• Title/Summary/Keyword: Economic Level

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A Study on the Possibility of Blockchain Technology Adoption in the Logistics Industry (물류산업 내 블록체인 기술 도입 가능성 연구)

  • Kye, Dong Min;Hur, Sung Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.116-131
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    • 2022
  • With the recent progress of the 4th industrial revolution, the logistics industry is also making efforts to introduce smart logistics, and various attempts are being made to spread logistics informatization, which is the core of smart logistics. Among these, blockchain technology is considered as a technology that will contribute to the spread of logistics informatization and is being applied to various fields. Accordingly, in this study, to discuss the applicability of blockchain technology to the logistics industry, the characteristics of blockchain technology were defined, related cases were reviewed, and a survey was conducted on the possibility of application in the industry. Blockchain technology can be defined as having the characteristics of economic feasibility, speed, transparency in terms of work efficiency, and scalability, decentralization (decentralization), reliability (security) in terms of added value creation. It was confirmed that many are being introduced in the fields of distribution, finance, personal information, and public services. As a result of the survey on the logistics industry, it was confirmed that the level of informatization of the logistics industry had entered the stage of generating profits by using information, but the industry was passive in sharing and utilizing information due to concerns about information leakage. Nevertheless, the awareness and expectation of the need for informatization is high, and it is expected that the informatization of the logistics industry and realizing smart logistics based on it will advance one step further with the introduction of blockchain technology in the future.

How are Good Dogs Made? : Focusing on the Cultural Intermediary Work of Dog Trainers in EBS1 and KBS2 (좋은 반려견은 어떻게 만들어지는가? : EBS1 <세상에 나쁜 개는 없다>와 KBS2 <개는 훌륭하다>의 반려견 훈련사의 문화매개 작업을 중심으로)

  • Choo, Hye-Won
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.4
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    • pp.17-29
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    • 2020
  • This research looked into the two programs There are No Bad Dogs in the World(EBS1) and The Dogs are Respectable(KBS2) that can be considered as one of the factors that changed the culture of dog rearing in the country. Focus was also directed toward the cultural intermediary work of trainer Hyung-Wook Kang and veterinarian Chae-Hyun Seol, and the linguistic texts and visual images that describe the programs were analyzed. The findings showed that the two experts reproduce dog-related beliefs and values using devices such as "serious" storytelling, dog bodies, and guardian re-education. They perform cultural intermediary work in that they create the value of the companion dog culture in these programs and provide corresponding products and services to consumers through direct face-to-face interactions. This study contributes academically in the following respects. First, the issue of companion dogs in Korea was approached from a cultural point of view rather than bounding analysis to the industrial and economic level called the "petconomy" (pet + economy). Second, the concept of cultural intermediaries and related theories were examined, along with how the two experts engender the value of dog training in the broadcasting program. The results are expected to help illustrate the diversity of Korean dog culture.

Molecular epidemiology of Aleutian mink disease virus causing outbreaks in mink farms from Southwestern Europe: a retrospective study from 2012 to 2019

  • Prieto, Alberto;Fernandez-Antonio, Ricardo;Lopez-Lorenzo, Gonzalo;Diaz-Cao, Jose Manuel;Lopez-Novo, Cynthia;Remesar, Susana;Panadero, Rosario;Diaz, Pablo;Morrondo, Patrocinio;Diez-Banos, Pablo;Fernandez, Gonzalo
    • Journal of Veterinary Science
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    • v.21 no.4
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    • pp.65.1-65.13
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    • 2020
  • Background: Aleutian mink disease virus (AMDV) causes major economic losses in fur-bearing animal production. The control of most AMDV outbreaks is complex due to the difficulties of establishing the source of infection based only on the available on-farm epidemiological data. In this sense, phylogenetic analysis of the strains present in a farm may help elucidate the origin of the infection and improve the control and biosecurity measures. Objectives: This study had the following aims: characterize the AMDV strains from most outbreaks produced at Spanish farms between 2012-2019 at the molecular level, and assess the utility of the combined use of molecular and epidemiological data to track the possible routes of infection. Methods: Thirty-seven strains from 17 farms were partially sequenced for the NS1 and VP2 genes and analyzed phylogenetically with other strains described worldwide. Results: Spanish AMDV strains are clustered in four major clades that generally show a good geographical correlation, confirming that most had been established in Spain a long time ago. The combined study of phylogenetic results and epidemiological information of each farm suggests that most of the AMDV outbreaks since 2012 had been produced by within-farm reservoirs, while a few of them may have been due to the introduction of the virus through international trade. Conclusions: The combination of phylogenetic inference, together with epidemiological data, helps assess the possible origin of AMDV infections in mink farms and improving the control and prevention of this disease.

Cost Estimation Model for Introduction to Virtual Power Plants in Korea (국내 가상발전소 도입을 위한 비용 추정 모델)

  • Park, Hye-Yeon;Park, Sang-Yoon;Son, Sung-Yong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.178-188
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    • 2022
  • The introduction of virtual power plants is actively being discussed to solve the problem of grid acceptability caused by the spread of distributed renewable energy, which is the key to achieving carbon neutrality. However, a new business such as virtual power plants is difficult to secure economic feasibility at the initial stage of introduction because it is common that there is no compensation mechanism. Therefore, appropriate support including subsidy is required at the early stage. But, it is generally difficult to obtain the cost model to determine the subsidy level because of the lack of enough data for the new business model. In this study, a survey of domestic experts on the requirements, appropriate scale, and cost required for the introduction of virtual power plants is conducted. First, resource composition scenarios are designed from the survey results to consider the impact of the resource composition on the cost. Then, the cost estimation model is obtained using the individual cost estimation data for their resource compositions using logistic regression analysis. In the case study, appropriate initial subsidy levels are analyzed and compared for the virtual power plants on the scale of 20-500MW. The results show that mid-to-large resource composition cases show 29-51% lower cost than small-to-large resource composition cases.

Study of Decision Making Procedures for Follow-up Management of Water-friendly Riverfront (하천 내 친수지구의 사후관리 의사결정 절차 방법 연구)

  • Lee, Seung Yeon;Lee, Sang Eun;Kim, Na Hui;Lee, Seung Oh
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.4
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    • pp.81-91
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    • 2021
  • The reasonable decision making procedure for conducting follow-up management of water-friendly riverfront have been proposed in the national streams when the use of the level of usage for facility becomes degraded. It consists of two part usage: the selection of destination and the follow-up strategy with the alternatives. Considering the water-friendly riverfront grade derived from prior research, Grade IV and V were selected as candidates, and if the economic utility became low, it should be selected as candidates for the follow-up management. In addition, the basic plan for follow-up management was reviewed and alternatives suitable for the strategy could be derived considering the need for the operation of water-friendly riverfront in target site. The prior study on the follow-up decision making process of the water-friendly riverfront has not yet been confirmed, but since the life cycle of such facilities become almost expired, systematic procedures are needed to enable the use of administrative procedures for users' convenience and safety.

A Study on the Movement of the Young Employed and Unemployed in the Labor Market (청년층 취업자 및 미취업자 노동시장 이동 연구)

  • Jang, Yu Mi
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.307-313
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    • 2022
  • In Korea, youth participation in economic activities and unemployment appear at the same time, which is a more serious problem, so a study on the labor market movement can be viewed as a study to overcome youth unemployment. The purpose of this study is to examine how labor movement between the employed and the unemployed is progressing through the survey data of the youth panel among the employment panel and to identify the factors affecting the movement path and movement of the employed and the unemployed. In the case of the employed, they possessed professional qualifications, and in the case of unstable occupational status, they attempted to move to a stable position after being employed. In the case of the unemployed, the probability of failing to find a job was higher as they had no job search experience, the longer the job search period, and the less effort they made. The fact that the home environment directly or indirectly influences the movement of the labor market remains unchanged. On the other hand, the higher the educational level, the more stable, and the most stable the metropolitan area. Therefore, more urgently than ever, a plan to revitalize the local labor market through the organic relationship between the government, local governments, local industry, and local universities and balanced regional development should be sought.

Integral Pest Management of the Western Flower Thrips, Frankliniella occidentalis: Optimal Time to Introduce a Natural Predator after Chemical Insecticide Treatment (꽃노랑총채벌레 종합방제 - 화학농약 처리 후 안정적 천적 투입 시기)

  • Chulyoung, Kim;Donghyun, Lee;Donghee, Lee;Eunhye, Ham;Yonggyun, Kim
    • Korean journal of applied entomology
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    • v.61 no.4
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    • pp.519-528
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    • 2022
  • The western flower thrips, Frankliniella occidentalis, infests the hot pepper cultivated in greenhouses and has been considered to be controlled by a natural enemy, Orius laevigatus. However, sporadic outbreaks of the thrips due to fast population growth occasionally need chemical insecticide treatments. This study was designed to develop an optimal integrated pest management (IPM) by using selective insecticides along with a safe re-introduction technique of the natural enemy after the chemical insecticide treatment. First, chemical insecticides were screened to select the high toxic commercial products against F. occidentalis. Five insecticides containing active components (pyriproxyfen+spinetoram, abamectin, spinosad, acetamiprid, and chlorpyrifos) were selected among 17 commercial products. These five selected insecticides gave different toxic properties to the natural enemy, O. laevigatus. Especially, abamectin and spinetoram gave relatively low toxicity to the natural enemy compared to organophosphate or neonicotinoid. Furthermore, the five selected insecticides were assessed in their residual toxicities against O. laevigatus. Organophosphate and neonicotinoid insecticides showed relatively longer residual toxicity compared to abamectin and spinosads. Indeed, abamectin or spinetoram did not give any significant toxicity to O. laevigatus after 3 days post-treatment. These residual effects were further supported by the assessment of the chemical residue analysis of the insecticides using LC-MS/MS. These results suggest an IPM technology: (1) chemical treatment of abamectin or spinetoram against sporadic outbreaks of F. occidentalis infesting hot pepper and (2) re-introduction of O. laevigatus to the crops after 3 days post-treatment to depress the equilibrium density below an economic injury level.

Analysis of Discriminatory Patterns in Performing Arts Recognized by Large Language Models (LLMs): Focused on ChatGPT (거대언어모델(LLM)이 인식하는 공연예술의 차별 양상 분석: ChatGPT를 중심으로)

  • Jiae Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.401-418
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    • 2023
  • Recently, the socio-economic interest in Large Language Models (LLMs) has been growing due to the emergence of ChatGPT. As a type of generative AI, LLMs have reached the level of script creation. In this regard, it is important to address the issue of discrimination (sexism, racism, religious discrimination, ageism, etc.) in the performing arts in general or in specific performing arts works or organizations in a large language model that will be widely used by the general public and professionals. However, there has not yet been a full-scale investigation and discussion on the issue of discrimination in the performing arts in large-scale language models. Therefore, the purpose of this study is to textually analyze the perceptions of discrimination issues in the performing arts from LMMs and to derive implications for the performing arts field and the development of LMMs. First, BBQ (Bias Benchmark for QA) questions and measures for nine discrimination issues were used to measure the sensitivity to discrimination of the giant language models, and the answers derived from the representative giant language models were verified by performing arts experts to see if there were any parts of the giant language models' misperceptions, and then the giant language models' perceptions of the ethics of discriminatory views in the performing arts field were analyzed through the content analysis method. As a result of the analysis, implications for the performing arts field and points to be noted in the development of large-scale linguistic models were derived and discussed.

A Study on the Prevalence and Influencing Factors of Suicide Ideation during the COVID-19 Pandemic (코로나 대유행 시기 자살사고 유병률과 영향요인에 관한 연구)

  • SeongYeon Kim ;HyoEun Park ;BoRa Lee ;DongHun Lee
    • Korean Journal of Culture and Social Issue
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    • v.29 no.3
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    • pp.405-427
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    • 2023
  • This study aimed to identify demographic variables(gender, age group, occupation, living arrangement, economic level, respiratory and chronic diseases, previous medical history), COVID-19 variables(COVID-19 prevention behavior, frequent use of media to obtain COVID-19 information), and psychological behavioral variables(depression, anxiety, loneliness, and increased drinking). From February to March 2021, an online survey of adults was conducted, and a total of 1,434 data were used for analysis. 260 out of 1,434 people were confirmed to have suicide ideation, the prevalence of suicide ideation among adults during the COVID-19 was 18.1%. Logistic regression analyses indicated elevated odds of suicidal ideation among individuals in their 20s and 30s, those living alone, exhibiting fewer COVID-19 preventive behaviors, consuming COVID-19 information more frequently through media, and reporting higher levels of loneliness. Furthermore, within the group experiencing depression, anxiety, and increased drinking, greater levels of these factors correlated with higher odds of suicidal ideation. Based on the results, implications and significance of the study were discussed.

Forecasting Korean CPI Inflation (우리나라 소비자물가상승률 예측)

  • Kang, Kyu Ho;Kim, Jungsung;Shin, Serim
    • Economic Analysis
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    • v.27 no.4
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    • pp.1-42
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    • 2021
  • The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.