• Title/Summary/Keyword: a hybrid navigation

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Dual-Band Unequal Power Divider based on CRLH Transmission Line (CRLH 전송선로를 기반으로 한 이중대역 비대칭 전력 분배기)

  • Yoo, Jae-Hyun;Kim, Young;Yoon, Young-Chul
    • Journal of Advanced Navigation Technology
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    • v.14 no.6
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    • pp.909-915
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    • 2010
  • In this paper, the unequal power divider based on CRLH (Composite Right/Left-Handed) transmission line with dual-band characteristic is proposed. They consist of dual-band branch line hybrid coupler, the connection between input and isolation port of hybrid coupler and ${\lambda}/4$ impedance transformer. When the transmission line between input and isolation port of hybrid coupler is asymmetrical connected, the divider is obtained the output results of the equal phase and unequal power dividing ratio. The simulation results of the divider represent the power ratio of 0 dB ~ 20 dB. To validate a function of divider, the hybrid coupler and transformer with 880 MHz and 1850 MHz is implemented. As a result, the proposed unequal divider obtains the power ratio of 3.2 dB ~ 8.8 dB at 880 MHz and 2.5 dB ~ 14.0 dB at 1850 MHz.

Hybrid Indoor Position Estimation using K-NN and MinMax

  • Subhan, Fazli;Ahmed, Shakeel;Haider, Sajjad;Saleem, Sajid;Khan, Asfandyar;Ahmed, Salman;Numan, Muhammad
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.9
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    • pp.4408-4428
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    • 2019
  • Due to the rapid advancement in smart phones, numerous new specifications are developed for variety of applications ranging from health monitoring to navigations and tracking. The word indoor navigation means location identification, however, where GPS signals are not available, accurate indoor localization is a challenging task due to variation in the received signals which directly affect distance estimation process. This paper proposes a hybrid approach which integrates fingerprinting based K-Nearest Neighbors (K-NN) and lateration based MinMax position estimation technique. The novel idea behind this hybrid approach is to use Euclidian distance formulation for distance estimates instead of indoor radio channel modeling which is used to convert the received signal to distance estimates. Due to unpredictable behavior of the received signal, modeling indoor environment for distance estimates is a challenging task which ultimately results in distance estimation error and hence affects position estimation process. Our proposed idea is indoor position estimation technique using Bluetooth enabled smart phones which is independent of the radio channels. Experimental results conclude that, our proposed hybrid approach performs better in terms of mean error compared to Trilateration, MinMax, K-NN, and existing Hybrid approach.

A Study of Query Processing Model to applied Meta Rule in 4-Level Layer based on Hybrid Databases (하이브리드 데이터베이스 기반의 4단계 레이어 계층구조에서 메타규칙을 적용한 질의어 수행 모델에 관한 연구)

  • Oh, Ryum-Duck
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.6
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    • pp.125-134
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    • 2009
  • A biological data acquisition based on web has emerged as a powerful tool for allowing scientists to interactively view entries form different databases, and to navigate from one database to another molecular-biology database links. In this paper, the biological conceptual model is constructed hybrid biological data model to represent interesting entities in the data sources to applying navigation rule property for each biological data source based on four biological data integrating layers to control biological data. When some user's requests for application service are occurred, we can get the data from database and data source via web service. In this paper, we propose a query processing model and execution structure based on integrating data layers that can search information on biological data sources.

Faster-than-real-time Hybrid Automotive Underwater Glider Simulation for Ocean Mapping

  • Choi, Woen-Sug;Bingham, Brian;Camilli, Richard
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.3
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    • pp.441-450
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    • 2022
  • The introduction of autonomous underwater gliders (AUGs) specifically addresses the reduction of operational costs that were previously prohibited with conventional autonomous underwater vehicles (AUVs) using a "scaling-down" design philosophy by utilizing the characteristics of autonomous drifters to far extend operation duration and coverage. Long-duration, wide-area missions raise the cost and complexity of in-water testing for novel approaches to autonomous mission planning. As a result, a simulator that supports the rapid design, development, and testing of autonomy solutions across a wide range using software-in-the-loop simulation at faster-than-real-time speeds becomes critical. This paper describes a faster-than-real-time AUG simulator that can support high-resolution bathymetry for a wide variety of ocean environments, including ocean currents, various sensors, and vehicle dynamics. On top of the de facto standard ROS-Gazebo framework and open-sourced underwater vehicle simulation packages, features specific to AUGs for ocean mapping are developed. For vehicle dynamics, the next-generation hybrid autonomous underwater gliders (Hybrid-AUGs) operate with both the buoyancy engine and the thrusters to improve navigation for bathymetry mappings, e.g., line trajectory, are is implemented since because it can also describe conventional AUGs without the thrusters. The simulation results are validated with experiments while operating at 120 times faster than the real-time.

A Study on the Design of Polarization Selective Antenna for UHF RFID System (UHF RFID 시스템을 위한 Polarization Selective 안테나 설계 연구)

  • Lee, Sa-Won;Song, Woo-Yong
    • Journal of Advanced Navigation Technology
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    • v.14 no.2
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    • pp.170-175
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    • 2010
  • This article proposed polarization selective antenna for UHF RFID system. The proposed antenna is consist of microstrip patch antenna with dual feeding and two SPDT switches and a SP4T switch and 3dB hybrid coupler. Through control of voltage of switches, the proposed reader antenna can select horizontally linear polarization, vertically linear polarization, left-hand circular polarization (LHCP) and right hand circular polarization (RHCP). The proposed reader antenna satisfied 2:1 VSWR at 902MHz ~ 928MHz. and 3dB under AR(axial ratio). And it can select appropriative polarization with user environment and tag polarization. So it minimize PLF and increased reading distance.

A Study on the Comparison of the Capacity of Waiting Anchorage Design according to the Port Operation Method - Focusing on Busan New Port -

  • Park, Jun-mo;Yang, Hyoung-Seon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.3
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    • pp.251-258
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    • 2019
  • This study was conducted to propose an effective port operation method in terms of the design capacity of waiting anchorage by comparing the ratio and the number of waiting anchorage according to the port operation method of Busan New Port. For this, the Arena simulation program compared the rates of waiting vessels according to the application of the multi-user terminal, liner terminal and hybrid liner terminal operation methods. As a result, analysis suggested the necessary anchorage space can be reduced to about 18 % when using the multi-user terminal operation method and about 15.6 % when using the hybrid liner terminal operation method, as compared with the liner terminal operation method. Specifically, it was effective to apply the multi-user terminal operation method in terms of the anchorage capacity to be designated to Busan New Port. This study can apply to the designation of the new anchorage in the Busan New Port by reflecting the contents of the design of the anchorage in accordance with the port operation method.

The Operation Characteristic of the LED Taxi Light for Wavelength According to Meteorological Changes for Hybrid System Using a ESS (하이브리드 시스템의 ESS를 이용한 기상변화의 파장별 LED 항공유도등 동작특성)

  • Hwang, Lark-Hoon;Kim, Jin-Sun;Na, Yong- Ju
    • Journal of Advanced Navigation Technology
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    • v.20 no.4
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    • pp.265-274
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    • 2016
  • In this study, the system was composed of the booster chopper and the power converter, which is a pulse width modulation (PWM) voltage inverter using a hybrid power generation system solar cell energy and wind force, Furthermore, in order to compensate the PWM voltage type inverter was linked with the general commercial power source, and through a normal operation of energy storage system (ESS), the system operated the LED Taxi Light by Wavelength according to Meteorological Changes at the airport in an efficient manner. The performance of the system was compared with the solar cell characteristics specification. In addition, for phase synchronization with the PWM voltage type inverter, the grid voltage was detected so as to operate the grid voltage and inverter output in the same phase and to connect the surplus electric power with the system. Finally, by developing a control circuit at the same time from which an excellent dynamic characteristics can be obtained through applying to the airport runway taxi light, it was concluded that a variety of taxi light can be pursued.

Design of Hybrid Wheeled and Legged Mobile Robot with a Waist Joint (허리 구조를 갖는 복합 바퀴-다리 이동형 로봇의 설계)

  • Choi, Dae-Gyu;Jeong, Dong-Hyuk;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.3
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    • pp.304-309
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    • 2014
  • In this paper, we design a hybrid wheeled and legged mobile robot with a waist joint. The proposed hybrid mobile robot is designed to have a hybrid structure with leg and wheel for the efficient movement in flat and uneven surfaces. The proposed robot have a waist joint that is used to stably transform from wheeled driving to legged walking of the robot and to overcome non-flat surface. In order to recognize various environments we use LRF sensor, PSD sensor, CCD camera. Also, a motion planning method for hybrid mobile robot with a waist joint is proposed to select wheeled driving motion and legged walking motion of the robot based the environment types. We verify the efficient mobility of the developed hybrid mobile robot through navigation experiments using the proposed motion planning method in various environments.

A Design Control System of Hybrid Underwater Glider and Performance Test (하이브리드 수중 글라이더의 제어 시스템 설계 및 성능 시험)

  • Ji, Dae-hyeong;Choi, Hyeung-sik;Kim, Joon-young;Jung, Dong-wook;Jeong, Seong-hoon
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.21-29
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    • 2017
  • In this paper, we studied the control of the hybrid underwater glider (HUG), which has the advantage of high precision route search function and long-term mission capability. Dynamic modeling of HUG is based on numerical model of the attitude controller and buoyancy engine, thruster. We designed the control part considering the smooth control and precise sailing of HUG. A buoyancy engine capable of inhaling water is designed to control the buoyancy of HUG. And mass shifter carrying the battery was designed for controlling pitching motion of HUG. A control system for controlling the buoyancy engine and the attitude controller was constructed. In order to verify performance, we performed water tank test using manufactured HUG.

A Study on Application of ARIMA and Neural Networks for Time Series Forecasting of Port Traffic (항만물동량 예측력 제고를 위한 ARIMA 및 인공신경망모형들의 비교 연구)

  • Shin, Chang-Hoon;Jeong, Su-Hyun
    • Journal of Navigation and Port Research
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    • v.35 no.1
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    • pp.83-91
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    • 2011
  • The accuracy of forecasting is remarkably important to reduce total cost or to increase customer services, so it has been studied by many researchers. In this paper, the artificial neural network (ANN), one of the most popular nonlinear forecasting methods, is compared with autoregressive integrated moving average(ARIMA) model through performing a prediction of container traffic. It uses a hybrid methodology that combines both the linear ARIAM and the nonlinear ANN model to improve forecasting performance. Also, it compares the methodology with other models in performance for prediction. In designing network structure, this work specially applies the genetic algorithm which is known as the effectively optimal algorithm in the huge and complex sample space. It includes the time delayed neural network (TDNN) as well as multi-layer perceptron (MLP) which is the most popular neural network model. Experimental results indicate that both ANN and Hybrid models outperform ARIMA model.