2016 International Conference for Students on Applied Engineering (ICSAE)最新文献

Refined composite multivariate multiscale entropy based on variance for analysis of resting-state magnetoencephalograms in Alzheimer's disease 基于方差的阿尔茨海默病静息状态脑磁图的精细复合多元多尺度熵分析

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-21 DOI: 10.1109/ICSAE.2016.7810227

H. Azami, J. Escudero, A. Fernández

{"title":"Refined composite multivariate multiscale entropy based on variance for analysis of resting-state magnetoencephalograms in Alzheimer's disease","authors":"H. Azami, J. Escudero, A. Fernández","doi":"10.1109/ICSAE.2016.7810227","DOIUrl":"https://doi.org/10.1109/ICSAE.2016.7810227","url":null,"abstract":"Alzheimer's disease (AD) is one of the fastest growing neurological diseases. Multiscale entropy with coarse-graining based on mean (MSEμ) has been widely used to characterize AD. Alternatively, multiscale entropy based on variance (MSEσ2) has been recently proposed to quantify the dynamics of volatility (variance) of univariate signals. Here, we extend the MSEσ2 to multivariate signals to take into account both the time and spatial domains for discrimination of resting-state magnetoencephalogram (MEG) recordings of 36 AD patients from those of 26 normal controls. We also consider the usefulness of the refined composite mvMSEσ2 (RCmvMSEσ2) to understand if the RCmvMSEσ2 can better discriminate AD group from control subjects in comparison with mvMSEσ2. The results show mvMSEσ2 and RCmvMSEσ2, unlike exiting multiscale-based methods, lead to significant differences between control and AD patients at all scale factors. The results obtained by the mvMSEσ2 and RCmvMSEσ2 are similar. Thus, refined composite technique might not enhance the detection of different pathological states, especially when signals are not too noisy and short. Finally, our findings show that the mvMSEσ2 and RCmvMSEσ2 can be useful tools for the analysis of real signals to characterize different kinds of dynamics.","PeriodicalId":214121,"journal":{"name":"2016 International Conference for Students on Applied Engineering (ICSAE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116511206","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

The development and evaluation of a sensor-fusion and adaptive algorithm for detecting real-time upper-trunk kinematics, phases and timing of the sit-to-stand movements in stroke survivors 一种传感器融合和自适应算法的开发和评估，用于检测中风幸存者从坐姿到站立的实时上肢运动学、阶段和时间

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-21 DOI: 10.1109/ICSAE.2016.7810233

S. Ho, A. Thomson, A. Kerr

引用次数: 0

An integrated Building-to-Grid model for evaluation of energy arbitrage value of Thermal Storage 基于建筑到电网的蓄热能源套利价值评估模型

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-21 DOI: 10.1109/ICSAE.2016.7810162

M. Anwar, Carlos Andrade Cabrera, Olivier Neu, M. O’Malley, D. Burke

引用次数: 12

Improved PID control for tilting trains 改进了倾斜列车的PID控制

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-20 DOI: 10.1109/ICSAE.2016.7810201

Fazilah Hassan, A. Zolotas, R. Margetts

引用次数: 8

Partial discharge detection using software defined radio 局部放电检测使用软件定义无线电

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-20 DOI: 10.1109/ICSAE.2016.7810220

H. Mohamed, P. Lazaridis, D. Upton, U. Khan, B. Saeed, A. Jaber, Y. Zhang, P. Mather, M. F. Vieira, K. Barlee, D. Atkinson, I. Glover

引用次数: 8

Heuristic scheduling of multiple smart home appliances: Utility planning perspective 多智能家电启发式调度:公用事业规划视角

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-20 DOI: 10.1109/ICSAE.2016.7810195

Chris Ogwumike, M. Short, Fathi Abugchem

{"title":"Heuristic scheduling of multiple smart home appliances: Utility planning perspective","authors":"Chris Ogwumike, M. Short, Fathi Abugchem","doi":"10.1109/ICSAE.2016.7810195","DOIUrl":"https://doi.org/10.1109/ICSAE.2016.7810195","url":null,"abstract":"Electric utilities are increasingly incorporating Demand Side Management (DSM) approaches in their energy networks to help compensate for increased levels of uncertainty arising from renewable energy production. Demand Response (DR) is one such approach. DR aims to encourage shifts in residential load by using pricing signals and dynamic tariff mechanisms which are provided in real-time by the utility company. The goal is to shift energy consumption patterns to off-peak times and hence reduce the Peak-to-Average Ratio (PAR) of the daily electricity demand. In this paper, the effects of multiple households using a fast heuristic algorithm for scheduling smart appliances is simulated from a utility planning perspective. It explores the aggregated response of the de-centralized heuristic algorithms to events signaled by the utility, when the primary focus of each heuristic is upon minimization of end-user economic costs. The performance of the heuristic algorithm for DR events under normal and stringent conditions is explored under simulation. Results confirm that the aggregated demand can potentially respond to DR signals, although the choice of price signals plays a major role in the depth and nature of the response and requires further investigation.","PeriodicalId":214121,"journal":{"name":"2016 International Conference for Students on Applied Engineering (ICSAE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127057357","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

The impact of altitude, latitude, and endurance duration on the design of a high altitude, solar powered unmanned aerial vehicle 海拔高度、纬度和续航时间对高空太阳能无人机设计的影响

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-20 DOI: 10.1109/ICSAE.2016.7810236

A. Alsahlani, T. Rahulan

{"title":"The impact of altitude, latitude, and endurance duration on the design of a high altitude, solar powered unmanned aerial vehicle","authors":"A. Alsahlani, T. Rahulan","doi":"10.1109/ICSAE.2016.7810236","DOIUrl":"https://doi.org/10.1109/ICSAE.2016.7810236","url":null,"abstract":"In this paper, a previously developed conceptual design tool has been used to study the impact of the latitude, altitude, and the flight duration on the weight estimation and the main characteristics of a high altitude, long endurance and solar powered unmanned aerial vehicle. The available solar energy during the daylight hours has been calculated at given locations and altitudes for specific periods to be used in the pre-conceptual design stage. The pre-conceptual design methodology is based on an analytical and continuous method, which consists of establishing the relationships between all the components with analytical functions using the component characteristics. This design approach can directly provide a unique and optimal design. This study is conducted for a solar aircraft designed for a surveillance mission over Iraq. It is concluded that increasing the operational altitude can lead to a heavier aircraft in spite of the high levels of the available solar energy that can be absorbed. Hence, at high altitude, the surface area required for solar power generation is less than that needed to obtain adequate lift. Increasing the maximum solar irradiance during the daylight hours can lead to further lowering of the aircraft weight. Moreover, an increase in the daylight hours can be beneficial if the charging and discharging losses of the fuel cells are considered.","PeriodicalId":214121,"journal":{"name":"2016 International Conference for Students on Applied Engineering (ICSAE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122923492","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

Multi-layer perceptron as equalisers for multilevel pulse amplitude modulation scheme in SI-POF 多层感知器作为SI-POF中多电平脉冲调幅方案的均衡器

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-20 DOI: 10.1109/ICSAE.2016.7810210

I. Osahon, S. Rajbhandari, W. Popoola

引用次数: 5

Determination and optimization of the mathematic model using the non-linear least square and iteration methods 利用非线性最小二乘法和迭代法确定和优化数学模型

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-20 DOI: 10.1109/ICSAE.2016.7810180

Mohamed Abdalla, Jainyong Zhang, R. Cheng

引用次数: 1

An intelligent approach for classification of GPS satellites based on neural network, genetic algorithm and particle swarm optimization 基于神经网络、遗传算法和粒子群优化的GPS卫星智能分类方法

2016 International Conference for Students on Applied Engineering (ICSAE) Pub Date : 2016-10-01 DOI: 10.1109/ICSAE.2016.7810163

H. Azami, Mohammad Dehghani Soltani, Iman Tavakkolnia

{"title":"An intelligent approach for classification of GPS satellites based on neural network, genetic algorithm and particle swarm optimization","authors":"H. Azami, Mohammad Dehghani Soltani, Iman Tavakkolnia","doi":"10.1109/ICSAE.2016.7810163","DOIUrl":"https://doi.org/10.1109/ICSAE.2016.7810163","url":null,"abstract":"Geometric dilution of precision (GDOP) factor, which is broadly utilized in satellite navigation, denotes the additional multiplicative impact of navigation satellite geometry on positional measurement precision. This factor is frequently employed to select suitable satellites' subsets from at least 24 orbited existing satellites. The GDOP calculation has a time burden including complicated transformation and inversion of measurement matrices. To tackle this shortcoming, neural network- (NN-) based methods using the back propagation (BP) training algorithm have been broadly used. However, there are several parameters for the NN-based approaches that ought to be chosen by many trials. To alleviate this problem and enhance the BP training algorithm, we propose an intelligent approach based on the improved NN training methods and evolutionary algorithms (EAs), including namely, genetic algorithm (GA) and particle swarm optimization (PSO), to classify global positioning system (GPS) satellites using the GDOP factor. The simulation results for the real GPS GDOP data indicate that both the GA and PSO enhance the classification ratios, although the GA leads to higher ratios. The highest classification ratio is obtained by Levenberg-Marquardt training algorithm with GA.","PeriodicalId":214121,"journal":{"name":"2016 International Conference for Students on Applied Engineering (ICSAE)","volume":"184 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900733","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