• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.1
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• pp.116-123
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• 2008

Food and Agriculture Organization (FAO) and many countries make an effort to conserve and utilization of animal genetic resources to prepare for our unpredictable future. In order to protect the customer and the producer from the animal diseases and unjust distribution, many country seek to appropriate solution. Among the solutions, RFID technology can be used as a basic technology, since this technology can be applied in the conservancy and utilization of animal genetic resources, object management for improved animal and traceability of animal's distribution flow. There are two main issues in making the efficient RFID environment. The first issue is the standardization of code system for object identification. International Organization for Standard (ISO) published the standard which regulates RFID of animal (ISO 11784 and ISO 11785). Based on these standards, many countries have tried to establish their national standard. In Korea, National Institute of Animal Science (NIAS) playa main role in establishing the standard of object identification code based on ISO 11784. Even though the standard format of object's identification is well established, the RFID system may not be operated well without the standardization of RFID network and related equipment. In Korea, National Internet Development Agency of Korea (NIDA) has proposed the RFID Network at 2006, which can be applied in the different kind of system at each phase. But, the implementation case of this RFID Network does not reported yet, since many company or agency who introduce RFID technology, implemented as an isolated individual system. In our study, we show that RFID network can be utilized for any kind of system at each phase, and propose the improvement point in order to be widely used.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1680-1685
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• 2011

This paper introduces UHF RFID tag antenna which can be inserted between the skin and muscle of animal. Animal Information Management System (AIMS) using the developed tag has been developed. Since the general and commercial tags are not working in the body of any animal, the new tag for flash body has been developed with the consideration of dielectric constant of the muscle and fat of animal. The tag shape is flat and sharp end to make it easy to insert the tag just under the skin. The performance of the installed tag under the skin and in the muscle has been verified. The AIMS can manage the animal, history of illness, information of owner and address. This program can be applied to the management of military and police dogs.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.79-84
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• 2009

Recently, many researches are being carried out on monitoring animal behaviour and interactions with the environment using sensor networks and for tracing animal chain management and identifying animals using RFID techniques. And we are studying about the management and burglarproof of a pet using GPS technique. But there is a lack of study for providing users intelligence services in zoo using GPS, RFID, and sensor networks. Accordingly, in this paper, we propose a intelligence tracking service of animal situation based on GPS, RFID, and sensor in zoo. Firstly, we present a tracking service scenario of animal situation and system configuration according to this scenario. The proposed service provides users realtime animal situation information of animal like the present location, temperature, image, etc. In addition, we can chase the animals to know a location and situation of animal when the animals escapes from their cages. Next, we implement and test prototype operations of animal tracking system based on this scenario to verify the proposed service.

• Journal of Biosystems Engineering
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• v.37 no.6
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• pp.373-384
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• 2012

Purpose: In EU, the animal welfare regulations are strengthening. Also, in Korea, for strengthening of animal protection laws, animal welfare farm certification scheme is being prepared to enforce. To get the certification of animal welfare farm, especially for sows, individual specific feeding in sow group is necessary in accordance with the animal welfare regulation. Also, liquid feeding is reported to be more effective for farrowing as well as dry sow. Therefore, in this study, a electronic liquid sow feeder using RFID which could be fed to farrowing sow simultaneously is developed. Methods : We manufactured a prototype of appropriate elements which were evaluated in the preliminary test for selecting RFID tag, supply pump, mixing type, etc. With the prototype, the performance test for liquid feeding gilt was done in group raising training barn. Results : The performance test result shows the C.V.(coefficient of variation) of liquid mixing and feeding is 0.77~1.97% and 2.4~5.3%, respectively, which means the system could feed sows uniformly. The feeding time of pneumatically activated ball valve is 2 seconds per 0.9 kg of liquid feed. The eating time for gilt were 65 seconds in average. Conclusions : The prototype could feed sow uniformly, and deliver the liquid feed 9 times for a sow continuously. Also, total eating time for a sow was 18 minutes in one visit to the prototype of feeding station.

• Food Science of Animal Resources
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• v.33 no.4
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• pp.463-473
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• 2013

Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.60-67
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• 2008

At present, RFID system is highly welcomed as a substitute system with its bar code recognition system and self recognition equipment. Consequently, the system has multi applications and can be complementing to its security. In particular, RFID system is significantly related with electronic transaction equipments : transportation card, ID card in check point, attendance sheet. Based upon these characteristic, the system is becoming extremely popular in the field of logistics, harbor and stock management, animal control and product circulation & distribution. In this dissertation, I would like to present a more efficient and stable remote entry control system with the network-based TCP/IP. It is a simple example of ubiquitous computing function. Above all, approved protocol system should be applied to the remote entry control function. Its efficient function with the applied approval protocol based-remote entry control system should be confirmed. Therefore, a preliminary test should be prerequisite in automatic entrance function with the embedded and TCP/IP-based RFID system.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.189-198
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• 2008

At present, companies write daily work record or use bar-code in order to collect distribution flow data in real time. However, it needs additional works to check the record or read the bar-code with a scanner. In this case, human error could decrease accuracy of data and it would cause problems in reliability. To solve this problem, RFID (Radio Frequency Identification) is introduced in many automatic recognition sector recently. RFID is a technology that identification data is inserted into micro-mini IC chip and recognize, trace, and manage object, animal, or person using wireless frequency. This is being emerged as the core technology in future ubiquitous environment. This study is intended to suggest RFID application method in franchise business. Traceability and visibility of individual product are supplied based on EPCglobal network. It includes DW system which supplies various assessment data about product in supply chain, financial transaction system which is based on product transaction and position information, and RFID middleware which refines and divides product data from RFID tag. With the suggested application methods, individual product's profile data are supplied in real time and it would boost reliability to customer and make effective cooperation with existing operation systems (SCM, CRM, and e-Business) possible.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.6
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• pp.868-872
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• 2005

Individual management of the animal is the first step towards reaching the goal of precision livestock farming that aids animal welfare. Accurate recognition of each individual animal is important for precise management. Electronic identification of cattle, usually referred to as RFID (Radio Frequency Identification), has many advantages for farm management. In practice, however, RFID implementations can cause several problems. Reading speed and distance must be optimized for specific applications. Image processing is more effective than RFID for the development of precision farming system in livestock. Therefore, the aim of this paper is to attempt the identification of cattle by using image processing. The majority of the research on the identification of cattle by using image processing has been for the black-and-white patterns of the Holstein. But, native Japanese and Korean cattle do not have a consistent pattern on the body, so that identification by pattern is impossible. This research aims to identify to Japanese black cattle, which does not have a black-white pattern on the body, by using image processing and a neural network algorithm. 12 Japanese black cattle were tested. Values of input parameter were calculated by using the face image values of 12 cows. The face was identified by the associate neural memory algorithm, and the algorithm was verified by the transformed face image, for example, of brightness, distortion, noise and angle. As a result, there was difference due to a transformation ratio of the brightness, distortion, noise, and angle. The algorithm could identify 100% in the range from -30 to +30 degrees of brightness, -20 to +40 degrees of distortion, 0 to 60% of noise and -20 to +30 degree of angle transformed images.

• Journal of Biosystems Engineering
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• v.29 no.4
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• pp.341-346
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• 2004

Recent livestock people concern not only increase of production, but also superior quality of animal-breeding environment. So far, the optimization of the breeding and air environment has been focused on the production increase. In the very near future, the optimization will be emphasized on the environment for the animal welfare and health. Especially, cattle farming demands the precision livestock farming and special attention has to be given to the management of feeding, animal health and fertility. The management of individual animal is the first step for precision livestock farming and animal welfare, and recognizing each individual is important for that. Though electronic identification of a cattle such as RFID(Radio Frequency Identification) has many advantages, RFID implementations practically involve several problems such as the reading speed and distance. In that sense, computer vision might be more effective than RFID for the identification of an individual animal. The researches on the identification of cattle via image processing were mostly performed with the cows having black-white patterns of the Holstein. But, the native Korean and Japanese cattle do not have any definite pattern on the body. The purpose of this research is to identify the Japanese black cattle that does not have a body pattern using computer vision technology and neural network algorithm. Twelve heads of Japanese black cattle have been tested to verify the proposed scheme. The values of input parameters were specified and then computed using the face images of cattle. The images of cattle faces were trained using associate neural network algorithm, and the algorithm was verified by the face images that were transformed using brightness, distortion, and noise factors. As a result, there was difference due to transform ratio of the brightness, distortion, and noise. And, the proposed algorithm could identify 100% in the range from -3 to +3 degrees of the brightness, from -2 to +4 degrees of the distortion, and from 0% to 60% of the noise transformed images. It is concluded that our system can not be applied in real time recognition of the moving cows, but can be used for the cattle being at a standstill.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.6
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• pp.786-794
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• 2020

For systematic pet management, the pet registration system has established. It makes the owner of the pet is given greater responsibility through the pet registration system but it also provided with welfare. One of the advantages of the pet registration system is that prepare system what return to owner quickly and safety through information inquiry when the pets are lost. But there are some conflict with the law in the information inquiry, so it occurs interfere the system. In this paper, we propose using the Smart Contract to finding the missing animal effectively. Proposed method discloses only the partially information. Thus it will be eliminated conflict parts, and increases the information accessibility to increase the number of people who can inquiry information. In addition, keeping the RFID inquired feature for compatible with the existing system. The smart contract querying enables quickly and precision access to information. Lastly, compare the proposed method with existing method to see the improvement.