Scoring sensor observations to facilitate the exchange of space surveillance data

Weigel, Martin; Fiedler, Hauke; Schildknecht, Thomas

doi:10.1016/j.asr.2017.04.010

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…According to formula (12), perform TFS code conversion on these 100 peak responses, where r represents the address number, ri is the peak response of the i-th address number, ti is the input time of the i-th address number of the neural network, and T is the expectation time of the last neuron input. In the feature sequence, the algorithm of the system is as follows:…”

Section: Dtw Dynamic Matching Action Recognition Algorithmmentioning

confidence: 99%

“…Common gray-scale image matching methods such as target recognition and scene intrusion include gray-scale matching methods and feature-based matching methods. Gray matching method is generally point-to-point matching, so the relative accuracy is relatively high, and it is very sensitive to changes in interference [12,13]. When the external light changes, the detection result will be affected.…”

Section: Introduction To the Aerobics Movementmentioning

confidence: 99%

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Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Sun

2021

Journal of Sensors

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With the development of the times, teaching has not only stayed between people, but also gradually developed into the teaching interaction between man and machine. In the past, the teaching form was relatively single and old. Based on the intelligent visual sensor, this paper develops an auxiliary teaching system for the decomposition of aerobics action and reasonably uses the Internet and algorithms to catalog a series of aerobics action systems into the system. The DTW dynamic motion matching algorithm of the system will recognize human actions more accurately. The system will feed back human actions to the system in real time based on human feature recognition. Then, after comparison, the system will display the standard posture of this action and the aerobics posture in the next step. Therefore, this system develops teaching not only in class, but everywhere. The system not only improves the teaching quality of aerobics, but also strengthens the physical quality of teenagers. It has a new understanding of the standardization of aerobics teaching. After the function of the system is complete, the system will be distributed to aerobics learners. In many feedback information, the average use satisfaction has reached about 80%, which is a good performance index for the performance of the system itself.

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Section: Dtw Dynamic Matching Action Recognition Algorithmmentioning

confidence: 99%

Section: Introduction To the Aerobics Movementmentioning

confidence: 99%

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Sun

2021

Journal of Sensors

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“…Survey observations serve to discover new objects, either for statistical population modeling, or for tracking and cataloguing [38], [39]. Space agencies such as NASA and ESA are monitoring the MEO and GEO regions to obtain statistical information about faint non-catalogued objects [40], [41], [42].…”

Section: Survey Astrometry and Cataloguingmentioning

confidence: 99%

Space Debris: Optical Measurements

Šilha

2020

Reviews in Frontiers of Modern Astrophysics

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Space debris is a major threat to the satellite infrastructure. A collision with even small particle, e.g. 1 cm of size, can cause a catastrophic event when the parent body, spacecraft or upper stage, will break up into hundreds of trackable fragments. Space debris research helps to discover, monitor and characterize these objects, identify their origin and support their active removal. Surveys with optical telescopes aim to discover new objects for cataloguing and to increase the accuracy of space debris population models. The follow-up observations are performed to improve their orbits or to investigate their physical characteristics. We will present the space debris population, its orbital and physical characteristics and we will discuss the role which the optical telescopes play in space debris research. We will also discuss the adopted astronomical techniques like astrometry, photometry and spectroscopy used in the space debris domain.

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“…On this basis, this article analyzes and studies the visualization of sports movements. Movement visualization teaching method can effectively reduce the time for teachers to demonstrate and explain actions, so that teachers can spend more of their free time on teaching itself, thereby helping teachers find and solve students' problems in time, and guide students to learn effectively [ 6 , 7 ]. Teachers can pay more attention to students, which will also help improve teachers' reflection after the course and provide materials for academic research [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Practical Application of Sports Visualization Platform Based on Tracking Algorithm

Hua

Han

2022

Computational Intelligence and Neuroscience

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Machine learning methods use computers to imitate human learning activities to discover new knowledge and enhance learning effects through continuous improvement. The main process is to further classify or predict unknown data by learning from existing experience and creating a learning machine. In order to improve the real-time performance and accuracy of the distributed EM algorithm for machine online learning, a clustering analysis algorithm based on distance measurement is proposed in combination with related theories. Among them, the greedy EM algorithm is a practical and important algorithm. However, the existing methods cannot simultaneously load a large amount of social information into the memory at a time. Therefore, we created a Hadoop cluster to cluster the Gaussian mixture model and check the accuracy of the algorithm, then compare the running time of the distributed EM algorithm and the greedy algorithm to verify the efficiency of the algorithm, and finally check the scalability of the algorithm by increasing the number of nodes. Based on this fact, this article has conducted research and discussion on the visualization of sports movements, and the teaching of visualization of sports movements can stimulate students’ interest in physical education. The traditional physical education curriculum is completely based on the teacher’s oral explanation and personal demonstration, and the emergence of visualized teaching of motor movements broke the teacher-centered teaching model and made teaching methods more interesting. This stimulated students’ interest in sports and improved classroom efficiency.

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Scoring sensor observations to facilitate the exchange of space surveillance data

Cited by 3 publications

References 4 publications

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Aerobics Movement Decomposition Action Teaching System Based on Intelligent Vision Sensor

Space Debris: Optical Measurements

Design and Practical Application of Sports Visualization Platform Based on Tracking Algorithm

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