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6th Joint International Conference on Semantic Technology, JIST 2016

作者： Zhang, Xiang Lv, Yulian School of Computer Science and Engineering Southeast University Nanjing China Key Laboratory of Data Engineering and Knowledge Services Nanjing University Nanjing China Southeast University Suzhou China

ISBN: (纸本)9783319501116

Semantic association represents group relationship among objects in linked data. Searching semantic associations is complicated, which involves the search of multiple objects and the search of their group relationships simultaneously. In this paper, we propose this kind of search as a multi-target search, and we compare it to traditional search tasks, which we classify as single-target search. A novel search model is introduced, and the notion of virtual document is used to extract linguistic information of semantic associations. Multi-target search is finally fulfilled by a PageRank-like ranking scheme and a top-K selection policy considering object affinity. Experiments show that our approach is effective in improving retrieval precision on semantic associations. © Springer International Publishing AG 2016.

关键词： Linked data

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Network-coding-based video transmission via WiFi direct in local mobile networks

Network-coding-based video transmission via WiFi direct in l...

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International Conference on Intelligent System and knowledge engineering, ISKE

作者： Lei Wang Qing Wang Zhongwei Sun Jun Yin Lijie Xu Yuwang Yang Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing P.R. China School of Computer Nanjing University of Posts and Telecommunications Nanjing P.R. China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing P.R. China

It will incur high expense by sharing large-scale files (such as video) with others through commercial 4G networks. When the users are located at the same area, the traffic cost could be saved via the technology of WiFi direct. In this paper, a network-coding-based video transmission scheme is proposed for such scenario. In the scheme, when a source user needs to transmit a video to others, it equally splits the original file into multiple segments. When a neighbour connects to it and requests a segment, the user will linearly generate a new segment with all the segments it buffers, and then send the re-encoded segment to other neighbours. After the neighbours receive all or part of the segments, they could become a new source and send data to their own neighbours through the technology of WiFi direct. The results show that compared with the traditional scheme, the transmission scheme based on network coding could be used to complete transmission at a higher rate.

关键词： Switches Analytical models Network coding Streaming media Wireless fidelity Mobile handsets Mobile computing

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2018年 579卷 V页

作者： Lin, Jerry Chun-Wei Pan, Jeng-Shyang Chu, Shu-Chuan Chen, Chien-Ming School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School ShenzhenGuangdong China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology FuzhouFujian China School of Computer Science Engineering and Mathematics Flinders University Bedford Park SA Australia

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Balanced Self-Paced Learning with Feature Corruption

Balanced Self-Paced Learning with Feature Corruption

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International Joint Conference on Neural Networks

作者： Yazhou Ren Peng Zhao Zenglin Xu Dezhong Yao Big Data Research Center School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and Technology University of Electronic Science and Technology of China Chengdu 611731 China

ISBN: (纸本)9781509061839

Self-paced learning (SPL), a recently proposed learning strategy, which progressively adds instances to train from simplicity to complexity, could typically reduce the risk of achieving local optima. SPL selects instances based on their losses among the entire data set in each iteration. This probably causes that the selected instances are highly imbalanced, e.g., very few (even on) instances of some classes are chosen, and further negatively affects the training process. To address this issue, we propose a balanced self-paced learning (BSPL) scenario, which iteratively selects training samples based on their loss values from each class, instead of from the entire data set. From another perspective, learning with marginalized corrupted features is an approach to control overfitting by artificially corrupting the training data. However, feature corruption techniques typically lead to that the classification problem is non-convex and easily traps in local optima. To alleviate this, we propose balanced self-paced learning with feature corruption (BSPL-FC), which considers the instance sampling and feature corruption simultaneously. BSPL-FC first treats the feature corruption as a regularizer and then applies BSPL to solve the regularized classification problem. BSPL-FC inherently has advantages in controlling overfitting and avoiding local optima. Experimental results show the effectiveness of the proposed model.

关键词： Training Optimization Training data Logistics Adaptation models data models Support vector machines

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Deep regression forests for age estimation

arXiv

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arXiv 2017年

作者： Shen, Wei Guo, Yilu Wang, Yan Zhao, Kai Wang, Bo Yuille, Alan Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science School of Communication and Information Engineering Shanghai University Department of Computer Science Johns Hopkins University College of Computer and Control Engineering Nankai University Hikvision Research

Age estimation from facial images is typically cast as a nonlinear regression problem. The main challenge of this problem is the facial feature space w.r.t. ages is heterogeneous, due to the large variation in facial appearance across different persons of the same age and the nonstationary property of aging patterns. In this paper, we propose Deep Regression Forests (DRFs), an end-to-end model, for age estimation. DRFs connect the split nodes to a fully connected layer of a convolutional neural network (CNN) and deal with heterogeneous data by jointly learning input-dependant data partitions at the split nodes and data abstractions at the leaf nodes. This joint learning follows an alternating strategy: First, by fixing the leaf nodes, the split nodes as well as the CNN parameters are optimized by Back-propagation;Then, by fixing the split nodes, the leaf nodes are optimized by iterating a step-size free and fastconverging update rule derived from Variational Bounding. We verify the proposed DRFs on three standard age estimation benchmarks and achieve state-of-the-art results on all of them. Copyright © 2017, The Authors. All rights reserved.

关键词： Backpropagation

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Opportunities and challenges faced by digital libraries in the big data era

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Journal of Library Science in China 2016年 5-16页

作者： SU Xinning School of Information Management Jiangsu Key Laboratory of Data Engineering and Knowledge Services Nanjing University

Construction of network-based academic resources is undergoing rapid development in this big data era, displaying a trend to replace digital libraries. This challenge calls for the construction of digital libraries to have big data related considerations, i.e., from resource construction aspect, we should expand the resource scope, aggrandize the breadth of resource integration, and increase the depth of the resource organization and processing;from technology application aspect, we should attach great importance to the semantic technology, emphasize the application of clustering technology, widely adopt data analysis technology, and elevate the retrieval technology level;from service aspect, we need to enrich services and product categories of digital libraries, and convert the passive, and general service mode to the proactive and personalized mode. The construction of next generation digital libraries must differ from the traditional way. Comprehensive service ideas should be established;comprehensive resource services should be provided;the conventional service mode and transmission form also need to be expanded;even the librarians of digital libraries are required to become data analysts.

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A hybrid MILP and IPM for dynamic economic dispatch with valve point effect

arXiv

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arXiv 2017年

作者： Pan, Shanshan Jian, Jinbao Yang, Linfeng College of Electrical Engineering Guangxi University Nanning530004 China Guangxi Colleges Universities Key Laboratory Complex System Optimization and Big Data Processing Yulin Normal University Yulin537000 China College of Computer Electronics and Information Guangxi University Nanning530004 China

Dynamic economic dispatch with valve-point effect (DED-VPE) is a non-convex and non-differentiable optimization problem which is difficult to solve efficiently. In this paper, a hybrid mixed integer linear programming (MILP) and interior point method (IPM), denoted by MILP-IPM, is proposed to solve such a DED-VPE problem, where the complicated transmission loss is also included. Due to the non-differentiable characteristic of DED-VPE, the classical derivative-based optimization methods can not be used any more. With the help of model reformulation, a differentiable non-linear programming (NLP) formulation which can be directly solved by IPM is derived. However, if the DED-VPE is solved by IPM in a single step, the optimization will easily trap in a poor local optima due to its non-convex and multiple local minima characteristics. To exploit a better solution, an MILP method is required to solve the DED-VPE without transmission loss, yielding a good initial point for IPM to improve the quality of the solution. Simulation results demonstrate the validity and effectiveness of the proposed MILP-IPM in solving DED-VPE. Copyright © 2017, The Authors. All rights reserved.

关键词： Wave transmission

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Solution to dynamic economic dispatch with prohibited operating zones via MILP

arXiv

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arXiv 2017年

作者： Pan, Shanshan Jian, Jinbao Yang, Linfeng College of Electrical Engineering Guangxi University Nanning530004 China Guangxi Colleges Universities Key Laboratory of Complex System Optimization and Big Data Processing Yulin Normal University Yulin537000 China College of Computer Electronics and Information Guangxi University Nanning530004 China

Dynamic economic dispatch (DED) problem considering prohibited operating zones (POZ), ramp rate constraints, transmission losses and spinning reserve constraints is a complicated non-linear problem which is difficult to solve efficiently. In this paper, a mixed integer linear programming (MILP) method is proposed to solve such a DED problem. Firstly, a novel MILP formulation for DED problem without considering the transmission losses, denoted by MILP-1, is presented by using perspective cut reformulation technique. When the transmission losses are considered, the quadratic terms in the transmission losses are replaced by their first order Taylor expansions, and then an MILP formulation for DED considering the transmission losses, denoted by MILP-2, is obtained. Based on MILP-1 and MILP-2, an MILP-iteration algorithm (MILP-IA) is proposed to solve the complicated DED problem. The effectiveness of the MILP-1 and MILP-IA are assessed by several cases and the simulation results show that both of them can solve to competitive solutions in a short time. Copyright © 2017, The Authors. All rights reserved.

关键词： Wave transmission

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Path ω-automaton

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Journal of information Hiding and Multimedia Signal Processing 2017年第3期8卷 640-648页

作者： Jiang, Hua Zou, Fumin Lin, Rongde Li, Lingxiang Key Lab of Granular Computing Minnan Normal University ZhangzhouFujian China Beidou Navigation and Smart Traffic Innovation Center of Fujian Province FuzhouFujian China School of Mathematical Science Huaqiao university QuanzhouFujian China Fujian Provincial Key Laboratory of Big Data Mining and Applications FuzhouFujian China School of Electronics and Information Engineering Hunan University of Science and Engineering YongzhouHunan China

Automata theory is an important branch of theoretical computer science. ω-automaton is an important part of automata theory. The judgment standard for the equivalence of two automata is the equivalence of their acceptance language. Acceptance conditions for automata are expressed with state set. This paper tries to use path to express acceptance conditions for ω-automaton that is convenient for judging the automatons equivalence property and transforming between different types of automata. With the help of Path ω-automaton, Muller automaton is transformed into Büchi automaton. Compared with the existing algorithm, the state scale of Büchi automaton has been reduced and the problem of state space explosion has been relieved. The research findings in this paper contribute to enrich the existing ω-automaton theory and provide a new idea for ω-automaton theory and application research. © 2017.

关键词： Automata theory

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Task-aware power control method for multi-mode video compression system

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2016年第7期44卷 1592-1598页

作者： Cao, Qian Li, Hui-Yong Zuo, Min Jiang, Tong-Qiang Cai, Qiang Wang, Yu Beijing Key Laboratory of Big Data Technology for Food Safety School of Computer and Information Engineering Beijing Technology and Business University Beijing100048 China School of Computer Engineering Beihang University Beijing100191 China

Dynamic voltage and frequency scaling (DVFS) technique, to some extent, controls the energy consumption for embedded multi-mode real-time video compression system. Yet, continuously decreasing voltage and frequency might affect interface resource transfers and even the normal system operations. To solve the problem, we proposed a task-aware power control method in response to task variations. We first analyzed the relationship between the workloads and processor resources, and then established a task-aware resource configuration model. Based on this model, we designed an adaptive power controller, which dynamically adjusts processor frequency and the number of cores. The experiments indicate that our method fulfills function and performance requirements of multi-mode video encoding system, with power consumption for encoding a frame reduced by 11.4% compared with traditional DVFS technique. © 2016, Chinese Institute of Electronics. All right reserved.

关键词： Power control

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