• Title/Summary/Keyword: pilot based

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Pilot-Based Coding Scheme for Parametric Stereo in Enhanced aacPlus

  • Pang, Hee-Suk
    • ETRI Journal
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    • v.31 no.5
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    • pp.613-615
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    • 2009
  • We propose a pilot-based coding (PBC) scheme for lossless bit rate reduction of parametric stereo (PS) in enhanced aacPlus. It uses PBC in addition to the existing frequency and time differential coding to encode and decode PS parameter indexes. We also design optimal Huffman codebooks (HCBs) for PBC in the proposed scheme. Experiments show that the proposed scheme is superior to the original coding scheme, where both the new coding structure and the optimal HCBs contribute to the bit rate reduction.

Deep CNN based Pilot Allocation Scheme in Massive MIMO systems

  • Kim, Kwihoon;Lee, Joohyung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4214-4230
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    • 2020
  • This paper introduces a pilot allocation scheme for massive MIMO systems based on deep convolutional neural network (CNN) learning. This work is an extension of a prior work on the basic deep learning framework of the pilot assignment problem, the application of which to a high-user density nature is difficult owing to the factorial increase in both input features and output layers. To solve this problem, by adopting the advantages of CNN in learning image data, we design input features that represent users' locations in all the cells as image data with a two-dimensional fixed-size matrix. Furthermore, using a sorting mechanism for applying proper rule, we construct output layers with a linear space complexity according to the number of users. We also develop a theoretical framework for the network capacity model of the massive MIMO systems and apply it to the training process. Finally, we implement the proposed deep CNN-based pilot assignment scheme using a commercial vanilla CNN, which takes into account shift invariant characteristics. Through extensive simulation, we demonstrate that the proposed work realizes about a 98% theoretical upper-bound performance and an elapsed time of 0.842 ms with low complexity in the case of a high-user-density condition.

Low Pilot Ratio Channel Estimation for OFDM Systems Based on GCE-BEM

  • Wang, Lidong;Lim, Dong-Min
    • Journal of electromagnetic engineering and science
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    • v.7 no.4
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    • pp.195-200
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    • 2007
  • Doubly-selective channel estimator for orthogonal frequency division multiplexing(OFDM) systems is proposed in this paper. Based on the generalized complex exponential basis expansion model(GCE-BEM), we describe the time-variant channel with time-invariant coefficients over multiple OFDM blocks. The time variation of the channel destroys the orthogonality between subcarriers, and the resulting channel matrix in the frequency domain is no longer diagonal, but the main interference comes from the near subcarriers. Based on this, we propose a channel estimator with low pilot ratio. We first develop a least-square(LS) estimator under the assumption that only the maximum Doppler frequency and the channel order are known at the receiver, and then verify that the correlation matrix of inter-channel interference(ICI) is a scaled identity matrix based on which we derive an optimal pilot insertion scheme for the LS estimator in the sense of minimum mean square error. The proposed estimator has the advantages of low pilot ratio and robustness against inter-carrier interference.

A Random Forest Algorithm-based Accident Prediction to Prevent Marine Pilot Occupational Accidents

  • Gokhan Camliyurt;Won Sik Kang;Daewon Kim;Sangwon Park;Youngsoo Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.415-416
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    • 2022
  • Marine pilot occupational accidents during transfer to/from the ship are at the top of the agenda after several safety campaigns by IMPA and individual attemptsThere is multiple transfer method for the marine pilot, but a most common way is to use the pilot cutter. This paper aims to predict marine pilot occupational accidents before it occurs by using historical data. Since the problem depends on several variables, this paper develops a model by using the random forest method to predict marine pilot accidents before happening with the random forest method by using RStudio software

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The Pilot Study of the structural design based on the Building Information Model(BIM) (Building Information Model(BIM) 기반의 건축 구조설계 Pilot Study)

  • Shin, Tae-Song;Cho, Young-Sang;Cheon, Jin-Ho;Eom, Jin-Up;Yang, Jong-Min
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.265-268
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    • 2008
  • With application of IT convergence technique in AEC industry, it is currently conducted the research on the virtual construction system. This paper aims at the pilot study on the structural design based on BIM used in collaboration environment. The work scope of structural design includes the structural analysis model, structural detail model and analytic model and we focuse the research on the interoperability among them. It is partly utilized the transfer module supplied by software developer and partly developed here the interface module through API. This paper shows the interoperability process to pilot test and indicates the problems occurred in interface.

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Analysis of Predictive Validity of the Republic of Korea Air Force Pilots' Aptitude Test (공군 조종적성검사의 예측타당도 분석)

  • Bo Soo Kim;Ja Kyung Seo;Young Woo Sohn
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.32 no.3
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    • pp.53-68
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    • 2024
  • Selecting individuals with ideal pilot aptitude is crucial to minimizing aviation accidents caused by human error and preventing economic losses due to dropouts during flight training. Specifically, the Republic of Korea Air Force implemented a new computer-based pilot aptitude test tool in 2018, which integrates cognitive ability tests and psychomotor ability tests. Additional research is necessary to overcome the limitations identified during the development phase. In this study, we analyzed the predictive validity of the newly developed pilot aptitude test by examining how well it predicts actual flight training performance among 1,078 Air Force officers. The results indicated that the test effectively predicted the completion of each training phase. Based on these findings, theoretical and practical implications were discussed.

Study on the Improvement of Maritime Pilot Certification System (도선사 자격증명제도 개선 방안)

  • An, Kwang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.1
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    • pp.47-53
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    • 2022
  • A person who intends to become a maritime pilot shall have sea experience as a master, pass the apprentice pilot test and pilot test, and obtain a license from the Minister of Oceans and Fisheries. In Korea, the government limits the number of pilot licenses, considering the demand for pilotage. An inherent problem exist in the apprentice pilot test system as it conducts a relative evaluation based on test scores without an absolute evaluation standard. The purpose of this study is to identify problems of the current pilot test system and to suggest ways to improve the pilot certification system. In this study, the history of amendments of the pilot certification system in the Pilotage Act was investigated, and implications were derived by examining international standards for pilot certification, and a survey was conducted on 77 incumbent pilots. Consequently, a plan to improve the domestic apprentice pilot test and a step-by-step implementation plan for pilot certification system improvement were presented. The results of this study are expected to be utilized not only for the development of the government policy on pilot certification and for related academic basic data.

A Study on the Aptitude Test of Helicopter Pilots - Based on the Diagnostic Model - (헬리콥터 조종사의 적성검사에 관한 연구 - 진단 모형을 중심으로 -)

  • Kim, Jong-Pil;Kim, Sang-Chul;Seol, Hyeonju
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.3
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    • pp.74-83
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    • 2020
  • Securing excellent pilots is not only directly linked to the military's improved combat capabilities, but also a way to minimize human and property losses from aircraft accidents. Therefore, a scientific method is needed to diagnose pilot aptitude from the pilot selection process and select those with high accident potential, those who are dropped out of the flight training process, and those who are not suitable for pilot life in advance. Developed countries have implemented pilot aptitude tests to solve these problems early on, but so far, the Korean Army has not introduced a pilot aptitude test system that uses diagnostic tools in the helicopter pilot selection process. Therefore, in this study, scientific diagnostic tools are developed for selecting helicopter pilots, and through this, it is predicted that the number of people who are likely to be dropped out of the training course and who have the potential for accidents will be selected in advance and eliminated in the selection process. In this context, prior research examined the key factors involved in the pilot aptitude test. Through this, the aptitude test items were developed and aptitude tests were conducted on student pilots currently in flight training, and the results of flight training were analyzed.

Approximating the Outage Probability of the Pilot Channel for IS-95-Based Cellular CDMA Systems in the Soft Handover Region

  • Park, Seung-Keun;Cho, Pyung-Dong;Park, Ki-Shik;Cho, Kyung-Rok
    • ETRI Journal
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    • v.25 no.6
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    • pp.523-526
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    • 2003
  • This letter presents an approximation of the outage probability of the pilot channel that can be used for CDMA cell planning. The approximation can determine system parameters for soft handover in IS-95-based cellular CDMA downlink design. Computer simulations show that our analytical results agree with empirical results.

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A Study on the Postprocessing of Channel Estimates in LTE System (LTE 시스템 채널 추정치의 후처리 기법 연구)

  • Yoo, Kyung-Yul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.1
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    • pp.205-213
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    • 2011
  • The Long Term Evolution (LTE) system is designed to provide a high quality data service for fast moving mobile users. It is based on the Orthogonal Frequency Division Multiplexing (OFDM) and relies its channel estimation on the training samples which are systematically built within the transmitting data. Either a preamble or a lattice type is used for the distribution of training samples and the latter suits better for the multipath fading channel environment whose channel frequency response (CFR) fluctuates rapidly with time. In the lattice-type structure, the estimation of the CFR makes use of the least squares estimate (LSE) for each pilot samples, followed by an interpolation both in time-and in frequency-domain to fill up the channel estimates for subcarriers corresponding to data samples. All interpolation schemes should rely on the pilot estimates only, and thus, their performances are bounded by the quality of pilot estimates. However, the additive noise give rise to high fluctuation on the pilot estimates, especially in a communication environment with low signal-to-noise ratio. These high fluctuations could be monitored in the alternating high values of the first forward differences (FFD) between pilot estimates. In this paper, we analyzed statistically those FFD values and propose a postprocessing algorithm to suppress high fluctuations in the noisy pilot estimates. The proposed method is based on a localized adaptive moving-average filtering. The performance of the proposed technique is verified on a multipath environment suggested on a 3GPP LTE specification. It is shown that the mean-squared error (MSE) between the actual CFR and pilot estimates could be reduced up to 68% from the noisy pilot estimates.