• The Journal of Bigdata
• /
• v.9 no.1
• /
• pp.49-60
• /
• 2024

This study aims to provide insights for developing innovative products, based on reviews from females aged 30 to 70 who bought cosmetic cushions via TV home shopping. Analyzing 200,000 reviews with Selenium and NLP techniques, we found the main audience is in their 50s and 60s, prioritizing radiance, blemish and wrinkle coverage, and adherence. Notably, products with appealing designs were preferred, especially for gifting among relatives and friends. The proposed innovation is Korea's first AI-recommended cushion, utilizing NLP to match customer needs. Key ingredient recommendations include S.Acamella extract and AHA components, chosen for their perceived benefits and consumer preference. The research also highlights the importance of product aesthetics and gift potential, suggesting marketing strategies should emphasize these aspects to appeal to the target demographic. This approach aims to guide product development and marketing towards meeting consumer expectations in the cosmetic cushion industry, making products more personalized and gift-worthy.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.5
• /
• pp.51-68
• /
• 2024

To safely operate lithium-ion batteries that power mobile electronic devices, it is crucial to accurately predict the remaining useful life (RUL) of the battery. Recently, with the advancement of machine learning technologies, artificial intelligence (AI)-based RUL prediction models for batteries have been actively researched. However, existing models have limitations as the reasoning process within the models is not transparent, making it difficult to fully trust and utilize the predicted values derived from machine learning. To address this issue, various explainable AI techniques have been proposed, but these techniques typically visualize results in the form of graphs, requiring users to manually analyze the graphs. In this paper, we propose an explainable RUL prediction method for lithium-ion batteries that interprets the reasoning process of the prediction model in textual form using SHAP analysis based on large language models (LLMs). Experimental results using publicly available lithium-ion battery datasets demonstrated that the LLM-based SHAP analysis enabled us to concretely understand the model's prediction rationale in textual form.

• Asia Marketing Journal
• /
• v.16 no.1
• /
• pp.35-69
• /
• 2014

The impact of competition on pricing has been studied in the context of counterfactual merger analyses where expected optimal prices in a hypothetical monopoly are compared with observed prices in an oligopolistic market. Such analyses would typically assume static decision making by consumers and firms and thus have been applied mostly to data obtained from consumer packed goods such as cereal and soft drinks. However such static modeling approach is not suitable when decision makers are forward looking. When it comes to the markets for durable products with indirect network effects, consumer purchase decisions and firm pricing decisions are inherently dynamic as they take into account future states when making purchase and pricing decisions. Researchers need to take into account the dynamic aspects of decision making both in the consumer side and in the supplier side for such markets. Firms in a two-sided market typically subsidize one side of the market to exploit the indirect network effect. Such pricing behaviors would be more prevalent in competitive markets where firms would try to win over the battle for standard. While such qualitative expectation on the relationship between pricing behaviors and competitive structures could be easily formed, little empirical studies have measured the extent to which the distinct pricing structure in two-sided markets depends on the competitive structure of the market. This paper develops an empirical model to measure the impact of competition on optimal pricing of durable products under indirect network effects. In order to measure the impact of exogenously determined competition among firms on pricing, we compare the equilibrium prices in the observed oligopoly market to those in a hypothetical monopoly market. In computing the equilibrium prices, we account for the forward looking behaviors of consumers and supplier. We first estimate a demand function that accounts for consumers' forward-looking behaviors and indirect network effects. And then, for the supply side, the pricing equation is obtained as an outcome of the Markov Perfect Nash Equilibrium in pricing. In doing so, we utilize numerical dynamic programming techniques. We apply our model to a data set obtained from the U.S. video game console market. The video game console market is considered a prototypical case of two-sided markets in which the platform typically subsidizes one side of market to expand the installed base anticipating larger revenues in the other side of market resulting from the expanded installed base. The data consist of monthly observations of price, hardware unit sales and the number of compatible software titles for Sony PlayStation and Nintendo 64 from September 1996 to August 2002. Sony PlayStation was released to the market a year before Nintendo 64 was launched. We compute the expected equilibrium price path for Nintendo 64 and Playstation for both oligopoly and for monopoly. Our analysis reveals that the price level differs significantly between two competition structures. The merged monopoly is expected to set prices higher by 14.8% for Sony PlayStation and 21.8% for Nintendo 64 on average than the independent firms in an oligopoly would do. And such removal of competition would result in a reduction in consumer value by 43.1%. Higher prices are expected for the hypothetical monopoly because the merged firm does not need to engage in the battle for industry standard. This result is attributed to the distinct property of a two-sided market that competing firms tend to set low prices particularly at the initial period to attract consumers at the introductory stage and to reinforce their own networks and eventually finally to dominate the market.

• Journal of Navigation and Port Research
• /
• v.48 no.4
• /
• pp.249-260
• /
• 2024

This paper aimed to summarize research on technologies that could efficiently reduce wave-making resistance of container ships. Tto develop wave resistance reduction technology that could be applied to container ships and use it in real ship design, hull-form optimal design was performed by applying optimization algorithms, hull-form change algorithms, ship performance prediction algorithms, automation algorithms, and iterative optimal design techniques. A computer program was also developed. To properly set design variables known to be important elements in hull-form optimal design and to efficiently set lower and upper limits of design variables, a sensitivity analysis algorithm was developed and applied to hull-form optimal design. To predict the reliability and applicability of the developed computer program for real ships, hull-form optimal design was performed for a KRISO Container Ship (KCS), a container ship with various studies conducted worldwide. Hull-form optimal design was performed at Fn=0.26, the design speed of the KCS ship. Numerical analysis was performed on the hull-form of the target ship, the KCS ship, and the hull-form of the ship derived as a result of the hull-form optimal design to determine wave resistance, wave system, and wave height. The optimal ship's wave resistance was found to be reduced by 80.60% compared to the target ship. The displacement and wetted surface area were also found to be reduced by 1.54% and 1.21%, respectively.

• Journal of the HCI Society of Korea
• /
• v.2 no.2
• /
• pp.19-26
• /
• 2007

This paper presents an augmented reality based modeling system that can provide pottery design experiences to the user. Augmented reality offers natural 3D interaction, a tangible interface, and integration into the real environment. In addition, six modeling techniques that mimics the hand movements in real world deformation process and an occlusion based interaction technique is provided for pottery modeling. The developed interface facilitates fast and intuitive pottery design. The AR pottery system can be used for pottery prototyping/design and educational purposes.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.23 no.2
• /
• pp.172-183
• /
• 2016

Purpose: The purpose of this study was to explore the subjective experience of life-sustaining treatment care among nurses in intensive care units. Method: A phenomenology was used for the study. Data were collected from October to December, 2015 using open-ended questions during in-depth interviews. Participants were nurses working in intensive care units and were contacted through purposive techniques. Eight nurses participated in this study. Results: Four categories emerged from the analysis using Colaizzi's method: (a) difficulties due to life-sustaining treatment care, (b) dilemma of extension or cessation of life-sustaining treatment, (c) repressed feelings and emotional exhaustion, and (d) forming values for life-sustaining treatment from nursing experience. Conclusion: Provision of clearer guidelines on life-sustaining treatment which reflect a family-oriented culture is important for nurses in ICU and will promote nurses involvement in the decision-making process of life-sustaining treatment of patients.

• Journal of Fashion Business
• /
• v.16 no.5
• /
• pp.146-163
• /
• 2012

This thesis aims to present how to make secure the identity of the brand with enhancing the esthetic expression of the brand and making the ways of emotional communication in variety, through investigating closely the case of Prada representative of the typical brands that have established the unique identity by cooperating the fashion with culture and art through their ingenious and consistent efforts. In the conclusion, the culture and art was found to be applied in two fields i.e. one of design and the other of marketing. In terms of the design, the method of inserting the image into the surface of the clothing and accessories was used. In the context, the illustration techniques, photographic patterns and applying the image of the art piece could be summarized to be used. In terms of marketing, the sponsorship of the art and exhibitions, look books, animations and fashion films, epicenter, the collaboration with the other kinds of enterprise, could be regarded as four ways of the approaches. The innovation and creativity, futuristic hybrid, nonprofit support of the art, the integration and consistency of the image of the arts could be concluded to be four major points defining the characteristics of the Prada renowned for the use of the culture and arts to its property.

• English Language & Literature Teaching
• /
• v.17 no.2
• /
• pp.161-180
• /
• 2011

This study aims to illustrate the value of teaching English drama in the course of teaching primary English and suggests a model for primary English drama in an English camp for Children. Drama is the world of assumption where language is used just like in real life. It has a positive effect on foreign language learning by encouraging the operation of certain psychological factors which facilitate oral communication. Dramatic techniques such as storytelling, role play, chant, song and games can be used in the EFL classroom to help bring about such results. Meanwhile, making a primary English drama in an English camp for Children would be practical mode to attain the essential purpose of EFL teaching particularly to get over the drawbacks of Korean students' communicative competence under the school's inflexible EFL education curriculum. In this paper, I will present the effectiveness of English drama and the skills for using it with ESL students and suggest some notes that can be used to reinforce the goals set out from the position of the teacher, student and teaching material. It is confirmed that the trained leader, students' affirmative attitude and systematic teaching materials are needed to maximize the effects of drama activities. In addition to that, there will be showed a model of instruction targeted to the primary students learning English in an English camp for Children.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.677-680
• /
• 2003

Perceptual landmarks are an effective solution for a mobile robot realizing steady and reliable long distance navigation. But the prerequisite is those landmarks must be detected and recognized robustly at a higher speed under various lighting conditions. This made image processing more complicated so that its speed and reliability can not be both satisfied at the same time. Color based target detection technique can separate target color regions from non-target color regions in an image with a faster speed, and better results were obtained only under good lighting conditions. Moreover, in the case that there are other things with a target color, we have to consider other target features to tell apart the target from them. Such thing always happens when we detect a target with its single character. On the other hand, we can generally search for only one target for each time so that we can not make use of landmarks efficiently, especially when we want to make more landmarks work together. In this paper, by making use of the moment invariants of each landmark, we can not only search specified target from separated color region but also find multi-target at the same time if necessary. This made the finite landmarks carry on more functions. Because moment invariants were easily used with some low level image processing techniques, such as color based target detection and gradient runs based target detection etc, and moment invariants are more reliable features of each target, the ratio of target detection were improved. Some necessary experiments were carried on to verify its robustness and efficiency of this method.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.3
• /
• pp.77-82
• /
• 2020

Most of the navigation in the vehicle has been developed based on a complex structure of PSF(Physical Storage Format) files, making it difficult to support incremental map updates. DB-based navigation is drawing attention as a next-generation navigation method to solve this problem. In DB-based navigation that supports incremental map updates, data fragmentation due to continuous map data updates can increase data access costs, which can lead to a decrease in search performance. In this paper, as one of the performance enhancement methods of DB-based navigation that supports incremental map updates, data fragmentation prevention techniques were presented and the performance improvement effect was verified through actual implementation.