• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.4
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• pp.11-20
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• 2022

Currently, the operation rule of agricultural reservoirs in case of drought events follows the drought forecast warning standard of agricultural water supply. However, it is difficult to preemptively manage drought in individual reservoirs because drought forecasting standards are set according to average reservoir storage ratio such as 70%, 60%, 50%, and 40%. The equal standards based on average water level across the country could not reflect the actual drought situation in the region. In this study, we proposed the improvement of drought operation rule for agricultural reservoirs based on the percentile approach using past water level of each reservoir. The percentile approach is applied to monitor drought conditions and determine drought criteria in the U.S. Drought Monitoring (USDM). We applied the drought operation rule to reservoir storage rate in extreme 2017 spring drought year, the one of the most climatologically driest spring seasons over the 1961-2021 period of record. We counted frequency of each drought criteria which are existing and developed operation rules to compare drought operation rule determining the actual drought conditions during 2016-2017. As a result of comparing the current standard and the percentile standard with SPI6, the percentile standard showed severe-level when SPI6 showed severe drought condition, but the current standard fell short of the results. Results can be used to improve the drought operation criteria of drought events that better reflects the actual drought conditions in agricultural reservoirs.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.1-7
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.4
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• pp.71-81
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• 2010

The purpose of this study is to examine the moderating effects of the Leader-member exchange(LMX) on relationship between the interpersonal conflict and turnover intention. Since effective management of IS personnel is important issue for the IS related researchers and practitioners since their turnover rate has been known to be high and skilled personnel have been in short supply. We develop the hypotheses from the prior studies and empirically testing them in the context of IS personnels from various companies located in vicinity of capital city of Korea. This empirical study show interesting results. Good leader-member exchange has the moderating effect on the management of interpersonal conflict level and drastic reduction of the turnover behavior. Based on the analyzed results, we discussed the theoretical implications and limitations.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.210-216
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• Journal of Practical Agriculture & Fisheries Research
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• v.14 no.1
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• pp.181-193
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• 2012

There is enough precipitation and sunshine in Lae, Papua New Guinea. pH in soil of yam field averaged 6.4, that is suitable for yam growing. However, a great variation in pH was found from 3.7 to 6.4 in different locations around Lae. EC in the soil was 0.18 mS/cm that has shown short of soil nutrition but ORP was 393mV, allowing to be ideal for yam cultivation. Thoughtful management for soil fertility including supply of organic 1matters is needed for the sustainable organic yam production in Lae region, PNG.

• Korean Journal of Social Welfare Studies
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• v.43 no.2
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• pp.31-60
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• 2012

This case study tried to explore the food insecurity experiences of poor households with children, since 'food insecurity experiences' of poor households represents economic inequality and social deprivation in the midst of a affluent society. Interviewees in this reports reported that they have found difficulties with buying right or enough food materials due to short of income. As well, they have usually experienced the selection and use of only low-grade foods, substitution for more cheap food materials, limitation of available food materials(especially, meats and fruits), and monotonous diets in their everyday lives. Sometimes, their children skipped their meals due to their monotonous diets. To sum up, I could identify that they(poor households with children) had experienced many components of 'food insecurity' constructs in their daily lives. In spite of, there are some distinction between reports through food insecurity scale and records of interviews and the various foods-supply programs have supplemented their food insecure situation. Therefore, we should give consideration to these in the use and interpretation of the results of food insecurity scales.

• East European & Balkan Studies
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• v.36
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• pp.247-268
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• 2013

The ever-increasing informal economy in post-socialist Eastern Europe forces one to wonder about what transition to post-socialism is for and about. Informal economy, which refers to unregistered work and services to was rampant in the socialist period across Eastern Europe and the Soviet Union. It was considered as a pathological phenomenon of the socialist system and exposing the rigidity and inefficiency of the command economy amongst the socialist regimes. The ordinary people of the Eastern bloc had to resort to all sorts of informal channels to get hold of goods and services constantly in short supply, especially at the last decade of the really existing socialism. However, it is ironical to observe the same old informal economy, considered pathological, even more thriving in the new era of post-socialism in Eastern Europe. After all, the system has changed into the capitalism, the antipode to socialism. It should be mentioned that the function of informal economy is seen to be even more intensified, from a means to make living better in the socialist time to a means for survival and sustenance in the post-socialist period. It follows from the socialist experience that the deficiency of the ruling system could not be indefinitely borne out. Real remedies should be sought out before it will be too late.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.375-383
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• 2006

Nationals Assembly have experiencing unbalance between capacities and demand of parking facilities because of increasing parking demand, free parking policy, long term parking and passenger car use of workers, usage of neighborhood office workers and visitors. The lack of parking facilities cause illegal parking on the street inside and outside of National Assembly which result in the disorder of parking culture. To solve these parking problems, this study suggest parking management system to enter the National Assembly for the short term and charging parking fee, operation by private company, constructing parking building by abrogation of upper limit and construction of ground park, and so on. The study, also, suggested to strengthen weekday or 10 day shift system, to increase shuttle bus and commuting bus, to activation of Han River waterside parking area, public transportation with those new parking management system. For the conclusion, the parking problems of National Assembly should be focused more on parking management than the parking facilities supply.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6B
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• pp.561-569
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• 2010

In this study, the impact of climate change on extreme drought events is investigated by comparing drought severity-area-duration curves under present and future climate. The depth-area-duration analysis for characterizing an extreme precipitation event provides a basis for analysing drought events when storm depth is replaced by an appropriate measure of drought severity. In our climate-change impact experiments, the future monthly precipitation time series is based on a KMA regional climate model which has a $27km{\times}27km$ spatial resolution, and the drought severity is computed using the standardized precipitation index. As a result, agricultural drought risk is likely to increase especially in short duration, while hydrologic drought risk will greatly increase in all durations. Such results indicate that a climate change vulnerability assessment for present water resources supply system is urgent.

• Journal of The Geomorphological Association of Korea
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• v.26 no.1
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• pp.15-26
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• 2019

In this study, we investigated the grain size, lithological type, and shape of coarse bed materials in the upper and middle reaches of Gongneungcheon River. For this purpose, 11 sampling points were selected along the river. For 100 samples of the coarse bed materials at each point, three axes (long, intermediate, and short) of samples were measured, and their lithological types were also identified. By measuring grain size, the sphericity and flatness of samples were calculated. Finally, every particle was classified into four shape categories: sphere, disc, blade and rod. We found that the grain size in incised meandering reach is the largest. This is mainly due to the supply of coarse materials from steep valley sides along the meandering channel. According to the lithological analysis, all samples were identified as granite, gneiss and schist, and quartz. The proportion of granite decreased, whereas the proportion of gneiss and schist increased downstream. These patterns indicate that the bedrock distribution within the study area accounts for the downstream lithological variation of coarse bed materials. With regard to the grain shape, sphericity gradually decreased while flatness gradually increased downstream. In the case of the shape classification, unlike the general downstream pattern of grain shape, the proportion of the sphere type decreased and the proportion of the blade type increased downstream. Such a reversal change in the downstream direction turns out to be determined by the lithology (such as foliation, bedding and the pattern of weathering) of coarse bed materials.