• Title/Summary/Keyword: short-rate models

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A Study on the impact of internal marketing action on food industry employers사 job satisfaction (내부마케팅활동이 외식종사원의 직무만족에 미치는 영향)

  • 우문호
    • Journal of Applied Tourism Food and Beverage Management and Research
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    • v.12 no.2
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    • pp.59-78
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    • 2001
  • The domestic food service industry has established its industrial basis since the overseas brands were introduced and international events were held in Korea. It also has showed a prominent growth rate as consumers began to show more interests in leisure and quality of working life(QWL) At this, the employees, constituting Points of contacts with consumers of the food service industry, have emerged as a Primarily critical concern in order for the food service industry, which can affect people in various ways, to adopt our own food culture and develop its business quality. In the food service industry, as a relatively labour-intensive industry, the manpower service is considered very important. Whether the industry succeeds or not depends on the role of employees as the quality of service of employees can decide the quality of the industry itself. In spite of the importance of employees in the food service industry, not many researches have been Performed on the personnel management of the industry, as Koreans traditionally have hold a prejudiced view on the food service industry and it is only a short time since the food business began to be considered as an industry. This thesis aims at research on the factors affecting job satisfaction of the employees by dealing with the importance and characteristics of the role of employees of the food service industry and theoretical background of the job satisfaction. The presumable factors affecting the job satisfaction are divided into several groups ; characteristics of organization, working condition, human relationship, psychological factors, and its reputation in the labour market. Hypotheses and models, where those factors affect the employees, are formed. Statistical methods such as correlation analysis and multiple regression are used in order to verify those hypotheses. Alternatives to improve job satisfaction of employees are suggested based on the analysis. It is expected that there will be more active researches on employees of the food service industry, as this thesis has selected employees of the food service industry as its subjects while subjects of similar researches have been mainly hotel employees so far.

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A Study on the Seoul Apartment Jeonse Price after the Global Financial Crisis in 2008 in the Frame of Vecter Auto Regressive Model(VAR) (VAR분석을 활용한 금융위기 이후 서울 아파트 전세가격 변화)

  • Kim, Hyun-woo;Lee, Du-Heon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6315-6324
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    • 2015
  • This study analyses the effects of household finances on rental price of apartment in Seoul which play a major role in real estate policy. We estimate VAR models using time series data. Economy variables such as sales price of apartment in Seoul, consumer price index, hiring rate, real GNI and loan amount of housing mortgage, which relate to household finances and influence the rental price of apartment, are used for estimation. The main findings are as follows. In the short term, the rental price of apartment is impacted by economy variables. Specifically, Relative contributions of variation in rental price of apartment through structural shock of economy variables are most influenced by their own. However, in the long term, household variables are more influential to the rental price of apartment. These results are expected to contribute to establish housing price stabilization policies through understanding the relationship between economy variables and rental price of apartment.

H/V Spectral-ratio Analysis of Microtremors in Jeju Island (제주도 상시미동의 H/V 스펙트럼비 분석)

  • Hong, Myung-Ho;Kim, Ki-Young
    • Geophysics and Geophysical Exploration
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    • v.13 no.2
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    • pp.144-152
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    • 2010
  • To study the thickness variation of volcanic rocks of Jeju Island, microtremor data were recorded at eight and four sites using short-period and broadband seismometers, respectively, for 30 ~ 60 minutes with a 100 Hz sampling rate. During the daytime, these records show increased cultural noise at frequencies above 1.8 Hz. Natural noise occurs in the frequency range of 0.4 to 0.8 Hz in both daytime and nighttime data. Predominant frequencies determined by the H/V spectral-ratio method are in the range of 0.2 ~ 0.7 Hz. These frequencies decrease gradually as the central part of the Mt. Halla is approached. This may indicate that the basement is warped downward beneath the center of the island, which is consistent with previous gravimetric and magnetic models. Assuming an average shear-wave velocity of 1,800 m/s for the overburden basalts, the depths to basement are estimated to be between 640 and 2,140 m.

Effective Process Parameters on Shape Dimensional Accuracy in Incremental Sheet Metal Forming (점진성형에서 형상 정밀도에 영향을 미치는 공정 변수)

  • Kang, Jae-Gwan;Jung, Jong-Yun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.177-183
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    • 2015
  • Incremental sheet metal forming is a manufacturing process to produce thin parts using sheet metals by a series of small incremental deformation. The process rarely needs dedicated dies and molds, thus, preparation time for the process is relatively short as to be compared to conventional metal forming. Spring back in sheet metal working is very common, which causes critical errors in dimensions. Incremental sheet metal forming is not fully investigated yet. Hence, incremental sheet metal forming frequently produces inaccurate parts. This paper proposes a method to minimize dimensional errors to improve shape accuracy of products manufactured by incremental forming. This study conducts experiments using an exclusive incremental forming machine and the material for these experiments are sheets of aluminum AL1015. This research defines a process parameter and selects a few factors for the experiments. The parameters employed in this paper are tool feed rate, tool diameter, step depth, material thickness, forming method, dies applied, and tool path method. In addition, their levels for each factor are determined. The plan of the experiments is designed using orthogonal array $L_8$ ($2^7$) which requires minimum number of experiments. Based on the measurements, dimensional errors are collected both on the tool contacted surfaces and on the non-contacted surfaces. The distances between the formed surfaces and the CAD models are scanned and recorded using a commercial software product. These collected data are statistically analyzed and ANOVAs (analysis of variances) are drawn up. From the ANOVAs, this paper concludes that the process parameters of tool diameter, forming depth, and forming method are the significant factors to reduce the errors on the tool contacted surface. On the other hand, the experimental factors of forming method and dies applied are the significant factors on the non-contacted surface. However, the negative forming method always produces better accuracy than the positive forming method.

Percutaneous Dilatational Tracheostomy in a Cardiac Surgical Intensive Care Unit: A Single-Center Experience

  • Vignesh Vudatha;Yahya Alwatari;George Ibrahim;Tayler Jacobs;Kyle Alexander;Carlos Puig-Gilbert;Walker Julliard;Rachit Dilip Shah
    • Journal of Chest Surgery
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    • v.56 no.5
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    • pp.346-352
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    • 2023
  • Background: A significant proportion of cardiac surgery intensive care unit (CSICU) patients require long-term ventilation, necessitating tracheostomy placement. The goal of this study was to evaluate the long-term postoperative outcomes and complications associated with percutaneous dilatational tracheostomy (PDT) in CSICU patients. Methods: All patients undergoing PDT after cardiac, thoracic, or vascular operations in the CSICU between January 1, 2013 and January 1, 2021 were identified. They were evaluated for mortality, decannulation time, and complications including bleeding, infection, and need for surgical intervention. Multivariable regression models were used to identify predictors of early decannulation and the complication rate. Results: Ninety-three patients were identified for this study (70 [75.3%] male and 23 [24.7%] female). Furthermore, 18.3% of patients had chronic obstructive pulmonary disease (COPD), 21.5% had history of stroke, 7.5% had end-stage renal disease, 33.3% had diabetes, and 59.1% were current smokers. The mean time from PDT to decannulation was 39 days. Roughly one-fifth (20.4%) of patients were on dual antiplatelet therapy and 81.7% had anticoagulation restarted 8 hours post-tracheostomy. Eight complications were noted, including 5 instances of bleeding requiring packing and 1 case of mediastinitis. There were no significant predictors of decannulation prior to discharge. Only COPD was identified as a negative predictor of decannulation at any point in time (hazard ratio, 0.28; 95% confidence interval, 0.08-0.95; p=0.04). Conclusion: Percutaneous tracheostomy is a safe and viable alternative to surgical tracheostomy in cardiac surgery ICU patients. Patients who undergo PDT have a relatively short duration of tracheostomy and do not have major post-procedural complications.

KOSPI index prediction using topic modeling and LSTM

  • Jin-Hyeon Joo;Geun-Duk Park
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.73-80
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    • 2024
  • In this paper, we proposes a method to improve the accuracy of predicting the Korea Composite Stock Price Index (KOSPI) by combining topic modeling and Long Short-Term Memory (LSTM) neural networks. In this paper, we use the Latent Dirichlet Allocation (LDA) technique to extract ten major topics related to interest rate increases and decreases from financial news data. The extracted topics, along with historical KOSPI index data, are input into an LSTM model to predict the KOSPI index. The proposed model has the characteristic of predicting the KOSPI index by combining the time series prediction method by inputting the historical KOSPI index into the LSTM model and the topic modeling method by inputting news data. To verify the performance of the proposed model, this paper designs four models (LSTM_K model, LSTM_KNS model, LDA_K model, LDA_KNS model) based on the types of input data for the LSTM and presents the predictive performance of each model. The comparison of prediction performance results shows that the LSTM model (LDA_K model), which uses financial news topic data and historical KOSPI index data as inputs, recorded the lowest RMSE (Root Mean Square Error), demonstrating the best predictive performance.

The Behavioral Analysis of the Trading Volumes of Gwangyang Port: Comparison with Incheon and Pyeongtaek-Dangjin Port (광양항의 물동량 행태분석: 인천항, 평택.당진항과 비교)

  • Mo, Soowon
    • Journal of Korea Port Economic Association
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    • v.28 no.3
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    • pp.111-125
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    • 2012
  • This study investigates the behavioral characteristic difference of the container volumes of three ports-Gwangyang, Incheon, and Pyeongtaek-Dangjin. All series span the period January 2003 to December 2011. I first test whether the series are stationary or not. I can reject the null hypothesis of a unit root in each of the level variables and of a unit root for the residuals from the cointegration at the 5 percent significance level. I hitherto make use of error-correction model and find that Gwangyang port is the slowest in adjusting the short-run disequilibrium, whereas the adjustment speed of Incheon is much faster than that of Gwangyang. The impulse response functions indicate that container volumes increase only a little to the negative shocks in exchange rate, while they respond positively to the shocks in the business activity in a great magnitude and decay very slowly to its pre-shock level. meaning that the shocks last very long. The accumulative response to the exchange rate increase of 20 won per dollar and the 5 point industrial production increase is the smallest in Gwangyang, no more than a half of that of two ports. The intervention-ARIMA models also forecast that Gwangyang port will have much lower growth rate than Incheon and Pyeongtaek-Dangjin port in trading volumes.

Performance Comparison of Machine Learning based Prediction Models for University Students Dropout (머신러닝 기반 대학생 중도 탈락 예측 모델의 성능 비교)

  • Seok-Bong Jeong;Du-Yon Kim
    • Journal of the Korea Society for Simulation
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    • v.32 no.4
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    • pp.19-26
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    • 2023
  • The increase in the dropout rate of college students nationwide has a serious negative impact on universities and society as well as individual students. In order to proactive identify students at risk of dropout, this study built a decision tree, random forest, logistic regression, and deep learning-based dropout prediction model using academic data that can be easily obtained from each university's academic management system. Their performances were subsequently analyzed and compared. The analysis revealed that while the logistic regression-based prediction model exhibited the highest recall rate, its f-1 value and ROC-AUC (Receiver Operating Characteristic - Area Under the Curve) value were comparatively lower. On the other hand, the random forest-based prediction model demonstrated superior performance across all other metrics except recall value. In addition, in order to assess model performance over distinct prediction periods, we divided these periods into short-term (within one semester), medium-term (within two semesters), and long-term (within three semesters). The results underscored that the long-term prediction yielded the highest predictive efficacy. Through this study, each university is expected to be able to identify students who are expected to be dropped out early, reduce the dropout rate through intensive management, and further contribute to the stabilization of university finances.

Diagnostic Performance of Routine Objective Tests and Cost-Effective Approach for Chronic Cough (만성 기침의 진단 성적과 경제적 접근 모델)

  • Jeon, Gang;Jang, Seung Hun;Song, Hae Geun;Ha, Jun-Wook;Eom, Kwang-Seok;Bahn, Joon-Woo;Kim, Dong-Gyu;Shin, Tae Rim;Park, Sang Myon;Park, Yong Bum;Kim, Chul-Hong;Hyun, In-Gyu;Jung, Ki-Suck
    • Tuberculosis and Respiratory Diseases
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    • v.57 no.6
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    • pp.535-542
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    • 2004
  • Background : Despite the clinical clues of bronchial asthma, some chronic coughers fail to be diagnosed due to negative test results. This study was aimed at evaluating the diagnostic performance of routine objective tests and identifying a cost-effective approach for asthmatics with a chronic cough. Methods : Patients with a chronic cough of more than 3 weeks duration, and showing normal chest radiograph and spirometry were enrolled. On the first visit, objective tests, composed of serum total IgE, peripheral blood eosinophil count, spontaneous sputum eosinophil count, methacholine bronchial provocation test (MBPT) and paranasal sinus radiograph, were performed, with the simultaneous administration of oral prednisolone (0.5mg/kg) for one week. The final diagnoses were made on the basis of the test results, and the patients grouped according to their steroid responsiveness. The role of the etiologic diagnosis tests was evaluated, and the medical costs of the final management plan simulated with respect to three assumed models. Results : Sixty chronic coughers were finally analyzed. The final diagnoses were as follows: bronchial asthma 21.7%, eosinophilic bronchitis 6.7%, paranasal sinusitis 18.3%, presumptive allergy 8.3% and non-diagnostic case 45.0%. Ninety percent were steroid responder. With the bronchial asthma cases, the positive rate of MBPT was 38.5%, with sputum eosinophil count in 84.6%, serum total IgE in 38.5%, and a peripheral blood eosinophil count rate of 30.8%. When the test results and steroid responsiveness data were applied to the 3 models, the chest radiograph, spirometry, sputum eosinophil count and paranasal sinus radiograph test results, and simultaneous short term steroid treatment seemed to have acceptable diagnostic performances, which could be used as a further guide to cost-effective planning. Conclusion : Objective tests, composed of chest radiograph, spirometry, paranasal sinus radiograph and sputum eosinophil count, with simultaneous short term steroid treatment, are suggested as cost-effective approaches for asthmatics with a chronic cough.

Measurement of $\textrm{CO}_2$ Concentration and Leaf Area Index for Crop Photosynthesis Model in Sweet Pepper (단고추의 작물 광합성 모델을 위한 $\textrm{CO}_2$ 농도와 엽면적지 수 측정)

  • Lee, Beom-Seon;Chung, Soon-Ju;Jang, Hong-Gi
    • Journal of Bio-Environment Control
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    • v.8 no.3
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    • pp.192-201
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    • 1999
  • This study was aimed to introduce the measurement of $CO_2$ concentration and leaf area index in the phytotron for predicting the effect of CO.E, light and leaf area index on the instantaneous photosynthetic rate of sweet pepper with the existing ASKAM model. Measurements were made in 2 semi-closed phytotron compartments in which three different $CO_2$ concentrations were applied at random. Plants were grown on containers with circulating nutrient solution at 21$^{\circ}C$ and 80-95% relative humidity. The model estimates crop net $CO_2$ uptake for short time intervals during the day based on short-term data of daily radiation, temperature and $CO_2$ concentration. During the photosynthesis measurements, $CO_2$ concentrations in both compartments and in the basement were measured every minute. This was also done for the flow of pure $CO_2$ into the compartment, global radiation, photosynthetic active radiation inside the compartment, temperature and relative humidity. Crop growth models summarize our knowledge on crop behavior and have as such a wide range of applications in analysis, crop management and thus as a farm management tool.

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