Int. J. Comput. Sci. Eng.最新文献_第10页

Design of fault tolerant majority voter for error resilient TMR targeting micro to nano scale logic 针对微纳米级逻辑的容错TMR容错多数投票人设计

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-13 DOI: 10.1504/ijcse.2020.10027618

Mrinal Goswami, Subrata Chattopadhyay, Shiv Bhushan Tripathi, B. Sen

{"title":"Design of fault tolerant majority voter for error resilient TMR targeting micro to nano scale logic","authors":"Mrinal Goswami, Subrata Chattopadhyay, Shiv Bhushan Tripathi, B. Sen","doi":"10.1504/ijcse.2020.10027618","DOIUrl":"https://doi.org/10.1504/ijcse.2020.10027618","url":null,"abstract":"The shrinking size of transistors for satisfying the increasing demand for higher density and low power has made the VLSI circuits more vulnerable to faults. Therefore, new circuits in advanced VLSI technology have forced designers to use fault tolerant techniques in safety-critical applications. Also, the presence of some faults (not permanent) due to the complexity of the nanocircuit or its interaction with software results in malfunctioning of circuits. The fault tolerant scheme, where majority voter plays the core role in triple modular redundancy (TMR), is being implemented increasingly in digital systems. This work targets to implement a different fault tolerant scheme of majority voter for the implementation of TMR using quantum-dot cellular automata (QCA), viable alternative nanotechnology to CMOS VLSI. The fault masking ability of various voter designs has been analysed in details. The fault masking ratio of the proposed voter (FMV) is 66% considering single/multiple faults. Simulation results establish the validation of proposed logic in QCA which targets nano-scale devices. The proposed logic is also suitable for conventional CMOS technology, which is verified with the Cadence tool.","PeriodicalId":340410,"journal":{"name":"Int. J. Comput. Sci. Eng.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129804042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system 随机状态延迟系统的事件触发故障估计及其在直流电机系统中的应用

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-13 DOI: 10.1504/ijcse.2020.10027616

Yunji Li, Yi Gao, Quansheng Liu, Li Peng

引用次数: 1

Experimental investigation and CFD simulation of power consumption for mixing in Gyro Shaker 陀螺激振器混合功率消耗的实验研究与CFD模拟

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027422

P. A. A. Samad, P. R. Shalij

引用次数: 0

An internet-of-things-based security scheme for healthcare environment for robust location privacy 针对医疗保健环境的基于物联网的安全方案，可实现强大的位置隐私

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027435

A. Tewari, B. Gupta

引用次数: 9

The key user discovery model based on user importance calculation 基于用户重要性计算的关键用户发现模型

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027436

Xiangfeng Luo, Lei Zhang, Yawen Yi, Ruirong Xue, D. Jiang

引用次数: 2

Collaborative filtering-based recommendation system for big data 基于协同过滤的大数据推荐系统

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027426

Jian Shen, Tianqi Zhou, Lina Chen

引用次数: 29

An evolutionary algorithm for finding optimisation sequences: proposal and experiments 寻找优化序列的进化算法:建议与实验

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027432

João Fabrício Filho, Luis Gustavo Araujo Rodriguez, A. F. Silva

引用次数: 0

Multi-keywords carrier-free text steganography method based on Chinese Pinyin 基于汉语拼音的多关键词无载波文本隐写方法

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027425

Yuling Liu, Jiao Wu, Guojiang Xin

引用次数: 4

Communication optimisation for intermediate data of MapReduce computing model MapReduce计算模型中间数据的通信优化

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027428

Yunpeng Cao, Haifeng Wang

{"title":"Communication optimisation for intermediate data of MapReduce computing model","authors":"Yunpeng Cao, Haifeng Wang","doi":"10.1504/ijcse.2020.10027428","DOIUrl":"https://doi.org/10.1504/ijcse.2020.10027428","url":null,"abstract":"MapReduce is a typical computing model for processing and analysis of big data. MapReduce computing job produces a large amount of intermediate data after map phase. Massive intermediate data results in a large amount of intermediate data communication across rack switches in the Shuffle process of MapReduce computing model, this degrades the performance of heterogeneous cluster computing. In order to optimise the intermediate data communication performance of map-intensive jobs, the characteristics of pre-running scheduling information of MapReduce computing jobs are extracted, and job classification is realised by machine learning. The jobs of active intermediate data communication are mapped into a rack to keep the communication locality of intermediate data. The jobs with inactive communication are deployed to the nodes sorted by computing performance. The experimental results show that the proposed communication optimisation scheme has a good effect on Shuffle-intensive jobs, and can reach 4%–5%. In the case of larger amount of input data, the communication optimisation scheme is robust and can adapt to heterogeneous cluster. In the case of multi-user application scene, the intermediate data communication can be reduced by 4.1%.","PeriodicalId":340410,"journal":{"name":"Int. J. Comput. Sci. Eng.","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124753146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An integrated ambient intelligence system for a Smart Lab environment 用于智能实验室环境的集成环境智能系统

Int. J. Comput. Sci. Eng. Pub Date : 2020-03-06 DOI: 10.1504/ijcse.2020.10027434

Dat Do, Scott A. King, A. Sheta, Thanh Pham

{"title":"An integrated ambient intelligence system for a Smart Lab environment","authors":"Dat Do, Scott A. King, A. Sheta, Thanh Pham","doi":"10.1504/ijcse.2020.10027434","DOIUrl":"https://doi.org/10.1504/ijcse.2020.10027434","url":null,"abstract":"The goal of the ambient intelligence system is not only to enhance the way people communicate with the surrounding environment but also to advance safety measures and enrich human lives. In this paper, we introduce an integrated ambient intelligence system (IAmIS) to perceive the presence of people, identify them, determine their locations, and provide suitable interaction with them. The proposed framework can be applied in various application domains such as a smart house, authorisation, surveillance, crime prevention, and many others. The proposed system has five components: body detection and tracking, face recognition, controller, monitor system, and interaction modules. The system deploys RGB cameras and Kinect depth sensors to monitor human activity. The developed system is designed to be fast and reliable for indoor environments. The proposed IAmIS can interact directly with the environment or communicate with humans acting on the environment. Thus, the system behaves as an intelligent agent. The system has been deployed in our research lab and can recognise lab members and guests to the lab as well as track their movements and have interactions with them depending upon their identity and location within the lab.","PeriodicalId":340410,"journal":{"name":"Int. J. Comput. Sci. Eng.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125216906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0