• Title/Summary/Keyword: Automatic Identification System

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GMM-Based Maghreb Dialect Identification System

  • Nour-Eddine, Lachachi;Abdelkader, Adla
    • Journal of Information Processing Systems
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    • v.11 no.1
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    • pp.22-38
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    • 2015
  • While Modern Standard Arabic is the formal spoken and written language of the Arab world; dialects are the major communication mode for everyday life. Therefore, identifying a speaker's dialect is critical in the Arabic-speaking world for speech processing tasks, such as automatic speech recognition or identification. In this paper, we examine two approaches that reduce the Universal Background Model (UBM) in the automatic dialect identification system across the five following Arabic Maghreb dialects: Moroccan, Tunisian, and 3 dialects of the western (Oranian), central (Algiersian), and eastern (Constantinian) regions of Algeria. We applied our approaches to the Maghreb dialect detection domain that contains a collection of 10-second utterances and we compared the performance precision gained against the dialect samples from a baseline GMM-UBM system and the ones from our own improved GMM-UBM system that uses a Reduced UBM algorithm. Our experiments show that our approaches significantly improve identification performance over purely acoustic features with an identification rate of 80.49%.

Development of Electronic Identification Unit Using RF (RF를 이용한 전자 개체 인식 장치 개발)

  • 조성인;류관희;안광재;김유용;유윤관
    • Journal of Biosystems Engineering
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    • v.27 no.5
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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.

Verification of Communication Distance and Position Error of Electric Buoy for Automatic Identification of Fishing Gear (어구 자동 식별을 위한 전자 부이의 통신 거리 및 위치 오차 검증)

  • Kim, Sung-Yul;Yim, Choon-Sik;Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.25 no.5
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    • pp.397-402
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    • 2021
  • The real-name electric fishing gear system is one of the important policy capable to build 'abundant fishing ground' and to protect marine environment. And, fishing gear automatic-identification system is one of IoT services that can implement above-mentioned policy by using communication such as low power wide area (LPWA) and multi-sensing techniques. Fishing gear automatic -identification system can gather the location data and lost/hold data from electric buoy floated in sea and can provide them to fishermen and monitoring center in land. We have developed the communication modules and electric buoy consisted of fishing gear automatic-identification system. In this paper, we report the test results of communication distance between electric buoy and wireless node installed in fish boat and location error of electric buoy. It is confirmed that line of sight (LOS) distance between electric buoy and wireless node is obtained to be 62 km, which is two times of the desired value, and location error is obtained to be CEP 1 m, which is smaller than the desired value of CEP 5 m. Therefore, it is expected that service area and accuracy of the developed fishing gear automatic-identification system is more extended.

An Automatic Identification System of Biological Resources based on 2D Barcode and UCC/EAN-128 (2차원 바코드와 UCC/EAN-128을 이용한 생물자원 자동인식시스템)

  • Chu, Min-Seok;Ryu, Keun-Ho;Kim, Jun-Woo;Kim, Hung-Tae;Han, Bok-Ghee
    • The KIPS Transactions:PartD
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    • v.15D no.6
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    • pp.861-872
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    • 2008
  • As rapid development of computing environment, field of automatic identification research which interoperates with various physical objects and digital information is making active progress. Although the automatic identification system is widely used in various industries, application of automatic identification system in the field of medical health doesn't reach other industry. Therefore research in medical health supplies such as medical equipment, blood, human tissues and etc is on progress. This paper suggests the application of automatic identification technology for biological resources which is core research material in human genome research. First of all, user environment requirements for the introduction of automatic identification technology are defined and through the experiments and research, barcode is selected as a suitable tag interface. Data Matrix which is 2D barcode symbology is chosen and data schema is designed based on UCC/EAN-128 for international defecto standard. To showapplicability of proposed method when applied to actual environment, we developed, tested and evaluated application as following methods. Experiments of barcode read time at 196 and 75 below zero which is actual temperature where biological resources are preserved resulted read speed of average of 1.6 second and the data schema satisfies requirements for the biological resources application. Therefore suggested method can provide data reliability as well as rapid input of data in biological resources information processing.

Survey on the Korean MCS Systems and Development Issues (국내 MCS 시스템 현황 및 발전 방향)

  • Kim, Geon-Ung;Park, Gyei-Kark;Choi, Jo-Cheon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.10
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    • pp.2019-2029
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    • 2009
  • There are several MCS(Monitoring, Control and Surveillance) systems for maritime safety and security in Korea; VMS (Vessel Monitoring System) that based on the AIS(Automatic Identification System), and the LRIT(Long-Range Identification and Tracking), the Vessel Free Pass System that based on the RFID(Radio Frequency IDentification), the Fisheries Information Network that provided by the National Federation of Fisheries Cooperatives. This paper surveys the fundamental technologies of MCS systems, and compares the role and function of them. It also surveys the development direction of each systems and research topics for cooperation of them.

Automatic modal identification and variability in measured modal vectors of a cable-stayed bridge

  • Ni, Y.Q.;Fan, K.Q.;Zheng, G.;Ko, J.M.
    • Structural Engineering and Mechanics
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    • v.19 no.2
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    • pp.123-139
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    • 2005
  • An automatic modal identification program is developed for continuous extraction of modal parameters of three cable-supported bridges in Hong Kong which are instrumented with a long-term monitoring system. The program employs the Complex Modal Indication Function (CMIF) algorithm for identifying modal properties from continuous ambient vibration measurements in an on-line manner. By using the LabVIEW graphical programming language, the software realizes the algorithm in Virtual Instrument (VI) style. The applicability and implementation issues of the developed software are demonstrated by using one-year measurement data acquired from 67 channels of accelerometers permanently installed on the cable-stayed Ting Kau Bridge. With the continuously identified results, variability in modal vectors due to varying environmental conditions and measurement errors is observed. Such an observation is very helpful for selection of appropriate measured modal vectors for structural health monitoring use.

The Construction of the Fishing-vessel Monitoring System and the Protocol Analysis for the Calling of Location Requirement Using VHF-DSC (VHF-DSC 위치요청 프로토콜 분석과 어선관제시스템 구축)

  • Kim, Jeong-nyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.929-932
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    • 2013
  • In preperation for the compulsory installation of VHF(Very High Frequency) wireless equipment and fishing vessel automatic identification system according to the revision of "The Ships Safety Act" and "Fishing Vessel act", Fishery Information & Communication Department of National Federation of Fisheries Cooperatives is building VHF communication network and automatic identification system for fishing vessel monitoring. This study suggests the protocol analysis for the calling of location requirement using DSC(Digital Selective Calling) function and show best way for fishing vessel automatic identification system. Also, it suggest way to realize fishing vessel monitoring system.

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The Construction of the Vessel Monitoring System and the Protocol Analysis for the Calling of Location Requirement Using VHF-DSC (VHF-DSC 위치요청 프로토콜 분석과 선박관제시스템 구축)

  • Kim, Jeong-Nyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.12
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    • pp.2800-2805
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    • 2013
  • In preperation for the compulsory installation of VHF(Very High Frequency) wireless equipment and fishing vessel automatic identification system according to the revision of "The Ships Safety Act" and "Fishing Vessel act", Fishery Information & Communication Department of National Federation of Fisheries Cooperatives is building VHF communication network and automatic identification system for fishing vessel monitoring. This study suggests the protocol analysis for the calling of location requirement using DSC(Digital Selective Calling) function and show best way for fishing vessel automatic identification system. Also, it suggest way to realize fishing vessel monitoring system.

Motion Identification using Neural Networks and Its Application to Automatic Ship Berthing under Wind

  • Im, Nam-Kyun;Kazuhiko Hasegawa
    • Journal of Ship and Ocean Technology
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    • v.6 no.1
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    • pp.16-26
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    • 2002
  • In this paper, a motion identification method using neural networks is applied to automatic ship berthing to overcome disturbance effects. Motion identification is used to estimate the effect of environmental disturbance. Two rule-based algorithms have been developed to over-come disturbance. The first rule based-algorithm was designed to overcome lateral disturbance when a ship's lateral speed is affected by it. The second rule-based algorithm was also designed to overcome longitudinal disturbance when a ship's angular velocity is changed by it. Finally, numerical simulations for automatic berthing are carried out, and the suggested control system is proved to be more practical under disturbance circumstances.

A Method of Object Identification from Procedural Programs (절차적 프로그램으로부터의 객체 추출 방법론)

  • Jin, Yun-Suk;Ma, Pyeong-Su;Sin, Gyu-Sang
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.10
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    • pp.2693-2706
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    • 1999
  • Reengineering to object-oriented system is needed to maintain the system and satisfy requirements of structure change. Target systems which should be reengineered to object-oriented system are difficult to change because these systems have no design document or their design document is inconsistent of source code. Using design document to identifying objects for these systems is improper. There are several researches which identify objects through procedural source code analysis. In this paper, we propose automatic object identification method based on clustering of VTFG(Variable-Type-Function Graph) which represents relations among variables, types, and functions. VTFG includes relations among variables, types, and functions that may be basis of objects, and weights of these relations. By clustering related variables, types, and functions using their weights, our method overcomes limit of existing researches which identify too big objects or objects excluding many functions. The method proposed in this paper minimizes user's interaction through automatic object identification and make it easy to reenginner procedural system to object-oriented system.

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