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International Conference on Information technology, computer and Electrical Engineering (ICITACEE)

作者： Erick Fernando Harco Leslie Hendric Spits Warnars School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728172262

ISBN: (纸本)9781728172279

Nowadays, the number of cars is increasing every year, with the number of cars increasing, the parking areas will be limited. If parking areas can take more space in a town/place, it will be good for the town itself because nowadays the problem is either no parking space or too much parking space which is not suitable for human space. Moreover, because our population keeps going up and space is reducing even, we have to cut the forest to make space for parking lots, which is not suitable for our ecosystem. The number of cars itself also increasing each year, which is so problematic in road and infrastructure management. To fix this, we need to have a sound management system for maximizing the use of available space in town and minimizing the traffic in the road. The problem nowadays is a roaming car that searching for parking space and making road traffic and making massive pollution for the town. When a car searching for a parking slot inside a building that is crowded, it will go around the parking lot, and there will be traffic inside the parking lot because many cars will queue searching for empty parking slots. This means that the driver will also waste many fuels, which is not suitable for the ecosystem. Since this problem has not been fixed yet and the population is increasing each year, and a new way of driving and parking system is required, we want to propose a new system that uses the processor board, wireless sensor network to fix the problem.

关键词： Wireless sensor networks Roads Sociology Automobiles Fuels Statistics Vehicles

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INTERPRETATION OF DEEP TEMPORAL REPRESENTATIONS BY SELECTIVE VISUALIZATION OF INTERNALLY ACTIVATED UNITS

arXiv

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arXiv 2020年

作者： Cho, Sohee Lee, Ginkyeng Choi, Jaesik Graduate School of AI KAIST Daejeon Korea Republic of School of Electrical and Computer Engineering Ulsan National Institute of Science and Technology Ulsan Korea Republic of

Recently deep neural networks demonstrate competitive performances in classification and regression tasks for many temporal or sequential data. However, it is still hard to understand the classification mechanisms of temporal deep neural networks. In this paper, we propose two new frameworks to visualize temporal representations learned from deep neural networks. Given input data and output, our algorithm interprets the decision of temporal neural network by extracting highly activated periods and visualizes a sub-sequence of input data which contributes to activate the units. Furthermore, we characterize such sub-sequences with clustering and calculate the uncertainty of the suggested type and actual data. We also suggest Layer-wise Relevance from the output of a unit, not from the final output, with backward Monte-Carlo dropout to show the relevance scores of each input point to activate units with providing a visual representation of the uncertainty about this impact. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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Intrinsic Exciton-Phonon Coupling and Tuning in ZnTe Nanowires Probed by Resonant Raman Scattering

引用

Physical Review Applied 2020年第1期13卷 011001-011001页

作者： Yingyan Yi Jason K. Marmon Yuanping Chen Fan Zhang Tao Sheng Priyalal S. Wijewarnasuriya Haitao Zhang Yong Zhang Department of Electrical and Computer Engineering University of North Carolina at Charlotte Charlotte North Carolina 28223 USA School of Science Wuhan University of Technology Wuhan Hubei 430070 China Nanoscale Science Graduate Program University of North Carolina at Charlotte Charlotte North Carolina 28223 USA US Army Research Laboratory Adelphi Maryland 20783 USA Optical Science and Engineering Graduate Program University of North Carolina at Charlotte Charlotte North Carolina 28223 USA Department of Mechanical Engineering and Engineering Science University of North Carolina at Charlotte Charlotte North Carolina 28223 USA

We show in ZnTe that the 2LO to 1LO resonant Raman intensity ratio, a measure of electron-phonon coupling (EPC), exhibits a much larger intrinsic value than that previously reported and minimal change from bulk to 30 nm nanowires. However, the ratio can be tuned extrinsically over one order in magnitude controllably either during or after growth, and thus, allows for the programing of EPC or quantum information in nanoscale devices. This work helps to understand a matter of controversy in the literature for more than three decades, regarding the EPC size dependence in nanostructures, and provides unambiguous experimental results for validating EPC theories with reduced dimensionality.

关键词： Crystal defects Electron-phonon coupling Excitons Optoelectronics Nanowires Semiconductor compounds Photoluminescence Raman spectroscopy

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Ultrasound-based control of micro-bubbles for exosome delivery in treating COVID-19 lung damage

arXiv

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arXiv 2021年

作者： Fonseca, Bruna Fonseca, Caio Barros, Michael White, Mark Abhyankar, Vinay Borkholder, David A. Balasubramaniam, Sasitharan Telecommunication Software & Systems Group Waterford Institute of Technology Waterford Ireland Research Innovation & Graduate Studies Waterford Institute of Technology Waterford Ireland School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom Kate Gleason College of Engineering Rochester Institute of Technology Rochester United States

The recent COVID-19 pandemic has resulted in high fatality rates, especially for patients who suffer from underlying health issues. One of the more serious symptoms exhibited from patients suffering from an acute COVID-19 infection is breathing difficulties and shortness of breath, which is largely due to the excessive fluid (cellular leakage and cytokine storm) and mucoid debris that have filled lung alveoli, and reduced the surfactant tension resulting in heavy and stiff lungs. In this paper we propose the use of micro-bubbles filled with exosomes that can be released upon exposure to ultrasound signals as a possible rescue therapy in deteriorating COVID-19 patients. Recent studies have shown that exosomes can be used to repair and treat lung damage for patients who have suffered from the viral infection. We have conducted simulations to show the efficacy of the ultrasound signals that will penetrate through layers of tissues reaching the alveoli that contains the micro-bubbles. Our results have shown that ultrasound signals with low frequencies are required to oscillate and rupture the polymer-based micro-bubbles. Our proposed system can be used for patients who require immediate rescue treatments for lung damage, as well as for recovered patients who may suffer from viral relapse infection, where the micro-bubbles will remain dormant for a temporary therapeutic window until they are exposed to the ultrasound signals. © 2021, CC BY-NC-ND.

关键词： Biological organs

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A timeline of cognitive costs in decision-making

引用

Trends in Cognitive sciences 2025年

作者： Schulze, Christin Aka, Ada Bartels, Daniel M. Bucher, Stefan F. Embrey, Jake R. Gureckis, Todd M. Häubl, Gerald Ho, Mark K. Krajbich, Ian Moore, Alexander K. Oettingen, Gabriele Ongchoco, Joan D.K. Oprea, Ryan Reinholtz, Nicholas Newell, Ben R. School of Psychology University of New South Wales SydneyNSW Australia Stanford Graduate School of Business StanfordCA United States University of Chicago Booth School of Business ChicagoIL United States University of Cambridge Faculty of Economics Cambridge United Kingdom Massachusetts Institute of Technology Sloan School of Management CambridgeMA United States Max Planck Institute for Biological Cybernetics Tübingen Germany New York University Department of Psychology New YorkNY United States University of Alberta School of Business EdmontonAB Canada Stevens Institute of Technology Department of Computer Science HobokenNJ United States University of California Los Angeles Department of Psychology Los AngelesCA United States University of Illinois Chicago Department of Marketing ChicagoIL United States University of British Columbia Department of Psychology VancouverBC Canada University of California Santa Barbara Department of Economics Santa BarbaraCA United States University of Colorado Boulder Leeds School of Business BoulderCO United States Institute for Climate Risk & Response University of New South Wales SydneyNSW Australia

Recent research from economics, psychology, cognitive science, computer science, and marketing is increasingly interested in the idea that people face cognitive costs when making decisions. Reviewing and synthesizing this research, we develop a framework of cognitive costs that organizes concepts along a temporal dimension and maps out when costs occur in the decision-making process and how they impact decisions. Our unifying framework broadens the scope of research on cognitive costs to a wider timeline of cognitive processing. We identify implications and recommendations emerging from our framework for intervening on behavior to tackle some of the most pressing issues of our day, from improving health and saving decisions to mitigating the consequences of climate change. © 2025 Elsevier Ltd

关键词： Decision making

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Improving Conversion Rates for Fashion e-Commerce with A/B Testing

Improving Conversion Rates for Fashion e-Commerce with A/B T...

引用

International Conference on Information Management and technology (ICIMTech)

作者： Reza Rahutomo Yulius Lie Anzaludin Samsinga Perbangsa Bens Pardamean School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Shopping centers are transformed from physical stores to e-commerce with more varied product and service offerings. Since fashion is the most favorite item category in Indonesia, there are lots of fashion e-commerce grown in the country. One of the unsatisfactory conditions that are occurred in fashion e-commerce in Indonesia is user drop off. By using funnel analysis, the product detail page of fashion e-commerce founded as the page with the most user drop off. To tackle this problem, several experiments were prepared. With A/B testing, the experiments that possibly improved the conversion rate were identified. This research discovered experimental version of the User Interface (UI) of the product detail page by manipulating button colors, layout, and delivering comprehensible information to users.

关键词： Testing Electronic mail Customer relationship management Information systems Image color analysis Google

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A Blockchain technology-Based for University Teaching and Learning Processes

A Blockchain Technology-Based for University Teaching and Le...

引用

International Conference on Information Management and technology (ICIMTech)

作者： Meyliana Cadelina Cassandra Surjandy Henry Antonius Eka Widjaja Harjanto Prabowo Erick Fernando Yakob Utama Chandra School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Contemporary, Indonesia is looking for an innovative solution to securing diploma certificate and transcript from forgery. Several cases had been reported due to the usage of a fake transcript. One modus of using fake transcript is to enter a higher level of education and job promotion. The new technology found called Blockchain believes in solving the problem. Characteristics of Blockchain technology such as secured, immutable, distributed, transparent seem to be matched with transcript document requirement. Therefore, the research tries to create a process model of the university teaching and learning process. Several studies have been done; however, no detailed process shown especially for teaching and learning activities. The research question is, how are teaching, and learning activities can be supported by Blockchain technology? Qualitative method used in this research, focus group discussion with 9 reputable universities discussed the academic operation process and the result show that it is possible to adopt Blockchain technology into the teaching and learning process to avoid forgery of university transcript documents.

关键词： Education Forgery Reliability Information management Contracts

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Blockchain technology Open Problems and Impact to Supply Chain Management in Automotive Component Industry

Blockchain Technology Open Problems and Impact to Supply Cha...

引用

International Conference on Computing, Engineering, and Design (ICCED)

作者： Surjandy Meyliana Hareco Leslie Hendric Spits Warnars Edi Abdurachman School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

The study of the adoption of Blockchain technology (BT) of the Supply Chain Management System (SCMS) automotive components industry still in infancy. BT's previous research topic mostly in virtual currency, security, and IoT. However, the automotive market's significant development causes several issues in the SCMS automotive components industry, such as fake components. Blockchain technology (BT), as identified, might be possible as a way out for the development of SCMS automotive components. There are several research questions in this research, such as how BT can facilitate SCMS open issues? What is the BT impact in the SCM area? The study method used the systematic literature review (SLR) method to gather all information from 12 publishers and an international index journal. Seven open issues identified in this study and SCM's core operational aspect, such as supplier, logistics, manufacturer, distribution, and customer, have been identified impact with BT.

关键词： Industries Supply chain management Manufacturing processes Systematics Blockchain Tools Security

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Logistics distribution supply chain optimization model with VRP in the context of E-commerce

引用

AIP Conference Proceedings 2023年第1期2714卷

作者： M. Khahfi Zuhanda Herman Mawengkang Saib Suwilo Mardiningsih Opim Salim Sitompul Graduate School of Mathematics Universitas Sumatera Utara Medan Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

The distribution of logistics in a supply chain is critical in facilitating the flow of production from manufacturer to consumer. Such challenges have grown significantly, particularly with the advancement of technology, particularly with the emergence of e-business. This is reflected in the growing number of online services for providing a product to consumers. The issue of logistics distribution is widely discussed in the context of research operations, with various models proposed. However, researchers have not seen any models that include logistics distribution transportation in previous studies. The inclusion of routing in the logistic distribution model transforms the problem into an NP-Hard combinatorial optimization, or in other words, an NP-Hard problem is one in which there is no algorithm that can find an optimal solution in polynomial time. Even if an algorithm exists to solve it exactly, it will take a very long time, especially as the problem size grows larger.

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Optimization for support chain planning of crude oil industry

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AIP Conference Proceedings 2023年第1期2714卷

作者： Lilis Opim Salim Sitompul Sutarman Saib Suwilo Herman Mawengkang Graduate School of Mathematics Universitas Sumatera Utara Medan Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia

Crude palm Oil (CPO) industry belongs to an important business which has a network system, due to the fact that this product is not an end-product. The network system performs procurement of materials, then processing these materials into intermediate and finished products, and distribute of these intermediate/ finished products to customers. This process is called supply chain system. In this paper, the CPO milling industries does not have their own oil palm plantation, the FFB are supplied by surrounded public oil palm plantations. The availability of FFB is limited, therefore the management needs to choose from which plantations would be met the demand. This paper addresses a mixed integer linear programming model for the supply chain integrated problem, combined with waste processing. The mathematical programming model is solved using direct search approach.

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