• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.6097-6120
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• 2019

Online consumer reviews (OCRs) provide product information and recommendations especially pictures in reviews depict the true information about the product. This study investigates the influence of pictured reviews on online seller (for a particular product of a seller) rating with moderating effect of price, brand type (foreign vs local), goods type (experience vs search), and brand familiarity. Multiple robust linear regression analysis with moderation interaction and quadratic effect used to explain the relationship of the explanatory variables with the criterion variable. We collected cross-sectional data from the two most renowned Chinese online shopping platforms (B2C) of total 15,621 product links. Results show that higher number of reviews with a low ratio of picture reviews response negative effect on rating, whereas the lower number of reviews with a high ratio of picture reviews response positive effect on the rating. In overall picture in the reviews improve the online seller product rating. For the moderation effect, results show that price and brand familiarity have a positive interaction effect on the relation of pictured reviews and rating whereas experience goods have less negative effect comparing search goods. Finally, local brand has less negative interaction effect comparing foreign brand to pictured reviews and rating.

• 산경연구논집
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• 제7권2호
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• pp.13-20
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• 2016

Purpose - The purpose of this research is to discover whether the presence of the product average rating introduces biases or change the way people perceive information. We posit that review's overall rating has a predisposition effect on consumers' perception towards detailed review information. Research design, data, and methodology - To test these hypotheses, we conducted an empirical study on a real-world setting of online shopping platform. We choose the Amazon website to test our results. The data we use were collected by the Stanford Network Analysis Project1 (McAuley et al., 2013). Results - With a dataset containing reviews of seven product categories from amazon.com., our findings could possess more generalizability as they are produced on the typical and influential online market. Second, as our research provides alternative views of consumers' shopping behavior, it is better to test our hypotheses by data from the same source. Conclusions - Our study reveals the impact of the collective rating presence on consumers' diagnosticity perception and sheds light upon some of the conflictive results in prior studies. Our research generates implications to both theories and business practices, and suggests future directions for the research question.

• 한국초등수학교육학회지
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• 제18권1호
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• pp.19-35
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• 2014

본 연구는 수학 교과서에서 스토리텔링의 효과를 알아보기 위해, 초등학교 3~4학년 군 수학 교과서를 실험하고 있는 실험학교 중에서 3개교를 택하여 교사와 학생을 대상으로 설문지 조사를 하였다. 조사 결과, 교사들은 교과서의 스토리텔링에 대하여 전반적으로 긍정적인 인식을 하고 있었다. 특히 스토리텔링이 학습 동기유발이나 의사소통과 수학내용의 학습지도에 상당히 도움이 된다고 하였다. 또 학생들도 수학 교과서의 스토리텔링에 대하여 전반적으로 긍정적인 반응을 보였고, 특히 3학년 학생들이 4학년보다 더 긍정적이었다. 구체적으로 수업에서 스토리텔링은 재미있다, 학원공부와 다르다는 내용에 상당히 긍정적이었다. 그러나 하위수준의 학생들은 변화가 없어 스토리텔링의 도입의 의도와 차이가 있어 이에 대한 대책이 필요해 보였다.

• 말소리와 음성과학
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• 제2권2호
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• pp.109-115
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• 2010

In this paper, we investigate a signal typing on the basis of visual impression of distinctive spectrogram. Pathological voices are classified into signal type 1, 2, 3, or 4 to estimate perturbation parameters and to mark perceptual rating based on Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V). The results suggest that perturbation analysis can be applied to only type 1 and 2 signals and the perceptual ratings of overall grade increase with each signal type, overall. A good inter-rater reliability is showed among three raters. We recommend that pathological voices should be marked the signal typing and CAPE-V, together, to definitely describe the characteristics of pathological voices.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.707-720
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• 2021

To improve the accuracy of the recommendation system, multi-criteria recommendation systems have been widely researched. However, it is highly complicated to extract the preferred features of users and items from the data. To this end, subjective indicators, which indicate a user's priorities for personalized recommendations, should be derived. In this study, we propose a method for generating recommendation candidates by predicting multi-criteria ratings from reviews and using them to derive user priorities. Using a deep learning model based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), multi-criteria prediction ratings were derived from reviews. These ratings were then aggregated to form a linear regression model to predict the overall rating. This model not only predicts the overall rating but also uses the training weights from the layers of the model as the user's priority. Based on this, a new score matrix for recommendation is derived by calculating the similarity between the user and the item according to the criteria, and an item suitable for the user is proposed. The experiment was conducted by collecting the actual "TripAdvisor" dataset. For performance evaluation, the proposed method was compared with a general recommendation system based on singular value decomposition. The results of the experiments demonstrate the high performance of the proposed method.

• 대한한의학회지
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• 제40권1호
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• pp.114-123
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• 2019

Objectives: The purpose of this study was to report the result and the satisfaction of Korean medicine treatment for patients with dysmenorrhea who participated in support program of Jeollabuk-do. Methods: The subjects of this study were 33 volunteers, suffering from primary dysmenorrhea. As the 'Dysmenorrhea Treatment Project', we conducted a dysmenorrhea program at 22 Korean medicine clinic and 1 Korean medicine hospital in Jeollabuk-do. From May to December 2018, we conducted the program and assessed the effect and satisfaction twice after first two menstrual cycles after Korean medicine treatment through questionnaire. They were treated by Korean medicine treatment such as herbal medicine, acupuncture, moxibustion, heat therapy, physical therapy and others in 2017. The results were measured by the visual analogue scale (VAS) and multidimensional verbal rating scale (MVRS) of overall pain. The disturbance in school activity for menstrual period and satisfaction of Korean medicine treatment were investigated by continuous rating scales. Results: The VAS score of overall pain was decreased significantly. Also the amount of the analgesic taken for menstrual period and the degree of disturbance in school activity were decreased significantly. Besides, the satisfaction of Korean medicine treatment was increased. Conclusions: This study might suggest that the Korean medicine treatment on dysmenorrhea is effective.

• 대한한의학회지
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• 제45권1호
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• pp.215-224
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• 2024

Objectives: This study aims to report a case of chronic nummular dermatitis improved by Hwangryunagyo-tang. Methods: The patient in this study was a 15-year-old female, who visited our hospital with symptoms such as redness, erythema, papule, excoriation, scale, exudation, crusting, lichenification, and pruritus of the extremities and trunk. Considering that the skin lesions were coin-shaped and persisted for more than 6 months, the patient's symptoms were diagnosed as chronic nummular eczema. Based on the patient's symptoms and overall condition, Hwangryunagyo-tang was prescribed. Results: Approximately 4 months after administration of Hwangryunagyo-tang, the exudate disappeared, and overall skin symptoms improved, from objective score 33.7 to 6.6, leaving only slight scale, dryness, and pigmentation. As the pruritus of the skin lesion decreased from numeric rating scale 8 to 1, the patient's sleeping condition also improved from numeric rating scale 9 to 0. Conclusion: This study is significant in that the symptoms of chronic nummular dermatitis were effectively improved after administration of Hwangryunagyo-tang.

• 정신신체의학
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• 제4권2호
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• pp.198-206
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• 1996

To assess premenstrual changes in adolescents, a self rating retrospective premenstrual assessment from(PAF) and a prospective daily rating form(DRF) were administered to 230 high school students who reported premenstrual changes. The results were as follows 1) According to typological categories of retrospective premenstrual assessment form, the most commonly reported changes in mood and behavior were major depressive syndrome(40.0%), impulsive syndrome(20.9%). Especially among the subtype of depressive syndrome, hostility feature and withdrawal feature were most frequent. The most commonly reported changes in physical condition were general discomfort(73.5%), fatigue(33.9%). 50.9% of all subjects reported impaired social function. 2) 41.2% of the subjects who met the criteria for typological categories of retrospective premenstrual assessment form were confirmed by prospective daily rating form. 3) According to different criteria of percent change method of assessing symptom change, 38.7% of all subjects had at least one mild premenstrual change and 23.5% had at least one moderate premenstrual change. 4) Using prospective daily rating form, overall psychological changes were confirmed more frequently than physical changes. Of the mild premenstrual changes, 'low energy, tired & weak', 'less or impaired work' were most common changes. Of the moderate premenstrual changes, the most common change was 'low energy, tired & weak'. 5) As attitude toward menstruation, 44.9% of the subjects with confirmed premenstrual changes had more negative attitude(disgusted) toward menstruation. 6) The subjects with confirmed mild or moderate premenstrual changes had only dysphoric mood changes or both physical and dysphoric mood changes, but did not have only physical changes. These results suggest that retrospective reports of premenstrual changes were partially confirmed by daily prospective ratings. A substantial number of adolescents appeared to experience premenstrual changes, and the most common confimed premenstrual change of mild or moderate severity was 'low energy, tired and weak'.

• 한국BIM학회 논문집
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• 제6권2호
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• pp.29-38
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• 2016

Road bridges are deteriorating gradually, and it is forecasted that the number of road bridges aging over 30 years will increase by more than 3 times of the current number. To maintain road bridges in a safe condition, current safety conditions of the bridges must be estimated for repair or reinforcement. However, budget and professional manpower required to perform in-depth inspections of road bridges are limited. This study proposes an estimation model for safety rating of road bridges by analyzing the data from Facility Management System (FMS) and Yearbook of Road Bridges and Tunnel. These data include basic specifications, year of completion, traffic, safety rating, and others. The distribution of safety rating was imbalanced, indicating 91% of road bridges have safety ratings of A or B. To improve classification performance, five safety ratings were integrated into two classes of G (good, A and B) and P (poor ratings under C). This rearrangement was set because facilities with ratings under C are required to be repaired or reinforced to recover their original functionality. 70% of the original data were used as training data, while the other 30% were used for validation. Data of class P in the training data were oversampled by 3 times, and Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was used to develop the estimation model. The results of estimation model showed overall accuracy of 84.8%, true positive rate of 67.3%, and 29 classification rule. Year of completion was identified as the most critical factor on affecting lower safety ratings of bridges.

• 한국재난정보학회 논문집
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• 제13권3호
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• pp.296-304
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• 2017

본 연구에서는 산불발생 시 화염행동을 예측하기 위하여 강원도 삼척시를 대상으로 산림가연물의 연소특성 DB를 구축하고, 연소특성 DB로부터 GIS를 이용하여 산불위험지도 및 위험도등급화 지도를 작성하였다. 맵핑을 위한 표준화 대상변수로는 자연발화온도, 착화시간, 화염지속시간, 총열방출량, 총연기방출량을 사용하였다. 또한, 총괄위험도 등급화는 착화위험변수(자연발화온도, 착화시간)와 확산위험변수(총열방출량, 화염지속기간, 총연기방출량)를 이용하였다. 연구결과, 강원도 삼척시의 산불위험도등급은 1~5등급(5단계)으로 등급화하였으며, 1등급에 가까울수록 산불위험성이 높은 구역으로 구분하였다. 삼척시의 착화위험등급은 1등급과 5등급으로 구분되어 2단계로 나타났다. 또한, 확산위험등급은 1등급, 2등급, 4등급, 5등급으로 구분되어 4단계로 나타났다. 총괄위험등급은 1등급, 2등급, 3등급으로 구분되어 3단계로 나타났으며, 산불위험등급이 가장 높은 1등급의 구역은 산불발생위험등급과 산불확산위험등급의 영향을 받는 것으로 나타났다. 1등급에 해당하는 구역은 삼척시의 우발리와 미로면 지역으로 나타났다. 이 지역은 산불발생 시 발열량이 높게 나타나는 소나무와 참나무 군락지로 산불발생 시 화재하중이 크게 작용하여 산불확산이 빠르게 진행될 것으로 사료된다.