2017 5th International Conference on Information and Communication Technology (ICoIC7)最新文献_第3页

The significant effect of feature selection methods in spam risk assessment using dendritic cell algorithm 特征选择方法在树突状细胞算法垃圾邮件风险评估中的显著效果

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074688

Kamahazira Zainal, M. Z. Jali

引用次数: 5

Indonesia infrastructure and consumer stock portfolio prediction using artificial neural network backpropagation 利用人工神经网络反向传播预测印尼基础设施和消费股投资组合

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074710

S. Prashant Mahasagara, A. Alamsyah, B. Rikumahu

{"title":"Indonesia infrastructure and consumer stock portfolio prediction using artificial neural network backpropagation","authors":"S. Prashant Mahasagara, A. Alamsyah, B. Rikumahu","doi":"10.1109/ICOICT.2017.8074710","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074710","url":null,"abstract":"Artificial Neural Network (ANN) method is increasingly popular to build predictive model that generated small error prediction. To have a good model, ANN needs large dataset as an input. ANN backpropagation is a gradient decrease method to minimize the output error squared. Stock price movements are suitable with ANN requirement: it is a large data set because stock price is recorded up to every seconds, usually called high frequency data. The implementation of stock price prediction using ANN approach is quite new. The predictive model help investor in building stock portfolio and their decision making process. Buying some stocks in portfolio decrease diversified risk and increases the chance of higher return. In this paper, we show how to generate prediction model using artificial neural network backpropagation of stock price and forming portfolio with predicted price that bring prediction of the portfolio with the smallest error. The data set we use is historical stock price data from ten different company stocks of infrastructure and consumer sector Indonesia Stock Exchage. The results is for lower risk condition, ANN predictive model gives higher expected return than the return from real condition, while for higher risk, the return from the real condition is higher than the ANN predictive model.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133548654","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: 15

Digital clock synchronization using IP with wireless fidelity 数字时钟同步使用IP与无线保真度

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074706

Dhimas Wahyu Pratama, Endro Ariyanto, M. Abdurohman

{"title":"Digital clock synchronization using IP with wireless fidelity","authors":"Dhimas Wahyu Pratama, Endro Ariyanto, M. Abdurohman","doi":"10.1109/ICOICT.2017.8074706","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074706","url":null,"abstract":"A clock in daily-life functions are very much, especially the highly visible usefulness as determination lecture schedules has started and finished. The problems that led to the digital clock is not always accurate, because devices used in the manufacture of digital clock cannot keep time accurately and digital clock run time without using an additional device such as RTC. This clock can also synchronize at the same time according to the time on the computer server for the elapsed time and time in the digital clock is always updated. There are two models, namely digital clock, Raspberry pi as a microcontroller master clock and ESP 8266 as a slave microcontroller clock. Master clock sends the command as a slave as publisher and subscriber will perform a given task, namely, synchronization time and turn the alarm on. The average time accuracy of the master clock for one week is 99.998% and its average deviation time is 1 second in one day, while the clock slave has an average accuracy rate for the week amounted to 99.918% and its average deviation time is 71.29 seconds in one day. During the 6 hours running time, slave clock will run into inaccuracies of up to 17.8 seconds, therefore the synchronization process will be conducted every 6 hours or 4 times a day to maintain its deviation no more than 20 seconds.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131890643","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

Integration of enhanced background filtering and wavelet fusion for high visibility and detection rate of deep sea underwater image of underwater vehicle 基于增强背景滤波和小波融合的水下机器人深海图像高可视性和高检出率

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074678

A. A. Ghani, A. Nasir, W. Tarmizi

{"title":"Integration of enhanced background filtering and wavelet fusion for high visibility and detection rate of deep sea underwater image of underwater vehicle","authors":"A. A. Ghani, A. Nasir, W. Tarmizi","doi":"10.1109/ICOICT.2017.8074678","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074678","url":null,"abstract":"This paper presents an enhanced technique for contrast and visibility improvement for deep sea underwater image which is normally used for underwater robot. The proposed technique uses an integration approach of enhanced background filtering and wavelet fusion methods (EBFWF). The novelty lies in this case in its methodology and capability of the proposed approach to minimize negative underwater effects such as blue and green color casts, low contrast, and low visibility in comparison with other state-of-the-art methods. The proposed method consists of a few steps that aims to eliminate negative effects and thus improving the contrast and visibility of underwater image. This purpose is carried out to provide a better platform for object detection and recognition processes. The input image is first sharpen before the low frequency background is removed. This minimizes the probability of image data to be regarded as noise in the consequences processes' steps. Image histograms are then mapped based on the intermediate color channel to reduce the gap between the inferior and dominant color channels. Wavelet fusion is applied followed by adaptive local histogram specification process. Based on the conduced tests, the proposed EBFWF technique, computationally, more effective and significant in improving the overall underwater image quality. The resultant images processed through the proposed approach could be further used for detection and recognition to extract more valuable information.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037718","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

Automated vehicle class and color profiling system based on fuzzy logic 基于模糊逻辑的自动车辆分类和颜色分析系统

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074681

Aaron Christian P. Uy, R. Bedruz, Ana Riza F. Quiros, John Anthony C. Jose, E. Dadios, A. Bandala, E. Sybingco, Oswald Sapang

引用次数: 10

Planning of LTE network at cawang — Cikarang Utama Toll Road with adaptive soft frequency reuse 基于自适应软频率复用的加旺-芝卡朗乌塔玛收费公路LTE网络规划

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074704

R. Nurhasanah, U. Usman

引用次数: 0

Online collaboration adoption: A case study in Indonesia' ABC Telco company in Indonesia 采用在线协作:以印度尼西亚的ABC电信公司为例

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074708

Indrawati, Duto Pratomo

{"title":"Online collaboration adoption: A case study in Indonesia' ABC Telco company in Indonesia","authors":"Indrawati, Duto Pratomo","doi":"10.1109/ICOICT.2017.8074708","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074708","url":null,"abstract":"ABC Telco as the largest state owned telecommunication company in Indonesia with 16,097 employees had introduced online collaboration application named “Olive” to support company's operational activities since the end of 2014. Olive is targeted to change the way of work of every employee to become more effective and efficient. Either of the number of employees who has registered or employees who have been actively using the application is still small, amounting to 12% of the total employees. In order to increase the adoption of Olive, finding factors that affect the Behavioral intention of ABC employee toward online collaboration applications (Olive) is needed. Based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study proposes a new modified model toward Olive. The measurement tool which consists of 8 constructs and 39 items proposed in this study is valid and reliable. The data to test the model are collected from 526 valid respondents of ABC Telco employees chosen by purposive sampling techniques across Indonesia. The data is analyzed by using SmartPLS2.0 software and the result shows that five independent variables (Performance Expectancy, Social Influence, Habit, Content Quality, Hedonic Motivation) have positive significance influences on Behavioural Intention. While Effort Expectancy and Facilitating Condition have no significance influence on Behavioral Intention. Based on the result of this study, to increase the adoption rate of employees, it is suggested that ABC Company should increase the socialization of applications to employees, add additional features that are entertaining in the application, and use the management as a role model in using Olive.","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201647","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

Gait recognition using temporal gradient patterns 基于时间梯度模式的步态识别

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074680

Jashila Nair Mogan, C. Lee, A. Tan

引用次数: 10

Fraud detection on international direct dial call using hybrid NBTree algorithm and Kullback Leibler divergence

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074676

Aries Yulianto, Adiwijaya, M. Bijaksana, K. Lhaksmana

{"title":"Fraud detection on international direct dial call using hybrid NBTree algorithm and Kullback Leibler divergence","authors":"Aries Yulianto, Adiwijaya, M. Bijaksana, K. Lhaksmana","doi":"10.1109/ICOICT.2017.8074676","DOIUrl":"https://doi.org/10.1109/ICOICT.2017.8074676","url":null,"abstract":"Fraud detection is a serious challenge in the telecommunication sector, including in international direct dial (IDD) call service. Fraudulent activities cause a greater impact on the company because the loss of revenue results in the loss of the gain due to expenses to be paid to global partners to provide an international call interconnection. Therefore IDD call fraud continues to be a concern among all IDD call service providers by developing various methods to overcome the problem. The objective of this paper is to propose a method to detect fraud suspects on IDD call services which combines the advantages of hybrid NBTree and Kullback Leibler divergence (KL-divergence or KLD). NBTree is employed due to its ability to handle large size data and its performance in accuracy and tree size that outperforms Decision Tree and Naive Bayesian. In addition, the use of KL-divergence in fraud detection, similarity measurement, and feature selection has long been proven and implemented practice. The experiment results show that the combination of the two provides better accuracy and F1-measure compared with the previous method: Naive Bayesian Classifier, hybrid Naive Bayesian — KL-divergence, and Support Vector Machine (SVM).","PeriodicalId":244500,"journal":{"name":"2017 5th International Conference on Information and Communication Technology (ICoIC7)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129243687","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

Indexing Voronoi cells using quadtree in spatial database 利用四叉树在空间数据库中索引Voronoi单元格

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI: 10.1109/ICOICT.2017.8074684

Eriza Tri Abdi Nugroho, Kiki Adhinugraha, I. Asror

引用次数: 2