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International Conference on Networking and Network Applications (NaNA)

作者： Khem Narayan Poudel Shankar Gangaju Computational Science Program Middle Tennessee State University Tennessee USA Department of Electronics and Communication Engineering Tribhuvan University Kathmandu Nepal

Massive MIMO is a most promising wireless multiuser technology that provides higher throughput(in bit/sperkm2) by employing thousands of antennas array. The large arrays of antennas on user equipments (UE) employing uplink and downlink time division duplexing (TDD) mode improves the overall spectral efficiency(SE). We present a variation on overall spectral efficiency using various power scaling levels. Such meta material inspired large arrays antennas are designed using COMSOL Multi-physics. We investigate the design of such antenna arrays and analyze the S-parameter, radiation patterns, correlation coefficient and diversity gains. Further, we derive few formulations for channel capacity, spectral efficiency for both uplink and downlink channels and evaluate the performance using Matlab. The overall analysis offers a new approach in signal processing and antenna design of massive MIMO systems.

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The Effects of Curvature of Edge Screen on Subjective Feelings in Smartphone Usage

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017年第1期61卷 1269 - 1270页

作者： Yushin Lee Joong Hee Lee Yong Min Kim Jihwan Lee Sanghyun Kwon Hyungmin Sim Myung Hwan Yun Department of Industrial Engineering Seoul National University Seoul 08826 Technology Management Economics and Policy Program Seoul National University Seoul 08826 Mobile Communication Business Samsung Electronics Suwon 16677

As the penetration rate of Smartphone grows high and the market gets saturated, the technological and aesthetic progress for manufacturers are heavily demanded to sustain their market share. To meet such demands, manufacturers continuously improve the design of their products. As the design of smartphone varies by manufacturers, there have been many existing researches to identify the relationships between various physical dimensions of smartphones and how users feel (Chowdhury, A., & Kanetkar, M., 2017; Lee, S., Kyung, G., Lee, J., Moon, S. K., & Park, K. J., 2016; Pereira, A., Miller, T., Huang, Y. M., Odell, D., & Rempel, D., 2013; Sung, K., Cho, J., & Freivalds, A., 2016). Recently, in accordance with the development and improvement of flexible displays, curved displays have been applied on smartphones with various curvatures. The popular one among them is the “edge screen” on smartphones, which refers to curved display implemented either on one single side or both sides. Considering that physical dimensions such as shape and size are the important features for customer satisfaction (Hwang, 2012; Ling, C., Hwang, W., and Salvendy, G., 2007), curvature of edge screen can influence on user comfort when the users carry out their tasks on their smartphones. However, such issue hasn’t been dealt in previous studies. Therefore, as a preliminary study, this study aimed to identify the relationships between curvatures of edge screens and subjective feelings in smartphone usage with various usage patterns using subjective evaluation experiment. In this laboratory study, 47 subjects assessed their subjective feelings (grip comfort, control comfort, stability, front visibility, side visibility) towards given samples with four different kinds of usage patterns. The samples were designed with a 5.5-inch flat display of 16:9 ratio (Samsung Galaxy Note 2) as a main screen along with a curved display of different radii of curvatures (R, unit: mm) on the right edge as an edge sc

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Modulation performance for visible light communications

Modulation performance for visible light communications

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International Conference of Information and communication Technology for Embedded Systems (IC-ICTES)

作者： Ek-amorn Shinwasusin Chalie Charoenlarpnopparut Prapun Suksompong Attaphongse Taparugssanagorn Electronics and Communication Engineering Program Thammasat University Thailand Wireless Communication Security and Eco-Electronics Research Unit National Electronics and Computer Technology Center Pathum Thani Thailand

LEDs can transport the signal or data via visible light instead of radio wave in some place that the radio wave will effect the human or damage the component. Therefore, this paper presents about the digital modulation for improving not only data rate and bit error rate but also flickering, colour rendering, dimming range, luminous efficacy rate that are required to keep in a satisfactory level. There are many types of the modulation that have different property. Therefore, the literature review is discussed and shows the comparison of Return-to-zero On-Off Keying (RZ-OOK), Non-Return-to-zero On-Off Keying (NRZOOK), and Binary Phase Shifted Keying (BPSK) in the form of analytical and simulation by the graph of BER versus SNR and also the comparative table of On-Off Keying (OOK), Colour Shifted Keying (CSK), Pulse Position Modulation (PPM), Pulse Width Modulation (PWM), and Orthogonal Frequency Division Multiplexing (OFDM).

关键词： Mathematical model Image color analysis Wireless communication Analytical models Binary phase shift keying Signal to noise ratio

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IoT Use Cases in Healthcare and Tourism

IoT Use Cases in Healthcare and Tourism

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IEEE Conference on Commerce and Enterprise Computing, CEC

作者： Ekaterina Balandina Sergey Balandin Yevgeni Koucheryavy Dmitry Mouromtsev IoT program project FRUCT Oy Helsinki Finland Department of Electronics and Communication Engineering Tampere University of Technology Tampere Finland

Healthcare and tourism are among the fastest growing business domains in the world. These are biggest service industries that affect whole world population and give jobs to millions of people. Recently we witness major changes in both industries, as more services are transferred to small providers, including individual entrepreneurs and SMEs. This process is driven by huge growth in demand, which cannot be fulfilled by applying traditional solutions. The new generation of digital services reshapes landscape of both industries. Some players see it as a threat, as digital services replace their traditional business models. But fighting against progress is useless, especially when you cannot fulfill growing by old means. Internet of Things (IoT) is an integral part of the Future Internet ecosystem that will have major impact on development of healthcare and e-Tourism services. IoT provides an infrastructure to uniquely identify and link physical objects to their virtual representations in Internet. As a result any physical object can have virtual reflection in the service space. This gives an opportunity to replace actions on physical objects by operations on their virtual reflections, which can be done much faster, cheaper and more comfortable for people. This provides a huge space for developing and applying new business models. In this paper we summarize research and development results of IoT studies and discuss ideas on how to apply them to business.

关键词： Monitoring Business Medical diagnostic imaging Hospitals Smart phones Sensors

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Fault detection and analysis in nuclear research facility using artificial intelligence methods

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AIP Conference Proceedings 2016年第1期1704卷

作者： Abu Bakar Ghazali Maslina Mohd Ibrahim 1Department of Electronics & Communication College of Engineering Universiti Tenaga Nasional 43009 Kajang Selangor Malaysia 2Instrumentation Program Malaysian Nuclear Agency Bangi Malaysia

In this article, an online detection of transducer and actuator condition is discussed. A case study is on the reading of area radiation monitor (ARM) installed at the chimney of PUSPATI TRIGA nuclear reactor building, located at Bangi, Malaysia. There are at least five categories of abnormal ARM reading that could happen during the transducer failure, namely either the reading becomes very high, or very low/ zero, or with high fluctuation and noise. Moreover, the reading may be significantly higher or significantly lower as compared to the normal reading. An artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are good methods for modeling this plant dynamics. The failure of equipment is based on ARM reading so it is then to compare with the estimated ARM data from ANN/ ANFIS function. The failure categories in either ‘yes’ or ‘no’ state are obtained from a comparison between the actual online data and the estimated output from ANN/ ANFIS function. It is found that this system design can correctly report the condition of ARM equipment in a simulated environment and later be implemented for online monitoring. This approach can also be extended to other transducers, such as the temperature profile of reactor core and also to include other critical actuator conditions such as the valves and pumps in the reactor facility provided that the failure symptoms are clearly defined.

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Innovative e-Tourism Services on Top of Geo2Tag LBS Platform

Innovative e-Tourism Services on Top of Geo2Tag LBS Platform

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Ekaterina Balandina Sergey Balandin Yevgeni Koucheryavy Dmitry Mouromtsev Department of Electronics and Communication Engineering Tampere University of Technology Tampere Finland Digile IoT TEKES program FRUCT Oy Helsinki Finland Laboratory of Information Science and Semantic Technologies ITMO University Saint-Petersburg Russia

Location based and geo-context aware services form the new fast growing domain of commercially successful ICT solutions. These services play the key role in IoT scenarios and development of smart spaces and proactive solutions. One of the most attractive application areas is e-Tourism. More people can afford travelling and over the last few decades we see continues growth of the tourist activity. At the same time we see huge increase of demand both in quantity and quality of tourist services. Many experts foresee that this growth cannot any longer be fulfilled by applying traditional approaches. Similarly to the change in tickets and hotel booking, it is expected that soon we will witness major transformation in the whole industry towards e-Tourism driven market, where roles of traditional service providers, e.g., tourist agents, guides, will disappear or seriously changed. Internet of Things (IoT) is an integral part of the Future Internet ecosystem that has major impact on development of eTourism services. IoT provides an infrastructure to uniquely identify and link physical objects with virtual representations. As a result any physical object can have virtual reflection in the service space. This gives an opportunity to replace actions on physical objects by operations on their virtual reflections, which is faster, cheaper and more comfortable for the user. In this paper we summarize our research in the field, share ideas of innovative e-Tourism services and present Geo2Tag LBS platform that allows easy and fast development of such services.

关键词： Business Cultural differences Context Industries Internet of things Ecosystems Biological system modeling

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Analysis of food images: Features and classification

Analysis of food images: Features and classification

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作者： He, Ye Xu, Chang Khanna, Nitin Boushey, Carol J. Delp, Edward J. School of Electrical and Computer Engineering Purdue University United States Department of Electronics and Communication Engineering Graphic Era University United States Cancer Epidemiology Program University of Hawaii Cancer Center United States

ISBN: (纸本)9781479957514

In this paper we investigate features and their combinations for food image analysis and a classification approach based on k-nearest neighbors and vocabulary trees. The system is evaluated on a food image dataset consisting of 1453 images of eating occasions in 42 food categories which were acquired by 45 participants in natural eating conditions. The same image dataset is used to test the classification system proposed in the previously reported work [1]. Experimental results indicate that using our combination of features and vocabulary trees for classification improves the food classification performance about 22% for the Top 1 classification accuracy and 10% for the Top 4 classification accuracy. © 2014 IEEE.

关键词： Image classification

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Internet enabled tipping bucket rain gauge

Internet enabled tipping bucket rain gauge

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International Conference on Computer communication and Informatics (ICCCI)

作者： Tarun Karuturi Venkata Raghava Suhas Pralhad Wani Department of Electronics and Communication Engineering Birla Institute of Technology Ranchi India Research Program Director ICRISAT Patancheru India

ISBN: (纸本)9781479923540

The tipping bucket rain gauge is one of the most widely used apparatus for measuring rainfall. Data loggers connected to these rain gauges keep count of the amount of rainfall being received and store it in their internal memory until it's collected. Internet-enabled loggers present currently in the market are very limited and extremely expensive. This paper presents a cheap and efficient tipping bucket rain gauge with an internet enabled data logger. The data logger posts the rainfall data to a SQL database located on our server through a microcontroller which has been interfaced with a GSM/GPRS module. This data is posted automatically to the server after every rainfall or once after every 24 hours even if there is no rainfall, along with temperature and humidity data obtained from the respective sensors interfaced to the microcontroller.

关键词： Rain Microcontrollers GSM Databases Ground penetrating radar Temperature sensors Internet

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ANALYSIS OF FOOD IMAGES: FEATURES AND CLASSIFICATION

ANALYSIS OF FOOD IMAGES: FEATURES AND CLASSIFICATION

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IEEE International Conference on Image Processing

作者： Ye He Chang Xu Nitin Khanna Carol J. Boushey Edward J. Delp School of Electrical and Computer Engineering Purdue University Department of Electronics and Communication Engineering Graphic Era University Cancer Epidemiology Program University of Hawaii Cancer Center

关键词： Accuracy Image segmentation Image color analysis Vocabulary Feature extraction Vectors Training

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