• International Journal of Advanced Culture Technology
• /
• v.11 no.4
• /
• pp.378-384
• /
• 2023

In this study, we explore social awareness, interest, and acceptance of generative AI, including chatGPT, which has revolutionized web search, 30 years after web search was released. For this purpose, we performed a machine learning-based topic modeling analysis based on Korean news big data collected from November 30, 2022, when chatGPT was released, to August 31, 2023. As a result of our research, we have identified seven topics related to chatGPT and generative AI; (1)growth of the high-performance hardware market, (2)service contents using generative AI, (3)technology development competition, (4)human resource development, (5)instructions for use, (6)revitalizing the domestic ecosystem, (7)expectations and concerns. We also explored monthly frequency changes in topics to explore social interest related to chatGPT and Generative AI. Based on our exploration results, we discussed the high social interest and issues regarding generative AI. We expect that the results of this study can be used as a precursor to research that analyzes and predicts the diffusion of innovation in generative AI.

• Journal of Korea Artificial Intelligence Association
• /
• v.1 no.1
• /
• pp.7-10
• /
• 2023

This study proposes an AI-based shoe recommendation model based on user clothing image data to solve the problem of the global fashion industry, which is worsening due to factors such as the economic downturn. Shoes are an important part of modern fashion, and this research aims to improve user satisfaction and contribute to economic growth through a generative AI-based shoe recommendation service. By utilizing generative AI in the personalized consumer market, we show the feasibility, efficiency, and improvements through an accessible web-based implementation. In conclusion, this study provides insights to help fulfill consumer needs in the ever-changing fashion market by implementing a generative AI-based shoe recommendation model.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.90-99
• /
• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

• International journal of advanced smart convergence
• /
• v.12 no.3
• /
• pp.175-185
• /
• 2023

As the era of ChatGPT and generative AI technologies unfolds, the marketing industry stands on the precipice of a paradigm shift. Innovations such as GPT-4, DALL-E 2, and Mid-journey Stable Diffusion possess the capacity to dramatically transform the methods by which advertisers reach and engage with customers. The potential applications of these advanced tools herald a new age for the marketing and advertising sectors, offering unprecedented opportunities for growth and optimization. Nevertheless, the rapid adoption of generative AI within these industries presents a unique set of challenges, particularly for organizations that lack the necessary technological infrastructure and human capital to effectively leverage these innovations. As a result, a competitive crisis may emerge, exacerbating existing disparities between well-equipped enterprises and their less technologically adept counterparts. In this article, we undertake a comprehensive exploration of the implications of generative AI for the future of marketing, examining both its potential benefits and drawbacks. We consider the possible impact of these developments on the advertising and marketing industries at large, as well as the ways in which professionals operating within these fields may need to adapt to remain competitive in an increasingly AI-driven landscape. By providing a holistic overview of the challenges and opportunities associated with generative AI, this study aims to elucidate the complex dynamics at play in the ongoing evolution of the marketing and advertising sectors.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.7
• /
• pp.81-88
• /
• 2024

Despite the rapid growth of the generative AI market and significant interest from domestic companies and institutions, concerns about the provision of inaccurate information and potential information leaks have emerged as major factors hindering the adoption of generative AI. To address these issues, this paper designs and implements a question-answering system based on the Retrieval-Augmented Generation (RAG) architecture. The proposed method constructs a knowledge database using Korean sentence embeddings and retrieves information relevant to queries through optimized searches, which is then provided to the generative language model. Additionally, it allows users to directly manage the knowledge database to efficiently update changing business information, and it is designed to operate in a private network to reduce the risk of corporate confidential information leakage. This study aims to serve as a useful reference for domestic companies seeking to adopt and utilize generative AI.

• Korean Institute of Interior Design Journal
• /
• v.15 no.1 s.54
• /
• pp.30-38
• /
• 2006

The new aspect of contemporary architectural design is the computer simulation of morphogenesis and evolution of the organic body. Morphogenesis and evolution is the kind of emergence that is the process of complex pattern formation from simpler rules in complex system. The development comprises the sequence of pattern formation, differentiation, morphogenesis, growth. This study analyzes the application methodology of various biomorphism in contemporary architecture. The methods of generative application by computation in architecture are self-organization, differentiation, growth algorithm via MoSS. And the methods of evolution by computation are genetic algorithm, multi-parameter in environments, phylogenetic cross-over, competing as natural selection, mutation+external constraints, generative algorithm+genetic algorithm via Genr8.

• Journal of Oriental Physiology
• /
• v.14 no.2 s.20
• /
• pp.139-148
• /
• 1999

In this paper, tiangui was considered in it's conception, generation and physiological function according to successive physicians. The following results were obtained : 1. Over the years, there have been many ideas about tiangui. These days, it is proper that tiangui be thought of as some substance which is in shenjing and which promotes generative function. According to current endocrinologic view, tiangui is equivalent to GnRH. 2. Before birth, a parent's energy is inherited to the embryo and after birth, that energy becomes tiangui which is sustained by taking food and nutrition. Tiangui is especially related to shenjing. 3. The most import physiological function of tiangui is the promotion of generative function. So it is related to menstruation and ejaculation. Secondly, tiangui is also concerned with human's growth and development.

• Horticultural Science & Technology
• /
• v.29 no.1
• /
• pp.36-42
• /
• 2011

This research was conducted to investigate the effects of irrigation quantity in irrigation management system controlled by drainage level sensors for perlite bag culture on the growth and yields of tomatoes during different growth stages. Tomato plants were irrigated with four selected methods; supplying small quantity (~70 mL) during entire growth (S-S), large quantity (~145 mL) during entire growth (L-L), small quantity before harvesting the first cluster fruits and large quantity after harvesting (S-L), and large quantity until harvesting the first cluster fruits and small quantity after harvesting (L-S). The irrigation quantity supplied in each time was gradually adjusted along with the ratios as the tomato crop grew during different growth stages. The growth of the tomato plants was unstable and slow during the entire cropping period when the plant was irrigated by small or large quantities (S-S or L-L). In L-S treatment, the growth phase of the tomato was changed from vegetative to generative growth on the basis of the plant development index when each irrigation quantity was changed. The L-S treatment exhibited the largest root volume and yields with stable drainage ratios. Therefore, the optimum irrigation quantity was determined as 145 mL before harvesting the first cluster fruits and 70 mL after harvesting.

• The Journal of Information Systems
• /
• v.33 no.2
• /
• pp.143-168
• /
• 2024

Purpose This study highlights the crucial role of external APIs in driving dynamic evolution within a digital ecosystem. Drawing on the concept of evolutionary network biology perspective, this study hypothesizes that APIs' (non)network properties can significantly impact a digital ecosystem's product variety. Design/methodology/approach This study analyzes plug-in source code data from WordPress.org between January 2004 and December 2014, using survival analysis to test this hypothesis. Findings The empirical results demonstrate that external APIs have a more significant impact on promoting ecosystem evolution over time than those offered by a focal platform system. This research enhances our understanding of ecosystem dynamics and emphasizes the critical role of the generative nature of APIs in fostering ecosystem growth.

• Journal of the Korean School Mathematics Society
• /
• v.8 no.1
• /
• pp.77-87
• /
• 2005

Smith(2001) calls for practice-based professional development for teachers of mathematics. This paper discusses laboratory class as a model for conducting professional development program for a group f elementary school mathematics teachers. The laboratory class seeks to promote teachers' generative growth (Carpenter & Levi, 1999) and all the core and structural features (Garet, Porter, Desimone, Birman & Kwang, 2001) of a professional development are also engaged in this program and the ultimate goal is for teachers to be reflective in their practices to be generative (Carpenter & Leher, 1999) in their teaching and learning. This paper also discusses the design of the laboratory class based on the principles of reflective thinking and psychological observation by Dewey to connect theory with practice.