Journal of the Korea Institute of Information Security & Cryptology
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v.22
no.5
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pp.1079-1090
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2012
As the number of information asset and their vulnerabilities are increasing, it becomes more difficult for network security administrators to assess security vulnerability of their system and network. There are several researches for vulnerability analysis based on quantitative approach. However, most of them are based on experts' subjective evaluation or they require a lot of manual input for deriving quantitative assessment results. In this paper, we propose HRMS(Hacking and Response Measurement System) for enumerating attack path using automated vulnerability measurement automatically. HRMS can estimate exploitability of systems or applications based on their known vulnerability assessment metric, and enumerate attack path even though system, network and application's information are not fully given for vulnerability assessment. With this proposed method, system administrators can do proactive security vulnerability assessment.
Chang, Yong-Sun;Kim, Min-Soo;Lee, Kang Min;Cho, Dae Hwan
Journal of Korea Society of Industrial Information Systems
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v.19
no.3
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pp.103-114
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2014
The purpose of this study is to find out the relationship between high involvement Human Resource Management and organizational effectiveness in small company. High involvement Human Resource Management practices include training, incentive, performance appraisal, participation, proposal, communication, job description. This research approached organizational effectiveness using internal process and goal. Internal process approach measured internal organizational health using aggregate organizational commitment, turnover intention, job search. Goal approach measured organizational growth using sales growth rate per employee and net income growth rate per employee. Using the collected data from 267 employees at 27 small-sized firms located in South region in Korea, this research tested and confirmed the construct validity regression analysis at the organizational level. This research came to the conclusions to as follows: First, high-involvement HRM had the positive effect on the organizational commitment. Second, high-involvement HRM had the negative effect on the turnover intention. The findings suggest that high-involvement HRM is a valuable construct to understand internal process approach of organizational effectiveness in small firms.
To measure the levels of dioxins in food selling at local markets, meat was analyzed by high resolution gas chromatography/high resolution ass spectrometry (HRGC/HRMS). The food samples were obtained from 5 large cities of Seoul, Chunchon, Daejon, Kwangju and Busan in Korea. All the samples were minced and extracted with Soxhlet extractor for 18 hours. After extraction, extracts were cleaned up by sulfuric acid impregnated silica gel, purified on a series of silica gel, alumina, carbon column chromatography and then analyzed by HRGC/HRMS. The contaminated levels were calculated as the TEQs by multiplying with the corresponding WHO-TEFs for each congeners. The overall recoveries were ranged from 80% to 153% and the limit of detection was about 0.01 ppt at S/N>3. The levels of PCDD/Fs for beef, pork and chicken were 0.018, 0.008 and <0.001 pgTEQ/g, respectively. In addition, the levels of non-ortho-co-planar PCBs for beef, pork and chicken were 0.008, 0.002 and 0.001 pgTEQ/g, respectively. Among food samples analyzed, chicken showed the lowest level of dioxin-like compounds. Regarding congener pattern, OCDD and PCB #77 were the highest contributing congeners.
Although various models have been developed to establish the enterprise credit scoring, no model has utilized the enterprise human resource so far. The purpose of this study was to build an enterprise credit scoring model using enterprise human resource factors. The data to measure the enterprise credit score were made by the first-year research material of HCCP was used to investigate the enterprise human resource and 2004 Credit Rating Score generated from KIS-Credit Scoring Model. The independent variables were chosen among questionnaires of HCCP based on Mclagan(1989)'s HR wheel model, and the credit score of Korean Information Service was used for the dependent variables. The statistical method used for data analysis was logistic regression. As a result of constructing a model, 22 variables were selected. To see these specifically by each large area, 6 variables in human resource development(HRD) area, 15 in human resource management(HRM) area, and 1 in the other area were chosen. As a consequence of 10 fold cross validation, misclassification rate and G-mean were 30.81 and 68.27 respectively. Decile having the highest response rate was bigger than the one having the lowest response rate by 6.08 times, and had a tendency to decrease. Therefore, the result of study showed that the proposed model was appropriate to measure enterprise credit score using enterprise human resource variables.
Park, GiRim;Jang, Hyun A;Jo, Sung-Hwan;Park, Younghoon;Oh, Sang-Keun;Nam, Moon
Korean Journal of Agricultural Science
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v.45
no.3
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pp.385-400
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2018
Marker-assisted backcrossing (MABC) is useful for selecting offspring with a highly recovered genetic background for a recurrent parent at early generation unlike rice and other field crops. Molecular marker sets applicable to practical MABC are scarce in vegetable crops including tomatoes. In this study, we used the National Center for Biotechnology Information- short read archive (NCBI-SRA) database that provided the whole genome sequences of 234 tomato accessions and selected 27,680 tag-single nucleotide polymorphisms (tag-SNPs) that can identify haplotypes in the tomato genome. From this SNP dataset, a total of 143 tag-SNPs that have a high polymorphism information content (PIC) value (> 0.3) and are physically evenly distributed on each chromosome were selected as a MABC marker set. This marker set was tested for its polymorphism in each pairwise cross combination constructed with 124 of the 234 tomato accessions, and a relatively high number of SNP markers polymorphic for the cross combination was observed. The reliability of the MABC SNP set was assessed by converting 18 SNPs into Luna probe-based high-resolution melting (HRM) markers and genotyping nine tomato accessions. The results show that the SNP information and HRM marker genotype matched in 98.6% of the experiment data points, indicating that our sequence analysis pipeline for SNP mining worked successfully. The tag-SNP set for the MABC developed in this study can be useful for not only a practical backcrossing program but also for cultivar identification and F1 seed purity test in tomatoes.
Purpose: This study analyzes the characteristics of the Quality Management performed by SMEs in the Defense Industry in supply chains and analyzes the effect of the continuous improvement activities based on cooperation. Especially, for Military Supplies, the suitability of products is usually decided by judging their conformity to the specification, and from this structural characteristic, this study would analyze the structural relationship of systematic improvement activities with Supply Chain Quality Management(SCQM) and Business Performance(BP). Methods: Continuous improvement activities(CI) have significance as the driver force for the promotion of Quality Management. Thus, this study analyzed the causal relationships from the perspective of the process among CI, SCQM and BP. For an analysis of the structural characteristics and causal relationships among the constituents, AMOS was used, and 297 companies in the Defense Industry were utilized as samples. Results: It turned out that CI had significant impacts on Management Infra(MGT_Infra), Process Management(PM), Human Resources Management(HRM) and Communication(COMU) and had an indirect impact on the enterprises' financial performance through the parameters of HRM and Communication. Meanwhile, it turned out that between CI and non-financial performance, there was a direct effect, and there was also an indirect effect through the variables of the Management Infra and Communication. Conclusion: It turned out that CI had a positive effect on SCQM as a proactive driver and that they had significant relationships with BP(financial, Non-financial), both financial performance and non-financial performance. However, PM did not have a significant relationship of effect with BP because of the character appearing by the evaluation method of military supplies for the conformity to the specifications.
This study was design to grope the suggestions leading synergic effects by bridging the gap between headquarters and branch office, and so to identify the infra-system of contract foodservice management company (CFMC) necessary for operating any kind of branch office including school, hospital and business and industry (B&I). Among 8 categories consisted of infra-system in CFMC, 'C8. Evaluation & analysis for branch office's operation' was the most important category in the headquarter's viewpoint, while 'C3. Sanitation management system' was the most important category in branch office's viewpoint. In support and application, 'C3. Sanitation management system' was the highest category in both headquarters and branch offices including school, hospital and B&I. As a result of analysis on gap between main and branch office in importance, support and application in 8 categories, the efforts of communication and community of perception for infrastructure were needed, because 'C4. Education & training for human resource management (HRM) system' and 'C8. Evaluation & analysis for branch office's operation' in importance, 'C2. Menu management system', 'C4. Education & training for HRM system', 'C6. Facility & utility support system' and 'C8. Evaluation & analysis for branch office's operation' in support had a gap. Correlation analysis to grasp the relation between importance of infra-system and headquarters' support or branch office's application showed that headquarters's importance and support were correlated positively in 'C3. Sanitation management system', 'C6. Facility & utility support system', 'C7. Customer satisfaction management system' and 'C8. Evaluation & analysis for branch office's operation' and branch office's importance and application were correlated positively in 'C1. Procurement & food processing system', 'C5. Management Information system', 'C7. Customer satisfaction management system' and 'C8. Evaluation & analysis for branch office's operation'. Lastly, 'C6. Facility & utility support system' in the branch office of school and hospital and 'C2. Menu management system' in the branch office of B&I were high in importance, low in support and application, therefore Intensive support for these categories was needed. In conclusion, continuous check and improvement for categories, which were identified as an urgent problems to be solved in this study, among infra-structure qualifying for CFMC, would enable contract foodservice industry that has grown quantitatively till now to grow qualitatively.
Persistent organic pollutants (POPs) can affect epigenetic mechanisms and obesity development. Polybrominated diphenyl ethers (PBDEs)-widely used to make flames-are one of the important POPs. Prenatal exposure to endocrine disrupting chemicals (EDCs), such as POPs, may affect global DNA methylation in long interspersed nuclear elements (LINE-1), increasing the risk of obesity later in life. Therefore, pregnant Sprague-Dawley (SD) rats were used to elucidate whether BDE-47 and BDE-209 transferred through placenta and breast milk cause epigenetic changes in LINE-1 and increase genetic susceptibility to obesity as obesogen during the developmental periods. Global DNA methylation in LINE-1 and gene expression related to obesity were measured in dams and offspring, using a methylation-sensitive high resolution melting analysis (MS-HRM) and direct bisulfite sequencing and quantitative real time polymerase chain reaction (qPCR), respectively. The results of MS-HRM showed global DNA hypomethylation patterns in LINE-1 of exposed offspring (2 of total 4) at PND 4, but bisulfite sequencing showed no difference in both the exposed and non-exposed groups. Gene expression in dams related to ${\beta}$-oxidation pathway and those related to adipokines showed different patterns between the two groups. On the contrary, gene expressions of offspring showed a similar pattern. Gene expressions related to ${\beta}$-oxidation pathway and obesity were significantly increased when compared with 'at birth', but not $PPAR-{\alpha}$. In conclusion, this study demonstrated the possibility that co-exposure to BDE-47 and BDE-209-via the placenta and breast milk-may affect epigenetic changes and modulate gene expression levels related to obesity.
In this paper, we analyses heart beat data to identify subjects stress state (binary) using heart rate variability (HRV) features extracted from heart beat data of the subjects and implement supervised machine learning techniques to create the mental stress classifier. There are four steps need to be done: data acquisition, data processing (HRV analysis), features selection, and machine learning, before doing performance measurement. There are 56 features generated from the HRV Analysis module with several of them are selected (using own algorithm) after computing the Pearson Correlation Matrix (p-values). The results of the list of selected features compared with all features data are compared by its model error after training using several machine learning techniques: support vector machine, decision tree, and discriminant analysis. SVM model and decision tree model with using selected features shows close results compared to using all recording by only 1% difference. Meanwhile, the discriminant analysis differs about 5%. All the machine learning method used in this works have 90% maximum average accuracy.
The Journal of Asian Finance, Economics and Business
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v.9
no.10
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pp.115-127
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2022
The study's goal was to investigate the levels of employee loyalty (EL) in two Thai railway rolling stock maintenance (RRSM) companies. Simple random sampling was used to obtain a final sample of 118 individuals from October 2021 through December 2021. The research instrument was a questionnaire with an expert IOC value between 0.67 to 1.00 and a questionnaire reliability Alpha (𝛼) average value of 0.82. Descriptive statistics included the mean and standard deviation (SD). SPSS for Windows Version 21 and Multiple Regression Analysis (MRA) was used for the analysis. Results showed that the 118 employee's overall perceptions of their RRSM employers' motivating factors, human resource management, satisfaction, and loyalty were high. HRM's performance evaluation had the most significant overall influence on EL. Moreover, from the analysis of the five EL questionnaire items, the most influential item was the employee's income as a contributing factor to their EL. This was followed by the suitability of their work. Also, it seems the employees had a high level of loyalty to their firms even if a better offer of more money was made. They also indicated a high level of pride in their respective firms.
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