• Title/Summary/Keyword: Path error

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ARDL-Bounds Testing Approaches to the Factor Price Equalization: The Case of Korea, U.S., and Japan (ARDL-Bounds Test에 의한 요소가격균등화 검정: 한국, 미국, 일본을 중심으로)

  • Rhee, Hyun-Jae
    • International Area Studies Review
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    • v.15 no.2
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    • pp.101-123
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    • 2011
  • The paper is basically attempted to reveal the factor price equalization(FPE) on Korea, United States, and Japan by the ARDL-bounds testing. Wage-rental ratio and relative commodity prices between Korea, United States, and Japan are analyzed by employing equality and convergence frameworks. Empirical evidences are shown that necessary and sufficient conditions for the FPE seems to be easily satisfied in a small country such as Korea rather than large ones as like United States and Japan. And, the FPE is more easily achieved by a nominal term rather than the real term. Due to the fact that an error correction term in the Error Correction Model is insignificant, direct mobility of labor and capital between the countries is not that effective to a short run adjustment. It implies that the FPE is in general going through a long run path. It also has to be mentioned that a trade policy has to selectively implemented depending on the weight of trading volumes and it has to be build up by a long run basis.

Micro cutting process technology for micro molds parts (마이크로 금형 부품을 위한 마이크로 절삭가공 기술)

  • Ha, Seok-Jae;Park, Jeong-Yeon;Kim, Gun-Hee;Yoon, Gil-Sang
    • Design & Manufacturing
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    • v.13 no.1
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    • pp.5-12
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    • 2019
  • In this paper, we studied the micro tool deflection, micro cutting with low temperature, and deformation of micro ribs caused by cutting forces. First, we performed an integrated machining error compensation method based on captured images of tool deflection shapes in micro cutting process. In micro cutting process, micro tool deflection generates very serious problems in contrast to macro tool deflection. To get the real images of micro tool deflection, it is possible to estimate tool deflection in cutting conditions modeled and to compensate for machining errors using an iterative algorithm correcting tool path. Second, in macro cutting fields, the cryogenic cutting process has been applied to cut the refractory metal but, the serious problem may be generated in micro cutting fields by the cryogenic environment. However, if the proper low temperature is applied to micro cutting area, the cooling effect of cutting heat is expected. Such effect can make the reduction of tool wear and burr formation. For verifying this passibility, the micro cutting experiment at low temperature was performed and SEM images were analyzed. Third, the micro pattern was deformed by the cutting forces and the shape error occurred in the sidewall multi-step cutting process were minimized. As the results, the relationship between the cutting conditions and the deformation of micro-structure during micro cutting process was investigated.

Model-based Design and Performance Analysis of Main Control Valve of Flap Control System (플랩제어시스템 주제어밸브의 모델기반 설계 및 성능해석)

  • Cho, Hyunjun;Ahn, Manjin;Joo, Choonshik
    • Journal of Aerospace System Engineering
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    • v.13 no.4
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    • pp.50-59
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    • 2019
  • The design of the main control valve, which is the main component of the flap control system, was based on actual manufacturing experience on the basis of trial and error method. In this paper, a model-based part design method is proosed. The flap control system consists of a main control valve, fail-safe valve, solenoid valve, LVDT and force motor. The main control valve consists mainly of a spool and slot. The important design parameters of the main control valve are the slot width, overlap and clearance. AMESim is linked to the model and it analyzes the flow path of the main control valve. Applying the proposed design procedure, it was confirmed that the required performance was satisfied within the allowable machining error range.

Performance Comparison of Autoencoder based OFDM Communication System with Wi-Fi

  • Shiho Oshiro;Takao Toma;Tomohisa Wada
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.172-178
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    • 2023
  • In this paper, performance of autoencoder based OFDM communication systems is compared with IEEE 802.11a Wireless Lan System (Wi-Fi). The proposed autoencoder based OFDM system is composed of the following steps. First, one sub-carrier's transmitter - channel - receiver system is created by autoencoder. Then learning process of the one sub-carrier autoencoder generates constellation map. Secondly, using the plural sub-carrier autoencoder systems, parallel bundle is configured with inserting IFFT and FFT before and after the channel to configure OFDM system. Finally, the receiver part of the OFDM communication system was updated by re-learning process for adapting channel condition such as multipath channel. For performance comparison, IEEE802.11a and the proposed autoencoder based OFDM system are compared. For channel estimation, Wi-Fi uses initial long preamble to measure channel condition. but Autoencoder needs re-learning process to create an equalizer which compensate a distortion caused by the transmission channel. Therefore, this autoencoder based system has basic advantage to the Wi-Fi system. For the comparison of the system, additive random noise and 2-wave and 4-wave multipaths are assumed in the transmission path with no inter-symbol interference. A simulation was performed to compare the conventional type and the autoencoder. As a result of the simulation, the autoencoder properly generated automatic constellations with QPSK, 16QAM, and 64QAM. In the previous simulation, the received data was relearned, thus the performance was poor, but the performance improved by making the initial value of reception a random number. A function equivalent to an equalizer for multipath channels has been realized in OFDM systems. As a future task, there is not include error correction at this time, we plan to make further improvements by incorporating error correction in the future.

Study on the Positioning Method using BLE for Location based AIoT Service (위치 기반 지능형 사물인터넷 서비스를 위한 BLE 측위 방법에 관한 연구)

  • Ho-Deok Jang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.1
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    • pp.25-30
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    • 2024
  • Smart City, a key application area of the AIoT (Artificial Intelligence of Things), provides various services in safety, security, and healthcare sectors through location tracking and location-based services. an IPS (Indoor Positioning System) is required to implement location-based services, and wireless communication technologies such as WiFi, UWB (Ultra-wideband), and BLE (Bluetooth Low Energy) are being applied. BLE, which enables data transmission and reception with low power consumption, can be applied to various IoT devices such as sensors and beacons at a low cost, making it one of the most suitable wireless communication technologies for indoor positioning. BLE utilizes the RSSI (Received Signal Strength Indicator) to estimate the distance, but due to the influence of multipath fading, which causes variations in signal strength, it results in an error of several meters. In this paper, we conducted research on a path loss model that can be applied to BLE IPS for proximity services, and confirmed that optimizing the free space propagation loss coefficient can reduce the distance error between the Tx and Rx devices.

A RSS-Based Localization for Multiple Modes using Bayesian Compressive Sensing with Path-Loss Estimation (전력 손실 지수 추정 기법과 베이지안 압축 센싱을 이용하는 수신신호 세기 기반의 위치 추정 기법)

  • Ahn, Tae-Joon;Koo, In-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.29-36
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    • 2012
  • In Wireless Sensor Network(WSN)s, the detection of precise location of each node is essential for utilizing sensing data acquired from sensor nodes effectively. Among various location methods, the received signal strength(RSS) based localization scheme is mostly preferable in many applications because it can be easily implemented without any additional hardware cost. Since a RSS-based localization scheme is mainly affected by radio channel or obstacles such as building and mountain between two nodes, the localization error can be inevitable. To enhance the accuracy of localization in RSS-based localization scheme, a number of RSS measurements are needed, which results in the energy consumption. In this paper, a RSS based localization using Bayesian Compressive Sensing(BSS) with path-loss exponent estimation is proposed to improve the accuracy of localization in the energy-efficient way. In the propose scheme, we can increase the adaptative, reliability and accuracy of localization by estimating the path-loss exponents between nodes, and further we can enhance the energy efficiency by the compressive sensing. Through the simulation, it is shown that the proposed scheme can enhance the location accuracy of multiple unknown nodes with fewer RSS measurements and is robust against the channel variation.

The Development of a Machine Vision Algorithm for Automation of Pavement Crack Sealing (도로면 크랙실링 자동화를 위한 머신비전 알고리즘의 개발)

  • Yoo Hyun-Seok;Lee Jeong-Ho;Kim Young-Suk;Kim Jung-Ryeol
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.2 s.18
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    • pp.90-105
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    • 2004
  • Machines for crack sealing automation have been continually developed since the early 1990's because of the effectiveness of crack sealing that would be able to improve safety, quality and productivity. It has been considered challenging problem to detect crack network in pavement which includes noise (oil marks, skid marks, previously sealed cracks and inherent noise). Moreover, it is required to develop crack network mapping and modeling algorithm in order to accurately inject sealant along to the middle of cut crack network. The primary objective of this study is to propose machine vision algorithms (digital image processing algorithm and path planning algorithm) for fully automated pavement crack sealing. It is anticipated that the effective use of the proposed machine vision algorithms would be able to reduce error rate in image processing for detecting, mapping and modeling crack network as well as improving quality and productivity compared to existing vision algorithms.

Performance Analysis of Adaptive SC/MRC Diversity Combining using in AWGN (AWGN환경에서 적응형 SC/MRC 다이버시티 컴바이너 성능분석)

  • Yun, Deok-Won;Huh, Sung-Uk;Kim, Chun-Won;Choi, Yong-Tae;Lee, Won-Cheol
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.6
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    • pp.757-763
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    • 2018
  • It is very difficult to achieve sufficient data rate and required quality of service due to the time-varying nature of the radio channel and various jammers such as path loss, delay, Doppler, shadowing and interference. Especially, the propagation path between the transmitting antenna and the tracking antenna mounted on the fuselage during the test and evaluation of the projectile system considered in this paper is based on the rapid movement of the projectile, the interference due to multipath fading due to the terrain, The propagation path may be blocked. In order to effectively improve the multipath fading occurring in the wireless communication system, a diversity combiner technique is required. In this paper, to derive the design and improvement schemes for the space diversity combiner technique among the diversity combiner schemes, the BER performance of maximum ratio combining (MRC) and selection combining (SC) In an adaptive SC / MRC diversity combiner that operates with MRC when it is lower than the specified threshold criterion when comparing the SNR between two signals received from the channel and operates with SC at high and combines the two received signals The BER performance of the system was compared and analyzed.

Study on INS/GPS Sensor Fusion for Agricultural Vehicle Navigation System (농업기계 내비게이션을 위한 INS/GPS 통합 연구)

  • Noh, Kwang-Mo;Park, Jun-Gul;Chang, Young-Chang
    • Journal of Biosystems Engineering
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    • v.33 no.6
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    • pp.423-429
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    • 2008
  • This study was performed to investigate the effects of inertial navigation system (INS) / global positioning system (GPS) sensor fusion for agricultural vehicle navigation. An extended Kalman filter algorithm was adopted for INS/GPS sensor fusion in an integrated mode, and the vehicle dynamic model was used instead of the navigation state error model. The INS/GPS system was consisted of a low-cost gyroscope, an odometer and a GPS receiver, and its performance was tested through computer simulations. When measurement noises of GPS receiver were 10, 1.0, 0.5, and 0.2 m ($1{\sigma}$), RMS position and heading errors of INS/GPS system at 5 m/s straight path were remarkably reduced with 10%, 35%, 40%, and 60% of those obtained from the GPS receiver, respectively. The decrease of position and heading errors by using INS/GPS rather than stand-alone GPS can provide more stable steering of agricultural equipments. Therefore, the low-cost INS/GPS system using the extended Kalman filter algorithm may enable the self-autonomous navigation to meet required performance like stable steering or more less position errors even in slow-speed operation.

Design of TCP-Light Protocol for wireless sensor network (무선센서네트워크를 위한 TCP-Light 프로토콜 설계)

  • Kim, Sun-Young;Jin, Kyo-Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.477-480
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    • 2008
  • In this paper, we design the TCP-Light protocol for directly connecting a sensor network with Internet. When we are monitoring the data and controlling of the sensor node, the sensor network must be connected to Internet. But TCP in wireless networks has a number of performance problems which is high bit-error rates and a hardware constraint. Moreover, the end-to-end acknowledgment and retransmission scheme employed by TCP causes expensive retransmissions along every hop of the path between the sender and the receiver. This paper introduces The TCP-Light protocol which increases TCP performance in wireless sensor networks, decreases the number of end-to-end retransmissions and decreases memory consumption.

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