• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.970-976
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• 2011

According to CNS/ATM, a new concept of navigation system, ADS-B systems are being built in the field of surveillance. FIS-B is one of the key elements of ADS-B, and also provides various flight informations, weather informations to the aircraft. In this paper, we reviewed the FIS-B standard and analyzed performance requirements. And then we designed and implemented FIS-B. In this simulation, we showed performance of FIS-B. And this research is very useful to the future work.

• Molecules and Cells
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• v.19 no.2
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• pp.239-245
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• 2005

Factor for inversion stimulation (FIS), the Escherichia coli protein, is a positive regulator of the transcription of genes that encode stable RNA species, such as rRNA and tRNA. Transcription of the rnpB gene encoding M1 RNA, the catalytic subunit of E. coli RNase P, rapidly declines under stringent conditions, as does that of other stable RNAs. There are multiple putative FIS binding sites upstream of the rnpB promoter. We tested whether FIS binds to these sites, and if so, how it affects rnpB transcription. In vitro binding assays revealed specific binding of FIS to multiple sites in the rnpB promoter region. Interestingly, FIS bound not only to the upstream region of the promoter, but also to the region from +4 to +18. FIS activated rnpB transcription in vitro, but the level of activation was much lower than that of the rrnB promoter for rRNA. We also examined the effects of FIS on rnpB transcription in vivo using isogenic $fis^+$ and $fis^-$ strains. rnpB transcription was higher in the $fis^-$ than the $fis^+$ cells during the transitions from lag to exponential phase, and from exponential to stationary phase.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.23.3-23
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• 2001

The main object of this work is the development of an intelligent multi-sensor integration and fusion model that uses fuzzy inference system. Sensor data from different types of sensors are integrated and fused together based on the confidence which is not typically used in traditional data fusion methods. The information is fed as input to a fuzzy inference system(FIS). The output of the FIS is weights that are assigned to the different sensor data reflecting the confidence En the sensor´s behavior and performance. We interpret a type of fuzzy inference system as an interpolator of B-spline hypersurfaces. B-spline basis functions of different orders are regarded as a class of membership functions. This paper presents a model that ...

• Journal of Advanced Navigation Technology
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• v.18 no.4
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• pp.325-333
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• 2014

An ADS-B system, which is a critical technology in surveillance area of the CNS/ATM, can replace or compensate a conventional radar based surveillance system through the communications among aircrafts. An ADS-B ground system which is to use the ADS-B on the ground air traffic management system consists of various subsystem devices such as ground stations that communicate with the aircrafts, and ADS-B/TIS-B/FIS-B servers. The ADS-B ground system has a form of distributed system and is interconnected through the network. Therefore, a system which can monitor and control the status of the multiple subsystem devices of the ADS-B ground system is essential. In this paper, we designed and implemented a remote status monitor and control system for the ADS-B system that can monitor and control the subsystem devices of the ADS-B system in remote place via SNMP protocol.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.615-621
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• 2014

Power transformer is one of the most important equipments in electrical power system. The detection of certain gases generated in transformer is the first indication of a malfunction that may lead to failure if not detected. Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results falls outside conventional method codes or when more than one fault exist in transformer. To overcome these limitations, fuzzy inference system (FIS) is proposed. 250 different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.

• Current Industrial and Technological Trends in Aerospace
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• v.4 no.2
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• pp.13-24
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• 2006

국제민간항공기구(ICAO)의 차세대 항행시스템(new CNS/ATM) 전환계획에 따라 전 세계적으로 항공통신, 항법, 감시 및 항공교통관리 분야의 항행안전시설과 대응되는 항공기 탑재시스템의 변화가 진행되고 있다. 특히 항공통신과 감시 분야에서는 공대지 데이터링크 기술을 활용한 새로운 항공교통서비스(CPDLC, ADS, ADS-B, FIS-B, TIS-B)가 도입되어 공역 처리능력을 제고하고 항공운항 안전에 기여하며 조종사와 관제사의 편의성을 대폭 향상시킬 것으로 기대되고 있다. 현재 민간항공에서 활발히 이용되고 있는 대표적인 데이터링크 기술인 ACARS 시스템은 국제민간항공기구가 표준화하여 제정한 VDL 기술로 대체되고 있으며 HFDL, Mode S, AMSS, UAT 등이 현재 가용한 데이터링크 기술로 개발되어 활용되고 있다. 미국과 유럽을 중심으로 관련 기술에 대한 검증과 시범 운용 사업이 활발하게 진행되고 있으며 2020년 이후를 대비한 미래 항공통신 신기술 연구에도 세계가 매진하고 있다. 본 논문에서는 현재까지 개발된 공대지 데이터링크 기술의 특성을 개관하고 관련 응용기술 구현 현황과 데이터링크 관련 세계의 미래 통신기술 연구 동향을 제시하고자 한다.

• Journal of Embryo Transfer
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• v.19 no.3
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• pp.283-289
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• 2004

This study was conducted to determine the effects of incubation time after cooling on mouse meiotic spindle and chromosome alignment and the optimal incubation time for their restoration. Oocytes at the metaphase II were obtained from superovulated mice. Control oocytes were held at 37$^{\circ}C$ during the experiment. Oocytes were rapidly cooled to $0^{\circ}C$, held for 30 minutes, warmed and incubated at 37$^{\circ}C$ for 5, 15, 30, 60 and 120 minutes, respectively. The morphological features of spindle and chromosomes in oocytes were evaluated by immunofluorescent staining. Meiotic spindle of control oocytes exhibited a normal-looking bipolar configuration(barrel-shaped) and highly fluorescent microtubles. The chromosomes were clustered in a discrete bundles at metaphase plate. Disassembly of meiotic spindle and chromosome dispersion were occurred immediately after chilling of oocyte. Fluorescence intensity index(FIS), normal chromosomes aligned and normal spindle configuration were compared according to incubation time at 37$^{\circ}C$. Restoration of a barrel-shaped spindle and normal chromosome alignment was occurring after 5 minutes incubation at 37$^{\circ}C$, improved as a incubation time increased, and decreased gradually after 120 minutes incubation(P<0.05). The optimal incubation time for restoration of meiotic spindle and chromosomes in cooled oocytes was 60 minutes.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1274-1276
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• 1993

We have designed a multiple-valued fuzzy Approximate Analogical-Reseaning system (AARS). The system uses a similarity measure of fuzzy sets and a threshold of similarity ST to determine whether a rule should be fired, with a Modification Function inferred from the Similarity Measure to deduce a consequent. Multiple-valued basic fuzzy blocks are used to construct the system. A description of the system is presented to illustrate the operation of the schema. The results of simulations show that the system can perform about 3.5 x 106 inferences per second. Finally, we compare the system with Yamakawa's chip which is based on the Compositional Rule of Inference (CRI) with Mamdani's implication.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.217-231
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• 2015

A novel fuzzy learning framework that employs fuzzy inference to solve the problem of Multiple Instance Learning (MIL) is presented. The framework introduces a new class of fuzzy inference systems called Multiple Instance Mamdani Fuzzy Inference Systems (MI-Mamdani). In multiple instance problems, the training data is ambiguously labeled. Instances are grouped into bags, labels of bags are known but not those of individual instances. MIL deals with learning a classifier at the bag level. Over the years, many solutions to this problem have been proposed. However, no MIL formulation employing fuzzy inference exists in the literature. Fuzzy logic is powerful at modeling knowledge uncertainty and measurements imprecision. It is one of the best frameworks to model vagueness. However, in addition to uncertainty and imprecision, there is a third vagueness concept that fuzzy logic does not address quiet well, yet. This vagueness concept is due to the ambiguity that arises when the data have multiple forms of expression, this is the case for multiple instance problems. In this paper, we introduce multiple instance fuzzy logic that enables fuzzy reasoning with bags of instances. Accordingly, a MI-Mamdani that extends the standard Mamdani inference system to compute with multiple instances is introduced. The proposed framework is tested and validated using a synthetic dataset suitable for MIL problems. Additionally, we apply the proposed multiple instance inference to fuse the output of multiple discrimination algorithms for the purpose of landmine detection using Ground Penetrating Radar.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.12
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• pp.1552-1556
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• 2010

The aim of this study was to evaluate, through the use of microsatellite markers, the current genetic diversity and the relationships of 375 individuals from 8 local sheep breeds reared in typical breeding farms in the northwest of China, and moreover, to offer a contribution towards genetic conservation decisions for the studied breeds. The expected heterozygosities and allelic richness for the 8 breeds varied from 0.474 to 0.623 and from 3.8 to 5.4, respectively. All the populations showed a significant deficit in heterozygosity and a relatively low level of genetic diversity. Furthermore, the high positive FIS value (ranging from 0.255 to 0.556) indicated inbreeding to be one of the main causes for high genetic homogeneity and lack of heterozygosity in all breeds. The clustering analysis performed with the DISPAN package showed that Aletai, Kazak, Bashibai and Bayinbuluke were grouped together, and Hetian, Qira black and Duolang were grouped together, which indicated that the relationship among breeds displayed some degree of consistency with their geographical distribution, production and origin. These findings indicate that improved conservation measures must be undertaken to avoid further losses of genetic diversity and minimize inbreeding represented by these breeds.