2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)最新文献_第4页

Classification using Support Vector Machine to Detect Cyberbullying in Social Media for Myanmar Language 支持向量机分类检测缅甸语社交媒体中的网络欺凌

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942212

Yuzana Win

{"title":"Classification using Support Vector Machine to Detect Cyberbullying in Social Media for Myanmar Language","authors":"Yuzana Win","doi":"10.1109/icce-asia46551.2019.8942212","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942212","url":null,"abstract":"As a growth of the technological world, web technologies and social networking emerged and played an important role in telecommunication. People misuse the social network as a new weapon to make a person attack unable to find the identity of the attacker. Due to the illegal action, the technological world seems to face new challenges and new risks like cyberbullying. This paper proposes a supervised method for detection of Myanmar cyberbullying in social media by using Support Vector Machine (SVM) classifier. The proposed method includes three main steps: data preprocessing, word segmentation, and classification. In the first step, we extract the posts written in Myanmar text from social media. We break the posts and sentences into syllables into words by using the Longest Syllable Matching approach along with a dictionary as the second step. For the third step, we apply Support Vector Machine classifier to detect cyberbullying in social media whether the bullying words or not. Consequently, the experimental result shows that our method obtains 0.7540 classification accuracy in terms of F-score.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128052","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

Exploring Deep Learning-based Branch Prediction for Computer Devices 探索基于深度学习的计算机设备分支预测

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942202

Yeongeun Seo, Jaehyun Park, Jung Ho Ahn, Taesup Moon

{"title":"Exploring Deep Learning-based Branch Prediction for Computer Devices","authors":"Yeongeun Seo, Jaehyun Park, Jung Ho Ahn, Taesup Moon","doi":"10.1109/icce-asia46551.2019.8942202","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942202","url":null,"abstract":"Branch predictor is a critical component in CPUs because its prediction accuracy highly influences the performance of computer devices. This technology attempts to predict whether a branch instruction is ‘taken’ or ‘not taken’ and executes the following instructions in an execution order based on the prediction result. If the prediction is incorrect, those speculatively executed instructions must be rolled back, causing overheads on both performance and energy efficiency. Conventional branch predictors typically adopt rule-based methods exploiting branch history (i.e., whether recently encountered branches in the course of execution or on the same address of the current instruction were taken or not), whereas deep learning-based prediction methods have been recently proposed. In this paper, we show the neural network model learned with less dataset generalizes well for all applications, not just for specific applications in the training set. Also, unlike the previous deep learning-based branch prediction studies, which were difficult to reproduce, this paper includes clear experiment contents.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130878500","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

Portable Blood Typing Device Using Image Analysis 使用图像分析的便携式血型检测装置

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8941604

Jennifer C. Dela Cruz, Ramon G. Garcia, Annissa Vi C. Diaz, Angelika Mae B. Diño, Danielle Jane I. Nicdao, Christine Shayne S. Venancio

{"title":"Portable Blood Typing Device Using Image Analysis","authors":"Jennifer C. Dela Cruz, Ramon G. Garcia, Annissa Vi C. Diaz, Angelika Mae B. Diño, Danielle Jane I. Nicdao, Christine Shayne S. Venancio","doi":"10.1109/icce-asia46551.2019.8941604","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941604","url":null,"abstract":"Blood type can be determined by the presence or absence of antigens in the red blood cells, and can be classified by the ABO (A, $B$, AB, O) and Rh D (either positive or negative) systems. Knowing one's blood type is one of the most crucial steps before blood transfusion or any medical operations to prevent the risk of receiving incompatible blood that could lead to adverse or even fatal reactions to patients. Although fully automated blood testing instruments are already being used in some major hospitals, its large size and long processing time, limit its ability to be used in emergency situations. Hence, during onsite blood typing, the traditional or the slide method is being used, which is less accurate due to human errors. This paper presents a raspberry pi based image processing system that is capable of determining all eight types of blood using Canny Edge and Contour Detection. All blood types detected by the proposed system matched that of the known blood samples for the controlled testing of all five samples with five trials each sample for the known A+, $B$+ AB+, O+, A-, B-, AB- and O-. Uncontrolled testing was also performed to compare the results of the ten random blood types identified by the proposed prototype to the results obtained from test tube method. All these ten samples matched the results obtained from the clinical laboratory. This portable and automated device could avoid human errors, without risking accurate results that could be obtain in a short period of time.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726619","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

Maximum Sustained Wind Speed Simulation of Storm Surge with Long Short-Term Memory 具有长短期记忆的风暴潮最大持续风速模拟

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942201

A. M. Tun, May Aye Khine

引用次数: 0

Ambient Mode: A Novel Service and Intelligent Control based on User Awareness using BLE and Wi-Fi 环境模式:一种基于BLE和Wi-Fi用户感知的新型服务和智能控制

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942196

Suk-Un Yoon, Jinho Kim, Jongha Woo, Younghoon Moon, Cheul-hee Hahm

{"title":"Ambient Mode: A Novel Service and Intelligent Control based on User Awareness using BLE and Wi-Fi","authors":"Suk-Un Yoon, Jinho Kim, Jongha Woo, Younghoon Moon, Cheul-hee Hahm","doi":"10.1109/icce-asia46551.2019.8942196","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942196","url":null,"abstract":"In this paper, we introduce a novel service, Ambient Mode, which delivers a functional value to customers when TV is off. Instead of showing a meaningless black screen, the Ambient Mode provides meaningful and emotional background experiences. To mitigate users' concern about the cost of using the Ambient feature, the TV intelligently detects the presence of a person in the room from the registered mobile's BLE (Bluetooth Low Energy) signal and Wi-Fi connection to AP (Access Point). If there is no user nearby, the TV intelligently turns off, to save energy (a manual-off timer is available too). To interact with both Android phone and iPhone, we design a general BLE advertisement for Android phone and an iBeacon format for iPhone. On the BLE proximity-based service, the Ambient Mode can be turned off/on based on the BLE signal presence. On the Wi-Fi connection based service for long-range detection, TV can detect mobile's AP connection using ARP (Address Resolution Protocol). The proposed service and intelligent controls have been implemented as real products and launched the service of Ambient Mode in the market.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831154","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

An Approach to Non-contact Monitoring of Respiratory Rate and Breathing Pattern Based on Slow Motion Images 一种基于慢动作图像的呼吸频率和呼吸模式非接触监测方法

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942221

Prasara Jakkaew, T. Onoye

{"title":"An Approach to Non-contact Monitoring of Respiratory Rate and Breathing Pattern Based on Slow Motion Images","authors":"Prasara Jakkaew, T. Onoye","doi":"10.1109/icce-asia46551.2019.8942221","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942221","url":null,"abstract":"Respiratory rate is the first observation to indicate a health problem. This study presents an approach to noncontact monitoring of respiratory rate and breathing pattern based on slow-motion images focus on sleeping positions. The movement while breathing is too tiny to be observed with the naked eyes. The body movement is captured by the slow-motion mode built in a smartphone camera. The primary benefit of this approach is the utilization of an accessibility device which everyone can use at home. The respiratory rate was obtained from the intensity value in the selected region of interest around the chest and abdomen area with used the Gaussian filter to reduce the noise. A motion tracking algorithm was implemented to track the region of interest movements. The obtained signal should be smoothed to reflect the breathing pattern then the Findpeaks function is applied in order to count the number of peaks for representing the number of the breaths. The result demonstrates that simple computer vision techniques can provide highly accurate breathing assessment. The accuracy depends on the location and size of region of interest, signal smoothing, and filter types. Besides, other variables affect accuracy, such as background views or patterns on clothing.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129594234","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

Implementation of Novel Fractional Powered Binomial Filter (FPBF) in 5G-UFMC 新型分数阶供电二项滤波器(FPBF)在5G-UFMC中的实现

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942198

Rafee Al Ahsan, A. Baki

引用次数: 4

Design and Implementation of an Intravenous Infusion Control and Monitoring System 静脉输液控制与监测系统的设计与实现

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8941599

M. V. Caya, Marvin U. Cosindad, Nicanor I. Marcelo, Jose Nicolas M. Santos, J. L. Torres

引用次数: 14

Impacts of Artefacts and Adversarial Attacks in Deep Learning based Action Recognition 人工制品和对抗性攻击在基于深度学习的动作识别中的影响

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942197

Anh H. Nguyen, Huyen T. T. Tran, Duc V. Nguyen, T. Thang

引用次数: 1

Occluded Facial Recognition with 2DPCA based Convolutional Neural Network 基于2DPCA的卷积神经网络遮挡人脸识别

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI: 10.1109/icce-asia46551.2019.8942204

Sittiphan Sarapakdi, Phaderm Nangsue, Charnchai Pluempitiwirivawej

引用次数: 2