Evaluation of Trustworthiness based on Fuzzy Set Theory

Hua Sun,Jiong Yu,ZhenYu Zhang,Li Li,Bin Liao 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.2

Risk Factors for Surgical Site Infections after Liver Resec-tion (A Multivariate Analysis of 6,132 Patients)

( Li-yang Sun ),( Jiong-jie Yu ),( Ju-dong Li ),( Xin-fei Xu ),( Jia-he Wang ),( Bing Quan ),( Wen-tao Yan ),( Feng Shen ),( Chao Li ),( Lei Liang ),( Tian Yang ) 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1

Aims: Surgical site infection (SSI) is a common postoperative complication and associated with an increased morbidity, hospital stay, and overall cost. The aim of the present study was to identify risk factors for SSIs after hepatic resection based on a large single-center cohort. Methods: A retrospective study was conducted of 6,132 patients who underwent liver resection without concomitant biliary reconstruction or gastrointestinal procedures between 2014 and 2016 at the largest hepatic center in China. The occurrences of SSI, classified as incisional SSI and organ/space SSI within 30 days after operation were investigated. Patient- and surgical-related risk variables were collected using standardized data collection form. A likelihood ratio forward regression model was used to assess the independent association of risk factors with SSI. Results: SSI developed in 587 patients (9.6%), including superficial/deep incisional SSI in 357 patients (5.8 %), and organ/ space SSI in 304 patients (5.0 %). Multivariate logistic regression analysis showed that obesity, diabetes mellitus, ASA score ≥ 2, liver cirrhosis, re-hepatectomy, hepatoliathiasis, and intraoperative blood transfusion were independent risk factors of overall SSI. However, incisional and organ/space SSI differed from each other with respect to risk factors. Among a variety of risk factors, hepatolithiasis, liver cirrhosis, and intraoperative blood transfusion were consistently associated with both incisional and organ/space SSI. Conclusions: SSI is a common complication after liver resection, and more caution should be taken in patients with hepatolithiasis or liver cirrhosis. Prevention strategies focusing on factors associated with SSI is necessary in order to reduce SSI after liver resection.

웹 사용 정보 마이닝 기반의 동적 사용자 프로파일 생성

안계순(Kye Sun An),고세진(Se Jin Go),정준(Jun Jiong),이필규(Phill Kyu Rhee) 한국정보처리학회 2002 정보처리학회논문지B Vol.9 No.4

It is important that acquire information about if customer has some habit in electronic commerce application of internet base that led in recommendation service for customer in dynamic web contents supply. Collaborative filtering that has been used as a standard approach to Web personalization can not get rapidly user's preference change due to static user profiles and has shortcomings such as reliance on user ratings, lack of scalability, and poor performance in the high-dimensional data. In order to overcome this drawbacks, Web usage mining has been prevalent. Web usage mining is a technique that discovers patterns from We usage data logged to server. Specially, a technique that discovers Web usage patterns and clusters patterns is used. However, the discovery of patterns using Apriori algorithm creates many useless patterns. In this paper, the enhanced method for the construction of dynamic user profiles using validated Web usage patterns is proposed. First, to discover patterns Apriori is used and in order to create clusters for user profiles, ARHP algorithm is chosen. Before creating clusters using discovered patterns, validation that removes useless patterns by Dempster-Shafer theory is performed. And user profiles are created dynamically based on current user sessions for Web personalization.

Two new quinones from the roots of Juglans mandshurica

Mei Jin,Jinfeng Sun,Ren Li,Shengbao Diao,Changhao Zhang,Jiong-Mo Cui,손종근,Wei Zhou,Gao Li 대한약학회 2016 Archives of Pharmacal Research Vol.39 No.9

Two new quinones, 1-hydroxy-5-pentyl-anthraquinone (1) and 4-(5-hydroxy-1,4-dioxo-1,4-dihydronaphthalen- 2-ylamino)-butyric acid methyl ester (2), together with two known quinones, 5-hydroxy-2-(2-hydroxy- ethylamino)-(1,4) naphthoquinone (3) and juglone (4) were isolated from the roots of Juglans mandshurica (Juglandaceae). Their structures were elucidated on the basis of spectral data. Compound 3 was isolated from the Juglans genus for the first time. Compounds 1–4 exhibited significant cytotoxicity towards cultured MDA-MB231, HepG2 and SNU638 cells with IC50 values ranging from 4.46 to 88.47 μM.

공익연계마케팅 활동에 대한 냉소적 소비자의 반응

정유정(Yoo Jeong Jiong),전선규(Sun Kyu Jun) 한국마케팅학회 2014 마케팅연구 Vol.29 No.2

본 연구는 기업의 마케팅활동에 대해 냉소적 태도를 보이는 성향이 강한 소비자들에게 있어 과연 공익연계마케팅 활동을 소개하는 기업광고 즉, 공익연계마케팅 광고가 기업에 대한 긍정적 태도를 유발하는데 있어 효과적인 수단이 될 수 있는가에 대하여 탐구했다. 본 연구의 목적은 첫째, 기존연구에서 일관되게 지적해온 메시지 강도(message strength)의 효과 측면에서 공익연계마케팅 광고의 메시지 강도에 따라 소비자의 기업태도가 결정된다는 점을 보이고 둘째, 그 효과는 소비자의 냉소적 성향에 의해 조절된다는 점을 보인 후 셋째, 냉소적 성향이 강한 소비자들에게 있어서도 상황적 조건에 따라 메시지 강도의 효과가 발휘될 수 있다는 점을 밝히는데 있다. 본 연구에서는 소비자의 냉소주의는 기업의 마케팅 활동에 대한 부정적 신념으로서, 마케팅 자극에 대한 소비자 반응에 영향을 미치는 소비자 단순이론(naive theory)과 유사하다는 시각을 갖고 있다. 이 시각에 바탕을 두고, 냉소적 성향이 강한 소비자에게 있어 공익연계마케팅 광고의 효과는 곧, 냉소주의를 반영하고 있는 단순이론의 심리적 활성화 여부에 의해 결정될 수 있다는 점을 주장했다. 즉, 냉소적 성향이 강한 소비자의 경우에는 공익연계마케팅 광고에 포함된 메시지 강도(강한 메시지 vs. 약한 메시지)에 따른 차별적 효과가 나타나지 않지만, 광고정보의 처리과정에서 냉소주의 측면의 단순이론을 인출하고 활성화시키는데 필요한 인지적 자원이 부족한 상황에서는 메시지 강도의 효과가 나타날 수 있다는 점을 주장하고 다음과 같은 가설을 설정했다. 가설 1: 공익연계마케팅 광고가 약한 메시지를 포함하는 경우보다는 강한 메시지를 포함하는 경우, 해당 기업에 대해 더 긍정적인 태도가 형성될 것이다. 가설 2: 공익연계마케팅 광고의 강한 메시지(vs. 약한 메시지)가 해당 기업에 대한 긍정적 태도 형성에 미치는 효과는 소비자의 냉소적 성향이 강할수록 약화될 것이다. 가설3-a: 냉소주의 성향이 강한 소비자의 경우, 인지적 자원이 풍부한 상황에 비해 부족한 상황에서 공익연계마케팅 광고가 (약한 메시지에 비해) 강한 메시지를 포함할 때 해당 기업에 대해 더 긍정적인 태도를 형성할 것이다. 가설3-b: 냉소주의 성향이 약한 소비자의 경우, 공익연계마케팅 광고에 포함된 메시지의 강도가 해당 기업에 대한 태도에 미치는 효과는 소비자의 인지적 자원에 의해 영향을 받지 않을 것이다. 가설검증을 위해 서울 소재 사립대학교에 재학중인 260명을 대상으로 실험을 수행했다. 실험에서는 가상 기업의 공익연계마케팅 광고를 제작한 후, 광고에 대한 반응을 해당 기업에 대한 태도 측면에서 측정했다. 실험에서는 메시지의 강도(강한 메시지 vs. 약한 메시지)와 인지적 자원(고 vs. 저)을 조작했으며, 냉소적 성향은 설문응답을 통해 측정한 값(self-reported measure)을 사용했다. 그 결과, 강한 메시지를 포함한 광고가 제시된 집단의 기업태도가 약한 메시지를 포함한 광고가 제시된 집단의 기업태도보다 높은 것으로 나타나 가설 1은 지지되었다. 기업태도를 종속변수로 삼는 회귀분석을 수행한 결과, 메시지 강도와 냉소적 성향간 상호작용효과가 통계적으로 유의한 것으로 나타났으며 특히, 냉소적 성향이 약한 경우에는 메시지 강도가 기업태도에 긍정적인 영향을 미친 반면에 냉소적 성향이 강한 경우에는 메시지 강도의 효과가 통계적으로 유의하지 않은 것으로 나타나 가설 2는 지지되었다. 기업태도를 종속변수로 삼은 회귀분석에서 메시지 강도, 인지적 자원, 그리고 냉소적 성향간 삼원 상호작용효과가 통계적으로 유의한 것으로 나타났다. 추가적인 분석을 수행한 결과, 냉소적 성향이 강한 경우에는 메시지 강도와 인지적 자원간 상호작용효과가 통계적으로 유의했는데 인지적 자원이 풍부한 상황에 비해 부족한 상황에서 메시지 강도는 기업태도에 긍정적인 영향을 미치는 것으로 나타나 가설 3-a은 지지되었다. 반면, 냉소적 성향이 약한 경우에는 메시지 강도와 인지적 자원간 상호작용효과는 유의하지 않은 것으로 나타나 가설 3-b는 지지되었다. The present study explores whether cause-related-marketing ad, which refers to the advertising that introduces firm`s cause-related marketing activities, is an effective communication tool to enhance firm attitudes for consumers who are cynical to firms` marketing activities in general. Specifically, the present study aims to replicate the effect of message strength on the positive response to the advertised firm in the context of cause-related-marketing ad, to show that the message-strength effect is moderated by consumer cynicism in the manner that it is less evident for those with high levels of cynicism, and to reveal that the message-strength effect is also found for cynical consumers who lack cognitive resources. Based on the view that consumer cynicism reflects disbelief in the marketing activity and plays a role as a naive theory in responding to the marketing stimulus, the present study argues that, for consumers who have high levels of cynicism, the effect of cause-related marketing ad on firm attitudes is determined by the activation of the naive theory. Specifically, it is argued that the cause-related-marketing ad that includes strong message versus weak message fails to produce more positive firm attitudes for those with high levels of cynicism, but that the message strength effect is found when cynical consumers lack cognitive resources that are needed for retrieving and activating the naive theory in terms of disbelief in the marketing activity. In line with the argument, the following hypotheses are developed. H1: Cause-related-marketing ad that includes strong (vs. weak) message will produce more positive firm attitudes. H2: The positive effect of strong (vs. weak) message on firm attitudes is more likely to be diluted for those with higher levels of cynicism. H3a: For those with high levels of cynicism, cause-related-marketing ad that includes a strong (vs. weak) message will produce more positive firm attitudes when they have low (vs. high) amounts of cognitive resource. H3b: For those with low levels of cynicism, the message effect on firm attitudes is not influenced by the amount of cognitive resource. An experiment was conducted for 260 college students who were enrolled in a major private university in Seoul. Two types of cause related marketing ads for a fictitious company were created as stimulus ads such as the one including a strong message and the other one including a weak message. The participants` responses to the stimulus ad were measured in terms of firm attitudes. In the experiment, message strength (strong vs. weak message) and amount of cognitive resource (high vs. low) were manipulated, and cynicism was measured by a traditional pape -and-pencil method. The results showed that the ad including a strong message resulted in more positive firm attitudes than did the ad including a weak message, supporting H1. When a regression analysis was run on firm attitudes, the interaction effect between message strength and cynicism was statistically significant: message strength effect was significant only for those with low levels of cynicism, but not for those with low levels of cynicism, supporting H2. A separate regression analysis showed that the three-way interaction effect of message strength, cognitive resource, and cynicism on firm attitudes was statistically significant. It was found that, for those with high levels of cynicism, the interaction effect between message strength and cognitive resource on firm attitudes was significant in the manner that message strength had a positive influence on firm attitudes when the participants had low (vs. high) amounts of cognitive resource. Thus, H3a was supported. On the other hand, for those with low levels of cynicism, the interaction effect between message strength and cognitive resource was not statistically significant, supporting H3b.

Preoperative Prealbumin Level as an Independent Predictor of Long-Term Prognosis after Curative Liver Resection of Hepatocellular Carcinoma (a Multicenter Study of 1,483 Patients)

( Ju-dong Li ),( Xin-fei Xu ),( Jiong-jie Yu ),( Jia-he Wang ),( Li- Yang Sun ),( Wen-tao Yan ),( Bing Quan ),( Jian-hong Zhong ),( Yi-sheng Huang ),( Ya-hao Zhou ),( Ting-hao Chen ),( Hong Wang ),( W 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1

Aims: Serum prealbumin is more sensitive to profile nutritional status and liver function than albumin, which could hardly be affected by infusion supplement. This study aims: to identify the relationship between preoperative prealbumin level and the long-term prognosis after curative resection of hepatocellular carcinoma (HCC). Methods: Patients undergone HCC curative resection between 2001 and 2014 at six institutions in China were enrolled. By using 170 mg/dl as cut-off value of serum prealbumin level, these patients were divided into the low and normal preoperative prealbumin groups. The overall survival (OS) and recurrence-free survival (RFS) were analyzed and compared. Univariable and multivariable Cox-regression analyses were performed to identify predictive factors of OS and RFS. Results: Among 1,483 patients, 437 (29.5%) had a low prealbumin level within a week before surgery. The 1-, 3-, and 5-year OS and RFS rates of patients in the low prealbumin group were 83.8, 57.0, and 31.1%, and 67.0, 39.8, and19.9%, respectively, which was significantly poorer than those in the normal group (93.0, 75.5, and 42.6%, and 77.0, 56.4, and 28.4%, both P<0.001). Multivariable analyses revealed that preoperative prealbumin level, but not albumin level, was an independent predictor of OS (HR, 1.789; 95% CI: 1.544 -2.072, P<0.001) and RFS (HR, 1.420; 95% CI: 232-1.636, P<0.001). Conclusions: Preoperative prealbumin level is useful for predicting long-term prognosis in patients undergoing liver resection for HCC. Prealbumin may be suitable to displace albumin, yielding to an updated Child-Pugh grade for accessing liver function.

Android malicious code Classification using Deep Belief Network

( Luo Shiqi ),( Tian Shengwei ),( Yu Long ),( Yu Jiong ),( Sun Hua ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.1

This paper presents a novel Android malware classification model planned to classify and categorize Android malicious code at Drebin dataset. The amount of malicious mobile application targeting Android based smartphones has increased rapidly. In this paper, Restricted Boltzmann Machine and Deep Belief Network are used to classify malware into families of Android application. A texture-fingerprint based approach is proposed to extract or detect the feature of malware content. A malware has a unique "image texture" in feature spatial relations. The method uses information on texture image extracted from malicious or benign code, which are mapped to uncompressed gray-scale according to the texture image-based approach. By studying and extracting the implicit features of the API call from a large number of training samples, we get the original dynamic activity features sets. In order to improve the accuracy of classification algorithm on the features selection, on the basis of which, it combines the implicit features of the texture image and API call in malicious code, to train Restricted Boltzmann Machine and Back Propagation. In an evaluation with different malware and benign samples, the experimental results suggest that the usability of this method---using Deep Belief Network to classify Android malware by their texture images and API calls, it detects more than 94% of the malware with few false alarms. Which is higher than shallow machine learning algorithm clearly.

웹 사용 정보 마이닝 기반의 동적 사용자 프로파일 생성

안계순,고세진,정준,이필규,An, Kye-Sun,Go, Se-Jin,Jiong, Jun,Rhee, Phill-Kyu 한국정보처리학회 2002 정보처리학회논문지B Vol.9 No.4

동적 웹 컨텐츠 제공에서 고객을 위한 추천서비스에 이르는 인터넷 기반의 전자상거래 애플리케이션에서는 고객이 어떤 성향을 가지고 있는가에 대한 정보를 획득하는 것이 중요하다. 웹 개인화의 대표적인 기술인 협력적 석과는 사용자의 정보를 정적인 프로파일 형태로 저장하여 사용자의 성향 변화를 빨리 획득할 수 없다. 또한 사용자의 명시적 평가 의존성, 확장성 부족, 다차원 공간 데이터에 대한 적용 어려움 둥의 문제점을 가지고 있다. 이와 같은 단점을 해결하기 위한 해결 방안으로 웹 사용 정보 마이닝(web usage mining)이 쓰이고 있다. 웹 사용 정보 마이닝은 서버에 축적된 웹 사용 데이터(web usage data)를 이용하여 패턴을 발견하는 기술이다. 특히 연관 규칙 생성 알고리즘으로 웹 사용 패턴(web usage pattern)을 찾고 패턴을 클러스터링하는 기술이 사용되고 있다. 그러나 연관 규칙 생성 알고리즘은 많은 수의 패턴들을 찾고 또 유용하지 못한 패턴을 발견하는 단점이 있다. 본 논문에서는 검증된 웹 사용 패턴을 이용한 동적 사용자 프로파일 생성 방법을 제안한다. 먼저 패턴 발견을 위해 연관 규칙 생성 알고리즘인 Apriori를 이용하고 사용자 프로파일을 위한 클러스터를 생성하기 위해 ARHP를 채택하였다. 클러스터를 생성하기 전에 Dempster-Shafer 이론을 이용하여 유용하지 못한 패턴을 제거하는 패턴 검증 과정을 수행한다. 검증된 패턴을 이용하여 클러스터를 생성하고 사용자의 현재 활성화된 세션에 따라 동적으로 사용자 프로파일이 생성된다 It is important that acquire information about if customer has some habit in electronic commerce application of internet base that led in recommendation service for customer in dynamic web contents supply. Collaborative filtering that has been used as a standard approach to Web personalization can not get rapidly user's preference change due to static user profiles and has shortcomings such as reliance on user ratings, lack of scalability, and poor performance in the high-dimensional data. In order to overcome this drawbacks, Web usage mining has been prevalent. Web usage mining is a technique that discovers patterns from We usage data logged to server. Specially. a technique that discovers Web usage patterns and clusters patterns is used. However, the discovery of patterns using Afriori algorithm creates many useless patterns. In this paper, the enhanced method for the construction of dynamic user profiles using validated Web usage patterns is proposed. First, to discover patterns Apriori is used and in order to create clusters for user profiles, ARHP algorithm is chosen. Before creating clusters using discovered patterns, validation that removes useless patterns by Dempster-Shafer theory is performed. And user profiles are created dynamically based on current user sessions for Web personalization.

Supervisory Optimization of the MGT-CCHP System Using Model Predictive Control

Yi Zhang,Fan Zhang,Xiao Wu,Junli Zhang,Li Sun,Jiong Shen 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

This paper proposes a supervisory optimal control structure for the micro-gas-turbine based combined cooling heating and power (MGT-CCHP) system. In the upper layer of the structure, a dynamic optimal reference governor is developed to calculate the optimal operating points according to the given economic performance indexes, and in the lower layer of the structure, model predictive control is utilized to track the given operating points, so that a dynamic optimality can be achieved under the input-output constraints during the optimization. Moreover, a disturbance term is introduced in the model to lump the effect of unmeasured disturbances and plant behavior variations, thus, their influences on the supervisory optimization can be removed. The advantages and effectiveness of the proposed method are demonstrated through the simulations on an 80kW MGT-CCHP simulator.

A Special Partial Least Squares (PLS) Path Decision Modeling for Bid Evaluation of Large Construction Projects

Bingsheng Liu,Tengfei Huo,Pin-Chao Liao,Jingfeng Yuan,Jiong Sun,Xuan Hu 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.3

Large construction projects involve massive capital investments, lengthy execution period, and enormous management uncertainties. Therefore, the task of selecting a capable contractor for smooth project delivery is challenging. Although previous studies have attempted to improve the methods of bidding evaluation, limitations still exist. First, the evaluation results might be biased due to the heterogeneity in a small group of experts with different professional experience and capabilities. Second, multi-correlation can reduce the validity of the weightings of the indexes and evaluation results. Third, the subjectivity of the weightings can be a crucial hurdle to the selection of a suitable contractor for a specific project. To overcome these shortcomings, this study introduces Partial Least Squares (PLS) path modeling and develops a Sequence-Multi-Criteria System which can aggregate the evaluation results from different professional practitioners without the use of pre-defined weighting schemes, thus providing a reliable reference for bid evaluation. We incorporated this approach into an evaluation procedure stipulated in the procurement documents of the World Bank and specifically aimed at selecting suitable contractors for large construction projects. A case study was conducted via comparisons across various scenarios, and the validity of this approach was subsequently proved.