• Korean Journal of Agricultural Science
• /
• v.50 no.2
• /
• pp.165-180
• /
• 2023

This study investigated 62 nested quadrat plots of Jinaksan to identify community classification and changes of the vegetation by using the phytosocial method and analyzed importance values. Vegetation types were classified into 8 communities: Quercus mongolica community, Q. variableis community, Q. aliena community, Pinus densiflora, Q. acutissima, Zelkova serrata, Carpinis laxiflora, and C. tschonoskii. The significance value was highest in Q. mongolica (62.75) followed by P. densiflora (55.16), Q. variabilis community (25.03), Z. serrata (22.17), Q. aliena (18.30), Prunus serrulata var. pubescens (16.86), C. laxiflora (13.25), Q. acutissima (10.72), C. tschonoskii (10.08), Q. serrata (8.02), Fraxinus sieboldiana (6.93), Acer pseudosieboldianum (6.73), and Styrax obassis (5.73). Quercus mongolica displayed a stable distribution pattern, presenting a reverse J-shaped curve from the diameter at breast height (DBH) analysis, and it was judged that current state would be maintained for a certain period. In addition, P. densiflora is expected to dominate for the time being and Quercus species are expected to gradually decrease.

• Korean Journal of Metals and Materials
• /
• v.47 no.5
• /
• pp.283-289
• /
• 2009

This paper dealt with a statistical analysis for evaluating the creep crack growth rate (CCGR) for Modified 9Cr-1Mo (ASTM Grade 91) steel. The CCGR data was obtained by the creep crack growth (CCG) tests conducted under various applied loads at $600^{\circ}C$. To obtain logically the B and q values used in the CCGR equation, three methods such as the least square fitting method (LSFM), the mean value method (MVM) and the probabilistic distribution method (PDM) were adopted and their CCGR lines were compared, respectively. In addition, a number of random variables were generated by using the Monte Carlo simulation (MCS), and the CCGR lines were predicted probabilistically. It was found that both the B and q coefficients followed a 2-parameter Weibull distribution well. In the case of the ranges of 10-90% for the probability variables, P(B, q), the CCGR lines were predicted. Fractographic study was conducted from the specimen after the CCG tests.

• The Journal of the Korea Contents Association
• /
• v.20 no.7
• /
• pp.576-584
• /
• 2020

The effect of conducted using Q research method, which is one of qualitative analysis methods that can approach in-depth and essential meaning of Spanish restaurant's perception of dining out consumers. The purpose of this study is to classify Spanish restaurant's perceptions of catering consumers by type, to find out the characteristics among them, and to suggest future improvement directions. An exploratory study was conducted using Q-methodology to analyze the subjective perceptions of restaurant customers in Spanish restaurants. To this end, the Q-sort, which consists of a statement card, a P-sample, and a classification process, was analyzed through Q factor analysis using the PC QUANL program. The results were classified into two types. Type 1 (N=10): Spanish restaurant preference, Type 2 (N=7): The name of the factor was set as the type of professionalism in Spanish restaurants. Each type was found to have different characteristics. Each subjective perception detected through this analysis can be used as basic data for various studies.

• The Journal of the Korea Contents Association
• /
• v.21 no.7
• /
• pp.404-412
• /
• 2021

This study was conducted by using the Q research method, one of the qualitative analysis methods, in order to approach consumers' perceptions of processed meat food in an essential and in-depth approach. To this end, Q-sort, which goes through the task of distributing responses by setting P samples by creating a question-and-answer table of positive and negative, was analyzed by using the PC QUANL program and analyzing the Q factor. As a result of the analysis, it was divided into three single types. Type 1 (N= 10) : Preferred types of processed meat food, Type 2 (N= 7) : Types of Pursuing Functionality of Processed Meat Food, Type 3 (N= 4) : The name of the factor was set as the non-preferred type of processed meat food. Each type has different characteristics, and the subjective perception of each factor detected through this analysis can be used as various basic research data in the future, and for the purpose of the study, the perceptions of consumers who use processed meat foods were classified and classified by type. It is to suggest future improvement directions by checking the characteristics of the variables.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.16 no.5
• /
• pp.653-658
• /
• 2013

For towing the new type armored vehicle and maintaining the close support, the armored recovery vehicle(ARV) with winch and crane has been developed. In case of crane, it is mainly used to salvage heavy objects by rotational and vertical motion. Especially, the crane bracket is very important parts due to fixing the ARV's body and rotary joint and preventing the force rotation of crane. Therefore, the crane bracket needs to have an enough strength to endure the high load and it is very important to analyze the stress distribution under loads. In the present work, the experimental and analytical investigation on structural integrity evaluation of crane bracket were carried out. The simulation of three-dimensional finite element method(FEM) was compared with experimental datum. From the numerical results, the FEM simulations corresponded well with th experimental results and the structural safety was confirmed by safety factor.

• The Journal of the Korea Contents Association
• /
• v.19 no.11
• /
• pp.92-101
• /
• 2019

This study used the Q-method to derive the structure of subjective opinions and perceptions of university students about the behavior of food delivery agency service provided by staff not directly employed in restaurants. For this purpose, the Q factor analysis was performed using the PC QUANL program for the Q-sort, which consists of a statement card, a P-sample, and a classification process. The results were classified into three types. The factor names were set as the first type (N = 7): efficiency seeking type, the second type (N = 19): benefit seeking type, and the third type [(N = 6): cost-effectiveness seeking type. The characteristics of each type are Type 1:Types that recognize aspects that are efficient for both consumers and restaurants, Type 2: Types of recognizing aspects of being benefited from speed, convenience and benefit, Type 3: Although it contributes to labor cost savings, it appears to recognize price and quality aspects in the initial market, which is burdened by consumers. The purpose of this study is to derive the problems of food delivery agency service business according to the three types and to provide strategic implications for the development direction and improvement plan.

• Journal of Korean Society of Transportation
• /
• v.26 no.1
• /
• pp.165-180
• /
• 2008

The purpose of this research is to propose an effective traffic safety countermeasure to reduce both violations of road traffic acts and accident rates related to the driver's characteristics by measuring them using Q analysis method, a microscopic statistics analysis method. As a result, violators of the road traffic act could be divided into five driving characteristics and causers of traffic accident could be classified into six driving characteristics. By understanding these characteristics, We could establish a proper traffic safety countermeasure for each driving characteristic. The accomplishments of this research are as follows: The first, We could classify the decisive driving characteristics, which cause road traffic acts and traffic accidents, into internal and external causes. The relationship between each driver's characteristic and the occurrence of the road traffic act and traffic accident could be recognized more clearly. We could find the dangerous driver samples who have Accidents proneness. The second, As a result of analyzing the characteristics of these factors, We could sort out and suggest countermeasure for reducing violation of road traffic acts and traffic accidents as a priority countermeasure and complementary countermeasure. Finally, transportation companies most closely related to automobile accidents can judge new personnels on the basis of their driving characteristics before hiring, and also apply this principle to the traffic safety education vigorously.

• The Korean Journal of Nuclear Medicine Technology
• /
• v.18 no.1
• /
• pp.127-133
• /
• 2014

Purpose: Low dose of PET/CT is important because of Patient's X-ray exposure. The aim of this study was to evaluate the effectiveness of low-dose PET/ CT image through the CTAC and QAC of patient study and phantom study. Materials and Methods: We used the discovery 710 PET/CT (GE). We used the NEMA IEC body phantom for evaluating the PET data corrected by ultra-low dose CT attenuation correction method and NU2-94 phantom for uniformity. After injection of 70.78 MBq and 22.2 MBq of 18 F-FDG were done to each of phantom, PET/CT scans were obtained. PET data were reconstructed by using of CTAC of which dose was for the diagnosis CT and Q. AC of which was only for attenuation correction. Quantitative analysis was performed by use of horizontal profile and vertical profile. Reference data which were corrected by CTAC were compared to PET data which was corrected by the ultra-low dose. The relative error was assessed. Patients with over weighted and normal weight also underwent a PET/CT scans according to low dose protocol and standard dose protocol. Relative error and signal to noise ratio of SUV were analyzed. Results: In the results of phantom test, phantom PET data were corrected by CTAC and Q.AC and they were compared each other. The relative error of Q.AC profile was been calculated, and it was shown in graph. In patient studies, PET data for overweight patient and normal weight patient were reconstructed by CTAC and Q.AC under routine dose and ultra-low dose. When routine dose was used, the relative error was small. When high dose was used, the result of overweight patient was effectively corrected by Q.AC. Conclusion: In phantom study, CTAC method with 80 kVp and 10 mA was resulted in bead hardening artifact. PET data corrected by ultra- low dose CTAC was not quantified, but those by the same dose were quantified properly. In patients' cases, PET data of over weighted patient could be quantified by Q.AC method. Its relative difference was not significant. Q.AC method was proper attenuation correction method when ultra-low dose was used. As a result, it is expected that Q.AC is a good method in order to reduce patient's exposure dose.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.776-777
• /
• 2008

It is important to understand the relationship accurately between linkage flux distributions and machine characteristics for better design of multilayer-buried interior permanent magnet synchronous machines(IPMSM). This paper presents a improved calculation method for linkage flux of multilayer-buried IPMSM. From the analysis result, The proposed method shows that the calculated d,q linkage flux reflects a electromagnetic characteristic well in analysis model.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.2
• /
• pp.567-582
• /
• 2014

The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as computing infrastructures, smart devices, social networking and new media, and big data is also an analytic technique itself. Numerous enterprises have grown conscious that big data can be a most significant resource or capability since the issue of big data recently surfaced abruptly in Korea. Companies will be obliged to design their own implementing plans for big data marketing and to customize their own analytic skills in the new era of big data, which will fundamentally transform how businesses operate and how they engage with customers, suppliers, partners and employees. This research employed a Q-study, which is a methodology, model, and theory used in 'subjectivity' research to interpret professional panels' perceptions or opinions through in-depth interviews. This method includes a series of q-sorting analysis processes, proposing 40 stimuli statements (q-sample) compressed out of about 60 (q-population) and explaining the big data marketing model derived from in-depth interviews with 20 marketing managers who belong to major companies(q-sorters). As a result, this study makes fundamental contributions to proposing new findings and insights for small and medium-size enterprises (SMEs) and policy makers that need guidelines or direction for future big data business.