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International Seminar on Research of information Technology and Intelligent systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US Department of Transportation Cameras Tires Internet Data mining

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The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth

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Environmental science and Ecotechnology 2025年第1期23卷 1-18页

作者： Jicheng Gong Zhicong Yin Yu Lei Xi Lu Qiang Zhang Cilan Cai Qimin Chai Huopo Chen Renjie Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Zhanfeng Dong Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Yongsheng Lin Jun Liu Jinghui Ma Yue Qin Weiqi Tang Dan Tong Jiaxing Wang Lijuan Wang Qian Wang Xuhui Wang Xuying Wang Libo Wu Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Li Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Zengkai Zhang Hongyan Zhao Bo Zheng Yixuan Zheng Tong Zhu Huijun Wang Jinnan Wang Kebin He State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Eco-Environmental Management and Policy Chinese Academy of Environmental PlanningBeijing100041China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Contr

The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms,targets,strategies,and governance *** report,based on a monitoring indicator system for coordinated governance of air pollution and climate change,employs an interdisciplinary approach combining natural and social *** establishes 20 indicators across five key areas:air pollution and climate change,governance systems and practices,structural transformation and technologies,atmospheric components and emission reduction pathways,and health impacts and *** report tries to provide actionable insights into the interconnectedness of air pollution and climate *** highlights key policy gaps,presents updated indicators,and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air *** to previous editions,this year's report has updated four key indicators:meteorological impacts on air quality,climate change and its effects,governance policies,and low-carbon building energy *** aim is to further refine the monitoring framework,track progress,and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean *** report comprises six *** executive summary chapter is followed by analyzing air pollution and climate change *** systems and practices are discussed in the third chapter,focusing on policy implementation and local *** fourth chapter addresses structural transformations and emission reduction technologies,including energy and industrial shifts,transportation,low-carbon buildings,carbon capture and storage,and power *** fifth chapter outlines atmospheric component dynamics and emission pathways,presenting insights into emission drivers and future *** sixth chapter assesses he

关键词： Synergetic roadmap Carbon neutrality Clean air

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Real-time personal healthcare data analysis using edge computing for multimodal wearable sensors

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Device 2025年第2期3卷

作者： Matsumura, Guren Honda, Satoko Kikuchi, Takamasa Mizuno, Yuuki Hara, Hyuga Kondo, Yoshiki Nakamura, Haruki Watanabe, Shin Hayakawa, Kiyoshi Nakajima, Kohei Takei, Kuniharu Department of Physics and Electronics Osaka Metropolitan University Osaka Sakai 599-8531 Japan Industrial Systems Engineering of Intelligent Informatics Course Osaka Metropolitan University College of Technology Osaka Neyagawa 572-8572 Japan Graduate School of Information Science and Technology Hokkaido University Hokkaido Sapporo 060-0814 Japan Department of Emergency and Disaster Medicine Juntendo University Tokyo 113-8656 Japan Graduate School of Information Science and Technology University of Tokyo Tokyo 113-8656 Japan

Wireless, multimodal, wearable sensor patches can perform remote diagnosis and monitoring. By integrating multiple sensors, multimodal, wearable patches generate large datasets. Complex data correlation and analyses of large datasets for real-time, automatic edge-type systems are challenging. Here, we present an integrated wearable sensor patch with edge computing for remote healthcare applications powered by reservoir computing. This sensor patch system is integrated with flexible sensors for electrocardiography, respiration, skin temperature, and skin humidity. Vital and activity data can be applied to monitor coughing, arrhythmias, and posture using a machine learning algorithm. Importantly, all measurements, wireless data transmission, and real-time data analyses are processed in a smartphone as an edge-computing system, which allows quick, real-time feedback to users without using a cloud network system. © 2024 The Author(s)

关键词： DTI-4: Validate echo state network edge computing flexible sensors healthcare multimodal sensor patch remote monitoring reservoir computing wearable sensors

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Machine Learning Analysis for Temperature Classification using Bioelectric Potential of Plant

Machine Learning Analysis for Temperature Classification usi...

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International Conference on information Technology, information systems and Electrical engineering (ICITISEE)

作者： Imam Tahyudin Hasri Akbar Awal Rozaq Hidetaka Nambo Department of Information System Faculty of Computer Science Amikom Purwokerto University Banyumas Indonesia Faculty of Computer Science Graduate School of Informatics Gazi University Yenimahalle Ankara Turkey Division of Electrical Engineering and Computer Science Graduate School of NST Kanazawa University Kakumamachi Kanazawa Ishikawa Japan

Plants can respond to changes in their surroundings, such as temperature, humidity, and human behavior. This ability is due to photosynthesis and respiration in plants, resulting in low electrical signals. We focus on room temperature change by plant bioelectric potential detection. The temperature topic is interesting for the actual research because it is one of important factor in health aspect. This study aims to analysis of temperature of Bioelectric potential of plant using machine learning. This implementation identifies the plants' bioelectric potential in distinguishing three-room temperature categories: A, B, and C temperature. We conducted the experimental in room control. For the transformation process is using wavelet transform. Furthermore, the analysis process, we used the Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighborhood (K-NN), Naïve Bayes, and linear regression. Then, for the evaluation is using confusion Matrix. The result showed that the best level of transformation using Wavelet is 7 th level for reducing the noise. Furthermore, the best accuracy of analysis process is using Decision tree which obtained 75%.

关键词： Wavelet transforms Support vector machines Radio frequency Temperature Linear regression Bioelectric phenomena Decision trees

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The FMEDA Based DC Calculation for Railway Safety Computer

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Chinese Journal of Electronics 2020年第2期29卷 391-396页

作者： WANG Juhan GAO Ying CAO Yuan TANG Tao ZHOU Mingjun School of Electronics and Information Engineering Beijing Jiaotong University Graduate Department China Academy of Railway Science National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Railway Electrification Transformation Project Construction Headquarters China Railway Harbin Bureau Group Co. Ltd.

This paper presents a new algorithm to compute the Diagnostic coverage(DC) for railway safety computer using the Failure modes effects and diagnostic analysis(FMEDA) theory. The importance to work out the DC accurately is stressed. A certain type of railway safety computer’s output element is taken as an example to show how the DC is worked out using the FMEDA method. The probability of dangerous failures per hour(PFH) of one certain safety computer is obtained considering the *** final results show that the DC is 99.6% and the PFH of the safety is 1.165 fit, which means 1.165 dangerous failures may occur during 1 billion hours’ working time,running up to the requirement of the Safety integrity level4(SIL4). This paper provides an example to come up with the DC for safety computer, thus making the PFH calculation more accurate and so is the Safety integrity level.

关键词： Diagnostic coverage Dangerous failures per hour Safety computer Safety integrity level

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Petri net modeling for Ising model formulation in quantum annealing

arXiv

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arXiv 2021年

作者： Nakamura, Morikazu Kaneshima, Kohei Yoshida, Takeo Computer Science and Intelligent Systems Faculty of Engineering University of the Ryukyus Okinawa903-0213 Japan Information Engineering Course Graduate School of Engineering and Science University of the Ryukyus Okinawa903-0213 Japan

Quantum annealing is an emerging new platform for combinatorial optimization, requiring an Ising model formulation for optimization problems. The formulation can be an essential obstacle to the permeation of this innovation into broad areas of everyday life. Our research is aimed at the proposal of a Petri net modeling approach for an Ising model formulation. Although the proposed method requires users to model their optimization problems with Petri nets, this process can be carried out in a relatively straightforward manner if we know the target problem and the simple Petri net modeling rules. With our method, the constraints and objective functions in the target optimization problems are represented as fundamental characteristics of Petri net models, extracted systematically from Petri net models, and then converted into binary quadratic nets, equivalent to Ising models. The proposed method can drastically reduce the difficulty of the Ising model formulation. Copyright © 2021, The Authors. All rights reserved.

关键词： Ising model

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Contribution of Virtual Reality Technology to Increase Student Interest in Vocational High schools

Contribution of Virtual Reality Technology to Increase Stude...

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2021 International Seminar on Intelligent Technology and Its Application, ISITIA 2021

作者： Maulana, Fairuz Iqbal Pangestu, Gusti Sano, Albert Verasius Dian Purnomo, Agung Rahmadika, Sandi Widartha, Vandha Pradwiyasma Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Binus Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia Graduate School Pknu Pukyong National University Interdisciplinary Program of Information Security Busan Korea Republic of Telkom University Information System of Industrial Engineering Faculty Bandung Indonesia

ISBN: (纸本)9781665428477

This research investigates the feasibility of school-based learning using Virtual Reality technology in Electric Power Generation learning during the COVID-19 pandemic. This research employs a qualitative approach. Vocational High school Nurul Jadid Paiton Probolinggo is the site of this study. Data was gathered through observation, literature review, and interviews. In the Electrical engineering section, interviews were conducted with a teaching instructor. Triangulation was used to investigate the data's authenticity, in addition to further interviews with the curriculum staff and instructors at the school. The teacher's assessment of learning media using Virtual Reality application technology shows valid criteria with an average value of 3.6. In comparison, after using the Virtual Reality application learning media, the assessment of students obtained an average value of 3.77 compared to conventional assessments with an interval of 2.71. The use of Virtual Reality technology has proven that it can help and facilitate student learning. The use of technologies of Virtual Reality as a means of learning in classrooms will also be an alternate option for virtual laboratories during the COVID-19 pandemic. © 2021 IEEE.

关键词： Virtual reality

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Exploration of an efficient method for removing antibiotics from water and digested sewage sludge using Fe(VI): Kinetics and P phytoavailability and compostability in treated sludge

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Chemosphere 2023年第1期336卷 139165页

作者： Limmun, Warunee Ishikawa, Nao Maeda, Takeki Umeda, Takayuki Song, Jie Sasamoto, Makoto Umita, Teruyuki Ito, Ayumi Department of Frontier Matters and Function Engineering Graduate School of Engineering Iwate University Ueda 4-3-5 Morioka020-8551 Japan Department of Engineering King Mongkut's Institute of Technology Ladkrabang Prince of Chumphon Campus 17/1 Chumko Pathio Chumphon 86160 Thailand Course of Civil and Environmental Engineering Department of System Innovation Engineering Faculty of Science and Engineering Iwate University Ueda 4-3-5 Morioka020-8551 Japan Department of Food Production and Environmental Management Faculty of Agriculture Iwate University Ueda 3-18-34 Morioka020-8550 Japan Technical Office Faculty of Science and Engineering Iwate University Ueda 4-3-5 Morioka020-8551 Japan

Potassium ferrate (K2FeO4) containing hexavalent iron [Fe(VI)] is an environmentally friendly oxidant, which possesses strong oxidizing power to treat wastewater and sludge. Therefore, the present study investigated degradation of selected antibiotics, namely levofloxacin (LEV), ciprofloxacin (CIP), oxytetracycline (OTC), and azithromycin (AZI), in water and anaerobically digested sewage sludge samples using Fe(VI). The effects of different Fe(VI) concentrations and initial pH values on antibiotic removal efficiency were evaluated. Under the studied conditions, LEV and CIP were almost completely removed from water samples, following second-order kinetics. In addition, over 60% of the four selected antibiotics were removed from sludge samples using 1 g L−1 Fe(VI). Furthermore, P phytoavailability and compostability of Fe(VI)-treated sludge were evaluated using different extraction reagents and a small composting unit. The extraction efficiency of phytoavailable P using 2% citric acid and neutral ammonium citrate was approximately 40% and 70%, respectively. The mixture of Fe(VI)-treated sludge and rice husk was self-heated in a closed composting reactor through the biodegradation of organic matter derived from the treated sludge. Therefore, Fe(VI)-treated sludge may be used as an organic material containing phytoavailable P for compost. © 2023 Elsevier Ltd

关键词： Antibiotics

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A Design and Implementation of Water Heater Model Plant with Temperature Estimation Model for IOT Studies

A Design and Implementation of Water Heater Model Plant with...

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Vocational Education and Electrical engineering, International Conference on

作者： Anak Agung Surya Pradhana Nobuo Funabiki I Nyoman Darma Kotama I Gusti Made Ngurah Desnanjaya Made Leo Radhitya Nyoman Sarasuartha Mahajaya Graduate School of Environmental Life Natural Science and Technology Okayama University Okayama Japan Department of Electrical and Communication Engineering Okayama University Okayama Japan Department of Computer System Engineering Institute of Business and Technology Indonesia Denpasar Indonesia Department of Informatic Technology Institute of Business and Technology Indonesia Denpasar Indonesia Departement of Magister Information Systems Institut Teknologi dan Bisnis STIKOM Denpasar Indonesia

ISBN: (数字)9798331505103

ISBN: (纸本)9798331505110

This study presents the development of an Internet of Things (IoT) system for a water heater model, focusing on enhancing reliability during sensor malfunctions that could disrupt operations. Using the SEMAR IoT platform, the system efficiently collects and analyzes data, while the integration of the Holt-Winter algorithm ensures accurate temperature estimates, even with unreliable or missing sensor data. The algorithm successfully auto-calibrates sensors, predicts temperature at specific time intervals based on real sensor behavior, and fills in missing data during sensor failures. Tests show strong correlations between estimated and actual temperatures, allowing uninterrupted operation. This solution offers a flexible, cost-effective alternative to traditional redundancy, ensuring system reliability during sensor failures. Future research will explore alternative predictive models and conduct real-world testing to validate the system’s resilience under complex conditions.

关键词： Temperature sensors Temperature measurement Temperature distribution Temperature dependence Water heating Prediction algorithms Internet of Things Monitoring Testing Resilience

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Exploration of an Efficient Method for Removing Antibiotics from Water and Digested Sewage Sludge Using Fe(Vi): Kinetics and P Phytoavailability and Compostability in Treated Sludge

SSRN

引用

SSRN 2023年

作者： Limmun, Warunee Ishikawa, Nao Maeda, Takeki Umeda, Takayuki Song, Jie Sasamoto, Makoto Umita, Teruyuki Ito, Ayumi Department of Frontier Matters and Function Engineering Graduate School of Engineering Iwate University Morioka020-8551 Japan Department of Engineering King Mongkut's Institute of Technology Ladkrabang Prince of Chumphon Campus 17/1 Chumko Pathio Chumphon86160 Thailand Course of Civil and Environmental Engineering Department of System Innovation Engineering Faculty of Science and Engineering Iwate University Morioka020-8551 Japan Department of Food Production and Environmental Management Faculty of Agriculture Iwate University 3-18-34 Ueda Morioka020-8550 Japan Technical Office Faculty of Science and Engineering Iwate University Morioka020-8551 Japan

Potassium ferrate (K2FeO4) containing hexavalent iron [Fe(VI)] is an environmentally friendly oxidant, which possesses strong oxidizing power to treat wastewater and sludge. Therefore, the present study investigated degradation of selected antibiotics, namely levofloxacin (LEV), ciprofloxacin (CIP), oxytetracycline (OTC), and azithromycin (AZI), in water and anaerobically digested sewage sludge samples using Fe(VI). The effects of different Fe(VI) concentrations and initial pH values on antibiotic removal efficiency were evaluated. Under the studied conditions, LEV and CIP were almost completely removed from water samples, following second-order kinetics. In addition, over 60% of the four selected antibiotics were removed from sludge samples using 1 g·L-1 Fe(VI). Furthermore, P phytoavailability and compostability of Fe(VI)-treated sludge were evaluated using different extraction reagents and a small composting unit. The extraction efficiency of phytoavailable P using 2% citric acid and neutral ammonium citrate was approximately 40% and 70%, respectively. The mixture of Fe(VI)-treated sludge and rice husk was self-heated in a closed composting reactor through the biodegradation of organic matter derived from the treated sludge. Therefore, Fe(VI)-treated sludge may be utilized as an organic material containing phytoavailable P for compost. © 2023, The Authors. All rights reserved.

关键词： Antibiotics

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