• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.157-169
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• 2021

Establishing an investment evaluation system for public ICT projects is ultimately to increase the success rate of public ICT projects in which government finances are invested and to revitalize the projects, thereby establishing a foundation for national economic growth and enhancing the competitiveness of the global ICT industry. This study tried to empirically verify the effect of public ICT project investment evaluation factors established according to the existing evaluation system on actual project success, and to suggest directions for future investment evaluation factors. Five evaluation factors such as public interest, economic feasibility, technology, policy and budget efficiency were derived through prior research, and the effect of these evaluation criteria on actual project success was verified through questionnaires from experts who directly participated in the actual project. In addition, it was confirmed whether the government's support system had a moderating effect between the investment evaluation factors and the project success of the ICT project. The reliability and validity of measurement tools, structural model analysis, and path analysis were empirically analyzed, and the significance of existing ICT investment evaluation factors was verified.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.6
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• pp.347-353
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• 2021

In this study, we presented a novel size optimization framework to control the linear buckling temperature and several buckling modes of plates, by optimizing thickness values of composite structures for practical engineering applications. Predicting the buckling temperature and mode shape of structures is a vital research topic in engineering to achieve structural stability. However, optimizing designs of engineering structures through engineering intuition is challenging. To address this limitation, we proposed a method that combines finite element simulation and size optimization. Based on the idea that the structural buckling temperature and mode shape of a plate are affected by the thickness of the structure, the thickness values of the nodes of the target structure were set as the design variables in this optimization method; and the buckling temperature values, and buckling mode shapes were set as the objective functions. This size optimization method enabled the determination of optimal thickness distributions, to induce the desired buckling temperature values and mode shapes. The validity of the proposed method was verified in terms of their buckling temperature values and buckling mode shapes, using several numerical examples of rectangular composite structures.

• Journal of Biomedical Engineering Research
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• v.43 no.3
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• pp.177-184
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• 2022

The purpose of this study was to present the IMU sensor based trunk stabilization exercise and to evaluate the changes in the muscle activity and thickness with non-specific low back pain patients (N=30). They were classified into two groups; lumbar stabilization exercise using IMU sensor (ILS), (n₁=20) and general lumbar stabilization exercise (GLS), (n₂=10). By comparing the difference between pre and post intervention via trunk muscle activity and muscle thickness, the significant differences were identified. Muscle activity was measured on external oblique (EO), internal oblique (IO), and multifidus (MF) by using surface electromyography (sEMG). Muslce thickness was measured on external oblique, internal oblique, transverse abdominis (TrA), and multifidus (MF) by using ultrasonography. sEMG activity was recorded at right side-bridge position. Each group performed the proposed lumbar stabilization exercise for 30 minutes a day, 5 times a week for 4 weeks. Trunk muscle activity was observed with a significant increase in the IO of ILS (p<.05) and a decrease in the MF of GLS (p<.05). Trunk muscle thickness was significantly increased in left EO and both IO of GLS (p<.05), and also significant increased right EO, both IO, both TrA, and both MF of the ILS (p<.05). In the future, a convergence approach of rehabilitation and engineering is needed to select a sensor suitable for rehabilitation purposes, study the validity and reliability of data, and produce appropriate rehabilitation contents.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.1-12
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• 2022

This study analyzed the impact of supply chain management (SCM) and e-SCM on change acceptance capability, information sharing capability, partnership management capability, and business performance. This study and analysis were conducted targeting the employees of companies that introduced SCM and e-SCM in the metropolitan area and provinces. Change Acceptance Capability, Information Sharing Capability, Partnership Management Capability and Business Performance and the degree of relationship, between outcome variables, which are characteristic factors of SCM, were analyzed through a research model. Based on the survey results, nine research hypotheses were postulated, and the reliability, validity, and importance were examined. The research results supported by the research hypothesis can be summarized in two ways as follows. First, the company's capabilities were analyzed as major variables such as Acceptance Capability, Information Sharing Capability, Partnership Management Capability, and Business Performance. Second, the degree of relationship was analyzed in detail by classifying the necessary competencies in SCM into 4 categories, not the competencies of a specific company. This study is expected to provide appropriate information to SCM-related companies.

• Geophysics and Geophysical Exploration
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• v.24 no.4
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• pp.164-170
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• 2021

Frequency-domain and time-domain induced polarization methods can provide spectral information about subsurface media. Analysis of spectral characteristics has been studied mainly in the frequency-domain, however, time-domain induced polarization research has recently become popular. In this study, assuming a homogeneous half-space model, an inversion method was developed to extract Cole-Cole parameters from the measured secondary potential or electrical resistivity. Since the Cole-Cole parameters of chargeability, time constant, and frequency index are not independent of each other, various problems, such as slow convergence rate, initial model problem, local minimum problem, and divergence, frequently occur when conventional nonlinear inversion is applied. In this study, we developed an effective inversion method using the initial model close to the true model by introducing a grid search method. Finally, the validity of the developed inversion method was verified using inversion experiments.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.351-357
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• 2021

At the time when interest in the use of big data is rising in the face of the technological paradigm shift of the 4th industrial revolution, interest in the use of patented big data is increasing, especially as the proportion of intangible assets of companies increases. In addition to quantitative information, patent data contains various information such as unstructured text such as title, abstract, claim, citation and citation relations, drawings, and technology classification. It is judged that the use of treatment is important. Therefore, in this study, in order to systematically operate the innovative patent strategy framework and to secure a competitive advantage by strengthening the fundamental technological competitiveness of the company, we propose a method of using patent big data centering on the case of Company A, and verify its validity. I would like to suggest some implications. Through this, it is intended to raise awareness of the use of patent big data, and to suggest ways to use patent big data in connection with the company's company-wide strategy, business strategy, and functional strategy.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.61-67
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• 2021

In this paper, we propose a method of extracting and recognizing related information for research from images of the unstructured pulmonary function test papers using character detection and recognition techniques. Also, we develop a post-processing method to reduce the character recognition error rate. The proposed structuring method uses a character detection model for the pulmonary function test paper images to detect all characters in the test paper and passes the detected character image through the character recognition model to obtain a string. The obtained string is reviewed for validity using string matching and structuring is completed. We confirm that our proposed structuring system is a more efficient and stable method than the structuring method through manual work of professionals because our system's error rate is within about 1% and the processing speed per pulmonary function test paper is within 2 seconds.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.9-14
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• 2022

In this study, we propose a method for moving a device such as a flexible air sculpture while stably maintaining the user's desired posture. To accomplish this, a robot system with a structure of a mobile robot capable of running according to a given trajectory was studied by applying the PI algorithm and horizontal maintenance posture control using IMU. The air sculptures used in this study often use thin strings in a fixed posture. Another method is to put a load on the center of gravity to maintain the posture, and it is a system with flexibility because it uses air pressure. It is expected that these structures can achieve various results by combining flexible structures and mobile robots through the convergence process of digital sensor technology. In this study, posture control was performed by fusion of the driving technology of AGV(Automatic Guided Vehicle),, a field of robot, and technologies applying various sensors. For verification, the given performance evaluation was performed through an accredited certification test, and its validity was verified through an experiment.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.261-272
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• 2022

The aim of the study is to develop the Adolescent Anger Provocation Scale(AAPS) for Korean adolescents. In order to develop the scale, two research processes were conducted. First, a total of 130 items were derived from various related research. After analyzing 130 items by a research team(2 related field professors and 2 Ph.D. students), a total of 54 items reconstructed based on redundancy, cultural relevancy, and appropriateness. Second, a survey was administered among 252 Korean adolescents. After analyzing an exploratory factor analysis, 12 items of poor factor loading were deleted. Thus, seven factors and 42 items were extracted. Seven factors were as follows: (1) threat to self-esteem, (2) uncontrollable situations, (3) violation of personal property, (4) incidents associated with rejection, (5) violation of regulation or rules, (6) disrespectful treatment, (7) unfair treatment due to age. The internal consistency and convergence validity of the scale were supported. The results of confirmatory factor analysis were also reported. In addition, study limitations and recommendations of future research were discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3565-3583
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• 2022

The task scheduling problem has received a lot of attention in recent years as a crucial area for research in the cloud environment. However, due to the difference in objectives considered by service providers and users, it has become a major challenge to resolve the conflicting interests of service providers and users while both can still take into account their respective objectives. Therefore, the task scheduling problem as a bi-objective game problem is formulated first, and then a task scheduling model based on the bi-objective game (TSBOG) is constructed. In this model, energy consumption and resource utilization, which are of concern to the service provider, and cost and task completion rate, which are of concern to the user, are calculated simultaneously. Furthermore, a many-objective evolutionary algorithm based on a partitioned collaborative selection strategy (MaOEA-PCS) has been developed to solve the TSBOG. The MaOEA-PCS can find a balance between population convergence and diversity by partitioning the objective space and selecting the best converging individuals from each region into the next generation. To balance the players' multiple objectives, a crossover and mutation operator based on dynamic games is proposed and applied to MaPEA-PCS as a player's strategy update mechanism. Finally, through a series of experiments, not only the effectiveness of the model compared to a normal many-objective model is demonstrated, but also the performance of MaOEA-PCS and the validity of DGame.