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

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An Evolutionary Algorithmic Framework to Solve Multi-objective Optimization Problems with Variable Length Chromosome Population 3rd

An Evolutionary Algorithmic Framework to Solve Multi-objecti...

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3rd International Conference on intelligent computing and Communication (ICICC)

作者： Devika, K. Jeyakumar, G. Amrita Vishwa Vidyapeetham Dept Comp Sci & Engn Amrita Sch Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9789811510847;9789811510830

In the last decade, Evolutionary Algorithms (EAs) have been widely used to solve optimization problems in the real world. EAs are population-based algorithms, starting the search with initial set of candidates or chromosomes, for the optimal solution of a given optimization problem. Traditional EAs use a population with Fixed Length Chromosomes (FLCs). In FLCs, all the chromosomes will have same length, whereas, in Variable Length Chromosomes (VLCs), a population can have chromosomes of different lengths. This paper proposes to use VLCs in the context of Multi-Objective Differential Evolution (MODE) algorithm. The MODE with VLCs is to solve RFID reader placement problem for the buildings with multiple rooms of different sizes. The type of coverage of RFID readers considered is elliptical. Based on the dimensions of each room, the number of RFID readers required is varied, which warrants the deployment of VLCs. This paper also presents the consequence of VLCs, in solving the RFID reader placement problem using different weight vectors.

关键词： Multi-objective optimization Variable length chromosomes Evolutionary algorithms RFID reader placement Weight-vector approaches

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The Influence of Polyethylene Additives on Asphalt Pavement Properties 8th

The Influence of Polyethylene Additives on Asphalt Pavement ...

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8th International Scientific Siberian Transport Forum (TransSiberia)

作者： Zakharychev, Sergey Pozynich, Konstantin Telnova, Svetlana Pacific Natl Univ Tikhookeanskaya St 136 Khabarovsk 680035 Russia

ISBN: (纸本)9783030379193;9783030379186

The article is devoted to determining the possibility of adding high-pressure polyethylene to the asphalt concrete, its optimal quantity in the mixture and the effect on the coating properties. When using a thermoplastic polyethylene in the mixture of the asphalt concrete compositions fillers the environmental impact is minimized and their physical and mechanical properties are improved while reducing the share of natural sources. The solution of these two determined tasks meaning providing the best quality properties of asphalt concrete using mass polymer solid household waste was the purpose of this work. The composition of hot dense fine-grained asphalt concrete type B grade II according to the national Russian Standard 9128-2009, manufactured in the research laboratory "Far East" was adopted as the source composition. The optimum concentration of polyethylene additive in asphalt concrete composition equal to 1% by weight of mineral materials was determined. The research results of physical and mechanical properties of standard and modified asphalt concrete were described, tests for rutting resistance when rolling the loaded wheel on the coating were carried out. Conclusions and decisions, indicating the improvement of asphalt concrete endurance with the addition of 1% polyethylene by weight of mineral fillers are made.

关键词： High-pressure polyethylene Asphalt concrete Asphalt roads

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Adaptive Recognition for Tracking of Moving Objects 28th

Adaptive Recognition for Tracking of Moving Objects

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28th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)

作者： Dobrovodsky, Karol Andris, Pavel Slovak Acad Sci Inst Informat Dubravska Cesta 9 Bratislava 84237 Slovakia

ISBN: (纸本)9783030196486;9783030196479

An adaptive multilocator for online recognition and tracking of moving objects is considered. The vision system is based on the fast real time sub image localization module aimed to recognize patterns in order to track the motion of the selected object. In order to reduce mistakes concerned with the identity, the system is able to recognize several similar objects simultaneously. Nevertheless, the operator can point out an object on the screen to correct the tracking process. An adaptation of the actual patterns according to the lastly localized objects in the area of interest is performed in each step of the real time process. The aim of the paper is to present an effective adaptation and correction procedure based on constant primary patterns defined by the operator and varying secondary patterns defined by the automatic adaptation.

关键词： Vision system Online recognition Pattern adaptation Real time localization

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Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises 14th

Optimizing a Bi-objective Vehicle Routing Problem Appearing ...

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14th International Conference on Soft computing Models in Industrial and Environmental Applications (SOCO)

作者： Lopez-Sanchez, Ana D. Hernandez-Diaz, Alfredo G. Molina, Julian Laguna, Manuel Pablo de Olavide Univ Seville Spain Malaga Univ Malaga Spain Univ Colorado Denver CO 80202 USA

ISBN: (纸本)9783030200558;9783030200541

Muti-Start Multiobjective Local Search algorithm is implemented to solve a bi-objective variant of the Vehicle Routing Problem appearing in industry and environmental enterprises. The problem seeks to design a set of routes for each time on a period and in which the service frequency is a decision variable. The algorithm minimizes total emissions by all vehicles and maximizes service quality measure as the number of times that a customer is visited in order to be served.

关键词： Vehicles

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Automatic Classification of Carnatic Music Instruments Using MFCC and LPC 3rd

Automatic Classification of Carnatic Music Instruments Using...

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International Conference on Data Management, Analytics and Innovation (ICDMAI)

作者： Shetty, Surendra Hegde, Sarika NMAM Inst Technol Nitte Dept Comp Applicat Deralakatte 574110 Karnataka India NMAM Inst Technol Nitte Dept CSE Deralakatte 574110 Karnataka India

ISBN: (纸本)9789813299498;9789813299481

With a large collection of digital music in recent days, the challenge is to organize and access the music efficiently. Research in the field of Music Information Retrieval (MIR) focuses on these challenges. In this paper, we develop a system which automatically identifies the instrument in a given Carnatic music on ten different types of instruments. We extract the well-known features namely, MFCC and LPC, and analyze the capability of these features in distinguishing different instruments. Then, we apply, the classification techniques like, Artificial Neural Network, Support Vector Machine, and Bayesian classifiers on those features. We compare the performances of those algorithms along with different features for Carnatic music instruments identification.

关键词： Audio data mining Carnatic music Instrument classification MIR

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Optimization of the Structure of the intelligent Active System as a Necessary Condition for the Harmonization of Creative Solutions

Optimization of the Structure of the Intelligent Active Syst...

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International Symposium on Computer Science, Digital Economy and intelligent systems (CSDEIS)

作者： Mutovkina, N. Yu Kuznetsov, V. N. Tver State Tech Univ Tver Russia

ISBN: (纸本)9783030392161;9783030392154

This article is devoted to the problem of identifying the most effective intelligent agents suitable in their personal qualities for solving nonstandard, complex, creative tasks. The effectiveness of the decisions made by intelligent agents determines the productivity of the entire system. The possibilities of generating creative solutions to complex, non-standard problems largely depend on the state of intelligent agents. An intelligent agent, taking into account its inherent anthropomorphic properties and qualities, can be in various psycho-emotional states: from a depressed mood to creative uplift and insight. The states of the agent change over time, which he informs the system about at specified points in time. It is assuming that all agents provide reliable information about their states to the system. Based on the data obtained, the system should determine the most and least stable agents and redistribute the functions and responsibilities between them to maximize own utility function. The task is characterizing by the need to analyze large volumes of subjective information and belongs to the class of difficulty formalized tasks. To solve it, fuzzy clustering algorithms that are well implementing in the Matlab software environment can be using.

关键词： intelligent active system intelligent agent Fuzzy clustering Creative solutions Coordination problem Optimization Agent status FCM algorithm

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Poster: Development of Communication Skills for Future Engineers Organizational Forms, Methods and Tools for Their Communication Skills Development at Foreign Language Classes 2nd

Poster: Development of Communication Skills for Future Engin...

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22nd International Conference on Interactive Collaborative Learning (ICL) / 48th IGIP International Conference on Engineering Pedagogy - Impact of the 4th Industrial Revolution on Engineering Education

作者： Khusainova, Guzel Rafaelevna Astafeva, Adelina Erkinovna Gazizulina, Liliya Rustemovna Fakhretdinova, Gulnaz Yakimova, Julia Yurievna Kazan Natl Res Technol Univ Kazan Russia Kazan Volga Fed Univ Kazan Russia

ISBN: (纸本)9783030402747;9783030402730

The analysis of the researches and the activity of modern engineer showed that his communication skills are a vital component of his professional competence nowadays. Having analyzed modern approaches to the development of communication skills we have designed organizational and pedagogical conditions for future engineers' communication skills development at foreign language classes. They include the organization of teaching process in cooperative groups, the use of portfolio method and mind maps, individual and cooperative, as cross-functional training devices and the use of interdisciplinary case-studies in professional field with the use of discussion moderation methods, according to the recommendations, developed to adapt a designed case to the knowledge and motivation level of each student's group. The ascertaining stage of our experiment showed that control and experimental groups have the same level of communication skills development which is insufficient.

关键词： Communication skills Model of communication skills development Future engineers

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Identifying Emerging Trends and Temporal Patterns About Self-driving Cars in Scientific Literature

Identifying Emerging Trends and Temporal Patterns About Self...

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Computer Vision Conference (CVC)

作者： Ayele, Workneh Y. Akram, Imran Stockholm Univ Dept Comp & Syst Sci Stockholm Sweden

ISBN: (纸本)9783030177980;9783030177973

Self-driving is an emerging technology which has several benefits such as improved quality of life, crash reductions, and fuel efficiency. There are however concerns regarding the utilization of self-driving technology such as affordability, safety, control, and liabilities. There is an increased effort in research centers, academia, and the industry to advance every sphere of science and technology yet it is getting harder to find innovative ideas. However, there is untapped potential to analyze the increasing research results using visual analytics, scientometrics, and machine learning. In this paper, we used scientific literature database, Scopus to collect relevant dataset and applied a visual analytics tool, CiteSpace, to conduct co-citation clustering, term burst detection, time series analysis to identify emerging trends, and analysis of global impacts and collaboration. Also, we applied unsupervised topic modeling, Latent Dirichlet Allocation (LDA) to identify hidden topics for gaining more insight about topics regarding self-driving technology. The results show emerging trends relevant to self-driving technology and global and regional collaboration between countries. Moreover, the result form the LDA shows that standard topic modeling reveals hidden topics without trend information. We believe that the result of this study indicates key technological areas and research domains which are the hot spots of the technology. For the future, we plan to include dynamic topic modeling to identify trends.

关键词： Self-driving car Clustering Term burst detection Time series analysis Visual analytics

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An Enhanced Evolutionary Algorithm for Detecting Complexes in Protein Interaction Networks with Heuristic Biological Operator 4th

An Enhanced Evolutionary Algorithm for Detecting Complexes i...

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4th International Conference on Soft computing and Data Mining (SCDM)

作者： Abduljabbar, Dhuha Abdulhadi Hashim, Siti Zaiton Mohd Sallehuddin, Roselina Univ Teknol Malaysia Fac Engn Sch Comp Johor Baharu Johor Malaysia Baghdad Univ Dept Comp Sci Baghdad Iraq

ISBN: (纸本)9783030360566;9783030360559

Detecting complexes in protein interaction networks is one of the most important topics of current computational biology research due to its prominent role in predicting functions of yet uncharacterized proteins and in diseases diagnosis. Evolutionary Algorithms (EAs) have been adopted recently to identify significant protein complexes. Conductance, expansion, normalized cut, modularity, and internal density are some well-known examples of complex detection models. In spite of the improvements and the robustness of predictive functions introduced by complex detection models based on EA and regardless of the general topological properties of protein interaction networks, inherent biological data of protein complexes has not, or rarely exploited and incorporated inside the methods as a specific heuristic operator. The aim of this operator is to guide the search process towards discovering hyper-connected and biologically related complexes by allowing a more effective exploration of the state space of possible solutions. Thus, the main contribution of this study is to develop a heuristic biological operator based on Gene Ontology (GO) annotations where it can serve as a local-common optimization approach. In the experiments, the performance of eight EA-based complex detection models has analyzed when applied on the yeast protein networks that are publicly available. The results give a clear argument for the positive effect of the proposed heuristic biological operator to considerably enhance the reliability of the current state-of-the-art optimization models.

关键词： Evolutionary algorithm Complex detection models Heuristic biological operator Gene ontology Protein complexes

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An Implementation of LTE MAC-Layer Channel Multiplexing and Scheduling Mechanism Porting Upon an FPGA Embedded System Platform to Support Massive NB-IoT Devices Accesses 13th

An Implementation of LTE MAC-Layer Channel Multiplexing and ...

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

作者： Tsai, Wen-Chung Huang, Nien-Ting Huang, Song-Hao Tsai, Ting-Ming Chaoyang Univ Technol Dept Informat & Commun Engn Taichung Taiwan Ind Technol Res Inst Informat & Commun Res Labs Hsinchu Taiwan

ISBN: (纸本)9783030222635;9783030222628

In the future, telecommunication must be able to provide ubiquitous and adequate wireless network resources to meet the needs of various applications of mMTC (Massive Machine-Type Communication). Specification of NBIoT (Narrow Band Internet of Things), as such, demands to increase the capacity for a larger number of connections with reasonable performance in operation. To face the development trend and to tackle the technological issues, in the implementation of NB-IoT eNB, it is feasible to utilize an acceleration function of our designed SG-DMA (Scatter-Gather Direct Memory Access) controller implemented in FPGA (Field Programmable Gate Array) to offload processing effort of multi-channel scheduling and enhance operation performance encapsulating a larger number of TBs in a short period. Accordingly, this paper introduces our porting efforts transferring a pre-implemented MAC-Layer function from a PC-Linux environment to an Intel-Altera FPGA development board.

关键词： Internet of things

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