• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.199-200
• /
• 2011

Load forecasting is very important for power system analysis and planning. This paper suggests yearly load forecasting of considering weekly normalization and seasonal load characteristics. Each weekly peak load is normalized and the average value is calculated. The new hourly peak load is seasonally collected. This method was used for yearly load forecasting. The results of the actual data and forecast data were calculated error rate by comparing.

• The Korean Journal of Physiology
• /
• v.1 no.1
• /
• pp.121-130
• /
• 1967

Determination of weekly and daily energy expenditure was made on 62 Republic of Korea Army cadets who were selected at random in order to estimate the weekly and daily ealorie expenditure. Basal metabolic rate (B.M.R.), and energy cost of various military and daily activities were measured by indirect calorimetry using open circuit method. Time-motion studies were also carried on using a stop-watch. The total weekly energy expenditure was calculated by summation of data using energy cost per minute, and the time spent on each activity. Determination of daily energy expenditure was deduced from each data of weekly energy expenditure. Food survey was also carried on for a week, and daily calorie intake was determined by a weekly average discounting loss in cooking. All measurements were determined from the Standard Table of Food Composition published by the Ministry of National Defense (1961). Following data were observed. 1. Physical status of cadets are as follows. Please note that the height and weight averages are 1-2cm and 4-5kg respectively over that of the Seoul National University students. First year Height 167.92 cm $(S.D.{\pm}4.09)$ Weight 61.72 kg $(S.D.{\pm}4.53)$ Second year Height 167.89 cm $(S.D.{\pm}3.46)$ Weight 63.01 kg $(S.D.{\pm}4.61)$ Third year Height 168.15 cm $(S.D.{\pm}4.24)$ Weight 43.48 kg $(S.D.{\pm}5.03)$ Fourth year Height 168.10 cm $(S.D.{\pm}3.70)$ Weight 64.02kg $(S.D.{\pm}5.10)$ 2. The B.M.R. of cadets averaged $36.57\;Cal./m^2/hr.(S.D.{\pm}3.63\;Cal./m^2/hr.)$ is almost equal with data on the same ages of civilians and the Japanese, but a lower average of $5.1\;Cal./m^2/hr.$ than that of a common soldier. 3. The energy expenditure during various military activities is close agreement with Consolazio. Passmore and Durnin, and Japanese reports.

• Journal of Distribution Science
• /
• v.11 no.5
• /
• pp.33-41
• /
• 2013

Purpose - Yard inventories increase when export containers are carried into the terminal and decrease when import containers are delivered to the consigners. The purpose of this study is to analyze container inventories according to the weekly ship arrival pattern at container terminals. Research design, data, and methodology - As container ships operate according to weekly schedules based on shipping companies and their routes, specific terminals provide a fixed-day service in a week. Thus, yard inventories can change with weekly fluctuations. The data used in this study were the actualdata at specific container terminals. Result - The dwell times of each container at a terminal represent an important variable that affectsyard inventories. Even cargo flows are steady in a given period, if dwell times are prolonged, yard inventories increase. Conclusion - Dwell time is another factor causing yard inventory change. Therefore, the calculation for yard inventories should consider the weekly ship arrival patterns and dwell times of each container. Further, at the planning stage, dwell time should be more carefully considered to calculate yard capacity.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.4
• /
• pp.1617-1623
• /
• 2016

Cisplatin-based concurrent chemoradiation plays an undisputed key role as definitive treatment in unresectable patients with locally advanced squamous cell carcinoma head and neck or as an organ preservation strategy. Treatment with 100 mg/m2 3-weekly cisplatin is considered the standard of care but is often associated with several adverse events. The optimum drug schedule of administration remains to be defined and presently, there is insufficient data limiting conclusions about the relative tolerability of one regimen over the other. This review addresses regarding the optimal dose schedule of cisplatin focusing mainly on three-weekly and weekly dose of cisplatin based concurrent chemoradiotherapy in locally advanced head and neck cancer with an emphasis on mucositis, dermatitis, systemic toxicity, compliance, and treatment interruptions. To derive a definitive conclusion, large prospective randomized trials are needed directly comparing standard 3-weekly cisplatin ($100mg/m^2$) with weekly schedule ($30-40mg/m^2$) of concurrent cisplatin based chemoradiotherapy in locally advanced squamous cell carcinoma head and neck.

• The Journal of Information Systems
• /
• v.31 no.3
• /
• pp.197-220
• /
• 2022

Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV²) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.48 no.4
• /
• pp.365-370
• /
• 1999

This paper describes the Weekly Load Forecasting Expert System(Named WLoFy) which was developed and implemented for Korea Electric Power Corporation(KEPCO). WLoFy was designed to provide user oriented features with a graphical user interface to improve the user interaction. The various forecasting models such as exponential smoothing, multiple regression, artificial nerual networks, rult-based model, and relative coefficient model also have been included in WLofy to increase the forecasting accuracy. The simulation based on historical data shows that the weekly forecasting results form WLoFy is an improvement when compared to the results from the conventional methods. Especially the forecasting accuracy on special days has been improved remakably.

• Journal of the Korea Safety Management & Science
• /
• v.12 no.4
• /
• pp.265-272
• /
• 2010

This study examined the relative effects of weekly and daily group feedback on the customer service behaviors in a gas station. Participants were four employees providing full services to the customers. Four target service behaviors, which were identified from the job description for the employees, served as the dependent variables. The data were collected by a supervisor. The independent variable was the frequency of group feedback on the four service behaviors: weekly and daily group feedback. An ABC within group design was adopted. After baseline (A), the weekly group feedback condition (B) was introduced. In the next phase, the daily group feedback condition (C) was introduced. Both weekly and daily group feedback were presented in a graph form and posted at a conspicuous location. Results showed that both weekly feedback and daily feedback conditions were effective in increasing the target behaviors. And, there was difference in the effects between the two conditions.

• Journal of Periodontal and Implant Science
• /
• v.33 no.1
• /
• pp.103-111
• /
• 2003

Tooth mobility is an important part of a periodontal examination and represents a function of the persisting height of the alveolar bone and the width of the periodontal ligament. The purpose of this study was to evaluate the changes of the tooth mobility over 4 week-period following surgical therapy on the periodontal disease. Thirty five patients presenting with moderate periodontal pockets were selected and tooth mobility was measured at weekly intervals using Periotest (Siemens Co., Germany) beginning at the pre-operation examination and ending four weeks following the modified Widman Flap. All data were statistically analyzed using the one-way ANOVA test. The results were obtained as follows; 1. All teeth exhibited the greatest change in mobility at 1 week post-op, mobility generally decreasing with time. 2. Comparison of the weekly tooth mobility data regarding the 1st premolars showed significant differences only between weeks 1 (9.94) and 4 (6.14) (p<0.05). 3. Comparison of the weekly tooth mobility data regarding the 1st molar showed significant changes in the intervals between pre-op (6.49) and week 1 (11.22), pre-op and week 2 (9.37), weeks 1 and 3 (7.65), weeks 1 and 4 (5.62), and weeks 2 and 4 (p<0.05). 4. Comparison of the weekly tooth mobility data regarding the 2nd premolar and 2nd molar showed significant differences between pre-op (6.91, 8.60) and week 1 (11.02, 12.62), weeks 1 and 3 (8.00, 8.05), weeks 3 ad 4 (6.22, 6.71), and weeks 2 (9.34, 11.01) and 4 (p<0.05).

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.7
• /
• pp.1-15
• /
• 2022

Combining the strength of both Mixed Data Sampling (MIDAS) Regression and realized variance measures, this paper seeks to investigate two objectives: (1) evaluate the post-sample performance of the proposed weekly Realized Variance-MIDAS (RVar-MIDAS) in one-week ahead volatility forecasting against the established Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and the less explored but robust STES (Smooth Transition Exponential Smoothing) methods. (2) comparing forecast error performance between realized variance and squared residuals measures as a proxy for actual volatility. Data of seven private equity mutual fund indices (generated from 57 individual funds) from two different time periods (with and without financial crisis) are applied to 21 models. Robustness of the post-sample volatility forecasting of all models is validated by the Model Confidence Set (MCS) Procedures and revealed: (1) The weekly RVar-MIDAS model emerged as the best model, outperformed the robust DAILY-STES methods, and the weekly DAILY-GARCH models, particularly during a volatile period. (2) models with realized variance measured in estimation and as a proxy for actual volatility outperformed those using squared residual. This study contributes an empirical approach to one-week ahead volatility forecasting of mutual funds return, which is less explored in past literature on financial volatility forecasting compared to stocks volatility.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.16
• /
• pp.7309-7313
• /
• 2015

Background: The organ preservation approach of choice for the treatment of locally advanced head and neck cancers is concurrent chemoradiation with three weekly high doses of cisplatin. Although this is an efficacious treatment policy, it has high acute systemic and mucosal toxicities, which lead to frequent treatment breaks and increased overall treatment time. Hence, the current study was undertaken to evaluate the efficacy of concurrent chemoradiation using 40 mg/m2 weekly cisplatin. Materials and Methods: This is a single institutional retrospective study including the data of 266 locally advanced head and neck cancer patients who were treated with concurrent chemoradiation using 40 mg/m2 weekly cisplatin from January 2012 to January 2014. A p-value of < 0.05 was taken to be significant statistically for all purposes in the study. Results: The mean age of the study patients was 48.8 years. Some 36.1% of the patients had oral cavity primary tumors. The mean overall treatment time was 57.2 days. With a mean follow up of 15.2 months for all study patients and 17.5 months for survivors, 3 year local control, locoregional control and disease free survival were seen in 62.8%, 42.8% and 42.1% of the study patients. Primary tumor site, nodal stage of disease, AJCC stage of the disease and number of cycles of weekly cisplatin demonstrated statistically significant correlations with 3 year local control, locoregional control and disease free survival. Conclusions: Concurrent chemoradiotherapy with moderate dose weekly cisplatin is an efficacious treatment regime for locally advanced head and neck cancers with tolerable toxicity which can be used in developing countries with limited resources.