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arXiv 2024年

作者： Qin, Zezheng Sun, Congcong He, Taiyi He, Yuke Abdullah, Azizol Samian, Normalia Roslan, Nuur Alifah Faculty of Computer Science and Information Technology Universiti Putra Malaysia UPM Serdang Selangor43400 Malaysia Department of Communication Technology and Network Faculty of Computer Science and Information Technology Universiti Putra Malaysia UPM Serdang Selangor43400 Malaysia Research Institute of Social Development Southwestern University of Finance and Economics China Multimedia Department Faculty of Computer Science and Information Technology Universiti Putra Malaysia UPM Serdang Selangor43400 Malaysia

In the context of widespread global information sharing, information security and privacy protection have become focal points. Steganographic systems enhance information security by embedding confidential information into public carriers;however, existing generative text steganography methods face challenges in handling the long-tail distribution of candidate word pools, which impacts the imperceptibility of steganographic information. This paper proposes a quality control theory for steganographic text generation based on information entropy constraints, exploring the relationship between the imperceptibility of steganographic texts and information entropy. By controlling the information entropy of the candidate word pool within a specific range, we optimize the imperceptibility of the steganographic text. We establish upper and lower bounds for information entropy and introduce an adaptive truncation method to balance semantic coherence and lexical diversity. Experimental results demonstrate that reasonably controlling the candidate pool size and information entropy thresholds significantly enhances the quality and detection resistance of steganographic texts, showcasing broad application potential in the field of natural language processing. Copyright © 2024, The Authors. All rights reserved.

关键词： Semantics

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Manufacturing A Low-Cost Telegram and Optical Character Recognition-Based Indoor Air Quality Monitoring Data Logger 8

Manufacturing A Low-Cost Telegram and Optical Character Reco...

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8th International Conference on information Management and Technology, ICIMTech 2023

作者： Pramono, Andi Budiman, Satrio Arif Farchan, Muchammad Mappaturi, Andi Baso School of Design Bina Nusantara University Interior Design Department Jakarta11480 Indonesia Brawijaya University Information System Computer Science Faculty Malang65145 Indonesia Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Department of Electrical Engineering Surabaya60111 Indonesia Islamic State University of Maulana Malik Ibrahim Faculty of Science and Technology Architecture Department Malang Indonesia

ISBN: (纸本)9798350326093

Urban air is frequently contaminated with CO, CO2, VOC, HCHO, PM 2.5, and PM 10. Rural regions are at a lower risk than those near roads and industrial areas that produce emissions. Air pollutants negatively affect its inhabitants' health, particularly the respiratory system. Most people will spend more time indoors, requiring a method for monitoring indoor air quality (IAQ). Urban communities need IAQ monitoring instruments as an early warning system for their health. This research seeks to produce inexpensive IAQ that can be utilized by all levels of society, particularly urban communities. This research utilizes a qualitative, design-thinking-based methodology. The research diverged from Empatize, which asserts that urban communities require a method for determining the local air quality. Moreover, it is determined at the define stage that IAQ monitoring, which includes a data log feature, is still comparatively expensive, so a solution is developed at the ideate stage. Creating a prototype is the next step in realizing the specified solution. In this investigation, they decided to use IAQ monitoring, which is relatively inexpensive but lacks log data storage. The author uses the ESP32-cam microcontroller to capture the screen display device, and the resulting image is sent to a telegram and processed with optical character recognition (OCR) to generate a data log. The results of prototype testing are utilized for prototype development. © 2023 IEEE.

关键词： Industrial emissions

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information Technology Challenges for Integrated Governance, Risk and Compliance (GRC) 1

Information Technology Challenges for Integrated Governance,...

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1st International Conference on Smart Technology, Applied Informatics, and Engineering, APICS 2022

作者： Mahendra, Irfan Meyliana Prabowo, Harjanto Hidayanto, Achmad Nizar Bina Nusantara University Computer Science Program Jakarta11480 Indonesia Nusa Mandiri University Technology Information Faculty Jakarta11450 Indonesia Bina Nusantara University Information System Department Jakarta11480 Indonesia Bina Nusantara University Management Departement Jakarta11480 Indonesia Universitas Indonesia Faculty of Computer Science Depok16424 Indonesia

ISBN: (数字)9781665489850

ISBN: (纸本)9781665489850

Integrated GRC is an area of concern for organizations today. Integrated GRC provides benefits for increasing competitiveness and organizational excellence, realizing effectiveness, efficiency, and optimization, as well as supporting the prevention of corruption and fraud. information technology has a very important role in determining the success of implementing an integrated GRC in the organization. However, based on the research conducted, adequate research on the application of information technology in the implementation of integrated GRC is still lacking. In this paper, a study will be conducted on trends and research gaps related to the application of information technology in the current integrated GRC implementation. The conclusion of this study states that there is a great opportunity for wider research on the opportunities and challenges of implementing the latest information technology such as blockchain, artificial intelligence, big data, and cloud computing to support the effectiveness and success of integrated GRC implementation. © 2022 IEEE.

关键词： Crime

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Possibility of Profit Gain in Futures Cryptocurrency Trading Plans Using a Patterned Dataset Model under Moon Conditions

Possibility of Profit Gain in Futures Cryptocurrency Trading...

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information Technology International Seminar (ITIS)

作者： Rizky Parlika R. Rizal Isnanto Basuki Rahmat Doctoral Programe of Information Systems Universitas Diponegoro Semarang Indonesia Department of Information System Faculty of Computer Science University of Pembangunan Nasional "Veteran" Jawa Timur Surabaya Indonesia

ISBN: (数字)9798331521295

ISBN: (纸本)9798331521301

Among the various components of cryptocurrency trading are futures (2-way trading based on short or long contracts) and spot schemes (which operate in the same direction as buying and selling crypto assets). The futures scheme transaction was selected for this study's test since it frequently results in trades with comparatively larger swings than spot scheme deals. If these variations are not correctly anticipated, they may result in losses. Real-time position reading for cryptocurrency trading is made possible by the Patterned Dataset Model. Based on observations of the pattern of influence that Bitcoin price changes have on a variety of other cryptocurrency asset values in a trading market, this model was developed. Three types of data are generated by this model, and they are mined nonstop every few seconds. The entire conditions (a mix of moon and crash conditions), price increase conditions (moon), and price fall conditions (crash) make up the patterned dataset. In this study, the topic of discussion is patterned datasets in rising price (moon) environments. It is possible to demonstrate the possibility of reasonably consistent gains from short contract purchase positions using the Patterned Dataset in Moon Conditions.

关键词： Seminars Technological innovation Moon Bitcoin Machine learning Diamond computer crashes Real-time systems Contracts Investment

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QiMINT: Quantum-Inspired Mobile Intelligence - Advancing Complex Signal Processing with Machine Learning

QiMINT: Quantum-Inspired Mobile Intelligence - Advancing Com...

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International Conference on Trends in Electronics and Informatics (ICEI)

作者： Vinothkumar Kolluru E. Helen Parimala Kokilavani T Sunil Raj Y Bastin Jesuraj Afrig Aminuddin Department of Data Science Stevens Institute of Technology NJ USA Department of Computer Science Gitam Deemed to be University Bangalore India Department of Computer Science School of Sciences Christ (Deemed) University Bangalore India Department of Data Science St. Xavier's College (Autonomous) Palayamkottai India Department of Computer Science Mother Theresa Arts and Science College Theni Tamilnadu India Department of Information System Faculty of Computer Science Universitas Amikom Yogyakarta Sleman Indonesia

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

Integrating mobile intelligence with quantum-inspired machine learning (QiML) opens space for challenging mobile signal processing tasks. By utilizing superposition and entanglement, quantum computing principles, QiML boosts the agility of mobile devices by allowing real-time data processing, pattern recognition, and decision making. This work introduces Quantum-Inspired Mobile Intelligence (QiMINT) a new mobile computing framework that integrates quantum-inspired designs with classical machine learning, which increases mobile devices' accuracy, latency, and energy efficiency. Results show that medical QiML based models exceeded traditional machine learning methods in most key performance indicators. The quantum convolutional neural network (QCNN) achieved an accuracy of 92.3% in contrast with the CNNs' 87.5%, but with a processing time of 80 ms as to 120 ms, energy consumption of 10 mJ in comparison to the CNNs' 15mJ. Also, quantum-inspired random forests lowered processing delay by 40%, sustaining superior accuracy than the classical-base system. These results demonstrate that QiML can effectively balance computation complexity while making it suitable for edge computing, IoT, and mobile intelligence systems.

关键词： Quantum computing Accuracy Decision making Machine learning Signal processing Real-time systems Mobile handsets Pattern recognition Optimization Edge computing

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Natural Language Processing Studies in Humancomputer Interaction: A Bibliometric Analysis and Future Research Framework

Natural Language Processing Studies in HumanComputer Interac...

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Student Conference on Research and Development (SCOReD)

作者： Farah Syazwani Binti Mohd Rashid Amirrudin Bin Kamsin Nurul Fazmidar Binti Mohd Noor Department of Computer System Technology Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Shah Alam Selangor Malaysia

ISBN: (数字)9798331510077

ISBN: (纸本)9798331510084

This study conducts a bibliometric analysis of Natural Language Processing (NLP) within Human-computer Interaction (HCI) to identify trends, challenges, and future directions. Analyzing 1,710 SCOPUS-indexed documents (1983-2024) using a PRISMA flowchart, the results show that the United States and China are leading contributors. Key developments include emotion recognition, chatbot interfaces, and speech processing, highlighting NLP’s role in user-centered technologies. Despite growing applications, challenges such as reliability and ethical concerns persist. This analysis emphasizes the need for ethical frameworks and technological advancements to address deployment issues and align NLP innovations with the United Nations Sustainable Development Goals (SDGs). By mapping global research trends, this study provides insights into the transformative potential of NLP in HCI for developing inclusive and responsive systems.

关键词： Ethics Technological innovation Flowcharts Emotion recognition Bibliometrics Market research Reliability Sustainable development Speech processing Research and development

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Feature Selection Technique Model for Forest and Land Fire Data Sentiment Analysis: Comparison of SSA, PSO, and ALO

Feature Selection Technique Model for Forest and Land Fire D...

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Conference on New Media Studies (CoNMedia)

作者： Dinar Ajeng Kristiyanti Imas Sukaesih Sitanggang Annisa Sri Nurdiati Department of Computer Science IPB University Bogor Indonesia Department of Information System Universitas Multimedia Nusantara Tangerang Indonesia Department of Mathematics IPB University Bogor Indonesia

The forest and land fires in Indonesia caused a trending topic on social media, namely Twitter, especially in 2019 with 316,782 tweets. Mining it with a sentiment analysis approach will yield valuable knowledge. Mining data from Twitter that contain huge quantities cannot be handled with a sentiment analysis approach using conventional machine learning, where the data are very rich in features. This research aims to select the most relevant and informative features using the feature selection technique (FST), which adopts a Swarm Intelligence-based algorithm to produce accurate and fast model performance in processing time. This study involves several phases, including data collection, feature selection, labeling, data splitting, text pre-processing, modeling, and performance assessment. Salp Swarm Algorithm (SSA), Particle Swarm Optimization (PSO), and Ant Lion Optimization (ALO) will be compared in this research as feature selection technique optimization using classification algorithms such as K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Naive Bayes (NB). Research results based on algorithm performance evaluation show that the KNN Algorithm using the PSO algorithm is the algorithm that performs best, with an accuracy of 90.17% and the fastest processing time, namely 0.038 seconds. KNN Algorithm using the SSA algorithm is also no less superior, achieving accuracy reaching 90.02% with a processing time of 0.039 seconds.

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Prediction of the Impact of Covid-19 Vaccine on Public Health Using Twitter

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2022年第1期49卷 19-29页

作者： Syed, Ayesha Ayub Gaol, Ford Lumban Suparta, Wayan Abdurachman, Edi Trisetyarso, Agung Matsuo, Tukoro Ph.D. student at the Department of Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Associate Professor at Informatics Engineering and Information System at Bina Nusantara University Jakarta Indonesia Malaysia Associate Professor at the Department of Doctor of Research in Management at Bina Nusantara University Jakarta Indonesia Assistant Professor at the Department of Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Professor at the Graduate School of Industrial Technology Advanced Institute of Industrial Technology Japan and Department of M-Commerce and Multimedia Applications Asia University Taiwan

Social media is a source of big data. Media like Twitter and Facebook has been used for collecting and analyzing user data for different purposes. The data can be used to analyze people opinions towards certain topics and incidents by applying sentiment analysis and then certain useful insights can be drawn from the analyzed data. During the current time of Covid-19, people have been sharing information regarding Covid-19 statistics, vaccines, and discussing the effects of the vaccine concerning public health. The purpose of this study is to analyze tweet data regarding the Covid-19 vaccine by applying sentiment analysis and predicting the impact of the vaccine on public health. Also, the tweets are analyzed for hidden topics by applying Topic Modelling using Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA). The source of data for this study is Twitter API. The coding and data analysis is done using Python programming language in the Spyder (Scientific Python Development Environment) that is an integrated development environment for scientific programming, testing, and data analysis. The results of the study indicate a greater positive sentiment reflecting a healthy public discussion about the Covid-19 vaccine, information, awareness, and public acceptance. With these results, a positive impact of the Covid-19 vaccine on public health is predicted. The results of topic modeling discovered 10 hidden topics from the tweet dataset. © 2022. All Rights Reserved.

关键词： Vaccines

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Metaheuristics Algorithm for Tuning of PID Controller of Mobile Robot system

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computers, Materials & Continua 2022年第8期72卷 3481-3492页

作者： Harsh Goud Prakash Chandra Sharma Kashif Nisar Muhammad Reazul Haque Ag.Asri Ag.Ibrahim Narendra Singh Yadav Pankaj Swarnkar Manoj Gupta Laxmi Chand Indian Institute of Information Technology NagpurIndia School of Computing&Information Technology Manipal UniversityJaipurRajasthanIndia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Maulana Azad National Institute of Technology BhopalIndia Department of Electronics and Communication Engineering JECRC UniversityJaipurRajasthanIndia Department of Computer Science and Engineering Hanyang UniversitySeongdong-guSeoul04763Korea

Robots in the medical industry are becoming more common in daily life because of various advantages such as quick response,less human interference,high dependability,improved hygiene,and reduced aging *** is why,in recent years,robotic aid has emerged as a blossoming solution to many challenges in the medical *** this manuscript,meta-heuristics(MH)algorithms,specifically the Firefly Algorithm(FF)and Genetic Algorithm(GA),are applied to tune PID controller constraints such as Proportional gain Kp Integral gain Ki and Derivative gain *** controller is used to control Mobile Robot system(MRS)at the required set *** FF arrangements are made based on various pre-analysis.A detailed simulation study indicates that the proposed PID controller tuned with Firefly Algorithm(FF-PID)for MRSis beneficial and suitable to achieve desired closed-loop system *** FF is touted as providing an easy,reliable,and efficient tuning technique for PID *** most suitable ideal performance is accomplished with FF-PID,according to the display in the time ***,the observed response is compared to those received by applying GA and conventional off-line tuning *** comparison of all tuning methods exhibits supremacy of FF-PID tuning of the given nonlinear Mobile Robot system than GA-PID tuning and conventional controller.

关键词： Metaheuristic algorithm genetic algorithm PID controller mobile robot system firefly algorithm

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Acceptance of Virtual Campus Tour Using the TAM Approach: a Case Study in UPN Veteran Jawa Timur, Indonesia 7

Acceptance of Virtual Campus Tour Using the TAM Approach: a ...

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7th IEEE information Technology International Seminar, ITIS 2021

作者： Mardhi Suryanto, Tri Lathif Dian Ningtias, Efri Kusuma Safitri, Eristya Maya Wibowo, Nur Cahyo Faroqi, Asif Pratama, Arista University of Pembangunan Nasional 'Veteran' Jawa Timur Faculty of Computer Science Department of Information System Surabaya Indonesia

ISBN: (纸本)9781665408073

Various policies regarding the application of information and communication technology are one form of effort to realize efficient and effective information delivery, one of the institutions or agencies that implement information and communication technology policies is an educational institution. When technology is developing, especially communication technology along with the presence of the COVID-19 Pandemic. In this regard, to provide the best information is also felt by the National Development University 'Veteran' East Java in introducing the situation and condition of the campus by implementing a Virtual Campus Tour. The purpose of this study was to determine the factors that influence the acceptance of the virtual tour of UPN 'Veteran' Jawa Timur based on the Technology Acceptance Model (TAM) model. This study uses proportionate stratified random sampling with a total of 266 respondents who are active students at UPN 'Veteran' Jawa Timur. Based on the results of the analysis, it was found that the factors that influence user behavior in using the virtual tour of UPN 'Veteran' Jawa Timur on an ongoing basis are factors of perceived usefulness, perceived ease of use, attitude toward using, and usability with significant results on the intention to use the UPN 'Veteran' Jawa Timur virtual tour. While the factor that most influences the behavior of users to accept Virtual Tour of UPN 'Veteran' Jawa Timur is the usability factor, this is because usability has the largest path coefficient value, which is 0.714 compared to other variables. © 2021 IEEE.

关键词： COVID-19

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