• Title/Summary/Keyword: data traceability

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A Decentralized and Non-reversible Traceability System for Storing Commodity Data

  • He, Xiaojian;Chen, Ximeng;Li, Kangzi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.619-634
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    • 2019
  • In the field of traceability systems, researchers focus on applications in the agricultural food traceability and scanning commodities. The purposes of this paper, however, is to propose an efficient and reliable traceability system that can be applied to all kinds of commodities. Currently, most traceability systems store data in a central server, which is unreliable when the system is under attack or if the administrator tampers with the data for personal interests. Therefore, it is necessary to design a system that can eliminate these threats. In this paper, we propose a decentralized and non-reversible traceability system for storing commodity data. This system depends on blockchain technology, which organizes data in the form of chains without a central server. This chain-style storage mechanism can prevent malicious modifications. In addition, some strategies are adopted to reduce the storage pressure and response time when the system has stored all kinds of commodity data.

A Production Traceability Information Gathering System based on Handwritten Data Digitalization Technology in Agro-livestock Products (수기정보 전자화 기술 기반의 농축산물 생산이력정보 수집 시스템)

  • Son, Bong-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.10
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    • pp.4632-4641
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    • 2011
  • The detailed production traceability information is a fundamental element in successful introduction and revitalization of traceability system. In this paper, we propose a production traceability information gathering system which is based on handwritten data digitalization technology in agro-livestock products. By the proposed system, we can effectively gather the detailed production traceability information with digital pen and the management ledger of paper document type by only writing the ledger. The server of the system generates the same digital image as the ledger and converts the handwritten data into digital text to insert the data into the database. Because the system is superior to data gathering system based on PC, PDA and touch screen in mobility, usability, data input speed, suitability in agro-livestock environment, it is possible to effectively gather traceability information of high quality by users even if they have low information ability and insufficient time to input data. We expect that the handwritten data digitalization technology is used to gather document based information in stage of manufacturing, distribution and marketing. In addition, this technology is applied to implementing advanced traceability system with RFID/USN based systems.

Analysis on Housewives' Usage, Perception and Willingness to Use Beef Traceability for Settlement of Beef Traceability (쇠고기 이력제 정착을 위한 주부들의 쇠고기 이력제의 이용실태, 인식도 및 이용의도 분석)

  • Kim, Hyochung;Kim, Meera
    • Korean journal of food and cookery science
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    • v.29 no.6
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    • pp.795-803
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    • 2013
  • This study examined the usage, perception and willingness to use beef traceability. The data were collected from 255 housewives in Busan and Gyeongnam region through a self-administered questionnaire. Frequency, Cronbach's ${\alpha}$, t test, one-way ANOVA, Duncan's multiple range test, Pearson's correlation analysis, and multiple regression analysis were conducted by SPSS Windows V.20.0. Only twelve percent of the respondents experienced to use beef traceability. Most respondents checked it by kiosk or bar code reader in a store. On the other hand, eighty-eight percent did not use beef traceability. The reasons for not usage of it were "Do not know beef traceability very well", "Do not know how to use beef traceability", and "Information from packing or counters is reliable" in order. In the level of perception of beef traceability, safety assurance was highest, followed by information quality, usefulness, and information accessibility. The percentage of correct answers of knowledge about beef traceability was not high. The multiple regression analysis showed that employment status, knowledge about beef traceability, information quality, information accessibility, and usefulness were significant factors to affect the willingness using beef traceability.

Evaluation and estimation of the number of pigs raised and slaughtered using the traceability of animal products

  • Sukho Han
    • Korean Journal of Agricultural Science
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    • v.49 no.1
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    • pp.61-75
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    • 2022
  • The first purpose of this study is to evaluate the usefulness of pork traceability data, which is monthly time-series data, and to draw implications with regard to its usefulness. The second purpose is to construct a dynamic ecological equation model (DEEM) that reflects the biological characteristics at each growth stage, such as pregnancy, birth and growth, and the slaughter of pigs, using traceability data. With the monthly pig model devised in this study, it is expected that the number of slaughtered animals (supply) that can be shipped in the future is predictable and that policy simulations are possible. However, this study was limited to traceability data and focused only on building a supply-side model. As a result of verifying the traceability data, it was found that approximately 6% of farms produce by mixing great grand parent (GGP), grand parent (GP), parent stock (PS), and artificial insemination (AI), meaning that it is necessary to separate them by business type. However, the analysis also showed that the coefficient values estimated by constructing an equation for each growth stage were consistent with the pig growth outcomes. Also, the model predictive power test was excellent. For this reason, it is judged that the model design and traceability data constructed with the cohort and the dynamic ecological equation model system considering biological growth and shipment times are excellent. Finally, the model constructed in this study is expected to be used as basic data to inform producers in their decision-making activities and to help with governmental policy directions with regard to supply and demand. Research on the demand side is left for future researchers.

Key Technology for Food-Safety Traceability Based on a Combined Two-Dimensional Code

  • Zhonghua Li;Xinghua Sun;Ting Yan;Dong Yang;Guiliang Feng
    • Journal of Information Processing Systems
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    • v.19 no.2
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    • pp.139-148
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    • 2023
  • Current food-traceability platforms suffer from problems such as inconsistent traceability standards, a lack of public credibility, and slow access to data. In this work, a combined code and identification method was designed that can achieve more secure product traceability using the dual anti-counterfeiting technology of a QR code and a hidden code. When the QR code is blurry, the hidden code can still be used to effectively identify food information. Based on this combined code, a food-safety traceability platform was developed. The platform follows unified encoding standards and provides standardized interfaces. Based on this innovation, the platform not only can serve individual food-traceability systems development, but also connect existing traceability systems. These will help to solve the problems such as non-standard traceability content, inconsistent processes, and incompatible system software. The experimental results show that the combined code has higher accuracy. The food-safety traceability platform based on the combined code improves the safety of the traceability process and the integrity of the traceability information. The innovation of this paper is invoking the combined code united the QR code's rapidity and the hidden code's reliability, developing a platform that uses a unified coding standard and provides a standardized interface to resolve the differences between multi-food-traceability systems. Among similar systems, it is the only one that has been connected to the national QR code identification platform. The project has made profits and has significant economic and social benefits.

Key Success Factors of the Internet Shopping Mall of Marine Products : Linkages Between Traceability Information and Perceived Quality (수산물 전문 쇼핑몰 핵심성공요인 : 생산이력추적정보와 지각된 품질의 연계)

  • Park, Sang-Cheol;Kim, Jong-Uk;Pak, Myong-Sop
    • Korean Management Science Review
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    • v.23 no.3
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    • pp.95-118
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    • 2006
  • This study developed the traceability information for tracing fishery products from the production step to the consumption step in the distribution channel of fishery products. Based on it, we further presented the theoretical linkage between traceability information and perceived qualities of internet shopping malls, and then investigated how traceability information affected trust and perceived usefulness in the internet shopping mall to find the key success factors of internet shopping malls of fishery products. We collected 194 responses from internet consumers who had prior experience on purchasing fishery products. This survey data was used to empirically test the ten research model hypotheses by using PLS. The PLS results indicated that traceability information had significant impact on trust and perceived usefulness. Finally, trust, perceived usefulness and perceived ease of use were found to be related to online consumers' intention to purchase fishery products.

Modeling Traceability Between Software Product Line Requirements and Architecture (소프트웨어 제품 라인의 요구사항과 아키텍처 간 추적성 모델링)

  • Eom, Seokhwan;Kang, Sungwon;Kim, Jingyu;Lee, Seonah
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.11
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    • pp.487-498
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    • 2015
  • Traceability enables software developers to trace up the changes occurring in software artifacts. In software product line, traceability is more complex than traceability in a single product as commonality and variability should be considered. Modeling traceability between features and requirements has been proposed in the past. However, traceability between requirements and architecture has more factors to consider, including many-to-many mappings and hierarchical structure of architectures. This paper proposes a method of systematically constructing platform traceability between platform requirements and platform architecture. This paper also shows the efficacy of the proposed mechanism through case studies.

Case Study and Direction Traceability System for Stock Farm Products (축산물 생산이력시스템 구현 및 산업내 적용방안에 관한 연구)

  • Kang, Bong-Jae;Koh, Wan-Ki;Koh, Seok-Yong;Kim, Hyu-Chan
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.3
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    • pp.235-241
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    • 2007
  • The objective of this study plans on adopting the traceability system in domestic livestock production and marketing channels. This study will examine pork traceability system and investigate the problem and factor in domestic livestock production and marketing channels, and also to examine the international standard in traceability system of goods production and distribution and foreign traceability system. In this study, the traceability system of livestock products is defined as an ability to follow and trace the information about livestock product in the stage of production, processing, manufacturing, distribution, and marketing. The system of traceability for Meat products are Developed and managed that reflected situation of raising, marketing, gathering and of information of model farmers. The formation of system consists of surfing screen of consumers, registration of farming data by farmers, information input screen of gathering of meat products and supply of traceability information of production and gathering. The system should continue the system adjustment after checking effects and problems of traceability by surveying result of consumer, farmers and distributors.

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Requirements Traceability in Systems Engineering for Large-scale Systems Development (대형 체계 개발사업의 체계공학 수행을 위한 요구사항 추적성 확립)

  • 박영원;송해상
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.2
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    • pp.149-155
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    • 2000
  • This paper presents results from a computer-aided systems engineering application to system development projects. RDD-100 version of ALC Inc. was used in this work. The framework adopted in the study takes a unified approach to the system design and the process management associated with it, thereby coherent and full traceability between them is maintained. Conventional system engineering process supported by the tool is adopted in the system design. On the other hand, the same tool is also used to the systems engineering management to get full traceability between system design data and engineering management data. It is greatly helpful in managing many sub-contractors in the sense that the traceability can help identify the sub-project responsibility as well as the objectives of the project in coordination with interface requirements. We conclude with the advantage and limits of our unified approach.

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A Study on Improvement of Food Traceability System (식품이력관리시스템 개선방안에 대한 연구)

  • Lee, Sung-Been;Yang, Sung-Bum
    • The Korean Journal of Food And Nutrition
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    • v.32 no.6
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    • pp.730-737
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    • 2019
  • The purpose of this study was to derive practical improvement measures for the food traceability system that could improve food reliability and secure food safety. To this, in our survey May-June, 2019, 567 adult males and females were analyzed for recognition and experience of the food traceability system, measures to improve the system, and intention to make additional payments to improve the system. In the case of a food safety accident, 2.54 of 5 points were given on if the food was recalled or not. Approximately 77.4 percent of the respondents had never seen indication of a food traceability system, and approximately 93.8 percent had no access to, or experience with, using the system. Most respondents said that the food traceability system should be applied to items that need to be applied. As the volume of data that is recorded and managed by the government is recognized as high, improvement is needed. Finally, it was analyzed that the company intends to pay an additional 1.34% on average to expand its food traceability system. A more sophisticated cost analysis is needed to apply the improvements proposed to complement the plans that are acceptable to consumers and the industry.