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2014 IEEE International Conference on Progress in Informatics and Computing

作者： Dan Wu Bo Liu Zhijian Chen Wenyan Xie Xiang Huang Shuwei Pei Bin Sheng Donghan Feng Information Center China Southern Power Grid Co. Ltd. Dept. of Computer Science and Engineering Shanghai JiaoTong University Network & Information Branch Guangdong Electric Power Design Institute The State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Dept. of Electrical Engineering Shanghai JiaoTong University

Charging of large-scale electric vehicles will have a significantimpact on the grid sothat their charging schedule needs tobe optimized. The traditional centralized scheduling method requires high performance in information exchange and computing. Based on the analysis of the features of electric vehicle charging load and the research of cloud computing, we propose a cloud computing based schedule platform for optimal charging of electric vehicles. In addition, the function and implementation of the three basic modules of the platform(the data collection module, the cloud computing center and the control center) are exposed. The platform performs well in optimal scheduling for electric vehicles. In addition, the platform can alsomake full use of the computing resource and reduce the communication congestion.

关键词： cloud computing electric vehicle optimal charging service platform

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Predictions based on Twitter — A critical view on the research process

Predictions based on Twitter — A critical view on the resea...

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International Conference on Data and Software engineering (ICODSE)

作者： Lisa Madlberger Amai Almansour Information & Software Engineering Group Vienna University of Technology Vienna Austria Dept. of Computer Science Kings College London London United Kingdom

Twitter data is increasingly used to make predictions about real-world events. However recently, several studies directly or indirectly questioned proposed Twitter prediction procedures. In this paper, we conduct a literature review to investigate the research processes adopted by previous Twitter prediction studies in detail. We first identify the actors involved, and then we study how they influence the different phases of the research process. We found that in Twitter prediction research up to four actors perform several sampling, filtering, classification and assessment decisions throughout the development of prediction models. If these decisions and the reasons behind them are not sufficiently documented, the developed prediction methods cannot be reproduced in future research and consequently their validity and reliability are hard to assess.

关键词： Twitter Reliability Filtering Predictive models Motion pictures Data collection Data models

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Kernel-based hashing for content-based image retrval in large remote sensing data archive

Kernel-based hashing for content-based image retrval in larg...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Begiim Demir Lorenzo Bruzzo Dept. of Information Engineering and Computer Science University of Trento Trento Italy Universita degli Studi di Trento Trento Trentino-Alto Adige IT

This paper presents hashing based approximate nearest neighbor search algorithms that allow fast and accurate image retrieval in huge remote sensing data archives. Hashing methods aim at mapping high-dimensional image feature vectors into short binary codes based on hashing functions. Then, the image retrieval is accomplished according to Hamming distances of image hash codes. In particular, in this paper two hashing methods are adopted for RS image retrieval problems. The former aims at defining hash functions in the kernel space by using only unlabeled images. The latter leverages on the semantic similarity given in terms of annotated images to define much distinctive hash functions in the kernel space. The effectiveness of both methods is analyzed in terms of RS image retrieval accuracy as well as retrieval time. Experiments carried out on an archive of aerial images show that the presented hashing methods are one hundred times faster than those that exploit an exact nearest neighbor search while keeping a high retrieval accuracy.

关键词： Image retrieval Kernel Accuracy Vectors Remote sensing Training Binary codes

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Characterization of nano Schottky junctions for a new structure of nano-electronic devices

Characterization of nano Schottky junctions for a new struct...

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IEEE Conference on Nanotechnology

作者： Moh'd Rezeq Khouloud Eledlebi Mohamed Ismail Bo Cui Ripon Kumar Dey Applied Mathematics and Sciences Department Khalifa University of Science Technology and Research (KUSTAR) Abu Dhabi UAE Electrical and Computer Engineering (ECE) Department KUSTAR Abu Dhabi UAE Electrical and computer Engineering Dept. University of Waterloo Waterloo Ontario Canada Electrical and computer Engineering Dept. University of Waterloo Ontario Canada

ISBN: (纸本)9781479956234

There is an increasing interest in reducing the size of semiconductor devices to sub 20 nm scale for technical requirements, like low power consumption and high switching speed. Electronic devices based on nano Schottky junctions have the potential to address these issues. This is because nano metal-semiconductor contacts are expected to have narrower barriers compared to conventional Schottky diodes. Nano Schottky junctions have been investigated experimentally using gold (Au) coated AFM tips in contact with different silicon (Si) substrates. For nano-tips with an apex radius around 7 nm, the current-voltage (I-V) curves on low n-dope Si substrates have showed a reversed rectification diode behavior compared to the high n-dope Si samples. We have used a new theoretical model to study the electric field enhancement at the nano metal-semiconductor interface, and thus the enhancement of the tunneling current. We have found out that the tunneling current at the reverse bias is dominant on low dope substrates and very small on high dope substrates. This accounts for the reversed I-V rectification behavior on low dope Si Schottky contacts. The calculated I-V curves showed good agreement with the experimental results for both types of Si samples.

关键词： Substrates Silicon Nanoscale devices Gold Schottky barriers Junctions

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HILL: A Hybrid Indoor Localization Scheme

HILL: A Hybrid Indoor Localization Scheme

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Sahil Anang Kharidia Qiang Ye Srinivas Sampalli Jie Cheng Hongwei Du Lei Wang Faculty of Computer Science Dalhousie University Halifax Canada Dept. of Computer Science and Information Technology UPEI Charlottetown Canada Harbin Institute of Technology Shenzhen Graduate School Shenzhen China School of Computer Science and Engineering Beihang University China

Localization is a fundamental operation in wireless networks. Location determination is normally accomplished using the Global Positioning System (GPS) for outdoor applications. For indoor localization, GPS does not work due to the lack of the line of sight to satellites. High-precision indoor localization is critical to many personal and business applications. WiFi-based indoor localization was proposed to be a practical method to locate WiFi-enabled devices due to the popularity of WiFi networks. However, it suffers from large localization errors. Our experimental results indicate that this scheme consistently leads to an average error around 3 meters. The existence of different locations with similar WiFi signal strength is the reason behind the large errors. To improve the localization precision, a hybrid indoor localization scheme, HILL, is proposed in this paper. Inspired by the fact that a large number of WiFi-enabled mobile devices have been deployed, HILL uses 3 phases to improve the precision of WiFi-based localization. First of all, it measures the distances between each pair of peer devices through acoustic ranging. Secondly, the Classical Metric Multidimensional Scaling (MDS) method is applied to the collected distances, which results in a graph consistent with the distances. Finally, the graph generated by MDS is embedded onto the graph corresponding to WiFi-based localization in order to achieve high localization precision. Our experimental results indicate that the average localization error of HILL is about 1 meter.

关键词： Mobile handsets IEEE 802.11 Standards Global Positioning System Distance measurement Indoor environments Educational institutions Training

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Co-tier uplink power control in femtocell networks by Stackelberg game with pricing

Co-tier uplink power control in femtocell networks by Stacke...

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International Conference on Wireless Communication, Vehicular Technology, information Theory and Aerospace and Electronic Systems Technology (Wireless VITAE)

作者： Chih-Cheng Tseng Ching-Shun Peng Shih-Han Lo Hwang-Cheng Wang Fang-Chang Kuo Kuo-Chang Ting Dept. of Electrical Engineering National Ilan University I-Lan Taiwan Depts. of Business Administration and Computer Science and Information Engineering Minghsin University of Science and Technology Xinfeng Hsinchu Taiwan

A two-way pricing mechanism is incorporated into the Stackelberg game to mitigate the co-tier interference by controlling the uplink transmit power. Specifically, by employing the pricing mechanism, leader femto base station (FBS) can get reward from follower femtocell user equipments (FUEs) and vice versa. All FBSs are assumed to operate under the co-channel mode, i.e., all FBSs use the same frequency band and every FBS is operated in the closed subscriber group (CSG) access mode. By assigning the maximum tolerable co-tier interference, the leader FBS protects itself by pricing the interference from follower FUEs. On the contrary, follower FUEs control the transmit power based on the pricing strategy of the leader. For different interference constraints, simulation results obtained by Matlab show that leader and followers can always compromise on a Stackel-berg equilibrium (SE) point where both leader and followers achieve the maximal utility. Hence, the proposed Stackelberg game with two-way pricing mechanism power control scheme provides a viable solution to mitigate co-tier interference in femtocell networks.

关键词： Interference Games Pricing Uplink Power control Femtocell networks Wireless communication

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Automatic Dancing Assessment Using Kinect

Smart Innovation, Systems and Technologies

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Smart Innovation, Systems and Technologies 2013年 21卷 511-520页

作者： Huang, Ta-Che Cheng, Yu-Chuan Chiang, Cheng-Chin Dept. of Computer Science and Information Engineering National Dong Hwa University Hualien Taiwan

ISBN: (纸本)9783642354724

This paper presents the design of an automatic assessing system for dance learners. By exploiting the Microsoft Kinect to acquire 3-D motion data of the learners, the proposed system extracts features and performs matching between the acquired data and the corresponding sample motion of a teacher. The proposed systems have several distinctive functions not appearing in other existing systems, including (1) the performance of a learner can be assessed separately in terms of accuracies in posture and rhythm and (2) the automatic identification of error motion on body articulations during the learn's exercising. To tolerate the lagged, redundant and wrong motions, which are frequently seen on a naïve learn's exercising, our assessment of posture accuracy is done by dynamic time warping (DTW) algorithm so that two motion sequences with different timing and lengths can be accurately aligned. On assessing the accuracy in rhythm, the system applies the fast Fourier transform (FFT) to extract the motion frequency which portrays the rhythm of body motions. Compared with the assessment made by human judges, the system's assessment achieves the consistency of 84% and 77% in assessing the posture accuracy and tempo accuracy, respectively. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Fast Fourier transforms

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Message from the MAED'14 workshop chairs

MAED 2014 - Proceedings of the 3rd ACM International Regular...

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MAED 2014 - Proceedings of the 3rd ACM International Regular and Data Challenge Workshop on Multimedia Analysis for Ecological Data 2014年 iii页

作者： Spampinato, Concetto Mezaris, Vasileios Cristani, Marco Dept. of Electrical Electronics and Computer Engineering University of Catania Italy Centre for Research and Technology Hellas Information Technologies Institute Greece Computer Science Department University of Verona Italy

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Efficient design of FIR filters with minimum filter orders using l0-norm optimization

Efficient design of FIR filters with minimum filter orders u...

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International Conference on Digital Signal Processing (DSP)

作者： Aimin Jiang Hon Keung Kwan Yanping Zhu College of IoT Engineering Hohai University Changzhou China Dept. of Electrical & Computer Engineering University of Windsor Windsor Canada School of Information Science & Engineering Changzhou University Changzhou China

In this paper, a novel method is proposed to design FIR filters with minimum orders. The original design problem is formally expressed as an l 0 -norm optimization problem. An iterative procedure is developed to solve this problem. Although, for a set of given specifications, the proposed method is not guaranteed to find the optimal solution, one can greedily decrease the filter order until the specifications cannot be further satisfied. Simulation results demonstrate that the greedy search needs a limited number of iterations, and the overall computational complexity is not too high. Compared to the classical estimation methods, the proposed method can be utilized for general design specifications. The performance of the proposed design method can be verified by a large number of simulations.

关键词： Finite impulse response filters Simulation Estimation Passband Digital signal processing Optimization Design methodology

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Performance of adaptive fuzzy bandwidth expansion scheme for OFDM communication systems

Performance of adaptive fuzzy bandwidth expansion scheme for...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Yung-Fa Huang Tan-Hsu Tan Shing-Hong Liu Rung-Ching Chen Chia-Hsin Cheng Che-Hao Li Department of Information and Communication Engineering University of Technology Chaoyang Taichung Taiwan Dept. of Electrical Engineering National Taipei University of Technology Taipei Taiwan Department of Computer Science and Information Engineering Chaoyang University of Technology Department of Information Management Chaoyang University of Technology Dept. of Electrical Engineering National Formosa University Taiwan Department of Information and Communication Engineering Chaoyang University of Technology

ISBN: (纸本)9781479938414

In this paper, both effective bandwidth extension and distributed issues are investigated to improve the energy efficiency for the orthogonal frequency division multiplexing (OFDM) wireless communication systems. A Fuzzy based energy efficient bandwidth expansion (FBEEBE) scheme is proposed to fast infer the bandwidth extension factors (BEFs) for users based on fuzzy inference systems. The proposed fuzzy inference system can infer the BEFs from the two inputs of SNR and bandwidth requirement of users. Simulation results show that the proposed FBEEBE can improve the energy efficiency comparing to that of same bandwidth extension (SBE) scheme.

关键词： Bandwidth Energy efficiency OFDM Signal to noise ratio Energy consumption Fuzzy logic Communication systems

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