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37th Italian Conference on Computational Logic, CILC 2022

作者： Soldà, Davide Fabiano, Francesco Dovier, Agostino Constraint and Logic Programming Lab University of Udine Udine33100 Italy Embedding System Unit of Fondazione Bruno Kessler Trento38123 Italy Department of Mathematical Physical and Computer Sciences University of Parma Parma43124 Italy Department of Mathematics Computer Science and Physics University of Udine Udine33100 Italy

Over the last few years, the fields of Artificial Intelligence, Robotics and IoT have gained a lot of attention. This increasing interest has brought, among other things, to the development of autonomous multi-agent systems where robotic entities may interact with each other. As for all the other autonomous settings, also these systems require arbitration. Our work tries to address this problem by presenting a framework that embeds both a classical and a multi-agent epistemic (epistemic, for brevity) planner in a robotic control architecture. The idea is to combine the (i) classical and the (ii) epistemic solvers to model efficiently the interaction with: the (i) physical world and the (ii) information flows, respectively. In particular, the presented architecture starts by planning on the "epistemic level" refining then single-agent world-altering actions thanks to the classical planner. To further optimize the solving process, we also introduce the concept of macros in epistemic planning. Macros, in fact, have been successfully employed in classical planning as they allow for opportune aggregations of actions that may lead to a reduction of plans' length. Finally, the overall framework is exemplified and validated with two Franka Emika manipulators. This allowed us to empirically justify how the combination of the two planning approaches (classical and epistemic), and the introduction of macros, reduce the computational time required by the orchestrating phase. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

关键词： Robot programming

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Univariate & Multivariate Forecasting of Time Series Through a Contemporary Manner

Univariate & Multivariate Forecasting of Time Series Through...

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International Conference on High Technology for Sustainable Development (HiTech)

作者： Kiril Koparanov Daniela Minkovska Elena Antonova Department of Programming and Computer Technologies Technical University of Sofia Sofia Bulgaria Department of Computer Systems Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350358100

ISBN: (纸本)9798350358117

Detailed forecasting of time series is one of the fields where the latest advancements in information technology make significant contributions. Operating with financial data poses noteworthy challenges owing to its inherent nature and substantial impact on economic dynamics within society. This study explores the utilization of automated tools as a set of resources for both unifactorial and multifactorial forecasting, drawing conclusions and providing recommendations.

关键词： Economics Accuracy Time series analysis Predictive models Data models Forecasting Sustainable development Information technology

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A hybrid heuristic for restricted 4-dimensional TSP (r-4DTSP) 1st

A hybrid heuristic for restricted 4-dimensional TSP (r-4DTSP...

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1st International Conference on Frontiers in Optimization: Theory and Applications, FOTA 2016

作者： Roy, Arindam Chakraborty, Goutam Khan, Indadul Maity, Samir Maiti, Manoranjan Department of Computer Science Prabhat Kumar College Contai Purba MedinipurW.B721401 India Faculty of Software and Information Science Iwate Prefectural University Takizawa Japan Department of Computer Science Vidyasagar University MedinipurW.B721102 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University MedinipurW.B721102 India

ISBN: (纸本)9789811078132

In this paper, we proposed a hybridized soft computing technique to solve a restricted 4-dimensional TSP (r-4DTSP) where different paths with various numbers of conveyances are available to travel between two cities. Here, some restrictions on paths and conveyances are imposed. The algorithm is a hybridization of genetic algorithm (GA) and swap operator-based particle swarm optimization (PSO). The initial solutions are produced by proposed GA which used as swarm in PSO. The said hybrid algorithm (GA-PSO) is tested against some test functions, and efficiency of the proposed algorithm is established. The r-4DTSPs are considered with crisp costs. The models are illustrated with some numerical data. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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Investigating Turkey High School Graduates’ Attitudes towards Technology

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Procedia - Social and Behavioral Sciences 2015年 191卷 1416-1422页

作者： Omer FarukSozcu ErkanTaskın Ismail Ipek Mustafa Simsek Hüseyin Kınay Fatih University Faculty of Education Department of Computer Education and Instructional Technologies Istanbul 34500 Turkey Fatih University Vocational School Computer Programming İstanbul 34500 Turkey

computers have been integrated into almost all areas of our daily lives. Serious problems stem from the fact that elementary and secondary school students in general have taken none or inadequate computer classes and as such, their awareness of efficient computer usage has not been adequately addressed. During university education, students have been observed experiencing hardships using computers for research and document preparation, due to their prior use of computers having consisted mostly of accessing social media and games. The current study investigated 2013-2014 high school graduates’ attitudes regarding technology, the computer programs they used and their usage frequency, reasons for why they use the Internet and social media and their usage frequencies, and their basic computer skills at university level. The participants of the current study were students who had just entered various departments and language preparation levels at Fatih University, Istanbul, Turkey. 250 Participants were randomly selected. Data for the current study were collected through a Basic computer Skills Questionnaire, an application for determining the levels of participants’ basic computer skills. Significant benefits are foreseen for students entering universities as helpful computer users with awareness attained during elementary or secondary education. Additionally, particularly for students who prefer non-social majors, it will be very useful to have learned a programming language and an algorithm at basic levels. The Internet as a medium for potentially leading to a diverse range of problems today requires conscious users.

关键词： technology attitude basic computer skills computer usage internet usage

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Optimizing Machine Learning Algorithms to Enhance Blood Donation for Liver Patients: A Case Study 7

Optimizing Machine Learning Algorithms to Enhance Blood Dona...

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7th IET Smart Cities Symposium, SCS 2023

作者： Mijwil, Maad M. El-Kenawy, El-Sayed M. Bala, Indu Aljanabi, Mohammad Abotaleb, Mostafa Ibrahim, Abdelhameed Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt School of Electrical and Electronics Engineering Lovely Professional University Punjab India Department of Computer Aliraqia University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Blood is vital for transporting oxygen, nutrients, and hormones to all body parts as it circulates through arteries and veins. It removes carbon dioxide, regulates body temperature, and maintains the body's immune system. Individuals constantly need blood and its derivatives to save their lives and improve their health through medical treatments and surgical operations. Liver diseases are one of the diseases that affects the health of individuals and requires blood to continue living. These diseases cause significant damage to people's health, and early diagnosis plays a crucial role in saving lives. In this paper, machine learning algorithms (support vector machine and random forest) are involved in detecting liver diseases and determining whether donors are suitable to donate blood from blood values. This paper is applied research that found that the performance measures of the random forest algorithm achieved excellent performance in identifying suitable people to donate blood. © The Institution of Engineering & Technology 2023.

关键词： Support vector machines

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Platform for big biomedical data streams management and analytics

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International Journal of Circuits, Systems and Signal Processing 2020年 14卷 580-588页

作者： Gancheva, Veska Programming and Computer Technologies Department Technical University of Sofia 8 Kliment Ohridski boul Sofia1000 Bulgaria

Major challenge in the analysis of clinical data and knowledge discovery is to suggest an integrated, advanced and efficient tools, methods and technologies for access and processing of progressively increasing amounts of data in multiple formats. The paper presents a platform for multidimensional large-scale biomedical data management and analytics, which covers all phases of data discovery, data integration, data preprocessing, data storage, data analytics and visualization. The goal is to suggest an intelligent solution as integrated, scalable workflow development environment consisting of a suite of software tools to automate the computational process in conducting scientific experiments. © 2020, North Atlantic University Union. All rights reserved.

关键词： Data Analytics

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Fuzzy Optimization, Decision-making and Operations Research 1

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1000年

作者： Chiranjibe Jana Madhumangal Pal Ghulam Muhiuddin Peide Liu

This book is aimed at experts and practitioners in the fields of fuzzy optimization, fuzzy decision-making, and fuzzy operation research.

ISBN: (数字)9783031356681

ISBN: (纸本)9783031356674;9783031356704

This book is aimed at experts and practitioners in the fields of fuzzy optimization, fuzzy decision-making, and fuzzy operation research.

关键词： Operations Research, Management Science Optimization Functional Analysis Operator Theory Statistics, general

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Cost optimization and high available heterogeneous series-parallel redundant system design using genetic algorithms

Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical Engineering 2015年 343卷 283-305页

作者： Chaaban, Walid Schwarz, Michael Börcsök, Josef Department of Computer Architecture and System Programming University of Kassel Willhelmshöher Allee. 71 Kassel34121 Germany

Heterogeneous redundant series-parallel systems allow the mixing of components within the same subsystem. This diversity feature may improve the overall characteristics of the system compared with the homogeneous case in term of less susceptibility against so called common-cause failures and reduced cost. That means they guarantee longer availability and are quite suitable for systems that are designed to perform continuous processes. But the main challenging task is to determine the optimal design that corresponds to the minimal investment costs and satisfies the predefined constraints. This kind of combinatorial optimization tasks is perfectly solved using heuristic methods, since those approaches showed stability, powerfulness, and computing effectiveness in solving such matters. This task is more complex than the homogeneous case since the search space is getting larger due to the fact that every component available and that can be deployed in a subsystem has to be taken into account. This fact leads definitely to greater chromosome length and makes the search more time consuming. The algorithm has been implemented in Matlab and three different existing models (Levitin, Lisnianski, and Ouzineb) have been considered for a comparison with the homogeneous case and for validation purposes. © Springer International Publishing Switzerland 2015.

关键词： Genetic algorithms

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Multi-path route discovery algorithm for cognitive radio ad hoc networks using algebraic connectivity

Multi-path route discovery algorithm for cognitive radio ad ...

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International Conference on Telecommunications and Signal Processing (TSP)

作者： Erkan Güler Zhaleh Sadreddini Tuğrul Çavdar Department of Computer Programming Giresun University Giresun Turkey Department of Computer Engineering AVRASYA University Trabzon Turkey Department of Computer Engineering Karadeniz Technical University Trabzon Turkey

Cognitive Radio Technology has brought new insights to the problems of spectrum scarcity and inefficiency, in which spectrum holes are opportunistically accessed when the licensed users (primary users) are not using the frequencies that are assigned to those users. In this paper, we propose a multi-path route discovery algorithm for cognitive radio ad hoc networks (CRAHN) using algebraic connectivity. The employed routing mechanism takes into account the impact of the primary users on the non-licensed users (secondary users) in a way that the secondary users choose the paths which are less affected by the non-licensed users. With regard to proposed route discovery algorithm, data traffic congestions are tried to be avoided in the secondary network by reducing the number of all possible paths from source to destination. The results show that the devised method overcomes the technique of the route request (RREQ) message flooding between a source and a destination.

关键词： Routing Routing protocols Topology Cognitive radio Ad hoc networks Laplace equations Interference

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Modelica — A cyber-physical modeling language and the OpenModelica environment

Modelica — A cyber-physical modeling language and the OpenM...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Peter Fritzson PELAB-Programming Environment Laboratory Department Computer Science Linköping University Linkoping Sweden

Modelica is a modern, strongly typed, declarative, equation-based, and object-oriented (EOO) language for modeling and simulation of complex cyber-physical systems. Major features are: ease of use, visual design of models with combination of lego-like predefined model building blocks, ability to define model libraries with reusable components, support for modeling and simulation of complex applications involving parts from several application domains, and many more useful facilities. This paper gives an overview of some aspects of the Modelica language and the OpenModelica environment - the most complete Modelica open-source tool for modeling, simulation, and development of Modelica applications. Special features are MetaModeling for efficient model transformations, the ModelicaML profile for UML-Modelica cyber-physical hardware-software modeling, as well as generation of parallel code for multi-core architectures.

关键词： Mathematical model Unified modeling language Object oriented modeling Equations Computational modeling Rabbits Software

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