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The sensor pattern noise (SPN) can be regarded as the unique identity of a digital camera which is highly useful in digital image forensics [1, 2]. Existing methods [1, 2] which works by denoising each individual natural image often took an investigator a long time and great efforts to collect sufficient photos of diversified enough natural scenes. These processes are hard to repeat or standardized...
<?Pub Dtl?>Sensor pattern noise (SPN) extracted from digital images has been proved to be a unique fingerprint of digital cameras. However, SPN can be contaminated largely in the frequency domain by image content and nonunique artefacts of JPEG compression, on-sensor signal transfer, sensor design, color interpolation. The source camera identification (CI) performance based on SPN needs to be...
The design of adaptive test paper composition algorithm based on the item response theory is proposed and the ultimate goal of adaptive test is to measure the candidates' potential accurately. According to the item response theory, candidates' testing behavior is the reflection of their potential language ability and a potential of a candidate can be estimated directly by his/her item response together...
There is an improved algorithm of the matching of prefix and suffix BM strings is proposed. The algorithm becomes more efficient by combining the prefix and the location information of the next character of the current window, trying more location movements with the existing information. Experiments show that this algorithm is better than BM algorithm. Furthermore, an algorithm of subjective items...
In this paper, we do some exploration and research on the fifth-generation intelligent platform for distance education, and propose a architecture model for this platform. We also focus on the analysis of the key modules and implementation strategy that the intelligent platform for distance education should have and have a detail functional design of each module. At last, service-oriented architecture-based...
In the IPv4 wireless network, the quality of the communications between the wearable computers or the mobile nodes is slow and the wearable computers cannot achieve in the sub-seamless switching between LANs. According to the three function entities of mobile IPv6 the protocol stack software is divided into three major modules, and proposed design program and the division of sub-module based on the...
For the traditional expert system problems, combined with service-oriented architecture (SOA) and soft-bus idea, proposed a expert system design under a new architecture. And taking the medical expert system for example, clarify the advantages of the design, which has great significance for achieving the integration of expert system, interface standardization and system scalability.
The signals in the e-health support and curing system should be transferred in high quality, but in the traditional wireless network, the quality and the speed of the communications between the mobile e-health computers is slow. According to the three function entities of mobile IPv6 the protocol stack software is divided into several major modules, and proposed design and the division of sub-module...
According to SOA and soft-bus idea, propose one new solution of the medical expert system design based on the service soft bus architecture. By studying the medical expert system integration, interface standardization, the system infinite expansion and global interoperability, the result of the researching have great significance in overcoming the local application of the system and the redefinition...
In the IPv4 wireless network, the quality of the communications between the wearable computers or the mobile nodes is slow and the wearable computers cannot achieve in the sub-seamless switching between LANs. According to the three function entities of mobile IPv6 the protocol stack software is divided into three major modules, and proposed design program and the division of sub-module based on the...
Traditional wearable systems cannot communicate the location with the condition of people instantly, dynamically and accurately and it is also in low-speed, high-latency and unreliable; the system configuration information with location needs to be changed frequently. By emulating a distributed arithmetic, it analyzes the load of the communication network, the average time that the mobile agent has...
Modern wearable system requires users to transmit their own information of exact location and physical characteristics timely. It is required to reduce the network delay and excessive energy consumption, which are caused by network code in wearable WSNs. A fast random linear mechanism of network coding based on nodes collaboration is introduced. Energy consumption of nodes is reduced by transmitting...
The wearable video system supports decision making through analyzing video images. Because personnel who wear the system or the object monitored is always moving, the technology of motion detection and target contour extraction used in the wearable video system are studied. First, the frequently-used algorithms for motion detection are studied, including frame difference method and background subtraction...
Because the unstable wireless transmitting channel in wearable system, this article researched the broadcast characteristics of information channel in wearable wireless sensor network, and proposed a opportunistic routing protocol based on random linear network coding. This protocol used the distance unstable chain which can not be used by traditional route protocol. It requires each node except for...
There are so many bugs in current financial systems that result in a good loss. In this paper, it discusses on the authentication mechanism and do improves the original system-OPT up to KOPT with detailed design. It also analyzes the benefits of the new financial system.
The cluster approach is one of the basic methods to pattern classification and system modeling. The clustering target is that according to some rules, divide the sample data set in the sample space into some subsets indicating different patterns or system behavior[1]. In the course of establishing the video image indexing, every step from building index according to the basic visual characters of...
Distance Education retrieval is the most striking image retrieval and video retrieval, this paper presents a distance-oriented multimedia information retrieval system of multi-modal, and in the application of SVM support vector machine relevance feedback algorithm image classification conducted a preliminary attempt.
Image segmentation is an important image analysis technique, the segmentation result of which is critical to determine the performance of high-level modules in image processing system. After a brief introduction LLT image segmentation algorithm, focusing on analysis of the inadequacies of LLT algorithm, propose an improved ILLT image segmentation algorithm. Experiments show that the algorithm improves...
Vehicle identification is one of the key technologies to achieve road transport automation and the deep research of this technology has important practical significance to the development of intelligent transportation. Because image backgrounds of car models are complex, and the count of car models is too large, model identification has long been a research hotspot and difficult. This paper mainly...
In current license plate recognition, there are many problems because of the complex, irregular motion and blur license plate. This paper presents a license tilt detection method, and to improve overall system performance and reliability, proposes some detection algorithms: gravity center method, Hough transform, the method of put vertexes into a line. Simply described their processes, at the same...
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