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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1571-1580 订阅

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The relationship between Shanghai-centered producer services and manufacturing industry based on simultaneous equation model in cloud computing environment

The relationship between Shanghai-centered producer services...

引用

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

作者： Yu, Dongyu Shanghai University of Engineering Science Shanghai200437 China

ISBN: (纸本)9789811525674

In the cloud computing environment, based on the simultaneous equation model combined with the calculation index of influence coefficient and sensitivity coefficient, the simultaneous equation model is constructed to empirically analyze the degree of interaction between the two regions. There is a two-way causal relationship between producer services and manufacturing, but the degree of interaction between producer services and manufacturing in several regions is different. Taking Shanghai as the central economic circle, we must pay full attention to and play an interactive mechanism between the producer service industry and the manufacturing industry, and promote the benign and coordinated development of the producer service industry and the manufacturing industry. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Cloud computing

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IoT Driven Resiliency with Artificial Intelligence, Machine Learning and analytics for Digital Transformation

IoT Driven Resiliency with Artificial Intelligence, Machine ...

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2020 international conference on Decision Aid Sciences and Application, DASA 2020

作者： Ahmed, Sumera Miskon, Suraya School of Computing Faculty of Engineering Universiti Teknologi Malaysyia Johor Bahru81310 Malaysia Azman Hashim International Business School Universiti Teknologi Malaysia Department of Information Systems Johor Bahru81310 Malaysia

ISBN: (纸本)9781728196770

A new manufacturing era 'Industry 4.0' is emerging with two unique characteristics: intelligent manufacturing and integrated manufacturing. This pattern rationale with the progress of digital transformation, in which efficient manufacturing and production systems is being continuously pursued. Digital transformation initiatives generate large data sets due to massive integration of devices in internet of things (IoT) environment. This scenario demands the fastest insights to respond on time considering three key pillars: communication network evolution, digital business, and customer experience. IoT driven resiliency with traditional analytics has limited value without artificial intelligence (AI), and machine learning (ML). This study aims to explore this phenomenon of interest by conducting group discussion with software vendors. The results will helpful to utilize the power of AI and ML with analytics to leverage a large amount of data which would contribute to the success of digital transformation of organizations with real-time decision-making. © 2020 IEEE.

关键词： Internet of things

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The Random Neural Network with a Genetic algorithm in intelligent Buildings 3

The Random Neural Network with a Genetic algorithm in Intell...

引用

3rd international conference on computing, Electronics and Communications Engineering (iCCECE)

作者： Serrano, Will Imperial Coll London Intelligent Syst & Networks London England

ISBN: (纸本)9781728163307

The Random Neural Network with a Genetic algorithm and its integration into an intelligent Building: iBuilding is proposed in this paper. The presented biological method, founded on the Genome, codifies and transmits the information from the intelligent Building. Furthermore, it also multiplexes its data entirely to generate Clusters of Buildings that are interconnected with each other. The key concept proposed in this paper is that the learned information obtained by iBuilding after its interaction with the environment is never lost when the building is decommissioned or retrofitted but transmitted to future iBuilding generations as distributed organisms. data is codified in the network weights instead of the neurons, similar as the Genome, in order to enable an Artificial Intelligence evolution in iBuilding. The presented biological algorithm is inserted into an iBuilding model where sensorial neurons distributed within the intelligent Building collect measurements about its environment and select relevant information. This proposed model has been validated with several research datasets that cover several key scenarios;experimental results demonstrate that the Random Neural Network Genetic Algorithm codifies, transmits and multiplexes iBuilding information to future generations with insignificant error, therefore, successfully creating a cluster of buildings.

关键词： intelligent Building smart City Genetic Algorithm Neural Networks Artificial Intelligence

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Machine Learning and Its Implications on Educational data Base (U-DISE) 3rd

Machine Learning and Its Implications on Educational Data Ba...

引用

3rd international conference on smart computing and Informatics (SCI)

作者： Peerzada, Sheeraz Ahmad Seethalani, Jitendra Sri Satya Sai Univ Technol & Med Sci Dept Comp Sci Sehore 466001 MP India

ISBN: (纸本)9789813296909;9789813296893

Machine Learning is an emerging trend. To learn from data as well as from past experiences and decision making is most important educational aspects in current educational system. Machine learning is widely used in Artificial Intelligence. Machine Learning is that branch of science which is used to detect different patterns in data and is used to predict future. In this paper we study how Machine Learning can help us in the field of education.

关键词： Machine learning Supervised Unsupervised Deep Reinforcement machine learning algorithms

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Real estate spatial price distribution in xining from the perspective of big data 1

引用

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

作者： Zhu, Hongzhang Li, Lianyan Ren, Xiaobin Fan, Yangting Sui, Xiaoliang School of Civil Engineering Wuhan University Wuhan430000 China GNSS Research Center Wuhan University Wuhan430000 China China Construction Eighth Engineering Bureau Zhejiang Construction Co. LTD. ShanghaiZhejiang China

ISBN: (数字)9789811525681

ISBN: (纸本)9789811525674

Studying the spatial distribution of real estate price can not only help consumers to choose the suitable real estate, but also help urban planners to make better decisions. Under the background big data, a new perspective of research on urban real estate prices is produced. Based on the real estate parameters of ordinary residential buildings in Xining city, ArcGIS software is used to conduct the nearest neighbor distance analysis, and it is found that the residential buildings in the area presented significant agglomeration. Then, Moran’s I index is selected for spatial autocorrelation analysis, which proves the positive spatial correlation of real estate prices in Xining city. Finally, the spatial distribution map of real estate prices is obtained by fitting the real estate prices in the research area with the statistical analysis of land, which finds the area of Chengxi is the center of local housing price, and the price is decreasing gradually around other areas. In addition, the main factors affecting housing prices in four areas can be obtained by analyzing the distribution figure, which gives a significant reference for residents and policy planners. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Constructing mobile network platform for sports resources sharing of universities-enterprise alliance under big data

Constructing mobile network platform for sports resources sh...

引用

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

作者： Huang, Wensheng Sports Teaching Department Dalian Polytechnic University Dalian116034 China

ISBN: (纸本)9789811525674

Under the environment of big data internet, aiming at the phenomenon of periodic idleness of university sports resources and lack of enterprise sports resources, this paper builds a bridge between University and enterprise, studies and designs a mobile network platform for university sports resources sharing in universities-enterprise alliance, enhances the degree of socialized sharing of university sports resources, and promotes the healthy development of enterprise sports culture. According to the large data of Internet, the construction and application of the mobile sharing platform of universities-enterprise sports resources network alleviates the contradiction between supply and demand of universities-enterprise sports resources, enhances the exchange and cooperation between universities and enterprises, and effectively promotes the realization of the national strategic goal of national fitness for all. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Wireless networks

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Dynamic Hashtag Interactions and Recommendations: An Implementation Using Apache Spark Streaming and GraphX 3rd

Dynamic Hashtag Interactions and Recommendations: An Impleme...

引用

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

作者： Sharma, Sonam Tata Consultancy Serv Noida India

ISBN: (纸本)9789813299498;9789813299481

Hashtag, started with Twitter is a keyword with prefix "#" and now being used mostly for all communication on social media. It has been identified as very powerful and effective in organizing communications according to the topic and trend. Hashtag can further help on various analysis, as it links users with their topic of interests. Hashtag aids in building communities of similar interests. With hashtags, we can follow current trend and interest on twitter which can help us in analyzing multiple factors, e.g., sensitivity of the ongoing trend, its spread, people getting affected, its effect on business and so on. Traditionally available approaches help us in analyzing batch data and finding interests and trends on it. Now with the advancements in the field of technology helps us in analyzing a large amount of online data within seconds. In this paper, we will be exploring dynamic hashtag interactions to find correlations among them and propose a methodology which can successfully find relevant hashtags based on the interest in focus. We will propose our methodology of analyzing and exploring tweets in real time with the extent of converting information;we are getting from twitter to knowledge.

关键词： Co-occurrence graph Community networks Hashtags Graph mining Real-time analytics Streaming graph Social media

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Enterprise Reporting Solution on Integrating Business Intelligence for Operational and Financial data

Enterprise Reporting Solution on Integrating Business Intell...

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international conference on intelligent Manufacturing and Energy Sustainability (ICIMES)

作者： Mazumdar, Anuraag Regunathan, Rajeshkannan Vellore Inst Technol Sch Comp Sci & Engn Vellore 632014 Tamil Nadu India

ISBN: (纸本)9789811516160;9789811516153

The information technology field has emerged, established and improved over time, resulting in the utilization of Internet by many organizations. On the other hand, the data gathered by commercial and operational businesses is unstructured, hard to understand and of limited use. Business intelligence (BI) tools play a major role in extracting useful, intuitive, and graphical representation of accurate data that is useful for predictive analysis, trends, and patterns in business, and business decision making. The paper talks about current trends and techniques in BI segments (devices) and describes operational advances in an organization that utilizes BI framework, that results in the strengthening the connection between commercial business needs and IT technologies and how different BI methods are adopted and studies about current market business intelligence tools examples that give significance of usage of business intelligence in the enterprise business.

关键词： Business intelligence data analytics data warehousing Decision support Extract transform and load

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Application Analysis of Big data Technology in Energy Internet

Application Analysis of Big Data Technology in Energy Intern...

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2020 international conference on intelligent computing, Automation and Systems, ICICAS 2020

作者： Qingyang, Liao Long, Yuan Wang, Jun Xiao, Chen Song, Yao Li, Haiqing Guian Power Supply Bureau of Guizhou Power Grid Co. Ltd Guizhou Guian550025 China Guangzhou Smart Energy Technology Co. Ltd. Guangzhou Guangdong510630 China

ISBN: (纸本)9781728191461

The application of big data has been widely adopted today, but the exploration of Energy Internet based on the big data is in its early phase. In the paper, firstly, the basic concept, characteristic and method of big data is described, and the current situation of Energy Internet is investigated. Then, the importance and implementation means of big data in Energy Internet is pointed out. Several application scenarios of big data used for Energy Internet are presented, and the advantage of big data is summarized. Finally, the application technology system and research framework of big data in Energy Internet are proposed. © 2020 IEEE.

关键词： Big data

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GestTalk-Real-Time Gesture to Speech Conversion Glove 3rd

GestTalk-Real-Time Gesture to Speech Conversion Glove

引用

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

作者： Shanbhag, Varun Prabhune, Ashish Choudhury, Sabyasachi Roy Jain, Harsh RAIT Informat Technol Nerul 400706 Maharashtra India DMCE Informat Technol Airoli 400708 Maharashtra India Indiana Univ Data Sci Bloomington IN 47405 USA IIIT Comp Sci New Delhi 110020 India

ISBN: (纸本)9789811393648;9789811393631

It is often observed that people who are speech or hearing impaired find it difficult to communicate with others. According to WHO [5], over 5% of the global population has disabling hearing loss, while many more are speech impaired. These people mainly rely on sign languages for their daily communication. Sign language is quite complicated for an average person to understand, which makes the world less accessible to a person who has acquired this disability. Hence, to solve this existing problem and make the world more accessible for such people, we proposeGestTalk, a smart glove specifically designed to enable speech-impaired people to communicate with others by translating their performed gesture to speech with the help of machine learning and IoT. We are using hardware-based glove loaded with home-made flex sensor to capture data points and machine learning algorithm to map these gestures to speech dynamically in real time. Usage of home-made flex sensor, each costing under 10 INR, plays the vital role in capturing finger movement during the gesture, and certainly makes GestTalk a cost-effective gadget. We were able to achieve similar to 95% of prediction accuracy on the trained sample with our minimal prototype. We present this case study to show how GestTalk can aid the hearing/speech impaired by enabling them to communicate with the world via speech cheaply and economically.

关键词： Artificial intelligence Dynamic time warping Home-made flex sensors Internet of things Machine learning Virtual reality

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