2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)最新文献_第4页

Faster Sorting for Flash Memory Embedded Devices 更快的排序闪存嵌入式设备

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861811

Riley Jackson, R. Lawrence

{"title":"Faster Sorting for Flash Memory Embedded Devices","authors":"Riley Jackson, R. Lawrence","doi":"10.1109/CCECE.2019.8861811","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861811","url":null,"abstract":"Embedded devices collect and process data in a wide variety of applications including consumer and personal electronics, healthcare, environmental sensors, and Internet of Things (IoT) deployments. Processing data on the device rather than sending it over the network for analysis is often faster, more energy efficient, and supports decision-making closer to data collection. A fundamental data manipulation operation is sorting. Sorting on embedded devices with flash memory is especially challenging due to the very low memory and CPU resources. Previous work developed customized algorithms that avoided writes and minimized memory usage. The standard external merge sort algorithm has limited application on small devices as it requires a minimum of three memory buffers and is not flash-aware. The contribution of this work is an extension of external merge sort that requires only two memory buffers and is optimized for flash memory. The result is an algorithm that improves on the state-of-the-art and applies to a wider range of devices. Experimental results demonstrate that when sorting large data sets with small memory the algorithm reduces I/Os and execution time by about 30%.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116635496","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

Towards Sequential Decision-Based Cooperative Spectrum Sensing Using Random Medium Access 基于随机介质接入的顺序决策协同频谱感知研究

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861824

A. Ahmed, A. A. Alkheir, H. Mouftah

引用次数: 0

A New Power Tracker for Distributed and Partially Shaded PV Systems 分布式和部分遮阳光伏系统的新型电力跟踪器

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052400

F. Keyrouz

{"title":"A New Power Tracker for Distributed and Partially Shaded PV Systems","authors":"F. Keyrouz","doi":"10.1109/CCECE43985.2019.9052400","DOIUrl":"https://doi.org/10.1109/CCECE43985.2019.9052400","url":null,"abstract":"Renewable energy is gaining ground in distribution networks and is getting widespread throughout the world. This is due to several reasons including a continuous increase in energy demand, reduced supply of conventional fuels, and growing concerns about environmental protection. Electrical energy generated by photovoltaic (PV) power sources is quickly becoming the most promising renewable source mainly due to decreasing manufacturing cost and increased efficiency. Interconnecting a PV source with a load requires a power electronic device made of a DC-DC buck/boost converter and a controller. This device constitutes the so-called maximum power point tracker (MPPT). The proper design of this device is critical for maximizing the output power of the PV module and therefore optimizing the system’s efficiency, especially under varying operating conditions. It is the task of the present paper to tackle the design of distributed MPPT units based on machine learning and artificial intelligence to properly work under these varying conditions. Simulation and experimental results provide a clear picture of the improved performance of the proposed design as compared to state-of-theart techniques found in literature, especially regarding reaction time and power efficiency.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131706707","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

Detection of Event Related Patterns using Hilbert Transform in Brain Computer Interface 基于Hilbert变换的脑机接口事件相关模式检测

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861570

Fatemeh Shahlaei, Niraj Bagh, M. Zambare, R. Machireddy, A. D. Shaligram

{"title":"Detection of Event Related Patterns using Hilbert Transform in Brain Computer Interface","authors":"Fatemeh Shahlaei, Niraj Bagh, M. Zambare, R. Machireddy, A. D. Shaligram","doi":"10.1109/CCECE.2019.8861570","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861570","url":null,"abstract":"The feature extraction and classification of motor imagery (MI) tasks comprehend incentive issues in the scope of electroencephalogram (EEG) based brain computer interface (BCI). In this study, proposed method i.e. Hilbert transform (HT) is used for the detection of event-related patterns (ERPs) and the machine learning classifiers were implemented for the classification of both left and right hand MI tasks. The proposed method followed two steps: First, sensorimotor frequency band (8–30 Hz) related to MI activities were extracted from the signals. The important features i.e. band power (BP) and ERPs were extracted from the HT. The significant extracted features were fed into the different machine learning classifiers such as Naive Bayes (NB), linear discriminant analysis (LDA) and support vector machine (SVM). The classification accuracy (% CA), Cohen’s kappa coefficient (K) and area under the receiver operating characteristic (Auc) for all classifiers were evaluated. The proposed method was tested on publicly available BCI-competition 2008 Graz data set (II-b). Results show that the features extracted from the HT meets higher performance (% CA=82.22%, K=0.63 and Auc =0.81) in comparison with the conventional methods. Which is demonstrates that the proposed approach has capability to enhance BCI for real-time applications.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128062617","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

Secure Online Examination System for e-learning 安全在线考试系统的电子学习

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052408

Jegatha Deborah L, K. R, V. P., B. Rawal, Yong Wang

引用次数: 11

A Proposed Intelligent Adaptive Controllers for Wind Turbine Driving DFIG for Improving the Output Generated Power 一种用于风电机组驱动DFIG的智能自适应控制器，以提高输出功率

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052390

H. Aly

{"title":"A Proposed Intelligent Adaptive Controllers for Wind Turbine Driving DFIG for Improving the Output Generated Power","authors":"H. Aly","doi":"10.1109/CCECE43985.2019.9052390","DOIUrl":"https://doi.org/10.1109/CCECE43985.2019.9052390","url":null,"abstract":"Renewable energy resources are considered as an important topic these days and in the near future due to the climate changes and environmental issues. Wind energy is promising to reduce the production of CO2 emission. The wind power is fluctuating and intermittent due to the wind speed fluctuation. Adjusting the generated output power is not an easy issue unless we have an intelligent system. This work is proposing intelligent adaptive controllers to improve the quality of the wind output power generated. The proposed controllers are of proportional integrals types, but they are intelligent and adaptable. They take their signals from the wind speed, wind power generated and the required nominal wind output power. Depending on these signals the controllers parameters are adjusted to improve the quality of the generated output power. These controllers are tested using Simulink/Matlab. The results prove the effectiveness of the proposed controllers in improving the generated output wind power. The wind turbine with these proposed controllers could work under different severe conditions.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133680703","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

Design and Testing of Magnetohydrodynamic Propulsion System for a Small Vessel Using Powdered Iron Core Electromagnets 小型船舶粉末铁芯电磁铁磁流体动力推进系统设计与试验

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861567

Adel Aktaibi, Winston D. Hoffman, R. L. Hall

引用次数: 0

Approximate Leading One Detector Design for a Hardware-Efficient Mitchell Multiplier 一种硬件高效的Mitchell乘法器的近似前导检测器设计

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861800

S. Gandhi, M. S. Ansari, B. Cockburn, Jie Han

{"title":"Approximate Leading One Detector Design for a Hardware-Efficient Mitchell Multiplier","authors":"S. Gandhi, M. S. Ansari, B. Cockburn, Jie Han","doi":"10.1109/CCECE.2019.8861800","DOIUrl":"https://doi.org/10.1109/CCECE.2019.8861800","url":null,"abstract":"We propose two approximate leading one detector (LOD) designs and an approximate adder (for summing two logarithms) that can be used to improve the hardware efficiency of the Mitchell logarithmic multiplier. The first LOD design uses a single fixed value to approximate the ‘d’ least significant bits (LSBs). For d=16 this design reduces the hardware cost by 19.91% compared to the conventional 32-bit Mitchell multiplier and by 15.19% when compared to a recent design in the literature. Our design is smaller by 32.33% and more energy-efficient by 56.77% with respect to a conventional Mitchell design. The second design partitions the ‘d’ bits into smaller fields and increases the accuracy by using a multiplexing scheme that selects a closer approximation to the actual input value. This design reduces the hardware cost by 17.98% compared to the original Mitchell multiplier and by 13.15% when compared to the other recent design. Our design is smaller by 29.17% and more energy-efficient by 56.18% with respect to the conventional Mitchell design. In the approximate adder, the ‘m’ least significant bits are set to a fixed bias of alternating ones and zeros. The optimal values of ‘d’ and ‘m’ are chosen to preserve the full accuracy of the conventional Mitchell multiplier while reducing the hardware cost. The new designs produce increased signed errors for inputs less than or equal to 216 but for larger numbers the accuracy is equal to that of the conventional Mitchell multiplier. The approximation affects only the $2^{16} -1$ smallest input values out of $2^{32} -1$. The new approximate multipliers are suitable for applications where approximation errors affecting the least significant digits can be tolerated.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122132383","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: 13

New Power Wave Network Analyses and Power Reciprocity 新型功率波网络分析与功率互易

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE43985.2019.9052391

R. Johnston

引用次数: 0

A Low Power and Low Noise Voltage-Controlled Oscillator in 28-nm FDSOI Technology for Wireless Communication Applications 一种用于无线通信的28nm FDSOI技术的低功耗低噪声压控振荡器

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) Pub Date : 2019-05-05 DOI: 10.1109/CCECE.2019.8861796

A. Khan, Jaime Cardenas, Li Chen, M. Khan, Aqeel A. Qureshi

引用次数: 1