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2022 10th International Conference on Cyber and IT Service Management (CITSM)最新文献

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Modified Local Updates of the Ant Colony Optimization Algorithm for Image Edge Detection 一种改进的局部更新蚁群算法用于图像边缘检测
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935991
David, Edy Victor Haryanto S, Febriana
Edge detection refers to the process of extracting edge information of an image. It is considered as a basic step used in the majority of image processing applications. The aim of this study was to modify local updates of pheromones. Therefore, the convergence of the Ant Colony Optimization (ACO) algorithm applied to image edge detection could be accelerated effectively. Such the algorithm is a metaheuristic method applying the ants as agents with their pheromone updates for an effective and efficient solution of search processes. Five ACO algorithms for edge detection, i.e., ACO, modified ACO, ACO with the Sobel operator, ACO with the Prewitt operator, and ACO with the Isotropic operator were in comparison. Nearly optimal solutions of several image datasets were discovered through examination of the number of ants and iterations. Additionally, calculation results of each image dataset and algorithm were compared. The evidence shows that solutions produced by all algorithms are equally good. For an image dataset with more ants, however, it is found that the modified ACO algorithm has the best solution in terms of time convergence. The study contribution is further next to adding the concept of improving edge detection in the image with the ant colony optimization algorithm. The implementation of the study carried out is to modify local updates which are functionally used for improving the edge detection dealt with by ants taking part in ACO.
边缘检测是指提取图像边缘信息的过程。它被认为是大多数图像处理应用中使用的基本步骤。本研究的目的是修改信息素的局部更新。因此,将蚁群算法应用于图像边缘检测可以有效地加快收敛速度。该算法是一种元启发式方法,将蚂蚁作为信息素更新的代理,以有效地解决搜索过程。比较了五种边缘检测的蚁群算法,即蚁群算法、改进蚁群算法、Sobel算子的蚁群算法、Prewitt算子的蚁群算法和各向同性算子的蚁群算法。通过对蚁数和迭代次数的考察,找到了若干图像数据集的近似最优解。并对各图像数据集和算法的计算结果进行了比较。证据表明,所有算法产生的解都同样好。然而,对于蚂蚁较多的图像数据集,改进的蚁群算法在时间收敛方面具有最佳解。该研究的贡献是进一步增加了用蚁群优化算法改进图像边缘检测的概念。所进行的研究的实施是修改局部更新,这些更新在功能上用于改进参与蚁群算法的蚂蚁处理的边缘检测。
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引用次数: 0
Design and Development Integrated Sensor System for Measuring Body Temperature and Heart Rate 体温和心率测量集成传感器系统的设计与开发
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935865
A. Hartono, Rino Gabriel Alfarizi, Salsabila Tahta Hirani Putri, E. Sanjaya
Heart rate and body temperature are some of the important components of a person's main vital signs that need to be monitored regularly and periodically. The detection system technology continues to develop which allows a person to detect his own condition, to avoid exposure to COVID-19. However, the tools that are developing in the market are quite expensive and sometimes complex in operation because they are external products, so that it becomes a difficulty in itself. For this reason, it is important to design a detection device with sensor components that exist in the country and with a simple design so that it is easy to operate and inexpensive. In this paper, utilizing pulse sensors and AD8232 sensors to detect heart rate and MLX90614 sensors to measure body temperature, then NodeMCU ESP8266 to process sensor signals received and will be forwarded to the Display (LCD) to display the results carry out the design and development of an integrated sensor system. From the research results, the accuracy of the MLX90614 temperature sensor is very good with the achievement of 99.24% and the pulse sensor with the achievement of 98.86%. For the test results on each sample obtained accuracy values of 98.4% and 99% for the temperature sensor, and 92.3% and 92.2% for the pulse sensor, respectively. From these results, it is very clear that the sensor design deserves to be promoted as a quality product.
心率和体温是人体主要生命体征的重要组成部分,需要定期监测。检测系统技术不断发展,使人们能够检测自己的病情,避免接触COVID-19。然而,市场上正在开发的工具由于是外部产品,价格相当昂贵,有时操作也很复杂,这本身就成为了一个难题。因此,重要的是设计一种检测装置,使用国内现有的传感器组件,设计简单,便于操作,价格低廉。本文利用脉冲传感器和AD8232传感器检测心率,MLX90614传感器测量体温,然后利用NodeMCU ESP8266对接收到的传感器信号进行处理,并将其转发到显示器(LCD)上显示结果,进行集成传感器系统的设计与开发。从研究结果来看,MLX90614温度传感器的精度达到了99.24%,脉冲传感器的精度达到了98.86%。对于每个样品的测试结果,温度传感器的准确度分别为98.4%和99%,脉冲传感器的准确度分别为92.3%和92.2%。从这些结果来看,很明显,传感器设计值得作为优质产品进行推广。
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引用次数: 1
Implementation of Text Association Rules about Terrorism on Twitter in Indonesia 印尼Twitter上恐怖主义文本关联规则的实施
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935864
Rizal Broer Bahaweres, Diah Ayu Nugrahanti
Along with globalization's positive effects, there are many negative consequences. Cybercrime, cyber-war, and cyberterrorism have entered social media platforms like Twitter. Therefore, identifying opinion patterns in social media is an important research task to understand what types of conversations about terrorism case patterns occur. This study will add to the knowledge of terrorism concerns in Indonesian social media. Then we might be willing to seek guidance way earlier and avoid any conflict. We attempt to analyze Twitter data with the keyword “terrorism” based on the existing problems. We want to prove that using the FP-Growth algorithm can generate rules from terrorism-related tweets. The FP-Growth algorithm generates 75 association rules from Tweet data which was collected on November 20, 2021, with minimum support of 0.05 and minimum confidence of 0.9.
全球化在带来积极影响的同时,也带来了许多负面影响。网络犯罪、网络战争和网络恐怖主义已经进入了推特等社交媒体平台。因此,识别社交媒体中的意见模式是一项重要的研究任务,可以了解关于恐怖主义案例模式的对话类型。这项研究将增加对印尼社交媒体中恐怖主义问题的了解。那么我们可能愿意更早地寻求指导,避免任何冲突。基于存在的问题,我们尝试用“恐怖主义”这个关键词来分析Twitter数据。我们想证明使用FP-Growth算法可以从与恐怖主义相关的tweet中生成规则。FP-Growth算法从2021年11月20日收集的Tweet数据中生成75条关联规则,最小支持度为0.05,最小置信度为0.9。
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引用次数: 0
Webqual Method on Online Course in Suburban Area: Post-Pandemic Study 大流行后郊区网络课程的Webqual方法研究
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935925
A'ang. Subiyakto, D. Yuniarto, Aedah Abd Rahman, Muhammad Agreindra Helmiawan, M. Suryadi, D. Junaedi
Suburban areas become an object of research that attracts researchers in terms of assessing the quality of the Online Course Website. The findings at the beginning of the research regarding the poor quality of information on the Online Course make users feel confused. The purpose of this study is to establish the quality of the Online Course Website using the Webqual Method and to determine what factors affect the quality of the Online Course Website in the Suburban Area during the Post-Pandemic. The researcher reports on the results of the research, that the quality of the Online Course website in the Suburban Area using the Webqual Method is categorized as good, as shown from the results of the analysis on the Usability Quality and Service Interaction Quality variables. While the factors that affect the Quality of the Online Course Website are obtained from proving 3 hypotheses which state that everything is acceptable. The contribution of this research is that it can be used as a reference by further researchers regarding alternative problem solving in making an Online Course website with the Webqual Method. Some of the things that the researcher reports can also be used as material for the Online Course Website Developer. Of course with a different object of research will be very interesting to do.
在评估在线课程网站的质量方面,郊区成为吸引研究人员的研究对象。研究开始时关于在线课程信息质量差的发现让用户感到困惑。本研究的目的是利用Webqual方法建立在线课程网站的质量,并确定大流行后郊区影响在线课程网站质量的因素。研究人员报告了研究结果,使用Webqual方法的城郊地区在线课程网站的质量被归类为良好,从可用性质量和服务交互质量变量的分析结果可以看出。而影响在线课程网站质量的因素是通过证明3个假设得到的,这些假设表明一切都是可以接受的。本研究的贡献在于,它可以作为进一步研究人员使用Webqual方法制作在线课程网站的替代问题解决方法的参考。研究人员报告的一些内容也可以作为在线课程网站开发人员的材料。当然用不同的对象做研究也会很有趣。
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引用次数: 0
Goal-Oriented Requirements Analysis of Online Public Complaints System Using SAR, R2G, and KAOS Methods 基于SAR、R2G和KAOS方法的面向目标的网上公众投诉系统需求分析
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935902
I. Shofi, Nashrul Hakiem, Nurul Faizah Rozy, Shofan Amirudin, Nenny Anggraini, Luh Kesuma Wardhani
There are some methods to perform goal-oriented requirements analysis, i.e.: KAOS, GBRAM, i*, etc. The House of Representatives of Republic of Indonesia, as we call DPR RI, is an institution with obligations to accommodate people's aspirations and complaints. DPR RI Online Public Complaints System (PCS) is one of the media that can be used by the public to provide complaints to the DPR RI. Through interviews with experts, the current DPR RI Online PCS (system-as-is) still needs to be developed, so it needs to be performed in-depth requirements analysis of the system. The analysis was performed using the GORE (Goal-Oriented Requirements Engineering), by combining SAR (Select Appropriate Regulations), R2G (Regulations to Goal Model), and KAOS (Keep All Objectives Satisfied) methods. The results of the requirements analysis that have been carried out show that the SAR, R2G, and KAOS methods are proven to bend suitable to analyze the requirements of the DPR RI Online PCS. Furthermore, the analysis shows that system-as-is can only realize 13 system requirements or equal to 81.25% of the total 16 actual system requirements (system-to-be), so there is a gap between system-as-is and system-to-be of 3 system requirements or 18.75%.
进行面向目标的需求分析有一些方法,如:KAOS、GBRAM、i*等。印度尼西亚共和国众议院,我们称之为DPR RI,是一个有义务照顾人民愿望和抱怨的机构。网上公众投诉系统(简称PCS)是公众可以向民防协会投诉的媒体之一。通过对专家的访谈,目前的DPR RI Online PCS (system as-is)还有待开发,因此需要对系统进行深入的需求分析。分析使用GORE(目标导向需求工程),通过结合SAR(选择适当的法规)、R2G(法规到目标模型)和KAOS(保持所有目标满足)方法来执行。需求分析的结果表明,SAR、R2G和KAOS方法适用于DPR RI在线pc的需求分析。此外,分析表明,现有系统只能实现13个系统需求,即相当于16个实际系统需求(未来系统)的81.25%,因此,现有系统与未来系统之间存在3个系统需求,即18.75%的差距。
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引用次数: 0
Critical Success Factor in E-Learning: A conceptual framework for determining the success factors 电子学习中的关键成功因素:确定成功因素的概念框架
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935978
H. Nanang, A. F. Misman, Z. Zulkifli, Yusuf Durachman, H. Sukmana, Victor Amrizal
This successful implementation of the e-learning system is one of the most important things, including user acceptance of the system. The critical factors that lead to the successful implementation of the e-learning system are the objectives of this research. By using the success and benefits approach to get consensus from expert respondents about the most critical factors that will contribute to the success of e-learning in Higher Education (HEs) in Indonesia. We then use these results to create a framework that adopts and adapts the previous theories highlighting 5 important factors including website quality, technology options, top management support, and awareness of e-learning by academics. The results of this research will help developers, and decision-makers to better understand the importance of successful e-learning system development.
这个电子学习系统的成功实施是最重要的事情之一,包括用户对系统的接受程度。导致电子学习系统成功实施的关键因素是本研究的目标。通过使用成功和收益方法,从专家受访者中获得关于将有助于印度尼西亚高等教育电子学习成功的最关键因素的共识。然后,我们利用这些结果创建了一个框架,该框架采用并适应了先前的理论,突出了5个重要因素,包括网站质量、技术选择、高层管理支持和学术界对电子学习的认识。本研究的结果将有助于开发人员和决策者更好地理解成功的电子学习系统开发的重要性。
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引用次数: 0
Recent Deep Learning Based NLP Techniques for Chatbot Development: An Exhaustive Survey 最近基于深度学习的聊天机器人开发NLP技术:详尽的调查
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935858
Bhupesh Rawat, A. Bist, U. Rahardja, Q. Aini, Yulia Putri Ayu Sanjaya
Chatbots are becoming popular as many applications need it. E-commerce, aviation, supply chain management companies etc. are using AI based chatbots to attract customers. Deep learning is another vertical impacting chatbots' behavior by bringing it close to human physiology. Ways of interaction directly enhance the business productivity that is the main reason for the rise of chatbots. Chatbots are evolving with the use of emerging techniques. In this paper we are making a detailed study of recent deep learning techniques for chatbots. It will bring understanding of developers closer towards good chatbot design. We will cover current gaps and solutions to catalyze current research.
聊天机器人正变得越来越流行,因为许多应用程序都需要它。电子商务、航空、供应链管理等公司都在使用基于人工智能的聊天机器人来吸引客户。深度学习是另一个垂直影响聊天机器人的行为,使其接近人类生理学。交互方式直接提高了业务生产力,这是聊天机器人兴起的主要原因。随着新兴技术的使用,聊天机器人正在不断发展。在本文中,我们详细研究了最近用于聊天机器人的深度学习技术。它将使开发人员更容易理解好的聊天机器人设计。我们将涵盖当前的差距和解决方案,以促进当前的研究。
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引用次数: 9
Creating Prototype using Design Sprint for Da'wa Mobile Application 使用Design Sprint为Da'wa移动应用程序创建原型
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935910
Fenty Eka Muzayyana Agustin, Khair Fadhillah, Marshya Amirah Kamal, Muhamad Zulfan Taqiyudin Baehaki, Muhamad Fadlie Putra Pratama, Zahra Nabila Falenanda
Mobile apps support many daily activities among young users, especially for activities that support their lifestyle, education, and entertainment. This study aims to contribute to the use of mobile apps to present Islamic religious content to young adult users. The Design Sprint method was chosen because it supports fast and adaptive design development. The interaction design testing used ten principles of usability Heuristic Evaluation by Jakob Nielsen. Usability testing is conducted by distributing questionnaires and in-depth interviews with users. The usability testing index was in the range of 80-100%. Therefore, it can be explained that the use of Design Sprints had a high usability value.
移动应用支持年轻用户的许多日常活动,特别是支持他们的生活方式、教育和娱乐的活动。本研究旨在促进使用移动应用程序向年轻成年用户呈现伊斯兰宗教内容。选择设计冲刺方法是因为它支持快速和自适应的设计开发。交互设计测试使用了Jakob Nielsen提出的可用性启发式评估的十条原则。可用性测试是通过分发问卷和对用户进行深度访谈来进行的。可用性测试指数在80-100%之间。因此,可以解释使用Design sprint具有很高的可用性价值。
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引用次数: 0
Blockchain, Information and Speculation Calculations in Indonesia: Recent Work 印度尼西亚的区块链、信息和投机计算:最近的工作
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935848
Po Abas Suraya, Tarisya Ramadhan, Ninda Lutfiani, Alifah Khoirunisa, U. Rahardja
Connecting cities further into nearby supply chains worldwide is the basis of Indonesia's provincial finance progress. We analyze Indonesia's budget considerations, allocations, and Blockchain investigations. We argue that we must address the four issues of topographic access, high costs, lack of managing account items, and no education related to money to address budget embezzlement. We propose investigating selection initiation, appropriation design, and outcomes to develop this understanding. The usage of blockchain in the financial sector truly extends beyond simple cryptocurrency exchanges. The usage of blockchain in the financial sector is very broad, the Chief Executive Director of the Payment System Policy Department of Bank Indonesia (BI), who was quoted by daily social. The answers to these devotional questions will offer help to help us keep our distance better, much better, and higher Novelty of this research by improving the performance of how Blockchain-based progress is accepted in the provinces of Indonesia. This hypothetical commitment is evidence of differentiating information that must be maintained so the Indonesian people can realize monetary considerations. With these criteria, the SWOT analysis is the correct method. SWOT analysis is a research method that identifies various factors systematically to formulate corporate strategy.
将城市进一步连接到全球附近的供应链是印尼省级金融发展的基础。我们分析了印度尼西亚的预算考虑、分配和区块链调查。我们认为,要解决预算挪用问题,必须解决地形准入、成本高、缺乏管理账户项目、没有与钱相关的教育四个问题。我们建议调查选择、拨款设计和结果来发展这种理解。区块链在金融领域的使用确实超越了简单的加密货币交易。“区块链在金融领域的使用非常广泛,”印尼银行(BI)支付系统政策部首席执行董事对每日社会表示。这些虔诚问题的答案将有助于帮助我们通过提高印度尼西亚各省如何接受基于区块链的进展的表现,更好地、更好地、更高地保持这项研究的新颖性。这一假设的承诺证明,必须保持有区别的信息,以便印度尼西亚人民能够实现货币方面的考虑。有了这些标准,SWOT分析是正确的方法。SWOT分析法是通过系统地识别各种因素来制定企业战略的一种研究方法。
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引用次数: 2
Systematic Literature Review: Detecting Cataract With Deep Learning 系统文献综述:深度学习检测白内障
Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935932
S. Masruroh, Daffa Aditya Rahman, Rizka Amalia Putri
A cataract is an eye disease that can lead to blindness if left untreated. Many studies have proposed a system for detecting cataracts to reduce the risk of early blindness. To find out what method is used to create a cataract detection system, it is necessary to make a Systematic Literature Review (SLR) on studies that discuss deep learning-based cataract detection. Of each method proposed, the approach to modeling from scratch using the CNN algorithm is the majority of the methods used. In addition, other methods used include Transfer Learning, Fine Tuning Transfer Learning, Final Classifier, and pre-trained models are also the methods used. Each method has its advantages and disadvantages. From the results obtained, the use of a method and its combination must pay attention to many factors such as whether the method used and its combination is by the objectives and problems to be solved, understanding the limitations that can affect the performance of the model must be the concern of researchers to produce an accurate model.
白内障是一种眼部疾病,如果不及时治疗,可能会导致失明。许多研究提出了一种检测白内障的系统,以减少早期失明的风险。为了找出使用什么方法来创建白内障检测系统,有必要对讨论基于深度学习的白内障检测的研究进行系统文献综述(SLR)。在提出的每种方法中,使用CNN算法从头开始建模的方法是使用的大多数方法。此外,使用的其他方法包括迁移学习,微调迁移学习,最终分类器和预训练模型也是使用的方法。每种方法都有其优点和缺点。从所获得的结果来看,使用一种方法及其组合必须注意许多因素,例如所使用的方法及其组合是否符合所要解决的目标和问题,了解可能影响模型性能的局限性必须是研究人员所关注的,才能产生准确的模型。
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引用次数: 0
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2022 10th International Conference on Cyber and IT Service Management (CITSM)
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