• 한국지형학회지
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• 제17권4호
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• pp.1-16
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• 2010

본 연구는 화강암 유역분지인 내성천과 퇴적암 유역분지인 위천을 대상으로, 하도 지형, 수문, 퇴적물 특성과 하도의 경관 및 지표 피복 특성을 비교·분석하였다. 유역분지의 기반암, 토양, 지표 피복 특성의 차이로 인해, 유속이 느린 위천이 내성천에 비해 하천 수위 변화가 심한 것으로 나타났다. 그리고 입상붕괴된 화강암 퇴적물을 공급 받는 내성천은 상·하류 거의 대부분에서 조립 모래의 입도를 일정하게 나타내고 있지만, 퇴적암 퇴적물이 공급되는 위천은 상류에서 하류로 가면서 평균 입도가 급격히 작아지는 특징을 보인다. 이러한 모래입자 크기의 퇴적물 이동과 준설, 골재 채취 등의 하도 간섭이 활발한 내성천은 위천에 비해 하도 표면의 변화가 심하여 식생 피복이 매우 불량한 것으로 분석되었다.

• 한국전자통신학회논문지
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• 제17권2호
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• pp.219-228
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• 2022

인간 활동 영역의 광범위한 변환 및 디지털화 조건에서 오늘날 가장 시급하고 까다로운 문제 중 하나는 정보 보안과 데이터 무결성 보장입니다. 정보 보안 분야의 주요 연구 개발은 효율성과 합리화를 향상시키는 데 있습니다. 정보 단지의 데이터 전송 및 운영의 주요 수단 중 하나는 광섬유 시스템입니다. 현재까지 이러한 통신 방식을 통해 불법적인 침입 및 정보 도용 사건이 발생하고 있습니다. 따라서, 오늘날 광섬유 데이터 전송 시스템에서 불충분한 정보 보안과 관련된 문제가 있습니다. 시스템의 불법 간섭 행위에 대응하는 가장 효과적인 도구 중 하나는 인공 지능과 정보 보호의 암호 알고리즘입니다. 이 두 도구의 공생은 광섬유 데이터 전송 시스템의 정보 보안 수준을 질적으로 향상시킬 수 있습니다. 따라서 이 기사의 저자는 지능형 암호화 알고리즘의 통합을 기반으로 하는 광섬유 데이터 전송 시스템의 위반으로부터 정보를 보호하기 위한 혁신적인 시스템의 설명과 관련된 목표를 추구합니다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1339-1355
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• 2023

Localization is a hot research spot for many areas, especially in the mobile robot field. Due to the weak signal of the global positioning system (GPS), the alternative schemes in an indoor environment include wireless signal transmitting and receiving solutions, laser rangefinder to build a map followed by a re-localization stage and visual positioning methods, etc. Among all wireless signal positioning techniques, Wi-Fi is the most common one. Wi-Fi access points are installed in most indoor areas of human activities, and smart devices equipped with Wi-Fi modules can be seen everywhere. However, the localization of a mobile robot using a Wi-Fi scheme usually lacks orientation information. Besides, the distance error is large because of indoor signal interference. Another research direction that mainly refers to laser sensors is to actively detect the environment and achieve positioning. An occupancy grid map is built by using the simultaneous localization and mapping (SLAM) method when the mobile robot enters the indoor environment for the first time. When the robot enters the environment again, it can localize itself according to the known map. Nevertheless, this scheme only works effectively based on the prerequisite that those areas have salient geometrical features. If the areas have similar scanning structures, such as a long corridor or similar rooms, the traditional methods always fail. To address the weakness of the above two methods, this work proposes a coarse-to-fine paradigm and an improved localization algorithm that utilizes Wi-Fi to assist the robot localization in a geometrically similar environment. Firstly, a grid map is built by using laser SLAM. Secondly, a fingerprint database is built in the offline phase. Then, the RSSI values are achieved in the localization stage to get a coarse localization. Finally, an improved particle filter method based on the Wi-Fi signal values is proposed to realize a fine localization. Experimental results show that our approach is effective and robust for both global localization and the kidnapped robot problem. The localization success rate reaches 97.33%, while the traditional method always fails.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.207-215
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• 2024

Cloud computing is now used by most companies, business centres and academic institutions to embrace new computer technology. Cloud Service Providers (CSPs) are limited to certain services, missing some of the assets requested by their customers, it means that different clouds need to interconnect to share resources and interoperate between them. The clouds may be interconnected in different characteristics and systems, and the network may be vulnerable to volatility or interference. While information technology and cloud computing are also advancing to accommodate the growing worldwide application, criminals use cyberspace to perform cybercrimes. Cloud services deployment is becoming highly prone to threats and intrusions. The unauthorised access or destruction of records yields significant catastrophic losses to organisations or agencies. Human intervention and Physical devices are not enough for protection and monitoring of cloud services; therefore, there is a need for more efficient design for cyber defence that is adaptable, flexible, robust and able to detect dangerous cybercrime such as a Denial of Service (DOS) and Distributed Denial of Service (DDOS) in heterogeneous cloud computing platforms and make essential real-time decisions for forensic investigation. This paper aims to develop a framework for digital forensic for the detection of cybercrime in a joined heterogeneous cloud setup. We developed a Digital Forensics model in this paper that can function in heterogeneous joint clouds. We used Unified Modeling Language (UML) specifically activity diagram in designing the proposed framework, then for deployment, we used an architectural modelling system in developing a framework. We developed an activity diagram that can accommodate the variability and complexities of the clouds when handling inter-cloud resources.

• 한국제4기학회지
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• 제32권1_2호
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• pp.51-66
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• 2018

기후 변화 및 큰 규모의 인간 간섭으로 인하여 유역 내 유량 및 퇴적물 이동 패턴이 변하면서 하도의 불안정성을 높아진다. 퇴적물과 관련된 문제해결에 있어서 국지적 관점, 즉 특정 지점 또는 지역에서의 특정 문제점들이 존재하고, 이들 문제점들의 해결은 단기적·지역적에 국한되어 다른 시간적·공간적인 영향 및 충격이 발생한다. 그리하여 본 연구에서는 유역 내 퇴적물과 관련된 문제 해결을 위한 유역 규모의 관점에서의 종합적인 퇴적물 관리에 대한 개념적 틀의 소개와 제안하고자 하였다. 유역 규모에서는 종합적 퇴적물 관리가 이뤄져야 할 것이며 이를 위해서는 과학-정책-운영-주민과의 협력이 수반되는 퇴적물 이동과 관련된 종합적인 이해가 우선적으로 이뤄져야 할 것이다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권6호
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• pp.2753-2758
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• 2014

Background: GC-binding factor 2 (GCF2) is a transcriptional regulator that represses transcriptional activity of the epidermal growth factor receptor (EGFR) by binding to a specific GC-rich sequence in the EGFR gene promoter. In addition to this function, GCF2 has also been identified as a tumor-associated antigen and regarded as a potentially valuable serum biomarker for early human hepatocellular carcinoma (HCC) diagnosis. GCF2 is high expressed in most HCC tissues and cell lines including HepG2. This study focused on the influence of GCF2 on cell proliferation and apoptosis in HepG2 cells. Materials and Methods: GCF2 expression at both mRNA and protein levels in HepG2 cells was detected with reverse transcription (RT) PCR and Western blotting, respectively. RNA interference (RNAi) technology was used to knock down GCF2 mRNA and protein expression. Afterwards, cell viability was analyzed with a Cell Counting Kit-8 (CCK-8), and cell apoptosis and caspase 3 activity by flow cytometry and with a Caspase 3 Activity Kit, respectively. Results: Specific down-regulation of GCF2 expression caused cell growth inhibition, and increased apoptosis and caspase 3 activity in HepG2 cells. Conclusions: These primary results suggest that GCF2 may influence cell proliferation and apoptosis in HepG2 cells, and also provides a molecular basis for further investigation into the possible mechanism at proliferation and apoptosis in HCC.

• Journal of Pharmaceutical Investigation
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• 제32권2호
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• pp.119-125
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• 2002

A rapid, selective and reproducible high-performance liquid chromatographic method has been developed for the determination of terazocin in human plasma. Terazocin plus the internal standard, prazocin hydrochloride, were extracted from alkalified plasma with tert-butylmethyl ether, back-extracted into 0.05% phosphoric acid. Fifty ${\mu}l-portions$ of extract were injected onto a octadecylsilane column and eluted with a mixture of acetonitrile, water and triethylamine (30 : 70 : 0.1 v/v, adjusted to pH 5.0 with dilute phosphoric acid) at a flow rate of 1.0 ml/min. The fluorescence intensity of column eluents was monitored at excitation wavelength of 250 nm and emission wavelength of 370 nm. No interference peaks were observed. The practical limit of quantitation was 5 ng/ml for terazocin. The average intraday and interday coefficients of variation were 4.15 and 3.54%, respectively. Also intraday and interday precisions over the range $5{\sim}60\;ng/ml$ were $0.49{\sim}2.92\;and\;0.38{\sim}5.12%$, respectively. The bioequivalence of two terazosin tablets, the $Hytrine^{\circledR}$ (Il Yang Pharmaceutical Co., Ltd.) and the $Teratonin^{\circledR}$ (Sam-A Pharmaceutical Co., Ltd.), was evaluated according to the guideline of Korea Food and Drug Administration (KFDA). Sixteen healthy male volunteers $(24.6{\pm}2.0\;years\;old)$ were divided into two groups and a randomized $2{\times}2$ cross-over study was employed. After one tablet containing 2 mg of terazosin was orally administered, blood was taken at predetermined time intervals and the concentration of terazosin in plasma was determined with a HPLC method using spectrofluorometric detector. AUC was calculated by the linear trapezoidal method. $C_{max}\;and\;T_{max}$ were compiled from the plasma drug concentration-time data. Analysis of variance (ANOVA) was utilized for the statistical analysis of the parameters. The results showed that the differences in $AUC_t,\;C_{max}\;and\;T_{max}$ between the two preparations were 0.21 %, 5.53% and 8.82%, respectively. The powers $(1-{\beta})\;for\;AUC_t,\;C_{max}\;and\;T_{max}$ were >99%, 97.49%, and 33.26%, respectively. Minimum detectable differences $({\Delta},\;%)\;at\;{\alpha}=0.1\;and\;1-{\beta}=0.8$ and the 90% confidence intervals were all less than ${\pm}20%$ except for $T_{max}.\;AUC_t\;and\;C_{max}$ met the criteria of KDFA for bioequivalence, indicating that $Teratonin^{circledR}$ tablets are bioequivalent to $Hytrine^{circledR}$ tablets.

• 한국독성학회:학술대회논문집
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• 한국독성학회 2002년도 국제심포지움
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• pp.88.2-98
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• 2002

A wide arry of naturally occurring substances particularly those present in dietary and medicinal plants, have been reported to possess substantial cancer chemopreventive properties. Certain phytochemicals retain strong antioxidative and anti-inflammatory properties which appear to contribute to their chemopreventive or chemoprotective activities. Inducible cyclooxygenase(COX-2) and nitric oxide synthase (iNOS) are important enzymes that mediate inflammatory processes. There is some evidence that expression of both COX-2 and iNOS is co-regulated by the eukaryotic transcription factor NF-$textsc{k}$B. Increased expression of COX-2 and/or iNOS has been associated with pathophysiology of certain types of human cancers as well as inflammatory diseases. Since inflammation is closely linked to tumor promotion, substances with potent anti-inflammatory activies are anticipated to exert chemopreventive effects on carcinogenesis, particularly in the promotion stage. An example is curcumin, a yellow pigment of turmeric (Curcuma longa L., Zingiberaceae), that strongly occurring diaryl heptanoids structurally related to curcumin have substantial anti-tumor promotional activities in two-stage mouse skin carcinogenesis. Thus, yakuchinone A [1-(4'-hydroxy-3'-methoxyphenyl)-7-phenyl-3heptanone] and yakuchinone B [1-(4'-hydroxy-3'methoxyphenyl)-7-phenylhept-1-en-3-one] present in Alpinia oxyphylla Miquel (Zingiberacease) attenuate phorbol ester-induced inflammation and papilloma formation in female ICR mice. These diarylheptanoids also suppressed phorbol ester-induced activation of epdermal ornithine decarboxylase and its mRNA expression when applied onto shaven backs of mice. Yakuchinone A and B as well as curcumin inhibited phorbol ester-induced expression of COX-2 and iNOS and their mRNA in mouse skin via inactivation of NF-$textsc{k}$B. Capsaicin, a major pungent ingredient of red pepper also attenuated phorbol ester-induced NF-$textsc{k}$B activation. Similar suppression of COX-2 and iNOS and down-regulation of NF-$textsc{k}$B activation for its DNA binding were observed with the ginsenosied Rg3 and the ethanol extract of Artemisia asiatica. We have also found that certain anti-inflammatory phytochemicals exert inhibitory effects on phorbol ester-induced COX-2 expression and NF-$textsc{k}$B activation in immortalized human breast epithelial (MCF-10A) cells in culture. One of the plausible mechanisms undelying inhibition by aforementioned phytochemicals of phorbol ester-induced NF-$textsc{k}$B activation involves interference with degragation of the inhibitory unit, I$textsc{k}$Ba, which blocks subsequent nuclear translocation of the functionally active p65 subunit of NF-$textsc{k}$B. the activation of epidermal NF-$textsc{k}$B by phorbol ester and subsequent induction of COX-2 hence appear to play an important role in intracellular signaling pathwasy leading to tumor promotion and targeted inhibition of NF-$textsc{k}$B may provide a new promising cancer chemopreventive strategy.

• 생명과학회지
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• 제17권1호
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• pp.110-115
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• 2007

Tumor suppressor 유전자로알려진 early growth response gene 1 (EGR-1)에 있어 항산화 천연물인 apigenin과 그대사물인 isovitexin에 의한 장관 상피성 종양세포에 대하여 항종양 역할을 규명하였다. Apigenin 과 isovitexin은 대장암세포에서의 EGR-1 단백질의 발현을 9-12시간의 노출에 의해 농도 의존적으로 증가하였다. 또한 신호전달측면에서 이런 apigenin에 의한 EGR-1 유전자의 유도가 U0126 화합물에 의해 완벽하게 저해 받는 것으로 보아 ERK1/2 MAP kinase pathway의 이 신호전달계에서의 관여를 보여주었다. 본 연구에서 apigenin에 의해 농도 의존적으로 대장암세포의 세포활성의 저해를 MTT assay를 통해 보였고, 또한 EGR-1 siRNA를 transfectien한 세포의 경우 이런 apigenin에 의한 세포활성의 저해효과를 완화하였다. 따라서 apigenin에 의한 항종암세포 세포활성 억제에 있어 EGR-1의 중요성을 보여 준다. 이런 EGR-1에 의해 유도되는 유전자중 대표적으로 NAG-1 유전자의 경우 apigenin과 isovitexin에 의해 24-48시간에 발현이 증가하였다. 결론적으로 암세포 증식억제활성이 있고 apoptosis 유도효과가 있는 NAG-1의 유도에 의해 대장암 세포의 세포활성이 억제된 것으로 의미되고 향후 apigenin 유도의 NAG-1유전자에 의한 암세포증식의 억제기전에 대한 명확한 연구가 요구된다.