A Novel Modified Evolutionary Algorithm based Image Retrieval Framework : Theoretical Analysis and Applications

Tiejun Wang,Weilan Wang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.1

With the fast development of data analysis and computer science technology, the design and implementation of image retrieval system has been a hot topic. The prior research focus more on image-size based approaches which are not intelligent or convenient. In this paper, we present a novel modified evolutionary algorithm based image retrieval framework theoretically with applications. To achieve more accuracy in less number of iteration, this paper, proposed a new approach to enhance the performance of content guided retrieval methodology by improving the performance of RF through Particle Swarm Optimization, Genetic Algorithm and Support Vector Machine. The objective of using Genetic Algorithm and Particle Swarm Optimization is to increase the number of images in relevant set where SVM is used to classify the relevant and irrelevant images. The experimental and numerical simulation indicate the efficiency of our method which means the presented technique is helpful in the fields where high accuracy rate of image retrieval is required. Further work of interest is also discussed in the final section.

An integrated biomass-derived syngas/dimethyl ether process

Tiejun Wang,Jie Chang,Yan Fu,Qi Zhang,Yuping Li 한국화학공학회 2007 Korean Journal of Chemical Engineering Vol.24 No.1

Cu-Zn-Al methanol catalyst combined with HZSM-5 was used for dimethyl ether (DME) synthesis froma biomass-derived syngas containing nitrogen. The syngas was produced by air-steam gasification of pine sawdust ina bubbling fluidized bed biomass gasifier with a dry reforming reaction over ultra-stable NiO-MgO catalyst packedin a downstream reactor for stoichiometric factor (H2, CO, CO2) adjustment. It constantly gave syngas with H2/CO ratioof 1.5 and containing trace CH4 and CO2 during a period of 150 h. The obtained N2-containing biomass-derived syngas% CO per-pass conversion and 66.7% DME selectivity could be achievedunder the condition of 533 K, 4 MPa and 1,000-4,000 h1. The maximized DME yield, 244 g DME/Kgbiomass (dry basis),was achieved under a gasification temperature of 1,073 K, ER (Equivalence Ratio) of 0.24, S/B (Steam to BiomassRatio) of 0.72 and reforming temperature of 1,023 K with the addition of 0.54 Nm3 biogas/Kgbiomass (dry basis).

Research on New Multi-Feature Large-Scale Image Retrieval Algorithm based on Semantic Parsing and Modified Kernel Clustering Method

Tiejun Wang,Weilan Wang 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.1

Because of the feature points can describe the local characteristics of the image in a reasonable manner, effective use of feature point of content based image retrieval become the current hot issues in the field of computer vision. Aiming at this problem, we put forward a kind of combination clustering based on feature points, a new method of image retrieval. The method includes the combination of feature point clustering algorithm and based on the algorithm of local color histogram construction strategy. With the existing and local color histogram retrieval method based on feature points, compared to the method can effectively solve the current method of feature point location information and feature point center relying too much on the problem. Subjectivity and as a result of the manual annotation image accuracy, the traditional image retrieval methods cannot meet the needs of the user. Multidimensional indexing technology is only from the perspective of how to improve the indexing algorithm to adapt to the large-scale database to consider a problem, in content-based image retrieval. Our research combines the advantages of the semantic analysis and kernel clustering which will enhance the performance of the traditional image retrieval methods and strengthen the feasibility of the algorithm.

Recognizing Comparative Sentences from Chinese Review Texts

Wei Wang,TieJun Zhao,GuoDong Xin,YongDong Xu 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.5

Comparisons play an important role in making decisions by referring to the comparative opinions of opinion holders in earlier customer reviews. Recognizing comparative sentences from review texts contributes to opinion mining and information recommendation. Our objective is to automatically recognize comparative sentences from Chinese text documents. In this paper, an effective approach is proposed based on comparative patterns to recognize comparative sentences in Chinese. Our experiments on customer-generated product reviews show that the proposed approach is effective.

The MPEG Internet Video-Coding Standard [Standards in a Nutshell]

Wang, Ronggang,Huang, Tiejun,Park, Sang-hyo,Kim, Jae-Gon,Jang, Euee S.,Reader, Cliff,Gao, Wen IEEE 2016 IEEE signal processing magazine Vol.33 No.5

<P>To address the diversified needs of the Internet, the ISO/IEC JTC1/SC29/WG11 Moving Picture Experts Group (MPEG) started the project of Internet video coding (IVC) in July 2011. It is anticipated that any patent declaration associated with the baseline profile of this standard will indicate that the patent owner is prepared to grant a free-ofcharge license to an unrestricted number of applicants worldwide. IVC has been developed in MPEG from scratch by combining well-known existing technology elements and new contributions with free-of-charge licenses. Recently, IVC's compression performance has been determined to be approximately equal to that of the advanced video coding high profile (AVC HP) for typical operational settings, both for streaming and lowdelay applications. In June 2015, the IVC project was approved as ISO/IEC 14496-33 (MPEG-4 IVC). It is believed that this standard can be highly beneficial for video services in the Internet domain. This article describes the main coding tools adopted in IVC; evaluates its performance compared with web video coding (WVC), video coding for browsers (VCB), and AVC HP; and provides the subjective comparison results between IVC and AVC HP.</P>

Soft-Input Soft-Output Multiple Symbol Detection for Ultra-Wideband Systems

( Chanfei Wang ),( Hui Gao ),( Tiejun Lv ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.7

A multiple symbol detection (MSD) algorithm is proposed relying on soft information for ultra-wideband systems, where differential space-time block code is employed. The proposed algorithm aims to calculate a posteriori probabilities (APP) of information symbols, where a forward and backward message passing mechanism is implemented based on the BCJR algorithm. Specifically, an MSD metric is analyzed and performed for serving the APP model. Furthermore, an autocorrelation sampling is employed to exploit signals dependencies among different symbols, where the observation window slides one symbol each time. With the aid of the bidirectional message passing mechanism and the proposed sampling approach, the proposed MSD algorithm achieves a better detection performance as compared with the existing MSD. In addition, when the proposed MSD is exploited in conjunction with channel decoding, an iterative soft-input soft-output MSD approach is obtained. Finally, simulations demonstrate that the proposed approaches improve detection performance significantly.

Learning Extraction of Chinese Comparative Sentences for Evaluative Text

Wei Wang,TieJun Zhao,GuoDong Xin 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.3

With the prevalence of Web 2.0, people increasingly prefer to express opinions and exchange information through CGM (consumer-generated media), such as blog, Internet forum and etc. Many studies pay attention to extract and analysis user opinions in consumer reviews. This paper studies how to automatically extract Chinese comparative sentences from consumer reviews. At first, the paper describes a method for solving the class imbalance problem of comparatives and non-comparatives in review data. Then we built a support vector machine learning model to classify comparatives and non-comparatives into different group on a balanced dataset. Experiments were conducted on consumer-generated product reviews, including 9600 sentences, of which 1,624 (16.92% of the total) were comparisons. Experiments show an overall F-score of 87.26%, which presents the effectiveness of the proposed approach.

Review on the research of contact parameters calibration of particle system

Xuewen Wang,Haozhou Ma,Bo Li,Tiejun Li,Rui Xia,Qingbao Bao 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.3

With the widespread application of the discrete element method, research on accurate simulation of particle systems has attracted significant attention. However, there is no accurate process for the parameter calibration of particle systems. Most calibrations use a direct measurement method or test-simulation combined calibration method. Both methods have their advantages and disadvantages. This study reviews the calibration of contact parameters of particle systems, introduces the main calibration methods of different contact parameters, and summarizes the advantages and disadvantages of two main measurement methods. For the parameter measurement of particle systems, the accurate representation of particle shape and the reasonable optimization of simulation time are still not perfect. Furthermore, the correction of parameters after calibration applied to subsequent simulation needs further discussion.

Key Technology Development and Application of High-Security UHF RFID Systems

Pan Tiejun,Zheng Leina,Wang Ming,Zhu Xiaodong 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.10

Threats in Internet of things are ubiquitous such as counterfeiting, product piracy and product recall. China is no exception to this trend. The reader SoC (system on chip) chip of Ultra high frequency (UHF) Radio Frequency Identification is the key technology to solve these threats. Due to RF technology, tag data is read and written through wireless transmission directly in the air. In order to avoid tag theft and related backstage database attack, we provide UHF High Security System (UHS-HSS) to prevent the tag data monitoring in third party equipment. UHF-HSS regard UHF RFID reader SoC chip technology as the technology foundation provides chip level security solutions, system level information security service and industry level security applications for the IOT. This paper introduces a complete set of software platforms based on UHF RFID sensors including the underlying Linux operating system and related device driver, IOT platform technology, RFID middle-ware technology and software platform application. It solves the critical problem of security and reliability of UHF RFID applications for the national economy, which is of a great significance for the development of China's Internet of Things technology.

Media-aware quantitative trading based on public Web information

Li, Qing,Wang, Tiejun,Gong, Qixu,Chen, Yuanzhu,Lin, Zhangxi,Song, Sa-kwang Elsevier 2014 Decision Support Systems Vol.61 No.-