2019 7th International Conference on Information and Communication Technology (ICoICT)最新文献_第8页

Haversine Method and LoRa for Monitoring Entry of Fishing Vessel in Marine Protected Areas 监测渔船进入海洋保护区的Haversine方法和LoRa

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835243

Francis Jerric J. Candido, Rojay Flores, Percival J. Forcadilla

引用次数: 3

ICoICT 2019 Program ICoICT 2019计划

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/icoict.2019.8835297

引用次数: 0

Virtual Password Authentication Scheme in Hashed Domain 哈希域虚拟密码认证方案

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835322

Mohammad Zakie Faiz Rahiemy, Parman Sukarno

引用次数: 0

Identification of Ultra High-Energy Cosmic Rays Primary Particles Initializing Air Showers on a base of ADC traces from Water Cherenkov Detectors 基于水切伦科夫探测器ADC轨迹的超高能宇宙射线初级粒子初始化空气雨淋的识别

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835349

Z. Szadkowski, A. Józwik, K. Pytel

{"title":"Identification of Ultra High-Energy Cosmic Rays Primary Particles Initializing Air Showers on a base of ADC traces from Water Cherenkov Detectors","authors":"Z. Szadkowski, A. Józwik, K. Pytel","doi":"10.1109/ICoICT.2019.8835349","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835349","url":null,"abstract":"Ultra high-energy cosmic rays (UHECRs) remain still a mystery in the modern astrophysics. Cosmic rays have been detected up to particle energies around 1020 eV and are the highest energy particles in the present Universe. In spite of a reasonable number of events already collected by large experiments around the world, their origin is still largely unknown. One of the most important topics is an identification of the primary particle initializing a development of air showers in the atmosphere. One of widely used techniques of detection are water Cherenkov detectors (WCD) spread on a large area allowing a registration of detector crossing particles.Simulation packages a) CORSIKA (simulated a development of air showers in the atmosphere) and b) Offline (simulated a photo-multipliers response in the WCD) allow a analysis of expected ADC traces in the detector electronics. As up to now neutrino-origin traces are practically not detected, it is crucial to solve a problem: either the neutrino stream is too rare for detector or the detector technique is not oriented enough for neutrino events. The paper analyses three methods which could be used for a support of the standard triggers.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130549878","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

Enterprise Architecture for the Fire Rescue Services 消防救援服务的企业体系结构

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835254

Natasha Manick, Ashvin Appigadoo, Bibi Zarine Cadersaib

引用次数: 0

Development of a Sharaf Table for Vocabulary in the Qur’an using Rule Based 基于规则的古兰经Sharaf词汇表的开发

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835361

T. Kurniawan, Moch Arif Bijaksana, A. Huda

引用次数: 1

Storytelling Technique Using Three Act Structure and Directed Graph for Virtual Reality Game (case study : UrBandung Legend) 基于三幕结构和有向图的虚拟现实游戏叙事技巧(以《都市传说》为例)

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/icoict.2019.8835274

Bambang Pudjoatmodjo, Rizza Indah Mega Mandasari, S. Salam, Amira Nur Khalipah, Ardhi Akmaludin Jadhira, F. Ramdhani

引用次数: 1

Mobile Edge Computing based Mixed Reality Application for the Assistance of Blind and Visually Impaired People 基于移动边缘计算的混合现实辅助盲人和视障人士应用

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835341

Arifa Akter, A. Islam, S. Shin

{"title":"Mobile Edge Computing based Mixed Reality Application for the Assistance of Blind and Visually Impaired People","authors":"Arifa Akter, A. Islam, S. Shin","doi":"10.1109/ICoICT.2019.8835341","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835341","url":null,"abstract":"Mixed Reality (MR) applications are becoming very popular in different sectors such as communication, education and entertainment for its extensive application areas and also for the wide adoption of mobile and especially wearable devices. Due to weak computational efficiency and short battery life of these devices, MR applications performance can be hampered. Offloading the burden of MR application to the cloud server can be a solution to this problem but this approach also creates high communication latency. Mobile Edge Computing (MEC) is an emerging technology which brings cloud close to the user proximity at the base station and utilizes radio access network for maintaining communication with the users. This paper presents a MEC based MR application for assisting blind and visually impaired people. In the proposed scheme, the computational task is offloaded to the nearest MEC server in order to prolong the battery life of the MR devices. Finally, experimental results based on latency and energy consumption are discussed in order to demonstrate the feasibility of the proposed scheme.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124908079","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

Gait Recognition Using Deep Convolutional Features 基于深度卷积特征的步态识别

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835194

Pang Min, S. Sayeed, T. Ong

{"title":"Gait Recognition Using Deep Convolutional Features","authors":"Pang Min, S. Sayeed, T. Ong","doi":"10.1109/ICoICT.2019.8835194","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835194","url":null,"abstract":"Human gait recognition is the tracking of the people through their walking and recognizing human motion. Due to the benefit of remote access and un-cooperative subjects, gait recognition has gained attention in biometric-based identification. Gait recognition can be achieved by extraction distinct features by using hard-craft feature extraction and deep-learned features. Due to the disadvantage of hand-craft feature extraction that is not easily scalable for the diverse dataset, we proposed the convolutional neural network for feature learning in this paper. We presented simple ten layers’ convolutional network architecture with the Gait Energy Image as the input. Since gait recognition requires long training time, we use different activation functions in order to evaluate the result in term of classification accuracy and computational time. As for the activation functions, we utilized Rectified Linear Unit (ReLU), Leaky Rectified Linear Unit (LeakyReLU) and Parametric Rectified Linear Unit (PReLU) within the same CNN architecture. The experimental results indicate that the proposed method achieved the excellent recognition rate of 98.8% with less training time using CASIA-B Gait dataset.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131528488","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: 21

Prediction of Agriculture and Mining Stock Value Listed in Kompas100 Index Using Artificial Neural Network Backpropagation 利用人工神经网络反向传播预测康普100指数中农矿业股票价值

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835284

Meizir, B. Rikumahu

{"title":"Prediction of Agriculture and Mining Stock Value Listed in Kompas100 Index Using Artificial Neural Network Backpropagation","authors":"Meizir, B. Rikumahu","doi":"10.1109/ICoICT.2019.8835284","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835284","url":null,"abstract":"Company's stock prices in the market are very fluctuating, where its value experiences up and down according to market condition. Based on that fact, stock price become very difficult to be predicted or even estimated. Therefore, analysis of stock price movement predictions is heavily required as investment decision reference for investor. This paper uses technical analysis with Artificial Neural Network Backpropagation method as one of machine learning methodology which has commonly used along with rapid development of data mining and big data analytic that produces a prediction with high accuracy and the least error. The objects in this paper were four companies in the agricultural and mining sector, which was among Kompas100 index with the largest market capitalization in the period of 2013 to 2018. Based on the results of research with several variations of the experiment using varying hidden layer values 10, 20, 30 with variations in SGD values: 0.01, 0.001 and 0.0001 as well as variations in epoch 100, 200 and 300 values, resulting in network predictive models that provide training with error rates the minimum error is in the 5-20-1 model with a value of SGD 0.01 and epoch 300. Accuracy performance prediction of using MAE, MSE, RMSE and MAPE shows that the deviation of the predicted values of Artificial Neural Network Backpropagation from the actual values at agricultural and mining stock prices is low enough to conclude that stock predictions are accurate","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131722365","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