2018 Eighth International Conference on Information Science and Technology (ICIST)最新文献_第4页

Evidence and Trust: IoT Collaborative Security Mechanism 证据与信任:物联网协同安全机制

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426148

Bin Wen, Ziqiang Luo, Yazhi Wen

引用次数: 4

A Novel TOA-Based Source Localization Algorithm in Wireless Sensor Networks 一种新的基于toa的无线传感器网络源定位算法

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426135

R. Feng, Chenguang Li, Qiu Ran, Yinfeng Wu, N. Yu

引用次数: 0

Fuzzy-Model-Based Output Feedback Controller Design for Discrete-Time Non-Affine Nonlinear Systems via Piecewise Lyapunov Functions 基于分段Lyapunov函数的离散非仿射非线性系统的模糊模型输出反馈控制器设计

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426064

Wenqiang Ji, M. Wang, Jianbin Qiu

引用次数: 1

Radio Tomographic Imaging with Feedback-Based Sparse Bayesian Learning 基于反馈稀疏贝叶斯学习的射电层析成像

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426185

Zhen Wang, Hang Su, Xuemei Guo, Guoli Wang

引用次数: 7

Micro-Expression Recognition Based on Spatiotemporal Gabor Filters 基于时空Gabor滤波器的微表情识别

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426088

ChenHan Lin, Fei Long, J. Huang, Jun Li

{"title":"Micro-Expression Recognition Based on Spatiotemporal Gabor Filters","authors":"ChenHan Lin, Fei Long, J. Huang, Jun Li","doi":"10.1109/ICIST.2018.8426088","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426088","url":null,"abstract":"For its wide range of applications in public security and psychotherapy, recognizing micro-expressions from facial image sequences has gain increasing attentions recently. Subtlety and short duration are major challenges for micro-expression recognition. In this paper, we propose a method for micro-expression recognition based on spatiotemporal Gabor filters. In preprocessing, for each video clip, the intensities of facial movements are first magnified by Eulerian video magnification (EVM), and then a sequence of frame difference is generated by subtracting a non-expression frame from all the frames in original video clip. Following that, we convolve a bank of spatiotemporal Gabor filters with the difference sequences, and the magnitudes of Gabor filter responses are used as features. The final features are fed up into a linear SVM for classification after spatiotemporal max pooling. The proposed method is evaluated on two micro-expression datasets, CASME2 and SMIC. Experimental results on CASME2 demonstrate the importance of preprocessing for micro-expression recognition. Furthermore, the proposed method achieves better recognition performance than some popular methods on both CASME2 and SMIC datasets, such as LBP-TOP and HOOF, in micro-expression recognition.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128303172","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

Adaptive Event-Based Control for Discrete-Time Nonaffine Systems with Constrained Inputs 输入受限的离散非仿射系统的自适应事件控制

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426093

Mingming Ha, Ding Wang, Derong Liu, Bo Zhao

引用次数: 0

Table Transformation Rule Learner 表变换规则学习者

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426166

Yongchi Su, Chunping Li, Shaoxu Song, Kenji Takao

{"title":"Table Transformation Rule Learner","authors":"Yongchi Su, Chunping Li, Shaoxu Song, Kenji Takao","doi":"10.1109/ICIST.2018.8426166","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426166","url":null,"abstract":"As we know, table data is a popular data form in industry and scientific research fields. However, sometimes the original table data could not meet updating requirements in real applications, so we need to convert them into required form. In this paper we propose an approach to learn the transformation rules that convert original table data to target form. Based on Inductive Logic Programming(ILP), we design a learning system called Table Transformation Rule Learner (TTRL). It uses specific predicates and background knowledge for this task to generate table transformation rules. We implement a unique heuristic function (HF) in TTRL to accelerate searching process for rule generation, and we use semi-supervised learning (SSL) in order to obtain more information especially from small set of sample data. We also address the problem like over-generalization which may occur when having only positive training examples in ILP learning process. We test our program in several kinds of table data, and the result shows that the transformation rules can be learned correctly. Moreover, our designed searching strategy can greatly reduce the time cost of searching rules.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130228956","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

A Memristor-CMOS Hybrid Circuit for Classical Conditioning Reflex 用于经典条件反射的忆阻器- cmos混合电路

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426079

Le Yang, Z. Zeng

{"title":"A Memristor-CMOS Hybrid Circuit for Classical Conditioning Reflex","authors":"Le Yang, Z. Zeng","doi":"10.1109/ICIST.2018.8426079","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426079","url":null,"abstract":"The imitation of classical conditioning reflex at circuit level is a significant procedure to achieve biology-like circuit systems. In order to realize the imitation, the important process are to imitate synaptic behaviors. As an emerging device, the memristor has some excellent properties like nonvolatility, adjustability, nanoscale. Therefore, it is an appropriate candidate to simulate the synaptic behavior in artificial neural network circuits. This paper presents a memristor-CMOS hybrid circuit to imitate classical conditioning reflex of aplysia californica. Besides, the proposed circuit can simulate additional forgetting stages that are activated by the single unconditional stimulus (US) or the single conditioned stimulus (CS) after the learning stage. The learning and forgetting stages can be described as: when US and CS are given to an aplysia californica together, it forms classical conditioning reflex through associative learning. Then, giving US or CS alone to the aplysia californica after the learning, it will forget the classical conditioning reflex gradually. The proposed circuit is simulated on PSPICE to demonstrate the effectiveness.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124394411","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

Enhancement of the Variable Universe of Discourse Control by Hammersley Sequence-Based TP Model Transformation 基于Hammersley序列的TP模型转换增强话语控制的可变域

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426173

Guoliang Zhao, Wei Wu, Degang Wang

引用次数: 5

Research on Information Collection Method of Shipping Job Hunting Based on Web Crawler 基于网络爬虫的航运求职信息收集方法研究

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI: 10.1109/ICIST.2018.8426183

Dongcheng Peng, Tie-shan Li, Yang Wang, C. L. Philip Chen

{"title":"Research on Information Collection Method of Shipping Job Hunting Based on Web Crawler","authors":"Dongcheng Peng, Tie-shan Li, Yang Wang, C. L. Philip Chen","doi":"10.1109/ICIST.2018.8426183","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426183","url":null,"abstract":"In recent years, with the increasing development of Artificial Intelligence, Big Data and Cloud computing, etc., the information on the Internet has been booming, so how to obtain target information efficiently and quickly has become an urgent problem to be solved. This article aims at the data collection and acquisition problem of shipping job hunting information under the network environment. In this study, two kinds of information collection methods for shipping job hunting based on web crawler are proposed. Based on the Python standard libraries and Scrapy crawl framework, corresponding web crawler program is designed and implemented to scrape the target information from target website and store the collected data into local file eventually. Through the amount of data crawled and time consuming comparative analysis, the result demonstrates that the data collection method based on the Scrapy crawler framework is simple to operate, easily extensible, featuring being targeted, with high efficiency and fast speed in collecting shipping job hunting information. Fortunately, the collected data can not only help researchers conduct subsequent data mining analysis, but also can provide data support for the follow-up shipping job hunting information database.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115832200","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