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The paper focuses on the locomotive intelligent watt hour meter based on STM32. By designing Intelligent watt hour meter main function, hardware architecture, and software processes to achieve energy data display, storage, and duplex communication. The hardware structure consists of main control module, electric energy metering module, communication module and other components, electric energy metering module is responsible for data acquisition, the main control module is responsible for data processing, communications module is responsible for two-way communication. Using MATLAB software to simulate the newly developed Intelligent watt hour meter,the simulation results show that, the intelligent watt hour meter has the advantages of high precision, low power consumption, fast performance, strong anti-interference ability, low manufacturing cost etc.

Troubleshooting and safety monitoring in the underground mine by manual operation often have the existence of security risks, so the trend of replacing manual operation by robots increases. In robot vision navigation, image enhancement in the automatic target recognition is the most critical stage of the pretreatment when extracting the image feature and matching. As the contour enhancement effect of multiscale Retinex algorithm is very good, which plays a key role in the robot visual scene image. When underground mine mobile robot identify path in machine vision navigation, this paper proposes a application of robot vision with SQI algorithms based on Retinex, which aims at its poor real-time performance and serious affecting by light interference.

The paper introduces the structure of locomotive energy consumption monitoring system, technical parameters and the method of software design. The system uses electric energy metering chip CS5463, ARM kernel STM32F103R8T6, GPRS wireless communication module and RS485 communication interface to realize the multi-system locomotive AC and DC measurement, remote meter reading and other devices and locomotive communication connection. The liquid crystal display LCD stores the locomotive power information, the current, voltage, power and energy data with their own real-time clock time-sharing data fragmentation such as type test on the system, the system of high precision, strong anti-interference ability, low power consumption, safety etc.

In the digital image processing, Otsu algorithm uses the criterion of maximum between-cluster to make image segmentation. In this paper, combined with drug defect detection requirements, the new threshold output functions is put forward which studies on the existing two-dimensional Otsu algorithm in a deep way from the computing complexity and integral effect. The improved algorithm improves the computing speed of the algorithm and optimizes the segmentation effect which is a good segmentation algorithm. The effectiveness of the proposed algorithm has been proved by relevant experiments, and the medicine image segmentation result show that the improved algorithm has a good application prospect in drug defect detection.

The distribution network voltage level is directly related to residents' normal use of electricity, in order to correctly predict the low-voltage distribution network voltage quality, to take timely and effective means to prevent low-voltage phenomenon, the article collects nine indicators to reflect the characteristics of low-voltage distribution network voltage quality which are mainline diameter, mainline type, branch line diameter, branch line type, power supply radius, distribution transformer capacity -load ratio, the three-phase load unbalance rate, single-phase-home number, reactive power compensation rate. Then the article establishes a self-organizing competitive neural network model to automatic cluster the samples into three kinds which are normal, existing low voltage risk and existing severe low voltage risk. Using the known practical result to compare with the calculation results will indicate that the network model has high accuracy and feasibility.

Noise is an important factor in image quality of TGS In according to the Neighborhood Homogeneous Measurement (NHM) was proposed to process the salt-pepper noise of TGS image system which avoided the shortcomings of traditional median filtering algorithm and improved median filtering algorithm. A cross noise measurement window was designed in adaptive median filtering algorithm to adjust the domain of image pixel, which divided image pixel into noise and signal point through the calculation results of NHM. The iteration method was introduced to inhibit noise signal. The results showed that adaptive median filtering algorithm could effectively reduce the salt-pepper noise of TGS image system.

During the procedure of provider selection in e-commercial environment, how to make decision on selecting providers to complete the next transaction reliably is an emergency. Establishing trust system is an alternative to respond the challenge. Based on the analysis of existing trust model and the fundamental trust requirements, a novel cosine trust computational model was proposed in this paper and rational analysis is proposed at the end.

Trust managements have employed in overlay networks to collectives peers contributing source of themselves to other entities. And there are several schemes to solute the privacy information of trust, but they have some inherent drawbacks. In this paper, we proposed a threshold secret sharing based trust information management scheme and the details of implement protocol. At last, the rationality analysis of the scheme is discussed.

P2P based topology (VoD) has become one of main technologies for video on demand(VoD). Up to date, large-scale VoD system encounters low concurrent resource sharing and VCR requirements. In this paper, we propose a trust model to incentive VoD users contribute their storing materials. And we focus on the discussions of trust component for computing and content redundant coverage in large scale VoD in this paper. At last, several measurements of trust and content coverage of pre-fetch scheme are exploited by simulations.

The use of peer-to-peer (P2P) applications is growing Dramatically. To finish transactions successfully, rust mechanism plays an important role, which not only compact the communication traffic but also the data discovery. In this paper we address the problem of trust discovery mechanism in structured P2P network we proposed before. The main contribution of this paper is address the Zipf's law to trust discovery. At last, the experimentally evaluate the effectiveness of uniform and zipf trust distribution, the result shows that Zipf's law performed advantages to uniform distribution.

In virtual network society, trust of computer user takes an important role in transactions. Existing trust model focus on the study of the next transaction decision making based on past behavior. While the cost of next transaction is seldom be taken as a consideration. In this paper, we proposed a novel trust model based on both expression of past transactions and the next transaction, especially make use of the cost of next transaction as an important consideration in trust prediction. The simulation shows that the next cost play an important role in the future transactions.

Study of trust in P2P network now is focus on how to effectively against various malicious behaviors such as providing fake or misleading feedback about other peers and the management of trust in a P2P environment. But the scotoma of portability that trust peer can join (leave) a certain P2P network at anytime and anywhere is seldom discussed. In this paper, a structured topology for trusts management in portable P2P network based on DHT (discrete hash table) is proposed first, in which includes trust management strategies and peer operations on certain DHT circle. After that, a novel trust-computing model for the structured P2P network and the main trust decisions in the structured network are introduced too. Effectiveness and practicality of the proposed trust management have been showed in simulation experiments at the end.