The purpose of this study was to identify the variables of foodservice employees's job satisfaction. The questionnaires to measure job satisfaction were completed by 323 employees in the Gyunggi province. Foodservice employees' job satisfaction was evaluated by the modified Smith method(1969). All statistical data analyses were conducted using the Statistical Package for the Social Science(SPSS version 12.0). The study results were as follows; 1. The demographic data showed that 65.3% of respondents aged in 40~49 years old, 96% were married, 68.8% were high school graduates, 10.2% were college graduates and 93.5% were contracted employees. 2. Factors that influenced job satisfaction among employees varied significantly. Older workers tended to be more satisfied in their job. In addition, those who had graduated college showed the highest job satisfaction score(3.03). Subjects who had graduated university showed the lowest job satisfaction score(2.05). Subjects who had worked for 2-3 years showed the highest satisfaction scores concerning their relationships with coworkers(3.33), whereas those who had worked less than 2 years showed the lowest (3.14). Regarding school type, employees working in high schools had the highest job satisfaction scores, whereas those working in middle schools had the lowest. Satisfaction of leaving school time, ‘after 4 pm group’ had the highest score(3.01). 3. The correlation between salary satisfaction and job satisfaction was significant(r=0.307, p<0.001). In addition, the correlation between job satisfaction and work satisfaction was also significant(r=0.444, p<0.001). The correlation between job satisfaction and satisfaction about relations with coworkers was significant(r=0.118, p<0.01). The correlation between salary satisfaction and work satisfaction was significant(r=0.308, p<0.001). The correlation between salary satisfaction and satisfaction about relation with coworkers not significant, but it was negative(r=0.307, p<0.001). The correlation between work satisfaction and satisfaction about relations with coworkers significant(r=0.210, p<0.001). According to this study, job satisfaction and salary were positively related. This study provides foodservice managers useful information for design positions that will increase productivity. Future study is needed to determine the factors that will improve job satisfaction and satisfy the employees' needs, which in turn will improve school food service quality.
Recently, construction of reinforced concrete tall buildings is widely increased according to the improvement of material quality and design technology. Therefore, differential shortenings of columns due to elastic, creep, and shrinkage have been an important issue. But it has been neglected to predict the Inelastic behavior of RC structures even though those deformations make a serious problem on the partition wall, external cladding, duct, etc. In this paper, analysis system for prediction and compensation of the differential column shortenings considering time-dependent deformations and construction sequence is developed using the objected-oriented technique. Developed analysis system considers the construction sequence, especially time-dependent deformation in early days, and is composed of input module, database module, database store module, analysis module, and analysis result generation module. Graphic user interface(GUI) is supported for user's convenience. After performing the analysis, the output results like deflections and member forces according to the time can be observed in the generation module using the graphic diagram, table, and chart supported by the integrated environment.
Our purpose is to specify behavior and environmental factors aimed at reducing the exposed dosage caused by PET-CT and to develop radiation safety management guidelines adequate for domestic circumstances. We have used a multistep-multimethod as the methodological approach to design and to carry out the research both in quality and quantity, including an analysis on previous studies, professional consultations and a survey. The survey includes responses from 139 practitioners in charged of 109 PET-CTs installed throughout Korea(reported by the Korean Society of Nuclear Medicine, 2010). The research use 156 questions using Cronbach's ${\alpha}$ (alpha) coefficients which were: 0.818 for "the necessity of setting and installing the radiation protective environment"; 0.916 for "the necessity of radiation protection", "setting and installing the radiation protective environment"; and 0.885 for "radiation protection". The check list, derived from the radiation safety management guidelines focused on behavior and environment, was composed of 20 items for the radiation protective environment: including 5 items for the patient; 4 items for the guardian; 3 items for the radiologist; and 8 items applied to everyone involved; for a total of 26 items for the radiation protective behavior including: 12 items for the patient; 1 item for the guardian, 7 items for the radiologist; and 6 items applied to everyone involved. The specific check list is shown in(Table 5-6). Since our country has no safety management guidelines of its own to reduce the exposed dosage caused by PET-CTs, we believe the guidelines developed through this study means great deal to the field as it is not only appropriate for domestic circumstances, but also contains specific check lists for each target who may be exposed to radiation in regards to behavior and environment.
The Transactions of the Korea Information Processing Society
/
v.7
no.11S
/
pp.3633-3650
/
2000
Internet is no longer a network for special communities but became a global means of communication infrastructure for everyday life. People are exchanging their personal messages using e-mails, students are getting their educational aids through the web, people are buying a variety of goods from cyber shopping malls, and companies are conducting their businesses over the Internet. Recently, such an explosive growth of the traffic in the Internet raised a big concern on how to accommodate ever-changing user's needs in terms of an amount of the traffic, characteristics of the traffic, and various service quality requirements, Over provisioning can be a simple solution but it is too expensive and inefficient. Thus many new technologies to solve this very difficult puzzle have bcen introduced recently, Any single solution, however, can be insufficient and a carefully designed architecture, which integrates a group of solutions, is required. In this paper, we propose a policy-based Internet QoS provisioning, traffic engineering and perfonnance management system as our solution to this problem. Our integrated management QoS solution can provide highly responsive flow-through service provisioning, more realistic service and resource policy control based on the real network performance information, and centralized control of traffic engineering for heterogeneous networks.
The Transactions of the Korea Information Processing Society
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v.4
no.10
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pp.2615-2628
/
1997
In this paper, a new codebook design algorithm is proposed. It uses a DCT map based on two-dimensional discrete cosine of transform (2D DCT) and finite state vector quantizer (FSVQ) when the vector quantizer is designed for image transmission. We make the map by dividing input image according to edge quantity, then by the map, the significant features of training image are extracted by using the 2D DCT. A master codebook of FSVQ is generated by partitioning the training set using binary tree based on tree-structure. The state codebook is constructed from the master codebook, and then the index of input image is searched at not master codebook but state codebook. And, because the coding of index is important part for high speed digital transmission, it converts fixed length codes to variable length codes in terms of entropy coding rule. The huffman coding assigns transmission codes to codes of codebook. This paper proposes single-side growing huffman tree to speed up huffman code generation process of huffman tree. Compared with the pairwise nearest neighbor (PNN) and classified VQ (CVQ) algorithm, about Einstein and Bridge image, the new algorithm shows better picture quality with 2.04 dB and 2.48 dB differences as to PNN, 1.75 dB and 0.99 dB differences as to CVQ respectively.
The Transactions of the Korea Information Processing Society
/
v.6
no.2
/
pp.485-496
/
1999
Comparing with sequential programming, parallel programming has additional complexity due to the consideration of parallelism, communication and synchronization of processes. A synergism between users and compliers should be established, each assisting the other to produce high quality parallel programs. On the above underlying philosophy, we developed a parallel Object-Oriented specification language, POOSL, as preliminary works. However, it is still likely to hard for users to write parallel program because users have to consider grammar of POOSL and to write text-based parallel program. It would be more desirable to provide users wit visual environment for effective parallel programming. Therefore, we propose a visual programming environment. VEPO(Visual environment for Parallel Object-Oriented Programming), based on POOSL in order that users can develop parallel programs more easily and conveniently. It aims at supporting a programming environment in which users can represent their programs more naturally and visually I parallel manner with object-oriented concept and essential steps during parallel program development such as program specification, compilation, execution and animation of execution are integrated. VEPO has useful features for parallel processing. Especially, complicated parallel codes for synchronization and communication of processes are automatically generated in the translation phase, so users can be relieved of writing error-prone parallel codes. The system is targeted to the transputer-based parallel system, MC-3. The graphic user interface of VEPO was implemented using Visual C++. Visual programs descirbed on VEPO are translated into Inmos C and executed on MC-3.
Journal of The Korean Society of Grassland and Forage Science
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v.31
no.3
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pp.243-250
/
2011
This experiment was conducted to evaluate agronomic characteristics, forage quality and dry matter (DM) yield of early-maturing hairy vetch 'Cold green', 'Haymaker plus', 'Cappello' and medium-late maturing cultivar 'Cheong pa', 'Challenger', 'Hungvillosa' and 'Latigo' at Seongju in the Kyeongbuk from 2009 to 2011. The experiment was arranged in randomized complete block design with three replications. Hairy vetchs were seeded on Sep. 26 and Oct. 11 in 2009 and 2010. Vetch plants were harvested on 30 Apr. in 2010 and 2011. Cold tolerance for Haymaker plus and Cappello were a little lower than other cultivars. Fifty percent-flowering dates of Cold green had earlier than others and Haymaker plus and Cappello were earlier than Cheong pa, Challenger, Hungvillosa and Latigo. Cheong pa and Challenger were ealirer than Hungvillosa and Latigo. The DM yield of Cold green was the highest (p<0.05) of the cultivar except Haymaker plus. Haymaker plus was higher (p<0.05) than others and Cappello, Cheong pa, Challenger were higher (p<0.05) than Hungvillosa and Latigo in 2010. In 2011, the DM yield of Cold green was the highest (p<0.05) of the cultivar and Haymaker plus was higher (p<0.05) than others. Cappello was higher (p<0.05) than Hungvillosa and Latigo. Cheong pa and Challenger were higher (p<0.05) than Latigo. Vetch cultivar was high in crude protein (CP) and low in Acid detergent fiber (ADF). According to the results obtained from this study, it is suggested that early-maturing cultivar would be recommendable for fall sown vetch for DM production.
Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.
The safety interval to prevent collision between trains in a train control system is based on the braking distance according to the emergency braking of the train. The evaluation of the braking performance is based on the longitudinal train dynamics or the commissioning test in the test track, but since the conditions such as the weakening of the adhesion coefficient between the wheel and rail can not all be considered, these conventional methods are not sufficient to design of the train control systems. Therefore, in this study, the Monte Carlo Method (MCM) which can consider various environments is used to analyze braking performance and limitations. The braking model is based on the air braking used in the emergency braking and is modeled to take into account the braking pressure, efficiency, friction coefficient, adhesion condition, and vehicle mass distribution. It is confirmed that braking performance can be improved by controlling the quality of braking device. In addition, the change of the braking performance was confirmed according to the vehicle constituting the train. The results of this study are expected to be used as basic information for designing safety clearance for the train control systems and as a basis for improving the braking performance of railway vehicles.
The study attempted to systematically and comprehensively analyze individual studies in which proprioceptive neuromuscular facilitation (PNF) was performed with chronic stroke patients. Selection criteria included type of participants (stroke patients), intervention (PNF), comparison (intervention group or non-intervention group), outcomes (effect on dynamic balance), and study design (randomized controlled trial). We searched seven literature databases, and selected 17 papers that met our selection criteria. For meta-analysis, effect size of each individual study was extracted using the R project for Statistical computing version 4.0.3. Rob 2.0 tool, developed by the Cochrane group, was used to evaluate the quality of each individual study. The overall effect size PNF with dynamic balance was 0.59 (95% CI=0.41-1.77), which was significantly different than the median effect size (p<0.05). The sub-group for dynamic balance was analyzed, for effect sizes of BBS (0.50), TUG (0.78), and FRT (0.51). Thus, PNF intervention has a positive impact on improve of dynamic balance by chronic stroke patients.
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