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In view of the issue that current IT personnel training in colleges and universities lags behind the demand for inter-disciplinary talents under the new format of mobile internet, the author puts forward teaching reform program of advanced centralized practice courses to cultivate characteristic personnel engaged in micro-platform technology development, enterprise product promotion and operation in small and medium-sized enterprises. The centralized practical courses innovatively run throughout the third to seventh semester. It realizes personnel training objectives under the new format of the internet through implementation of three links of in-class “micro-experience”, “micro-practice” and “micro-actual combat” and intermittent real project development and operation in five extracurricular semesters. Students' innovation and practical ability has been improved after more than two years of reform and practice

In order to cut down the localization accuracy problem of wireless sensor network (WSN), a novel node localization method is proposed with back propagation neural network (BPNN). At first, the calculation of node localization is presented by ranging interval and signal strength, and the parameters are rapid solving base on BPNN. Finally, a simulation experiment is conducted to study the influence key factor with NS2 and MATLAB. The results show that, compared other localization algorithm, this method has good suitability, and it could effectively reduce the localization error.

Referring to the international specifications on NGOSS released by TMF (eTOM which specifies the Business Process Framework and SID which describes the Shared Information/Data and SLA which describes the service level agreement in NGOSS knowledge base), and domestic business specifications and status of related to BSS/OSS, the author studied the materials related to the SLA Information Model in OSS, explored the information modeling methods. It includes the correlation content of SLA information model from resource, service to customer.

Harmony Search algorithm is a heuristic approach for global optimization which mimicking the improvisation process of music player, and has been applied into different engineering applications. This paper first introduces the step and base flow of basic Harmony Search algorithm, aiming at the existent shortage, it analyzes the improved Harmony Search algorithm from two aspects including algorithm itself and combing with other algorithms, and then analyzes the application in multi-objective, and finally puts forward some future research lines.

The paper discuss the Wireless LAN 802.11b network security. WLAN security mechanisms including the comparisons of SSIDs, MAC address filtering and the WEP key encryption. based on these authentication methods, etc. By analyzing the weaknesses of WEP and RC4, a simulative platform of software and hardware is designed to crack WEP key. Experiments show that WEP Key can be cracked including SSID enumeration, MAC address spoofing and WEP key cracking by FMS Attack. The paper propose some solutions for Wireless LAN 802.11b network security, for example, WEP key hashing, Dynamic WEP keys, Initialization Vector changes and Message Integrity Check.

The current popular wireless sensor network operating system to be large and complex, Leading to the size of program after compiling is too large and difficult to put into the memory of low-cost processors. In this paper, for the improvement of the program size too large problem, we propose a Lightweight wireless sensor network operating systems(LOS) that is based TinyOS. Our LOS adapts C programming language, static memory mapping mechanism, event-driven concurrent control and monolithic kernel architecture to achieve lightweight Through appropriate design concepts and code optimization to achieve the light weight of LOS. Experimental results show that under the same algorithm, LOS can save about 20K bytes in size, to achieve a light weight of the goal.

Today, positioning techniques like GPS already has satisfied performance in outdoor environment, but there are many problems in indoor positioning, and some conventional methods for indoor positioning also have their disadvantage. In order to overcome these problems and find a better performance over these methods, we proposed a new positioning and tracking method. It is based on the wireless sensor networks deployed in an area, and uses the path loss model. In positioning we estimate the distance of each sensor to the target, then form the circular equation and finely use the last sensor to get the estimated coordinate of the target. Besides, we modified the simple method for distance estimation to overcome the influence brought by environment. In tracking we combine the location of former and latter time index to smooth the path. In the end, we've done many simulations and proved that our method performs better while comparing with the location fingerprinting method. Because of the low computational complexity, high accuracy and the applicability to different environment, it can be used in many practical applications.