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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1511-1520 订阅

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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...

引用

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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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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PCCTE:A Portable Component Conformance Test Environment Based on Container Cloud for Avionics Software Development

PCCTE:A Portable Component Conformance Test Environment Base...

引用

2016 ieee international conference on progress in informatics and computing

作者： Kaiyang Lv Zhiyong Zhao Ruonan Rao Pei Hong Xin Zhang School of Software Shanghai Jiao Tong University Software Department China National Aeronautical Radio Electronics Research Institute

Large-scale complex avionics software system developed by multiple teams may lead to inconsistency issues of different architectures and various standards. The generic open software architecture for avionics system similar to Future Airborne Capability Environment(FACE) is therefore proposed. In this architecture, the portability of components is allowed through standardized interfaces between components and the software computing environment, which consists of an operating system, transport services and I/O services. The conformance test(CT) for the portable components should be automatically executed to support continuous integration. This paper presents a portal component conformance test environment(PCCTE) in which CT tasks are scheduled using event-driven policies based on a continuous integration server(such as Jenkins), and are executed in the cloud environment based on container(suck as Docker & Kubernetes) and micro-services(such as ZooKeeper). As a result, the evaluation shows that PCCTE is workable and effective.

关键词： avionics software system container cloud conformance test environment

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Spectral Norm Normalized Network for Facial Expression Generation

Spectral Norm Normalized Network for Facial Expression Gener...

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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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Benefits of Small Size Classes in Graduate Software Engineering Education

Benefits of Small Size Classes in Graduate Software Engineer...

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

作者： Emanuel S. Grant Jason M. Hicks School of Electrical Engineering and Computer Science University of North Dakota Grand Forks USA

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

Graduate education presents unique challenges for both instructors and students. One challenge is that of the graduate course enrollment numbers; wherein small size classes can be as low as one student. In such course, the use of traditional classroom lectures for the conveyance of theoretical knowledge has been known to be less effective than in large size classes. A pedagogical approach used in low enrollment graduate software engineering courses is that of a project-based approach. Project- based teaching is implemented in multiple forms. In the spring semester of 2019, a graduate-level course in software engineering formal specification methods at an institution in the US had an enrollment of one student. The prior offerings of the course facilitated: classroom style delivery of theory, team sessions for project guidance. This report documents the research depth achievable in this approach, towards the production of industrial- quality work product.

关键词： conferences Education Formal specifications Springs informatics Standards Software engineering

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Transforming Speech Translation: An End-to-End Transformer-LAS-CTC System for Chinese Dialects to Minor Languages

Transforming Speech Translation: An End-to-End Transformer-L...

引用

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

作者： Jing Wang Wenhao Fang College of Intelligent Manufacturing City College of Huizhou Huizhou China Department of Computer Science and Technology Hohai University Nanjing China

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

Speech translation involves converting spoken language from one language to text in another. However, traditional speech translation systems use a cascaded structure that has several shortcomings and defects. As global trade and economic development continue to grow, there is an increasing demand for speech translation tasks from Chinese dialects to minor languages. To tackle these issues, this paper proposes an end-to-end transformer- Las-ctcspeech translation system for converting Chinese dialects to minor language text. Traditional systems have limitations, and with globalization, there is an increasing demand for speech translation. The proposed system combines the attention mechanism with a joint LAS-CTC decoder and outperforms traditional models in convergence speed and results. It has the potential to become a useful tool for bridging language barriers and facilitating communication.

关键词： Translation Biological system modeling Computational modeling Globalization Transformers Encoding Decoding informatics Long short term memory Convergence

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The Impact of Application Mapping on Non-Random and Random Network Topologies

The Impact of Application Mapping on Non-Random and Random N...

引用

ieee international conference on Big Data and Cloud computing (BdCloud)

作者： Yao Hu Michihiro Koibuchi National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo Japan

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

Due to recent artificial intelligence (AI) technology progress, more and more applications present all-to-all, irregular or unpredictable communication patterns among compute nodes in high-performance computing (HPC) systems. Traditional communication infrastructures, e.g., torus or fat-tree interconnection networks, may not handle well their matchmaking problems with these newly emerging applications. For these typical non-random network topologies, there are already many communication-efficient application mapping algorithms. However, for the above unpredictable communication patterns, it is difficult to efficiently map their applications onto the non-random network topologies. In this case, a simple optimization is to map their applications with small diameter or average shortest path length (ASPL) among the assigned compute nodes. In this context, we recommend to use random network topologies as the communication infrastructures, which have drawn increasing attention for the use of HPC interconnects. In this study, we make a comparative study to analyze the performance impact of application mapping on non-random and random network topologies. We list several application mapping policies, and compare their job scheduling performances assuming that the communication patterns are unpredictable to the computing system. Evaluations with a large compound application workload show that, when compared to non-random topologies, random topologies can reduce the average turnaround time up to 39.3% by a random connected mapping method and up to 72.1% by a diameter/ASPL-based mapping method.

关键词： Network topology Topology Supercomputers Mesh networks Multiprocessor interconnection Processor scheduling Scheduling

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A Content-based Intelligent Label Classification System for Warehouse Management

A Content-based Intelligent Label Classification System for ...

引用

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

作者： Zaipeng Xie Yuxuan Lin Cheng Ji Weiyi Zhao Yao Liu Hohai University Nanjing China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

With the rapid development of the e-commerce business, smart warehouse management has become a critical part of the supply chain for maintaining an optimized cost in stock logistics. The managing of inventory may require substantial labors and expenses on the order fulfillment and the label classification. This paper proposes a warehouse management system that can provide the real-time categorizing service for labels based on a fastText based word text classification algorithm. In this system, a label classifier is presented to facilitate the process of classifying massive labels based on its content. In this classifier, a Huffman tree data structure have been developed and a layered softmax structure is utilized to reduce the computational complexity. Experimental results show that the proposed method is capable of processing efficient label classification tasks where the management efficiency can be improved for the economic benefits of warehouse management.

关键词： Tree data structures Supply chains Text categorization Neural networks Real-time systems Task analysis informatics

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GPS Forward Model computing Study On CPU/GPU Co-Processing Parallel System Using CUDA

GPS Forward Model Computing Study On CPU/GPU Co-Processing P...

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The 2010 ieee international conference on progress in informatics and computing

作者： Fukang Yin,Fengshun Lu,Xiaoqun Cao,Junqiang Song School of computer National University of defense technology Changsha China

Profiles of refraction and bending angle,which computed through the forward model for GPSRO(Global Positioning System radio occultation),are extremely important for GPS radio occultation data assimilation to the forecast system of NWP(Numerical Weather Prediction).The daily processing of GPS RO data in assimilation system costs amount of time,thus there is an urgent need to find a new way to reduce the computing *** is suited for many data computation- intensive task and has emerged as an inexpensive high performance co-processor because of their tremendous computing *** this paper,we demonstrate how forward model for GPS can be accelerated considerably by using throughput-oriented GPU on a standard *** implementation is based on loop unrolling,CUDA stream,SPMD, and SIMD vector parallel *** have successfully implemented the forward model on single GPU platform,and then develop a simple CPU/GPU parallel *** results on GTX 480 for a single-GPU show a speedup of up to 259 over CPU-based *** comparison to a single node,the speedup on our cluster which has three nodes is *** results demonstrate that the forward model can be high efficiently parallelized on CPU/GPU ***,it also indicates that the cluster has good scalability.

关键词： GPS RO forward model GPU Transplant CPU/GPU cluster

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