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2015 International Conference on Computational Science and Computational Intelligence (CSCI)最新文献

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3D-sensing Distributed Embedded System for People Tracking and Counting 用于人员跟踪和计数的3d传感分布式嵌入式系统
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.76
Andrés Burbano, S. Bouaziz, M. Vasiliu
{"title":"3D-sensing Distributed Embedded System for People Tracking and Counting","authors":"Andrés Burbano, S. Bouaziz, M. Vasiliu","doi":"10.1109/CSCI.2015.76","DOIUrl":"https://doi.org/10.1109/CSCI.2015.76","url":null,"abstract":"The present study focuses on the development of an embedded smart camera network dedicated to track and count people in public spaces. In the network, each node is capable of sensing, tracking and counting people while communicating with the adjacent nodes of the network. Each node typically uses a 3D-sensing camera positioned in a downward-view but the designed framework can accept other configurations. We present an estimation method for the relative position and orientation of the depth cameras. This system performs background modeling during the calibration process, using a fast and lightweight segmentation algorithm.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115338826","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: 17
An ILP Based Algorithm for Optimal Customer Selection for Demand Response in SmartGrids 基于ILP的智能电网需求响应客户选择优化算法
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.140
S. Kuppannagari, R. Kannan, V. Prasanna
{"title":"An ILP Based Algorithm for Optimal Customer Selection for Demand Response in SmartGrids","authors":"S. Kuppannagari, R. Kannan, V. Prasanna","doi":"10.1109/CSCI.2015.140","DOIUrl":"https://doi.org/10.1109/CSCI.2015.140","url":null,"abstract":"Demand Response (DR) events are initiated by utilities during peak demand periods to curtail consumption. They ensure system reliability and minimize the utility's expenditure. Selection of the right customers and strategies is critical for a DR event. An effective DR scheduling algorithm minimizes the curtailment error which is the absolute difference between the achieved curtailment value and the target. State-of-the-art heuristics exist for customer selection, however their curtailment errors are unbounded and can be as high as 70%. In this work, we develop an Integer Linear Programming (ILP) formulation for optimally selecting customers and curtailment strategies that minimize the curtailment error during DR events in SmartGrids. We perform experiments on real world data obtained from the University of Southern California's SmartGrid and show that our algorithm achieves near exact curtailment values with errors in the range of 10-17 to 10-5, which are within the range of numerical errors. We compare our results against the state-of-the-art heuristic being deployed in practice in the USC SmartGrid. We show that for the same set of available customerstrategy pairs our algorithm performs 10-3 to 10-7 times better in terms of the curtailment errors incurred.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115688208","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
A Wireless Oxygen Saturation and Heart Rate Monitoring and Alarming System Based on the Qatar Early Warning Scoring System 基于卡塔尔预警评分系统的无线血氧饱和度和心率监测报警系统
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.75
S. Alshorman, Fadi Jaber, F. Bensaali
{"title":"A Wireless Oxygen Saturation and Heart Rate Monitoring and Alarming System Based on the Qatar Early Warning Scoring System","authors":"S. Alshorman, Fadi Jaber, F. Bensaali","doi":"10.1109/CSCI.2015.75","DOIUrl":"https://doi.org/10.1109/CSCI.2015.75","url":null,"abstract":"Monitoring vital signs and alarming healthcare emergency response units whenever measurements are outside the normal range could be life-saving for high-risk patients who are living alone or sleeping. This paper presents a system that wirelessly obtains the oxygen saturation and heart rate from patients using a pulse oximeter. An SMS alarm with the measurements is then sent to hospitals to contact the patient or dispatch an ambulance in case he/she does not respond. The SMS also contains the patient's GPS coordinates. The decision whether an alarming SMS should be sent is based on the Qatar Early Warning Scoring (QEWS) system. In this work, a base station unit to receive and analyze data coming from the sensor was developed and tested.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116290104","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: 8
Blurred Palmprint Recognition Based on Relative Invariant Structure Feature 基于相对不变结构特征的模糊掌纹识别
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.15
G. Wang, Weibo Wei, Zhenkuan Pan
{"title":"Blurred Palmprint Recognition Based on Relative Invariant Structure Feature","authors":"G. Wang, Weibo Wei, Zhenkuan Pan","doi":"10.1109/CSCI.2015.15","DOIUrl":"https://doi.org/10.1109/CSCI.2015.15","url":null,"abstract":"A blurred palmprint recognition method based on Relative Invariant Structure Feature (RISF) is proposed in this paper to improve the low recognition accuracy of blurred palmprint. Firstly, the OSV decomposition model is used to obtain stable feature from blurred images. Next, a non-overlapping sampling method based on Structure Ratio (SR) for RISF is used to further improve the effectiveness of feature. Finally, Structural Similarity Index Measurement (SSIM) is introduced to measure the similarity of palmprints and judge the palmprint category for classification. Numerical experiments show that the proposed method is effective and better than some other classical algorithms.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123552444","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
Coordinated Cognitive Tethering over TV White-Spaces Considering Co-channel Interference in Dense Wireless Areas 考虑密集无线区域同信道干扰的电视白空间协同认知捆绑
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.93
U. Al-Haddad, G. Aldabbagh, N. Dimitriou
{"title":"Coordinated Cognitive Tethering over TV White-Spaces Considering Co-channel Interference in Dense Wireless Areas","authors":"U. Al-Haddad, G. Aldabbagh, N. Dimitriou","doi":"10.1109/CSCI.2015.93","DOIUrl":"https://doi.org/10.1109/CSCI.2015.93","url":null,"abstract":"Enormous number of people use their smart phones and tablets to share photos, upload videos or send messages and download other information. These activities creates traffic load with lack of efficient spectrum utilization especially in dense areas. This paper investigates the performance gain that can be achieved by introducing a hotspot-slave configuration of nodes in densely populated areas. The proposed algorithm aims to maximize spectrum efficacy by iteratively clustering the nodes into hotspots and slaves and allocating resources. This approach does not require any additional infrastructure. Simulation results show that the proposed algorithm can significantly enhance the overall performance of the network by five times as compared to direct connection between the nodes and the base station, hence increasing the capacity of the cell.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129719397","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
Smart Device Forensics - Acquisition, Analysis and Interpretation of Digital Evidences 智能设备取证-数字证据的获取，分析和解释
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.58
E. Kalaimannan
{"title":"Smart Device Forensics - Acquisition, Analysis and Interpretation of Digital Evidences","authors":"E. Kalaimannan","doi":"10.1109/CSCI.2015.58","DOIUrl":"https://doi.org/10.1109/CSCI.2015.58","url":null,"abstract":"Smart Device Forensics is a classification under Digital Forensics, which primarily deals with the investigation of digital evidence found in smart devices such as Smart phones, tablets and televisions. There is an enormous rate of increase in threats with ever growing releases of smart devices and rapid advancement in innovative technologies. In this paper, we report a digital forensics investigation procedure to acquire and analyze digital evidences found in a smart device based on file systems, logical memory storage and operating system architectures.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129151244","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
Parallel Algorithmic Optimization and Achievement for LDPC Encoding and Decoding on CUDA Platform 基于CUDA平台的LDPC编解码并行算法优化与实现
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.189
Liu Zhen, Wang Yunpei, Lulu Lulu
{"title":"Parallel Algorithmic Optimization and Achievement for LDPC Encoding and Decoding on CUDA Platform","authors":"Liu Zhen, Wang Yunpei, Lulu Lulu","doi":"10.1109/CSCI.2015.189","DOIUrl":"https://doi.org/10.1109/CSCI.2015.189","url":null,"abstract":"With the development of mobile Internet applications, the fourth generation mobile communication (4G) has been widely used, low-density parity-check (LDPC) codes have gradually become the first choice for 4G communication because of its superior performance. For the short of traditional encoding and belief propagation (BP) decoding algorithm, this paper adopts a method of parallel processing for LDPC encoding and decoding which is finally realized on the mobile terminal. On the CUDA platform, CPU scheduling and GPU parallelization are used to process a large number of repeated operations so that parallel encoding algorithm and heterogeneous parallel BP algorithm are achieved and the efficiency is significantly improved.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132033663","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
Causual Analysis of Data Using 2-Layerd Spherical Self-Organizing Map 基于2层球面自组织映射的数据因果分析
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.106
Gen Niina, K. Muramatsu, H. Dozono
{"title":"Causual Analysis of Data Using 2-Layerd Spherical Self-Organizing Map","authors":"Gen Niina, K. Muramatsu, H. Dozono","doi":"10.1109/CSCI.2015.106","DOIUrl":"https://doi.org/10.1109/CSCI.2015.106","url":null,"abstract":"Today, we are able to easily obtain data such as stock prices and market information through media such as the Internet. However, it is not so easy to come by useful information from this data. The reason for this is that there is a mix of many different kinds of information. Such a situation leads to difficulty in grasping trends in the data through just one rule, and so one must find a rule for each relevant factor. Therefore, the need for finding relevant factors is inevitable. For this reason, in our research we developed an algorithm that enables one to extract factors that have causal relationships with one another, and indicated its usefulness through experiments.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131242187","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
Heterogeneous Behaviors and Direct Interactions in Artificial Stock Markets 人工股票市场中的异质行为与直接相互作用
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.66
Talal Alsulaiman, K. Khashanah
{"title":"Heterogeneous Behaviors and Direct Interactions in Artificial Stock Markets","authors":"Talal Alsulaiman, K. Khashanah","doi":"10.1109/CSCI.2015.66","DOIUrl":"https://doi.org/10.1109/CSCI.2015.66","url":null,"abstract":"In this paper, we explore the dynamic of stock prices over time by developing an agent-based market. The developed artificial market is comprised of heterogeneous agents occupied with various behaviors and trading strategies. The developed market has property of direct interaction. The environment takes the form of network structure namely, it manifests as a scale-free network. The information will flow between the agents through the linkages that connect them. The model is subjected to testing for goodness of fit to the empirical observations of the S&P500. Furthermore, the effect of increasing the population size of various agent types is investigated.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128994739","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 Cost-Efficient Design for Microarray Image System 一种低成本的微阵列图像系统设计
2015 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2015-12-07 DOI: 10.1109/CSCI.2015.47
Ching-Yu Huang
{"title":"A Cost-Efficient Design for Microarray Image System","authors":"Ching-Yu Huang","doi":"10.1109/CSCI.2015.47","DOIUrl":"https://doi.org/10.1109/CSCI.2015.47","url":null,"abstract":"Image based Microarray processing has been widely applied to the biotechnology field for identifying SNP variations. In order to reduce the cost for manufacturers, a flexible design for handling different layouts of containers and different numbers of spots is necessary to accomplish the need for different throughputs on the same microarray instrument. The key to making the microarray technology successful is spot recognition during the image processing. There are many factors that could affect the quality and alignment of spots. Both high accuracy and automation in spot intensity acquisition is required to have a correct result. Here, we present a cost-efficient design that will accommodate for different spot layouts with minimal required information.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123358396","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
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