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

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A Study of Deterioration in Classification Models in Real-Time Big Data Environment 4th

A Study of Deterioration in Classification Models in Real-Ti...

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4th International Conference of Reliable Information and Communication Technology (IRICT)

作者： Uddin, Vali Rizvi, Syed Sajjad Hussain Hashmani, Manzoor Ahmed Jameel, Syed Muslim Ansari, Tayyab Hamdard Univ Fac Engn Sci & Technol Karachi Pakistan Univ Teknol PETRONAS Dept Comp & Informat Sci Seri Iskandar Perak Malaysia

ISBN: (纸本)9783030335823;9783030335816

Big Data (BD) is participating in the current computing revolutions. Industries and organizations are utilizing their insights for Business Intelligence (BI). BD and Artificial Intelligence are one of the fundamental pillars of Industrial Revolution (IR) 4.0. IR 4.0 demands real time BD analytic for prediction and classification. Due to complex characteristics of BD (5 V's), BD analytics is considered a difficult task in offline mood. However, in real time or online mood, BD analytic become more challenging and requires Online Classification Models. In real time mood, the nature of input streams (input data) and target classes (output class) are dependent and non-identically distributed, which cause deterioration in OCM. Therefore, it is necessary to identify and mitigate the causes of this deterioration in OCM and improve OCM performance in RTBDE. This study investigates some fundamental causes of deterioration of Online Classification Models and discusses some possible mitigation approaches. This study also presents some experimental results to show the deterioration in OCM due to real time big data environment. In the future, this study will propose a method to mitigate deterioration in Online Classification Models.

关键词： Big Data Real-time machine learning Stream analytics Online Classification

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Selection of Personnel Based on Multicriteria Decision Making and Fuzzy Logic

Selection of Personnel Based on Multicriteria Decision Makin...

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Computer Vision Conference (CVC)

作者： Santiago, Zapata C. Luis, Escobar R. Ricardo, Lopez N. Technol Metropolitan Univ State Chile UTEM Dept Informat & Comp Fac Engn Jose Pedro Alessandri 1242 Santiago 8330378 Chile

ISBN: (纸本)9783030177980;9783030177973

The recruitment of new workers in a company is a critical and crucial decision due to the fact that employees are the basis, fundament and main support of their working environment. Following the objective of minimizing subjectivity and the excessive use of assumptions as a valid skill for choosing the proper candidate to fulfill a work place in a company, an attractive method for choosing staff based on Multicriterio Decisions Making and Fuzzy Logic is proposed, in a mathematical model through the multicriterio technique known as TOPSIS.

关键词： Fuzzy Logic Personnel selection Multicriteria Decision Making TOPSIS

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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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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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Multi Criteria Method for Determining the Failure Resistance of Information System Components 4th

Multi Criteria Method for Determining the Failure Resistance...

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Future Technologies Conference (FTC)

作者： Boranbayev, Askar Boranbayev, Seilkhan Nurusheva, Assel Seitkulov, Yerzhan Nurbekov, Askar Nazarbayev Univ Astana Kazakhstan LN Gumilyov Eurasian Natl Univ Astana Kazakhstan

ISBN: (纸本)9783030325237;9783030325220

The study is devoted to determining the level of failure resistance of the components of an information system in order to increase the reliability of the most vulnerable components. A multi-criteria method is proposed for determining the fault tolerance of information system components. Information system components act as alternatives. Alternatives are described by a set of criteria. Each criteria has its own direction of optimization and a unit of measurement. To obtain comparable scales of criteria values, normalization was done. The estimation of additional coefficients is made. The criteria weights are determined on the basis of expert estimates.

关键词： Information system Criterion Fault tolerance Expert assessment

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Artificial Intelligence in Service Delivery systems: A Systematic Literature Review 8th

Artificial Intelligence in Service Delivery Systems: A Syste...

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World Conference on Information systems and Technologies (WorldCIST)

作者： Reis, Joao Amorim, Marlene Cohen, Yuval Rodrigues, Mario Aveiro Univ GOVCOPP Dept Econ Management Ind Engn & Tourism Aveiro Portugal Afeka Coll Engn Dept Ind Engn Tel Aviv Israel Univ Aveiro IEETA Aveiro Portugal Univ Aveiro ESTGA Aveiro Portugal

ISBN: (纸本)9783030456870;9783030456887

Artificial intelligence (AI) is transforming the 21st century service industries. With increased availability of virtual channels, new approaches to resource management are required for effective service delivery. A notable example is Amazon, which is reshaping itself with AI-based technologies, relying on robot service delivery systems, either through faster inventory checks or product delivery that reached unprecedented speed. This study provides an overview of the existing theory concerning the next generation of AI technologies that are revolutionizing the service delivery systems (SDS). To this end, we have systematically reviewed the literature to identify and synthesize the existing body of knowledge and update academics and practitioners regarding the latest AI developments on the SDS's. This article argues that AI technologies are driving the service industry and have had promising results in reducing the service lead time while is being more cost-effective and error-free. Future studies should contribute to strengthen the theoretical production, while AI is being continuously reinforced with new empirical evidence.

关键词： Artificial intelligence Service delivery systems Systematic literature review

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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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A Basic Framework of Blockchain-Based Decentralized Verifiable Outsourcing 11th

A Basic Framework of Blockchain-Based Decentralized Verifiab...

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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： Wang, Han Wang, Xu An Wang, Wei Xiao, Shuai Engn Univ PAP Key Lab Network & Informat Secur PAP Xian 710086 Shaanxi Peoples R China Engn Univ PAP Xian 710086 Shaanxi Peoples R China

ISBN: (纸本)9783030290351;9783030290344

With the development and application of blockchain technology, more and more fields are beginning to use blockchains for industrial innovation, In recent years. At the same time, the data integrity verification techniques based on blockchain have also attracted wide attention of researchers. However, the state-of-the-art schemes are only using the structure of the blockchain on centralized server which cannot leverage the characteristics of the blockchain and resist malicious modification attacks. In addition, the centralized blockchain structure introduces additional storage and computing costs. In this paper, we propose a decentralized verifiable outsourcing framework based on blockchain networks, in which no administrators are required to be in charge of auditing and recording data changes.

关键词： Blockchain

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Counter-Rail Special Profile for New Generation Railroad Switch 20th

Counter-Rail Special Profile for New Generation Railroad Swi...

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20th Annual International Scientific Conference on Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT)

作者： Glusberg, Boris Savin, Alexander Loktev, Alexey Korolev, Vadim Shishkina, Irina Chernova, Lidia Loktev, Daniil Railway Res Inst Third Mytishchenskaya 10 Moscow 107996 Russia Russian Univ Transport Russian Open Acad Transport Chasovaya Str 22-2 Moscow 125190 Russia Moscow State Univ Civil Engn Yaroslayskoye Shosse 26 Moscow 129337 Russia

ISBN: (纸本)9783030197568;9783030197551

Studies of the strain-stress distribution of the flange rail assemblies using mathematical modeling methods for the flange rail assemblies of various designs are presented. The characteristics of variants of special profiles are given. The proposal on the expediency of application of the optimized flange rail in the railroad switches construction of modern is formulated.

关键词： Railway track Railroad switches Flange rail special profile Mathematical modeling Optimization

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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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