• Title/Summary/Keyword: IT.SW Utilization

Search Result 41, Processing Time 0.028 seconds

Auto-configurable Security Mechanism for NFV

  • Kim, HyunJin;Park, PyungKoo;Ryou, Jaecheol
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.2
    • /
    • pp.786-799
    • /
    • 2018
  • Recently, NFV has attracted attention as a next-generation network virtualization technology for hardware -independent and efficient utilization of resources. NFV is a technology that not only virtualize computing, server, storage, network resources based on cloud computing but also connect Multi-Tenant of VNFs, a software network function. Therefore, it is possible to reduce the cost for constructing a physical network and to construct a logical network quickly by using NFV. However, in NFV, when a new VNF is added to a running Tenant, authentication between VNFs is not performed. Because of this problem, it is impossible to identify the presence of Fake-VNF in the tenant. Such a problem can cause an access from malicious attacker to one of VNFs in tenant as well as other VNFs in the tenant, disabling the NFV environment. In this paper, we propose Auto-configurable Security Mechanism in NFV including authentication between tenant-internal VNFs, and enforcement mechanism of security policy for traffic control between VNFs. This proposal not only authenticate identification of VNF when the VNF is registered, but also apply the security policy automatically to prevent malicious behavior in the tenant. Therefore, we can establish an independent communication channel for VNFs and guarantee a secure NFV environment.

3D Special Makeup Mask Program Development and Utilization (Ver. 2) (3D 특수 분장 마스크 시뮬레이션 프로그램 개발과 활용 (제2보))

  • Barng, Kee-Jung;Kim, Jin-Seo
    • Journal of Fashion Business
    • /
    • v.19 no.5
    • /
    • pp.63-76
    • /
    • 2015
  • The purpose of this study was to design a training program for utilization of 3D special makeup mask program. This study was conducted with a 3D computer graphics software program, for special makeup mask using a variety of creative educational models and case study with comparative analysis. The makeup program applied to the majors and liberal arts classes for program design. Inthis study, the selected major courses included ' stage make up ', make up application', and illustrations and color '. Students were required to take a class targeted to questionnaire completion and analysis. The research method included literature search, and Internet navigation, of experimental research. The research targeted select college students attending a 4-year university located in Dae-jeon, Korea. ETRI's "3D mask special makeup simulation program" was used in support. A survey of the study conducted from September 1, 2013, to August 30, 2014, showed a total of 94 additional statistical analyses. First, grade 3 44.6% was attained by 91.7% of the first year student majoring in liberal arts classes, Second, students' in the 3D special dress up mask program Interestingly, attained high recognition in its mastering, usability, and creativity. Furthermore, the major student satisfaction was higher for the '3D special makeup mask program. Third, students '3D special dress up was one of the biggest advantages of the program', the mask ' that models 3D ' faces. In addition, the student's delicate dress called for critical technology skills. It is thought to be suitable for practical training and improving the efficiency and performance if applied to universities and beauty schools, such as the regular high school curriculum through research.

Assessment of Displacement and Axial Force of Earth Retaining Wall at Each Excavation Step Using Direct Algorithm Back Analysis (직접알고리즘 역해석 기법을 이용한 굴착단계별 흙막이 가시설 변위 및 축력의 적정성 평가)

  • So-Ra Kang;Je-Seok Jeon;Yeong-Jin Lee;Jun-Seok Lee;Kang-Il Lee
    • Journal of the Korean Geosynthetics Society
    • /
    • v.23 no.1
    • /
    • pp.27-37
    • /
    • 2024
  • In this study, direct algorithm-based back analysis was utilized to perform back analysis on two actual earth retaining wall fields, which was then compared with genetic algorithm-based method to evaluate the suitability of the back analysis. Additionally, in order to propose effective utilization methods of the program, the measurement data, as the input for the back analysis, was varied for each excavation step, and the applicability of the back analysis results(displacement, axial force) was examined. The research findings indicate that both direct algorithm and genetic algorithm show high applicability; however, the optimization for this program is better predicted by the direct algorithm. Moreover, in order to effectively use the back analysis program employing the direct algorithm, it was evaluated that relatively accurate prediction of the earth retaining wall behavior could be achieved by inputting measurement data from the 7th excavation step for fields with final excavation steps ranging from 8 to 11.

Risk Factors Identification and Priority Analysis of Bigdata Project (빅데이터 프로젝트의 위험요인 식별과 우선순위 분석)

  • Kim, Seung-Hee
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.19 no.2
    • /
    • pp.25-40
    • /
    • 2019
  • Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

Inhibitory Activity of Garlic Fermented by Pediococcus pentosaceus KACC 91419 against Antibiotic-resistant Pathogens

  • Ham, Jun-Sang;Lee, Seung-Gyu;Kim, Min-Kyung;Oh, Mi-Hwa;Jeong, Seok-Geun;Kim, Dong-Hun;Lee, Se-Hyung;Chae, Jong-Pyo;Lee, Ji-Yoon;Kang, Dae-Kyung
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.23 no.9
    • /
    • pp.1236-1243
    • /
    • 2010
  • The aim of this study was to screen lactic acid bacteria for the fermentation of garlic and to assess the increase in inhibitory activity of garlic fermented against antibiotic-resistant pathogens for use as an animal feed supplement. We screened 45 strains of lactobacillus for the fermentation of garlic. Of these strains, 23 showed similar growth rates with or without allicin. Cultures of the 23 strains were mixed with an equivalent amount of garlic juice and incubated overnight at $37^{\circ}C$. The three strains with the lowest pH values were Lactobacillus paracasei KCTC 3169, L5 strain, and L. reuteri SW. Garlic juice fermented by the L5 strain more strongly inhibited antibiotic-resistant pathogenic bacteria than L. paracasei KCTC 3169, L. reuteri SW, or garlic juice itself. By examining carbohydrate utilization, morphologic properties and 16S rRNA gene sequences, we identified the L5 strain as Pediococcus pentosaceus and deposited it in the name of P. pentosaceus KACC 91419 into the Korea Agricultural Culture Collection. To identify the antimicrobial compound from the garlic filtrate fermented by P. pentosaceus KACC 91419, we fractionated P. pentosaceus KACC 91419 culture on a C18 column and checked the antimicrobial activity of fractions A6 to A10. Only fraction A9 showed inhibitory activity on Staphylococcus aureus. Comparing the mass spectra of the fractions with and without antimicrobial activity, we observed a single dominant product ion (m/z 157.99) from the fraction showing antimicrobial activity. Its molecular mass (157.99) was 2 atomic mass units less than that of allicin (162.02). This suggests that allicin might be converted to its derivative, which has antimicrobial activity, during fermentation by P. pentosaceus KACC 91419.

A Study for Implementation of System for protecting Privacy data from IoT Things (IoT 장치의 개인정보 데이터 보호 시스템 구현에 관한 연구)

  • Kim, Seon Uk;Hong, Seong Eun;Bang, Jun Il;Kim, Hwa Jong
    • Smart Media Journal
    • /
    • v.10 no.2
    • /
    • pp.84-91
    • /
    • 2021
  • In the EU GDPR, when collecting personal information, the right of the information subject(user) to consent or refuse is given the highest priority. Therefore, the information subject must be able to withdraw consent and be forgotten and claim the right at any time. Especially, restricted IoT devices(Constrained Node) implement the function of consent of the data subject regarding the collection and processing of privacy data, and it is very difficult to post the utilization content of the collected information. In this paper, we designed and implemented a management system that allows data subjects to monitor data collected and processed from IoT devices, recognize information leakage problems, connect, and control devices. Taking into account the common information of the standard OCF(Open Connectivity Foundation) of IoT devices and AllJoyn, a device connection framework, 10 meta-data for information protection were defined, and this was named DPD (Data Protection Descriptor). we developed DPM (Data Protection Manager), a software that allows information subjects to manage information based on DPD.

In-memory Compression Scheme Based on Incremental Frequent Patterns for Graph Streams (그래프 스트림 처리를 위한 점진적 빈발 패턴 기반 인-메모리 압축 기법)

  • Lee, Hyeon-Byeong;Shin, Bo-Kyoung;Bok, Kyoung-Soo;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.1
    • /
    • pp.35-46
    • /
    • 2022
  • Recently, with the development of network technologies, as IoT and social network service applications have been actively used, a lot of graph stream data is being generated. In this paper, we propose a graph compression scheme that considers the stream graph environment by applying graph mining to the existing compression technique, which has been focused on compression rate and runtime. In this paper, we proposed Incremental frequent pattern based compression technique for graph streams. Since the proposed scheme keeps only the latest reference patterns, it increases the storage utilization and improves the query processing time. In order to show the superiority of the proposed scheme, various performance evaluations are performed in terms of compression rate and processing time compared to the existing method. The proposed scheme is faster than existing similar scheme when the number of duplicated data is large.

The Improvement Plan for Personal Information Protection for Artificial Intelligence(AI) Service in South Korea (우리나라의 인공지능(AI)서비스를 위한 개인정보보호 개선방안)

  • Shin, Young-Jin
    • Journal of Convergence for Information Technology
    • /
    • v.11 no.3
    • /
    • pp.20-33
    • /
    • 2021
  • This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.

Exploring the Trend of Korean Creative Dance by Analyzing Research Topics : Application of Text Mining (연구주제 분석을 통한 한국창작무용 경향 탐색 : 텍스트 마이닝의 적용)

  • Yoo, Ji-Young;Kim, Woo-Kyung
    • Journal of Korea Entertainment Industry Association
    • /
    • v.14 no.6
    • /
    • pp.53-60
    • /
    • 2020
  • The study is based on the assumption that the trend of phenomena and trends in research are contextually consistent. Therefore the purpose of this study is to explore the trend of dance through the subject analysis of the Korean creative dance study by utilizing text mining. Thus, 1,291 words were analyzed in the 616 journal title, which were established on the paper search website. The collection, refining and analysis of the data were all R 3.6.0 SW. According to the study, keywords representing the times were frequently used before the 2000s, but Korean creative dance research types were also found in terms of education and physical training. Second, the frequency of keywords related to the dance troupe's performance was high after the 2000s, but it was confirmed that Choi Seung-hee was still in an important position in the study of Korean creative dance. Third, an analysis of the overall research subjects of the Korean creative dance study showed that the research on 'Art of Choi Seung-hee in the modern era' was the highest proportion. Fourth, the Hot Topics, which are rising as of 2000, appeared as 'the performance activities of the National Dance Company' and 'the choreography expression and utilization of traditional dance'. However, since the recent trend of the National Dance Company's performance is advocating 'modernization based on tradition', it has been confirmed that the trend of Korean creative dance since the 2000s has been focused on the use of traditional dance motifs. Fifth, the Cold Topic, which has been falling as of 2000, has been shown to be a study of 'dancing expressions by age'. It was judged that interest in research also decreased due to the tendency to mix various dance styles after the establishment of the genre of Korean creative dance.

A Comparison of Usability between the Height Adjustable Keyboard and the Adaptive Touch Keyboard on Smartphones

  • Choi, Jinhae
    • Journal of the Ergonomics Society of Korea
    • /
    • v.36 no.2
    • /
    • pp.145-156
    • /
    • 2017
  • Objective: This study aims to compare the usability of the adaptive touch design method with that of the height adjustable design method that are applied to the Korean QWERTY keyboard and Naratgul keyboard on smartphones, examine the results, and present practical implications. Background: Smartphone manufacturers have failed to satisfy every user with their uniform touch keyboard designs that do not consider the high use rates of keypad use. In reality, touch keyboard designing customized for every individual is impossible, but there need to be researches on was to improve usability by having touch areas changed automatically depending on user behaviors or having users adjust the keyboard height depending on their hand size. Method: As for the design methods, an object group was given smartphones with the adaptive touch design method and the other group those with the height adjustable design method. As they entered the same characters in the smartphones, typing error rates and text input speed were measured and the average values were compared. 35 individuals who would frequently use smartphones in daily life participated in the experiment. The group variable was the type of touch keyboards, and the test variables were typing error rates and text input speed, for which a T-test was implemented. Results: As for the QWERTY keyboard, the significant improvement effect was verified as the typing error rate of the adaptive touch design method was 4.21% but that of the height adjustable design method was 3.28% although there was no significant difference in terms of text input speed. As for the Naratgul keyboard, in contrast, the typing error rate of the adaptive touch design method was 2.5% while that of the height adjustable design method was 1.48%, which indicates a measure of improvement, but the effect was not significant. On the other hand, the text input speed per minute was improved as much as 22.2%, which is significant. Conclusion: First, the Korean touch keyboard usability of the adaptive touch design method and that of the height adjustable design method, when applied to Model A of Company L, showed significant difference from each other. Second, the height adjustable design method was applied to the QWERTY keyboard, the typing error rate was improved significantly. This indicates that as the keyboard height was raised, the number of buttons within the range of fingering decreased, decreasing the touch bias was reduced. Third, the height adjustable design method was applied to the Naratgul keyboard, the text input speed was improved. Application: When the QWERTY keyboard was applied to a smartphone as small as 5.5inch or less, it is highly probably that the height adjustable design method decreases the typing error rate. It may be considered to develop additional UX functions to make the keyboard font larger or give users the option to adjust button intervals in utilization of the SW advantages of the height adjustable design method.