• 한국의류학회지
• /
• 제17권4호
• /
• pp.550-564
• /
• 1993

The purpose of this study is to investigate the consumer's claims related to clothing merchandise. By th origination stage of claims, details of claims, and treatments of claims purchasing places of clothing merchandise, the consumer's claims are analyzed which were lodged to in consumer's complaint center, Seoul YWCA, in 1981-1990. To analyze these data statistically, frequency and percentile are used. The results of analysis for consumer's claims are as next : 1. Concerning the sex distinction, female complainers are more than male complainers. About the age bracket, twenties and thirties are the most numerous. The originations of claims being various. It is laundry and dry cleaning stage out of them that rank first, and total numbers of claims for clothing products continually have increased during 1981-1990. Out of the clothing items, outerwears are of the first rank and formal wear and coat are highest in rank of outerwears. For claims about purchasing places, agency ranked first and market, department store, custome-made and discount store came after in order. 2. Concerning the contents, quality of clothing product ranks first, inferior service, price, contrast, unfair transaction ranks in order. There are claims about quality of clothing product that color change ranks first and damage and form change rank in order. 3. The treatments of claims are that counsel, exchange, refund, repair and correction rank in order.

• 보건의료산업학회지
• /
• 제8권3호
• /
• pp.75-87
• /
• 2014

The purpose of this study was to identify job satisfaction and organizational commitment depends on their organizational cultures. A survey, including the Organizational Culture Scale, Job Satisfaction Scale and Organizational Commitment Scale, was administered to 276 nurses working at 4 small to medium sized hospitals in B city. The dominant organizational culture of nursing organization was relation-oriented culture. The mean score of job satisfaction and organizational commitment was 2.68 and 4.25 respectively. Job satisfaction and organizational commitment were positively correlated with innovation-oriented, task-oriented and relation-oriented culture. Organizational commitment was negatively correlated with rank-oriented culture. Innovation-oriented, clinical career, relation-oriented and rank-oriented culture were variables influencing on job satisfaction and innovation-oriented and rank-oriented culture were major variables influencing organizational commitment. In conclusion, innovation-oriented and rank-oriented culture had a significant influence on nurses' job satisfaction and organizational commitment. Therefore, we have to develop strategies to enhancing the innovation-oriented culture and to reducing the rank-oriented culture.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권9호
• /
• pp.4510-4526
• /
• 2017

Most available methods of facial gender recognition work well under a constrained situation, but the performances of these methods have decreased significantly when they are implemented under unconstrained environments. In this paper, a method via low-rank and collaborative representation is proposed for facial gender recognition in the wild. Firstly, the low-rank decomposition is applied to the face image to minimize the negative effect caused by various corruptions and dynamical illuminations in an unconstrained environment. And, we employ the collaborative representation to be as the classifier, which using the much weaker $l_2-norm$ sparsity constraint to achieve similar classification results but with significantly lower complexity. The proposed method combines the low-rank and collaborative representation to an organic whole to solve the task of facial gender recognition under unconstrained environments. Extensive experiments on three benchmarks including AR, CAS-PERL and YouTube are conducted to show the effectiveness of the proposed method. Compared with several state-of-the-art algorithms, our method has overwhelming superiority in the aspects of accuracy and robustness.

• 한국의류학회지
• /
• 제33권10호
• /
• pp.1552-1563
• /
• 2009

This paper investigates the color rank system of the Wonsam, ceremonial topcoat, worn as a court formal costume of the Joseon dynasty by analyzing the court costume system and the actual examples of wearing. The research shows that there were some discrepancies of the color rank of the Wonsam between the court costume system and the actual wearing examples. There were red, purple, blue, green, and black Wonsam in the Joseon dynasty. The color rank of the Wonsam is as follows: the Queen's color was red, the Crown Princess's was green and purple, the royal concubine's was usually green and blue, but they could wear purple when they won the King's favor. A prince's wife's was usually green, but she wore blue and purple if she became the mother of the King. The princess's was green, and the court lady's was green, blue, and black. In most cases, the textiles of Wonsam were made by silk with patterns, even though Joseon dynasty was ordered to use silks without patterns in court weddings and funeral ceremonies to avoid extravagance.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권12호
• /
• pp.4604-4623
• /
• 2014

Authentication mechanisms coupled with strong encryption techniques are used for network security purposes; however, given sufficient time, well-equipped intruders are successful for compromising system security. The authentication protocols often fail when they are analysed critically. Formal approaches have emerged to analyse protocol failures. In this study, Communicating Sequential Processes (CSP) which is an abstract language designed especially for the description of communication patterns is employed. Rank functions are also used for verification and analysis which are helpful to establish that some critical information is not available to the intruder. In order to establish this, by assigning a value or rank to each critical information, it is shown that all the critical information that can be generated within the network have a particular characterizing property. This paper presents an application of rank functions approach to an authentication protocol that combines delaying the decryption process with timed authentication while keys are dynamically renewed under pseudo-secure situations. The analysis and verification of authentication properties and results are presented and discussed.

• 한국응용약물학회:학술대회논문집
• /
• 한국응용약물학회 2001년도 춘계학술대회
• /
• pp.103-112
• /
• 2001

Bone homeostasis is maintained by a balance between activities of osteoblasts(bone forming cells) and osteoclasts (bone resorbing cells). The activities of these cells are closely regulated by multiple factors including hormones and cytokines. The cessation of estrogen at menopause disrupts the balanced regulation and is the main cause of osteoporosis in postmenopausal women. Recent molecular biological studies led to a discovery of tumor necrosis factor(TNF) and TNF receptor families genes that play critical roles in the regulation of osteoclast formation and function. RANKL (receptor activator of nuclear factor kappa B ligand; also called ODF, TRANCE, and OPGL) expressed on cells supporting osteoclast is essential for osteoclast differentiation, activation, and survival. RANK, the counter-receptor for RANKL, is expressed on progenitor and mature osteoclasts. The interaction between RANKL and RANK is requlated by a soluble decoy receptor OPG (osteoprotegerin). Gene knock out studies of these molecules showed profound effects on bone. These results prompted development of new strategies for treatment of bone diseases. Inhibition of osteoclast activity by blocking the RANKL-RANK interaction using OPG is being attempted. Research on the signaling pathways of RANK is also actively carried out. Screening natural products that inhibit the RANKL-RANK interaction or the activity of obteoclasts would be another effective means to a new drug target for bone resorbing diseases.

• ETRI Journal
• /
• 제41권2호
• /
• pp.235-241
• /
• 2019

In this paper, we propose a rank-weighted reconstruction feature to improve the robustness of a feed-forward deep neural network (FFDNN)-based acoustic model. In the FFDNN-based acoustic model, an input feature is constructed by vectorizing a submatrix that is created by slicing the feature vectors of frames within a context window. In this type of feature construction, the appropriate context window size is important because it determines the amount of trivial or discriminative information, such as redundancy, or temporal context of the input features. However, we ascertained whether a single parameter is sufficiently able to control the quantity of information. Therefore, we investigated the input feature construction from the perspectives of rank and nullity, and proposed a rank-weighted reconstruction feature herein, that allows for the retention of speech information components and the reduction in trivial components. The proposed method was evaluated in the TIMIT phone recognition and Wall Street Journal (WSJ) domains. The proposed method reduced the phone error rate of the TIMIT domain from 18.4% to 18.0%, and the word error rate of the WSJ domain from 4.70% to 4.43%.

• 한국통신학회논문지
• /
• 제27권6A호
• /
• pp.517-523
• /
• 2002

이 논문에서는 국소 최적 순위 검파기의 점수 함수의 합과 가중합의 완전한 골을 유도하였다. 순위통계량과 부호통계량에 바탕을 둔 검파기의 점근 성능 특성은 점수 함수의 합과 가 중합으로부터 얻어지기 때문에, 합과 가중합은 매우 중요하나, 이들을 구하기 위해서는 상당한 수학적 조작이 필요하다. 이 논문에서 다루어진 점수 함수는 순위통계량에 바탕을 둔 것들 뿐 아니라 절대값 순위통계량과 부호통계량에 바탕을 둔 것들을 포함한다. 따라서, 이 논문의 결과를 써서 여러 가지 잡음 모형에서 쓸모 있는 검 파기들의 점근 성능을 쉽게 구할 수 있다.

• 재활간호학회지
• /
• 제4권1호
• /
• pp.94-104
• /
• 2001

The purpose of this study was to analysis of nursing interventions performed by the ICU nurses to the patients with cerebrovascular disorder practically from one university hospital in Seoul. The data were collected from 15 nurses with 86 cerebrovascular disorder cases from one ICU with the questionaire to write frequency of nursing care done by the surveyee from May, 2, 2000 to July, 3, 2000 and the list of 66 nursing interventions selected out of 433 NIC(Nursing Interventions Classification) of Iowa University which were translated into Korean (44 items) and core nursing interventions by ICU nurses (22 items; KIm, Su-Jin, 1997). The data were analysed with SPSS program. The results are as follow : 1. The most frequently used nursing interventions were vital sign monitoring, fall prevention, cerebral edema management, dysreflexia management, neurologic monitoring, cardiac care, communication enhancement, technology management, bed rest care, respiratory monitoring in rank. 2. The most frequently used nursing intervention domains were 'Physiological : Complex', 'Physiological : basic', 'Behavior', 'Safty', 'Health system' in rank. In the domain of physiological : basic, the most frequently used nursing interventions were bed rest care, urinary elimination management, tube care : urinary, physical restraints in rank. In the domain of physiological : complex, the most frequently used nursing interventions were cerebral edema management, dysreflexia management, neurologic monitoring, cardiac care in rank. In the domain of behavior, the most frequently used nursing interventions were communication enhancement, touch, active listening in rank. In the domain of safty, the most frequently used nursing interventions were vital sign monitoring, fall prevention in rank. In the domain of health system, the most frequently used nursing interventions were technology management, specimen management in rank. 3. some difference of the frequency practicing the nursing interventions according to the shift of duties was found. For example, medication administration was common at day duty, touch was practiced at evening duty, temperature regulation was performed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권1호
• /
• pp.109-134
• /
• 2018

Collaborative Filtering (CF) is widely used in recommendation field, which can be divided into rating-based CF and learning-to-rank based CF. Although many methods have been proposed based on these two kinds of CF, there still be room for improvement. Firstly, the data sparsity problem still remains a big challenge for CF algorithms. Secondly, the malicious rating given by some illegal users may affect the recommendation accuracy. Existing CF algorithms seldom took both of the two observations into consideration. In this paper, we propose a recommendation method based on listwise learning-to-rank by incorporating users' social information. By taking both ratings and order of items into consideration, the Plackett-Luce model is presented to find more accurate similar users. In order to alleviate the data sparsity problem, the improved matrix factorization model by integrating the influence of similar users is proposed to predict the rating. On the basis of exploring the trust relationship between users according to their social information, a listwise learning-to-rank algorithm is proposed to learn an optimal ranking model, which can output the recommendation list more consistent with the user preference. Comprehensive experiments conducted on two public real-world datasets show that our approach not only achieves high recommendation accuracy in relatively short runtime, but also is able to reduce the impact of malicious ratings.