Research on Home Healthcare Management System Based on the Improved Internet of Things Architecture

Benzhen Guo,Beibei Dong,Xiao Zhang,Jingjing Yang,Zhihui Wang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.9

This paper designs an improved internet of things architecture to redefine the internet of things architecture into the node domain, the network domain and the application domain so as to design and implement a home healthcare management system based on this improved internet of things architecture. In this way, all of the equipments characterized with Zigbee communication function in the blood pressure measuring node, the blood oxygen measuring node and the ECG measuring node can be connected to the internet through the Zigbee-Wifi gateway. Meanwhile data uploaded by the users can be stored and analyzed on the backend server of the internet of things so that the users can review their health data and control the node devices through the intelligent terminals such as cell phone etc. Taking the blood pressure measurement as an instance, the experiment has proved the feasibility and reliability of this system.

Research on the Rabbit House Temperature Regulation System based on the Internet of Things and Fuzzy PID

Benzhen Guo,Jingjing Yang,Zhihui Wang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.7

Since rabbit house is completely enclosed, then the environmental factors such as temperature, humidity, harmful gas and illumination etc will affect severely the health and the reproductive function of the rabbit. In view of this, it has been one of the important measures to improve the economic benefits of rabbit farming through the manual intervention on the micro-climate in the rabbit house. In this paper, it designs a rabbit house temperature regulation system to adjust the temperature of the rabbit house through the water curtain filtration and negative-pressure ventilation method. Also it utilizes the internet of things technology to implement remote management on the regulation system when the data about the temperature and humidity information in every rabbit house and the harmful gas concentration is uploaded to the background server via wifi connection to the network to enable the poultry feeders to make a real-time observation on the environmental information of the rabbit house in addition to the remote control of the water curtain and the running of the blower on their smart phones. Furthermore, it builds a model for the rabbit house temperature with the application of the fuzzy-PID control algorithm and the variable frequency drive technology to design a controller for the further decline in the system power consumption based on the optimal control. In addition to these, a prototype system has been established to conduct the experimental verification. The verification result proves that this system can be controlled reliably with technical feasibility.

Research on the Temperature & Humidity Monitoring System in the Key Areas of the Hospital Based on the Internet of Things

Benzhen Guo,Xiaojing Wang,Xiao Zhang,Jingjing Yang,Zhihui Wang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.7

This paper designs an internet of things-based temperature & humidity monitoring system in the key areas of the hospital to address the problem that the temperature and humidity monitoring systems are independent from each other in the hospital. The establishment of a hospital-level temperature and humidity monitoring platform is able to realize the integrated monitoring and management on such areas as ICU, pharmacy and operation room etc, where both of the temperature and humidity must be monitored. In every temperature and humidity acquisition node, the collected environmental data about the indoor humidity and temperature will be sent over the 433M wireless sensor network to the internet of things (IoT) gateway, through which data will be uploaded via wifi or the wired access network within the hospital to the background server, where in addition to data collection and analysis, various reports will be generated and control commands will be transferred. Then all of the medical staffs can make a real-time inquiry and control on the environmental data by connecting their intelligent terminals (such as cell phone) to the server. Actually when the humidistat thermostat controller is designed according to the DDC principle and the integral-separation PID control algorithm, the control on the central air-conditioning units is able to realize the real-time control of constant temperature and humidity. Also a prototype system has been established to conduct the functional verification. The experiment shows that this system is able to run steadily with precise data collection and reliable control.

Research on the Internet of Things-based Auxiliary Infant Feeding System

Benzhen Guo,Jingjing Yang,Xiao Zhang,Yu Liu,Shangfu Hao,Kezhong Yang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.12

Nowadays young parents are found deficient in the skills to take care of their infants due to the quick pace of modern life and the heavy working stress. Actually it has become one of the problems that perplex young parents when they have no idea about the amount of milk given to the infants each time, unsure about the temperature of milk, often forgetting to feed the infants on schedule or even making the infants choke on milk during the feeding. In view of this, this paper utilizes the internet of things technology to implement an intelligent infant feeding system, which can provide real-time monitoring on the temperature of nursing bottle, checking if the bottle has tilted or seriously tilted in addition to memorizing the feeding times. The measured information and data will be uploaded to the background server after the access to the household internet of things gateway via zigbee. Then the parents can configure the working state of the nursing bottle and receive the warning message on their smart phones. With the design of the hardware, the structure and the software system of the intelligent nursing bottle, this paper takes the intelligent nursing bottle as a node device for the connection to the household internet of things and conducts the experimental verification. The verification result proves that this technology is feasible and able to guarantee a stable operation.

An Improvement to the Algorithm of Human Body Detection in Video Surveillance

Jingjing Yang,Benzhen Guo,Xiao Zhang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.12

Human body detection in video surveillance is an important research point, which has been devoted for many years by researchers. But it can’t detect human body with the feature of HoG and classifier of SVM. This paper proposes an improvement measure to the traditional algorithm of human body detection in order to detect human body in video surveillance in real time. Through the Integral images to speed up the computation of features of HoG and HoD under the condition of Kinect, It can’t detect human body in video surveillance in real time. As human body detection using HoG features can’t meet the real-time requirement in the current time. This paper abandon the time-consuming processing of computing features of HoG with three line interpolation and Gauss filter in terms of traditional algorithm of human body detection, and This paper introduces the notion of Integral images to speed up the computation of the features of HoG and HoD with the help of Kinect. As a result, Our improved algorithm can get a better time performance than ever, which can get the average detection rate of 30~40 FPS, current performance getting promotion greatly than ever, under the condition of CPU 3.10Ghz, RAM 4 GB, 640*480 detection window.

Cluster Head Selection Optimization of IOT Medical Data Transmission Ant Colony Algorithm

Beibei Dong,Benzhen Guo,Yanli Ma,Xiao Zhang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.12

According to the standard ant colony algorithm in Internet of things (IOT) medical data transmission path selection, there are the problems of searching time is not long, easy to fall into partial optimization. This paper puts forward a kind of IOT medical data transmission model based on quantum pheromone updating and cluster heads choose optimization ant colony algorithm. First of all, using quantum bit probability amplitude encodes information of each path element, using quantum revolving doors and the route of the ants to update pheromone, then the ant search behavior is concentrated near the optimal solution, and the way of searching and restriction mechanism of avoiding precocious pheromone are combined, and finally optimizing the cluster heads of IOT medical data transmission model with the improved algorithm. The simulation experiments show that, through the pheromone update optimization of standard ant colony algorithm, and after the cluster heads optimization of IOT medical data transmission model, improved ant colony algorithm is more robust compared with the standard algorithm.

Combination of Cloud Computing and Internet of Things (IOT) in Medical Monitoring Systems

Yu Liu,Beibei Dong,Benzhen Guo,Jingjing Yang,Wei Peng 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12

With the fast development of cloud computing and computer science technology, the combination of the IOT and clod computing in the medical-assisted environment is urgently needed. The prior research focus more on individual development of the single technique, quite a less research on the field of medical monitoring and managing service application have been conducted. Therefore, in this paper, we study and analyze the application of cloud computing and the Internet of Things on the field of medical environment. We are trying to make the combination of the two kinds of technology monitoring and management information system in hospital. Remote monitoring cloud platform architecture model (RMCPHI) set up medical information in the first place. Then the RMCPHI architecture was analyzed. Eventually, the last effective PSOSAA algorithm proposed the hospital medical information service cloud system monitoring and management application. Experimental simulation illustrates that the proposed algorithm outperforms the other state-of-the-art algorithms. Further potential research areas are discussed.

Generalization Threshold Optimization of Fuzzy Rough Set algorithm in Healthcare Data Classification

Beibei Dong,Yu Liu,Benzhen Guo,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.3

There is ineffective classification problem in application of K-means clustering algorithm in massive data cluster analysis. This paper presents a K-means algorithm based on generalization threshold rough set optimization weight. Firstly, utilize attribute order described method, using the average distance calculation with Laplace method to optimize the generalization threshold of fuzzy rough set , then the Euclidean distance metric is used in the calculation of the similarity of K-means algorithm, introducing the variation coefficient into the cluster analysis, clustering the Euclidean distance weighted K-means algorithm totally based on data, finally, combine the rough set algorithm based on the generalization threshold optimization and K-means clustering algorithm, applied to medical and health data classification. The K-means algorithm based on generalization threshold rough set optimization weight presented by this paper has a better effect on medical and health data classification.

A Novel Image Segmentation Combined Color Recognition Algorithm through Boundary Detection and Deep Neural Network

Yu Liu,Jie Yang,Benzhen Guo,Jingjing Yang,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2

With the fast development of industry and computer science technology, the image color recognition has been a hot topic. The prior research focus more on sensor and hardware based approaches which are not intelligent or convenient. In this paper, we present a novel image segmentation combined color recognition algorithm through boundary detection and deep neural network. The deep learning algorithm can largely increase the accuracy of classification whereas cut down the processing time consumed, we adopt the deep neural network and support vector machine to extract image features both in RGB and YUV color spaces. Boundary detection in sudden change, by contrast, is more global in nature, such as texture, so need to integrate the whole information of the image. Under the guidance, we modify the current segmentation methods with boundary detection technique to serve as the pre-processing step before classifying colors. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise. Further analysis is also conducted in the final section.

A Rabbit Farm Environmental Monitoring System based on Internet of Things

Jingjing Yang,Cunxin Li,Xiao Zhang,Benzhen Guo 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.3

On account of the low degree of automation in a rabbit farm, this paper proposes a rabbit farm environmental monitoring system based on internet of things. First, this paper designs a rabbit farm environmental monitoring system according to the three-tier architecture of the internet of things. Then it chooses a wireless transmission module as required by the system in addition to the proposal of a new gateway initialization flow for the internet of things. After that, it analyzes the flow to query the farm monitoring data and the flow of reverse control on the environmental parameters to verify finally the feasibility of the system through the experiment.