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International Symposium on Telecommunications, IST

作者： Sara Homayouni Reza Javidan Computer Engineering and IT Dep. Shiraz University of Technology Shiraz Iran

ISBN: (纸本)9781538682753;9781538682746

Internet of Things (IoT) is the theory of connecting physical devices of heterogeneous networks via internet that brings global revolution in wireless networks. Low power and Lossy Networks (LLNs) are the main core of Internet of Things technology in which their protocols and standard limitations such as energy, storage and processing power must be carefully considered. Radio Duty Cycling (RDC) layer is placed between Media Access Control (MAC) and physical layer for decreasing energy consumption of networks. ContikiMAC is the best RDC layer protocol that keeps nodes off as much as possible but it should wake them up by a fix RDC frequency to receive packets. In this paper, an Adaptive Radio Duty Cycling layer is proposed in which every node dynamically adjusts its RDC frequency based on its battery capacity level and channel radio activity. The proposed mechanism is called ERA-ContikiMAC (Energy-Rate Algorithm for ContikiMAC). ERA-ContikiMAC is a development of ContikiMAC mechanism that is implemented and simulated in Contiki operating system. The results derived from COOJA simulator compared with the ContikiMAC mechanism and a capacity-based mechanism that uses battery capacity level of node for adjusting RDC frequency for next round. Evaluations were based on the confidence intervals so they showed significant improvement of average energy consumption and radio duty cycle in low traffic networks.

关键词： Batteries Energy consumption Media Access Protocol Internet of Things Wireless sensor networks Time-frequency analysis

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On interspecific competition of logistic populations with the assumption of rapid random contacts 17

On interspecific competition of logistic populations with th...

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17th Conference on Applied Mathematics, APLIMAT 2018

作者： Carkovs, Jevgenijs Pavlenko, Oksana Dep. of Prob. Theory and Math. Statistics Faculty of Computer Science and Information Technology Riga Technical University 1 Kalku Str. LV-1658 Latvia

ISBN: (纸本)9788022747653

We analyze a logistic type Markov impulsive differential model for interspecific competition of two populations under assumption that they come into contact at random time moments only but between the contacts they grow indep.ndently. Assuming the intervals be sufficiently small we apply the stochastic averaging procedure and construct an ordinary 2-dimensional differential equation for population dynamics in the mean and a linear 2-dimensional stochastic differential equation for deviations on the mean trajectories. © 2018 Slovak University of technology in Bratislava. All rights reserved.

关键词： Stochastic systems

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A comparative study to obtain an adequate model in prediction of electricity requirements for a given future period

A comparative study to obtain an adequate model in predictio...

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International Conference on Engineering technology and their Applications (IICETA)

作者： Maysaa Abd Ulkareem Wid Akeel Awadh Ali Salah Alasady Dep. of Computer Information System College of Computer Science and Information Technology University of Basrah Iraq

ISBN: (纸本)9781538678596

Recent years have seen an increasing interest in providing accurate prediction models for electrical energy consumption. In Smart Grids, energy consumption optimization is critical to enhance power grid reliability, and avoid supply-demand mismatches. Additional economic and environmental benefits can be obtained if a proper and reliable description and forecast of energy absorption is available. This research presents fits for neural network model, and comparative resulting forecasts with those obtained from Box- Jenkins Method. We use time series data of monthly electrical energy consumption, into Basra city (Iraq) from 2007-2016, to perform a comparative. The result of the data analysis show that the proper and efficient model for representing time series data is the multiplicative seasonal model of order: SARIMA (3, 1, 3) × (0, 1, 1). According to this model the Research forecast the monthly electricity consumption for January 2017 to December 2018. As for application, Box-Jenkins Method has given more appropriate forecasts than those given by Back propagation artificial neural network. We used Minitab program in the statistical aspect and Alyuda program in the neural network aspect.

关键词： Time series analysis Correlation Autoregressive processes Artificial neural networks Neurons Data models Market research

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A Compact 9 GHz Microwave Imaging System

A Compact 9 GHz Microwave Imaging System

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2018 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2018

作者： Peng, Kang-Chun Lin, Chiu-Chin Li, Cyuan-Fong Hung, Cheng-Yuan Hsieh, Yu-Sung Dep. of Computer and Communication Engineering National Kaohsiung Univ. of Science and Technology Kaohsiung Taiwan Opto-electronics Equipment Department Metal Industries Research Development Center Kaohsiung Taiwan

ISBN: (纸本)9781538648346

This work develops a compact 9 GHz microwave imaging system. The core of the system is a vector network analyzer (VNA) which utilizes range-correlation architecture to suppress the phase noise of the received signal. To overcome the bottleneck that conventional mixer-based phase detectors have limited phase detection range, a novel quadrature phase detection algorithm is proposed. The experimental results show that the microwave imaging system can well detect the bone image of a chicken wing. © 2018 IEEE.

关键词： Signal detection

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The price of interpretability

arXiv

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arXiv 2019年

作者： Bersimas, Dimitris Jaillet, Patrick Delarue, Arthur Martin, Sebastien Sloan School of Management Massachusetts Institute of Technology CambridgeMA02139 United States Dep. of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Operations Research Center Massachusetts Institute of Technology CambridgeMA02139 United States

When quantitative models are used to support decision-making on complex and important topics, understanding a model's "reasoning" can increase trust in its predictions, expose hidden biases, or reduce vulnerability to adversarial attacks. However, the concept of interpretability remains loosely defined and application-specific. In this paper, we introduce a mathematical framework in which machine learning models are constructed in a sequence of interpretable steps. We show that for a variety of models, a natural choice of interpretable steps recovers standard interpretability proxies (e.g., sparsity in linear models). We then generalize these proxies to yield a parametrized family of consistent measures of model interpretability. This formal definition allows us to quantify the "price" of interpretability, i.e., the tradeoff with predictive accuracy. We demonstrate practical algorithms to apply our framework on real and synthetic datasets. Copyright © 2019, The Authors. All rights reserved.

关键词： Decision making

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Reference measurement channel RMC parameters of LTE downlink waveforms

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IOP Conference Series: Materials Science and Engineering 2020年第1期881卷

作者： Fatima Faydh Al Azzawi Zainab Faydhe Al Azzawi Sada Faydhe Al Azzawi Faeza Abbas Abid Electronic technical department Institute of technology Middle Technical University Iraq Dep. Computer Technology Engineering AL-Mansour university college Iraq Statistics department measurement and economic college university of kerbala

Long-Term Evolution (LTE) is a standard for high speed wireless communication for mobile devices and data terminals, It increases the capacity and speed using a different radio interface together with core network improvements. LTE employs SC-FDMA for uplink UL transmission and OFDM for downlink DL data transmission, in this paper LTE DL implemented with MATLAB programing and Simulink, Reference measurement channel RMC on DL waveform illustrated in different Transmission scheme of single, 4 antenna and cyclic delay diversity scheme CDD, duplexing mode, resources blocks and modulation approaches leadings to a various number of total information per frame, QPSK, 16 QAM and 64 QAM modulation approaches used in the proposed system are tested under AWGN Rayleigh fading channels.

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A Load Balancing Algorithm for Resource Allocation in IEEE 802.15.4e Networks

A Load Balancing Algorithm for Resource Allocation in IEEE 8...

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2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

作者： Kralevska, Katina Dimitrios Vergados, J. Jiang, Yuming Michalas, Angelos Dep. of Information Security and Communication Technology NTNU Norwegian University of Science and Technology Norway School of Electrical and Computer Engineering National Technical University of Athens Greece Department of Informatics Engineering Technological Education Institute of Western Macedonia Kastoria Greece

ISBN: (纸本)9781538632277

The recently created IETF 6TiSCH working group combines the high reliability and low-energy consumption of IEEE 802. 15.4e Time Slotted Channel Hopping with IPv6 for industrial Internet of Things. We propose a distributed link scheduling algorithm, called Local Voting, for 6TiSCH networks that adapts the schedule to the network conditions. The algorithm tries to equalize the link load (defined as the ratio of the queue length over the number of allocated cells) through cell reallocation. Local Voting calculates the number of cells to be added or released by the 6TiSCH Operation Sublayer 6top. Compared to a representative algorithm from the literature, Local Voting provides simultaneously high reliability and low end-to-end latency while consuming significantly less energy. Its performance has been examined and compared to On-the- fly algorithm in 6TiSCH simulator by modeling an industrial environment with 50 sensors. © 2018 IEEE.

关键词： Resource allocation

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Towards Optimized V2X Routing Protocol

Towards Optimized V2X Routing Protocol

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Scientific Conference of Electrical Engineering (SCEE)

作者： Taqwa Oday Fahad Abduladhem A. Ali University of Technology Baghdad Baghdad IQ Dep. Of Computer Engineering University of Basra Iraq

ISBN: (纸本)9781728115887;9781728115870

Hybrid vehicular network communication (V2X) is a promising design technique that is emanated to offer the advantages of both Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication paradigms, aside from overcoming their shortcomings. However, designing a more reliable and effective routing protocol to assure utilizing the emerging advantages for such a paradigm is still a challenging task. In this context, two novel schemes are presented in this paper; the first one is expected to enhance the network performance by reducing route errors and overhead through considering multi-effective-criteria in selecting routes, as well as predicting their lifetimes, in addition, to control the dissemination-width of route requests (RREQs) during route discoveries. While the second scheme extends the first method to further argues the dissemination-dep.h control of RREQs aiming to reduce the overhead of unnecessarily repeated attempts of route discoveries. Furthermore, intelligent techniques of artificial bee colony (ABC) optimization and fuzzy logic are employed in the proposed schemes. The conducted results through simulation validate the investigated schemes.

关键词： fuzzy logic optimisation routing protocols vehicular ad hoc networks Routing protocols Fuzzy logic V2V design techniques Routes Scheme

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Implementation of Go language to calculate ground state energy of atoms based on Density Functional Theory (DFT)

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Journal of Physics: Conference Series 2020年第1期1445卷

作者： Lafitiara Gita Arisha Enggar Alfianto Febdian Rusydi Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of Computer System Institut Teknologi Adhi Tama Surabaya Jl Arif Rachman Hakim 100 Surabaya Indonesia.60111

This study is using Go programming language that support parallel programming for numerical calculation. The program was created is designed for calculate ground-state energy of electron, which is based on Density Functional Theory (DFT). The basic mathematics of this program is using many basic concept of numerical mathematics (matrix calculation, Poisson solver, and standard routine of numerical mathematics).

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Reliable Wireless Data Transfer in High EMI Environments Using LabVIEW

Reliable Wireless Data Transfer in High EMI Environments Usi...

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IEEE International Conference on Environment and Electrical Engineering

作者： AG Barakzai B Kotze Dep. of Electrical Electronic & Computer Engineering Central University of Technology Freesate Bloemfontein South Africa

Recently, industrial wireless communication had many developments in upgrading transmission to conquer Electromagnetic interference "EMI" in an industrial environment. Many industrial monitoring systems available in the market work on real-time communication by nodes for data logging that has restrictions on the number of nodes that is can support dep.nds on system's processor potential. This research focuses on a distinct approach to design a wireless industrial monitoring system using LabVIEW, which is not limited to the number of nodes, with real-time data logging at nodes and data transmission with environment EMI consideration. In addition, a wireless monitoring system where delay in system update is acceptable until real-time logged data is been archived.

关键词： EMI monitoring LabVIEW nodes

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