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Thailand Automotive Industry: Road to smart Manufacturing 2020

Thailand Automotive Industry: Road to Smart Manufacturing

引用

2nd international conference on Management Science and Industrial Engineering, MSIE 2020

作者： Suebsook, Sasiwimon Chaveesuk, Singha Chaiyasoonthorn, Wornchanok Cope Consulting and Development Co. LTD. Bangpra Chonburi Thailand King Mongkut's Institute of Technology Ladkrabang Thailand

ISBN: (纸本)9781450377065

Rapid ICT growth has resulted in many technologies such as cloud computing, the Internet of Things (IoT), and big data. These innovations now reach almost all sectors including automotive sector which is one of the main industries in Thailand, In order to advance research and implementation of smart manufacturing, authors present a conceptual framework of smart manufacturing. Core innovations such as IoT, Cyber Physical Systems and Visual analytics for smart Manufacturing Systems will be captured on the basis of demonstrative scenarios. Also highlighted are today's challenges and future prospects. © 2020 ACM.

关键词： Automotive industry

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Energy Consumption and Time Delay optimization of MEC Based on MultiDimensional Game 5

Energy Consumption and Time Delay optimization of MEC Based ...

引用

5th IEEE international conference on Cloud computing and Big data analytics, ICCCBDA 2020

作者： Wang, Hui Wang, Yi Lu, Xingjun Hu, Yanjun Anhui University Key Laboratory of Intelligent Computing Signal Processing Ministry of Education Hefei230601 China Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China

ISBN: (纸本)9781728160245

Mobile edge computing (MEC) reduces latency and power consumption of mobile devices by deploying servers on the network edge. Due to the limited computing resources of the MEC server, excessive offloading of the users in local cells will bring unexpected queuing delay and high energy consumption. To deal with these problems, this paper proposes a Multi-user Queue Offloading multi-dimensional game algorithm (MQO). By the algorithm, users could choose the most suitable strategy, in which the strategy space is two-dimensional to satisfy different needs of different users to a certain extent, including the offload strategy and power control of users. Simulation results show that MQO can improve the performance of both overhead and offloading number with the increase of users. © 2020 IEEE.

关键词： Energy utilization

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Financing predicament of small and medium-sized foreign trade enterprises in China–based on big data analysis

Financing predicament of small and medium-sized foreign trad...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Li, Xuewei School of Economics Shanghai University Shanghai200072 China

ISBN: (纸本)9789811525674

With the steady expansion of the world economy, China’s import and export trade is booming day by day, and foreign trade has become a major factor to promote our country’s economic growth. As one of the economic subjects of external trade, small and medium-sized enterprises in foreign trade play an irreplaceable role. However, many small and medium-sized foreign trade enterprises encounter financing difficulties in the process of the development. On the foundation of big data analysis, with the starting point of the financing of small and medium-sized enterprises in foreign trade, firstly, this paper describes the present financing condition of the small and medium-sized enterprises in foreign trade as a whole, and then the reasons are analyzed. The reasons are divided as enterprises themselves, indirect financing, direct financing, private financing, and the government one by one. © Springer Nature Singapore Pte Ltd. 2020.

关键词： international trade

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Roger that! Learning How Laypersons Teach New Functions to intelligent Systems. 14

Roger that! Learning How Laypersons Teach New Functions to I...

引用

14th IEEE international conference on Semantic computing (ICSC)

作者： Weigelt, Sebastian Steurer, Vanessa Hey, Tobias Tichy, Walter F. Karlsruhe Inst Technol Inst Program Struct & Data Org D-76021 Karlsruhe Germany

ISBN: (纸本)9781728163321

intelligent systems are rather smart today but still limited to built-in functionality. To break through this barrier, future systems must allow users to easily adapt the system by themselves. For humans the most natural way to communicate is talking. But what if users want to extend the systems' functionality with nothing but natural language? Then intelligent systems must understand how laypersons teach new skills. To grasp the semantics of such teaching sequences, we have defined a hierarchical classification task. On the first level, we consider the existence of a teaching intent in an utterance;on the second, we classify the distinct semantic parts of teaching sequences: declaration of a new function, specification of intermediate steps, and superfluous information. We evaluate twelve machine learning techniques with multiple configurations tailored to this task ranging from classical approaches such as naive-bayes to modern techniques such as bidirectional LSTMs and task-oriented adaptations. On the first level convolutional neural networks achieve the best accuracy (96.6%). For the second task, bidirectional LSTMs are the most accurate (98.8%). With the additional adaptations we are able to improve both classifications distinctly (up to 1.8%).

关键词： Artificial neural networks Convolutional neural networks End user programming intelligent system Machine learning Natural language processing Natural language understanding Neural networks Programming in natural language Recurrent neural networks

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Personality feature model of innovation motivation and innovation ability based on big data analysis

Personality feature model of innovation motivation and innov...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Wang, Weiying Jilin Engineering Normal University Chang ChunJi Lin130052 China

ISBN: (纸本)9789811525674

With the improvement of productivity, the competition between different countries and enterprises shifts from the competition of materials and materials to the competition of talents. One of the characteristics of competitive talents is the ability to innovate. This paper focuses on human innovation motivation and innovation ability, and hopes to establish a personality trait model that can measure innovation ability. This paper mainly adopts the method of big data analysis, and takes the college students as the research object. Through the follow-up survey of 10,000 college students, the results show that the personality model of this paper is used to simulate the innovation ability, and the score and the salary after graduation are synchronized. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Key Technologies of Automobile Assembly intelligent Transfer Platform Based on Visual Perception

Key Technologies of Automobile Assembly Intelligent Transfer...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Lei, Yuefeng Li, Xiufen School of Hyundai Auto Rizhao Polytechnic RizhaoShandong276826 China

ISBN: (纸本)9783030627423

This paper designs a hanging carrier platform based on visual perception technology. The main purpose of the platform is to automatically carry the load to a place like a ceiling and hang it. In this paper, binocular stereo vision technology is used to detect the position of the load’s mounting point. Based on the principle of the Zhang type calibration method, MATLAB software programming was used to complete the calibration of the binocular camera, and then in-depth study of the Surf stereo matching algorithm, which is an accelerated and improved version of the scale-invariant feature transformation algorithm (Sift). This article obtains positioning errors through visual perception, and realizes closed-loop control of the movement of the transfer platform based on visual servos;the intelligent transfer platform control unit developed based on the Internet of Things technology can not only achieve precise positioning and positioning between the suspended conveyor line and the transfer platform Material transfer can also have the information interaction function between the transfer platform and the AGV, which can eliminate the positioning error with the AGV and automatically transfer the material. Studies have shown that after readjusting the installation position of the CD camera, the sudden change of the center of the circle is reduced after the lifting table is raised to the secondary positioning point. The transfer cycle of less than 45 s can effectively meet the cycle requirements of the annual output of 240,000 vehicles on the automobile assembly line. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： MATLAB

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Real-Time Footfall Prediction Using Weather data: A Case on Retail analytics 3rd

Real-Time Footfall Prediction Using Weather Data: A Case on ...

引用

international conference on data Management, analytics and Innovation (ICDMAI)

作者： Makkar, Garima Tata Consultancy Serv Bangalore Karnataka India

ISBN: (纸本)9789813299498;9789813299481

Be it a retailer, producer, or supplier, the weather has a substantial effect on each one of them. Climate variability and weather patterns have become critical success factors in retail these days. As a matter of fact, weather forecasting has become a $3 billion business now. One of the main reason behind this surge is the capability of the forecasters to sell weather-related information to businesses who then strategize their various decisions regarding inventory, marketing, advertising, etc. accordingly. Hence only those retailers who stay "ahead of the game" will be able to enjoy huge sales while others who do not would face the consequences. Various studies regarding change in consumer behavior occurring due to the change in weather conditions have shown that even a degree change in temperature affects the store's traffic and reflect the growing importance of predictive analytics in this domain. However, these studies incorporate only the historical weather statistics into account. In this paper, we will propose our methodology for footfall analytics to see how the changes in weather conditions will impact the retail store's traffic and thereby retailing value chain, using real-time weather forecasts and footfall data. This analysis provides a platform for retailers to make evidence-driven decisions and strategize their business plan which would help them to deepen the customer involvement and to get efficiency in the planning process.

关键词： Footfall Retail Retailers Real time Weather

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New Learning Architecture for Effective Interoperability of Learner's data Management 1

引用

2nd international conference on Advanced intelligent Systems for Sustainable Development (AI2SD)

作者： Nehiri, Nissrin Aknin, Noura Abdelmalek Essaadi Univ TIMS Res Unit LIROSA Lab Tetouan Morocco

ISBN: (数字)9783030366537

ISBN: (纸本)9783030366537;9783030366520

The Learners of the current generation have grown up with digital technologies. However, these new sets and ability to learn whenever wherever are highly appreciated by learners and educators. In the context of the learning analytics and adaptation, this evolution creates various challenges, such as the learner's data tracking and interoperability between learning systems. In this paper we shortly describe the xAPI, compare it to its predecessor of learner profile standards interoperability and present our proposed architecture to provide an interoperable exchanged learner's profile exploiting the features offered by xAPI. Furthermore, this solution offer adapted learning content to the learner according to his formal and informal activities, which are monitored via xAPI.

关键词： Learner profile Interoperability xAPI Learning management systems

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Internet of Things (IoT) and Deep Neural Network-Based intelligent and Conceptual Model for smart City 7th

Internet of Things (IoT) and Deep Neural Network-Based Intel...

引用

7th international conference on Frontiers of intelligent computing: Theory and Applications, FICTA 2018

作者： Gautam, Kalpna Puri, Vikram Tromp, Jolanda G. Nguyen, Nhu Gia Van Le, Chung GNDU Regional Campus Jalandhar India R&D Center of Simulation and Virtualization Duy Tan University Danang Viet Nam Graduate School Duy Tan University Danang Viet Nam

ISBN: (纸本)9789813291850

The concept of smart city holds many definitions on the meaning of smart word: Digital City, Internet-connected city, intelligent city. A smart city uses the information and communication technology to make efficient consumption of limited resources, like water, mobility, and space. Many studies have already been conducted in the context of implementation of IoT-based smart cities, but the main issue is analysis of collected data on the server. This paper focuses on developing prototypes of smart city in three categories: (1) smart building, (2) smart farming, and (3) smart parking and street lights. A real-time analysis will be done on the data collected by different sensors to discuss the exact status of factor. We present the implementation of a deep neural network aimed at reducing the complexity of the huge amount of data collected at cloud server. © 2020, Springer Nature Singapore Pte Ltd.

关键词： smart city

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Tolerance of the General Public to Homosexuality Based on Big data Analysis

Tolerance of the General Public to Homosexuality Based on Bi...

引用

international conference on Application of intelligent Systems in Multi-modal Information analytics, MMIA 2020

作者： Jin, Pengnian Wan, Xiao No. 51 ZJ Road XH District HangzhouZhejiang China

ISBN: (纸本)9783030514303

As we all know, China’s legislation on same-sex marriage has not been established so far. Public opinion is an important factor affecting legislation. The purpose of this study is to explore the tolerance degree of the general public towards homosexuality, Which can provide some reference for our same-sex marriage legislation. The significance of this study is to break the state of mutual isolation between homosexuals and the general public directly, so as to enhance the effective communication between the two groups and promote mutual understanding and tolerance. In terms of research methods, this paper selects several representative functional factors and United States Employment Service (USES), relevant parameters of comprehensive social survey to evaluate the inclusiveness of the general public. The study of this paper found that: compared with men, women are more tolerant of homosexual sexual behavior;With the increase of the age range, the public’s tolerance of homosexual sex tends to decrease. Among people with advantages in income and education, they also show more understanding and tolerant attitude towards homosexual sex. The general public’s tolerance of gay sex will increase as they learn more about gay sex on the Internet. However, it should be noted that there are group differences in the gain effect of the Internet, which is mainly manifested in the fact that women, urban residents, highly educated people and some young people influenced by the Internet are more affected by this effect. © 2021, Springer Nature Switzerland AG.

关键词： Big data

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