• Journal of the Korean Society of Physical Medicine
• /
• v.6 no.2
• /
• pp.215-223
• /
• 2011

Purpose: The purpose of this study was to determine the effect of leg muscle activation by applying proprioceptive neuromuscular facilitation (PNF) arm patterns to unilateral upper extremities under the condition of both open and closed kinetic chains in a seated position. Methods: Twenty-two healthy subjects participated in this study. Four PNF patterns were applied to each subject's unilateral upper extremity. EMG data were collected from the vastus medialis, biceps femoris, tibialis anterior and gastrocnemius. The measured EMG data were digitized and processed to root mean square (RMS) and expressed as percentage maximal voluntary isometric contraction (%MVIC). The data were analyzed using two-way analysis of variance (ANOVA) with repeated measures to determine the statistical significance. Results: The results of this study were summarized as follows: Firstly, in comparison to muscle activation of the biceps femoris, there was a significant increase in the D2 flexion pattern when it was compared with D2 extension pattern and when it was compared with D1 flexion pattern (p<.05). Secondly, there was a significant increase in the muscle activation of the vastus medialis and tibialis anterior with a closed kinetic chain rather than an open kinetic chain (p<.05). Conclusion: In conclusion, in order to increase muscle activation of the biceps femoris, the D2 flexion pattern can be applied, regardless of kinetic chain. In addition, in order to increase muscle activation of the vastus medialis and tibialis anterior, four arm patterns can be applied with a closed kinetic chain.

• The Journal of the Korea Contents Association
• /
• v.18 no.6
• /
• pp.324-332
• /
• 2018

Blockchain technology has the potential to revolutionize trust models and business processes in a variety of industries. However, it is considered to be the initial stage of the system that pursues autonomy rather than efficiency, and it is necessary to monitor and inspect the distributed ledger technology from the price and introduction time as compared with the existing relational DB transaction technology. However, domestic and foreign private sectors have already been activated by applying block-chain technology in the national domain, and the block chain is devoid of doubt that it is an exaggerated technology, characterized by the invariance of the record, transparency, and autonomous execution of business rules. It has begun to be utilized in history, identity, certification and auditing in the financial industry as well as various industries. In this paper, we analyze the problems such as security weakness, insufficient regulatory environment, technical consensus and lack of common standard. In addition, the business sense and possibility of the block chain technology is expected to be the innovation of the industrial ecosystem by entering into the reality system from the concept through monitoring the actual introduction performance in the field of copyright, logistics, health care and environment.

• Biotechnology and Bioprocess Engineering:BBE
• /
• v.6 no.2
• /
• pp.144-149
• /
• 2001

For the production and purification of a single chain human insulin precursor, four types of fusion peptides $\beta$-galactosidase (LacZ), maltose binding protein (MBP), glutathione-S-transferase (GST), and (His)(sub)6-tagged sequence (HTS) were investigated. Recombinant E. coli harboring hybrid genes was cultivated at 37$\^{C}$ for 1h, and gene induction occurred when 0.2mM of isopropyl-D-thiogalactoside (IPTG) was added to the culture broth, except for E. coli BL21 (DE3) pLysS harboring a pET-BA cultivation with 1.0mM IPTG, followed by a longer than 4h batch fermentation respectively. DEAE-Sphacel and Sephadex G-200 gel filtration chromatography, amylose affinity chromatography, glutathione-sepharose 4B affinity chromatography, and a nickel chelating affinity chromatography system as a kind of immobilized metal ion affinity chromatography (IMAC) were all employed for the purification of a single chain human insulin precursor. The recovery yields of the HTS-fused, GST-fused, MBP-fused, and LacZ-fused single chain human insulin precursors resulted in 47%, 20%, 20%, and 18% as the total protein amounts respectively. These results show that a higher recovery yield of the finally purified recombinant peptides was achieved when affinity column chromatography was employed and when the fused peptide had a smaller molecular weight. In addition the pET expression system gave the highest productivity of a fused insulin precursor due to a two-step regulation of the gene expression, and the HTS-fused system provided the highest recovery of a fused insulin precursor based on a simple and specific separation using the IMAC technique.

• Journal of the Korea Society for Simulation
• /
• v.15 no.2
• /
• pp.13-21
• /
• 2006

Due to the exhaustion of resources and increasing concerns about the environment, reverse logistics has become a critical issue in recent years. We discuss the conventional logistics operations and the reverse logistics operations in the automotive industry. The traditional supply chain (TSC) and the reverse supply chain (RSC) models are developed to compare performance between two systems. In addition, results of the simulation models are discussed in respect to total costs, inventory levels and stock-outs to analyze the effects of introducing of reverse logistics system.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.29 no.6
• /
• pp.1413-1424
• /
• 2019

Cryptocurrency has limitations to be used as an actual payment method due to the scalability problem of the blockchain consensus protocol, and various off-chain solutions to solve these limitations are being studied. In this paper, we design an efficient off-chain payment channel using one-way hash function and implement the designed payment channel using Ethereum smart contract. In addition, the experiment was conducted to measure and analyze execution time and cost for each method by deploying it in the same environment as the previously implemented plasma MVP. As a result, compared with plasma MVP, the proposed solution was able to reduce the total cumulative time by about 34% and reduce the overall execution cost by about 41%.

• Journal of Industrial Convergence
• /
• v.19 no.6
• /
• pp.1-10
• /
• 2021

This study sought ways to strengthen the competitiveness of local governments using public diplomacy, especially in Chungcheongbuk-do, at a time when it is urgent to revitalize the local economy by attracting investment from domestic and foreign companies due to changes in the global supply chain. The main issues that have recently emerged in the global business environment include strengthening the localization of the global value chain, diversifying reshoring and supply chains, and creating an efficient global value chain through digital transformation. Therefore, this study emphasized the necessity of a strategy for public diplomacy based on these changes, and derived the response conditions and detailed strategies of Chungcheongbuk-do through SWOT analysis. In addition, based on the ABCD model, we set up a Chungbuk-type public diplomacy strategy and suggested strategic implications for upgrading Chungbuk's competitiveness.

• Journal of Korea Trade
• /
• v.25 no.1
• /
• pp.152-168
• /
• 2021

Purpose - This paper has an objective to suggest reasonable criteria in choosing Incoterms 2020 rules for efficient and effective logistics management in that the Incoterms rules affect not only the rights and obligations of the parties to the sales contract but also the control and management of logistics system and transaction costs in the transaction. Design/methodology - An analysis of the various factors is needed to assess the positive or negative impact on global value chain in choosing Incoterms rules from a total logistics view. This study analyzes the impact of which the content of individual incoterms rules can have on the operation of international logistics systems under the global value chain from a strategic perspective to suggest reasonable criteria for selection of Incoterms rules depending on the transaction situation. Findings - Results of this study shows that consideration of various aspects which includes the characteristics of the products, logistics capabilities, infrastructure, transaction volume, operational cost, customs regulations, tax and accounting should be reflected in choosing the appropriate Incoterms rules. Therefore, in order to minimize the total cost and improve logistics performance, it may be helpful to develop a decision support model which allows users to select appropriate Incoterms rules based on various influencing factors. Originality/value - This Study is different from previous research which has mainly focused on the rights and obligations of the parties to the transaction regarding the transfer of risks and costs under the Incoterms. In addition, this study has significance in that it provides implications for export and import companies that can be able to use Incoterms as a strategic tool to efficiently manage the global value chain and improve supply chain performance.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.4
• /
• pp.595-600
• /
• 2024

As the use of artificial intelligence technologies such as machine learning increases in research fields that predict learning outcomes or optimize learning pathways, the use of artificial intelligence in education is gradually making progress. This research is gradually evolving into more advanced artificial intelligence methods such as deep learning and reinforcement learning. This study aims to improve the method of predicting future learning performance based on the learner's past learning performance-history data. Therefore, to improve prediction performance, we propose conditional probability applying the Markov Chain method. This method is used to improve the prediction performance of the classifier by allowing the learner to add learning history data to the classification prediction in addition to classification prediction by machine learning. In order to confirm the effectiveness of the proposed method, a total of more than 30 experiments were conducted per algorithm and indicator using empirical data, 'Teaching aid-based early childhood education learning performance data'. As a result of the experiment, higher performance indicators were confirmed in cases using the proposed method than in cases where only the classification algorithm was used in all cases.

• Journal of Korea Multimedia Society
• /
• v.16 no.12
• /
• pp.1413-1426
• /
• 2013

RFID thecnology has been widely adopted by industries for supply chain management. When a product item is manufactured RFID tag is attached to the product item and supply chain management among factories, distributors, retailers and customers needs to handle ownership transfer for the product item carefully. With RFID technology, the secure and efficient ownership transfer protocol is an important issue for the identification of product items and the overall system efficiency on supply chain. Many ownership transfer protocols have been proposed now. They have security problems and use complex operations such as encryption operation and hash function. Lo et al. proposed a protocol using lightweight operations such as shift, addition, XOR, and random number generation[1]. However, this protocol has a security problem in which the secret key between the tag and the new owner is disclosed to the attackers, and it is also weak against the Fraud attack[2]. In this paper, we propose a new ownership transfer protocol using lightweight operations such as shift, addition, and random number generation. This protocol is the modified version of Lo et al.'s protocol and is secure against the security attacks.

• Animal Bioscience
• /
• v.34 no.12
• /
• pp.1995-2002
• /
• 2021

Objective: Detection of adulteration in processed meats is an important issue for some countries due to substitution of beef with a cheaper source of protein like poultry. In this study, the presence of chicken meat was investigated using real-time polymerase chain reaction (real-time PCR) and enzyme-linked immunosorbent assay (ELISA) techniques to verify adulteration of fermented sausage samples. Methods: A total of 60 commercial samples were collected from 20 establishments in three replicates including 10 fermented sausage manufacturers and 10 butchers to investigate the presence of chicken meat with the sequential use of real-time PCR and ELISA techniques. In addition, pH, moisture content, water activity and color values of the samples were determined. Results: Both real-time PCR and ELISA showed agreement on the presence or absence of chicken meat in 55 out of 60 fermented sausage samples and chicken meat was identified with both methods in 16 samples. Five samples produced inconsistent results for the presence of chicken meat in the first run. Nevertheless, the presence of chicken meat was verified with both methods when these samples were analyzed for the second time. In addition, the average physico-chemical values of the fermented sausage samples tested positive for chicken meat were not significantly different from some of those fermented sausage samples tested negative for the chicken meat. Conclusion: The sequential use of real-time PCR and ELISA techniques in fermented sausages could be beneficial for the government testing programs to eliminate false negatives for detection of adulteration with chicken meat. Furthermore, consumers should not rely on some of the quality cues including color to predict the adulteration of fermented sausages with chicken meat since there were no statistical differences among some of the samples tested positive and negative for chicken meat.