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Implementation of a pipelined Scalar Multiplier using Extended Euclid Algorithm for Elliptic Curve Cryptography(ECC) (확장 유클리드 알고리즘을 이용한 파이프라인 구조의 타원곡선 암호용 스칼라 곱셈기 구현)

  • 김종만;김영필;정용진
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.11 no.5
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    • pp.17-30
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    • 2001
  • In this paper, we implemented a scalar multiplier needed at an elliptic curve cryptosystem over standard basis in $GF(2^{163})$. The scalar multiplier consists of a radix-16 finite field serial multiplier and a finite field inverter with some control logics. The main contribution is to develop a new fast finite field inverter, which made it possible to avoid time consuming iterations of finite field multiplication. We used an algorithmic transformation technique to obtain a data-independent computational structure of the Extended Euclid GCD algorithm. The finite field multiplier and inverter shown in this paper have regular structure so that they can be easily extended to larger word size. Moreover they can achieve 100% throughput using the pipelining. Our new scalar multiplier is synthesized using Hyundai Electronics 0.6$\mu\textrm{m}$ CMOS library, and maximum operating frequency is estimated about 140MHz. The resulting data processing performance is 64Kbps, that is it takes 2.53ms to process a 163-bit data frame. We assure that this performance is enough to be used for digital signature, encryption & decryption and key exchange in real time embedded-processor environments.

Characterization of Isoflavones from Seed of Selected Soybean (Glycine max L.) Resources Using High-Resolution Mass Spectrometry (고해상도 질량 분석을 이용한 대두(Glycine max L.) 우수자원 종자의 이소플라본 특성 평가)

  • Lee, So-Jeong;Kim, Heon-Woong;Lee, Suji;Na, Hyemin;Kwon, Ryeong Ha;Kim, Ju Hyung;Yoon, Hyemyeong;Choi, Yu-Mi;Wee, Chi-Do;Yoo, Seon Mi;Lee, Sang Hoon
    • The Korean Journal of Food And Nutrition
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    • v.33 no.6
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    • pp.655-665
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    • 2020
  • In this study, chemical information on a total of 20 individual compounds was constructed to identify isoflavones from the previous reports related with used parts(seeds, leaves, stems, pods) and products of soybean(Glycine max L.). Through constructed library and UPLC-DAD-QToF/MS analysis, a total of 19 individual isoflavones including aglycones, glucosides, acetylglucosides and malonylglucosides as major compounds was identified and quantified from 14 selected soybean seeds. Among them, genistein 7-O-(2"-O-apiosyl)glucoside and genistein 7-O-(6"-O-apiosyl)glucoside(ambocin) were identified tentatively as novel compounds in soybean seeds. Besides, among malonylglucosides, glycitein 4'-O-(6"-O-malonyl)glucoside was estimated for the first time. Total isoflavone contents were distributed from 240.21 to 445.21(mg/100 g, dry matter) and 7-O-6"-O-malonylglucosides were composed of 77.8% on total isoflavone as well as genistein derivatives were confirmed as major class. It was considered importantly that the development of isoflavone-rich varieties was necessary to strengthen their effects such as anti-inflammation, anti-cancer and menopause mitigation. The qualitative and quantitative data presented precisely in this study could be help to select and breed isoflavone-rich varieties. Furthermore, their basic isoflavone profile is expected to be applied to estimate the change of isoflavone conjugates on bioavailability after soy food supplements.

A Novel Pyrazolo[3,4-d]pyrimidine Induces Heme Oxygenase-1 and Exerts Anti-Inflammatory and Neuroprotective Effects

  • Lee, Ji Ae;Kwon, Young-Won;Kim, Hye Ri;Shin, Nari;Son, Hyo Jin;Cheong, Chan Seong;Kim, Dong Jin;Hwang, Onyou
    • Molecules and Cells
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    • v.45 no.3
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    • pp.134-147
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    • 2022
  • The anti-oxidant enzyme heme oxygenase-1 (HO-1) is known to exert anti-inflammatory effects. From a library of pyrazolo[3,4-d]pyrimidines, we identified a novel compound KKC080096 that upregulated HO-1 at the mRNA and protein levels in microglial BV-2 cells. KKC080096 exhibited anti-inflammatory effects via suppressing nitric oxide, interleukin1β (IL-1β), and iNOS production in lipopolysaccharide (LPS)-challenged cells. It inhibited the phosphorylation of IKK and MAP kinases (p38, JNK, ERK), which trigger inflammatory signaling, and whose activities are inhibited by HO-1. Further, KKC080096 upregulated anti-inflammatory marker (Arg1, YM1, CD206, IL-10, transforming growth factor-β [TGF-β]) expression. In 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridinetreated mice, KKC080096 lowered microglial activation, protected the nigral dopaminergic neurons, and nigral damage-associated motor deficits. Next, we elucidated the mechanisms by which KKC080096 upregulated HO-1. KKC080096 induced the phosphorylation of AMPK and its known upstream kinases LKB1 and CaMKKbeta, and pharmacological inhibition of AMPK activity reduced the effects of KKC080096 on HO-1 expression and LPS-induced NO generation, suggesting that KKC080096-induced HO-1 upregulation involves LKB1/AMPK and CaMKKbeta/AMPK pathway activation. Further, KKC080096 caused an increase in cellular Nrf2 level, bound to Keap1 (Nrf2 inhibitor protein) with high affinity, and blocked Keap1-Nrf2 interaction. This Nrf2 activation resulted in concurrent induction of HO-1 and other Nrf2-targeted antioxidant enzymes in BV-2 and in dopaminergic CATH.a cells. These results indicate that KKC080096 is a potential therapeutic for oxidative stress-and inflammation-related neurodegenerative disorders such as Parkinson's disease.

The Mirror-based real-time dynamic projection mapping design and dynamic object detection system research (미러 방식의 실시간 동적 프로젝션 매핑 설계 및 동적 사물 검출 시스템 연구)

  • Soe-Young Ahn;Bum-Suk Seo;Sung Dae Hong
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.85-91
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    • 2024
  • In this paper, we studied projection mapping, which is being utilized as a digital canvas beyond space and time for theme parks, mega events, and exhibition performances. Since the existing projection technology used for fixed objects has the limitation that it is difficult to map moving objects in terms of utilization, it is urgent to develop a technology that can track and map moving objects and a real-time dynamic projection mapping system based on dynamically moving objects so that it can respond to various markets such as performances, exhibitions, and theme parks. In this paper, we propose a system that can track real-time objects in real time and eliminate the delay phenomenon by developing hardware and performing high-speed image processing. Specifically, we develop a real-time object image analysis and projection focusing control unit, an integrated operating system for a real-time object tracking system, and an image processing library for projection mapping. This research is expected to have a wide range of applications in the technology-intensive industry that utilizes real-time vision machine-based detection technology, as well as in the industry where cutting-edge science and technology are converged and produced.

A Systematic Review of Trends of Domestic Digital Curation Research (체계적 문헌고찰을 통한 국내 디지털 큐레이션 연구동향 분석)

  • Minseok Park;Jisue Lee
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.2
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    • pp.41-63
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    • 2024
  • This study investigated research trends in digital curation indexed in a prominent domestic academic information database. A systematic literature review was conducted on 39 academic papers published from 2009 to 2023. The review examined indexing status according to publication year, venue, academic discipline, research area distribution, research affiliation and occupation, and research types. In addition, network centrality analysis and cohesive group analysis were performed on 69 author keywords. The findings revealed several key points. First, digital curation research peaked in 2015 and 2016 with 5 publications each year, followed by a slight decrease, and then consistently produced 4 or more publications annually since 2019. Second, among the 39 studies, 25 were conducted in interdisciplinary fields, including library and information science, while 11 were in the humanities, such as miscellaneous humanities. The most prominent research areas were theoretical and infrastructural aspects, information management and services, and institutional domains. Third, digital curation research was predominantly led by university-affiliated professors and researchers, with collaborative research more prevalent than solo research. Lastly, analysis of author keywords revealed that "digital curation," "institution," and "content" were the most influential central keywords within the overall network.

Effective Routing Protocol Implementation Framework on Riverbed (OPNET) Modeler and its Example for AntHocNet (Riverbed (OPNET) Modeler의 효과적인 라우팅 프로토콜 추가 프레임워크 및 이를 이용한 AntHocNet 라우팅 구현)

  • Kim, Kwangsoo;Lee, Cheol-Woong;Shin, Seung-hun;Roh, Byeong-hee;Roh, Bongsoo;Han, Myoung-hun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.8
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    • pp.974-985
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    • 2016
  • Riverbed Modeler, which is a commercial packet-level discrete event simulator is used to model, design, and simulate complicated communication protocols and large-scale network. Riverbed Modeler got credit for its reliability in field of network simulation. In the MANET simulation environment using Riverbed Modeler, it is very complicated to add a new routing protocol into existing architecture of routing protocols because it is required lots of modifications of protocol recognition. In this paper, we propose Routing Adding Framework which can reduce errors or mistakes during modifying the existing routing support architecture. Routing Adding Framework is provided as a adapter API for protocol recognition. and it is only minimum modifications for protocol identifiers when a new routing protocol is added to the child process of manet_mgr process which manages routing protocols for IP layer. With Routing Adding Framework, we can reduce less than half modification. Then, we shows an example of implementation of a hybrid routing protocol AntHocNet using Routing Adding Framework, and we verify its design and application of the Routing Adding Framework by obtaining simulation result with similar result given by AntHocNet.

Low Power Implementation of Integrated Cryptographic Engine for Smart Cards (스마트카드 적용을 위한 저전력 통합 암호화 엔진의 설계)

  • Kim, Yong-Hee;Jeong, Yong-Jin
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.6
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    • pp.80-88
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    • 2008
  • In this paper, the block cipher algorithms, 3-DES(Triple Data Encryption Standard), AES(Advanced Encryption Standard), SEED, HASH(SHA-1), which are domestic and international standards, have been implemented as an integrated cryptographic engine for smart card applications. For small area and low power design which are essential requirements for portable devices, arithmetic resources are shared for iteration steps in each algorithm, and a two-level clock gating technique was used to reduce the dynamic power consumption. The integrated cryptographic engine was verified with ALTERA Excalbur EPXA10F1020C device, requiring 7,729 LEs(Logic Elements) and 512 Bytes ROM, and its maximum clock speed was 24.83 MHz. When designed by using Samsung 0.18 um STD130 standard cell library, the engine consisted of 44,452 gates and had up to 50 MHz operation clock speed. It was estimated to consume 2.96 mW, 3.03 mW, 2.63 mW, 7.06 mW power at 3-DES, AES, SEED, SHA-1 modes respectively when operating at 25 MHz clock. We found that it has better area-power optimized structure than other existing designs for smart cards and various embedded security systems.

Molecular Modification of Perilla Lipid Composition

  • Hwang, Young-Soo;Kim, Kyung-Hwan;Hwang, Seon-Kap;Lee, Sun-Hwa;Lee, Seong-Kon;Kim, Jung-Bong;Park, Sang-Bong;Tom Okita;Kim, Donghern
    • Journal of Plant Biotechnology
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    • v.1 no.1
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    • pp.20-30
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    • 1999
  • In order to modify lipid production of Perilla qualitatively as well as quantitatively by genetic engineering, genes involved in carbon metabolism were isolated and characterized. These include acyl-ACP thioesterases from Perilla frutescens and Iris sp., four different $\beta$-ketoacyl- ACP synthases from Perilla frutescens, and two $\Delta$15 a-cyl-ACP desaturases(Pffad7, pffad3). Δ15 acyl-ACP desa turase (Δ15-DES) is responsible for the conversion of linoleic acid (18:2) to $\alpha$-linolenic acid (ALA, 18:3). pffad 3 encodes Δ15 acyl-desaturase which is localized in ER membrane. On the other hand, Pffad7 encodes a 50 kD plastid protein (438 residues), which showed highest sequence similarity to Sesamum indicum fad7 protein. Northern blot analysis revealed that the Pffad7 is highly expressed in leaves but not in roots and seeds. And Pffad3 is expressed throughout the seed developmental stage except very early and fully mature stage. We constructed Pffad7 gene under 355 promoter and Pffad3 gene under seed specific vicillin promoter. Using Pffad7 construct, Perilla, an oil seed crop in Korea, was transformed by Agrobacterium leaf disc method. $\alpha$-linolenic acid contents increased in leaves but decreased in seeds of transgenic Perilla. Currently, we are transforming Perilla with Pffad3 construct to change Perilla seed oil composition. We isolated three ADP-glucose pyrophosphorylase (AGP) genes from Perilla immature seed specific cDNA library. Nucleotide sequence analysis showed that two of three AGP (Psagpl, Psagp2) genes encode AGP small subunit polypeptides and the remaining (Plagp) encodes an AGP large subunit. PSAGPs, AGP small subunit peptide, form active heterotetramers with potato AGP large subunit in E. coli expressing plant AGP genes.

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Characterization of peptide:N-glycanase from tomato (Solanum lycopersicum) fruits (토마토 (Solanum lycopersicum) 과육의 숙성정도에 따른 peptide:N-glycanase 발현 분석)

  • Wi, Soo Jin;Park, Ky Young
    • Journal of Plant Biotechnology
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    • v.41 no.3
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    • pp.159-167
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    • 2014
  • In eukaryotes, proteins that are secreted into ER are post-translationally modified by N-glycosylation, the patterns of which are significantly different between plant and animal cells. Biotechnology industry has already produced a number of therapeutic glycoproteins in plant cells. However, the aberrant glycosylation of therapeutic recombinant proteins in plant systems can cause immune problems in humans. Therefore, it is important to develop strategies for producing non-glycosylated forms to preserve biological activity and native conformation by a peptide: N-glycanase (PNGase). In this study, we try to isolate PNGase T gene from tomato, which can use as a platform plant for biotechnology industry. We isolated a cDNA (GenBank Accession number KM401550) from tomato leaves with 1,767 bp, which encoded a polypeptide of 588 amino acids with a predicted molecular mass of 65.8 kDa. We also investigated the expression patterns of PNGase T during fruit ripening of tomato. The transcripts of PNGase T, which were constitutively induced in tomato fruit from green stage, were significantly increased and reached a peak at orange stage. After which, those transcripts were continuously reduced. The expression pattern of PNGase T was coincided well with transcripts profiles of metacaspase gene, LeMCA, and senescence-related gene members of ACC synthase, LeACS2, LeACS4, and LeACS6, for ethylene biosynthesis during fruit ripening. These results suggest that PNGase T is involved in a de-glycosylation process associated with senescence and fruit ripening.

Artificial Intelligence to forecast new nurse turnover rates in hospital (인공지능을 이용한 신규간호사 이직률 예측)

  • Choi, Ju-Hee;Park, Hye-Kyung;Park, Ji-Eun;Lee, Chang-Min;Choi, Byung-Gwan
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.431-440
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    • 2018
  • In this study, authors predicted probability of resignation of newly employed nurses using TensorFlow, an open source software library for numerical computation and machine learning developed by Google, and suggested strategic human resources management plan. Data of 1,018 nurses who resigned between 2010 and 2017 in single university hospital were collected. After the order of data were randomly shuffled, 80% of total data were used for machine leaning and the remaining data were used for testing purpose. We utilized multiple neural network with one input layer, one output layer and 3 hidden layers. The machine-learning algorithm correctly predicted for 88.7% of resignation of nursing staff with in one year of employment and 79.8% of that within 3 years of employment. Most of resigned nurses were in their late 20s and 30s. Leading causes of resignation were marriage, childbirth, childcare and personal affairs. However, the most common cause of resignation of nursing staff with in one year of employment were maladaptation to the work and problems in interpersonal relationship.