• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.143-151
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• 2001

This paper investigates the development of a neural network based system for automated signature authentication that relies on an autoregressive characterization for the segments of a signature. The primary contributions of this work are tow-fold: a) the development of the neural network architecture and the modalities of training it, b) adaptation of the dynamic time warping algorithm to fomulate a new method for enabling consistent segmentation of multiple signatures from the same writer. The performance of the signature verification system has been tested using a sizable database that includes a comprehensive set of simulated and realistic forgeries. False Acceptance and False Rejection error rates of 0.78% and 1.6% respectively were obtained in tests conducted using 1920 skilled forgeries.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.811-814
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• 2015

Background: North East India has a high prevalence of tobacco consumption, but only few individuals seek help for tobacco cessation. Impact of community based tobacco cessation intervention in this part needs more research. Materials and Methods: Retrospective analysis was done on the dataset from a community-based tobacco cessation intervention pilot project conducted in Guwahati metro during 2009-10. Subjects, both male and female tobacco users, age > 15 years, permanent residents of these blocks giving consent were included in the study. Results: The sample was 800 tobacco users, of whom 25% visited any health care provider during last 12 months and 3% received tobacco cessation advice. An 18% quit rate was observed at six weeks follow up, more than the National average, with a 47% quit rate at eight months, while 52% of subjects reduced use. Conclusions: Higher tobacco quit rate and reduced tobacco use, no loss to follow up and negligible relapse was observed with this community based intervention design. Such designs should be given more emphasis for implementation in specified communities with very high tobacco consumption rates, cultural acceptance of tobacco and less motivation towards quitting.

• Journal of Preventive Medicine and Public Health
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• v.3 no.1
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• pp.23-29
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• 1970

The authors compared the basic characteristics of rural woman in relation to family planning for June 1967 and June 1969 in Kyung San County, Kyungpook Province, Korea. The statistics showed that these characteristics are gradually changing. The marriage age was slightly higher than the past year and the formal education of women increased. The ideal children number, and the gravidity and mortality rates decresed. At the same time the number of induced abortions, the knowledge of family planning, and the acceptance rate of contraception increased. These phenomena seem to follow the present worldwide trend.

• Korean Journal of Agricultural Science
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• v.48 no.4
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• pp.761-770
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• 2021

A study was undertaken to identify variations in the level of awareness, the information collection status, the level of acceptance, and the characteristics of information collection as it pertains to agricultural biotechnology based on information collection in the field of agricultural biotechnology. When examining subjective awareness, objective awareness, and interest in agricultural biotechnology, the results showed that the levels of all three variables were higher in cases where information exploration of agricultural biotechnology had been experienced. Among the participants who have experience in voluntarily collecting information about agricultural biotechnology, helpful information at a rate of 51.6% and harmful information at a rate of 42.0% were acquired, values much higher than the 37% and 30% corresponding rates for participants who had no experience. However, it was also found that harmful information has a significantly greater impact on perceptions of the future. The characteristics of information collection for agricultural biotechnology indicated that those with experience in voluntary information collection particularly preferred the Internet, whereas those without any experience showed little difference with regard to television and/or the internet. According to a survey of participants' interest areas in agricultural biotechnology and their level of information acquisition, "Safety of human bodies" was rated the top interest area at 36.9%, which also had the highest level of information acquisition at 30.0%. In providing and sharing information in the future, this is a direct reference to the priorities and proportions of each field.

• Journal of Neurocritical Care
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• v.11 no.2
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• pp.110-118
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• 2018

Background: The role of clinical pharmacists in medication therapy to improve clinical and economic outcomes has been reported in the literature. This study was conducted to analyze the changes in details of medication interventions before and after the introduction of clinical pharmacists into the care of neurocritical care unit (NCU) patients, and to evaluate the economic effects of clinical pharmacists by calculating the avoidance cost. Methods: A retrospective study was conducted reviewing the electronic medical records from June 2013 to May 2014 (before), and from June 2016 to May 2017 (after). We calculated the number and rates of intervention, the acceptance rates of it, and also reviewed the list of interventions. We calculated avoidance cost if there was no intervention. Results: The monthly mean number of interventions increased from 8.0 (${\pm}5.7$) to 31.7 (${\pm}12.8$) (P<0.001) and the frequency of intervention also increased from 0.8% to 1.6% (P=0.003). The most frequently provided pharmacist intervention was nutritional support before introduction of clinical pharmacists and discussions on the medication plan after. The number of classified interventions was 14 before introduction of clinical pharmacist services and 33 after. The calculated cost avoidance associated with a clinical pharmacists' integration was 77,990,615 won per year. Conclusion: Introduction of clinicals pharmacist into the NCU was associated with increased intervention rates and expanded types of clinical interventions. The cost avoidance achieved by the pharmacists' interventions can be further explored to evaluate if similar expansions of pharmacists' services achieve similar results in other settings.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Journal of Korea Multimedia Society
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• v.14 no.9
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• pp.1125-1137
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• 2011

Recently, there have been previous research about the iris recognition in mobile device to increase portability, whose accuracy is affected by the quality of iris image. Iris image is affected by illumination environment during the image acquisition. The existing system has high accuracy in indoor environment. However the accuracy is degraded in outdoor environment, because the gray levels of iris patterns in image are changed, and ghost and eyelash shading regions are produced by the sunlight of various wavelengths into iris region. To overcome these problems, we propose new mobile iris camera system which uses the near-infrared (NIR) light illuminator of 850 nm and band pass filter (BPF) of 850 nm. To measure the performance of the proposed system, we compared it to the existing one with the iris images captured in indoor and outdoor sunlight environments in terms of the equal error rates (EER) based on false acceptance rate (FAR) and false rejection rate (FRR). The experimental result showed that the proposed system had the lower EERs than those of previous system by 0.96% (with frontal light in indoors), 4.94% (with frontal light in outdoor), 9.24% (with side light in outdoor), and 7% (with back light in outdoor), respectively.

• Journal of Home Health Care Nursing
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• v.8 no.2
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• pp.148-158
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• 2001

Purpose: This study is to investigate the attitudes on the Home Health Care among the physicians and nurses in P University. Method: Data were gathered from 71 physicians and 264 nurses. working at P University Hospital. from May 1 to May 15, 2001 and analyzed using descriptive statistics and Fisher exact test. Results: 1) As to the previous information about home health care program, those who have been familiar to it were 100% of physicians, and 99.6% of nurses, and 39% of the physicians and 66.1% of the nurses. were found to have responded with right answers, 2) As to the acceptance of the home health care program, 87% of physicians and 98.5% of nurses were found to be positive and there showed a significant difference(p= .019), 3) The main reasons for accepting the system were: the alleviation of the family burden of time, the maintenance of continuity of care, and the reasons for opposing the system were incomplete legal assurance. the possibility of providing illegal medical services. 4) The physician's intention rate of patient referrals to home care program reveled 49.2%. 5) According to the services related to Home Health Care. the orders of acceptance rates were medical tests related services (77.8%, 92%); therapeutic nursing interventions(69.0%, 88.2%): and services for medication(68.3%, 82.5%) among physicians and nurses. respectively. Conclusion: For the stabilization and successful implementation of home health care system. it should be accompanied with education for physicians about home care. setting specific laws and regulations for home care. legal assurance of home care business. outcome research for home care recipients. and support systems of hospital administration.

• Culinary science and hospitality research
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• v.22 no.2
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• pp.44-56
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• 2016

This study investigated the quality characteristics of white pan bread with Haenaru rice flour which is regional product of Dangjin. Haenaru rice flour was substituted 10%, 30% and 50% for each bread sample. The overall effects of Haenaru rice flour substitution on pan bread were examined by investigating fermentation rates, pH, volume, specific volume, TPA, crumbScan and colorimeter and using sensory evaluation. A control showed the highest fermentation rate by 60 min, but there was no differences among all samples except HNR50 after 60 min. The higher Haenaru rice flour content, the higher pH value of bread loaf and bread and the lower volume and specific volume of rice breads. According to TPA and crumbscan, high amounts of Haenaru rice flour substitution increased the hardness of bread and decreased fineness and elongation of bread cells. In sensory evaluation, though a control got the best texture, flavor and overall acceptance, HRF30 and HRF10 showed the best preference of appearance and taste respectively, But most of all, there were no significant differences among those samples. Consequently, the results indicate that a substitution of Haenaru rice flour for wheat flour by 30 percent will not show any decisive difference in consumer's acceptance.

• Information Systems Review
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• v.19 no.4
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• pp.135-156
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• 2017

An intelligent personal assistant (IPA) is a software agent that assists people to perform basic tasks or services for an individual by commonly providing information via natural language. In spite of the versatile capabilities of the IPA to answer a user's simple information-based queries, such as the weather and driving directions, the actual usage rates for IPA services are limited to date. In this research, to evaluate the factors affecting the intention to use IPA, we develop an empirical model based on technology acceptance model, innovation diffusion theory, and IS success model. Afterward, we collect 203 questionnaires from actual users of IPAs. Finally, the structural equation model validates the causal relationship between the constructs of the model. Consequently, the innovation characteristics of IPA drawn from innovation diffusion theory, namely, relative advantage, compatibility, observability, all exerted a positive influence on perceived usefulness. Furthermore, information quality, a quality characteristic of IPA obtained from DeLone and McLean's IS success model, presented a positive effect on perceived usefulness and perceived ease of use. Finally, the perceived intelligence of IPA displayed a positive influence on perceived usefulness and ease of use. This characteristic was also a major factor that can increase the intention to use the IPA. Given these research findings, this study is significant for identifying factors that may influence the intention to use the IPA by providing strategic guidelines to relevant business operators and establishing an integrated model.