• Title/Summary/Keyword: aging and productivity

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A Study on Policy Proposal for Senior Start-up and Marketing Strategies for Entrepreneurs (시니어 창업의 정책 제안과 마케팅전략 구축 방안에 관한 연구)

  • Yun, Jeong-Keun
    • Journal of Distribution Science
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    • v.11 no.1
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    • pp.55-63
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    • 2013
  • Purpose - As the members of the baby boomer generation have retired in earnest, the start-up market has received more attention than ever before. According to recent statistical data, an increasing number of entrepreneurs are in their fifties. There has been a continuous increase in promotional materials on small business issues published by start-ups. This means that senior start-ups have increased in number. A number of support systems have been established for youth start-ups, but there are few government support policies in place for the senior start-up market. Thus, this study suggests a number of constructive alternatives from the perspective of government policy and marketing strategy for entrepreneurs, in order to generate competitiveness in the start-up process, through examining the current state of the senior start-up and by diagnosing extant problems. Research design, data, methodology - This study gives a number of options regarding the government's support policies and the securing of competitiveness in order to vitalize senior business start-ups. As for the government's support policies, funding support policy, publicizing business start-up policies, and operating systematic mentoring policies before retirement have all been covered. In particular, in order for senior business start-ups to become competitive, development through mutual relations with diverse policies is urgently needed. The aging population is becoming an issue in Korea, so businesses for the aged, and the creation of jobs for these people, will become a social issue. Senior business start-ups are playing an important role in expanding enterprise productivity, in addition to enhancing national competitiveness. Expanding senior business start-ups is important, because they also serve to expand the national infrastructure. Productivity increase through continuous expansion is thus recommended. Results - In order to expand the competitiveness of business start-ups, marketing-related observations and learning in regard to customers are necessary for the baby boomer generation, and competitiveness for seniors is urgently needed. Conclusions - Studies on the business start-up policies for the domestic baby boomer generation are almost non-existent, and systematic studies on small businesses are necessary. Only the government is providing statistical studies for small businesses, and such research remains at a general level for entrepreneurs. Therefore, a support system that can actually assist entrepreneurs is essential. Continuous business start-up studies with respect to the baby boomers should be vitalized, to invigorate studies on competition. In order to supplement and strengthen foundational support, senior business start-ups must develop various competitive capabilities with a focus on the customer. The government and the various stakeholder agencies and organizations involved with start-up businesses must find ways to offer support to founders. Such support should include access to knowledge and legal and consultancy services in order to incubate the rapid increase in start-ups founded by seniors. Government support projects should be expanded to meet this end.

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Applicability Evaluation of Mobile Mapping System for Road Construction Surveying (도로 시공측량을 위한 모바일맵핑시스템의 적용성 평가)

  • Park, Joon Kyu;Lee, Keun Wang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.169-175
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    • 2022
  • Korea's construction industry has a shortage and aging of construction manpower, low productivity compared to other industries, and a high rate of industrial accidents. The Ministry of Land, Infrastructure and Transport is preparing for the 4th industrial revolution and is expanding investment in construction automation and innovative growth engines to improve productivity in the construction industry. In order for new technologies to be utilized in the road construction field, the accuracy of the technologies and the applicability of each type of work must be evaluated. In this study, the accuracy of the mobile mapping system was tried to verify based on the relevant work regulations, and to suggest the applicability of the mobile mapping system to high-speed driving tracks through data acquisition and analysis on road construction sites. The accuracy of the equipment used in the study was verified in accordance with the relevant work regulations, and the possibility of applying the mobile mapping system used for the study to road construction surveying was presented with a maximum error of less than 10cm in the horizontal and vertical directions. In addition, the possibility of utilizing the road construction survey using the mobile mapping system was presented through comparison with the existing method for data acquisition time for construction surveying, production of construction status survey results, and calculation of heatmap and earthworks. In the future, the use of construction status surveying of the mobile mapping system will greatly improve the efficiency of construction work.

A Quality Prediction Model for Ginseng Sprouts based on CNN (CNN을 활용한 새싹삼의 품질 예측 모델 개발)

  • Lee, Chung-Gu;Jeong, Seok-Bong
    • Journal of the Korea Society for Simulation
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    • v.30 no.2
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    • pp.41-48
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    • 2021
  • As the rural population continues to decline and aging, the improvement of agricultural productivity is becoming more important. Early prediction of crop quality can play an important role in improving agricultural productivity and profitability. Although many researches have been conducted recently to classify diseases and predict crop yield using CNN based deep learning and transfer learning technology, there are few studies which predict postharvest crop quality early in the planting stage. In this study, a early quality prediction model is proposed for sprout ginseng, which is drawing attention as a healthy functional foods. For this end, we took pictures of ginseng seedlings in the planting stage and cultivated them through hydroponic cultivation. After harvest, quality data were labeled by classifying the quality of ginseng sprout. With this data, we build early quality prediction models using several pre-trained CNN models through transfer learning technology. And we compare the prediction performance such as learning period and accuracy between each model. The results show more than 80% prediction accuracy in all proposed models, especially ResNet152V2 based model shows the highest accuracy. Through this study, it is expected that it will be able to contribute to production and profitability by automating the existing seedling screening works, which primarily rely on manpower.

A Study on Improvement of throughput-linked Port Development (Trigger Rule) System (물동량 연동 항만개발제도 개선방안 연구)

  • LEE, Su-Young;LEE, Na-Young
    • Journal of Korea Port Economic Association
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    • v.39 no.3
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    • pp.179-189
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    • 2023
  • Korea's port development adjusts the completion time and size of port facilities according to the future port throughput. The current port development system, which is referred to as "throughput-linked port development (Trigger Rule)", has received positive evaluation for efficiently executing the limited port development budget. Recently concerns have been growing over deteriorating service levels in port facilities in Korea due to accelerated aging of terminal facilities. However, the current port development system does not possess any standard for assessing the level of service and utilizing development indicators. The purpose of this paper is to calculate the Port Service Index (PSI) by selecting indicators to measure the Level of Service (LOS) of ports and deriving weights between the indicators, so that the current "throughput-linked port development (Trigger Rule)" can be linked with the level of service. Based on the result of analysis on a variety of preceding studies, the ship waiting rate, berth productivity, ship turnaround time and ship productivity were selected as four indicators to constitute the Port Service Index. The AHP and entropy methodologies were used to derive weights for each of four indicators which were later combined to calculate the comprehensive weight. The calculation formula of the Port Service Index (PSI) was derived by using the aggregated weights of each indicator, based on which the LOS of domestic container and bulk terminals were evaluated and this measurement result was divided into 6 classes to define each LOS. This paper contributes to draw the improvement measures for port development system that are able to connect the quantitative indicator of throughput, as well as a qualitative indicator of the level of "service".

Analyzing Soybean Growth Patterns in Open-Field Smart Agriculture under Different Irrigation and Cultivation Methods Using Drone-Based Vegetation Indices

  • Kyeong-Soo Jeong;Seung-Hwan Go;Kyeong-Kyu Lee;Jong-Hwa Park
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.45-56
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    • 2024
  • Faced with aging populations, declining resources, and limited agricultural productivity, rural areas in South Korea require innovative solutions. This study investigated the potential of drone-based vegetation indices (VIs) to analyze soybean growth patterns in open-field smart agriculture in Goesan-gun, Chungbuk Province, South Korea. We monitored multi-seasonal normalized difference vegetation index (NDVI) and the normalized difference red edge (NDRE) data for three soybean lots with different irrigation methods (subsurface drainage, conventional, subsurface drip irrigation) using drone remote sensing. Combining NDVI (photosynthetically active biomass, PAB) and NDRE (chlorophyll) offered a comprehensive analysis of soybean growth, capturing both overall health and stress responses. Our analysis revealed distinct growth patterns for each lot. LotA(subsurface drainage) displayed early vigor and efficient resource utilization (peaking at NDVI 0.971 and NDRE 0.686), likely due to the drainage system. Lot B (conventional cultivation) showed slower growth and potential limitations (peaking at NDVI 0.963 and NDRE 0.681), suggesting resource constraints or stress. Lot C (subsurface drip irrigation) exhibited rapid initial growth but faced later resource limitations(peaking at NDVI 0.970 and NDRE 0.695). By monitoring NDVI and NDRE variations, farmers can gain valuable insights to optimize resource allocation (reducing costs and environmental impact), improve crop yield and quality (maximizing yield potential), and address rural challenges in South Korea. This study demonstrates the promise of drone-based VIs for revitalizing open-field agriculture, boosting farm income, and attracting young talent, ultimately contributing to a more sustainable and prosperous future for rural communities. Further research integrating additional data and investigating physiological mechanisms can lead to even more effective management strategies and a deeper understanding of VI variations for optimized crop performance.

Family Planning and Maternal-Child Health Services that Disciplined Itself in Primary Health Care Post from 1980 to 2009 (보건진료소 가족계획 및 모자보건사업(1980년~2009년))

  • Son, Gye-Soon
    • Journal of Korean Academy of Rural Health Nursing
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    • v.3 no.2
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    • pp.104-115
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    • 2008
  • Purpose: A study of the family planning and Maternal-Child Health Services that disciplined itself in primary health care post form 1980 to 2009. Method: Investigation studies family planning in primary health care post and a change process of a Maternal-Child Health Services into case by case until 2009 from 1980. Results: Our country family planning business began at economic development dimensions in order to solve a poverty issue. This business goal were childbirth decrease of pregnancy possibility couple aged 19~49 and improve to mother and child health. For this goal, all kinds of health education included sex education and contraception education, contraception service, comprehensive maternal and child health service that management of front and back of childbirth etc. are provided. According to fail down a birthrate from 6.0(1962) to 1.25(2009), the nation reached to a dilemma called childbirth encouragement policy. Conclusions: Decrease of labor supply by low birthrate, decrease numerical an employed person by aging was brought a labor shortage and decrease of productivity of labor of industrial manpower. Deterioration phenomenon of financial income and expenditure by consumption and investment contraction caused decrease of slowdown of economic growth and potential growth rate, and a social cost burden is increased by deterioration financial old man support burden increase by this and pensions and health insurance, a sharp increase of social welfare cost etc. Now, in order to solve a low birth issue, the government establishes a whole nation forwarding system and establishes basic plan social low birth and advanced age, and to prepare for childbirth fault factors removal and advanced age society shall endeavor.

Robot Development Trend and Prospect (신 성장동력의 로봇개발 동향과 전망)

  • Kim, Sung Woo
    • Convergence Security Journal
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    • v.17 no.2
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    • pp.153-158
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    • 2017
  • The robot imitates humans and recognizes the external environment and judges the situation. The robot is a machine that operates autonomously. Robots are divided into manufacturing robots and service robots. Service robots are classified as professional service robots and personal service robots. Because of the intensified competition of productivity in manufacturing industries, rising safety issues, low birth rate and aging, the robots industry is emerging. Recently, the robot industry is a complex of advanced technology fields, and it is attracting attention as a new industry where innovation potential and growth potential are promising. IT, BT, and NT related elements are fused and implemented, and the ripple effect is very large. Due to changes in social structure and life patterns, social interest in life extension and health is increasing. There is much interest in the medical field. Now the artificial intelligence (AI) industry is growing rapidly. It is necessary to secure global competitiveness through strengthening cooperation between large and small companies. We must combine R&D investment capability and marketing capability, which are advantages of large corporations, and robotic technology. We need to establish a cooperative model and secure global competitiveness through M&A.

Changes in the Concept of Nutrients and Transition of Plant Breeding (영양소의 변천과 식물육종의 추이)

  • Harn, Chang-Yawl
    • Journal of Plant Biotechnology
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    • v.30 no.4
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    • pp.387-397
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    • 2003
  • During the first half of twentieth century, even though the importance of non-calorie essential micronutrients of 13 vitamins and 17 minerals has been known to alleviate nutritional disorder; the primary objective of agriculture and plant breeding programs has been to increase the productivity and seed yields, and macronutrients of proteins, fats, and carbohydrates made up the bulk of foodstuff which were used primarily as an energy source. In the last decade it has been found that non-essential micronutrients encompass a vast group of phytochemicals including antioxidants that are not strictly required in the diet but when present at sufficient levels work as health-promoting chemicals. Nowadays agricultural crops are grown for health rather than for food or fiber, and modifying the nutritional compositions of plant foods has become an urgent health issue. To ensure an adequate intake of essential vitamins and minerals, and to increase the consumption of health-promoting phytochemicals, the researches on plant secondary metabolism have been made. The attempt to improve nutritional quality of crops has been blocked by a lack of basic knowledge of plant metabolism. The advent of genomics era enabled new approaches to make crossing regardless of species, family, or phylum barriers, and the accumulation in our basic knowledge on plant secondary metabolism during the coming decade would be tremendous. As the major staple crops contain insufficient amount of many micronutrients, fortification strategy will be a necessary practice. Elevated intake of specific vitamins, C, E, and $\beta$-carotene, mineral selenium, antioxidants, and phytochemicals significantly reduces the risk of chronic disease such as cancer, cardiovascular disorder, diabetis, and other degenerative disease associated with aging. As the attempt to improve the nutritional quality of crops requires the basic knowledges on plant metabolism, plant biochemistry, human physiology, and food chemistry, strong interdisplinary collaboration among plant biotechnologists, human nutritionists, and food scientists will be needed. Inhibition of cancer, cardiovascular disease, and other degenerative disorder may be the biggest goal facing nutritional plant breeders. But the assumption that simply increasing dietary level of any compound will necessarily improve human health is a dangerous idea because many plant secondary products and dietary contaminants have paradoxical (hermetic) effects. Before biotechnical manipulation is undertaken to elevate or reduce any individual constituent of crops, the contribution of the micronutrient to human health must first be investigated.

Development and testing of a composite system for bridge health monitoring utilising computer vision and deep learning

  • Lydon, Darragh;Taylor, S.E.;Lydon, Myra;Martinez del Rincon, Jesus;Hester, David
    • Smart Structures and Systems
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    • v.24 no.6
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    • pp.723-732
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    • 2019
  • Globally road transport networks are subjected to continuous levels of stress from increasing loading and environmental effects. As the most popular mean of transport in the UK the condition of this civil infrastructure is a key indicator of economic growth and productivity. Structural Health Monitoring (SHM) systems can provide a valuable insight to the true condition of our aging infrastructure. In particular, monitoring of the displacement of a bridge structure under live loading can provide an accurate descriptor of bridge condition. In the past B-WIM systems have been used to collect traffic data and hence provide an indicator of bridge condition, however the use of such systems can be restricted by bridge type, assess issues and cost limitations. This research provides a non-contact low cost AI based solution for vehicle classification and associated bridge displacement using computer vision methods. Convolutional neural networks (CNNs) have been adapted to develop the QUBYOLO vehicle classification method from recorded traffic images. This vehicle classification was then accurately related to the corresponding bridge response obtained under live loading using non-contact methods. The successful identification of multiple vehicle types during field testing has shown that QUBYOLO is suitable for the fine-grained vehicle classification required to identify applied load to a bridge structure. The process of displacement analysis and vehicle classification for the purposes of load identification which was used in this research adds to the body of knowledge on the monitoring of existing bridge structures, particularly long span bridges, and establishes the significant potential of computer vision and Deep Learning to provide dependable results on the real response of our infrastructure to existing and potential increased loading.

A Study on the Expansion of the Employment of the Elderly in Small Business: Focusing on the Opinions of Small Business Owners

  • YOO, Beong-Sun
    • The Journal of Industrial Distribution & Business
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    • v.11 no.5
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    • pp.35-44
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    • 2020
  • Purpose: The purpose of this study is to present a plan to expand the employment of the elderly in Small business as one of the ways to solve the problem of the supply and demand of the company due to the aging population and the problem of the elderly poverty. Research design, data and methodology: The method of this study is a qualitative research method, and the researcher visited a small and medium-sized company directly and collected data by conducting an in-depth interview with a business owner. The interview period was conducted on a total of 15 business owners from November 5, 2013 to November 18, 2013. Results: First, the reason why companies hire the elderly is because they are suitable people, and the reason why they are not employed is because the elderly are not suitable. Second, it was found that the most recruiting paths continued to work after retirement. Third, the strengths of the elderly in their businesses were diligence, integrity, leadership, wisdom, warmth, and skill. Disadvantages the elderly in their businesses include wanting to be treated as an adult, poor productivity, poor accuracy, and health risks. Fourth, in case of hiring the elderly, they were considering convergence with young employees, and it was suggested that there are no difficulties in being an elderly because the companies hiring the elderly use the elderly according to the characteristics of the elderly. Fifth, It is realistic to actively utilize the employment system after retirement. Sixth, it was found that, unlike young people, it is not easy to recruit people on the Internet, so it is necessary to improve the system. Lastly, some industries clearly distinguished between the jobs of the elderly and the jobs of the young, but in many industries, it was desirable to create jobs for the elderly by harmonizing the main and secondary jobs. Conclusion: Ultimately, the work of the elderly in small and medium-sized enterprises should be reborn as a high-quality job that can solve the poverty of the elderly by working as a regular worker in the enterprise, rather than simply working for the elderly.