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A Novel Decentralized Coordination Control Scheme for the Complex Transactive Energy Prosumers

A Novel Decentralized Coordination Control Scheme for the Co...

引用

Energy, Power, Environment, Control, and Computing (ICEPECC), International Conference on

作者： Muhammad Ikram Zakir Ullah Muhammad Nasir Salman Ahmed Safdar Nawaz Khan Marwat Dept. of Computer Systems Engineering University of Engineering and Technology Peshawar Pakistan Dept. of Electrical Power Engineering University of Engineering and Technology Peshawar Pakistan Deptment of Physics Allama Iqbal Open University Islamabad Pakistan

The significant penetration of renewable energy sources (RES) in the smart grid (SG) provides a new landscape for researchers to develop an optimal energy management model. The households with RES become prosumers to provide the surplus energy in the local community. The coordination and control of such RES prosumers are important to estimate the available energy in the system and the total demand required. In this paper, we proposed a decentralized coordination control approach for transactive energy systems (TES). The proposed TES is capable of coordinating and controlling a complex network of prosumers with limited control information. The consensusability and graph-theoretic schemes are used for prosumer RES nodes. In the proposed model, energy trading among large-scale prosumers has been demonstrated. The algorithm is capable to provide the total surplus energy available across the network and total demand in an autonomous fashion. The coordination control among prosumers is achieved through a computationally efficient approach without sharing the prosumer’s profile to preserve the security and privacy of the prosumers. To validate the proposed scheme, we perform extensive simulations on decentralized 450 prosumers. The resiliency of the proposed scheme is confirmed through dynamic and contingent communication topologies for energy trading ratios, cumulative returns, and convergence ratios. The cumulative returns improved from 0.447% to 24.8% while the energy trade among the prosumers recorded from -0.89 to 2.09. The final return is enhanced from −1.95% to 22.3% due to internal and external coordination control of nonlinear loads.

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Design of a Respiration Imitator for a Breathable Soft Robot 19

Design of a Respiration Imitator for a Breathable Soft Robot

引用

19th International Conference on electrical engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON 2022

作者： Kitmuti, Tanapon Sukvichai, Kanjanapan Hasegawa, Shoichi Intarapanich, Apichart Kasetsart University Dept. of Electrical Engineering Bangkok Thailand Tokyo Institute of Technology Precision and Intelligence Laboratory Tokyo Japan National Science and Technology Development Agency National Electronics and Computer Technology Center Phatumthani Thailand

ISBN: (纸本)9781665485845

Insomnia affected human productivity and cause long term health problems. Sleeplessness mostly cause by stress especially in adults. The synchronized breathing between two human or between human and animal could reduce stress. But having a real animal was impractical in many situations, thus, the soft animal robot could be developed to be a human companion. In this research, the soft-stuffed breathable doll was introduced. Robot respiration imitator was designed to mimic the real breathing mechanism by using artificial ribs and spine created from 3D materials. The materials were selected using the flexibility and rigidity properties from simulations, by considering the several 3D printable materials. Robot ribs were created from TPFE material while the imitator core was constructed from ABS material. The Maxon DC motor was used as the imitator actuator in order to crate sophisticate breathing motion. The magnetic encoder was attached to the motor for a precise control. The repository imitator was experimented before and after installed into the soft bear doll skin. The cushion was wrapped around the imitator for safety and good feeling when the robot was hugged. The experiments showed that the designed repository system worked properly for desired motions. © 2022 IEEE.

关键词： Animals

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Persian Web Document Retrieval Corpus

Persian Web Document Retrieval Corpus

引用

Iran Workshop on Communication and Information Theory (IWCIT)

作者： Erfan Zinvandi Morteza Alikhani Zahra Pourbahman Reza Kazemi Arash Amini Electrical Engineering Department Sharif University of Technology Tehran Iran Computer Engineering Department Amirkabir University of Technology Tehran Iran Electronic Research Center Sharif University of Technology Tehran Iran Electrical Engineering Dept. Sharif University of Technology Tehran Iran

ISBN: (数字)9798350387094

ISBN: (纸本)9798350387100

In this paper, we present a Persian dataset designed specifically for the task of text information retrieval through the web. Unlike most available datasets, we incorporate real-world user queries in this dataset distinguishing it from the existing ones in the field. We believe this dataset serves as a valuable resource for researchers and practitioners involved in the development and evaluation of information retrieval systems tailored for the Persian language. Besides the 951 anonymized Persian queries collected by the Zarebin search engine, this dataset consists of documents from the web retrieved based on the queries by both Google and Zarebin search engines. Another interesting feature is that the relevance of each retrieved document to the original query is human annotated. Overall, this corpus consists of 18568 pairs of query and document, each with a relevant/irrelevant tag 1 .

关键词： Conferences Search engines Internet Task analysis Information theory

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Design and Evaluation of a Low-profile Haptic Interface Based on Surface electrical Nerve Stimulation

Design and Evaluation of a Low-profile Haptic Interface Base...

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Telepresence, IEEE Conference on

作者： Rachel S. Jakes Luis Mesias Veronica J. Santos Michael J. Fu Dustin J. Tyler Human Fusions Institute (HFI) Case Western Reserve University (CWRU) Dept. of Biomedical Engineering CWRU Dept. of Electrical Computer and Systems Engineering CWRU Dept. of Mechanical and Aerospace Engineering University of California Los Angeles (UCLA) Dept. of Physical Medicine & Rehabilitation The MetroHealth System Dept. of VA Northeast Ohio Healthcare System Advanced Platform Technology Center

ISBN: (数字)9798331528249

ISBN: (纸本)9798331528256

Haptic feedback in telepresence applications is vital for remote task performance and object manipulation. To maximize telepresence capabilities, haptic systems need to be integrated with immersive telepresence interfaces such as virtual reality, which offer benefits such as improved spatial awareness and operator mobility. Compatibility with the mobility of these systems and their built-in optical hand tracking require low-profile wearable interfaces. Further, for full functional benefits, haptic systems must be able to elicit spatially congruent sensation without impeding operator movement and physical object interactions. In this paper, we describe the design of a lightweight, compact, and adaptable surface electrical nerve stimulation-based haptic interface. We demonstrate its capacity to consistently generate spatially congruent sensation on the all five fingertips without occlusion, as well as its compatibility with headset-based optical hand tracking.

关键词： Hands Telepresence Tracking Stimulated emission Optical feedback Virtual reality electrical stimulation Haptic interfaces Optical sensors

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Data Security Enhancement in Cloud Computing by Proposing A DKE Encryption Protocol 23

Data Security Enhancement in Cloud Computing by Proposing A ...

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Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications

作者： Sahar Ebadinezhad Halmat Ayub Abdulmajed Department of Computer Information Systems Near East University North Cyprus and Computer Information Systems Research and Technology Center (CISRT) Near East University North Cyprus Dept. Engineering and Computer Systems Lebanese French University (LFU) Iraq

ISBN: (纸本)9798400708268

This study uses cryptography to tackle the important problem of data security in cloud computing. Two keys are used in the Dual Key Encryption (DKE) method for both encryption and decryption. DKE employs a public key for the first encryption round before cloud upload and a user-only private key for the second round of encryption. Decryption operates oppositely. When tested and simulated with different file sizes on a CloudAnalyst simulator, DKE operates faster and more efficiently than cryptographic methods such as Triple DES (3DES), AES, RSA, and DES. Thanks to developments in information technology, cloud computing has made several services available online. Data security assurance is still very difficult to achieve, nevertheless. In this context, cryptography is essential and has led to the creation of the novel DKE technology. This technology is not only far more efficient than well-known cryptographic techniques such as 3DES, but it also improves data security.

关键词： Cloud Services Cryptography Data Integrity Data Security Dual Key Encryption

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User Models for Connected Personalized Avatars for Cultural Heritage Experiences 25

User Models for Connected Personalized Avatars for Cultural ...

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Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

作者： Alan Jay Wecker Antonio Origlia Tsvi Kuflik Information Systems The University of Haifa Haifa Israel URBAN/ECO Research Center Dept. of Electrical Engineering and Information Technology Federico II University Naples Italy

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Drive Stabilization of Multi-Degree-of-Freedom Maglev Planar Motor Based on Closed Loop System Identification

Drive Stabilization of Multi-Degree-of-Freedom Maglev Planar...

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International Conference on Mechatronics (ICM)

作者： Keigo Nakata Wataru Ohnishi Takafumi Koseki Yuichiro Nakamura Kenji Takahashi Hiroyuki Sekiguchi dept. of Electrical Engineering and Information systems The University of Tokyo Tokyo Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Hyogo Japan

ISBN: (数字)9798331533892

ISBN: (纸本)9798331533908

Magnetic levitation planar motor can move at high speed and with high accuracy, and prevent vibration and noise because of no friction. This technology leads to the application of a transport system that requires high-speed and high-precision movement. However, the design of appropriate control algorithms is essential to achieve stability and high-speed, high-precision control of the maglev planar motor. In this research, we stabilized a maglev planar motor on the basis of system identification. Initially, we designed a whole control system for the movement of the maglev planar motor. Furthermore, we conducted system identification and verified that the maglev planar motor works with the designed control system and evaluated its motion performance. Through experiments, it was confirmed that accurate motion control was possible. This research is expected to be a basis for improving control performance soon.

关键词： Vibrations Accuracy Tracking Noise Position control Stability analysis Robustness System identification Planar motors Closed loop systems

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Computationally Efficient Predictive Control Based on ANN State-Space Models

Computationally Efficient Predictive Control Based on ANN St...

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IEEE Conference on Decision and Control

作者： Jan H. Hoekstra Bence Cseppento Gerben I. Beintema Maarten Schoukens Zsolt Kollár Roland Tóth Dept. of Electrical Engineering at the Eindhoven Control Systems group University of Technology The Netherlands Dept. of Measurement and Information Systems Budapest University of Technology and Economics Hungary Institute for Computer Science and Control Budapest Hungary

Artificial neural networks (ANN) have been shown to be flexible and effective function estimators for the identification of nonlinear state-space models. However, if the resulting models are used directly for nonlinear model predictive control (NMPC), the resulting nonlinear optimization problem is often overly complex due to the size of the network, requires the use of high-order observers to track the states of the ANN model, and the overall control scheme does not exploit the available autograd tools for these models. In this paper, we propose an efficient approach to auto-convert ANN statespace models to linear parameter-varying (LPV) form and solve predictive control problems by successive solutions of linear model predictive problems, corresponding to quadratic programs (QPs). Furthermore, we show how existing deep-learning methods, such as SUBNET that uses a state encoder, enable efficient implementation of MPCs on identified ANN models. Performance of the proposed approach is demonstrated by a simulation study on an unbalanced disc system.

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EHR based Prediction and Diet Recommender For Diabetes using Blockchain

EHR based Prediction and Diet Recommender For Diabetes using...

引用

Smart Technologies and systems for Next Generation Computing (ICSTSN), International Conference on

作者： Poonguzhali N N. Amarabalan School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi India Dept. of Electrical and Electronics Engineering Manakula Vinayagar Institute of Technology Puducherry India

ISBN: (数字)9798350391565

ISBN: (纸本)9798350391572

Diabetes is an illness which is triggered due to high blood sugar levels. Ignoring diabetes is undesirable since the condition can have adverse impacts on the heart, kidneys, cholesterol levels, eyes, and almost all other organs. Diabetes will be easier to manage the earlier it is detected. To do this, researchers use a variety of machine learning techniques to more accurately forecast the onset of early diabetes in human bodies or in its patients. By constructing models using datasets that are available, machine learning techniques produce more accurate predictions. In the proposed work, Random Forest Algorithm is used to predict diabetes, as this technique outperforms in terms of accuracy. Individuals with diabetes, maintaining an appropriate diet is crucial. The majority of them aim to assist users in managing their blood sugar levels. A person’s weekly meal preparation habits can be attributed to a myriad of intersecting elements, such as taste, healthfulness, financial constraints, personal preferences, and lifestyle. An individual might experience it difficult to choose what to eat. To assist with the management of diabetes, the proposed system advises using a customized meal planning strategy. The diet plan suggested in the system is based on decision tree technique which is diabetic-friendly that is also socially, economically, and culturally acceptable and that can satisfy all nutritional needs while being mindful of calories. Following the prediction of diabetes and the suggestion of a diet plan, the patient’s medical information is stored in the EHR for convenient access.

关键词： Heart Accuracy Machine learning algorithms Predictive models Prediction algorithms Diabetes Blockchains

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Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements 36

Digital Map Generation Workflow Demonstrated on ZalaZONE Aut...

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36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023

作者： Somogyi, Árpád Tettamanti, Tamás Varga, Pál Szalay, Zsolt Baranyai, Dániel Lovas, Tamás Budapest University of Technology and Economics Fac. of Civil Engineering Dept. of Photogrammetry and Geoinformatics Budapest Hungary Institute for Computer Science and Control The Eötvös Loránd Research Network Systems and Control Laboratory Budapest Hungary Budapest University of Technology and Economics Fac. of Electrical Engineering and Informatics Dept. of Telecommunications and Media Informatics Budapest Hungary Budapest University of Technology and Economics Fac. of Transportation Eng. and Vehicle Eng. Dept. of Automotive Technologies Budapest Hungary

ISBN: (纸本)9781665477161

One major goal of digital twin technology applied in the Architecture, engineering, and Construction (AEC) Industry is the mapping of roads and road environments with their associated information. Such digital twins can support cost-effective testing, simulations, and the production of mapping backgrounds for automated vehicles and generally for Cooperative, Connected and Automated Mobility (CCAM) developments. The efficient workflow that leads from data acquisition to finished products depends on a number of requirements and knowledge sets. The main contribution of the paper is a general methodology of creating HD-map from point cloud and image data set. Accordingly, the most widely used survey techniques are presented and the requirements for the objects to be derived are summarized. The paper then outlines a general implementation procedure as an expert knowledge through a real-life example, where the results obtained for the ZalaZONE Automotive Proving Ground are demonstrated. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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