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3rd international conference on Cognitive computing and Information Processing, CCIP 2017

3rd International Conference on Cognitive Computing and Info...

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3rd international conference on Cognitive computing and Information Processing, CCIP 2017

ISBN: (纸本)9789811090585

The proceedings contain 43 papers. The special focus in this conference is on Cognitive computing and Information Processing. The topics include: Influence of health service infrastructure on the infant mortality rate: An econometric analysis of Indian States;Eyes open and eyes close activity recognition using EEG signals;health and nutritional status of children: Survey, challenges and directions;an empirical analysis of machine learning classifiers for clinical decision making in Asthma;Web based blood donation management system (BDMS) and notifications;silent speech recognition;swarm intelligent approaches for solving shortest path problems with multiple objectives;improved directionally driven self-regulating particle swarm optimizer;judgement of learning for metacognitive type-2 fuzzy inference system;inter intensity and color channel co-occurrence histogram for color texture classification;LDA based discriminant features for texture classification using WT and PDE approach;Position error analysis of IRNSS data using big data analytics;analysis of breast thermal images using anisotropic diffusion filter based modified level sets and efficient fractal algorithm;cluster representation and discrimination based on regression line;recognition of traffic sign based on support vector machine and creation of the Indian traffic sign recognition benchmark;neural network based characterization and reliable routing of data in wireless body sensor networks;automata approach to reduce power consumption in smart grid cloud data center;Hybrid optimization in big data: Error detection and data repairing by big data cleaning using CSO-GSA;Application of optimization technique for performance and emission characteristics of a CNG-diesel dual fuel engine: A comparison study.

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ITS development in Colombia: Challenges and opportunities 1

ITS development in Colombia: Challenges and opportunities

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1st international conference on Applied Informatics Workshops, ICAIW 2018 - Joint Workshop on data Engineering and analytics, WDEA 2018, Workshop on smart Sustainable Cities, WSSC 2018, Workshop on intelligent Transportation Systems, WITS 2018 and Workshop on Empirical Experiences on Software Reuse, WEESR 2018

作者： Banse, Klaus Herrera, Luis Felipe Nuñez, Miguel Navarro, Juan Carlos Bermudez, Diego Chavarriaga, Jaime ITS Colombia Foundation Colombia ITS Initiative Ministerio de Transporte Colombia Dirección de Promoción TIC Ministerio Tecnologías de Información y Comunicaciones Colombia Universidad Piloto de Colombia Bogotá Colombia Systems and Computing Engineering Department Universidad de Los Andes Bogotá Colombia

ISBN: (纸本)9781538694596

The intelligent Transportation Systems (ITS) integrate information from multiple systems and sensors to provide information to travellers and authorities and help to minimize transport problems. They can provide, for instance, real-time information of traffic, local buses and time taken to reach an specific destination to help travellers plan their trips and improve their safety and comfort. Countries such as Japan, United States, Chile and Peru have initiatives for implementing their nation-wide ITS. In Colombia, there are many local ITS services implemented by local authorities, national offices and commercial companies. However, these solutions remain largely isolated one to the others, implying not only the duplication of efforts but also limits to the information that these services provide. In addition, Colombia has not defined some technical standards that may support the implementation and integration of the ITS in the country. This paper presents some conclusions of the panel discussion held in the Workshop on intelligent Transportation Systems (WITS 2018) regarding opportunities and challenges to implement ITS in Colombia: It is important to define a plan that prioritize the ITS systems to develop, to define technical standards that support their integration at regional and national levels, and to promote coordinated efforts of academy, industry and government to implement these solution. © 2018 IEEE.

关键词： intelligent systems

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24th international conference on Information and Software Technologies, ICIST 2018

24th International Conference on Information and Software Te...

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24th international conference on Information and Software Technologies, ICIST 2018

ISBN: (纸本)9783319999715

The proceedings contain 48 papers. The special focus in this conference is on Information and Software Technologies. The topics include: Application of SEO Metrics to Determine the Quality of Wikipedia Articles and Their Sources;how to Describe Basic Urban Pattern in Geographic Information Systems;smart Deployment of Virtual Machines to Reduce Energy Consumption of Cloud computing Based data Centers Using Gray Wolf Optimizer;Problem Domain Knowledge Driven Generation of UML Models;visualization for Open Access – A Case Study of Karlstad University and the University of Makerere in Uganda;A Model-Driven Approach for Access Control in Internet of Things (IoT) Applications – An Introduction to UMLOA;a Workflow-Based Large-Scale Patent Mining and analytics Framework;SVM Accuracy and Training Speed Trade-Off in Sentiment Analysis Tasks;j48S: A Sequence Classification Approach to Text Analysis Based on Decision Trees;metis: A Scalable Natural-Language-Based intelligent Personal Assistant for Maritime Services;TabbyPDF: Web-Based System for PDF Table Extraction;modification of Parallelization for Fast Sort Algorithm;text Semantics and Layout Defects Detection in Android Apps Using Dynamic Execution and Screenshot Analysis;the Impact of the Cost Function on the Operation of the intelligent Agent in 2D Games;the Research on Method of Prediction Mine Earthquake Based on the Information Entropy Principle;automated Design Thinking Oriented on Innovatively Personified Projects;a Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete data;a Study in Granular computing: Homogenous Granulation;detection of Dental Filling Using Pixels Color Recognition;An Introduction to UMLPDSV for Real-Time Dynamic Signature Verification.

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1st international conference on Emerging Technologies in computing, iCETiC 2018

1st International Conference on Emerging Technologies in Com...

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1st international conference on Emerging Technologies in computing, iCETiC 2018

ISBN: (纸本)9783319954493

The proceedings contain 26 papers. The special focus in this conference is on Emerging Technologies in computing. The topics include: Analysis of illumination lamp’s performance by retrofit at university building;physarum inspired model for mobile sensor nodes deployment in the presence of obstacles;on the equivalence between eigen and channel inversion based precoders;carbon nanotube technology as an option for future computing devices;adaptive threshold technique for spectrum sensing cognitive radios under gaussian channel estimation errors;survey on fuzzy logic enabled cognitive radios;a novel supervised learning model for figures recognition by using artificial neural network;cluster and logistic regression distribution of students’ performance by classification;face recognition analysis using 3D model;risks in adopting cloud computing: A proposed conceptual framework;named entity recognition system for Sindhi language;exploring the potential benefits of big data analytics in providing smart healthcare;clinical practice for diagnostic causes for obstructive sleep apnea using artificial intelligent neural networks;morphological analysis of fenestrae in arteries;game based social skills apps to enhance collaboration among young children: A case study;the main components of creativity in educational game: A case study;role of absorptive capacity in predicting continuance intention to use digital libraries: An empirical study;blockchain enabled enhanced IoT ecosystem security;challenges of Internet of Things and big data integration;model-based metrics to estimate maintainability;an analysis of a methodology that transforms the entity-relationship model into a conceptual model for a graph database;the effects of ionospheric irregularities on the navigational receivers and its mitigation.

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smart and precision polyhouse farming using visible light communication and internet of things 2nd

Smart and precision polyhouse farming using visible light co...

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2nd international conference on intelligent computing and Communication, ICICC 2017

作者： Kadam, Krishna Chavan, G.T. Chavan, Umesh Shah, Rohan Kumar, Pawan Sinhgad College of Engineering Pune India

ISBN: (纸本)9789811072444

Recently, Polyhouse farming has taken the place of traditional farming. This technique reduces dependency on rainfall and dramatically changing environmental conditions and makes the optimum use of land and water resources in a controlled environment. Manually controlled system requires a lot of attention and care. To overcome this limitation, novel technologies like Internet of Things (IoT) and sensor network (SN) can be used. Case studies show that use of electromagnetic or radio spectrum for communication degrades the growth and quality of crops. The visible light communication (VLC) provides an effective solution to this problem using visible light spectrum for communication. VLC outperforms when compared with traditional communication techniques in terms of available frequency spectrum, reliability, security, and energy efficiency. LED source used in VLC acts as communication element as well as is used for illumination. This paper proposes use of sensor network to sense the data like temperature, humidity, soil moisture, and luminosity along with VLC as a medium of communication from node to the network gateway. IoT performs its part in automating polyhouse countermeasures and fertilizer suggestion based on the data processed in cloud for Business Intelligence and analytics. Thus, the proposed system will ensure automated and sustainable polyhouse farming using VLC and IoT. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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A smart farming approach in automatic detection of favorable conditions for planting and crop production in the upper basin of Cauca River

A smart farming approach in automatic detection of favorable...

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international conference of ICT for Adapting Agriculture to Climate Change, AACC 2017

作者： López, Iván Darío Corrales, Juan Carlos Universidad Del Cauca Popayán Colombia

ISBN: (纸本)9783319701868

The upper basin of Cauca River is one of the most important agricultural and industrial corridors in Colombia. In addition, Colombian relief has a variety of soils and climatic zones, in which the slightest modification of agro-climatic conditions could imply a great impact on sowing, production, yield, crop quality, and hence, the farmers’ income sources. However, these conditions are not the only factors that influence a crop growth;dimensions like biophysical, economic-productive, political-institutional, and socio-cultural establish interrelations that affect the viability of planting and produce a crop in a geographic territory. For a more efficient information management, smart Farming represents the application of information and communication technologies in order to support more intelligent decisions in the agricultural sector. This study presents a theoretical proposal based on Big data analytics to detect appropriate conditions for sowing and crop production in the upper basin of Cauca River. Similarly, the preliminary public datasets (corresponding to biophysical and economic-productive) and main proposal components are described in a general view. Finally, a future implementation and evaluation of this research work is proposed. © 2018, Springer international Publishing AG.

关键词： Crops

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Implementation of a Multi-Agent System to Support ZDM Strategies in Multi-Stage Environments 16

Implementation of a Multi-Agent System to Support ZDM Strate...

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16th IEEE international conference on Industrial Informatics (INDIN)

作者： Barbosa, Jose Leitao, Paulo Ferreira, Adriano Queiroz, Jonas Geraldes, Carla A. S. Coelho, Joao Paulo Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Campus Santa Apolonia P-5300253 Braganca Portugal Univ Minho Ctr ALGORITMI Campus Azurem P-4800058 Guimaraes Portugal

ISBN: (纸本)9781538648292

This paper describes the development of a multi-agent system (MAS) to support the implementation of zero-defect manufacturing strategies in multi-stage production systems. The MAS infrastructure, combined with on-line inspection tools, data analytics and knowledge generation, constitutes a suitable approach to integrate process and quality control in multi-stage environments. This will allow the early detection of product defects, the adaptation to operating condition changes and the optimisation of manufacturing processes. This type of integrated management structure is aligned with a zero-defect manufacturing production model which is of paramount importance in the actual state-of-the-art manufacturing paradigms. As a proof of concept, the devised manufacturing supervision model was deployed into an experimental multi-stage system that run a set of several tests on electrical motors. The agent-based solution was implemented using the JADE framework and the exchange of information structured by proper data models and industrial based Internet-of-Things and Machine-to-Machine technologies, such as OPC-UA, REST and JSON. The obtained results demonstrate the suitability of the devised integrated management model as a vehicle to achieve dynamic and continuous system improvement in multi-stage manufacturing environments.

关键词： smart inspection tools multi-agent systems zero-defect manufacturing cyber-physical systems

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Automatic event detection in smart cities using big data analytics 1st

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1st international conference on Infrastructure, Technologies and Applications, SCITA 2017

作者： Suma, Sugimiyanto Mehmood, Rashid Albeshri, Aiiad Department of Computer Science FCIT King Abdulaziz University Jeddah21589 Saudi Arabia High Performance Computing Center King Abdulaziz University Jeddah21589 Saudi Arabia

ISBN: (纸本)9783319941790

Big data technologies enable smart city systems in sensing the city at micro-levels, making intelligent decisions, and taking appropriate actions, all within stringent time bounds. Social media have revolutionized our societies and is gradually becoming a key pulse of smart societies by sensing the information about the people and their spatio-temporal experiences around the living spaces. In this paper, we use Twitter for the detection of spatio-temporal events in London. Specifically, we use big data and machine learning platforms including Spark, and Tableau, to study twitter data about London. Moreover, we use the Google Maps Geocoding API to locate the tweeters and make additional analysis. We find and locate congestion around London and empirically demonstrate that events can be detected automatically by analyzing data. We detect the occurrence of multiple events including the London Notting Hill Carnival 2017 event, both their locations and times, without any prior knowledge of the event. The results presented in the paper have been obtained by analyzing over three million tweets. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Big data

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A Novel intelligent Human Resource Management System Based on Cloud computing and Big data and the Applications on smart Cities

A Novel Intelligent Human Resource Management System Based o...

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2018 5th international conference on Social Science and Humanity (ICSSH 2018)

作者： Junzheng Wu Ting Xue Xi'an Peihua University Xi'an Medical University

A persuasive intelligent human resource management for a productive industry will expedite the success of organization and promotes the progress of industry in society. This idea is adopted majorly by the government which implements the concept of smart city in their cities. An intelligent human resource management can simulate various models to promote the interaction between the firm and their employees. In the existing system, decisions based on human resources are dependent on human acknowledgement and decision preferences. Whereas, the proposed system introduces the intelligent human resources management software concept by providing cloud based management along with big data analytics. This paves way for creating decision support applications with the aid of cloud computing technology. Hence the large amount of data to be processed in the industry is assisted with big data analytics methodology to collect large amount of data from industry.

关键词： smart city intelligent human resource Cloud computing Big data analytics

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Thermal Prediction for Immersion Cooling data Centers Based on Recurrent Neural Networks 19th

Thermal Prediction for Immersion Cooling Data Centers Based ...

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19th international conference on intelligent data Engineering and Automated Learning (IDEAL)

作者： Perez, Jaime Perez, Sergio Moya, Jose M. Arroba, Patricia Univ Politecn Madrid Integrated Syst Lab ETSI Telecomunicac Ave Complutense 30 Madrid 28040 Spain Univ Politecn Madrid Ctr Computat Simulat Campus Montegancedo Madrid 28660 Spain

ISBN: (纸本)9783030034931;9783030034924

In the data center's scope, current cooling techniques are not very efficient both in terms of energy, consuming up to 40% of the total energy requirements, and in terms of occupied area. This is a critical problem for the development of new smart cities, which require the proliferation of numerous data centers in urban areas, to reduce latency and bandwidth of processing data analytics applications in real time. In this work, we propose a new disruptive solution developed to address this problem, submerging the computing infrastructure in a tank full of a dielectric liquid based on hydro-fluoro-ethers (HFE). Thus, we obtain a passive two phase-cooling system, achieving zero-energy cooling and reducing its area. However, to ensure the maximum heat transfer capacity of the HFE, it is necessary to ensure specific thermal conditions. Making a predictive model is crucial for any system that needs to work around the point of maximum efficiency. Therefore, this research focuses on the implementation of a predictive thermal model, accurate enough to keep the temperature of the cooling system within the maximum efficiency region, under real workload conditions. In this paper, we successfully obtained a predictive thermal model using a neural network architecture based on a Gated Recurrent Unit. This model makes accurate thermal predictions of a real system based on HFE immersion cooling, presenting an average error of 0.75 degrees C with a prediction window of 1 min.

关键词： Predictive thermal modeling Recurrent neural networks data center Immersion cooling

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