• Smart Media Journal
• /
• v.12 no.10
• /
• pp.85-92
• /
• 2023

In December 2014, Livestock and Livestock Products Traceability Act was established, allowing consumers to receive livestock traceability information. While the Livestock Traceability System provides consumers with transparent and fair information about their food, it has brought increased workload and penalty burdens to stakeholders in the livestock industry. In this paper, we propose an IoT system for inventory management based on traceability numbers to enable sellers to conveniently provide livestock traceability information to consumers. We analyzed the protocol for managing data from electronic scales and conducted functional testing and verification on mobile devices. Furthermore, we implemented the design and system functionality, taking into account UI/UX on Android OS-based devices to synchronize and interconnect traceability and product information with electronic scales. We anticipate that the proposed approach will minimize user inconvenience and raise production efficiency in the existing market.

• The Korean Journal of Food And Nutrition
• /
• v.13 no.3
• /
• pp.221-225
• /
• 2000

서울,충북지역의 주부 590명을 대상으로 시판김치의 사용실태를 설문 조사한 결과는 다음과 같다. 시판김치의 구매는 30대에서 많았고 고졸의 경우에 많았다. 직업 유무, 월수입, 주거 및 가족형태는 시판 김치 이용과 유의적인 차이를 보이지 않았지만 연령과 교육수준에 따라서는 유의적인 차이(P<0.05)연령이 낮을수록, 교육수준은 높을수록 시판김치를 이용하는 것으로 나타났다. 시판김치의 선호도는 배추김치가 73.2%로 높게 나타났고, 시판김치 구매 장소는 주로 대형 수퍼마켓을 이용하였으며, 1회 구매분량은 3포기를 구맹하는 경우가 가장 많았다. 구매 이유는 편리하기 때문과 가사와 자녀로 시간이 부족하여 구매하는 경우가 많았다. 또한 어떻게 담그는지 몰라서 구매하는 경우도 있었다. 제품 선택 동기는 주로 구맹 경험에 의해서 시판결치를 구입하였다. 광고를 보고 구매하는 경우도 있었고 재료나 점원의 권유에 의해서 구매하는 경우도 있었다. 응답자들이 가장 맣이 지적한시판 김치으 개선점은 가격이었다. 가격이 비싸다고 생각하는 경구가 많았다. 그밖에 위생명, 맛의 다양성, 분량과 용기의 개선도 필요하다고 생각하는 경우가 있었다. 향후 시판김치 구매 여부에 대해서는 73.2%가 긍정적으로 응답하여 앞으로도 시판김치를 구매할것으로 나타났다. 이상의 결과를 보면 상품화 된 김치의 이용은 젊은 세대뿐만 아니라 교육수준의 향상에 의해 주부들의 라이프 스타일이 식생화에도 반영되기 때문에 계속증가할 것으로예측된다. 그러므로 본 연구의 결과를 토대로 하여 가격면, 위생면, 맛의 다양성, 분량과 용기 등에 있어서도 한 단꼐 개선된 고품질 김치의 생산이 요구된다고 볼 수 있다.

• Journal of the Korea Convergence Society
• /
• v.13 no.3
• /
• pp.185-190
• /
• 2022

The study of the meaning of learning began with the question of what causes people to start learning. Learning is humanization and personification. Learning is a basic human instinct, and the essence of learning is to understand other people and my life, learn community, and learn social capital. Learning gives humans nomadic judgment and provides an opportunity for a productive life for mankind, who must live in constant harmony with the social environment. Learning provides opportunities for self-management, communication with various generations, and self-actualization.

• Korean Journal of Animal Reproduction
• /
• v.26 no.2
• /
• pp.95-104
• /
• 2002

This study was performed during the four seasons for the production of transgenic pigs containing the human erythropoietin(hEPO) transgene. Purebred Landrace gilts and sows approximately 8∼15 months of age (n=42) were used fur the collection of 1-cell zygotes for DNA microinjection and transfer. Retrospectively, estrus synchronization and superovulation schemes were evaluated to assess practicality for zygote collection. Synchronization and superovulation procedures were used that cyclic gilts were synchronized with 20mg altrenogest (ALT) per day for 9days after PG600 administration followed by superovulation with 1500IU pregnant mares serum gonadotropin (PMSG) and 500IU human chorionic gonadotrophin (hCG). Preparation of recombinant gene for microinjection is mice whey acidic protein promoter (mWAP) linked to human erythropoietin (hEPO) gene. After hormone treatment, 650 embryos were collected from 23 donors and 83.1% (540/650) embryos were in 1-cell stage which can be visualized the pronuclei for DNA microinjection. A total of 543 DNA microinjected embryos fiom donors were transferred to 19 synchronized recipients, seven of them maintained pregnancy and delivered 47 piglets. One of the 47 offsprings were determined to have transgene by PCR analysis. The overall rate of transgenic production was 2.13% (tansgenic/offspring). This study provides the success and useful information regarding production of transgenic pig for bioreactor research.

• Korean Journal of Animal Reproduction
• /
• v.25 no.1
• /
• pp.9-17
• /
• 2001

To determine the effect of the characteristics of the corpus luteum (CL) and serum metabolites on pregnancy rate following embryo transfer in Hanwoo cow, recipients were synchronized the estrus with CIDR. in vivo or in vitro produced bovine embryos were transferred to synchronized recipients. The characteristics of the CL were checked by rectal palpation and ultrasound. Blood samples were collected from jugular vein at Day 7 and analysed progesterone and serum metabolites. The results obtained from this study were as follows; 1. Total 397 embryos were transferred to recipient and 121 heads out of them were pregnant. The pregnancy rate was 30.5% and slightly differences between farms. 2. There was not significantly different the pregnancy rates between the size of CL and the cavity CL. In the recipients which had more than 2ng/$m\ell$ of serum progesterone level, the pregnancy rates was in higher than others (46.6% vs. 24.4%, 15.0%). 3. The highest pregnancy rate was obtained at 90 to 110mg/㎗ in serum total cholesterol, 14 to 16mg/㎗ in BUN, and 70 to 80mg/㎗ in serum glucose, respectively, and these metabolites in blood could be used as the criteria in the selection of recipient at embryo transfer.

• Reproductive and Developmental Biology
• /
• v.32 no.3
• /
• pp.199-203
• /
• 2008

This study was performed to analyze the characterization of plasma hormonal levels during pregnancy in the Hanwoo recipients pregnant by artificial insemination (AI) or somatic cell nuclear transfer (SCNT) embryos. The synchronized recipients pregnant by SCNT embryos produced by Hanwoo fetal fibroblast cells (n=8) and by AI (control, n=5) were used. The plasma hormonal levels were measured by RIA (P4 and E2) and ELISA (cortisol), respectively. In control, the increase of E2 and the decrease of P4 were occurred immediately before the initiation of parturition. The expression pattern of plasma P4 was similar in both groups from 50 to 10 days before parturition, however, it did not decrease even at the expected date of labor in the SCNT recipients. The plasma cortisol was expressed a lower level during pregnancy in the SCNT recipients. But, the cortisol was increased in the cow aborted around 100 days of pregnancy (n=1). Based on these results, it can be postulated that the failure of the hormonal changes immediately before parturition in the SCNT recipients may be one of the most important reasons for a delayed parturition in clone calving.

• Journal of Korea Water Resources Association
• /
• v.54 no.12
• /
• pp.1317-1328
• /
• 2021

This study aims to provide a predictive model based on climate models for simulating continuous daily rainfall sequences by combining bias-correction and spatio-temporal downscaling approaches. For these purposes, this study proposes a combined modeling system by applying conditional Copula and Multisite Non-stationary Hidden Markov Model (MNHMM). The GloSea5 system releases the monthly rainfall prediction on the same day every week, however, there are noticeable differences in the updated prediction. It was confirmed that the monthly rainfall forecasts are effectively updated with the use of the Copula-based bias-correction approach. More specifically, the proposed bias-correction approach was validated for the period from 1991 to 2010 under the LOOCV scheme. Several rainfall statistics, such as rainfall amounts, consecutive rainfall frequency, consecutive zero rainfall frequency, and wet days, are well reproduced, which is expected to be highly effective as input data of the hydrological model. The difference in spatial coherence between the observed and simulated rainfall sequences over the entire weather stations was estimated in the range of -0.02~0.10, and the interdependence between rainfall stations in the watershed was effectively reproduced. Therefore, it is expected that the hydrological response of the watershed will be more realistically simulated when used as input data for the hydrological model.

• Journal of Animal Science and Technology
• /
• v.49 no.4
• /
• pp.443-450
• /
• 2007

This study was designed to investigate the seasonal variation in semen characteristics and the change of motility during semen frozen/thawed, and conception rates were observed following AI at the different times after estrus synchronization. Semen collected from March to May showed significantly lower semen quality than the other months (P<0.05) and semen characteristics (volume, total sperm and motility) were significantly higher in October. Sperm motility after thawing in frozen semen were significantly lower in non-breeding season than in breeding season (P<0.05). Conception rate after treatment of estrus synchronization and AI different time after CIDR device removal, at 60 hour was higher than those of any other times through AI but there was no significantly difference between AI times. Semen characteristics change gradually during the breeding and non-breeding season. These results were considered as a model for the use of assisted reproductive techniques for AI of deer in Korea.

• Journal of KIISE:Software and Applications
• /
• v.34 no.7
• /
• pp.635-645
• /
• 2007

Component technology has been widely accepted as an effective way for building software systems with reusable components, and Microsoft (MS) .NET is one of the recent representative component technologies. Model Driven Architecture (MDA) is a new development paradigm which generates software by transforming design models automatically and incrementally. Transformation of structural models in MDA has been successfully applied. However, transformation of dynamic models and pervasive services, such as transaction service, security service, synchronization service and object pooling are largely remains as an area for further research. The recent enterprise system has multi tier distributed architecture, and the functionality of early mentioned pervasive services is essential for this architecture. .NET platform can implement Component Object Model+ (COM+) component for supporting pervasive services by specify Attribute code. In this paper, we specify the functionalities of the COM+ component offering pervasive services, and then those functionalities are defined by UML profile. By using the profile, the Platform Specific Model (PSM) for .NET/C# is specified, and .NET components are automatically generated through our tool. The development productivity, extensibility, portability, and maintenance of software can be dramatically improved by using of the proposed methods.

• The Journal of Society for e-Business Studies
• /
• v.27 no.2
• /
• pp.37-64
• /
• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.