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Systematic Framework: Profiling Visual Attributes of Visually Impaired Students

Systematic Framework: Profiling Visual Attributes of Visuall...

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International Conference on Business and Industrial Research (ICBIR)

作者： Nur Aresya Ahmad Najmee Rosilah Hassan Zainora Mohammed Norliza Mohamad Fadzil Mohd Harimi Abd Rahman Nuratiqah Nadhirah Mohamad Arif Optometry and Vision Sciences Program (Centre of Rehabilitation and Special Needs Study Faculty of Health Sciences Universiti Kebangsaan Malaysia Kuala Lumpur Malaysia (Centre for Cyber Security) Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Selangor Malaysia

ISBN: (数字)9798350383027

ISBN: (纸本)9798350383034

This paper employed the System Development Life Cycle (SDLC) to create a visual attribute profile for visually impaired students. The profile, drawn from a substantial dataset, considers age, tasks, and severity of impairments. It is crucial for inclusive education in blind and special schools, aiding teachers and physicians. Demographic information, including age, gender, education, medical records, and low vision aid prescriptions, is gathered. Visual attributes are assessed through comprehensive eye examinations, calculating students' visual demands based on classroom settings. The study follows the Waterfall Model within the SDLC, encompassing stages like requirement gathering and analysis, system design and implementation. Demographic data and visual attributes are integrated into big data, generating output based on calculated demands. Feedback from most of school database users underscores the importance of information on visual characteristics for effective management of visually impaired students. Notably, 67% highlight the current database's lack of such information. Thus, this profiling initiative is a strategic move toward addressing evidence-based visual characteristics and demands, providing valuable insights for educators, optometrists, and clinical instructors to tailor management strategies.

关键词： Visualization Analytical models Systematics Education Visual impairment Medical services Big Data Visual databases System analysis and design Business

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Analysis and design of n-ram digital games for problem-based solving for early childhood geometry learning 7

Analysis and design of n-ram digital games for problem-based...

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7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019

作者： Ridwan, Taufik Hidayat, Endang Study Program of System and Information Technology Education Universitas Pendidikan Indonesia Indonesia Study Program of Elementary School Teacher Training Universitas Pendidikan Indonesia Indonesia

ISBN: (纸本)9781631902567

Development and growth in children must be stimulated properly in order to occur optimally. In the phase of growth and development, children spend most of their time playing. Generally, children have high learning abilities and curiosity. Today, children have started to become familiar with gadgets and digital games. Unfortunately most of the games that are played more suitable for adults. Not infrequently due to lack of parental supervision and lack of choice to play make children addicted to games that are not suitable for them. Actually, in this phase children need to get interesting positive stimulus to hone their intelligence. For that condition, one of many solution is the availability of games for learning media. This paper tries to analyze and design prototypes of N-Ram Digital Games for children. N-Ram digital games are games for learning geometry in children. The method used in this research is Research and Development (R&D) with a waterfall approach in Software Development. The result of the analysis and design of this prototype is N-Ram Digital Games to learn geometry through pairing and adjusting images accordingly, and building a geometric shape from several available geometric shapes. © 2020 EAI.

关键词： Software design

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Energy Preservation in MANET Using Self-Adaptive CH Selection with Advanced Genetic Algorithm 1

Energy Preservation in MANET Using Self-Adaptive CH Selectio...

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1st International Conference on Advanced Engineering and Technologies, ICONNIC 2023

作者： Indriyono, Bonifacius Vicky Pamungkas, Natalinda Abbas, Fatima Hashim Mintorini, Ery Almohamadi, Mohammed Mahmood, Sarmad Nozad Alani, Sameer Alkhayyat, Ahmed H. Rachmawanto, Eko Hari University of Dian Nuswantoro Information System Kediri Indonesia Al-Mustaqbal University College Medical Laboratories Techniques Department Hillah51001 Iraq University of Dian Nuswantoro Visual Communication Design Kediri Indonesia College of Information Technology Imam Ja'afar Al-Sadiq University Al-Muthanna66002 Iraq Computer Technology Engineering College of Engineering Technology Al-Kitab University Iraq University of Mashreq Research Center Medical Laboratories Techniques Baghdad Iraq College of Technical Engineering University of Mashreq the Islamic University Najaf Iraq University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia

ISBN: (纸本)9798350306484

Mobile Adhoc Networks (MANETs) is an emerging technology in both the industrial and academic research. The major drawback in MANETs is improving the battery capacity. MANETs are dynamic in nature therefore during communication it consumes more energy that reduces the overall energy efficiency of the network. Many past and present researches are concern about this problem. In this paper, Energy Preservation in MANETs using Self-Adaptive Cluster Head Selection with Advanced Genetic Algorithm (EPMSA-CHAG) approach is proposed where the CH selection is performed using two segments;they are initial parameter based on CH selection and Advanced Genetic Algorithm (AGA) based CH selection. At the initial stage the parameters which are considered for the CH selection are node degree, node stability, distance, residual energy, and speed and delivery rate. Using these parameters are the best fit for CH selection is chosen then in order to find the optimal best fit from the best fit calculation, Advanced Genetic Algorithm (AGA). The proposed EPMSA-CHAG approach is simulated using NS2 and the parameters which are considered for the performance analysis are packet delivery rate, energy efficiency, end to end delay, routing overhead and throughput. The methods that are taken for the comparative analysis are HLSPM-CHSR and HAMBO-CHLD. From the results calculated it is proven that the proposed EPMSA-CHAG approach achieved high packet delivery rate, energy efficiency and throughput as well as lower end to end delay and routing overhead when compared with the earlier methods HLSPM-CHSR and HAMBO-CHLD. © 2023 IEEE.

关键词： Energy efficiency

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The implementation of supply chain management in the n95 respirator product by using blockchain technology 6

The implementation of supply chain management in the n95 res...

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6th International Conference on information Management and technology, ICIMTech 2021

作者： Halim, Erwin Subagio, Michael Adrian Halim, Davine Dorothy Hebrard, Marylise Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Sepuluh Nopember Institute of Technology Chemical Engineering Department Surabaya Indonesia Institut des Usages Enterprise Law Program Study Montpellier France

ISBN: (纸本)9781665449373

As it starts at the end of the year 2019, the Covid-19 pandemic has already disturbed the condition of human life, socio-culture, and economics globally. As the virus is spreading from human to human, the need for a respirator mask is critical. One very well-known respirator mask is N95. The huge demand and high price of the N95 respirator effect create a bogus mask. This study proposes using blockchain in a global implementation of supply chain management of N95 respirator supply chain activity. Blockchain systems may help to reduce people's worldwide anxiety about the spread of N95 respirator counterfeits. The method used in this research is a systematic literature review and proposing a blockchain framework base on blockchain components. The implementation can use RFID at the level of manufacturers, distributors, and sellers. Using QR code or RFID stickers are possible in the level of customers or buyers. The result of this research is a proposal of blockchain technology for N95 respirator supply chain management systems, N95 respirator supply chain activities workflow, and a use case diagram. © 2021 IEEE.

关键词： Supply chain management

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Defect Detection of Agricultural Commodities using Image Processing and Artificial Neural Networks

Defect Detection of Agricultural Commodities using Image Pro...

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2022 International Seminar on Application for technology of information and Communication, iSemantic 2022

作者： Suprijono, Herwin Kartikadarma, Etika Yusianto, Rindra Marimin, Marimin Dian Nuswantoro University Faculty of Engineering Department of Electrical Engineering Semarang53192 Indonesia Dian Nuswantoro University Study Program of Information Technology Faculty of Computer Science Semarang53192 Indonesia Dian Nuswantoro University Faculty of Engineering Department of Industrial Engineering Semarang53192 Indonesia Faculty of Agricultural Engineering and Technology Department of Agro-Industrial Technology West Java Bogor16002 Indonesia

ISBN: (数字)9781665488396

ISBN: (纸本)9781665488396

Production losses of agricultural commodities on agricultural land due to product defects depend on the level of pest and disease attacks. Defects cause the product not to be harvested or rejected by the market. Data from the Ministry of Agriculture of the Republic of Indonesia in 2021 shows the percentage of defective products for this commodity is 5%. This study aims to detect defects in agricultural products using image processing and artificial neural networks. We used the screening threshold method with potato research samples from Dieng, Indonesia. The study results for spot defects showed that from 100 training data, there were five incorrect identification data, so the accuracy of the training process was 95%. At the same time, the hole defect accuracy is better, which is 97%. It shows that defects in agricultural commodities can be detected using this method. For further research, the development of agricultural product sorting can combine sorting techniques with this method. © 2022 IEEE.

关键词： Defects

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Smart Home Gas Sensor Optimization Using Kalman Filter for Data Processing

Smart Home Gas Sensor Optimization Using Kalman Filter for D...

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International Conference on Informatics and Computing (ICIC)

作者： Somantri Muhamad Ikhsan Thohir Alun Sujjada Deni Setiawan Ilham Komara Fikri Ardiansyah Efendi Muhamad Muslih Zubaile Bin Abdullah Mohd Zainuri Saringat Department of Software Engineering University Tun Hussein Onn Malaysia Informatics Engineering Study Program Nusa Putra University Sukabumi Indonesia Informatics Engineering Study Program Nusa Putra University Sukabumi Indonesia Department of Software Engineering University Tun Hussein Onn Malaysia Sukabumi Indonesia Department of Information System Nusa Putra University Sukabumi Indonesia Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Bahru Malaysia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

The integration of Internet of Things (IoT) technologies into modern homes has enhanced safety and comfort, particularly in detecting gas leaks, which pose serious fire hazards. Gas leaks can often be detected by smell, but this method fails when no one is present. Previous research using microcontrollers and sensors to detect gas leaks faced challenges with accuracy due to noise interference. This paper proposes the use of a Kalman filter, developed by Rudolf Emil Kalman in 1960, to improve gas leak detection accuracy by filtering out noise. The system comprises an Arduino Nano, ESP8266 WiFi module, MQ-2 gas sensor, buzzer, and ThingSpeak cloud platform. By applying the Kalman filter, noise and data oscillations are reduced, enhancing detection accuracy. Experimental results show the system effectively detects gas leaks, provides real-time data, and triggers alarms. Future improvements could include additional sensors and features to further increase the system’s reliability and functionality.

关键词： Accuracy Noise Sensor phenomena and characterization Sensor systems Real-time systems Kalman filters Internet of Things Reliability Leak detection Gas detectors

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Integration of Renewable Energy technology in Waste Recycling Utilization

Integration of Renewable Energy Technology in Waste Recyclin...

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Creative Communication and Innovative technology (ICCIT), IEEE

作者： Alwiyah Padeli Maulana Yusuf Hendra Kusumah Suwandi Accounting Study Program Wiraraja Madura University Sumenep Master of Information Technology University of Raharja Indonesia Department of Information System University of Raharja Indonesia Master of Information System University of Raharja Indonesia Department of Information Technology University of Catur Insan Cendikia Indonesia

The increase in the production of municipal solid waste around the world will be expected to continue to increase. Even though developed countries already have recycling technology to convert waste into products that can be reused, such as generating electricity, heat energy, composting fertilizers, and biofuels, there are still many challenges created by waste because in developing countries the countermeasures themselves are still so things are difficult starting from the inadequate collection, transportation, and disposal of waste. This research will solve the problem of evaluate various waste-to-energy technologies that have been developed since the invention that was able to convert recycled waste into renewable energy until now. This research can be divided into four groups. Namely starting from waste treatment thermally, biologically, biorefinery, and utilization of landfill gas. The novelty of this research for waste-to-energy technology with an integrated waste management system, it has been safely understood and tested feasible for energy renewal which can already show several examples from around the world. The method used to solve the unresolved waste problem in this scientific paper is to use WTE and ISWM-S technology which can certainly be a brilliant solution in converting urban solid waste into renewable energy for a clean world from waste to waste and also provides a future. Where people no longer need to worry about the limitations of limited natural resources to be processed into energy.

关键词： Waste management Waste materials Transportation technology transfer Developing countries Recycling Waste heat

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Cyber Security for Hoax News Detection with Similarity Algorithm

Cyber Security for Hoax News Detection with Similarity Algor...

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International Conference on Informatics and Computing (ICIC)

作者： Sy.Yuliani Yakub David Agustriawan Irmawati Dinar Ajeng Kristiyanti Shahrin Sahib Mohd Faizal Abdollah Mohammed Nasser Al-Mhiqani Yusuf Durachman The Informatic Study Program Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia Faculty of Information Communication Technology Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Cyber Security University of Huddersfield United Kingdom Department of Information System State Islamic University of Syarif Hidayatullah Jakarta Jakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Hoax news is false information disseminated to deceive or mislead audiences, often with the aim of swaying opinions or creating confusion. The rise of social media has amplified the spread of hoax news, particularly in sensitive areas such as politics and health. In response to this growing issue, this paper proposes a Natural Language Processing (NLP) approach of detecting hoax news using the Smith-Waterman similarity algorithm. By comparing news content with a curated dataset of verified hoaxes, the system calculates a similarity score to assess the likelihood of the news being false. The results of this study show that news articles analyzed using the Smith-Waterman algorithm achieve a high accuracy, with a similarity score exceeding $93 \%$ for news inputs over 100 words. Furthermore, the proposed system demonstrates an efficient processing time, completing the analysis in approximately 6.57 seconds. These findings underscore the algorithm’s potential for real-time application in detecting fake news on social media and other digital platforms. This research aims not only to enhance the technical capabilities of hoax detection systems but also to foster greater media literacy and a more informed public.

关键词： Accuracy Social networking (online) Scalability Approximation algorithms Real-time systems Natural language processing Fake news Informatics Optimization Testing

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Identification of Beef Freshness Using Linear Discriminant Analysis (LDA) Algorithm and Extraction of HSV Values

Identification of Beef Freshness Using Linear Discriminant A...

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Electronic and Electrical Engineering and Intelligent System (ICE3IS), International Conference on

作者： Riduwan Napianto Agung Tri Prastowo Agung Deni Wahyudi Wajiran Yohanes Egi Pratama Yudoutomo Arico Ayani Suparto Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandarlampung Indonesia Information Technology Education Study Program STKIP PGRI Situbondo Situbondo Indonesia

ISBN: (纸本)9781665465427

To determine the quality of beef, it is usually seen using a flashlight and matching it with a predetermined color standard. However, this method is time consuming and the results are inconsistent due to human visual limitations. This study aims to identify the freshness of beef based on its color characteristics using feature extraction method with HSV and LDA method for identification. The identification process begins with the transformation process from RGB images to L*a*b, then image segmentation serves to separate one object from another and image identification uses the LDA method with feature extraction using HSV. The use of color feature extraction with the HSV algorithm to assist in obtaining information from the colors contained in the image for easy identification. Furthermore, the LDA algorithm has a function to obtain the maximum projection to obtain a smaller dimensional space so that the desired patterns can be separated through the boundary line of a linear equation so as to form a certain class or group. Based on the test results using the confusion matrix, it produces a precision value of 80%, recall of 84%, and accuracy of 82%.

关键词： Visualization Image segmentation Image color analysis Shape Feature extraction Mathematical models Linear discriminant analysis

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Analysis of Perceptron Quantum Artificial Neural Networks to Classify the Feasibility of Prospective Debtors 1

Analysis of Perceptron Quantum Artificial Neural Networks to...

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1st International Conference on Advanced information Scientific Development, ICAISD 2020

作者： Pujiastuti, Lise Wahyudi, Mochamad Solikhun STMIK Antar Bangsa Information System Study Program Banten Indonesia Universitas Bina Sarana Informatika Faculty of Technical and Informatics Information Technology Study Program DKI Jakarta Indonesia AMIK Tunas Bangsa Pematangsiantar Informatics Management Study Program North Sumatra Indonesia

Bank is a business entity whose activities are collecting funds from the public in the form ofdeposits and channeling them to the public in the form of loans or other forms to improve the livesof many people. This study aims to classify the feasibility data of prospective borrowers with the perceptron algorithm using quantum computing to facilitate the bank in determining the prospective debtor. The results of this study are an analysis of the feasibility of prospective borrowers usingthe perceptron algorithm with quantum computing. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Neural networks

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