• Korean Journal of Food Science and Technology
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• v.32 no.4
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• pp.788-791
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• 2000

The quantitative analysis of chitooligosaccharide was compared to using colorimetry and HPLC method. HPLC method required less than 10mins per sample in analytical time of glucosamine and its the recovery rate was 98.4% (10 mg/ml, w/v). Also there was no the effects of interfering substances(false positive response) by HPLC method. The content of chitooligosaccharide in processed chitooligosaccharide products obtained using HPLC showed lower levels compared to colorimetry. Thus, HPLC method was more sensitive, effective and precise than the colorimetry currently used to determine the glucosamine of chitooligosaccharide.

• Korean Journal of Head & Neck Oncology
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• v.27 no.2
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• pp.218-221
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• 2011

The anterior approach to the cervical spine surgery is associated with possible complications such as dysphagia, hoarseness and granuloma formation etc. Because of orthopedic metallic plates, the increasing or focal uptake pattern may be demonstrated in $^{18}F$-FDG PET/CT scan. A 67-year-old-man came to our department, complained of dysphagia during the 4 months. He underwent cervical spine surgery three years ago. The CT and MRI findings mimicked typical posterior pharyngeal wall cancer with cervical metastasis. Furthermore, the SUV in $^{18}F$-FDG PET/CT was 10.3. But he was finally diagnosed as a granuloma resulting from the metallic cervical implants. The clinical correlation and medical history should be taken into account to avoid false-positive findings in PET/CT and to avoid many erroneous diagnostic pathways.

• Journal of Microbiology
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• v.39 no.3
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• pp.202-205
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• 2001

The EF-18 agar/hydrophobic grid membrane filter (EF18/HGMF) method was evaluated for the isolation of Salmonella in naturally contaminated chicken carcasses, chicken parts (legs, wings and giblets) and processed chicken products (sausages and hamburgers). Percentages of false positive results for Salmonella (colonies with a similar morphology to those of Salmonella) were 78.75, 81.67 and 80% for carcasses, chicken parts and processed chicken products, respectively. The bacterial isolates that caused false positive reactions using this method were identified as Proteus mirabilis (70.85%), Citrobacter freundii (15.25%), Klebsiella ozaenae (5.83%), Hafnia alvei (4.48%), Escherichia coli (2.69%) and Enterobacter aerogenes (0.90%). The data obtained in this study suggest that the EF-18/HGMF method is not sufficiently selective or specific far isolating Salmonella from meat and chicken products.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.5
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• pp.978-985
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• 2003

The implementation of abnormal behavior detection IDS is more difficult than the implementation of misuse behavior detection IDS because usage patterns are various. Therefore, most of commercial IDS is misuse behavior detection IDS. However, misuse behavior detection IDS cannot detect system intrusion in case of modified intrusion patterns occurs. In this paper, we apply data mining so as to detect intrusion with only audit data related in intrusion among many audit data. The agent in the distributed IDS can collect log data as well as monitoring target system. False positive should be minimized in order to make detection accuracy high, that is, core of intrusion detection system. So We apply data mining algorithm for prediction of modified intrusion pattern in the level of audit data learning.

• The Korean Journal of Nuclear Medicine
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• v.38 no.3
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• pp.272-273
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• 2004

We experienced a case with meningioma showing false positive I-131 uptake. A 55-years old female patient underwent high dose (150 mCi) radioactive iodine therapy to ablate remnant tissue after total thyroidectomy for papillary thyroid cancer. in addition to intense tracer uptake in thyroid bed, there was mild but focal abnormal uptake in left frontal lobe of the brain on post-therapy I-131 whole body scan. Subsequent brain MR imaging showed single mass lesion in left frontal lobe and the mass was resected under the impression of brain metastasis of thyroid carcinoma. Pathologic report confirmed meningioma from the surgical specimen.

• Journal of KIISE:Information Networking
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• v.29 no.6
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• pp.674-684
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• 2002

Anomaly detection techniques have teen devised to address the limitations of misuse detection approach for intrusion detection. An HMM is a useful tool to model sequence information whose generation mechanism is not observable and is an optimal modeling technique to minimize false-positive error and to maximize detection rate, However, HMM has the short-coming of login training time. This paper proposes an effective HMM-based IDS that improves the modeling time and performance by only considering the events of privilege flows based on the domain knowledge of attacks. Experimental results show that training with the proposed method is significantly faster than the conventional method trained with all data, as well as no loss of recognition performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.5
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• pp.1801-1816
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• 2014

Because HTTP-related ports are allowed through firewalls, they are an obvious point for launching cyber attacks. In particular, malware uses HTTP protocols to communicate with their master servers. We call this an HTTP-based command and control (C&C) server. Most previous studies concentrated on the behavioral pattern of C&Cs. However, these approaches need a well-defined white list to reduce the false positive rate because there are many benign applications, such as automatic update checks and web refreshes, that have a periodic access pattern. In this paper, we focus on finding new discriminative features of HTTP-based C&Cs by analyzing HTTP activity sets. First, a C&C shows a few connections at a time (low density). Second, the content of a request or a response is changed frequently among consecutive C&Cs (high content variability). Based on these two features, we propose a novel C&C analysis mechanism that detects the HTTP-based C&C. The HAS-Analyzer can classify the HTTP-based C&C with an accuracy of more than 96% and a false positive rate of 1.3% without using any white list.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1993.05a
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• pp.104-104
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• 1993

Fine needle aspiration cytology(FNAC) is a valuable method in preoperative diagnosis of thyroid nodule. Authors evaluated one hundred and ten thyroid nodules by FNAC compared with the postoperative histopathologic diagnosis during the period from Jan. 1, 1989 through Dec. 31, 1992. The results were as followed. The sensitivity was 86.5%, specificity 90.4%, false-negative rate 13.5%, false-positive rate 9.6%, positive predictability 91.5%, negative predictability 60.1% and overall diagnostic accuracy 87.3 %.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.347-370
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• 2019

In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.4
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• pp.151-159
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• 2003

Internet as being generalized, intrusion detection system is needed to protect computer system from intrusions synthetically. We propose an intrusion detection method to identify and control the contradiction on self-explanation that happen at profiling process of anomaly detection methodology. Because many patterns can be created on profiling process with association method, we present effective application plan through clustering for rules. Finally, we propose similarity function to decide whether anomaly action or not for user pattern using clustered pattern database.