• Archives of design research
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• v.20
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• pp.185-196
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• 1997

There were several methods of conception in seeking a visul idea of the advertising design. However, such conventional methods had a tendency that the degrees of utilization and satisfation are lacking. Also, in a thumbnail sketch phase, there was a great tendency to seek an idea based on pictorial elements only and thus depended chiefly on the existing references. Accordingly, originality was not high. Further, under the background which any common methods of a designer and a copywriter, if they have effective. I would like to propose a visul idea conception method, a condensing & amplification method for maintaining a logical system of advertising intelligence and for facilitating creative visualization through a language-oriented approach. The condensing & amplification method is the method of conception, in which after an appeal point as per advertising intelligence is passed through sentence and phrase and then condensed with word, various variation for the word develop, and by selecting the most creative word of the results, the thumbnail sketch commences based on the results amplified with the phrases and sentences.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.174-176
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• 2022

In this paper, we present a mobile application for 'personalized customized learning' for children with articulation disorders using an artificial intelligence (AI) algorithm. A dataset (Data Set) to analyze, judge, and predict the learner's articulation situation and degree. In particular, we designed a prototype model by looking at how AI can be improved and advanced compared to existing applications from the UX/UI (GUI) aspect. So far, the focus has been on visual experience, but now it is an important time to process data and provide a UX/UI (GUI) experience to users. The UX/UI (GUI) of the proposed mobile application was to be provided according to the learner's articulation level and situation by using CRNN (Convolution Recurrent Neural Network) of DeepLearning and Auto Encoder GPT-3 (Generative Pretrained Transformer). The use of artificial intelligence algorithms will provide a learning environment with a high degree of perfection to children with articulation disorders, thereby enhancing the learning effect. I hope that you do not have any fear or discomfort in conversation by improving the perfection of articulation with 'personalized and customized learning'.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.65-75
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• 2004

It is notorious that PIN(Personal Identification Number) is used widely for user verification and authentication in networked environment. But, when the user Identification and password are exposed by hacking, we can be damaged monetary damage as well as invasion of privacy. In this paper, we adopt face recognition-based authentication which have nothing to worry what the ID and password will be exposed. Also, we suggest the remote authentication and verification system by considering not only 2-Tier system but also 3-Tier system getting be distributed. In this research, we analyze the face feature data using the SVM(Support Vector Machine) and PCA(Principle Component Analysis), and implement artificial intelligence face recognition module in distributed environment which increase the authentication speed and heightens accuracy by utilizing artificial intelligence techniques.

• Journal of Korean Society for Quality Management
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• v.48 no.3
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• pp.361-379
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• 2020

Purpose: The purpose of this study was to investigate the relationship between employee authenticity and customer loyalty. This study also examined whether rapport positively mediated the above relationship. In addition this study address the moderating role of customer emotional intelligence in the relationship between employee authenticity and rapport. By developing moderated a mediation model, we addressed indirect conditional effect of customer emotional intelligence on the relationship between employee authenticity and customer loyalty via rapport. Methods: The survey data was collected by customers who used various services in Korea. The main hypotheses were tested using a cross-sectional design, with questionnaires administered to 292 customers. Results: The result of empirical analysis has shown that employee authenticity was significantly positively related to customer loyalty. We have also found that rapport positively mediated the relationship between employee authenticity and customer loyalty. While there was a significant moderating effect of customer emotional intelligence on the relationship between employee authenticity and rapport, the moderated mediating role of customer emotional intelligence was found. Conclusion: The results provide useful theoretical and practical implications to the organizations and managers who want to improve customer loyalty. Future research directions with the limitation of the study were discussed.

• ETRI Journal
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• v.41 no.6
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• pp.760-770
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• 2019

Based on the growing demand for neural network technologies, various neural network inference engines are being developed. However, each inference engine has its own neural network storage format. There is a growing demand for standardization to solve this problem. This study presents interworking techniques for ensuring the compatibility of neural networks and data among the various deep learning frameworks. The proposed technique standardizes the graphic expression grammar and learning data storage format using the Neural Network Exchange Format (NNEF) of Khronos. The proposed converter includes a lexical, syntax, and parser. This NNEF parser converts neural network information into a parsing tree and quantizes data. To validate the proposed system, we verified that MNIST is immediately executed by importing AlexNet's neural network and learned data. Therefore, this study contributes an efficient design technique for a converter that can execute a neural network and learned data in various frameworks regardless of the storage format of each framework.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1480-1493
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• 2018

Recently, computational intelligence has received a lot of attention from researchers due to its potential applications to artificial intelligence. In computer science, computational intelligence refers to a machine's ability to learn how to compete various tasks, such as making observations or carrying out experiments. We adopted a computational intelligence solution to monitoring residual resources in cloud computing environments. The proposed residual resource monitoring scheme periodically monitors the cloud-based host machines, so that the post migration performance of a virtual machine is as consistent with the pre-migration performance as possible. To this end, we use a novel similarity measure to find the best target host to migrate a virtual machine to. The design of the proposed residual resource monitoring scheme helps maintain the quality of service and service level agreement during the migration. We carried out a number of experimental evaluations to demonstrate the effectiveness of the proposed residual resource monitoring scheme. Our results show that the proposed scheme intelligently measures the similarities between virtual machines in cloud computing environments without causing performance degradation, whilst preserving the quality of service and service level agreement.

• Journal of Information Technology Services
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• v.21 no.1
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• pp.103-125
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• 2022

This study empirically examines the correlation between the data, system, service quality, collective intelligence, innovation activity, and work performance of the KMS for employees of state-run enterprises. This study also confirmed that collective intelligence and innovation activity have a mediating effect on the relationship between KMS system quality and work performance. For this study, employees of state-run enterprises completed a 5-point Likert scale survey, and the data obtained were analyzed with descriptive statistics. The reliability and validity of variables were also verified through a measurement model analysis. Structural equation modeling of IBM SPSS 26 and AMOS 26 were used to prove the hypothesis. Through this study, For the improvement of sustainable work performance of state-run enterprises, which is a difficult issue to solve, not only should the quality of the KMS utilized in the enterprises be improved and managed, but also the design for various incentive schemes tailored to the enterprises' job characteristics, such as rewards, HR bonus, work incentives, job allowance, and encouragement from the head of the enterprise, should be reviewed and continuously developed in reflection of the active collective intelligence of the employees and the effect of innovation activities. Then, the work performance of public institutions will increase.

• Journal of Distribution Science
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• v.20 no.6
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• pp.57-66
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• 2022

Purpose: Business agility is an important key to survival for SMEs in Indonesia, especially during the COVID-19 pandemic. Indonesian local product distribution and service distribution are mostly served by SMEs. Agile businesses will be able to assist them in the proper distribution of products and services. This research examines how the direct and indirect influence of IT capabilities on business agility through organizational learning and business intelligence for small and medium enterprises in the distribution of Indonesian products and services. Research design, data and methodology: This research uses SEM method with SmartPLS tool. The sample of this research was conducted on small and medium enterprises in the distribution of Indonesian products and services. The sample obtained in this study was 202 SME owners or managers (strategic level). Results: Business intelligence plays a key role in improving business agility. The results of IT capability can directly and indirectly affect business agility through organizational learning. Conclusions: Business intelligence has the biggest role in increasing business agility in SMEs in Indonesia. IT capability has an indirect effect on business agility through organizational learning. The findings of this study prove that IT capabilities do not indirectly affect business agility through business intelligence.

• Journal of Distribution Science
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• v.22 no.6
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• pp.83-93
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• 2024

Purpose: The present study is developed with the aim of mapping the trends in scientific production related to the implementation of artificial intelligence systems for agro-food supply chains. Research design, data and methodology: The methodological approach of the research shows a descriptive documentary process based on bibliometric techniques for mapping the main indicators of the area of knowledge through the establishment of a search equation in Scopus. Results: The research results show a total of 633 documents published between 2019 and 2023, with a great annual growth rate of 61.68%; In addition to a notable participation of countries such as India, China, the United Kingdom and the United States in the generation of new knowledge related to artificial intelligence applied to food distribution systems. Conclusions: It is concluded that the rise of new artificial intelligence technologies has shown extremely important results in the development of industries worldwide, with increasingly accelerated steps; which certainly translates into the creation of spaces and incentives in the production of research aimed at understanding these dynamics and in turn to propose new alternatives and proposals for the reduction of the large technological gaps that are present within the agro-food sector.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2004.05a
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• pp.184-187
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• 2004

'Digital' the most important keyword in the 21th century environment affects on our life whole and method, studying, working, playing and communicating. Also, digital make the range of products ambiguous through fusing and compounding products. It is becoming new subject how digital may ambiguous with human's life by this solution. So, basis proposition of study analyzes intelligence style furniture taking a view of making of furniture as long as it is by digital technology do essential intensive training of furniture and there is the purpose to suggest conception pattern of 'Digital Convergence Furniture' the future. In especial, analyze intelligence style furniture by investigating space and new tendency that appear on object according to accommodation formula of digital technology through case study it is present conception 'Digital Convergence Furniture'