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RISS 인기검색어
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- 저자 : Hongchen Wu (검색결과 3 건)
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Exploiting User Behavior Changes in Privacy Disclosure by Modified Clustering Technique
Hongchen Wu,Xinjun Wang,Zhaohui Peng,Qingzhong Li 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.5
The analysis of user behaviors has been an important subject in recommending research recently. This paper proposes a modified clustering technique, showing that users privacy disclosure may change when they are answering the information requests, and we argues that their attitudes, including risk, useful, appropriate, played an important role behind those changes. We presented the new data structure in our dataset that would be loaded to experiment, e.g. personal information requests, users’ answers to those requests, and most importantly, users cluster and attitude for later analysis. Our modified clustering technique would not only locate users privacy disclosure change by comparing the results from learning their past disclosure behaviors and from learning their current disclosures, but also exploit the relationship between the inconsistence in those two results and their attitudes. The data containing users’ answers to a questionnaire with personal information requests was integrated to analyze their disclosure behaviors and attitude with the proposed clustering technique. We indeed find some interesting connections between their privacy disclosure change and attitudes, and the exploration of this paper could benefit to any researchers and online community owners who focusing on user-centered strategies and personal-information-requesting issues.
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( Fei Wu ),( Lin Wang ),( Qiaomei Guo ),( Mingna Zhao ),( Hongchen Gu ),( Hong Xu ),( Jiatao Lou ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.3
IFN-γ release assays (IGRAs) have been developed as viable alternative diagnostic tools for detecting latent tuberculosis infection (LTBI). A customized homogeneous sandwich luminescent oxygen channeling immunoassay (LOCI) was used to quantify IFN-γ levels in IGRAs. Samples were collected from healthy volunteers (n = 40) who were T-Spot-negative and T-Spot-positive patients (n = 32) at rest. Then the amount of IFN-γ in the supernatant of IGRAs was measured by LOCI. The results demonstrated a low background, and high sensitivity, specificity, accuracy, and reproducibility, and a short assay time (only 30 min) with LOCI for IFN-γ. The recovery range was 81.63-102.06%, the coefficients of variation were below 5%, and the limit of detection was 19.0 mIU/ml. Excellent agreement between LOCI IFN-γ and the T-SPOT.TB test was obtained (97.2% agreement, κ = 0.94). The LOCI IFN-γ concentrations were significantly higher in T-Spot-positive patients than in the healthy group (p < 0.001). Moreover, as observed for the comparative LOCI IFN-γ assay, IFN-γ concentrations were related to the numbers of T-SPOT.TB spots. We have established an in vitro blood test for LTBI diagnosis, defined as LOCI IFN-γ. A high level of agreement between the LOCI IFN-γ method and T-SPOT.TB assay was observed in clinical studies that showed the LOCI IFN-γ method could determine LTBI. This study shows acceptable performance characteristics of the LOCI IFN-γ assay to diagnose LTBI.
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EFFECT OF METHANOL ADDITION ON COMBUSTION AND EMISSIONS CHARACTERISTICS ON A TURBOCHARGED GDI ENGINE
Hong Chen,Jiakun Du,Yuhuai Li,Wenfeng Zhan,Jian Wu,Fangxi Xie,Guangquan Wu 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.5
To enrich the knowledge and understanding of the application effect of methanol fuel in the current engine, the influence of methanol-gasoline blended fuel containing 10 %, 20 % and 30 % methanol addition (M10, M20 and M30) on the engine performance, combustion and emissions were studied on a turbocharged and direct injection engine with original control system and control parameters. The results showed that at the conditions with low speed, the peak heat release rate and cylinder pressure were decreased by the use of blended fuel while it shown an increased peak combustion pressure and heat release rate at high speed. Meanwhile, the combustion center of blended fuel was obviously different from gasoline and its optimal value, and the combustion variation was increased at low load. The fuel consumption lifted continuously with the increase of methanol addition ratio, and the equivalent fuel consumption of M10 and M20 also was higher than that of pure gasoline. For NOx emissions, although it has been improved continuously for M10, M20 and M30 under the higher engine load, the higher emissions were obtained for M10 and M20 at lower load. In addition, compared with gasoline fuel, the whole particle distribution curve and number concentration was significantly deteriorated with methanol addition.
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