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"abstract": "The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process and its resulting model. For this reason, many methods of automatic feature selection have been developed. By using a modularization of feature selection process, this paper evaluates a wide spectrum of these methods. The methods considered are created by combination of different selection criteria and individual feature evaluation modules. These methods are commonly used because of their low running time. After carrying out a thorough empirical study the most interesting methods are identified and some recommendations about which feature selection method should be used under different conditions are provided.",
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"title": "2017 2nd International Conference on Multimedia and Image Processing (ICMIP)",
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"abstract": "In order to enhance the contrast between ridges and valleys of contactless fingerprint, a touchless fingerprint image enhancement algorithm based on Hessian matrix and short time Fourier transform (STFT) analysis is proposed. First, initial enhancement is done through building lower computational complexity Hessian matrix filter, on the basis of the feature that the ridges of contactless fingerprint are linear structure and relatively brighter. Then, the method of STFT analysis is used to enhance the contactless fingerprint image once more according to the texture characteristics of fingerprint, which also can effectively restrain the noise. Experimental results show that the proposed algorithm can not only significantly enhance the contrast of contactless fingerprint image, but also is faster.",
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"content": "In order to enhance the contrast between ridges and valleys of contactless fingerprint, a touchless fingerprint image enhancement algorithm based on Hessian matrix and short time Fourier transform (STFT) analysis is proposed. First, initial enhancement is done through building lower computational complexity Hessian matrix filter, on the basis of the feature that the ridges of contactless fingerprint are linear structure and relatively brighter. Then, the method of STFT analysis is used to enhance the contactless fingerprint image once more according to the texture characteristics of fingerprint, which also can effectively restrain the noise. Experimental results show that the proposed algorithm can not only significantly enhance the contrast of contactless fingerprint image, but also is faster.",
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"fullName": "Yonghe Tang",
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"fullName": "Liehui Jiang",
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"title": "Robust Crease Detection in Fingerprint Images",
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"abstract": "In this paper, we study a novel pattern in the fingerprint called crease, a kind of stripes irregularly crossing the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae by using conventional feature detection algorithm, and therefore decrease the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal filter as a detector. We employ a multi-channel filtering frame-work to detect creases in different orientations. In each channel, PCA is used to extract rectangles? parameters from the raw detected results. Our algorithm is demonstrated by experiments.",
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"content": "In this paper, we study a novel pattern in the fingerprint called crease, a kind of stripes irregularly crossing the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae by using conventional feature detection algorithm, and therefore decrease the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal filter as a detector. We employ a multi-channel filtering frame-work to detect creases in different orientations. In each channel, PCA is used to extract rectangles? parameters from the raw detected results. Our algorithm is demonstrated by experiments.",
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"affiliation": "Tsinghua University",
"fullName": "Chenyu Wu",
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"affiliation": "Tsinghua University",
"fullName": "Jie Zhou",
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"affiliation": "Tsinghua University",
"fullName": "Zhao-qi Bian",
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{
"affiliation": "Tsinghua University",
"fullName": "Gang Rong",
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"surname": "Rong",
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"abstract": "Depression is a mental disorder characterized by persistent occurrences of lower mood states in the affected person. According to the study of World Health Organization (WHO), depression will become the second largest cause of illness threatening the life of human beings in 2020, so early detection, early diagnosis and early treatment of depression is very important to save the health and life of human beings. In order to alleviate the damage caused by depression and make early detection, early diagnosis and early treatment of depression, a portable and accurate depression detection and diagnosis method is most necessary. Due to the highly complexity, nonlinearity and non-stationarity of electroencephalogram (EEG) data in nature, we present a novel method for pervasive EEG-based detection and diagnosis of depression with the resting state eye-closed EEG data of Fp1, Fpz and Fp2 locations of scalp electrodes, which are closely related to emotion, collected through three-electrode pervasive EEG collection device in this paper. Experiment has been conducted and totally 170 (81 depressive patients and 89 normal subjects) subjects' pervasive EEG data have been collected in resting state and eye-closed. Then, Support Vector Machine (SVM) is utilized to analyze the pervasive EEG data and the average accuracy reaches 83.07%. After Friedman Test and post-hoc two-tailed Nemenyi Test, we propose a splitting criterion for pervasive EEG. The data analysis experimental results show that the proposed method for detecting and diagnosing depression is effective and convenient, and it also demonstrate that the three-electrode pervasive EEG collection device has broad prospects in depression detection and diagnosis.",
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"content": "Depression is a mental disorder characterized by persistent occurrences of lower mood states in the affected person. According to the study of World Health Organization (WHO), depression will become the second largest cause of illness threatening the life of human beings in 2020, so early detection, early diagnosis and early treatment of depression is very important to save the health and life of human beings. In order to alleviate the damage caused by depression and make early detection, early diagnosis and early treatment of depression, a portable and accurate depression detection and diagnosis method is most necessary. Due to the highly complexity, nonlinearity and non-stationarity of electroencephalogram (EEG) data in nature, we present a novel method for pervasive EEG-based detection and diagnosis of depression with the resting state eye-closed EEG data of Fp1, Fpz and Fp2 locations of scalp electrodes, which are closely related to emotion, collected through three-electrode pervasive EEG collection device in this paper. Experiment has been conducted and totally 170 (81 depressive patients and 89 normal subjects) subjects' pervasive EEG data have been collected in resting state and eye-closed. Then, Support Vector Machine (SVM) is utilized to analyze the pervasive EEG data and the average accuracy reaches 83.07%. After Friedman Test and post-hoc two-tailed Nemenyi Test, we propose a splitting criterion for pervasive EEG. The data analysis experimental results show that the proposed method for detecting and diagnosing depression is effective and convenient, and it also demonstrate that the three-electrode pervasive EEG collection device has broad prospects in depression detection and diagnosis.",
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"abstract": "Electroencephalography (EEG) is an important bio-potential and has been widely applied in clinical applications. In particular, recent advances in EEG monitoring technologies pave the way for wearable, wireless, flexible EEG monitoring devices. However, current EEG systems require EEG electrodes with conductive gels (wet electrodes) to acquire EEG signal and then transmit these EEG signal to the back-end computer to perform. This also reduces the convenience of use in daily life and increases the limitation of EEG applications. In this study, a novel wearable device for ambulatory monitoring of EEG was proposed. Different from other EEG measurement device, it can provide an excellent performance of avoiding the signal attenuation, phase distortion, and the reduction of common mode rejection ratio. Even under walking motion, it can effectively acquire EEG in hairy site. From the experimental results, the proposed device can provide a good performance of measuring EEG in a hairy site and a good ability to avoid the influence of motion artifact.",
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"content": "Electroencephalography (EEG) is an important bio-potential and has been widely applied in clinical applications. In particular, recent advances in EEG monitoring technologies pave the way for wearable, wireless, flexible EEG monitoring devices. However, current EEG systems require EEG electrodes with conductive gels (wet electrodes) to acquire EEG signal and then transmit these EEG signal to the back-end computer to perform. This also reduces the convenience of use in daily life and increases the limitation of EEG applications. In this study, a novel wearable device for ambulatory monitoring of EEG was proposed. Different from other EEG measurement device, it can provide an excellent performance of avoiding the signal attenuation, phase distortion, and the reduction of common mode rejection ratio. Even under walking motion, it can effectively acquire EEG in hairy site. From the experimental results, the proposed device can provide a good performance of measuring EEG in a hairy site and a good ability to avoid the influence of motion artifact.",
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"abstract": "A recently developed tripolar concentric ring electrode enables accurate estimation of the local Laplacian of the electroencephalogram (EEG). Here, we tested the ability of this tripolar EEG (tEEG) system to detect the extent to which the alpha rhythm-an 8-13 Hz oscillation found in the EEG when the subject is at rest with the eyes closed-is modulated by opening the eyes, and compared it with simultaneous conventional EEG measurements. In a preliminary study comprising ten independent sessions on seven subjects, opening the eyes reduced alpha power by an average of 66.5 ± 9% and 59.1 ± 10% in tEEG and conventional EEG recordings, respectively. These findings suggest that the dynamical changes in brain rhythms may be more easily detected by tEEG than by conventional EEG with implications for clinical diagnosis and neurofeedback applications.",
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"content": "A recently developed tripolar concentric ring electrode enables accurate estimation of the local Laplacian of the electroencephalogram (EEG). Here, we tested the ability of this tripolar EEG (tEEG) system to detect the extent to which the alpha rhythm-an 8-13 Hz oscillation found in the EEG when the subject is at rest with the eyes closed-is modulated by opening the eyes, and compared it with simultaneous conventional EEG measurements. In a preliminary study comprising ten independent sessions on seven subjects, opening the eyes reduced alpha power by an average of 66.5 ± 9% and 59.1 ± 10% in tEEG and conventional EEG recordings, respectively. These findings suggest that the dynamical changes in brain rhythms may be more easily detected by tEEG than by conventional EEG with implications for clinical diagnosis and neurofeedback applications.",
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"abstract": "Ongoing research aims at finding clues that reveal the existence of Under Extremely Low Frequency (UELF) classical electromagnetic waves. Considering their extreme wavelengths, ranging from the actual size of Jupiter up to millions of light years, UELF waves cannot fit within Earth, so the search for them needs to look after much larger regions in space. If UELF waves could interact with cosmic structures (like a galaxy or a planetary system), which dimensions scale with the corresponding wavelengths, then observable geometric patterns should be created and their existence revealed. This paper analyses the feasible trapping of UELF electromagnetic waves within cosmic structures with a disk geometry that has an approximately circular sharp edge. By making a direct analogy with an optical fiber slice, we find characteristic time periods in the order of tens of thousands of years for spiral galaxies like the Milky Way, and in the order of several hours for a solar systems like ours. Actual geometric patterns, like the planetary magnetic field alignment and the recently published 3D Milky Way mapping, support and encourage our research. While our search for clues supporting the existence of UELF waves continues, the present working paper provides novel elements of analysis to advance with it.",
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"affiliation": "ITAM,Mexico City,Mexico",
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"affiliation": "ITAM,Mexico City,Mexico",
"fullName": "Edgar Roman-Rangel",
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"title": "2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)",
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"abstract": "Volume up scaling enlarges the size of a volume to make feature analysis more accurate and efficient. Linear interpolation, widely used in volume up scaling, result in jagged artifacts around features and losses of high-frequency components. Based on the example-based up scaling framework, this paper presents a new high-quality volume up scaling technique, predicting the high-frequency components by searching for the best matched patch in the input volume. As each slice can be taken as an image, the existing image up scaling technique based on the local self-similarity assumption can be directly applied to achieve slice up scaling. We further validate that the local self-similarity assumption is still valid for 3D volumes, and we extend this technique to 3D volume up scaling, i.e., isotropic volume up scaling. We compare our volume up scaling technique with traditional linear and cubic spline interpolations, and demonstrate that our method can generate a higher quality volume with better shape and details preserved. The proposed volume up scaling technique is well suitable for legacy low-resolution volumes to improve their visual qualities in visualization and analysis.",
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"content": "Volume up scaling enlarges the size of a volume to make feature analysis more accurate and efficient. Linear interpolation, widely used in volume up scaling, result in jagged artifacts around features and losses of high-frequency components. Based on the example-based up scaling framework, this paper presents a new high-quality volume up scaling technique, predicting the high-frequency components by searching for the best matched patch in the input volume. As each slice can be taken as an image, the existing image up scaling technique based on the local self-similarity assumption can be directly applied to achieve slice up scaling. We further validate that the local self-similarity assumption is still valid for 3D volumes, and we extend this technique to 3D volume up scaling, i.e., isotropic volume up scaling. We compare our volume up scaling technique with traditional linear and cubic spline interpolations, and demonstrate that our method can generate a higher quality volume with better shape and details preserved. The proposed volume up scaling technique is well suitable for legacy low-resolution volumes to improve their visual qualities in visualization and analysis.",
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"proceeding": {
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"title": "2019 23rd International Conference Information Visualisation (IV)",
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"title": "Interactive Close-Up Rendering for Detail+Overview Visualization of 3D Digital Terrain Models",
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"abstract": "This paper presents an interactive rendering technique for detail+overview visualization of 3D digital terrain models using interactive close-ups. A close-up is an alternative presentation of input data varying with respect to geometrical scale, mapping, appearance, as well as Level-of-Detail (LOD) and Level-of-Abstraction (LOA) used. The presented 3D closeup approach enables in-situ comparison of multiple Region-of-Interests (ROIs) simultaneously. We describe a GPU-based rendering technique for the image-synthesis of multiple closeups in real-time.",
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"content": "This paper presents an interactive rendering technique for detail+overview visualization of 3D digital terrain models using interactive close-ups. A close-up is an alternative presentation of input data varying with respect to geometrical scale, mapping, appearance, as well as Level-of-Detail (LOD) and Level-of-Abstraction (LOA) used. The presented 3D closeup approach enables in-situ comparison of multiple Region-of-Interests (ROIs) simultaneously. We describe a GPU-based rendering technique for the image-synthesis of multiple closeups in real-time.",
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"affiliation": "Hasso Plattner Institute, University of Potsdam",
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"title": "Interactive scientific visualization and parallel display techniques",
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"abstract": "A graphics environment for essentially real-time interactive scientific visualization of computational fluid mechanics is described. A researcher can interactively examine fluid data on a frame buffer with animated flow visualization diagnostics that mimic those in the experimental laboratory. This provides an effective and interactive way to analyze the underlying physical mechanisms and to compare results with laboratory experiment. The system is implemented on a data parallel supercomputer attached to a frame buffer. The fluid diagnostic tools include display of moving color contours for scalar fields, smoke/dye injection of passive particles to identify coherent flow structures, and bubble wire tracers for velocity profiles. The system is demonstrated by analyzing data generated from a numerical simulation of laminar and turbulent flow over a backwards-facing step. Input parameters are menu-driven, and images are updated at nine frame updates/s.",
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"abstract": "Forced convector, which is one of the low temperature heating end users, not only high efficient but also conveniently adjustable, fits for low temperature metering heating system which can raise energy efficiency. So in this paper, in order to convenient for engineering application of forced convector, heat dissipation calculation method and heat dissipation characteristic equation are put forward. Heat dissipation performances of forced convector were studied with the two parameters of heat transfer coefficients and mean temperature differences when inlet water temperature is from 45 to 60 and water flow rate is from 50 kg/h to 170 kg/h. Experimental results show that: the heat transfer coefficients are almost independent of the mean temperature difference under constant water flow rate, but have significant exponential relationship with variable water flow rate. The final calculation results of heat dissipation characteristic equation of forced convector are closed to experimental data.",
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"abstract": "We present a prototype collaborative application for archaeology that allows archeologists from remote locations to interact in real time with 3D archeological models through a shared virtual environment using teleimmersive technology. At each location, a set of stereo cameras captures 3D video of the user in real time to create his/her avatar. The 3D data is sent over the network to the remote location where it is integrated and rendered in the shared virtual environment. The teleimmersive aspect of this work provides a novel approach to interaction and interpretation of 3D archeological models by facilitating immersive experience in collaborative setting of remote users. The framework is aimed to facilitate in the future the study and analysis of a virtual reconstruction process in archaeology with the help from virtual community to re-contextualize and reassemble spatial archaeological data.",
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"affiliation": "University of California, Berkeley, USA",
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"abstract": "When adopting the texture algorithm, the color difference of the corresponding pixels of two matching blocks requires to be considered. For the traditional synthesis algorithms, the size of the sample block needs to be set by manual. Thus, after the synthesis, generally it will cause disorder in the feature of the texture and lacks the self-adaption. In order to solve the above-mentioned issue, a new texture synthesis algorithm of texture block is proposed, it takes the color difference of the texture and gradient structure information as the standard to measure the similarity of two matching blocks and the influence of the best matched texture block on the synthesis is deeply analyzed. According to different texture self-adaptions, the size of the texture block is confirmed so as to improve the rate and quality of the texture synthesis. Comparatively ideal effect has been obtained after the experimental verification.",
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"abstract": "This paper describes a method for synthesizing images that match the texture appearance of a given digitized sample. This synthesis is completely automatic and requires only the \"target\" texture as input. It allows generation of as much texture as desired so that any object can be covered. The approach is based on a model of human texture perception, and has potential to be a practically useful tool for image processing and graphics applications.",
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"abstract": "In this paper, we propose a novel scalable sub-patch algorithm for texture synthesis. Texture synthesis is an important research topic in computer graphics and image processing. We present an efficient algorithm which can paste a patch each time without boundary processing technique. In particular, the proposed sub-patch algorithm can be used in constrained texture synthesis to fill the large lost region. On the other hand, the searching neighborhood pixels can be changed due to different patch size in image reconstruction. The comparison of previous algorithms is also provided in this paper. We present a first algorithm used in constrained texture synthesis by regular synthesizing order",
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"title": "Experimental Research on the Recovery and Application of the Heat Radiated through the Wall of Heating Furnace",
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"abstract": "As the industrial furnace is characterized as large size and decentralized radiating surfaces, the air flow and heat recovery of the furnace can be effectively realized with bossing. This paper introduces the heat recovery mechanism through bossing. A thermal experiment table for heat recovery with visualized bossing was erected; orthogonal regression combination test was carried out; and the relation between the air outlet temperature and furnace wall temperature as well as the baffle plate rising height and the width of runner.",
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"content": "As the industrial furnace is characterized as large size and decentralized radiating surfaces, the air flow and heat recovery of the furnace can be effectively realized with bossing. This paper introduces the heat recovery mechanism through bossing. A thermal experiment table for heat recovery with visualized bossing was erected; orthogonal regression combination test was carried out; and the relation between the air outlet temperature and furnace wall temperature as well as the baffle plate rising height and the width of runner.",
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"abstract": "The CO2 heat pump system used in automotive air conditioning is analyzed theoretically in this article. The result shows that the temperature of the low–temperature side has a greater influence on the heating performance of the system than the temperature of high–temperature side. The air source heat pump system and the coolant source heat pump system are introduced and compared. By placing a heater core to recover exhaust heat from the engine, the performance and the heating capacity of the system are improved dramatically. Furthermore, through the theoretical analysis, the result that the coolant source heat pump system where the coolant flowed through the heater core first and then the evaporator had a better performance than other systems can be proved.",
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"doi": "10.1109/ICEET.2009.202",
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"content": "A steady-state lumped model of a fin-tube evaporator for carbon dioxide heat pump has been established in the paper. According to the model, a simulation program has been produced to calculate such parameters as the evaporator exchange heat, outlet temperature of CO2, enthalpy and so on. Then effects of air temperature, velocity and evaporation temperature on heat transfer and outlet parameters of carbon dioxide have been discussed, which is a reference to the design and optimization for CO2 evaporator.",
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"normalizedAbstract": "A steady-state lumped model of a fin-tube evaporator for carbon dioxide heat pump has been established in the paper. According to the model, a simulation program has been produced to calculate such parameters as the evaporator exchange heat, outlet temperature of CO2, enthalpy and so on. Then effects of air temperature, velocity and evaporation temperature on heat transfer and outlet parameters of carbon dioxide have been discussed, which is a reference to the design and optimization for CO2 evaporator.",
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"title": "Experimental Study on Energy Efficiency of Heat-source Tower Heat Pump Units in Winter Condition",
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"abstract": "Building energy consumption in China has been increasing rapidly. And a small increase in the operation efficiency of the air-conditioning system can substantially decrease it. In this paper a new type heat pump is developed to improve the performance of conventional air-source heat pumps. The major components of heat-source tower heat pump units are closed-type heat-source tower (cold and heat sources absorption equipment) and heat pump of low temperature heat source. According to the relevant national standards, the thermal parameters were experimentally studied, such as total heating capacity, consumed total power of heating and heating comprehensive performance coefficient, etc. of the heat-source tower heat pump developed for winter condition. Main test results: when air dry bulb temperature is -1℃~5℃, relative humidity is 71%~95%, COP of the chiller can be 2.58~4.34 and SEER of the units can 2.45~3.45 in winter condition. The results indicate that the heat-source tower heat pump units, which is new developed, has very good application prospects in hot summer and cold winter region.",
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"content": "Building energy consumption in China has been increasing rapidly. And a small increase in the operation efficiency of the air-conditioning system can substantially decrease it. In this paper a new type heat pump is developed to improve the performance of conventional air-source heat pumps. The major components of heat-source tower heat pump units are closed-type heat-source tower (cold and heat sources absorption equipment) and heat pump of low temperature heat source. According to the relevant national standards, the thermal parameters were experimentally studied, such as total heating capacity, consumed total power of heating and heating comprehensive performance coefficient, etc. of the heat-source tower heat pump developed for winter condition. Main test results: when air dry bulb temperature is -1℃~5℃, relative humidity is 71%~95%, COP of the chiller can be 2.58~4.34 and SEER of the units can 2.45~3.45 in winter condition. The results indicate that the heat-source tower heat pump units, which is new developed, has very good application prospects in hot summer and cold winter region.",
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"normalizedAbstract": "Building energy consumption in China has been increasing rapidly. And a small increase in the operation efficiency of the air-conditioning system can substantially decrease it. In this paper a new type heat pump is developed to improve the performance of conventional air-source heat pumps. The major components of heat-source tower heat pump units are closed-type heat-source tower (cold and heat sources absorption equipment) and heat pump of low temperature heat source. According to the relevant national standards, the thermal parameters were experimentally studied, such as total heating capacity, consumed total power of heating and heating comprehensive performance coefficient, etc. of the heat-source tower heat pump developed for winter condition. Main test results: when air dry bulb temperature is -1℃~5℃, relative humidity is 71%~95%, COP of the chiller can be 2.58~4.34 and SEER of the units can 2.45~3.45 in winter condition. The results indicate that the heat-source tower heat pump units, which is new developed, has very good application prospects in hot summer and cold winter region.",
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"title": "Temperature Field and Heat Transfer Analysis of Underground Buried Pipe",
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"abstract": "Energy delivering pipes which are buried in the ground will change the surrounding temperature field accompanied by energy loss. This paper established the two-dimensional temperature field mathematical model of the soil around the underground burying pipes, and simplified the third order boundary condition as the first kind of boundary condition by adopting the hypothesized surface law. Besides, it solved the temperature field of the soil around the underground burying pipes by adopting the principle of superposition, the variable resolution and the hypothesized heat source law, and has further analyzed the heat transfer process of the underground burying pipes under the effect of double heat source of the atmospheric and the soil stratosphere, as well as the fluid temperature field along pipes. This paper provides thermal reference for engineering design of underground buried pipe.",
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"title": "Lattice BGK Computational Method for Solving Natural Convection Heat Transfer from a Heated Non-concentric Annulus Cylinder",
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"abstract": "In this paper, we report the fluid flow behavior and characteristic of heat transfer from a heated inner cylinder placed eccentrically inside cold outer cylinder. The double distribution function lattice Boltzmann numerical scheme with the simplest lattice structure is applied to predict the velocity and temperature fields in the system. Six numerical experiments were preformed in order to study these phenomena with different locations of heated inner circular cylinder. In current study, we found that the vortex formation, size and strength are significantly affected by the location of heated inner cylinder. However, the convection mode heat transfer dominates the heat transfer mechanism for every simulation condition due to relatively high Rayleigh number condition applied in this study.",
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"content": "In this paper, we report the fluid flow behavior and characteristic of heat transfer from a heated inner cylinder placed eccentrically inside cold outer cylinder. The double distribution function lattice Boltzmann numerical scheme with the simplest lattice structure is applied to predict the velocity and temperature fields in the system. Six numerical experiments were preformed in order to study these phenomena with different locations of heated inner circular cylinder. In current study, we found that the vortex formation, size and strength are significantly affected by the location of heated inner cylinder. However, the convection mode heat transfer dominates the heat transfer mechanism for every simulation condition due to relatively high Rayleigh number condition applied in this study.",
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"Flow Simulation",
"Lattice Boltzmann Methods",
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"Vortices",
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"Heat Transfer",
"Engine Cylinders",
"Fluid Flow",
"Heat Engines",
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"Boundary Conditions",
"Temperature",
"Computer Applications",
"Mechanical Engineering",
"Finite Difference Methods"
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"affiliation": null,
"fullName": "Nor Azwadi Che Sidik",
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"fullName": "Shahrul Azmir Osman",
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"article": {
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"doi": "10.1109/ICCIS.2011.216",
"title": "Research of Temperature Prediction in Steel Cabin Fire with Large Eddy Simulation and Experiment",
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"abstract": "The ship cabin fire is different from other types of fire because the surrounding bulkheads of cabin are usually made of steel which is a good conductor of heat. Lots of heat produced by the fire would conduct from the steel bulkhead to other cabins. The hot bulkhead would also heat up the air in the cabin with radiation and convection. Investigating the law of temperature rising in the steel cabin during the fire would have an important meaning to guide the fireproofing design of the cabin. This paper uses the fire simulation software FDS (Fire Dynamics Simulator) which has a Large Eddy Simulation turbulence model to simulate a full scale cabin fire experiment designed by U.S. Coast Guard. FDS would predict accurate temperature distribution in the middle and top domain of the cabin. The cold layer temperature which affected by the incoming air predicted by FDS is not so good.",
"abstracts": [
{
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"content": "The ship cabin fire is different from other types of fire because the surrounding bulkheads of cabin are usually made of steel which is a good conductor of heat. Lots of heat produced by the fire would conduct from the steel bulkhead to other cabins. The hot bulkhead would also heat up the air in the cabin with radiation and convection. Investigating the law of temperature rising in the steel cabin during the fire would have an important meaning to guide the fireproofing design of the cabin. This paper uses the fire simulation software FDS (Fire Dynamics Simulator) which has a Large Eddy Simulation turbulence model to simulate a full scale cabin fire experiment designed by U.S. Coast Guard. FDS would predict accurate temperature distribution in the middle and top domain of the cabin. The cold layer temperature which affected by the incoming air predicted by FDS is not so good.",
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"normalizedAbstract": "The ship cabin fire is different from other types of fire because the surrounding bulkheads of cabin are usually made of steel which is a good conductor of heat. Lots of heat produced by the fire would conduct from the steel bulkhead to other cabins. The hot bulkhead would also heat up the air in the cabin with radiation and convection. Investigating the law of temperature rising in the steel cabin during the fire would have an important meaning to guide the fireproofing design of the cabin. This paper uses the fire simulation software FDS (Fire Dynamics Simulator) which has a Large Eddy Simulation turbulence model to simulate a full scale cabin fire experiment designed by U.S. Coast Guard. FDS would predict accurate temperature distribution in the middle and top domain of the cabin. The cold layer temperature which affected by the incoming air predicted by FDS is not so good.",
"fno": "4501a889",
"keywords": [
"Fire Simulation",
"Model Validation",
"Pool Fire",
"Full Scale Experiment"
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{
"affiliation": null,
"fullName": "Xiaojun Zhu",
"givenName": "Xiaojun",
"surname": "Zhu",
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{
"affiliation": null,
"fullName": "Chenhua Zhong",
"givenName": "Chenhua",
"surname": "Zhong",
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{
"affiliation": null,
"fullName": "Zhiqing Yang",
"givenName": "Zhiqing",
"surname": "Yang",
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"abstract": "Effective bus route planning is important for management to solve the traffic problems. In this paper, we analyze the spatiotemporal characteristics of resident trips from real GPS data of taxi in the city of Beijing, China and find that it has significant sub-period and cyclical characteristics. Besides we design Multi-objective Bus Route Plan Model based on ant colony algorithm by considering the travel characteristics of residents. The result of the model shows that it can provide the solution of bus routes with stronger transportation and less travel time. And the discovered hotspots match the travelers' experience.",
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"abstract": "With more and more citizens traveling for life or work at night, there is a big gap between the demands and supplies for public transportation service in China. In this paper, we address the problem of night-bus stop planning by investigating the characteristics of taxi GPS trajectories and transactions, rather than leveraging subjective and costly surveys about citizen mobility patterns. There are two stages in our method. In the first stage, we extract the Pick-up and Drop-off Records (PDRs) from the taxi GPS trajectories and transactions for capturing citizens travel patterns at night. In the second stage, we propose DC-DBSCAN, an improved DBSCAN clustering algorithm by considering the Distance Constraint, to detect hot locations as candidate night-bus stops from the PDRs dataset. We take the service range of a bus stop into consideration, and optimize the candidates by considering the cost and convenience factors. Finally, our experiments demonstrate that our method is valid and with better performance than that of K-means.",
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"abstract": "Taxi fraud has become a serious problem in many large cities, where passengers are overcharged by taxi drivers in various ways. Researchers have developed a number of methods to detect taxi frauds with the assumption that fraudulent trips, among normal trips, are recorded by taximeters. In this paper, different from the previous work, we identify a new type of taxi fraud called unmetered taxi rides, where taxi drivers carry passengers without activating the taximeters. Since these fraudulent rides are not recorded by taximeters, previous detection approaches cannot directly apply to them. Hence, we propose a novel fraud detection system specifically designed for unmetered taxi rides. Our system uses a learning model to detect unmetered trajectory segments that are similar to metered rides, and introduces a heuristic algorithm to construct maximum fraudulent trajectories from the trajectory dataset. We have conducted detailed experiments on real-world datasets, and the results show that the proposed system can detect unmetered taxi rides effectively and efficiently.",
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"abstract": "The data regarding the components of a software system consists of a large amount of information such as version history, number of lines, defect density, and complexity measures. The ability to quickly grasp a comprehensive view of the evolution and dependencies of such information is the key to making informed decisions about future developments of the system. Managers usually make such decision based only on expert judgement. For help in making such decisions, we can turn to the evolution history of large software systems, which contain a wealth of hidden information. Traditionally, this information is passed on through anecdotes without any supporting analytical data. This paper reports on our attempts to make such information more concrete through information visualization techniques. We present a three-dimensional visual representation for examining a system's software release history. The structure of the system is displayed by 2-D or 3-D graphs. The historical information is displayed by using time as the third dimension. Colors are used for displaying module properties and their historical changes in the system. A supporting software tool enables not only visualization but also navigation in the 3-D space to change the viewpoint, to browse system information, to find interesting patterns and to discover previously unknown relationships among system components.",
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"abstract": "A symmetric square matrix is a type of dataset frequently found in various domains. An example is character co-occurrence matrices in digital humanities. However, the visualization of these matrices is difficult. In this paper, we propose a method for visualizing symmetric square matrices, by transforming a matrix into overlapping sets, and then by visualizing these overlapping sets using rainbow boxes, a recent set visualization technique. We apply this method to the visualization of character matrices in novels, using two datasets: a small one (21 characters) and a large one (80 characters). We show that this visualization allows the finding of several insights. Finally, we discuss the advantages and drawbacks of this method, and we compare it to other approaches in the literature.",
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