• International journal of advanced smart convergence
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• 제11권2호
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• pp.128-134
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• 2022

Nowadays, people consume a lot of content such as web dramas or K-pop videos through mobile devices such as smartphones, and the market for indirect advertisements through these web dramas or K-pop videos is also increasing every year. In order to lead to the immediate purchase of indirect products in web dramas, a system that allows consumers to purchase immediately at the time the products appear in the drama is needed. In this paper, we propose a system to allow viewers to purchase products worn by celebrities immediately when viewers see and click on them. When a user clicks on a video, it recognizes the product worn by the celebrity, and displays information on the screen on the most similar product corresponding to the recognized product, allowing them to go to the seller's site where they can purchase it. In order for such a system to operate stably, a pose estimation and siamese network-based system is proposed. The proposed system will primarily be released as a streaming service in the form of an app or web page that connects the products in web dramas or other K-pop video contents screened on the mobile with e-commerce. Furthermore, in the future, the technology is expected to be used globally in various industries such as smart mobility and display kiosks.

• 토지주택연구
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• 제10권1호
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• pp.9-18
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• 2019

This study examined the dynamic change in the co-movement between the house price rates with the network methods of Mantegna (1999). First, Capital area and non-capital area form independent clusters which have the heterogeneous co-movement pattern. In other words, Capital and non-capital areas have low connectivity in the housing market. Also, if the co-movement between capital areas have been strengthened, the co-movement between non-capital areas have been weakened. The results of the dynamic analysis show that the degree of the co-movement in the housing market is continuously increased. The members of the co-movement group in the capital area are strongly steadied by all periods. However, the members in the non-capital area have been changed according to the period. Accordingly, it is necessary to establish policies based on various information for the housing market of the non-capital area rather than policies targeting the capital area. In addition, Apartments in Korea are more likely to be used as investment or speculative assets than other types of houses. It has been confirmed that this is Gangbuk, which is locatied in the northern part of Seoul, appears to be a region where the Spillover Effects of price fluctuation can be triggered in the housing and apartment market. However, the housing market in Gangnam, which is locatied in the southern part of Seoul, was divided into low systematic risk.

• 한국식품영양학회지
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• 제25권3호
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• pp.650-655
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• 2012

This purposes of this study were to explain consumer attitudes and purchasing behaviors towards agricultural products using a social network service and to determine the influencing factors such as experience, technology ability, innovation, self-efficacy, perception of usefulness, perception of trust, attitude, purpose of purchase and individual characteristics on them. We analyzed the survey data set, using the 'logit model', 'simultaneous equation model', and 'LISREL-Type model' In this study, the results obtained are summarized as follows. The result for the comprehensive statement of "Trust" was the biggest influence on the purchase agricultural products using the social network service. Therefore, in order to expand agricultural e-commerce using SNS, trust should be to the fore of marketing and publicity campaigns, in order to promote and stabilize the market.

• 한국산업정보학회논문지
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• 제23권5호
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• pp.33-41
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• 2018

Most important thing when designing and implementing a supply chain network is to consider various problems which may occur in real world situation. In this paper, we propose a supply chain network considering two problems (environmental factor and transportation types) under real world situation. CO2 emission amount as environmental factor is considered since it is usually generated from production and transportation processes. Normal delivery, direct delivery and direct shipment as transportation types are also considered since many customers ask various transportation types for delivery or shipment of their products under on-line or off-line purchase environment. The proposed supply chain network considering environmental factor and transportation types is represented in a mathematical formulation and implemented using hybrid genetic algorithm (HGA) approach. In numerical experiments, several scales of supply chain networks are presented and implemented using HGA approach. The performance of the HGA approach is compared with those of some conventional approaches under various measures of performance. Finally, it is proved that the performance of the HGA approach is superior to those of the others.

• 한국전자거래학회지
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• 제25권4호
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• pp.33-60
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• 2020

스마트폰의 등장으로 우리는 언제 어디서나 쇼핑이 가능하고, 소셜미디어로 연결된 광범위한 인적 네트워크와 웹사이트를 통해 손쉽게 다양한 정보와 전문가들의 의견을 살펴볼 수 있게 되었다. 제한된 정보 창구로 인해 브랜드 인지도에 의존하였던 과거와는 다르게, 다양한 창구를 통해 제품과 서비스에 대한 정보를 손쉽게 얻을 수 있는 시대가 도래한 것이다. 그 결과, 디지털 시대의 소비자들은 과거와는 다르게 기업의 일방적인 의도대로 브랜드 이미지를 수용하는 것에서 벗어나, 소비자들 간의 소통을 통해 브랜드 이미지의 형성에 영향을 미칠 정도로 그 영향력이 증대되었다. 소비자들은 더 이상은 그 브랜드를 안다고 해서 혹은 그 브랜드가 유명하다고 해서 바로 구매를 하지 않는다. 따라서, 이렇게 변화한 시대에 전통적인 브랜드 측정 방법의 유효성에 대해 의문을 제시하게 되었다. 그러나 아직까지 변화한 사회환경을 반영한 측정 방법은 논의된 바가 없으며, 실무자들은 현재까지 전통적인 측정 방법을 이용해 오고 있는 것이 현실이다. 따라서 본 연구에서는 기존 브랜드의 정의와 측정방법에 대해 한번 살펴보고, 디지털 시대에 보다 적합하면서 직접적인 측정 방법을 제안하고자 한다. 본 연구에서 제안하는 측정 방법은 "친구를 보면 그 사람을 알 수 있다"는 속담처럼, 함께 구매되는 상품의 브랜드를 통해 해당 브랜드의 진정한 위치와 이미지를 파악하는 방법이다. 이를 위해 온라인 커머스 사이트인 아마존에서 함께 구매되는 화장품 데이터를 브랜드 단위의 네트워크로 구축하고, 이를 토대로 브랜드 이미지를 평가하는 방법을 제시하였다. 기존에는 소비자의 인식 혹은 인지적인 측면을 설문조사로 파악하거나 기업의 재무상태를 통해 브랜드를 측정했던 과거와는 달리, 본 연구에서 제시하는 방법은 실질적인 구매 데이터를 통해 구축된 제품의 네트워크를 분석함으로써 관련 브랜드 지표와 실질적인 구매 행동 간의 간극을 좁히고자 한 데에 의의가 있다. 또한 연결된 세상의 네트워크 관점을 바탕으로 전통적인 브랜드 개념을 보다 확장하였으며, 이를 통해 보다 현실에 적합한 측정도구를 제시하였다는 것에 의의가 있다.

• 한국전자거래학회지
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• 제2권1호
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• pp.79-94
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• 1997

Commerce activities which are free form space and time constraint using a communication network are called Electronic Commerce(EC). Because of sending a commercial information using open network such as Internet in EC, they need the security of commerce information (payment information and purchase information), checking the integrity of transferring data and certifying all parts participated in commerce for a secure commerce. Recently Visa and MasterCard Co. released the Secure Electronic Transaction (SET) Protocol for secure payment card transaction on Internet. This paper proposes a Secure Electronic Commerce Transaction Model(SECTM) using SET in order to support the secure commerce on Internet. The proposed transaction model prevents merchant from abusing the cardholder's payment information (credit-card number etc.) and enables cardholder to shop securely in Electronic Shopping Mall.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.538-561
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• 2020

Recommender Systems (RecSys) have a major role in e-commerce for recommending products, which they may like for every user and thus improve their business aspects. Although many types of RecSyss are there in the research field, the state of the art RecSys has focused on finding the user similarity based on sequence (e.g. purchase history, movie-watching history) analyzing and prediction techniques like Recurrent Neural Network in Deep learning. That is RecSys has considered as a sequence prediction problem. However, evaluation of similarities among the customers is challenging while considering temporal aspects, context and multi-component ratings of the item-records in the customer sequences. For addressing this issue, we are proposing a Deep Learning based model which learns customer similarity directly from the sequence to sequence similarity as well as item to item similarity by considering all features of the item, contexts, and rating components using Dynamic Temporal Warping(DTW) distance measure for dynamic temporal matching and 2D-GRU (Two Dimensional-Gated Recurrent Unit) architecture. This will overcome the limitation of non-linearity in the time dimension while measuring the similarity, and the find patterns more accurately and speedily from temporal and spatial contexts. Experiment on the real world movie data set LDOS-CoMoDa demonstrates the efficacy and promising utility of the proposed personalized RecSys architecture.

• 복식문화연구
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• 제11권4호
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• pp.487-499
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• 2003

The purpose of this study was to suggest marketing strategies to internet fashion shopping malls identifying factors that customers consider important. Data were collected by survey questionnaire and the subjects were 322 men and women in their twenties and thirties living in Seoul and Kyung-gi. SPSS 10.0 package were used and reliability, frequency, cross tabulation, chi-square, paired t-test, ANOV A and Duncan test were conducted for data analysis. The results were as follows. I) Subjects placed the most importance on providing the precise and detail information of products but its satisfaction level was low. 2) Subjects considered the ‘low price’ very importantly but its satisfaction level of it was not high. 3) Subject's importance and satisfaction level of ‘point system’ were about an average. 'Point system' has to be activated by using systems such as 'point network system' by pointbanking co. as one of price-cutting strategies. 4) Internet fashion shopping mall users treated 'the security system of personal data' importantly while they were not sufficiently satisfied with the system. 5) Female placed more importance on design and color of products and suppliance of the trendy items.

• 지능정보연구
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• 제25권3호
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• pp.179-200
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• 2019

구전(Word-of-Mouth) 활동은 오래 전부터 기업의 마케팅 과정에서 중요성을 인식하고 특히 마케팅 분야에서 많은 주목을 받아왔다. 최근에는 인터넷의 발달에 따라 온라인 뉴스, 온라인 커뮤니티 등에서 사람들이 지식과 정보를 주고 받는 방식이 다양해지면서 구전은 후기, 평점, 좋아요 등으로 입소문의 양상이 다각화되고 있다. 이러한 현상에 따라 구전에 관한 다양한 연구들이 선행되어왔으나, 이들을 종합적으로 분석한 메타 분석 연구는 부재하다. 본 연구는 학술 빅데이터를 활용해 구전 관련 연구동향을 알아내기 위해서 텍스트 마이닝 기법을 적용하여 주요 연구들을 추출하고 시기별로 연구들의 주요 쟁점을 파악하는 기법을 제안하였다. 이를 위해서 1941년부터 2018년까지 인용 데이터베이스인 Scopus에서 'Word-of-Mouth'라는 키워드로 검색되는 총 4389건의 문헌을 수집하였고, 영어 형태소 분석과 불용어 제거 등 전처리 과정을 통해 데이터를 정제하였다. 본 연구는 학문 분야의 발전 궤적을 추적하는 데 활용되는 주경로 분석기법을 적용해 구전과 관련된 핵심 연구들을 추출하여 연구동향을 거시적 관점에서 제시하였고, 단어동시출현 정보를 추출하여 키워드 간 네트워크를 구축하여 시기별로 구전과 관련된 연관어들이 어떻게 변화되었는지 살펴봄으로써 연구동향을 미시적 관점에서 제시하였다. 수집된 문헌 데이터를 기반으로 인용 네트워크를 구축하고 SPC 가중치를 적용하여 키루트 주경로를 추출한 결과 30개의 문헌으로 구성된 주경로가 추출되었고, 연관어 네트워크 분석을 통해서는 시기별로 온라인 시대, 관광 산업 등 다양한 산업군 등 산업 변화가 반영돼 시대적 변화와 더불어 발전하고 있는 학술적 영역의 변화를 확인할 수 있었다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.214-222
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• 2022

In these proceedings, we will address the problem of air pollution on the premises of the Cement factory SHARRCEM L.L.C. in Hani Elezit in the Republic of Kosovo respectively around the clinker cooler, rotary kiln, and raw material mill. By air pollution, we mean the introduction of chemicals, particles, or other harmful materials into the atmosphere which in one way or another causing damage to the development of plants and organisms. Air pollution occurs when certain substances are released into the air, which depending on the quantitative level, can be harmful to human health, animals, and the environment in general. The analysis of air shows the influence of the extractive and processing industry on the chemical composition of air. Parameters analyzed though under control such as the case of carbon dioxide, due to the increasing production capacity of cement, the production of hundreds of thousands of cubic meters of CO₂ gas made CO₂ production a concern. With the purchase of the latest technology by the SHARCEM Factory in Hani Elezit, the amount of air pollution has been reduced and the allowed parameters of environmental pollution have been kept under control. Air pollutants are introduced into the atmosphere from various sources which change the composition of the atmosphere and affect the biotic environment.The concentration of air pollutants depends not only on the quantities that are emitted from the sources of air pollution but also on the ability of the atmosphere to absorb or disperse these emissions. Sources of air pollutants include vehicles, industry, indoor sources, and natural resources. There are some natural pollutants, such as natural fog, particles from volcanic eruptions, pollen grains, bacteria, and so on.