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 p...
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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 que...
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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.
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...
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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.
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 challen...
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 dataanalytics;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.
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 cr...
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 dataanalytics 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.
As the volume data grows exponentially, more and more big data handling approaches are also applied in the linked data cloud. Thus, semantic triplets which are nucleus of the Resource Description Framework (RDF) must ...
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Internet of Things and smart Cities concept have become very well spared in the last years especially with the growth of mobile data bandwidth from 3G to 4G networks. This evolution have led to a new type of ubiquitou...
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ISBN:
(数字)9783319571867
ISBN:
(纸本)9783319571867;9783319571850
Internet of Things and smart Cities concept have become very well spared in the last years especially with the growth of mobile data bandwidth from 3G to 4G networks. This evolution have led to a new type of ubiquitous connectivity through devices in an unconventional manner. The old, client-server approach is not anymore feasible, therefore the Peer-to-Peer concept must be applied. The most common approach in this case represents Cloud based Peer-to-Peer services. This paper presents SPIDER Peer-to-Peer overlay flaws analysis and several requirements for Peer-to-Peer applications considering those flaws.
In collaborative research, developing innovative technologies for education based on cloud computing and dataanalytics raises ethical issues of different nature. This work discusses ethics related within the implemen...
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PAAMS, the internationalconference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the international Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an in...
ISBN:
(纸本)9783319615776
PAAMS, the internationalconference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the international Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2017 in the special sessions: Agent-Based Social Simulation, Modelling and Big-dataanalytics (ABM); Advances on Demand Response and Renewable Energy Sources in Agent Based smart Grids (ADRESS); Agents and Mobile Devices (AM); Computer vision in Multi-Agent Robotics (RV); Persuasive Technologies (PT); Web and Social Media Mining (WASMM). The volume also includes the papers accepted for publication in the Doctoral Consortium (DCAI, DCAI-DECON, ISAMI, MIS4TEL, PAAMS, PACBB 2017 conferences).
The emerging trends of Internet of Things(IoT) and mobile technologies should be taken in right direction which should help the human to improve the quality of life and make the world better place for living. smart ci...
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ISBN:
(纸本)9781538618882
The emerging trends of Internet of Things(IoT) and mobile technologies should be taken in right direction which should help the human to improve the quality of life and make the world better place for living. smart cities mission are one of the visionary ideas of Indian government to bring in better quality of living by providing enhanced performance and interactivity of urban services. The objective would be to reduce costs, resource consumption and to improve contact between them and government. People's safety is one such service which would need to be addressed. This paper proposes a frame work which could be implemented in smart cities ensuring people's safety. The proposed frame work would require mobile application interacting with sensors of IoT enabling people to utilize them easily for monitoring and controlling the environment for providing safety where ever they are and whenever they need.
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