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2017 International Conference on computer, Electronics and Communication engineering(CECE2017)

作者： ?tefan ??LU Dinara SOBOLA Pavel TOMáNEK Sebastian STACH Technical University of Cluj-Napoca Faculty of Mechanical Engineering Department of AETDiscipline of Descriptive Geometry and Engineering Graphics Brno University of Technology Faculty of Electrical Engineering and Communication Physics Department University of Silesia Faculty of Computer Science and Materials Science Institute of InformaticsDepartment of Biomedical Computer Systems

The purpose of this paper was to describe the 3 D nano-scaled surface topography of the aluminum nitride on sapphire. The structures were prepared by magnetron sputtering with heating of the sapphire substrate. The dependence of the layers topography on the substrate temperature was presented. Surface appearance was studied by atomic force microscopy(AFM). The quantitative topography data from AFM were used for surface characterization by fractal analysis and statistical parameters. The results of fractal analysis show the correlation of fractal dimension and statistical characteristics of surface topography. The data may contribute to manufacture of AlN thin films with desired surface characteristics.

关键词： Aluminum nitride Atomic force microscopy Fractal analysis Minkowsky functionals Surface micromorphology

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Network formation in the sky: Unmanned aerial vehicles for multi-hop wireless backhauling

arXiv

引用

arXiv 2017年

作者： Challita, Ursula Saad, Walid School of Informatics University of Edinburgh Edinburgh United Kingdom Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA United States

To reap the benefits of dense small base station (SBS) deployment, innovative backhaul solutions are needed in order to manage scenarios in which high-speed ground backhaul links are either unavailable or limited in capacity. In this paper, a novel backhaul scheme that utilizes unmanned aerial vehicles (UAVs) as an on-demand flying network linking ground SBSs and the core network is proposed. The design of the aerial backhaul scheme is formulated as a network formation game among UAVs that seek to form a multi-hop backhaul network in the air. To solve this game, a myopic network formation algorithm which reaches a pairwise stable network upon convergence, is introduced. The proposed network formation algorithm enables the UAVs to form the necessary multi-hop backhaul network in a decentralized manner thus adapting the backhaul architecture to the dynamics of the network. Simulation results show that the proposed network formation algorithm achieves substantial performance gains in terms of both rate and delay reaching, respectively, up to 40% and 41% compared to the formation of direct communication links with the gateway node (for a network with 15 UAVs). Copyright © 2017, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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The Use of Two Fingers to Control Virtual Keyboards with Leap Motion Sensor

The Use of Two Fingers to Control Virtual Keyboards with Lea...

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International Conference on Instrumentation, Communications, Information Technology, and Biomedical engineering (ICICI-BME)

作者： Muhammad Ilhamdi Rusydi Rudy Fernandez Tati Erlina Ulfia Syukrina Andrivo Rusydi Agung Wahyu Setiawan Minoru Sasaki Department of Electrical Engineering Universitas Andalas Padang Indonesia Department of Computer Engineering Universitas Andalas Padang Indonesia Department of Physics National University of Singapore Singapore School of Electrical and Informatics Institut Teknologi Bandung Bandung Indonesia Department of Intelligent Control System Engineering Gifu University Gifu Japan

This research proposes two virtual keyboard designs and two control methods of virtual keyboards. The Keyboard I layout is a 4×10 matrix with QWERTY array keypad and the Keyboard II layout is a 7×6 matrix with alphabet array keypad. Both methods use thumb and index finger only to operate the keyboards. These two fingers can execute five commands: right searching, down searching, selecting character, clearing monitor, and activating the buzzer. The directions of fingers are detected by a Leap Motion sensor. The Algorithm I has two-finger gestures and 4 variables of time. The first gesture is the pointing down index finger with three functions which depends on the time variable: right searching, down searching and clearing monitor. The thumb finger pointing to the inside palm is the second gesture for selecting and activating the buzzer. The algorithm II has one additional gesture, but it has only 3 variables of time. The extra gesture is a slightly left movement of the index finger. This movement is for the down searching. The time variable is only used to clear the monitor and activate the buzzer in the 2nd algorithm. The results showed that algorithm II can reduce the time consumed to type a single character in both keyboard types. The Algorithm I spent approximately 6.7 seconds/character. This number was reduced by Algorithm II into only 5 seconds/character. The Algorithm I had a less finger gesture, but too much time variables confused the user in operating the system. Both algorithms and virtual keyboard designs had successfully been implemented in this research. Those who can just use at least the index finger and thumb would enable them to chat with others by using this application.

关键词： Thumb Keyboards Indexes Monitoring Biomedical monitoring Bluetooth

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Heuristics for Tile Parallelism in HEVC

Heuristics for Tile Parallelism in HEVC

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European Signal Processing Conference

作者： Maria Koziri Panos K. Papadopoulos Nikos Tziritas Nikos Giachoudis Thanasis Loukopoulos Samee U. Khan Georgios I. Stamoulis Computer Science University of of Thessaly Lamia Greece Computer Science and Biomedical Informatics University of Thessaly Lamia Greece Research Center for Cloud Computing Shenzhen Institutes of Advanced Technology Shenzhen China National Science Foundation Arlington USA Electrical and Computer Engineering North Dakota State University Fargo USA Electrical and Computer Engineering University of Thessaly Volos Greece

HEVC has emerged as the new video coding standard promising increased compression ratios compared to its predecessors. This performance improvement comes at a high computational cost. For this reason, HEVC offers three coarse grained parallelization potentials namely, wave front, slices and tiles. In this paper we focus on tile parallelism which is a relatively new concept with its effects not yet fully explored. Particularly, we investigate the problem of partitioning a frame into tiles so that in a resulting one on one tile-CPU core assignment the cores are load balanced, thus, maximum speedup can be achieved. We propose various heuristics for the problem with a focus on low delay coding and evaluate them against state of the art approaches. Results demonstrate that particular heuristic combinations clearly outperform their counterparts in the literature.

关键词： Encoding Parallel processing Partitioning algorithms Estimation Video coding Delays Signal processing algorithms

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Rule-based Part of Speech Tagger for Indonesian Language

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IOP Conference Series: Materials Science and engineering 2018年第1期407卷

作者： K K Purnamasari I S Suwardi Faculty of Engineering and Computer Science Universitas Komputer Indonesia Jalan Dipatiukur No. 112-116 Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Jalan Ganesha 10 Bandung Indonesia

Lexical processing, such as detection of root words (Stemming) and type of words (Part of Speech tagging) is the important determinant for language computing systems that requires the detection of sentence structure or pattern. In Indonesian language, a problem that was encountered in lexical processing is lack of annotated corpus in Indonesian. Thus, POS tagger built in this research did not use annotated corpus, but utilize KBBI (Indonesian large dictionary) and some morphological rules that affect changes in word form (morphology). The method used in this study begin with change input text into tokens and do stemming. Each token is checked whether it is available in the baseword dictionary or not. If the token is not found in the baseword dictionary, it will go through stemming and affix detection. By doing this step, it can produce output list of POS tag for basewords and their affixes. By collate the output based on the rules of grammar, we can determine the type of affixed-word. Testing is done by comparing the detection results and the type of wordlist available in KBBI, for every input token. Accuracy score is obtained by calculate number of true results divided by total number of tokens being examined. Based on result of test performed, the achievement of accuracy is quite good (average rate of 87.4% for 4 parts of PAN Localization corpus in Indonesian). False results were caused by some mistake tags in existing KBBI and presence of ambigous word (word with more than one POS tag). So, improvement will be possible by using more complete Indonesian dictionary and adding word-sense disambiguation.

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Cardiovascular function and ballistocardiogram: A relationship interpreted via mathematical modeling

arXiv

引用

arXiv 2018年

作者： Guidoboni, Giovanna Sala, Lorenzo Enayati, Moein Sacco, Riccardo Szopos, Marcela Keller, James Popescu, Mihail Despins, Laurel Huxley, Virginia H. Skubic, Marjorie Department of Electrical Engineering and Computer Science Department of Mathematics University of Missouri ColumbiaMO65211 United States Université de Strasbourg CNRS IRMA UMR Strasbourg7501 France Université Paris Descartes UMR CNRS 8145 MAP5 Paris France Department of Electrical Engineering and Computer Science University of Missouri ColumbiaMO65211 United States Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 Milano20133 Italy Department of Health Management and Informatics University of Missouri ColumbiaMO65211 United States Sinclair School of Nursing University of Missouri ColumbiaMO65211 United States Department of Medical Pharmacology and Physiology University of Missouri ColumbiaMO65211 United States

Objective: to develop quantitative methods for the clinical interpretation of the ballistocardiogram (BCG). Methods: a closed-loop mathematical model of the cardiovascular system is proposed to theoretically simulate the mechanisms generating the BCG signal, which is then compared with the signal acquired via accelerometry on a suspended bed. Results: simulated arterial pressure waveforms and ventricular functions are in good qualitative and quantitative agreement with those reported in the clinical literature. Simulated BCG signals exhibit the typical I, J, K, L, M and N peaks and show good qualitative and quantitative agreement with experimental measurements. Simulated BCG signals associated with reduced contractility and increased stiffness of the left ventricle exhibit different changes that are characteristic of the specific pathological condition. Conclusion: the proposed closed-loop model captures the predominant features of BCG signals and can predict pathological changes on the basis of fundamental mechanisms in cardiovascular physiology. Significance: this work provides a quantitative framework for the clinical interpretation of BCG signals and the optimization of BCG sensing devices. The present study considers an average human body and can potentially be extended to include variability among individuals. Copyright © 2018, The Authors. All rights reserved.

关键词： Accelerometers

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穿山甲可能不是新型冠状病毒的中间宿主

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中国预防兽医学报 2020年第12期42卷 1311-1311页

作者： LIU PING JIANG JING-ZHE WANXIU-FENG Guangdong Key Laboratory of Animal Conservation and Resource Utilization Guangdong Public Laboratory of Wild Animal Conservation and Utilization Guangdong Institute of Applied Biological Resources Guangdong Academy of Science Guangzhou Guangdong Province China. Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization Ministry of Agriculture South China Sea Fisheries Research Institute Chinese Academy of Fishery Sciences Guangzhou Guangdong Province China. Department of Molecular Microbiology and Immunology School of Medicine University of Missouri Columbia Missouri United States of America. Department of Electrical Engineering & Computer Science College of Engineering University of Missouri Columbia Missouri United States of America. MU Center for Research on Influenza Systems Biology (CRISB) University of Missouri Columbia Missouri United States of America. Bond Life Sciences Center University of Missouri Columbia Missouri United States of America. MU Institute for Data Science and Informatics University of Missouri Columbia Missouri United States of America. Guangdong Provincial Key Laboratory of Silviculture Protection and Utilization Guangdong Academy of Forestry Guangzhou Guangdong Province China. Institute of Animal Health Guangdong Academy of Agricultural Sciences Guangzhou Guangdong Province China. Guangdong Provincial Wildlife Rescue Center Guangzhou Guangdong Province China.

当前,新型冠状病毒肺炎(COVID-19)疫情仍在全球范围内肆虐,新冠肺炎的防控工作依然是重中之重。研究表明新型冠状病毒与中菊头蝠携带的Bat-CoV-RaTG13冠状病毒全基因组核苷酸一致性高达96%,推测该病毒可能起源于蝙蝠,再由中间野生动物... 详细信息

当前,新型冠状病毒肺炎(COVID-19)疫情仍在全球范围内肆虐,新冠肺炎的防控工作依然是重中之重。研究表明新型冠状病毒与中菊头蝠携带的Bat-CoV-RaTG13冠状病毒全基因组核苷酸一致性高达96%,推测该病毒可能起源于蝙蝠,再由中间野生动物宿主进一步传播,但目前中间宿主仍然未知。

关键词：中间宿主防控工作动物宿主穿山甲冠状病毒全球范围全基因组肺炎

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The good, the bad, and the ugly: uncovering novel research opportunities in social media mining

引用

International Journal of Data Science and Analytics 2016年第3-4期1卷 137-143页

作者： Liu, Huan Morstatter, Fred Tang, Jiliang Zafarani, Reza School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ85287-8809 United States Computer Science and Engineering Michigan State University East LansingMI48824 United States Electrical Engineering and Computer Science Syracuse University SyracuseNY13244 United States

Big data is ubiquitous and can only become bigger, which challenges traditional data mining and machine learning methods. Social media is a new source of data that is significantly different from conventional ones. Social media data are mostly user-generated, and are big, linked, and heterogeneous. We present the good, the bad and the ugly associated with the multi-faceted social media data and exemplify the importance of some original problems with real-world examples. We discuss bias in social media data, evaluation dilemma, data reduction, inferring invisible information, and big-data paradox. We illuminate new opportunities of developing novel algorithms and tools for data science. In our endeavor of employing the good to tame the bad with the help of the ugly, we deepen the understanding of ever growing and continuously evolving data and create innovative solutions with interdisciplinary and collaborative research of data science. © 2016, Springer International Publishing Switzerland.

关键词： Big data

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Improvements of a hybrid ILP-CP Benders decomposition for mapping and scheduling task DAGs on heterogeneous architectures 11

Improvements of a hybrid ILP-CP Benders decomposition for ma...

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11th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2016

作者： Emeretlis, Andreas Theodoridis, George Alefragis, Panayiotis Voros, Nikolaos Electrical and Computer Engineering Department University of Patras Greece Computers and Informatics Engineering Department Technological Educational Institute of Western Greece Greece

ISBN: (纸本)9780992998417

In this work, an improved method for optimally mapping applications represented as Directed Acyclic Graphs (DAGs), on heterogeneous multi-core platforms is presented. The set of nodes V = v1, v2, ..., vn of the DAG corresponds to the tasks of the application, while edges represent data dependencies between tasks. The target platform consists of P = 1, 2, ..., m cores. The problem can be categorized as a timetable problem as it requires the simultaneous selection of performing resources and the scheduling of the assigned tasks for each resource, while satisfying dependency constraints. We extend the logic-based Benders decomposition approach presented in [1] that combines Integer Linear Programming (ILP) and Constraint Programming (CP) models with new cuts in order to improve the solution quality and/or the algorithm execution time. In the decomposition, the Master Problem (MP) is finding an assignment of tasks to cores and the sub-problem is solving a Sequencing Problem (SP) per core. © PATAT *** rights reserved.

关键词： Scheduling

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DeepSF: Deep convolutional neural network for mapping protein sequences to folds

arXiv

引用

arXiv 2017年

作者： Hou, Jie Adhikari, Badri Cheng, Jianlin Department of Electrical Engineering and Computer Science University of Missouri ColumbiaMO65211 United States Informatics Institute University of Missouri ColumbiaMO65211 United States

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