2018 International Conference on Intelligent Systems and Computer Vision (ISCV)最新文献

Policy based generic autonomic adapter for a context-aware social-collaborative system 用于上下文感知的社会协作系统的基于策略的通用自治适配器

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-05-07 DOI: 10.1109/ISACV.2018.8354044

Nazmul Hussain, Hai H. Wang, C. Buckingham

{"title":"Policy based generic autonomic adapter for a context-aware social-collaborative system","authors":"Nazmul Hussain, Hai H. Wang, C. Buckingham","doi":"10.1109/ISACV.2018.8354044","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354044","url":null,"abstract":"Autonomic computing was intended to tackle the growing complexity of Information Technology infrastructure by making it self-managing and self-adaptive. The core idea is to endow the system with enough intelligence to monitor continuously all aspects of the changing environments and resources, and to control management decisions according to high-level policies. For several years, great efforts have been devoted to the study of system performance, security, and fault management issues, but without much attention paid to self-adaptive social-collaborative system development. This may be because it is difficult to create such autonomic systems, which must sense and adapt to ongoing social context changes and support cyber-physical collaborations with minimal human involvement. These collaborations will have interactions between human and non-human entities that need to be self-managing with adaptive goals. This paper tackles the problem by introducing a new Generic Autonomic Social-Collaborative Framework (GASCF). It focuses on a high-level social-context based self-adaptive system, and its use of intelligent agents called autonomic adapters(AAs) that are driven by predefined policies. The paper describes the architecture of autonomic adapters and the general representation of policies. It explores the effectiveness of the approach by applying it to a large-scale collaborative healthcare service called GRaCE (https://www.egrist.org/) that supports mental-health within the United Kingdom National Health Service and other organisations.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116825537","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

Dual-camera 3D head tracking for clinical infant monitoring 用于临床婴儿监测的双摄像头3D头部跟踪

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-05-03 DOI: 10.1109/ISACV.2018.8354068

Ronald Saeijs, W. E. Tjon a Ten, P. D. De with

引用次数: 2

An idea of a clustering algorithm using support vector machines based on binary decision tree 基于二叉决策树的支持向量机聚类算法的思想

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354024

H. Elaidi, Younes Elhaddar, Zahra Benabbou, Hassan Abbar

引用次数: 27

Array antenna characteristics enhancement for electronic scanning radar application: Parasitic patches and multi layer techniques 电子扫描雷达阵列天线特性增强:寄生贴片和多层技术

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354022

N. Chater, T. Mazri, M. Benbrahim

{"title":"Array antenna characteristics enhancement for electronic scanning radar application: Parasitic patches and multi layer techniques","authors":"N. Chater, T. Mazri, M. Benbrahim","doi":"10.1109/ISACV.2018.8354022","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354022","url":null,"abstract":"This paper presents characteristics improvement of patch array antenna used for electronic scanning radar application. This basic array antenna, designed on low cost substrate FR-4 and fed by microstrip technique, consists of 8 patches and operates at frequency 3GHz. However, this structure has two disadvantages a low gain value by dint of using a lossy material FR4 as a substrate, and a narrow bandwidth which is due to microstrip antenna limitations. Hence, the objective of this work is to increase the gain and the bandwidth of this structure. Therefore two techniques will be proposed separately in this paper: parasitic patches and multi layer substrate. For the first one, it consists of adding a defined number of parasitic patches, the distance between driven and parasitic patches will be evaluated to ensure strong coupling between them. For the second technique, a second layer of FR4 coated with an annealed copper of 0.035mm is added to the substrate. An air gap of 0.04x is used to separate between both FR-4 layers. The design and simulation of the array antenna and the modified structures will be performed using Advanced Design System (ADS) software. Simulation results of each technique will be compared first to basic array antenna simulation results and compared thereafter to each other.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127891340","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

Single feed compact millimeter wave antenna for future 5G applications 面向未来5G应用的单馈紧凑型毫米波天线

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354014

Aziz Elfatimi, S. Bri, Adil Saadi

引用次数: 9

Deep neural network dynamic traffic routing system for vehicles 基于深度神经网络的车辆动态交通路由系统

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354012

Imad Lamouik, Ali Yahyaouy, M. A. Sabri

引用次数: 9

Machine learning for hand gesture recognition using bag-of-words 使用词袋进行手势识别的机器学习

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354082

Marouane Benmoussa, A. Mahmoudi

{"title":"Machine learning for hand gesture recognition using bag-of-words","authors":"Marouane Benmoussa, A. Mahmoudi","doi":"10.1109/ISACV.2018.8354082","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354082","url":null,"abstract":"Human Computer Interaction received a great deal of attention this last decade. Last researches has turned to more natural interaction systems like gestural human machine interfaces. Recent works are attempting to solve the problem of hand gestures recognition using machine learning methods. Some of them are pretending to achieve very high performance. However, few of them are taking into account mandatory requirements to apply the workflow of a learning model, mainly data unbalance, model selection and generalization performance metric choice. In this work, we proposed a machine learning method for real time recognition of 16 gestures of user hands using the Kinect sensor that respects such requirements. The recognition is triggered only when there is a moving hand gesture. The method is based on the training of a Support Vector Machine model on hand depth data from which bag of words of SIFT and SURF descriptors are extracted. The data was kept balanced and the model kernel and parameters were selected using cross validation procedure. The method achieved 98% overall performance using the area under the ROC curve measure.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131891368","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: 11

Classification of the lean implementation procedures for improving the business processes 对改进业务流程的精益实施程序进行分类

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354019

Y. Tiamaz, N. Souissi

引用次数: 5

Improving the Arabic root extraction by using the quadratic splines 利用二次样条改进阿拉伯语根提取

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354062

Mohamed Boudchiche, A. Mazroui

引用次数: 6

Deep generative models: Survey 深度生成模型:综述

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-02 DOI: 10.1109/ISACV.2018.8354080

Achraf Oussidi, Azeddine Elhassouny

引用次数: 95