• Title/Summary/Keyword: platform labor

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Strategy and Technology for Digital Transformation of Design and Construction of RC Structures (철근콘크리트골조 설계와 현장관리 디지털전환 전략과 기술개발)

  • Chee Kyeong Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.4
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    • pp.265-272
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    • 2023
  • This paper presents a conceptual strategy and technologies for the digital transformation of design and construction of reinforced concrete (RC) structures. The development of an automated detail design strategy for RC structures is described. Integrated digital platform based on 5D BIM concept is proposed for the replacement of the current technology environment-based 2D CAD. Generally, the detail design development is labor-intensive and iterative. Effective automation of relevant aspects can dramatically improve productivity and accuracy. The proposed solutions for the automated BIM modeling based on the rebar and formwork detail design automation achieves the productivity and accuracy sufficient for site application. The platform integrates and manages the information flow between each solution or application and provides it to all participants of the project. Finally, it is expected that the proposed strategy and technologies can be further enhanced to achieve the productivity and accuracy needed for widespread site application and digital transformation.

A Study on Image-Based Mobile Robot Driving on Ship Deck (선박 갑판에서 이미지 기반 이동로봇 주행에 관한 연구)

  • Seon-Deok Kim;Kyung-Min Park;Seung-Yeol Wang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1216-1221
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    • 2022
  • Ships tend to be larger to increase the efficiency of cargo transportation. Larger ships lead to increased travel time for ship workers, increased work intensity, and reduced work efficiency. Problems such as increased work intensity are reducing the influx of young people into labor, along with the phenomenon of avoidance of high intensity labor by the younger generation. In addition, the rapid aging of the population and decrease in the young labor force aggravate the labor shortage problem in the maritime industry. To overcome this, the maritime industry has recently introduced technologies such as an intelligent production design platform and a smart production operation management system, and a smart autonomous logistics system in one of these technologies. The smart autonomous logistics system is a technology that delivers various goods using intelligent mobile robots, and enables the robot to drive itself by using sensors such as lidar and camera. Therefore, in this paper, it was checked whether the mobile robot could autonomously drive to the stop sign by detecting the passage way of the ship deck. The autonomous driving was performed by detecting the passage way of the ship deck through the camera mounted on the mobile robot based on the data learned through Nvidia's End-to-end learning. The mobile robot was stopped by checking the stop sign using SSD MobileNetV2. The experiment was repeated five times in which the mobile robot autonomously drives to the stop sign without deviation from the ship deck passage way at a distance of about 70m. As a result of the experiment, it was confirmed that the mobile robot was driven without deviation from passage way. If the smart autonomous logistics system to which this result is applied is used in the marine industry, it is thought that the stability, reduction of labor force, and work efficiency will be improved when workers work.

Development of Task Planning System for Intelligent Excavating System Applying Heuristics (휴리스틱스(Heuristics)를 활용한 지능형 굴삭 시스템의 Task Planning System 개발)

  • Lee, Seung-Soo;Kim, Jeong-Hwan;Kang, Sang-Hyeok;Seo, Jong-Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.859-869
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    • 2008
  • These days, almost every industry's production line has become automatic and this phenomenon brought a lot of benefits such as increase in productivity and economical effect, assurance in industrial safety, better quality and compatibility. However, unlike industrial production line, in construction industry, automation has number of barriers like uncertainty incidents and intellectual judgment to make ability to make solution out of it. Therefore construction industry is still demanding use of construction machine through labor. Due to this matter operational labor in construction industry is aging and fading. To solve these problem, in developed nations like Europe, US or Japan are keep researching for the automation in construction and road pavement, strengthening and some other simple operations have been worked through automation but in civil engineering site, automation research is still low despite of its importance in constructional site. For automating civil engineering operation, effective operational plan have to be set by analyzing ground information acquainted. If skillful worker apply heuristics, trial & error can be reduced with increased safety and the effective work plan can be established. Hence, this research will introduce Intellectual Task Planning System for Intelligent Excavating System's effective work plan and heuristics applied in each steps.

Effect of Delivery Application Quality on Application Trust, Delivery Rider Trust, and Intention to Use: Focused on Trust Transfer in Online Platform Logistics (배달 애플리케이션 품질이 애플리케이션 신뢰, 라이더 신뢰 그리고 사용의도에 미치는 영향 : 온라인 플랫폼 물류에서의 신뢰 이전을 중심으로)

  • SEO, Won-Tae
    • The Korean Journal of Franchise Management
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    • v.12 no.4
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    • pp.41-54
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    • 2021
  • Purpose: Delivery food orders are on the rise due to the COVID 19 pandemic. Many customers are ordering food through delivery apps rather than visiting restaurants to eat out. Delivery application platforms are growing due to the development of O2O. Most of the people who provide gig worker for delivery applications are rider. Rider provides labor on their own terms and have more work flexibility and autonomy than ordinary workers. Trust can be transferred from a well-known entity to an unknown entity. From the customer's point of view of using the delivery application, trust can be seen through the third-party trust of the delivery application platform-rider-customer. Therefore, this study intends to investigate the effect on delivery application trust and rider trust through the well-known characteristics of delivery applications. Research design, data, and methodology: This study was conducted on Korean consumers over 20 years of age who have ordered food through a delivery application for the past month. After educating 5 investigators about the purpose of this study, 60 copies of the survey were conducted per person. During the investigation period, from September 2 to September 26, 2021, 322 copies were collected over 25 days. Among the collected questionnaires, 37 were excluded from insincere or partially unanswered, and 285 were used for analysis. In addition, the collected data were analyzed using SPSS 25.0 and AMOS 25.0. Result: As a result of the study, convenience, price, and variety of restaurants were found to have a significant positive (+) effect on app trust, but design did not have a significant effect on app trust. Also, it was found that convenience had a significant positive (+) effect on trust in rider, but design, price, and variety of restaurants did not have a significant effect. App trust was found to have a significant positive (+) effect on rider trust and intention to use, and it was found to have a significant positive (+) effect on rider trust and intention to use. Conclusions: First, this study established a structural framework between delivery application characteristics-delivery-app trust-rider trust-intention to use. Second, in this study, it was found that customer trust in well-known delivery applications was transferred to less-known rider trust. Third, the delivery application should increase the convenience of use. Fourth, delivery application should set the delivery fee appropriately. Fifth, delivery application must continuously train the rider.

A Study on the Cultural Industrialization and Content Change Direction of Pyeongsari, a Novel 'Toji (Land )' Background Space (소설 『토지』 배경지 평사리의 문화산업화와 콘텐츠 변화 방향 연구)

  • Choi, You-Hee
    • Journal of Popular Narrative
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    • v.26 no.2
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    • pp.221-247
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    • 2020
  • This paper examines the meaning of Pyeongsari, the main stage of the novel 'Toji (Land )' and the original experience space engraved in the lives of the characters and suggests the direction of Pyeongsari as a 'Toji (Land )' content platform. Pyeongsa-ri, an imaginary space in the novel, starts from the background of the original work and turns into a representative tourist space for Ha Dong-gun. However, it is necessary to provide cultural experience-type contents that visitors can experience in person. In the original work, Pyeongsari is an ideal community and a symbol of the Korean modern history of suffering and pioneering. Therefore, taking advantage of this meaning, it is necessary to prepare a cultural experience space that shows Confucian culture, women's labor culture, and shamanic culture to draw on visitors' experiences. In addition, the app should be developed in connection with transformed works that have been the driving force behind the reorganization of Pyeongsari, and education and experience spaces using augmented reality are provided on the web. This interaction between digital and reality makes the meaning of the original or transformed works contemporaneous, while contributing to the visitor's own experience. In addition, through this, Pyeongsari can evolve into a cultural experience content platform that reflects the meaning of Korean culture and life. This paper is significant in that it suggests the direction of Pyeongsari's space planning for the 'geography of meaningful places'. In addition, while showing how the imaginary space of the original literary work has reorganized the space of reality, there are implications for the media content of the literary work and the terrain of the culture and arts industry.

Intelligent Green House Control System based on Deep Learning for Saving Electric Power Consumption (전력 소모 절감을 위한 딥 러닝기반의 지능형 그린 하우스 제어 시스템)

  • Shin, Hyeonyeop;Yim, Hyokyun;Kim, Won-Tae
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.53-60
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    • 2018
  • Smart farm dissemination by continuously developing IoT is one of the best solution for decreasing labor in Korea farming area because of ageing. For this reason, the number of Smart farm in Korea is being increased. The Smart farm can control farming environment such as temperature for human. Specially, The important thing is controlling proper temperature for farming. In order to control the temperature, legacy smart farms are usually using pans or air conditioners which can control the temperature. However, those devices result in increasing production cost because the electric power consumption is high. For this reason, we propose a smart farm which can predict the proper temperature after an hour by using Deep learning to minimize the electric power consumption by controlling window instead of pans or air conditioners. We can see the 83% of electric power saving by means of the proposed smart farm.

Optimization Methodology for Sales and Operations Planning by Stochastic Programming under Uncertainty : A Case Study in Service Industry (불확실성하에서의 확률적 기법에 의한 판매 및 실행 계획 최적화 방법론 : 서비스 산업)

  • Hwang, Seon Min;Song, Sang Hwa
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.4
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    • pp.137-146
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    • 2016
  • In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer's capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer's skill-level. This study intends to social contribution through attempts to optimize enterprise's goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource's capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz's MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

u-IT Based Plant Green Growth Environment Management System (u-IT 기반의 그린 생장환경 관리 시스템)

  • Kim, Jong-Chan;Cho, Seung-Il;Ban, Kyeong-Jin;Kim, Chee-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.6
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    • pp.1391-1396
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    • 2011
  • A way to increase productivity in agriculture that is labor-centered industry is to graft IT technology. Today, many technologies in ubiquitous computing are deployed in all areas of society such as traffic control, automotive manufacturing, construction, defence, healthcare and clinical services. These IT technologies is gaining more attention as a fusion technology among traditional industries. To successfully build ubiquitous agriculture environment, it needs optimized core technology development for agriculture that includes sensor node H/W, middleware platform, routing protocol and agriculture environment application services. To achieve accurate botany growth environment management, we propose a green growth environment management system using environmental factor monitoring sensor and biological information sensors in greenhouse. By using our proposed system, it is expected to realize fusion complex agriculture technology with low cost.

Design and Implementation of Web-Based MINI-PACS using the DICOM (DICOM을 이용한 웹 기반 MINI-PACS 설계 및 구현)

  • 지연상;이성주
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.5
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    • pp.1095-1104
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    • 2000
  • In recent years, medical procedures have become more complex, while financial pressures for shortened hospital stays and increased efficiency in patient care have increased. As a result, several shortcomings of present film-based systems for managing medical images have become apparent. Maintaining film space is labor intensive and consumes valuable space. Because only single copies of radiological examinations exist, they are prone to being lost or misplaced, thereby consuming additional valuable time and expense. In this paper, mini-PACS for image archiving, transmission, and viewing offers a solution to these problems. Proposed mini-PACS consists of mainly four parts such as web module, client-server module, internal module, acquisition module. In addition, mini-PACS system includes DICOM converter that non-DICOM file format converts standard file format. In client-server module case, proposed system is combined both SCU (service class user: client) part and SCP(service class provider: sewer)part therefore this system provides the high resolution image processing techniques based on windows platform. Because general PACS system is too expensive for medium and small hospitals to install and operate the full-PACS. Also, we constructed web module for database connection through the WWW.

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An Empirical Analysis on the Compromised Delivery Model of Traditional Market Using Delivery Application (배달앱을 활용한 전통시장 배송 모형에 관한 실증분석)

  • YOO, Chang-Kwon;KIM, Gi-Pyoung
    • The Journal of Industrial Distribution & Business
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    • v.10 no.10
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    • pp.45-51
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    • 2019
  • Purpose - The purpose of this study was to propose a win-win development plan for not only suppliers of delivery applications but also traditional market vendor companies and delivery riders by analyzing existing delivery models and presenting a new delivery model to enhance competitiveness of the traditional market using delivery apps. Research desgin, data, and methodology - Specifically, small retailers, such as traditional markets and supermarkets, presented a compromised delivery model that utilizes the platform of specialized delivery app service providers for order reception, and that the delivery is delivered by delivery systems jointly hired by Vendor companies, such as franchising companies. To validate the significance of the trade-off delivery model, a cost-benefit analysis was conducted by those involved in the delivery application. Results - From the perspective of suppliers of specialized delivery applications, it is analyzed that the use of specialized delivery applications in traditional markets will be a new market opportunity for service providers to achieve increased sales. It is expected that consumer choice and satisfaction will be increased as convenience and accessibility of traditional market businesses that were available only through direct visit from the user side of the delivery application will be expanded. From the standpoint of delivery application franchises, it is analyzed that they can seek to increase sales and increase customer service as well as ease labor cost burden due to joint employment of delivery riders. The delivery rider will be able to seek to improve customer service due to job security, wage stability, risk reduction and overheated competition due to direct employment. Conclusion - In conclusion, the compromised delivery model solved the problems raised in the preceding study conducted on delivery application suppliers, users, franchises, and riders to establish that it could be a strategic alternative to increasing sales and expanding detailed rights for the self-employed in the traditional market, which are experiencing difficulties in management. However, the adoption of a compromise delivery model requires social consensus from those involved in the delivery application and requires legal, institutional and policy support, which will require continued follow-up research on the delivery model in the future.