• Korean Journal of Organic Agriculture
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• v.25 no.4
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• pp.711-724
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• 2017

The purpose of this research is to go beyond the policy support of the traditional sixth industry and to build a business model of the farmers' business by establishing the business model of the establishment of the sixth industry utilizing agricultural products of individual farmers. First, we defined the business model of the 6th agricultural industry, and secondly set up two models via FGI based on the 9 block model of BMC (Business Model Canvas), and applied feasibility, cost appropriate, differentiation point Through the establishment of hard-working business, sales consolidation, consumer-centric model set. Third, using the Delphi method in each area of 9 Block, the final 21 components were set. Through this BMC model, it was shown that discrimination and accessibility are important factors in the 6th agricultural field foundation business model.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.134-141
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• 2023

We present a novel method aimed at refining ground truth data through regularization and modification, particularly applicable when working with the original ground truth set. Enhancing the performance of deep neural networks is achieved by applying regularization techniques to the existing ground truth data. In many machine learning tasks requiring pixel-level segmentation sets, accurately delineating objects is vital. However, it proves challenging for thin and elongated objects such as blood vessels in X-ray coronary angiography, often resulting in inconsistent generation of ground truth data. This method involves an analysis of the quality of training set pairs - comprising images and ground truth data - to automatically regulate and modify the boundaries of ground truth segmentation. Employing the active contour model and a recursive ground truth generation approach results in stable and precisely defined boundary contours. Following the regularization and adjustment of the ground truth set, there is a substantial improvement in the performance of deep neural networks.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.9-16
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• 2017

In recent computing systems, LRU replacement policy has been widely used because it can be simply implemented and applicable to most programs. However, if the working set size of the program is bigger than the actual cache size, LRU replacement policy may occur thrashing problem. Thrashing problem means that cache blocks are consistently replaced without re-referencing in the cache. This paper proposes a new cache management scheme to solve the thrashing problem in the second-level cache. The proposed scheme measures per set reuse frequency using EAF structure to find thrashing sets. When the cache miss occurs, it tests whether the address of the missed block is stored or not. If the address of the missed block is stored, it means that the recently evicted block is re-requested, so the reuse frequency is predicted high. In this case, the corresponding counter of the set is increased. When the counter value is bigger than the threshold value, we assume that the corresponding set shows high reuse frequency. The proposed scheme assigns the set with high reuse frequency to the additional small size cache to keep the blocks in the cache for a long time. Our experimental results show that the proposed scheme improves the IPC by 3.81% on average.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.597-606
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• 2012

To increase the productivity and product quality of customized baseball jerseys, this study developed a multi-variable system for a production process that efficiently controls diverse production management factors. The working time was measured through the establishment of a standard process where skilled workers and Chinese factory workers manufactured 5 sets of the same basic design jerseys. Based on the measured working time (1,136 seconds/per unit), the multi-variable process control system was developed, where hourly production management is possible according to the involved workers and equipment types. Each process was assigned accoding to the production management factors for a total of 28 standard processes. The processes were developed based on consideration of work characteristics according to the order of needlework of open-type set baseball jerseys with sleeves(the basic design of baseball jerseys)to result in a customized production system structure that could be set up with multi-variables. As a result, a total 12 types of systems were developed in consideration of the personnel involved and the number of equipments. The optimal production management system (with the highest efficiency compared to the number of workers)was A-2, B-1, C-1. D-2, E-2, F-1, and G-1. This system had extremely high efficiency and showed 99% assignment efficiency for the 7-person team. Though not optimal, possible process assignment for each working personnel is proposed as a reserve process in case work modification is inevitable due to malfunctions and the absence of equipments.

• Transactions of the Korean Society of Automotive Engineers
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• v.20 no.2
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• pp.21-29
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• 2012

A dual loop waste heat recovery system with Rankine steam cycles for the improvement of fuel efficiency of gasoline vehicles has been investigated. A high temperature loop (HT loop) only recovers the heat of the exhaust gas. A low temperature loop (LT loop) recovers the residual heat from the HT loop, the coolant heat and the remaining exhaust gas heat. The two separate loops are coupled with a heat exchanger. This paper has dealt with a layout of the dual loop system, the review of the working fluids, and the design of the cycle. The design point and the target heat recovery of the HT boiler, a core part of a HT loop, have been presented. The prototype of the HT boiler was evaluated by experiment. For the performance evaluation of the HT boiler, inlet temperature of the HT boiler working fluid was set equal to the temperature degree of sub-cool of $5^{\circ}C$ at the condensing pressure. The exit condition was the degree of super-heat set at $5^{\circ}C$. The characteristics of the HT boiler such as heat recovery and pressure drops of fluids were evaluated with varying flow rates and inlet temperatures of exhaust gas under various evaporating pressure conditions.

• Human Ecology Research
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• v.61 no.4
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• pp.521-541
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• 2023

The purpose of this study is to demonstrate the antecedent and consequential factors of satisfaction with the flexible working system. Organizational culture was examined as an antecedent factor, while job satisfaction, work performance, organizational commitment, turnover intention, and quality of life were examined as outcome factors. The data of 2,785 public officials who used the flexible work system in the Korea Institute of Public Administration (2022) data set were analyzed using SPSS 28.0. and PROCESS macro's Model 4. The main research findings are as follows. First, organizational cultures that respect individuality and cooperation, supports management, and aims for work autonomy all positively and significantly affect satisfaction with the flexible working system. When ranking the size of influence by the type of organizational culture, work autonomy, respect for individuality, and a cooperative organizational culture had a positive impact in that order, with work autonomy being the most influential factor. In addition, the public officials' age, job preparation period, self-evaluation of workload, and overtime working hours are significant antecedents of satisfaction with the flexible work system. Second, when examining consequential factors, a high level of satisfaction with the flexible working system affects job satisfaction (+), work performance (+), organizational commitment (+), turnover intention (-), and quality of life (+). Job satisfaction was an especially valid mediator between satisfaction with the flexible working system and other consequential factors, including work performance, organizational commitment, turnover intention, and quality of life.

• Journal of Computing Science and Engineering
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• v.5 no.2
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• pp.111-120
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• 2011

Data mining algorithms should exploit new hardware technologies to accelerate computations. Such goal is difficult to achieve in database management system (DBMS) due to its complex internal subsystems and because data mining numeric computations of large data sets are difficult to optimize. This paper explores taking advantage of existing multithreaded capabilities of multicore CPUs as well as caching in RAM memory to efficiently compute summaries of a large data set, a fundamental data mining problem. We introduce parallel algorithms working on multiple threads, which overcome the row aggregation processing bottleneck of accessing secondary storage, while maintaining linear time complexity with respect to data set size. Our proposal is based on a combination of table scans and parallel multithreaded processing among multiple cores in the CPU. We introduce several database-style and hardware-level optimizations: caching row blocks of the input table, managing available RAM memory, interleaving I/O and CPU processing, as well as tuning the number of working threads. We experimentally benchmark our algorithms with large data sets on a DBMS running on a computer with a multicore CPU. We show that our algorithms outperform existing DBMS mechanisms in computing aggregations of multidimensional data summaries, especially as dimensionality grows. Furthermore, we show that local memory allocation (RAM block size) does not have a significant impact when the thread management algorithm distributes the workload among a fixed number of threads. Our proposal is unique in the sense that we do not modify or require access to the DBMS source code, but instead, we extend the DBMS with analytic functionality by developing User-Defined Functions.

• Korean Journal of Cognitive Science
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• v.19 no.1
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• pp.57-74
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• 2008

This study aimed to investigate the preferential brain activations involed in the set size during random number generation (RNG). The BNG condition gave more increased activations in the anterior cingulate cortex (ACC), inferior frontal gyrus (IFG), inferior parietal lobule (IPL), and superior temporal gyrus (STG) than the simple counting condition, which was a control rendition. When the activations were compared by the small set size condition versus the large set size condition, broad areas covering tempore-occipital network, ACC, and postcentral gyrus were more highly activated in the small set size condition than in the large set size condition, while responses of areas including medial frontal gyrus, superior parietal lobule, and lingual gyrus were more increased in the large set size condition than in the small set size condition. The capacity hypothesis of working memory fails to explain the results. On the contrary, strategy selection hypothesis seems to explain the current observations properly.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.10 no.3
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• pp.361-370
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• 2003

Purpose: This study was done to identify nursing interventions performed by operating room nurses using the Perioperative Nursing Data Set (PNDS). Method: The data were collected from 88 operating room nurses, from August 1 to October 25, 2002 using the PNDS developed by the Association of Operating Room Nurses and translated into Korean. Nurses working in 2 university hospitals in Gwang-ju and 2 general hospitals in Seoul. Data were analyzed using the SPSS program. Result: There were 15 of 127 nursing interventions which the operating room nurses indicated were important and which they performed at least once a day. Conclusion: The operating room nurses consider interventions to prevent physical injury and patient centered care to be very important, but the performance rate for patient centered care was low. It shows that there is a need in education courses for patient centered care to be more strongly emphasized.

• The Korean Journal of Community Living Science
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• v.20 no.2
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• pp.263-274
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• 2009

The objective of this study is to verify work satisfaction of school food-service employee, of their job characteristics. Subjects were comprised 9 elementary schools, 11 middle schools, and 3 high schools in Ansan city. Data were analyzed 203 questionnaires for frequency, means, one-way ANOVA, $Scheff{\acute{e}}$ test, t-test, and Pearson correlation using SPSS PC Package. Most of the respondents were high school graduate(91.1%), under one million won salary(41.9%), and non license holder(60.6%). Working conditions were part-time job(41.9%), unlimited contractors(51.2%), and 3-5 years of working experience(21.7%). Measure of overall job satisfaction by Likert-type 5 scale, satisfaction of work operation attitude was 3.55 points and work characteristic duty of 4.32 points. The certificate qualified and elementary school's working posture were more satisfied their work attitude than other groups(p<0.05). Salary satisfaction score showed 2.64 points, but the work esteem satisfaction showed 3.34 points. The factor of working circumstance and potentiality satisfaction was only 2.61 points, but interpersonal connection and communication satisfaction was 3.50 points. Between job satisfactions factors, they were highly correlated with each other. The pride and characteristic duty of the work showed the strongest correlated(p<0.001). The satisfaction score of work operation attitude were significantly correlated with characteristic duty(p<0.001), work esteem, interpersonal relationships and communication(p<0.01). With this results, work satisfaction of food service employees showed a relatively high to perform a job task characteristics and work attitudes. However, the working environment and growth in salaries satisfaction were low. A set of duties must be paid according to the labor intensity. As removing the disturbing factors, the improvement in the quality of the feed will be able to expect substantial effects.