• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.197-217
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• 2022

As automated vehicle(AV) accidents continue to occur, the importance of safety verification to ensure the safety and reliability of automated driving system(ADS) is being emphasized. In order to encure safety and reliability, it is necessary to define an operational design domain(ODD) of the ADS and verify the safety of the ADS while evaluating its ability to respond in situations outside of the ODD. To this, international associations such as SAE, BSI, NHTSA, ISO, etc. stipulate ODD standards. However, in Korea, there is no standard for the ODD, so automated vehicles's ODD expression method and safety verification and evaluation are not properly conducted. Therefore, this study analyzed overseas ODD standards and selected suitable ODD for safety verification and evaluation, and presented evaluation elements for ADS safety verification and evaluation. In particular, evaluation elements were selected by analyzing the evaluation environment of the automated driving experimental city (K-City) that supports the development of ADS technology.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.497-502
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• 2022

Information delivery among young generation has a distinct tendency to prefer visual to text as means of information distribution and sharing recently, and it is natural to distribute information through Youtube or one-man broadcasting on Internet. That is, young generation usually get their information through this kind of distribution procedure. Many young generation are also drastic and more aggressive for decorating themselves very uniquely. It tends to create personal characteristics freely through drastic expression and attempt of face makeup, hair styling and fashion coordination without distinction of sex. Especially, face makeup becomes an object of major concern among males nowadays, and female of course, then it is the major means to express their personality. In this study, to meet the demands of the times, we design and implement the intellectual smart mirror application that efficiently retrieves and recommends the related videos among Youtube or one-man broadcastings produced by famous professional makeup artists to implement the face makeup congruous with our face shape, hair color & style, skin tone, fashion color & style in order to create the face makeup that represent our characteristics. We also introduce the AI technique to provide optimal solution based on the learning of user's search patterns and facial features, and finally provide the detailed makeup face images to give the chance to get the makeup skill stage by stage.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.91-106
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• 2022

This study targets four Soho fashion shopping malls that are operating successfully in the online fashion market. This study analyzed the entrepreneurship process by dividing it into three stages. The results of the case study are as follows. In the case of Company S, the founder, who had little work experience, started an e-commerce business with a sense of fashion and entrepreneurship. It is a contemporary, casual brand with competitive prices, design power, and diverse product assortment, and the business performance was achieved through data management and analysis and the diversification of distribution channels. In the case of Company B, the founder, who had little work experience, started a manufacturing and e-commerce business by leveraging their SNS network capabilities and entrepreneurial spirit. It is a contemporary fashion brand with product competitiveness of specific items and start-up characteristics, and performance was achieved through the establishment of brand identity and market expansion. Third, Company M and Company C are examples of Soho fashion shopping malls where the founders with more extensive work experience at the time of founding their respective start-ups focused on brand recognition as their core competitiveness. In the case of Company M, the apparel brand was launched with a wealth of experience and design spirit. It is a fashion designer brand that stands out for its sensibility, and the owner has achieved performance through various entrepreneurial activities that broaden the corporate horizon. Company C is a manufacturing and e-commerce brand that was started with design capabilities and an entrepreneurial spirit. It is a luxury fashion brand that focuses on emotional expression, and the outcomes, such as brand recognition and sales, were achieved through active customer management. The results of this study can be used as basic data in education for and research of Soho shopping malls and the prospective founders.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.105-110
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• 2022

In line with the trend of the 4th Industrial Revolution, we tried to study the scalability of the craft sector in the art field in the wake of the convergence of new fields through the combination of different fields. To this end, a craft case using 3D printing technology was analyzed based on the theoretical background of the definition and value of digital craft. As a result of the study, craft works using 3D printing technology could be divided into four forms according to the fusion expression method. First, the mixed type was most characterized by harmonious production without significantly deviating from the traditional craft type. Second, the component type was produced in the form in which the characteristics of digital technology, which has advantages of certain shapes and detailed work, were best exhibited. Third, the structural type became a work with analog sensibility by adding traditional craft techniques based on the results output from a 3D printer. Finally, the connection type was the work that showed the greatest glimpse of originality and uniqueness among the analysis cases of this study. As digital technology is positively widely used, future studies will also deal with effective work directions.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.40 no.2
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• pp.44-58
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• 2022

Bunhwangsa Temple, Baekryulsa Temple and Sambulsa Temple are not famous cultural heritage area, but they are visited by many tourists and are located in Gyeongju National Park and Gyeongju Historic Areas, so environmental and cultural preservations are required. The purpose of this study is to manage the unique environment and landscape of cultural assets by analysing the invasive alien plant of traditional temple of Gyeongju. The whole flora were summarized as 188 taxa including 73 families, 136 genera, 154 species, 3 subspecies, 11 varieties, 4 forms, 5 hybrids and 12 cultivars., and the landscape plants were 163 taxa and 38 taxa of the invasive alien plants. The 13 taxa of invasive alien plants were planted in three temples. The ecosystem disturbance species were 3 taxa including Rumex acetosella, Lactuca seriola and Symphyotrichum pilosum. Invasive alien plants have artificial causes such as landscape planting, but there are also those that are introduced naturally from outside. The parking lot of the temple is expected to be a major propagation path for invasive alien plants due to the large amount of interference and disturbance. Based on the results of this study, the management plans are suggested as follows. First, it is necessary to use native species suitable for the natural environment and traditional landscape of Korea for landscape planting of traditional temples, and development of planting guidelines centered on cultural properties is required. Second, it is necessary to refrain from planting invasive alien plants because traditional temples are located in an important environment and historically. Third, for the preservation of the temple environment, it is necessary to promptly remove the ecosystem disturbance species. Fourth, in order to express the landscape characteristics of traditional temples, a unique planting plan should be established in consideration of the location environment and historicity.

• Korean Journal of Cognitive Science
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• v.33 no.2
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• pp.95-107
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• 2022

Facial processing of different racial origin has been investigated at various levels including perceptual, emotional, and socio-cultural processing. Particularly, a good deal of studies have been conducted to show "other race effect (ORE)" to indicate that subtle facial information such as identity or emotional expressions are often under-processed in racial out-group members. However, few studies have investigated whether attentional modulation toward racial out-group faces could explain ORE. We investigated whether novelty-driven attentional mechanism is involved in face perception using event-related potential (ERP). Twenty-two Korean (KR) and nine Caucasian-American (AM) participants were presented with emotional faces from the two racial origins while they performed a gender categorization task. KRs showed significantly greater P3 amplitudes to AM than to KR faces indicating that the early attentional processing underlies differential perception of racial out-group faces. Interestingly, P3 was not up-regulated in the AM subjects when they were presented with KR faces, perhaps due to massive habituation to KR faces during everyday social interaction. These results indicate that racial out-group faces are highly salient stimuli which automatically occupy attentional resources, but easily habituated with repeated exposure to the racial-out group.

• Journal of Life Science
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• v.32 no.8
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• pp.595-600
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• 2022

Water dropworts, Oenanthe javanica and O. javanica var. japonica are called "minari" in Korea and are eaten as a vegetable. Cicuta virosa is common European water hemlock and has toxic properties, such as cicutoxin. Molecular variations of water dropwort species in Korea were investigated using random amplified polymorphic DNA (RAPD). The six populations were studied with 10 primers (Operon, OPB) for RAPD analysis. The 72 DNA fragments (bands) were found among six populations. Among these 72 bands, 61 (84.7%) bands were polymorphic. The typical populations of Cicuta virosa in Korea were small, isolated, and patchily distributed for natural populations and they maintained a high level of genetic diversity. However, when cultivated populations of O. javanica var. japonica were large and widely grown in rice paddies as vegetables, they maintained a lower genetic diversity than those of C. virosa and wild populations of O. javanica. Although the diversity indices of wild populations were shown to be higher than those of cultivated populations, no significant difference for measures of genetic variability was shown. Total genetic diversity value (H_T) was 0.342. The interlocus variation in the within-population genetic diversity (H_S) was 0.201. The proportion of total genetic variation due to differences among populations (G_ST) range was 0.414, indicating that 41.4% of the total variation was among populations. In conclusion, the RAPD technique was a useful method for discrimination between C. virosa and O. javanica. In addition, RAPD-OPB markers could further distinguish the strains from different food sources.

• Knowledge Management Research
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• v.23 no.2
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• pp.277-299
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• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.8
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• pp.315-324
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• 2022

In this paper, we propose KoEPT, a Transformer-based generative model for automatic math word problems solving. A math word problem written in human language which describes everyday situations in a mathematical form. Math word problem solving requires an artificial intelligence model to understand the implied logic within the problem. Therefore, it is being studied variously across the world to improve the language understanding ability of artificial intelligence. In the case of the Korean language, studies so far have mainly attempted to solve problems by classifying them into templates, but there is a limitation in that these techniques are difficult to apply to datasets with high classification difficulty. To solve this problem, this paper used the KoEPT model which uses 'expression' tokens and pointer networks. To measure the performance of this model, the classification difficulty scores of IL, CC, and ALG514, which are existing Korean mathematical sentence problem datasets, were measured, and then the performance of KoEPT was evaluated using 5-fold cross-validation. For the Korean datasets used for evaluation, KoEPT obtained the state-of-the-art(SOTA) performance with 99.1% in CC, which is comparable to the existing SOTA performance, and 89.3% and 80.5% in IL and ALG514, respectively. In addition, as a result of evaluation, KoEPT showed a relatively improved performance for datasets with high classification difficulty. Through an ablation study, we uncovered that the use of the 'expression' tokens and pointer networks contributed to KoEPT's state of being less affected by classification difficulty while obtaining good performance.

• The Mathematical Education
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• v.61 no.3
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• pp.477-497
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• 2022

The rapidly changing world calls for reform in mathematics education from lifelong learning perspectives. This study examines adults' perception of mathematics by reflecting on their experiences of mathematics in and out of school in order to understand what the current needs of adults are. With the two questions: "what experiences do participants have during their learning of mathematics in schools?" and "how do they perceive mathematics in their current life?", we analyzed the semi-structured interviews with 10 adults who have different sociocultural backgrounds using narrative inquiry methodology. As a result, participants tended to accept school mathematics as simply a technique for solving computational problems, and when they had not known the usefulness of mathematical knowledge, they experienced frustration with mathematics in the process of learning mathematics. After formal education, participants recognized mathematics as the basic computation skill inherent in everyday life, the furniture of their mind, and the ability to efficiently express, think, and judge various situations and solve problems. Results show that adults internalized school education to clearly understand the role of mathematics in their lives, and they were using mathematics efficiently in their lives. Accordingly, there was a need to see school education and adult education on a continuum, and the need to conceptualize the mathematical abilities required for adults as mathematical literacy.