• Asian Pacific Journal of Cancer Prevention
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• 제16권5호
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• pp.1765-1770
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• 2015

Background: Oral cancer presents with high mortality rates, and the likelihood of survival is remarkably superior when detected early. Health care providers, particularly dentists, play a critical role in early detection of oral cancers and should be knowledgeable and skillful in oral cancer diagnosis. Purpose: The aim of the present study was to assess the current knowledge of future Yemeni dentists and their opinions on oral cancer. Materials and Methods: A pretested self-administered questionnaire was distributed to fourth and fifth year dental students. Questions relating to knowledge of oral cancer, risk factors, and opinions on oral cancer prevention and practices were posed. Results: The response rate was 80%. The vast majority of students identified smoking and smokeless tobacco as the major risk factors for oral cancer. Most of the students (92.6%) knew that squamous cell carcinoma is the most common form of oral cancer, and 85.3% were aware that tongue and floor of the mouth are the most likely sites. While the majority showed willingness to advise their patients on risk factors, only 40% felt adequately trained to provide such advice. More than 85% of students admitted that they need further information regarding oral cancer. As expected, students of the final year appeared slightly more knowledgeable regarding risk factors and clinical features of the disease. Conclusions: The findings of the present study suggest that here is a need to reinforce the undergraduate dental curriculum with regards to oral cancer education, particularly in its prevention and early detection.

• Korean Journal of Environmental Agriculture
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• 제21권4호
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• pp.279-285
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• 2002

Pesticide residues in some fruits collected at Noeun wholesale market, Daejeon were surveyed and assessed its risk. In 120 samples, the detection rate of pesticide was 70.8% and the rate exceed MRL was 1.67%. Highly detection rate of commodities was apple, peach and grape. Organophosphorus, organochlorine and pyrethroid insecticide were found with similar rate relatively, but most of fungicides were procymidone(dicarboximides) and chlorothalonil(organochlorine). The order of detected pesticide were chlorothalonil, chlorpyrifos, fenvalerate, procymidone, deltamethrin and EPN. In order to assess risk estimated intake amount of each pesticide was compared to ADI. Although some peach were exceed MRL the total amount and uptake pesticides was less than 1.22% comparing to ADI.

• Asian Pacific Journal of Cancer Prevention
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• 제15권23호
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• pp.10251-10254
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• 2015

Uterine cancer is the most common invasive gynaecological cancer in Australia. Early detection is a key predictive factor achieved by increasing public awareness and participation in screening. This observational study measures awareness of gynaecological malignancies, particularly uterine, among women in two rural areas of New South Wales, Australia. Patients presenting to gynaecology clinics in January to March 2014 were invited to complete a structured questionnaire. Women with a history of cancer and incomplete questionnaires were excluded. Of the 382 patients invited to participate, 329 (86%) responded with complete feedback. Most respondents were younger than than 50 years (66%) and married with at least 2 children (74%). The majority (94%) of participants had no awareness of uterine cancer and many (46%) were unable to identify common risk factors including obesity, diabetes and hypertension. The ability to identify risk factors was correlated to age, marital status and obesity. The study identifies poor awareness on uterine malignancies in two typical areas of rural Australia. Although external validity is limited by sociological factors, poor awareness of uterine cancer among rural patients in this study represents a valid public health concern. It is imperative to improve awareness of uterine cancer and available screening programs to facilitate early detection and cure.

• Asian Pacific Journal of Cancer Prevention
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• 제16권17호
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• pp.7485-7489
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• 2015

Background: Breast cancer is the most common type of cancer in women throughout the world. However, in comparison with Western women, it presents relatively early in women of Asian ethnicity. Early menarche, late menopause, use of OCP's, family history of benign or malignant breast disease, exposure to radiation and BMI in the under-weight range are well known risk factors for the development of breast cancer in premenopausal women. Early detection with the use of breast self-examination (BSE) and breast cancer screening programs can lead to a reduction in the mortality rates due to breast cancer. The aim of our study was to assess the risk factors for breast cancer among young women and to emphasize the importance of early screening among them. Materials and Methods: We conducted a cross-sectional study among women aged 18 to 25 using a self-administered questionnaire. Data was collected over a period of 6 months from June to December, 2014. A total of 300 young women selected randomly from Dow Medical College and various departments of Karachi University successfully completed the survey. Results: Respondents were 18-25 years of age (mean age=21.5). Out of the 300 young females, 90 (30%) had at least one risk factor, 90 (30%) had two, 40 (13%) had three, 8 (2.7%) had four, 2 (0.7%) had five while one female was found to have six positive risk factors for breast cancer. Some 66 women (22%) experienced symptoms of breast cancer such as non-cyclical pain and lumps. While 222 women (74%) had never performed breast self-examination, 22 (7.3%) had had a breast examination done by a health professional while 32 (10.7%) had participated in breast screening programs. A total of 223 (74.3%) women considered breast cancer screening important for young women. Conclusions: The percentage of young women with risk factors for breast cancer was found to be alarmingly high. Therefore, screening for breast cancer should start at an early age especially in high risk groups. Awareness about breast self-examination should be emphasized. Moreover, screening programs should be started to ensure early detection and reduction of mortality rates caused by breast cancer also in young Pakistani females.

• Journal of the Korea Society of Computer and Information
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• 제22권9호
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• pp.149-154
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• 2017

The infusion of fluid and blood is necessary in the ward, operating room, recovery room, neonatal room, etc. for nutrition and blood supply to the patient, but air bubbles generated during infusion of fluid and blood circulate along the artery or vein. Serious illnesses occur and there is also a risk of death. In this paper, we propose a medical bubble detection system, a bubble detection system, a bubble detection alarm system, and a communication method in order to develop a safer fluid and blood injection system in the existing system, which is detected by a medical staff monitoring system or an ultrasonic bubble detection sensor In this study, infrared rays are transmitted to a tube through a tube for injecting fluid or blood into a patient, infrared rays transmitted by an infrared ray emitting section are received, and the amount of light is measured in real time. Based on the data, we study how to detect and analyze the presence of bubbles in fluid and blood.

• International Journal of Automotive Technology
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• 제8권4호
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• pp.493-504
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• 2007

This paper proposes a stereo vision-based forward obstacle detection and distance measurement method. In general, stereo vision-based obstacle detection methods in automotive applications can be classified into two categories: IPM (Inverse Perspective Mapping)-based and disparity histogram-based. The existing disparity histogram-based method was developed for stop-and-go applications. The proposed method extends the scope of the disparity histogram-based method to highway applications by 1) replacing the fixed rectangular ROI (Region Of Interest) with the traveling lane-based ROI, and 2) replacing the peak detection with a constant threshold with peak detection using the threshold-line and peakness evaluation. In order to increase the true positive rate while decreasing the false positive rate, multiple candidate peaks were generated and then verified by the edge feature correlation method. By testing the proposed method with images captured on the highway, it was shown that the proposed method was able to overcome problems in previous implementations while being applied successfully to highway collision warning/avoidance conditions, In addition, comparisons with laser radar showed that vision sensors with a wider FOV (Field Of View) provided faster responses to cutting-in vehicles. Finally, we integrated the proposed method into a longitudinal collision avoidance system. Experimental results showed that activated braking by risk assessment using the state of the ego-vehicle and measuring the distance to upcoming obstacles could successfully prevent collisions.

• Journal of Korea Multimedia Society
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• 제23권2호
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• pp.282-292
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• 2020

In order to minimize casualties from marine vessel accidents that occur frequently at home and abroad, it is important to ensure the safety of the passengers aboard the vessel in the event of an accident. There is an EPIRB system as a system for disaster preparedness in the marine situation currently on the market, but there is a problem that the price is very expensive. In order to overcome the cost problem, which is a disadvantage of previous system, LoRaWAN-based communication is used. LoRaWAN communication-based vessel positioning and risk detection system based on LoRaWAN communication transmits measurement data of each module using two Beacon and GPS modules to stably perform position measurement for both indoor and outdoor situations. The rider danger situation detection system can detect the safety status of the rider using the 3-axis acceleration sensor, collect data from the rider positioning system and the rider safety status detection system, and send to server using LoRa communication. When conducting communication experiments in the long-distance maritime situation and actual communication experiments using the implemented system, it was found that the two experiments showed over 90% communication success rate on average.

• Journal of Korea Society of Digital Industry and Information Management
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• 제11권4호
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• pp.33-45
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• 2015

Currently, Internet is used an essential tool in the business area. Despite this importance, there is a risk of network attacks attempting collection of fraudulence, private information, and cyber terrorism. Firewalls and IDS(Intrusion Detection System) are tools against those attacks. IDS is used to determine whether a network data is a network attack. IDS analyzes the network data using various techniques including expert system, data mining, and state transition analysis. This paper tries to compare the performance of two data mining models in detecting network attacks. They are decision tree (C4.5), and neural network (FANN model). I trained and tested these models with data and measured the effectiveness in terms of detection accuracy, detection rate, and false alarm rate. This paper tries to find out which model is effective in intrusion detection. In the analysis, I used KDD Cup 99 data which is a benchmark data in intrusion detection research. I used an open source Weka software for C4.5 model, and C++ code available for FANN model.

• Journal of Satellite, Information and Communications
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• 제12권2호
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• pp.99-103
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• 2017

Recently, acccording to price decline and miniaturization of drone, it is increased dramatically that drone usage in various category including military and private sectors. In accordance with popular usage, There is a increasing risk of safety accident, national security and public privacy problem. Hence there is a high demand for study and analysis applicable to the related technology and anti-drone method including drone detection and jamming. In general, it is extremely difficult to detect and recognize drones using conventional sensors. In this paper, we classify drone detection technology and Drone detection experiments are performed using CW RADAR to obtain and analyze micro-doppler pattern. This preliminary study aims to provide fundamental theory on radar drone detection and experimental test results such that in-depth anti-drone technology can be established in future.

• Journal of Korea Society of Industrial Information Systems
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• 제27권1호
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• pp.11-18
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• 2022

The use of multi-spectral cameras is essential for day and night pedestrian detection. In this paper, a color camera and a thermal imaging infrared camera were used to detect pedestrians near a crosswalk for 24 hours at an intersection with a high risk of traffic accidents. For pedestrian detection, the YOLOv5 object detector was used, and the detection performance was improved by using color images and thermal images at the same time. The proposed system showed a high performance of 0.940 mAP in the day/night multi-spectral (color and thermal image) pedestrian dataset obtained from the actual crosswalk site.