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Thread programming for Blockchain Creation 7

Thread Programming for Blockchain Creation

引用

7th International Conference on Information Technology Systems and Innovation, ICITSI 2022

作者： Parjuangan, Sabam Suhardi Nugraha, I Gusti Bagus Baskara Doctoral Program of School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung40132 Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung40132 Indonesia

ISBN: (数字)9781665465557

ISBN: (纸本)9781665465557

The process of finding a block hash is a complex problem. One of the problems is making the hash from a generator algorithm that uses the existing string and the transaction data in the block. So far, the idea that has been used is to make it one step at a time using high-powered machines (supercomputing). Developing blockchain applications is hard because supercomputing is expensive. To solve this problem, developers need to use a different method, called parallel programming. This article talks about a parallel way to make block hashes, which are used to make new blocks. We use the SHA256 algorithm to process the hash. When creating a unique character string to be used as a block hash from a set of characters, thread division is done as part of the algorithmic skeleton process. Our experiments show that using threads to split work in parallel has speeded up the build process by 1.56 seconds compared to when blocks are hashed sequentially. In addition, it was also found that the threads that contributed the most to increasing speedup were 3 threads with an average processing time of 111,638 seconds. On average, the parallel hash generation process takes 707,853 seconds, while the sequential one takes 1756,56 seconds. We conclude the solution to building blockchain using the thread programming method with the number of threads is 3 for the computer specifications used to be the same or smaller than the computer specifications we use. © 2022 IEEE.

关键词： Blockchain

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Reducing Dependency on Imported Electricity: Utilizing Renewable Energy and Minimizing Fossil Fuel Power Plant Operations in West Kalimantan

Reducing Dependency on Imported Electricity: Utilizing Renew...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Akbar, Ilham Zakaria, Ariesa Budi Muljadi, Eduard Suwarno Hariyanto, Nanang Corporate University Graduate Program PLN-ITB Pln Auburn United States Auburn University Auburn United States School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350376067

This paper discusses West Kalimantan's dependency on imported electricity and fossil fuels and advocates for integrating renewable energy sources, especially solar power. With abundant solar resources and its equatorial location, West Kalimantan presents a significant solar PV generation opportunity. However, its dependence on imported electricity from the ASEAN Grid initiative poses risks to energy security. By promoting solar power as an alternative energy source and reducing reliance on fossil fuels, the paper aims to improve energy independence and sustainability. Integrating solar PV requires assessing frequency stability to ensure system resilience. Moreover, the interconnection between the two grids enhances system resilience and facilitates renewable energy integration. In summary, integrating solar PV power plants into the West Kalimantan system aims to decrease dependence on electricity imports from Sarawak while preserving the system's frequency stability. © 2024 IEEE.

关键词： Frequency stability

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Enhancement of Accuracy For UWB Indoor Positioning Using Support Vector Regression 13

Enhancement of Accuracy For UWB Indoor Positioning Using Sup...

引用

13th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2024

作者： Syathirah, Andi Sitti Munadi, Rendy Hapsari, Gita Indah Telkom University Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Jl. Telekomunikasi. 1 Terusan Buahbatu Jawa Barat Bojongsoang Indonesia

ISBN: (纸本)9798350368086

Ultra-Wide Band (UWB) is a wireless technology that utilizes frequencies with a wide bandwidth to provide coverage and positioning with centimeter-level accuracy. This technology has been widely applied in various fields, such as activity recognition, indoor localization, and through-wall radar. One of the main advantages of UWB is its ability to determine the location of objects with an accuracy of up to 10 cm, making it ideal for tracking moving assets in complex and space-sensitive environments. In this study, a UWB-based positioning system uses a minimum of three anchors and one tag to measure the distance between devices. However, some conditions can reduce the measurement accuracy. To overcome this, this study proposes the use of the Support Vector Regression (SVR) algorithm to improve the accuracy of the system's positioning. SVR is a regression method that supports linear and non-linear regression, with the aim of finding the optimal hyperplane that minimizes prediction errors. The results of the study show that UWB combined with SVR can provide significant accuracy, with a Mean Absolute Error (MAE) of 17 cm on the X coordinate and 19 cm on the Y coordinate, and a Mean Squared Error (MSE) of 4 cm on the X coordinate and 5 cm on the Y coordinate in Line of Sight (LOS) conditions which under 20 cm. This confirms that the combination of UWB and SVR is an effective approach in improving the accuracy of indoor positioning. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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SODIUM-ION BATTERY CYCLE LIFE PREDICTION USING MACHINE LEARNING

SODIUM-ION BATTERY CYCLE LIFE PREDICTION USING MACHINE LEARN...

引用

International Conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Liu, Linfeng Juwono, Filbert H. Wong, W.K. Purwanto, Erick Jin, Tingyan Zhen, Yuyang Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Computer Engineering Curtin University Malaysia Miri Malaysia Department of Computing Xi'an Jiaotong-Liverpool University Suzhou China School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing China School of Instrument Science and Technology Beijing University of Technology Beijing China

ISBN: (纸本)9781837242689

In this study, we explore the classification and prediction capabilities of three models-Genetic programming (GP), Logistic Regression (LR), and the Kolmogorov-Arnold Network (KAN)-on the task of sodium-ion battery life prediction. By leveraging a dataset composed of multiple battery characteristics, we aim to determine the remaining power of sodium-ion batteries using these machine learning models. The KAN model, being a novel approach, demonstrates superior performance across various metrics, including accuracy, precision, recall, and F1 score, when compared to the other two models. This highlights the potential of KAN as a robust model for complex classification tasks in the field of battery life prediction. © The Institution of engineering & Technology 2024.

关键词： Genetic programming

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Real-time Computation of E-field in Transcranial Magnetic Stimulation for Neuronavigation and Optimization

Real-time Computation of E-field in Transcranial Magnetic St...

引用

2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025

作者： Hasan, Nahian I. Dannhauer, Moritz Wang, Dezhi Deng, Zhi-De Gomez, Luis J. Elmore Family School of Electrical and Computer Engineering Purdue University WLIN United States National Institute of Mental Health Intramural Research Program National Institutes of Health United States

ISBN: (纸本)9781946815200

Transcranial Magnetic Stimulation (TMS) is a non-invasive brain stimulation technique used for the treatment of depression, as well as various neurological and psychiatric disorders. There has been ongoing interest in developing fast E-field solvers that can be easily incorporated into neuronavigation systems to facilitate real-time E-field in targeted brain regions, optimizing dosing parameters. © 2025 USNC-URSI.

关键词： Neurons

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Advanced Data Instrumentation for Stunting Analysis in Physical-Cyber Architecture 17

Advanced Data Instrumentation for Stunting Analysis in Physi...

引用

17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Nugraha, Daniel Nurtam, M. Riza Mistialustina, Hartuti Saepudin, Didin Surjono, Welly Prihatmanto, Ary Setijadi Institut Teknologi Bandung Doctoral Program of School of Electrical Engineering and Infomatics Bandung Indonesia Universitas Widya Dharma Pontianak Kalimantan Barat Indonesia Universitas Sangga Buana Faculty of Engineering Electrical Engineering Department Bandung Indonesia Universitas Sangga Buana Bandung Indonesia Institut Teknologi Bandung School of Electical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350309164

In Indonesia, stunting is a serious problem that has drawn a lot of attention from the government. This study offers a novel strategy for preventing stunting by combining the 5-Desk Model used in integrated health posts (Posyandu) with the Cyber-Physical System (CPS) architecture. Chronic malnutrition and childhood diseases can cause stunting, which can result in long-Term health issues and cognitive deficits. Despite advancements, it still poses a serious threat to almost every Indonesian province. For the purpose of gathering data in Posyandu, such as registration, growth measurement, recording, counseling, and health services, the 5-Desk Model provides an organized framework. This promotes the well being of the community and gives healthcare professionals the ability to thoroughly monitor important health indicators. This strategy is improved with CPS integration, which results in a four-layered, comprehensive system that includes gamification, business intelligence, information systems, and instrumentation. To maximize efforts to avoid stunting, this architecture facilitates accurate monitoring, real-Time data collecting, data analysis, and stakeholder communication. This study imagines a data-driven future for Indonesian stunting prevention, where cooperation, technology, and data are combined to address this pressing problem and safeguard the future prospects and wellbeing of Indonesia's youth. Implementing this goal and expanding stunting prevention initiatives will be the main goals of future research. © 2023 IEEE.

关键词： Cyber Physical System

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Smart Energy Management with Integrated WSN and WMN: Advancing Efficiency and Sustainability

Smart Energy Management with Integrated WSN and WMN: Advanci...

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Ali Alrasheedi Mousa Al-Abdulhadi Raha Almutairi Abdullah AlRuwaiei Almas Khlaif Abdullah AlAlati Omar R. Daoud Electrical and Computer Engineering Program School of Engineering and Computing American International University Aljahra Kuwait

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

The aim of this paper is to provide an advanced WSN solution for power-sustainable energy management and efficient communication, integrating the latest developments from the SEMS. This work will focus on the research effort directed at improving M2M communication and integrating WSNs with wireless mobile networks, as well as addressing PAPR, energy consumption, and scalability. It now applies to real-time monitoring of power usage, room temperature, and lighting by integrating renewable resources of energy with sophisticated algorithms and sensor networks. Key results include a 16.6% saving in energy consumptions, 78% in system delay improvements, and the implementation of solar energy systems that have realized significant cost savings while assuring environmental sustainability. This work proves the ability of the approach through wide simulations and real-world deployments for scalable and eco-friendly energy management solutions. Besides, this work is closely related to worldwide goals for reduction of carbon footprints and efficient resource utilization.

关键词： Wireless sensor networks Renewable energy sources Energy consumption Scalability Peak to average power ratio Real-time systems Parity check codes Energy efficiency Delays Sustainable development

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Verification of the Inactivation Effect of Near-UV LEDs using a Pulsed Lighting System on Staphylococcus aureus

Verification of the Inactivation Effect of Near-UV LEDs usin...

引用

2024 IEEE Sustainable Smart Lighting World Conference and Expo, LS24 2024

作者： Nomura, Hiroki Kihara, Seiji Zukeran, Akinori Sawai, Jun Misu, Takayuki Kanagawa Institute of Technology Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Engineering Department of Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Health and Medical Sciences Department of Nutrition and Life Science Atsugi Kanagawa243-0292 Japan

ISBN: (纸本)9798331540197

The purpose of this study is to investigate the disinfection effect of Near-UV LED light, which is pulsed using PWM control, on Staphylococcus aureus. To evaluate the disinfection effect of Near-UV LED light, three types of Near-UV LEDs with wavelengths of 395 nm, 385 nm, and 365 nm were installed within a sealed space inside an incubator and energized with a forward current of 1000 mA and a forward voltage of 3.6 V, and the disinfection rate under each type of light was assessed. Additionally, the disinfection effect was evaluated when the same three types of Near-UV LEDs were pulsed with a 50% duty cycle. As a result, 100% disinfection was achieved with 365 nm Near-UV LED direct-current irradiation for 120 seconds, and a 93% disinfection rate was obtained with pulsed irradiation for 150 seconds. © 2024 IEEE.

关键词： Light emitting diodes

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Blockchain-based Smart Contract in Service-Oriented Business Processes 7

Blockchain-based Smart Contract in Service-Oriented Business...

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7th International Conference on Information Technology Systems and Innovation, ICITSI 2022

作者： Parjuangan, Sabam Suhardi Nughara, I Gusti Bagus Baskara Khoirunnisa, Elvin Doctoral Program of School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung40132 Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung40132 Indonesia University of Twente Faculty of Electrical Engineering Mathematics Computer Science Enschede Netherlands

ISBN: (数字)9781665465557

ISBN: (纸本)9781665465557

Service systems' business processes show the existence of mutual interaction between users. Running a particular business subdomain requires the role of each user. This role is in line with the concept contained in blockchain-based smart contracts. However, determining the subdomains that require smart contract coding is challenging in developing business processes that will run on the blockchain. We aim to determine the service-oriented business process (in the case of marketplace service) and the subdomain of the business process that requires smart contract coding. This article is essential because it shows how developing IT services without a smart contract differs from developing IT services with a smart contract. The main differences between developing services that need smart contracts and those that do not are that certain process can be run automatically and the record of activity in blockchain cannot be changed by anyone (tamper-proof). We outlined methods for designing marketplace business processes and defined subdomains to be encoded into smart contract code. After reviewing the three marketplace platforms, we determined eight subdomains of the marketplace business process. Two subdomains require smart contract coding from eight, namely the payment and complaint subdomains. © 2022 IEEE.

关键词： Smart contract

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Optimized Instruction Set Architecture for programmable Memory Test Pattern Generation 21

Optimized Instruction Set Architecture for Programmable Memo...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Park, Seokmin Park, Jewoo Lee, Young-Woo Inha University School of Electrical and Computer Engineering Incheon Korea Republic of Inha University Program in Semiconductor and Device Korea Republic of Hyundai Motor Company Hwaseong Korea Republic of

ISBN: (纸本)9798350377088

Continuous progress in memory semiconductor manufacturing technology has significantly increased capacities, densities, and operating frequencies. However, these developments have also increased the probability of memory defects, consequently diminishing yield rates. To overcome this issue, various memory test pattern algorithms have been devised to identify the type of memory defect, primarily categorized into linear and nonlinear patterns. This paper presents an instruction-based approach for efficiently generating diverse nonlinear patterns. The proposed instruction set architecture (ISA) provides flexibility in generating both linear and intricate nonlinear patterns, while also ensuring a compact memory test setup cycle, regardless of the memory cell size. © 2024 IEEE.

关键词： Cost reduction

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