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检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"

共 788 条记录，以下是261-270 订阅

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Data-driven intelligent evaluation of injection-production well pattern 8

Data-driven intelligent evaluation of injection-production w...

引用

8th IEEE Data Driven Control and Learning Systems conference, DDCLS 2019

作者： Yu, Di Cao, Rongmin Li, Rui School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781728114545

Aiming at the time-varying complexity of heterogeneous reservoirs and the current problem of massive data and tiny information in oilfields, an intelligent evaluation system of injection-production well pattern is developed based on data-driven method and computing with words idea in the paper. At first, based on the digital filtering approach, the production data of oil field is processed and the estimation of injection-production relationship is calculated. Secondly, the enhanced interval approach is used to encode the descriptive words of geological information and injection-production relationship so as to obtain the code book. thirdly, According to the useful rule bases and perceptual reasoning outputs of oil field production evaluation obtained in the preliminary work, the recommended output of decision is obtained by using the decoder according to Jaccard similarity measure based interval type-II fuzzy sets. Finally, the effectiveness and practicability of the proposed scheme is testified by production example of inverted nine-point well-pattern of heterogeneous reservoirs with channel sedimentation with the aid of expert verification. © 2019 IEEE.

关键词： Fuzzy sets

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Classification of drainage patterns of the blast furnace hearth 8

Classification of drainage patterns of the blast furnace hea...

引用

8th international conference on Modeling and Simulation of Metallurgical Processes in Steelmaking, STEELSIM 2019

作者： Roche, M. Helle, M. Van Der Stel, J. Louwerse, G. Saxén, H. Thermal and Flow Engineering Lab. Åbo Akademi University Åbo20500 Finland Tata Steel Research and Development P.O. Box 1000 IJmuiden1970CA Netherlands

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An Efficient Two Factor Authentication Scheme Providing Secure Communication in Mobile Cloud computing 8

An Efficient Two Factor Authentication Scheme Providing Secu...

引用

8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019

作者： Madhusudhan, R. Suvidha, K.S. Department of Mathematical and Computational Sciences National Institute of Technology Karnataka Surathkal Mangalore India

ISBN: (数字)9781728163345

ISBN: (纸本)9781728163345

Integration of mobile networks with cloud computing platform led to development of mobile cloud computing. Since the communication between mobile devices and the cloud computing occur over wireless medium, securing the network becomes paramount. With the thorough literature survey, we found that many two factor authentication schemes proposed so far to preserve user anonymity are vulnerable to various security attacks, they also had shortcomes to achieve security goals. To overcome the issues related to the two factor authentication schemes in mobile cloud computing, a new scheme is proposed. Furthermore, we have simulated the proposed scheme using widely accepted AVISPA (Automated Validation of Internet Security Protocols and Applications) tool. With the simulated result of the proposed scheme, we show that the proposed scheme is secure against active and passive security attacks. Additionally, the proposed scheme is compared with Gope and Hwang's scheme and other related schemes in terms of computational cost and communication overhead. the proposed scheme is efficient, robust and suitable for practical implementation. © 2019 IEEE.

关键词： Smart cards

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Hash Based Integrity Verification for Vehicular Cloud Environment 8

Hash Based Integrity Verification for Vehicular Cloud Enviro...

引用

8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019

作者： Hegde, Nayana Manvi, Sunilkumar ECE Department HKBK College of Engineering Bangalore India School of Computing and Information Technology REVA University Bangalore India

ISBN: (纸本)9781728163345

Vehicular Cloud computing (VCC) facilitates the customers to share resources ranging from storage to computing power to renting it to other users over the internet. VCC technology is combination of VANET and cloud computing. However, this integration of vehicular network and cloud computing introduces new challenges for the research community. For security reasons, users would like to verify the integrity of their data once storing it in the VCC. In this paper, we will introduce a scheme for the integrity checking with the support of the Road Side Unit (RSU) for dynamic vehicular cloud. the hash functions and signatures are employed for integrity checking of messages which are uploaded from the vehicle to the cloud. We have analysed effectiveness of proposed scheme against typical attacks like tampering attack, node impersonation and application attack etc. Extensive simulations are conducted to verify the performance of the proposed scheme and the results are compared with existing research based on ID-based cryptographic scheme. the proposed scheme performs better in terms of computation cost and communication cost. © 2019 IEEE.

关键词： Hash functions

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Twitter user geolocation based on heterogeneous network and label propagation 8

Twitter user geolocation based on heterogeneous network and ...

引用

8th international conference on computing and pattern recognition, ICCPR 2019

作者： Tian, Hechan Qiao, Yaqiong Liu, Yimin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan*** China

ISBN: (纸本)9781450376570

Twitter user geolocation is applied into various applications, such as local messages recommendation and event location recognition. Existing methods do not usually utilize the potential positional correlation between heterogeneous information, resulting in low user geolocation accuracy. therefore, this paper proposes a user geolocation method based on heterogeneous network and label propagation. First, a heterogeneous network is built based on heterogeneous information mined from user tweets. then, by analyzing the factors that impact the efficiency and accuracy of label propagation, redundant nodes and edges in the initialized heterogeneous network are removed. Finally, the locations of unlabeled users are geolocated through label propagation in the simplified heterogeneous network. Experiments on the publicly available Twitter benchmark dataset show that proposed method accurately locate 57% of users within 161 km of their locations, a significant improvement over several existing methods. © 2019 Association for computing Machinery.

关键词： Heterogeneous networks

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Acoustic Scene Classification by Enhanced High-Frequency Weak Signal Characteristic Spectrum 19

Acoustic Scene Classification by Enhanced High-Frequency Wea...

引用

proceedings of the 2019 8th international conference on computing and pattern recognition

作者： Wenjie Hao Lasheng Zhao Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University

ISBN: (纸本)9781450376570

In the acoustic scene classification task, the method of using mel-spectrogram to express the acoustic scene information is widely applied. However, mel-spectrogram has defects and it ignores important information about some acoustic scenes. the paper improves the mel-spectrogram and its generation algorithm. Including: I. For the sensitivity of the acoustic scene to high-frequency acoustic signals, the paper changes the filter design method of Mel Frequency Cepstrum Coefficient (MFCC). this method preserves more high frequency information by applying the equal-height triangular filter banks and increasing the number of the filters. II. Based on the previous step, an enhancement algorithm is proposed for the problem of the lack of high-frequency weak signals in the characteristic spectrum. the algorithm performs nonlinear mapping on the mel-spectrogram, which makes the transformed high-frequency weak signal feature information more obvious. the algorithm is verified by DCASE 2018 acoustic scene classification dataset and LITIS ROUEN dataset. the experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： MFCC weak signal feature extraction Acoustic scene classification

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An ETL pattern for log configuration and analysis 4

An ETL pattern for log configuration and analysis

引用

4th international conference on Big Data Analytics, Data Mining and Computational Intelligence 2019, BigDaCI 2019 and the 8th international conference on theory and Practice in Modern computing 2019, TPMC 2019

作者： Oliveira, Bruno Oliveira, Óscar Matos, Telmo Santos, Vasco Belo, Orlando CIICESI School of Management and Technology Porto Polytechnic Felgueiras Portugal ALGORITMI R and D Centre University of Minho Campus de Gualtar Braga Portugal

ISBN: (纸本)9789898533920

In many scenarios, such as the ones related to Data Warehousing Extract-Transform-Load (ETL) processes, logging techniques are usually applied for capturing event metrics across system levels for system auditing and system recovery. the diversity of strategies and architectures of the toolset used to support the ETL implementation introduces another layer of complexity, both for system development and audit. Although a valuable system diagnosis resource for the development team, logging is generally underestimated, being used only when the system reveals unexpected behaviours and not to drive the ETL system evolution. We believe that the use of logs for steering ETL development and maintenance can improve significantly global system quality. However, this approach is only effective if flexible and efficient logging systems exist. In this paper, we describe a Log pattern used in a pattern-oriented approach for ETL systems development, which provides a configurable and flexible component for using to drive ETL development and maintenance phases. © Multi conference on Computer Science and Information Systems, MCCSIS 2019. All rights reserved.

关键词： Data warehouses

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Credit Card Fraud Detection based on CSat-Related AdaBoost 19

Credit Card Fraud Detection based on CSat-Related AdaBoost

引用

proceedings of the 2019 8th international conference on computing and pattern recognition

作者： Yue Yang Chenyuan Liu Ningning Liu School of Information Technology and Management University of International Business and Economics School of Insurance and Economics University of International Business and Economics

ISBN: (纸本)9781450376570

In the field of Financial Technology, machine learning provides important support for decision-making through the effective use of data. Credit card fraud detection technology is a good example, but it still faces two challenges: the unbalanced data sets and cost-sensitive characteristics. In this paper, we proposed an enhanced CSat (Customer Satisfaction)-related AdaBoost. Based on the traditional AdaBoost, we consider the expected loss of the impact of customer satisfaction and re-adjust the weight of different categories in the cost adjustment function of the basic classifier. Considering the serious consequences of fraud transactions, we also implemented a metric related to the Total Profit of Classification (TPC) to evaluate performance. the results show that the CSat-related AdaBoost performed better in F1-score and AUC score compared to the traditional AdaBoost and some mainstream models, the reliability and interpretability of TPC as an evaluation metric is also demonstrated in our paper.

关键词： Cost-sensitive learning credit card fraud financial fraud detection class-imbalance problem AdaBoost customer satisfaction machine learning

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REVIEW OF FAULT DIAGNOSIS MEthODS FOR ROTATING MACHINERY BASED ON DEEP LEARNING

REVIEW OF FAULT DIAGNOSIS METHODS FOR ROTATING MACHINERY BAS...

引用

the 8th international Symposium on Test Automation &Instrumentation (ISTAI 2020)

作者： Y. L. Guo G. X. Wu X. L. Liu X. L. Xu The Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science&Technology University Beijing China

Mechanical equipment fault diagnosis technology is a new research field with the development of modern science and technology In recent years, the deep learning has been applied into the field of mechanical equipment fault diagnosis by more and more researchers. Deep learning has been widely applied in various in dustries and fields with its unique advantages in feature extraction and pattern recognition. the development history of deep learning is first briefly reviewed. then, four fault diagnosis methods based on deep learning model are emphatically analyzed com bined with the characteristics and requirements of fault diagnosis technology for large rotating machinery equipment, and the problems and challenges they face are discussed. Finally, the research direction worth to be carried out in the future is prospected.

关键词： fault diagnosis mechanical engineering computing feature extraction machinery learning (artificial intelligence)

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Intelligent Meters for Urban Domestic Water Consumption 8

Intelligent Meters for Urban Domestic Water Consumption

引用

8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019

作者： Phal, Shubham Milind Girish Rao Salanke, N.S. Shobha, G. Prapulla, S.B. Department of Computer Science and Engineering R v College of Engineering Bengaluru India

ISBN: (数字)9781728163345

ISBN: (纸本)9781728163345

Water scarcity is a burgeoning problem of our society. Population expansion and the proliferation of apartments in cities have put tremendous pressure on potable water. Smart water meters that monitor consumption, have been increasingly deployed to encourage people against consuming excessive water, by making them aware of their consumption on a daily to monthly basis. However, the efforts in achieving the desired outcomes of conservation have been unsatisfactory, largely due to the negligence of the consumer and the inability of the systems to pre-empt such attitudes. this paper describes a novel system that corroborates positive attitudes towards water conservation. the proposed system consists of a smart card based, intelligent water meter that is based on IoT and uses a differential consumer pricing policy and an embedded seasonal auto regressive integrated moving average (SARIMA) model to forecast water bills at the edge. © 2019 IEEE.

关键词： Edge computing

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