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2023 IEEE IFEES World Engineering Education Forum and Global Engineering Deans Council, WEEF-GEDC 2023

作者： Gurganus, Jamie R. Malschutzky, Michael M. Do Carmo Santos, Joao Carlos Zupan, Marc Dos Santos, Abel Dias Engineering & Computing Education Program & Graduate School Baltimore United States Centre for Teaching Development and Innovation Department of Management Sciences Hochschule Bonn-Rhein-Sieg Sankt Augustin Germany College of Engineering and Information Technology Department of Mechanical Engineering Baltimore United States Departamento de Engenharia Mecânica Porto Portugal

ISBN: (纸本)9798350316025

Today's pluralistic and globalized society requires a global perspective in how we think, view ourselves, and relate to others to collaborate successfully with people with different cultural backgrounds. To support the development of a global perspective, universities cultivate international co-operations to enable international mobility for students, faculty, and staff. However, in-person mobility can be inhibited due to various reasons. To support a wider pool of students gaining international experience, modern digital mediated course formats can be used to offer virtual instead of in-person mobility. This contribution evaluates a digital mediated course for mechanical engineering students (Global Engineering, GE) held in co-operation between an US and a Portuguese university, where internationally mixed student groups working on design projects in an Hyflex setting. Asides a literature driven discussion about the need for Global Engineers and a detailed description of the GE course, a longitudinal analysis was performed to assess the impact of the GE course on the students' development of a global perspective. The longitudinal analysis showed strong statistical support that the digitally mediated GE course improved the participating students' global perspective, assessed with the Global Perspective Inventory (GPI), tremendously. The observed improvements were in three of the six GPI dimensions comparable to an in-person semester abroad. Limitations of the study and future investigations are discussed. © 2023 IEEE.

关键词： Students

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Rotational Regrasping For a Stick-type Object Using Inertial Force Based on High-speed Swing-up Motion

Rotational Regrasping For a Stick-type Object Using Inertial...

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IEEE International Conference on Robotics and Biomimetics

作者： Taku Senoo Atsushi Konno Hayato Otsubo Idaku Ishii Course of Systems Science and Informatic Graduate School of Information Science and Technology Hokkaido University Sapporo Hokkaido Japan Smart Innovation Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan

In this paper, robotic regrasping is considered with the goal of achieving dexterous manipulation. The strategy using quick wrist snap is based on human regrasping, and involves rotating the grasped object due to the inertial force while maintaining the contact state. The posture of the grasped object is measured by high-speed vision in real time and is used for posture control. Experimental results are shown where regrasping of a stick-type object in the direction contrary to gravity can be achieved by a high-speed robot hand.

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A Parabolic Spiral Coil Transmitter for Charging Multiple Receivers

A Parabolic Spiral Coil Transmitter for Charging Multiple Re...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Ryotaro Kudo Koutaro Hachiya Toshiki Kanamoto Atsushi Kurokawa Graduate School of Science and Technology Hirosaki University Aomori Japan Graduate Program in Environmental Information Science Teikyo Heisei University Tokyo Japan

ISBN: (纸本)9781665492331

Magnetic coupled wireless power transfer systems have been incorporated in various devices including smartphones, and are becoming important to charge multiple devices at the same time. In this paper, we propose a new circular transmitter that can efficiently charge multiple receivers. The transmitter coil consists of a parabolic spiral that is sparse on the inside and tight on the outside from the beginning. The analysis result shows that when the five receivers are charged, they can be charged almost evenly and the total efficiency is 79.2%.

关键词： Spirals Transmitters Magnetic devices Receivers Wireless power transfer Magnetic analysis Magnetic fields

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Deep Neural Network Based Inductance Calculations of Wireless Power Transfer Systems

Deep Neural Network Based Inductance Calculations of Wireles...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Kai Sato Toshiki Kanamoto Ryotaro Kudo Koutaro Hachiya Atsushi Kurokawa Graduate School of Science and Technology Hirosaki University Aomori Japan Graduate Program in Environmental Information Science Teikyo Heisei University Tokyo Japan

ISBN: (纸本)9781665492331

This paper proposes a new method for obtaining self and mutual inductances in wireless power transfer (WPT) systems using a deep neural network (DNN). In this paper, five structural parameters of a WPT system were experimentally used as inputs. The experimental results demonstrate that inductances obtained by the proposed method are within 10% in the maximum errors and about 1% in the mean absolute errors. The proposed method is about 682k times faster than the field solver in the CPU time required to obtain the inductances of one structure.

关键词： Deep learning Inductance Neural networks Wireless power transfer Structural engineering Consumer electronics

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Integration of the Use of Conventional technology Towards Smart Home technology for People in the City of Jakarta

Integration of the Use of Conventional Technology Towards Sm...

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International Conference on ICT For Smart Society (ICISS)

作者： Tanty Oktavia Febian Wijaya Lintang Gerald Christian Ongko Griselda Valerie Michelle Benedicta Vieri Aska Juneio Sembiring Zaldy Raditya Ananta Takaaki Hosoda Ford Lumban Gaol Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Decision Science Department Advanced Institute of Industrial Technology Tokyo Japan Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

Smart Home technology offers technological concepts that can be controlled through smart devices to make it easier for the community. Therefore, smart home technology is starting to seize the home electronics market in Indonesia, especially in the city of Jakarta. This study aims to determine the integration of conventional technology into smart home technology for people in Jakarta. The research model in this study uses UTAUT2 which analyzes nine variables, namely Perceived Usefulness, Perceived Cost, Perceived Ease of Use, Social Influence, Perceived Compatibility, Trust, Perceived Pleasure, and Effort Expectations, Intention to Use Smart Home technology. After the responses were received, data analysis was carried out using the PLS-SEM approach with the SmartPLS application. The results of this study show that there are many people who live in Jakarta who are helped by the presence of smart home technology. However, there are some people who don't really know how to use a smart home because of a lack of knowledge about this technology.

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Analysis of Several Quantum Encoding Methods Implemented on A Quantum Circuit Architecture to Improve Classification Accuracy

Analysis of Several Quantum Encoding Methods Implemented on ...

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International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)

作者： Rahmad Fauzi Muhammad Zarlis Herman Mawengkang Poltak Sihombing Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

ISBN: (纸本)9798350320725

Quantum encoding is a process to transform classical information into quantum states. It plays a crucial role in using quantum algorithms to solve classical problems, especially in quantum machine learning tasks. There are many QE methods. It is very difficult to determine which QE method to choose to improve classification accuracy. Therefore, this paper will analyze several QE methods. Training and testing on Iris flower datasets were performed in a architecture quantum circuit and some performances parameters were evaluated. The expected result is that we can compare the classification accuracy of some of these Quantum encodings.

关键词： Training Quantum computing Quantum algorithm Computer architecture Transforms Quantum state Encoding

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Dynamic Terrain Data Exchange in a Collaborative Terrain Editor

Informatica (Slovenia)

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Informatica (Slovenia) 2022年第4期46卷 575-582页

作者： Tarigan, Jos Timanta Sitompul, Opim Salim Zarlis, Muhammad Nababan, Erna Budhiarti Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Information Systems Management Department BINUS Graduate Program Bina Nusantara University Jakarta Indonesia

In a computer supported cooperative work (CSCW), data consistency between collaborating users is a crucial issue. Based on the type of the application, ensuring data consistency can be a lengthy process that takes time and affects the system’s performance. In most 3D application, terrain data are massive due to its size. Exchanging this data may be expensive and may cause significant delay. In a real-time collaborative terrain editor, this issue becomes more significant due to terrain data exchange is consistently occurred between collaborating users. We present a solution to perform a conflict-free dynamic terrain data exchange in a real-time collaborative terrain editor. Our objective is to develop a method that able to ensure data consistency amongst collaborating peers in real-time manner. The main idea of our method is to split the terrain into smaller patches and synchronize the changes efficiently by only exchanging the modified patches. We applied our solution to a collaborative terrain editor application to test its performance in a real-time collaborative editing session. The tests were done in multiple scenarios, using different patch model, brush size (in the terrain editor), and connection setup between server and collaborating clients. The result shows that our protocol is capable to maintain data consistency between collaborating clients in a real-time terrain edition session. The delay is varied and highly depends on the data size and client-server environment setup. The overall test shows that it is possible to perform a collaborative terrain editing with an acceptable response time delay. In this paper, we present our proposed method, the implementation, and the result data from the test. © 2022 Slovene Society Informatika. All rights reserved.

关键词： Electronic data interchange

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A Deep Learning Model of Amyloid-β Diffusion Simulation

A Deep Learning Model of Amyloid-β Diffusion Simulation

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2024 International Conference on Electronics, information, and Communication, ICEIC 2024

作者： Jeong, ByeongChang Kim, Daegyeom Jeong, Hyun-Ghang Han, Cheol E. Korea University Alzheimer's Disease Neuroimaging Initiative Dept. of Electronic and Information Engineering Sejong Korea Republic of Korea University Alzheimer's Disease Neuroimaging Initiative Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Sejong Korea Republic of Korea University College of Medicine Alzheimer's Disease Neuroimaging Initiative Dept. of Psychiatry Seoul Korea Republic of

ISBN: (纸本)9798350371888

Alzheimer's disease (AD) is a severe neurodegenerative disease characterized by ongoing brain tissue decline. Since amyloid-β accumulation is supposed as a primary cause of AD progression, mathematical models have been recently employed to simulate amyloid-β diffusion in our brain. These models require parameter estimation through observed data and an iterative process to update parameters, although increased complexity can hinder their optimization. To overcome these difficulties, we converted the mathematical model of amyloid-β diffusion into a deep learning model, combining multi-layer perceptron (MLP) and graph convolutional neural network (GCN). The proposed model well predicted the change of accumulation level of amyloid-β with a high accuracy. © 2024 IEEE.

关键词： Convolutional neural networks

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Three-dimensional magnetization reconstruction from electron optical phase images with physical constraints

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Science China(Physics,Mechanics & Astronomy) 2024年第11期67卷 122-132页

作者： Boyao Lyu Shihua Zhao Yibo Zhang Weiwei Wang Fengshan Zheng Rafal E.Dunin-Borkowski Jiadong Zang Haifeng Du Anhui Province Key Laboratory of Low-Energy Quantum Materials and Devices High Magnetic Field LaboratoryHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Science Island Branch Graduate School of University of Science and Technology of ChinaHefei 230026China Department of Physics and Astronomy University of New HampshireDurham 03824USA Department of Physics The City College of New YorkNew York 10031USA Physics Program Graduate Center of the City University of New YorkNew York 10016USA Department of Chemistry University of New HampshireDurham 03824USA Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China Spin-X Institute Center for Electron MicroscopySchool of Physics and OptoelectronicsState Key Laboratory of Luminescent Materials and DevicesGuangdong-Hong Kong-Macao Joint Laboratory of Optoelectronic and Magnetic Functional MaterialsSouth China University of TechnologyGuangzhou 511442China Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons Forschungszentrum JülichJülich 52425Germany

The ability to characterize three-dimensional(3D)magnetization distributions in nanoscale magnetic materials and devices is essential to fully understand their static and dynamic magnetic *** contrast techniques in the transmission electron microscope(TEM),such as electron holography and electron ptychography,can be used to record two-dimensional(2D)projections of the in-plane magnetic induction of 3D nanoscale *** the 3D magnetic induction can in principle be reconstructed from one or more tilt series of such 2D projections,conventional tomographic reconstruction algorithms do not recover the 3D magnetization within a sample ***,we use simulations to describe the basis of an improved model-based algorithm for the tomographic reconstruction of a 3D magnetization distribution from one or more tilt series of electron optical phase images recorded in the *** algorithm allows a wide range of physical constraints,including a priori information about the sample geometry and magnetic parameters,to be *** also makes use of minimization of the micromagnetic energy in the loss *** demonstrate the reconstruction of the 3D magnetization of a localized magnetic soliton—a hopfion ring—and discuss the influence of noise,choice of magnetic constants,maximum tilt angle and number of tilt axes on the *** algorithm can in principle be adapted for other magnetic contrast imaging techniques in the TEM,as well as for other magnetic characterization techniques,such as those based on X-rays or neutrons.

关键词： three-dimensional magnetization vector field tomography differentiable programming electron holography micromagnetism

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Secure Handwritten Protocol for Protecting Integrity of Digital Evidences

Secure Handwritten Protocol for Protecting Integrity of Digi...

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2024 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2024

作者： Hsu, Chien-Lung Lin, Wei-Qian Tso, Sheng-Hsin Graduate Institute of Management Chang Gung University Taoyuan Taiwan Department of Information Management Chang Gung University Taoyuan Taiwan Department of Master of Science Degree Program in Innovation for Smart Medicine Chang Gung University Taoyuan Taiwan Healthy Aging Research Center Chang Gung University Taoyuan Taiwan Department of Visual Communication Design Ming-Chi University of Technology Taoyuan Taiwan Chang-Gung Memorial Hospital Taiwan Department of Information Management National Central University Taoyuan Taiwan

ISBN: (纸本)9798350389210

With the advancement of technology, people constantly use IT through the Internet. In this modern living environment, many individuals exploit this technological landscape for illegal gains and criminal activities. Judicial investigation units gather relevant evidence from the crime scene and process it when a crime occurs. When the medium used in criminal activity involves information technology, it is referred to as digital evidence. Unlike traditional evidence, which leaves traces if moved or altered, digital evidence can be copied without any detectable changes, posing challenges to maintaining its integrity and accuracy. This article explores how digital identification can ensure that the content of a report matches the evidence seized at the scene. It also addresses how the validity of digital evidence, as presented by the investigating authority, can be upheld in court. Additionally, it discusses the use of digital evidence and electronic handwritten signatures to enhance evidence preservation measures. © 2024 IEEE.

关键词： Authentication Protocol

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