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3rd international conference on E-Business, Information Management and computer Science, EBIMCS 2020

作者： Mei, Yu Business School Chengdu College of University of Electronic Science and Technology of China 611731 China

ISBN: (纸本)9781450389099

With the deepening of the construction of "Belt and Road ", the countries along the route have gradually become China's most important trading partners, and the"Belt and Road "economic and trade cooperation network constructed by trade relations has been formed. Under the background of the high quality development of "Belt and Road ", China's manufacturing industry has been deeply embedded in the global value chain and economic and trade network. Its development and upgrading are not only restricted by the global economic and trade network, but also affect the global economic and trade network relationship. China's trade globalization will be further upgraded in the future. How will it affect the "Belt and Road"trade network and whether it will affect China's position in the trade value chain? This has become an important topic of practical value. Based on the data of bilateral investment between 55 countries in the world in 2003∼2011, this paper describes the characteristics of a country's OFDI network from three dimensions: network centrality, network connection intensity and network heterogeneity, and empirically tests the influence of the characteristics of a country's OFDI network on its global value chain division of labor and global value chain participation. © 2020 ACM.

关键词： international trade

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Analysis of fuel consumption characteristics: Insights from the indian human development survey using machine learning techniques 3rd

Analysis of fuel consumption characteristics: Insights from ...

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3rd international conference on Computational Intelligence and Informatics, ICCII 2018

作者： Sundar, K. Shyam Khare, Sangita Gupta, Deepa Jyotishi, Amalendu Department of Computer Science & Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Department of Management Amrita School of Business Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9789811514791

There are two main factors that need to be considered when using fuel—ecology and economy. Ecologically, the fuels that are clean (fuel that emits less or no CO2 ) are more efficient than the ones that are not clean. Economically, such clean fuels are costly compared to their counterparts. The Indian Human development Survey (IHDS-II) 2011–12 data set provides the usage details on six different types of fuel for over 42000 households in India. This paper shows the details of the requirements and processes taken to classify the data set based on the fuel usage variables. The results are obtained using machine learning techniques on the data set to determine the factors that are responsible for the use of clean fuel over non-clean fuel in households. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Fuels

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How feature fusion can help to improve multi-shot person re-identification performance? 3

How feature fusion can help to improve multi-shot person re-...

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3rd international conference on Multimedia Analysis and Pattern Recognition, MAPR 2020

作者： Nguyen, Thuy-Binh Nguyen, Trong-Nghia Nguyen, Hong-Quan Le, Thi-Lan Pham, Thi Thanh Thuy School of Electronics and Telecommunications Hanoi University of Science and Technology Viet Nam Computer Vision Department Mica International Research Institute Hanoi University of Science and Technology Viet Nam Faculty of Electrical and Electronics Engineering University of Transport and Communications Hanoi Viet Nam Faculty of Information Technology Viet-Hung Industrial University Hanoi Viet Nam Academy of People Security Hanoi Viet Nam

ISBN: (纸本)9781728165554

Person re-identification (ReID)-a problem of associating the images of the same person from different camera views, can be divided into two categories of multi-shot and single-shot depending on the number of images used for person representation. Numerous methods have been proposed for person ReID. However, these studies focus either on feature extraction for person representation or metric learning for person matching. Taking into account that each feature has its own representation power for each individual, in this paper, we focus on improving person ReID performance through feature fusion. For this, first we formulate multi-shot person ReID as an information retrieval problem where each person in probe is considered as a query person. Inspired the idea of query-adaptive late fusion proposed for image retrieval in [1], we propose two adaptive late fusion schemes for multi-shot person ReID. To show the robustness of the fusion schemes, we integrate them in a multi-shot person ReID framework where both hand-crafted and deep-learned features are extracted. Experimental results obtained on two benchmark datasets of PRID-2011 and iLIDS-VID show that the matching rates at rank-1 increased up to 5.65% and 14.13% on PRID-2011 and iLIDS-VID, respectively. © 2020 IEEE.

关键词： computer vision

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Analysis of Value Chain Position Based on SNA international Trade in the Context of Belt and Road 2020

Analysis of Value Chain Position Based on SNA International ...

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Proceedings of the 2020 3rd international conference on E-Business, Information Management and computer Science

作者： Yu mei Business School Chengdu College of University of Electronic Science and Technology of China

ISBN: (纸本)9781450389099

With the deepening of the construction of "Belt and Road ", the countries along the route have gradually become China's most important trading partners, and the" Belt and Road "economic and trade cooperation network constructed by trade relations has been formed. Under the background of the high quality development of "Belt and Road ", China's manufacturing industry has been deeply embedded in the global value chain and economic and trade network. Its development and upgrading are not only restricted by the global economic and trade network, but also affect the global economic and trade network relationship. China's trade globalization will be further upgraded in the future. How will it affect the "Belt and Road" trade network and whether it will affect China's position in the trade value chain? This has become an important topic of practical value. Based on the data of bilateral investment between 55 countries in the world in 2003~2011, this paper describes the characteristics of a country's OFDI network from three dimensions: network centrality, network connection intensity and network heterogeneity, and empirically tests the influence of the characteristics of a country's OFDI network on its global value chain division of labor and global value chain participation.

关键词： SNA Global value chain Foreign trade

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Evaluation on The development Level of Service Industry about Sub-Provincial Cities in China 3

Evaluation on The Development Level of Service Industry abou...

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3rd international conference on Data Science and Business Analytics (ICDSBA)

作者： Xiao, Lei Li, Xin Lin, Chenlu Zhongnan Univ Econ & Law Sch Stat & Math Wuhan Peoples R China

ISBN: (纸本)9781728146447

This paper establishes service industry development level evaluation model, and uses the city panel data from 2011 to 2016 to comprehensively evaluate the development level of 15 sub-provincial city service industries. research shows that the overall developing level of the service industry is on the rise and the contribution to the economy is increasing. However, the regional development is obviously different, and the overall performance is characterized by "high east and low west". The developing level of service industry in northeast coastal urban is generally higher than that in the Midwest region of China.

关键词： sub-provincial city development level of service industry evaluation model

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Characteristics of Lightning Trends in Peninsular Malaysia from 2011 to 2016 3

Characteristics of Lightning Trends in Peninsular Malaysia f...

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3rd international conference on Electrical Engineering and computer Science (ICECOS)

作者： Rufus, Shirley Anak Ahmad, N. A. Abdul-Malek, Z. Abdullah, Noradlina Univ Malaysia Sarawak Dept Elect & Elect Engn Sarawak Malaysia Univ Teknol Malaysia Sch Elect Engn Inst High Voltage & High Current IVAT Johor Baharu Malaysia TNB Res Sdn Bhd Lightning & Earthing Unit Kajang Selangor Malaysia

ISBN: (纸本)9781728147147

Lightning is a powerful natural phenomenon, known to affect power utilities, structures, and either injured or kill a number of people and might cause large financial losses to the country both directly and indirectly. Therefore, an accurate and reliable lightning detection system is essential to enhance knowledge and awareness to forecast and identify occurrences of lightning activity. This paper focusses on the lightning trends at southern region of Peninsular Malaysia from 2011- 2016 which utilized historical data from Lightning Detection System Network System, operated by TNB research Sdn Bhd. The mean distributions, the percentage and the peak current of the lightning strikes were investigated. The relationship of the lightning trends with the main monsoon season were also evaluated. The evaluation results show that the monsoonal variation due to the shift of monsoon seasons (April- May and October- November) increased the lightning activity at the studied region. Furthermore, it is also found that a significant increase in lightning activity were observed due to the system upgrades in 2016 which reflected by the sensitivity in location accuracy and detection efficiency of the system.

关键词： Lightning strikes lightning trends monsoon seasons

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NeuroEvolution : Using Genetic Algorithm for optimal design of Deep Learning models. 3

NeuroEvolution : Using Genetic Algorithm for optimal design ...

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3rd IEEE international conference on Electrical, computer and Communication Technologies: computer Science and Engineering, ICECCT 2019

作者： Akut, Rohan Kulkarni, Siddhivinayak Electronics and Telecommunication Dept. MIT College of Engineering India Department of Computer Science and Engineering MIT-WPU Pune India

ISBN: (纸本)9781538681572

Convolutional Neural Networks (CNN) have proved to be influential in image classification techniques. However, CNN has not proved much useful in time series prediction. This is because of the causal nature of time series data. With proper modifications in the architecture of CNN the model can perform well on time series prediction as well. However, the modification and design of CNN architecture require expertise and knowledge of data. In order to tackle this problem, a genetic algorithm solution is proposed, that designs its own optimal CNN architecture and was proved useful in predicting time series data. The robustness and accuracy of the model were tested on our dataset and compared with an RNN architecture. It was found that the CNN model performed well irrespective of the duration of prediction and these results are comparable to state of the art optimal RNN models. © 2019 IEEE.

关键词： Genetic algorithms

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The zebrafish: A research model to understand the evolution of vertebrate immunity

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FISH & SHELLFISH IMMUNOLOGY 2019年 90卷 215-222页

作者： Garcia-Moreno, Diana Tyrkalska, Sylwia D. Valera-Perez, Ana Gomez-Abenza, Elena Perez-Oliva, Ana B. Mulero, Victoriano Univ Murcia Fac Biol Dept Biol Celular & Histol Murcia Spain Inst Murciano Invest Biosanitaria IMTB Arrixaca Murcia Spain

The zebrafish has unique advantages for understanding the evolution of vertebrate immunity and to model human diseases. In this review, we will firstly give an overview of the current knowledge on vertebrate innate immune receptors with special emphasis on the inflammasome and then summarize the main contribution of the zebrafish model to this field, including to the identification of novel inflammasome components and to the mechanisms involved in its activation, assembly and clearance of intracellular bacteria.

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Prediction of brain functional connectivity based on bayesian model 3

Prediction of brain functional connectivity based on bayesia...

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3rd IEEE international conference on Electronic Information Technology and computer Engineering, EITCE 2019

作者： Liu, Zhi Sang, Guoming Zhang, Bing Dalian Maritime University Department of Computer Science and Technology Dalian China

ISBN: (数字)9781728135847

ISBN: (纸本)9781728135847

Aiming at the complex spatiotemporal correlation of longitudinal neuroimaging data, this paper proposes a brain function connection prediction method based on spatial correlation and dynamic features. The method uses a conditional autoregressive model to capture the spatial correlation between adjacent voxels and combines it with the dynamic Bayesian model to overcome the existing brain function connection prediction method, considering only time correlation, predicting a single time period, and avoiding simultaneous consider the defects of voxel-level connections. This paper selects the data in the ADNI database to verify the prediction method. The experimental results show that the proposed method can obtain robust and accurate brain function connection prediction results in AD group and control group, thus achieving the implementation of mental illness. Early intervention helps doctors make clinical decisions and prevent serious consequences of mental illness. © 2019 IEEE.

关键词： Forecasting

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A Systematic Mapping Study on Software Architectures Description Based on ISO/IEC/IEEE 42010:2011 19th

A Systematic Mapping Study on Software Architectures Descrip...

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19th international conference on Computational Science and Its Applications (ICCSA)

作者： Junior, Ademir A. C. Misra, Sanjay Soares, Michel S. Univ Fed Sergipe Av Marechal Rondon S-N Sao Cristovao Brazil Convenant Univ KM 10 Idiroko Rd Ota Nigeria

ISBN: (纸本)9783030243081

Software architecture is considered an important area of Software Engineering, as it is useful for managing the development and maintenance of large scale software-intensive systems. Due to Software Architecture importance, the ISO/IEC/IEEE 42010:2011 standard was published in 2011. In this paper, we present a Systematic Mapping Study (SMS) for describing studies that explicitly used the ISO/IEC/IEEE 42010:2011 standard, and identifying which parts of this standard were most considered in the literature. Through the research, we selected 19 papers published between 2007 and September 2018. One interesting result is that ISO/IEC/IEEE 42010:2011 standard has been used, and its presence in papers has increased since 2016. However, parts of the standard are still not considered in practice. Industry and academia can still benefit from learning and improve the use of ISO/IEC/IEEE 42010:2011. Based on our findings, we suggest further research to analyze all the aspects of the standard as well as an industrial study.

关键词： ISO/IEC/IEEE 42010:2011 Software architecture Architecture description Systematic Mapping Study

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