Int. J. Embed. Syst.最新文献_第3页

A software control flow checking technique in multi-core processors 一种多核处理器软件控制流检测技术

Int. J. Embed. Syst. Pub Date : 2020-05-11 DOI: 10.1504/ijes.2020.10029450

Mohammad Reza Heidari Iman, Pejman Yaghmaie

{"title":"A software control flow checking technique in multi-core processors","authors":"Mohammad Reza Heidari Iman, Pejman Yaghmaie","doi":"10.1504/ijes.2020.10029450","DOIUrl":"https://doi.org/10.1504/ijes.2020.10029450","url":null,"abstract":"Multi-core processors can benefit performance, power consumption and level of parallelism, which is the primary reason why they are employed in safety-critical embedded systems. Nowadays the use of safety-critical multi-core embedded systems in different industries is growing significantly. In these systems, an error may result in a severe failure which can lead to disaster. In order to prevent such failure, the fault tolerance of the systems should be improved. Some of the important errors, which can cause failures, are the control flow errors changing the execution flow of a multi-core program and eventually leading to core failure. To detect them, different control flow checking techniques have been proposed, almost all of which have so far aimed to detect errors in single-core processors. In this paper, a software control flow checking technique in multi-core processors, called SCFC-MC, has been proposed wherein, in addition to executing the program, each thread monitors the execution flow of another thread, thereby eliminating every single point of failure. Experimental results show that applying SCFC-MC to a quad-core processor [Intel(R) Core(TM) i7-4710HQ] results in the detection of about 95% of control flow errors with less than 20% performance overhead.","PeriodicalId":412308,"journal":{"name":"Int. J. Embed. Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117001037","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

Hash-based and privacy-aware movie recommendations in a big data environment 在大数据环境下基于哈希和隐私的电影推荐

Int. J. Embed. Syst. Pub Date : 2020-05-11 DOI: 10.1504/ijes.2020.10025052

Tingting Shao, Xuening Chen

引用次数: 2

A robust error control coding-based watermarking algorithm for FPGA IP protection 一种基于鲁棒误差控制编码的FPGA IP保护水印算法

Int. J. Embed. Syst. Pub Date : 2020-05-11 DOI: 10.1504/ijes.2020.10029456

Zhenyu Liu, Xin Su, Dafang Zhang, Jing Long

{"title":"A robust error control coding-based watermarking algorithm for FPGA IP protection","authors":"Zhenyu Liu, Xin Su, Dafang Zhang, Jing Long","doi":"10.1504/ijes.2020.10029456","DOIUrl":"https://doi.org/10.1504/ijes.2020.10029456","url":null,"abstract":"The ownership of intellectual property (IP) for integrated circuit (IC) is difficult to identify when the watermarks are attacked and damaged in previous work. To address this issue, we propose a robust error control coding (ECC)-based watermarking algorithm for FPGA IP protection. Firstly, the Blakley threshold scheme is used to share the signature of IP user and generate watermarks. The watermarks are then encrypted and finally embedded into FPGA IP design. The signature sharing makes it unnecessary to ensure that all watermarks are reliable in authentication. The complete signature can be retrieved with several watermarks even if other watermarks are damaged. Secondly, the IP owner's image signature is used for copyright identification, and the image is shared by the threshold multi-secret sharing method to solve the resource overhead problem. The image itself is fault-tolerant. Even if the image has a bit error rate of 16.74%, the copyright content can be successfully identified. The fault tolerance of the image has greatly improved the robustness of the watermark. Experiments show that the algorithm not only has low overhead for watermark embedding, but also achieves good results in terms of robustness.","PeriodicalId":412308,"journal":{"name":"Int. J. Embed. Syst.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121102322","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

Self-adjustive DE and KELM-based image watermarking in DCT domain using fuzzy entropy 基于模糊熵的DCT域自调整DE和kelm图像水印

Int. J. Embed. Syst. Pub Date : 2020-05-11 DOI: 10.1504/ijes.2020.10029447

V. P. Vishwakarma, Varsha Sisaudia

{"title":"Self-adjustive DE and KELM-based image watermarking in DCT domain using fuzzy entropy","authors":"V. P. Vishwakarma, Varsha Sisaudia","doi":"10.1504/ijes.2020.10029447","DOIUrl":"https://doi.org/10.1504/ijes.2020.10029447","url":null,"abstract":"With advances in machine learning and development of neural networks that are efficient and accurate, this paper explores the use of kernel extreme learning machine (KELM) to develop a semi-blind watermarking technique for grey-scale images in discrete cosine transform domain. Fuzzy entropy is employed for selection of the blocks where the watermark bits are to be embedded. A dataset formed from these blocks is used to train KELM. The nonlinear regression property of KELM predicts the values where watermark bits are embedded. Self-adjustive differential evolution (SeAdDE) controls the strength of the scaling factors finds their optimal values. The adaptiveness of differential evolution (DE) helps in self-adjustment and varies the DE parameters to explore best solutions. This saves time as the manual hit and trial method for finding the appropriate parameter values is avoided. The scheme presented shows robustness against various attacks like histogram equalisation, resizing, JPEG compression, Weiner filtering, etc. and still also retains the quality of the watermarked image. Thus, the proposed technique can be used as a solution to ensure authenticity via watermarking.","PeriodicalId":412308,"journal":{"name":"Int. J. Embed. Syst.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125268221","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: 4

Design of a hand gesture recognition system based on forearm surface electromyography feedback 基于前臂表面肌电反馈的手势识别系统设计

Int. J. Embed. Syst. Pub Date : 2020-05-11 DOI: 10.1504/ijes.2020.10029453

Wei Zhuang, Yi Zhan, Yue Han, Jian Su, Chunming Gao, Dan Yang

引用次数: 0

The design and implementation of a wearable human activity recognition system based on IMU 基于IMU的可穿戴人体活动识别系统的设计与实现

Int. J. Embed. Syst. Pub Date : 2020-05-11 DOI: 10.1504/ijes.2020.10029452

Wei Zhuang, Su-li Xu, Yue Han, Jian Su, Chunming Gao, Dan Yang

引用次数: 2

Modelling performances of an autonomic router running under attack 自主路由器在攻击下的性能建模

Int. J. Embed. Syst. Pub Date : 2020-05-05 DOI: 10.1504/ijes.2020.10029276

L. Campanile, M. Gribaudo, M. Iacono, Michele Mastroianni