检索结果-内蒙古大学图书馆

2016 IEEE ANDESCON, ANDESCON 2016

作者： Tupac, Yvan Talavera, Alvaro Rivero, Cristian Rodriguez Computer Science School Universidad Católica San Pablo Arequipa Peru Department of Engineering Universidad Del Pacífico Lima Peru Math Research Laboratory Applied to Control Universidad Nacional de Córdoba Córdoba Argentina

ISBN: (纸本)9781509025312

In this work, a reservoir simulation approximation model (proxy) based on recurrent artificial neural networks is proposed. This model is intended to obtain rates of oil, gas and water production at time t+1 from the respective production rates, average pressure and water cut at t time and the well operation points to be applied in t + 1. Also, this model is able to follow the dynamics of the reservoir system applying online learning from real production observed values. Also, this model allows perform fast and accurate production forecasting for several steps using a recursive mechanism. This model will be inserted into an oil-production control tool to find the optimal operation conditions within a forecast horizon. The obtained outcomes over the approximation tests indicate the methodology is adequate to perform production forecasts. © 2016 IEEE.

关键词： Production control

来源：评论

学校读者我要写书评

暂无评论

The method of the scientific directions potential forecasting in infocommunication systems of an assessment of the research activity results

The method of the scientific directions potential forecastin...

引用

International Scientific-Practical Conference Problems of Infocommunications Science and Technology

作者： Andrii Biloshchytskyi Alexander Kuchansky Yurii Andrashko Svitlana Biloshchytska Anastasiia Dubnytska Vladimir Vatskel Department of technology management Taras Shevchenko National University of Kyiv Kyiv Ukraine Department of cybersecurity and computer engineering Kyiv Nat. Univ. of Construction and Archit. Ukraine Department of System Analysis and Optimization Theory Uzhhorod National University Uzhhorod Ukraine Department of informat. technol. designing and applied math Kyiv Nat. Univ. of Construction and Archit. Ukraine KNUCA Kyiv Nat. Univ. of Construction and Archit. Kyiv Ukraine

ISBN: (纸本)9781538609842

The method of the scientific directions potential forecasting in Infocommunication systems of an assessment of the research activity results is described. Formulas for calculation of forecasting for the partition of the set of scientific directions are given. Also assessments of scientific activity of scientists for previous periods are taken into account in the calculation. Linearly-weighed moving average model is applied to create the forecast of potential of the scientific directions. The method can be used for identification of the perspective directions of researches, which are formed in the scientific environment.

关键词： Forecasting Biological system modeling Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Max-Information, Differential Privacy, and Post-selection Hypothesis Testing

Max-Information, Differential Privacy, and Post-selection Hy...

引用

Annual IEEE Symposium on Foundations of computer Science

作者： Ryan Rogers Aaron Roth Adam Smith Om Thakkar Applied Math and Computational Sciences University of Pennsylvania Philadelphia PA USA Computer and Information Science University of Pennsylvania Philadelphia PA USA Computer Science and Engineering Department Pennsylvania State University University Park PA USA

ISBN: (纸本)9781509039340

In this paper, we initiate a principled study of how the generalization properties of approximate differential privacy can be used to perform adaptive hypothesis testing, while giving statistically valid p-value corrections. We do this by observing that the guarantees of algorithms with bounded approximate max-information are sufficient to correct the p-values of adaptively chosen hypotheses, and then by proving that algorithms that satisfy (∈,δ)-differential privacy have bounded approximate max information when their inputs are drawn from a product distribution. This substantially extends the known connection between differential privacy and max-information, which previously was only known to hold for (pure) (∈,0)-differential privacy. It also extends our understanding of max-information as a partially unifying measure controlling the generalization properties of adaptive data analyses. We also show a lower bound, proving that (despite the strong composition properties of max-information), when data is drawn from a product distribution, (∈,δ)-differentially private algorithms can come first in a composition with other algorithms satisfying max-information bounds, but not necessarily second if the composition is required to itself satisfy a nontrivial max-information bound. This, in particular, implies that the connection between (∈,δ)-differential privacy and max-information holds only for inputs drawn from product distributions, unlike the connection between (∈,0)-differential privacy and max-information.

关键词： Privacy Algorithm design and analysis Testing Data analysis Probability Data privacy computer science

来源：评论

学校读者我要写书评

暂无评论

Foreword

Proceedings of the 2016 International Conference on Image Pr...

引用

Proceedings of the 2016 International Conference on Image Processing, computer Vision, and Pattern Recognition, IPCV 2016 2016年

作者： Abd-Wahab, Mohd Helmy Al-Bakry, Abbas Al-Holou, Nizar Arabnia, Hamid R. Bhattacharya, Mahua Martinez Castillo, Juan Jose Daimi, Kevin Deligiannidis, Leonidas Djoudi, Lamia Atma Duong, Trung Eshaghian-Wilner, Mary Mehrnoosh Gravvanis, George A. Huang, Ruizhu Jandieri, George Kim, Byung-Gyu Kim, Tai-hoon Korovin, Iakov Lai, Guoming Lee, Hyo Jong Bin Mansor, Muhammad Naufal Marsh, Andrew Mostafaeipour, Ali Park, James J. Patil, Shashikant Ponalagusamy, R. Schaefer, Gerald Singh, Akash Solo, Ashu M.G. Swee, Sim Kok Thomas, Jaya Tinetti, Fernando G. Vladimir, Hahanov Wang, Shiuh-Jeng Yang, Mary Yoe, Hyun You, Jane Zhao, Wenbing Department of Computer Engineering University Tun Hussein Onn Malaysia Malaysia University of IT and Communications Baghdad Iraq Electrical and Computer Engineering Department IEEE/SEM-Computer Chapter University of Detroit Mercy DetroitMI United States University of Georgia United States ABV Indian Institute of Information Technology and Management MHRD Government of India India Acantelys Alan Turing Nikola Tesla Research Group and GIPEB Universidad Nacional Abierta Venezuela Computer Science and Software Engineering Programs Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States Department of Computer Information Systems Wentworth Institute of Technology BostonMA United States Synchrone Technologies France Rutgers University State University of New Jersey New Jersey United States University of Southern California California United States Electrical Engineering University of California Los Angeles Los Angeles [UCLA CA United States Advanced Scientific Computing Applied Math and Applications Research Group Applied Mathematics and Numerical Computing and Department of ECE School of Engineering Democritus University of Thrace Xanthi Greece Texas Advanced Computing Center University of Texas AustinTX United States Georgian Technical University Tbilisi Georgia Institute of Cybernetics Georgian Academy of Science Georgia Multimedia Processing CommunicationsLab.[MPCL Department of Computer Science and Engineering College of Engineering SunMoon University Korea Republic of School of Information and Computing Science University of Tasmania Australia Southern Federal University Russia Computer Science and Technology Sun Yat-Sen University Guangzhou China Center for Advanced Image and Information Technology Division of Computer Science and Engineering Chonbuk National University Korea Republic of Faculty of Engineering Technology Kampus Uniciti Alam Universiti Malaysia Perlis UniMAP Malaysi

来源：评论

学校读者我要写书评

暂无评论

Advantages of computer simulation in enhancing students’ learning about landform evolution: A case study using the grand canyon

引用

Journal of Geoscience Education 2016年第1期64卷 60-73页

作者： Luo, Wei Pelletier, Jon Duffin, Kirk Ormand, Carol Hung, Wei-Chen Shernoff, David J. Zhai, Xiaoming Iverson, Ellen Whalley, Kyle Gallaher, Courtney Furness, Walter Department of Geography Northern Illinois University Davis Hall DeKalb 60115 IL United States Department of Geosciences University of Arizona 1040 E. Fourth Street Tucson 85721 AZ United States Department of Computer Science Northern Illinois University DeKalb 60115 IL United States Science Education Resource Center Carleton College W-SERC One North College Street Northfield 55057 MN United States Department of Educational Technology Research and Assessment (ETRA) Northern Illinois University DeKalb 60115 IL United States Graduate School of Applied and Professional Psychology Rutgers University 152 Frelinghuysen Road Piscataway 08854-8020 NJ United States Engineering Math and Physical Science Division College of Lake County 19351 West Washington Street Grayslake 60030-1198 IL United States

The long geological time needed for landform development and evolution poses a challenge for understanding and appreciating the processes involved. The Web-based Interactive Landform Simulation Model—Grand Canyon (WILSIM-GC, http://***/landform/) is an educational tool designed to help students better understand such processes, using the Grand Canyon as an example. Although the project is still ongoing, here, we present the I nitial results of using the WILSIM-GC in an introductory physical geography laboratory course. We used a quasiexperimental design to assess the efficacy of WILSIM-GC as a tool for teaching landform development and evolution. Students were assigned to a control group or a treatment group, alphabetically by last name. Pretests and posttests were administered to measure students’ understanding of the concepts and processes related to Grand Canyon formation and evolution. Results show that, although both the interactive simulation and a more-traditional, paper-based exercise were effective in helping students learn landform evolution processes, there were several advantages and affordances to the simulation approach. The improvement effect from pretest to posttest scores was large for the treatment group, but small to moderate for the control group. In addition, for those questions requiring higher-level thinking, the percentage of students answering correctly was higher in the treatment group than it was in the control group. Furthermore, responses to the attitudinal survey indicate that students generally favor the interactive simulation approach. We can leverage these advantages to enhance students’ learning by integrating interactive simulation exercises into curricular materials, including materials for online or hybrid courses and flipped classrooms. © 2016 National Association of Geoscience Teachers.

关键词： Grand Canyon Landform evolution Learning Simulation model Treatment/control experiment

来源：评论

学校读者我要写书评

暂无评论

An Alternative Technique for Imaging Registration in IVUS Images

An Alternative Technique for Imaging Registration in IVUS Im...

引用

International Conference on Computational Science and Computational Intelligence (CSCI)

作者： M. A. Granero Mariana P. M. A. Baroni E. T. Costa P. I. Radeva sciences and Mathematics Department Federal Institute of Education São Paulo-SP Brazil Sci. & Math. Dept. Fed. Inst. of Educ. Sao Paulo Brazil Faculty of Electrical and Computer Engineering State University of Campinas Campinas SP Brazil Applied Mathematics and Analysis Department University of Barcelona Barcelona Spain

ISBN: (纸本)9781467397964

Image registration technique has played a major role due to the use of data from different medical imaging modalities in which your main goal is to find anatomical and/or functional matches in two or more images. SIFT algorithm was used to extract a set of descriptors in IVUS images of two different pullbacks and to determine the number of common features between each pair of images. Similarity map was created to establish correspondences between two PCI images. Our method, with saltatory condition, was proved be a good choice in the experiments and in the real case, showing great stability in the establishment of correspondences and reducing overall time used for the diagnosis and/or monitor the development of coronary heart disease.

关键词： Feature extraction Image registration Robustness Biomedical imaging Medical services Heart Image color analysis

来源：评论

学校读者我要写书评

暂无评论

Topological features for monitoring human activities at distance

Lecture Notes in Computer Science (including subseries Lectu...

引用

Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8703卷 40-51页

作者： Leon, Javier Lamar Alonso, Rául Reyes, Edel Garcia Diaz, Rocio Gonzalez Patterns Recognition Department Advanced Technologies Application Center 7th A # 21406 e/ 214 y 216 Rpto. Siboney Playa La HabanaCP 12200 Cuba Applied Math Department School of Computer Engineering University of Seville Campus Reina Mercedes Seville Spain

In this paper, a topological approach for monitoring human activities is presented. This approach makes possible to protect the person’s privacy hiding details that are not essential for processing a security alarm. First, a stack of human silhouettes, extracted by background subtraction and thresholding, are glued through their gravity centers, forming a 3D digital binary image I. Secondly, different orders of the simplices are applied on a simplicial complex obtained from I, which capture relations among the parts of the human body when walking. Finally, a topological signature is extracted from the persistence diagrams according to each order. The measure cosine is used to give a similarity value between topological signatures. In this way, the powerful topological tool known as persistent homology is novelty adapted to deal with gender classification, person identification, carrying bag detection and simple action recognition. Four experiments show the strength of the topological feature used;three of they use the CASIA-B database, and the fourth use the KTH database to present the results in the case of simple actions recognition. In the first experiment the named topological signature is evaluated, obtaining 98.8% (lateral view) of correct classification rates for gender identification. In the second one are shown results for person identification, obtaining an average of 98.5%. In the third one the result obtained is 93.8% for carrying bag detection. And in the last experiment the results were 97.7% walking and 97.5% running, which were the actions took from the KTH database. © Springer International Publishing Switzerland 2014.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Gait-based carried object detection using persistent homology 19

引用

19th Iberoamerican Congress on Pattern Recognition, CIARP 2014

作者： Lamar-Leon, Javier Baryolo, Raul Alonso Garcia-Reyes, Edel Gonzalez-Diaz, Rocio Patterns Recognition Department Advanced Technologies Application Center 7a # 21406 e/ 214 y 216 Rpto. Siboney Playa La HabanaC.P. 12200 Cuba Applied Math Dept School of Computer Engineering University of Seville Campus Reina Mercedes Seville Spain

ISBN: (纸本)9783319125671

There are surveillance scenarios where it is important to emit an alarm when a person carrying an object is detected. In order to detect when a person is carrying an object, we build models of naturally-walking and object-carrying persons using topological features. First, a stack of human silhouettes, extracted by background subtraction and thresholding, are glued through their gravity centers, forming a 3D digital image I. Second, different filters (i.e. orderings of the cells) are applied on ∂K(I) (cubical complex obtained from I) which capture relations among the parts of the human body when walking. Finally, a topological signature is extracted from the persistence diagrams according to each filter. We build some clusters of persons walking naturally, without carrying object and some clusters of persons carrying bags. We obtain vector prototypes for each cluster. Simple distances to the means are calculated for detecting the presence of carrying object. The measure cosine is used to give a similarity value between topological signatures. The accuracies obtained are 95.7% and 95.9% for naturally-walking and object-carrying respectively. © Springer International Publishing Switzerland 2014.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

On the performance of largest-deficit-first for scheduling real-time traffic in wireless networks 13

On the performance of largest-deficit-first for scheduling r...

引用

14th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2013

作者： Kang, Xiaohan Wang, Weina Jaramillo, Juan José Ying, Lei School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85287 United States Department of Applied Math and Engineering Universidad EAFIT Medellín Colombia

ISBN: (纸本)9781450321938

This paper considers the problem of scheduling real-time traffic in wireless networks. We consider an ad hoc wireless network with general interference and general one-hop traffic. Each packet is associated with a deadline and will be dropped if it is not transmitted before the deadline expires. The number of packet arrivals in each time slot and the length of a deadline are both stochastic and follow certain distributions. We only allow a fraction of packets to be dropped. At each link, we assume the link keeps track of the difference between the minimum number of packets that need to be delivered and the number of packets that are actually delivered, which we call deficit. The largest-deficit-first (LDF) policy schedules links in descending order according to their deficit values, which is a variation of the largest-queue-first (LQF) policy for non-real-time traffic. We prove that the efficiency ratio of LDF can be lower bounded by a quantity that we call the real-time local-pooling factor (R-LPF). We further prove that given a network with interference degree β, the R-LPF is at least 1/(β + 1), which in the case of the one-hop interference model translates into an R-LPF of at least 1/3.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

The δ- sensitivity and its application to stochastic optimal control of nonlinear diffusions.

The δ- sensitivity and its application to stochastic optima...

引用

American Control Conference

作者： Evangelos A. Theodorou Emo Todorov the Department of Computer Science and Engineering University of Washington Seattle. Departments of Computer Science and Engineering and Applied Math University of Washington

ISBN: (纸本)9781479901777

We provide optimal control laws by using tools from stochastic calculus of variations and the mathematical concept of δ-sensitivity. The analysis relies on logarithmic transformations of the value functions and the use of linearly solvable Partial Differential Equations(PDEs). We derive the corresponding optimal control as a function of the δ-sensitivity of the logarithmic transformation of the value function for the case of nonlinear diffusion processes affine in control and noise.

关键词： nonlinear diffusions PDEs value functions

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：