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Network energy consumption analysis and dormancy mechanism based on ant colony algorithm in cloud computing environment for IOT service and real-time embedded industrial control system 27

Network energy consumption analysis and dormancy mechanism b...

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27th Chinese Control and Decision Conference, CCDC 2015

作者： Shi, Shaoling Jing, Zhang Chen, Moliang Hui, Rong Yi, Cui Fu, Xiaodong Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Kunming Yunnan China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming Yunnan China Faculty of Art and Design Kunming Metallurgy College Kunming Yunnan China Yunnan Academy of Scientific and Technical Information Kunming Yunnan China

ISBN: (纸本)9781479970179

At present, cloud computing technology is widely used in IOT(Internet of Things) service and real-time embedded industrial control system energy consumption, problem in the cloud computing has always been the hot topic of industry and academic research. This paper analyzes the energy consumption of each equipment under the dormancy mechanism in the cloud computing environment. Meanwhile, this paper introduces the ant colony algorithm into a basic network energy consumption model, thereby building a new model for the energy consumption optimization. The simulation experiments were implemented on a cloud computing simulation platform CLOUDSIM. In comparison with two algorithms - Min LP and Dijkstra, the model presented in this paper was proved to be effective and more energy-efficient. © 2015 IEEE.

关键词： ant colony algorithm cloud computing dormancy mechanism energy consumption analysis IOT service real-time embedded industrial control system

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A recommender system based on contextual information of click and purchase data to items for e-commerce

A recommender system based on contextual information of clic...

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Third International Conference on Cyberspace Technology (CCT 2015)

作者： Duo Lin Su Jingtao Faculty of Information Engineering and Automation Kunming University of Science and Technology 650500 China School of Computer and Communication Engineering University of Science and Technology Beijing (USTB) 100083 China

A recommender system with good performance for an e-commerce web site is important for both customers and merchants. In most of the existing recommender systems, only the purchase information is utilized data and the navigational and behavioral data are seldom concerned. In this paper, we design a novel recommender system for comprehensive online shopping sites. In the proposed recommender system, the contextual information data, such as access, click, read, and purchase information of a customer, are utilized to calculate the preference degree to each item; then items with larger preference degrees are recommended to the customer. In addition, nonexpendable items are distinguished from expendable ones and handled by a different way. Lastly, we structure an example to show the performance of the proposed recommender system. The results show that the proposed method is well-performed.

关键词： E-commerce Online shopping Preference Degree Recommender System Recommender systems electronic commerce Internet shopping clicking

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The Remotely Controlled and Programmable Control Systems of Process and Positioning - selected issues

The Remotely Controlled and Programmable Control Systems of ...

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International Conference on Event-based Control, Communication, and Signal Processing

作者： Aleksander Skala Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Power Electronics and Automation of Energy Conversion Systems AGH University of Science and Technology Krakow Poland

ISBN: (纸本)9781467378895

The use of supervising of position control in modern industrial automation and building automation systems is becoming more and more common. In addition to basic features and reliability of these systems, increasingly important in their functionalities are opportunities for inter-communication and exchange the process data with other subsystems, visualization of their work or archiving of this data. The interesting specifics of those particular systems are those executed as a unique solution for scientific purposes. This paper based on selected, completed projects, presents the demands of modern automation and control systems - hardware and software system solutions to achieve their desired functionality. It presents both: a way to integrate various systems at the hardware level, but also a way of software objects and communication protocols used for development of control of the whole system.

关键词： automation system positioning system position control PLC controller SCADA system communication protocol visualization of process

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Analysis of the two-chamber shock-absorption system of landing gear based on hybrid methodology

Analysis of the two-chamber shock-absorption system of landi...

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Siberian Conference on Control and Communications (SIBCON)

作者： Ivan N. Tomilov Dmitry N. Dostovalov Elena A. Klokova Urga Technological Institute Tomsk Polytechnic University Urga Russia Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9781479971046

The paper analyzes complex engineering system - liquid-gas shock-absorption system of landing gear. The system has a combined discrete-continuous behavior. Such systems are called hybrid systems. Simulation is performed in order to improve the control law and minimize the overload effect when landing on the airframe. The analysis is carried out by computer simulation with the use of specialized tools.

关键词： Mathematical model Electric shock Shock absorbers Gears Computational modeling Aircraft Absorption

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Training enhanced reservoir computing predictor for landslide displacement

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engineering Geology 2015年 188卷 101-109页

作者： Wei Yao Zhigang Zeng Cheng Lian Huiming Tang School of Automation Huazhong University of Science and Technology Wuhan China College of Computer Science South-Central University for Nationalities Wuhan China Faculty of Engineering China University of Geosciences Wuhan China

Landslide early warning systems can be implemented based on the monitoring and prediction of landslide displacements. The internal mechanisms of landslides are very complex, and precise mechanistic models of landslides are difficult to obtain; therefore, data-driven models are usually applied. From the perspective of dynamic system theory, landslide development should be considered a dynamic process. Because traditional models, such as feed-forward neural networks, can only express static relationships, the applicability of these static models is quite limited in landslide prediction tasks. In our study, recurrent neural networks are established and trained into dynamic predictors of landslide displacement using a training algorithm named reservoir computing. A shortcoming of the reservoir computing algorithm is that the models will not perform well with insufficiently large training sets. Because practical landslide displacement recordings are usually quite short, interpolation techniques are employed to enhance the training of the dynamic predictors. The method proposed in this paper is applied to predict the developments of three landslides in the Three Gorges area, and the predicted values are close to the actual measurements. Improvements relative to sophisticated static predictors and basic dynamic predictors are obvious.

关键词： Landslide Prediction Reservoir computing Recurrent neural network Enhanced training

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qSDS: A QoS-Aware I/O scheduling framework towards software defined storage 15

qSDS: A QoS-Aware I/O scheduling framework towards software ...

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ACM/IEEE Symposium Architecture for Networking and Communications Systems, ANCS

作者： Jianzong Wang Lianglun Cheng Faculty of Computer Guangdong University of Technology Guangzhou P.R. China Department of Electronic and Computer Engineering University of Florida Gainesville Florida Faculty of Automation Guangdong University of Technology Guangzhou P.R. China

ISBN: (纸本)9781467366328

The inadequate resource allocation, lack of I/O performance prediction and insufficient isolation are affecting the storage performance in the multi-tenant cloud storage environment. In order to guarantee the Quality of Service (QoS), Softwaredefined Storage (SDS) is an effective approach in data centers. However, the lack of intelligence, robustness and selfadjustment are blocking the applications and promotions of SDS heavily. This paper focuses on the QoS-Aware I/O resource scheduling problem to build data centers with high availability, scalability and QoS. We will study workload characteristics, requirement analysis, the theory of QoS in SDS and I/O scheduling strategies. We obtain such goals by proposing a mathematics model of workload burstness, QoS semantic description with rule execution mechanisms and dynamic robust I/O scheduling algorithms for multi-type resources allocation. In the current progress, A QoS-Aware I/O Scheduling Framework towards SDS, qSDS has been proposed for the SSD/HDD hybrid storage. The preliminary evaluation in some benchmarks shows that qSDS can gain better performance compared with other strategies.

关键词： Quality of service Resource management Software Benchmark testing Robustness Throughput computers

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Design for remanufacturing respecting reverse logistics processes: A review

Design for remanufacturing respecting reverse logistics proc...

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International Conference on Advanced Logistics and Transport (ICALT)

作者： Atour Taghipour Mourad Abed Nesrine Zoghlami Faculty of International Business University of Le Havre Le Havre France Laboratory of Automation and Mechanics University of Valenciennes Valenciennes France Laboratory of Automation Computer Engineering Signal Central School of Lille Lille France

In these recent years, many organizations have started to consider the importance of green manufacturing and take steps towards this new responsibility. Manufacturers try to achieve an end of life, a cost-effective and a green solution, enabling them to answer effectively to the future legislation regarding responsibility of their products. In this context re-manufacturing, as a solution for green manufacturing, can be defined as the reconstructing or reassembling of a used product by using a combination of process. In order to be feasible, re-manufacturing should answer not only to the legislation, but also it should be profitable for the companies. So, from the phase of conception, it is necessary to design the products such that they can be easily disassembled, cleaned, tested, and re-assembled to have a new life and a new value. Design for re-manufacturing is a new domain of research which try to bring the efficiency through the design while increasing the profitability of the companies. This paper tries to study the literature of design for re-manufacturing and it gives an overview of the existing approaches and models of the design for re-manufacturing. Its aim is showing how the design contributes to re-manufacturing. This research could be used as a guide for future research in the domain of design for re-manufacturing or design for green manufacturing.

关键词： Manufacturing Design methodology Hazards Recycling Biological system modeling Analytical models Automotive engineering

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Supply of order-1 building blocks for functions linearly combined of sinusoidal bases with integral frequencies

Supply of order-1 building blocks for functions linearly com...

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International Joint Conference on Computational Intelligence (IJCCI)

作者： Hongqiang Mo Zhong Li Qiliang Du School of Automation Science and Engineering South China University of Technology Guangzhou P.R. China Faculty of Mathematics and Computer Science FernUniversitaet in Hagen Hagen Germany

ISBN: (纸本)9781509019687

In line with the theory of schema sampling, a hypothesis could be made that sufficient supply of low-order building blocks (BBs) was one of the necessary conditions for a genetic algorithm(GA) to work. A consequential question of this hypothesis regards, when a certain fitness function is optimized with a commonly used GA, whether it is rare or common that there are plenty of low-order BBs. It is remarked that, when a base-m encoded GA is applied to a fitness function that is linearly combined of sinusoidal basis functions with integral frequencies, it is unlikely to obtain order-1 BBs with fixed positions at multiple loci, i.e., it is rare that there are plenty of order-1 BBs. However, if a considerable part of the sinusoidal basis functions are with frequencies exponential to a positive integer m, a base-m encoding can provide relatively more order-1 BBs compared with the encodings with cardinalities other than m.

关键词： Encoding Genetic algorithms Sociology Statistics Search problems Optimization Genetics

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3D garment segmentation based on semi-supervised learning method

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Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 657-665页

作者： Huang, Mian Liu, Li Liu, Ruomei Fu, Xiaodong Liu, Lijun Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

In this paper, we propose a semi-supervised learning method to simultaneous segmentation and labeling of parts in 3D garments. The key idea in this work is to analyze 3D garments using semi-supervised learning method which can label parts in various 3D garments. We first develop an objective function based on Conditional Random Field (CRF) model to learn the prior knowledge of garment components from a set of training examples. Then, we exploit an effective training method that utilizes JointBoost classifiers based on the co-analysis for garments. And we modify the JointBoost to automatically cluster the segmented components without requiring manual parameter tuning. The purpose of our method is to relieve the manual segmentation and labeling of components in 3D garment collections. Finally, the experimental results show the performance of our proposed method is effective. © 2015 Binary Information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Random processes

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A survey of major techniques of clothing in vision

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Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 725-732页

作者： Huang, Dongyan Liu, Li Fu, Xiaodong Liu, Lijun Huang, Qingsong Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

Clothing in vision plays an important role in many applications of digital clothing, virtual fitting, fashion design and manufacturing. The research of clothing in vision is full of technical challenges, such as background detection and features extraction. In this paper, we introduce the latest remarkable works of clothing in vision area, including clothing segmentation, clothing recognition and clothing retrieval. There are many remarkable advances on the basis of the predecessors' achievements in the three fields. Firstly, we provide an overview of the techniques for clothing segmentation and clothing recognition. Then, we introduce and analyze the representative works on clothing retrieval. Finally, we forecast broader application prospect and future research work of clothing in vision. © 2015 Binary Information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Textiles

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