Big data dynamic compressive sensing system architecture and optimization algorithm for internet of things

Xue, Jian-Wu; Xu, Xiaokun; Zhang, Feng

doi:10.3934/dcdss.2015.8.1401

Cited by 31 publications

(32 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e discussion of data security and privacy is proposed for medical wearable devices. rough the analysis of the results of the questionnaire, it is found that users lack the awareness of confidentiality and the concept of respecting others' privacy is poor [22,23], and corresponding protection strategies are proposed.…”

Section: Smart Healthcare Has Become a Connotative Forcementioning

confidence: 99%

Clinical Acupoint Selection for the Treatment of Functional Constipation by Massage and Acupuncture Based on Smart Medical Big Data Analysis

Sun¹,

Liu²,

Zhang

2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

With the development of society and economy, people’s lifestyle and eating habits have undergone great changes, such as spending a long time behind desks, sitting for a long time, drinking and staying up late, and emotional depression; functional constipation, a disease of the digestive system, has changed. It is extremely common, and the age of onset is gradually decreasing. The development of the medical and health industry is also accompanied by the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, which penetrates into all aspects of the medical and health field and has entered the stage of smart medical care. This article proposes a study on the clinical acupoint selection rules of massage and acupuncture treatment of functional constipation based on smart medical big data analysis. This article adopts a variety of methods such as literature data method and experimental research method to carry out related theoretical research and promotion of massage and acupuncture treatment under the background of smart medical big data and design a clinical experiment of massage and acupuncture treatment based on big data analysis for functional constipation. The advantages of big data algorithms, the law of selecting acupoints in massage and acupuncture treatment, and the comparison of CCS symptom score and PAC-QOL score are analyzed. From the frequency of acupuncture treatment of functional constipation, the top 5 acupoints are Tianshu, Shangjuxu, Dachangshu, Zusanli, and Zhigou. In this paper, the total effective rate of treatment in the experimental group reached 96.56%, while the total effective rate of treatment in the control group was only 75.02%. Tuina and acupuncture treatment of functional constipation has a good therapeutic effect and is worthy of extensive clinical application.

show abstract

Section: Smart Healthcare Has Become a Connotative Forcementioning

confidence: 99%

Clinical Acupoint Selection for the Treatment of Functional Constipation by Massage and Acupuncture Based on Smart Medical Big Data Analysis

Sun¹,

Liu²,

Zhang

2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…To realize the monitoring of showcase parameters, corresponding sensors are needed. In addition to sensors, instruments are also needed to collect and process sensor data and can control humidity in a certain way and send the data to the host computer after networking [11].…”

Section: System Designmentioning

confidence: 99%

[Retracted] Museum Display Showcase Furniture System Research Based on Internet of Things Technology in Intelligent Environment

Jin

2021

Complexity

View full text Add to dashboard Cite

The protection of cultural relics has always been an important issue in the field of museums and archaeology. With the development of Internet of Things technology, the security system of the museum is more intelligent and integrated. In order for the museum display system to keep up with the intelligent age, this article mainly studies the research and realization of the museum showcase system based on the Internet of Things technology in a smart environment. Before the start of the experiment, we developed the overall design of the system, including three functional modules: temperature module, illumination module, and monitoring module. The experiment is done mainly for system testing. The performance test of the sensor module needs to sample the temperature and humidity sensor to verify the accuracy of the temperature and humidity signal collected in the instrument circuit. The light information collection test uses the ADC sampling inside the CC2530 to obtain the required data and judges whether these temperature, humidity, and light intensity values exceed the preset values. The serial port needs to be initialized to carry out data communication and transmission normally. After the receiving end finishes receiving, the sending end will clear the data buffer to prepare for the next data transmission. The experimental data show that the error between the predicted value and measured value of the temperature system is about 3°C, which is within the allowable error range of the experiment. The results show that the system has perfect functions, is safe and reliable, meets the expected requirements, and has good practicability.

show abstract

“…Big data collects as detailed data as possible to identify the unique indicators in the data. rough the "full data" analysis method [21][22][23], we can find abnormal situations that we can easily ignore and forget in a large amount of data. In this case, outliers become extremely important and useful.…”

Section: Characteristics Of Big Datamentioning

confidence: 99%

[Retracted] Intelligent Design of Tennis Player Training Schedule Based on Big Data of Complexity

2021

View full text Add to dashboard Cite

Tennis players have more physical training content, and the training items are complex. For athletes, training programs that adapt to their individual characteristics should be formulated according to their physical characteristics. The current development of big data has brought about changes in thinking, management, and business models. The combination of complex systems and big data can also make breakthroughs in the sports field. Based on this, this article proposes a tennis player training schedule intelligent formulation system based on complex system big data. First of all, this article adopts the literature data method, comparative analysis method, experimental analysis method, etc., in-depth study of the concepts of big data, complex system, and the physical structure characteristics of tennis sports. This paper designs an intelligent system for making tennis players’ training schedule, which collects, transforms, and integrates tennis training data through the characteristics of big data. Then, the dynamic time regulation of tennis is performed through a complex system, and finally, the experimental system is analyzed. This article mainly analyzes the comparison of physical indicators between the experimental group and the control group before and after the experiment, the evaluation indicators of sports events, the strength training effects of tennis events, and the analysis of shoulder joint tests. There is no significant difference between the experimental group and the control group in the items before the experiment, P > 0.05 , which suggests that the physical fitness of the two groups of athletes is similar; in the posttest data, the experimental group and the control group have significant differences, P < 0.05 , indicating an effect from the experiment. In particular, in fan running, forward and backward strokes, and the serve, the scores of the experimental group were higher than those of the control group, indicating that the use of the formulated training system demonstrated significant results.

show abstract

Big data dynamic compressive sensing system architecture and optimization algorithm for internet of things

Cited by 31 publications

References 14 publications

Clinical Acupoint Selection for the Treatment of Functional Constipation by Massage and Acupuncture Based on Smart Medical Big Data Analysis

Clinical Acupoint Selection for the Treatment of Functional Constipation by Massage and Acupuncture Based on Smart Medical Big Data Analysis

[Retracted] Museum Display Showcase Furniture System Research Based on Internet of Things Technology in Intelligent Environment

[Retracted] Intelligent Design of Tennis Player Training Schedule Based on Big Data of Complexity

Contact Info

Product

Resources

About