Int. J. Monit. Surveillance Technol. Res.最新文献

Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment 在基于物联网的环境中提前生成推荐的信息处理

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-10-01 DOI: 10.4018/IJMSTR.2017100103

Alexandros Bousdekis, Nikos Papageorgiou, B. Magoutas, Dimitris Apostolou, G. Mentzas

{"title":"Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment","authors":"Alexandros Bousdekis, Nikos Papageorgiou, B. Magoutas, Dimitris Apostolou, G. Mentzas","doi":"10.4018/IJMSTR.2017100103","DOIUrl":"https://doi.org/10.4018/IJMSTR.2017100103","url":null,"abstract":"TheevolutionofInternetofThings(IoT)hassignificantlycontributedtothedevelopmentofthe sensingenterpriseconceptandtotheuseofappropriateinformationsystemsforreal-timeprocessing ofsensordatathatareabletoprovidemeaningfulinsightsaboutpotentialproblemsinaproactiveway. Inthecurrentarticle,theauthorsoutlineaconceptualarchitectureanddescribethesystemdesign requirementsfordecidingandactingaheadoftimewiththeaimtoaddresstheDecideandtheAct phasesofthe“Detect-Predict-Decide-Act”proactiveprinciple,whicharestillunderexploredareas. Theassociateddevelopedinformationsystemiscapableofbeingintegratedwithsystemsaddressing theDetectandthePredictphasesinanEventDrivenArchitecture(EDA). KEywoRdS Big Data, Context-Awareness, Decision Making, Event-Driven Computing, Feedback, Information System, Internet of Things, Proactivity, Real-Time, Sensors","PeriodicalId":170761,"journal":{"name":"Int. J. Monit. Surveillance Technol. Res.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115688934","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

Data Security and Privacy Assurance Considerations in Cloud Computing for Health Insurance Providers 医疗保险提供商云计算中的数据安全和隐私保证考虑因素

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-10-01 DOI: 10.4018/IJMSTR.2017100101

Amavey Tamunobarafiri, S. Aghili, S. Butakov

引用次数: 1

Class Distribution Curve Based Discretization With Application to Wearable Sensors and Medical Monitoring 基于类分布曲线的离散化及其在可穿戴传感器和医疗监测中的应用

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-10-01 DOI: 10.4018/IJMSTR.2017100102

Nicholas Skapura, Guo-Yong Dong

引用次数: 3

A Cyber-Physical Photovoltaic Array Monitoring and Control System 网络物理光伏阵列监测与控制系统

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJMSTR.2017070103

Gowtham Muniraju, Sunil Rao, Sameeksha Katoch, A. Spanias, C. Tepedelenlioğlu, P. Turaga, M. Banavar, Devarajan Srinivasan

{"title":"A Cyber-Physical Photovoltaic Array Monitoring and Control System","authors":"Gowtham Muniraju, Sunil Rao, Sameeksha Katoch, A. Spanias, C. Tepedelenlioğlu, P. Turaga, M. Banavar, Devarajan Srinivasan","doi":"10.4018/IJMSTR.2017070103","DOIUrl":"https://doi.org/10.4018/IJMSTR.2017070103","url":null,"abstract":"A cyber physical system approach for a utility-scale photovoltaic (PV) array monitoring and control is presented in this article. This system consists of sensors that capture voltage, current, temperature, and irradiance parameters for each solar panel which are then used to detect, predict and control the performance of the array. More specifically the article describes a customized machine-learning method for remote fault detection and a computer vision framework for cloud movement prediction. In addition, a consensus-based distributed approach is proposed for resource optimization, and a secure authentication protocol that can detect intrusions and cyber threats is presented. The proposed system leverages video analysis of skyline imagery that is used along with other measured parameters to reconfigure the solar panel connection topology and optimize power output. Additional benefits of this cyber physical approach are associated with the control of inverter transients. Preliminary results demonstrate improved efficiency and robustness in renewable energy systems using advanced cyber enabled sensory analysis and fusion devices and algorithms.","PeriodicalId":170761,"journal":{"name":"Int. J. Monit. Surveillance Technol. Res.","volume":"11 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114012702","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: 16

Integration of Gaussian Processes and Particle Swarm Optimization for Very-Short Term Wind Speed Forecasting in Smart Power 基于高斯过程和粒子群优化的智能电力极短期风速预报

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJMSTR.2017070101

M. Alamaniotis, G. Karagiannis

{"title":"Integration of Gaussian Processes and Particle Swarm Optimization for Very-Short Term Wind Speed Forecasting in Smart Power","authors":"M. Alamaniotis, G. Karagiannis","doi":"10.4018/IJMSTR.2017070101","DOIUrl":"https://doi.org/10.4018/IJMSTR.2017070101","url":null,"abstract":"This article describes how the integration of renewable energy in the power grid is a critical issue in order to realize a smart grid infrastructure. To that end, intelligent methods that monitor and currently predict the values of critical variables of renewable energy are essential. With respect to wind power, such variable is the wind speed given that it is of great interest to efficient schedule operation of a wind farm. In this article, a new methodology for predicting wind speed is presented for very short-term prediction horizons. The methodology integrates multiple Gaussian process regressors (GPR) via the adoption of an optimization problem whose solution is given by the particle swarm optimization algorithm. The optimized framework is utilized for the average hourly wind speed prediction for a prediction horizon of six hours ahead. Results demonstrate the ability of the methodology in accurately forecasting the wind speed. Furthermore, obtained forecasts are compared with those taken from single Gaussian process regressors as well from the integration of the same multiple GPR using a genetic algorithm.","PeriodicalId":170761,"journal":{"name":"Int. J. Monit. Surveillance Technol. Res.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132328231","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

Manifold Transfer Subspace Learning (MTSL) for Applications in Aided Target Recognition 流形转移子空间学习在辅助目标识别中的应用

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJMSTR.2017070102

O. Mendoza-Schrock, M. Rizki, V. Velten

{"title":"Manifold Transfer Subspace Learning (MTSL) for Applications in Aided Target Recognition","authors":"O. Mendoza-Schrock, M. Rizki, V. Velten","doi":"10.4018/IJMSTR.2017070102","DOIUrl":"https://doi.org/10.4018/IJMSTR.2017070102","url":null,"abstract":"Thisarticledescribeshowtransfersubspacelearninghasrecentlygainedpopularity foritsabilitytoperformcross-datasetandcross-domainobjectrecognition.Theability toleverageexistingdatawithouttheneedforadditionaldatacollectionsisattractive formonitoringandsurveillancetechnology,specificallyforaidedtargetrecognition applications. Transfer subspace learning enables the incorporation of sparse and dynamicallycollecteddataintoexistingsystemsthatutilizelargedatabases.Manifold learninghasalsogainedpopularityforitssuccessatdimensionalityreduction.Inthis contribution,Manifoldlearningandtransfersubspacelearningarecombinedtocreate anewsystemcapableofachievinghightargetrecognitionrates.Themanifoldlearning technique used in this contribution is diffusion maps, a nonlinear dimensionality reductiontechniquebasedonaheatdiffusionanalogy.Thetransfersubspacelearning techniqueusedisTransferFisher’sLinearDiscriminativeAnalysis.Thenewsystem, manifold transfer subspace learning, sequentially integrates manifold learning and transfersubspacelearning.Inthisarticle,theabilityofthenewtechniquestoachieve high target recognition rates for cross-dataset and cross-domain applications is illustratedusingavarietyofdiversedatasets. KeywoRdS Diffusion Maps, Manifold Learning, Target Recognition, Transfer Learning, Transfer Subspace Learning","PeriodicalId":170761,"journal":{"name":"Int. J. Monit. Surveillance Technol. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272089","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

Use of Images of Leaves and Fruits of Apple Trees for Automatic Identification of Symptoms of Diseases and Nutritional Disorders 利用苹果树的叶子和果实图像自动识别疾病和营养失调的症状

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-04-01 DOI: 10.4018/IJMSTR.2017040101

Lucas G. Nachtigall, R. M. Araújo, G. Nachtigall

引用次数: 6

On Automated Generation of Keyboard Layout to Reduce Finger-Travel Distance 减少手指移动距离的自动生成键盘布局

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-04-01 DOI: 10.4018/IJMSTR.2017040103

A. Mali, Nan Yang

{"title":"On Automated Generation of Keyboard Layout to Reduce Finger-Travel Distance","authors":"A. Mali, Nan Yang","doi":"10.4018/IJMSTR.2017040103","DOIUrl":"https://doi.org/10.4018/IJMSTR.2017040103","url":null,"abstract":"TheQWERTYkeyboardlayoutcanbeveryinefficientforone-fingertypingonvirtualkeyboards sincethelettersinmanycommondigramsareplacedonoppositesidesofthekeyboard,resultingina longfingertravel.Thispaperreportsonuseofsimulatedannealingforfindingalternatearrangements ofthelettersoftheEnglishalphabetonkeyboardswithdifferentnumberofrows,toreducefingertraveldistanceforenteringtext.Theuseofsimulatedannealingledtoarrangementsoftheletterson 3×10,4×7,and5×6layoutswithalowerweightedsumoffinger-traveldistancesforalldigrams (denotedbyd)comparedtotheQWERTYlayout(lowerbyabout40%).Thelayoutwiththeleast valueofdamongthosefoundinthisworkisa5×6layoutforwhichthevalueofdisonly1.78key widthscomparedto3.31keywidths(thevalueofdforQWERTY).Alternateautomatedmethods tosolve thisproblem,connectionsbetweenkeyboard layoutsandfacility layouts,andmanynew applicationsoftheideasinthisworkarediscussed. KeywORDS Finger Distance, Human-Centered Computing, Intelligent User Interfaces, Keyboard Optimization, Pain, Personalization, Simulated Annealing, Text Entry, Typing Speed, Usability","PeriodicalId":170761,"journal":{"name":"Int. J. Monit. Surveillance Technol. Res.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128414758","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

Using Physics Inspired Wave Agents in a Virtual Environment: Longitudinal Distance Control in Robots Platoon 在虚拟环境中使用受物理启发的波代理:机器人排中的纵向距离控制

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-04-01 DOI: 10.4018/IJMSTR.2017040102

Baudouin Dafflon, Maxime Guériau, Franck Gechter

引用次数: 1

Recent Advances in Minimally-Obtrusive Monitoring of People's Health 人体健康最小干扰监测的最新进展

Int. J. Monit. Surveillance Technol. Res. Pub Date : 2017-04-01 DOI: 10.4018/IJMSTR.2017040104

A. Mali

引用次数: 1