Previous polarity classification using sentiment analysis utilizes a sentence rule by product reviews based rating points. It is difficult to be applied to blogs which have not rating of product reviews and is possible to fabricate product reviews by comment part-timers and managers who use web site so it is not easy to understand a product and store reviews which are reliability. Considering to these problems, if we analyze blogs which have personal and frank opinions and classify polarity, it is possible to understand rightly opinions for the product, store. This paper suggests that we extract high frequency vocabularies in blogs by several domains and choose topic words. Then we apply a technique of sentiment analysis and classify polarity about contents of blogs. To evaluate performances of sentiment analysis, we utilize the measurement index that use Precision, Recall, F-Score in an information retrieval field. In a result of evaluation, using suggested sentiment analysis is the better performances to classify polarity than previous techniques of using the sentence rule based product reviews.
The rapid urbanization caused drastic temperature changes in Korea. Excessive urbanization and development result in unpredictable and abnormal climate change all over the world. These changes are reflected in Korean government policy and research about cities, such that various research endeavors have been undergone recently. There are lots of ways to improve the urban environment; the easiest way to solve the urban heat effect problem is to make green spaces within the city. Even though we can't enlarge green spaces over the city limitlessly, it is desperately need for a methodology to efficiently create green space in limited area. Based on awareness of issues as mentioned earlier, we would like to propose landscaping method that can increase thermal comfort in the same area. For this study, simulating the change of temperature, mean radiant temperature, PMV were done due to number of species planted in apartment complex. To increase the reliability of the simulation, first above all, field measurement for temperature change was performed in apartment complex, where residential building are arranged in the form of ㄷ. And based on this data, Envi-met simulation was performed varying 1-7 kinds of species divided by grass, shrubs, arbor (deciduous, conifers) planted in apartment complex. As a result, there was a change less than $1^{\circ}C$ with the increasing number of species in daytime, but the average radiation temperature about $6-7^{\circ}C$ was reduced. In addition, PMV index was improved by more than 0.5 point. Thermal comfort indicator improved significantly depending on the number of species during the day, on the other hand, there were no significant changes at night. As a consequence, this study has shown that not single-species planting but mixed planting varied the number of species would improve the thermal comfort in the same area of landscaping space at daytime.
Postpartum depression is one of the most serious problems in maternal health because it affects not only the mother but also her family. Postpartum depression disturbs the maternal-infant interaction and attachment. However, most postpartum depression patients ignore this problem and do not seek treatment. Many clinicians and researchers realiza there is a need to develop a postpartum depression scale. Thus, this study has been designed to development of a postpartum depression scale. Data were collected through a survey over a period of three months. Subjects who participated in the study were 167 Korean mothers in their postpartum period. The author used a convenience sampling method. The analysis of the data was done with SPSS PC/sup +/ for descriptive statistics, item analysis and factor analysis. Initially 62 items were generated from the interview data of eight postpartum depression patients and from a literature review. This preliminary scale was analyzed for reliability and validity. The results of this analysis are as follows. 1. Initially 62 items were analyzed through the Index of Content Validity(CVI) and 48 items were selected. 2. Seven factors were extracted through the principal component analysis, and these contributed 61% of the variance in the total score. Finally 46 items in the scale loaded .41∼ .84 on one of seven factors. 3. Each factor was labeled. Factor 1 was labeled 'emotional phenomena-emotional upset' and included 13 items, factor 2 was labeled' cognitive phenomena-self concept disturbance' and included seven items, factor 3 was labeled 'relationship to baby-negative feeling' and included six items, factor 4 was labeled 'relationship to baby- overload' and included eight items, factor 5 was labeled 'negative maternal identity' and included five items, factor 6 was labeled 'biophysiological phenomena-disturbance of physical functioning' and included four items, and factor 7 was labeled' interpersonal relationship phenomena-blamed others' and included three items. 4. Cronbach Coefficient Alpha for internal consistency was .95 for the total 46 items. Finally, the author suggests that this scale could be adequately applied in assessing the postpartum depression of mothers during the postpartum period. The results of this study can contribute to designing an appropriate postpartum depression prevention strategy.
The Journal of The Korea Institute of Intelligent Transport Systems
/
v.12
no.1
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pp.28-42
/
2013
Personal Rapid Transit(PRT) is a new unmanned transportation system using electricity. The purpose of the PRT is relieving the congestion of city traffic and connecting between inner city and airport, high-speed railroad. PRT requires to develop devices for the guarantee of safety and reliability. PRT as the mean of rail transportation must be equipped with control system for front rail sensing. Ultra Wide Band(UWB) radar system is suitable for PRT's detection because it has the advantage of low power consumption, low interference and high resolution. In this paper, an improved adaptive Constant False Alarm Rate(CFAR) algorithm is proposed and studied in various noise environments. The proposed algorithm improves performance in various noise environments compared to the Mean Level CFAR algorithms and other adaptive CFAR algorithms.
Journal of Korean Academic Society of Home Health Care Nursing
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v.8
no.2
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pp.159-170
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2001
Client(patient) satisfaction has been used for a variety of purposes in different settings, yet, those receiving home care services have been the focus of few satisfaction studies. Satisfaction is considered an indicator of quality of care and is also being used to assess the performance of home care providers and home health care delivery at multiple levels. The aim of this study was to develop the tool for evaluating client satisfaction in several aspects with home care service while maintaining or achieving acceptable reliability and validity. Firstly, Client Satisfaction Instrument made preliminary of 43 items composed basic 6 criteria and 7 indicators, based on a review of literature, quality improvement and client satisfaction findings in home care. Secondly, there were consisted in two expert panel groups who were made in professionals of research and practice in home care field. The tool was modified to 6 criteria and 7 indicators, 25 items after reviewing by two expert panel groups. The content validity index of the tool was above 0.8 and the results of internal consistency was more than 0.8 in all items. Finally. The Client Satisfaction Instrument in Home Care Service was made up 6 criteria such as client satisfaction of nurses's instruction of home care educational need. knowledge/technique/attitude of homecare nurses's performance. interpersonal relationship and emotional support of nurse. easiness of homecare accessibility, continuity of homecare service. overall efficacy of homecare use, 7 indicators. and 25 items. The results of evaluating client satisfaction will be able to contribute in quality improvement and service marketing in home care.
Objective: The purpose of the study is to develop quantitative usability evaluation criteria for senior-friendly autonomous transportation robot. Background: The Republic of Korea has become the most rapidly aging society, and is anticipated to enter the post-aged society in 2026. To raise the quality of life of a senior with limited mobility and to reduce the burden of caregivers, many high-tech assistive products with information technologies are developed nowadays. The senior-friendly autonomous transportation robot is one person robot vehicle to move a senior to the destination for hospitals, nursing homes or silver town complex. With built-in navigation system and environmental monitoring censors, it automatically seeks the path to the destination and avoids collision to obstacles and pedestrians on the way. Due to the early stage of the product, few usability studies in this field have been done, mostly on general service robots to assist seniors, power wheelchairs and delivery robots. ISO and KS standards for the service robots are focused on safety. Method: Based on the reference usability index, the early draft of the usability evaluation questionnaires was developed. After small group tests and interviews, the experts modified the initial draft to the Usability Evaluation Criteria for Senior-Friendly Autonomous Transportation Robot (UEC-SFATR). Result: UEC-SFATR consisted of 4 subscales - Safety, Controllability, Efficiency and Satisfaction. All of the 4 subscales of UEC-SFATR were passed the reliability criteria by 4 groups of seniors, divided by gender and familiarity of smart-devices. Conclusion: UEC-SFATR covers wider area of user experiences of the SFATR and is a good measurement tool to help both the users and developers of the robot. Application: This study provides guide to the future product development and product competitiveness evaluation by quantifying user experiences for the SFATR.
Purpose: The effects of job participation on self-esteem and life satisfaction were investigated. Methods: Seventy residents of D welfare center located in G city who were >60 yr-of-age were selected for the study. The SERS research tool (Nugent and Thomas, 1993; modified by Koh, 2002) was used to assess self-esteem before and after a job participation program. The Cronbach's ${\alpha}$value-based reliability of this tool was 0.923 and 0.920 before and after the job participation program, respectively. Cronbach's ${\alpha}$value-based life satisfaction as measured according to Choi (1986) was 0.932 and 0.933 before and after the job participation program, respectively. Results: The hypothesis that job participation program increases self esteem was supported by the results. The mean self esteem of subjects before and after the job program, 3.31 and 3.48, respectively, represented a significant increase. The hypothesis that the job participation program increases life satisfaction was supported by the results. The mean life satisfaction index of subjects before and after the program, 3.04 and 3.24, respectively, represents a significant increase. Conclusions: Increased job opportunities and income guarantee for adults, particularly the elderly, can increase self-esteem, life satisfaction, and emotional stability.
Song, Choongwon;Jang, JinHyeok;Sung, Sangkyung;Lee, Young Jae
Journal of the Korean Society for Aeronautical & Space Sciences
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v.45
no.7
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pp.550-557
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2017
Ionospheric delay, which affect the accuracy of GNSS positioning, is generated by electrons in Ionosphere. Solar activity level, region and time could make change of this delay level. Dual frequency receiver could effectively eliminate the delay using difference of refractive index between L1 to L2 frequency. But, Single frequency receiver have to use limited correction such as ionospheric model in standalone GNSS or PRC(pseudorange correction) in Differential GNSS. Generally, these corrections is effective in normal condition. but, they might be useless, when TEC(total electron content) extremely increase in local area. In this paper, monitoring algorithm is proposed for local ionospheric anomaly using multiple reference stations. For verification, the algorithm was performed with specific measurement data in Ionospheric storm day (20. Nov. 2003). this algorithm would detect local ionospheric anomaly and improve reliability of ionospheric corrections for standalone receiver.
Transactions of the Korean Society of Mechanical Engineers A
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v.41
no.2
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pp.149-156
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2017
Nuclear fuel requires high reliability and safety and therefore contains debris filtering devices to prevent failure-inducing debris from entering it. The debris filtering performance of nuclear fuel is one of the most important factors for fuel integrity. Therefore, the performance must be evaluated and the measurement must be reasonable. In this study, a calculation method of the comprehensive filtering efficiency using the weighted mean was proposed to establish a standard filtering efficiency index. To confirm the suitability of the proposed method, representative debris specimens were selected and the filtering efficiency with the weighted mean was compared with the efficiency of the arithmetic mean. The weighting factor of the weighted mean was introduced to produce a fair evaluation. In addition, the analysis of the debris filtering mechanism was performed according to the size of debris specimens, and the main dimensions of the filtering feature for commercial nuclear fuel.
The influences on water quality of each river by effluents from environmental facilities $located^{*}$ in 14 unit watersheds of North- and South-Han River, and Gyungan-cheon were analyzed. Also, the water quality modeling for study area was carried out to analyze the improvement effect of water quality by the strengthening of T-P effluent standard of environmental facilities. For the calibration and verification of model, water quality data and effluent loading calculated for 2006 were used. Data of low water period were used for calibration, and normal water period for verification. The results of calibration and verification were well matched with the real water quality dataset of revers. Also, the validity of the results were estimated using RI (Reliability Index) method. When the T-P effluent standards for environmental facilities were strengthened, T-P concentrations were predicted to improve from $0.025mg/{\ell}$ to $0.023mg/{\ell}$ in the outlet location of North-Han River, from $0.056mg/{\ell}$ to $0.040mg/{\ell}$ for South-Han River,and from $0.233mg/{\ell}$ to $0.146mg/{\ell}$ for Gyungan-cheon. Also, the T-P concentrations of tributaries including Jojong-cheon, Dal-cheong, Sumgang, Chungmi-cheon, Bokha-cheon, Heuk-cheon, and Wonju-cheon were predicted to improve from $0.063mg/{\ell}$ to $0.010mg/{\ell}$, from $0.091mg/{\ell}$ to $0.053mg/{\ell}$, from $0.199mg/{\ell}$ to $0.100mg/{\ell}$, from $0.168mg/{\ell}$ to $0.148mg/{\ell}$, from $0.186mg/{\ell}$ to $0.105mg/{\ell}$, from $0.019mg/{\ell}$ to $0.013mg/{\ell}$, and from $0.822mg/{\ell}$ to $0.236mg/{\ell}$, respectively.
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