2021 9th International Conference on Information and Communication Technology (ICoICT)最新文献_第7页

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527449

Wei Liu, Kian Ming Lim, C. Lee

引用次数: 1

Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews 基于深度学习的印尼餐厅评论方面词提取方法

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527472

Rachmansyah Adhi Widhianto, A. Romadhony

引用次数: 1

FN-Net: A Deep Convolutional Neural Network for Fake News Detection FN-Net:用于假新闻检测的深度卷积神经网络

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527500

Kian Long Tan, Chin Poo Lee, K. Lim

{"title":"FN-Net: A Deep Convolutional Neural Network for Fake News Detection","authors":"Kian Long Tan, Chin Poo Lee, K. Lim","doi":"10.1109/ICoICT52021.2021.9527500","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527500","url":null,"abstract":"Information and communication technology has evolved rapidly over the past decades, with a substantial development being the emergence of social media. It is the new norm that people share their information instantly and massively through social media platforms. The downside of this is that fake news also spread more rapidly and diffuse deeper than before. This has caused a devastating impact on people who are misled by fake news. In the interest of mitigating this problem, fake news detection is crucial to help people differentiate the authenticity of the news. In this research, an enhanced convolutional neural network (CNN) model, referred to as Fake News Net (FN-Net) is devised for fake news detection. The FN-Net consists of more pairs of convolution and max pooling layers to better encode the high-level features at different granularities. Besides that, two regularization techniques are incorporated into the FN-Net to address the overfitting problem. The gradient descent process of FN-Net is also accelerated by the Adam optimizer. The empirical studies on four datasets demonstrate that FN-Net outshines the original CNN model.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122950551","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

4G LTE Cellular Network Coverage Planning and Simulation on Mandalay Area with Propagation Model Cost-Hatta 基于传播模型Cost-Hatta的曼德勒地区4G LTE蜂窝网络覆盖规划与仿真

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527455

A. Idris, S. Rahmatia, M. Ismail

{"title":"4G LTE Cellular Network Coverage Planning and Simulation on Mandalay Area with Propagation Model Cost-Hatta","authors":"A. Idris, S. Rahmatia, M. Ismail","doi":"10.1109/ICoICT52021.2021.9527455","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527455","url":null,"abstract":"Cellular networking technology is undeniably an expensive field, especially on the infrastructure side. To achieve maximum resource efficiency and effectiveness, a plan is needed. To estimate the most appropriate cell throughput, to decrease the number of equipment used, to answer the need for traffic analysis, and to get the most optimal capacity, network planning and simulation are required. Cellular Network Planning can be defined as a process that involves series of activities to determine a cost-effective and optimal network design plan.. This simulation was made for Mandalay region, located in Myanmar. With a total computational size zone of 656,198 km2, the aim is to have a better understanding of planning and doing a simulation on the said region. With Cost- Hatta model propagation, CVVPX310R1 antenna type, and E- UTRA Band 3 - 20MHz frequency band, 58 LTE transmitter are placed. After a simulation that consists of manual and automatic planning, several planning parameters: RSRP, RSRQ, SINR, best serving, and throughput are calculated. The results are then served to show the effects of plans made before. While this research might not be particularly special, author hoped that this might become helpful for those who come across similar research.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123348957","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

Sustainability And Aptness Of Game Elements In A Gamified Learning Environment 游戏化学习环境中游戏元素的可持续性和适应性

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527499

M. Sanmugam

{"title":"Sustainability And Aptness Of Game Elements In A Gamified Learning Environment","authors":"M. Sanmugam","doi":"10.1109/ICoICT52021.2021.9527499","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527499","url":null,"abstract":"Sustaining the interest level of students in any form of technology-based learning poses a significant challenge. Infusion of any tech-based elements into learning may not be sufficient for Generation-Z students, whose lives revolve around technology. Although gamification, game elements in non-gaming contexts are more comfortable being implemented by ordinary people with no tech-based knowledge. Nevertheless, in the context of learning, the sustainability of the game elements needs to be identified. Therefore, mixed-method research was conducted on 28 students aged 13 years old from an urban school in Malaysia for 14 weeks. The students were introduced to a gamified learning method that infused gamification elements in the traditional classroom and the online classroom. The game elements tested were points, badges, and leader boards. Students were taught two separate topics in the Malaysian Science syllabus using gamified learning to ensure the students' continuity effects. Upon completion, the game elements' final tally was assessed and supported by the interview feedback from the top 3 students from each game element. Based on the findings, gamified learning with game elements helped reduced boredom and using technology made learning fun. Although some respondents shared the fear of complacency of using games in learning, the mixed response was reported to the preferred type of game elements or type of learning that suits the game elements.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115543873","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

XB-Pot: Revealing Honeypot-based Attacker’s Behaviors XB-Pot:揭示蜜罐攻击者的行为

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527422

Ryandy Djap, Charles Lim, Kalpin Erlangga Silaen, Andi Yusuf

引用次数: 10

Tone Detection System Design for Targets with Frequency Drift 频率漂移目标的音调检测系统设计

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527412

B. Comar

引用次数: 1

Comparative Analysis of Support Vector Machine (SVM) and Random Forest (RF) Classification for Cancer Detection using Microarray 支持向量机(SVM)与随机森林(RF)分类在微阵列癌症检测中的比较分析

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527458

Irawansyah, Adiwijaya, W. Astuti

{"title":"Comparative Analysis of Support Vector Machine (SVM) and Random Forest (RF) Classification for Cancer Detection using Microarray","authors":"Irawansyah, Adiwijaya, W. Astuti","doi":"10.1109/ICoICT52021.2021.9527458","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527458","url":null,"abstract":"Cancer is the second leading cause of death globally. According to the World Health Organization (WHO) in 2018, approximately 9.6 million deaths were caused by cancer. Globally, about 1 in 6 deaths are caused by cancer. One way to detect cancer is to use microarray data classification. Microarray technology is used to detect the expression of thousands of genes at the same time to analyze and diagnose cancer. However, microarray data have high dimensions because of its large features and low data distribution, which means that it has a small data samples, which causes low performance. To overcome this problem, dimension reduction is needed. Therefore, it is necessary to reduce the dimensions of microarray data with Random Projection (RP) to reduce the high dimensions and use the Support Vector Machine (SVM) and Random Forest (RF) as classification methods. The classification method will be compared and analyzed to determine which classification method produces the best performance by using Random Projection (RP) as a dimensional reduction method. Based on the system that has been built, the best accuracy for Colon Tumor is 69.23% with Random Projection (RP)-SVM, Lung Cancer is 100% for both methods classification, Ovarian Cancer is 100% for both methods classification, the prostate tumor is 95.12% for both methods classification and Central Nervous System is 66.66% for both methods classification.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123729522","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

Detection of Sinusoids with Frequency Drift in White Gaussian Noise 高斯白噪声中频率漂移正弦波的检测

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527437

B. Comar

引用次数: 2

Prediction of Graduation with Naïve Bayes Algorithm and Principal Component Analysis (PCA) on Time Series Data 利用Naïve贝叶斯算法和主成分分析(PCA)对时间序列数据的毕业预测

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527443

Wishnu Dwi Herlambang, K. A. Laksitowening, I. Asror

引用次数: 1