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检索条件"任意字段=Proceedings of the 6th International Conference on Algorithms, Computing and Systems"

共 6565 条记录，以下是4801-4810 订阅

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I-MMST: A New Task Scheduling Algorithm in Cloud computing 14th

I-MMST: A New Task Scheduling Algorithm in Cloud Computing

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14th international conference on Intelligent computing (ICIC)

作者： Al-Maytami, Belal Ali Fan, Pingzhi Hussain, Abir Southwest Jiaotong Univ Inst Mobile Commun Chengdu Sichuan Peoples R China Liverpool John Moores Univ Dept Comp Sci Liverpool L3 3AF Merseyside England

ISBN: (纸本)9783319959320;9783319959337

In grid network and heterogeneous computing systems, the scheduling algorithms are important for obtaining high performance through transferring the data. In this paper, we present a new scheduling algorithm for a bounded number of fully connected graph based on Improve Max-Min, Min-Min and MiM-MaM scheduling task, (I-MMST) to optimize a new task scheduling algorithm for a specific data over cloud computing. Also, we offer significant makespan improvements by introducing a look-ahead feature without increasing the time complexity associated with computation cost by using the principle of components analysis algorithm (PCA). the analysis and experiments based on randomly generated graphs with various characteristics, show that our scheduling algorithm significantly surpass previous approaches in term of makespan, speedup, and efficiency.

关键词： Machine learning Denial of service IPV6 DAG Task scheduling

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A structure learning algorithm for inference of gene networks from microarray gene expression data using Bayesian networks

A structure learning algorithm for inference of gene network...

引用

7th IEEE international conference on Bioinformatics and Bioengineering, BIBE

作者： Numata, Kazuyuki Imoto, Seiya Miyano, Satoru Human Genome Center Institute of Medical Science University of Tokyo 4-6-1 Shirokanedai Minato-ku Tokyo 108-8639 Japan

ISBN: (纸本)1424415098

Estimation of gene networks based on microarray gene expression data is an important problem in systems biology. In this paper we use Bayesian networks as a mathematical model for reverse-engineering gene networks from microarray data. In such a case, structural learning of Bayesian networks is known as an NP-hard problem and we need to use heuristic algorithms to find better network structures. Recently, several algorithms have been proposed to estimate optimal Bayesian network structure, but the number of genes included in the network is limited less than 30 or so. In order to apply Bayesian network approach to drug target gene discovery, we need to consider gene networks with several hundreds of genes. therefore we need to develop more efficient algorithms to learn Bayesian network structure based on observed data. In this paper we propose an efficient structural learning algorithm for Bayesian networks by extending K2 algorithm that is one of the standard learning algorithms in Bayesian networks. We conduct Monte Carlo simulations to examine the effectiveness of the proposed algorithm by comparing with greedy hill-climbing algorithm. We also show the application of yeast gene network estimation based on the proposed algorithm. ©2007 IEEE.

关键词： Bayesian networks

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WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS

引用

ASME 7th international conference on Energy Sustainability (ES2013)

作者： Vijayaraghavan, Krishna Tyagi, Himanshu Randhawa, Shahzada Singh, Manpreet Simon Fraser Univ Mechatron Syst Engn Surrey BC Canada Indian Inst Technol Ropar Sch Mech Mat & Energy Engn Rupnagar Punjab India Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)97800791855515

India has always been victim of power failures or blackouts and the recent July 2012 countrywide blackout is a perfect example for it. It is expected that due to the widening gap between supply and demand, such instances of power failure would occur more regularly in future. Such blackouts are also be foreseen in other parts of the world. the electricity grids in many countries are highly centralized and are mostly dependent on fossil-fuel based energy sources (coal, oil, natural gas etc). Due to the rapid rise in the living standards of developing countries such as India and China, there is an increase in demand for electricity for running various appliances, as well as for heating and air-conditioning equipment. Such an increased in demand places tremendous strain on ailing centralized grid burning fossil fuel. the use of renewable energy sources (such as solar and wind) could potentially allow large amount of demand to be met though alternative means and offset the demand on the grid. the advancement in technology has encouraged the implementation of renewable resources especially solar and wind. Hybrid power systems (HPS) that consist of these resources can significantly lower storage requirements. Furthermore, besides being cost-efficient, it is coherent to the weather conditions since solar and wind complement each other well. For highly efficient hybrid power systems to be developed, a significant degree of research must be applied to further their development. this includes tasks such as modeling these systems and applying proficient control algorithms to maximize efficiency. this paper focuses on simulation of an HPS consisting of a photovoltaic (PV) module, wind turbine (WT), and a lead acid battery through MATLAB/SIMULINK software. Moreover, a control algorithm is proposed, which leads to an efficient and autonomous operation of the HPS, along with maximizing power output from PV module and WT. the model and control system were tested using sample hourly

关键词： Control algorithms Combustion Lead-acid batteries Wind turbines Heating algorithms Simulation Hybrid power systems Wind Energy resources Computer software Developing nations Solar energy Renewable energy sources Modeling Air conditioning Control systems Fossil fuels Natural gas China Solar radiation Coal Wind velocity Matlab Temperature Supply and demand Storage Stress Failure

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Terahertz to Bits and Bits to Terahertz : Universally Programmable Chip-scale TeraHertz systems 20

Terahertz to Bits and Bits to Terahertz : Universally Progra...

引用

7th ACM international conference on Nanoscale computing and Communication (NanoCom)

作者： Sengupta, Kaushik Lu, Xuyang Venkatesh, Suresh Wu, Xue Princeton Univ Princeton NJ 08544 USA Qualcomm Inc San Diego CA USA

ISBN: (纸本)9781450380836

the high millimeter-Wave and Terahertz spectrum above 100 GHz will form the underpinning of a broad set of game-changing future technology including high resolution sensing, imaging, robotics, autonomous systems, and wireless communication. In the last decade, we have seen a tremendous surge in efforts towards enabling chip-scale technology to address signal generation and detection in the thz spectrum. However, there lie several fundamental challenges to translate these efforts into versatile technology that can operate in complex environments that requires properties such as dynamic reconfigurability and rapid adaptability. In this paper, we highlight a new design space that emerges by eliminating the classical block-by-bock design approach. the fundamental principle behind this approach is that the unique wavelength scale at thz (of the order of millimeter/sub-millimeter) is comparable to a typical chip dimension. this wavelength/chip dimension equivalence allows the chip to operate in a new electromagnetic (EM) regime with novel scattering and radiating properties, while the integrated active devices have the ability to actively synthesize, manipulate and sense thz EM fields at sub-wavelength scales. this approach opens up the a new design space that can break many of the trade-offs in the classical design regime. In this paper, we provide design examples that aims towards the ultimate programmable thz sensor/source in silicon-based chips that range from fully integrated chip-scale thz spectroscopes to programmable thz sensors, sources and spatio-temporal modulated arrays for physical layer security. these design examples serve to illustrate the unique opportunities enabled through such a holistic design approach.

关键词： wireless communication Terahertz 5G 6G millimeter-wave security sensor spectroscopy imaging phased arrays MIMO

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the effects on respiration of Zopiclone 7.5mg on site of polysomnography - A preliminary study

The effects on respiration of Zopiclone 7.5mg on site of pol...

引用

6th international conference on Complex Medical Engineering, CME 2012

作者： Nakajima, Toru Department of Neuropsychiatry Kyorin University Medical School Shinkawa 6-20-2 Mitaka Tokyo 181-8611 Japan

ISBN: (纸本)9781467316163

the respiratory effects of Zopiclone (ZPC) 7.5mg treatment for nocturnal awaking on site of polysomnography was evaluated. Apnea hypopnea indices adjusted by sleep stage (in non-REM sleep) and body position (at supine position) one hour just before and after taking ZPC were compared in 10 polysomnography sessions. Probability in marginal homogeneity test did not reach the significant level. ZPC 7.5mg, which does not induce the respiratory change, is suitable for treating insomnia at polysomnography to assess the severity of sleep apnea syndromes. © 2012 IEEE.

关键词： Polysomnography zopiclone Sleep Apnea Syndromes respiration Sleep Stages Sleep (REM) body position

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Secure Communication through Quantum Channels: A Study of Quantum Cryptography 6th

Secure Communication Through Quantum Channels: A Study of Qu...

引用

6th international conference on Intelligent computing and Optimization, ICO 2023

作者： Ukidve, Seema Yadav, Ramsagar Manshahia, Mukhdeep Singh Chaudhary, M.P. Maharashtra Mumbai India Department of Mathematics Punjabi University Patiala Punjab Patiala India International Scientific Research and Welfare Organization New Delhi India

ISBN: (纸本)9783031503269

Quantum communication and quantum cryptography are two rapidly growing fields that aim to utilize the principles of quantum physics for secure communication and data encryption. In this paper, we provide an overview of the current state of research in quantum communication and quantum cryptography. We discuss the basic principles and concepts of quantum communication and cryptography, including quantum key distribution, quantum teleportation, and quantum digital signatures. We also review the various physical implementations of quantum communication systems, such as fiber-optic and free-space links, and their applications in practical scenarios, such as secure financial transactions and military communications. We analyze the security of quantum communication and cryptography protocols and compare them with classical encryption methods. We highlight the advantages of quantum communication and cryptography over traditional methods, such as its ability to provide unconditional security and its resistance to attacks from quantum computers. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Quantum communication

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Heuristic Algorithm based Energy Management System in Smart Grid 10

Heuristic Algorithm based Energy Management System in Smart ...

引用

10th international conference on Complex, Intelligent, and Software Intensive systems (CISIS)

作者： Rehman, Naveed ur Rahim, Hassan Ahmad, Adnan Khan, Zahoor Ali Qasim, Umar Javaid, Nadeem COMSATS Inst Informat Technol Islamabad 44000 Pakistan Dalhousie Univ FE Internetworking Program Halifax NS B3J 4R2 Canada Higher Coll Technol CIS Fujairah Campus Abu Dhabi 4114 U Arab Emirates Univ Alberta Edmonton AB T6G 2J8 Canada

ISBN: (纸本)9781509009879

Smart grid is one of the most advanced technologies which plays a key role in maintaining balance between demand and supply by implementing demand response (DR). Residential users basically effect the overall performance of traditional grid due to maximum requirement of their energy demand. Home energy management (HEM) benefit the end user by monitoring, managing and controlling their energy consumption. Appliance scheduling is integral part of HEM as it manages energy demand according to supply by automatically controlling the appliances or by shifting the load from peak to off peak hours. Recently different techniques based on artificial intelligence (AI) are used to meet these objectives. In this research work, we evaluate the performance of HEM which is designed on the basis of heuristic algorithms;wind driven optimization (WDO), ganetic algorithm (GA) and binary particle swarm optimisation (BPSO). Finally, simulations are conducted in MATLAB to validate the performance of scheduling techniques in terms of cost, reduced peak to average ratio (PAR) and equally distributed energy consumption pattern. the simulation results prove that WDO algorithm based HEM proves to perform efficiently than BPSO and GA.

关键词： Heuristic algorithms

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A comprehensive approach for situation-awareness based on sensing and reasoning about context

引用

5th international conference on Ubiquitous Intelligence and computing

作者： Springer, thomas Wustmann, Patrick Braun, Iris Dargie, Waltenegus Berger, Michael Tech Univ Dresden Inst Syst Architecture Comp Networks Grp Dresden Germany Siemens AG Corp Technol Intelligent Autonomous Syst CTIC 6 Munich Germany

ISBN: (纸本)9783540692928

Research in Ubiquitous computing and Ambience Intelligence aims at creating systems able to interact in an intelligent way with the environment, especially the user. To be aware of and to react on the current situation usually a complex set of features describing particular aspects of the environmental state has to be captured and processed. Currently, no standard mechanisms are available to model and reason about complex situations. In this paper, we describe a comprehensive approach for situation-awareness which covers the whole process of context capturing, context abstraction and decision making. Our solution comprises an ontology-based description of the sensing and reasoning environment, the management of sensing devices and reasoning components and the integration of these components into applications for decision making. these technological components are embedded into an conceptual architecture and generic framework which enable an easy and flexible development of sit nation-aware systems. We illustrate the use of our approach based on a meeting room scenario.

关键词： Decision making

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K-anonymous communication in mobile ad-hoc networks

K-anonymous communication in mobile ad-hoc networks

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20th IASTED international conference on Parallel and Distributed computing and systems, PDCS 2008

作者： Spiewak, Dagmara Engel, thomas Abendroth, Joerg University of Luxembourg 6 r. Richard Coudenhove-Kalergi L-1359 Luxembourg Luxembourg Nokia Siemens Networks Sankt-Martin-Strasse 53 81669 Muenchen Germany

ISBN: (纸本)9780889867741

Communication in mobile ad-hoc networks is vulnerable to numerous passive attacks, such as eavesdropping of sensitive information. Encryption helps to protect the confidentiality of transmitted data. However, tracking mobile communications introduces further threats to the reliability of mobile networks. After a successful identification of communicating entities, an adversary on the multi-hop communication path is able to selectively drop packets in order to save own resources. In addition, active attacks are frequently launched subsequently to passive attacks, allowing malicious network entities to disturb the functionality of the mobile network. In this paper, we present the concept of our protocol for k-anonymous communication in mobile ad-hoc networks. the basic idea of the protocol is to hide mobile communication within the communication of k honest nodes. Hence, an adversary trying to identify communication partners can just narrow down its search to at least k entities. A trust system helps to determine the anonymity-level k of the communication. A node wishing to communicate, is able to set the anonymity-level k for each communication dynamically, always in dependence on the sensitivity of transmitted data.

关键词： Mobile ad hoc networks

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A density-based clustering structure mining algorithm for data streams

A density-based clustering structure mining algorithm for da...

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1st international Workshop on Big Data, Streams and Heterogeneous Source Mining: algorithms, systems, Programming Models and Applications, BigMine-12 - Held in Conjunction with SIGKDD conference

作者： Wang, Huan Yu, Yanwei Wang, Qin Wan, Yadong School of Computer and Communication Engineering University of Science and Technology Beijing 30th Xueyuan Road Haidian District Beijing China

ISBN: (纸本)9781450315470

Today, advances in hardware and storage techniques demand for automatically data mining on data streams. Clustering analysis is an importance tool on data streams mining. though density-based clustering algorithms on data streams now could discover clusters of arbitrary shapes, their effectiveness are depended on parameters settings. Also global parameters used in these algorithms limit their ability in discovering overlapping clusters. In this paper, we propose a novel density-based clustering structure mining algorithm for data streams-OPCluStream. It could adaptively discover clusters of arbitrary shapes and overlapping clusters. Satisfying one-pass constraint, OPCluStream uses a tree topology to index points on which points link to other related ones using pointers directionally. this tree topology records relationships among points, which represent clustering results including a broad range of Eps settings and could discover clusters through a transformation to clustering structure. Clustering structure is equivalent to the index structure and convenient to be used. In addition, OPCluStream has a high efficiency on clustering since a usage of tree topology in points' index and a designed limited computing area when new points added to data streams. A number of experiments on synthetic and real data sets illustrate the effectiveness, efficiency and insights provided by our method. Copyright © 2012 ACM.

关键词： Efficiency

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