2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)最新文献

An Integral Representation of Generalized k-Mittag-Leffler Function of the Type $GE_{k, alpha, beta, delta,p}^{gamma, q}(z)$ 一类广义k-Mittag-Leffler函数的积分表示 $GE_{k, alpha, beta, delta,p}^{gamma, q}(z)$

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8783069

S. Joshi, E. Mittal

引用次数: 0

Evaluation of Automotive Power Line Communication Channels by Shrink and Spread Techniques 用收缩和扩展技术评价汽车电力线通信信道

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8783189

T. Khongdeach, Wachira Chongburee, Chalisa Thumkanon

引用次数: 0

Development of a Wearable Household Objects Finder and Localizer Device Using CNNs on Raspberry Pi 3 在树莓派3上使用cnn开发可穿戴家用目标查找器和定位器设备

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8782924

Pruttapon Maolanon, Kanianapan Sukvichai

{"title":"Development of a Wearable Household Objects Finder and Localizer Device Using CNNs on Raspberry Pi 3","authors":"Pruttapon Maolanon, Kanianapan Sukvichai","doi":"10.1109/WIECON-ECE.2018.8782924","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2018.8782924","url":null,"abstract":"Aging society is the future for most of countries and it creates many issues for both elderly and other family members. Working age members have to work outside in the day time to get enough income for the family. Elderly are forced to live alone and facing a difficulty because they cannot see things clearly. In this research, Convolutional Neural Networks (CNNs) for household objects finder and localizer is proposed. Raspberry Pi 3 is used to create a wearable device for elderly to help see objects and tell the type and location of the objects via voice. YOLO neuron network is selected because of the speed and resource consumption. Data set of household objects images was prepared and fed into YOLO network as training inputs. Training process is done on a desktop computer before transferred into Raspberry Pi 3. Trained YOLO can classify and local several objects in the same time with accuracy of 83%. By using PeachPy and NEON instruction set for compiling YOLO in ARM environment, the speed of detection and localization in Raspberry Pi 3 equals to 0.8 seconds per image. Prototype of wearable device is built by using a camera, headphone, push switch, battery and Raspberry Pi 3. Device will capture an image when a push switch is pressed and Raspberry Pi returns pre-recorded voice results consist of objects types and their locations through headphone to elderly.","PeriodicalId":225541,"journal":{"name":"2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127780680","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: 7

Document Concept Hierarchy Generation by Extracting Semantic Tree Using Knowledge Graph 利用知识图提取语义树生成文档概念层次

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8783083

Sanjida Nasreen Tumpa, Muhammad Masroor Ali

引用次数: 2

Consistent Sparse Representation based on Discriminative Dictionary Learning for Face Recognition 基于判别字典学习的一致性稀疏表示人脸识别

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8783169

E. Phaisangittisagul, S. Thainimit

{"title":"Consistent Sparse Representation based on Discriminative Dictionary Learning for Face Recognition","authors":"E. Phaisangittisagul, S. Thainimit","doi":"10.1109/WIECON-ECE.2018.8783169","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2018.8783169","url":null,"abstract":"Feature engineering or feature extraction is an essential ingredient of machine learning recipes which can produce the huge difference to obtain an effective predictive model. This process is applied to transform an original input data into a high-level feature representation for training a predictive model. In image classification, sparse representation is one of the widely used techniques to represent images as linear combinations of an overcomplete dictionary. In this work, discriminability of samples from different classes and consistency of samples from the same categories are introduced by combining class labels into a dictionary learning process. However, it is time-consuming to compute the sparse coding as a result of sparsity constraint during optimization. Therefore, linear predictive model is applied to approximate the sparse representation features used to train a classification model. The performance of the proposed algorithm is compared to some existing discriminative sparse coding algorithms on benchmark dataset of face recognition. The results of the proposed method present improvement in both classification accuracy and computation time on the testing face images.","PeriodicalId":225541,"journal":{"name":"2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130850588","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: 0

Analysis on Gender Differences in Energy Conservation Behaviour 节能行为的性别差异分析

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8783020

N. S. Isnin, Z. Zakaria, Z. Yasin, S. H. Shariff

引用次数: 1

WIECON-ECE 2018 Technical Program WIECON-ECE 2018技术方案

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/wiecon-ece.2018.8782919

引用次数: 0

An Automated Cloud-Based Digitized Management System for Rohingya Refugee Camp in Bangladesh 孟加拉国罗兴亚难民营基于云的自动化数字化管理系统

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8783118

Firoj Alam, M. Munir, S. Ishrak, Sonaila Hussain, Farahnaz Reza, Nabila Shahnaz Khan, Sanjida Nasreen Tumpa, Md. Mahboob Karim

引用次数: 0

High-Speed and Area-Efficient LUT-Based BCD Multiplier Design 基于lut的高速高效BCD乘法器设计

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/WIECON-ECE.2018.8782994

Zarrin Tasnim Sworna, Mubinul Haque, D. Anisuzzaman

{"title":"High-Speed and Area-Efficient LUT-Based BCD Multiplier Design","authors":"Zarrin Tasnim Sworna, Mubinul Haque, D. Anisuzzaman","doi":"10.1109/WIECON-ECE.2018.8782994","DOIUrl":"https://doi.org/10.1109/WIECON-ECE.2018.8782994","url":null,"abstract":"For scientific, research, business and financial purpose multiplication is the rudimentary mathematical operation. Besides, BCD (Binary Coded Decimal)representation is prevailing in the computing and electronic communication for its accuracy and human-readability with ease of conversion. In this paper, an N × M-digit BCD multiplication algorithm is proposed, where the recoding, partial product generation, partial product reduction and BCD conversion steps of the conventional multiplication process are avoided for efficiency. Moreover, BCD multiplier is more effective with a LUT (Look-Up Table)-based design, due to FPGA (Field Programmable Gate Array) technology's enumerable benefits and applications. An area and delay efficient N × M-digit multiplier circuit is demonstrated followed by a 1-Digit LUT-based direct multiplier circuit. The proposed single digit multiplier circuit is 28.57% and 38.32% area and delay efficient respectively than the existing best known single digit multiplier circuit. Moreover, the proposed N × M-digit multiplier circuit is 19.79 % and 33.98 % efficient in terms of area and delay parameter, respectively for 16 × 16 digit multiplication.","PeriodicalId":225541,"journal":{"name":"2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121759213","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

2018 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (IEEE WIECON-ECE 2018) 2018年IEEE国际工程女性(WIE)电气与计算机工程会议(IEEE WIECON-ECE 2018)

2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2018-12-01 DOI: 10.1109/wiecon-ece.2018.8783145

Kukjin Chun

引用次数: 1