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Energy efficient resource allocation is one of the critical issues for the coordinated multipoint (CoMP) transmission system, where the signal received by each mobile station needs to be converged among multiple base stations (BSs) in the same cluster. However, as the interaction of the system is frequent, the overhead of the backhaul signaling will be enormous. In this paper, an iterative resource allocation and scheduling algorithm (IRASA) with dual method is proposed to solve the optimization problem aiming to maximize the system energy efficiency, which considers the backhaul capacity constraints, circuit power consumption and zero forcing pre-coding (ZFP). Simulation results show that our proposed IRASA can significantly improve the energy efficiency of the system with the backhaul capacity constraints.

Accurate forecast of demand is an important prerequisite to raise supply chain performance. In this paper, the author proposes a forecasting model of supply chain demand basing on the fractal theory. In this model, the historical temporal series is transformed into cumulative sum series to fit the total fractal distribution and the method of Equal-length and Changeable-dimension using Compensating Figure is introduced in to improve the accuracy of long-term forecasts. Analysis the real data of a certain supply chain and the numerical study proves the validity of the prediction model.

In order to provide a basis for designing outer annular-stiffener type steel castellated beam (OATSCB) - concrete filled steel tube (CFST) joint, the factors that influence the load-displacement skeleton curve of this kind of joint is analyzed. OATSCB - CFST joint with different influencing factors are designed, and their loading process is simulated by using finite element software ABAQUS. Before simulating, the simulating method is verified by previous test result. The corresponding load-displacement skeleton curves of those joints are also extracted. By comparing these curves in diagram, the following conclusions can be gotten: OATSCB - CFST joint has good seismic performance; steel yield strength, steel ratio and beam to column linear stiffness ratio are the important factors that influences the skeleton curve of this type of joint; opening rate is an important factor for this type of joint to form "strong column weak beam" yield mechanism.

Reducing signaling storm in wireless networks has become a major goal in designing today’s wireless communication systems. In order to reduce signaling storm, this paper addresses the issues of scheduling the signaling resources in wireless networks subject to both quality of service (QoS) and priority constraints. The applications in wireless communication systems are divided into three types,namely always-on applications, voice applications and the other applications. For all the applications, an admission control scheme is proposed that incorporates the reconfiguration of idle resources and the QoS negotiation. The QoS negotiation usually contains the following parts, QoS reduction of the new application, QoS reduction of the applications which have accessed to the network and the resources compulsory possession. When the signaling resources are limited, the proposed admission control scheme can improve the successful access rate of voice applications and reduce the impact of signaling storm in wireless network.

This paper demonstrates an asynchronous-stepwise updated strategy multi-objective particle swarm optimization (ASU-MOPSO) algorithm to improve the convergence and diversity of the multi-objective particle swarm optimization. In the process of the elite reduction, we utilize the asynchronous grid strategy to filter particles since this strategy has lower computing complexity. Meanwhile, the stepwised Euclidean crowding distance strategy is presented to filter particles within every grid, which uses the sum of the Euclidean distance with the two nearest particles to replace of the traditional crowding distance. This strategy can avoid the destruction of distribution diversity. Finally, our algorithm is successfully applied for the actual power transmission and transformation project establishing and decision-making problem. Comparing with traditional MOPSO based on crowding distance strategy and grid strategy, our algorithm can obtain the better solution.

Aiming to meet the demand for real-time monitoring and adjustment in modern tailings management process, and solving the problems the development of technological innovations bring about ,this paper comes up with the establishment of this system for tailings based on LabVIEW. Utilizing the LabVIEW software platform, the ACCESS database and SQL language development technology, the paper is able to design various functional modules to optimize monitoring accuracy, data processing efficiency, and costs. The system can play a pivotal role in acquiring real-time change of the indicators, updating and sharing of the relevant data, which can finally assure the operation of tailings.

The management of old goaf is always the emphasis and difficulty in our mining industry. And the filling method is a important means for managing the old goaf. Taking a certain old goaf in ZiBo as an example, the article in detail introduced the process of old goaf management, proposed methods of regulating the quality of filling materials, constructing a new downhole water filter wall and controlling concentration of solution value in 53% to 55%, to strengthen the quality of concentration of solution. Based on this, the strength of filling body is 0.6Mpa more than the designed requirement, which can bring the good experience for similar researches.

Taking the mining subsidence as research object, a real-time monitoring scheme was designed. On this basis, a virtual instrument monitoring system based on LabVIEW was constructed. The data acquisition instrument collect real-time data through monitoring of subsidence and subsidence slope deformation by this system in range of mining influence, then control and transform it. After this, the data was transmitted to the computer terminal through wireless transmission equipment, and monitoring will be got after analysis and prediction by computer terminal. This result can provide mining of this area with real-time advice and guidance, to reduce the harms brought by mining subsidence and unnecessary economic losses.

Aiming at there are long matching time and many wrong matching in the traditional SIFT algorithm, An image registration algorithm based on improved SIFT feature is put forward. First of all, through setting the number of extreme points in the feature point detection, feature points is found according to the DOG space structure from coarse to fine, and the improved SIFT feature descriptor generation algorithm is used. The preliminary matched point pairs are obtained by the nearest neighbor matching criterion, and the bilateral matching method is used for screening the preliminary matched point. Then, the second matching will be done by the similar measurement method based on mahalanobis distance, and RANSAC algorithm is used to calculate the affine transform model. Finally, the transformed image is resampled and interpolated through the bilinear interpolation method. Experimental results show that the algorithm can realize image registration effectively. Image registration technique is an important research content in computer vision and image processing in the, which are widely used in vehicle matching navigation and positioning, cruise missile terminal guidance, target tracking and recognition, image mosaic[1-6]. SIFT algorithm[3-5]can achieve image registration when there are translation, rotation, affine transformation between two images, even for images took by arbitrary angles. And SIFT feature is the milestone of local feature study. But there are long matching time and many wrong matching in the traditional SIFT algorithm, it is difficult to meet the requirement of fast image registration. This paper puts forward an image registration algorithm based on improved SIFT feature, which is robust for image rotation, affine and scale change, and is better than traditional SIFT algorithm.

Embedding the security mechanism into the device is the core of self-securing, on purpose to provide the device with the ability of self-defense. Currently, security of portable storage device is commonly depends on the host, which makes the data easy to be attacked or stolen. Researches on self-securing mechanism on portable device are few. In order to improve the safety of those devices, we proposed the prototype design of self-securing portable storage device based on the framework of ARM+Linux. Combined with access control, intrusion detection based on storage and data encryption/decryption, it can protect data availability, integrity and confidentiality effectively. Since we have expanded researches on self-securing mechanism of portable storage devices, this prototype design is promising to be one kind of trend of intelligent storage.

This paper studies the connotation and features of green manufacturing-oriented machining process planning and the methods to optimize it. It argues that, through optimized decision making and planning concerning process routes, process methods, process equipments, process parameters, process programs and so forth, each phase of the technological procedure can be improved to be more environmental friendly. Hence both economic and social benefits will be coordinated and optimized during product production. Fewer resources will be consumed and the negative influence on the environment will be mitigated.

The paper describes the characteristics, operating principles and specific application methods of Microwave Detection Techniques. Taking Microwave as the information carrier, Microwave Detection detects and diagnoses various applicable material components and natural phenomena. Its measurement and detection on some non-electrical properties, such as material properties and process parameters, are non-contact, non-polluting and rapid. And it has broad application prospects in the field of engineering.

In consideration of the disturbance influence, the system always has nonlinear terms. This paper proposes an adaptive autonomous cooperative control method for a class of nonlinear system based on the directed graph. The directed graph is used to describe the topology relationship among individuals in the system. The difference between desired and actual value of the system state is defined as error, by exchanging error information among individuals, and online-updating the nonlinear terms, all individual states are synchronized up to the desired value. The differential of the actual state is not needed, which reduces the requirements for relative measurment between individuals efficiently. Finally, the numerical simulation results show the correctness of the control law, and by configuring the control parameters reasonably, we can achieve high degree of control accuracy.

In the course of the comprehensive diagnosis of equipment troubles, infrared diagnosis technique is adopted to achieve the non-contact NDT (non-destructive testing) and fault diagnosis for the equipments in operation. The oil analysis and integrated monitoring expert system facilitates a comprehensive and systematic monitoring of the lubricating system of important equipments and the conditions of crucial movement parts, providing a development trend of the wearing process of the major friction pairs. It also detects the signs of failure so as to prevent sudden breakdowns, thus enhancing the reliability of condition monitoring and fault diagnosis.

In modern industrial enterprises, the level of systematization and automation keeps improving. In light of the complicated conditions that involve multiple factors, multiple failures and multiple processes in the operation of the equipments and by taking fault diagnosis of the unfavorable signs of commutation for DC motors as an example, the paper discusses the principles and application of the mixed integrated intelligent diagnosis system, taking advantage of the knowledge-based expert system and the intelligent diagnosis system of neural network ensemble.

The switched reluctance drive (SRD) is a new-type speed regulating motor drive system. It’s developed rapidly in the 1980s. The SRD is studied and designed all over the world. A simple SRD system had been designed based on the single chip microcomputer (C8051F310). The asymmetric bridge circuit is used to drive switched reluctance motor (SRM). Programming for microcomputer is based on the operation principle of SRM. Testing system could work well.

The principal stress axial would cyclic rotate when the moving pressure passed. In order to analyze long-term settlement of the ground subjected to traffic loading, the simplified method based on explicit model for predicting the accumulative deformations is usually preferred. The traditional model could not reflect the phenomenon of principal stress rotation. After the axial stress controlled equation and circumferential shear stress controlled equation were derived, A series of consolidated undrained cyclic shear tests were performed under the condition that the general shear stress value was constant and the principal stress angle was rotating. The explicit pore pressure model reference was verified to calculate the accumulative pore pressure caused by the principal stress axial cyclic loading.

The CAD software SolidWorks was used to create a three-dimensional finite element model of FTIR infrared spectrometer, and the model was imported into ANSYS/Workbench to modal analysis and harmonic response analysis. Through modal analysis, each order natural frequency and vibration shape were obtained. From modal shape analysis, all components of the stiffness strength and elastic deformation situation were got, and many times tests were carried to enhance stability of the structure and materials which had the most seriously deformation and direct effect impact to the quality of interferometer. The most sensitive frequency range of the system was concluded by harmonic response analysis, which provided a basis for further designing and improving of the spectrometer performance.

Room-and-pillar mining method plays a dominant role in gypsum mines, which owns a low resource recovery ratio and has left many gobs leading a series of safety production problems to mining enterprises. To get an utmost resource recovery and avoid gob collapse, a secondary utilization scheme has been made by feasibility analysis and theoretical calculation. In this scheme, theoretical calculation about the occurrence conditions of mining damage has been done, and the deep research direction of the mining damage mechanism in gob-effect gypsum mines has been pointed out. This research and its train of thought could provide the gob-effect gypsum mines with reference that would increase ore recovery ratio and prevent mining damage.

Bridge recognition algorithm based on straight-line characteristic is proposed in order to automatically recognize bridge from aerial images, which includes the steps of edge detection, straight-line extraction, coarse location for bridge, accurate location for bridge. Meanwhile, realize the fast accurate location for bridge area by modified 8-neighborhood connectivity processing. The experiment result shows the reliability and efficiency of the method proposed in this article.

The amount of methane emission is crucial to the safety of coal mine. The paper proposes the Levenberg Marquardt (LM) algorithm (in the nonlinear least squares algorithms) that can reduce the training time of BP network. Genetic Algorithm (GA) is used to optimize weights in global search to prevent the inherent defects that neural network is liable to get stuck in local minimal points. Furthermore, neural network can prevent the defect of weak GA local search. Finally, BP-GA modal was trained and the sample data were precisely analyzed, which proves that this model features broad adaptability and precision.

China is a country prone to natural disasters, especially the flood disaster. In order to improve the villages and towns flood emergency management, through a series of methods such as information management and simulation, the establishment of emergency decision support using information technology to reduce losses caused by floods, the visualization technology is used in the virtual reconstruction model of floods, intuitive way to simulate the dynamic spread of the process of the flood disaster, in a safe and economical method to obtain the number of indicators of disaster-related decision. It provides a new method and ideas, and then it gives a reliable basis for the flood prevention and emergency management. The visualization analysis and decision is achieved for the villages and towns flood control, and it provides great support for the villages and towns flood mitigation and prevention. The result shows that the system is useful and meaningful in the town flood mitigation.

According to SMART 2020, Internet and ICT (Information and communication technology) could reduce emissions by 15 percent in annual energy costs by 2020. One of the main methods to reduce the energy costs in communication system is to reduce the transmitting power of eNBs. In our study, we explore the problem of downlink energy saving for LTE/LTE-A network based on Orthogonal Frequency Division Multiplexing (OFDM). We propose an adaptive eNB transmitting power allocation scheme based on inter-eNB coordination. This power allocation scheme works in distributive way by being formulated as an evolutionary potential game. Numerical results prove that our proposed algorithm notably reduces the overall transmitting power, while throughputs of either overall or edge users are guaranteed at the same time.

To provide quality-of-service (QoS) differentiation and guarantee user fairness, efficient power and spectrum utilization for the downlink multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, a novel QoS guaranteed cross-layer (QGCL) scheduling scheme is proposed in this paper. The scheme formulates the scheduling into an optimization problem of overall system utility under the system constraints. Moreover, we propose a simple and efficient binary constrained particle swarm optimization (PSO) to solve the scheduling more effectively. Comparing with the classical methods, simulation results show that the proposed QGCL scheduling scheme can significantly maximize the system throughput given that the fulfillment of the QoS requirements as well as the fairness is guaranteed.

In order to achieve high-accuracy, high speed and low cost A/D conversion, a new design based on STC12C5A32S2 single-chip microcomputer (SCM) is given. Compared with the previous A/D conversion, the biggest advantage is that the paper combine software with hardware and it can adjust the speed of transformation through procedure.We don't need to modify circuit, just need to modify signals of input and procedures. So the flexibility of A/D conversion can be enhanced, also saved costs. The design mainly makes use of new function of STC12C5A32S2 SCM to realize conversion between analog signals and digital signals. In order that researchers can analyze and use the convention results, the design add a LCD display module. The paper primarily analyses the design of circuit and interface technology between the SCM and other chips. Also, the peculiar function of STC, the LCD display method of LMB202DDC and the flow of software are expounded in detail. The simulation result based on Proteus is given by the end of paper.

Contemporary high-tech buildings pursue ecological design. Through the use of new technologies, new materials and advanced scientific means to solve ecological problems. By improving energy efficiency, reducing consumption of non-renewable resources, making full use of clean energy, architects create an ideal living environment.

With the deep reform of national policy of building energy conservation and the increasing requirements of building fire protection, building insulation industry appeared a hitherto unknown development opportunity and challenge. This paper introduces the research and application of phenolic foam plate, modified phenolic foam plate with thermal insulation, fire prevention, environmental protection and other excellent properties, puts forward in the field of building energy conservation should be vigorously promoted the application of phenolic foam.

Exterior insulation is currently promoting a building energy-saving insulation technology. Compared with internal insulation, it is a reasonable technique and has its obvious advantages. However, in the insulation material, thermal insulation effect is better, fireproof performance is often worse. Through analyzing several external wall insulation materials’ insulation and fireproof performance, the article recommends a kind of external wall thermal insulation material with good insulation and fireproof performance, to meet the construction needs.

Due to the continuous upgrading technology of high-rise buildings, function expansion of high-rise buildings has unlimited possibilities, in the specific performance of function system’s optimization and function model’s integration. Function expansion make high-rise buildings’ image become various with a variety of features, internal use space become more efficient, convenient, thus for mankind to create a more comfortable space.

Aiming at problem about real-time processing power is poorer as the cause of too many clutter plots in multisource information fusion conditions when traditional information algorithm is used, method of sensor clutter elimination based on statistical characteristics analysis is put forward. Firstly, statistical characteristics of clutter plots are extracted, calculated and analyzed. Secondly, in combination with the advantages of multi-sensor detection, the plots of real-target have been filtered according to certain threshold values and safeguarded. Finally, a specific simulation experiment is given. Experiment shows this method can achieve the real-time processing power effectively.

Aiming at problems about repeat matching and wrong matching appeared when traditional SIFT algorithm was used in image matching, an image matching method based on SIFT feature was put forward. Firstly, SIFT features were extracted by traditional SIFT algorithm and candidate matching point pairs were obtained by the nearest neighbor rule. Secondly, lateral matching method was used to remove repeat matched dot-pairs. Finally, Mahalanobis distance as a similarity measurement was used to remove wrong matched dot-pairs. Experiment shows this method can achieve image matching effectively with high accuracy.

Proposing design principles to improve the external environment of high-rise buildings, including the principle of integrity, the principle of symbiosis, the principle of balance, the principle of environmental enhancement and the principle of economic. Specifically, a series of measures proposed to achieve good urban space of the high-rise buildings.

The friction and wear behaviors of PTFE composites filled with irregular or spherical copper powders were experimentally investigated. The effects of shape, content and size of the copper powders on the tribological properties of the PTFE composites were discussed. The results showed that the friction coefficients of the PTFE composites filled with irregular copper powders are higher than that of pure PTFE. While the friction coefficients of the PTFE composites filled with spherical copper powders were almost always lower than that of pure PTFE. Both irregular and spherical copper powders can effectively decrease the wear of the composites. The wear of the composites filled with spherical copper powders will gradually decrease with the increase of the content of copper. But the effect of the content of irregular copper powder on the wear of the composites was not so obvious. The friction coefficients and wear depths of the composites increase with the decrease of the Cu size. The increase amplitudes in friction coefficients and wear depths of the spherical Cu filled composites are smaller than those of the irregular Cu filled composites.