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"title": "Research on Customer Satisfaction under Two Restrictive Discount Promotion Strategies Based on SPSS analysis software",
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"abstract": "In the e-commerce environment, customer satisfaction can reveal the pros and cons of restrictive discount promotions, but the generation mechanism of customer satisfaction and how enterprise effectively carry out restrictive discount promotions need further research. This paper proposes a customer satisfaction model based on two kinds of restrictive discount promotion: one is to explain the internal psychological mechanism of consumers under the promotion stimulation from the psychological perspective of counterfactual thinking, and the other is to introduce the need for cognition as a moderating variable. This paper uses SPSS20.0 analysis software to find that there are significant differences in the impact of two restrictive discount promotion strategies on customer satisfaction. Counterfactual thinking plays a mediating role in this relationship, and compared to consumers with low need for cognition, consumers with high need for cognition will have more counterfactual thinking. It provides theoretical and marketing management practice guidance for enterprises to improve customer satisfaction and carry out accurate and efficient promotion activities.",
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"abstract": "We propose a novel method to predict the worst-case noise using power distribution network impedance profile. Traditional target impedance method lacks of accuracy to estimate the worst-case noise. The convolution of impulse responses method can provide accurate noise prediction but cannot provide intuitive guidelines for the optimization. In this paper, we first analyze the ratio of the time-domain maximum output voltage noise to the multiplication of target impedance when time-domain maximum input current is confined to one. Particularly, for a typical PDN with two-stage or three-stage RLC tanks, the maximum ratio can be 2.09 and 2.72 respectively. We then propose our prediction in a standard RLC tank. We further extend it to analyze real PDN structures with multistage RLC tanks. Our results show that the proposed method can intuitively and accurately estimate the worst-case noise and provide straightforward design guidelines to improve PDN performance. For a typical lumped PDN with two-stage RLC tanks, the estimation error is within ±6%.",
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"content": "We propose a novel method to predict the worst-case noise using power distribution network impedance profile. Traditional target impedance method lacks of accuracy to estimate the worst-case noise. The convolution of impulse responses method can provide accurate noise prediction but cannot provide intuitive guidelines for the optimization. In this paper, we first analyze the ratio of the time-domain maximum output voltage noise to the multiplication of target impedance when time-domain maximum input current is confined to one. Particularly, for a typical PDN with two-stage or three-stage RLC tanks, the maximum ratio can be 2.09 and 2.72 respectively. We then propose our prediction in a standard RLC tank. We further extend it to analyze real PDN structures with multistage RLC tanks. Our results show that the proposed method can intuitively and accurately estimate the worst-case noise and provide straightforward design guidelines to improve PDN performance. For a typical lumped PDN with two-stage RLC tanks, the estimation error is within ±6%.",
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"Noise",
"Time Domain Analysis",
"Q Factor",
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"doi": "10.1109/ISDEA.2010.251",
"title": "Acoustical Holography Technology for Surface Noise Sources Location on Underwater Cylindrical Shell Structure",
"normalizedTitle": "Acoustical Holography Technology for Surface Noise Sources Location on Underwater Cylindrical Shell Structure",
"abstract": "Cylindrical Multi-reference Statistically Optimized Near-field Acoustical Holography technology is proposed to apply to surface noise sources locating on underwater cylindrical shell structure. Implementing process of the proposed noise sources locating technology, is compose of arranging reference points for the aimed system, carrying out partial sound field decomposition, reconstructing partial sound field on reconstruction surface and assembling composite vector of sound field on reconstruction surface with partial sound field in theory, and also composed of discrete sampling of continuous measure signals, eliminating measure noise, filtering for discrete signals and spanning virtual reference subspace with principal components extracted by coherence noise source in algorithm. The proposed noise sources locating technology is employed to realize visually location of surface noise sources on underwater cylindrical shell structure, and its numerical simulation is carried out. Results of numerical simulation show that: high resolution is obtained in vicinity of noise source, complex acoustic pressure spectrum is focused on the center of noise source on reconstruction surface, accurately location of noise source is realized, locating results of noise source are influenced by some factors, e.g. finite measurement aperture, filters' parameters in wave number-domain and parameters of sound projection algorithm, and the optimized location of noise source is obtained when properly considering the factors.",
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"abstractType": "Regular",
"content": "Cylindrical Multi-reference Statistically Optimized Near-field Acoustical Holography technology is proposed to apply to surface noise sources locating on underwater cylindrical shell structure. Implementing process of the proposed noise sources locating technology, is compose of arranging reference points for the aimed system, carrying out partial sound field decomposition, reconstructing partial sound field on reconstruction surface and assembling composite vector of sound field on reconstruction surface with partial sound field in theory, and also composed of discrete sampling of continuous measure signals, eliminating measure noise, filtering for discrete signals and spanning virtual reference subspace with principal components extracted by coherence noise source in algorithm. The proposed noise sources locating technology is employed to realize visually location of surface noise sources on underwater cylindrical shell structure, and its numerical simulation is carried out. Results of numerical simulation show that: high resolution is obtained in vicinity of noise source, complex acoustic pressure spectrum is focused on the center of noise source on reconstruction surface, accurately location of noise source is realized, locating results of noise source are influenced by some factors, e.g. finite measurement aperture, filters' parameters in wave number-domain and parameters of sound projection algorithm, and the optimized location of noise source is obtained when properly considering the factors.",
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"normalizedAbstract": "Cylindrical Multi-reference Statistically Optimized Near-field Acoustical Holography technology is proposed to apply to surface noise sources locating on underwater cylindrical shell structure. Implementing process of the proposed noise sources locating technology, is compose of arranging reference points for the aimed system, carrying out partial sound field decomposition, reconstructing partial sound field on reconstruction surface and assembling composite vector of sound field on reconstruction surface with partial sound field in theory, and also composed of discrete sampling of continuous measure signals, eliminating measure noise, filtering for discrete signals and spanning virtual reference subspace with principal components extracted by coherence noise source in algorithm. The proposed noise sources locating technology is employed to realize visually location of surface noise sources on underwater cylindrical shell structure, and its numerical simulation is carried out. Results of numerical simulation show that: high resolution is obtained in vicinity of noise source, complex acoustic pressure spectrum is focused on the center of noise source on reconstruction surface, accurately location of noise source is realized, locating results of noise source are influenced by some factors, e.g. finite measurement aperture, filters' parameters in wave number-domain and parameters of sound projection algorithm, and the optimized location of noise source is obtained when properly considering the factors.",
"fno": "4212a188",
"keywords": [
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"Acoustic Field",
"Acoustic Holography",
"Acoustic Noise",
"Acoustic Radiators",
"Acoustic Signal Processing",
"Numerical Analysis",
"Physics Computing",
"Shells Structures",
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"Surface Noise Sources On Cylindrical Shell Structure",
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"abstract": "Though a variety of misfire detection methods exist, the number of approaches based on structure-borne sound is scarce due to its difficult interpretation. The paper presents a procedure for misfire diagnosis that exploits a multichannel sound signal from accelerometers mounted on the surface of an automotive engine. The EM algorithm is used to decompose the measured sound into individual components associated with single combustions. For these simplified scenarios, a statistical test based on the shape of the reconstructed in-cylinder pressure is devised. Measurement data collected from a four cylinder test bed engine is used to validate the proposed approach and show its superiority to the single-channel solution.",
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"title": "Design, Automation & Test in Europe Conference & Exhibition",
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"title": "VHDL-AMS: The Missing Link in System Design - Experiments with Unified Modelling in Automotive Engineering",
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"abstract": "After the IEEE ballot accepted the first draft language reference manual for VHDL-AMS (IEEE PAR 1076.1) in October 1997, we now can spend time and effort on applying the new arising methodology to real world problems outside the electronic domain. In automotive engineering we have system design problems dealing with hydraulic or mechanic components and their controlling units, for which we expect a major advantage by introducing unified modelling to all domains. With the Brite/EuRam-Project TOOLSYS (a joined effort of automotive industry and tool makers to apply VHDL-AMS as unified modelling language on mixed-domain applications) we prove the suitability as unified modelling and interchange language for real-world systems and components. First experiments with hydraulic components reveal numerical problems on analog circuit simulators. None of the available strategies for these particularly hard problems are included by the electronic simulator makers. With VHDL-AMS multi-domain modelling seems possible, now we need multi-domain simulation environments.",
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"content": "After the IEEE ballot accepted the first draft language reference manual for VHDL-AMS (IEEE PAR 1076.1) in October 1997, we now can spend time and effort on applying the new arising methodology to real world problems outside the electronic domain. In automotive engineering we have system design problems dealing with hydraulic or mechanic components and their controlling units, for which we expect a major advantage by introducing unified modelling to all domains. With the Brite/EuRam-Project TOOLSYS (a joined effort of automotive industry and tool makers to apply VHDL-AMS as unified modelling language on mixed-domain applications) we prove the suitability as unified modelling and interchange language for real-world systems and components. First experiments with hydraulic components reveal numerical problems on analog circuit simulators. None of the available strategies for these particularly hard problems are included by the electronic simulator makers. With VHDL-AMS multi-domain modelling seems possible, now we need multi-domain simulation environments.",
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"doi": "10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.144",
"title": "Modeling of Rectangular Periodic Impulsive Noise in Low-Voltage Power Line Channels",
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"abstract": "A novel model is developed for the representation of time and frequency characteristic of the rectangular periodic impulsive noise (RPIN) whose envelope is rectangular in low-voltage power line channels. Its derivation is based on common periodic impulsive noises measurements and analyses and on using superposition method and unit periodic rectangular square wave weighting method. The results show that the model can accurately simulate the shape of time domain and the frequency components of RPIN in 10 KHz-30 MHz.",
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"content": "A novel model is developed for the representation of time and frequency characteristic of the rectangular periodic impulsive noise (RPIN) whose envelope is rectangular in low-voltage power line channels. Its derivation is based on common periodic impulsive noises measurements and analyses and on using superposition method and unit periodic rectangular square wave weighting method. The results show that the model can accurately simulate the shape of time domain and the frequency components of RPIN in 10 KHz-30 MHz.",
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"title": "2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)",
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"article": {
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"doi": "10.1109/WCMEIM48965.2019.00032",
"title": "Optimization of Subway Vehicle Interior Structure-Borne Noise Based on Nodal Contribution Analysis",
"normalizedTitle": "Optimization of Subway Vehicle Interior Structure-Borne Noise Based on Nodal Contribution Analysis",
"abstract": "During the operation of subway, the panels of the vehicle vibrate under external excitation. The radiation noise from the vibration of the panels is the main source of the interior structure-borne noise in low frequency domain. In this paper, the nodal contribution analysis method is used to calculate the influence of the nodes on the peak value of the sound pressure level in the vehicle. The peak sound pressure level of the vehicle interior noise is optimized by modifying the equivalent thickness of the local panels. After reducing the equivalent thickness of some floor panels to 17 mm, the peak value of the radiated noise of each field point generally decreases 2-5 dB. The results show that the nodal contribution analysis is effective when calculating the nodes that contribute the most to the interior noise of the vehicle. And the targeted optimization method which considers the characteristics of car body structure can improve the structure-borne noise level in the vehicle.",
"abstracts": [
{
"abstractType": "Regular",
"content": "During the operation of subway, the panels of the vehicle vibrate under external excitation. The radiation noise from the vibration of the panels is the main source of the interior structure-borne noise in low frequency domain. In this paper, the nodal contribution analysis method is used to calculate the influence of the nodes on the peak value of the sound pressure level in the vehicle. The peak sound pressure level of the vehicle interior noise is optimized by modifying the equivalent thickness of the local panels. After reducing the equivalent thickness of some floor panels to 17 mm, the peak value of the radiated noise of each field point generally decreases 2-5 dB. The results show that the nodal contribution analysis is effective when calculating the nodes that contribute the most to the interior noise of the vehicle. And the targeted optimization method which considers the characteristics of car body structure can improve the structure-borne noise level in the vehicle.",
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"Acoustic Noise",
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"Vehicle Vibrate",
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"Cavity Resonators",
"Acoustics",
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"Manufacturing",
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"Low Frequency",
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{
"affiliation": "Tongji University, China, & Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, China",
"fullName": "Bu Zheng",
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"affiliation": "Tongji University, China, & Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, China",
"fullName": "Li Li",
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{
"affiliation": "Tongji University, China, & Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, China",
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{
"affiliation": "Tongji University, China, & Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, China",
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"proceeding": {
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"title": "2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
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"title": "Research on Vibration and Noise of SUV Chassis Suspension System",
"normalizedTitle": "Research on Vibration and Noise of SUV Chassis Suspension System",
"abstract": "In the chassis system of modern automobiles, the suspension is used as the connecting medium between the wheels and the body, which can produce relative elastic motion between the two, and transmit the force and moment between the two, and alleviate the impact transmitted from the road Load to ensure smooth and stable driving of the car. Automotive NVH technology is one of the important performance indicators for Hyundai Motor's research and development, and vibration and noise are the two most important indicators in NVH performance research. When the car is driving, the road surface excitation is transmitted through the suspension system and acts on the body system to generate noise. The inherent characteristics of the chassis suspension system have an important influence on the vehicle vibration and noise problems. In this paper, the vehicle's vibration and noise research is carried out on the chassis suspension system of a certain SUV, the finite element modeling of the suspension system's shock absorber is carried out, and the finite element modal analysis is carried out.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In the chassis system of modern automobiles, the suspension is used as the connecting medium between the wheels and the body, which can produce relative elastic motion between the two, and transmit the force and moment between the two, and alleviate the impact transmitted from the road Load to ensure smooth and stable driving of the car. Automotive NVH technology is one of the important performance indicators for Hyundai Motor's research and development, and vibration and noise are the two most important indicators in NVH performance research. When the car is driving, the road surface excitation is transmitted through the suspension system and acts on the body system to generate noise. The inherent characteristics of the chassis suspension system have an important influence on the vehicle vibration and noise problems. In this paper, the vehicle's vibration and noise research is carried out on the chassis suspension system of a certain SUV, the finite element modeling of the suspension system's shock absorber is carried out, and the finite element modal analysis is carried out.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "In the chassis system of modern automobiles, the suspension is used as the connecting medium between the wheels and the body, which can produce relative elastic motion between the two, and transmit the force and moment between the two, and alleviate the impact transmitted from the road Load to ensure smooth and stable driving of the car. Automotive NVH technology is one of the important performance indicators for Hyundai Motor's research and development, and vibration and noise are the two most important indicators in NVH performance research. When the car is driving, the road surface excitation is transmitted through the suspension system and acts on the body system to generate noise. The inherent characteristics of the chassis suspension system have an important influence on the vehicle vibration and noise problems. In this paper, the vehicle's vibration and noise research is carried out on the chassis suspension system of a certain SUV, the finite element modeling of the suspension system's shock absorber is carried out, and the finite element modal analysis is carried out.",
"fno": "231400a307",
"keywords": [
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"Automobiles",
"Automotive Components",
"Automotive Engineering",
"Elasticity",
"Finite Element Analysis",
"Modal Analysis",
"Noise Abatement",
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"Suspensions Mechanical Components",
"Vehicle Dynamics",
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"Road Surface Excitation",
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"Vehicle Vibration",
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"Modern Automobiles",
"Connecting Medium",
"Relative Elastic Motion",
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"authors": [
{
"affiliation": "State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu,China",
"fullName": "Yongqiang Liu",
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"affiliation": "State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu,China",
"fullName": "Huanyun Dai",
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{
"affiliation": "State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu,China",
"fullName": "Pingbo Wu",
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{
"affiliation": "State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu,China",
"fullName": "Zeng Jing",
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{
"affiliation": "State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu,China",
"fullName": "Ye Song",
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{
"affiliation": "State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu,China",
"fullName": "Tao Li",
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"abstracts": [
{
"abstractType": "Regular",
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"normalizedAbstract": "Reusing dynamic sequences of instructions - i.e., traces - improves performance for many benchmarks. However, many traces are not reused because of unavailable inputs in the reuse test. Reuse through speculation on traces (RST) aims to increase the number of reused traces by predicting those inputs when necessary, with minimal additional hardware when compared to nonspeculative trace reuse. In this paper, we compare last n-value and stride-aware prediction for trace inputs. Last n-value prediction uses the last recorded values as predictions, while stride-aware prediction identifies and uses strides to compute new predictions. Stride-aware RST has a higher hardware cost than last n-value RST and has also the shortcoming of not allowing branches inside predicted traces. This paper aims to determine which scheme is the most beneficial for RST. We show that stride values are important for reuse in RST and that last n-value prediction works as well as the more sophisticated stride-aware approach with simpler hardware.",
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"abstract": "Execution traces generated from running high performance computing applications (HPC) may reach tens or hundreds of gigabytes. The trace data can be used for visualization, analysis of profiling information about the target system. However, in order to make the utilization of this data efficient, the trace needs to be represented in a structure that facilitates the access to its data. One important factor that should be considered when representing trace data is scalability; the trace met model should be able to represent the trace in a compact form that enables scalability of the analysis tools. Additionally, a trace file needs to be available in a format that is well-known in the software engineering area by making it open. In this paper, we propose a metamodel for representing dynamic information generated from HPC that use the MPI standard as the inter-process communication model. MPI Trace Format (MTF) is meant to meet the aforementioned requirements and is intended to facilitate the interoperability among different trace analysis tools.",
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"content": "For many performance analysis problems, the ability to reason across traces is invaluable. However, due to non-determinism in the OS and virtual machines, even two identical runs of an application yield slightly different traces. For example, it is unlikely that two identical runs of an application will suffer context switches at exactly the same points. These sorts of variations across traces make it difficult to reason across traces. This paper describes and evaluates an algorithm, dynamic time warping (DTW) that can be used to align traces, thus enabling us to reason across traces. While DTW comes from prior work our use of DTW is novel. Also we describe and evaluate an enhancement to DTW that significantly improves the quality of its alignments. Our results show that for applications whose performance varies significantly over time, DTW does a great job at aligning the traces. For applications whose performance stays largely constant for significant periods of time, the original DTW does not perform well; however, our enhanced DTW performs much better.",
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"abstract": "Trace driven simulation is a well-established method of performance analysis for single processor computer systems. However, efficient and accurate memory address tracing for parallel computer systems is not well understood. The authors present a critical survey of recently implemented approaches to address tracing and highlight the issues specific to collection of traces for both shared and distributed memory parallel computers. These issues include potential distortion of the relative ordering of events by the address tracing activity, realistic interleaving of addresses generated by multiple processors, and I/O and storage problems associated with collecting traces for large parallel systems. The strengths and weaknesses of the parallel tracing approaches are described.<>",
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"id": "1t2mulrWQec",
"title": "2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)",
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"article": {
"id": "1t2mL3Fcn0k",
"doi": "10.1109/WCMEIM52463.2020.00101",
"title": "Simulation Analysis of Mechanical Property of Aircraft Throttle Controller",
"normalizedTitle": "Simulation Analysis of Mechanical Property of Aircraft Throttle Controller",
"abstract": "Automatic throttle control system is widely used to assist to control the engine in modern aircraft. The throttle controller is an important component of the automatic throttle control mechanism. In order to meet the mechanical properties of aircraft throttle controller in the bumpy flight, and ensure the strength, stiffness and reliability of the product, the vibration simulation analysis of throttle controller was carried out. After 3D model of the throttle controller, the ANSYS was used to analyze the stress, strain and displacement of the throttle drive controller under impact loading. The modal analysis was carried out in order to find the first six modals and the lowest frequency. Based on modal analysis, the vibration curve was added to carry out the random vibration analysis as well. The displacements on Direction X, Y and Z were observed under the vibration. The simulation results suggest that the design of the throttle controller is reasonable, the structure and the strength meet the requirements of the project.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Automatic throttle control system is widely used to assist to control the engine in modern aircraft. The throttle controller is an important component of the automatic throttle control mechanism. In order to meet the mechanical properties of aircraft throttle controller in the bumpy flight, and ensure the strength, stiffness and reliability of the product, the vibration simulation analysis of throttle controller was carried out. After 3D model of the throttle controller, the ANSYS was used to analyze the stress, strain and displacement of the throttle drive controller under impact loading. The modal analysis was carried out in order to find the first six modals and the lowest frequency. Based on modal analysis, the vibration curve was added to carry out the random vibration analysis as well. The displacements on Direction X, Y and Z were observed under the vibration. The simulation results suggest that the design of the throttle controller is reasonable, the structure and the strength meet the requirements of the project.",
"__typename": "ArticleAbstractType"
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],
"normalizedAbstract": "Automatic throttle control system is widely used to assist to control the engine in modern aircraft. The throttle controller is an important component of the automatic throttle control mechanism. In order to meet the mechanical properties of aircraft throttle controller in the bumpy flight, and ensure the strength, stiffness and reliability of the product, the vibration simulation analysis of throttle controller was carried out. After 3D model of the throttle controller, the ANSYS was used to analyze the stress, strain and displacement of the throttle drive controller under impact loading. The modal analysis was carried out in order to find the first six modals and the lowest frequency. Based on modal analysis, the vibration curve was added to carry out the random vibration analysis as well. The displacements on Direction X, Y and Z were observed under the vibration. The simulation results suggest that the design of the throttle controller is reasonable, the structure and the strength meet the requirements of the project.",
"fno": "410900a454",
"keywords": [
"Aerospace Engines",
"Aerospace Industry",
"Aircraft",
"Control System Synthesis",
"Finite Element Analysis",
"Hydraulic Drives",
"Impact Mechanical",
"Mechanical Strength",
"Modal Analysis",
"Reliability",
"Rigidity",
"Stress Strain Relations",
"Vibrations",
"Mechanical Property",
"Automatic Throttle Control Mechanism",
"Vibration Simulation Analysis",
"Throttle Drive Controller",
"Modal Analysis",
"Aircraft Engine",
"Mechanical Properties",
"Bumpy Flight",
"Mechanical Strength",
"Product Stiffness",
"Product Reliability",
"3 D Model",
"ANSYS",
"Stress Strain Model",
"Impact Loading",
"Aircraft Throttle Controller Design",
"Vibrations",
"Analytical Models",
"Three Dimensional Displays",
"Atmospheric Modeling",
"Modal Analysis",
"Aircraft",
"Aircraft Propulsion",
"Throttle Controller",
"Mechanical Properties",
"Impact Simulation",
"Modal Analysis",
"Random Vibration Analysis"
],
"authors": [
{
"affiliation": "Hebei University of Architecture,Department of Mechanical Engineering,Zhangjiakou,Hebei,China",
"fullName": "Xiaoyu Ni",
"givenName": "Xiaoyu",
"surname": "Ni",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hebei University of Architecture,Department of Mechanical Engineering,Zhangjiakou,Hebei,China",
"fullName": "Canguo Zhang",
"givenName": "Canguo",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hebei University of Architecture,Department of Mechanical Engineering,Zhangjiakou,Hebei,China",
"fullName": "Guoqing Shi",
"givenName": "Guoqing",
"surname": "Shi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hebei University of Architecture,Department of Mechanical Engineering,Zhangjiakou,Hebei,China",
"fullName": "Shaolei Wang",
"givenName": "Shaolei",
"surname": "Wang",
"__typename": "ArticleAuthorType"
}
],
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"pubDate": "2020-12-01T00:00:00",
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"pages": "454-457",
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"proceeding": {
"id": "1tzywdsEsQo",
"title": "2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
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"article": {
"id": "1tzyOQ5bCH6",
"doi": "10.1109/ICMCCE51767.2020.00107",
"title": "MBSE-based functional hazard assessment of civil aircraft braking system",
"normalizedTitle": "MBSE-based functional hazard assessment of civil aircraft braking system",
"abstract": "Safety is the basic condition that civil aircraft needs to guarantee. Safety analysis is one of the key processes in the aircraft design phase. Functional hazard assessment is the first step required for safety analysis. Its integrity affects the entire safety assessment process, and even it is the basic outline document for the entire aircraft design. The aircraft brake system is one of the key systems to ensure the aircraft deceleration on the ground, especially at low speeds is the only system that decelerates the aircraft. In the safety analysis, the aircraft brake system is the key to whether the aircraft can land safely. This paper proposes a model based system engineering (MBSE)-based functional hazard assessment construction process for aircraft brake systems. It provides guidance for the aircraft to further carry out the overall design of the aircraft from a system perspective, and effectively improves the efficiency of aircraft safety analysis.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Safety is the basic condition that civil aircraft needs to guarantee. Safety analysis is one of the key processes in the aircraft design phase. Functional hazard assessment is the first step required for safety analysis. Its integrity affects the entire safety assessment process, and even it is the basic outline document for the entire aircraft design. The aircraft brake system is one of the key systems to ensure the aircraft deceleration on the ground, especially at low speeds is the only system that decelerates the aircraft. In the safety analysis, the aircraft brake system is the key to whether the aircraft can land safely. This paper proposes a model based system engineering (MBSE)-based functional hazard assessment construction process for aircraft brake systems. It provides guidance for the aircraft to further carry out the overall design of the aircraft from a system perspective, and effectively improves the efficiency of aircraft safety analysis.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Safety is the basic condition that civil aircraft needs to guarantee. Safety analysis is one of the key processes in the aircraft design phase. Functional hazard assessment is the first step required for safety analysis. Its integrity affects the entire safety assessment process, and even it is the basic outline document for the entire aircraft design. The aircraft brake system is one of the key systems to ensure the aircraft deceleration on the ground, especially at low speeds is the only system that decelerates the aircraft. In the safety analysis, the aircraft brake system is the key to whether the aircraft can land safely. This paper proposes a model based system engineering (MBSE)-based functional hazard assessment construction process for aircraft brake systems. It provides guidance for the aircraft to further carry out the overall design of the aircraft from a system perspective, and effectively improves the efficiency of aircraft safety analysis.",
"fno": "231400a460",
"keywords": [
"Air Safety",
"Aircraft",
"Brakes",
"Design Engineering",
"Systems Engineering",
"Aircraft Safety Analysis",
"MBSE Based Functional Hazard Assessment",
"Aircraft Design Phase",
"Civil Aircraft Braking System",
"Model Based System Engineering",
"Atmospheric Modeling",
"Computational Modeling",
"Hazards",
"Aircraft Manufacture",
"Brakes",
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"Aircraft Propulsion",
"Aircraft",
"Brake System",
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"authors": [
{
"affiliation": "Aircraft Design and Research Institute of COMAC, SADRI,Shanghai,P.R. China",
"fullName": "Yimin Jiang",
"givenName": "Yimin",
"surname": "Jiang",
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{
"affiliation": "Beihang University, BUAA,Beijing,P.R. China",
"fullName": "Ning Bai",
"givenName": "Ning",
"surname": "Bai",
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{
"affiliation": "Aircraft Design and Research Institute of COMAC, SADRI,Shanghai,P.R. China",
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"surname": "Yang",
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{
"affiliation": "Beihang University, BUAA,Beijing,P.R. China",
"fullName": "Hao Zhang",
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"surname": "Zhang",
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{
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"fullName": "Xiaochao Liu",
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"proceeding": {
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"title": "2020 7th International Conference on Information Science and Control Engineering (ICISCE)",
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"article": {
"id": "1x3kFs1VmaQ",
"doi": "10.1109/ICISCE50968.2020.00430",
"title": "Staffing Optimization In Aircraft Assembly Pulsation Line",
"normalizedTitle": "Staffing Optimization In Aircraft Assembly Pulsation Line",
"abstract": "The utilization rate of staff resource deeply affects the production performance in the aircraft assembly pulsation line. Most of the researches are focused on the problem that how to create and solve the staffing optimization model. However, in the aircraft assembly pulsation line, due to the complex logical relationship and resource requirements, it is difficult to express such constraints in the staffing model. In this paper, a new method is proposed for the solution of staffing optimization question in the aircraft assembly pulsation line. First, the formal expression of staff resource and line is defined, based on which the staff allocation method is established to minimize the total number of staff in the line. The initial plan for the allocation of staff is achieved through the genetic algorithm. Second, creating model based on discrete event simulation platform. And a simulation-based method is built to solve the staff resource considering the constraint of the capacity. The solution of staff allocation is calculated by applying the simulation iteration. Finally, taking an aircraft assembly pulsation line as an example, the feasibility of the proposed method is verified.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The utilization rate of staff resource deeply affects the production performance in the aircraft assembly pulsation line. Most of the researches are focused on the problem that how to create and solve the staffing optimization model. However, in the aircraft assembly pulsation line, due to the complex logical relationship and resource requirements, it is difficult to express such constraints in the staffing model. In this paper, a new method is proposed for the solution of staffing optimization question in the aircraft assembly pulsation line. First, the formal expression of staff resource and line is defined, based on which the staff allocation method is established to minimize the total number of staff in the line. The initial plan for the allocation of staff is achieved through the genetic algorithm. Second, creating model based on discrete event simulation platform. And a simulation-based method is built to solve the staff resource considering the constraint of the capacity. The solution of staff allocation is calculated by applying the simulation iteration. Finally, taking an aircraft assembly pulsation line as an example, the feasibility of the proposed method is verified.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "The utilization rate of staff resource deeply affects the production performance in the aircraft assembly pulsation line. Most of the researches are focused on the problem that how to create and solve the staffing optimization model. However, in the aircraft assembly pulsation line, due to the complex logical relationship and resource requirements, it is difficult to express such constraints in the staffing model. In this paper, a new method is proposed for the solution of staffing optimization question in the aircraft assembly pulsation line. First, the formal expression of staff resource and line is defined, based on which the staff allocation method is established to minimize the total number of staff in the line. The initial plan for the allocation of staff is achieved through the genetic algorithm. Second, creating model based on discrete event simulation platform. And a simulation-based method is built to solve the staff resource considering the constraint of the capacity. The solution of staff allocation is calculated by applying the simulation iteration. Finally, taking an aircraft assembly pulsation line as an example, the feasibility of the proposed method is verified.",
"fno": "640600c200",
"keywords": [
"Aircraft",
"Assembling",
"Discrete Event Simulation",
"Genetic Algorithms",
"Optimisation",
"Aircraft Assembly Pulsation Line",
"Staffing Optimization Model",
"Staff Resource Utilization Rate",
"Production Performance",
"Complex Logical Relationship",
"Resource Requirements",
"Genetic Algorithm",
"Discrete Event Simulation Platform",
"Information Science",
"Atmospheric Modeling",
"Production",
"Discrete Event Simulation",
"Resource Management",
"Aircraft",
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"Aircraft Assembly Pulsation Line",
"Staffing Optimization",
"Discrete Event Simulation",
"Genetic Algorithm"
],
"authors": [
{
"affiliation": "Northwestern Polytechnical University,School of Mechanical Engineering,Xi’an,Shanxi Province,China",
"fullName": "Ao Ruibo",
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{
"affiliation": "Northwestern Polytechnical University,School of Mechanical Engineering,Xi’an,Shanxi Province,China",
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{
"affiliation": "Northwestern Polytechnical University,School of Mechanical Engineering,Xi’an,Shanxi Province,China",
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"title": "2018 IEEE Symposium on Visualization for Cyber Security (VizSec)",
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"title": "An Empirical Study on Perceptually Masking Privacy in Graph Visualizations",
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"abstract": "Researchers such as sociologists create visualizations of multivariate node-link diagrams to present findings about the relationships in communities. Unfortunately, such visualizations can inadvertently expose the ostensibly private identities of the persons that make up the dataset. By purposely violating graph readability metrics for a small region of the graph, we conjecture that local, exposed privacy leaks may be perceptually masked from easy recognition. In particular, we consider three commonly known metrics-edge crossing, node clustering, and node-edge overlapping-as a strategy to hide leaks. We evaluate the effectiveness of violating these metrics by conducting a user study that measures subject performance at visually searching for and identifying a privacy leak. Results show that when more masking operations are applied, participants needed more time to locate the privacy leak, though exhaustive, brute force search can eventually find it. We suggest future directions on how perceptual masking can be a viable strategy, primarily where modifying the underlying network structure is unfeasible.",
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{
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"content": "Researchers such as sociologists create visualizations of multivariate node-link diagrams to present findings about the relationships in communities. Unfortunately, such visualizations can inadvertently expose the ostensibly private identities of the persons that make up the dataset. By purposely violating graph readability metrics for a small region of the graph, we conjecture that local, exposed privacy leaks may be perceptually masked from easy recognition. In particular, we consider three commonly known metrics-edge crossing, node clustering, and node-edge overlapping-as a strategy to hide leaks. We evaluate the effectiveness of violating these metrics by conducting a user study that measures subject performance at visually searching for and identifying a privacy leak. Results show that when more masking operations are applied, participants needed more time to locate the privacy leak, though exhaustive, brute force search can eventually find it. We suggest future directions on how perceptual masking can be a viable strategy, primarily where modifying the underlying network structure is unfeasible.",
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"affiliation": "University of California, Davis",
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"affiliation": "University of California, Davis",
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"affiliation": "University of California, Davis",
"fullName": "Jing Li",
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"affiliation": "University of California, Davis",
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"proceeding": {
"id": "1KfQshha0dW",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
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"doi": "10.1109/BigData55660.2022.10020893",
"title": "Anonymizing Periodical Releases of SRS Data by Fusing Differential Privacy",
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"abstract": "Spontaneous reporting systems (SRS) have been developed to collect adverse event records that contain personal demographics and sensitive information like drug indications and adverse reactions. The release of SRS data may disclose the privacy of the data provider. Unlike other microdata, very few anonymyization methods have been proposed to protect individual privacy while publishing SRS data. MS(k, θ<sup>*</sup>)-bounding is the first privacy model for SRS data that considers multiple individual records, mutli-valued sensitive attributes, and rare events. PPMS(k, θ<sup>*</sup>)-bounding then is proposed for solving cross-release attacks caused by the follow-up cases in the periodical SRS releasing scenario. A recent trend of microdata anonymization combines the traditional syntactic model and differential privacy, fusing the advantages of both models to yield a better privacy protection method. This paper proposes the PPMS-DP(k, θ<sup>*</sup>, ε) framework, an enhancement of PPMS(k, θ<sup>*</sup>)-bounding that embraces differential privacy to improve privacy protection of periodically released SRS data. We propose two anonymization algorithms conforming to the PPMS-DP(k, θ<sup>*</sup>, ε) framework, PPMS-DP<inf>num</inf> and PPMS-DP<inf>all</inf>. Experimental results on the FAERS datasets show that both PPMS-DP<inf>num</inf> and PPMS-DP<inf>all</inf> provide significantly better privacy protection than PPMS-(k, θ<sup>*</sup>)-bounding without sacrificing data distortion and data utility.",
"abstracts": [
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"content": "Spontaneous reporting systems (SRS) have been developed to collect adverse event records that contain personal demographics and sensitive information like drug indications and adverse reactions. The release of SRS data may disclose the privacy of the data provider. Unlike other microdata, very few anonymyization methods have been proposed to protect individual privacy while publishing SRS data. MS(k, θ<sup>*</sup>)-bounding is the first privacy model for SRS data that considers multiple individual records, mutli-valued sensitive attributes, and rare events. PPMS(k, θ<sup>*</sup>)-bounding then is proposed for solving cross-release attacks caused by the follow-up cases in the periodical SRS releasing scenario. A recent trend of microdata anonymization combines the traditional syntactic model and differential privacy, fusing the advantages of both models to yield a better privacy protection method. This paper proposes the PPMS-DP(k, θ<sup>*</sup>, ε) framework, an enhancement of PPMS(k, θ<sup>*</sup>)-bounding that embraces differential privacy to improve privacy protection of periodically released SRS data. We propose two anonymization algorithms conforming to the PPMS-DP(k, θ<sup>*</sup>, ε) framework, PPMS-DP<inf>num</inf> and PPMS-DP<inf>all</inf>. Experimental results on the FAERS datasets show that both PPMS-DP<inf>num</inf> and PPMS-DP<inf>all</inf> provide significantly better privacy protection than PPMS-(k, θ<sup>*</sup>)-bounding without sacrificing data distortion and data utility.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "Spontaneous reporting systems (SRS) have been developed to collect adverse event records that contain personal demographics and sensitive information like drug indications and adverse reactions. The release of SRS data may disclose the privacy of the data provider. Unlike other microdata, very few anonymyization methods have been proposed to protect individual privacy while publishing SRS data. MS(k, θ*)-bounding is the first privacy model for SRS data that considers multiple individual records, mutli-valued sensitive attributes, and rare events. PPMS(k, θ*)-bounding then is proposed for solving cross-release attacks caused by the follow-up cases in the periodical SRS releasing scenario. A recent trend of microdata anonymization combines the traditional syntactic model and differential privacy, fusing the advantages of both models to yield a better privacy protection method. This paper proposes the PPMS-DP(k, θ*, ε) framework, an enhancement of PPMS(k, θ*)-bounding that embraces differential privacy to improve privacy protection of periodically released SRS data. We propose two anonymization algorithms conforming to the PPMS-DP(k, θ*, ε) framework, PPMS-DPnum and PPMS-DPall. Experimental results on the FAERS datasets show that both PPMS-DPnum and PPMS-DPall provide significantly better privacy protection than PPMS-(k, θ*)-bounding without sacrificing data distortion and data utility.",
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"authors": [
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"affiliation": "National University of Kaohsiung,Dept. of Comp. Sci. and Info. Eng.,Kaohsiung,Taiwan",
"fullName": "Yi-Yuang Wu",
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"affiliation": "National University of Kaohsiung,Dept. of Comp. Sci. and Info. Eng.,Kaohsiung,Taiwan",
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"affiliation": "National University of Kaohsiung,Dept. of Comp. Sci. and Info. Eng.,Kaohsiung,Taiwan",
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"title": "Embracing Differential Privacy for Anonymizing Spontaneous ADE Reporting Data",
"normalizedTitle": "Embracing Differential Privacy for Anonymizing Spontaneous ADE Reporting Data",
"abstract": "Spontaneous ADE (Adverse Drug Event) reporting system, a widely established system for collecting adverse event of drug reaction, is a kind of medical data repository containing personal information, such as sex, age, weight, disease and drug information. These data have to be anonymized to protect patient's privacy before being released to the professionals for analysis. We previously have proposed a privacy model MS(k, 8*)-bounding for ADE reporting data, a kind of syntactic anonymity model. One of its weakness is the requirement of background knowledge available to the attacker. This model becomes awkward when full knowledge of the background information held by the attacker is impossible. Differential privacy is an emerging anonymization technique with rigorous theoretical foundation and recognized as a replacement of syntactic anonymity models. It can provide effective privacy protection without considering background knowledge available to the attacker at the cost of causing serious data distortion. This makes its hardly applicable to anonymize medical data. This research endeavored to fuse both advantages of syntactic anonymity and differential privacy. We combine MS(k, 8*)-bounding with differential privacy, proposing a new privacy framework MSDP(k, 8*, ε)-bounding and the corresponding anonymization algorithm. Empirical evaluation on the FAERS data show that in comparison with MS-bounding and two contemporary differential privacy methods, our proposed method achieves better trade-off between protecting personal privacy and reducing data distortion, while maintaining the same level of strength of the ADR signal as done by MS-bounding.",
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"abstractType": "Regular",
"content": "Spontaneous ADE (Adverse Drug Event) reporting system, a widely established system for collecting adverse event of drug reaction, is a kind of medical data repository containing personal information, such as sex, age, weight, disease and drug information. These data have to be anonymized to protect patient's privacy before being released to the professionals for analysis. We previously have proposed a privacy model MS(k, 8*)-bounding for ADE reporting data, a kind of syntactic anonymity model. One of its weakness is the requirement of background knowledge available to the attacker. This model becomes awkward when full knowledge of the background information held by the attacker is impossible. Differential privacy is an emerging anonymization technique with rigorous theoretical foundation and recognized as a replacement of syntactic anonymity models. It can provide effective privacy protection without considering background knowledge available to the attacker at the cost of causing serious data distortion. This makes its hardly applicable to anonymize medical data. This research endeavored to fuse both advantages of syntactic anonymity and differential privacy. We combine MS(k, 8*)-bounding with differential privacy, proposing a new privacy framework MSDP(k, 8*, ε)-bounding and the corresponding anonymization algorithm. Empirical evaluation on the FAERS data show that in comparison with MS-bounding and two contemporary differential privacy methods, our proposed method achieves better trade-off between protecting personal privacy and reducing data distortion, while maintaining the same level of strength of the ADR signal as done by MS-bounding.",
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"affiliation": "National University of Kaohsiung,Dept. of Computer Science and Information Engineering,Kaohsiung,Taiwan",
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"abstract": "Design of experiments and surrogate models method facilitating much of todaypsilas engineering design and optimization. In this paper we systematically compare several experimental design types and surrogate modeling techniques in terms of their capability to generate accurate approximations for the shape optimization of underwater gliders. The parametric geometry construction, mesh generation and computation fluid dynamics were integrated as an automatic analysis process. Procedures of surrogate model construction were presented and the characteristics and applicability of response surface model and radial basis function model were discussed. A fast design exploration and multi-objective optimization was implemented. At last, the optimal plane shape of the underwater glider was found out based on the surrogate model.",
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"affiliation": "State Key Lab. of Robot., Chinese Acad. of Sci., Shenyang",
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"abstract": "Understanding the influence of multiple parameters in a complex simulation setting is a difficult task. In the ideal case, the scientist can freely steer such a simulation and is immediately presented with the results for a certain configuration of the input parameters. Such an exploration process is however not possible if the simulation is computationally too expensive. For these cases we present in this paper a scalable computational steering approach utilizing a fast surrogate model as substitute for the time-consuming simulation. The surrogate model we propose is based on the sparse grid technique, and we identify the main computational tasks associated with its evaluation and its extension. We further show how distributed data management combined with the specific use of accelerators allows us to approximate and deliver simulation results to a high-resolution visualization system in real-time. This significantly enhances the steering workflow and facilitates the interactive exploration of large datasets.",
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"abstract": "The prediction reliability of neural networks is important in many applications. Specifically, in safety-critical domains, such as cancer prediction or autonomous driving, a reliable confidence of model's prediction is critical for the interpretation of the results. Modern deep neural networks have achieved a significant improvement in performance for many different image classification tasks. However, these networks tend to be poorly calibrated in terms of output confidence. Temperature scaling is an efficient post-processing-based calibration scheme and obtains well calibrated results. In this study, we leverage the concept of temperature scaling to build a sophisticated bin-wise scaling. Furthermore, we adopt augmentation of validation samples for elaborated scaling. The proposed methods consistently improve calibration performance with various datasets and deep convolutional neural network models.",
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"abstract": "Music shares a very special relation with human emotions. We often choose to listen to a song or music which best fits our mood at that instant. A lot of research and study has been going on in the field of Music mood recognition in the recent years. We contribute to make an effort for automatic identification of mood underlying the audio songs by mining their spectral and temporal audio features. Our current work involves analysis of various classification algorithms in order to learn, train and test the model representing the moods of the audio songs. The focus is on the Indian popular music pieces and our work continues to analyze, develop and improve the algorithms to produce a system to recognize the mood category of the audio files automatically. The experimental results show a satisfactory performance of the system in recognizing the music mood by using ensemble classification tree techniques.",
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"abstract": "Relating sounds to visuals, like photographs, is something humans do subconsciously every day. Deep learning has allowed for several image-related applications, with some focusing on generating labels for images, or synthesize images from a text description. Similarly, it has been employed to create new music scores from existing ones, or add lyrics to a song. In this work, we bring sight and sound together and present IMuCo, an intelligent music composer that creates original music for any given image, taking into consideration what its implied mood is. Our music augmentation and composing methodology attempts to translate image “linguistics” into music “linguistics” without any intermediate natural language translation steps. We propose an encoder-decoder architecture to translate an image into music, first classifying it into one of predefined moods, then generating music to match it. We discuss in detail how we created the training dataset, including several feature engineering decisions in terms of representing music. We also introduce an evaluation classifier framework used for validation and evaluation of the system, and present experimental results of IMuCo's prototype for two moods: happy and sad. IMuCo can be the core component of a framework that composes the soundtrack for longer video clips, used in advertising, art, and entertainment industries.",
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"abstract": "Roadmap methods were widely used in route planning fields, both for robots and unmanned aircrafts. Traditional roadmap is constituted by connecting the vertexes of convex obstacle, which is related to the locations of start and goal of route, so the roadmap can not be reused when anyone of start and goal changed. Absence of reusability reduces the efficiency of route planning by using roadmap. A new roadmap constitution method was proposed in this paper, which is build on dividing the 2D configuration space into multi-scale grids and setting nodes of roadmap on grid boundary using Level-Set method, same method was used to construct the map cells of roadmap between any two nodes lays on same grid. The roadmap constituted with new method can be reused when the start or goal was changed; it is efficient for replanning problem.",
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"abstract": "Associating the regions of a geographic subdivision with the cells of a grid is a basic operation that is used in various types of maps, like spatially ordered treemaps and OD maps. In these cases the regular shapes of the grid cells allows easy representation of extra information about the regions. The main challenge is to find an association that allows a user to find a region in the grid quickly. We call the representation of a set of regions as a grid a grid map.",
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"abstract": "The rapid growth of science and technology influences to Digital Arts. Digital art is no more unfamiliar genre in art field. We can see many kinds of digital arts in our surroundings. High technology makes digital art more brilliant and various. Interactivity is very important factor in digital art. Some interactive digital art works are look like a game. Many digital artists make their art works like game using reactions of spectators. For examples, touching, sound, moving and so on. Many kinds of interactive control elements are used in interactive arts. Some interactive artworks are called game art, because they have strong disposition of games. Usually, we define game art when ¡®goal' and 'match' concept is used in interactive art. Interactive art and game are very similar genre. One of important things are spectators and they are immersed to the interactive artwork when the artwork has dispositions of games. Most digital artists design their artwork using their own philosophical thinking. However, we tried to apply the learning system that is related to the game to interactive artworks. In the artistic point of view, we analyzed ¡®Insight Learning', ¡®Reinforcement Learning',' Neural Network', and ¡®Fuzzy' in some digital interactive artworks. These learning systems are typical learning system in game fields.",
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"content": "The rapid growth of science and technology influences to Digital Arts. Digital art is no more unfamiliar genre in art field. We can see many kinds of digital arts in our surroundings. High technology makes digital art more brilliant and various. Interactivity is very important factor in digital art. Some interactive digital art works are look like a game. Many digital artists make their art works like game using reactions of spectators. For examples, touching, sound, moving and so on. Many kinds of interactive control elements are used in interactive arts. Some interactive artworks are called game art, because they have strong disposition of games. Usually, we define game art when ¡®goal' and 'match' concept is used in interactive art. Interactive art and game are very similar genre. One of important things are spectators and they are immersed to the interactive artwork when the artwork has dispositions of games. Most digital artists design their artwork using their own philosophical thinking. However, we tried to apply the learning system that is related to the game to interactive artworks. In the artistic point of view, we analyzed ¡®Insight Learning', ¡®Reinforcement Learning',' Neural Network', and ¡®Fuzzy' in some digital interactive artworks. These learning systems are typical learning system in game fields.",
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"abstract": "Polarization Imaging is a useful technique to optically determine the orientation of optic axis of birefringent crystals by examining the interference patterns produced in convergent polarized light by the crystal. We developed a polariscope, also known as a conoscope to characterize large mercurous bromide (Hg2Br2) crystals. Such crystals have large birefringence and they are transparent from 0.35 to 30 micron. They are very useful in designing Acousto-Optic Tunable Filters (AOTFs) for multi-spectral and hyperspectral imaging applications, especially in the strategic Long Wavelength Infrared (LWIR) atmospheric window covering 8 to 12 mm. Fabrication of an efficient LWIR AOTF in Hg2Br2 crystal requires knowledge of precise crystallographic orientation of the crystal. We have grown 2-inch in diameter and 2-inch long Hg2Br2 crystals, by vapor phase technique. The Laue x-ray diffraction technique is difficult in the case of this material, especially for large as grown crystals, due to absorption and x-ray induced fluorescence. Conoscopy is a good technique to verify optic and other axes directions and is complimentary to the x-ray diffraction method used for precise crystallographic orientation. We are reporting here, use of a combination of conoscopy, x-ray diffraction, and the birefringent property of Hg2Br2 to identify the optic and other axes directions in such crystals.",
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"abstract": "Algorithms suitable for use on parallel computers are being developed to simulate the scattering and absorption of light by small penetrable objects such as ice crystals and biological cells. The solution of the problem is based on a geometrical optics approach. Each incident ray undergoes multiple reflections and refractions as it travels through the scattering object. Data parallel algorithms have been developed which assign one processor to each incident ray. A massively parallel architecture consisting of 64 K processors (the Connection Machine) is being used. This means that the scattering calculations for over 65000 rays can be carried out simultaneously. Using a stochastic approach, a Monte Carlo technique is used whereby each ray is either reflected or refracted based on probabilities.",
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"title": "Mirror Surface Reconstruction Using Polarization Field",
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"abstract": "Mirror surfaces are notoriously difficult to reconstruct. In this paper, we present a novel computational imaging approach for reconstructing complex mirror surfaces using a dense illumination field with angularly varying polarization states, which we call the polarization field. Specifically, we generate the polarization field using a commercial LCD with the top polarizer removed. We mathematically model the liquid crystals as polarization rotators using Jones calculus and show that the rotated polarization states of outgoing rays encode angular information (e.g., ray directions). To model reflection under the polarization field, we derive a reflection image formation model based on the Fresnel's equations and estimate incident ray positions and directions by coding the polarization field. Finally, we triangulate the incident rays with the camera rays to recover normals/depths of the mirror surface. Comprehensive simulations and real experiments demonstrate the effectiveness of our approach.",
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"affiliation": "ShanghaiTech University, Shanghai, 201210, China",
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"title": "2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)",
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"title": "Critical angle method applied in determining the refractive indices and axis direction of crystal",
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"abstract": "Measurement of birefringence is crucial for the investigation of polarization optical components, including frequency-doubling crystal, electro-optic crystal, liquid crystal modulator. The commonly used measurement methods are based on determining the phase difference after transmission, and scarcely any method based on reflection is utilized. We propose an improved method of measuring the refractive index curve mode of anisotropy crystals during rotation, based on which we are able to determine the refractive indices and optical axis directions of the crystal according to a retrieval method. The measurement method involves precisely rotating and scanning the index ellipsoid and extracts two refractive indices from images captured at every rotation angle. The retrieval method processes two sets of data in a group and gives the fitted parameters, including the refractive indices and the optical axis direction in space. Simulation results are given, and two types of crystal, quartz and selenite, exemplifying uniaxial crystal and biaxial crystal, are experimented. The experiment results show that the fitted parameters are in good agreement with the theory. Compared with existing methods, our method has two main advantages. The sample does not need to be cut into a specific shape or prior information of the sample obtained, meanwhile the complete optical axis direction in space, including the intersection angle to the surface plane and the azimuth angle in the plan, can be determined, which benefits the evaluation and improvement of the material.",
"abstracts": [
{
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"content": "Measurement of birefringence is crucial for the investigation of polarization optical components, including frequency-doubling crystal, electro-optic crystal, liquid crystal modulator. The commonly used measurement methods are based on determining the phase difference after transmission, and scarcely any method based on reflection is utilized. We propose an improved method of measuring the refractive index curve mode of anisotropy crystals during rotation, based on which we are able to determine the refractive indices and optical axis directions of the crystal according to a retrieval method. The measurement method involves precisely rotating and scanning the index ellipsoid and extracts two refractive indices from images captured at every rotation angle. The retrieval method processes two sets of data in a group and gives the fitted parameters, including the refractive indices and the optical axis direction in space. Simulation results are given, and two types of crystal, quartz and selenite, exemplifying uniaxial crystal and biaxial crystal, are experimented. The experiment results show that the fitted parameters are in good agreement with the theory. Compared with existing methods, our method has two main advantages. The sample does not need to be cut into a specific shape or prior information of the sample obtained, meanwhile the complete optical axis direction in space, including the intersection angle to the surface plane and the azimuth angle in the plan, can be determined, which benefits the evaluation and improvement of the material.",
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"normalizedAbstract": "Measurement of birefringence is crucial for the investigation of polarization optical components, including frequency-doubling crystal, electro-optic crystal, liquid crystal modulator. The commonly used measurement methods are based on determining the phase difference after transmission, and scarcely any method based on reflection is utilized. We propose an improved method of measuring the refractive index curve mode of anisotropy crystals during rotation, based on which we are able to determine the refractive indices and optical axis directions of the crystal according to a retrieval method. The measurement method involves precisely rotating and scanning the index ellipsoid and extracts two refractive indices from images captured at every rotation angle. The retrieval method processes two sets of data in a group and gives the fitted parameters, including the refractive indices and the optical axis direction in space. Simulation results are given, and two types of crystal, quartz and selenite, exemplifying uniaxial crystal and biaxial crystal, are experimented. The experiment results show that the fitted parameters are in good agreement with the theory. Compared with existing methods, our method has two main advantages. The sample does not need to be cut into a specific shape or prior information of the sample obtained, meanwhile the complete optical axis direction in space, including the intersection angle to the surface plane and the azimuth angle in the plan, can be determined, which benefits the evaluation and improvement of the material.",
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"authors": [
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"affiliation": "School of Optical and Electronic Information, Huazhong University of Science and Technology,Wuhan,Hubei,China",
"fullName": "Congyuan Guan",
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"affiliation": "School of Optical and Electronic Information, Huazhong University of Science and Technology,Wuhan,Hubei,China",
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{
"affiliation": "School of Optical and Electronic Information, Huazhong University of Science and Technology,Wuhan,Hubei,China",
"fullName": "Tanbin Shao",
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"affiliation": "School of Optical and Electronic Information, Huazhong University of Science and Technology,Wuhan,Hubei,China",
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"doi": "10.1109/ICME.2016.7552873",
"title": "Learning-based quality assessment of retargeted stereoscopic images",
"normalizedTitle": "Learning-based quality assessment of retargeted stereoscopic images",
"abstract": "Stereoscopic image retargeting techniques aim to flexibly display 3D images with different aspect ratios and simultaneously preserve salient regions and comfortable depth perception. Various stereoscopic image retargeting techniques have been proposed recently. However, there is still no effective objective metric for visual quality assessment of retargeted stereoscopic images. In this paper, we build a stereoscopic image retargeting database and propose a learning-based objective method to evaluate the stereoscopic image retargeting quality. The perception quality of the database are evaluated by subjects. We extract new features of quality assessment and fuse them to assess stereoscopic image retargeting quality using neural network. Experiments conducted with above-mentioned database confirm the effectiveness of the proposed method. The results show the good consistency between the objective assessments and subjective rankings.",
"abstracts": [
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"abstractType": "Regular",
"content": "Stereoscopic image retargeting techniques aim to flexibly display 3D images with different aspect ratios and simultaneously preserve salient regions and comfortable depth perception. Various stereoscopic image retargeting techniques have been proposed recently. However, there is still no effective objective metric for visual quality assessment of retargeted stereoscopic images. In this paper, we build a stereoscopic image retargeting database and propose a learning-based objective method to evaluate the stereoscopic image retargeting quality. The perception quality of the database are evaluated by subjects. We extract new features of quality assessment and fuse them to assess stereoscopic image retargeting quality using neural network. Experiments conducted with above-mentioned database confirm the effectiveness of the proposed method. The results show the good consistency between the objective assessments and subjective rankings.",
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"normalizedAbstract": "Stereoscopic image retargeting techniques aim to flexibly display 3D images with different aspect ratios and simultaneously preserve salient regions and comfortable depth perception. Various stereoscopic image retargeting techniques have been proposed recently. However, there is still no effective objective metric for visual quality assessment of retargeted stereoscopic images. In this paper, we build a stereoscopic image retargeting database and propose a learning-based objective method to evaluate the stereoscopic image retargeting quality. The perception quality of the database are evaluated by subjects. We extract new features of quality assessment and fuse them to assess stereoscopic image retargeting quality using neural network. Experiments conducted with above-mentioned database confirm the effectiveness of the proposed method. The results show the good consistency between the objective assessments and subjective rankings.",
"fno": "07552873",
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"Stereo Image Processing",
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"Stereoscopic Image Retargeting",
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"authors": [
{
"affiliation": "Department of Computer Science and Technology, Tsinghua University, Tsinghua NLIST. Beijing, China",
"fullName": "Yi Liu",
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"title": "On edge detection on surfaces",
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"abstract": "Edge detection in images has been a fundamental problem in computer vision from its early days. Edge detection on surfaces, on the other hand, has received much less attention. The most common edges on surfaces are ridges and valleys, used for processing range images in computer vision, as well as for non-photo realistic rendering in computer graphics. We propose a new type of edges on surfaces, termed relief edges. Intuitively, the surface can be considered as an unknown smooth manifold, on top of which a local height image is placed. Relief edges are the edges of this local image. We show how to compute these edges from the local differential geometric surface properties, by fitting a local edge model to the surface. We also show how the underlying manifold and the local images can be roughly approximated and exploited in the edge detection process. Last but not least, we demonstrate the application of relief edges to artifact illustration in archaeology.",
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"content": "Edge detection in images has been a fundamental problem in computer vision from its early days. Edge detection on surfaces, on the other hand, has received much less attention. The most common edges on surfaces are ridges and valleys, used for processing range images in computer vision, as well as for non-photo realistic rendering in computer graphics. We propose a new type of edges on surfaces, termed relief edges. Intuitively, the surface can be considered as an unknown smooth manifold, on top of which a local height image is placed. Relief edges are the edges of this local image. We show how to compute these edges from the local differential geometric surface properties, by fitting a local edge model to the surface. We also show how the underlying manifold and the local images can be roughly approximated and exploited in the edge detection process. Last but not least, we demonstrate the application of relief edges to artifact illustration in archaeology.",
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"doi": "10.1109/SFCS.2002.1181986",
"title": "Optimal System of Loops on an Orientable Surface",
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"abstract": "Every compact orientable boundaryless surface M can be cut along simple loops with a common point v0, pairwise disjoint except at v0, so that the resulting surface is a topological disk; such a set of loops is called a fundamental system of loops for M . The resulting disk is a polygon in which the edges are pairwise identified on the surface; it is called a polygonal schema. Assuming that M is triangulated, and that each edge has a given length, we are interested in a shortest (or optimal) system homotopic to a given one, drawn on the vertex-edge graph of M. We prove that each loop of such an optimal system is a shortest loop among all simple loops in its homotopy class. We give a polynomial (under some reasonable assumptions) algorithm to build such a system. As a byproduct, we get a polynomial algorithm to compute a shortest simple loop homotopic to a given simple loop.",
"abstracts": [
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"content": "Every compact orientable boundaryless surface M can be cut along simple loops with a common point v0, pairwise disjoint except at v0, so that the resulting surface is a topological disk; such a set of loops is called a fundamental system of loops for M . The resulting disk is a polygon in which the edges are pairwise identified on the surface; it is called a polygonal schema. Assuming that M is triangulated, and that each edge has a given length, we are interested in a shortest (or optimal) system homotopic to a given one, drawn on the vertex-edge graph of M. We prove that each loop of such an optimal system is a shortest loop among all simple loops in its homotopy class. We give a polynomial (under some reasonable assumptions) algorithm to build such a system. As a byproduct, we get a polynomial algorithm to compute a shortest simple loop homotopic to a given simple loop.",
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"fno": "18220627",
"keywords": [],
"authors": [
{
"affiliation": "Laboratoire d?informatique de l??cole Normale Sup?rieure",
"fullName": "Éric Colin de Verdière",
"givenName": "Éric Colin",
"surname": "de Verdière",
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{
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"fullName": "Francis Lazarus",
"givenName": "Francis",
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