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International Conference on Disaster Recovery and Business Continuity

作者： Galina Samigulina Zarina Samigulina Chef of the laboratory 《Intellectual control systems and forecasting》 Institute of Information and Computing Technologies IICT Department 《Automation and control》 Kazakh National Research Technical University KRNTU

ISBN: (纸本)9781509002016

Nowadays, the establishment of effective methods of QSAR (Quantitative Structure Activity Relationships) to predict the properties of new chemical compounds and directional computational molecular design of drug compounds are the most important and urgent tasks of bioinformatics. The article proposes a technology based on immune network modeling to determine the substance of new drug compounds. There was presented the algorithm for the modeling of the dependences "structure-property" on the example of sulfonamides with different duration of action based on the biological approach of artificial immune systems. There was designed component-oriented approach for computational molecular design of new drug compounds based on immune network modeling. The proposed intelligent technology allows to analyze the hidden (latent) relations between the descriptors, to decrease the training time for the immune network and to use the descriptors of different levels.

关键词： Computational molecular design Immune network modeling Sulfonamides Component-oriented software

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Perspectives in Mathematical System Theory, control, and Signal Processing 1

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丛书名： Lecture Notes in control and information Sciences

1000年

作者： Jan C. Willems Shinji Hara Yoshito Ohta Hisaya Fujioka

ISBN: (数字)9783540939184

ISBN: (纸本)9783540939177

This Festschrift, published on the occasion of the sixtieth birthday of Yutaka - mamoto (‘YY’ as he is occasionally casually referred to), contains a collection of articles by friends, colleagues, and former Ph.D. students of YY. They are a tribute to his friendship and his scienti?c vision and oeuvre, which has been a source of inspiration to the authors. Yutaka Yamamoto was born in Kyoto, Japan, on March 29, 1950. He studied applied mathematics and general engineering science at the department of Applied Mathematics and Physics of Kyoto University, obtaining the B.S. and ***. degrees in 1972 and 1974. His ***. work was done under the supervision of Professor Yoshikazu Sawaragi. In 1974, he went to the Center for Mathematical System T- ory of the University of Florida in Gainesville. He obtained the ***. and Ph.D. degrees, both in Mathematics, in 1976 and 1978, under the direction of Professor Rudolf Kalman.

关键词： systems Theory, control Signal, Image and Speech Processing control, Robotics, Mechatronics

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Evaluation of Novel Approaches to Software Engineering 1

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丛书名： Communications in Computer and information Science

1000年

作者： Leszek A. Maciaszek Joaquim Filipe

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Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets

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Computers, Materials & Continua 2023年第2期74卷 4531-4545页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine *** feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical *** a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this *** can result when the selection of features is subject to metaheuristics,which can lead to a wide range of ***,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more *** propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of *** the proposed method,the number of features selected is minimized,while classification accuracy is *** test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments.

关键词： Metaheuristics dipper throated optimization grey wolf optimization binary optimizer feature selection

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Classification of information Objects with Fuzzy Parameters in E-Learning systems 12

Classification of Information Objects with Fuzzy Parameters ...

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12th IEEE International Conference on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications, IDAACS 2023

作者： Mukhin, Vadym Zavgorodnii, Valerii Liskin, Viacheslav Syrota, Sergiy Koval, Vasyl Honchar, Liudmyla National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of System Design Kiev Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Information Systems and Technologies Kiev Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Applied Mathematics Kiev Ukraine West Ukrainian National University Department of Information-Computing Systems and Control Ternopil Ukraine West Ukrainian National University Department of Computer Science Ternopil Ukraine

ISBN: (纸本)9798350358056

The paper describes the process of the information objects classification in e-learning systems using the mathematical background of fuzzy logic. This approach can be used to improve the process of searching and organizing information in e-learning systems. As the volume of educational materials grows, it becomes more and more difficult to find and structure information. Fuzzy logic helps to optimize the search, and the use of a neural network can correctly classify materials in e-learning systems, which increases the efficiency and accuracy of search queries. © 2023 IEEE.

关键词： classification e-learning system fuzzy logic information object neural network

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Robust ${{\cal H}}_{\infty}$ Filtering for Markovian Jump systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case

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IEEE Transactions on Signal Processing 2011年第7期59卷 3048-3057页

作者： Hongli Dong Zidong Wang Daniel W. C. Ho Huijun Gao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK Department of Mathematics City University of Hong Kong Kowloon Hong Kong China

This paper addresses the robust H ∞ filtering problem for a class of discrete time-varying Markovian jump systems with randomly occurring nonlinearities and sensor saturation. Two kinds of transition probability matrices for the Markovian process are considered, namely, the one with polytopic uncertainties and the one with partially unknown entries. The nonlinear disturbances are assumed to occur randomly according to stochastic variables satisfying the Bernoulli distributions. The main purpose of this paper is to design a robust filter, over a given finite-horizon, such that the H ∞ disturbance attenuation level is guaranteed for the time-varying Markovian jump systems in the presence of both the randomly occurring nonlinearities and the sensor saturation. Sufficient conditions are established for the existence of the desired filter satisfying the H ∞ performance constraint in terms of a set of recursive linear matrix inequalities. Simulation results demonstrate the effectiveness of the developed filter design scheme.

关键词： Time varying systems Robustness Linear matrix inequalities Performance analysis Uncertain systems Symmetric matrices Attenuation

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Accuracy analysis of a covariance matching method for continuous-time errors-in-variables system identification

Accuracy analysis of a covariance matching method for contin...

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Universite Libre de Bruxelles

作者： Söderström, Torsten Irshad, Yasir Mossberg, Magnus Zheng, Wei Xing Division of Systems and Control Department of Information Technology Uppsala University P O Box 337 SE-75105 Uppsala Sweden Department of Physics and Electrical Engineering Karlstad University SE-65188 Karlstad Sweden School of Computing and Mathematics University of Western Sydney Penrith South DC NSW 1797 Australia

ISBN: (纸本)9783902823069

A covariance matching method for continuous-time errors-in-variables system identification from discrete-time data is analyzed. The asymptotic normalized covariance matrix, valid for a large number of data and a small sampling interval, is evaluated. This involves the evaluation of a covariance matrix of estimated covariance elements and estimated derivatives of such elements, and large parts of the paper are devoted to this task. © 2012 IFAC.

关键词： Errors

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Models of Battle Dynamics in Strategic Computer Games 16

Models of Battle Dynamics in Strategic Computer Games

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Laryushin, Ivan Dmitrievich Pashin, Dmitrii Sergeevich Koltochenko, Yaroslav Alekseevich Ereshko, Felix Ivanovich Gaponov-Grekhov Institute of Applied Physics Ras Plasma Physics Department Nizhny Novgorod Russia State University of Nizhny Novgorod Faculty of Physics National Research Lobachevsky Nizhny Novgorod Russia Moscow Institute of Physics and Technology Department of Mathematical Modeling of Complex Systems and Optimization Moscow Russia Federal Research Center 'Computer Science and Control' of the Ras Department of Information and Computing Systems Moscow Russia

ISBN: (纸本)9798350337907

A set of new models that describe the dynamics of battles in strategic computer games is presented. These models not only have descriptive functions, but also allow solving problems of optimizing army control under given conditions, as well as calculating the most efficient composition of the army for the planned operation within a computer game. © 2023 IEEE.

关键词： Computer games

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Trustworthy Injection/Curtailment of DER in Distribution Network maintaining quality of Service

Trustworthy Injection/Curtailment of DER in Distribution Net...

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International Conference on Intelligent systems Applications to Power systems (ISAP)

作者： Shahid Hussain Nicholas Honeth Rune Gustavsson Claes Sandels Arshad Saleem Department School of Computing Blekinge Institute of Technology Karlskrona Sweden Department of Industrial Information and Control Systems Royal Institute of Technology (KTH) Stockholm Sweden

Future powers system is considering huge flux of information flow due to increase in Renewable Energy Sources. Due to the limited monitoring and management of SCADA systems, inclusion of DER at local distribution level is a challenging task for the Smart Grid. We discuss the non-functional requirement aspects and their implication in trustworthy systems. The paper also illustrates an engineering approach towards trustworthy ICT systems. We present a use case about Injection/Curtailment of DER in distributed network. Further, we argue the importance of Service Level Agreements as coordination tool for information exchange between DSO and DER for the provisioning of trustworthy services. Finally conclude that modeling of SLA using Multi Agent systems is a viable approach towards Trustworthy future Smart Grid applications.

关键词： Density estimation robust algorithm Monitoring Business Smart grids Quality of service Production Reliability

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Portrayal of electronic cigarettes on YouTube

Portrayal of electronic cigarettes on YouTube

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2013 International Conference for Smart Health, ICSH 2013

作者： Luo, Chuan Zheng, Xiaolong Zeng, Daniel Dajun Leischow, Scott Cui, Kainan Zhang, Zhu He, Saike State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China Department of Management Information Systems University of Arizona Tucson AZ United States Mayo Clinic in Arizona Phoenix AZ United States School of Electronic and Information Engisneering Xi'an Jiaotong University China

ISBN: (纸本)9783642398438

Despite the growing number of videos featuring electronic cigarettes, there has been no investigation of the portrayal of these videos. This paper presents the first surveillance data of electronic cigarette videos on YouTube. Our results suggest that viewers are primarily being exposed to content promoting the use of these emerging tobacco products and the viewership is global. This study shows that it is critical to develop appropriate health campaigns to inform potential consumers of harms associated with electronic cigarette use. © 2013 Springer-Verlag.

关键词： Data mining

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