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"abstract": "Crowdsourcing is an emerging distributed computing model that is widely used. Aiming at the uneven quality of crowdsourcing answers due to different workers' capabilities and attitudes, it is necessary to effectively study the hotspot issue of crowdsourcing answer integration. A crowdsourced answer integration algorithm based on “filter-evaluate-vote” is proposed. This algorithm is implemented using MapReduce parallel programming model in the Hadoop platform, and experiments are performed on multiple data sets. The results show that the proposed algorithm can be effective. It improves the accuracy of crowdsourced answers, and has high computing performance and horizontal scalability, which is suitable for answer integration in a big data environment.",
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"abstract": "In this paper, a method is presented to simulate the performance of an industrial robot manipulator in a foundry workcell. The robot under consideration is IRB 6640 180–2.55 from ABB used for handling heavy cores in ElectroSteel Castings Ltd., Kolkata. The proposed method considers the time-optimal control of robot motion to simulate the actual behavior of the robot. A model-based control technique is applied to control the robot's end-effector motion. Genetic Algorithm (GA) is implemented to optimize the gains in the proposed control method. Points used for defining the required path are taken from the actual program running in the workcell. Parameters needed to construct robot kinematic and dynamic models and constraints on robot motion are extracted from robot manuals and simulations on the same robot in ABB RobotStudio® environment. Modeling, simulation, optimization, and control are done in MATLAB®/SIMULINK®.",
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"content": "In this paper, a method is presented to simulate the performance of an industrial robot manipulator in a foundry workcell. The robot under consideration is IRB 6640 180–2.55 from ABB used for handling heavy cores in ElectroSteel Castings Ltd., Kolkata. The proposed method considers the time-optimal control of robot motion to simulate the actual behavior of the robot. A model-based control technique is applied to control the robot's end-effector motion. Genetic Algorithm (GA) is implemented to optimize the gains in the proposed control method. Points used for defining the required path are taken from the actual program running in the workcell. Parameters needed to construct robot kinematic and dynamic models and constraints on robot motion are extracted from robot manuals and simulations on the same robot in ABB RobotStudio® environment. Modeling, simulation, optimization, and control are done in MATLAB®/SIMULINK®.",
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"title": "2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)",
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"title": "Quad-Rotor UAV Control Method Based on PID Control Law",
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"abstract": "This paper studies on the dynamics model and control method of quad-rotor UAV for research. Firstly analyzes the dynamic characteristic of quad-rotor UAV and establishes the nonlinear dynamics model of quad-rotor UAV; and then applies the PID control to three channels of pitch, roll and yaw based on the established model, and the simulation results show that PID control is effective for the quad-rotor UAV control with the ideal conditions. Finally analyzes the results of PID control under the circumstance that the data form feedback channel is polluted by noise, which lay the foundation for the improvement of the PID control law.",
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"content": "This paper studies on the dynamics model and control method of quad-rotor UAV for research. Firstly analyzes the dynamic characteristic of quad-rotor UAV and establishes the nonlinear dynamics model of quad-rotor UAV; and then applies the PID control to three channels of pitch, roll and yaw based on the established model, and the simulation results show that PID control is effective for the quad-rotor UAV control with the ideal conditions. Finally analyzes the results of PID control under the circumstance that the data form feedback channel is polluted by noise, which lay the foundation for the improvement of the PID control law.",
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"fno": "3981a418",
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"fullName": "Yang Sen",
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"abstract": "In many application domains such as information retrieval, computational biology, and image processing the data dimension is usually very high. Developing effective clustering methods for high dimensional dataset is a challenging problem due to the curse of dimensionality. The k-means clustering algorithm is used for many practical applications. But it is computationally expensive and the quality of the resulting clusters heavily depends on the selection of initial centroid and dimension of the data. The accuracy of the resultant value perhaps not up to the level of expectation when the dimensions of the dataset is high because we cannot say that the dataset chosen are free from noisy and flawless. So it is required to reduce the dimensionality of the given dataset in order to improve the efficiency and accuracy. This paper proposed a new approach to improve the accuracy of the cluster results by using PCA to determine the initial centroid and also to reduce the dimension of the data.",
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"abstract": "Big Data has attracted extensive attention from industry, academia and governments around the world, employing various approaches from many fields such as machine learning, pattern recognition and data visualization. Data visualization is quite useful in the perception of relevant information by a human for gaining understanding and insight from data with high dimensionality. This paper presents a novel approach for dimensionality reduction called Polygonal Coordinate System (PCS), which is able to represent multi-dimensional data into a two-dimensional data. For this purpose, data are represented across a regular polygon or interface between the high dimensions and the 2D plane. PCS can deal with massive data sets by adopting an incremental and efficient dimensionality reduction. Statistical comparison using Spearman's rho correlation highlights the utility of PCS, outperforming the state-of-the-art t-Distributed Stochastic Neighbor Embedding (t-SNE) technique.",
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"abstract": "Magazine Style Narrative Visualizations (MSNV) can be challenging due to the need to integrate textual and visual information. This problem has prompted researchers to design dynamic guidance meant to ease the mapping of the information provided in the two modalities. We contribute to this line of work by evaluating gaze-driven adaptive guidance that dynamically links relevant sentences in the text to the corresponding datapoints in the visualizations (see Fig. 1). We conducted a user study that involved participants reading a series of MSNVs extracted from real-world sources. Results show that the adaptive links significantly improve the comprehension of the MSNVs as compared to receiving no guidance. This improvement comes at no expense of user reading time, and is consistent regardless of the MSNV complexity.",
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"title": "Fuzzy Logic Application to Link National Culture and Cybersecurity Maturity",
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"abstract": "National culture and cybersecurity maturity (CM) both play defining roles in the identity and security of a nation. This study examines the relationship that these two constructs play in determining whether certain cultural dimensions of a nation leads to riskier cybersecurity behaviours. Based on the confirmed affirmation of the relationship between national culture and CM, we develop a research model based on fuzzy logic to predict the level of influence that national culture has on a country's Cybersecurity Maturity Level (CML). The fuzzy model was generated based on three semantic steps: (1) conducting statistical correlation analyses based on datasets related to 65 countries; (2) synthesizing a fuzzy model based on the derived knowledge; and (3) evaluating the fuzzy model based on public domain CM data across three case study countries. Our statistical analyses reveal a strong correlation between the cultural dimensions of Power Distance (PDI), Long Term Orientation (LTO), and Individualism (IDV) with login strength, implicating that these dimensions also strongly impact CM. Consequently, the proposed fuzzy model takes PDI, LTO, and IDV as the inputs to derive a quantitative value to the Global Cybersecurity Index related to a particular country. Hence, the novelty of this research lies in its interdisciplinary approach of creating and validating a model that can be used to determine the influence that national culture has on CML. Furthermore, this study suggests that national culture must be factored in when determining cybersecurity policy and frameworks which govern individuals within a nation's CM development.",
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"content": "National culture and cybersecurity maturity (CM) both play defining roles in the identity and security of a nation. This study examines the relationship that these two constructs play in determining whether certain cultural dimensions of a nation leads to riskier cybersecurity behaviours. Based on the confirmed affirmation of the relationship between national culture and CM, we develop a research model based on fuzzy logic to predict the level of influence that national culture has on a country's Cybersecurity Maturity Level (CML). The fuzzy model was generated based on three semantic steps: (1) conducting statistical correlation analyses based on datasets related to 65 countries; (2) synthesizing a fuzzy model based on the derived knowledge; and (3) evaluating the fuzzy model based on public domain CM data across three case study countries. Our statistical analyses reveal a strong correlation between the cultural dimensions of Power Distance (PDI), Long Term Orientation (LTO), and Individualism (IDV) with login strength, implicating that these dimensions also strongly impact CM. Consequently, the proposed fuzzy model takes PDI, LTO, and IDV as the inputs to derive a quantitative value to the Global Cybersecurity Index related to a particular country. Hence, the novelty of this research lies in its interdisciplinary approach of creating and validating a model that can be used to determine the influence that national culture has on CML. Furthermore, this study suggests that national culture must be factored in when determining cybersecurity policy and frameworks which govern individuals within a nation's CM development.",
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"normalizedAbstract": "National culture and cybersecurity maturity (CM) both play defining roles in the identity and security of a nation. This study examines the relationship that these two constructs play in determining whether certain cultural dimensions of a nation leads to riskier cybersecurity behaviours. Based on the confirmed affirmation of the relationship between national culture and CM, we develop a research model based on fuzzy logic to predict the level of influence that national culture has on a country's Cybersecurity Maturity Level (CML). The fuzzy model was generated based on three semantic steps: (1) conducting statistical correlation analyses based on datasets related to 65 countries; (2) synthesizing a fuzzy model based on the derived knowledge; and (3) evaluating the fuzzy model based on public domain CM data across three case study countries. Our statistical analyses reveal a strong correlation between the cultural dimensions of Power Distance (PDI), Long Term Orientation (LTO), and Individualism (IDV) with login strength, implicating that these dimensions also strongly impact CM. Consequently, the proposed fuzzy model takes PDI, LTO, and IDV as the inputs to derive a quantitative value to the Global Cybersecurity Index related to a particular country. Hence, the novelty of this research lies in its interdisciplinary approach of creating and validating a model that can be used to determine the influence that national culture has on CML. Furthermore, this study suggests that national culture must be factored in when determining cybersecurity policy and frameworks which govern individuals within a nation's CM development.",
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"Cybersecurity Behaviours",
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"Power Distance",
"Long Term Orientation",
"Cultural Differences",
"Password",
"Data Models",
"Correlation",
"Education",
"Indexes",
"Cybersecurity Maturity Fuzzy Logic Global Cybersecurity Index Hofstede National Culture"
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"affiliation": "Monash University",
"fullName": "Jongkil Jay Jeong",
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"affiliation": "CSIRO's Data61",
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"affiliation": "Monash University",
"fullName": "Carsten Rudolph",
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"proceeding": {
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"title": "2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA)",
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"title": "Event-Driven Gait Recognition Method Based on Dynamic Temporal Segmentation",
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"abstract": "Recognizing human gait with Body Sensor Networks (BSNs) is a significant research in pervasive computing. A real-time gait recognition method driven by leg movements is proposed which uses gyroscopes as main sensors for collecting angular velocities of legs and waist. According to the fluctuation of legs' angular velocities, sensor data can be segmented into gait cycles. And then from the segmented data in each cycle, a serial of features are extracted which will be given to a classification model for gait recognition. By experimenting four commonly used machine learning algorithms, the best classifier for gait recognition is determined as the final classification model. Experimental results show that our proposed method can recognize 12 kinds of gaits effectively. Compare to other methods, it has the characteristics of more recognizable actions, higher accuracy, better real-time performance and less calculation.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Recognizing human gait with Body Sensor Networks (BSNs) is a significant research in pervasive computing. A real-time gait recognition method driven by leg movements is proposed which uses gyroscopes as main sensors for collecting angular velocities of legs and waist. According to the fluctuation of legs' angular velocities, sensor data can be segmented into gait cycles. And then from the segmented data in each cycle, a serial of features are extracted which will be given to a classification model for gait recognition. By experimenting four commonly used machine learning algorithms, the best classifier for gait recognition is determined as the final classification model. Experimental results show that our proposed method can recognize 12 kinds of gaits effectively. Compare to other methods, it has the characteristics of more recognizable actions, higher accuracy, better real-time performance and less calculation.",
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"normalizedAbstract": "Recognizing human gait with Body Sensor Networks (BSNs) is a significant research in pervasive computing. A real-time gait recognition method driven by leg movements is proposed which uses gyroscopes as main sensors for collecting angular velocities of legs and waist. According to the fluctuation of legs' angular velocities, sensor data can be segmented into gait cycles. And then from the segmented data in each cycle, a serial of features are extracted which will be given to a classification model for gait recognition. By experimenting four commonly used machine learning algorithms, the best classifier for gait recognition is determined as the final classification model. Experimental results show that our proposed method can recognize 12 kinds of gaits effectively. Compare to other methods, it has the characteristics of more recognizable actions, higher accuracy, better real-time performance and less calculation.",
"fno": "8315a522",
"keywords": [
"Angular Velocity",
"Feature Extraction",
"Gait Recognition",
"Legged Locomotion",
"Wireless Sensor Networks",
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"Body Sensor Network",
"Gait Recognition",
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"Event Driven"
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"affiliation": null,
"fullName": "Xiaochen Lai",
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"fullName": "Chi Lin",
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"fullName": "Kangbin Yim",
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"proceeding": {
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"title": "Proceedings. 1991 IEEE International Conference on Robotics and Automation",
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"title": "Turning gait of a quadrupedal walking machine",
"normalizedTitle": "Turning gait of a quadrupedal walking machine",
"abstract": "The gaits used in turning motion of a quadruped are studied. Depending on the location of the turning center, turning gaits, are divided into two types: spinning gait and circling gait. The former is applied when the turning center is at or close to the gravity center, whereas the latter is suitable for a more distant turning center. The spinning gait is developed on the basis of the z-type creeping gait and is optimized for stability. The optimization procedure issues in two special gaits-the wave-spinning gait and the equal-phase-spinning gait. The circling gaits are developed based on the wave-crab gaits and the gaits are called wave-circling gaits. The stability margin curve of a wave-circling gait is found to be similar to a wave-crab gait when the turning radius is large. In order to assist the selection of a turning gait, the stable areas of turning center of both spinning and circling gaits are generated by numerical method.<>",
"abstracts": [
{
"abstractType": "Regular",
"content": "The gaits used in turning motion of a quadruped are studied. Depending on the location of the turning center, turning gaits, are divided into two types: spinning gait and circling gait. The former is applied when the turning center is at or close to the gravity center, whereas the latter is suitable for a more distant turning center. The spinning gait is developed on the basis of the z-type creeping gait and is optimized for stability. The optimization procedure issues in two special gaits-the wave-spinning gait and the equal-phase-spinning gait. The circling gaits are developed based on the wave-crab gaits and the gaits are called wave-circling gaits. The stability margin curve of a wave-circling gait is found to be similar to a wave-crab gait when the turning radius is large. In order to assist the selection of a turning gait, the stable areas of turning center of both spinning and circling gaits are generated by numerical method.<>",
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"normalizedAbstract": "The gaits used in turning motion of a quadruped are studied. Depending on the location of the turning center, turning gaits, are divided into two types: spinning gait and circling gait. The former is applied when the turning center is at or close to the gravity center, whereas the latter is suitable for a more distant turning center. The spinning gait is developed on the basis of the z-type creeping gait and is optimized for stability. The optimization procedure issues in two special gaits-the wave-spinning gait and the equal-phase-spinning gait. The circling gaits are developed based on the wave-crab gaits and the gaits are called wave-circling gaits. The stability margin curve of a wave-circling gait is found to be similar to a wave-crab gait when the turning radius is large. In order to assist the selection of a turning gait, the stable areas of turning center of both spinning and circling gaits are generated by numerical method.",
"fno": "00131938",
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"abstract": "Humans take advantage of real world symmetries for various tasks, yet capturing their superb symmetry perception mechanism with a computational model remains elusive. Motivated by a new study demonstrating the extremely high inter-person accuracy of human perceived symmetries in the wild, we have constructed the first deep-learning neural network for reflection and rotation symmetry detection (Sym-NET), trained onphotos from MS-COCO (Microsoft-Common Object in COntext) dataset with nearly 11K consistent symmetry-labels from more than 400 human observers. We employ novel methods to convert discrete human labels into symmetry heatmaps, capture symmetry densely in an image and quantitatively evaluate Sym-NET against multiple existing computer vision algorithms. On CVPR 2013 symmetry competition testsets and unseen MS-COCO photos, Sym-NET significantly outperforms all other competitors. Beyond mathematically well-defined symmetries on a plane, Sym-NET demonstrates abilities to identify viewpoint-varied 3D symmetries, partially occluded symmetrical objects, and symmetries at a semantic level.",
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"abstract": "Motivated by various new applications of computational symmetry in computer vision and in an effort to advance machine perception of symmetry in the wild, we organize the third international symmetry detection challenge at ICCV 2017, after the CVPR 2011/2013 symmetry detection competitions. Our goal is to gauge the progress in computational symmetry with continuous benchmarking of both new algorithms and datasets, as well as more polished validation methodology. Different from previous years, this time we expand our training/testing data sets to include 3D data, and establish the most comprehensive and largest annotated datasets for symmetry detection to date; we also expand the types of symmetries to include densely-distributed and medial-axis-like symmetries; furthermore, we establish a challenge-and-paper dual track mechanism where both algorithms and articles on symmetry-related research are solicited. In this report, we provide a detailed summary of our evaluation methodology for each type of symmetry detection algorithm validated. We demonstrate and analyze quantified detection results in terms of precision-recall curves and F-measures for all algorithms evaluated. We also offer a short survey of the paper-track submissions accepted for our 2017 symmetry challenge.",
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"abstract": "Light fields have many applications in machine vision, consumer photography, robotics, and microscopy. However, the prevalent resolution limits of existing light field imaging systems hinder widespread adoption. In this paper, we analyze fundamental resolution limits of light field cameras in the diffraction limit. We propose a sequential, coded-aperture-style acquisition scheme that optimizes the resolution of a light field reconstructed from multiple photographs captured from different perspectives and fnumber settings. We also show that the proposed acquisition scheme facilitates high dynamic range light field imaging and demonstrate a proof-of-concept prototype system. With this work, we hope to advance our understanding of the resolution limits of light field photography and develop practical computational imaging systems to overcome them.",
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"abstract": "The ability to render synthetic depth-of-field effects post capture is a flagship application of light field imaging. However, it is known that many existing light field refocusing methods suffer from severe artefacts when applied to sparse light fields, known as angular aliasing. We propose in this paper a method for high quality sparse light field refocusing based on insights from depth-based bokeh rendering techniques. We first provide an in-depth analysis of the geometry of the defocus blur in light field refocusing by analogy with the defocus geometry in a traditional camera using the thin lens model. Based on this analysis, we propose a filter for removing angular aliasing artefacts in light field refocusing, which consists in modifying the well known shift-and-sum algorithm to apply a depth-dependent blur to the light field in between the shift and the sum operations. We show that our method can achieve significant quality improvements compared to existing approaches for a reasonable computational cost.",
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"abstract": "The coordinate transformation between national system and local independent coordinate system is an important problem in geodesy and geomatics work. The similar transformation method and polynomial approximation method in coordinate transformation were discussed in this paper, the results indicated that the precision of polynomial approximation method was better than similar transformation method in big city.",
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"content": "The coordinate transformation between national system and local independent coordinate system is an important problem in geodesy and geomatics work. The similar transformation method and polynomial approximation method in coordinate transformation were discussed in this paper, the results indicated that the precision of polynomial approximation method was better than similar transformation method in big city.",
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"fullName": "Lei Weiwei",
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"fullName": "Xu Keke",
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"fullName": "Zheng Hongxiao",
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"title": "2013 Conference on Networked Systems (NetSys)",
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"title": "Bounds for the Security of the Vivaldi Network Coordinate System",
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"abstract": "Network coordinate systems have gained much attention as they allow for an elegant estimation of distances between nodes in distributed systems. Their most prominent representative is Vivaldi, which is using a mass-spring-damper system to embed peers into a two-dimensional Euclidean coordinate space with an additional height coordinate. In unimpaired overlay networks this simple method leads to a good approximation of pair wise delays. Unfortunately, like most distributed algorithms, Vivaldi is vulnerable to Byzantine failures, leading to possible routing attacks in peer-to-peer systems. Hence, several attack methods and countermeasures have been proposed. In this article, we analyze bounds for protection of Vivaldi network coordinates and show by theory and simulation how triangle inequality violations can be exploited to create instabilities, despite the proposed countermeasures.",
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{
"abstractType": "Regular",
"content": "Network coordinate systems have gained much attention as they allow for an elegant estimation of distances between nodes in distributed systems. Their most prominent representative is Vivaldi, which is using a mass-spring-damper system to embed peers into a two-dimensional Euclidean coordinate space with an additional height coordinate. In unimpaired overlay networks this simple method leads to a good approximation of pair wise delays. Unfortunately, like most distributed algorithms, Vivaldi is vulnerable to Byzantine failures, leading to possible routing attacks in peer-to-peer systems. Hence, several attack methods and countermeasures have been proposed. In this article, we analyze bounds for protection of Vivaldi network coordinates and show by theory and simulation how triangle inequality violations can be exploited to create instabilities, despite the proposed countermeasures.",
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"normalizedAbstract": "Network coordinate systems have gained much attention as they allow for an elegant estimation of distances between nodes in distributed systems. Their most prominent representative is Vivaldi, which is using a mass-spring-damper system to embed peers into a two-dimensional Euclidean coordinate space with an additional height coordinate. In unimpaired overlay networks this simple method leads to a good approximation of pair wise delays. Unfortunately, like most distributed algorithms, Vivaldi is vulnerable to Byzantine failures, leading to possible routing attacks in peer-to-peer systems. Hence, several attack methods and countermeasures have been proposed. In this article, we analyze bounds for protection of Vivaldi network coordinates and show by theory and simulation how triangle inequality violations can be exploited to create instabilities, despite the proposed countermeasures.",
"fno": "06529238",
"keywords": [
"Delays",
"Peer To Peer Computing",
"Brushes",
"Coordinate Measuring Machines",
"Security",
"Routing Protocols",
"Topology",
"Vivaldi",
"Peer To Peer",
"Overlay Networks",
"Routing Protocols",
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"authors": [
{
"affiliation": null,
"fullName": "F. Girlich",
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"surname": "Girlich",
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{
"affiliation": null,
"fullName": "M. Rossberg",
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"fullName": "G. Schaefer",
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"fullName": "T. Boehme",
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"proceeding": {
"id": "12OmNqBtj7W",
"title": "2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)",
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"article": {
"id": "12OmNweTvLt",
"doi": "10.1109/DCOSS.2016.21",
"title": "Greedy Routing on Virtual Raw Anchor Coordinate (VRAC) System",
"normalizedTitle": "Greedy Routing on Virtual Raw Anchor Coordinate (VRAC) System",
"abstract": "Geographic routing is an appealing routing strategythat uses the location information of the nodes to route the data. This technique uses only local information of the communicationgraph topology and does not require computational effort tobuild routing table or equivalent data structures. A particularlyefficient implementation of this paradigm is greedy routing, where along the data path the nodes forward the data to aneighboring node that is closer to the destination. The decreasingdistance to the destination implies the success of the routingscheme. A related problem is to consider an abstract graphand decide whether there exists an embedding of the graph ina metric space, called a greedy embedding, such that greedyrouting guarantees the delivery of the data. A common approachto assign geographic coordinates is to measure distances (forinstance the distances between neighboring nodes) and compute(virtual) coordinates. The rationale of the Virtual raw Anchor Coordinate System(VRAC) is to use the (raw) measured distances as coordinates inorder to avoid further computations. More precisely, each nodeneeds to measure three distances. In this paper, we investigatethe existence of greedy routing in the VRAC coordinate systemusing a metric free characterization of greedy paths that is moregeneral than in previous works. We show that if the graph issaturated (see definition in the text) then the greedy algorithmguarantees delivery. Interestingly, the approach of greedinesshere applies to Schnyder drawings of planar triangulations. Indeed, by choosing the measured distances appropriately Schnyderdrawings of planar triangulations are always saturated and henceour greedy routing algorithm succeeds. The VRAC coordinates have conditions to satisfy to makegreedy routing successful. These conditions can be inferred fromgeometric considerations. However, we formulate these conditionsin an abstract way in order to avoid geometric considerationsand in order to make possible further derivation of virtualVRAC coordinate systems, i.e. using only the abstract graphdescription. In particular using only local information would leadto distributed algorithm.",
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"abstract": "A hierarchical planning system is presented which uses heuristics for path planning in dimensional inspection using coordinate measuring machines (CMMs). The objective is to automate the planning of a collision-free inspection path. The system demonstrates that the inspection paths of geometrically complex real world parts with multiple features can automatically be generated with efficiency. This is made possible by appropriate CMM abstractions, genuine 3-D collision detection, and heuristic modifications of reasonably assumed default inspection paths. Automatic selection and modification of probe angle based on a local accessibility analysis of a given feature are also presented. The collision-free inspection path can then be simulated in a CAD environment before it is carried out by the real CMM.<>",
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"Factory Automation",
"Inspection",
"Planning Artificial Intelligence",
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"Hierarchical Path Planning",
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"Automated Dimensional Inspection",
"Coordinate Measuring Machines",
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"Robot Kinematics",
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"Shape Measurement",
"Pulp Manufacturing",
"Mechanical Engineering"
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"doi": "10.1109/ICMTMA.2009.496",
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"abstract": "Errors of structural parameters are the most important factors causing uncertainty of articulated arm coordinate measuring machines (AACMMs). Therefore these parameters must be identified to insure the accuracy of AACMMs. The kinematic model of six degree of freedom (6-DOF) AACMMs was established, and the structural parameters influencing the accuracy of AACMMs were achieved through analysis. A method to acquire data for identification with a cone-shape hole was presented. With single-point repeatability as the objective function, a modified simulated annealing algorithm (MSAA) was presented to identify structural parameters. A 6-DOF AACMM was used to carry out experimental tests in order to evaluate the efficiency of the MSAA, showing that after identification the repeatability and length measuring accuracy are improved greatly.",
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"content": "Errors of structural parameters are the most important factors causing uncertainty of articulated arm coordinate measuring machines (AACMMs). Therefore these parameters must be identified to insure the accuracy of AACMMs. The kinematic model of six degree of freedom (6-DOF) AACMMs was established, and the structural parameters influencing the accuracy of AACMMs were achieved through analysis. A method to acquire data for identification with a cone-shape hole was presented. With single-point repeatability as the objective function, a modified simulated annealing algorithm (MSAA) was presented to identify structural parameters. A 6-DOF AACMM was used to carry out experimental tests in order to evaluate the efficiency of the MSAA, showing that after identification the repeatability and length measuring accuracy are improved greatly.",
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"fno": "3583b128",
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"fullName": "Keng Lin",
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"abstract": "Reconstruction of 3D scenes using data from an acoustic imaging sonar is addressed. The acoustic lens is described, and issues concerning underwater 3D scene reconstruction from the lens data are examined. Two methods for visualizing objects in an acoustic snapshot of the ocean are discussed: mathematical morphology and a synthesis of 3D digital imaging with volume rendering.<>",
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"title": "Underwater acoustic field extrapolation using vertical reference arrays",
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"abstract": "Conventional methods for predicting acoustic propagation through a region of ocean require detailed knowledge of the environment. A method that acoustically \"calibrates\" the medium through the use of vertical transmit and receive arrays is discussed. By combining (via a generalized form of Huygens' principle) the measured calibration data with field estimates based on limited local environmental knowledge, the acoustic field due to a source outside the calibration region can be calculated. The mathematical formulation for this \"extrapolated\" field is discussed. The effects of mismatch between the estimated local environmental information and the true propagation conditions are also examined.<>",
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"content": "Conventional methods for predicting acoustic propagation through a region of ocean require detailed knowledge of the environment. A method that acoustically \"calibrates\" the medium through the use of vertical transmit and receive arrays is discussed. By combining (via a generalized form of Huygens' principle) the measured calibration data with field estimates based on limited local environmental knowledge, the acoustic field due to a source outside the calibration region can be calculated. The mathematical formulation for this \"extrapolated\" field is discussed. The effects of mismatch between the estimated local environmental information and the true propagation conditions are also examined.<>",
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"abstract": "To measure acoustic frequency, intensity and sensitivity in water tank on the basics of fish movement is a challenging task, for this purpose an autarchic monitoring system is designed. Overall system consists of: acoustic sensor, analog device (spectrometer), software for real time monitoring of acoustic signals under the different measurements. Acoustic frequency (Hz), sensitivity (dB) and pulse response were observed by immersing the sensor in water tank. We verified the tested signals in two ways: 1) by comparing the acoustic signal frequency (Hz), Sensitivity (dB) and Pulse, in absence and presence of fish. 2) Statistical comparison of frequency sensitivity and pulse in a certain time. In this study, frequency (Hz) signal response found to be most significant by immersing the acoustic sensor at different places in absence and presence of fish respectively. This study demonstrated that acoustic frequency measurement is a simple and valuable tool for intense aquaculture environment.",
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"content": "To measure acoustic frequency, intensity and sensitivity in water tank on the basics of fish movement is a challenging task, for this purpose an autarchic monitoring system is designed. Overall system consists of: acoustic sensor, analog device (spectrometer), software for real time monitoring of acoustic signals under the different measurements. Acoustic frequency (Hz), sensitivity (dB) and pulse response were observed by immersing the sensor in water tank. We verified the tested signals in two ways: 1) by comparing the acoustic signal frequency (Hz), Sensitivity (dB) and Pulse, in absence and presence of fish. 2) Statistical comparison of frequency sensitivity and pulse in a certain time. In this study, frequency (Hz) signal response found to be most significant by immersing the acoustic sensor at different places in absence and presence of fish respectively. This study demonstrated that acoustic frequency measurement is a simple and valuable tool for intense aquaculture environment.",
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"abstract": "Recent progresses in Virtual Reality (VR) and Augmented Reality (AR) allow us to experience various VR/AR applications in our daily life. In order to maximise the immersiveness of user in VR/AR environments, a plausible spatial audio reproduction synchronised with visual information is essential. In this paper, we propose a simple and efficient system to estimate room acoustic for plausible reproducton of spatial audio using 360° cameras for VR/AR applications. A pair of 360° images is used for room geometry and acoustic property estimation. A simplified 3D geometric model of the scene is estimated by depth estimation from captured images and semantic labelling using a convolutional neural network (CNN). The real environment acoustics are characterised by frequency-dependent acoustic predictions of the scene. Spatially synchronised audio is reproduced based on the estimated geometric and acoustic properties in the scene. The reconstructed scenes are rendered with synthesised spatial audio as VR/AR content. The results of estimated room geometry and simulated spatial audio are evaluated against the actual measurements and audio calculated from ground-truth Room Impulse Responses (RIRs) recorded in the rooms.",
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"content": "Recent progresses in Virtual Reality (VR) and Augmented Reality (AR) allow us to experience various VR/AR applications in our daily life. In order to maximise the immersiveness of user in VR/AR environments, a plausible spatial audio reproduction synchronised with visual information is essential. In this paper, we propose a simple and efficient system to estimate room acoustic for plausible reproducton of spatial audio using 360° cameras for VR/AR applications. A pair of 360° images is used for room geometry and acoustic property estimation. A simplified 3D geometric model of the scene is estimated by depth estimation from captured images and semantic labelling using a convolutional neural network (CNN). The real environment acoustics are characterised by frequency-dependent acoustic predictions of the scene. Spatially synchronised audio is reproduced based on the estimated geometric and acoustic properties in the scene. The reconstructed scenes are rendered with synthesised spatial audio as VR/AR content. The results of estimated room geometry and simulated spatial audio are evaluated against the actual measurements and audio calculated from ground-truth Room Impulse Responses (RIRs) recorded in the rooms.",
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"affiliation": "CVSSP, University of Surrey Guildford, UK",
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"abstract": "The planned thesis work involves adopting computer vision techniques in the process of decomposing complex scenes to recognise acoustic characteristics of space, determining physical and structural features of complex scenes. The experiments presented demonstrate applications of scene understanding techniques to game scenes and virtual reconstructions of real space to determine acoustic properties of scene geometry for automating realistic sound rendering, identifying the current state of automatic acoustic material recognition for virtual environments and proposing a novel evaluation framework to test objective and subjective accuracy against measurements from real environments. Proof-of-concept systems have been tested on state-of-the-art acoustic renderers to demonstrate their efficiency in offline procedures. Current directions are aimed at designing end-to-end pipelines for interactive, real-time applications, with the ambition of adopting computer vision to understand the acoustic space, even in contexts of dynamic geometry typical of Augmented Reality platforms, where the acoustic space is constantly updating based on the surrounding, real world.",
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"title": "2010 International Conference on Multimedia Communications (Mediacom 2010)",
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"abstract": "The realistic rendering of smoke scene is one of the most challenging tasks in computer graphics. Smoke simulation based on particle system is studied in this paper. In the real-time animation simulation of smoke model, we consider the impact of the wind on smoke particles. Different dense smokes are simulated by controlling the amounts of smoke particle. The realistic rendering of smoke scene is implemented by combining with texture mapping technology. Related methods about smoke simulation are designed. Experiment results show that proposed method is feasible and effective. The model is simple and can meet real-time requirements. It can be easily integrated into virtual scene.",
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"content": "The realistic rendering of smoke scene is one of the most challenging tasks in computer graphics. Smoke simulation based on particle system is studied in this paper. In the real-time animation simulation of smoke model, we consider the impact of the wind on smoke particles. Different dense smokes are simulated by controlling the amounts of smoke particle. The realistic rendering of smoke scene is implemented by combining with texture mapping technology. Related methods about smoke simulation are designed. Experiment results show that proposed method is feasible and effective. The model is simple and can meet real-time requirements. It can be easily integrated into virtual scene.",
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"normalizedAbstract": "The realistic rendering of smoke scene is one of the most challenging tasks in computer graphics. Smoke simulation based on particle system is studied in this paper. In the real-time animation simulation of smoke model, we consider the impact of the wind on smoke particles. Different dense smokes are simulated by controlling the amounts of smoke particle. The realistic rendering of smoke scene is implemented by combining with texture mapping technology. Related methods about smoke simulation are designed. Experiment results show that proposed method is feasible and effective. The model is simple and can meet real-time requirements. It can be easily integrated into virtual scene.",
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"Smoke",
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"title": "High Performance Computing and Grid in Asia Pacific Region, International Conference on",
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"doi": "10.1109/HPC.1997.592144",
"title": "Direct numerical simulation of jets in a cross turbulent boundary layer flow",
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"abstract": "A numerical study has been performed to investigate the interaction of jets in a cross turbulent boundary layer flow using the direct numerical simulation technique. The bulk mean velocity of the jet is a half of the free-stream velocity. Turbulent vortex shedding is observed behind jets and is believed due to three dimensional effects. The formation of a separation bubble in front of the injection hole and vortex interactions behind the hole are also observed.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A numerical study has been performed to investigate the interaction of jets in a cross turbulent boundary layer flow using the direct numerical simulation technique. The bulk mean velocity of the jet is a half of the free-stream velocity. Turbulent vortex shedding is observed behind jets and is believed due to three dimensional effects. The formation of a separation bubble in front of the injection hole and vortex interactions behind the hole are also observed.",
"__typename": "ArticleAbstractType"
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],
"normalizedAbstract": "A numerical study has been performed to investigate the interaction of jets in a cross turbulent boundary layer flow using the direct numerical simulation technique. The bulk mean velocity of the jet is a half of the free-stream velocity. Turbulent vortex shedding is observed behind jets and is believed due to three dimensional effects. The formation of a separation bubble in front of the injection hole and vortex interactions behind the hole are also observed.",
"fno": "79010186",
"keywords": [
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"affiliation": "Dept. of Mech. Eng., Seoul Nat. Univ., South Korea",
"fullName": "Seonghyeon Hahn",
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"affiliation": "Dept. of Mech. Eng., Seoul Nat. Univ., South Korea",
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