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"abstract": "We present a learning method for predicting animation skeletons for input 3D models of articulated characters. In contrast to previous approaches that fit pre-defined skeleton templates or predict fixed sets of joints, our method produces an animation skeleton tailored for the structure and geometry of the input 3D model. Our architecture is based on a stack of hourglass modules trained on a large dataset of 3D rigged characters mined from the web. It operates on the volumetric representation of the input 3D shapes augmented with geometric shape features that provide additional cues for joint and bone locations. Our method also enables intuitive user control of the level-of-detail for the output skeleton. Our evaluation demonstrates that our approach predicts animation skeletons that are much more similar to the ones created by humans compared to several alternatives and baselines.",
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"abstract": "Although fulldome video digital theaters evolved from traditional planétariums, they are more akin to virtual reality (VR) theaters that create large-scale, group immersive experiences. In order to help understand how immersion and wide fields-of-view (FOV) impact learning, we studied the use of visualizations on topics that do and do not require spatial understanding in astronomy classes. We find a significant difference between students who viewed visualizations in the dome versus those that saw non-immersive content in their classrooms, with the former showing the greatest retention. Our results suggest that immersive visuals help free up cognitive resources that can be used to build mental models requiring spatial understanding, and the physical display size combined with the wide FOV may result in greater attention. Although fulldome is a complementary medium to traditional VR, our results have implications for future head-mounted displays.",
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"content": "Although fulldome video digital theaters evolved from traditional planétariums, they are more akin to virtual reality (VR) theaters that create large-scale, group immersive experiences. In order to help understand how immersion and wide fields-of-view (FOV) impact learning, we studied the use of visualizations on topics that do and do not require spatial understanding in astronomy classes. We find a significant difference between students who viewed visualizations in the dome versus those that saw non-immersive content in their classrooms, with the former showing the greatest retention. Our results suggest that immersive visuals help free up cognitive resources that can be used to build mental models requiring spatial understanding, and the physical display size combined with the wide FOV may result in greater attention. Although fulldome is a complementary medium to traditional VR, our results have implications for future head-mounted displays.",
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"affiliation": "Denver Museum of Nature & Science, USA",
"fullName": "Ka Chun Yu",
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"affiliation": "Metropolitan State University of Denver, USA",
"fullName": "Kamran Saham",
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"affiliation": "Metropolitan State University of Denver, USA",
"fullName": "Victoria Sahami",
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"affiliation": "Metropolitan State University of Denver, USA",
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"affiliation": "Metropolitan State University of Denver, USA",
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"abstract": "We describe our work on shape-based image database search using the technique of modal matching. Modal matching employs a deformable shape decomposition that allows users to select example objects and have the computer efficiently sort the set of objects based on the similarity of their shape. Shapes are compared in terms of the types of nonrigid deformations (differences) that relate them. The modal decomposition provides deformation \"control knobs\" for flexible matching and thus allows for selecting weighted subsets of shape parameters that are deemed significant for a particular category or context. We demonstrate the utility of this approach for shape comparison in 2-D image databases; however the general formulation is applicable to signals of any dimensionality.<>",
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"doi": "10.1109/ICIC.2011.87",
"title": "Numerical Study of the Turbulent Characteristic in a Novel Circulating Jet Mixer",
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"abstract": "Numerical simulations were performed to study the fluid characteristics in a novel static jet mixer with respect to the specific configuration. The results show that the profiles of three velocity components are symmetry to the cross-section z/H=0.5 and varies with the same trend of the different radial position. The magnitude of tangential velocity is one order greater than that of the axial velocity. The baffle length has an effect on the velocity components. The peak of the turbulent intensity is always at the jet position and the trend is the same as that of the turbulent kinetic energy.",
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"content": "Numerical simulations were performed to study the fluid characteristics in a novel static jet mixer with respect to the specific configuration. The results show that the profiles of three velocity components are symmetry to the cross-section z/H=0.5 and varies with the same trend of the different radial position. The magnitude of tangential velocity is one order greater than that of the axial velocity. The baffle length has an effect on the velocity components. The peak of the turbulent intensity is always at the jet position and the trend is the same as that of the turbulent kinetic energy.",
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"title": "2015 7th International Conference on Information Technology in Medicine and Education (ITME)",
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"doi": "10.1109/ITME.2015.124",
"title": "Numerical Analysis Study on Flow Field and Sound Field in Spiral Tube",
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"abstract": "The model of Realizable κ-ε in fluent of computational fluid dynamics software was used to numerically simulate unsteady turbulent flow in spiral tube. In order to get the sound pressure with time variation diagram and the sound field spectrogram, the situation of flow field was analyzed and the acoustic field was monitored by the FW-H equation. The results show that the pressure of fluid to the internal wall was changing continually with time in the flow field. They were given that the cross section which can produce relatively large turbulent kinetic energy, and the relationships between the spiral angle θ and turbulent kinetic energy, speed. It was found that the sound pressure in sound field increased with time, reached the extreme value and then leveled out. The sound pressure level gradually decreased with the increase of frequency. These results provide an important theoretical basis for the optimization and design of spiral pipe.",
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{
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"content": "The model of Realizable κ-ε in fluent of computational fluid dynamics software was used to numerically simulate unsteady turbulent flow in spiral tube. In order to get the sound pressure with time variation diagram and the sound field spectrogram, the situation of flow field was analyzed and the acoustic field was monitored by the FW-H equation. The results show that the pressure of fluid to the internal wall was changing continually with time in the flow field. They were given that the cross section which can produce relatively large turbulent kinetic energy, and the relationships between the spiral angle θ and turbulent kinetic energy, speed. It was found that the sound pressure in sound field increased with time, reached the extreme value and then leveled out. The sound pressure level gradually decreased with the increase of frequency. These results provide an important theoretical basis for the optimization and design of spiral pipe.",
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"normalizedAbstract": "The model of Realizable κ-ε in fluent of computational fluid dynamics software was used to numerically simulate unsteady turbulent flow in spiral tube. In order to get the sound pressure with time variation diagram and the sound field spectrogram, the situation of flow field was analyzed and the acoustic field was monitored by the FW-H equation. The results show that the pressure of fluid to the internal wall was changing continually with time in the flow field. They were given that the cross section which can produce relatively large turbulent kinetic energy, and the relationships between the spiral angle θ and turbulent kinetic energy, speed. It was found that the sound pressure in sound field increased with time, reached the extreme value and then leveled out. The sound pressure level gradually decreased with the increase of frequency. These results provide an important theoretical basis for the optimization and design of spiral pipe.",
"fno": "8302a506",
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"affiliation": "Department of Mathematics and Physics, Hubei University of Medicine, China",
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"affiliation": "Department of Mathematics and Physics, Hubei University of Medicine, China",
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"affiliation": "Department of Mathematics and Physics, Hubei University of Medicine, China",
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"proceeding": {
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"title": "2009 International Conference on Measuring Technology and Mechatronics Automation",
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"doi": "10.1109/ICMTMA.2009.188",
"title": "Numerical Simulation of Jet Flow Led by Different Central Body Locations",
"normalizedTitle": "Numerical Simulation of Jet Flow Led by Different Central Body Locations",
"abstract": "To predict the operation effect of a cavitation nozzle with inner central body, geometrical model and numerical model are established. Flow fields led by different axial locations of central body are analyzed contrastively. Total pressure, velocity and turbulent kinetic energy are three focused parameters in the study. It is proved that different kinds of central bodies have remarkable influence on flow energy and operation effect. An optimal geometrical configuration is finally determined. The advantages and disadvantages of the nozzle type are also remarked. The study here provides helpful references for further simulation with reasonable and validated cavitation model and experiment research with advanced flow visualization tools.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To predict the operation effect of a cavitation nozzle with inner central body, geometrical model and numerical model are established. Flow fields led by different axial locations of central body are analyzed contrastively. Total pressure, velocity and turbulent kinetic energy are three focused parameters in the study. It is proved that different kinds of central bodies have remarkable influence on flow energy and operation effect. An optimal geometrical configuration is finally determined. The advantages and disadvantages of the nozzle type are also remarked. The study here provides helpful references for further simulation with reasonable and validated cavitation model and experiment research with advanced flow visualization tools.",
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],
"normalizedAbstract": "To predict the operation effect of a cavitation nozzle with inner central body, geometrical model and numerical model are established. Flow fields led by different axial locations of central body are analyzed contrastively. Total pressure, velocity and turbulent kinetic energy are three focused parameters in the study. It is proved that different kinds of central bodies have remarkable influence on flow energy and operation effect. An optimal geometrical configuration is finally determined. The advantages and disadvantages of the nozzle type are also remarked. The study here provides helpful references for further simulation with reasonable and validated cavitation model and experiment research with advanced flow visualization tools.",
"fno": "3583b271",
"keywords": [
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"Flow Simulation",
"Jets",
"Nozzles",
"Turbulence",
"Jet Flow Numerical Simulation",
"Central Body Locations",
"Cavitation Nozzle Operation Effect",
"Inner Central Body",
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"Total Flow Pressure",
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"authors": [
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"affiliation": "Sch. of Mater. Sci. & Eng., Jiangsu Univ., Zhenjiang, China",
"fullName": "Haixia Liu",
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"affiliation": "Jiangsu University",
"fullName": "Can Kang",
"givenName": "Can",
"surname": "Kang",
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{
"affiliation": "Jiangsu University",
"fullName": "Minguan Yang",
"givenName": "Minguan",
"surname": "Yang",
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"year": "2009",
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"abstract": "Software for computational analysis and simulation of biochemical systems has become one of the major computational tools in systems biology in recent years. Most of them use parameterized differential equations to model and describe biochemical systems. Although biochemical principles, such as enzyme mechanics, have been developed to derive kinetic rate equations, measuring and providing parameters in the equations are expensive and laborious. Observe that many kinetic parameters have been experimentally measured in previous research, and recorded in published literatures. Instead of measuring kinetic parameters from experiments, one of the alternatives is to find parameters from literatures. However, the amount of such literatures is huge, and reading them is very time-consuming. About the previous research of kinetic parameters are focused on literature including kinetic parameters or not. In this paper, we present a software tool (KIND) for automatic extraction of kinetic parameters from full-length literatures. In order to help biologist easy to retrieve kinetic parameters information, KIND can automatic generate table format to present kinetic parameters information from literatures. We aim at developing a tool that can be used to compile a database of kinetic parameters from literatures to aid the modeling of biological processes.",
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{
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"proceeding": {
"id": "1I6RKhOHxAs",
"title": "2022 International Conference on Cyberworlds (CW)",
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"volume": "0",
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"article": {
"id": "1I6RRy0eeMo",
"doi": "10.1109/CW55638.2022.00011",
"title": "Kinetic Façade Design with Eshelby Twist for Sunlight Exposure Reduction",
"normalizedTitle": "Kinetic Façade Design with Eshelby Twist for Sunlight Exposure Reduction",
"abstract": "This research focuses on interpreting the Eshelby twist behavior into kinetic façade design, which is a continuous crystallographic twist generated by the torsional force of an axial screw dislocation in a one-dimensional nanowire structure. The mechanism can be adjusted to the kinetic façade, changing dynamically rather than being static or fixed and allowing movement to occur on a building's surface with the potential to reduce sunlight exposure. Natural light is essential for making human work in building spaces more productive. The solution to the issue of inappropriate natural light in indoor spaces is a kinetic façade, which is self-adjustable according to sunlight intensity. The simulation results before and after installing the façade show the sunlight exposure value were 2030 kWh/m<sup>2</sup> and 300 kWh/m<sup>2</sup> per year, respectively. 2030 kWh/m<sup>2</sup>, this value is too excessive for direct sunlight for users living in the space. As a result, the sunlight exposure value after installation is acceptable for users; it is verified that the proposed design can strongly decrease sunlight exposure. These findings indicate that the Eshelby twist is the principal phenomenon facilitating façade movement.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This research focuses on interpreting the Eshelby twist behavior into kinetic façade design, which is a continuous crystallographic twist generated by the torsional force of an axial screw dislocation in a one-dimensional nanowire structure. The mechanism can be adjusted to the kinetic façade, changing dynamically rather than being static or fixed and allowing movement to occur on a building's surface with the potential to reduce sunlight exposure. Natural light is essential for making human work in building spaces more productive. The solution to the issue of inappropriate natural light in indoor spaces is a kinetic façade, which is self-adjustable according to sunlight intensity. The simulation results before and after installing the façade show the sunlight exposure value were 2030 kWh/m<sup>2</sup> and 300 kWh/m<sup>2</sup> per year, respectively. 2030 kWh/m<sup>2</sup>, this value is too excessive for direct sunlight for users living in the space. As a result, the sunlight exposure value after installation is acceptable for users; it is verified that the proposed design can strongly decrease sunlight exposure. These findings indicate that the Eshelby twist is the principal phenomenon facilitating façade movement.",
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"normalizedAbstract": "This research focuses on interpreting the Eshelby twist behavior into kinetic façade design, which is a continuous crystallographic twist generated by the torsional force of an axial screw dislocation in a one-dimensional nanowire structure. The mechanism can be adjusted to the kinetic façade, changing dynamically rather than being static or fixed and allowing movement to occur on a building's surface with the potential to reduce sunlight exposure. Natural light is essential for making human work in building spaces more productive. The solution to the issue of inappropriate natural light in indoor spaces is a kinetic façade, which is self-adjustable according to sunlight intensity. The simulation results before and after installing the façade show the sunlight exposure value were 2030 kWh/m2 and 300 kWh/m2 per year, respectively. 2030 kWh/m2, this value is too excessive for direct sunlight for users living in the space. As a result, the sunlight exposure value after installation is acceptable for users; it is verified that the proposed design can strongly decrease sunlight exposure. These findings indicate that the Eshelby twist is the principal phenomenon facilitating façade movement.",
"fno": "681400a008",
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"Design Engineering",
"Nanowires",
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"Sunlight",
"Torsion",
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"Indoor Spaces",
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"authors": [
{
"affiliation": "Japan Advanced Institute of Science and Technology (JAIST),Ishikawa,Japan",
"fullName": "Sukhum Sanakaewthong",
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"affiliation": "Japan Advanced Institute of Science and Technology (JAIST),Ishikawa,Japan",
"fullName": "Kazunori Miyata",
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{
"affiliation": "Thammasat University,School of Information, Computer and Communication Technology Sirindhorn International Institute of Technology,Pathum Thani,Thailand",
"fullName": "Teerayut Horanont",
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"affiliation": "Japan Advanced Institute of Science and Technology (JAIST),Ishikawa,Japan",
"fullName": "Haoran Xie",
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"affiliation": "National Electronics and Computer Technology Centre (NECTEC),Pathum Thani,Thailand",
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{
"proceeding": {
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"title": "Visualization Conference, IEEE",
"acronym": "ieee-vis",
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"year": "2004",
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"article": {
"id": "12OmNAXPy8c",
"doi": "10.1109/VISUAL.2004.55",
"title": "Interactive Terascale Particle Visualization",
"normalizedTitle": "Interactive Terascale Particle Visualization",
"abstract": "This paper describes the methods used to produce an interactive visualization of a 2 TB computational fluid dynamics (CFD) data set using particle tracing (streaklines). We use the method introduced by Bruckschen et al. [3] that precomputes a large number of particles, stores them on disk using a space-filling curve ordering that minimizes seeks, then retrieves and displays the particles according to the user's command. We describe how the particle computation can be performed using a PC cluster, how the algorithm can be adapted to work with a multi-block curvilinear mesh, how scalars can be extracted and used to color the particles, and how the out-of-core visualization can be scaled to 293 billion particles while still achieving interactive performance on PC hardware. Compared to the earlier work, our data set size and total number of particles are an order of magnitude larger. We also describe a new compression technique that losslessly reduces the amount of particle storage by 41% and speeds the particle retrieval by about 20%.",
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"abstract": "The H¡Þ filter technique, which was developed in signal processing and control field in recent years, is introduced into data fusion method. Based on the principle of particles of forward model, a new sequential data fusion method called \"particle H¡Þ filter\" is introduced into this paper by integrating H¡Þ filter technique and Monte Carlo method. This method can be used for nonlinear systems lacking the statistical properties of observational errors. To find the smallest level factor that could bring optimal estimations, bisection search method is embedded in the arithmetic of particle H¡Þ filter and their calculation steps are also given. The numerical results also show that particle H¡Þ filter data fusion method is effective and suitable to nonlinear systems in that it does not rely on the statistical properties of observational errors and has better robustness.",
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"content": "In Monte Carlo simulations, the more particles you trace, the more accurate results you get. While recent improvements in hardware and software have feasible on personal computers, it can still take hours, even days to achieve a statistically meaningful result. Geant4 is a kind of Monte Carlo simulation tool solving the problem in nuclear physics. It can be used to accurately simulate the passage of particles through matter. It has been reported that Geant4 parallelization was successfully achieved on PC cluster. Problems are how it works on cluster system which is different from PC cluster. Since cluster system has much higher data transmission speed, the limited exchange speed of data in the PC cluster is gone. In this paper, two usual parallel modes were compared in parallelizing the Monte Carlo simulation. They were Static Scheduling mode and Master-Slave mode. Simulations show that Parallel Monte Carlo Simulation on Cluster System for particle transport using Geant4 is feasible.",
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"abstract": "Uncertain graphs have been widely used to represent graph data with inherent uncertainty in structures. Reliability search is a fundamental problem in uncertain graph analytics. This paper studies a new problem, the top-k reliability search problem on uncertain graphs, that is, finding k vertices v with the highest reliabilities of connections from a source vertex s to v. Note that the existing algorithm for the threshold-based reliability search problem is inefficient for the top-k reliability search problem. We propose a new algorithm to efficiently solve the top-k reliability search problem. The algorithm adopts two important techniques, namely the BFS sharing technique and the offline sampling technique. The BFS sharing technique exploits overlaps among different sampled possible worlds of the input uncertain graph and performs a single BFS on all possible worlds simultaneously. The offline sampling technique samples possible worlds offline and stored them using a compact structure. The algorithm also takes advantages of bit vectors and bitwise operations to improve efficiency. Moreover, we generalize the top-k reliability search problem to the multi-source case and show that the multi-source case of the problem can be equivalently converted to the single-source case of the problem. Extensive experiments carried out on both real and synthetic datasets verify that the optimized algorithm outperforms the baselines by 1 -- 2 orders of magnitude in execution time while achieving comparable accuracy. Meanwhile, the optimized algorithm exhibits linear scalability with respect to the size of the input uncertain graph.",
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"abstract": "Uncertain data processing is critical in a wide range of applications such as scientific computation handling data with inevitable errors and financial decision making relying on human provided parameters. While increasingly studied in the area of databases, uncertain data processing is often carried out by software, and thus software based solutions are attractive. In particular, Monte Carlo (MC) methods execute software with many samples from the uncertain inputs and observe the statistical behavior of the output. In this paper, we propose a technique to improve the cost-effectiveness of MC methods. Assuming only part of the input is uncertain, the certain part of the input always leads to the same execution across multiple sample runs. We remove such redundancy by coalescing multiple sample runs in a single run. In the coalesced run, the program operates on a vector of values if uncertainty is present and a single value otherwise. We handle cases where control flow and pointers are uncertain. Our results show that we can speed up the execution time of 30 sample runs by an average factor of 2.3 without precision lost or by up to 3.4 with negligible precision lost.",
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"content": "Uncertain data processing is critical in a wide range of applications such as scientific computation handling data with inevitable errors and financial decision making relying on human provided parameters. While increasingly studied in the area of databases, uncertain data processing is often carried out by software, and thus software based solutions are attractive. In particular, Monte Carlo (MC) methods execute software with many samples from the uncertain inputs and observe the statistical behavior of the output. In this paper, we propose a technique to improve the cost-effectiveness of MC methods. Assuming only part of the input is uncertain, the certain part of the input always leads to the same execution across multiple sample runs. We remove such redundancy by coalescing multiple sample runs in a single run. In the coalesced run, the program operates on a vector of values if uncertainty is present and a single value otherwise. We handle cases where control flow and pointers are uncertain. Our results show that we can speed up the execution time of 30 sample runs by an average factor of 2.3 without precision lost or by up to 3.4 with negligible precision lost.",
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"abstract": "Super pixels and super voxels play an important role in many computer vision applications, such as image segmentation, object recognition and video analysis. In this paper, we propose a hierarchical edge-weighted centroidal Voronoi tessellation (HEWCVT) method for generating superpixels/supervoxels in multiple scales. In this method we model the problem as a multilevel clustering process: superpixels/supervoxels in one level are clustered to obtain larger size superpixels/supervoxels in the next level. In the finest scale, the initial clustering is directly conducted on pixels/voxels. The clustering energy involves both color/feature similarities and the proposed boundary smoothness of superpixels/supervoxels. The resulting superpixels/supervoxels can be easily represented by a hierarchical tree which describes the nesting relation of superpixels/supervoxels across different scales. We evaluate and compare the proposed method with several state-of-the-art superpixel/supervoxel methods on standard image and video datasets. Both quantitative and qualitative results show that the proposed HEWCVT method achieves superior or comparable performances to other methods.",
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"abstract": "This paper presents a new method to extract 3D Discrete Spherical Fourier Descriptors (DSFD) based on surface curvature voxels for pollen recognition. In order to reduce the high amount of pollen information and noise disturbance, the geometric normalized curvature voxels with the principal curvedness are firstly extracted to represent the intrinsic pollen volumetric data. Then the curvature voxels are decomposed into radial and angular components with Spherical Harmonic Transform in spherical coordinates. Finally the discrete 3D Fourier transform is applied on the decomposed curvature voxels to obtain the 3D Spherical Fourier Descriptors for pollen recognition. Experimental results show that the presented descriptors are invariant to pollen image rotation, scale and translation, and can bring about good recognition precision and speed simultaneously.",
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"abstract": "Stochastic gradient descent (SGD) is a well-known method for regression and classification tasks. However, it is an inherently sequential algorithm - at each step, the processing of the current example depends on the parameters learned from previous examples. Prior approaches to parallelizing linear learners using SGD, such as Hogwild! and AllReduce, do not honor these dependencies across threads and thus can potentially suffer poor convergence rates and/or poor scalability. This paper proposes SymSGD, a parallel SGD algorithm that, to a first-order approximation, retains the sequential semantics of SGD. Each thread learns a local model in addition to a model combiner, which allows local models to be combined to produce the same result as what a sequential SGD would have produced. This paper evaluates SymSGD's accuracy and performance on 6 datasets on a shared-memory machine shows up-to 11x speedup over our heavily optimized sequential baseline on 16 cores and 2.2x, on average, faster than Hogwild!.",
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"abstract": "As the size of digitized painting collections increase, it becomes more difficult to organize and retrieve paintings from these collections. To manage search and other similar operations efficiently, it becomes necessary to organize the painting databases into classes and sub-classes. Manual tagging of these ever-increasing databases would become very costly and time consuming. The above challenging problem has motivated researchers to work in the area of painting analysis, genre and style classification, artist classification and automatic annotation of paintings with these tags. These problems are quite difficult as first the expected human performance for this task for non-expert but reasonably knowledgeable individuals is believed to be well below 100% percent. And second, there is a very big databases of paintings with relatively few painters painting in a single genre and style and many who paint in multiple genres and styles. In this paper, we explore the problem of feature extraction on the paintings and focus on classification of paintings into their genres and styles. We worked with 6 genres and 10 styles. We get an accuracy of 84.56% for genre classification. We achieved an accuracy of 62.37% for classifying the paintings into 10 styles. We include a comparison to existing feature extraction and classification methods as well as an analysis of our own approach across different feature vectors.",
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"abstract": "We focus on painting retrieval problem, and our motivation is to find out similar paintings and assist painting plagiarism identification. Similar painting retrieval is much more challenging than natural image retrieval, since different paintings have different styles and the similarity of paintings is difficult to measure. In this paper, we define the similarity of paintings from the perspectives of both semantics and structure rather than pixel level color, texture and shape. Specifically, we use the pooling activations of Convolutional Neural Network (CNN) to represent painting features, which preserves both semantic information and structure information. We propose an adaptive weighted matching approach to measure the similarity of paintings, and embed it into a painting retrieval framework. Furthermore, we propose a feature map selection approach to reduce redundancy based on the weights. We collect a new paintings dataset to evaluate painting similarity, which consists of 324 query-reference image pairs from China Artists Association, and 7200 distracted painting images from the Internet, which contains the most common similarity cases. Our approach obtains promising results on the dataset, confirming the superiority of our approach.",
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"content": "We focus on painting retrieval problem, and our motivation is to find out similar paintings and assist painting plagiarism identification. Similar painting retrieval is much more challenging than natural image retrieval, since different paintings have different styles and the similarity of paintings is difficult to measure. In this paper, we define the similarity of paintings from the perspectives of both semantics and structure rather than pixel level color, texture and shape. Specifically, we use the pooling activations of Convolutional Neural Network (CNN) to represent painting features, which preserves both semantic information and structure information. We propose an adaptive weighted matching approach to measure the similarity of paintings, and embed it into a painting retrieval framework. Furthermore, we propose a feature map selection approach to reduce redundancy based on the weights. We collect a new paintings dataset to evaluate painting similarity, which consists of 324 query-reference image pairs from China Artists Association, and 7200 distracted painting images from the Internet, which contains the most common similarity cases. Our approach obtains promising results on the dataset, confirming the superiority of our approach.",
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{
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"fullName": "Feng Gao",
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"abstract": "I present emoPaint, a painting application that allows users to create paintings expressive of human emotions with the range of visual elements. While previous systems have introduced painting in 3D space, emoPaint focuses on supporting emotional characteristics by providing pre-made emotion brushes to users and allowing them to subsequently change the expressive properties of their paintings. Pre-made emotion brushes include art elements such as line textures, shape parameters and color palettes. This enables users to control expression of emotions in their paintings. I describe my implementation and illustrate paintings created using emoPaint.",
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"normalizedAbstract": "Combining the intelligent algorithm such as BP neural network and support vector maching (SVM) with traditional chemical method, this paper models the relationship between plant surface color and its pigment. Using the neural network model constructed above, people can figure out the content of plant pigments by getting the corresponding plant surface color information. Compared with the traditional modeling methods, this method can significantly save time and experimental supplies. Furthermore, it is easy to implement because it needn't touch samples and doesn't cause any damage to samples. So this method provides a practical tool for non-destructive measurements of plant pigments and solutions to explore the mystery of plant color.",
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"abstract": "In the Human eye there are two types of image receptor cells cones and rods. Rods are helpful for seeing the image in low light or in the dark whereas the cones work for seeing the image in different colours. Both the receptors cells are found in retina of human eye. They contain three colour pigments Red (Large Bandwidth), Green (Medium Bandwidth) and Blue (Small Bandwidth) by which we are trichromats (tri =3 chromais =colour) and able to see any object in the world because of all objects are viewable by these colour hues. Mostly the colour blindness is the genetic mutation and not to be cured. It can also get place when there is a problem related to pigments in certain nerve cells (cone) of the eye or when there would be a trauma in mind or the chemical accident by which those receptor cells got affect. In the Human vision there are different stages which describe what type of colour vision deficiency the people have. Monochromacy (1%): Total colour blinded Dichromacy (10%): Partial colour blinded (i) red-green colour blindness (ii) blue-yellow colour blindness. Trichromacy: Normal colour vision. The Dichromacy, this type of colour blindness mostly people have. So correcting it, a new filter is developed in the image processing on the basis of Ishihara colour test. It works successfully as per tested it many time. In this filter adjusting, contrast stretching and inverting function are used for providing better result and it does. By applying this new filter the normal and as well colour vision deficient people easily recognise the objects whether they are of any of shape, number or alphabets.",
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"affiliation": "ABV-Indian Institute of Information, Technology & Management, Morena Link, Road, Gwalior, India-474015",
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"abstract": "The underwater vision is highly spoiled by the underwater degradation effects. As light propagates in the water or other participative mediums, it suffers from a substantial scattering effect that produces poor image quality. Based on a physical model that describes this phenomenon it is possible to recover an haze-free image. But, for this procedure to succeed, it is necessary to obtain certain parameters from the model. With an adaptation of the Dark Channel Prior, proposed by this paper, we are able to obtain a rough distance map estimative. With this, and some model simplifications, we are able to successfully obtain the restoration of the image.",
"abstracts": [
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"content": "The underwater vision is highly spoiled by the underwater degradation effects. As light propagates in the water or other participative mediums, it suffers from a substantial scattering effect that produces poor image quality. Based on a physical model that describes this phenomenon it is possible to recover an haze-free image. But, for this procedure to succeed, it is necessary to obtain certain parameters from the model. With an adaptation of the Dark Channel Prior, proposed by this paper, we are able to obtain a rough distance map estimative. With this, and some model simplifications, we are able to successfully obtain the restoration of the image.",
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"affiliation": "Centro de Cienc. Computacionais, Univ. Fed. do Rio Grande, Rio Grande, Brazil",
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"affiliation": "Centro de Cienc. Computacionais, Univ. Fed. do Rio Grande, Rio Grande, Brazil",
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"affiliation": "Centro de Cienc. Computacionais, Univ. Fed. do Rio Grande, Rio Grande, Brazil",
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"affiliation": "Centro de Cienc. Computacionais, Univ. Fed. do Rio Grande, Rio Grande, Brazil",
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"abstract": "In segmentation we basically partition the image into various regions so that we can have particular region of interest. Color segmentation is basically used in many computer vision applications such as face recognition, object recognition etc Here we are providing the method for doing color segmentation of still and moving images over RGB (Red, Green, Blue) color space, selecting the seed automatically comparing it with the neighborhood pixels until the threshold wish we have consider a numeric non-negative value. Aim is to provide better color segmentation for the image having multiple colors, images with light colors, images with multiple objects, images with irregular shaped objects. To convert an image into a portrait by the term portrait we mean that providing realistic painting view to color image which identify and segment the image into various regions of different colors. Identifying various colors in the image and providing better color segmentation to a still and moving objects. To remove unwanted noise, better edge detection and convert a movie clip into an animation by working over RGB color space and giving the artistic effect to an image.",
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"title": "2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
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"abstract": "Pigment separation algorithms based on independent component analysis (ICA) have been proposed. Their key limitation lies in not only the lack of robust estimation of skin pigmentation, melanin and hemoglobin, under different illumination, but also the inefficiency of the algorithm. In this paper, we propose a new method for estimating the concentration of skin pigmentation, combining with the known color constancy algorithm which is applied to the skin image as the preprocessing to remove the color interference from illumination. And as an improvement of the conventional pigment separation algorithm, we propose a new verification rule of pure color intensities matrix, discarding the complex computations of distinguishing the vectors of the pure color intensities matrix which correspond to melanin and hemoglobin components. Finally, we qualitatively evaluate the concentration distribution corresponding to melanin and hemoglobin, and compare the results of before and after using the color constancy algorithm. The experiments show that our algorithm obtains comparable results as the state-of-the-art pigment separation methods with the merit of higher efficiency and robustness against change in illumination.",
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"content": "Pigment separation algorithms based on independent component analysis (ICA) have been proposed. Their key limitation lies in not only the lack of robust estimation of skin pigmentation, melanin and hemoglobin, under different illumination, but also the inefficiency of the algorithm. In this paper, we propose a new method for estimating the concentration of skin pigmentation, combining with the known color constancy algorithm which is applied to the skin image as the preprocessing to remove the color interference from illumination. And as an improvement of the conventional pigment separation algorithm, we propose a new verification rule of pure color intensities matrix, discarding the complex computations of distinguishing the vectors of the pure color intensities matrix which correspond to melanin and hemoglobin components. Finally, we qualitatively evaluate the concentration distribution corresponding to melanin and hemoglobin, and compare the results of before and after using the color constancy algorithm. The experiments show that our algorithm obtains comparable results as the state-of-the-art pigment separation methods with the merit of higher efficiency and robustness against change in illumination.",
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"abstract": "With the motivation to capture the moments of splendor and to represent the brilliance of scenic world, this paper proposes a new form of sound art, \"sound based scenery painting\". Based on the principles of arranging pigments and sound, high speed photography technique is utilized to paint the scenery though the medium of sound. The emphasis is to control the shape of color liquid, which makes this study distinguished from the existing water sound figures. By combining art with technology, this work enables viewers to better appreciate the eternity contained in the sound based scenery grasped in the blinking of an eye.",
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"content": "With the motivation to capture the moments of splendor and to represent the brilliance of scenic world, this paper proposes a new form of sound art, \"sound based scenery painting\". Based on the principles of arranging pigments and sound, high speed photography technique is utilized to paint the scenery though the medium of sound. The emphasis is to control the shape of color liquid, which makes this study distinguished from the existing water sound figures. By combining art with technology, this work enables viewers to better appreciate the eternity contained in the sound based scenery grasped in the blinking of an eye.",
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"abstract": "Individuals could be differentiated by biometric characteristics. Arm is an emerging biometric which contains rich skin and vein distribution information. However, when acquiring arm pictures, there may exist motion blur which will cause image degradation and further deteriorate recognition accuracy. Also, different from natural scene images, vein information is hard to recover from deblurring. To solve the problems above, we present an attention-based deep learning method for arm image motion deblurring. Firstly, in order to recover more vein details, we use the near-infrared (NIR) image of the corresponding RGB arm image as a priori of vein location. Secondly, since we found more information distributes in the R channel of RGB arm images, we use channel attention blocks to further improve the recovery of blurred arm images. Our method performs better than the SOTA algorithms in terms of vein detail recovery and the accuracy of authentic verification.",
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"title": "Study on Digital Chromatography of Fahai Temple Frescoes in Ming Dynasty Based on Visualization",
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"abstract": "As a historical and cultural heritage, Chinese traditional mural art is not only the precious heritage of Chinese civilization, but also the shared wealth of world culture. Up to now, the original material resources of fresco art are very limited, some of them have entered the situation that the pictures and colors are diffuse and need to be protected urgently. In the “Outline of Chinese Frescoes' History”, the first temple frescoes of the Ming Dynasty mentioned is frescoes of the Fahai Temple which was painted by the palace painters. Especially, the painting style and color style of the frescoes of it, such as Bluegreen Fine Brushwork and Leaching Powder and Pasting Gold\" (\"Li Fen Tie Jin\"), have obvious artistic characteristics and color research value compared with Dunhuang frescoes and Yongle Palace's. Taking the fresco color of Fahai Temple as the object of practice, it is of positive significance to explore whether it expands the national chromatography range, protects the fresco itself digitally, or expresses and deduces scientifically and visually based on this color. On this basis, this paper takes mural color as the research object, through the cross-study and analysis of aesthetics, fine arts, information design, history, religions, computer graphics and other disciplines, tries to establish the digital map of mural color in Fahai Temple, and on this basis, tries to build a theoretical model and practice based on the application of digital dynamic deduction of cultural heritage color. Further more, it will provide interdisciplinary research paths and exploration experience for the digital display, dissemination and promotion for traditional color and its re-application.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As a historical and cultural heritage, Chinese traditional mural art is not only the precious heritage of Chinese civilization, but also the shared wealth of world culture. Up to now, the original material resources of fresco art are very limited, some of them have entered the situation that the pictures and colors are diffuse and need to be protected urgently. In the “Outline of Chinese Frescoes' History”, the first temple frescoes of the Ming Dynasty mentioned is frescoes of the Fahai Temple which was painted by the palace painters. Especially, the painting style and color style of the frescoes of it, such as Bluegreen Fine Brushwork and Leaching Powder and Pasting Gold\" (\"Li Fen Tie Jin\"), have obvious artistic characteristics and color research value compared with Dunhuang frescoes and Yongle Palace's. Taking the fresco color of Fahai Temple as the object of practice, it is of positive significance to explore whether it expands the national chromatography range, protects the fresco itself digitally, or expresses and deduces scientifically and visually based on this color. On this basis, this paper takes mural color as the research object, through the cross-study and analysis of aesthetics, fine arts, information design, history, religions, computer graphics and other disciplines, tries to establish the digital map of mural color in Fahai Temple, and on this basis, tries to build a theoretical model and practice based on the application of digital dynamic deduction of cultural heritage color. Further more, it will provide interdisciplinary research paths and exploration experience for the digital display, dissemination and promotion for traditional color and its re-application.",
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"normalizedAbstract": "As a historical and cultural heritage, Chinese traditional mural art is not only the precious heritage of Chinese civilization, but also the shared wealth of world culture. Up to now, the original material resources of fresco art are very limited, some of them have entered the situation that the pictures and colors are diffuse and need to be protected urgently. In the “Outline of Chinese Frescoes' History”, the first temple frescoes of the Ming Dynasty mentioned is frescoes of the Fahai Temple which was painted by the palace painters. Especially, the painting style and color style of the frescoes of it, such as Bluegreen Fine Brushwork and Leaching Powder and Pasting Gold\" (\"Li Fen Tie Jin\"), have obvious artistic characteristics and color research value compared with Dunhuang frescoes and Yongle Palace's. Taking the fresco color of Fahai Temple as the object of practice, it is of positive significance to explore whether it expands the national chromatography range, protects the fresco itself digitally, or expresses and deduces scientifically and visually based on this color. On this basis, this paper takes mural color as the research object, through the cross-study and analysis of aesthetics, fine arts, information design, history, religions, computer graphics and other disciplines, tries to establish the digital map of mural color in Fahai Temple, and on this basis, tries to build a theoretical model and practice based on the application of digital dynamic deduction of cultural heritage color. Further more, it will provide interdisciplinary research paths and exploration experience for the digital display, dissemination and promotion for traditional color and its re-application.",
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"Digital Chromatography Fresco Colors Visualization Frescoes Of Fahai Temple X 0022 Drawing Color According To Type X 0022 Coloring With Class"
],
"authors": [
{
"affiliation": "Capital Normal University, Beijing, China",
"fullName": "Yali Zhang",
"givenName": "Yali",
"surname": "Zhang",
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{
"affiliation": "Tsinghua University",
"fullName": "Yingqing Xu",
"givenName": "Yingqing",
"surname": "Xu",
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{
"affiliation": "Capital Normal University, Beijing, China",
"fullName": "Shufan Li",
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"affiliation": "Capital Normal University, Beijing, China",
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"abstract": "Big data analytics pipeline often naturally involves the components with different programming language, various programming models, etc. And it presents steep learning curve not only on developing the tools but also on using them. Building a user friendly interface can hide these usage complexities, and provide a easy way to get the insights out of data. It's a challenging task to link those components together to make a smooth end-to-end workflow. Apache Zeppelin provides native support on multiple language and data processing backends so that different workflow components can be linked together on Zeppelin's framework. We developed a web interface for analyzing High Performance Computing data center scheduler log data through Apache Zeppelin's support on AngularJS, Spark, Python and Batch. An interactive PACE-Fast Analysis of Computational Trends (PACE-FACT) environment is built on the extension of our previous work, this environment seamlessly puts multiple log data analysis and visualization components together, and it allows to visualize the result data interactively without dealing with cumbersome command line user interface. In this work, we demonstrate that software ranking and analysis can be done through web GUI with user specified date range. And this system will be used in Georgia Institute of Technology (Georgia Tech)'s high performance computing (HPC) PACE center.",
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"content": "With the advance of distributed computing, workflows are widely used in the process of scientific discovery. To satisfy the increasing demands for more complicated science workflows, many workflow engines are developed on top of the batch scheduling systems, such as HTCondor. The workflow is commonly represented as a directed acyclic graph (DAG) without loops. However, none of the existing workflow engines can support workflow containing loops, which is not unusual in modern scientific applications. To address the above limitation, we propose two methods including loop unrolling and recursive DAG to transform loopy workflows into DAGs without loops. In addition, we develop L-DAG, a tool that can automatically transform a loopy workflow defined in Extensible Markup Language (XML) into DAG running on HTCondor DAGMan. We evaluate our methods for supporting loopy workflows from various aspects such as performance and storage overhead. We also provide a case study with real-world workflow in aviation application.",
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"abstract": "Novice users face significant challenges while installing and using Python packages in an HPC environment. Due to the inherent design of tools like Pip and Conda and how packages look for libraries, installing Python packages as a non-root user is complicated and often leads to broken packages with conflicting dependencies. With the growing popularity of Python in the HPC community, supporting users with their package installation needs is an evolving issue for the HPC center staff. In this paper, we present the design and implementation of conda-env-mod-a tool for simplifying the installation and use of Python packages in HPC clusters. conda-env-mod simplifies and streamlines the creation of virtual environments and provides users with environment modules for activating the environments. Users can install individual packages into isolated environments reducing chances of conflict (both current and future) and can activate multiple environments using modules as needed. After users load necessary modules, they can simply run pip and conda to install packages just like they would on their desktop. It also helps create Jupyter kernels and allows users to use external packages in a central JupyterHub installation with ease. conda-env-mod hides the complexity of configuring the package managers and setting up the users' runtime environments and, thereby, reduces the barriers for novice Python users. Over the last three months (June-August, 2020), more than 160 users have used conda-env-mod to install and manage custom Python packages, while our deep learning package installations, facilitated by conda-env-mod, have been used by 60 plus users.",
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"content": "Novice users face significant challenges while installing and using Python packages in an HPC environment. Due to the inherent design of tools like Pip and Conda and how packages look for libraries, installing Python packages as a non-root user is complicated and often leads to broken packages with conflicting dependencies. With the growing popularity of Python in the HPC community, supporting users with their package installation needs is an evolving issue for the HPC center staff. In this paper, we present the design and implementation of conda-env-mod-a tool for simplifying the installation and use of Python packages in HPC clusters. conda-env-mod simplifies and streamlines the creation of virtual environments and provides users with environment modules for activating the environments. Users can install individual packages into isolated environments reducing chances of conflict (both current and future) and can activate multiple environments using modules as needed. After users load necessary modules, they can simply run pip and conda to install packages just like they would on their desktop. It also helps create Jupyter kernels and allows users to use external packages in a central JupyterHub installation with ease. conda-env-mod hides the complexity of configuring the package managers and setting up the users' runtime environments and, thereby, reduces the barriers for novice Python users. Over the last three months (June-August, 2020), more than 160 users have used conda-env-mod to install and manage custom Python packages, while our deep learning package installations, facilitated by conda-env-mod, have been used by 60 plus users.",
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