Applied Mechanics and Materials Vols. 599-601

Abstract: This paper presents the structure and the operational principle of CMOS image sensors. And then the reason is illuminated for producing dark current and black level of CMOS image sensors. It is necessary to calibrate dark current and black level to improve quality of CMOS image sensors. The dark current is corrected by optimizing pixel structure, perfecting technology, improving 6layout, and correction double sample. But these ways do not calibrate black level. So, it is important to calibrate black level using black level calibration algorithm in the stage of image processing.

Abstract: Message-Oriented Middleware(MOM) with Pub/Sub model is suitable for the information transmission of TT&C computer system for the advantage of fully information sharing, loosing coupling interconnects, many-to-many communication and flexible resources reorganization. This thesis introduces the basic concept of Pub/Sub model, analysis the characteristics of TT&C application.Priority it put forward the key technologies: Message model, Matching algorithm, Routing protocol and Redundancy virtualization strategy for establishing MOM with Pub/Sub model on TT&C compter system.

Abstract: Comparing with other High-level programming languages, C Sharp (C#) is more efficient in software development. While MATLAB language provides a series of powerful functions of numerical calculation that facilitate adoption of algorithms, which are widely applied in blind source separation (BSS). Combining the advantages of the two languages, this paper presents an implementation of mixed programming and the development of a simplified blind signal processing system. Application results show the system developed by mixed programming is successful.

Abstract: The traditional reconstruction method of Compressive Sensing (CS) was mostly depended on L₁-norm linear regression model. And here we propose Bayesian Compressive Sensing (BCS) to reconstruct the signal. It provides posterior distribution of the parameter rather than point estimate, so we can get the uncertainty of the estimation to optimize the data reconstruction process adaptively. In this paper, we employ hierarchical form of Laplace prior, and aiming at improving the efficiency of reconstruction, we segment image into blocks, employ various sample rates to compress different kinds of block and utilize relevance vector machine (RVM) to sparse signal in the reconstruction process. At last, we provide experimental result of image, and compare with the state-of-the-art CS algorithms, it demonstrating the superior performance of the proposed approach.

Abstract: A new campus tracking system to solve the problem of campus thefts based on IoT is presented in this paper. The data of RFID tags was collected by FRID reader and transmitted over short distance by ZigBee. Then the data was transferred to PC, which was connected to ZigBee coordinator node and transferred to the user or administrator through campus network at last. The user or administrator landed tracking system to select items by the entrance guard system or not. Therefor valuables were ensured in security and the thief would be blocked. If the thief forced the goods out entrance guard system, Beidou navigation chip embedded objects would be opened, and goods would be tracked with the Beidou navigation system. Experimental results show that the system can manage campus valuables intelligently.

Abstract: In this paper, electronic map information is used to registration, extract the coast contours, then operate equidistant sampling, extracting the key point from the corner, identify potential area of ship docking and rule it. The results show that the methods can find the candidate region of ship quickly and accurately, avoid the useless search, improve the efficiency of detection and recognition algorithm.

Abstract: Through in-depth research on branding and marketing microblogging theory, summarizes the advantages and methods based automotive marketing microblogging branding strategy, analyze the current situation of the car microblogging marketing, implementation and effectiveness of the monitoring of the development of automobile brand communication strategy will be comprehensive exposition, based on theoretical build car branding and marketing strategy microblogging system.

Abstract: Low-voltage power lines are not designed to transmit communication data; it is not ideal channel characteristics using power line as a data communication medium, especially the noise generated by the several of household electrical appliances will have a significant impact on the power line communication system. First, low-voltage power line carrier communication and channel noise characteristics are analyzed, and based on pure electricity environment UPS, the experimental results obtained with different electric appliances for data processing, and analyze the impact of the electric appliances noise on the power line carrier communication.

Abstract: Certificateless public key cryptography is a new paradigm that simplifies the traditional PKC and solves the inherent key escrow problem suffered by ID-PKC. As realizing both encryption and signature security goals, certificateless signcryption is one of the most important security primitives in CL-PKC. To adapt multi-user settings, we present a certificateless multi-signcryption scheme without pairing. The performace analysis shows that the scheme is very efficient.

Abstract: With the development of social platform, the number of status people use to express their feelings is so large that the requirement for analyzing emotion value and emotion trend quantitatively is so hot. To meet this need, we propose a FSM based model aiming at the feature of short text in Chinese. And with it, we can then evaluate the emotion value in a scientific and quantitative way. Through experiments, we prove the accuracy and the efficiency of this model.