• Korean Journal of Social Welfare
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• v.41
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• pp.119-146
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• 2000

The goals and strategies of welfare-to-work (WTW) policies have been sources of contentious political debate. In the United States, despite 20 years of welfare reform, there remain important differences of opinion regarding how best to design and deliver WTW programs. The proliferation of state and local WTW experiments has led to the identification of two ideal-types of WTW programs: the Labor Force Attachment and Human Capital Development models. Most of the recent policy debate about WTW in America has focused on the relative merits and performance of LFA and HCD. While the Primary goal of the LFA model is for welfare recipients to achieve a rapid transition into work, the HCD model seeks to improve the long-term employability of welfare dependents through education and skill development. LFA policies tend to be strongly outcome-oriented and generally can yield quick results. Their "any job is a good job" philosophy has proved attractive to policy-makers who are anxious to see concrete results in a short-term period. In contrast, the HCD policies do not simply dump welfare dependents at the bottom of the labor market, but aim to secure relatively stable and well-paid jobs. However, these strengths are offset by several practical weaknesses including high unit costs and long-term investment in human capital. In recent years, LFA policies have been increasingly favored by both policy officials and politicians in the United States. The introduction of Temporaray Assistance to Needy Families of 1996 has been accelerating the trend. What is going to happen to welfare recipients? This simple shift to the LFA model, however, will only see an alarming increase of working poor in a near future.

• The Journal of the Society of Stroke on Korean Medicine
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• v.16 no.1
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• pp.89-102
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• 2015

■ Objectives This study aimed to investigate the domestic research trend about Amyotrophic Lateral Sclerosis(ALS) treated with Traditional Korean Medicine(TKM). ■ Methods Searches of two major TKM databases were conducted for articles published up to July 2015. Searching keyword was "Lou Gehrig's disease" OR "amyotrophic lateral sclerosis". Studies dealt TKM for ALS were included. ■ Results 18 studies were met our inclusion criteria(two prospective studies, one retrospective study, one follow-up study, 14 case reports). Complex TKM intervention of herbal medication, acupuncture and pharmacopuncture was the most frequently used treatment. Individually, herbal medication was the most frequent followed by acupuncture. Short-term assessment showed improvement in ALS symptoms but long-term assessment showed progression of disease. Accessory symptoms including depression, anxiety and insomnia were improved in four studies. ■ Conclusion For more definite evidence, larger studies with long-term follow-up period are needed. Moreover, benefits that TKM can provide for ALS patients as a part of multi-disciplinary approach should be studied in depth.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.131-145
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• 2020

In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.17
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• pp.7303-7307
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• 2014

Objective: To explore the clinical efficacy of gemcitabine concomitant with nedaplatin and drug resistance in the treatment of non-small cell lung cancer (NSCLC) and associated molecular predicators. Materials and Methods: A total of 68 patients diagnosed with NSCLC by histology served as the study objects and were randomly divided into an observation group treated with gemcitabine concomitant with nedaplatin and a control group with cisplatin concomitant with gemcitabine, 34 cases for each group. Short-term and long-term efficacies, adverse responses as well as the expression of nucleotide excision repair cross complementing 1 (ERCC1), ribonucleotide reductase subunit M1 (RRM1) and lung resistance-related protein (LRP) in NSCLC tissues in both groups were assessed. Results: The short-term objective response rate (ORR) and disease control rate (DCR) were 35.3% (12/34) and 76.5% (26/34) in the observation group and 38.2% (13/34) and 85.3% (29/34) in the control group, respectively, the differences not being statistically significant. The time to progression (TTP) in both groups were 1~12 months, while the median TTP was 135 d and 144 d, respectively. Though the survival was slightly higher in the control group, there were no significant differences in TTP and survival time. The rates of decreased hemoglobin, vomiting and nausea as well as renal toxicity were evidently lower in the observation group, while other adverse responses demonstrated no significant difference. The positive expression rates of ERCC1, RRM1 and LRP were 47.1% (16/34), 61.8% (21/34) and 64.7% (22/34) in the observation group, respectively. Compared with negative ERCC1 expression, ORR had decreasing trend and the overall survival time (OS) decreased significantly in patients with positive ERCC1 expression, which were markedly decreased by the positive expressions of RRM1 and LRP. Conclusions: Gemcitabine concomitant with nedaplatin has significant effects in the treatment of NSCLC, with an adverse response rate obviously lower than for cisplatin concomitant with gemcitabine, suggesting that wider use in the clinic is warranted. Additionally, the positive expressions of ERCC1, RRM1 and LRP may increase patient drug resistance, so they can be applied as the chemotherapeutic predicators to guide individualized therapy of NSCLC patients.

• Survey Research
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• v.10 no.1
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• pp.113-139
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• 2009

It is desirable to use a monthly benchmarked construction indicator which contains the characteristics of statistical data in an annual survey in order to analyze the cyclical phenomenon of the construction activity. The benchmarked indicator is expected to improve the data quality in terms of accuracy, consistency, comparability, and completeness. In this paper, benchmarking methodologies of compiling monthly construction indicators arc researched by using a monthly prompt data holding short - term fluctuations and an annual survey data regarded as more accurate statistics than monthly data. The benchmarking is the methodology by which a high frequency data should he adjusted in order to hold the short-term and cyclical phenomena, and the long - term trend of two data groups with ensuring the consistency of an annual summation between a high frequency data and a low frequency data. This paper considered the numerical approach like pro rata distribution method, proportional Denton method, EFL or HP filter Benchmark - to - Indicator ratio method, and the model - based approach such as Chow and Lin method, $Fem{\acute{a}}ndez$ method. Also, the benchmarked construction indicators were estimated by early mentioned benchmarking methods with practical data, and these methods were empirically reviewed and compared. In case of construction indicators with severe seasonal fluctuations and irregulars, the numerical approach seemed to be performed more correctly than the model- based approach. Among numerical methods, the proportional Denton method used in general was a little nice. The HP filter Benchmark - to - Indicator ratio method may be considered with survey errors or measurement errors in an annual survey data.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.6
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• pp.37-48
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• 2005

The efficiency of power supply circuits such as DC-DC converters and batteries varies on the trend of the power consumption because their efficiencies are not fixed. To analyze the efficiency of power supply circuits, we need the temporal behavior of the power consumption of the loads, which is dependent on the activity factors of the devices during the operation. Since it is not easy to model every detail of those factors, one of the most accurate power consumption analyses of power supply circuits is measurement of a real system, which is expensive and time consuming. In this paper, we introduce an active load emulator for embedded systems which is capable of power measurement, logging, replaying and synthesis. We adopt a pattern recognition technique for data compression in that long-term behaviors of power consumption consist of numbers of repetitions of short-term behaviors, and the number of short-term behaviors is generally limited to a small number. We also devise a heterogeneous structure of active load elements so that low-speed, high-current active load elements and high-speed, low-current active load elements may emulate large amount and fast changing power consumption of digital systems. For the performance evaluation of our load emulator, we demonstrate power measurement and emulation of a hard drive. As an application of our load emulator, it is used for the analysis of a DC-DC converter efficiency and for the verification of a low-power frequency scaling policy for a real-time task.

• Korea journal of population studies
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• v.9 no.1
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• pp.41-53
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• 1986

The purpose of this paper is two-fold. One is to investigate the determinants of the demand supply of labor, and another is to project long-term demand and supply of labor. The paper consists of three parts. In the first part, theoretical models and important hypotheses are discussed: for the case of a labor supply model, issues regarding discouraged worker model, permanent wage hypothesis, and relative wage hypothesis are examined and for the case of a demand model, issues regarding estimating an employment demand equation within the framework of an inverted short-run produc- tion function are inspected. Particularly, a theoretical justification for introducing a demographic cohort variable in a labor supply equation is also investigated. In the second part, empirical results of the estimated supply and demand equations are analyzed. Supply equations are specified differently between primary and secondary labor force. That is, for the case of primary labor force groups including males aged 25 and over, attempts are made to explain the variations in participation behavior within the framework of a neo-classical economics oriented permanent wage hypothesis. On the other hand, for the case of females and young male labor force, variations in participation rates are explained in terms of a relative wage hypothesis. In other words, the participation behavior of primary labor force is related to short-rum business fluctuations, while that of secondary labor force is associated with intermediate swings of business cycles and demographic changes in the age structure of population. Some major findings arc summarized as follows. (1) For the case of males aged 14~19 and 2O~24 groups and females aged 14∼19, the effect of schhool enrollment rate is dominant and thus it plays a key role in explaining the recent declining trend of participation rates of these groups. (2) Except for females aged 20∼24, a demographic cohort variable, which captures the impact of changes in the age structure on participation behavior, turns out to show positive and significant coefficients for secondary labor force groups. (3) A cyclical variable produce significant coefficients for prime-age males and females reflecting that as compared to other groups the labor supply behavior of these groups is more closely related to short-run cyclical variations (4) The wage variable, which represents a labor-leisure trade-off turns out to yield significant coefficients only for older age groups (6O and over) for both males and females. This result reveals that unlike the experiences of other higer-income nations, the participation decision of the labor force of our nation is not highly sensitive with respect to wage changes. (5)The estimated result of the employment demand equation displays that given that the level of GNP remains constant the ability of the economy to absord labor force has been declining;that is, the elasticity of GNP with respect to labor absorption decreasre over time. In the third part, the results of long-term projections (for the period of 1986 and 1995) for age-sex specific participation rates are discussed. The participation rate of total males is anticipated to increase slightly, which is contrary to the recent trend of declining participation rates of this group. For the groups aged 25 and below, the participation rates are forecast to decline although the magnitude of decrease is likely to shrink. On the other hand, the participation rate of prime- age males (25 to 59 years old) is predicted to increase slightly during 1985 and 1990. For the case of females, except for 20∼24 and 25∼34 age groups, the participation rates are projected to decrease: the participation rates of 25∼34 age group is likely to remain at its current level, while the participation rate of 20∼24 age group is expected to increase considerably in the future (specifi- cally, from 55% in 1985 to 61% in 1990 and to 69% in 1995). In conclusion, while the number of an excess supply of labor will increase in absolute magnitude, its size as a ratio of total labor force is not likely to increase. However, the age composition of labor force is predicted to change; that is, the proportion of prime-age male and female labor force is projected to increase.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.3
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• pp.348-365
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• 2015

This study empirically analyzes the recent conversion trend of Jeonsei to monthly rental contracts in the APT rental market and its major characteristics for three Gangnam districts using the real transaction Jeonsei and monthly rent prices data over the period of 2010.12 to 2015.4. The results show that in terms of deposits and substitutability the conventional apartment is more efficient than those of the reconstruction apartment. Moreover, monthly rental contracts are closely related with the movement of short-term interest rates. Given the same type of apartment, the result drawn from the substitutability between Jeonsei and monthly rental contracts reveals that the monthly leasing contract with the lower rate of deposit tends to have the higher conversion rate of Jeonsei to monthly rent. Thus, an urgent measure should be taken that the burdens of tenants with monthly rent contracts could be alleviated according to the rate of deposits.

• Archives of design research
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• v.16 no.4
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• pp.215-224
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• 2003

The cruiser trip which can have various experiences in a short time is growing as the best tourism package because there is less leisure time in contrast of the increased income in 21C. in other words, as the demand of the tourist goes up, the number of ships built newly is increasing. The order of the ship keeping first and second rank in Korea has arranged a long-term strategy in order to get into the global market with the cruiser with the high value added. They also set the objective related to the cruiser design and skillful construction work. We need to observe the change and trend of the cruiser with a care at this time when the cruiser industry is launched out. In this study, the cruiser industry is divided by four periods: the spring time, the depressed time, the developing time and the peak time, on the basis of the trend of the development and the change of space structure. In addition, it was analyzed in this study that there were the various trends such as the ratio, the structure and the type of the space as well as the interior plan in the passenger's residential place The aim of this study is to present the fundamental material about the interior plan to prepare for building the domestic cruisers in a foreseeable future.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.1
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• pp.117-128
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• 2002

Metal problems in herbal medicine are not regulate properly by law and public management around world country until this time. General people belief as safety about herbal since natural material. And almost all persons can also purchase by their-self and use by self-prescription in reality. As this result herbal medicines can always occur acute and chronic toxicity by not proper use problems, side-effect and overdose. Heavy metal toxic diseases in historical view point was big accidents that didnot forget including minamata and itai-itai in Japan. These accident's teach to us must not use toxic metal level and not include or at least Pb Hg As Cd in all kind material use and intake by people, especially herbal. Herbal contamination research is beginner state that had not many papers until nowadays. Even if this pan had some papers, it had negative result and bigger and larger than problems level because of one way research trend of not many sample case-report and screening test of dried herbal form in chiefly. Many persons have afraid and risk thinking about herbal, animal and minerals since these cause. Further research related this subject will be needed at fact of epidemiology including case-control and cohort study for more precision research affecting in short and long term intake of oriental medicines