2017 9th International Conference on Computational Intelligence and Communication Networks (CICN)最新文献_第5页

On utilizing rust programming language for Internet of Things 浅谈rust编程语言在物联网中的应用

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI: 10.1109/CICN.2017.8319363

Tunç Uzlu, E. Saykol

{"title":"On utilizing rust programming language for Internet of Things","authors":"Tunç Uzlu, E. Saykol","doi":"10.1109/CICN.2017.8319363","DOIUrl":"https://doi.org/10.1109/CICN.2017.8319363","url":null,"abstract":"Rust, as being a systems programming language, offers memory safety with zero cost and without any runtime penalty like high level languages while providing complete memory safety unlike others like C, C++ or Cyclone. Todays world is in a transition from dumb devices to smart devices that are connected to the Internet all the time. Low cost embedded hardware is a key element for this kind of devices. Software needs to be smaller, lighter and power efficient. How one can operate with such limited hardware while preserving reliability? At the end, high level designs require runtime penalties while low level designs are known for memory unsafety and complicated design paradigms. Rust is higher level than other systems programming languages, has a rich standard library and compile-time abstractions for blazingly fast execution. While being completely available in mobile world, Internet of Things (IoT) devices are to be operated by all known mobile hardware as well. To this end, Rust, pushes limits of systems programming for two different views; first, at the core of hardware, running as daemon and talking to firmware, second, as a mobile controller software talking to mobile operating system. In this study, we summarize some concepts, employed in Rust, in terms of embedded systems development to clarify the appropriateness of using Rust within IoT world.","PeriodicalId":339750,"journal":{"name":"2017 9th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129396706","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: 6

Feature selection for protein dihedral angle prediction 蛋白质二面角预测的特征选择

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI: 10.1109/CICN.2017.8319354

Z. Aydın, O. Kaynar, Yasin Görmez

引用次数: 0

Combining classifiers for protein secondary structure prediction 结合分类器进行蛋白质二级结构预测

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI: 10.1109/CICN.2017.8319350

Z. Aydın, Ömmu Gülsüm Uzut

引用次数: 4

Facial expression recognition using enhanced local binary patterns 基于增强局部二值模式的面部表情识别

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI: 10.1109/CICN.2017.8319353

Augustine Nnamdi Ekweariri, Kamil Yurtkan

{"title":"Facial expression recognition using enhanced local binary patterns","authors":"Augustine Nnamdi Ekweariri, Kamil Yurtkan","doi":"10.1109/CICN.2017.8319353","DOIUrl":"https://doi.org/10.1109/CICN.2017.8319353","url":null,"abstract":"Facial expression, a non-verbal communication, is a means through which humans convey their inner emotional state, thus playing an important role in social interaction and interpersonal relations. Facial expression recognition plays a significant role in human-computer interaction as well as various fields of behavioral science. There are six known classes of emotional state which are anger, disgust, fear, happiness, sadness and surprise, associated with their respective facial expressions, according to Ekman's studies. Humans recognize facial expressions almost effortlessly and without delay, but this is quite challenging for digital computers. The paper presents facial expression recognition using local binary patterns. The main contribution of the paper is the feature selection applied, in which the high variance LBP pixels are selected to represent faces. By selecting the high variance pixels based on LBPs, the recognition rates were improved significantly. The tests are completed on the BU-3DFE database. The experiments show that after applying feature selection, the recognition rates are improved by 11%.","PeriodicalId":339750,"journal":{"name":"2017 9th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115963289","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: 19

Comparative study of two most popular packet sniffing tools-Tcpdump and Wireshark 比较两种最流行的数据包嗅探工具tcpdump和Wireshark

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI: 10.1109/CICN.2017.8319360

P. Goyal, Anurag Goyal

引用次数: 54

A new IoT combined body detection of people by using computer vision for security application 一种新的物联网结合人体检测，利用计算机视觉进行安全应用

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI: 10.1109/CICN.2017.8319366

N. A. Othman, I. Aydin

引用次数: 36