• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2473-2489
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• 2022

Urban development has brought about the increasing saturation of urban traffic demand, and traffic congestion has become the primary problem in transportation. Roads are in a state of waiting in line or even congestion, which seriously affects people's enthusiasm and efficiency of travel. This paper mainly studies the discrete domain path planning method based on the flow data. Taking the traffic flow data based on the highway network structure as the research object, this paper uses the deep learning theory technology to complete the path weight determination process, optimizes the path planning algorithm, realizes the vehicle path planning application for the expressway, and carries on the deployment operation in the highway company. The path topology is constructed to transform the actual road information into abstract space that the machine can understand. An appropriate data structure is used for storage, and a path topology based on the modeling background of expressway is constructed to realize the mutual mapping between the two. Experiments show that the proposed method can further reduce the interpolation error, and the interpolation error in the case of random missing is smaller than that in the other two missing modes. In order to improve the real-time performance of vehicle path planning, the association features are selected, the path weights are calculated comprehensively, and the traditional path planning algorithm structure is optimized. It is of great significance for the sustainable development of cities.

• 한국토양비료학회지
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• 제44권5호
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• pp.878-886
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• 2011

본 연구에서는 레이더파 편파 차이비율에서 얻어진 밴드별 Polarimetric Discrimination Ratio (PDR)와 콩 생육인자 및 토양수분과의 관계를 분석하고 PDR를 이용하여 콩 생육 및 토양수분을 추정하고자 하였다. 기후 등의 영향을 받지 않고 10분 단위로 레이더 산란 측정을 할 수 있는 L, C, X-밴드 레이더 산란계 자동측정시스템을 이용하여 PDR와 콩 생육인자 변화를 모니터링 하였다. 콩 생육시기에 따른 밴드별 PDR과 콩 생육인자 변화를 관측한 결과 L-밴드 PDR이 C-, X-밴드 PDR보다 높게 나타났고, 밴드별 PDR이 가장 높게 보인 시기는 L-밴드PDR (DOY 271), C-, X-밴드 PDR (DOY 273)로 거의 일치하였고, 엽면적지수, 식생수분함량, 생체중, 초장 등 콩생육인자들도 동일한 경향을 보였는데 콩 파종 이후 증가하다가 9월 27일 (DOY 270)에 최대값을 보인 후 감소하였다. 하지만 토양수분은 콩 생육인자들과 다른 경향을 보였다. 생육기간동안 토양수분의 변이가 컸고 PDR과 상관성 도 높지 않았다. 하지만 엽면적지수가 2이하 일 때 콩PDR이 증가함에 따라 토양수분도 증가하는 경향을 보였다. 밴드별 PDR과 콩 생육인자와의 상관관계를 분석하였다. L-밴드 PDR에서 생체중 (r=$0.96^{***}$), 엽면적지수 (r=$0.91^{***}$),식생수분함량 (r=$0.94^{***}$), 토양수분 (r=$0.86^{**}$)등 모든 콩생육인자들과 상관계수가 가장 높게 나타났다. C-, X-밴드 PDR에서도 토양수분을 제외한 다른 인자들과 대체로 상관성이 높았다 ($r{\geq}0.83$). 전체 생육기간에서 PDR과 토양수분과의 상관성은 낮았지만 엽면적지수 2 이하 일 때(DOY 220) 모든 밴드에서 PDR과 토양수분과의 상관계수가 전체 생육단계에서 조사한 것 보다 높게 나타났다. 콩 생육인자들과의 상관분석에서 상관계수가 가장 높은 L-밴드 PDR를 이용하여 콩 생육인자 추정을 위한 회귀식을 작성하고 생육인자 실측값과 추정값을 비교하였다. L-밴드 PDR과 생육인자들과의 관계를 비교해 본 결과 생체중 ($L^2$=0.95), 엽면적지수 ($L^2$=0.89), 식생수분함량 ($L^2$=0.93)에서 결정계수가 높게 나타났고 생육인자 실측값과 추정값을 1:1 선상에서 비교해 본 결과 작은 오차를 보여 추정모형의 유효성이 높다는 것이 증명되었다. 본 연구를 통해 PDR를 이용하여 콩 생육 및 토양수분을 추정할 수 있는 가능성을 확인하였다.

• The Plant Pathology Journal
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• 제27권1호
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• pp.33-36
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• 2011

The genome of a potyvirus isolate associated with chlorotic spots and vein banding symptoms on Spathiphyllum spp., in Andhra Pradesh state, India was amplified by RT-PCR using degenerate potyvirus primers, amplicons cloned, and sequence (1.6 kb) analyzed. This virus isolate shared maximum identity of 74.8% and 80.2% at coat protein (CP) gene nucleotide (906 nucleotides) and amino acid (302 amino acids) levels, respectively with Dasheen mosaic virus (DsMV)-M13 isolate reported from China. But its 3'-UTR (258 nucleotides) had maximum identity of 62.5% with DsMV-Vietnam isolate. The deduced molecular weight of CP is 33.57 kDa and it contained DAG triplet in its N-terminal region. In CP amino acid based phylogenetic analysis, this virus isolate represented a separate branch but closer to DsMV isolates cluster. Based on the molecular criteria set for the discrimination of species and genus in the Potyviridae family, the present virus isolate was identified as a distinct virus species in the genus Potyvirus and proposed the name Spathiphyllum chlorotic vein banding virus (SCVbV).

• Journal of Microbiology and Biotechnology
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• 제29권6호
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• pp.887-896
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• 2019

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based pathogen identification relies on the ribosomal protein spectra provided in the proprietary database. Although these mass spectra can discern various pathogens at species level, the spectra-based method still has limitations in identifying closely-related microbial species. In this study, to overcome the limits of the current MALDI-TOF MS identification method using ribosomal protein spectra, we applied MALDI-TOF MS of low-mass profiling to the identification of two genetically related Bacillus species, the food-borne pathogen Bacillus cereus, and the insect pathogen Bacillus thuringiensis. The mass spectra of small molecules from 17 type strains of two bacilli were compared to the morphological, biochemical, and genetic identification methods of pathogens. The specific mass peaks in the low-mass range (m/z 500-3,000) successfully identified various closely-related strains belonging to these two reference species. The intensity profiles of the MALDI-TOF mass spectra clearly revealed the differences between the two genetically-related species at strain level. We suggest that small molecules with low molecular weight, 714.2 and 906.5 m/z can be potential mass biomarkers used for reliable identification of B. cereus and B. thuringiensis.

• Journal of Information Processing Systems
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• 제19권4호
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• pp.527-539
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• 2023

In the positioning algorithm of two-dimensional planar sensor array, the estimation error of time difference-ofarrival (TDOA) algorithm is difficult to avoid. Thus, how to achieve accurate positioning is a key problem of the positioning technology based on planar array. In this paper, a method of sensor reliability discrimination is proposed, which is the foundation for selecting positioning sensors with small error and excellent performance, simplifying algorithm, and improving positioning accuracy. Then, a positioning model is established. The estimation characteristics of the least square method are fully utilized to calculate and fuse the positioning results, and the non-uniform weighting method is used to correct the weighting factors. It effectively handles the decreased positioning accuracy due to measurement errors, and ensures that the algorithm performance is improved significantly. Finally, the characteristics of the improved algorithm are compared with those of other algorithms. The experiment data demonstrate that the algorithm is better than the standard least square method and can improve the positioning accuracy effectively, which is suitable for vibration detection with large noise interference.

• 대한기계학회논문집B
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• 제27권10호
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• pp.1385-1392
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• 2003

An electromagnetic flowmeter(EMF) was developed and its characteristics were compared with a commercial EMF. The developed EMF was designed as the 100 mm nominal diameter. A signal processing circuit was also developed for generating the magnetic field and converting the flow signal to flowrate and flow quantity. In order to obtain a more stable and reliable flow signal, the double magnetizing frequency was adopted for magnetizing the coil of the EMF. For the characterization of the developed EMF, the uncertainty of calibrator was estimated within $\pm$0.5 %. The evaluation procedure of the uncertainty followed the ISO Guide to the Expression of Uncertainty in Measurement. It was found that the flow signals between the electrodes were about $\pm$60-$\pm$300$\mu$V, which were sufficient for the discrimination of flowmeter and the protection of noise. The test results against the calibrator showed the good linearity in the range of 3 ㎥/h and 70 ㎥/h. A commercialized design of the EMF based on the current study will be technically more competitive in domestic and foreign market.

• 농촌계획
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• 제23권2호
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• pp.1-7
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• 2017

The purpose of this study is to develop a farm management diagnostic checklist form, which can be applied to any crops. First, upper indexes and subordinate indexes were identified through survey with expert, and weighted values for each subordinate index were calculated through AHP analysis. Second, as a reuslt of Analytic Hierarchy Process (AHP) analysis, marketing management (0.276) was found to be the most important index of all upper indexes. In the case of subordinate indexes, reflecting management evaluation (0.252) of management consciousness, quality enhancement efforts (0.332) of production management, locating new sales outlets (0.323) of marketing management, agriculture accounting (0.300) of finance management, and adjusting shipping dates (0.274) of risk management were found to be the highest. Third, the interval division using weight of farm receiving prices was higher discrimination in comparison to equal interval division of weighted values for each index. The newly developed farm management diagnostic checklist can be applied to any crops, as it utilizes indexes such as management consciousness, production management, marketing management, financial management, risk management, etc. based on professional opinions. In addition, it allows an objective evaluation of farm management situations by utilizing the weighted value of farm receiving prices.

• 대한의용생체공학회:의공학회지
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• 제22권4호
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• pp.369-375
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• 2001

The statistical regression model is one of the most frequently used clinical analysis methods. It has basic assumption of linearity, additivity and normal distribution of data. However, most of biological data in medical field are nonlinear and unevenly distributed. To overcome the discrepancy between the basic assumption of statistical model and actual biological data, we propose a new analytical method based on artificial neural network. The newly developed multilayer perceptron(MLP) is trained with 120 data set (60 normal, 60 patient). On applying test data, it shows the discrimination power of 0.76. The diabetic risk factors were also identified from the MLP neural network model and the logistic regression model. The signigicant risk factors identified by MLP model were post prandial glucose level(PP2), sex(male), fasting blood sugar(FBS) level, age, SBP, AC and WHR. Those from the regression model are sex(male), PP2, age and FBS. The combined risk factors can be identified using the MLP model. Those are total cholesterol and body weight, which is consistent with the result of other clinical studies. From this experiment we have learned that MLP can be applied to the combined risk factor analysis of biological data which can not be provided by the conventional statistical method.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.213-219
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• 2023

In recent years, popularity of deep learning (DL) is increased due to its ability to extract features from Hyperspectral images. A lack of discrimination power in the features produced by traditional machine learning algorithms has resulted in poor classification results. It's also a study topic to find out how to get excellent classification results with limited samples without getting overfitting issues in hyperspectral images (HSIs). These issues can be addressed by utilising a new learning network structure developed in this study.EfficientNet-B4-Based Convolutional network (EN-B4), which is why it is critical to maintain a constant ratio between the dimensions of network resolution, width, and depth in order to achieve a balance. The weight of the proposed model is optimized by Search and Rescue Operations (SRO), which is inspired by the explorations carried out by humans during search and rescue processes. Tests were conducted on two datasets to verify the efficacy of EN-B4, with Indian Pines (IP) and the University of Pavia (UP) dataset. Experiments show that EN-B4 outperforms other state-of-the-art approaches in terms of classification accuracy.

• 유통과학연구
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• 제10권5호
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• pp.45-55
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• 2012

본 연구는 현재 국내 택배업체들이 택배이용자들에게 제시하고 있는 '택배요금기준'의 불합리성을 개선하여 합리적인 기준에 의한 요금 수수가 이루어 질수 있도록 하기 위해서 수행되었다. 일반적으로 화물운송임은 화물의 중량이나 부피의 크기를 기본으로 하고 몇 가지의 할인 및 할증의 요소들을 감안하여 책정이 된다. 특히 택배서비스와 같이 공공물류의 성격이 강하고, 불특정 다수가 이용하는 경우에는 요금기준의 합리성이 강하게 요구된다고 할 수 있다. 따라서 택배거래의 기준이 되는 택배요금의 기준이 합리적으로 설정되어 있어야 하는 바, 현재 국내택배업체들이 자체적으로 설정하여 적용하고 있는 택배요금기준이 합리적으로 설정이 되어있는 지에 대하여 분석하였다. 이를 위하여 문헌 및 선행연구들을 통하여 각종 이론을 검토하고 외국의 택배업체들의 요금계산방법, 타운송수단의 운임의 적용기준 등을 검토하였으며 택배화물을 표본조사를 하여 '부피의 크기'기준과 '3변의 합의 크기' 기준 중 어떤 기준이 더 합리적으로 요금의 크기를 나타내고 있는지를 회귀분석을 통하여 분석하였고, 운임 결정의 또 하나의 중요한 요소인 중량의 크기를 어떤 방법이 더 잘 반영하는지를 검토하였다. 연구결과 '부피의 크기'에 의한 화물의 크기결정방법이 현실적으로 요금수준을 합리적으로 설명하고 화물의 중량과의 상관관계도 높게 나타내고 있음을 알 수 있었다. 따라서 현재의 '중량의 크기'와 '3변의 합의 크기'에 따른 요금기준은 '중량의 크기'와 '부피의 크기'기준으로 변경되는 것이 합리적이라는 결론에 도달하였다.