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检索条件"丛书名=Advances in Intelligent Systems and Computing"

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Service-Aware Resource Allocation Based on RAN Slicing for Smart Grid 13th

Service-Aware Resource Allocation Based on RAN Slicing for S...

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13th International Conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Meng, Sachula Wang, Zhihui Ding, Huixia Sun, Lili Yang, Delong Wu, Sai Cao, Xinzhi Wang, Xue Wang, Ying Chen, Yuanbin China Elect Power Res Inst Co Ltd Beijing Peoples R China State Grid Shandong Elect Power Co Informat & Telecommun Co Jinan Shandong Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China Beijing Jiaotong Univ Beijing Peoples R China

ISBN: (纸本)9783030222635;9783030222628

To meet the diversity of smart grid services, network slicing can be considered as a cost-effective way to provide customized services for different QoS (Quality of Service) requirements of each service. Considering the downlink transmission between gNB (gNodeB) and UEs (User Equipments), this paper focuses on logically divided eMBB (Enhance Mobile Broadband) slices and uRLLC (Ultra Reliable & Low Latency Communication) slices, which formulates a multi-objective optimization problem for different QoS requirements of various services in smart grid. The throughput of the eMBB slicing service is maximized while ensuring the delay of the uRLLC slicing service. Based on this, the Lyapunov optimization theorem is used to convert it into an equivalent drift-plus-penalty minimization problem, which could be solved by Lagrange dual decomposition method. Furthermore, simulation results demonstrate the effectiveness of our proposed RA-DT algorithm.

关键词： Smart power grids

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An Evaluation of the Objective Clustering Inductive Technology Effectiveness Implemented Using Density-Based and Agglomerative Hierarchical Clustering Algorithms 15th

An Evaluation of the Objective Clustering Inductive Technolo...

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15th International Scientific Conference on Intellectual systems of Decision Making and Problems of Computational Intelligence (ISDMCI)

作者： Babichev, Sergii Durnyak, Bohdan Pikh, Iryna Senkivskyy, Vsevolod Jan Evangelista Purkyne Univ Usti Nad Labem Usti Nad Labem Czech Republic Ukrainian Acad Printing Lvov Ukraine

ISBN: (纸本)9783030264741

The paper presents the results of the research concerning comparison analysis of the efectiveness of OPTICS and DBSCAN density-based and agglonarative hierarchical clustering algorithms within the framework of the objective clustering inductive technology. Implementation of this technology allows us to determine the optimal parameters of appropriate clustering algorithm in terms of the maximum values of the complex balance criterion which contains as the components both the internal and the external clustering quality criteria. The data from the computing School of East Finland University database were used as the experimental one during the simulation process. The results of the simulation have shown high effectiveness of the proposed technique. The investigated objects were divided into clusters correctly in all cases. Moreover, the results of the simulation have shown also higher effectiveness of the density-based clustering algorithms in comparison with agglomerative hierarchical algorithm use due to more level of the detail during the objects clustering.

关键词： OPTICS and DBSCAN clustering algorithm Agglomerative hierarchical clustering Internal External and balance clustering quality criteria Objective clustering Inductive technology

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Detection of Concept-Drift for Clustering Time-Changing Categorical Data: An Optimal Method for Large Datasets 3rd

Detection of Concept-Drift for Clustering Time-Changing Cate...

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3rd Conference on Data Engineering and Communication Technology (ICDECT)

作者： Madhavi, K. Reddy Babu, A. Vinaya Sunitha, G. Avanija, J. Sree Vidyanikethan Engn Coll Tirupati Andhra Pradesh India Stanley Coll Engn & Technol Women Hyderabad India

ISBN: (纸本)9789811510977;9789811510960

Finding optimal method for clustering of time-changing categorical data in large datasets is always lagging and has attracted significant interest in clustering domain. As the data in the World Wide Web has been growing exponentially, change in the concept occurs between every cluster called concept-drift. Firstly, the given dataset is divided into subsets, called sliding windows. Since the new data enters always into the database, effectiveness of the clustering method needs to be evaluated continuously and dynamically. This paper focuses on an optimal method for clustering time-changing categorical data. This method evaluates the effectiveness of the clustering process for each of new input data subset and considers the stability with respect to the previous clustering method. The proposed algorithm follows iterative procedure to obtain optimal solution of the clustering method with few constraints. Further, it detects drifting concepts from the optimal method. This paper proposes a detection of drift and the optimal method for catching the progression trend of cluster structures in time-changing categorical domain. Finally, the effectiveness of proposed algorithm is illustrated using the experimental study on KDD-CUP'99 dataset for various sizes of sliding windows.

关键词： Concept-drift detection Sliding window Optimal method and categorical data

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Alternative Paths Reordering Using Probabilistic Time-Dependent Routing 22nd

Alternative Paths Reordering Using Probabilistic Time-Depend...

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11th International Conference on intelligent Networking and Collaborative systems (INCoS) / 22nd International Conference on Network-Based Information systems (NBiS)

作者： Golasowski, Martin Beranek, Jakub Surkovsky, Martin Rapant, Lukas Szturcova, Daniela Martinovic, Jan Slaninova, Katerina VSB Tech Univ Ostrava IT4Innovat 17 Listopadu 2172-15 Ostrava 70800 Czech Republic

ISBN: (纸本)9783030290290;9783030290283

In this paper we propose an innovative routing algorithm which takes into account stochastic properties of the road segments using the Probabilistic Time-Dependent Routing (PTDR). It can provide optimal routes for vehicles driving in a smart city based on a global view of the road network. We have implemented the algorithm in a distributed on-line service which can leverage heterogeneous resources such as Cloud or High Performance computing (HPC) in order to serve a large number of clients simultaneously and efficiently. A preliminary experimental results using a custom traffic simulator are presented.

关键词： Stochastic systems

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Ankle Modeling and Simulation in the Context of Sport Activities 8th

Ankle Modeling and Simulation in the Context of Sport Activi...

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World Conference on Information systems and Technologies (WorldCIST)

作者： Negru, Nicoleta Leba, Monica Marica, Laura Univ Petrosani Str Univ Petrosani Romania

ISBN: (纸本)9783030456870;9783030456887

This paper presents a general framework for the use of modeling and simulation software combined with the 3D printer industry to be used in the sports world in the event of accidents being able to quickly create orthoses. It is shown that with the help of modeling and simulation software one can model and simulate the ankle movement so that later an orthosis can be made as faithful as it can be used. It is presented the fact that practicing in inappropriate conditions of sport presents many health risks. Among the most common mistakes were: incorrect heating of the muscles, improper hydration, intense workouts and execution in exercise rounds without the guidance of a trainer. Starting from these aspects, the research presented in this paper began. The evolution of the prostheses is presented historically and then a classification is made according to the fundamental characteristics from a functional point of view. It also presents the medical conditions in which it is necessary to use a prosthesis. There is presented a modeling and simulation performed in Matlab of the ankle movement so that later it will serve as a starting point to be able to perform a more accurate modeling of a prosthesis with the help of specialized software. To achieve the Matlab model it is considered that the ankle is similar to a 5-foot Stewart platform. To develop the mathematical driving model for this, the Denavit-Hartenberg model was developed for one of the legs. Taking into account in the first instance the medical conditions that must be fulfilled for the realization of a prosthesis, then the mathematical models and the simulations that can be realized with the help of specialized software can be realized prostheses as accurately as possible with the help of the new technologies of 3D printing.

关键词： 3D modeling 3D printing Ankle Orthoses

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Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches 19th

Queries on Synthetic Images for Large Multivariate Engineeri...

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19th Annual UK Workshop on Computational Intelligence (UKCI)

作者： Micic, Natasha Lei, Ci Neagu, Daniel Campean, Felician Univ Bradford Fac Engn & Informat Bradford W Yorkshire England

ISBN: (纸本)9783030299330;9783030299323

Engineers are often interested in searching through historical engine testing data sets to explore systems behaviours across experiments or simply to validate the integrity of data by reference to past experience. Engine tests usually consist of design of experiments (DoE) tests carried out at different operating conditions on an engine. While DoE tests record a time or measurement field so could fall under the multivariate time series domain, however, the engineering experiments have no important connection with order. Using this knowledge we have developed a method of visualising the engineering data as a set of normalised histograms to manufacture synthetic images for every test. From these images and their pixel rows we propose a list base indexing method to efficiently index the engine test images and a fast algorithm to search both the univariate and multivariate cases. Querying the data for similar behaviours thus becomes much simpler for the engineer, compared to manually searching files. Our data is of a heterogeneous form which can often mean the absence of columns where they are present in other data sets. It can even sometimes mean the comparison between different data types. This data inconsistency is something that from our research is rarely reported or attempted to traverse, but is consistently occurring in real multivariate data case studies. In order to overcome this realistic problem our method will allow for comparison of univariate data with differing quality scores.

关键词： List based indexing List based searching Normalised histograms Big data Multivariate data Image manufacturing Synthetic images Fast searching Distance measures Quality scores

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Performance Analysis of Support Vector Regression Machine Models in Day-Ahead Load Forecasting

Performance Analysis of Support Vector Regression Machine Mo...

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Future of Information and Communication Conference (FICC)

作者： Velasco, Lemuel Clark P. Polestico, Daisy Lou L. Abella, Dominique Michelle M. Alegata, Genesis T. Luna, Gabrielle C. MSU Iligan Inst Technol Premier Res Inst Sci & Math Iligan 9200 Philippines

ISBN: (纸本)9783030394424;9783030394417

Support vector machines (SVM) is a machine learning framework that has exhibited optimum performance in the functions of classification and clustering. This study explored Support Vector Regression Machines (SVRM) as a specialized application of SVM in predictive functions by conducting a performance analysis of various SVRM models for day-ahead load forecasting. In order to find an appropriate SVRM model that can yield promising forecasting results, data preparation which involved data representation and feature selection was conducted for the electric load dataset and found out that only the time attribute has a relevant relationship with the consumed electric load. Through the selection of an appropriate kernel along with its SVRM parameters and SVRM architecture, it was found out that the Radial Basis Function kernel along with SVRM parameters: c = 110, g = 0.001, e = 0.01 and p = 0.005 implemented in an SVRM architecture that uses: day before, two days before, seven days before, and fourteen days before electric load data as input for the SVRM model yields the best forecasting results. The results generated and obtained by this study clearly suggests that with proper data representation, feature selection, kernel selection, parameter selection and architecture selection, SVRM can go beyond clustering and classification by being a viable forecasting technique for day-ahead electric load forecasting.

关键词： Machine learning performance Support vector machines Support vector regression machines Electric load forecasting

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2nd International Conference on Human systems Engineering and Design (IHSED) - Future Trends and Applications

作者： Huang, Yaping Wang, Haiyan Xue, Chengqi Zhou, Xiaozhou Shi, Yiming Southeast Univ Sch Mech Engn Nanjing 211189 Peoples R China

ISBN: (纸本)9783030279288;9783030279271

Icons with identical features convey to users a semantic structure, but a strong visual grouping hint may hinder users from locating interface items. This study took traffic lights as an example to explore the degree to which similarities within a set of icons influence user decisions. The experiment simulated the situation of traffic lights with four types of symbols. Ten participants were asked to respond correctly to the green signal. The behavioral experiment showed that participants have the lowest reaction time to symbols exclusive elements that have no effect on semantics. The relationship between the reaction time and symbolic similarities of those four types of traffic lights was analyzed by the proposed method of computing item similarity. The results showed similarity values were highly consistent with the reaction time. The implications of the results are applicable to design a set of icons that have less effect on the user's quick recognition.

关键词： Icon similarity Decision-making Traffic signals Visual perception

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Automated Control Parameters systems of Technological Process Based on Multiprocessor computing systems

Automated Control Parameters Systems of Technological Proces...

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Computer Vision Conference (CVC)

作者： Shvachych, Gennady Moroz, Boris Pobocii, Ivan Kozenkov, Dmytro Busygin, Volodymyr Natl Met Acad Ukraine UA-49000 Dnipro Ukraine Natl TU Dnipro Polytech UA-49000 Dnipro Ukraine

ISBN: (纸本)9783030177980;9783030177973

The paper considers the development features and the use of a multiprocessor computing system with its mathematical focus and software for simulation of heat treatment modes of steel billets. Objective is to develop a simulation for the heat treatment mode of a long steel billet that can be used for recrystallization and spheroidizing annealing of calibrated steel. The proposed use of modern multiprocessor computing technology strives to increase the speed and productivity of computing, which ensures effective control of the process. By using special software, a multiprocessor computing system is able to set and control the required temperature conditions on the entire cross-sectional plane of the billet during heating and holding, and if necessary, it can control the heat treatment of steel in the annealing temperature range. A multiprocessor computing system with special software includes mathematical simulations in the form of the heat equations. Such equations are solved by splitting methods. Thanks to this approach, the solution of a two-dimensional equation reduces to a sequence of integrating one-dimensional equations of a simpler structure. The use of a numerical-analytical method ensures the economic and sustainable algorithms for solving problems of such type. There experiments were conducted with the study of the properties of steel billets. The results of the experiments allow recommending the proposed approach to creating simulations of metal processing speeds for the development of new technological processes.

关键词： Mathematical simulation Multiprocessor computing system Informational bidirectional interface Metal temperature control

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Job Scheduling with Machine Speeds for Password Cracking Using Hashtopolis 15th

Job Scheduling with Machine Speeds for Password Cracking Usi...

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15th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Rudy, Jaroslaw Rodwald, Przemyslaw Wroclaw Univ Sci & Technol Dept Comp Engn Wybrzeze Wyspianskiego 27 PL-50370 Wroclaw Poland Polish Naval Acad Dept Comp Sci Smidowicza 69 PL-81127 Gdynia Poland

ISBN: (纸本)9783030482558;9783030482565

Due to the current challenges in computer forensics and password cracking, a single GPU is no longer sufficient. Thus, distributed password cracking platforms with dozens of GPUs become a necessity in the race against criminals. In this paper, we show a multi-GPU cracking platform build on Hashcat-based open-source distributed tool Hashtopolis for use in password cracking and computer forensics. We present a mathematical model of the problem, formulating it as a specific case of the problem of scheduling independent jobs on parallel machines with machines speed and makespan criterion. We propose two metaheuristic algorithms based on the Simulated Annealing and Genetic Algorithm method to solve this problem. We employ the algorithms in a computer experiment using real-life password cracking instances and hash functions. The results indicate moderate (4-8%) to considerable (14-38%) improvement in makespan compared to default schedule for most instances. We also show that hash function type affects the improvement. SA and GA show little difference in quality, with SA being slightly better.

关键词： Hash functions

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