• Journal of The Korean Association For Science Education
• /
• v.23 no.2
• /
• pp.200-213
• /
• 2003

This study is one of the successive studies for investigating students' processes of generating and evaluating scientific hypothesis. In this study, I analyzed the characteristics of students' experimental design to test whether the given hypotheses were correct or not. As results, it was found that (1) 3 components (experimental method, prediction of the result of experiment, evaluation of hypothesis) were needed to complete description of the experimental design, (2) students tried to test hypothesis considered as being correct as well as hypothesis considered as being false by students, (3) student tried to confirm hypothesis, which was considered as being correct, based on theoretical approach rather than experimental approach, (4) students' experimental design could be classified as two types, that is, direct experimental testing and comparative experimental design, and the latter could be classified as two subtypes; positive comparative one and negative comparative one, (5) students showed tendency to design positive comparative experiment when they considered hypothesis as being correct, and vise versa, (6) students preferred the prediction which could confirm the hypothesis when they considered the hypothesis as being correct, and vise versa, (7) many students rejected contradicting prediction even though they did not actually conduct experiment yet.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.48 no.2
• /
• pp.158-167
• /
• 2015

A lateral flow immunoassay kit based on antigen-antibody interactions was developed to detect residues of beta-lactams, quinolones, tetracyclines, and sulfonamides in farmed fish. Group-specific antibodies showing cross-reactivity with other antibiotics in the same group were produced in rabbits. The rabbits were immunized eight times to obtain the maximum titers. Antibodies were extracted from the antisera collected from the immunized rabbits and produced group-specific reactions with antibiotics from the four groups. A kit was prepared that optimize conditions for the antigen-antibody reaction, using colloidal gold conjugated antibodies, and was designed to detect the four groups of antibiotics simultaneously. The kit enabled the detection of antibiotics in the four groups at below maximum residue limits (MRLs), which were $200{\mu}g/kg$ for tetracyclines, $100{\mu}g/kg$ for sulfonamides, $50{\mu}g/kg$ for beta-lactams, and $100{\mu}g/kg$ for quinolones. The cross-reactivity of the antibodies ranged from 10-80% for the sulfonamides, 20-100% for tetracyclines, 38-100% for quinolones, and 20-100% for the beta-lactams, confirming that the antibodies were group specific. The test kit was used 30 times to examine spiked antibiotics at the limits of detection (LODs) and all produced positive results, indicating high sensitivity. The LODs for the assay ranged from 4-20 ng/mL for beta-lactams, 25-50 ng/mL for sulfonamides, 20-100 ng/mL for tetracyclines, and 30-80 ng/mL for quinolones, and there were no false negative reactions at above these LODs. In addition, all of the LODs of the developed kit were correlated with high-performance liquid chromatography (HPLC) data. Our lateral flow immunoassay kit can simultaneously detect antibiotic residues from a large number of fish samples rapidly, strengthening the safety of domestic farmed and imported fish.

• Korean Journal of Food Science and Technology
• /
• v.46 no.2
• /
• pp.256-261
• /
• 2014

This study was conducted to determine the effect of gamma-ray and electron-beam irradiation on dried spices (black pepper, red pepper, parsley, and basil) using the photostimulated luminescence (PSL), thermoluminescence (TL) and electron spin resonance (ESR) methods. The spices were irradiated at 0, 1, 5, and 10 kGy. All non-irradiated spices had photon counts (PCs) less than 700 PCs. The PCs of three irradiated spices (red pepper, parsley, and basil) were clearly distinguishable from those of non-irradiated ones, exhibiting PSL signals higher than 5000 PCs. However, negative PSL counts (<700 PCs) were obtained for most irradiated black pepper, except those irradiated with 5 kGy gamma rays and 10 kGy electron-beams. TL glow curves of the irradiated spices showed a higher peak at $150-250^{\circ}C$. TL ratios were found to be less than 0.1 for non-irradiated spices and higher than 0.1 for irradiated ones. No ESR signal was observed for any irradiated spice except red pepper, which displayed cellulose-based ESR spectra. Therefore, the results suggest that the PSL, TL, and ESR methods are effective detection techniques for dried spices irradiated with electron beams as well as gamma rays.

• Korean Journal of Head & Neck Oncology
• /
• v.14 no.2
• /
• pp.228-235
• /
• 1998

Objectives: Papillary microcarcinoma of the thyroid was evaluated as to the effectiveness of diagnostic modalities, lymphatic spread pattern, and therapeutic decision according to tumor size. Material and Methods: We retrospectively analyzed a clinicopathologic findings of 72 papillary microcarcinoma patients who were treated at the over 11 years between 1985 and 1995. The authors divided papillary microcarcinoma of the thyroid into two subgroups according to tumor size: $0{\leqq}5mm$ and $5<0{\leqq}10mm$. An analysis including age and gender distribution, diagnostic tools(thyroid sonogram, thyroid scan, thyroid function test, fine needle aspiration cytology, frozen section), pathological examination of lymphnode, and surgical procedures was carried out in each subgroups. Results: The carcinoma of smaller than 5mm were found in 32 patients, and of 6 -10mm were in 40 patients. The average age of patients was 45years and all of them were female. Cold nodules on thyroid scan were noticed in 53 patientss and normal findings were in 15 patients. Suspicious malignant lesions(fine calcification, solid mass, irregular margin) on thyroid sonography were detected in 23 patients and the sonography was more useful in detecting $0{\leqq}5mm$ small sized lesions than other diagnostic methods. FNAC were performed in 17 patients, and 7 patients were diagnosed as having thyroid papillary cancer. But diagnotic rate in $0{\leqq}5mm$ small sized lesions was very low(one of eights).Frozen section were performed in all patients, among these 15 patients were diagnosed as being benign diseases and false negative rates were higher in $0{\leqq}5mm$ small sized lesions than in $5<0{\leqq}10mm$ sized lesions(p-value<0.006). Only thyroidectomies were performed in 24 patients and thyroidectomy with node dissections in 48 patients. The lymphnode metastatic rates were much higher in multifocal lesions(61.5%) than in single lesion. The incidence of cervical lymphnode metastasis was 19.4% in $0{\leqq}5mm$ sized lesions and 47.9% in $5<0{\leqq}10mm$ sized lesions. Postoperative management were performed with TSH suppression therapy(T4, synthroid) in all patients and RI therapy in 29 patients. Conclusion: On the basis of our study, improved preoperative diagnostic tools for papillary microcarcinoma of the thyroid was helpful in the choice of surgical treatment. As a result of techninological progress(ultrasonography, FNAC), the pencentage of the discovery of papillary microcarcinoma has been increased. The thyroid ultrasonography was useful in detecting small sized lesions($0{\leqq}5mm$), but FNAC may not be beneficial in detecting small sized lesions($0{\leqq}5mm$). In the surgical procedure, thyroid lobectomy alone should be avoided because of the high rate of bilaterality and multifocality.

• Journal of Korean Academy of Nursing
• /
• v.24 no.1
• /
• pp.47-57
• /
• 1994

The purpose of this study was to examine nurses’ perceptions of medication treatment for psychiatric patients and to compare these perceptions with the perceptions held by the patients. The methodology used in this study was a descriptive design with semi-structured and open-ended interviews. This study used a convenience sample of 112 nurses who worked in, and 209 patients who were under psychiatric treatment, in four hospitals attached to a university and one national mental hospital in the city of Seoul. The collected data were analyzed by SAS, using percentages for descriptive purposes, and t-test or x$^2$ for comparing the variables. The results were as follows : 1. There was no significant differences between nurses’ and patients’ perceptions on the extent to which patients complied with their medication treatment. Generally speaking, the mean compliance scores for both nurses and patients was high(nurse : (equation omitted)=3.70, Patient : (equation omitted)=3.76). 2. There was a significant difference in nurses’ and patients’ perceptions on the reasons why patients do not take medication. The nurse group indicated that the patients did not take medication because of the “worry about side effects or habituation(49.53%)”, “boredom from long-term use of medication(26.17%)” and “distrust toward medical staff(12.15% )”, but the patient group indicated that they “did not want to be dependent on medication (25%)”, “forgot to take medication(19.7%) and “worried about side effects or habituation(15.91%). 3. As for the necessity of medication, both groups showed some different responses. Even though both groups were aware of the necessity of taking medication, the patient group(21.53%) showed a more negative response. As (or the effects of medication, both groups (nurses and patients ) showed positive responses. However, the nurse group showed a higher positive response (91.07% ) than the patient group(74.16%), 5. Both the patient and nurse group indicated that the most helpful element for the patient’s life under psychiatric treatment was interviews and conversations with therapists and nurses. However, the nurse group showed a higher response(70.15%) than the patients group(47.15%). According to the patient group, family support for the patient was another important factor for psychiatric treatment and daily struggles. In conclusion, as there were differences between the perception of nurses and patients, the nurse must consider the patients’ subjective perceptions first. They should also revaluate their false belief and prejudice concerning the patients’ perceptions. Such information can provide a base to be applied by the nurses in devloping effective mutual relationships with patients which can in turn help in compliance with medication regimen. As it was confirmed that medication was the most important factor in the patients’ recovery, a thorough education program on the therapeutic effect of medication and the necessity of their continued use after discharge is also needed.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.6
• /
• pp.21-28
• /
• 2013

This paper proposes an effective fire detection approach that includes the following multiple heterogeneous algorithms: moving region detection using grey level histograms, color segmentation using fuzzy c-means clustering (FCM), feature extraction using a grey level co-occurrence matrix (GLCM), and fire classification using support vector machine (SVM). The proposed approach determines the optimal threshold values based on grey level histograms in order to detect moving regions, and then performs color segmentation in the CIE LAB color space by applying the FCM. These steps help to specify candidate regions of fire. We then extract features of fire using the GLCM and these features are used as inputs of SVM to classify fire or non-fire. We evaluate the proposed approach by comparing it with two state-of-the-art fire detection algorithms in terms of the fire detection rate (or percentages of true positive, PTP) and the false fire detection rate (or percentages of true negative, PTN). Experimental results indicated that the proposed approach outperformed conventional fire detection algorithms by yielding 97.94% for PTP and 4.63% for PTN, respectively.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.6
• /
• pp.25-39
• /
• 2018

The purpose of this study is to develop an efficient incident detection algorithm by applying machine learning, which is being widely used in the transport sector. As a first step, network of the target site was constructed with micro-simulation model. Secondly, data has been collected under various incident scenarios produced with combination of variables that are expected to affect the incident situation. And, detection results from both McMaster algorithm, a well known incident detection algorithm, and the Naive Bayes algorithm, developed in this study, were compared. As a result of comparison, Naive Bayes algorithm showed less negative effect and better detect rate (DR) than the McMaster algorithm. However, as DR increases, so did false alarm rate (FAR). Also, while McMaster algorithm detected in four cycles, Naive Bayes algorithm determine the situation with just one cycle, which increases DR but also seems to have increased FAR. Consequently it has been identified that the Naive Bayes algorithm has a great potential in traffic incident detection.

• Journal of the Korea Convergence Society
• /
• v.13 no.1
• /
• pp.119-129
• /
• 2022

Cervical cytology has been widely used as a screening tool for cervical cancer. However, Human papillomavirus (HPV) detection and subtype testing are suggested to overcome the high false-negative rate associated with cytology. We aimed to investigate the clinical usefulness and infection rate in the HPV polymerase chain reaction (PCR) test performed in hospitals. HPV PCR data from 217 patients were analyzed. Analysis of variance revealed a significant difference in the infection rate among different age groups (P=0.015). The biopsy results showed that epithelial cell abnormalities and high HPV-positivity rate was observed in 1 (100%) subject aged <29 years, in 4 out of 5 (80%) patients in their 30s, and in 3 out of 4 (75%) patients aged ≥70 years. The prevalence of HPV infection was very high (46.1%). The highest prevalence (87.5%) was observed among patients in their <29, followed by those in their 30s (67.7%) and those in their 40s (31.9%).A high rate of epithelial cell abnormalities (≥ cervical intraepithelial neoplasia type 1, mild dysplasia) was observed in HPV-infected women aged<30 years. Therefore, extensive research and prevention activities are needed in this age group. HPV PCR testing is recommended to complement cervical cytology

• Korean Journal of Veterinary Service
• /
• v.45 no.1
• /
• pp.1-11
• /
• 2022

A novel porcine circovirus 4 (PCV4) was recently identified in Chinese and Korean pig herds. Although several conventional polymerase chain reaction (cPCR) and real-time PCR (qPCR) assays were used for PCV4 detection, more sensitive and reliable qPCR assay is needed that can simultaneously detect PCV4 and internal positive control (IPC) to avoid false-negative results. In the present study, a duplex qPCR (dqPCR) assay was developed using primers/probe sets targeting the PCV4 Cap gene and pig (glyceraldehyde-3-phosphate dehydrogenase) GAPDH gene as an IPC. The developed dqPCR assay was specifically detected PCV4 but not other PCVs and porcine pathogens, indicating that the newly designed primers/probe set is specific to the PCV4 Cap gene. Furthermore, GAPDH was stably amplified by the dqPCR in all tested viral and clinical samples containing pig cellular materials, indicating the high reliability of the dqPCR assay. The limit of detection of the assay 5 copies of the target PCV4 genes, but the sensitivity of the assay was higher than that of the previously described assays. The assay demonstrated high repeatability and reproducibility, with coefficients of intra-assay and inter-assay variation of less than 1.0%. Clinical evaluation using 102 diseased pig samples from 18 pig farms showed that PCV4 circulated in the Korean pig population. The detection rate of PCV4 obtained using the newly developed dqPCR was 26.5% (27/102), which was higher than that obtained using the previously described cPCR and TaqMan probe-based qPCR and similar to that obtained using the previously described SYBR Green-based qPCR. The dqPCR assay with IPC is highly specific, sensitive, and reliable for detecting PCV4 from clinical samples, and it will be useful for etiological diagnosis, epidemiological study, and control of the PCV4 infections.

• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.157-173
• /
• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.