2018
DOI: 10.1080/10095020.2017.1413798
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A spatiotemporal algebra in Hadoop for moving objects

Abstract: Spatiotemporal data represent the real-world objects that move in geographic space over time. The enormous numbers of mobile sensors and location tracking devices continuously produce massive amounts of such data. This leads to the need for scalable spatiotemporal data management systems. Such systems shall be capable of representing spatiotemporal data in persistent storage and in memory. They shall also provide a range of query processing operators that may scale out in a cloud setting. Currently, very few r… Show more

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Cited by 16 publications
(14 citation statements)
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“…The release of the New Generation Artificial Intelligence Development Plan in 2017 marked the beginning of the new era of AI in China. At present, China has systematically arranged AI from the national level, and the Report of 19th National Congress of China put forward "promoting the deep integration of the Internet, big data, AI and the real economy" and strengthened the comprehensive support of AI for science and technology, economy, social development, and national security [4,36]. During this period, the hotspots of international research on AI in China focused on specific frontier technologies and practical commercial application technologies such as "big data", "convolution neural network", "electronic skin", "image classification", "sensors", "movies", "electronic games", and "applications", which is in line with the current policy advocating integration of artificial intelligence and the real economy at the national level.…”
Section: Quantification Analysis Of National-level Policy Documents Omentioning
confidence: 99%
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“…The release of the New Generation Artificial Intelligence Development Plan in 2017 marked the beginning of the new era of AI in China. At present, China has systematically arranged AI from the national level, and the Report of 19th National Congress of China put forward "promoting the deep integration of the Internet, big data, AI and the real economy" and strengthened the comprehensive support of AI for science and technology, economy, social development, and national security [4,36]. During this period, the hotspots of international research on AI in China focused on specific frontier technologies and practical commercial application technologies such as "big data", "convolution neural network", "electronic skin", "image classification", "sensors", "movies", "electronic games", and "applications", which is in line with the current policy advocating integration of artificial intelligence and the real economy at the national level.…”
Section: Quantification Analysis Of National-level Policy Documents Omentioning
confidence: 99%
“…Some scholars believe that AI is the intelligent simulation of human behavior through the use of advanced technology, and that the process involves extremely complex human-machine relationships; from the perspective of information perception, data management, deep learning, bionic behavior, and language interaction, AI includes five core elements: cross media perceptual computing, autonomous deep learning, big data intelligent management, virtualized bionics, and simulated language interaction [3].The research of artificial intelligence has attracted the attention of many scholars, and many fields involves the application of artificial intelligence, machine learning, and pattern recognition, etc. There are published studies and applications involving data transmission, pattern recognition, behavioral research, robotics, and computer engineering [4][5][6][7][8], as well as research and applications in physical sciences, health-related issues, natural sciences, and industrial academic areas [9][10][11]. Furthermore, there have also been some studies related to applications of different sensors, such as binary, digital cameras, depth data, and wearable sensors, that use AI and data classification fields [12][13][14][15][16][17][18].The latest China AI Development Report 2018 proposed that the two main lines of development of AI core technologies are brain science and brain-like intelligence technology, and machine learning represented by deep neural networks; currently, brain science and brain-like intelligence technology research progress is limited.…”
mentioning
confidence: 99%
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“…Research [17] works on feature extraction on the unmanned aerial vehicles (UAV). Algebraic representation of Spatio-temporal real-world objects is presented in [18]. Local descriptors are used to track a person in two different cameras with support vector machines (SVM) [19].…”
Section: Introductionmentioning
confidence: 99%
“…In real-life environments, there are some fascinating applications in which the analysis of human activities plays a significant role. Some applications include human/object detection and recognition based on vision object analysis and processing areas such as tracking and detection [1,2], computer engineering [3], physical sciences [4], health-related issues, natural sciences, and industrial academic areas [5]. Most of the authors [6][7][8][9][10][11] recognized the human activities in indoor environments based on different methodologies.…”
Section: Introductionmentioning
confidence: 99%