• Journal of Biosystems Engineering
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• 제27권5호
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• pp.451-458
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• 2002

This paper introduces that livestock can be effectively managed by an individual electronic identification system. The proposed system was composed of the original code transmitter, receiver, personal computer, micro-processor, and RS485 telecommunications module. In the individual electronic identification system, the signal including encoded information of a milk-cow was transmitted from an original code transmitter to a micro-processor through RS485 telecommunications module. The transmitted signal can be successfully displayed in a personal computer. This system can be managed by 9999 individuals with a original code transmitter. The recognition rate of an individual electronic identification system was 98.5% and also auto-feeder operates very well. an individual electronic identification system was developed for automation of stockbreeding management. To automate the breeding management, it is necessary to obtain and analyze the individual information distinguished from others preferentially.

• 한국임상수의학회지
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• 제13권2호
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• pp.171-176
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• 1996

In this study, dldctronic identification system of individual dairy cow was developed for autocatization of stoxkvreeding management. To automize the breeding management, it is necessary to obtain and analyze the individual information distinguished from others perferentially. Electronic identification system can distinguish individual livestock from others with electromagnetic wave signal recognition system. Electoronic identification system consists of transmitter transmitting the oscillated signal and receiver set. The transmitted signal from transmitter clung to individual livestock is received from the receiving antenna and the signal in different according to the established value of the register. By distinct signal recieved from the reciever, wi can distinguish the identity of a livestock from others clearly. This system can manage $2^{12}$ individuals with a reciever theoretically. However in order to reduce the errors by analogous signal, this system uses only triple number and can manage 1365 individuals with a reciever practically. This system can be connevtted to Max 232 and microcomputer for the breeding management efficiently.

• Journal of Biosystems Engineering
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• 제24권1호
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• pp.75-80
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• 1999

Signal separation and transmission are essential for automatic breeding management of domestic animals. Electronic identification system could transmit the signal of an individual within a defined range to a personal computer by an electromagnetic signal recognition method. Signals for individual recognition were originated by controlling 12 tri-state pins of IC(PT2262) in a transmitter. PT 2262 can generate 4,096 codes. These encoded signals were modulated and transmitted with wireless lines from the transmitter. Then they were demodulated in a receiver, and the signals were transmitted to the micro-processor through an interface and were identified in a PC.

• Journal of Biosystems Engineering
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• 제27권5호
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• pp.459-466
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• 2002

In Korea, a need of automatic dairy farm management system has been increased to lower production cost and to strengthen international competition. However, the present management system was mostly relied on foreign technologies and caused some problems in post management and after-sales services. Therefore, though there is a problem of price and quality at present, domestic technologies of the management system should be developed for the long run. This study was conducted to develop an electronic identification unit for an automatic dairy farm management system. The developed system was consisted of a tag, a reader, a switching circuit, and a personal computer. The tag attachable to each individual cow was developed to transmit individual radio frequency(RF) code into the air with modulation of ASK(amplitude shift keying). And the switching circuit was added to avoid confusion on reception and transmittance. The reader attached to a feeding device was developed to transmit activating signal periodically and to identify code of the individual tag when the tag was approached to the device. The reader was consisted of an active filter, a detecter, a comparator and a microcontroller. The test result was feasible enough to apply it for the automatic farm management system and the identified maximum distance was about 37cm.

• 한국축산시설환경학회지
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• 제2권1호
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• pp.1-11
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• 1996

본 연구는 사육, 급사, 급수, 번식, 건강 관리, 환기 및 열 관리, 자료 분석 등에 대한 기계화 및 자동화의 현황과 수준을 분석 평가하고, 이를 토대로 양돈 시설의 최적화 생산 시스템 모델 개발의 연구 방향을 설정하기 위하여 수행되었으며 앞으로의 연구 방향을 다음과 같이 설정하였다. 1) 종모돈, 종빈돈, 분만돈은 단사식으로 사육하고, 자돈, 육성돈, 비육돈은 군사식으로 사육하는 것과 돈방 배열은 복열식으로 하는 것을 기준으로 한국형 환경 제어용 스라트 무창돈사를 개발한다. 2) 한국형 환경 제어용 스라트 무창돈사에 적합한 환경 제어 시스템과 분뇨 처리 시스템을 개발한다. 3) 전자식 개체식별장치를 개발한다. 4) 전자식 개체식별장치와 컴퓨터를 이용한 자동 개체 습식 급사 시스템을 개발한다. 5) 번식돈을 위한 전자식 개체식별장치에 의한 개체 관리 시스템을 개발한다. 6) 건강 관리 및 자료 분석 등을 종합 관리할 수 있는 전문가 시스템을 개발한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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• pp.114-116
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• 2004

Biometrics consist of technologies that support automatic identification or verification of identity based on behavioral or physical traits. Biometrics can authenticate identities since they measure unique individual characteristics including fingerprints, hand geometry, iris, hand vascular patterns and facial characteristics. we review the state of the hand vascular patterns identification technology and compare other competitive authentication technologies such as cryptography, electronic signature and PKI.

• 한국축산시설환경학회지
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• 제8권2호
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• pp.63-72
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• 2002

In Korea, a need of automatic dairy farm management system has been increased to lower production cost and to strengthen international competition. However, the present management system was mostly relied on foreign technologies and caused some problems in post management and after-sales services. Therefore, though there is a problem of price and quality at present, domestic technologies of the management system should be developed for the long run. This study was conducted to develop an electronic identification unit for an automatic dairy farm management system. The developed system was consisted of a tag, a reader, a switching circuit, and a personal computer. The tag attachable to each individual cow was developed to transmit individual radio frequency(RF) code into the air with modulation of ASK(amplitude shift keying). And the switching circuit was added to avoid confusion on reception and transmittance. The reader attached to a feeding device was developed to transmit activating signal periodically and to identify code of the individual tag when the tag was approached to the device. The reader was consisted of an active filter, a detecter, a comparator and a microcontroller. The test result was feasible enough to apply it for the automatic farm management system and the identified maximum distance was about 37cm.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권1호
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• pp.53-58
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• 2002

In the construction of successful fuzzy models for nonlinear systems, the identification of an optimal fuzzy model system is an important and difficult problem. Traditionally, sGA(simple genetic algorithm) has been used to identify structures and parameters of fuzzy model because it has the ability to search the optimal solution somewhat globally. But SGA optimization process may be the reason of the premature local convergence when the appearance of the superior individual at the population evolution. Therefore, in this paper we propose a new method that can yield a successful fuzzy model using VmGA(virus messy genetic algorithms). The proposed method not only can be the countermeasure of premature convergence through the local information changed in population, but also has more effective and adaptive structure with respect to using changeable length string. In order to demonstrate the superiority and generality of the fuzzy modeling using VmGA, we finally applied the proposed fuzzy modeling methodof a complex nonlinear system.

• 한국컴퓨터산업학회논문지
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• 제3권3호
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• pp.307-320
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• 2002

전자상거래는 거래당사자의 신원확인의 어려움, 거래의 암호화, 원격조정, 변환장치의 사용 등으로 조세행정상의 문제를 야기 시킨다. 전자상거래 관련 조세문제 해결의 핵심적 과제는 인터넷을 통한 거래사실, 거래내용 및 당사자의 확인이라고 볼 수 있으며 나아가서 과세당국은 납세의무자의 포착, 과세표준 파악 및 불성실신고자 색출 둥을 위해 과세자료를 적기에 확보하여야 할 것이다. 과세당국은 지불결제기관의 협조를 바탕으로 결제과정에 개입하여 세금을 원천징수함으로서 전자상거래와 관련된 과세문제를 효율적으로 해결하는 방안을 다각적으로 모색하고 있다. 전자상거래 사업자의 거주지국이 보유하는 사업자의 신원 및 등록정보, 매출처별 거래내용에 관한 정보를 소비자의 거주지국 과세당국에 제공하여 국제간에 공동으로 과세방안을 모색하는 것이 과세의 실효성 확보에 유리할 것이므로 특히 부가가치세의 징수를 위한 국제적 협조 메카니즘을 개발하는 것이 전자상거래에 대한 과세에 있어서 큰 관건이다.

• Asian-Australasian Journal of Animal Sciences
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• 제18권6호
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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.