The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Eetaek Lee - One of the best experts on this subject based on the ideXlab platform.
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an efficient control over human running animation with extension of planar hopper model
Journal of Visualization and Computer Animation, 1999Co-Authors: Youngmin Kang, Hwangue Cho, Eetaek LeeAbstract:The most important goal of character animation is to efficiently control the motions of a character. Until now, many techniques have been proposed for human gait animation. Some techniques have been created to control the emotions in gaits such as ‘tired walking’ and ‘brisk walking’ by using parameter interpolation or motion Data Mapping. Since it is very difficult to automate the control over the emotion of a motion, the emotions of a character model have been generated by creative animators. This paper proposes a human running model based on a one-legged planar hopper with a self-balancing mechanism. The proposed technique exploits genetic programming to optimize movement and can be easily adapted to various character models. We extend the energy minimization technique to generate various motions in accordance with emotional specifications. Copyright © 1999 John Wiley & Sons, Ltd.
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an efficient control over human running animation with extension of planar hopper model
Pacific Conference on Computer Graphics and Applications, 1998Co-Authors: Youngmin Kang, Sunjin Park, Eetaek LeeAbstract:The most important goal of character animation is to efficiently control the motions of a character. Until now, many techniques have been proposed for human gait animation, and some techniques have been created to control the emotions in gaits such as "tired walking" and "brisk walking" by using parameter interpolation or motion Data Mapping. Since it is very difficult to automate the control over the emotion of a motion, the emotions of a character model have been generated by creative animators. The paper proposes a human running model based on a one-leg-planar hopper with a self-balancing mechanism. The proposed technique exploits genetic programming to find an optimal movement. We extend the energy minimization technique to generate various motions in accordance with emotional specifications, for instance, "brisk running".
Barry Hooper - One of the best experts on this subject based on the ideXlab platform.
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development of city buildings Dataset for urban building energy modeling
Energy and Buildings, 2019Co-Authors: Yixing Chen, Tianzhen Hong, Xuan Luo, Barry HooperAbstract:Abstract Urban building energy modeling (UBEM) is becoming a proven tool to support energy efficiency programs for buildings in cities. Development of a city-scale Dataset of the existing building stock is a critical step of UBEM to automatically generate energy models of urban buildings and simulate their performance. This study introduces Data needs, Data standards, and Data sources to develop city building Datasets for UBEM. First, a literature review of Data needs for UBEM was conducted. Then, the capabilities of the current Data standards for city building Datasets were reviewed. Moreover, the existing public Data sources from several pioneer cites were studied to evaluate whether they are adequate to support UBEM. The results show that most cities have adequate public Data to support UBEM; however, the Data are represented in different formats without standardization, and there is a lack of common keys to make the Data Mapping easier. Finally, a case study is presented to integrate the diverse Data sources from multiple city departments of San Francisco. The Data Mapping process is introduced and discussed. It is recommended to use the unique building identifiers as the common keys in the Data sources to simplify the Data Mapping process. The integration methods and workflow are applied to other U.S. cities for developing the city-scale Datasets of their existing building stock, including San Jose, Los Angeles, and Boston.
Matthias Diener - One of the best experts on this subject based on the ideXlab platform.
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affinity based thread and Data Mapping in shared memory systems
ACM Computing Surveys, 2017Co-Authors: Matthias Diener, Eduardo H M Cruz, Marco A Z Alves, Philippe O A Navaux, Israel KorenAbstract:Shared memory architectures have recently experienced a large increase in thread-level parallelism, leading to complex memory hierarchies with multiple cache memory levels and memory controllers. These new designs created a Non-Uniform Memory Access (NUMA) behavior, where the performance and energy consumption of memory accesses depend on the place where the Data is located in the memory hierarchy. Accesses to local caches or memory controllers are generally more efficient than accesses to remote ones. A common way to improve the locality and balance of memory accesses is to determine the Mapping of threads to cores and Data to memory controllers based on the affinity between threads and Data. Such Mapping techniques can operate at different hardware and software levels, which impacts their complexity, applicability, and the resulting performance and energy consumption gains. In this article, we introduce a taxonomy to classify different Mapping mechanisms and provide a comprehensive overview of existing solutions.
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hardware assisted thread and Data Mapping in hierarchical multicore architectures
ACM Transactions on Architecture and Code Optimization, 2016Co-Authors: Eduardo H M Cruz, Matthias Diener, Laercio Lima Pilla, Philippe O A NavauxAbstract:The performance and energy efficiency of modern architectures depend on memory locality, which can be improved by thread and Data Mappings considering the memory access behavior of parallel applications. In this article, we propose intense pages Mapping, a mechanism that analyzes the memory access behavior using information about the time the entry of each page resides in the translation lookaside buffer. It provides accurate information with a very low overhead. We present experimental results with simulation and real machines, with average performance improvements of 13.7p and energy savings of 4.4p, which come from reductions in cache misses and interconnection traffic.
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kernel based thread and Data Mapping for improved memory affinity
IEEE Transactions on Parallel and Distributed Systems, 2016Co-Authors: Matthias Diener, Eduardo H M Cruz, Marco A Z Alves, Philippe O A Navaux, Anselm Busse, Hansulrich HeissAbstract:Reducing the cost of memory accesses, both in terms of performance and energy consumption, is a major challenge in shared-memory architectures. Modern systems have deep and complex memory hierarchies with multiple cache levels and memory controllers, leading to a Non-Uniform Memory Access (NUMA) behavior. In such systems, there are two ways to improve the memory affinity: First, by Mapping threads that share Data to cores with a shared cache, cache usage and communication performance are optimized. Second, by Mapping memory pages to memory controllers that perform the most accesses to them and are not overloaded, the average cost of accesses is reduced. We call these two techniques thread Mapping and Data Mapping, respectively. Thread and Data Mapping should be performed in an integrated way to achieve a compounding effect that results in higher improvements overall. Previous work in this area requires expensive tracing operations to perform the Mapping, or require changes to the hardware or to the parallel application. In this paper, we propose kMAF, a mechanism that performs integrated thread and Data Mapping in the kernel. kMAF uses the page faults of parallel applications to characterize their memory access behavior and performs the Mapping during the execution of the application based on the detected behavior. In an evaluation with a large set of parallel benchmarks executing on three NUMA architectures, kMAF achieved substantial performance and energy efficiency improvements, close to an Oracle-based mechanism and significantly higher than previous proposals.
Ryu Ogawa - One of the best experts on this subject based on the ideXlab platform.
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K (2009) Pathway Projector: Web-based Zoomable Pathway Browser using KEGG Atlas and Google
2016Co-Authors: Nobuaki Kono, Ryu Ogawa, Kazuharu Arakawa, Nobuhiro Kido, Kazuki Oshita, Keita Ikegami, Tamaki Masaru TomitaAbstract:Background: Biochemical pathways provide an essential context for understanding comprehensive experimental Data and the systematic workings of a cell. Therefore, the availability of online pathway browsers will facilitate post-genomic research, just as genome browsers have contributed to genomics. Many pathway maps have been provided online as part of public pathway Databases. Most of these maps, however, function as the gateway interface to a specific Database, and the comprehensiveness of their represented entities, Data Mapping capabilities, and user interfaces are not always sufficient for generic usage. Methodology/Principal Findings: We have identified five central requirements for a pathway browser: (1) availability of large integrated maps showing genes, enzymes, and metabolites; (2) comprehensive search features and Data access; (3) Data Mapping for transcriptomic, proteomic, and metabolomic experiments, as well as the ability to edit and annotate pathway maps; (4) easy exchange of pathway Data; and (5) intuitive user experience without the requirement for installation and regular maintenance. According to these requirements, we have evaluated existing pathway Databases and tools and implemented a web-based pathway browser named Pathway Projector as a solution. Conclusions/Significance: Pathway Projector provides integrated pathway maps that are based upon the KEGG Atlas, with the addition of nodes for genes and enzymes, and is implemented as a scalable, zoomable map utilizing the Google Maps API. Users can search pathway-related Data using keywords, molecular weights, nucleotide sequences, and amino acid sequences, or as possible routes between compounds. In addition, experimental Data from transcriptomic, proteomic, and metabolomic analyses can be readily mapped. Pathway Projector is freely available for academic users a
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Web-based Zoomable Pathway Browser Web-based Zoomable Pathway Browser using KEGG Atlas and Google Maps API
2015Co-Authors: Nobuaki Kono, Kazuharu Arakawa Nobuhiro Kido, Ryu OgawaAbstract:Biological pathways provide a systematic context in the interpretation of the huge masses of “omics ” Data. Traditional pathway maps available in public web Databases used to be static and subdivided into individual pathways, but recent web technologies allows the interactive use of global maps via zoomable user interface (ZUI) and AJAX (Asynchronous XML and Javascript) web development paradigm. Here we introduce a web-based zoomable pathway browser using the global metabolic pathway map of KEGG Atlas and Google Maps API for ZUI. This web application allows numerous interactive queries and Data mining, as well as Data Mapping from metabolome, proteome, and transcriptome experimentas
Lynda Wyld - One of the best experts on this subject based on the ideXlab platform.
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Variations in Training of Surgical Oncologists: Proposal for a Global Curriculum.
Annals of Surgical Oncology, 2016Co-Authors: A. Caniglia, M. Malik, C. Cummings, C. Lecoq, Russell S. Berman, Riccardo A. Audisio, Lynda WyldAbstract:Background The global cancer burden is predicted to rise significantly over the next few decades. While there are several barriers to providing optimal cancer care on the global stage, some are related to the absence of an adequately trained workforce. This could be attributed in part to the significant global variations in the training of surgical oncology professionals. There are currently no published Data Mapping the training pathways for surgical oncologists for all countries in the world. The aims of this descriptive article are to report on the training paradigms in surgical oncology for all countries in the world, and to correlate the influence of economic standing on these training paradigms.
