• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.153-154
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• 2008

In this paper, we propose a diversity-enhancing scheme in a single link fading channel using repetition QPSK symbol code. The proposed scheme can be converted to rate outage formula and obtains enhanced diversity performance while guaranteeing the required data rate. Simulation result shows that the proposed scheme improves the rate outage performance compared to the conventional BPSK diversity schemes.

• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.769-774
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• 2011

This study aimed at finding the factors impacting customer satisfaction (CS) for conversion farm with $2^{nd}$ and $3^{rd}$ industry, because the most important thing in the conversion farm is enhancing customer satisfaction. The data on CS from 173 pumpkin farm's customers by on-line survey were gathered. The analysis using structural equation model with Amos was carried out. Product, service and purchasing were determined as 3 factors impacting to CS. The result showed that purchasing is the biggiest contributor to CS. It means the customers using on-ine market are very sensitive to farm's brand and logistics. It is also found that conversion with processing and farm experience activity is definitely affecting to building customer's trust. In conclusion, making efforts on enhancing CS in conversion farm is the key to success.

• Korean Journal of Child Studies
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• v.26 no.4
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• pp.71-84
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• 2005

Eighty-eight 5-year-old subjects were tested by the Torrance Tests of Creative Thinking, and randomly assigned to experimental(n=44) or control(n=44) groups. Developed in collaboration with kindergarten teachers, physical activity projects were based on themes from "life and health" and "life as expression" of the kindergarten curriculum. The resulting program consisting of 24 activities was applied to the experimental group for 24 sessions. Data were analyzed by mean, standard deviation, and repeated measures ANOVA. Effectiveness of the physical activity program for enhancing creativity was shown by a significant increase in mean creativity scores of the experimental group and in the sub-scores of fluency, originality, abstraction of title, elaboration, and resistance to an impetuous ending.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.91-109
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• 2010

The success of new product is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, and competitive environment as the key success factors of new product advantage. Recently, the role of IT capability in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT capability are lacking. The purpose of this study is to identify the effects of IT capability on new product competitive advantages and the relationship between IT capability and the key success factors for new product advantage. Conducting an empirical field study, the IT capability is shown to have a direct effect on new product competitive advantages, and to be also the key success factor to make up for marketing capability and manufacturing technical capability. This study develops a conceptual model on the role of IT capability in enhancing new product competitive advantages by integrating marketing research and IS research.

• Journal of The Korea Institute of Healthcare Architecture
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• v.15 no.1
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• pp.53-62
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• 2009

Healthcare facilities undergo substantial renovation and remodeling to accommodate changing technologies and regulatory requirements, thereby generating significant quantities of construction-related wastes, and subjecting building occupants to noise, dust, and other health impacting disruptions associated with construction. By designing flexible, adaptive, generic spaces, buildings can better respond to changes imposed by architectural composition of interpersonal and community space of hospital ward with minimum needs renovation and remodeling. This study focuses on the design principles of enhancing flexibility in architectural composition of interpersonal and community space of hospital ward. The purpose of this study is to provide fundamental data for designing interpersonal and community space of hospital ward through ecological flexible design principles with case on interpersonal and community space of hospital ward.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2809-2821
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• 2023

Effective recommendation of similar business groups is a critical factor in obtaining market information for companies. In this study, we propose a novel method for enhancing similar business group recommendation by incorporating derivative criteria and web crawling. We use employment announcements, employment incentives, and corporate vocational training information to derive additional criteria for similar business group selection. Web crawling is employed to collect data related to the derived criteria from 'credit jobs' and 'worknet' sites. We compare the efficiency of different datasets and machine learning methods, including XGBoost, LGBM, Adaboost, Linear Regression, K-NN, and SVM. The proposed model extracts derivatives that reflect the financial and scale characteristics of the company, which are then incorporated into a new set of recommendation criteria. Similar business groups are selected using a Euclidean distance-based model. Our experimental results show that the proposed method improves the accuracy of similar business group recommendation. Overall, this study demonstrates the potential of incorporating derivative criteria and web crawling to enhance similar business group recommendation and obtain market information more efficiently.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.294-297
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• 2024

Malware detection has become increasingly critical with the proliferation of end devices. To improve detection rates and efficiency, the research focus in malware detection has shifted towards leveraging machine learning and deep learning approaches. This shift is particularly relevant in the context of the widespread adoption of end devices, including smartphones, Internet of Things devices, and personal computers. Machine learning techniques are employed to train models on extensive datasets and evaluate various features, while deep learning algorithms have been extensively utilized to achieve these objectives. In this research, we introduce TabNet, a novel architecture designed for deep learning with tabular data, specifically tailored for enhancing malware detection techniques. Furthermore, the Synthetic Minority Over-Sampling Technique is utilized in this work to counteract the challenges posed by imbalanced datasets in machine learning. SMOTE efficiently balances class distributions, thereby improving model performance and classification accuracy. Our study demonstrates that SMOTE can effectively neutralize class imbalance bias, resulting in more dependable and precise machine learning models.

• Information Systems Review
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• v.6 no.2
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• pp.65-77
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• 2004

Business intelligence assumes an integrated and inter-connected information resources. To manage an integrated database, we need to trace data transformation processes from its outset. For this purpose, this study proposes an extended Information Structure Graph that models data transformation steps in addition to data transformation structures. Using the graph, we can identify relationship among data entities and assign data quality measures to each nodes or arcs of a graph, thus eases management of data and enhancing their quality.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.477-495
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• 2022

This paper proposes how to design and implement data-driven strategies by investigating how a firm can increase its value using data science. Drawing on prior studies on architectural innovation, a behavioral theory of the firm, and the knowledge-based view of the firm as well as the analysis of field observations, the paper shows how data science is abused in dealing with meso-level data while it is underused in using macro-level and alternative data to accomplish machine-human teaming and risk management. The implications help us understand why some firms are better at drawing value from intangibles such as data, data-science capabilities, and routines and how to evaluate such capabilities.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.159-170
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• 2023

Due to technological advancements, the data industry is growing, leading to a demand for data professionals in the market. Job seekers interested in data-related positions include not only those with relevant majors but also non-majors. Therefore, this study aims to identify effective educational methods for non-majors lacking data knowledge and skills to develop both data and business competencies. This research focuses on 28 trainees who participated in the "Data Youth Campus" program conducted by K-institution. The program spanned 10 weeks and was structured into three phases: fundamentals, practical training, and projects, systematically enhancing trainees' capabilities. The effectiveness of the curriculum and trainee management was verified by measuring and analyzing improvement of competencies and satisfaction with the program. This study offers valuable insights for the design and implementation of data education programs tailored to non-majors.