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检索条件"任意字段=2014 IEEE International Conference on Progress in Informatics and Computing"

共 1846 条记录，以下是1561-1570 订阅

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An Innovation Capability Evaluation Model Based on AHP and Training Strategy of College Students

An Innovation Capability Evaluation Model Based on AHP and T...

引用

2014 ieee international conference on Service Operations and Logistics,and informatics

作者： Li Li School of Economics and Management Tianjin University of Science ＆ Technology

As we all know,innovation is an inexhaustible driving force for social progress and technological *** higher education carrying train qualified person to meet the social demand,an important task it must face is innovation *** paper has determined the capacity of research and innovation through 15 universities investigation,they are learning ability,practical ability and innovation *** the help of AHP to build evaluation model of college students’ability to innovate,and to determine the weight of each indicator,and on this basis,the paper pointed out the universities need to establish a social demand,build practice platform,developed to enhance research and innovation capacity of university students new initiatives.

关键词： research and innovation capacity evaluation index empirical analysis

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Identifying the Development Trend of ARM-based Server Ecosystem Using Linux Kernels

Identifying the Development Trend of ARM-based Server Ecosys...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Zhuoyao Wang Changguo Guo Zhipeng Fu Shazhou Yang Peng Cheng Laboratory Center for Cyberspace Security Shenzhen China College of Computer Science and Technology National University of Defense Technology Changsha China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

In the last couple of years ARM-based servers have been gradually adopted by cloud service providers and utilized in the data centers. Such tendency may provide great business opportunities for various companies in the industry. Hence, the ability to timely track the development trend of the ARM-based server ecosystem (ASE) from technical perspective is of great importance. In this paper the level of development of the ASE is quantitatively assessed based on open-source data analysis. In particular, statistical data is extracted from 42 Linux kernels to analyze the development process of the ASE. Furthermore, an estimate of the development trend of the ASE in the next 10 years is made based on the statistical data. The estimated results provide insight on when the ASE may become as mature as today's x86-based server ecosystem.

关键词： Linux Ecosystems Market research Servers Kernel informatics Open source software

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Green Task Scheduling Algorithms with Energy Reduction on Heterogeneous Computers

Green Task Scheduling Algorithms with Energy Reduction on He...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Luna Mingyi Zhang The Center for Advanced Studies in Science,Math and Technology at Wheeler High School 375 Holt Road Marietta,Georgia 30068,USA Keqin Li Department of Computer Science State University of New York at New Paltz Faculty Office Building N-3,1 Hawk Drive New Paltz,New York 12561,USA. Yan-Qing Zhang~* Department of Computer Science Georgia State University P.O.Box 3994 Atlanta,GA 30302-3994,USA

Two traditional heuristic task scheduling algorithms (STFCMEF-MS algorithm and LTFCMEF-MS algorithm) are developed to solve a multi-task scheduling problem on multiple computers to reduce energy consumption and finish required tasks before a *** new green task scheduling algorithms(STFCMEF-SA algorithm and LTFCMEF-SA algorithm) are proposed to solve the same *** the energy is directly proportional to the number of instructions for each computer at a particular speed,the energy slope(a newly defined technical term) is a *** results indicate that STFCMEF-SA algorithm and LTFCMEF-SA algorithm are more effective than STFCMEF-MS algorithm and LTFCMEF-MS algorithm in lowering energy *** work includes more theoretical analysis and more novel algorithms.

关键词： Green computing Task Scheduling Energy Reduction Power-Aware Methods Multi-Computer Scheduling

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A Robust Traffic Driver Face Detection Method

A Robust Traffic Driver Face Detection Method

引用

2016 ieee international conference on progress in informatics and computing

作者： Dechao Luo Xiaobo Lu Changhui Hu Xiang Peng Wei Wang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

Face detection technology is a hot topic in the past recent years. It has been maturely applied to many practical areas. However, the driver face detection is still an open problem to solve. In this paper, we proposed an improved method to promote the face detection rate and apply it to the images from the monitoring videos. The first step is to detect the car from the images according to an off-line learning method. Then the method based on additional off-line learning method is the front level for skin color feature in order to correctly detect the driver face. The proposed systems are implemented on the various complicated road environment. The results show that the proposed method improves the efficiency of the driver face detection and is of strong robustness on having glasses, driver head rotation, and lighting change.

关键词： car detection driver face detection skin color feature Haar-like feature Adaboost

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A Routing Scheme Based on Spray-and-Wait and Connecting-Capability of Node

A Routing Scheme Based on Spray-and-Wait and Connecting-Capa...

引用

2016 ieee international conference on progress in informatics and computing

作者： Guizhu Wang Hui Zhang Dong Pan Jian Tao Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University

DTNs overcome the problems associated with intermittent connectivity, long or variable delay, asymmetric data rates, and high error rates by using store-carry-forward message switching. In DTNs, a node is an entity with a bundle layer. A node may be a host, router, or gateway(or some combination)acting as a source, destination, or forwarder of bundles. In addition, the performance of node shows great differences. However,the previous DTN routings show blindly and randomly, which do not measure the performance of node when they forward messages. To deal with this issue, we present the concept of Node Connection Intensity(NCI) and Node Connection Stability(NCS), then propose a routing scheme based on Spray-and-Wait and Connecting-Capability of Node(SW-CCN), which evaluate relay node's forward capability synthetically according to the NCI and the NCS. The SW-CCN routing can allocate message replications dynamically and solve the problem of selecting the relay node blindly. Compared with the classical routing protocols, the simulation results show that the proposed algorithm can significantly enhance delivery rate and improve network performance.

关键词： DTNs Node Connection Intensity Node Connection Stability

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An Effective Statistical Test Suite for Pseudorandom number Generators in Digital Signatures and Security Robustness Evaluation including a Wavelet Test for Randomness

An Effective Statistical Test Suite for Pseudorandom number ...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Dimitrios A. Karras National & Kapodistrian University of Athens (NKUA) Greece

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

The need for random and pseudorandom numbers arises in many cryptographic applications including digital signatures management. For instance, common cryptosystems employ keys that must be generated in a random fashion. Many cryptographic protocols also require random or pseudorandom inputs at various points, e.g., for auxiliary quantities used in generating digital signatures, or for generating challenges in authentication protocols. A suitable set of statistical tests for randomness of message digests (MD5, SHA) and digital signatures DSA algorithms is outlined and evaluated in this paper based mainly on the revisions of National Institute of Standards and Technology (NIST) procedures in detecting deviations of a binary sequence from randomness. Although such an analysis exists for AES standard there is no similar study for message digests or digital signatures. The contribution of this paper lies in the attempt to fill in this gap from an educational point of view, providing relevant plots of the derived sequences, as well as to introduce a novel Discrete Wavelet Transform Test for Randomness.

关键词： NIST Robustness Generators Cryptography informatics Digital signatures Standards

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Block Proposer Election Method Based on Verifiable Random Function in Consensus Mechanism

Block Proposer Election Method Based on Verifiable Random Fu...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Hui Wang Wenan Tan Nanjing University of Aeronautics and Astronautics Nanjing China Shanghai polytechnic University Shanghai China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

The consensus mechanism, as one of the most important technologies of the blockchain, always faces the balance of security, efficiency and consistency. The generation of block proposer in the existing consensus algorithm is predictive, and the target of malicious nodes is clear. In response to these problems, this paper introduces a non-interactive verifiable random node extraction method, using a verifiable random function (VRF) to randomly generate block proposer. This method makes it impossible to know the identity of key nodes before the proposal block is broadcast, and realizes the unpredictability and verifiability of the node identity. At the same time, the reputation model in this article is constructed to adjust node status dynamically, and to select nodes with higher credibility to form a consensus group. Analysis and experiments show that the optimized consensus algorithm has higher security and reliability, and the influence of malicious nodes on the system delay is negligible. Simultaneously, It can play better performance in systems where malicious nodes exist.

关键词： Voting Consensus algorithm Security Reliability Proposals informatics Faces

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Conditional Random Field in the Application of the Product Feature Extraction

Conditional Random Field in the Application of the Product F...

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2016 ieee international conference on progress in informatics and computing

作者： Heng Zhang Yiqing Qin Xueqiang LV School of computing Beijing Information Science and Technology University Beijing Key Laboratory of Internet Culture and Digital Dissemination Research Beijing Information Science and Technology University

Extracted product features from user comments is the basis of fine-grained sentiment analysis, it is of great significance for manufacturers and users. Faced with product feature extraction accuracy is not high, firstly, the paper use the method of conditional random field(CRF) to identify the nominal information;Then, through the map of product feature make display semantic merge for product features, and FP-growth algorithm is used to extract the product feature candidate set;Finally, using TF-IDF and Text Rank collaborative to filter nonproduct feature. Experiments show that the proposed method has good validity and applicability. The paper use real user reviews for study, the correct rate reached 85.7%, the recall rate reached 77.5%.

关键词： product feature conditional random field Semantic merge

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Incremental Learning for Object Detection Based on Self-Supervised Learning

Incremental Learning for Object Detection Based on Self-Supe...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Haihong Sheng Jiapeng Zhang Lu Wan Zheng Huang Pengzuo Wu Qiang Wang Information Technology Department Zhejiang Huayun Information Technology Co. Ltd. Hangzhou China College of Computer Science and Technology Zhejiang University Hangzhou China

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

Incremental learning, as an approach well-suited for handling applications characterized by evolving data streams, aligns effectively with the objectives of object detection. However, existing methods exhibit suboptimal performance in addressing issues related to catastrophic forgetting and few-shot learning of new classes. Through the enhancement of existing models, we propose a novel method that integrates self-supervised learning. By employing a feature-prediction collaborative mechanism and gradient stopping techniques, the method significantly enhances the model's generalization capability for new category features while also mitigating the forgetting of old category knowledge during the incremental learning process to some extent. Experimental results demonstrate that the proposed method maintains detection performance for old categories throughout multiple incremental learning phases while simultaneously improving the learning capacity for new categories.

关键词： Incremental learning Collaboration Self-supervised learning Object detection informatics Few shot learning Streams

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Spectral Norm Normalized Network for Facial Expression Generation

Spectral Norm Normalized Network for Facial Expression Gener...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Jia Zhang Xiao Yao Yunlu Zhang Ning Xu Xiaofeng Liu Hohai University Changzhou China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

Facial expression recognition (FER) is widely studied in the area of man-machine interaction. But in the current research on expression recognition technique, the degradation of recognition performance is caused by the problem of small sample and unbalance of sample size in expression database. In this paper, we study the generation of facial expression image in generative adversarial model, focusing on the solution to meet the Lipschitz constraint. We propose to generate the facial expression images based on spectral norm normalized networks (SNN-EG). The method satisfying K-Lipschitz regular constraints, can expand the number of expression samples, enrich sample diversity, and achieve the solution for the problems of small samples and unbalanced samples. The KDEF expression dataset is validated and evaluated. Experiments show that the proposed method has a better effect on synthesis and recognition of facial expressions.

关键词： Image recognition Databases Face recognition Genetic expression informatics Optimization Man-machine systems

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