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First Demonstration of HZO-LNOI Integrated Ferroelectric Electro-Optic Modulator and Memory to Enable Reconfigurable Photonic Systems

First Demonstration of HZO-LNOI Integrated Ferroelectric Ele...

引用

2023 International Electron Devices Meeting, IEDM 2023

作者： Xu, Zefeng Chen, Chun-Kuei Lin, Hong-Lin Gao, Yuan Ke, Wei Xu, Baochang Dmitriev, Pavel Arbiz, Carlan Zamburg, Evgeny Touzard, Steven Cai, Xinlun Lee, James Venkatesan, Suresh Danner, Aaron Thean, Aaron Voon-Yew Department of Electrical and Computer Engineering Singapore Nus Graduate School Integrative Sciences and Engineering Program Singapore 117583 Singapore School of Electronics and Information Technology 117583 Singapore Centre for Quantum Technologies Nus Singapore Poet Technologies Canada Sun Yat-Sen University 510275 China

ISBN: (纸本)9798350327670

We have successfully demonstrated, for the first time, an innovative back-end-of-line (BEOL) compatible electro-optic modulator and memory (EOMM) based on Lithium Niobate on Insulator (LNOI) micro-ring resonator (MRR) integrated with Ferroelectric Hafnium Zirconate Hf0.5Zr0.5O (HZO) non-volatile analog memory. High non-volatile memory and modulation performances are both achieved in a single compact device, exhibiting high extinction ratio of 13.3 dB, excellent efficiency of 66pm/V, stable nine-state switching, record-high endurance exceeding 109 cycles. This is accomplished by utilizing Pockels effect in LNOI, induced by electric-field effect from remnant HZO ferroelectric polarization. We studied the system implementation of reconfigurable chiplet-interposer photonic interconnect, enabled by the EOMM and EOMM with hybrid thermal-optical modulation. Our model shows a potential 70% energy efficiency improvement over conventional electrical interposer interconnect. We have also tested the integration of the EOMM with POET technologies' 400G Tx/Rx optical interposer chip and studied a limited scale demonstration of the EOMM device. © 2023 IEEE.

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EVALUATION OF THE METAL OXIDE SURGE ARRESTERS DEGRADATION BASED ON THE LOSS TANGENT 22

EVALUATION OF THE METAL OXIDE SURGE ARRESTERS DEGRADATION BA...

引用

22nd International Symposium on High Voltage engineering, ISH 2021

作者： Barbosa, Vandilson R.N. Costa, Edson G. Leite Neto, Antônio F. Carvalho, Itaiara F. Castro, Patrício F. Souza, João P.C. Melo, João V.J. Lira, George R.S. Electrical Engineering Graduate Program Campina Grande Brazil Department of Electrical Engineering Federal University of Campina Grande Campina Grande Brazil

ISBN: (纸本)9781839536052

Metal Oxide Surge Arresters (MOSAs) are equipment used to protect equipment of electrical Power Systems (EPSs). In this work, a technique is proposed to assess the level of MOSAs degradation based on the loss tangent calculation. The degradation of surge arresters, as well as other electrical equipment, can also be assessed by means of the loss tangent that varies with the voltage and the level of degradation. Thus, its value tends to increase according to the time of use of the equipment. A high value of the loss tangent is indicative of a failure. For the development of the proposed technique, tests in a high voltage laboratory were carried out in order to build a database. In these tests, different operating conditions were simulated to verify the behavior of the loss tangent curve, considering the surge arrester as being in good and defective condition. Based on the values obtained in the tests, it was observed that for each operational state of the evaluated components, different curves of the loss tangent were obtained, in addition to verifying that the more degraded the surge arrester is, the greater the value of the loss tangent. Thus, the loss tangent can be used to assess the operational condition of the MOSAs. © 2021 The Institution of engineering and Technology.

关键词： Metals

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Design and Strategy Deployment of SD-WAN Technology: In Indonesia (Case Study: PT. XYZ)

Design and Strategy Deployment of SD-WAN Technology: In Indo...

引用

2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021

作者： Pratiwi, Wiwi Gunawan, Dadang Universitas Indonesia Graduate Program of Telecommunication Management Department of Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9781665438650

For large companies with branch offices spread across various regions, it is not enough to rely on traditional wide area network (WAN) technology to connect networks between data centers, head offices, and branch offices that are far apart. This is because traditional WAN operation requires many devices with their own complexities. SDN is a method that separates the Control Plane and the Forwarding Plane. In a traditional network, the two functions above are in the same device. One of the SDN technologies on the network is SD-WAN. Another problem in traditional network is WAN infrastructure primarily uses MPLS, which can be very expensive and has limited bandwidth. With the increasing volume of data, MPLS costs can be quite high the expensive cost. PT. XYZ as a banking company that has branches scattered everywhere must pay attention to this. This paper proposes the suitable design and implementation scenario of SD-WAN technology at PT. XYZ so that the existing network can be integrated. From the proposed design, it can be shown that SD-WAN technology is able to answer the weaknesses of traditional WANs in terms of ease of monitoring, cost efficiency, and flexibility © 2021 IEEE.

关键词： Wide area networks

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Channel Modeling for Ultraviolet Non-Line-of-Sight Communications Incorporating an Obstacle

Channel Modeling for Ultraviolet Non-Line-of-Sight Communica...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Wu, Tianfeng Yang, Fang Cao, Tian Cheng, Ling Chen, Yupeng Song, Jian Cheng, Julian Han, Zhu Xidian University School of Telecommunications Engineering Xi'an710071 China University of the Witwatersrand School of Electrical and Information Engineering Johannesburg2000 South Africa Southern University of Science and Technology School of Microelectronics Shenzhen518055 China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Beijing100084 China Tsinghua University Shenzhen International Graduate School Shenzhen518055 China The University of British Columbia School of Engineering KelownaBCV1V 1V7 Canada University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States

ISBN: (纸本)9798350351255

Existing studies on ultraviolet (UV) non-line-of-sight (NLoS) channel modeling primarily focus on scenarios without any obstacle, which makes them unsuitable for small transceiver elevation angles in most cases. To address this issue, a UV NLoS channel model incorporating an obstacle was investigated in this paper, where the impacts of atmospheric scattering and obstacle reflection on UV signals were both taken into account. To validate the proposed model, we compared it to the related Monte-Carlo photon-tracing (MCPT) model that had been verified by outdoor experiments. Numerical results manifest that the path loss curves obtained by the proposed model agree well with those determined by the MCPT model, while its computation complexity is lower than that of the MCPT model. This work discloses that obstacle reflection can effectively reduce the channel path loss of UV NLoS communication systems. © 2024 IEEE.

关键词： Communication channels (information theory)

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Balancing Dual DC Voltage Control in Quasi Single-Stage Converter for Low-Voltage Energy Storage System Grid-Connected

Balancing Dual DC Voltage Control in Quasi Single-Stage Conv...

引用

International Conference on electrical engineering/electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Warissara Manokum Yuttana Kumsuwan Department of Electrical Engineering Graduate Program in Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Provincial Electricity Authority Bangkok Thailand Department of Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand

The aim of a bidirectional quasi single-stage converter (QSSC) for low-voltage energy storage systems that are grid-connected is to reduce the power conversion stage of the dc-dc converter, which results in improved overall efficiency. The QSSC configuration relies on a modified modulation strategy due to the unequal dual dc port (upper and lower dc ports) voltage. The control for ensuring that the dual dc port voltages are equal is presented in this paper. When the lower dc port is varied in response to battery voltage, another is controlled to track in response to the lower dc port, so that the voltage ratio between the upper and lower dc port is always equal to one. Furthermore, power sharing in a dual dc port is equal, which means that a dc-dc converter automatically operates at 50% of the battery power. Thus, the existing modulation can be used and the power stage conversion of the dc-dc converter can be decreased. The proposed control for the QSSC is verified with simulation results.

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Higher-order Bloch sphere: geometric representation of Larmor precession of the higher-order spin states

Higher-order Bloch sphere: geometric representation of Larmo...

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022

作者： Sato, Sota Matsumoto, Toshiki Iba, Satoshi Miyamoto, Katsuhiko Omatsu, Takashige Morita, Ken Graduate School of Science and Engineering Chiba University Japan Department of Electrical and Electronic Engineering Chiba University Japan Research Center for Emerging Computing Technologies National Institute of Advanced Industrial Science and Technology Japan

We propose an analogous sphere, herein referred a higher-order Bloch sphere (HOBS), to visualize the Larmor precession of higher-order spin. Our proposed HOBS is potentially applied to advanced quantum information pro... 详细信息

关键词： Spheres

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Analysis of the Need for Passengers' Connectivity Aboard the Ship by using Kano Model

Analysis of the Need for Passengers' Connectivity Aboard the...

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2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021

作者： Pardomuan, Remon Suryanegara, Muhammad Universitas Indonesia Graduate Program in Telecommunications Management Department of Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9781665438650

This paper aims to analyze passenger needs for network connectivity on the ship during traveling at the shipping line of Indonesian XYZ Company. The current connectivity infrastructure on board is supported by VSAT technology, but limited only for the ship's crew. Meanwhile, the passengers have difficulty to connect mobile cellular services while sailing. Therefore, providing the service over such a connectivity to the passengers can be an added values for the XYZ Company. This study uses Kano Model of the 11 attributes, and collect a primary data from 138 passengers sailing at PQR ship. It results recommendations portraying the passenger's need for shipping telecommunications during the sailing trip. © 2021 IEEE.

关键词： Ships

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Vehicle Wheel Hub Recognition Method Based on HOG Feature Extraction and SVM Classifier 14

Vehicle Wheel Hub Recognition Method Based on HOG Feature Ex...

引用

14th International Conference on Information Technology and electrical engineering, ICITEE 2022

作者： Wang, Bin Juanatas, Ronaldo Niguidula, Jasmin Anhui Technical College of Mechanical and Electrical Engineering Internet and Communications Department Wuhu China Technological University of the Philippines Graduate Program and External Studies Manila Philippines

ISBN: (数字)9781665460774

ISBN: (纸本)9781665460774

In order to avoid the problems of low accuracy of wheel hub recognition and classification and excessive dependence on template image quality in the process of automatic production of the automobile wheel hub, a vehicle wheel hub recognition method based on Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) is proposed. Firstly, the wheel hub images under three different lighting conditions are collected, and the wheel hub images are processed in grayscale;Secondly, the positive and negative samples are made, and hog features are extracted, respectively;Finally, the extracted hog features are trained by SVM classifier, and the trained target classifier is used to recognize the wheel hub photos under three different lighting conditions. The experimental results show that this method has higher recognition accuracy than the traditional template matching method under different lighting conditions. © 2022 IEEE.

关键词： Support vector machines

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Higher-order Bloch sphere: geometric representation of Larmor precession of the higher-order spin states

Higher-order Bloch sphere: geometric representation of Larmo...

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022

ISBN: (纸本)9798350350012

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Application of Artificial Neural Network Method for Forecasting Weekly Electricity Load Based on Daily Pattern Classification

Application of Artificial Neural Network Method for Forecast...

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Computer System, Information Technology, and electrical engineering (COSITE), International Conference on

作者： Husni Ramzi Adriman Ira Devi Sara Rio Syahputra Graduate program of Electrical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh Aceh Department of Electrical and Computer Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh Aceh

Accurate weekly electricity load prediction is of utmost importance for electricity providers to ensure uninterrupted power supply to customers. This study applies an Artificial Neural Network (ANN) to achieve precise weekly electricity load prediction. The dataset used for the ANN model consists of three months’ worth of data, including daily workload profiles, holiday work profiles, temperature, and humidity. For model training, 90% of the data is utilized with the Levenberg-Marquardt algorithm, while the remaining 10% is used for testing. The Mean Average Percentage Error (MAPE) is employed as the error metric. Based on the test results, the weekly load prediction error rate using ANN is determined to be 1.78% based on the MAPE value.

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