• 제목/요약/키워드: series name

검색결과 79건 처리시간 0.026초

Analysis of Threat Model and Requirements in Network-based Moving Target Defense

  • Kang, Koo-Hong;Park, Tae-Keun;Moon, Dae-Sung
    • 한국컴퓨터정보학회논문지
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    • 제22권10호
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    • pp.83-92
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    • 2017
  • Reconnaissance is performed gathering information from a series of scanning probes where the objective is to identify attributes of target hosts. Network reconnaissance of IP addresses and ports is prerequisite to various cyber attacks. In order to increase the attacker's workload and to break the attack kill chain, a few proactive techniques based on the network-based moving target defense (NMTD) paradigm, referred to as IP address mutation/randomization, have been presented. However, there are no commercial or trial systems deployed in real networks. In this paper, we propose a threat model and the request for requirements for developing NMTD techniques. For this purpose, we first examine the challenging problems in the NMTD mechanisms that were proposed for the legacy TCP/IP network. Secondly, we present a threat model in terms of attacker's intelligence, the intended information scope, and the attacker's location. Lastly, we provide seven basic requirements to develop an NMTD mechanism for the legacy TCP/IP network: 1) end-host address mutation, 2) post tracking, 3) address mutation unit, 4) service transparency, 5) name and address access, 6) adaptive defense, and 7) controller operation. We believe that this paper gives some insight into how to design and implement a new NMTD mechanism that would be deployable in real network.

한국 제주도에서 채집된 전갱이과(Carangidae) 어류 1미기록종, Pseudocaranx dentex (New Record of the White Trevally, Pseudocaranx dentex (Carangidae, Perciformes) from Korea)

  • 김맹진;송춘복
    • 한국어류학회지
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    • 제26권4호
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    • pp.340-344
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    • 2014
  • 농어목 전갱이과에 속하는 Pseudocaranx dentex 1개체가 2014년 7월 14일 제주도 성산해역의 정치망에서 채집되었다. 이 종은 체측에 1개의 노랑줄무늬가 있는 점, 양턱에는 송곳니가 일렬로 줄지어 있는 점, 주새개골 위부분에는 1개의 선명한 검은색 반점을 가지는 점 그리고 주둥이는 눈지름보다 길게 돌출되는 점이 특징이다. 이 미기록종의 속명과 종명은 각각 "흑점줄전갱이속"과 "흑점줄전갱이"로 제안한다.

고려홍삼분말중의 항종양 활성물질 (A Tumor Growth Inhibitory Substance Isolated from Panax ginseng)

  • Katano Mitsuo;Yamamoto Hiroshi;Matsunaga Hisashi
    • 고려인삼학회:학술대회논문집
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    • 고려인삼학회 1988년도 학술대회지
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    • pp.33-35
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    • 1988
  • 우리는 경험적으로 인삼이 훌륭한 치료효과로서 항종양효과가 있다는 것을 알고 있다. 인삼으로부터 종양발육 억제효과가 있는 물질을 분리하는 과정에서 우리는 새로운 타입의 항종양 물질을 발견하였다. 이물질은 Panax ginseng C.A. Mayer의 분말로부터 분리하였는데 이 분말은 일본에서 홍삼분말이라는 이름으로 의약품으로서 여러가지 질병치료에 사용되고 있다. IR, $^{1}H,\;^{13}C-NMR$ 및 MS에 의한 분석결과로 이 물질은 panaxytriol로 동정 되었다. 고려홍삼에서 분리된 panaxytriol은 in vitro 시험에서 몇가지의 인체암세포와 악성백혈병 세포의 성장을 억제하였다. 비록 panaxytriol에 의한 세포성장억제에 대한 상세한 작용기전은 알려져있지 않으나 panaxytriol의 효과는 처리시간보다는 농도 의존성이 있는 것으로 밝혀졌다.

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Taxonomic reconsideration of Chinese Lespedeza maximowiczii (Fabaceae) based on morphological and genetic features, and recommendation as the independent species L. pseudomaximowiczii

  • JIN, Dong-Pil;XU, Bo;CHOI, Byoung-Hee
    • 식물분류학회지
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    • 제48권3호
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    • pp.153-162
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    • 2018
  • Lespedeza maximowiczii C. K. Schneid. (Fabaceae) is a deciduous shrub which is known to be distributed in the temperate forests of China, Korea and on Tsushima Island of Japan. Due to severe morphological variations within species, numerous examinations have been conducted for Korean L. maximowiczii. However, the morphology of Chinese plants has not been studied as thoroughly, despite doubts about their taxonomy. To clarify this taxonomic issue, we investigated morphological characters and undertook a Bayesian clustering analysis with microsatellite markers. The morphological and genetic traits of Chinese individuals varied considerably from those of typical L. maximowiczii growing in Korea. For example, petals of the former had a different shape and bore long claws, while the calyx lobes were diverged above the middle and the upper surface of the leaflet was pubescent. Their terete buds and spirally arranged bud scales were distinct from those within the series/section Heterolespedeza, which includes L. maximowiczii. Our Bayesian clustering analysis additionally included L. buergeri as an outgroup. Those results indicated that the Chinese samples clustered into a lineage separated from L. maximowiczii (optimum cluster, K = 2), despite the fact that the latter is grouped into the same lineage with L. buergeri. Therefore, we treat those Chinese plants as a new species with the name L. pseudomaximowiczii.

PV cell modeling의 수학적 고찰 (Mathematical Consideration on PV Cell Modeling)

  • 박현아;김효성
    • 전력전자학회논문지
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    • 제19권1호
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    • pp.51-56
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    • 2014
  • PV cell modeling is necessary both for software and hardware simulators in analyzing and testing the performance of PV generation systems. Unique I-V curve of a PV cell identifies its own characteristics by electrical equivalent model that is composed of diode constants ($I_o$, $v_t$), photo-generated current ($I_{ph}$), series resistance ($R_s$), and shunt resistance ($R_{sh}$). Photo-generated current can be easily estimated since it is proportional to irradiation level. However, other electrical parameters should be solved from the manufacturer's data sheet that is consisted with three remarkable operating points such as open circuit voltage ($V_{oc}$), short circuit current ($I_{sc}$), and maximum power voltage/current ($V_{MPP}/I_{MPP}$). This paper explains and analyzes mathematical process of a novel PV cell modeling algorithm that was proposed by the authors with the name of "K-algorithm".

모국어와 외국어 단어 산출의 의미처리 과정 (Semantic Processing in Korean and English Word Production)

  • 김효선;최원일;김충명;남기준
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2005년도 추계 학술대회 발표논문집
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    • pp.131-135
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    • 2005
  • Previous studies on the bilinguals' lexical selection have suggested some evidence in favor of language-specific hypothesis. The purpose of this study was to see whether Korean-English bilinguals' semantic systems of Korean and English are shared or separated between the two languages. In a series of picture-word interference tasks, participants were to name the pictures in Korean or in English with distractor words printed either in Korean or English. The distractor words were either semantically identical, related, unrelated to the picture, or nonexistant. The response time of naming was facilitated when distractor words were semantically identical for both same-(Naming pictures in English/korean with English/Korean distractor words) and different-language pairs(Naming pictures in English with Korean distractor words and vice versa). But this facilitation effect was stronger when naming was produced in their native language, which in this case was Korean. Also, inhibitory effect was shown when the picture and its distractor word were semantically related in both same- and different-language paired conditions. These results show that bilinguals'two lexicons compete to some extent when selecting the target word. In this viewpoint, it can be concluded that the lexicons of either languages may not be entirely but partly overlapping in bilinguals.

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조헌영의 『신경쇠약증치료법(神經衰弱症治療法)』 연구 (A Study on Cho Heon-yeong's Singyeongsoeyagjeungchiryobeob (神經衰弱症治療法))

  • 김도원;안상우;차웅석
    • 한국의사학회지
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    • 제34권2호
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    • pp.11-23
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    • 2021
  • In this study, we examine Cho Heon-yeong's medical theory about neurasthenia by looking at the contents and prescriptions of 『Neurasthenia Treatment (神經衰弱症治療法)』. Discourse about neurasthenia caused many problems in Joseon society during Japanese colonial period. This book consists of fist volume about general summary, second volume about treatment and prescription list. Cho Heon-yeong's theory in this book has following characteristics. First, eclecticism of Korean Medicine and Western medicine appears in the reinterpretation of Western medicine diseases and the acceptance of some Western medical theories and treatments. Second, the Korean medical disease name of neurasthenia is 'Simgizeung (心氣證)' for relevance with seven emotions (七情) and mind (神). Third, he evaluates neurasthenia as not a dangerous and incurable disease, but rather a positive phenomena of the mind and body. Fourth, he treated neurastenia by compromising dispersion (解鬱) and invigoration (補虛).

한국산 전갱이과 어류 1 미기록종, Scomberoides lysan (First Record of the Doublespotted Queenfish, Scomberoides lysan (Perciformes: Carangidae) from Korea)

  • 김맹진;김준상;송춘복
    • 한국어류학회지
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    • 제30권4호
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    • pp.242-246
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    • 2018
  • 농어목 전갱이과에 속하는 Scomberoides lysan 2개체(표준체장 334, 354 mm)가 2010년 9월 제주도 서귀포시 대포동의 정치망에서 처음으로 채집되었다. 이 종은 최근 우리나라에 보고된 가시전갱이(S. tol)와 형태적으로 유사하지만 주둥이 뒤쪽 끝이 눈의 말단에 이르며, 체측에 5~8개의 작은 검은색 반점들이 두 줄로 나열되는 특징을 갖는다. 따라서 체측에 두 줄의 작은 반점을 가지는 형태적 특징에 근거해서 이 미기록종의 국명을 "두점줄가시전갱이"로 제안한다.

Drug distribution management system based on IoT

  • Liu, Zeliang;Zhang, Chunmei;Peng, Hui;Xu, Qin;Gao, Yubao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권2호
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    • pp.424-444
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    • 2022
  • In hospitals and pharmacies, the distribution of medicines is an important part. Any mistakes, misses, fake medicines and expired medicines can cause medical accidents. With the widespread application of the Internet of Things technology (IoT), traditional drug distribution methods need to be upgraded. This article proposes a drug distribution management scheme based on the Internet of Things technology. In the production of drugs, a flexible RFID tag was printed on the packaging box, which stored a series of information such as drug name, dosage, raw materials, efficacy, production date, expiration date, and manufacturer. The use of a drug distribution management system combined with RFID readers can identify drug information and effectively prevent the occurrence of erroneous, missed, counterfeit, and expired drugs. It can also improve management efficiency, reduce management costs, and control management risks. Through the circuit design and software system development, the test results show that this solution is effective and feasible, the proposed method can achieve the expected results.

Prediction of aerodynamic coefficients of streamlined bridge decks using artificial neural network based on CFD dataset

  • Severin Tinmitonde;Xuhui He;Lei Yan;Cunming Ma;Haizhu Xiao
    • Wind and Structures
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    • 제36권6호
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    • pp.423-434
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    • 2023
  • Aerodynamic force coefficients are generally obtained from traditional wind tunnel tests or computational fluid dynamics (CFD). Unfortunately, the techniques mentioned above can sometimes be cumbersome because of the cost involved, such as the computational cost and the use of heavy equipment, to name only two examples. This study proposed to build a deep neural network model to predict the aerodynamic force coefficients based on data collected from CFD simulations to overcome these drawbacks. Therefore, a series of CFD simulations were conducted using different geometric parameters to obtain the aerodynamic force coefficients, validated with wind tunnel tests. The results obtained from CFD simulations were used to create a dataset to train a multilayer perceptron artificial neural network (ANN) model. The models were obtained using three optimization algorithms: scaled conjugate gradient (SCG), Bayesian regularization (BR), and Levenberg-Marquardt algorithms (LM). Furthermore, the performance of each neural network was verified using two performance metrics, including the mean square error and the R-squared coefficient of determination. Finally, the ANN model proved to be highly accurate in predicting the force coefficients of similar bridge sections, thus circumventing the computational burden associated with CFD simulation and the cost of traditional wind tunnel tests.