2019 7th International Conference on Information and Communication Technology (ICoICT)最新文献_第2页

The Usability factors of lost Digital Legacy data from regulatory misconduct: older values and the issue of ownership 监管不当导致的数字遗产数据丢失的可用性因素:旧的价值观和所有权问题

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835309

David M. Cook, Derani Nathasha Dissanayake, K. Kaur

引用次数: 0

Measuring Information Dissemination Mechanism on Retweet Network for Marketing Communication Effort : Case Study: Samsung Galaxy S10 Launch Event 营销传播力度的转推网络信息传播机制测量——以三星Galaxy S10发布会为例

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835380

A. Alamsyah, M. R. D. Putra

引用次数: 4

A Wireless Sensor Network for Fire Detection and Alarm System 一种用于火灾探测和报警系统的无线传感器网络

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835265

Patrick Jason Y. Piera, Joseph Karl G. Salva

{"title":"A Wireless Sensor Network for Fire Detection and Alarm System","authors":"Patrick Jason Y. Piera, Joseph Karl G. Salva","doi":"10.1109/ICoICT.2019.8835265","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835265","url":null,"abstract":"Fire can really be devastating to properties if improperly managed, it is due to this problem that the fire detection and alarm systems were sought for. However, traditional fire alarm system is based on a wiring network which have drawbacks and limitations such as inflexibility of the FDAS layout plan during building construction, and difficulties in renovation where the removal and relocation of traditional FDAS requires additional amount of work. To address these problems, a fire detection and alarm system that is based on wireless sensor network was developed. The FDAS is mainly composed of a fire detection node, a fire alarm node, and a fire alarm control panel. The wireless communication of the nodes was achieved using XBee as the wireless transceiver. The significant characteristic of XBee is the mesh routing protocol which helps the system to be more robust and flexible. The fire alarm control panel is a LabVIEW based program that utilizes the state machine architecture which follows the detect-evaluate-store algorithm. In evaluating the overall system, results illustrate the network of nodes adapts to its location and connects to other nodes whenever it is within their range. Furthermore, the average response time of each detection node with respect to the fire alarm control panel is below the standard of 10-second as stated by the National Fire Alarm and Signaling Code.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133084795","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: 9

Indoor Air Quality Monitoring and Controlling System based on IoT and Fuzzy Logic 基于物联网和模糊逻辑的室内空气质量监测控制系统

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835246

Fadli Pradityo, N. Surantha

引用次数: 27

Exploring Relationship between Headline News Sentiment and Stock Return 头条新闻情绪与股票收益关系探讨

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835298

A. Alamsyah, Siska Prasetya Ayu, B. Rikumahu

{"title":"Exploring Relationship between Headline News Sentiment and Stock Return","authors":"A. Alamsyah, Siska Prasetya Ayu, B. Rikumahu","doi":"10.1109/ICoICT.2019.8835298","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835298","url":null,"abstract":"Information from news is an integral part of investment activity. Such information is widely available from online media platforms, in which we can obtain relatively easy thanks to the development of technology. Despite predicting future stock prices being a hard challenge, the availability of big data is able to support investment decisions. Any relevant news is deemed as a determinant factor for influencing the public decision making. The Efficient Market Hypothesis states that financial markets depend on the availability of information. Sentiment analysis act as assisting tool to support the sentiment classification process, which falls into positive or negative categories. The process uses Naïve Bayes and Support Vector Machine method. We conduct the research to see the relationship of headlines news from 20 companies listed in the Indonesia LQ45 index (February 2013 - August 2018) and stock returns. This study is carried out by Spearman rank correlation in looking at the relationship between stock returns and headline news. The findings of the study indicates that there is a correlation between headline news and stock return.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129112199","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

Face Image Super-Resolution Using Inception Residual Network and GAN Framework 基于初始残差网络和GAN框架的人脸图像超分辨率

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835253

Septian Dwi Indradi, A. Arifianto, Kurniawan Nur Ramadhani

引用次数: 7

Face Spoofing Detection using Color Distortion Features and Principal Component Analysis 基于颜色失真特征和主成分分析的人脸欺骗检测

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835343

Graham Desmon Simanjuntak, Kurniawan Nur Ramadhani, A. Arifianto

引用次数: 8

Smart Shopping Prediction on Smart Shopping With Linear Regression Method 基于线性回归方法的智能购物预测

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835271

Medina Diani Nastiti, M. Abdurohman, Aji Gautama Putrada

引用次数: 7

A Comparative Study of Hollywood Movie Successfulness Prediction Model 好莱坞电影成功预测模型的比较研究

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835385

Riefvan Achmad Masrury, Muhammad Apriandito Arya Saputra, A. Alamsyah, Made Ayunda Sukma Primantari

{"title":"A Comparative Study of Hollywood Movie Successfulness Prediction Model","authors":"Riefvan Achmad Masrury, Muhammad Apriandito Arya Saputra, A. Alamsyah, Made Ayunda Sukma Primantari","doi":"10.1109/ICoICT.2019.8835385","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835385","url":null,"abstract":"The movie industry is a highly competitive industry with a lot of new movies are queued to be released each year. Movie making is subject to potential profits or loss in the magnitude of billion of dollars making this industry very risky. Predicting the successfulness of movie based on its financial performance prior to the release date is valuable in order to reduce number of uncertainties faced by decision makers such as producers, distributors, and exhibitors. Using the concept of machine learning, we suggest a classification model to predict the successfulness of a Hollywood Movie using Artificial Neural Network, Naïve Bayes and Support Vector Machine. The objective of this research is to compare classification algorithms performance for predicting the successfulness of Hollywood movies before they are being released. Artificial Neural Network produces the best model in terms of performance in predicting a movie successfulness. Reaching 80% of accuracy and having above 80% of F-measure, precision, and recall suggests that Artificial Neural Network is a good model to assist producers, distributors and exhibitors assess risks.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132136764","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

Hypnagogia Based Smart Alarm System Using PIR Sensors 基于睡眠状态的PIR传感器智能报警系统

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-24 DOI: 10.1109/ICoICT.2019.8835295

Fitrah Bima Nusantara, Aji Gautama Putrada, M. Abdurohman

引用次数: 3