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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

共 3246 条记录，以下是1631-1640 订阅

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Application of Deep Learning Algorithm Based on Multimodal Regularization in Detection Robot Grasping

Application of Deep Learning Algorithm Based on Multimodal R...

引用

international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Liu, Shunan Wang, Xiaoli Huang, Haidong Changchun Univ Sci & Technol Changchun Jilin Peoples R China Jilin Univ Changchun Jilin Peoples R China

ISBN: (纸本)9783030152352;9783030152345

This paper uses the depth learning method to settle the question of robot detection and capture in the RGB-D view of the sight comprising the object. A large number of candidates can be evaluated by using a two-step cascade system, which is faster and more effective than manual design. There are two deep-step cascade system network, a top value of the first detection system is reappraised by the second system. The first meshwork runs faster because of its fewer functions and can prune a large number of candidate fetches effectively. The second network is more powerful, so the speed is relatively slow, and the top-level detection value of the first system can be re-evaluated. To deal with multimodal input effectively, e propose a weighted structure regularization method in view of multichannel group regularization. The experimental results indicate the depth learning arithmetic can effectively improve the performance of RGBD robot grasping data sets, And the new objects can also be captured successfully.

关键词： Robot fetching Deep learning RGB-D multimodal data

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Investigating Emerging Technologies Role in smart Cities’ Solutions

Investigating Emerging Technologies Role in Smart Cities’ S...

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IFIP WG 8.6 international conference on Transfer and Diffusion of IT, TDIT 2020

作者： Al-Badi, Ali Sharma, Sujeet Kumar Jain, Vishal Khan, Asharul Islam Academic Affairs and Research Gulf College Al Mabaila Muscat Oman Department of Information System and Analytics Indian Institute of Management Tiruchirappalli TiruchirappalliTamil Nadu620 024 India Department of Business Administration University of Technology and Applied Sciences Ibri Oman Industry Research Chair Sultan Qaboos University Alkhodh Muscat Oman

ISBN: (纸本)9783030648602

A smart city is defined as a one that provides solutions to rapid urbanization, exploding population, scarce resources, congested traffic, and energy management through the effective and integrated use of information and communication technology. The conceptualization, integration, and implementation of smart cities have been recognized and seen as a means to optimize the limited resources and improve the quality of human lives. The smart cities planning, designing, and development have been affected due to big data storage, big data governance, Internet of Things (IoT), and artificial intelligence (AI) techniques. The smart cities’ solutions cover different themes of varying importance such as smart health, smart education, intelligent transportation, smart energy, smart governance, etc. The emerging technologies are the one which are presently under development or might be developed in the future, and which can have a wide impact on research, business, and social lives. The emerging technologies are the groups of technologies that have been partially explored, continuously evolving, and under development such as, IoT, big data, machine learning (ML), social network, and cloud computing. The emerging technologies have created renewed interest in smart cities’ solutions. The smart cities’ progress and advancement are the results of the successful exploitation of emerging technologies. This paper aims to investigate and discuss the success stories of emerging technologies in smart cities’ solutions. The emerging technologies included in the study are the IoT, big data, and AI. The paper further summarizes a process of applying tools and techniques for the successful initiative of transforming a traditional city into a smart one using emerging technologies. © 2020, IFIP international Federation for Information Processing.

关键词： smart city

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Examining Feedback of Apple Watch Users in Korea Using Textmining Analysis 3rd

Examining Feedback of Apple Watch Users in Korea Using Textm...

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3rd international conference on intelligent Human Systems Integration (IHSI) - Integrating People and intelligent Systems

作者： Lee, Yu Lim Jung, Minji Park, In-Hyoung Kim, Ahyoung Chung, Jae-Eun Sungkyunkwan Univ Dept Consumer & Family Sci 25-2 Sungkyunkwan Ro Seoul South Korea

ISBN: (纸本)9783030395124;9783030395117

The purpose of this study was to examine the feedback of Apple Watch users in Korea. data were crawled from social media and were analyzed using community detection and semantic network analysis with R programming. Community detection identified device and after-sales service, application, and activity tracking as major issues. Semantic network analysis revealed twelve categories of positive feedback and nine categories of negative feedback. This study provides theoretical and managerial implications to enhance consumer satisfaction.

关键词： smart watch Consumer reviews Community detection Semantic network analysis

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Designing of Postgraduate Medical English Class in smart Learning Environment 1

引用

international conference on data Processing Techniques and Applications for Cyber-Physical Systems, DPTA 2019

作者： Wang, Xiaofang Liu, Cheng School of Humanities Jiangxi University of TCM No. 1688 of Meiling Road Wanli District Nanchang CityJiangxi Province China

ISBN: (数字)9789811514685

ISBN: (纸本)9789811514678

Based on the smart education environment, this paper employs the combination between the formative evaluation and the summative evaluation in order to conduct a teaching experiment in the second semester of the first academic year for postgraduates, which aims to promote the teaching quality of graduate medical English through various learning resources in the context of smart education. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Quality control

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WALLesmart: Cloud Platform for smart Farming 2020

WALLeSMART: Cloud Platform for Smart Farming

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32nd international conference on Scientific and Statistical database Management (SSDBM)

作者： Roukh, Amine Fote, Fabrice Nolack Mahmoudi, Sidi Ahmed Mahmoudi, Said Univ Mons Infortech ILIA Fac Engn Mons Belgium

ISBN: (纸本)9781450388146

Today, agricultural practices are supported by bio-informatics and emerging technologies such as remote sensing, cloud computing and the Internet of Things (IoT), which leads to the concept of "smart Farming". smart farming is a cycle of intelligent detection and monitoring, analysis and planning, as well as control of agricultural operations using a cloud-based event management system. In this paper, we propose WALLesmart, a cloud-based framework built to capitalize the efforts invested in building smart farming management systems, applied to the Wallonia region of Belgium. The framework proposes an architecture to address the challenges of acquisition, processing, and visualization of massive amounts of data, in both batch and real-time basis. An initial prototype has been developed and tested with various farms and shows prominent results.

关键词： Remote sensing

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Research on the Construction of Heilongjiang Province Agricultural Products smart Cloud Logistics Platform Based on Internet of Things

Research on the Construction of Heilongjiang Province Agricu...

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international conference on intelligent computing and Human-Computer Interaction (ICHCI)

作者： Duan, Yanmei East Univ Heilongjiang Harbin 150000 Heilongjiang Peoples R China

ISBN: (纸本)9781665423168

With the continuous development of China's economic construction, the output of agricultural products in various regions has increased significantly on the original basis. As a major exporter of agricultural products, Heilongjiang Province is also showing a gradual increase in its production capacity. It has created more economic benefits for China, and the quality of life of local farmers can also be significantly improved. However, at the same time, related issues in the logistics field are also becoming increasingly prominent in the context of increasing agricultural output. In order to effectively solve the logistics problems and allow more agricultural products to circulate smoothly at home and abroad, relevant staff in the field of Internet of Things should deeply feel the important responsibilities on their shoulders and carry out timely innovations in working methods. In addition, we should also apply our valuable work experience and brand-new Internet of Things technology to agricultural product logistics, and build a smart logistics platform based on the actual situation in Heilongjiang Province. This is an inevitable trend in historical development.

关键词： Internet of Things Agricultural Product Logistics smart Cloud Logistics

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Some applications of big data mining technology on education system in big data era

Some applications of big data mining technology on education...

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

作者： Ge, Xinkai Telecommunications Engineering with Management Beijing University of Posts and Telecommunications No 10 Xitucheng Road Haidian District Beijing100089 China

ISBN: (纸本)9789811525674

With the development of network technology, the world has stepped into the big data era. The application of big data mining technology in the field of education has provided a new development path for education, realized the informatization of education and promoted the better development of education. To enhance the usage of big data mining technology as well as help to improve the current education system, this paper gives 4 specific aspects of education that can apply data mining technology which are daily management of schools, teaching and teaching reform, enhancing self-directed learning and providing new ideas respectively to illustrate how applying big data mining technology and exploiting valuable data for rational use can improve the quality of education. © Springer Nature Singapore Pte Ltd. 2020.

关键词： data mining

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Comparison of Bioinspired Algorithms Applied to Cancer database

Comparison of Bioinspired Algorithms Applied to Cancer Datab...

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international conference on Recent Trends in Machine Learning, IOT, smart Cities and Applications, ICMISC 2020

作者： Silva, Jesús Villareal-González, Reynaldo Varela, Noel Maco, José Villón, Martín Marín–González, Freddy Lezama, Omar Bonerge Pineda Universidad de la Costa Barranquilla Colombia Universidad Simón Bolívar Barranquilla Colombia Barranquilla Colombia Universidad Libre San Pedro Sula Honduras

ISBN: (纸本)9789811572333

Cancer is not just a disease;it is a set of diseases. Breast cancer is the second most common cancer worldwide after lung cancer, and it represents the most frequent cause of cancer death in women (Thurtle et al. in: PLoS Med 16(3):e1002758, 2019, 1]). If it is diagnosed at an early age, the chances of survival are greater. The objective of this research is to compare the performance of method predictions: (i) Logistic Regression, (ii) K-Nearest Neighbor, (iii) K-means, (iv) Random Forest, (v) Support Vector Machine, (vi) Linear Discriminant Analysis, (vii) Gaussian Naive Bayes, and (viii) Multilayer Perceptron within a cancer database. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Big data

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Zip Zap data-A Framework for 'Personal data Preservation' 3rd

Zip Zap Data-A Framework for 'Personal Data Preservation'

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

作者： Arunkumar, K. Devendran, A. Ppltech Chennai Tamil Nadu India Dr MGR Educ & Res Inst Chennai Tamil Nadu India

ISBN: (纸本)9789813299498;9789813299481

In the era of Mobile devices, a huge volume of mobile applications produces vast and variety of data in their own formats. There is every chance that most of these data will be lost or gone forever. Let us explain how, technically any digital data becomes irretrievable if there is a change of data format or a change in application interpreting it or a change in platform feature used by the application and your app did not change to accommodate it. In simple terms, if you try to upgrade your mobile-there are a lot of possibilities that data from your previous mobile could be lost forever. Reason for loss could be your newer device comes with some obsolete platform features and hence some of your applications no longer run in the new device as developer decided to discontinue that app. Even more pressing issue is there is no way to transfer application data from old to a new device and this is very common with mobile apps. The root cause for this is the lack of backup and retrieval mechanisms in devices and applications. We studied various approaches and research works related to this problem and proposed 'Zip Zap data', a framework for effective backup and recovery of personal digital data.

关键词： Personal data longevity Personal data preservation

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Research on Time-Sensitive Technology in Electric Power Communication Network 10th

Research on Time-Sensitive Technology in Electric Power Comm...

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10th international conference on Computer Engineering and Networks, CENet 2020

作者： Yang, Yu-qing NARI Group Corporation/State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9789811584619

There are many problems in distributed energy access, such as many access points, different access distances and miscellaneous access protocols, which results in low reliability of synchronous operation of the whole system and poor reliability of clock, which further affects the efficiency and quality of centralized regulation and control. Therefore, the technical scheme based on time sensitive network is put forward, and the Ethernet equipment based on time sensitive network technology is developed, all the sampling data in the distributed energy control task are under the same time section, and the time sequence of the control task can be measured and predicted. It provides important technical support for the establishment of efficient and low-cost source network load storage and control center. The results can be popularized and applied to the national source network storage and control center, and has a broad application prospect. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： smart power grids

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