# Simulation of Sports Monitoring System Based on Feature Network

Authors: Guangxia Luo; Guangwen Yao; Xiaopeng Zhao; Gang Wu; Yang Liu
Journal: Mobile Information Systems
 (2022)

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## Abstract

In recent years, the network can gradually express more and more complex systems. In the process of network expression, the basic elements of the system are defined as nodes, and the interaction relationship is defined as links. In the current application process, network data are diversified, some express feature structure information, and some express node attribute data. In practice, there is a lot of feature information of network nodes, many of which are redundant. How to filter out the redundant and useless feature information has become an important problem. So that, the feature network is applied, and the node feature correction method is designed. The weight method is used to express the relative importance of the feature problem. At present, the main discovery algorithms can only find the network structure features, and the clustering algorithm can only find the feature information about the network nodes. Therefore, this paper builds an embedded platform based on the remote control and constructs an embedded motion monitoring system. This paper starts with experimental research and completes the design of nutrition scheme through big data analysis method to enhance students’ physique. In this paper, we use the feature network to complete the embedded sports monitoring system and put forward several suggestions to improve sports nutrition management.


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## Body

## 1. Introduction

In daily life, the complex network has a common phenomenon but also has a positive significance in many applications. As an important means to analyze complex system, complex network is widely used in many research fields. It widens the road for the development of modern science and technology and provides the practical theoretical basis and innovative thinking and tools for the application and innovation of modern science and technology [1]. The specific contents of this study are as follows: using the existing campus network of the laboratory to build a wireless network. We make the bootloader of the ARM development board to realize the initialization of hardware. We make the driver and application of each hardware, receive PC control commands, and realize the feedback of the camera image signal and the operation of the electric motor. Health is an important capital for us to live and work hard. Good physical fitness can make people avoid some unnecessary troubles in their study and work and also make their study and work more efficient and their ability to deal with various events more prominent. However, in daily life, people often do not know how to maintain a healthy physical condition, or simply do not understand their own physical condition [2]. At the same time, the lack of relevant knowledge to improve their own physical quality, which leads to the modern human body weak, sick, and low immunity. In the face of such a situation, the state vigorously promotes national fitness activities, in order to improve the national health awareness and create a good physical quality. Fitness is an investment in people’s health [3]. Sports are not only directly beneficial to people’s health but also can eliminate pressure and guide a positive psychological state, which is an important means to strengthen people’s physique. Based on the educational experiment, this study explored the best sports nutrition management scheme to improve the national physique. In this study, physique includes human posture and physical fitness [4]. First of all, the physique is the structure of our body shape, including physical health, physical fitness level, and physical function. Through the use of feature network to build a network system about nutrition and health management, we can solve the complex problems of health level analysis and nutrition management, effectively improve the accurate reference data for people, and formulate the relevant nutrition and diet plan, so as to provide a good way to improve the health level of the whole people. At the same time, it provides an important theoretical basis and technical support for the innovation of scientific nutrition management [5].


## 2. Related Work

Network science has become an important science with a wide range and quick application skills. It can transform the problem from complex to simple and can realize fast operation and real-time interaction. Solve the problem that people are very headache effectively. The literature points out that using a feature network can make people understand the system more clearly and deeply [6]. Many systems have complexity and randomness in reality. Using a network can express complex characteristic network well. The literature thinks that when we express the network into graphs, the concept of the node will be generated [7]. The independent entity in the network will become a node such as a person and protein, and at the same time, it also derives the concept of expression in the network, while representing the relationship between nodes and nodes. The size of its value can indicate the strength of the relationship between nodes. The literature thinks that the Internet network is also a special network. It uses optical cable to transmit data, connects computers, and forms a huge network platform for information interaction and sharing [8]. At the same time, there are also network applications in many fields such as physics, chemistry, biology, economy, and computer. The literature shows that the system itself has good adaptability in the embedded motion monitoring system. According to the existing data standards, the program in the equipment control system can execute commands independently, and the simple command can be monitored and sent only by the monitoring system. Such a control and monitoring system can simplify remote control. But it is difficult to realize the function of completely unmanned monitoring, which is limited by the development level of artificial intelligence [9]. The paper introduces the remote monitoring system only by sending remote commands to realize the purpose of remote monitoring, and the equipment realizes the remote monitoring results by identifying the execution command [10]. The embedded motion monitoring system in this study does not monitor the operation process of the equipment in real time but only realize the sending of the execution command and the feedback of the execution results to collect the task report of the system [11]. The equipment can be monitored completely through local operation, and the system operation can be completed through the actual operation of local personnel. Through the research on health promotion system abroad, the paper finds that in order to enhance the close relationship between physical exercise and health departments, a health platform of sports medical integration can be established to realize the close linkage between sports and health [12]. At present, the state of our country’s national sports health level needs to be improved, and our development of sports health system still lacks top-level design [13]. At this time, we should improve the linkage between sports and health, and at the same time, we should also strengthen the talent team of all the departments of the association to strengthen the construction capacity and make a good basic guarantee [14, 15]. At the same time, to improve the health level of the whole people, we need to optimize the public health service level. The basic medical and health resources in various regions should be allocated reasonably according to the population distribution, which makes the basic medical and health institutions and talent teams face new important tasks and challenges. The results of national physical health monitoring issued by the Ministry of education at present indicate that the health level and physical quality of middle school students in China have been declining day by day in the past decade. Through the analysis of national health and nutrition management published by relevant departments, it can be understood that the physical quality ability of speed and strength is decreased while the weight and height of middle school students increase, among which the level of muscle strength and endurance is significantly reduced.


## 3. Characteristic Network Algorithm

### 3.1. Basic Principles

The standard information is calculated to show the advantages and disadvantages of the network feature calculation method, and then, the optimal scheme is selected.(1)NMI=−2∑i=1C1∑j=1C2MijlognMij/Mi;M;j∑i=1C1Mi;logMi;/n+∑j=1C2M;jlogM;j/n.If the number ofG nodes in the network remains unchanged, the network composed of randomly linked nodes forms an empty model.(2)Q=12m∑i=1n∑j=1nAij−didj2mIci,cj,C=C1……Ck.Continue to calculate and integrate the formula:(3)Q=∑i=1KLim−degi.2m2.Figure1 shows the estimated value of NMI and marks its minimum and maximum values in different cases.Figure 1
The relationship between NMI estimates andw and d.Figure2 analyzes the increase and decrease relationship between a and b.Figure 2
The SPCSA algorithm acts on the convergence of the corresponding objective functions on the two actual networks.Figure3 expresses the distribution of characteristic network nodes and analyzes the size of characteristic values and the distribution characteristics of network nodes in different modes.Figure 3
Node feature distribution. (a)u=0.3. (b)u=0.8.
(a)(b)The experimental results are shown in Figure4, where the black curve represents SPCSA, the red curve represents JCDC, the green curve represents the NMI value of CASC under different r, the purple horizontal line represents the NMI value corresponding to the SPC algorithm, and the dashed line represents each NMI curve corresponding to the confidence interval.Figure 4
The relationship between the NMI value estimated by various algorithms andr.The Ncut value is calculated to indicate the size of the feature value and the complexity of the problem in extreme cases.(4)NcutA=∑k=1K∑i∈Ck∑i∈∉CkAij∑i∈Ck∑j=1nAij.Due to the influence of irrelevant external factors, the formula needs to be improved, which is redefined as follows:(5)wij=Aijexp∑l=1mβlDijl2σ2.Based on the above, the Ncut calculation formula can be transformed into the following situations:(6)Ncute⟶,β⟶=∑k=1k∑i∈Ck∑j∉Ckwij∑i∈Ck∑j=1wij.In order to express the specific role of the node feature more specifically, the calculated feature weight can be expressed as an optimal value.(7)Nβ=∑l=1mβlwl∑l=1mβlwl.When calculating the characteristic value, due to the influence of various factors, there may be deviations.(8)Δβl¯t=blwl∑l=1mbl/wt.Assuming that the node feature weights meet this requirement in each iteration, a commonly used standardization function needs to be standardized.(9)βlt+1=fβlt+1=βlt+Δβl¯t∑l=1mβlt+∑l=1mbl/wl/∑l=1mbl/wl=12βlt+Δβl¯t.Continuously optimize the algorithm through a more scientific method, so as to achieve the purpose of finding the best algorithm. In the continuous optimization process, the best objective function model is also being sought.(10)A˜ij=Aijwn−e−∑​lDijlβc2l.The weight of the edge between nodes is determined by all the characteristics of the node.(11)L˜=LL+αYTY.Through the inherent algorithm, according to the weight of the node characteristics, the algorithm continuously calculates and solves, continuously optimizes, and independently completes the adaptation. In this process, thet-th iteration is more prominent, which shows the excellent computing power and problem-solving advantages of this algorithm.(12)R=∑k=1K1Ckα∑i,j∈CkA˜ij.


### 3.2. Feature Network Algorithm

For any matrix and its transpose matrix, the definition of the modular block is as follows:(13)Q=1L∑i,jAij−didjLIci,cj.Through the above definition of modulus block, in order to evaluate it clearly, we must find the closest characteristic value to express the relationship with nodes. Under different circumstances, nodes have different and negative effects on the expression of modulus blocks.(14)∑i,jAijIci,cj=∑k=1K∑i∈CK∑j∈CKAij=∑k=1KWk,∑i,jdidjLIci,cj=∑k=1KDk2.Therefore, the above formula is equivalent to(15)ΦG==∑k=1KWkL−DkL2.The bottom logic of community detection is related to the calculation of node eigenvalues and the orderly arrangement according to certain rules, so that the community detection problems appear aggregation, complex problems gradually simplify, and a simple system may appear to summarize all the elements of the special case.(16)Q=∑k=1KnNkWkL−DkL2.Through the above research and calculation results, the problem can be transformed into a special thinking direction that takes the modular block as the objective function to solve. The best quality will be taken as the main problem to optimize the design, and the minimum value of the objective function can be found to represent the complexity of node characteristics and the correlation between nodes.(17)ΦSG=−Q=∑k=1KnNKDkL2−WkL.By sorting out formula (17), the following formula is obtained:(18)ΦSG=∑k=1KnNkDkL2−WkL=trnZTB/L2−A/LZZTZ=trnZ˜TBL2−ALZ˜.What traditional clustering wants to do is to put similar nodes in the same area as much as possible. Therefore, the definition of this chapter is as follows. According to the clustering requirements of the characteristics of the nodes in the system,(19)ΦAG=∑k=1KnNk∑i,j∈Ckmij=trnZ˜TMZ˜.The characteristics of the node are various and rich in types. The role of the node in the process of community detection is very different, which is similar to the previous two chapters. Due to the gap in the calculation process of node spacing, the optimization calculation method can show the relative importance in a variety of situations.(20)mij=e−∑l=1mαlSijl.By combining the linear form and the detection network to express the objective function of the characteristic attributes of the node, the new function model obtained is as follows:(21)minzzTZ˜=I,α˘ΦSAG=minzzTZ˜=I,α˘ΦAG+ΦAG.It can be substituted into the standardization center to obtain the standard deviation of each feature.(22)minzzTZ˜=I,α˘ΦSAG=minzzTZ˜=I,α˘ΦAG+wΦAG.According to the known node feature weights, the process of solving the minimum objective function is as follows:(23)trnZ˜TBL2−AL+MZ˜,Z˜:Z˜TZ˜=I.In order to find the optimal solution for this kind of problem, the specified independent variable has a very wide range of values; that is to say, the row vector element can be set to a random value in R. Then, the original problem is transformed into this optimization problem for a simpler solution:(24)nZ˜TBL2−AL+MZ˜,Z˜:Z˜∈Rn×n;Z˜TZ˜=I.


## 3.1. Basic Principles

The standard information is calculated to show the advantages and disadvantages of the network feature calculation method, and then, the optimal scheme is selected.(1)NMI=−2∑i=1C1∑j=1C2MijlognMij/Mi;M;j∑i=1C1Mi;logMi;/n+∑j=1C2M;jlogM;j/n.If the number ofG nodes in the network remains unchanged, the network composed of randomly linked nodes forms an empty model.(2)Q=12m∑i=1n∑j=1nAij−didj2mIci,cj,C=C1……Ck.Continue to calculate and integrate the formula:(3)Q=∑i=1KLim−degi.2m2.Figure1 shows the estimated value of NMI and marks its minimum and maximum values in different cases.Figure 1
The relationship between NMI estimates andw and d.Figure2 analyzes the increase and decrease relationship between a and b.Figure 2
The SPCSA algorithm acts on the convergence of the corresponding objective functions on the two actual networks.Figure3 expresses the distribution of characteristic network nodes and analyzes the size of characteristic values and the distribution characteristics of network nodes in different modes.Figure 3
Node feature distribution. (a)u=0.3. (b)u=0.8.
(a)(b)The experimental results are shown in Figure4, where the black curve represents SPCSA, the red curve represents JCDC, the green curve represents the NMI value of CASC under different r, the purple horizontal line represents the NMI value corresponding to the SPC algorithm, and the dashed line represents each NMI curve corresponding to the confidence interval.Figure 4
The relationship between the NMI value estimated by various algorithms andr.The Ncut value is calculated to indicate the size of the feature value and the complexity of the problem in extreme cases.(4)NcutA=∑k=1K∑i∈Ck∑i∈∉CkAij∑i∈Ck∑j=1nAij.Due to the influence of irrelevant external factors, the formula needs to be improved, which is redefined as follows:(5)wij=Aijexp∑l=1mβlDijl2σ2.Based on the above, the Ncut calculation formula can be transformed into the following situations:(6)Ncute⟶,β⟶=∑k=1k∑i∈Ck∑j∉Ckwij∑i∈Ck∑j=1wij.In order to express the specific role of the node feature more specifically, the calculated feature weight can be expressed as an optimal value.(7)Nβ=∑l=1mβlwl∑l=1mβlwl.When calculating the characteristic value, due to the influence of various factors, there may be deviations.(8)Δβl¯t=blwl∑l=1mbl/wt.Assuming that the node feature weights meet this requirement in each iteration, a commonly used standardization function needs to be standardized.(9)βlt+1=fβlt+1=βlt+Δβl¯t∑l=1mβlt+∑l=1mbl/wl/∑l=1mbl/wl=12βlt+Δβl¯t.Continuously optimize the algorithm through a more scientific method, so as to achieve the purpose of finding the best algorithm. In the continuous optimization process, the best objective function model is also being sought.(10)A˜ij=Aijwn−e−∑​lDijlβc2l.The weight of the edge between nodes is determined by all the characteristics of the node.(11)L˜=LL+αYTY.Through the inherent algorithm, according to the weight of the node characteristics, the algorithm continuously calculates and solves, continuously optimizes, and independently completes the adaptation. In this process, thet-th iteration is more prominent, which shows the excellent computing power and problem-solving advantages of this algorithm.(12)R=∑k=1K1Ckα∑i,j∈CkA˜ij.


## 3.2. Feature Network Algorithm

For any matrix and its transpose matrix, the definition of the modular block is as follows:(13)Q=1L∑i,jAij−didjLIci,cj.Through the above definition of modulus block, in order to evaluate it clearly, we must find the closest characteristic value to express the relationship with nodes. Under different circumstances, nodes have different and negative effects on the expression of modulus blocks.(14)∑i,jAijIci,cj=∑k=1K∑i∈CK∑j∈CKAij=∑k=1KWk,∑i,jdidjLIci,cj=∑k=1KDk2.Therefore, the above formula is equivalent to(15)ΦG==∑k=1KWkL−DkL2.The bottom logic of community detection is related to the calculation of node eigenvalues and the orderly arrangement according to certain rules, so that the community detection problems appear aggregation, complex problems gradually simplify, and a simple system may appear to summarize all the elements of the special case.(16)Q=∑k=1KnNkWkL−DkL2.Through the above research and calculation results, the problem can be transformed into a special thinking direction that takes the modular block as the objective function to solve. The best quality will be taken as the main problem to optimize the design, and the minimum value of the objective function can be found to represent the complexity of node characteristics and the correlation between nodes.(17)ΦSG=−Q=∑k=1KnNKDkL2−WkL.By sorting out formula (17), the following formula is obtained:(18)ΦSG=∑k=1KnNkDkL2−WkL=trnZTB/L2−A/LZZTZ=trnZ˜TBL2−ALZ˜.What traditional clustering wants to do is to put similar nodes in the same area as much as possible. Therefore, the definition of this chapter is as follows. According to the clustering requirements of the characteristics of the nodes in the system,(19)ΦAG=∑k=1KnNk∑i,j∈Ckmij=trnZ˜TMZ˜.The characteristics of the node are various and rich in types. The role of the node in the process of community detection is very different, which is similar to the previous two chapters. Due to the gap in the calculation process of node spacing, the optimization calculation method can show the relative importance in a variety of situations.(20)mij=e−∑l=1mαlSijl.By combining the linear form and the detection network to express the objective function of the characteristic attributes of the node, the new function model obtained is as follows:(21)minzzTZ˜=I,α˘ΦSAG=minzzTZ˜=I,α˘ΦAG+ΦAG.It can be substituted into the standardization center to obtain the standard deviation of each feature.(22)minzzTZ˜=I,α˘ΦSAG=minzzTZ˜=I,α˘ΦAG+wΦAG.According to the known node feature weights, the process of solving the minimum objective function is as follows:(23)trnZ˜TBL2−AL+MZ˜,Z˜:Z˜TZ˜=I.In order to find the optimal solution for this kind of problem, the specified independent variable has a very wide range of values; that is to say, the row vector element can be set to a random value in R. Then, the original problem is transformed into this optimization problem for a simpler solution:(24)nZ˜TBL2−AL+MZ˜,Z˜:Z˜∈Rn×n;Z˜TZ˜=I.


## 4. Research on Embedded Sports Monitoring System and Sports Nutrition Management

### 4.1. Embedded Motion Monitoring System

The robot monitoring system is composed of two important components, the software on the robot side and the monitoring software on the upper computer, and they are connected through the interactive way of sockets. Among them, the software system used on the robot side includes bootloader and driver, and the software used for host computer monitoring includes VC++. Their composition is shown in Figure5.Figure 5
System software structure diagram.This study chose another way. After the data file is represented by the process network address space, the process can completely skip accessing ordinary memory and directly access the target file, thereby achieving a rapid increase in access speed. The process of image acquisition using MMAP is shown in Figure6.Figure 6
Video capture flowchart.


### 4.2. Current Situation and Management of Sports Nutrition

As we all know, carbohydrate, fat, and protein are very important for the normal growth and development of the human body. The relevant departments of the state suggest that their intake should be maintained at 60%, 25%, and 15%. From Table1, we can see that most of the experimental objectives cannot achieve the ideal ratio. The proportion of protein intake of all dietary selection targets is small, and the proportion of fat intake is high. This situation is not only among middle school students but also in the whole nation. At present, the breakfast nutrition intake advocated by the national nutrition agency should meet the minimum standard, which indicates that lunch is an important meal in a day’s diet, which can keep the body’s energy at a good level and make the afternoon work and study full of energy and vitality.Table 1
Intake of total calories and three major thermal nutrients (three-day average).
NumberingGenderAgeHeightWeightRecommended actual intakePercentage of total heatTotal heatQuantity (per day)SugarProteinFatTester 1Male18179.472.91913260058.499.8231.67Tester 2Male17178.881.52856280052.2711.4936.68Tester 3Male17169.666.1262528005311.1936.17Tester 4Female17164.1102.22118240061.269.9228.79Tester 5Female18153.654.62317230056.2412.3431.75Tester 6Female17163.868.62208230047.8613.538.68Tester 7Female17161.363.81791240054.3111.2134.57Tester 8Female17155.365.92768240061.179.9329.82Tester 9Male17175.273.32469280045.7310.3644.4Tester 10Male17187.510433056280051.3511.2537.8Tester 11Female1716776.31872240052.8211.6235.93Tester 12Male18164.179.82681260060.111.1128.82Table2 shows the proportion of actual caloric intake to the recommended value.Table 2
The percentage of three meals in total calories (three-day average).
Percentage of total calories consumed in three mealsNumberingBreakfastLunchDinnerTester 133.429.437.2Tester 229.432.038.6Tester 337.133.029.9Tester 438.818.842.4Tester 536.631.032.5Tester 629.931.542.7Tester 725.642.628.9Tester 850.325.624.1Tester 943.428.927.7Tester 1035.125.339.7Tester 1127.736.435.8Tester 1224.829.445.9From Table3, we can understand that the intake values of vitamin b1, b2, c, and retinol equivalent intake values of most of the survey target populations can achieve the recommended value requirements and even exceed the recommended value range.Table 3
Vitamin intake (three-day average).
Vitamin intake (mg) recommended value/actual intake valueNumberingRetinolequivalent (μg)VB1VB2VCTester 1800/515.261.3/1.531.3/2.1560/26Tester 2800/30351.8/3.301.8/2.9560/141Tester 3800/21701.8/2.991.8/2.7660/163Tester 4800/11221.6/1.211.6/2.3060/26Tester 5800/32511.1/2.211.1/2.5660/138Tester 6800/840.61.1/1.871.1/1.8760/29Tester 7800/841.41.6/1.581.6/1.5460/55Tester 8800/23611.6/2.101.6/2.3360/170Tester 9800/29771.8/2.181.8/2.7860/184Tester 10800/26201.8/2.641.8/3.2760/153.75Tester 11800/19821.6/1.91.6/2360/216Tester 12800/14651.3/2.841.3/2.0160/86.43Table4 uses the statistical analysis software spss13.0 to test and analyze the BMI value and fat rate of the two experiments and calculates the corresponding values p=0.721>0.5, p=0.412>0.5, and the difference is not statistically significant.Table 4
Analysis of the mean scores of the second test before intervention and the third test after intervention.
ProjectTPBMI5.1450Fat percentage5.2620Because of the energy consumption of exercise, it can promote the balance between energy intake and consumption, which will help to form healthy body weight and body fat index, and supplement nutrition can effectively promote the metabolism of the body and strengthen the body function. Strengthening physique is a long-term process that we should insist on exercise and ensure sufficient nutrition. Physical health education and physical education curriculum reform are also long. This paper uses network analysis to study the changes in the physical condition of many groups of teenagers, which means to cultivate and guide the healthy behavior habits of teenagers, and to carry out appropriate physical exercises and nutrition education, which has a positive and far-reaching significance for improving the health level of the whole people and promoting the harmonious development of society.


## 4.1. Embedded Motion Monitoring System

The robot monitoring system is composed of two important components, the software on the robot side and the monitoring software on the upper computer, and they are connected through the interactive way of sockets. Among them, the software system used on the robot side includes bootloader and driver, and the software used for host computer monitoring includes VC++. Their composition is shown in Figure5.Figure 5
System software structure diagram.This study chose another way. After the data file is represented by the process network address space, the process can completely skip accessing ordinary memory and directly access the target file, thereby achieving a rapid increase in access speed. The process of image acquisition using MMAP is shown in Figure6.Figure 6
Video capture flowchart.


## 4.2. Current Situation and Management of Sports Nutrition

As we all know, carbohydrate, fat, and protein are very important for the normal growth and development of the human body. The relevant departments of the state suggest that their intake should be maintained at 60%, 25%, and 15%. From Table1, we can see that most of the experimental objectives cannot achieve the ideal ratio. The proportion of protein intake of all dietary selection targets is small, and the proportion of fat intake is high. This situation is not only among middle school students but also in the whole nation. At present, the breakfast nutrition intake advocated by the national nutrition agency should meet the minimum standard, which indicates that lunch is an important meal in a day’s diet, which can keep the body’s energy at a good level and make the afternoon work and study full of energy and vitality.Table 1
Intake of total calories and three major thermal nutrients (three-day average).
NumberingGenderAgeHeightWeightRecommended actual intakePercentage of total heatTotal heatQuantity (per day)SugarProteinFatTester 1Male18179.472.91913260058.499.8231.67Tester 2Male17178.881.52856280052.2711.4936.68Tester 3Male17169.666.1262528005311.1936.17Tester 4Female17164.1102.22118240061.269.9228.79Tester 5Female18153.654.62317230056.2412.3431.75Tester 6Female17163.868.62208230047.8613.538.68Tester 7Female17161.363.81791240054.3111.2134.57Tester 8Female17155.365.92768240061.179.9329.82Tester 9Male17175.273.32469280045.7310.3644.4Tester 10Male17187.510433056280051.3511.2537.8Tester 11Female1716776.31872240052.8211.6235.93Tester 12Male18164.179.82681260060.111.1128.82Table2 shows the proportion of actual caloric intake to the recommended value.Table 2
The percentage of three meals in total calories (three-day average).
Percentage of total calories consumed in three mealsNumberingBreakfastLunchDinnerTester 133.429.437.2Tester 229.432.038.6Tester 337.133.029.9Tester 438.818.842.4Tester 536.631.032.5Tester 629.931.542.7Tester 725.642.628.9Tester 850.325.624.1Tester 943.428.927.7Tester 1035.125.339.7Tester 1127.736.435.8Tester 1224.829.445.9From Table3, we can understand that the intake values of vitamin b1, b2, c, and retinol equivalent intake values of most of the survey target populations can achieve the recommended value requirements and even exceed the recommended value range.Table 3
Vitamin intake (three-day average).
Vitamin intake (mg) recommended value/actual intake valueNumberingRetinolequivalent (μg)VB1VB2VCTester 1800/515.261.3/1.531.3/2.1560/26Tester 2800/30351.8/3.301.8/2.9560/141Tester 3800/21701.8/2.991.8/2.7660/163Tester 4800/11221.6/1.211.6/2.3060/26Tester 5800/32511.1/2.211.1/2.5660/138Tester 6800/840.61.1/1.871.1/1.8760/29Tester 7800/841.41.6/1.581.6/1.5460/55Tester 8800/23611.6/2.101.6/2.3360/170Tester 9800/29771.8/2.181.8/2.7860/184Tester 10800/26201.8/2.641.8/3.2760/153.75Tester 11800/19821.6/1.91.6/2360/216Tester 12800/14651.3/2.841.3/2.0160/86.43Table4 uses the statistical analysis software spss13.0 to test and analyze the BMI value and fat rate of the two experiments and calculates the corresponding values p=0.721>0.5, p=0.412>0.5, and the difference is not statistically significant.Table 4
Analysis of the mean scores of the second test before intervention and the third test after intervention.
ProjectTPBMI5.1450Fat percentage5.2620Because of the energy consumption of exercise, it can promote the balance between energy intake and consumption, which will help to form healthy body weight and body fat index, and supplement nutrition can effectively promote the metabolism of the body and strengthen the body function. Strengthening physique is a long-term process that we should insist on exercise and ensure sufficient nutrition. Physical health education and physical education curriculum reform are also long. This paper uses network analysis to study the changes in the physical condition of many groups of teenagers, which means to cultivate and guide the healthy behavior habits of teenagers, and to carry out appropriate physical exercises and nutrition education, which has a positive and far-reaching significance for improving the health level of the whole people and promoting the harmonious development of society.


## 5. Conclusion

Feature network as an important method can solve a variety of complex relationship problems, and at the same time, in-depth research can effectively build the best system to deal with problems efficiently and quickly. The issue of community testing has attracted widespread attention from people from all walks of life. Network data are complex and diverse, not only from a wide range of sources but also from multiple sources. This paper mainly studies the community detection problem with node feature network. Based on the current development status of this research direction, this paper proposes the following discovery algorithm. This paper uses a mobile robot based on S3C2440 to design a remote motion monitoring system. The system comprehensively applies ARM embedded technology, wireless communication technology, image acquisition technology, and remote control technology, which is of great practical application value. This article has conducted in-depth research on the remote network motion monitoring of mobile robots and conducted related technical analysis and system network design. The design content includes using the S3C2440 embedded motion design monitoring system hardware platform, scientific analysis of the U-BOOT writing process and the embedded Linux transplantation method on the S3C2440 platform, the poor dietary structure, and the unsatisfactory nutritional status, and a variety of low dietary nutrient intake, low nutritional KAP levels, and insufficient health and nutrition knowledge have not directly affected the habits of students. The higher the nutritional KAP value, the healthier the physique. There is a close relationship between the level of physical activity and dietary nutrition. At this stage, in the process of studying sports nutrition, by using molecular biology methods, macroscopic problems have been transformed into microscopic problems. The research at the cellular level has made great progress, and biochemical research has provided effective research on kinematics, theoretical basis, and excellent research methods.



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*Source: 4048431-2022-07-15.xml*