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International Conference on Smart Technologies For Smart Nation (SmartTechCon)

作者： r Krishna Priya Sabarmathi K r Aanandha Saravanan K Niranjanamurthy M Aashish A. Gadgil Azarudeen K Department of Engineering-Electrical Section College of Engineering and Technology University of Technology and Applied Sciences Shinas Sultanate of Oman Department of Information Technology Bannari Amman Institute of Technology Sathyamangalam Tamilnadu India Department of ECE Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of AI ML BMS Institute of Technology and Management Bangalore Karnataka India Department of ECE KLS GOGTE Institute of Technology Belagavi Karnataka India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India

With the popularity of languages and the increasing demand for language translation, the optimization of artificial intelligence scoring algorithm for English translation has become the urgent need of the translation market. Based on the deep neural network(dNN) algorithm, it continuously integrates modern technology to realize information collection, storage, analysis and application, which promotes the deep integration of the dNN algorithm in the field of intelligent identification and expands the application scope of artificial intelligence identification technology. This paper focuses on how to efficiently optimize the model of English translation artificial intelligence scoring algorithm by dNN, specifically studying the dNN model, by studying the mathematical model and algorithm flow of the dNN optimization algorithm, and the basic principle of the dNN model; Based on the dNN model, a learning ability analysis model of English translation algorithm is proposed. Experiments show that this model can optimize the artificial intelligence scoring algorithm of English translation.

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recursive Quantum relaxation for Combinatorial Optimization Problems

arXiv

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arXiv 2024年

作者： Kondo, ruho Sato, Yuki raymond, rudy Yamamoto, Naoki Toyota Central R&D Labs. Inc. 41-1 Yokomichi Aichi Nagakute480-1192 Japan Quantum Computing Center Keio University 3-14-1 Hiyoshi Kohoku-ku Kanagawa Yokohama223-8522 Japan Department of Computer Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan Department of Applied Physics and Physico-Informatics Keio University Hiyoshi 3-14-1 Kohoku-ku Yokohama223-8522 Japan

Quantum optimization methods use a continuous degree-of-freedom of quantum states to heuristically solve combinatorial problems, such as the MAX-CUT problem, which can be attributed to various NP-hard combinatorial problems. This paper shows that some existing quantum optimization methods can be unified into a solver to find the binary solution which is most likely measured from the optimal quantum state. Combining this finding with the concept of quantum random access codes (QrACs) for encoding bits into quantum states on fewer qubits, we propose an efficient recursive quantum relaxation method called recursive quantum random access optimization (rQrAO) for MAX-CUT. Experiments on standard benchmark graphs with several hundred nodes in the MAX-CUT problem, conducted in a fully classical manner using a tensor network technique, show that rQrAO not only outperforms the Goemans–Williamson and recursive QAOA methods, but also is comparable to state-of-the-art classical solvers. The code is available at https://***/ToyotaCrdL/rqrao. © 2024, CC BY.

关键词： Combinatorial optimization

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Organic redox flow battery: Are organic redox materials suited to aqueous solvents or organic solvents?

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Journal of Power Sources 2023年 558卷

作者： ramar, Alagar Wang, Fu-Ming Foeng, ruben Hsing, rocan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology No.43 Sec. 4 Keelung Road Taipei106 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan Taiwan Sustainable Energy Center National Taiwan University of Science and Technology Taipei Taiwan Department of Chemical Engineering Chung Yuan Christian University Taoyuan Taiwan

redox flow battery (rFB) systems have been developed to meet both the high-capacity energy storage demands and the safety concerns associated with the commonly used lithium ion batteries (LIBs). After the successful commercialization of vanadium redox flow battery, it has been integrated into other redox systems, both organic and inorganic. The redox behaviour of organic molecules could be fine-tuned by functionalizing with suitable electron donating and withdrawing groups. Hence, organic redox materials became the prime focus for the electrochemical energy researchers and their sustainability in organic and aqueous solvents were systematically examined. This review focuses on the development made in the key aspects of solubility, redox potential, multi-electron redox centres, cross-over issue and stability, both in aqueous and organic mediums. Some of new interesting ideas such as single molecule redox targeting reactions, eutectic mixture, bipolar redox molecules and symmetric flow battery were also discussed. With the developments made, we present our viewpoint on which renewable energy storage technology is suitable for sustainable energy storage. © 2023 Elsevier B.V.

关键词： Electrolytes

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On herbrand’s theorem for hybrid logic

Journal of Applied Logics

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Journal of applied Logics 2019年第2期6卷 209-228页

作者： Costa, diana Martins, Manuel A. Marcos, João CIDMA – Center for R&D in Mathematics and Applications Department of Mathematics University of Aveiro Portugal Department of Informatics and Applied Mathematics Federal University of Rio Grande do Norte Brazil

The original version of Herbrand’s theorem [8] for first-order logic provided the theoretical underpinning for automated theorem proving, by allowing a constructive method for associating with each first-order formula χ a sequence of quantifier-free formulas χ1, χ2, χ3, · · · so that χ has a first-order proof if and only if some χi is a tautology. Some other versions of Herbrand’s theorem have been developed for classical logic, such as the one in [6], which states that a set of quantifier-free sentences is satisfiable if and only if it is propositionally satisfiable. The literature concerning versions of Herbrand’s theorem proved in the context of non-classical logics is meager. We aim to investigate in this paper two versions of Herbrand’s theorem for hybrid logic, which is an extension of modal logic that is expressive enough so as to allow identifying specific sates of the corresponding models, as well as describing the accessibility relation that connects these states, thus being completely suitable to deal with relational structures [3]. Our main results state that a set of satisfaction statements is satisfiable in a hybrid interpretation if and only if it is propositionally satisfiable. © 2019, College Publications. All rights reserved.

关键词： Formal logic

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Analysis of four spans continuous beam by using python

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AIP Conference Proceedings 2024年第1期3037卷

作者： r. M. Saravanakumar d. C. Haran Pragalath Department of Civil Engineering Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai India Department of Civil Engineering British Applied College Umm al-Qaywayn United Arab Emirates

There are innumerable methods for solving continuous beams, including the slope and deflection method, the moment distribution method, the flexibility matrix method, and the stiffness matrix method. Each method has its own identity. The final results of all four methods are shear force, bending moment, slope, and deflection. Even if all approaches yield the same result. The issue now is the time duration of those methods. One assessment should take approximately over thirty minutes to complete. Another issue is that the entire analysis will be repeated even if only one parameter is changed. Computer-based analysis is the best solution to all of these problems. Python is a computer programming language that has recently gained popularity due to its syntax simplicity. The code can be executed as soon as it is written in this case. A four-span continuous beam will be analyzed using Python in this paper, and the results will be compared to the conventional stiffness method. Initially, inputs are sent to Python using finite element procedures. The analysis is performed with Numpy, and the results are printed. Numpy is a Python library that is capable of performing all mathematical analysis, particularly on arrays and matrices. The analysis in this paper is carried out using Google colab as a plot form and Numpy as a tool.

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Ph dependent Biocompatible room Temperature Covalent Organic Polymers for Selective Chemotherapeutic drug delivery

SSRN

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SSrN 2023年

作者： Thankachan, darieo Anbazhagan, rajeshkumar Tsai, Hsieh Chih Van Thi Thuy, dinh Gebrie, Hailemichael Tegenu Chen, Wei-Liang Chen, Jem-Kun Department of Materials Science and Engineering National Taiwan University of Science and Technology 43 Sec. 4 Keelung Road Taipei106 Taiwan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei106 Taiwan R&D Centre for Membrane Technology Chung Yuan University Taoyuan320 Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine Chung Shan Medical University Hospital Taichung City402 Taiwan

Covalent organic polymers (COP) are a special class of two-dimensional and three-dimensional cross-linked polymeric networks with repeating organic units. It is ideally suited for drug delivery applications due to its larger surface area, porous nature, and tunable properties. Furan-2,5-dicarbohydrazide and 1,3,5-triformylbenzene were used to synthesize a pH-responsive hydrazone linked furan based spherical COP;(FrT-COP) at room temperature. The formulated FrT-COP were later stabilized by hyaluronic acid and encapsulated anticancer drug doxorubicin (dOX) by utilizing the porous structure of the synthesized COP. The newly developed FrT-COP have pore sizes of 10 nm, and FrT-COP-dOX-HA exhibits drug loading capacity of 34.4% and an encapsulating efficiency of 52.32%. The NIH 3T3 cells' 90.01% vitality and the CT2A cells' 88.47% viability even at a higher concentration of 100 µg/mL of the carrier system proves the outstanding biocompatibility of the carrier system for chemotherapeutic drug delivery administration. The FrT-COP-dOX-HA-treated NIH-3T3 normal cell line exhibits a viability of 80.59% at a material concentration of 25 µg/mL. Furthermore, CT2A cancer cell lines show a viability of 33.1% at a material concentration of 25 µg/mL. These results unequivocally demonstrate the proposed drug delivery carrier system's exceptional suitability for applications requiring efficient and targeted anti-tumor chemotherapeutic drug administration. © 2023, The Authors. All rights reserved.

关键词： Biocompatibility

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Exploring the role of Agent and Multi-Agent in data Fusion Systems 4

Exploring the Role of Agent and Multi-Agent in Data Fusion S...

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4th International Symposium on Agents, Multi-Agents Systems and robotics, ISAMSr 2021

作者： Kashinath, Shafiza Ariffin Mostafa, Salama A. Mustapha, Aida Lim, david Fudzee, Mohd Farhan Ismail, Shahrinaz Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia Universiti Tun Hussein Onn Malaysia Faculty of Applied Sciences and Technology Johor Malaysia Sena Traffic Systems Sdn. Bhd. Engineering R&D Department Kuala Lumpur57000 Malaysia University Malaysia of Computer Science Engineering Cyberjaya Selangor63000 Malaysia

ISBN: (纸本)9781728166544

data fusion methods reduce the effort of data processing systems and facilitate achieving optimum results for complex problems. recently, various complex and distributed systems such as Internet of Things (IoT) systems are implemented where many sensors and data sources are allocated to collect heterogeneous data. These systems demand innovative and advanced data fusion methods. This paper presents an overview of agent and multi-agent roles in data fusion methods. Basically, agents provide features that enable complex and distributed systems to achieve deep data fusion in a collaborative multi-agent environment. Interaction among agents allows disseminating global overviews to a localized set of data fusion modules. There are different architectures to establish communication and authority among agents, such as (1) centralized, (2) decentralized, and (3) hybrid. Each of these approaches affords essential attributes of multi-agent systems (MAS). As a result, agents have the ability to improve communication and decision-making among data fusion modules and ensure producing better features or values during the fusion processes. © 2021 IEEE.

关键词： decision making

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Super microporous sulfur-doped hard carbon synthesized from a π-stacked Polybenzo[c]thiophene boosting reversible lithium-ion insertion at room temperature

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Carbon 2023年 213卷

作者： ramar, Alagar Sakthivel, Mani Wang, Fu-Ming Ho, Kuo-Chuan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology No. 43 Sec. 4 Keelung Road Taipei106 Taiwan Department of Chemical Engineering National Taiwan University Taipei Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan Taiwan Sustainable Energy Center National Taiwan University of Science and Technology Taipei Taiwan Department of Chemical Engineering Chung Yuan Christian University Taoyuan Taiwan

Synthesis of porous carbon materials with controlled textural properties is an all-time challenging process for energy storage applications. Aromatic polymers possess high rigidity due to their π-π stacking arrangement and could serve as robust precursors to produce porous carbon. Herein, super-microporous sulfur-doped hard carbons (SM-SdHCs) were synthesized from a highly ordered aromatic polybenzo[c]thiophene between 600 and 800 °C by using KOH as an activation agent. The degree of carbonization and defects were enhanced as the temperature increased from 600 to 800 °C as confirmed by X-ray diffraction and raman spectroscopy techniques. All the SM-SdHCs exhibit a super-microporosity (2 g−1). Among the three synthesized carbons, the SM-SdHC800 exhibited a high discharge capacity of 760.7 mAh g−1 at 20 mA g−1 and showed excellent cycle stability at 200 mA g−1 for 250 cycles. The reversible lithium-ion insertion of SM-SdHC800 anode is accredited to its high degree of carbonization, defect-rich quality, high interlayer distance, and microporous texture with large pore volume (0.68 cm3 g−1). In addition, the excellent cycle stability at 2 A g−1 for 1000 cycles shows its robustness for high C-rate LIBs. Polybenzo[c]thiophene precursor is a perceptive choice to produce sulfur-doped super-microporous hard carbon with controlled textural properties and could bring dramatic advances in the synthesis of nanostructured carbon materials for energy storage applications. © 2023 Elsevier Ltd

关键词： Sulfur

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Juvenile hormone membrane signaling phosphorylates USP and thus potentiates 20-hydroxyecdysone action in drosophila

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Science Bulletin 2022年第2期67卷 186-197,M0004页

作者： Yue Gao Suning Liu Qiangqiang Jia Lixian Wu dongwei Yuan Emma Y.Li Qili Feng Guirong Wang Subba r.Palli Jian Wang Sheng Li Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Institute of Insect Science and Technology&School of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514779China International Department The Afﬁliated High School of South China Normal UniversityGuangzhou 510631China Lingnan Guangdong Laboratory of Modern Agriculture Genome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China Department of Entomology College of AgricultureFood and EnvironmentUniversity of KentuckyLexington 40546USA Department of Entomology University of MarylandCollege Park 20742USA

Juvenile hormone(JH) and 20-hydroxyecdysone(20 E) coordinately regulate development and metamorphosis in insects. Two JH intracellular receptors, methoprene-tolerant(Met) and germ-cell expressed(Gce), have been identified in the fruit fly drosophila melanogaster. To investigate JH membrane signaling pathway without the interference from JH intracellular signaling, we characterized phosphoproteome profiles of the Met gce double mutant in the absence or presence of JH in both chronic and acute *** through a potential receptor tyrosine kinase and phospholipase C pathway, JH membrane signaling activated protein kinase C(PKC) which phosphorylated ultraspiracle(USP) at Ser35, the PKC phosphorylation site required for the maximal action of 20 E through its nuclear receptor complex Ec rUSP. The usp;mutant, in which Ser was replaced with Ala at position 35 by genome editing, showed decreased expression of Halloween genes that are responsible for ecdysone biosynthesis and thus attenuated 20 E signaling that delayed developmental timing. The usp;mutant also showed lower Yorkie activity that reduced body size. Altogether, JH membrane signaling phosphorylates USP at Ser35 and thus potentiates 20 E action that regulates the normal fly development. This study helps better understand the complex JH signaling network.

关键词： Juvenile hormone receptor tyrosine kinase Phosphoproteomics USP 20-Hydroxyecdysone action Yorkie activity

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deep Learning for Predictive Forecasts and Brain Imaging in Memory Loss diseases

Deep Learning for Predictive Forecasts and Brain Imaging in ...

引用

Communication, Computing and Energy Efficient Technologies (I3CEET), International Conference on

作者： P Arunachalam Vaibhav C. Gandhi Jalpa Bhatt Tushar desai S. Surendran Nandhini T J Department of Biomedical Engineering VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Engineering Madhuben and Bhanubhai Patel Institute of Technology (MBIT) Constitute College of CVM University Anand Gujarat India Krishna School of Emerging Technology and Applied Research Drs. Kiran & Pallavi Patel Global University Vadodara Gujarat India Department of Computer Science and Engineering Tagore Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Enginnering Saveetha Institute of Medical and Technical Science – SIMATS Saveetha University Chennai India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

Because deep learning is so adept at finding patterns in complex, high-dimensional data, it has revolutionized computer vision, beating traditional machine learning models. The development of brain imaging technology led to extensive multim…OrIZATIONS: deep learning algorithms, Alzheimer's illness, and classification This chapter presents a review of recent neuroimaging studies that used deep learning techniques to enhance Ad classification and evaluation. Articles Published between January 2013 and July 2018 (searched on Pubmed and Google Scholar) Alzheimer's disease deep Learning Following a review of the articles, the findings were rated based on the classification technique and the kind of neuroimaging data utilized in each research. Twelve of the sixteen included research exclusively used deep learning models (CNN for eleven [5] – [14] and Bidirectional Long Short-Term Memory networks—Bi-LSTM for one study); the other four studies mixed classical machine learning with deep learning techniques [1] - [4]. The best accurate diagnosis result was obtained when these multimodal techniques were combined with biomarkers found in cerebrospinal fluid (used for further investigations). deep learning algorithms have a lot of promise for the diagnostic criteria used to classify Ad since they are getting more efficient. Understanding Ad is still in its early stages, but deep learning and explainable technologies like these may help shed more light on the symptoms of the illness.

关键词： deep learning Neuroimaging Training Machine learning algorithms reviews Prediction algorithms Brain modeling Classification algorithms Alzheimer's disease Unsupervised learning

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