• Title/Summary/Keyword: Multiple hypothesis technique

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Development of a Map Matching Method for Land Vehicles Navigation (차량 항법을 위한 지도 정합법 개발)

  • Sung Tae-Kyung;Pyo Jong-Sun
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.4 s.304
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    • pp.1-10
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    • 2005
  • This paper presents a map matching method using multiple hypothesis technique(MHT) to identify the road that a land vehicle is located on. To realize a map matching method using MHT, Pseudo-measurements are generated utilizing adjacent roads of GPS/DR position and the MHT is reformulated as a single target problem. Since pseudo-measurements are generated using digital map, topological properties such as road connection, direction, and road facility information are considered in calculating probabilities of hypotheses. In order to improve the map matching performance under when bias errors exist in digital road map data, a Kalman filter is employed to estimate the biases. Field experimental results show that the proposed map matching method provides the consistent performance even in complex downtown areas, overpass/underpass areas, and in the areas where roads are adjacent in parallel.

A Study on the Relationships between Family Support, Compliance and Life Satisfaction in Chronic Arthritis (만성관절염환자의 가족지지, 치료지시이행 및 삶의 만족간의 관계연구)

  • 최혜경
    • Journal of Korean Academy of Nursing
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    • v.17 no.3
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    • pp.218-226
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    • 1987
  • This descriptive-correlational study was undertaken in order to examine if there were relationships between family support, compliance and life satisfaction in chronic arthritis patients. The sampling method was a non-probability, purposive sampling technique. The participants of this study were 92 volunteer adults. 1) who have been diagnosed as having chronic arthritis and 2) who were at the medical out patient clinic of one university hospital in Seoul between April 27th to May 12th 1987. The instruments used for this study were the Family Support Scale developed by Kang Hyun Sook, a Compilance Scale developed by the researcher and the Life-Satisfaction Index-Z developed by Wood et.al. Analysis of data was done using t-test, ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression Analysis. The results of study were as follows; Hypothesis I; “The higher the family support, the higher the compliance” was accepted. (r=.2604, p<.01) Hypothesis II; “The higher the compliance, the higher the life satisfaction,” was rejected. (r=.1663, p>0.5) Hypothesis III; “The higher the family support, the higher the life satisfaction” was accepted. (r=.3914, p<.01) In addition, by using Stepwise Multiple Regression Analysis it was determined that the main influencing factors on the life satisfaction were family support, the number of inflammatory joints, compliance and pain level. These 4 main variables made it possible to explain 30.8% of the variance in life satisfaction. In conclusion, this study revealed that family support is an important factor that can improve compliance and life satisfaction in chronic arthritis patients.

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Building a Sentential Model for Automatic Prosody Evaluation

  • Yoon, Kyu-Chul
    • Phonetics and Speech Sciences
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    • v.1 no.4
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    • pp.47-59
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    • 2009
  • The purpose of this paper is to propose an automatic evaluation technique for the prosodic aspect of an English sentence uttered by Korean speakers learning English. The underlying hypothesis is that the consistency of the manual prosody scoring is reflected in an imaginary space of prosody evaluation model constructed out of the three physical properties of the prosody considered in this paper, namely: the fundamental frequency (F0) contour, the intensity contour, and the segmental durations. The evaluation proceeds first by building a prosody evaluation model for the sentence. For the creation of the model, utterances from native speakers of English and Korean learners for the target sentence are manually scored by either native teachers of English or Korean phoneticians in terms of their prosody. Multiple native utterances from the manual scoring are selected as the "model" native utterances against which all the other Korean learners' utterances as well as the model utterances themselves can be semi-automatically evaluated by comparison in terms of the three prosodic aspects [7]. Each learner utterance, when compared to the multiple model native utterances, produces multiple coordinates in a three-dimensional space of prosody evaluation, each axis of which corresponds to the three prosodic aspects. The 3D coordinates from all the comparisons form a prosody evaluation model for the particular sentence and the associated manual scores can display regions of particular scores. The model can then be used as a predictive model against which other Korean utterances of the target sentence can be evaluated. The model from a Korean phonetician appears to support the hypothesis.

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Asynchronous Multilevel Search Strategy for Fast Acquisition of AltBOC Signals

  • Kim, Binhee;Kong, Seung-Hyun
    • Journal of Positioning, Navigation, and Timing
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    • v.4 no.4
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    • pp.161-171
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    • 2015
  • Alternative binary offset carrier (AltBOC) signals can be approximated by four synchronized direct sequence spread spectrum (DSSS) signals, each pair of which is a quadrature phase shift keyed (QPSK) signal at a different frequency. Therefore, depending on the strength of an incoming AltBOC signal, an acquisition technique can reduce the mean acquisition time (MAT) by searching the four DSSS signals asynchronously; the search for each of the four DSSS signals can start at one of the evenly separated hypotheses on the two-dimensional hypothesis space. And detection sensitivity can be improved by multiple levels when different numbers of search results for the same hypothesis are combined. In this paper, we propose a fast AltBOC acquisition technique that has an asynchronous search strategy and efficiently utilizes the output of the four search results to increase the sensitivity level when sensitivity improvement is needed. We provide a complete theoretical analysis and demonstrate with numerous Monte Carlo simulations that the MAT of the proposed technique is much smaller than conventional AltBOC acquisition techniques.

Environmental Performance and Environmental Disclosure: The Role of Financial Performance

  • IFADA, Luluk Muhimatul;INDRIASTUTI, Maya;IBRANI, Ewing Yuvisa;SETIAWANTA, Yulita
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.349-362
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    • 2021
  • This study aims to examine the effect of environmental performance, independent board of commissioners, and firm size on environmental disclosure measured by the Indonesian environmental index. The population in this study is manufacturing and coal mining companies that follow "PROPER" and are listed on the Indonesia Stock Exchange (IDX) from 2017 to 2019. This research was conducted by reviewing annual reports to collect information on environmental disclosures. The sampling used in this study was purposive sampling technique and obtained a sample of 117. Also, the data analysis technique used was multiple linear regression analysis with statistical hypothesis testing. The results showed that environmental performance and firm size had a positive effect on financial performance. Meanwhile, the independent board of commissioners does not affect financial performance. Furthermore, environmental performance, firm size, and financial performance have a positive effect on environmental disclosure. While the independent board of commissioners does not affect environmental disclosure. The findings of this research suggest that environmental performance has a significant positive effect on financial performance. The hypothesis is accepted, meaning that companies that are sensitive to environmental problems and run eco-efficiency operations will strengthen the company's profitability.

Federated Variable Dimension Kalman Filters with Input Estimation for Maneuvering Target Tracking (기동하는 표적의 추적을 위한 연합형 가변차원 입력추정필터)

  • Hwang-bo, Seong-Wook;Hong, Keum-Shik;Choi, Sung-Lin;Choi, Jae-Won
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.6
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    • pp.764-776
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    • 1999
  • In this paper, a tracking algorithm for a maneuvering single target in the presence of multiple data from multiple sensors is investigated. Allowing individual sensors to function by themselves, the estimates from individual sensors on the same target are fused for the purpose of improving the state estimate. The filtering method adopted in the local sensors is the variable dimensional filter with input estimatio technique, which consists of a constant velocity model and a constant acceleration model. A posteriori probability for the maneuvering hypothesis is newly derived. It is shown that the relation function of the a posteriori probability is a function of only the covariance of the fused estimates. Simulation results are provided.

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Comparisons on Relative Growth of Red Pine, Black Pine and Pitch Pine by Means of Multiple Regression (다중회귀분석법에 의한 소나무, 곰솔 및 리기다소나무의 상대성장 비교)

  • Park, Man-Choon;Lee, Yun-Keun;Choi, Kee-Ryong
    • Journal of Environmental Science International
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    • v.19 no.3
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    • pp.305-312
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    • 2010
  • The purpose of this study is to compare the relative growth of annual ring width of red pine(Pinus densiflora), black pine(Pinus thunbergii) and pitch pine(Pinus rigida) by means of multiple regression method according to Graybill hypothesis. The obtained results are as follows. 1. The changes of rainfall have affected to tree growth during the periods of 1975 through 1978. 2. Among these pine trees, red pine was mostly influenced by environmental factors. 3. The growth of annual ring width was sensitively responded to the changes of rainfall and air temperature. 4. Among the heavy metals analyzed, the concentrations(ppm) of Lead(Pb) and Copper(Cu) were negatively effected on the growth of annual ring width of pine trees. 5. The analytical technique of annual ring width may be useful for estimation of the pollution in forest areas near industrial complexes.

Comparative study: nonsynonymous and synonymous substitution of SARS-CoV-2, SARS-CoV, and MERS-CoV genome

  • Sohpal, Vipan Kumar
    • Genomics & Informatics
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    • v.19 no.2
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    • pp.15.1-15.7
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    • 2021
  • The direction of evolution can estimate based on the variation among nonsynonymous to synonymous substitution. The simulative study investigated the nucleotide sequence of closely related strains of respiratory syndrome viruses, codon-by-codon with maximum likelihood analysis, z selection, and the divergence time. The simulated results, dN/dS > 1 signify that an entire substitution model tends towards the hypothesis's positive evolution. The effect of transition/transversion proportion, Z-test of selection, and the evolution associated with these respiratory syndromes, are also analyzed. Z-test of selection for neutral and positive evolution indicates lower to positive values of dN-dS (0.012, 0.019) due to multiple substitutions in a short span. Modified Nei-Gojobori (P) statistical technique results also favor multiple substitutions with the transition/transversion rate from 1 to 7. The divergence time analysis also supports the result of dN/dS and imparts substantiating proof of evolution. Results conclude that a positive evolution model, higher dN-dS, and transition/transversion ratio significantly analyzes the evolution trend of severe acute respiratory syndrome coronavirus 2, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus.

Multi-Sensor Multi-Target Passive Locating and Tracking

  • Liu, Mei;Xu, Nuo;Li, Haihao
    • International Journal of Control, Automation, and Systems
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    • v.5 no.2
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    • pp.200-207
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    • 2007
  • The passive direction finding cross localization method is widely adopted in passive tracking, therefore there will exist masses of false intersection points. Eliminating these false intersection points correctly and quickly is a key technique in passive localization. A new method is proposed for passive locating and tracking multi-jammer target in this paper. It not only solves the difficulty of determining the number of targets when masses of false intersection points existing, but also solves the initialization problem of elastic network. Thus this method solves the problem of multi-jammer target correlation and the elimination of static false intersection points. The method which dynamically establishes multiple hypothesis trajectory trees solves the problem of eliminating the remaining false intersection points. Simulation results show that computational burden of the method is lower, the elastic network can more quickly find all or most of the targets and have a more probability of locking the real targets. This method can eliminate more false intersection points.

Optimal Evasive Maneuver for Sea Skimming Missiles against Close-In Weapon System (근접방어무기체계에 대한 함대함 유도탄의 최적회피기동)

  • Whang, Ick-Ho
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2096-2098
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    • 2002
  • In this paper, the optimal evasive maneuver strategies for typical subsonic ASM(anti-ship missile) to reach its target ship with high survivability against CIWS(close in weapon system) are studied. The optimal evasive maneuver input is defined by the homing command optimizing the cost function which takes aiming errors of CIWS into account. The optimization problem for the effective evasive maneuver is formulated based on a simple missile dynamics model and a CIWS model. By means of solving the problem, a multiple hypotheses testing method is proposed. Since this method requires generation of too many hypotheses, the hypothesis-pruning technique is adopted. The solution shows that the optimal evasive maneuver is a bang-bane shaped command whose frequency is varied by the aimpoint determination strategy in CIWS.

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