• Journal of the Korean Society of Food Culture
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• v.25 no.5
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• pp.589-597
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• 2010

The purpose of this study was to investigate whether strategic alliance sales promotions have short-term or long-term or sales or communication effects in the family restaurant industry. The hypotheses were tested in family restaurant settings using a sample of customers visiting and enjoying food in the metropolitan city of Daegu. Empirical results confirmed that strategic alliance sales promotions had short-term and long-term effects, as well as sales and communication effects. Therefore, family restaurant managers should adopt or keep sales promotion strategic alliances with credit card companies. Furthermore, family restaurant managers should adopt or keep sales promotions with other companies. In a future study, more variables should be selected to test the sales promotion effects of strategic alliances.

• Journal of Korean Medicine Rehabilitation
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• v.21 no.2
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• pp.15-30
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• 2011

Objectives : The present study investigated the effects of Achyranthis Radix on short-term memory, apoptotic neuronal cell death in the hippocampus following transient global ischemia in gerbils. Methods : The gerbils were divided into 5 groups(n=10); Sham operation group, ischemia-induced group, ischemia-induced and 50 mg/kg Achyranthis Radix-treated group, ischemia-induced and 100 mg/kg Achyranthis Radix-treated group, ischemia-induced and 200 mg/kg Achyranthis Radix-treated group. For this study, a step-down avoidance task, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling(TUNEL) assay, immunohistochemistry for caspase-3 and BrdU(5-Bromo-2'-deoxyuridine), and western blotting for bax, bcl-2 were performed. Results : The results revealed that ischemic injury impaired short-term memory and increased apoototic neuronal cell death in the hippocampal CA1(cornu ammonis area 1) region. Ischemic injury enhanced cell proliferation in the hippocampal CA1 region, the compensatory and adaptive process for excessive apoptosis. Achyranthis Radix treatment improved short-term memory by suppressing ischemia-induced apoptotic neuronal cell death in the hippocampal CA1 region. Also, Achyranthis Radix suppressed the ischemia-induced increase in cell proliferation in the hippocampal CA1 region. Conclusions : We showed that Achyranthis Radix alleviates ischemia-induced apoptotic neuronal cell death, thus facilitates the recovery of short-term memory impairment induced by ischemic cerebral injury.

• Journal of the Korea Concrete Institute
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• v.12 no.4
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• pp.69-78
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• 2000

Creep of concrete is the most dominating factor affecting time-dependent deformations of concrete structures. Especially, creep deformation for design and construction in prestressed concrete structures should be predicted accurately because of its close relation with the loss in prestree of prestressed concrete structures. Existing creep-prediction models for special applications contain several impractical factors such as the lack ok accuracy, the requirement of long-term test and the lack of versatility for change in material properties, ets., which should be improved. In order to improve those drawbacks, a methodology to modify the creep-prediction equation specified in current Korean concrete structures design standard (KCI-99), which underestimates creep of concrete and does not consider change of condition in mixture design, is proposed. In this study, short-term creep tests were carried out for early-age concrete within 28 days after loading and their test results on influencing factors in the equation are analysed. Then, the prediction equation was modified by using the early-age creep test results. The modified prediction equation was verified by comparing their results with results obtained from long-term creep test.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.253-270
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• 2021

Purpose - The main purpose of this study is to measure and evaluate the level of national liabilities that Korea's national finances can afford. Specifically, the concepts of national debt and national liability are clarified, and the appropriate level of national liabilities is measured in terms of short-term fiscal crisis, mid-to-long-term fiscal crisis, and GDP. Based on these measurements of fiscal crisis, this study would like to propose national fiscal management plans. Design/methodology/approach - In order to clearly recognize the difference between the national debt and the national liability, this study examines the data from 2013 to 2020. In addition, this study uses data from the national financial statements from 2013 to 2018 to measure the appropriate level of national liabilities in terms of fiscal crisis management. Findings - Short-term fiscal crises, measured by current ratios, will not occur. Nevertheless, in view of the cash flow compensation ratio, the short-term bankruptcy of the national finances of Korea depends on the re-borrowing of short-term borrowings and current and long-term borrowings. In addition, in order to manage the mid-to long-term financial crisis, it is necessary to pay attention to the liability growth rate rather than the liability size. Research implications or Originality - While previous studies focused on the appropriate level of national debt, this study was differentiated as a study focused on the level of national liability coverage. It is expected that the results of this study will be used to manage the national fiscal soundness.

• Korean Journal of Child Studies
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• v.20 no.3
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• pp.293-306
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• 1999

This study investigated children's spatial skills and short term memory ability based on their practice with computer games. The 40 four-year-old and 40 six-year-old subjects were divided by experimental and control groups. Spatial skills of children were assessed by visual speed, mental rotation, and spatial visualization tasks. Short term memory was measured with a digit span task. Results showed that computer game practice enhanced children's memory ability and spatial skills. Even 4-year-olds performed better on mental rotation and spatial visualization tasks after practice. The treatment effect was significant for visual speed of 6-year-olds, short term memory ability and mental rotation of 4-year-olds, and spatial visualization of both 4- and 6-year-olds.

• Proceedings of the KIEE Conference
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• summer
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• pp.683-685
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• 2004

This paper introduces a basic design for the short-term load forecasting system using a commercial data base. The proposed system uses a hybrid load forecasting method using fuzzy linear regression for forecasting of weekends and Monday and general exponential smoothing for forecasting of weekdays. The temperature sensitive is used to improve the accuracy of the load forecasting during the summer season. MS-SQL Sever has been used a commercial data base for the proposed system and the database is operated by ADO(ActiveX Data Objects) and RDO(Remote Data Object). Database has been constructed by altering the historical load data for the past 38 years. The weather iDormation is included in the database. The developed short-term load forecasting system is developed as a user friendly system based on GUI(Graphical User interface) using MFC(Microsoft Foundation Class). Test results show that the developed system efficiently performs short-term load forecasting.

• Communications for Statistical Applications and Methods
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• v.28 no.5
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• pp.521-536
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• 2021

As life expectancies increase continuously over the world, the accuracy of forecasting mortality is more and more important to maintain social systems in the aging era. Currently, the most popular model used is the Lee-Carter model but various studies have been conducted to improve this model with one of them being 6-parametric factor model (6-PFM) which is introduced in this paper. To this new model, long short-term memory (LSTM) and regularized LSTM are applied in addition to vector autoregression (VAR), which is a traditional time-series method. Forecasting accuracies of several models, including the LC model, 4-PFM, 5-PFM, and 3 6-PFM's, are compared by using the U.S. and Korea life-tables. The results show that 6-PFM forecasts better than the other models (LC model, 4-PFM, and 5-PFM). Among the three 6-PFMs studied, regularized LSTM performs better than the other two methods for most of the tests.

• Journal of Oriental Neuropsychiatry
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• v.27 no.2
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• pp.57-65
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• 2016

Objectives The aim of this study was to develop a new Korean psychotherapeutic model in terms of emotion.Methods We compared the five minds mutual restriction therapy with short-term dynamic psychotherapy (STDP). We summarized 4 similarities and 4 differences of these two models of psychotherapy.Results 1. Short-term dynamic psychotherapy (STDP) needs active intervention of the therapist, with a restricted therapeutic focus and session. It blends with the present state of oriental neuropsychiatric clinics, and is suitable for Korean medical psychiatrists to apply short-term dynamic psychotherapy (STDP) to their clinical settings. 2. Short-term dynamic psychotherapy (STDP) and five minds mutual restriction therapy are similar, in that they both mainly use the emotions, needing restricted therapeutic focus and sessions, and active intervention of the therapist. 3. Short-term dynamic psychotherapy (STDP) and five minds mutual restriction therapy are different in their methods of arousing therapeutic emotion, the necessity of the patient being unconscious, the standard of patient selection, and the importance of follow up.Conclusions It is necessary to develop a new Korean psychotherapeutic model, which amalgamates the advantages of both methods of psychotherapy, and considers the present state of clinic. It is necessary that the Korean medical psychiatrists introspect themselves, since they are not merely therapists but also a role model for the patient.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.189-192
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• 2021

This study applies a deep learning-based long short-term memory(LSTM) model to track tracking technology. In the case of existing track tracking technology, the weight of constant velocity, constant acceleration, stiff turn, and circular(3D) flight is automatically changed when tracking track in real time using LMIPDA based on Kalman filter according to flight characteristics of an aircraft such as constant velocity, constant acceleration, stiff turn, and circular(3D) flight. In this process, it is necessary to improve performance of changing flight characteristic weight, because changing flight characteristics such as stiff turn flight during constant velocity flight could incur the loss of track and decreasing of the tracking performance. This study is for improving track tracking performance by predicting the change of flight characteristics in advance and changing flight characteristic weigh rapidly. To get this result, this study makes deep learning-based Long Short-Term Memory(LSTM) model study the plot and target of simulator applied with radar error model, and compares the flight tracking results of using Kalman filter with those of deep learning-based Long Short-Term memory(LSTM) model.

• International Journal of Control, Automation, and Systems
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• v.3 no.4
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• pp.509-523
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• 2005

We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perform moving object prediction (MOP) for autonomous ground vehicles. The underlying concept is based upon a multi-resolutional, hierarchical approach which incorporates multiple prediction algorithms into a single, unifying framework. The lower levels of the framework utilize estimation-theoretic short-term predictions while the upper levels utilize a probabilistic prediction approach based on situation recognition with an underlying cost model. The estimation-theoretic short-term prediction is via an extended Kalman filter-based algorithm using sensor data to predict the future location of moving objects with an associated confidence measure. The proposed estimation-theoretic approach does not incorporate a priori knowledge such as road networks and traffic signage and assumes uninfluenced constant trajectory and is thus suited for short-term prediction in both on-road and off-road driving. In this article, we analyze the complementary role played by vehicle kinematic models in such short-term prediction of moving objects. In particular, the importance of vehicle process models and their effect on predicting the positions and orientations of moving objects for autonomous ground vehicle navigation are examined. We present results using field data obtained from different autonomous ground vehicles operating in outdoor environments.