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61-3: Method for Controlling Surface Energy of Bank Surfaces to Fabricate High-Thickness Inkjet-printed Qd Color Conversion Layer

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SId Symposium digest of Technical Papers 2023年第1期54卷

作者： Sang Youn Lee Chun Sakong Kyung-Tae Kang Byeong-Kwon Ju Kwan Hyun Cho Digital Transformation R&D Dept. Korea Institute of Industrial Technology Dept. of Micro/Nano Systems College of Engineering Korea University EM Development Team ChemE Inc.

Quantum dot (Qd) color conversion layer (CCL) has been attracting interest due to their fascinating properties. The Qd CCL with thickness of microns is required to successfully block blue light leakage. However, controlling the thickness profile in micro-scale display pixels via the IJP remains a challenge. In this study, we controlled the surface energy of CCL by using CF 4 -plasma treatment to control the thickness profile and improve the color conversion efficiency. Through mask-free CF 4 -plasma treatment, the bank became hydrophobic due to the fluorinated treatment, while the glass became hydrophilic due to the cleaning effect, selectively.

关键词： CF4 plasma treatment Quantum dot (Qd) Surface energy Inkjet printing (IJP) Color conversion layer

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Artificial Intelligence and Machine Learning Approaches based on Power reduction in Automated Internet of Things devices

Artificial Intelligence and Machine Learning Approaches base...

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Advances in Computing, Communication and Applied Informatics (ACCAI), International Conference on

作者： Abbas Thajeel rhaif Alsahlanee Gunita Arun Chandhok T Saravanan d. Sugumaran Kireet Joshi N rajesh Department of Development and Continuous Education Center Communications Systems Engineering University of Thi-Qar Nasiriyah Thi-Qar Iraq Department of Commerce General Saveetha College of Liberal Arts and Sciences SIMATS Chennai TamilNadu India Department of MCA Madanapalle Institute of Technology & Science Madanapalle India Department of Information Technology Vel Tech Rangarajan DrSagunthala R&D Institute of Science and Technology Chennai Tami Nadu India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Department of Electronics and Communication Engineering Maharaja Institute of Technology Mysore Karnataka India

ISBN: (数字)9798350389449

ISBN: (纸本)9798350389456

To guarantee extended battery life and sustainability, there is an increasing need to address power consumption concerns as IoT devices increase in various applications. AI and ML techniques have shown promise in reducing power usage in automated Internet of Things devices. To improve power utilization in IoTdevices, this study investigates the application of AI and ML approaches to various tactics, including energy-efficient scheduling, adaptive power management, and intelligent sensor data processing. IoT devices may adaptively modify their power consumption using AI and ML algorithms depending on contextual elements like user behavior, ambient circumstances, and workload needs. Predictive analytics powered by AI can also foresee future power needs and optimize energy use before they arise. The usefulness and possible drawbacks of AI and ML-based power-saving approaches for automated IoT devices are reviewed in this study, along with previous research on the subject. Therefore, intelligent power management that improves energy economy without sacrificing performance or user experience is made possible by incorporating AI and ML techniques into IoT device design. By offering insights into cutting-edge power reduction techniques made possible by dL and ML, this article adds to the continuing conversation on the growth of the Internet of Things in a sustainable manner.

关键词： Performance evaluation Power demand Power system management System performance Machine learning Energy efficiency User experience

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EXPErIENCE FrOM NOrWEGIAN INTELLIGENT ELECTrICITY dISTrIBUTION PILOT PrOJECTS

EXPERIENCE FROM NORWEGIAN INTELLIGENT ELECTRICITY DISTRIBUTI...

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CIrEd 2021 - The 26th International Conference and Exhibition on Electricity distribution

作者： H. Sæle M. Istad S. M. Oland S. A. Kjerpeset r. Johansen H. Hagen K. F. Hansen L. E. Nesse Dept. of Energy Systems SINTEF Energy Research Trondheim Norway R&D and Digitalization Lede AS Porsgrunn Norway Dept. of System Responsibility and Development Linja AS Florø Norway Dept. of Strategy and Development Sogn og Fjordane Energi AS Sandane Norway NODES Lysaker Norway Haugaland Kraft Nett Haugesund Norway

CINELdI is a research centre for environment-friendly energy research (FME), focusing on the future flexible, intelligent and robust electricity distribution grid. CINELdI has 29 partners from the Norwegian power industry. The partners are involved in the centre via research, laboratory activities and pilot projects. This paper describes a common process for pilot projects established within FME CINELdI, with main focus on the pilot process and how pilot projects at user partner are initiated, executed and finalised, exemplified with a description of the following selected pilot projects: Pilot projects at Skagerak Energilab related to transition to island mode (Case 1.1) and optimization of local balancing with batteries (Case 1.2), and pilot projects with flexibility markets to solve voltage problems due to bottlenecks in the distribution grid (mainland) (Linja - Case 2) and on an island (Haugaland Kraft Nett – Case 3).

关键词： power grids distributed power generation power distribution economics power markets

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Beam Tracking Algorithm for UAV Communications Using Kalman Filter

Beam Tracking Algorithm for UAV Communications Using Kalman ...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Ha-Lim Song Young-chai Ko Jungil Cho Chanho Hwang The School of Electrical Engineering Korea University Seoul Korea C4I R&D Center Hanwha Systems Sungnam Korea The 2nd R&D Institute Agency for Defense Development Daejeon Korea

ISBN: (数字)9781728167589

ISBN: (纸本)9781728199016

To support moving users, stations, or relays in UAV assisted communication, beam tracking is an essential technology. Considering the movements and aerial perturbations of UAV, consistent beam tracking is a challenging problem. To address this problem, we propose an efficient Kalman filter (KF) based beam tracking scheme, which exploits monopulse signal as a measurement model. It can estimate the angular parameter with an accurate update phase. The conventional schemes use the beamformed signal as the measurement model, but the beamformed signal of measurement is ineligible to the KF system. Therefore, we show that the proposed scheme with a novel measurement is appropriate for the tracking scenarios and outperforms conventional schemes.

关键词： Tracking Perturbation methods Information filters real-time systems Information and communication technology Kalman filters relays

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Generative deep Learning Framework for Inverse design of Fuels

arXiv

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arXiv 2025年

作者： Yalamanchi, Kiran K. Pal, Pinaki Mohan, Balaji Alramadan, Abdullah S. Badra, Jihad A. Pei, Yuanjiang Transportation and Power Systems Division Argonne National Laboratory LemontIL60439 United States Digital R&D Division Research and Development Center Saudi Aramco Saudi Arabia Transport Technologies Division Research and Development Center Saudi Aramco Saudi Arabia Aramco Americas: Aramco Research Center–Detroit NoviMI United States

In the present work, a generative deep learning framework combining a Co-optimized Variational Autoencoder (Co-VAE) architecture with quantitative structure-property relationship (QSPr) techniques is developed to enable accelerated inverse design of fuels. The Co-VAE integrates a property prediction component coupled with the VAE latent space, enhancing molecular reconstruction and accurate estimation of research Octane Number (rON) (chosen as the fuel property of interest). A subset of the GdB-13 database, enriched with a curated rON database, is used for model training. Hyperparameter tuning is further utilized to optimize the balance among reconstruction fidelity, chemical validity, and rON prediction. An independent regression model is then used to refine rON prediction, while a differential evolution algorithm is employed to efficiently navigate the VAE latent space and identify promising fuel molecule candidates with high rON. This methodology addresses the limitations of traditional fuel screening approaches by capturing complex structure-property relationships within a comprehensive latent representation. The generative model provides a flexible tool for systematically exploring vast chemical spaces, paving the way for discovering fuels with superior anti-knock properties. The demonstrated approach can be readily extended to incorporate additional fuel properties and synthesizability criteria to enhance applicability and reliability for de novo design of new fuels. Copyright © 2025, The Authors. All rights reserved.

关键词： deep learning

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Toward a molecular mechanism-based prediction of CrISPr-Cas9 targeting effects

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Science Bulletin 2022年第12期67卷 1201-1204页

作者： Qinchang Chen Guohui Chuai Chao Zhang Qing Zhang Qi Liu Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine Shanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai 201210China Department of Plastic and Reconstructive Surgery Shanghai Institute of Precision MedicineShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Roche Pharma Research and Early Development pRED InformaticsRoche Innovation Center ShanghaiRoche R&D Center(China)Ltd.Shanghai 201203China

The CrISPr-Cas9 system,serving as a powerful genome-editing technology,has revolutionized the life ***,it exhibits off-target activities that may present severe problems in clinical *** a great number of in silico models have been developed to predict CrISPr targeting efficiency and specificity,they are running into a bottleneck with the lack of a mechanistic understanding of the on-and off-target activities of Cas9.

关键词： specificity clinical editing

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Enhancement of Security in IoT using Secure Hash Cryptography Algorithm with double Encryption (SHCA-dE)

Enhancement of Security in IoT using Secure Hash Cryptograph...

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International Conference on Communication and Electronics systems (ICCES)

作者： G. Uganya d. rajalakshmi ramarao Vangapandu M. dinesh Jayant Giri Mahmoud Odeh Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Data Science and Business Systems SRM Institute of Science and Technology Kattankulathur Chennai Department of Computer Science and Engineering Vignan's Institute of Engineering for Women Vishakhapatnam Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur Division of Research and Development Lovely Professional University Phagwara India Department of Cyber Security Faculty of Information Technology Zarqa University Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

The “Internet of things” is the developing technology to transfer the world into smart innovation. “IoT” security is the most problematic issue in recent applications due to its properties including ‘centralized architecture’, ‘limited capacity devices’, and ‘ambiguity’. So, blockchain with “IoT” applications provides secure data communication compared to traditional “IoT” applications. Blockchain is a recent growing technology that has features including ‘decentralized structure’, ‘transparency’, ‘immutable records’, ‘increased capacity’, and ‘quick backtracks’. The ‘cryptography hash algorithm’ is very important to provide secure data transmission. It converted the different size input to fixed-size unalterable output to enhance the security. But still, it needs efficient algorithm to secure data transmission with safeguard of private key. The objective of this paper is to propose a secure hash cryptography algorithm with double encryption (SHCA-dE) to protect the private key message. Then, this proposed algorithm has been analyzed with Md5, SHA-256, and SHA3-512. From this analysis, the SHA3-512 performs well with proposed algorithm.

关键词： Hash functions Technological innovation Accuracy Public key cryptography Blockchains Encryption Internet of Things data communication

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development modes analysis of renewable energy power generation in North Africa

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Global Energy Interconnection 2020年第3期3卷 237-246页

作者： Liang Zhao ruoying Yu Zhe Wang Wei Yang Linan Qu Weidong Chen China Electrical Power Research Institute No.15Qinghexiaoying East RoadHaidian DistrictBeijing 100192P.R.China State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research Institute.No.15Qinghexiaoying East RoadHaidian DistrictBeijing 100192P.R.China Global Energy Interconnection of Development and Cooperation Organization No.8Xuanwumen Inner StreetXicheng DistrictBeijing 100031P.R.China R&D Nester(Centro de Investigação em Energia REN-State Grid S.A.)Rua Cidade de Goanº4-B-2685-039 SacavémLisbonPortugal

North African countries generally have strategic demands for energy transformation and sustainable *** energy development is important to achieve this *** three typical types of renewable energies—wind,photovoltaic(PV),and concentrating solar power(CSP)—an optimal planning model is established to minimize construction costs and power curtailment *** levelized cost of electricity is used as an index for assessing economic *** this study,wind and PV,wind/PV/CSP,and transnational interconnection modes are designed for Morocco,Egypt,and *** installed capacities of renewable energy power generation are planned through the time sequence production simulation method for each *** results show that renewable energy combined with power generation,including the CSP mode,can improve reliability of the power supply and reduce the power curtailment *** transnational interconnection mode can help realize mutual benefits of renewable energy power,while the apportionment of electricity prices and trading mechanisms are very important and are related to economic feasibility;thus,this mode is important for the future development of renewable energy in North Africa.

关键词： North Africa renewable energy Wind power generation Solar energy generation Transnational interconnection Optimal planning Levelized cost of electricity

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High-Level Periodic Conjugated Terpolymers Through Aa/Bb Monomer Pair-Type Terpolymerization Improve Performance of Polymer Solar Cells

SSRN

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SSrN 2022年

作者： Jung, Sungwoo Cho, Yongjoon Ji, Yutong Park, Geunhyung Kim, Wonjun Jeong, Seonghun Lee, Sang Myeon Chen, Shanshan Zhang, Youdi Yang, Changduk Oh, Jiyeon 50 UNIST-gil Ulju-gun Ulsan44919 Korea Republic of Department of Chemistry and Materials Research Center Northwestern University 2145 Sheridan Road EvanstonIL60208 United States 4th R&D Institute Agency for Defense Development Yuseong-Gu Daejeon34186 Korea Republic of Key Laboratory of Low-grade Energy Utilization Technologies and Systems CQU-NUS Renewable Energy Materials & Devices Joint Laboratory School of Energy & Power Engineering Chongqing University Chongqing400044 China College of Chemistry Key Laboratory of Advanced Green Functional Materials Changchun Normal University Changchun130032 China

With a growing interest in developing high-performance π-conjugated terpolymers via random terpolymerization, new synthetic approaches resulting in higher-quality terpolymers with improved backbone regularity are needed to help make organic optoelectronic and photovoltaic applications more prosperous. Herein, we report an AA/BB monomer pair-type terpolymerization protocol that renders semi-sequence-controlled (SSC) terpolymers by polymerizing the aperiodically repeating units into the preferentially formed periodic, alternating polymeric block sequences, unlike the conventional random terpolymerization for producing terpolymers with irregular repeating sequences. A close comparison of SSC- and conventional terpolymerization-derived terpolymers indicate detectable differences in the absorption, energetic properties, carrier transport, energy loss, and morphological characteristics. The optimal SSC terpolymer-based polymer solar cells (PSCs) outperform the conventional terpolymerization-derived counterparts in power conversion efficiency (PCE). Moreover, the optimal SSC terpolymer-based PSCs processed by an eco-friendly solvent/additive system also exhibit outstanding PCEs of 16.52% (small area of 0.041 cm2) and 15.50% (large area of 1 cm2). To the best our knowledge, it is the highest value among tetrahydrofuran-processed PSCs. This SSC terpolymerization shows considerable promise in synthesizing high-quality in-chain terpolymers with high backbone sequence control without sacrificing their inherent beneficial features, providing high potential for further improving their PSC performances. © 2022, The Authors. All rights reserved.

关键词： Monomers

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Control strategy and methods for continuous direct compression processes

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Asian Journal of Pharmaceutical Sciences 2021年第2期16卷 253-262页

作者： Yasuhiro Suzuki Hirokazu Sugiyama Manabu Kano ryutaro Shimono Gosuke Shimada ryoichi Furukawa Eichi Mano Keiichi Motoyama Tatsuo Koide Yasuhiro Matsui Kazuki Kurasaki Issei Takayama Shunin Hikage Noriko Katori Masahiko Kikuchi Hiroshi Sakai Yoshihiro Matsuda Formulation Technology Research Laboratories Daiichi Sankyo Co.Ltd.Kanagawa 254-0014Japan Department of Chemical System Engineering The University of TokyoTokyo 113-8656Japan Department of Systems Science Kyoto UniversityKyoto 606-8501Japan CMC Sciences Department Regulatory Affairs DivisionR&D DivisionJanssen Pharmaceutical K.K.Tokyo 101-0065Japan EuroTechno Ltd. Kanagawa 223-0057Japan Pharmaceutical Research Department Mitsubishi Tanabe Pharma CorporationOsaka 532-8505Japan Chemical Products CMC Regulatory Affairs Area Japan DevelopmentMSD K.K.Tokyo 102-8667Japan Graduate School of Pharmaceutical Sciences Kumamoto UniversityKumamoto 862-0973Japan Division of Drugs National Institute of Health SciencesKawasaki 210-9501Japan Technology Research&Development Sumitomo Dainippon Pharma Co.Ltd.Osaka 564-0053Japan Formulation Development Department Chugai pharmaceutical Co.Ltd.Tokyo 115-8543Japan Office of New Drug IV Pharmaceuticals and Medical Devices AgencyShin-Kasumigaseki Bldg.Tokyo 100-0013Japan Office of Generic Drugs Pharmaceuticals and Medical Devices AgencyShin-Kasumigaseki Bldg.Tokyo 100-0013Japan KOKANDO Co. Ltd.Toyama 930-8580Japan Pharmaceuticals and Medical Devices Agency Shin-Kasumigaseki Bldg.Tokyo 100-0013Japan

We presented a control strategy for tablet manufacturing processes based on continuous direct *** work was conducted by the experts of pharmaceutical companies,machine suppliers,academia,and regulatory authority in *** different items in the process,the component ratio and blended powder content were selected as the items requiring the control method specific to continuous manufacturing different from the conventional batch *** control and management of the Loss in Weight(LIW)feeder were deemed the most important,and the residence Time distribution(rTd)model were regarded effective for setting the control range and for controlling of the LIW *** on these ideas,the concept of process control using rTd was summarized.

关键词： Continuous manufacturing Solid drug products Process control residence time distribution Loss in weight feeder regulatory science

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