2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)最新文献_第6页

On the multishell cylindrical magnetostatic shields: Analytical and numerical approach 多壳圆柱形静磁屏蔽:解析与数值方法

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861092

D. Cazacu, V. Ionescu, S. Ionita, Elena Virjoghe

引用次数: 1

The optimization of energy consumption for an industrial consumer 工业消费者的能源消耗优化

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861178

G. Oprea, H. Andrei

引用次数: 2

Frequency sampling algorithm applied in microwave measurements based on step-size control method 基于步长控制的微波测量频率采样算法

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861104

C. Rosca, N. Paraschiv

{"title":"Frequency sampling algorithm applied in microwave measurements based on step-size control method","authors":"C. Rosca, N. Paraschiv","doi":"10.1109/ECAI.2016.7861104","DOIUrl":"https://doi.org/10.1109/ECAI.2016.7861104","url":null,"abstract":"Extending the microwave frequency measurement from very low to very high frequency requires improvements for the acquisition time. In this paper, a new sampling algorithm is presented with the main purpose to reduce the acquisition time by using a limited number of samples. The adaptive algorithm proposed in this paper computes only a limited number of samples and then reconstructs the entire circuit response using the interpolation model. This method uses an adaptive step-size control and has the initial step and the error predefined. The algorithm evaluates the difference between two consecutive S parameters. The adaptive step-size algorithm assumes that, when the distance between the current S parameter value and the previous one decreases (below a threshold ∊), the exploration step-size may be increased up to a limit in order to keep the step-size to a moderate value. Otherwise, it might overlook major S parameter variations. The biggest challenge here is represented by the correlation between S parameter domain, frequency domain and scaling values. This algorithm automatically finds the number of points needed to accurately evaluate high S parameters variations and it has a high speed computing.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127888819","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: 1

Improved performance of energy consumption in wireless sensor networks based on ZigBee transceiver protocol 基于ZigBee收发协议的无线传感器网络能耗性能改进

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861171

O. A. Mohamad

{"title":"Improved performance of energy consumption in wireless sensor networks based on ZigBee transceiver protocol","authors":"O. A. Mohamad","doi":"10.1109/ECAI.2016.7861171","DOIUrl":"https://doi.org/10.1109/ECAI.2016.7861171","url":null,"abstract":"One of the major weaknesses of Wireless Sensor Networks (WSNs) is the energy consumption because of limited battery resource and battery replacement or recharging difficulty. The energy consumption can be controlled in WSNs by more than one layer. The research presented in this work aims to reduce the energy consumption in the physical layer because most of the energy consumption occurs in this layer. Furthermore, such use will also enhance energy efficiency, bit error rate (BER), and throughput of the wireless sensor network. In this work, the WSNs nodes are divided into five clusters. Also, four different systems have been proposed according to the type of transceiver technique used in WSNs. The proposed four systems are analyzed, simulated and evaluated with the Additive White Gaussian Noises (AWGN) and Rayleigh flat fading channels. The results show that system 4 achieves the best energy efficiency performance compared with the other three systems at lower SNR up to −4dB. While, system 1 achieves better energy efficiency performance at high Signal to Noise Ratio (SNR) from 23dB and more.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"436 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124470726","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: 4

Indoor environmental parameters monitoring for building automation systems 楼宇自动化系统室内环境参数监测

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861083

I. Lita, D. Visan, I. B. Cioc, A. Mazare, R. Teodorescu

{"title":"Indoor environmental parameters monitoring for building automation systems","authors":"I. Lita, D. Visan, I. B. Cioc, A. Mazare, R. Teodorescu","doi":"10.1109/ECAI.2016.7861083","DOIUrl":"https://doi.org/10.1109/ECAI.2016.7861083","url":null,"abstract":"This article presents the implementation of a novel architecture of a specialized measurement and control system that is intended to be integrated in a complex automation system for buildings. The proposed design is realized around Atmega 328 microcontroller embedded on Arduino Uno development board. For indoor environmental monitoring are used different sensors associated with various physical quantities. In our approach were used three types of sensors: a combined temperature-humidity sensor (AM2302/DHT 22) characterized by a high precision and having digital output and digital pressure sensor (BMP 180) together with a light depended resistor (LDR) for light intensity measurements. The system is extendable and in the proposed configuration is capable to control multiple loads, including pulse width modulation (PWM) based proportional control. The correct operation and the reliability of the monitoring and control system were evaluated through simulations and practical test with implemented module. Compared with other implementations, the proposed design has the advantage of a flexible and versatile implementation, based on reconfigurable concepts specific to the high performance programmable microcontrollers, combined with a simple user interface for equipment control.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606985","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

Sparse array antenna optimization using genetic alghoritms 基于遗传算法的稀疏阵列天线优化

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861100

Daniel Depărăţeanu, F. Enache, Andrei Enache, F. Popescu, I. Nicolaescu

引用次数: 7

Track circuit with multiple transmitters: Single input multiple output track circuits 多发射机轨道电路:单输入多输出轨道电路

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861174

Marius Enulescu

引用次数: 0

Adaptive modelling of eeg signals to produce accurate time-frequency decompositions for use in BCI 脑电信号的自适应建模，以产生准确的时频分解，用于脑机接口

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861088

M. M. C. Stefan, I. Nicolae, R. Strungaru, T. M. Vasile, O. Bajenaru, G. Ungureanu

{"title":"Adaptive modelling of eeg signals to produce accurate time-frequency decompositions for use in BCI","authors":"M. M. C. Stefan, I. Nicolae, R. Strungaru, T. M. Vasile, O. Bajenaru, G. Ungureanu","doi":"10.1109/ECAI.2016.7861088","DOIUrl":"https://doi.org/10.1109/ECAI.2016.7861088","url":null,"abstract":"Motor imagery and actual movement are both tasks that bring forth a noticeable change in the subject's EEG mu rhythm known as Even-Related Desynchronisation (ERD). They appear as magnitude decreases of the frequencies included in the said band and can be tracked and measured for the automatic real-time detection and classification of the events. It has been proven that an important percent of the changes happen within a narrow frequency band called a reactive band, providing thus the means to significantly improve the efficiency of the interpretation of such events by concentrating the decisive information. The algorithm presented in this paper automatically identifies a subject's specific reactive band by detecting the highest decrease in power. The decision is made after the recorded EEG signal is modeled with a Band-Limited Multiple Fourier Linear Combiner (BMFLC). The method adaptively estimates the amplitude of each frequency component in the given band of interest and produces a precise time-frequency map that can be afterwards used for increasingly accurate classification and BCI applications.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123353670","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

Integrated learning platform based on lego NXT and Matlab for teaching mechatronics 基于lego NXT和Matlab的机电一体化教学平台

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861145

C. Lapusan, O. Hancu, C. Rad, L. Dache, V. Maties

引用次数: 3

Predictive methods to increase energy efficieny in processes of wastewater treatment 提高废水处理过程能源效率的预测方法

2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2016-06-01 DOI: 10.1109/ECAI.2016.7861167

C. A. Badea, H. Andrei, Alexandru Gonciariuc, E. Rus

引用次数: 2