Earticle

Coal handling system in thermal power plant is the important component of the auxiliary system of power plant, it takes on the power plant's power to produce fuel supply missions with other corresponding mechanical and electrical equipments. During the operation of thermal power plants, the improvement of working efficiency of coal handling system is the key factor to improve the work efficiency of the whole power plant, the whole process of remote monitoring of coal is also put forward higher requirements on the design of automatic control system, so we choose the most widely used PLC control system in coal handling system, it makes the dream a reality.

IoT is a vision of interconnected everyday objects and self-configuration wireless networks of sensors. In IoT environment, it is needed to share information pervasively without user’s intervention. We propose a new interconnection technique for efficient information sharing in IoT environment considering social network. We present a method and algorithm which is based on not only the analysis of the human’s social network but also the consideration of the device’s sociality. Then we describe some scenarios and implement prototype system using the scenarios. Some experiments are conducted. From the experimental evaluation, we verified that our proposed technique is helpful in the efficient interaction between devices without any intervention of humans.

Food security is a strategic cornerstone of national security, and the food safety storage is a recognized problem. Accurate representation of grain storage environment is a fundamental premise for secure storage, which is very difficult because of the complex linkage relation between stored grain and grain storage environment. The characteristics between grain and environment, such as large time lag, two-way coupling, nonlinear, time-varying, make analysis and modeling face more difficulties and challenges. Based on this, combining PLS and TS fuzzy model, a modeling method of dynamic nonlinear multi-input multi-output (MIMO) system is proposed in this paper, which effectively solves the problem of strong nonlinear and correlation, at the same time reduces the computational complexity of data modeling methods. The simulation results show that this modeling could effectively describe the relationship between storage grain and environment.

This paper aims to construct an environmental monitoring system for newly decorated room. Digital temperature-humidity sensors, formaldehyde sensors, benzene sensors, ARM11 and Linux embedded system were selected. According to the application characteristics of the sensors, hardware device drivers were designed, generated kernel module files were loaded into the Linux kernel, and the user application programs operating the sensors’ devices were written. To get accurate measurement and reliable evaluation for environmental condition, a two-level fusion algorithm was designed, which was composed of data-level fusion based on adaptive weighted fusion algorithm and decision-level fusion based on fuzzy set theory and judging principle of composite index. The system was capable of realizing the real-time acquisition and transmission for environmental data. Thus, the indoor environment quality could be accessed conveniently by users via PC terminal on the Internet.

Recently, the intelligent services demands interactions with the sensor networks, actuator networks, and context aware applications. Actuator network supports an infrastructure to have an immediate access to information for controlling the physical world and its objects using sensor networks and context aware applications. Actuator network middleware supports the command message transfer for controlling the behavior of the environment or physical systems. In this paper, we design and implement the actuator network middleware based on ID(IDentification) and IP(Internet Protocol) address for control the environment using multiple actuator devices. Also, this middleware assigns ID for identifying each actuator nodes, and uses an IP address for transferring control messages between application and actuator networks. And, the presented middleware provides to connect between actuator ID and IP address using the mapping table. We design the middleware using sequence diagram and state diagram, and implement it based on .Net framework. The middleware supports to transfer command messages between application and actuator networks.

Although started late, the development of ASP flooding technology in China was rapid. With the spread of the field test of ASP flooding, the effect of the emulsifying property of the composite system during the process of seepage on the oil displacement efficiency has gradually become the problem that people are concerning. In this paper, taking Jing-11 fault block reservoir in Huabei Oil Field as the research object, the influence rule of alkali, surfactant and polymer on the stability of the crude oil emulsion was inspected through indoor experiment. Besides, on the basis of the controlling variables method and under the circumstance of other conditions remains unchanged, the simulated displacement experiment was conducted using the physical model for ASP system of emulsion type and non-emulsion type surfactant respectively. It is proved that the emulsifying capacity of ASP flooding has significant effect on improving the oil displacement efficiency.

New standard CIE S 011/E:2003 “CIE standard general sky” was accepted in Ukraine in 2010. With its adoption the question of its appropriate usage with national documents became an important event. Feasible way of standard’s utilization with Ukrainian daylighting standards and effects of its implementation are given in the paper.

The change cause of the thermal imager alignment and its detection principle are analyzed in this paper. On this basis, an infrared thermal imaging is designed for the shortcomings of the traditional detection method, that alignment change detection system is based on CCD imaging technology. The cross pinhole target is used to establish the measurement space coordinate system for the digital image interpretation program in this system. The interpretation software is called about aiming at the baseline variation in the data processing system. According to the position relationship of the 5 pin hole in the field of the infrared thermal imager, the alignment change can be measured. The experimental results show that the system can effectively test the change in the baseline of the thermal imager, and the uncertainty of the test is better than 0.05mil.

In living environments, abnormal and unusual situations should be quickly recognized. This can be said to be a study regarding secure safety. The purpose is to prepare measures for quick recognition and the avoidance of risk factors in residential environments. To intellectually recognize living spaces, measures to recognize various risks quickly are necessary. In the present study, factor extraction and situation detection measures necessary for space intellectualization for recognizing unusual situations in advance in urban spaces are proposed. Unusual situation occurrence factors in living environments were classified, and risk elements by factor were derived. The risks were calculated utilizing the extracted unusual situation elements to show the actual utilization.

Smart Home is one of the main application domains of Pervasive Computing, and it can provide Context-aware Services to homeowners. As context information is obtained from different sources in the Smart Home environment, the context information may be heterogeneous, inaccurate and dynamic. How to effectively model these different types of context information is a main research issue. To address this issue, we propose a hybrid Context-aware Modeling approach based on UML and Colored Petri Net in this paper. We also model leave home scenario using this approach, and use Coverability Graph to verify the leave home scenario model.

The study on spatial attributes of willingness to pay(WTP) is meaningful for cost sharing of environmental goods recovery. This paper forces on the rules of spatial variation of willingness to pay in different areas, by division of sub-area and construction of trend surface. It is divided 71 sub-areas by Voronoi Polygon and constructed trend surface of willingness to pay for each sub-area for the non-use value of Songhua River as a study case. The result shows that high WTP areas spatially aggregated around the environmental goods, as low WTP areas dispersed on both sides of the environment goods uniformly. Which influenced the WTP is not only the distance, but the degree of understanding and the use of environment goods, interpretated by Probit models. It’s an easier and faster method for the trend surface construction, which has a significant value for the study of spatial attributes of willingness to pay.

In this paper, an intelligent control of the greenhouse in the Greenhouse Management Framework (GMF) has been designed for the purpose of increasing the farmer’s profit and promoting the ease of agricultural production. The GMF is divided into Greenhouse Control Engine and Crop Growth Engine. The Greenhouse Control Engine consists of Data Aggregator, Greenhouse Information Storage, and Greenhouse Control Agent. The Greenhouse Control Agent includes Information Analyzer, Control Device Selector, and Greenhouse Control Model. The Crop Growth Engine consists of Crop Status Information Storage and Crop Growth Agent. The Crop Growth Agent includes Crop Status Predictor, Environment Set-points Decisioner, and Crop Growth Model. In this paper, the aim to reduce the consumption cost of the control device driven for the optimal greenhouse growth environment is one of the major features of the framework that is being proposed. In order to reduce heating cost, which consists of a major part in the cost of cultivation, we have tested the performance of our proposal for the GMF through the simulation. The simulated results confirm the decrease of heating costs from the present GMF.

The Field Programmable Gate Array (FPGA) technology has been used for designing the signal processing circuit of A/D device, CRE code and Manchester module of high-voltage side for optical current transformer in this paper. The A/D controlling module, CRC code module, Manchester encoding module and the storage in FPGA has been designed and simulated. The signal processing circuit design program of high-voltage side for optical current transformer in this paper has been proved from the simulating results and can meet the requirements of optical current transformer on communication of data, which is rapid and reliability.

The mental health of rural-to-urban migrants in China is a critical issue. The aim of this study was to test the migrants' mental health. The findings drawn from this qualitative study of 769 migrants in Wuhan in 2012 based on the Bayesian structural equation model. Overall, the survey found that leisure plays the greatest positive role in migrants' mental health, as well as work, interpersonal relationships, and health status have a negative role in migrants' mental health. Thus, the government must set relevant regulations to help migrants establish a better life and work values to work energetically.

This paper introduces a proposed 3d home control system that provides realistic home control service for users. We implemented the 3d home control system between user-centered virtual reality and the real world based on wireless sensor networks. This implemented system consists of smart devices that are equipped with virtual reality, the hardware for a real-world representation, and the synchronization software. The main point of virtual reality is that users are able to control home appliances similar to embellishing their home structure. Communication between the components, we designed the own communication protocol and used the wireless personal area network-based Zigbee module. Some experiments were conducted using the proposed model. As a result of the experiment, the proposed home control system performed well as it was designed to.

This paper bases on Listed Chinese logistics enterprises samples, from two aspects of static and dynamic to empirically investigate main effect factors of the capital structure, then studies to compare related research results with traditional Chinese manufacturing listed companies, in order to reveal the characteristics of Chinese listed logistics enterprises financing decision and dynamic adjustment, and summarize the corresponding theory through that. The results suggest that financing decisions of Chinese logistics enterprises have a certain difference from the traditional manufacturing enterprises, not only in financing structure establishment, but also in the dynamic adjustment of capital structure, having more mortgage-backed asset, larger size and better profitability are the powerful conditions of rapid financing adjustment for logistics enterprises.

Aiming to ensure residential electricity, the effective implementation of electric universal service can improve the electric equalization and social justice. In order to promote electric universal service of the rural areas in Southwest China, the effect of electric universal services should be evaluated from the perspective of equalization. In this paper, an electric equalization evaluation model was proposed, which contains of electric supply equalization and electric benefit equalization evaluation models. The electric supply equalization evaluation model was established based on variation coefficient method. Meanwhile, the electric benefit equalization evaluation model was conducted based on prospect theory. At last, the electric equalization degree of the rural areas in Southwest China was evaluated, which shows that the electric equalization degrees have increased from 2006 to 2013, but still are low. What’s more, some suggestions are put forward to improve the implementation of electric universal service.

Many houses in Villa Milagrosa Town Homes in San Pedro, Laguna are in substandard condition. This means that families often suffer from unsafe and uncomfortable indoor condition. Holes in roofs or gaps in doorways allow hot air to get inside in the summer and to flow out in the rainy season. Sustainable technologies must be applied to structurally sound homes to make them more resource efficient, improve their quality of life and benefit the environment.

Medical Customer Relationship Management (CRM) is a kind of study method for the patient and potential patient carries on the exchange, timely access to and convey information, tracking to give the necessary guidance. The purpose of community hospital CRM is the daily business management and decision analysis of the hospital with the relationship between doctors and patients. Decision tree learning is an inductive learning algorithm based example. Rough set theory is used to process uncertain and imprecise information. In this paper, a decision tree algorithm based on rough set is proposed, and the improved decision tree algorithm based on rough classification is better than the standard C4.5 algorithm in classification accuracy and regression rate by experiment. Finally, the improved decision tree method is applied to the smart medical analysis CRM system. The experimental results show that the method can improve the management efficiency of CRM.