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IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Zhou-Jun Li Li-Juan Zhang Huo-Wang Chen School of Computer Science & Engineering Beihang University Beijing China National Laboratory for Parallel and Distributed Processing Changsha China

Feature (gene) selection is a frequently used preprocessing technology for successful cancer classification task in microarray gene expression data analysis. Widely used gene selection approaches are mainly focused on the filter methods. Filter methods are usually considered to be very effective and efficient for high-dimensional data. This paper reviews the existing filter methods, and shows the performance of the representative algorithms on microarray data by extensive experimental study. Surprisingly, the experimental results show that filter methods are not very effective on microarray data. We analyze the cause of the result and provide the basic ideas for potential solutions.

关键词： Filters Data analysis Classification algorithms Cancer Algorithm design and analysis computer science Data engineering Laboratories Distributed processing Gene expression

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A two-piece R-D model for hybrid video coding and its application in fast mode decision

A two-piece R-D model for hybrid video coding and its applic...

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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012

作者： Aminlou, Alireza Fahim-Hashemi, Hana Hashemi, Mahmoud Reza Gabbouj, Moncef Fatemi, Omid Multimedia Processing Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Signal Processing Tampere University of Technology Tampere Finland Viterbi School of Engineering University of Southern California Los Angeles CA United States Nano-Electronic Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9781467316590

The mode decision process has a significant effect on the quality and complexity of a video encoder. The conventional method that fully codes each macro block for different modes results in the best quality performance, but it suffers from high computational complexity. On the other hand, some other methods ignore the residual part and use the prediction data, or adopt early mode selection approaches in order to reduce the computational cost. These approaches have a negative impact on the coding performance. In this paper, we have used a simple model for the residual coding part and proposed a two-piece R-D model for a macro block. Based on this model, we have introduced a mode decision algorithm that reduces the bit-rate by up to 11.62% at the expense of just 0.5% computational overhead. © 2012 IEEE.

关键词： Cost reduction

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Fall Detection Based on Person Detection and Multi-target Tracking 11

Fall Detection Based on Person Detection and Multi-target Tr...

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11th International Conference on Information Technology in Medicine and Education, ITME 2021

作者： Xu, Teng Chen, Jian Li, Zuoyong Cai, Yuanzheng School of Electronic Electrical Engineering and Physics Fujian University of Technology Fuzhou350118 China College of Computer and Control Engineering Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou350121 China

ISBN: (纸本)9781665406796

Recently, official statistics reported that the Chinese population aged 60 and above has been 26.402 million, which accounts for 18.70% of total population. It is urgent to develop fall detection technologies for alleviating the risk causing by falling of elder person. In this paper, we propose a real-time, high-precision, and deep learning-based fall detection method with automatic person detection and tracking. Specifically, the proposed method first improves the YOLOv3 network to more efficiently detect person and extract feature maps of the object. Then, it inputs the extracted feature maps from the YOLOv3 into a multi-target tracking network for cascade matching and IOU matching in a Deep SORT algorithm, respectively. Next, it improves YOLOv5 network to detect posture anomalies. Finally, it refines the detected posture anomalies for obtaining the final fall detection result. Experimental results show that the proposed method simultaneously improves accuracy and efficiency of the fall detection. © 2021 IEEE.

关键词： Fall detection

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Integration of mobile ad hoc networks and the Internet using mobile gateways

Integration of mobile ad hoc networks and the Internet using...

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International Symposium on parallel and Distributed processing (IPDPS)

作者： H. Ammari H. El-Rewini Mobile Computing and Parallel Processing Laboratory Computer Science and Engineering Department School of Engineering Southern Methodist University Dallas TX USA Mobile Computing and Parallel Processing Lab Computer Science and Engineering Department School of Engineering Southern Methodist University Dallas TX USA

Summary form only given. Mobile ad hoc networks (MANET) and the Internet exhibit differences in their network architecture. These differences concern the various sorts of assumptions imposed not only on the structure and topology of the underlying networks, but also on communication patterns of mobile nodes in both networks. Integrating MANET and the Internet into a hybrid network is a challenging problem due to these differences. We propose a three-layer approach that uses both mobile IP and dynamic destination-sequenced distance vector (DSDV) to integrate these two types of networks into a hybrid environment, in order to provide MANET nodes with Internet connectivity and access to the Internet resources. Our approach is based on the use of mobile gateways as an interface between MANET and the Internet. These mobile gateways can use mobile IP when they communicate with the Internet and DSDV when they interact with MANET. We also show the results of several simulation experiments that were conducted to study the integrated environment.

关键词： Mobile ad hoc networks IP networks Internet Mobile computing computer networks Mobile communication Routing protocols Concurrent computing parallel processing computer science

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A multicast protocol for mobile ad hoc networks using location information

A multicast protocol for mobile ad hoc networks using locati...

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Workshop on Applications and Services in Wireless Networks, ASWN

作者： H. Ammari H. El-Rewini Mobile Computing and Parallel Processing Laboratory Computer Science and Engineering Department School of Engineering Southern Methodist University Dallas TX USA

Multicasting is a one-to-many process by wbich a node can send the same packet to a subset of nodes, called multicast group, which have already registered to the same multicast group address. The goal of this paper is to propose a multicast algorithm for mobile ad hoc networks using location information, where a multicast group is definro with respect to a specific network space area, called millticost domain. A mohile ad hoc network (MANET) is a set of nodes that agrero upon fonning a spontaneous, temporar y network so that they can communicate over wireless Iinks despite the lack of any centraIized administration and any fonn or infrastructure. The proposed algorithm benefits from the location-oriented service offered by a glohal positioning system (GPS), which provides MANET nodes (or nodes for short) with their location information when needed. Moreover, the protocol makes use of the Vorono; diagram properties in order to multicast a packet in a selective manner towards its target multicast dOmain, where ouly a small subset of nodes is involved in the forwarding process. These nodes, called authorized forwarders, are identified from the *** Voronoi graph that a multicast source node or an authorized forwarder constructs based on the location infonnation of its neighborhood as well as the target multicast domain. The analysis bas shown that fhe protocol helps minimize the transmission overhead, which would be caused during the forwarding of a multicast packet, while guaranteeing convergence and correctness. Compared to other existing location-based multicast protocols, the proposed one yields more reduction of transmission overhead and perfonns correctly even with particular MANET topologies. Keywords - Multicasting, mobile ad hoc networks, locationbased service, Voronoi diagmms, global positioning system.

关键词： Multicast protocols Mobile ad hoc networks Routing protocols Multicast algorithms Network topology Mobile computing computer networks Concurrent computing parallel processing Laboratories

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Benchmarking the task graph scheduling algorithms

Benchmarking the task graph scheduling algorithms

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International Symposium on parallel processing

作者： Y.-K. Kwok I. Ahmad Parallel Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Computer Science Hong Kong University of Science and Technology Hong Kong China

The problem of scheduling a weighted directed acyclic graph (DAG) to a set of homogeneous processors to minimize the completion time has been extensively studied. The NP-completeness of the problem has instigated researchers to propose a myriad of heuristic algorithms. While these algorithms are individually reported to be efficient, it is not clear how effective they are and how well they compare against each other. A comprehensive performance evaluation and comparison of these algorithms entails addressing a number of difficult issues. One of the issues is that a large number of scheduling algorithms are based upon radically different assumptions, making their comparison on a unified basis a rather intricate task. Another issue is that there is no standard set of benchmarks that can be used to evaluate and compare these algorithms. Furthermore, most algorithms are evaluated using small problem sizes, and it is not clear how their performance scales with the problem size. The authors first provide a taxonomy for classifying various algorithms into different categories according to their assumptions and functionalities. They then propose a set of benchmarks which are of diverse structures without being biased towards a particular scheduling technique and still allow variations in important parameters. They have evaluated 15 scheduling algorithms, and compared them using the proposed benchmarks. Based upon the design philosophies and principles behind these algorithms, they interpret the results and discuss why some algorithms perform better than the others.

关键词： Scheduling algorithm Processor scheduling parallel processing Concurrent computing Heuristic algorithms Laboratories computer science Taxonomy Algorithm design and analysis Scalability

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Power aware mapping of an RVC encoder on a many-core platform

Power aware mapping of an RVC encoder on a many-core platfor...

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Maryam Moghadas Mahmoud Reza Hashemi School of Electrical and Computer Engineering University of Tehran Iran Multimedia Processing Laboratory (MPL) at the School of Electrical and Computer Engineering University of Tehran Iran

In this paper, a power aware mapping of a reconfigurable video coding (RVC) representation of an H.264/AVC encoder on a heterogeneous many-core platform has been presented. Through this example the benefits of using RVC for flexible and future proof implementations has been highlighted. Furthermore, the low cost modeling of the power efficient mapping algorithm enables dynamic mapping of applications on many-core platforms where power is a concern. Preliminary results indicate that the mapped encoder is much more efficient in terms of power consumption without any significant impact on its performance.

关键词： Hardware Software Video coding Clocks Algorithm design and analysis Frequency domain analysis Transforms

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OSAP‐Loss:Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1191-1212页

作者： Xin Yuan Xin Xu Xiao Wang Kai Zhang Liang Liao Zheng Wang Chia‐Wen Lin School of Computer Science and Technology Wuhan University of Science and TechnologyWuhanChina Hubei Province Key Laboratory of Intelligent Information Processing and Real‐time Industrial System Wuhan University of Science and TechnologyWuhanChina Nanyang Technological University SingaporeSingapore School of Computer Science Wuhan UniversityWuhanChina Department of Electrical Engineering Industrial Technology Research InstituteNational Tsing Hua UniversityHsinchuChina

In existing remote sensing image retrieval(RSIR)datasets,the number of images among different classes varies dramatically,which leads to a severe class imbalance *** studies propose to train the model with the ranking‐based metric(e.g.,average precision[AP]),because AP is robust to class ***,current AP‐based methods overlook an important issue:only optimising samples ranking before each positive sample,which is limited by the definition of AP and is prone to local *** achieve global optimisation of AP,a novel method,namely Optimising Samples after positive ones&AP loss(OSAP‐Loss)is proposed in this ***,a novel superior ranking function is designed to make the AP loss differentiable while providing a tighter upper ***,a novel loss called Optimising Samples after Positive ones(OSP)loss is proposed to involve all positive and negative samples ranking after each positive one and to provide a more flexible optimisation strategy for each ***,a graphics processing unit memory‐free mechanism is developed to thoroughly address the non‐decomposability of AP *** experimental results on RSIR as well as conventional image retrieval datasets show the superiority and competitive performance of OSAP‐Loss compared to the state‐of‐the‐art.

关键词： computer vision image retrieval metric learning

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Minimum Redundancy Gene Selection Based on Grey Relational Analysis

Minimum Redundancy Gene Selection Based on Grey Relational A...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Li-juan Zhang Zhou-jun Li Huo-wang Chen Jian Wen National Laboratory for Parallel and Distributed Processing Changsha China School of Computer Science & Engineering Beihang University Beijing China

In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from these groups to avoid redundancy. A new gene similarity measure based on grey relational analysis (GRA), called grey relational grade (GRG), is used in clustering. Experiments on three public data sets demonstrate the effectiveness of our method

关键词： Gene expression Data analysis Laboratories Distributed processing computer science Data engineering Signal to noise ratio Mutual information Data mining Conferences

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Escalator passenger posture anomaly detection based on improved SSD model 12

Escalator passenger posture anomaly detection based on impro...

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12th International Conference on Information Technology in Medicine and Education, ITME 2022

作者： Xu, Teng Chen, Jian Li, Zuoyong Cai, Yuanzheng Fujian University of Technology School of Electronic Electrical Engineering and Physics Fuzhou350118 China Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Fuzhou350121 China

ISBN: (纸本)9798350310153

With the widespread use of escalators in daily life, escalator-related injury factors are threatening public health. To secure escalator system, most of existing studies focus on post hoc statistics and trend to fix these deficiencies to reduce escalator-related potential risks. However, they are not designed for early-stage detection of impending escalator unsafe factors. To solve this problem, this paper proposes an improved Single Shot MultiBox Detector (SSD) algorithm for anomaly detection of passenger posture on escalators. Firstly, we replace the widely used VGG16 backbone of SSD network by simpler MobileNetV2 to accelerate model inference. Secondly, the distance intersection over Union (DIoU) loss function is introduced to further improve performance. Based on the characteristics of IoU and considering the shortcomings of GIoU, DIoU directly regresses the Euclidean distance between the center points of the two boxes to accelerate the convergence. The experimental results show that the improved SSD escalator passenger posture anomaly detection algorithm can efficiently identify the dangerous posture of escalator passengers and start relevant safety protection measures. According to inference of model, the escalator system can be controlled in practice to formulate the corresponding safety protection measures, and improve the safety performance of the escalator operation. © 2022 IEEE.

关键词： Anomaly detection

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