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9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019

作者： Peng, Kai Zhu, Shuaiqi Zheng, Lixin Xu, Xiaolong Leung, Victor C. M. College of Engineering Huaqiao University Quanzhou China Fujian Provincial Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems Quanzhou China Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Nanjing University of Science and Technology Nanjing210094 China Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada

ISBN: (纸本)9783030485122

Computation offloading is becoming a promising technology that can improve quality of service for mobile users in mobile edge computing. However, it becomes much difficult when there are multi-cloudlet near to the mobile users. The resources of the cloudlet are heterogeneous and finite, and thus it is challenge to choose the best cloudlet for the multi-user. The issue for multi-user in multi-cloudlet environment is well-investigated in this study. Firstly, we establish a multi-objective optimization model with respect to time consumption and energy consumption of mobile devices. Moreover, we devise a multi-objective computation offloading method based on improved fast and elitist genetic algorithm for selecting the optimal offloading strategies. Finally, compared with other methods, numerous experiments proved that our proposed method have advantages in effectiveness and efficiency. © 2020, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Energy utilization

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Optical Properties of Chiral Three-Dimensional Photonic Crystals made from Semiconductors

arXiv

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arXiv 2022年

作者： Takahashi, Shun Tajiri, Takeyoshi Arakawa, Yasuhiko Iwamoto, Satoshi Vos, Willem L. Kyoto Institute of Technology Matsugasaki Sakyo-ku Kyoto606-8585 Japan Department of Computer and Network Engineering The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Institute for Nano Quantum Information Electronics The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8505 Japan Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8505 Japan Institute of Industrial Science The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8505 Japan MESA+ Institute for Nanotechnology University of Twente P.O. Box 217 Enschede 7500 AE Netherlands

We perform a theoretical and numerical study of the optical properties of both direct and inverse three-dimensional (3D) chiral woodpile structures, and a corresponding chiral Bragg stack. We compute transmission spectra in the helical direction for finite crystals, and photonic band structures, where we ensure the effective index of all structures to be the same. We find that both 3D structures show dual-band circular dichroism, where light with a particular circular polarization state - either left- or right-handed - reveals a broad stop band with major attenuation, whereas the other polarization state is transmitted nearly unimpeded. We observe such gaps in different frequency ranges, with alternating handedness. The appearance of the circular-polarized gaps is successfully interpreted with a physical model wherein the circular polarization either co-rotates or counter-rotates with the chiral structure, thereby effectively leading to a spatially-dependent or a constant refractive index, and thus to the presence or absence of a gap. We find that the presence or absence of circularly polarized gaps is tuned by the transverse periods perpendicular to the chiral axis in both the 3D direct and inverse chiral woodpile crystal structures. The tunability of circular dichroism may find applications as on-chip sensors for circularly polarized light and in the on-chip detection of chiral molecules. © 2022, CC BY.

关键词： Dichroism

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Transformerless high step-up DC–DC converter with voltage multiplier concept

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AIP Conference Proceedings 2023年第1期2690卷

作者： Rajesh Kumar Patnaik A. Saravanan Keshav Patidar C. Jeeva E. Shiva Prasad Ganeshaperumal Dharmaraj 1Department of Electrical and Electronics Engineering GMR Institute of Technology Rajam Andhra Pradesh 532127 India 2Department of Mechanical Engineering Kongu Engineering College Perundurai Erode-638060 Tamil Nadu India 3Department of Electronics and Communication Engineering Indore institute of Science and technology Indore–453331 Madhya Pradesh India 4Department of Electrical and Electronics Engineering Sri Sai Ram Engineering College Chennai Tamil Nadu–600044 India 5Department of Electrical & Electronics Engineering Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology Hyderabad - 500090 Telangana India 6Department of Computer Science Engineering Kalasalingam Academy of Research and Education Krishnankoil Srivilliputhur - 626128 Tamil Nadu India

This paper includes a Cockcroft-Walton (CW) high phase dc-dc voltage transition based on multiplier, with no step-up transformer. The suggested conversion approach is very appropriate for low-input dc generating systems with continuous input current on a switch, diode or condenser with a low rib, high voltage and low voltage. In this article two frequencies in the suggested control techniques are used, one works with high frequencies in order to reduce the inductor size, the other works with a comparatively low frequency based on the rip of the target voltage.

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Students’ satisfaction levels of an immersive extended reality for engine assembly tasks in engineering empirical education

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AIP Conference Proceedings 2023年第1期2968卷

作者： Lai Lai Win Faieza Abdul Aziz Abdul Aziz Hairuddin Lili Nurliyana Abdullah Hwa Jen Yap Hideo Saito Norhisham Seyajah Department of Mechanical and Manufacturing Engineering Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. Department of Automotive Technology (Maintenance) Japan-Myanmar Aung San Vocational Training Institute 11011 Insein Yangon Myanmar. Department of Multimedia Faculty of Computer Science and Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. Department of Mechanical Engineering Faculty of Engineering University of Malaya 50603 Kuala Lumpur Malaysia. Department of Information and Computer Science Keio University 3-14-1 Hiyoshi Kohoku-Ku Yokohama 223-8522 Japan. Department of Engineering Technology Universiti Kuala Lumpur Malaysia Italy Design Institute (UniKL MIDI) 56100 Wilayah Persekutuan Kuala Lumpur Malaysia.

Extended reality (XR) refers to a technological group namely Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). While the operator cannot view the actual environment in VR, AR can allow him to view the actual surroundings with superimposed virtual items. However, MR is anything in between VR and AR. The Microsoft Hololens headset is a key contributor by focusing on MR technology and it is expensive. Therefore, this research proposes especially for proper investment using VR and AR platforms for complicated motorcycle engine assembly. Consequently, the authors built a fully immersive VR platform using Unreal Engine and HTC Vive. Two AR (marker-less and marker-based) platforms were also developed using Unity 3D and EPSON MOVERIO BT-300. Fourteen students from engineering education participated in the four experiments, which were separated into four groups: (i) video, (ii) VR, (iii) marker-less AR, and (iv) marker-based AR. All participants were then requested to complete all experiments to test their satisfaction levels. In comparison, the outputs showed that the marker-less AR was 34.4% superior, followed by the VR (31.6% superior), and finally the marker-based AR (14.4% superior) to the video-based method. In addition, students prefer the immersive XR (VR and AR) platforms to perform the engine assembly properly.

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A Multi-objective Computation Offloading Method for Hybrid Workflow Applications in Mobile Edge Computing 9th

A Multi-objective Computation Offloading Method for Hybrid W...

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9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019

作者： Peng, Kai Zhao, Bohai Qian, Xingda Xu, Xiaolong Zheng, Lixin Leung, Victor C. M. College of Engineering Huaqiao University Quanzhou China Fujian Provincial Academic Engineering Research Center in Industrial Intellectual Techniques and Systems Quanzhou China Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Nanjing University of Science and Technology Nanjing210094 China Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada

ISBN: (纸本)9783030485122

Computation offloading has become a promising method to overcome intrinsic defects of portable smart devices, such as low operating speed and low battery capacity. However, it is a challenge to design an optimized strategy as the edge server is resource-constrained and the workflow application has timing constraints. In this paper, we investigated the hybrid workflow application computation offloading issue, which further increases the difficulty. According to the analysis of theory and consideration of time consumption and energy consumption, we establish a multi-objective optimization model to solve the issue. Furthermore, we propose a method based on particle swarm optimization algorithm for multi-objective computation offloading to get the optimal strategy for tasks offloading, which is suitable for all the hybrid workflow applications. Finally, extensive experiments have verified the effectiveness and efficiency of our proposed method. © 2020, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Energy utilization

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Calibration of Flux Crosstalk in Large-Scale Flux-Tunable Superconducting Quantum Circuits

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PRX Quantum 2021年第4期2卷 040313-040313页

作者： X. Dai D.M. Tennant R. Trappen A.J. Martinez D. Melanson M.A. Yurtalan Y. Tang S. Novikov J.A. Grover S.M. Disseler J.I. Basham R. Das D.K. Kim A.J. Melville B.M. Niedzielski S.J. Weber J.L. Yoder D.A. Lidar A. Lupascu Institute for Quantum Computing and Department of Physics and Astronomy University of Waterloo Waterloo Ontario N2L 3G1 Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo Ontario N2L 3G1 Canada Northrop Grumman Corporation Linthicum Maryland 21090 USA MIT Lincoln Laboratory 244 Wood Street Lexington Massachusetts 02421 USA Departments of Electrical & Computer Engineering Chemistry and Physics and Center for Quantum Information Science & Technology University of Southern California Los Angeles California 90089 USA Waterloo Institute for Nanotechnology University of Waterloo Waterloo Ontario N2L 3G1 Canada

Magnetic flux tunability is an essential feature in most approaches to quantum computing based on superconducting qubits. Independent control of the fluxes in multiple loops is hampered by crosstalk. Calibrating flux crosstalk becomes a challenging task when the circuit elements interact strongly. We present a novel approach to flux crosstalk calibration, which is circuit model independent and relies on an iterative process to gradually improve calibration accuracy. This method allows us to reduce errors due to the inductive coupling between loops. The calibration procedure is automated and implemented on devices consisting of tunable flux qubits and couplers with up to 27 control loops. We devise a method to characterize the calibration error, which is used to show that the errors of the measured crosstalk coefficients are all below 0.17%.

关键词： Adiabatic quantum optimization Quantum information architectures & platforms Quantum information processing Superconducting qubits

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Paragraph summarization based on word frequency using NLP techniques

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AIP Conference Proceedings 2021年第1期2317卷

作者： G. Kiran Kumar D. Malathi Rani 1Department of Information Technology MLR Institute of Technology Hyderabad India 2Department of Electronics and Communications Engineering Marri Laxman Reddy Institute of Technology and Management Hyderabad India

Extracting the main points from a long passage is a big problem. We come across hundreds of passages in our professional life daily, if they are small and concise then that's good but if there is a passage of 100 plus lines which could be condensed and delivered or explained it in a few lines it would be more excellent time-saving effortless stress-free work. We all know the essence of any paragraph can be described in just a few necessary sentences whereas the passages need more grammatical content and sentence formation which makes the passages so long. So in this paper, a new method for paragraph summarization is presented. There is continuous research and new methods are being implemented and tested to make the machine to be able to understand the text and take respective actions. In this paper, we used word frequency algorithms and NLTK methods and functions to extract the main points from a paragraph and made it available in desired language audio formats. Several novels/books are being released in audio format for ease of understanding and some websites, as well as YouTube channels, are present over the internet to explain the essence of the novels/books. There are so many passages which have a lot to read and understand but could be made simple.

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Stock prediction & recommendation system using KNN and linear regression

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AIP Conference Proceedings 2022年第1期2555卷

作者： Rishab Mamgai Harsh Jain Yash Aithani Vasu Bansal Preeti Nagrath Rachna Jain Ashish Kumar Amrita Chaudhary 1)Electronics and Communication Engineering Department Bharati Vidyapeeth’s College of Engineering New Delhi India 2)Information Technology Department Bharati Vidyapeeth’s College of Engineering New Delhi India 3)Computer Science and Engineering Department Chandigarh University Punjab India

Machine learning is a method of data analysis which tries to find a pattern in a data set by analysing the features of the various data points present. Since, there are so many datasets available, learning data analysis will become a necessary condition for the advancement of the technology. People who invest their money have to come across the hurdle of predicting day-to-day prices, which helps them invest in the stock market honestly by taking risks and variations in assumptions. In this project, we will use the KNN method and direct retrospective analysis of stocks and predict their closing value based on previous year’s performance. Linear Regression performs better than KNN on selected dataset. On the basis of the model’s outcomes, people can buy/sell stocks accordingly. The report sets out the process for analysing and estimating stock prices over the past year. This approach consists of three steps, namely, data collection and integration, data classification, analysis and prediction. After data classification, linear regression is used to analyse trends within each collection. The results from the model are analysed along with the other practical trading methods. Despite the volatile nature, the efforts of using machine learning for analysis and prediction showed some success. For much more enhanced prediction system, further analysis of results could help. The proposed method is not only limited to stock trading but can also be applied for trend analysis in any time series data.

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Investigation of effect of mass on performance of suspension system using quarter car test rig

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AIP Conference Proceedings 2023年第1期2427卷

作者： Pravin Hujare Sandeep Kore Deepak Hujare Umesh Chavan Aarohi Yemde 1Department of Mechanical Engg. Vishwakarma Institute of Information Technology SPPU Pune India 2School of Mechanical Engg Dr. Vishwanath Karad MIT World Peace University Pune India. 3Department of Mechanical Engg. Vishwakarma Institute of Technology Pune India. 4Sinhgad Academy of Engineering Pune India

The main purpose of the suspension system is to absorb the vibrations from wheels. To compromise between the two conflicting criteria i.e. road holding and ride comfort, passive suspension system is most suitable. The passenger discomfort is caused due to unwanted vibrations which are transmitted through unsprung mass. The numerical analysis using Simulink MATLAB software is used to determine Ride comfort of two suspension systems based on quarter car model. The experimental setup is developed and vibration analysis is performed using multichannel FFT analyser. The mathematical analysis result of the two different models of the suspensions is compared with experimental analysis. The aim of paper is to investigate effect of sprung mass on ride comfort at constant speed with input 0.1m peak stroke which generated a waveform resembling to half sine wave. The mathematical model is developed and analysed in Simulink MATLAB software.

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Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications

Approximate Arithmetic Circuits: A Survey, Characterization,...

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作者： Jiang, Honglan Santiago, Francisco Javier Hernandez Mo, Hai Liu, Leibo Han, Jie Institute of Microelectronics Tsinghua University Beijing100084 China Intel Zapopan45017 Mexico Institute of Microelectronics Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada

Approximate computing has emerged as a new paradigm for high-performance and energy-efficient design of circuits and systems. For the many approximate arithmetic circuits proposed, it has become critical to understand a design or approximation technique for a specific application to improve performance and energy efficiency with a minimal loss in accuracy. This article aims to provide a comprehensive survey and a comparative evaluation of recently developed approximate arithmetic circuits under different design constraints. Specifically, approximate adders, multipliers, and dividers are synthesized and characterized under optimizations for performance and area. The error and circuit characteristics are then generalized for different classes of designs. The applications of these circuits in image processing and deep neural networks indicate that the circuits with lower error rates or error biases perform better in simple computations, such as the sum of products, whereas more complex accumulative computations that involve multiple matrix multiplications and convolutions are vulnerable to single-sided errors that lead to a large error bias in the computed result. Such complex computations are more sensitive to errors in addition than those in multiplication, so a larger approximation can be tolerated in multipliers than in adders. The use of approximate arithmetic circuits can improve the quality of image processing and deep learning in addition to the benefits in performance and power consumption for these applications. © 1963-2012 IEEE.

关键词： Deep neural networks

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