• Journal of the Korean Society for Precision Engineering
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• v.19 no.9
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• pp.111-117
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• 2002

In most machining companies, operators decide the cutting condition, a pair of spindle speed (5) and table federate (F) by experience and subjective judgment. As cutting conditions are determined by operators' experience and ability, inconsistent cutting conditions are given in same operating conditions. The objective of this study is to develop the cutting condition decision system which utilizes shop data and predicts tool life by neural network and eventually leads to the optimal cutting condition. The production time per piece is considered for an optimization object. We will discuss the process of an optimal cutting condition decision by neural network. By this process, a series of shop data is stored. And neural network is constructed for prediction of tool life and the optimal cutting condition is recommended from a cutting condition decision system using the stored shop data. The results show that the developed system is rational in searching the optimal cutting conditions on job operations.

• Agribusiness and Information Management
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• v.1 no.1
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• pp.63-83
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• 2009

This study was performed to investigate the status of using agricultural information and develope desirable strategy to offer agricultural information for leaf vegetables farmers. 187 farmers are surveyed to collect data. Many farmers get agricultural information through various channel. They satisfied with agricultural information contents, rightness of time but dissatisfied with the easiness of gain, fitness of information relatively. And the mean score of farmer's information needs on agricultural information were higher than that of theoretical mean. relatively high items were new seed information, technology of cultivation, pesticide purchase and prevention, laborer finding, consumer information, the trend of leaf vegetables price, marketing place, government's agricultural policy and laws etc. To make farmers get information easily, we recommend to gather information at one place and provide them on internet portal site composed with information related for paddy rice farmers. To make desirable information service system, farmers should bring up their internet searching ability, and agricultural extension officers in count/city have to make effort to provide useful information more often by various communication methods such as visiting farmers, using internet or e-mail service, pamphlet, and so on.

• Environmental Engineering Research
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• v.22 no.2
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• pp.175-185
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• 2017

As the energy and environmental problems are increasingly severe, researches about carbon dioxide emissions has aroused widespread concern. The accurate prediction of carbon dioxide emissions is essential for carbon emissions controlling. In this paper, we analyze the relationship between carbon dioxide emissions and influencing factors in a comprehensive way through correlation analysis and regression analysis, achieving the effective screening of key factors from 16 preliminary selected factors including GDP, total population, total energy consumption, power generation, steel production coal consumption, private owned automobile quantity, etc. Then fruit fly algorithm is used to optimize the parameters of least squares support vector machine. And the optimized model is used for prediction, overcoming the blindness of parameter selection in least squares support vector machine and maximizing the training speed and global searching ability accordingly. The results show that the prediction accuracy of carbon dioxide emissions is improved effectively. Besides, we conclude economic and environmental policy implications on the basis of analysis and calculation.

• Culinary science and hospitality research
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• v.4
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• pp.167-187
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• 1998

The human resources play an important role in a hotel cooking department. The object of this study is to gain basic data for searching an effective human resources management method of cooking department in the hotel. To achieve this object, I proceeded like this. In the second chapter, I exerted myself to arrange the theoretical system on the content of the human resources management through an internal and external philological research. In the third chapter, I established conceptional research model to study factual research and three hypotheses. And I made all high-grade hotel cooking employee in Taegu and Kyung-Buk answer an questionnaire, so practiced interrelation analysis and dispersion analysis according to research hypothesis. The results are as follows. First, the result of hypothesis 1 was that three was rather a high interrelation between the human resources management factor of cooking department and its overall evaluation. Second, the result of hypothesis 2 was that three was a significant difference about the overall evaluation of cooking business management according to the position demographically. Third, the result of hypothesis 3 was that there was a significant difference according to the scholastic ability, position and the district of hotel in the demographical evaluation of human resources management factor. The limits of this study were that first, I defined the subject as the cook employee of high-grade hotel in Taegu and Kyung-Buk, second, I utilized partial variance among many variances affecting human resources management. Therefore after this study, these limits much be overcomed and multiple and scientific study must be accomplish. So human resources of cooking department in the hotel must improve more.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.12
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• pp.1021-1026
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• 2016

The graph-based SLAM (Simultaneous Localization and Mapping) approach has been gaining much attention in SLAM research recently thanks to its ability to provide better maps and full trajectory estimations when compared to the filtering-based SLAM approach. Even though graph-based SLAM requires batch processing causing it to be computationally heavy, recent advancements in optimization and computing power enable it to run fast enough to be used in real-time. However, data association problems still require large amount of computation when building a pose graph. For example, to find loop closures it is necessary to consider the whole history of the robot trajectory and sensor data within the confident range. As a pose graph grows, the number of candidates to be searched also grows. It makes searching the loop closures a bottleneck when solving the SLAM problem. Our approach to alleviate this bottleneck is to sample a limited number of pose nodes in which loop closures are searched. We propose a heuristic for sampling pose nodes that are most advantageous to closing loops by providing a way of ranking pose nodes in order of usefulness for closing loops.

• Animal cells and systems
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• v.16 no.4
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• pp.343-349
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• 2012

A variety of fish species undergo an ontogenetic change in prey selectivity, and several potentially interacting factors, including nutrient requirement, microhabitat change, and foraging ability, may account for the occurrence of the shift. Here we examine the foraging ecology and ontogenetic diet shift of a micro-carnivorous goby, Pterogobius elapoides (serpentine goby), dominant component of fish assemblage in shallow rocky areas off the coast in Korea and Japan. Although most other gobies are primarily benthic carnivores, P. elapoides is a semipelagic fish; however, little is known about how those species change their foraging tactics with growth. In our diet analyses, the most common diet was pelagic copepods and benthic amphipods, and diet shift was observed from pelagic to benthic with growth. The ontogenetic diet shift seems to be the result of the preference for energetically more profitable prey in larger-size classes as well as the results of different prey availability due to among-habitat variation in diet. However, differential food preference does not appear to affect individual scope for searching food. Several factors such as predation pressures and interspecific resource partitioning might contribute to the changes in diet observed among size classes, which were included in our ongoing tests.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.6
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• pp.762-770
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• 2013

Korean military is currently using and operating a precision approach and landing system, called RAPCON (ASR/PAR), which is imported from overseas. However, drawbacks of this system are operational and cost problems that come along, e.g. straightness of the radio waves, limited ability of narrow searching, lack of interoperability, and high cost of installation and maintenance. Moreover, as the civilian air traffic control uses a similar system compared to the military, the so called DME/VOR/ILS, disturbance between these two systems triggered the consideration of GNSS as alternative system. In this paper, we conduct a research on trends in the field of precise approach and landing systems based on GNSS, analyze weaknesses of GNSS(jamming, fault) and consider possible solutions. Furthermore, we propose the precise approach and landing system based on GNSS to be used by the Korean military as we found it to be also suitable for military purposes. Finally, we examine the benefits of a domestic development with different focuses(development/cost of mass production/operational advantages and potential for increased performance).

• Journal of Korean Clinical Health Science
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• v.10 no.2
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• pp.1600-1606
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• 2022

Objective: This study was to compares and analyzes programs applied to improve cognitive function in patients with mild cognitive impairment and early dementia in the community to find out their effectiveness. Methods: In this study, 12 papers were finalized by searching for "elderly", "cognitive", "community", and "program" using the database of the Research Information System (RISS), National Assembly Library, and Korean Studies Information (KISS). Results: Programs for cognitive function were in the order of cognitive stimulation program, arts and crafts, and exercise program. In the program, rather than applying the cognitive stimulation program alone, the program was operated by combining leisure or exercise, music, art, and handicraft. The time was shown to be 30 minutes. The most frequently used evaluation tool was MMSE, followed by GDS and BBS. By cognitive domain, cognitive stimulation program and memory, satisfaction in psychology, and balance ability in exercise were evaluated the most. In the cognitive area, various cognitive stimulation areas were included, and in the exercise area, basic exercise, muscle strength exercise, joint exercise, and balance exercise were applied. Conclusion: Therefore, developing a program to improve cognitive function for mild cognitive impairment, it will be possible to prepare guidelines to establish and development.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.9-15
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• 2012

The purpose of this study was to investigate the effects of the secondary tasks such as sending text message (STM) and searching navigation (SN) on skin conductance level (SCL) and driving performance of relatively aged and high-experienced drivers. The subjects included 26 taxi drivers; 12 males aged $56.3{\pm}4.4$ with $28.4{\pm}6.4$ years of driving experiences and 14 females aged $55.5{\pm}3.5$ with $19.4{\pm}5.0$ years of driving experiences. All subjects were instructed to keep a constant following distance (30m) from the car ahead and a given vehicle speed (80km/h or 100km/h) in a driving simulator. The relative change of SCL, vehicle velocity deviations, and average following distances were measured during driving only and driving with secondary tasks. The relative change of SCL, average following distance, and vehicle velocity deviation were more increased during the driving with secondary tasks than driving only. The relative change of SCL, vehicle velocity deviation, and average following distance were more affected by driving with 100km/hr than 80km/hr of a given vehicle speed. Secondary tasks increased a work load of drivers in term of SCL change, and decreased driving performance in terms of the vehicle velocity deviation and average following distance.

• Journal of KIISE
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• v.45 no.1
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• pp.53-60
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• 2018

This study describes a spatial web object retrieval system using Spark, an in - memory based distributed processing system. Development of social networks has created massive amounts of spatial web objects, and retrieval and analysis of data is difficult by using exist spatial web object retrieval systems. Recently, development of distributed processing systems supports the ability to analyze and retrieve large amounts of data quickly. Therefore, a method is promoted to search a large-capacity spatial web object by using the distributed processing system. Data is processed in block units, and one of these blocks is converted to RDD and processed in Spark. Regarding the discussed method, we propose a system in which each RDD consists of spatial web object index for the included data, dividing the entire spatial region into non-overlapping spatial regions, and allocating one divided region to one RDD. We propose a system that can efficiently use the distributed processing system by dividing space and increasing efficiency of searching the divided space. Additionally by comparing QP-tree with R-tree, we confirm that the proposed system is better for searching the spatial web objects; QP-tree builds index with both spatial and words information while R-tree build index only with spatial information.