• 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.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.161-168
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• 2018

In this study, IT based traceability system which is able to measure weight and moisture content of grain in the post-harvest process of intake, drying, storage and milling was developed in RPC(Rice processing complex). Measured information of weight, moisture content, yield, loss and quality was saved in the DB sever. Simultaneously, lot No. was generated and connecting to quality and traceability information. Also, automatic control system with MMI(Man Machine Interface) and yield and inventory control system(YICS) for grain was developed for the traceability system by applying the TCP/IP communication. In addition, simulation of system was performed for evaluation in RPC.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.74-87
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• 2011

This study applies the Technology Acceptance Model to grasp the effect of the food traceability system on consumer confidence and usage intention. To verify the causal relationships between the factors, the consumers who use grocery stores in Seoul were selected. From February 20, 2011 to February 28, 2011, a total of 300 copies of the questionnaire were distributed, and 284 copies except for those unsuitable for analysis were collected. SPSS 12.0 and AMOS 5.0 factors analysis and a reliability test were conducted, in older to validate the proposed hypotheses. The results are summarized as follows. First, the food traceability system bad a significant effect on the technology acceptance model. Second, the food traceability system bad a significant affect on consumer confidence. Third, the food traceability system bad a significant effect on usage intention. Fourth, the technology acceptance model didn't have a significant effect on consumer confidence. Fifth, the technology acceptance model and consumer confidence bad significant effects on usage intention. Based on these results, this study suggests useful implications for the food traceability system.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.2
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• pp.33-38
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• 2006

It is well known that efficient management and thorough implementation of stakeholder requirements is vital for a successful development of a large-scale and complex system. Equally important is to make sure that all the requirements be correctly realized in the developed system. For the purpose, verification requirements are derived with traceability from the system requirements. This paper discusses a step by step process for constructing the requirements verification model which includes : 1) the schema modeling both requirements and their traceability; 2) the template documenting the verification requirements; 3) the verification model constructed from the schema; and 4) the test and evaluation plan that can be printed automatically.

• Journal of the Korean Society of Fashion and Beauty
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• v.6 no.1
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• pp.16-20
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• 2008

Ubiquitous computing which is called, the innovation of the 21st Century is a core technology of next generation. RFID technology is noticed, and physical distribution, home network, telematics, like industry automatization are developed by using various technique. Particulary, They use RFID technology for fashion and beauty industry, So, supplying network management, physical distribution management and warehouse management are investigated for the automatization. What we have investigated so far, a traceability system is made of ubiquitous sensor network for monitoring fashion and beauty industry environment. The proposed system using EPC network can provide information of industrial products traceability quickly and efficiently. Moreover, this system with RFID Technology gives intelligence of distribution and record. In this paper, We recommend the vision of Ubiquitous convergence of fashion and beauty industry.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1821-1828
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• 2010

In this study we suggest a method of optimization of verification hierarchy structure and system requirements management by using a verification matrix with traceability consideration. Verification items were gathered in the process of CDR(Critical Design Review), and analyzed with respect to requirements traceability structure. Missed or overlapped items were adjusted, and cross-correlated items between sub-systems were clustered and rearranged in order to structurize verification requrements (VRs). Those VRs are to be used as a guideline for the test and evaluation planning, development of test items and procedure, and system requirements management throughout the system integration stages.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.5
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• pp.389-396
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• 2020

In this paper, a cultivation traceability system to implement smart agriculture developed and implemented, and in particular, devised a system that manages the cultivation traceability of grains that are difficult to grow in smart farms. Mobile and web programs based on smart devices are designed, and the collected information is stored in a DB server and can be used as big data. In addition, real-time location information and agricultural activity information can be matched using an electronic map(Vworld) based on GIS/LBS applying GPS of a mobile device. By designing the cultivation traceability information DB required in the field, the farmhouse, farmers, and cultivation information were developed to make it easy for managers to use, and implemented mobile and web programs in the field. The system is expected to raise the quality and safety management capabilities to the next level in response to variables such as labor saving effect and climate change.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.95-101
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• 2014

With the evocative interests in food safety, food traceability has been spotlighted by researchers as well as consumers. However, food traceability systems are not yet in reality even though there are continuous needs from market. Also, studies about food traceability focus on technical aspects without considering the spectrum of the adoption. In this study, we chose ginseng whose traceability systems are not easily adopted. Innovation-resistance model is employed to find out factors affecting either adoption, resistance or both. As results, we find out the followings. First, relative benefits and reasonableness of cost do not affect adoption and resistance of innovation. Second, there is difference between continuously resisting group and adoption-postponing group.

• Journal of KIISE
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• v.42 no.3
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• pp.328-340
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• 2015

Software requirements are continuously changed for various reasons, consequently changes of software are inevitable. In the case of changes necessitated by changes in requirements, it is necessary to precisely predict the ripple effects of the changes for efficient management of the changes. This paper proposes the management method of traceability information, which can be applied in object-oriented development. Furthermore, we introduce the guidelines for prediction of the ripple effects of changes based on traceability information among artifacts composing a system. We identify traceability items for the essential artifacts which were composed of the object-oriented system, and define relationships among them. The purpose of the method proposed in this paper is to identify the scope of change precisely through the guidelines. These can then be used for tracing and analyzing the impact of the changes both the forward and backward looking, based on the relationships of traceability items.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.916-937
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• 2023

Most of the existing Distributed Denial-of-Service mitigation schemes in Software-Defined Networking are only implemented in the network domain managed by a single controller. In fact, the zombies for attackers to launch large-scale DDoS attacks are actually not in the same network domain. Therefore, abnormal traffic of DDoS attack will affect multiple paths and network domains. A single defense method is difficult to deal with large-scale DDoS attacks. The cooperative defense of multiple domains becomes an important means to effectively solve cross-domain DDoS attacks. We propose an efficient multi-domain DDoS cooperative defense mechanism by integrating blockchain and SDN architecture. It includes attack traceability, inter-domain information sharing and attack mitigation. In order to reduce the length of the marking path and shorten the traceability time, we propose an AS-level packet traceability method called ASPM. We propose an information sharing method across multiple domains based on blockchain and smart contract. It effectively solves the impact of DDoS illegal traffic on multiple domains. According to the traceability results, we designed a DDoS attack mitigation method by replacing the ACL list with the IP address black/gray list. The experimental results show that our ASPM traceability method requires less data packets, high traceability precision and low overhead. And blockchain-based inter-domain sharing scheme has low cost, high scalability and high security. Attack mitigation measures can prevent illegal data flow in a timely and efficient manner.