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  • 1
    Online Resource
    Online Resource
    Informa UK Limited ; 2011
    In:  Journal of the American Statistical Association Vol. 106, No. 494 ( 2011-06), p. 558-568
    In: Journal of the American Statistical Association, Informa UK Limited, Vol. 106, No. 494 ( 2011-06), p. 558-568
    Type of Medium: Online Resource
    ISSN: 0162-1459 , 1537-274X
    RVK:
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2011
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-10-27), p. 1-10
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-10-27), p. 1-10
    Abstract: The wireless sensor network is an integral part of the physical information system. Disperse sensors through a set of special spaces track and record the natural state of the environment and manage the information collected in a central location. The sensors use wireless connections to create their own networks. Wireless sensor network technology has the advantages of flexible deployment and convenient use and has played an important role in the field of user behavior recognition. By deploying wireless sensor network technology, users can collect daily information, capture users’ behavior habits, and analyze users’ health status. In the deployment and application of this type of technology, it is very important to build an effective model of the logical sequence relationship of the monitored person’s behavior. The sensor data can be sent to the target user through wireless transmission. Action recognition is often based on a single feature for learning and judgment, so there are many difficulties in practical applications. This article aims to study motion shake awareness and action prediction algorithms based on wireless sensor networks. Aiming at the research of human pose recognition algorithm, to optimize the overall performance of the model, this article suggests the use of multimodal input, uses a 2D and 3D network structure, and finally, proposes two network weighted fusion strategies. Aiming at the research of pedestrian motion discrimination, this article offers a behavior prediction algorithm based on multifeature joint learning. The algorithm adds the feature vectors output by gesture recognition and mask prediction and uses a cross-entropy cost function to jointly learn and predict classification. The results of the survey show that the pedestrian gesture recognition and motion recognition algorithm based on the wireless sensor network proposed in this paper has good performance and can be widely used in real scenes such as video surveillance. The accuracy of the gesture recognition algorithm in the UCF101 dataset and the HMDB51 dataset was 96% and 72%, respectively.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-11-22), p. 1-11
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-11-22), p. 1-11
    Abstract: In recent years, the rapid development of e-commerce and mobile communications has ushered in a new era in the era of big data and has also given birth to emerging industries such as big data. People are paying more and more attention to data, and all walks of life are trying to analyze data and make use of the potential value of data. Business organizations use big data analysis to reduce business costs, plan real-time traffic routes for thousands of express vehicles to avoid congestion, and use click stream analysis and data mining to avoid fraud. This article combines big data with e-commerce security, deeply studies the composition of e-commerce security system and key security strategies and technologies, and discusses some problems in the combined application of blockchain and electronic settlement. The birth of big data technology can solve the contradictions in today’s e-commerce security, introduce the popular and widely distributed Apache Hadoop platform, deeply study the structure of Hadoop, and focus on the data analysis and processing method products of the second generation of Hadoop YARN. It is recommended to start with data, manage, and monitor e-commerce behaviors and improve the e-commerce security system. Finally, many important aspects that need to be considered in the big data e-commerce security system will be discussed. The analysis results show that the credential management and control system based on blockchain technology proposed in this paper can resist most frauds and realize the safe storage of transaction data and cannot be tampered with. Experiments have proved that the types of vulnerabilities and defects show that improper input is the main reason; the system error rate is mainly concentrated at 0.50%, and all the data indicate that the application of big data blockchain in electronic settlement provides great value, and the security of the electronic economy has increased by at least 60%.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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  • 4
    Online Resource
    Online Resource
    Informa UK Limited ; 2023
    In:  Journal of the American Statistical Association Vol. 118, No. 542 ( 2023-04-03), p. 1333-1344
    In: Journal of the American Statistical Association, Informa UK Limited, Vol. 118, No. 542 ( 2023-04-03), p. 1333-1344
    Type of Medium: Online Resource
    ISSN: 0162-1459 , 1537-274X
    RVK:
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2019
    In:  Mobile Information Systems Vol. 2019 ( 2019-03-25), p. 1-11
    In: Mobile Information Systems, Hindawi Limited, Vol. 2019 ( 2019-03-25), p. 1-11
    Abstract: Recently, Mashup is becoming a promising software development method in the mobile service computing environment, which enables software developers to compose existing mobile services to create new or value-added composite RESTful web application. Due to the rapid increment of mobile services on the Internet, it is difficult to find the most suitable services for building user-desired Mashup application. In this paper, we integrate word embeddings enhanced hierarchical Dirichlet process and factorization machines to recommend mobile services to build high-quality Mashup application. This method, first of all, extends the description documents of Mashup applications and mobile services by using Word2vec tool and derives latent topics from the extended description documents of Mashup and mobile services by exploiting the hierarchical Dirichlet process. Secondly, the factorization machine is applied to train these latent topics to predict the probability of mobile services invoked by Mashup and recommend mobile services with high-quality for Mashup development. Finally, the performance of the proposed method is comprehensively evaluated. The experimental results indicate that compared with the existing recommendation methods, the proposed method has significant improvements in MAE and RMSE.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2187808-0
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  • 6
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-10-20), p. 1-13
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-10-20), p. 1-13
    Abstract: With the rapid development of the times, the application of the Internet of Things also develops rapidly, resulting in a linear increase in the data generated by the application. Nowadays, people’s needs for the forms and types of data are becoming more and more diversified, and the demand for the analysis and processing of Internet of Things data is only increasing. In order to meet the demand for data analysis of the Internet of Things, this article mainly introduces the design and implementation of the data analysis and processing software of the Internet of Things based on virtual reality. Realistic data analysis algorithms are applied to the data analysis function modules of the Internet of Things data analysis and processing software, and then the design of the data collection, data capture, and data analysis and processing functions of the Internet of Things data analysis and processing system is improved. Finally. The realization of the data analysis and processing software of the Internet of Things is carried out through different environments for and various aspects of software testing. The test results show that the realization rate of the software function is as high as 90%, and the data loss rate is reduced to 5%.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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  • 7
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-10-30), p. 1-9
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-10-30), p. 1-9
    Abstract: For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted to find the optimal moving path of the rail guide vehicles. Drawing on the shortest path idea, the model uses the Floyd algorithm and the simulated annealing algorithm. The longest running time of the rail guide vehicles in the model is the innovation point in the paper. When the rail guide vehicles path is optimal, when the rail guide vehicles is the busiest, the system is the most efficient.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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  • 8
    Online Resource
    Online Resource
    Informa UK Limited ; 2012
    In:  Journal of Environmental Planning and Management Vol. 55, No. 7 ( 2012-09), p. 885-900
    In: Journal of Environmental Planning and Management, Informa UK Limited, Vol. 55, No. 7 ( 2012-09), p. 885-900
    Type of Medium: Online Resource
    ISSN: 0964-0568 , 1360-0559
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2012
    detail.hit.zdb_id: 2000921-5
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  • 9
    Online Resource
    Online Resource
    Informa UK Limited ; 2023
    In:  Journal of the Operational Research Society Vol. 74, No. 1 ( 2023-01-02), p. 157-180
    In: Journal of the Operational Research Society, Informa UK Limited, Vol. 74, No. 1 ( 2023-01-02), p. 157-180
    Type of Medium: Online Resource
    ISSN: 0160-5682 , 1476-9360
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2023
    detail.hit.zdb_id: 716033-1
    detail.hit.zdb_id: 2007775-0
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-7-19), p. 1-13
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-7-19), p. 1-13
    Abstract: The fluctuation of martial arts athletes before competition is easy to affect martial arts competition. Emotional stimulation helps martial arts athletes to play in the competition field and improve their on-the-sport coping skills. In this paper, we use artificial intelligence technology to analyze the precompetition emotions of martial arts athletes, make guidance for the precompetition situation of martial arts athletes, and give to-the-spot response guidance and suggestions. In this paper, the artificial intelligence MLR (multiple logistic regression) combined with the unsupervised LOF (local outlier factor) algorithm is used to realize the precompetition emotion analysis and on-the-spot response guidance for martial arts athletes. In addition, this paper takes a community martial arts team as the test object and verifies the method through practice feedback. Studies have shown that this method of analysis and guidance can effectively assess the emotions of martial arts athletes and take intervention, compared to the absence of sentiment analysis and on-the-sport guidance for martial arts athletes. Compared to the coach’s intuitive guidance, the interventions in this treatise speed up 65%. From the experimental subjects in this paper, athletes of the same level provide emotional guidance and suggestions for responding to emotional fluctuations. This can psychologically improve the efficiency of athletes by more than 35%. Therefore, the use of artificial intelligence analysis methods can effectively improve the emotional stability of martial arts athletes before the game, so that they can deal with all kinds of emergencies on the spot.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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