• Title/Summary/Keyword: 4th Industrial Revolution Technology

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Application of Pine Needle Extract as Cosmetic Material (솔잎 열수(熱水) 추출물의 화장품 소재로의 응용)

  • Park, Jang-Soon
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.395-400
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    • 2019
  • Contemporary society, the era of the 4th industrial revolution, has been enjoying a boom in the cosmetics industry due to the launch of cosmetics through new technology development due to the interest in the beauty industry. However, the cosmetics industry is booming, but dry eye syndrome, skin trouble, Hormonal disturbances, and many other side effects. In order to prove the universal use value of pine needles as a natural cosmetic material that can complement the side effects of existing chemical ingredients cosmetics harmful to human body, and to propose a roll model of desirable natural cosmetics, DPPH radical scavenging activity, ABTS assay, and flavonoid content were studied. The results showed that both the DPPH radical and ABTS radical scavenging activity increased in both the $70^{\circ}C$ and $100^{\circ}C$ pine water hot water extracts. The extracts from the pine tree extracts at $70^{\circ}C$ and $100^{\circ}C$ showed $32.0{\pm}2.5mg\;QE/ml$ and 116.8 A total flavonoid of ${\pm}5.5mg\;QE/ml$ was detected. Therefore, it is considered that the pine needle hydrothermal extract having a large amount of antioxidant which is advantageous to human body is highly applicable as a natural cosmetic material harmless to the human body.

Usability Evaluation of Artificial Intelligence Search Services Using the Naver App (인공지능 검색 서비스 활용에 따른 서비스 사용성 평가: 네이버 앱을 중심으로)

  • Hwang, Shin Hee;Ju, Da Young
    • Science of Emotion and Sensibility
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    • v.22 no.2
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    • pp.49-58
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    • 2019
  • In the era of the 4th Industrial Revolution, artificial intelligence (AI) has become one of the core technologies in terms of the business strategy among information technology companies. Both international and domestic major portal companies are launching AI search services. These AI search services utilize voice, images, and other unstructured data to provide different experiences from existing text-based search services. An unfamiliar experience is a factor that can hinder the usability of the service. Therefore, the usability testing of the AI search services is necessary. This study examines the usability of the AI search service on the Naver App 8.9.3 beta version by comparing it with the search services of the current Naver App and targets 30 people in their 20s and 30s, who have experience using Naver apps. The usability of Smart Lens, Smart Voice, Smart Around, and AiRS, which are the Naver App beta versions of their artificial intelligence search service, is evaluated and statistically significant usability changes are revealed. Smart Lens, Smart Voice, and Smart Around exhibited positive changes, whereas AiRS exhibited negative changes in terms of usability. This study evaluates the change in usability according to the application of the artificial intelligence search services and investigates the correlation between the evaluation factors. The obtained data are expected to be useful for the usability evaluation of services that use AI.

Data Quality Measurement on a De-identified Data Set Based on Statistical Modeling (통계모형의 정확도에 기반한 비식별화 데이터의 품질 측정)

  • Chun, Heuiju;Yi, Hyun Jee;Yeon, Kyupil;Kim, Dongrae
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.553-561
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    • 2019
  • In this study, the method of quality measurement for the statistical usefulness of de-identified data was examined in terms of prediction accuracy by statistical modeling. In the era of the 4th industrial revolution, effective use of big data is essential to innovation through information and communication technology, but personal information issues are constrained to actively utilize big data. In order to solve this problem, de-identification guidelines have been established and the possibility of actual re-identification of personal information has become very low due to the utilization of various de-identification methods. On the other hand, strong de-identification can have side effects that degrade the usefulness of the data. We have studied the quality of statistical usefulness of the de-identified data by KLT model which is a representative de-identification method, A case study was conducted to see how statistical accuracy of prediction is degraded by de-identification. We also proposed a new measure of data usefulness of the de-identified data by quantifying how much data is added to the de-identified data to restore the accuracy of the predictive model.

Feasibility Test with IoT-based DCPT system for Digital Compaction Information of Smart Construction (스마트건설 디지털 다짐정보 구축을 위한 IoT 기반 DCPT 시스템 현장실증)

  • Kim, Donghan;Bae, Kyoung Ho;Cho, Jinwoo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.5
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    • pp.421-428
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    • 2022
  • The earthwork is a core process of all constructions, and compaction measurement of earthwork play an important role in improving productivity. The analog tests such as Plate Bearing Test and Sand-cone occupy current compaction measurement techniques. Due to advanced 4th Industrial Revolution, research on analog tests combined smart construction technology are actively conducted. DCPT (Dynamic Cone penetration Test), simpler and faster than conventional tests, has recently on rise. However, it is also an analog that measures data manually and has several disadvantages such as history management and data verification. The IoT-based DCPT system developed in this study combines digital wire sensors, mobile phones, and Bluetooth with conventional DCPT. Compare to conventional test methods, IoT-based DCPT has advantages such as performance time, single-person measurement, low cost, mobile-based management, and real-time data verification. In addition, a test bed was built to verify IoT-based DCPT. The test bed was built under similar conditions to the actual earthworks site through roller equipment. DCPT data obtained from 322 stations. As a result, IoT-based DCPT showed good performance, and the test bed was also showed stable results as the compaction was carried out.

A Study on the Development Direction of Specialized Library in Road Traffic Field (도로교통분야 전문도서관 발전방향 모색에 관한 연구)

  • Kwak, Seung-Jin;Noh, Younghee;Chang, Inho;Ko, Jae Min
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.73-94
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    • 2022
  • This study is a basic research for establishing a mid- to long-term development plan for the library of the Korea Expressway Corporation that can establish the vision and core values of the library and continuously grow by taking advantage of the specialization of the road transportation field in preparation for the 4th industrial revolution and post-corona era. The current state, satisfaction, and demand of the library were conducted for users of the Korea Expressway Corporation, and based on this, a mid- to long-term development plan was proposed. As a result of the research, first, the library of the Korea Expressway Corporation should provide information services to respond to the immediate information needs of its members as a library that supports academic and research activities as well as the comprehensive collection and preservation of related materials as a national road transportation representative library. Second, it is necessary to establish a systematic collection development policy, and it is necessary to collect collections by detailed themes related to road traffic. Third, overall service development is necessary, and Korea Expressway Corporation library homepage and mobile service should be developed. Lastly, space improvement must be made through space reorganization, and it is necessary to expand the usability through the introduction of the latest technology.

A Study on Tire Surface Defect Detection Method Using Depth Image (깊이 이미지를 이용한 타이어 표면 결함 검출 방법에 관한 연구)

  • Kim, Hyun Suk;Ko, Dong Beom;Lee, Won Gok;Bae, You Suk
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.211-220
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    • 2022
  • Recently, research on smart factories triggered by the 4th industrial revolution is being actively conducted. Accordingly, the manufacturing industry is conducting various studies to improve productivity and quality based on deep learning technology with robust performance. This paper is a study on the method of detecting tire surface defects in the visual inspection stage of the tire manufacturing process, and introduces a tire surface defect detection method using a depth image acquired through a 3D camera. The tire surface depth image dealt with in this study has the problem of low contrast caused by the shallow depth of the tire surface and the difference in the reference depth value due to the data acquisition environment. And due to the nature of the manufacturing industry, algorithms with performance that can be processed in real time along with detection performance is required. Therefore, in this paper, we studied a method to normalize the depth image through relatively simple methods so that the tire surface defect detection algorithm does not consist of a complex algorithm pipeline. and conducted a comparative experiment between the general normalization method and the normalization method suggested in this paper using YOLO V3, which could satisfy both detection performance and speed. As a result of the experiment, it is confirmed that the normalization method proposed in this paper improved performance by about 7% based on mAP 0.5, and the method proposed in this paper is effective.

A Study on Improvement of Satellite Surveying Infrastructure through Analysis of Operation Status of GNSS CORS (GNSS 상시관측소 운영 현황 분석을 통한 위성측량 인프라 개선방안 연구)

  • Park, Joon Kyu;Um, Dae Yong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.11
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    • pp.933-940
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    • 2017
  • The modern society is changing paradigm by the 4th industrial revolution. In these changes, the importance of geospatial information leading to the fusion and connection of persons and objects is increasing day by day. GNSS CORS(Continuously Operating Reference Station) plays a pivotal role in the geospatial information by providing basic data for surveying control points, mapping, navigation, geophysical research, and so on. On the other hand, the satellite surveying technologies are developing rapidly and it is necessary to investigate the status of the satellite surveying environment and search for future directions. In this study, the environment related to satellite survey by operation status of domestic and overseas CORS(Continuously Operating Reference Station) was tried to analyze. Through the research, The operation status of NGII and IGS CORS were presented. It was found that the availability ratio of multiple satellites to the CORS of NGII are lower than that of IGS CORS. Considering the improvement of positioning performance by using multiple GNSS, it is necessary to use multi-satellites in the future.

System Architecture of the Integrated Data Safety Zone for the Secured Application of Transportation-specific Mobility Data (교통 분야 모빌리티 데이터의 안전한 활용을 위한 통합데이터안심구역 시스템 아키텍처 개발)

  • Hyoungkun Lee;Keedong Yoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.3
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    • pp.88-103
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    • 2023
  • With the recent advancement of 4th Industrial Revolution technology, transportation systems are generating large amounts of mobility data related to the individual movement trajectories of vehicles and people. There are many constraints on utilizing mobility data containing personal information. Thus, in South Korea, the processing and generation of pseudonymized information and the analysis and utilization of this information have been managed in a dual manner by applying separate agencies and technologies through the revision of the Data 3 Act and the enactment of the Data Basic Act. However, this dual approach fails to securely support the entire data lifecycle and suffers from inefficiencies in terms of processing time and cost. Therefore, to compensate for the problems of the existing Expert Data Combination System and Data Safety Zone, this study proposes an Integrated Data Safety Zone Framework that integrates and unifies the process of generating, processing, analyzing, and utilizing mobility data. The integrated process for data processing was redesigned, and common requirements and core technologies were derived. The result is an architecture for a next-generation Integrated Data Safety Zone system that can manage and utilize the entire life cycle of mobility data at one stop.

Analysis of the relationship with the Human Resource in the service economy era according to the type of organization -Focusing on organizational culture and structure - (조직유형에 따른 서비스경제시대 인재상 관계분석 -조직문화와 조직구조를 중심으로-)

  • Baek Kyeong Hui;Kim Hyun Soo
    • Journal of Service Research and Studies
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    • v.11 no.3
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    • pp.98-116
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    • 2021
  • With the advent of the era of the 4th industrial revolution, various factors such as economy, management, and culture are changing in modern society, unlike in the past. Among them, the main characteristic of management is the change from intangible goods to tangible goods, and companies are trying to pursue innovation such as introducing a new management method, converting from manufacturing to service, and expanding technology. However, with regard to human resources, which is becoming the most important for sustainable value creation in a changing era, efforts to enable practical innovation are lacking as they are still in a simple transition. Therefore, in this study, after recognizing the importance of human resources, we verified the relationship between the elements of the human resource in the service economy era according to organizational culture and organizational structure. The relationship between organizational culture and organizational structure by type was verified using the items of human resources, we verified the relationship between the elements of the human resource in the service economy era that were derived and verified in recent research. As a result, there were some significant differences in the image of human resources, we verified the relationship between the elements of the human resource by organizational culture and type of organization, but when the two factors were combined and interpreted, it was found that all of the human resources, we verified the relationship between the elements of the human resource in the service economy era were necessary. However, in order to overcome the limitation that the indicators of this study were limited, it is necessary to continue research through samples that consider various factors in the future and systematic classification by type of organization and industry by industry.

GIS Optimization for Bigdata Analysis and AI Applying (Bigdata 분석과 인공지능 적용한 GIS 최적화 연구)

  • Kwak, Eun-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.171-173
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    • 2022
  • The 4th industrial revolution technology is developing people's lives more efficiently. GIS provided on the Internet services such as traffic information and time information makes people getting more quickly to destination. National geographic information service(NGIS) and each local government are making basic data to investigate SOC accessibility for analyzing optimal point. To construct the shortest distance, the accessibility from the starting point to the arrival point is analyzed. Applying road network map, the starting point and the ending point, the shortest distance, the optimal accessibility is calculated by using Dijkstra algorithm. The analysis information from multiple starting points to multiple destinations was required more than 3 steps of manual analysis to decide the position for the optimal point, within about 0.1% error. It took more time to process the many-to-many (M×N) calculation, requiring at least 32G memory specification of the computer. If an optimal proximity analysis service is provided at a desired location more versatile, it is possible to efficiently analyze locations that are vulnerable to business start-up and living facilities access, and facility selection for the public.

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