J. of Electrical Engineering最新文献_第2页

Training of Multi-layered Neural Network for Data Enlargement Processing Using an Activity Function 基于活动函数的多层神经网络数据扩展处理训练

J. of Electrical Engineering Pub Date : 2019-02-08 DOI: 10.17265/2328-2223/2018.01.001

Betere Job Isaac, Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro

{"title":"Training of Multi-layered Neural Network for Data Enlargement Processing Using an Activity Function","authors":"Betere Job Isaac, Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro","doi":"10.17265/2328-2223/2018.01.001","DOIUrl":"https://doi.org/10.17265/2328-2223/2018.01.001","url":null,"abstract":"WINNER, a German research project, integrates local photovoltaic systems, charging infrastructure for electric vehicles and tenant households, focusing devices with and without smart grid abilities. The project’s goal is to manage the local power grid operations in a way that allows locally produced energy to be consumed locally. This local optimised consumption is done by using currently available devices. Further, we want to analyse accruing data streams and optimise the usage of local devices to manage this time-base shifted consumption scenario by implementing a non-hard real-time processing system. In this paper, we outline the project’s primary objectives from a technical point of view. First, we present “Wohnungswirtschaftlich integrierte netzneutrale Elektromobilitat in Quartier und Region” (WINNER) and some related research projects. We describe the integration tasks, the data sources, and sinks. So, a project overview can be given. Afterwards, we compare our approach and already developed technologies. Requirements are derived from the system overview. According to them, we can outline an architectural view of the core component of data stream processing within this scenario. Finally, the results are discussed, and consequences are drawn.","PeriodicalId":382952,"journal":{"name":"J. of Electrical Engineering","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116493393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Method for Distributed Generator Dispatch Strategy in Distribution Network 配电网中分布式发电机调度策略的一种方法

J. of Electrical Engineering Pub Date : 2018-09-08 DOI: 10.17265/2328-2223/2018.05.003

Md. Asaduz-Zaman, Md. Habibur Rahaman, Md. Selim Reza, Md. Mafizul Islam

引用次数: 1

Learning Performance of Linear and Exponential Activity Function with Multi-layered Neural Networks 多层神经网络线性和指数活动函数的学习性能

J. of Electrical Engineering Pub Date : 2018-09-08 DOI: 10.17265/2328-2223/2018.05.006

Betere Job Isaac, Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro

{"title":"Learning Performance of Linear and Exponential Activity Function with Multi-layered Neural Networks","authors":"Betere Job Isaac, Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro","doi":"10.17265/2328-2223/2018.05.006","DOIUrl":"https://doi.org/10.17265/2328-2223/2018.05.006","url":null,"abstract":": This paper presents a study on the improvement of MLNNs (multi-layer neural networks) performance by an activity function for multi logic training patterns. Our model network has L hidden layers of two inputs and three, four to six output training using BP (backpropagation) neural network. We used logic functions of XOR (exclusive OR), OR, AND, NAND (not AND), NXOR (not exclusive OR) and NOR (not OR) as the multi logic teacher signals to evaluate the training performance of MLNNs by an activity function for information and data enlargement in signal processing (synaptic divergence state). We specifically used four activity functions from which we modified one and called it L & exp. function as it could give the highest training abilities compared to the original activity functions of Sigmoid, ReLU and Step during simulation and training in the network. And finally, we propose L & exp. function as being good for MLNNs and it may be applicable for signal processing of data and information enlargement because of its performance training characteristics with multiple training logic patterns hence can be adopted in machine deep learning.","PeriodicalId":382952,"journal":{"name":"J. of Electrical Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114645129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Efficient Watermarking Scheme for Traitor Tracing Encryption Schemes 叛逆者跟踪加密方案的高效水印方案

J. of Electrical Engineering Pub Date : 2018-09-08 DOI: 10.17265/2328-2223/2018.05.001

Kazuto Ogawa, Go Ohtake

引用次数: 0

A Fundamental Approach for Design and Optimization of a Spiral Inductor 螺旋电感设计与优化的基本方法

J. of Electrical Engineering Pub Date : 2018-09-08 DOI: 10.17265/2328-2223/2018.05.002

Frederick Ray I. Gomez

{"title":"A Fundamental Approach for Design and Optimization of a Spiral Inductor","authors":"Frederick Ray I. Gomez","doi":"10.17265/2328-2223/2018.05.002","DOIUrl":"https://doi.org/10.17265/2328-2223/2018.05.002","url":null,"abstract":"This technical paper presents a fundamental approach for design and optimization of a spiral inductor using ASITIC (analysis and simulation of spiral inductors and transformers for ICs) and SpiralCalc (integrated spiral inductor calculator). Both tools are available for research and non-commercial purposes. Inductors are key components esp. for impedance matching and are designed such that they would exhibit a high Q-factor (quality-factor) for the specific inductance and frequency range of operation. A sample value of 5.3 nH is set for this paper for the spiral inductor design using the tools. For optimum Q-factor, an octagonal geometry for spiral inductor is used for ASITIC design, to have a close comparison to that of the SpiralCalc. Design methodologies for the optimization of the spiral inductor parameters such as the inductance and the Q-factor are discussed. Results comparison between the two tools is also presented. Design tradeoffs between inductor parameters are inevitable, and these parameters affect the performance of the inductor esp. at higher frequencies. With this, it is crucial that inductors be designed carefully for their effective frequency range of operation and specific requirements of the intended application.","PeriodicalId":382952,"journal":{"name":"J. of Electrical Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126158261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Guidance and Control System for Platoon of Autonomous Mobile Robots 自主移动机器人组队制导与控制系统

J. of Electrical Engineering Pub Date : 2018-09-08 DOI: 10.17265/2328-2223/2018.05.005

Vesna Antoska Knights, Zoran Gacovski, Stojce Deskovski, Olivera Petrovska

{"title":"Guidance and Control System for Platoon of Autonomous Mobile Robots","authors":"Vesna Antoska Knights, Zoran Gacovski, Stojce Deskovski, Olivera Petrovska","doi":"10.17265/2328-2223/2018.05.005","DOIUrl":"https://doi.org/10.17265/2328-2223/2018.05.005","url":null,"abstract":"This paper presents a concept of platoon movement of autonomous vehicles (smart cars). Autonomous vehicles have ACC (adaptive or advanced cruise control) system also called ICC (intelligent cruise control) or AICC (adaptive intelligent cruise control) system. These vehicles are suitable to follow other vehicles on desired distance and to be organized in platoons. To be able to do research to the control and stability of an AGV (automated guided vehicles) string, a car-following model is being determined. To do this, first a single vehicle is modelled and since all cars in the platoon have the same dynamics, the single vehicle model is copied ten times to form model of platoon (string) with ten vehicles. To control this string, equal PID (proportional-integral-derivative) controllers are applied to all vehicles, except the leading vehicle. These controllers try to keep the headway distance as constant as possible and the velocity between subsequent vehicles error small. For control of vehicle with nonlinear dynamics combination of feedforward control and feedback control approach is used. Feedforward control is based on inverse model of nominal dynamics of the vehicle, and feedback PID control is designed on base of linearized model of the vehicle. For simulation and analysis of vehicle and platoon of vehicles Matlab/Simulink models are designed. Simulation results, discussions and conclusions are given at the end of the paper.","PeriodicalId":382952,"journal":{"name":"J. of Electrical Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121317422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Lightweight Robot Arm for Capturing Large Space Debris 用于捕获大型空间碎片的轻型机械臂

J. of Electrical Engineering Pub Date : 2018-09-08 DOI: 10.17265/2328-2223/2018.06.004

Shin-Ichiro Nishida, Daisuke Uenaka, Ryota Matsumoto, Shintaro Nakatani

引用次数: 6

Solution of Helmholtz Equation Using Finite Differences Method in Wires Have Different Properties along X-Axis 用有限差分法求解沿x轴具有不同性质导线的亥姆霍兹方程

J. of Electrical Engineering Pub Date : 2018-07-08 DOI: 10.17265/2328-2223/2018.04.002

Ayse Nihan Basmaci Filiz

引用次数: 2

Design of ADS-B Simulator ADS-B模拟器的设计

J. of Electrical Engineering Pub Date : 2018-07-08 DOI: 10.17265/2328-2223/2018.04.004

Hyeon-Cheol Lee, Sang-Gyu Lee, S. Yong

引用次数: 0

Elimination of ESD Events and Optimizing Waterjet Deflash Process for Reduction of Leakage Current Failures on QFN-mr Leadframe Devices 消除静电放电事件和优化水射流消闪工艺以减少QFN-mr引线框架器件的漏电流故障

J. of Electrical Engineering Pub Date : 2018-07-08 DOI: 10.17265/2328-2223/2018.04.007

Frederick Ray I. Gomez, Tito T. Mangaoang Jr.

引用次数: 36