• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.14-25
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• 2020

This research proposes a methodology to evaluate the rationality of passengers' route choice who make trips within Seoul metropolitan subway based on smart card data. The rationality of user route choice is divided into the degree of determinacy and similarity concepts as basic principle. Determinacy is the degree to which the route selected by the passenger is identical to the system optimal path. Similarity indicates the degree to which the route is similar to the system optimal path. The K-path search method is used for path enumeration, which allows for measurement of determinacy. To assess determinacy within similarity, transfer tag data of private operators is used. Consequently, the concept of similarity applied to the model is such that the passenger's path choice is identical to the path taken using the tag reader. Results show that the determinacy of appearance of the shortest path (K=1) is 90.4%, while the similarity of appearance as K=(2-10) is 7.9%, summing to 98.3%. This indicates that trips on the metropolitan subway network are being rationally explained. 1.7% of irrational trips are attributed to the unexplainable error term that occurs due to the diversity of passengers.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.106-113
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• 2013

Since the 1960's, diverse movements that oppose the uniform design tendency of modernism appears in Italy. Especially, Gaetano Pesce, who opposed uniformity and standardization that are based on mass production system, had interests in making unique product, not an identical product, while accepting modern production technology. Therefore, the purpose of this study is to comprehend Pesce's design, which creates diversity by arranging contingent, non-predictive, and episodic aspects in creative and acceptance processes according to the intension of the designer within mass production system, as a non-representational characteristic, which appears widely in modern thought and the arts, and examine how it is materialized in detailed design work. The study methods are first examining non-representation with theoretical contemplation and dealing with the design philosophy of Pesce based on the examination. Next, in order to discover non-representational characteristics that appear in the work of Pesce, it examines from introducing worker's creativity, user's possibility of choice, openness in the working process, and the aspects of researching materials. And a specific application method will be drawn through case analysis centered on furniture design. Gaetano Pesce's design that denies the world of representation based on the sameness comes to possess non-representational characteristics that acknowledge contingency and ceaselessly create difference by intentionally arranging during the working process.

• Korea Real Estate Review
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• v.24 no.1
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• pp.91-104
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• 2014

This paper studied condo selection attributes that affected satisfaction, recommendation and revisitation, in particular, investigated gender and age differences. Research target is the group who revisited time-sharing condominium within one year. The paper seeks to understand factors that affect and contribute to customer satisfaction and intentions for reuse. This study model was analyzed by the basic statistical analysis, factor analysis, reliability analysis and multiple analysis, using SPSS 18.0 and AMOS 18.0. We found that 5 condo selection attributes that have significant affect on user satisfaction: facility, service, product, accessibility and expense. Furthermore it was evident that user satisfaction has a significant effect on condo recommendation and intentions of reuse. With regard to sex, for male users expense, accessibility and service had a significant effect on their satisfaction level, while for female users, product was most important. User satisfaction both have a significant effect on recommendation and intentions of reuse but for females this was more evident. Regarding the age, for 20~30 age band, service and product factor had a significant effect on user satisfaction in order, whereas, for the age band of over 40s, expense, product and facility factors were important. User satisfaction of both have a significant effect on recommendation and intentions of reuse. In the meantime user satisfaction of 20~30 age band had a bigger positive significant effect on recommendation and intentions of reuse than the age band over 40s.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1563-1571
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• 2011

In the commercial trains, there are monitors hung on the ceiling which simply display broadcasted contents so a passenger in a cabin has only one choice of passively watching them or not. To lead the application of IT in railway, keep a passenger from tedious journey, or help a passenger having a productive time, an MCS(Multimedia Contents System) was analyzed, designed, and implemented. A passenger can select and use a content from a smart terminal that is attached at the passenger's seat. A smart terminal is one that has its own memory and processor to handle informations and interact with a user. In this paper, the contents, such as train schedule, transfer information, traveling information, e-book, TV, music, and game, that the MCS can provide were introduced. To validate the applicability of the MCS on a next generation high-speed train, a testing environment will be set on a pre-production car and tested. The successful installation of the MCS will boost up the competitive power of the next generation train in the world market.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.385-387
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• 2002

IETF에서 IPSec(Internet Protocol Security)[1]의 구조를 발표한 이래 IPSec을 이용한 많은 VPN(Virtual PrivateNetwork)[2][3]이 구축되어 왔다. 이렇게 구축된 VPN에서 사용되는 CG(CryptoGate) 혹은 SG(Security Gateway)는 각각의 망에서 게이트 역할을 한다. 하지만 이런 기존의 CG나 SG는 IPSec의 정책을 사용자가 선택하는 것이 아닌 망 관리자가 일방적으로 서비스하도록 설계되어있다. 이러한 점은 사용자가 자신의 데이터를 평가하여 자율적으로 그에 맞는 서비스를 이용하는 것이 아니므로 사용자가 사용하는 것을 꺼릴 수도 있다. 또한 게이트웨이에 자신의 키를 백업할 수 있도록 하여서 사용자가 다시 이 망에 접근할 경우 다시 키 협상을 하는 것이 아닌 백업해둔 키를 가지고 연결할 수 있도록 하였다. 본 논문은 VPN에서 이러한 점을 고려하여 CG를 설계함으로써 VPN 사용의 확장성을 해결한다.

• Korean Journal of Clinical Pharmacy
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• v.3 no.1
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• pp.89-104
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• 1993

The use of drug or substance for altering consciousness among adolescence is a practice in modern society, especially in Korea. The choice and pattern of use are strongly influenced by the user6s personality and expectations. The goverment and society institute must be declared the emergency of Drug abuse, for the purpose of protecting adolescence from pscychotropic agents.

• Proceedings of the KSR Conference
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• 2003.05a
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• pp.326-330
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• 2003

The purpose of this study was to develop railroad geotechnical management system using Web GIS and the DB used in system included railroad informations and digital maps. Digital maps are primarily based on a topographical map(NGIS, 1:5000) and by adding digital maps(KRRI, 1:5000) and their spatial database system to NGI code layer, the management system was developed. The system was connected to geotechnical database already developed. The system was able to separate three parts which were layer choice, geotechnical information view and geotechnical analysis and it was possible to save geotechnical and spatial informations using ZEUS DB simultaneously. ZEUS/X was used for usefulness of GIS operation and by offering GUI, user interface for facility was achieved. Geotechnical and spatial informations in this system will provide basic data for plans, design and construction of railway lines in practical use.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.957-976
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• 2023

ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.2
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• pp.115-121
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• 2024

Each ADS must have a validation and evaluation scenario for ODD. This requires a large number of scenarios, so a scenario library must be developed. In order to effectively utilize the scenario library, a system that supports testing in the ODD of the user's choice is required. In other words, in order to develop a scenario library, it is necessary to build a database on actual driving road conditions (geometry, etc.). Accordingly, in this study, we establish a domestic driving environment database based on HD-Map for driving safety testing, design a system that can search test target sections in connection with the ODD of the scenario, and present the implementation results. In the future, it is expected that the domestic driving environment database will be able to create scenarios through linking with the scenario library and directly utilize them for scenario-based evaluation of various demand sources.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.