• Title/Summary/Keyword: library function

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2,048 bits RSA public-key cryptography processor based on 32-bit Montgomery modular multiplier (32-비트 몽고메리 모듈러 곱셈기 기반의 2,048 비트 RSA 공개키 암호 프로세서)

  • Cho, Wook-Lae;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.8
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    • pp.1471-1479
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    • 2017
  • This paper describes a design of RSA public-key cryptography processor supporting key length of 2,048 bits. A modular multiplier that is core arithmetic function in RSA cryptography was designed using word-based Montgomery multiplication algorithm, and a modular exponentiation was implemented by using Left-to-Right (LR) binary exponentiation algorithm. A computation of a modular multiplication takes 8,386 clock cycles, and RSA encryption and decryption requires 185,724 and 25,561,076 clock cycles, respectively. The RSA processor was verified by FPGA implementation using Virtex5 device. The RSA cryptographic processor synthesized with 100 MHz clock frequency using a 0.18 um CMOS cell library occupies 12,540 gate equivalents (GEs) and 12 kbits memory. It was estimated that the RSA processor can operate up to 165 MHz, and the estimated time for RSA encryption and decryption operations are 1.12 ms and 154.91 ms, respectively.

A Study of Constructing Knowledge Management for Taiwan's Small and Medium-sized Enterprises by Successful Factors

  • Tien, Shiaw-Wen;Wang, Ming-Lang;Chung, Yi-Chan;Tsai, Chih-Hung;Lee, Si-Yi
    • International Journal of Quality Innovation
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    • v.7 no.1
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    • pp.60-89
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    • 2006
  • In the Knowledge-based Economic Era, all of the enterprises are facing global competitive pressure. The activities of knowledge accessing, codifying, and application will obviously become the main inner function on enterprise operation. Knowledge will be the primary competitive advantage; therefore, he who wants to hold the competitive advantage should do the knowledge management (KM) very well. In this study, we construct the research dimensions and variances by the successful factors of KM, which had been practiced very well by big enterprises inside and outside our country, and which was recommended by the related scholars. In order to approach the differences between big enterprises and small and medium-sized enterprises (SMEs) towards implementing KM, this study takes the way of questionnaire investigation to do empirical analysis and to construct the model of KM by path analysis. The study found out when implementing KM, SMEs should highlight 'leadership,' 'library-architecture,' and 'corporate culture' these three aspects, while 'information technology' and 'performance evaluation' these two aspects show no remarkable influence. It shows that he who wants to construct KM might not too overweight on information technology to build the KM system. Therefore, we suggest when implementing KM, enterprises should reinforce the corporate culture by sharing, organized KM process, learning environment for all employees, and highly authorization by top managers in order to reach the expectant success of KM. The result of this study offers practical thinking directions to reach the expectant success for the policy makers in SMEs, who are accessing to or evaluating to implement KM.

Expressed Sequence Tag Analysis of the Erythrocytic Stage of Plasmodium berghei

  • Seok, Ji-Woong;Lee, Yong-Seok;Moon, Eun-Kyung;Lee, Jung-Yub;Jha, Bijay Kumar;Kong, Hyun-Hee;Chung, Dong-Il;Hong, Yeon-Chul
    • Parasites, Hosts and Diseases
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    • v.49 no.3
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    • pp.221-228
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    • 2011
  • Rodent malaria parasites, such as Plasmodium berghei, are practical and useful model organisms for human malaria research because of their analogies to the human malaria in terms of structure, physiology, and life cycle. Exploiting the available genetic sequence information, we constructed a cDNA library from the erythrocytic stages of P. berghei and analyzed the expressed sequence tag (EST). A total of 10,040 ESTs were generated and assembled into 2,462 clusters. These EST clusters were compared against public protein databases and 48 putative new transcripts, most of which were hypothetical proteins with unknown function, were identified. Genes encoding ribosomal or membrane proteins and purine nucleotide phosphorylases were highly abundant clusters in P. berghei. Protein domain analyses and the Gene Ontology functional categorization revealed translation/protein folding, metabolism, protein degradation, and multiple family of variant antigens to be mainly prevalent. The presently-collected ESTs and its bioinformatic analysis will be useful resources to identify for drug target and vaccine candidates and validate gene predictions of P. berghei.

Method and Application of Searching Hot Spot For Reengineering Software Using AOP (AOP를 이용한 재공학에서의 핫 스팟 탐색과 응용)

  • Lee, Ei-Sung;Choi, Eun-Man
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.83-92
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    • 2009
  • Complicated business logic makes program complexity more complicated. It's inevitable that the program must undergo reengineering processes all the way of in its lifetime. Hot spot analysis that has diverse purposes is getting an important question more and more. As a rule, reengineering process is done by UML model-based approach to analyze the legacy system. The smallest fragment of targets to be analysed is unit, that is function or class. Today's software development is to deal with huge change of software product and huge class including heavy quantity of LOC(Lines Of Code). However, analysis of unit is not precise approach process for reliable reengineering consequence. In this paper, we propose very precise hot spot analysis approach using Aspect-Oriented Programming languages, such as AspectJ. Typically the consistency between UML and source is needed code to redefine the modified library or framework boundaries. But reengineering approach using AOP doesn't need to analyze UML and source code. This approach makes dynamic event log data that contains detailed program interaction information. This dynamic event log data makes it possible to analyze hot spot.

Analysis of Resonant Characteristics in High Voltage Windings of Main Transformer for Railway Vehicle using EMTP (EMTP를 이용한 철도차량용 주변압기 고압권선의 공진특성 분석)

  • Jeong, Ki-Seok;Jang, Dong-Uk;Chung, Jong-Duk
    • Journal of the Korean Society for Railway
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    • v.19 no.4
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    • pp.436-444
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    • 2016
  • The primary windings of the main transformer for rolling stock have several natural frequencies that can occur internal resonance with transient voltages induced on a high voltage feeding line. Factory testing is limited in its ability to determine whether or not transient voltage with various shape and duration can be excitable. This study presents the design of a high voltage windings model and simulation and analysis of the internal resonant characteristics in terms of the initial voltage distribution and voltage-frequency relationship using the electromagnetic transients program (EMTP). Turn-based lumped-parameters are calculated using the geometry data of the transformer. And, sub-models, being grouped into the total number of layers, are composed using a ladder-network model and implemented by the library function of EMTP. Case studies are used to show the layer-based voltage-frequency relationship characteristics according to the frequency sweep and the voltage escalation and distribution aspects in time-domain simulation.

A Study on the Architectural Planning of Formal and Informal Learning Spaces at the College of Medicine (의과대학의 학습 및 학습공유공간에 관한 건축계획 연구)

  • Choi, Kwangseok
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.27 no.3
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    • pp.7-16
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    • 2021
  • Purpose: This study identified the planning trends for formal and informal learning spaces in the college of medicine through literature reviews. And then, by the analysis of the actual condition of existing domestic facilities, It was organized the architectural planning baseline data and future directions for the formal and informal learning spaces in the college of medicine. Methods: This study was conducted using literature reviews on the existing medical education method and learning space planning. Subsequently on-site surveys and questionnaires were conducted at existing facilities. Results: In the past, learning space of the college of medicine was considered only a formal learning space such lecture rooms, labs. But lately it has been turned into a total learning concept that embraces shared learning spaces such as libraries, student spaces, amenities and common spaces such as lobbies and hallways. ① Formal learning spaces are composed of teaching and practice areas. Since It is the basic functions that comprise the college of medicine, this paper conducted a functional analysis based on the current operating system of the College of Medicine and provided baseline data on architectural planning such as function, layout, zoning, and detailed planning. ② The informal learning sharing space was divided into a library area and a student well-being and convenience area to analyze the real conditions of domestic medical college. In addition, by comparing the trends and differences in foreign medical colleges identified by literature analysis, this paper summarizes the need to revitalize informal learning spaces and their integration into formal learning spaces, architectural planning considerations, etc. Implications: the evolution of the learning method and the flexibility of the learning space bring about changes in the learning space.

Review on Herbal Medications of Asthma in Domestic Clinical Research on Traditional Korean Medicine (천식의 한약치료에 관한 문헌고찰 - 국내 한의학 임상연구를 중심으로)

  • Park, Cheong Su;Hong, Minna;Ban, Jae Jin;Jeong, Han Sol;Choi, Jun Yong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.32 no.6
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    • pp.361-369
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    • 2018
  • The purpose of this study was to review the herbal medications of asthma through clinical studies in Korea and to be utilized in the treatment of asthma and in other clinical studies. All clinical researches about asthma published up to 13th February 2018 were found in two domestic electric databases, Oriental Medicine Advanced Searching Integrated System(OASIS) and National Discovery for Science Library(NDSL). Twenty-seven articles were selected and of these, there were 14 articles of before and after studies(BAS), 8 of case series(CS), 4 of case reports(CR) and 1 of the randomized controlled trial(RCT). The most frequently used prescription was "Cheongsangboha-tang(淸上補下湯)". There were various TCM patterns, and Tae-Eum-In(太陰人) was the most common Sasang constitution(四象體質). Frequently used evaluations to assess treatment effects were lung function tests such as Forced expiratory volume at one second (FEV1) and Quality of Life Questionnaire for Adult Korean Asthmatics(QLQAKA) questionnaire responses. We have found that herbal medicine treatment can be an effective treatment to improve the symptoms and the quality of life of asthmatic patients. But we consider that large-scale systematically designed clinical researches are needed additionally.

A Security SoC supporting ECC based Public-Key Security Protocols (ECC 기반의 공개키 보안 프로토콜을 지원하는 보안 SoC)

  • Kim, Dong-Seong;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1470-1476
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    • 2020
  • This paper describes a design of a lightweight security system-on-chip (SoC) suitable for the implementation of security protocols for IoT and mobile devices. The security SoC using Cortex-M0 as a CPU integrates hardware crypto engines including an elliptic curve cryptography (ECC) core, a SHA3 hash core, an ARIA-AES block cipher core and a true random number generator (TRNG) core. The ECC core was designed to support twenty elliptic curves over both prime field and binary field defined in the SEC2, and was based on a word-based Montgomery multiplier in which the partial product generations/additions and modular reductions are processed in a sub-pipelining manner. The H/W-S/W co-operation for elliptic curve digital signature algorithm (EC-DSA) protocol was demonstrated by implementing the security SoC on a Cyclone-5 FPGA device. The security SoC, synthesized with a 65-nm CMOS cell library, occupies 193,312 gate equivalents (GEs) and 84 kbytes of RAM.

Research Trends on the Acupotomy Treatment for Knee Osteoarthritis : A Systematic Review (무릎 골관절염의 도침 치료에 대한 연구 동향 : 체계적 문헌 고찰)

  • Hong, Su Min;Yoon, Kwang Sik
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.34 no.6
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    • pp.285-298
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    • 2020
  • This study aimed to review clinical studies about Acupotomy used for Knee Osteoarthritis. We searched the following 12 online databases (KISS, NDSL, RISS, OASIS, Earticle, Kmbase, MEDLINE/Pubmed, Cochrane library, Ebscohost, Ovid, CNKI, Wanfang), to find randomized controlled trials that used Acupotomy for knee osteoarthritis. The methodological quality of randomized controlled trials were assessed by using the Cochrane risk of bias tool and meta-analyses were performed. 16 randomized controlled trials were included. Total number of patients was 1169. The average duration of treatment was 3.14 weeks and most of the patients were treated once a week. The major treatment sites were ligaments, muscles, and tender nodules and the most used evaluation tool was the efficiency. We selected 4 studies and meta-analyzed them. All of the studies performed Acupotomy+sodium hyaluronate injection as a treatment group, and sodium hyaluronate injection as a control group. Meta-analysis showed positive results for Acupotomy+sodium hyaluronate injection in terms of efficiency rate compared to sodium hyaluronate injection. Also Meta-analysis showed positive results for Acupotomy+sodium hyaluronate injection in terms of WOMAC (pain, stiffness, function) compared to sodium hyaluronate injection. In this study, we reviewed studies about Acupotomy used for knee osteoarthritis. The studies showed that Acupotomy can significantly effective on knee osteoarthritis. But according to Cochrane Risk of Bias (RoB) evaluation method, most of the study's risk of bias was unclear. Threrefore, more high-quality studies will be needed.

Implementation of the Stone Classification with AI Algorithm Based on VGGNet Neural Networks (VGGNet을 활용한 석재분류 인공지능 알고리즘 구현)

  • Choi, Kyung Nam
    • Smart Media Journal
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    • v.10 no.1
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    • pp.32-38
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    • 2021
  • Image classification through deep learning on the image from photographs has been a very active research field for the past several years. In this paper, we propose a method of automatically discriminating stone images from domestic source through deep learning, which is to use Python's hash library to scan 300×300 pixel photo images of granites such as Hwangdeungseok, Goheungseok, and Pocheonseok, performing data preprocessing to create learning images by examining duplicate images for each stone, removing duplicate images with the same hash value as a result of the inspection, and deep learning by stone. In addition, to utilize VGGNet, the size of the images for each stone is resized to 224×224 pixels, learned in VGG16 where the ratio of training and verification data for learning is 80% versus 20%. After training of deep learning, the loss function graph and the accuracy graph were generated, and the prediction results of the deep learning model were output for the three kinds of stone images.