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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

2017 Mediterranean Symposium on smart City Application, SCAMS 2017

ISBN: (纸本)9781450352116

The proceedings contain 30 papers. The topics discussed include: towards a system for integrating heterogeneous health records;applying text mining to predict learners' cognitive engagement;an adult learner's knowledge model based on ontologies and rule reasoning;big data architecture for decision making in protocols and medications assignment;3D GIS for smart cities;cloud-based integrated information system for medical offices;ICT assessment axes for the smart city approach;XACML policies into Mongodb for privacy access control;implementation of the algorithms of ECG signal processing on embedded architectures: a survey;perception of a new framework for detecting phishing web pages;TV home-box based IoT for smart home;smart adaptive learning based on Moodle platform;SVG image comparison using commands of element path;wireless sensors networks challenges;energy dynamic MANET on-demand with error rate QOS (e-DYMO-Er) routing protocol for wireless sensor networks;towards a big data analytics framework for smart cities;remote controlled human navigational assistance for the blind using intelligent computing;study of the impact of load and density on the behavior of routing protocols AODV and DSDV in the VANET networks;modeling of piezoelectric sensors for feat heart rate signal;first Africa and morocco NB-IoT experimental results and deployment scenario: new approach to improve main 5G KPIs for smart water management;survey on nature inspired algorithm for smart city applications;and detection of driver drowsiness based on the Viola & Jones method and logistic regression analysis.

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smart cities: Progress and Problems in India

Smart cities: Progress and Problems in India

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international conference on Advances in computing, Communication Control and Networking

作者： Priyanka Gupta Rajan Gupta GGSIPU New Delhi India

The urge of urbanization is increasing at a rapid rate worldwide. It ensues the emergence and use of various digital technologies like Internet of Things, Cloud computing, Big data analytics, intelligent computing etc. The one important and most hyped application of such technologies is smart Cities. This concept revitalizesthe whole city by strengthening its core competencies. It automates every sector like transportation, homes, traffic, agriculture, water and electricity supply, waste management, health, education etc. This notion is implementing in various parts of the world leading to the new level of urbanization. The perception of this powerful approach in India is presented in this paper. The current stage of this project and the possible roadblocks in implementing it in Indian scenario is also discussed in this manuscript.

关键词： smart city Urbanization Technologies

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11th international conference on Ubiquitous Information Technologies and Applications, CUTE 2016

11th International Conference on Ubiquitous Information Tech...

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11th international conference on Ubiquitous Information Technologies and Applications, CUTE 2016

ISBN: (纸本)9789811030222

The proceedings contain 171 papers. The special focus in this conference is on Ubiquitous Information Technologies and Applications. The topics include: Design and development of a robotic arm for rehabilitation and training;intelligent food distribution monitoring system;real-time dynamic motion capture using multiple kinects;SOA based equipment data management system for smart factory;the problem analysis of specific personal information protection assessment in Japan case;using a fine-grained hybrid feature for malware similarity analysis;finding comfortable settings of snake game using game refinement measurement;initialization of software defined wireless bacteria-inspired network platform;an extension of QSL for E-voting systems;a clustered index structure for efficient sequential access;performance analysis of tree-based algorithms for incremental high utility pattern mining;EPD noticeboard for posting multiple information;resource pooling mechanism for mobile cloud computing service;a comparison of data mining methods in analyzing educational data;survey of MCC architectures for computing service;drone classification by available control distances;platform independent workflow mechanism for bigdata analytics;water surface simulation based on perlin noise and secondary distorted textures;restoration method for satellite image based on content-aware reciprocal cell pool;classification algorithms for privacy preserving in data mining: a survey;a secure system framework for an agricultural IoT application;localization technology in wireless sensor networks using RSSI and LQI;a user empirical context model for a smart home simulator and a study of malicious code classification system using minhash in network quarantine using SDN.

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international conference on Communication on Networks, COMNET 2016

International Conference on Communication on Networks, COMNE...

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international conference on Communication on Networks, COMNET 2016

ISBN: (纸本)9789811027499

The proceedings contain 75 papers. The special focus in this conference is on Communication on Networks. The topics include: A novice approach for web application security;human computer interaction through hand gestures for home automation using Microsoft kinect;segmentation and recognition of fingers using Microsoft kinect;randomness evaluation of ZUC, SNOW and GRAIN stream ciphers;more stable election of cluster head protocol for heterogeneous wireless sensor network;use of ICT for development of smart city-Ahmedabad;the efficient scheme for contention reduction in bufferless OBS network;empowering throughput over proactive wireless network using multistreaming;achieving energy aware mechanism in cloud computing environment;reliability-aware workflow scheduling using Monte Carlo failure estimation in cloud;designing an enhanced simulation module for multimedia transmission over wireless standards;mitigating data segregation and privacy issues in cloud computing;software risk measurement and interpretation with generated precedence matrix;a novel approach to design of adaptive search system using second generation big data analytics cooperative sensors for identifying an impulsive events of asynchronous environment;trust integrated federated architecture ranking service models in cloud computing environment;home automation using single board computing as an internet of things application;classification of technical and management metrics in object oriented software engineering;chronic kidney disease prediction using back propagation neural network algorithm;an efficient system model for multicasting measured noise value of polluting industries and image classification using discrete block truncation coding.

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Unicorn: Unified resource orchestration for multi-domain, geo-distributed data analytics

Unicorn: Unified resource orchestration for multi-domain, ge...

引用

2017 IEEE smartWorld Ubiquitous Intelligence and computing, Advanced and Trusted Computed, Scalable computing and Communications, Cloud and Big data computing, Internet of People and smart City Innovation, smartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017

作者： Xiang, Qiao Chen, Shenshen Gao, Kai Newman, Harvey Taylor, Ian Zhang, Jingxuan Yang, Yang Richard Tongji University China Yale University United States Tsinghua University China California Institute of Technology United States Cardiff University United Kingdom University of Notre Dame United States

ISBN: (纸本)9781538604342

data-intensive analytics is entering the era of multi-organizational, geographically-distributed, collaborative computing, where different organizations contribute various resources, e.g., sensing, computation, storage and networking resources, to collaboratively collect, share and analyze extremely large amounts of data. This new paradigm calls for a framework to manage a large set of distributively owned heterogeneous resources, with the fundamental objective of efficient resource utilization, following the autonomy and privacy of resource owners. In this paper, we design Unicorn, the first unified framework that accomplishes this goal. The foundation of Unicorn is RSDP, an autonomous, privacy-preserving resource discovery and representation system to provide accurate resource availability information. Its core is a novel abstraction called resource vector abstraction which describes the resource availability in a set of linear constraints. In addition, Unicorn also provides a series of advanced solutions to support automatic, efficient management of resource dynamics on both supply and demand sides, including an automatic workflow transformer, an intelligent resource demand estimator and an efficient, scalable multi-resource orchestrator. Being the first unified framework for this new paradigm, Unicorn plays a fundamental role in next-generation data-intensive collaborative computing systems. © 2017 IEEE.

关键词： Economics

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OpenCV and Matlab based car parking system module for smart city using circle hough transform

OpenCV and Matlab based car parking system module for smart ...

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2017 international conference on Energy, Communication, data analytics and Soft computing, ICECDS 2017

作者： Trivedi, Janak Devi, Mandalapu Sarada Dhara, Dave Electronics and Communication Department- G.E.C. Bhavnagar G.T.U. Bhavnagar Gujarat India

ISBN: (纸本)9781538618868

Finding parking availability for a specific time period is a very tedious job in urban areas. The Indian government now focusing on the smart city project, already they published city name for an upcoming smart city project. In smart city application, intelligent transportation system (ITS) plays an important role- in that finding parking place, specifically for the car owner to avoid time computation, as well as congestion in traffic is going to be very important. In this article, we propose an intelligent car parking system for the smart city using Circle Hough Transform (CHT). © 2017 IEEE.

关键词： smart city

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Self-corrective Dynamic Networks via Decentralized Reverse Computations 14

Self-corrective Dynamic Networks via Decentralized Reverse C...

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14th IEEE international conference on Autonomic computing (ICAC)

作者： Pournaras, Evangelos Nikolic, Jovan Swiss Fed Inst Technol Computat Social Sci Zurich Switzerland

ISBN: (纸本)9781538617625

The feasibility of large-scale decentralized networks for local computations, as an alternative to big data systems that are often privacy-intrusive, expensive and serve exclusively corporate interests, is usually questioned by network dynamics such as node leaves, failures and rejoins in the network. This is especially the case when decentralized computations performed in a network, such as the estimation of aggregation functions, e.g. summation, are linked to the actual nodes connected in the network, for instance, counting the sum using input values from only connected nodes. Reverse computations are required to maintain a high aggregation accuracy when nodes leave or fail. This paper introduces an autonomic agent-based model for highly dynamic self-corrective networks using decentralized reverse computations. The model is generic and equips the nodes with the capability to disseminate connectivity status updates in the network. Highly resilient agents to the dynamic network migrate to remote nodes and orchestrate reverse computations for each node leave or failure. In contrast to related work, no other computational resources or redundancy are introduced. The self-corrective model is experimentally evaluated using real-world data from a smart grid pilot project under highly dynamic network adjustments that correspond to catastrophic events with up to 50% of the nodes leaving the network. The model is highly agile and modular and is applied to the large-scale decentralized aggregation network of DIAS, the Dynamic intelligent Aggregation Service, without major structural changes in its design and operations. Results confirm the outstanding improvement in the aggregation accuracy when self-corrective actions are employed with a minimal increase in communication overhead.

关键词： self-correction adaptation accuracy reverse computation data analytics decentralized network aggregation agent migration robustness fault-tolerance

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Monitoring Energy Consumption System to Improve Energy Efficiency 5th

Monitoring Energy Consumption System to Improve Energy Effic...

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World conference on Information Systems and Technologies (WorldCIST)

作者： Marques, Goncalo Pitarma, Rui Polytech Inst Guarda Unit Inland Developement Av Dr Francisco Sa Carneiro 50 P-6300559 Guarda Portugal

ISBN: (纸本)9783319565385;9783319565378

The National Action Plan for Energy Efficiency sets targets for the years 2016 to 2020 in which energy efficiency is a European priority covering all Member States. Energy efficiency has been increasing its importance over the years National and international laws have been introduced to reinforce that concept. The Internet of Things (IoT) is a concept created to define the technological revolution of the devices used in day-to-day connected to the global Internet network. Thereby associating the need for monitoring of energy consumption to the paradigm of the Internet of Things, we intend to design and build an automatic system that allows monitoring and control of electrical devices connected to the Internet via Wi-Fi denominated by iPlug. This system is a smart plug that fits a generic socket and provides information of power consumption (s) device (s) connected to it by calculating the current and the line voltage, this information is stored in a database. The iPlug also lets you know whether the outlet is on or off, change your status, and access to consumption data through two applications, a Web portal and an application for iOS.

关键词： Energy efficiency Sustainability Monitoring IoT (Internet of Things) smart cities iOS Web services

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Proceedings - 2017 2nd international conference on Recent Trends and Challenges in Computational Models, ICRTCCM 2017

Proceedings - 2017 2nd International Conference on Recent Tr...

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2nd international conference on Recent Trends and Challenges in Computational Models, ICRTCCM 2017

ISBN: (纸本)9781509047994

The proceedings contain 68 papers. The topics discussed include: resource scheduling algorithms in cloud environment - a survey;survey: handling on difficulties in Internet of things (IoT) applications and its challenges;social influence algorithms and emotion classification for prediction of human behavior: a survey;towards comprehensive understanding of event detection and video summarization approaches;an intelligent agent and FSO based efficient routing algorithm for wireless sensor network;uav assisted automated remote monitoring and control system for smart water bodies;a graph-based mathematical model for an efficient load balancing and fault tolerance in cloud computing;a survey on efficient extraction of named entities from new domains using big data analytics;landcover mapping and change detection of geographical area on the map;mining target opinions from online reviews using semi-supervised word alignment model;author similarity identification using citation context and proximity;design and implementation of the monitoring and control system for unified power quality conditioner using soft computing method;efficient multi-keyword search over encrypted data in untrusted cloud environment;a study on vehicle to vehicle collision prevention using fog, cloud, big data and elliptic curve security based on threshold energy efficient protocol in wireless sensor network;and a robust and efficient three-factor authentication and session key agreement mechanism for SIP.

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Proceedings - 2017 international conference on New Trends in computing Sciences, ICTCS 2017

Proceedings - 2017 International Conference on New Trends in...

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2017 international conference on New Trends in computing Sciences, ICTCS 2017

ISBN: (纸本)9781538605271

The proceedings contain 57 papers. The topics discussed include: state of the art in computer forensic education;link prediction based on whale optimization algorithm;an efficient e-coin scheme under elliptic curve cryptography;comparison of crossover types to build improved queries using adaptive genetic algorithm;reconfigurable implementation of fuzzy inference system using FPGA;CNN-based prediction of frame-level shot importance for video summarization;two stage intelligent automotive system to detect and classify a traffic light;evaluating the performance of 'derandomized-L-Shade' algorithm on CEC 2014 benchmark functions;a novel cloud services recommendation system based on automatic learning techniques;statistical selection of CNN-based audiovisual features for instantaneous estimation of human emotional states;motor imagery EEG signal processing and classification using machine learning approach;a new technique for file carving on Hadoop ecosystem;cache optimization in IPTV network using big data analytics and mobile agent technology;development of customs prediction model for online ordering;optimized ANN-ABC for thunderstorms prediction;an efficient two-server authentication and key exchange protocol;smart parser for identifying and detecting insecure functions;state of the art in computer forensic education-a review of computer forensic programmes in the UK, Europe and US;experimental evaluation of a multi-layer feed-forward artificial neural network classifier for network intrusion detection system;and visualizing clustered Botnet traffic using T-SNE on aggregated netflows.

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