2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)最新文献_第10页

Code clone detection using coarse and fine-grained hybrid approaches 使用粗粒度和细粒度混合方法的代码克隆检测

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397263

Abdullah M. Sheneamer, J. Kalita

引用次数: 21

Large-scale ontology storage and query using graph database-oriented approach: The case of Freebase 面向图数据库的大规模本体存储与查询:以Freebase为例

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397191

Mahmoud Elbattah, Mohamed Roushdy, M. Aref, Abdel-badeeh M. Salem

引用次数: 11

Towards of intelligence education and learning 走向智能教育与学习

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397221

A. M. Salem

引用次数: 2

A proposed security service set for VANET SOA 为VANET SOA提议的安全服务集

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397192

Safi Ibrahim, M. Hamdy, E. Shaaban

引用次数: 2

Dimensions-based classifier for strategy classification of opponent models in real-time strategy games 基于维数的实时策略博弈对手模型策略分类器

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397258

M. Aly, M. Aref, M.I. Hassan

{"title":"Dimensions-based classifier for strategy classification of opponent models in real-time strategy games","authors":"M. Aly, M. Aref, M.I. Hassan","doi":"10.1109/INTELCIS.2015.7397258","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397258","url":null,"abstract":"Real-time strategy games are strategic war games where two or more players operate on a virtual battlefield, controlling resources, buildings, units and technologies to achieve victory by destroying others. Achieving victory depends on selecting a suitable plan (set of actions), selecting a suitable plan depends on building an imagination (building a model) of the opponent to know how to deal with. This imagination is the opponent model, the stronger the opponent modelling process is, the more accurate the selected suitable plan is and consequently the higher probability achieving the victory is. One of the environment's challenges in real-time strategy games is that classifying the opponent model is game specific. This paper introduces a new methodology through which we can classify the observed opponent model in a way that is not game specific. Our methodology includes two paths, only one of them is executed per real-time strategy game type (per opponent models trained), which means that different type of real-time strategy games will execute different paths of the two paths of our methodology.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"1 1","pages":"442-446"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89971134","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: 1

Finding the pin in the haystack: A Bot Traceback service for public clouds 大海捞针:公共云的Bot追溯服务

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397230

E. Hossny, S. Khattab, F. Omara, H. Hassan

引用次数: 0

A performance study of the chain sampling algorithm 链式采样算法的性能研究

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397265

Rayane El Sibai, Yousra Chabchoub, J. Demerjian, Zakia Kazi-Aoul, Kabalan Barbar

{"title":"A performance study of the chain sampling algorithm","authors":"Rayane El Sibai, Yousra Chabchoub, J. Demerjian, Zakia Kazi-Aoul, Kabalan Barbar","doi":"10.1109/INTELCIS.2015.7397265","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397265","url":null,"abstract":"On-line data stream analysis is an important challenge today because of the always-increasing rates of the streams issued from multiple heterogeneous sources, in many application domains. To reduce the amount of the data stream, several sampling methods were designed by the data stream research community. We focus in this paper, on the chain sampling algorithm proposed by Babcock et al. The aim of this algorithm is to select randomly and at any time, a given fixed proportion from the most recent items of the stream contained in the last sliding window. This algorithm is well adapted to the stream context, as only one pass over the data is performed. Moreover it uses a small memory, as it does not store all the items of the current sliding window. We show in this paper that the chain sampling algorithm suffers from some collision or redundancy problems. The collision occurs when the same item is selected as a sample more than once during the execution of the algorithm. We propose two approaches to overcome this weakness and improve the chain sampling algorithm. The first one is called “inverting the selection for a high sampling rate” and the second one is inspired from the “divide to conquer strategy”. Different experimentations are performed to show the efficiency of these two improvements, in particular their impact on the execution time of the algorithm.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"91 1","pages":"487-494"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78245454","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: 7

Cyber fuzzy assessment methods 网络模糊评价方法

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397189

M. Voskoglou

{"title":"Cyber fuzzy assessment methods","authors":"M. Voskoglou","doi":"10.1109/INTELCIS.2015.7397189","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397189","url":null,"abstract":"The assessment of a system's performance is a very important task for its operation, because the results obtained by this action help the designer/user of the system to correct its weaknesses, thus making it more effective. The assessment methods usually utilized in practice are based on the principles of classical, bivalent logic (yes-no). However, in our everyday life they frequently appear assessment situations involving a degree of uncertainty and (or) ambiguity. Fuzzy logic, due to its nature of characterizing a case with multiple values, offers rich resources for dealing with such kind of situations. This gave us several times in past the impulse to apply principles of fuzzy logic for assessment purposes using as tools the corresponding system's total uncertainty (e.g. see [2] and its relevant references, Section of [3], etc) the Center of Gravity (COG) defuzzification technique (e.g. Section of [3], [4], etc) as well as the Triangular (TFAM) (e.g. [1]) and Trapezoidal (TRFAM) (e.g. [5]) Fuzzy Assessment Models, which are recently developed variations of the COG technique. In this presentation we shall use the Fuzzy Numbers (FNs), and in particular the Triangular (TFN) (e.g. [6]) and Trapezoidal (TpFN) Fuzzy Numbers, as an alternative assessment tool. FNs play a fundamental role in fuzzy mathematics, analogous to the role played by the ordinary numbers in classical mathematics. Our results are illustrated by an example, while this alternative assessment approach is compared with the assessment methods of the bivalent (calculation of the means, GPA index) and fuzzy logic (see above) that we have already used in earlier works.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"113 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79836326","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

Online multi-person tracking-by-detection method using ACF and particle filter 基于ACF和粒子滤波的在线多人检测跟踪方法

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397272

T. Kokul, A. Ramanan, U. Pinidiyaarachchi

{"title":"Online multi-person tracking-by-detection method using ACF and particle filter","authors":"T. Kokul, A. Ramanan, U. Pinidiyaarachchi","doi":"10.1109/INTELCIS.2015.7397272","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397272","url":null,"abstract":"Automatically detecting and tracking multiple persons in videos is one of the main research interest in computer vision based applications. This paper presents a tracking-by-detection approach for tracking people in dynamic backgrounds with frequent occlusions by combining pre-trained generic person detector, online trained person-specific detector and a motion tracker. The popular aggregate channel features (ACF) are used to train the detectors and target specific particle filter is used as motion tracker. In order to learn right appearance of a target person, person-specific detector learns positive samples from prior frames which are detected by both generic person detector and person-specific detector. Data associations among the coincident detections of the detectors and tracker are used to update the person-specific detector and motion tracker. The person-specific detector searches the target person in a reduced region, which is defined by the associate motion tracker. A careful combination of detections of both detectors and tracker are used to locate the correct target person in the video sequence. Experiments have been carried out on Caltech pedestrian benchmark dataset. The proposed method shows better performance against state-of-the-art tracker while maintaining the tracking speed in real-time.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"55 1","pages":"529-536"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89008483","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: 9

Development of a novel EEG wave controlled security system 一种新型脑电波控制安全系统的研制

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397207

Pritham Gajakumar Shah, Krishna Chaithanya Vastare, Xu Huang, Ajithkumar Srikumar, Suraj Mademur Sreenivasa, Adarsh Puvvadi Ram Mohan Kumar, Karthik Rajashekhar Kodada

引用次数: 3