• Asian-Australasian Journal of Animal Sciences
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• v.30 no.11
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• pp.1540-1549
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• 2017

Objective: Increasing food safety demands in the animal product market have created a need for a system to trace the food distribution process, from the manufacturer to the retailer, and genetic traceability is an effective method to trace the origin of animal products. In this study, we successfully achieved the farm tracing of 6,018 multi-breed pigs, using single nucleotide polymorphism (SNP) markers strictly selected through least absolute shrinkage and selection operator (LASSO) feature selection. Methods: We performed farm tracing of domesticated pig (Sus scrofa) from SNP markers and selected the most relevant features for accurate prediction. Considering multi-breed composition of our data, we performed feature selection using LASSO penalization on 4,002 SNPs that are shared between breeds, which also includes 179 SNPs with small between-breed difference. The 100 highest-scored features were extracted from iterative simulations and then evaluated using machine-leaning based classifiers. Results: We selected 1,341 SNPs from over 45,000 SNPs through iterative LASSO feature selection, to minimize between-breed differences. We subsequently selected 100 highest-scored SNPs from iterative scoring, and observed high statistical measures in classification of breeding farms by cross-validation only using these SNPs. Conclusion: The study represents a successful application of LASSO feature selection on multi-breed pig SNP data to trace the farm information, which provides a valuable method and possibility for further researches on genetic traceability.

• Reproductive and Developmental Biology
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• v.37 no.4
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• pp.205-211
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• 2013

The swine is one of the most widespread mammalian throughout the whole world. Presently, many studies concerning microsatellites in swine, especially domestic pigs, have been carried out in order to investigate general diversity patterns among either populations or breeds. Until now, a lot of time and effort spend into a single PCR method. But simple and more rapid multiplex PCR methods have been developed. The purpose of this study is to develop a robust set of microsatellites markers (MS marker) for traceability and individual identification. Using multiplex-PCR method with 23 MS marker divided 2 set, various alleles occurring to 5 swine breed (Berkshire, Landrace, Yorkshire, Duroc and Korea native pig) used markers to determine allele frequency and heterozygosity. MS marker found 4 alleles at SW403, S0227, SWR414, SW1041 and SW1377. The most were found 10 alleles at SW1920. Heterozygosity represented the lowest value of 0.102 at SWR414 and highest value of 0.861 at SW1920. So, it was recognized appropriate allele frequency for individual identification in swine. Using multiplex-PCR method, MS markers used to determine individual identification biomarker and breed-specific marker for faster, more accurate and lower analysis cost. Based on this result, a scientific basis was established to the existing pedigree data by applying genetics additionally. Swine traceability is expected to be very useful system and be conducted nationwide in future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1042-1045
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• 2009

The Food is very important in our life, And the agricultural products are one of the most important food materials. For buying it, it's hard for the consumer to trust the agricultural products. That this reason, why they can't easily get the product information about agricultural productions. If you can get it, It is only mark of information about The country of production, They can not get reliable informations such as Producers, productions, residual pesticides, and soil conditions, etc. Accordingly, When consumers buy these agricultural productions, They want to provide reliable information. In this paper, using an RFID(Radio-Frequency IDentification) reader who reads RFID TAG attached to products. Then, Acquired Certification Number sent to a web server. To get the Production informations and Safety Inspection Information. The way that consumers can trust the Agricultural Products. These Traceability systems were implemented.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.207-222
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• 2008

This research suggests the method of how to build agricultural and stockbreeding products recommender systems based on RFID technology for monitoring crop and livestock production, tracing production history as an application strategy. In the past the studies on enterprise applications have been barely implemented owing to the rack of business model and limitation of technical development. Currently however there have been enormous technological progress of RFID and agricultural and stockbreeding products retailing sites are increased. Therefore this paper suggests PDCF-ASP(Profile Decay based Collaborative Fltering for Agricultural and Stockbreeding Products) which is designed to reduce customers… search efforts in finding safety and fresh products on the internet shopping mall. For this, product decay function is defined to make sure whether the products are safety or not and to adopt a change in customer preferences. And for the implementation of PDCF-ASP, the system structure including functional agents is schematized.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1492-1493
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• 2007

This paper represents the development of national standard(NS) for switching impulse(SI) voltage measuring system rated 500 kV. A traceability of the NS to the international standard could be achieved by the intercomparison test with PTB(Physikalisch-Technische Bundesansalt). According to the IEC 60060-2, a measurement uncertainty was assessed. As a result of the tests, the measurement uncertainty and the characteristics of step response were satisfied with the requisite for NS.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.270-290
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• 2010

This study investigates the safety of Hanwoo beef and consumer satisfaction through the questionnaire for 280 consumers of Hanwoo beef in Gyeongsangbuk-do. Among 280 copies, only 245 copies were adopted to analyze. The subjects consisted of 82(33.2%) males and 163(66.5%) females and their age 55(22.4%) of twenties, 52(21.2) of thirties, 86(35.1%) of forties and 52(21.2%) of over fifties. The frequency of purchasing Hanwoo beef was that as consumers were getting older, they tended to purchase more beef. The most popular place for purchasing Hanwoo beef was Hanwoo specialty stores(55.1%), but there was no statistical difference. The most favorite retail cuts for Hanwoo beef was Loin(44.5%), followed by ribs(26.1%). The consumers thought that selling imported beef turned into Hanwoo beef occurred 70.2%(sometimes), and 20.8%(yes), 6.1%(don't know) and 2.9%(never). For a method to prevent it, the traceability system(60.4%) was the highest, followed by country of origin labelling(16.3%). Taking the perfect score 5 points about the country of origin marks and traceability, trustworthiness which was presented the highest points was 3.31, recognition 3.29, experience 3.26 and practical effect 3.07. The average of two systems was 3.23. The average points of the safety and consumer trustworthiness of Hanwoo beef were 2.96 points and 3.13 respectively. The safety and the consumer trustworthiness showed statistically significant difference according to educational background, income, and jobs. From the results obtained in the current study, it is concluded that if the traceability system and country of origin labelling are managed well by the government, safety and consumer trustworthiness will be improved.

• Journal of Korea Trade
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• v.24 no.5
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• pp.87-105
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• 2020

Purpose - The purpose of the study is to propose a theoretical framework of cross-border e-commerce ecosystems based on blockchain technology. The ecosystem includes five systems, namely, crossborder supply chain intelligent system, cross-border logistics system, cross-border payment system, cross-border product quality traceability system and cross-border customs supervision system. Design/methodology - This study firstly derived the main improvement factors for the new ecosystem based on blockchain through prior research and expert interviews on cross-border e-commerce. Then explored the use of virtue of decentralization, anti-counterfeiting traceability, consensus mechanism, smart contract and other means of the core technology of blockchain to overcome the bottleneck of cross-border e-commerce development among Korea, China, and Japan. Finally, proposed valuable implications in both theoretical and practical perspectives. Findings - As a result, we combined with the problems existing in cross-border e-commerce among Korea, China and Japan, this paper proposes a solution based on blockchain. On this basis, it constructs a cross-border e-commerce ecosystem among these three countries, including five systems. In addition, we discuss the main problems existing in the current blockchain, such as low transaction concurrency, security loopholes, and inconsistent standards, the corresponding countermeasures are proposed from the technical level, security level and industry standards. Originality/value - This study is the first to apply the blockchain technology to solve the cross-border e-commerce problems in Korea, China and Japan, which is of pioneering significance in both literature and practice. Block chain technology is in the ascendency. This study provides technical solutions for promoting the development of cross-border e-commerce import and export trade between Korea, China and Japan.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.319-324
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• 2015

This paper proposes an integrated management system for products of game software development. Those products generated over software life-cycle are generally huge in numbers, various in kinds and interconnected in relationships among them. Especially they are highly complex and tightly coupled each other because they are used to build another world which is composed of multi-modal data such as graphics, sound, logics and so on. Therefore it is critical to manage development products in an integrated manner to guarantee the quality of software. The proposed system is designed to provide project/requirement/configuration/traceability management capabilities and interfacing to CASE standards. To achieve the objective, it is based on data warehouse technologies which provide central repositories of heterogeneous data, multi-aspect reporting&analysis capabilities, traceability, verification, etc.

• The Korean Journal of Community Living Science
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• v.17 no.3
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• pp.55-65
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• 2006

Recent trends of global food production, processing, distribution and preparation under free trade circumstance are creating an increase in common' concerns about food safety. It is important that farmers improve agricultural products/food safety for satisfying consumer needs and health. Cognizant to the situation, this study was conducted to analyze how the Producers gather information, and determine their awareness about agricultural Products safety using a safety Questionnaire. The Questionnaire was given to 500 farmers who cultivate rice, fruit trees, vegetables, and other crops from September through October 2005. More than half of the producers felt concerns about the agricultural products/foods safety. Uneasiness of the producers was higher amongst those who were younger and earned a higher income. Pesticides and zoonosis (BSE AI, etc.) emerged as the main risk factors causing concerns among the greatest number of producers. Producers had a positive opinion of the effects and perception of food safety, but no opinion of the activity of government. The producers showed a high level of understanding of the Country of Origin Labeling System (88.2%), the quality certification system of agricultural and livestock products (71.9%), and the raising system of environment-friendly agriculture (72.7%). However, their level of understanding of the GAP (59.3%) and the Traceability System (22.8%) was still low. To effectively implement these policies, awareness of producers who are the beneficiaries of the above policies has to be enhanced. Therefore, the safety information should be provided at a more appropriate time and should be easier to understand.

• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.13-23
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• 2000

As software becomes more complicated and large-scaled, user's demands become more varied and his expectation levels about software products are raised. Therefore it is very important that a software engineer analyzes user's requirements precisely and applies it effectively in the development step. This paper presents a requirements analysis system that reduces and revises errors of requirements specifications analysis effectively. As this system measures the similarity among requirements documents and sentences, it assists users in analyzing the dependency among requirements specifications and finding the traceability, redundancy, inconsistency and incompleteness among requirements sentences. It also extracts sentences that contain ambiguous words. Indexing method for the similarity measurement combines sliding window model and dependency structure model. This method can complement each model's weeknesses. This paper verifies the efficiency of similarity measure techniques through experiments and presents a proccess of the requirements specifications analysis using the embodied system.