Spam Filtering:Online Naive Bayes Based on TONE

The naive, Bayes （NB） model has been successfully used to tackle spare, and is very accurate. However, there is still room for improwment. We use a train on or near error （TONE） method in online NB to enhance the perfornmnee of NB and reduce the number of training emails. We conducted an experiment to determine the performanee of the improved algorithm by plotting （I-ROCA）% curves. The resuhs show that the proposed method improves the performanee of original NB.

A Novel Approach for the Identification of Morphological Features from Low Quality Images

In this paper, a novel mathematical morphological approach is proposed, which is combined with an active threshold-based method for the identification of morphological features from images with poor qualities. The algorithm is very fast and needs low computing power.First, a mixed smooth filtering is designed to remove background noises. Second, an active threshold-based method is discussed to create a binary image to achieve rough segmentation. Third, some simple morphological operations, such as opening, closing, filling, and so on, are designed and applied to get the final result of segmentation. After morphological analysis, morphological features, such as contours, areas, numbers, locations, and so on, are obtained. Finally, the comparisons with other conventional methods validate the effectiveness, and an additional experimental result proves the repeatability of the proposed method.

Computer English Acquisition Environment Construction Based on Question Answering Technology Based on Question Answering Technology

In-depth vocabulary knowledge plays a key role in L2(second language)vocabulary acquisition,and computer English vocabulary is vital to academic performances of students majored in Computer Science.While many Chinese students cannot realize computer English vocabulary acquisition due to lacking input environment of computer English.To solve this problem,with techniques of keyword search,information retrieval,and text classification,to meet the diverse learning needs of students,it built the in-depth computer English vocabulary knowledge acquisition environment for the high frequency of computer English words,providing the depth of knowledge such as polysemy,synonyms,syntax,and pragmatics.The construction of in-depth computer English vocabulary acquisition environment helps future studies on computer English teaching applications.

Projecting Distortion Calibration and Evaluation of Coding Fringes in Structured Light System

Coded structured light is an accurate, fast 3D measurement approach with high sampling density, of which the encoded fringes are distorted when projected to curved surface. Focused on the demand of encoding, decoding, multiview registration and system calibration, we expect to obtain undistorted fringes from camera image. Therefore, in this paper, we analyze the accuracy and sampling density of projecting distortion calibration approach based on control point and fitting surface. Moreover, combining the characteristic of coded structured light system, we design encoded fringe projecting distortion calibration scheme based on simplified encoded structured light model. Primarily, we neglect the minor parameters that affect the calibration in structured light model to reduce complexity. Then, we build the correspondence between camera image points and projector image points and achieve the calibration. Finally, we design evaluation scheme of projecting distortion calibration with parallelism and equal interval, and verify the effectiveness and accuracy of the approach through visual effect and experimental data.

A Novel Filtering Method for Infrared Image

The image filtering technology is widely used in many fields, such as environmental monitoring and assessment, space remote sensing, recognition and tracking of infrared target. In this paper, aiming at the problem of poor generalization capability and over-fitting with artificial neutral network for infrared image filtering, a new filtering method is presented. The structure elements are used to set up the training samples. And then, based on support vector machine theory, it builds the learning ma-chine with proper model and trains the samples. The result can be used to suppress the background SNR of following image. The experimental result with infrared image shows that the method can obtain higher SNR than conventional neutral network and fixed Top-Hat operator method, especially in low SNR.

Traffic Collection and Analysis System

This paper designs and implements a network traffic collection and analysis system(NTCA).Network traffic is collected from multiple clients.According to the offline traffic analysis,network flows are analyzed and annotated with application protocol.At the same time,the results are stored in the system.NTCA also provides a visual interface to simplify the configuration process.With good flexibility and scalability,NTCA can be extended to a network traffic clas sification system,which is crucial to the research of network security technology.

Training Mode of Personnel Majoring in Network Engineering Based on Three Main Lines

Network engineering is an emerging major across many disciplines,so there is yet to be an established personnel training program for this field.Moreover,there is a lack of reference material concerning personnel training.Therefore,it is especially urgent to explore a model suitable for personnel training in network engineering and study relevant personnel training systems.In this paper,the present situation of network engineering personnel training in China is analyzed,and basic orientation and training targets of network engineering major are explored.We find that network engineering personnel training is based on three main combinations:theory and practice,learning and innovation under the social computing environment,and classroom and employment experience,thereby providing constructive experience for training high-quality personnel specializing in network engineering.

Computer English Teaching Based on WeChat

Computer English plays a vital role in academic study for students majored in Computer Science.As the fast development of information technology,traditional English teaching methods cannot meet students’learning needs.WeChat is the most popular mobile application of social networks in China.Its features of real-time communication,interactivity and utilization of fragmentary time attract educators’attention to its application in teaching.This paper carried out an empirical study to explore applying WeChat in Computer English teaching.With WeChat,an English interaction environment was built,and interactive learning activities were implemented.The experimental results show teaching based on WeChat is effective to improve students’Computer English skills.