• Title/Summary/Keyword: Data gap analysis

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Study on The Warranty of Opposing Through Flow Gap Acceptance Time for more Efficient Management of Permissive Left-Turn (비보호 좌회전 효율성 제고를 위한 대향 직진 교통류의 Gap-Time기준 연구)

  • Baik, Seung-Yup;Park, Ki-Soo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.4
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    • pp.107-115
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    • 2011
  • Since 2009 The Korean National Police Agency has been pushed "permissive left-turn" forward in order to making progress in Korean traffic operations system. Preceding researches manuals and guidelines present 6 standards(# of accidents # of lanes, pedestrian volume sight # of permissive left-turn lanes vehicle volume) as installation permissive left-turn. But in practical affairs it is most important that secure enough Gap-time between permissive left-turn vehicle and opposite through lane vehicle to make permissive left-turn vehicle move safer and more efficiently. This study suggests applying gap acceptance theory in microscopic model to permissive left-turn installation standards. Analysis methods of this study are field data survey statistical analysis and microscopic simulation analysis. This study collected field data by using AVI recording and measured permissive left-turn vehicle intersection passing time(T1) and against the opposite through lane vehicle Gap-time(T2). And statistical analysis performed about two values that measured before to predict the functionality between T1 and T2. These studies to overcome the limit of sample size carried out a microscopic simulation(VISSIM) plan and collect more samples to input statistical analysis.

Development of Gap Acceptance Models for Permitted Left Turn Intersections during Rainfall (우천시 비보호좌회전에서의 간격수락 행태모형 개발)

  • Hwang, Soon Cheon;Lee, Chungwon;Lee, Dong Min
    • International Journal of Highway Engineering
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    • v.19 no.4
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    • pp.61-68
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    • 2017
  • PURPOSES : A complete signal system is not always the best solution for improving traffic operation efficiency at intersections. An alternative solution is to use a Protected Permitted Left Turn (PPLT) operation method. However, the PPLT method needs to be developed after a detailed study of driving tendencies, most notably the gap acceptance behavior, for successful implementation. In this study, the gap acceptance behavior was investigated under various variables and weather conditions, especially under rain, and the results were compared to the case of normal weather. The results of this study will be helpful in introducing the PPLT method, and are important considering the tendency of attempting unprotected left turns that is extremely common in Korean drivers. METHODS : Data was obtained by analyzing traffic footage at four intersections on a day when the precipitation was greater than 5 mm/h. The collected data was classified into seven variables for statistical analysis. Finally, we used logistic regression analysis to develop a probability distribution model. RESULTS : Gap, traffic volume, and the number of conflicting lanes were factors affecting the gap acceptance behavior of unprotected left turns under rainy conditions. CONCLUSIONS : The probability of attempting unprotected left turns is higher for larger gaps. On the other hand, the probability of attempting unprotected left turns decreases with an increase in the traffic volume. Finally, an increase in the number of conflict lanes leads to a decrease in the probability of attempting unprotected left turns.

Utilizing Machine Learning Algorithms for Recruitment Predictions of IT Graduates in the Saudi Labor Market

  • Munirah Alghamlas;Reham Alabduljabbar
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.113-124
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    • 2024
  • One of the goals of the Saudi Arabia 2030 vision is to ensure full employment of its citizens. Recruitment of graduates depends on the quality of skills that they may have gained during their study. Hence, the quality of education and ensuring that graduates have sufficient knowledge about the in-demand skills of the market are necessary. However, IT graduates are usually not aware of whether they are suitable for recruitment or not. This study builds a prediction model that can be deployed on the web, where users can input variables to generate predictions. Furthermore, it provides data-driven recommendations of the in-demand skills in the Saudi IT labor market to overcome the unemployment problem. Data were collected from two online job portals: LinkedIn and Bayt.com. Three machine learning algorithms, namely, Support Vector Machine, k-Nearest Neighbor, and Naïve Bayes were used to build the model. Furthermore, descriptive and data analysis methods were employed herein to evaluate the existing gap. Results showed that there existed a gap between labor market employers' expectations of Saudi workers and the skills that the workers were equipped with from their educational institutions. Planned collaboration between industry and education providers is required to narrow down this gap.

Statistical analysis of recurrent gap time events with incomplete observation gaps (불완전한 관측틈을 가진 재발 사건 소요시간에 대한 자료 분석)

  • Shin, Seul Bi;Kim, Yang Jin
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.2
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    • pp.327-336
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    • 2014
  • Recurrent event data occurs when a subject experiences same type of event repeatedly and is found in various areas such as the social sciences, Economics, medicine and public health. To analyze recurrent event data either a total time or a gap time is adopted according to research interest. In this paper, we analyze recurrent event data with incomplete observation gap using a gap time scale. That is, some subjects leave temporarily from a study and return after a while. But it is not available when the observation gaps terminate. We adopt an interval censoring mechanism for estimating the termination time. Furthermore, to model the association among gap times of a subject, a frailty effect is incorporated into a model. Programs included in Survival package of R program are implemented to estimate the covariate effect as well as the variance of frailty effect. YTOP (Young Traffic Offenders Program) data is analyzed with both proportional hazard model and a weibull regression model.

Synthesis and Band Gap Analysis of Meso-Arylporphyrins Containing Exclusively Electron Donating or Withdrawing Groups

  • Min Su Kang;Kwang-Jin Hwang
    • Journal of the Korean Chemical Society
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    • v.67 no.3
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    • pp.175-180
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    • 2023
  • Tetra-aryl substituted A4-type porphyrins (TP, TD, TA) and trans-A2B2 porphyrins (DDP1, AAP1) with electron-donating or withdrawing groups were synthesized. The band gap energy of those porphyrins was calculated from their UV-Vis spectra and CV data. With an electron-withdrawing group, the band gap energy of porphyrin TA increased via the LUMO energy up. Meanwhile, the introduction of an electron-donating group decreased the band gap of porphyrin by HOMO level up as as in the case of porphyrin TD. The band gap (2.19-2.28 eV) of metalloporphyrin PP-Ni was greater than those (1.81-2.06 eV) of non-metalloporphyrins PP due to the LUMO level up.

A point-scale gap filling of the flux-tower data using the artificial neural network (인공신경망 기법을 이용한 청미천 유역 Flux tower 결측치 보정)

  • Jeon, Hyunho;Baik, Jongjin;Lee, Seulchan;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.53 no.11
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    • pp.929-938
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    • 2020
  • In this study, we estimated missing evapotranspiration (ET) data at a eddy-covariance flux tower in the Cheongmicheon farmland site using the Artificial Neural Network (ANN). The ANN showed excellent performance in numerical analysis and is expanding in various fields. To evaluate the performance the ANN-based gap-filling, ET was calculated using the existing gap-filling methods of Mean Diagnostic Variation (MDV) and Food and Aggregation Organization Penman-Monteith (FAO-PM). Then ET was evaluated by time series method and statistical analysis (coefficient of determination, index of agreement (IOA), root mean squared error (RMSE) and mean absolute error (MAE). For the validation of each gap-filling model, we used 30 minutes of data in 2015. Of the 121 missing values, the ANN method showed the best performance by supplementing 70, 53 and 84 missing values, respectively, in the order of MDV, FAO-PM, and ANN methods. Analysis of the coefficient of determination (MDV, FAO-PM, and ANN methods followed by 0.673, 0.784, and 0.841, respectively.) and the IOA (The MDV, FAO-PM, and ANN methods followed by 0.899, 0.890, and 0.951 respectively.) indicated that, all three methods were highly correlated and considered to be fully utilized, and among them, ANN models showed the highest performance and suitability. Based on this study, it could be used more appropriately in the study of gap-filling method of flux tower data using machine learning method.

A Study of the Perception Gap on Nursing Service between Consumers and Providers (간호서비스 질에 대한 소비자와 제공자의 지각차이에 관한 분석)

  • 이미애
    • Journal of Korean Academy of Nursing
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    • v.31 no.5
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    • pp.871-884
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    • 2001
  • this study was to investigate the perception gap on nursing service between consumers and providers. Method: the questionnaire founded on the SERVQUAL was developed and distributed to 300 patients and 210 nurses at the three subjected general hospitals in three provincial city, Korea during February to March, 2001. For data analysis, Cronbachs' Alpha, frequency, t-test, and paired t-test were used. Result: 1. In the gap analysis on the 20 properties constituting nursing service, providers almost all perceived higher than consumer in quality. Among them, the number of properties being statistically significant was 7 in the expectation, 18 in the important and 7 in the performance. 2. In the comparison analysis of the perception gap on the expectation-performance and the important-performance, it turned out that the subjected hospitals had to improve their equipment and facilities immediately. It was suggested a good strategy to strengthen the responsiveness factor and the assurance factor of nursing service. Conclusion: it could be concluded that nurses have to recognize the blind spot of their perception and endeavor to take away the perception gap between consumers and providers.

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The effects of farmers and fishers' digital information utilization level on Life satisfaction: Focusing on mediating effects of digital device use attitude (농어민의 디지털 정보 활용 수준이 삶의 만족도에 미치는 영향: 디지털기기 이용 태도를 매개변수로)

  • Jeon, Bong Chun;Yoon, Han Sung
    • The Journal of Information Systems
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    • v.33 no.1
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    • pp.69-90
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    • 2024
  • Purpose In this paper, among the four information vulnerable groups(disabled, elderly, low-income, farmers and fishermen), the mediating effect of digital device usage attitudes in the effect of digital information utilization level of farmers and fishermen with a large digital information gap with the general public on life satisfaction was verified. Design/methodology/approach This study summarizes existing research related to the digital information gap between farmers and fishermen, and the empirical analysis is based on hierarchical regression analysis based on the 2022 Digital Information Gap Report (survey data on 2,200 farmers and fishermen) published by the Korea Intelligence Information Society Promotion Agency. Among the four major information vulnerable groups (the disabled, the elderly, low-income groups, and farmers and fishermen), attitudes toward using digital devices were examined in terms of the impact of the level of digital information use on life satisfaction among farmers and fishermen, who have a relatively large digital information gap with the general public. It was verified as a mediating effect. Findings As a result of the empirical analysis, attitudes toward the use of digital devices were found to play a mediating role in the impact of the level of digital information use on life satisfaction.

Analysis of Recurrent Gap Time Data with a Binary Time-Varying Covariate

  • Kim, Yang-Jin
    • Communications for Statistical Applications and Methods
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    • v.21 no.5
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    • pp.387-393
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    • 2014
  • Recurrent gap times are analyzed with diverse methods under several assumptions such as a marginal model or a frailty model. Several resampling techniques have been recently suggested to estimate the covariate effect; however, these approaches can be applied with a time-fixed covariate. According to simulation results, these methods result in biased estimates for a time-varying covariate which is often observed in a longitudinal study. In this paper, we extend a resampling method by incorporating new weights and sampling scheme. Simulation studies are performed to compare the suggested method with previous resampling methods. The proposed method is applied to estimate the effect of an educational program on traffic conviction data where a program participation occurs in the middle of the study.

A Critical Gap Model for Roundabouts in Korea (국내 회전교차로의 임계간격 모형)

  • Kim, Tae-Young;Park, Min-Kyu;Park, Byung-Ho
    • Journal of Korean Society of Transportation
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    • v.30 no.2
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    • pp.93-100
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    • 2012
  • This study dealt with the critical gap of roundabouts in Korea. The objective was to develop a model to derive critical gaps by analyzing gap acceptance patterns. In this context, the present study had a particular emphasis on collecting the data for accepted or rejected gaps. The main contributions of the study were as follows. First, accepted or rejected gaps were counted and measured through video frame analysis on the traffic patterns of 20 roundabouts in Korea. Based on the data, a gap acceptance model, guaranteeing the statistical significant in their parameters, was developed in the framework of the Logit model. Second, the critical gap calculated from the developed model was evaluated to be 2.584 seconds as a whole. Also, the critical gap in urban areas was estimated to be 2.744 seconds, whilst the critical gap in rural areas was estimated to be 2.416 seconds. Finally, critical gaps of roundabout in Korea were found to be smaller than those in foreign countries by about 1.5~2.5 seconds.