• Proceedings of the PSK Conference
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• 2002.04a
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• pp.166.3-167
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• 2002

• Proceedings of the PSK Conference
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• 2002.04a
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• pp.164.2-165
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• 2002

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1142-1166
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• 2020

Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.

• The Journal of Information Systems
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• v.27 no.3
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• pp.103-121
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• 2018

Purpose As web 2.0 has taken root in the Internet environment, people began to create specific values to produce and disseminate contents on their own. In order to emphasize the personalized media attributes, the concept of self media was derived. In this paradigm shift, self media has emerged that succeeded in commercializing themselves in social media. Taking advantage of the influence of self media will have a tremendous positive impact on management activities such as marketing strategy, brand promotion, customer retention, and profit growth. This study examines the factors affecting the loyalty of self media in Korea and China because the studies in the area of selfmedia is not enough. Design/methodology/approach This study analyzed what factors influenced the loyalty of self-media in terms of Korea-China comparison. The research model was proposed on the basis of previous research papers. Content value, interactivity, ease of access, self-congruity, sympathy, and reputation were used as independent variables. Trust and satisfaction are used as mediating variables, nationality as moderator variables, and loyalty to self-media as a dependent variable. Results As a result, it was found that all independent variables directly influence the loyalty of self-media except interactivity, and interactivity indirectly influence loyalty through trust and satisfaction. There was a moderating effect of nationality between satisfaction and loyalty, but was not a moderating effect between trust and loyalty.

• Proceedings of the PSK Conference
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• 2002.04a
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• pp.167.2-168
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• 2002

• Journal of Microbiology
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• v.45 no.3
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• pp.268-271
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• 2007

In Korea, the Mycobacterium tuberculosis K-strain is the most prevalent clinical isolates and belongs to the Beijing family. In this study, we conducted comparative porteomics of expressed proteins of clinical isolates of the K-strain with H37Rv, H37Ra as well as the vaccine strain of Mycobacterium bovis BCG following phagocytosis by the human monocytic cell line U-937. Proteins were analyzed by 2-D PAGE and MALDI-TOF-MS. Two proteins, Mb1363 (probable glycogen phosphorylase GlgP) and MT2656 (Haloalkane dehalogenase LinB) were most abundant after phagocytosis of M. tuberculosis K-strain. This approach provides a method to determine specific proteins that may have critical roles in tuberculosis pathogenesis.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.261-271
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• 2019

The study aims to investigate corporate social responsibility (CSR) best practices of the world automotive industry - Peugeot, BMW, Ford, Hyundai and Toyota among others - and recommend that they plan their business strategies and managerial responses accordingly. Based on the comparative research and case studies, this research finds that all five automobile manufacturers have taken very similar measures and actions in order to establish and maintain a high level of CSR practices. Sustainability was a core value in all five companies and served as a guiding principle in every aspect and approach of their business. This study finds that all five companies have CSR strategies in place to increase energy efficiency as well as reduce the usage and wastage of water in their production and plants. This research also finds that all companies monitor their suppliers and their own production process to ensure that they maintain their CSR standards. More impressively, this sustainable management practice is transferred along the companies' supply chain through education and training. Their suppliers and business partners are closely monitored to make sure that their high CSR standards are respected and followed. However, we find that there also are some differences in terms of their CSR deliveries and activities.

• Clinics in Shoulder and Elbow
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• v.25 no.3
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• pp.240-243
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• 2022

Isolated deltoid paralysis is a rare pathology that can occur after axillary nerve injury due to shoulder trauma or infection. This condition leads to loss of deltoid function that can cause glenohumeral instability and inferior subluxation, resulting in rotator cuff muscle fatigue and pain. To establish dynamic glenohumeral stability, a novel technique was invented. Humeral suspension is achieved using a double button implant with non-resorbable high strength cords between the acromion and humeral head. This novel technique was used in two patients with isolated deltoid paralysis due to axillary nerve injury. The results indicate that the humeral suspension technique is a method that supports centralizing the humeral head and simultaneously dynamically stabilizes the glenohumeral joint. This approach yielded high patient satisfaction and reduced pain. Glenohumeral alignment was improved and remained intact 5 years postoperative. The humeral suspension technique is a promising surgical method for subluxated glenohumeral joint instability due to isolated deltoid paralysis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2038-2057
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• 2017

Gaussian learning is a new technology in the computational intelligence area. However, this technology weakens the learning ability of a particle swarm and achieves a lack of diversity. Thus, this paper proposes a vector Gaussian learning strategy and presents an effective approach, named particle swarm optimization based on vector Gaussian learning. The experiments show that the algorithm is more close to the optimal solution and the better search efficiency after we use vector Gaussian learning strategy. The strategy adopts vector Gaussian learning to generate the Gaussian solution of a swarm's optimal location, increases the learning ability of the swarm's optimal location, and maintains the diversity of the swarm. The method divides the states into normal and premature states by analyzing the state threshold of the swarm. If the swarm is in the premature category, the algorithm adopts an inertia weight strategy that decreases linearly in addition to vector Gaussian learning; otherwise, it uses a fixed inertia weight strategy. Experiments are conducted on eight well-known benchmark functions to verify the performance of the new approach. The results demonstrate promising performance of the new method in terms of convergence velocity and precision, with an improved ability to escape from a local optimum.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.165-185
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• 2018

The purpose of the study was to show the development process of the total instructional alignment based on the 2015 revised technology home economics curriculum, and to present the detailed aspects of this task. The results of this study were as follows: First, the clarity phase of the performance established the annual evaluation plan to ensure the consistency of the achievement standard, the learning objectives and the assessment objectives through an analysis of the curriculum. Second, the development phase of the performance tasks and the grading criteria analyzed the contents area and determined the performance assessment task. The performance assessment consisted of a portfolio and project activity types, and also comprised of knowledge markets, as well as e-NIE tasks, including individual tasks and collective tasks. Third, the performance assessment and the results phase were conducted after planning the class operation according to the instructors' directions and arrangement of the schedule into block classes. Afterwards, the performance assessment tasks were revised by the teaching-learning community and class reflection on practical application. As these results demonstrate, developing performance tasks that are centered on the learner's development processes can contribute to teachers' expertise and improvement of instruction.