• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.21-31
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• 2018

Cyber penetration attacks can not only damage cyber space but can attack entire infrastructure such as electricity, gas, water, and nuclear power, which can cause enormous damage to the lives of the people. Also, cyber space has already been defined as the fifth battlefield, and strategic responses are very important. Most of recent cyber attacks are caused by malicious code, and since the number is more than 1.6 million per day, automated analysis technology to cope with a large amount of malicious code is very important. However, it is difficult to deal with malicious code encryption, obfuscation and packing, and the dynamic analysis technique is not limited to the performance requirements of dynamic analysis but also to the virtual There is a limit in coping with environment avoiding technology. In this paper, we propose a machine learning based malicious code analysis technique which improve the weakness of the detection performance of existing analysis technology while maintaining the light and high-speed analysis performance applicable to commercial endpoints. The results of this study show that 99.13% accuracy, 99.26% precision and 99.09% recall analysis performance of 71,000 normal file and malicious code in commercial environment and analysis time in PC environment can be analyzed more than 5 per second, and it can be operated independently in the endpoint environment and it is considered that it works in complementary form in operation in conjunction with existing antivirus technology and static and dynamic analysis technology. It is also expected to be used as a core element of EDR technology and malware variant analysis.

• Journal of Plant Biotechnology
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• v.47 no.3
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• pp.242-247
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• 2020

This experiment was performed to determine the concentration of coconut water that is most effective in promoting the growth of 'Maehyang' strawberry in tissue culture. Cultivars in this experiment consisted of 'Maehyang' grown in the presence of 0, 20, 40, 60, 80, 100 ml·L^-1 of coconut water which was added to a medium mixed with BA 0.5 mg·L^-1 and IBA 0.1 mg·L^-1. Morphological variation tests and SSR detection with coconut water were conducted to determine variations in proliferation. The proliferation rate of 'Maehyang' strawberry improved with the coconut water treatment compared to non-treatment. In particular, the proliferation rate with 100 ml·L^-1 coconut water treatment increased by about 4 times. When 'Maeyang' was treated with 100 ml·L^-1 of coconut water, two morphological variants occurred without genetic variation. Therefore, the results suggest that 100 ml·L^-1 of coconut water can be used to mass-produce "Maeyang" strawberry without causing genetic variations.

• The KIPS Transactions:PartB
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• v.11B no.2
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• pp.141-148
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• 2004

The ground positions and elevations information called DEMs(Digital Elevation Models) which are extracted from the stereo aerial photographs and/or satellite images using image matching method have the natural errors caused by variant environments. This study suggests the method to evaluate DEMs using correlation values between the reference and the target DEMs. This would be strongly helpful for experts to correct these errors. To evaluate the whole area of DEMs in the horizontal and vertical errors, the target cell is matched for each reference cell using the correlation values of these two cells. When the target cell is matched for each reference cell, horizontal and vertical error was calculated so as to help experts to recognize a certain area of DEMs which should be corrected and edited. If the correlation value is low and tile difference in height is high, the target cell will be candidated as changed or corrupted cell. When the area is clustered with those candidated cells, that area will be regarded as changed or corrupted area to be corrected and edited. Using this method, the evaluation for all DEM cells is practicable, the horizontal errors as well as vertical errors is calculable and the changed or corrupted area can be detected more efficiently.

• The KIPS Transactions:PartC
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• v.18C no.3
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• pp.167-178
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• 2011

As the growth of ubiquitous services, various types of ad hoc networks have emerged. In particular, wireless sensor networks (WSN) and mobile ad hoc networks (MANET) are widely known ad hoc networks, but there are also other kinds of wireless ad hoc networks in which the characteristics of the aforementioned two network types are mixed together. This paper proposes a variant of the Low Energy Adaptive Cluster Hierarchy (LEACH) routing protocol modified to be suitable in such a combined network environment. That is, the proposed routing protocol provides node detection and route discovery/maintenance in a network with a large number of mobile sensor nodes, while preserving node mobility, network connectivity, and energy efficiency. The proposed routing protocol is implemented with a multi-hop multi-path algorithm, a topology reconfiguration technique using node movement estimation and vibration sensors, and an efficient path selection and data transmission technique for a great many moving nodes. In the experiments, the performance of the proposed protocol is demonstrated by comparing it to the conventional LEACH protocol.

• Journal of Gastric Cancer
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• v.21 no.1
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• pp.103-109
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• 2021

Gastric adenocarcinoma of the fundic gland mucosa type (GA-FGM) was proposed as a new variant of gastric adenocarcinoma of the fundic gland type (GA-FG). However, at present, the influence of Helicobacter pylori and the speed of progression and degree of malignancy in GA-FGM remain unclear. Herein, we report the first case of intramucosal GA-FGM that was endoscopically observed before and after H. pylori eradication over 15 years. The lesion showed the same tumor size with no submucosal invasion and a low MIB-1 labeling index 15 years after its detection using endoscopy. The endoscopic morphology changed from 0-IIa before H. pylori eradication to 0-IIa+IIc and then 0-I after H. pylori eradication. These findings suggest that the unaltered tumor size reflects low-grade malignancy and slow growth, and that the endoscopic morphology is influenced by H. pylori eradication.

• The Journal of the Korean bone and joint tumor society
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• v.11 no.1
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• pp.25-31
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• 2005

Purpose: This study was designed to know the usefulness of the MRI to distinguish lipoma and well differentiated liposarcoma (WDL). Materials and methods: 47 lipomatous tumors with MRI were reviewed among the 107 lipomatous tumors operated in our department. MRI examinations and their corresponding pathology reports were compared to determine sensitivity, specificity, diagnostic ability, positive predictable value and negative predictable value. Statistical analysis was performed to know the relationship between malignancy of the tumor (WDL) with the age and gender of the patients, and location, depth, size and the enhancement of tumors in MRI. Results: Among 28 lipoma in MRI examinations, 26 were proved as lipoma in pathology, and only 6 were WDL from 19 suspicious lesions in MRI, and others were proved as lipoma variants mostly. The varieties of lipoma variants were fibrolipoma, angiolipoma, spindle cell lipoma, lipoblastoma and angiomyolipoma. The sensitivity, specificity, diagnostic ability, positive predictable value and negative predictable value of MRI were 100%, 68 %, 72%, 31% and 100% in WDL, and 90%, 89%, 89%, 93% and 84% in lipoma. Among the variants to distinguish WDL and lipoma, the size of tumor and enhancement in MRI were significant statistically (p<0.05). Conclusion: MRI was highly sensitive in detection of WDL and highly specific in detection of simple lipoma. The size of tumor and enhancement in MRI were significant variants to distinguish WDL and lipoma. When MRI finding is non-specific, it is more likely to represent one of lipoma variants.