• Asian Pacific Journal of Cancer Prevention
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• v.16 no.10
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• pp.4429-4434
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• 2015

Background: Public awareness/knowledge on oral and pharyngeal cancer (OPC), potentially malignant disorders (PMODs) and their risk factors is crucial for prevention and early detection of OPC and PMODs. Yet, there are no published data available on the awareness and knowledge of OPC and PMODs among people living in Far North Queensland, Australia. Materials and Methods: This study was conducted as a cross sectional survey. A self-administered questionnaire was designed and consisted of relevant questions to ascertain socio-demographic information, awareness and knowledge of OPC, PMODs and risk factors and questions on participant's exposure to risk factors and dietary history were also included. Survey was carried out at the Dental Clinic of the James Cook University School of Dentistry (JCU Dental), Cairns, Australia. Subjects above the age of 20 years (n=366) were randomly selected during the period from 31st July to 6th September 2013 and questionnaire was distributed to complete while they are waiting for treatment. Data analysis was carried out using SPSS version 21 and the chi -squared test was employed to compare groups. P<0.05 was considered statistically significant. Results: The study revealed that 52.3% of the respondents were aware of the existence of OPC but only 19.0% were aware of PMODs. Of those who were aware of oral cancer, 92% agreed or strongly agreed that smoking is a strong risk factor for OPC. Similarly a relatively high proportion of the respondents agreed or strongly agreed that tobacco chewing (84%), tobacco chewing with areca nut (68%), chewing areca nut alone (51%) and exposure to actinic radiation (71%) as risk factors. However, the results for alcohol intake, age, and HPV infection were found to be relatively poor with proportions 33%, 34%, and 23% respectively. Conclusions: This study revealed an alarming lack of awareness and knowledge of OPC and PMODs.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5685-5689
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• 2014

Background: It is well known that smoking is a preventable factor for all-cause mortality; however, it is still questionable how many years after smoking cessation that people will have reduced risk for mortality, in particular in those with a high interest in their own health. We aimed to examine the association between time since quitting smoking and total mortality among past-smokers relative to current smokers. Materials and Methods: We enrolled 36,446 health examinees that voluntarily taken with diverse health check-up packages of high cost burden in 1995-2003 and followed them till death by 2004. The history of cigarette smoking consumption was collected using a self-administrative questionnaire at the first visit time. Mortality risk by smoking cessation years was analyzed using Cox's proportional hazard model. Results: Compared to non-smokers, male smokers over 15 pack-years had higher risk for total mortality (HR=1.60, 95%CI 1.23-2.14). The mortality risk in female smokers with same pack-years was more pronounced than that in male smokers (HR=2.83, 95%CI 1.17-7.04) despite a small number of cases. Compared to current smokers, a decrease of total mortality was observed among those who ceased smoking, and inverse dose-response was found with years after cessation: RR 0.98 (95%CI, 0.64-1.41) (<2 yrs), 0.60 (95%CI, 0.43-0.83) (3-9 yrs), and 0.58 (95%CI, 0.43-0.79) (${\geq}10$ yrs). Conclusions: A reduced risk of total mortality was observed after 3 years of smoking cessation. Our findings suggest that at least 3 years of smoking cessation may contribute to reduce premature mortality among Asian men.

• The KIPS Transactions:PartD
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• v.14D no.4 s.114
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• pp.381-388
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• 2007

Consumers changed to the subject to produce a digital contents as data transmission technique is advanced and a digital machine is diffused variously. Users are interested greatly in a user creative movie (UCM) production among various online contents. The UCM production method which uses the music and picture is the method that users make the UCM more easily. However, the UCM production service has the problem that any association does not exist in the music and picture and that the picture changes according to fixed time interval without the relation at a music rhythm. To solve this problem, we propose the UCM production method which uses a music analysis and picture analysis in the paper. A music analysis finds a picture change time according to the rhythm and a picture analysis finds the association of the picture. A music analysis finds strong parts of the sound which uses Root-Mean-Square (RMS). And a picture analysis classifies the picture as a scenery picture and people picture which uses structure simplicity of the picture(SSP) and face region detection. A picture analysis got correct result of 86.4% in the experiment and we can finds the association at each picture and arranges the sequence which the picture appears. Therefore, if we use a music and picture analysis at the UCM production, users may make natural and efficient movie.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• Korean Journal of Psychosomatic Medicine
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• v.21 no.2
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• pp.140-146
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• 2013

Objectives: We compared the characteristics of the pain threshold and pain experience between demented group and non-demented group. Methods: This study was part of Gangwon projects for early detection of dementia in 2010. We recruited 8302 local resident ages over 65 years old. Of theses, 1259 people who scored low MMSE were selected and 365 of them completed CERAD-K(Consortium to Establish a Registry for Alzheimer's disease). Finally, 90 in non-demented group and 57 in demented group(mild to moderate Alzheimer's disease) were analyzed. Pain threshold was experimentally measured by pressure algometer and we investigated the pain experience, by Brief pain inventory (BPI), a self-report test. Results: In the demographic characteristics, there are more female, higher ages, lower education in the demented group. There was no significant difference between the two groups in the pain threshold. On the BPI results, 'shoulder pain', 'the number of pain' and 'interference of working' were significantly more prevalent in non-demented group. However, there are no significant differences between the groups in the 'pain severity', 'prevalence of pain' and 'pain treatment'. Conclusions: Demented group report less pain experience but, still perceived pain. It support previous studies that patient with dementia have increased pain tolerance but preserved pain threshold. Thus, active pain assessment and treatment for patients with dementia is needed.

• Journal of the Society of Disaster Information
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• v.16 no.1
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• pp.96-110
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• 2020

Recently, due to global warming, it is easily exposed to various disasters such as fire, flood, and earthquake. In particular, large-scale disasters have continuously been occurring in crowded areas such as traditional markets, facilities for the elderly and children, and public facilities where various people stay. Purpose: This study aims to detect a fire occurred in crowded facilities early in the event to analyze and provide an optimal evacuation route using big data and advanced technology. Method: The researchers propose a new algorithm through context-aware 3D object model technology and A* algorithm optimization and propose a scenario-based optimal evacuation route selection technique. Result: Using the HPA* E algorithm, the evacuation simulation in the event of a fire was reproduced as a 3D model and the optimal evacuation route and evacuation time were calculated for each scenario. Conclusion: It is expected to reduce fatalities and injuries through the evacuation induction technique that enables evacuation of the building in the shortest path by analyzing in real-time via fire detection sensors that detects the temperature, flame, and smoke.

• Journal of the Korean Society of Radiology
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• v.6 no.6
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• pp.483-487
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• 2012

In 1895, the discovered X-ray is used for not only in this field of medicine wide but also field. The detection of radiation after, people realized the risk of the radiation exposured recommended the principle about the protection of radiation by the part of the effort for lowering the radiation exposure. In this recommendation, all unnecessary radiation exposure have to be prevented by All doses include the protection of radiation, general idea of applicable two kinds of that it has to low maintain. Presently, in the General X-ray room of the clinical, the lead (Pb) was used for the shielding, However, because it had the problem of the lead poisoning which is fatal in the human body, the alternatives was showed. and Among them, the material that it is the tungsten was presented. in this research, the absorbed spectrum according to the thickness in the continuous X-ray energy of the tungsten which is not harmful to the human body through the Monte Carlo simulation, tried to compare with the absorbed spectrum of the lead (Pb). The tungsten confirmed that simulation presumption than result lead in the whole domain that absorbed probability was higher and it is considered that tungsten shows the absorbed efficiency higher than the lead in particularly, 70 keV ~ 90 keV and the tungsten is more useful to the X-ray energy cover of the high energy diagnostic area.

• Journal of agricultural medicine and community health
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• v.19 no.1
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• pp.41-52
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• 1994

The aim of this study was to assess the people's need for visiting health services in a rural area. In recent years, the great concern for the visiting health services has aroused in Korea. Stratified cluster sample for a household survey was used to select 1,255(8.4%) Households from Yonchon county. This study was undertaken from July 26 to August 7 in 1993. Medically defined need, usually expressed by the prevalencies or rates of specific disease, was evaluated with the use of criteria established by medical and nursing professors and expressed by the percent of specific objects for the visiting health services. Perceived need represented by the acceptability for the visiting services and willingness to paying for it, also, evaluated. The major results were as follows : 1. Of the 348 patients with hypertension, 201 were the non-compliant patients, the rate of the non-compliant hypertension patients in 4,577 study population was 7.4%. 2. Of the 141 diabetic patients, 73 were the non-compliant patients, the rate of the non-compliant hypertension patients in 4,577 sample population was 2.7%. 3. The number of patients with severe musculo-skeletal disease was 24, the rate was 0.9% above the age 30. 4. Of the 514 elderly, 33 were the elderly without any family member, the rate was 8.4%. Those with severely decreased activity of daily living were 13. 5. Infants with high risks were 12, pregnant women and neonates were 5, patients discharged within 1 week and with special equipments such as peritoneal dialysis, stoma, TPN etc. were 17, and patients with cancer were 5. Total number of the objects needed visiting health services was 752(18.43%) of the 4,577 study population. Perceived need evaluated were as follows; The acceptance rate of visiting health services was 74.9%, The kinds of visiting health services such as family health protection and promotion, early detection of hypertension, physiotherapy, health education and counseling were needed in the order of high rate The price willing to pay for visiting health services per visit was about 3,000-5,000Won. In conclusion, Visiting health services programme to be developed should have priority to the prevention of complications of chronic disease such as hypertension, diabetes milletus, elderly disease and health promotion.

• Smart Media Journal
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• v.6 no.1
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• pp.16-21
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• 2017

Long time has passed since computers which used to be a means of research were commercialized and available for the general public. People used writing instruments to write before computer was commercialized. However, today a growing number of them are using computers to write instead. Computerized word processing helps write faster and reduces fatigue of hands than writing instruments, making it better fit to making long texts. However, word processing programs are more likely to cause spelling errors by the mistake of users. Spelling errors distort the shape of words, making it easy for the writer to find and correct directly, but those caused due to users' lack of knowledge or those hard to find may make it almost impossible to produce a document free of spelling errors. However, spelling errors in important documents such as theses or business proposals may lead to falling reliability. Consequently, it is necessary to conduct research on high-level spelling error correction programs for the general public. This study was designed to produce a system to correct sentence-level spelling errors to normal words with Korean alphabet similarity algorithm. On the basis of findings reported in related literatures that corrected words are significantly similar to misspelled words in form, spelling errors were extracted from a corpus. Extracted corrected words were replaced with misspelled ones to correct spelling errors with spelling error detection algorithm.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.7
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• pp.345-350
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• 2016

This research suggests the keyword filtering about disaster and the method of detecting area in real-time event detecting system by analyzing contents of twitter. The diffusion of smart-mobile has lead to a fast spread of SNS and nowadays, various researches based on studying SNS are being processed. Among SNS, the twitter has a characteristic of fast diffusion since it is written in 140 words of short paragraph. Therefore, the tweets that are written by twitter users are able to perform a role of sensor. By using these features the research has been constructed which detects the events that have been occurred. However, people became reluctant to open their information of location because it is reported that private information leakage are increasing. Also, problems associated with accuracy are occurred in process of analyzing the tweet contents that do not follow the spelling rule. Therefore, additional designing keyword filtering and the method of area detection on detecting real-time event process were required in order to develop the accuracy. This research suggests the method of keyword filtering about disaster and two methods of detecting area. One is the method of removing area noise which removes the noise that occurred in the local name words. And the other one is the method of determinating the area which confirms local name words by using landmarks. By applying the method of keyword filtering about disaster and two methods of detecting area, the accuracy has improved. It has improved 49% to 78% by using the method of removing area noise and the other accuracy has improved 49% to 89% by using the method of determinating the area.