Intro; Preface; Organization; General Chair; Program Committee Chairs; Publication Chairs; Publicity Chairs; Local Organizing Chairs; Program Committee Members; Contents; Regular Papers; Application of the CT Image Processing in the Urology Surgery; Abstract; 1 CT Image Processing; 2 Analysis of the Nursing Requirements in the Urology Surgery; 3 Application of the CT Image Processing in the Urology Surgery; 4 Conclusion; References; Application of the Data Mining Technology in the Economic Management in the Age of Big Data; Abstract
1 Analysis of the Characteristics of the Age of the Big Data2 The Impact of the Big Data Technology on the Economic Management; 2.1 Data Sets Can Be Provided for the Economic Management; 2.2 Data Information Processing Efficiency Is More Efficient; 2.3 Big Data Can Provide a Variety of the Data Information; 3 Research Status of the Data Mining; 4 Application of the Data Mining Technology in the Economic Management in the Age of the Big Data; 4.1 Use the Big Data Technology to Strengthen the Process Control of the Data Information Analysis
4.2 Use the Big Data Technology to Improve the Scientificality of the Economic Management Decision-Making4.3 Use the Big Data Technology to Establish the Classified Economic Management Database; 5 Conclusion; References; Comprehensive Evaluation System Which Adapt to the Layout of Power Facilities and the Utilization of Channel Resource Based on the New-Type Urbanization; Abstract; 1 Introduction; 2 The Construction Principle of Comprehensive Evaluation System; 3 A Comprehensive Evaluation System; 3.1 The Influencing Factors of the System; 3.2 Evaluation System
4 The Process of Comprehensive Evaluation System5 Sample; 6 Conclusion; References; Computer Desktop Image Compression Technology Based on the Clustering Algorithm; Abstract; 1 An Overview of the Computer Desktop Image Compression Algorithms; 1.1 Basic Properties of the Computer Desktop Images; 1.2 Classification Methods of the Computer Desktop Image; 1.3 Explanation of the Existing Computer Desktop Image Compression Algorithms; 1.4 Hybrid Desktop Image Compression Algorithm Based on the Fine Classification; 2 Procedure of the Compression Algorithms for the Computer Desktop Images
2.1 Principles of the Image Compression2.2 Classical Image Coding; 3 Computer Desktop Image Compression Technology Based on the Clustering Algorithms; 3.1 The Partition-Based Method; 3.2 The Level-Based Method; 3.3 The Density-Based Method; 3.4 The Grid-Based Method; 3.5 The Model-Based Method; 4 Conclusion; References; Construction of the English Teaching Model Based on the Interactive Network Streaming Media; Abstract; 1 Streaming Media Technology; 2 Transfer Modes of the Streaming Media; 2.1 Progressive Streaming Transport; 2.2 Real-Time Streaming Transport