• Title/Summary/Keyword: count model

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Estimating Population Density of Leopard Cat (Prionailurus bengalensis) from Camera Traps in Maekdo Riparian Park, South Korea

  • Park, Heebok;Lim, Anya;Choi, Tae-Young;Lim, Sang-Jin;Park, Yung-Chul
    • Journal of Forest and Environmental Science
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    • v.33 no.3
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    • pp.239-242
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    • 2017
  • Although camera traps have been widely used to understand the abundance of wildlife in recent decades, the effort has been restricted to small sub-set of wildlife which can mark-and-recapture. The Random Encounter Model shows an alternative approach to estimate the absolute abundance from camera trap detection rate for any animals without the need for individual recognition. Our study aims to examine the feasibility and validity of the Random Encounter Model for the density estimation of endangered leopard cats (Prionailurus bengalensis) in Maekdo riparian park, Busan, South Korea. According to the model, the estimated leopard cat density was $1.76km^{-2}$ (CI 95%, 0.74-3.49), which indicated 2.46 leopard cats in $1.4km^2$ of our study area. This estimate was not statistically different from the previous leopard cat population count ($2.33{\pm}0.58$) in the same area. As follows, our research demonstrated the application and usefulness of the Random Encounter Model in density estimation of unmarked wildlife which helps to manage and protect the target species with a better understanding of their status.

An evolutionary hybrid optimization of MARS model in predicting settlement of shallow foundations on sandy soils

  • Luat, Nguyen-Vu;Nguyen, Van-Quang;Lee, Seunghye;Woo, Sungwoo;Lee, Kihak
    • Geomechanics and Engineering
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    • v.21 no.6
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    • pp.583-598
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    • 2020
  • This study is attempted to propose a new hybrid artificial intelligence model called integrative genetic algorithm with multivariate adaptive regression splines (GA-MARS) for settlement prediction of shallow foundations on sandy soils. In this hybrid model, the evolution algorithm - Genetic Algorithm (GA) was used to search and optimize the hyperparameters of multivariate adaptive regression splines (MARS). For this purpose, a total of 180 experimental data were collected and analyzed from available researches with five-input variables including the bread of foundation (B), length to width (L/B), embedment ratio (Df/B), foundation net applied pressure (qnet), and average SPT blow count (NSPT). In further analysis, a new explicit formulation was derived from MARS and its accuracy was compared with four available formulae. The attained results indicated that the proposed GA-MARS model exhibited a more robust and better performance than the available methods.

Identifying the Effects of Drivers' Behavior on Habitual Drunk Driving with Truncated Count Data Model (절단된 가산자료모형을 이용한 상습 음주운전자들의 습관적 음주운전 행태분석)

  • Yang, Si-Hun;Kim, Do-Gyeong
    • Journal of Korean Society of Transportation
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    • v.29 no.5
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    • pp.7-17
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    • 2011
  • Traffic problems caused by drunk drivers have been steadily raised from the past. Even though the previous researches have focused on the development of countermeasures for preventing drunk driving, the number of drivers violating the DUI (Driving-Under-Influence) regulation is still increasing. Many studies seek countermeasures for preventing drunk driving by comparing the differences between general and drunk drivers. However, few researches have investigated focusing only on the characteristics of drunk drivers. It is well known that characteristics of general drivers are different from those of drunk drivers, and also habitual drunk drivers have different characteristics from non-habitual drunk drivers. Motivated by this fact, only the drivers who have violated DUI regulation are considered in the analysis. This study primarily aims to provide alternative solutions for reducing habitual drunk drivers who are highly inclined to do drunk driving repeatedly. For the analysis, various types of variables potentially effecting drunk driving behavior were investigated, and then truncated count data models were developed to analyze the effects of the variables selected on drunk driving. The results showed that 1) a truncated negative binomial model is better fitted to the data; and 2) five variables including experiential learning, the lack of self-control, self-reflection, the fear of crackdown, and the level of dependence on vehicles were found to be statistically significant.

Usefulness Evaluation of Artifacts by Bone Cement of Percutaneous Vertebroplasty Performed Patients and CT Correction Method in Spine SPECT/CT Examinations (척추 뼈 SPECT/CT검사에서 경피적 척추성형술 시행 환자의 골 시멘트로 인한 인공물과 CT보정방법의 유용성 평가)

  • Kim, Ji-Hyeon;Park, Hoon-Hee;Lee, Juyoung;Nam-Kung, Sik;Son, Hyeon-Soo;Park, Sang-Ryoon
    • The Korean Journal of Nuclear Medicine Technology
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    • v.18 no.1
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    • pp.49-61
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    • 2014
  • Purpose: With the aging of the population, the attack rate of osteoporotic vertebral compression fracture is in the increasing trend, and percutaneous vertebroplasty (PVP) is the most commonly performed standardized treatment. Although there is a research report of the excellence of usefulness of the SPECT/CT examination in terns of the exact diagnosis before and after the procedure, the bone cement material used in the procedure influences the image quality by forming an artifact in the CT image. Therefore, the objective of the research lies on evaluating the effect the bone cement gives to a SPECT/CT image. Materials and Methods: The images were acquired by inserting a model cement to each cylinder, after setting the background (3.6 kBq/mL), hot cylinder (29.6 kBq/mL) and cold cylinder (water) to the NEMA-1994 phantom. It was reconstructed with Astonish (Iterative: 4 Subset: 16), and non attenuation correction (NAC), attenuation correction (AC+SC-) and attenuation and scatter correction (AC+SC+) were used for the CT correction method. The mean count by each correction method and the count change ratio by the existence of the cement material were compared and the contrast recovery coefficient (CRC) was obtained. Additionally, the bone/soft tissue ratio (B/S ratio) was obtained after measuring the mean count of the 4 places including the soft tissue(spine erector muscle) after dividing the vertebral body into fracture region, normal region and cement by selecting the 20 patients those have performed PVP from the 107 patients diagnosed of compression fracture. Results: The mean count by the existence of a cement material showed the rate of increase of 12.4%, 6.5%, 1.5% at the hot cylinder of the phantom by NAC, AC+SC- and AC+SC+ when cement existed, 75.2%, 85.4%, 102.9% at the cold cylinder, 13.6%, 18.2%, 9.1% at the background, 33.1%, 41.4%, 63.5% at the fracture region of the clinical image, 53.1%, 61.6%, 67.7% at the normal region and 10.0%, 4.7%, 3.6% at the soft tissue. Meanwhile, a relative count reduction could be verified at the cement adjacent part at the inside of the cylinder, and the phantom image on the lesion and the count increase ratio of the clinical image showed a contrary phase. CRC implying the contrast ratio and B/S ratio was improved in the order of NAC, AC+SC-, AC+SC+, and was constant without a big change in the cold cylinder of the phantom. AC+SC- for the quantitative count, and AC+SC+ for the contrast ratio was analyzed to be the highest. Conclusion: It is considered to be useful in a clinical diagnosis if the application of AC+SC+ that improves the contrast ratio is combined, as it increases the noise count of the soft tissue and the scatter region as well along with the effect of the bone cement in contrast to the fact that the use of AC+SC- in the spine SPECT/CT examination of a PVP performed patient drastically increases the image count and enables a high density of image of the lesion(fracture).

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ANALYSIS OF NEIGHBOR-JOINING BASED ON BOX MODEL

  • Cho, Jin-Hwan;Joe, Do-Sang;Kim, Young-Rock
    • Journal of applied mathematics & informatics
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    • v.25 no.1_2
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    • pp.455-470
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    • 2007
  • In phylogenetic tree construction the neighbor-joining algorithm is the most well known method which constructs a trivalent tree from a pairwise distance data measured by DNA sequences. The core part of the algorithm is its cherry picking criterion based on the tree structure of each quartet. We give a generalized version of the criterion based on the exact box model of quartets, known as the tight span of a metric. We also show by experiment why neighbor-joining and the quartet consistency count method give similar performance.

Verification about the HEMU Pantograph Performance of the Dynamics Behaviors (차세대고속전철용 판토그라프에 대한 성능 검증)

  • Kim, Ki-Nam;Cho, Yong-Hyeon;Ko, Tae-Hwan;Jang, Hyeon-Mog
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.3019-3026
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    • 2011
  • The pantograph on HEMU400 perform the simulation of following characteristics for pantograph's performance prediction and confirming the EN50119's requirement. To meet the performance requirements for the input data are proposed. Simulation result of the performance requirements are satisfied from proposed input data. The new model was developed by proposed data base on the simulation result. A new developed model data used in following characteristics meet to be sure about what the test was done to count the equivalence of mass. Depending on the results of test to performance prediction, and propose research directions.

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Random Waypoint Mobility Model for UAV Group Reconnaissance based on Regional Arrival Count (영역별 탐색수를 고려한 그룹 무인기 정찰용 Random Waypoint 이동성 모델)

  • Jo, Yong-Il;Jung, Yong-Min;Ha, Ok-Kyoon;Kim, Kyong Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.7-8
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    • 2016
  • Ad-hoc 네트워크 기술이 발달함에 따라 FANET(Flying Ad-Hoc Notworks)을 이용한 그룹 무인기 정찰이 요구되고 있다. 본 논문에서는 자율비행을 위한 효율적인 그룹 무인기 정찰을 위하여 새로운 이동성 모델을 제안한다. 제안하는 모델은 Random Waypoint에 기반 하는 모델로써 정찰되지 않은 구역의 선택 확률을 높여 균형적 탐색을 유도한다. 시뮬레이션을 이용하여 제안하는 모델이 기존의 Random Waypoint 에 비해 80% 정찰비율 시간 향상 면에서 우수함을 보인다.

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A DELAY DYNAMIC MODEL FOR HIV INFECTED IMMUNE RESPONSE

  • BERA, S.P.;MAITI, A.;SAMANTA, G.P.
    • Journal of applied mathematics & informatics
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    • v.33 no.5_6
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    • pp.559-578
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    • 2015
  • Human Immune Deficiency Virus (or simply HIV) induces a persistent infection that leads to AIDS causing death in almost every infected individual. As HIV affects the immune system directly by attacking the CD4+ T cells, to exterminate the infection, the natural immune system produces virus-specific cytotoxic T lymphocytes(CTLs) that kills the infected CD4+ T cells. The reduced CD4+ T cell count produce reduced amount of cytokines to stimulate the production of CTLs to fight the invaders that weakens the body immunity succeeding to AIDS. In this paper, we introduce a mathematical model with discrete time-delay to represent this cell dynamics between CD4+ T cells and the CTLs under HIV infection. A modified functional form has been considered to describe the infection mechanism. Characteristics of the system are studied through mathematical analysis. Numerical simulations are carried out to illustrate the analytical findings.

Analysis of Drag Measurements on T-50 Aircraft Model Wind Tunnel Testing (T-50 항공기모델 풍동시험에서의 항력측정 연구)

  • Kim, Hyung-Kook;Yang, Hee-Don;Lee, Il-Woo
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.1564-1568
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    • 2004
  • The requirements of internal balance were studied that should be considered on performing force & moment transonic wind tunnel testing to develop combat aircraft. In many insecure factors of test condition, uncertainty analysis was conducted to verify one drag count measurements. The analysis result was applied to T-50 aircraft model and compared for data verifaction. In conclusion, the aerodynamicist should estimate the validation and accuracy of test data by having an overall grasp of system components including internal balance. It will help him get high productivity of testing and effective validated data at tunnel.

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Analysis of counts in the one-way layout (일원배열 가산자료에서의 처리효과 비교)

  • 이선호
    • The Korean Journal of Applied Statistics
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    • v.10 no.1
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    • pp.105-119
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    • 1997
  • Barnwal and Paul(1988) derived the likelihood ratio statistic and $C(\alpha)$ statistic for testing the equality of the means of several groups of count data in the presence of a common dispersion parameter. These tests are generalized to be applicable without the restriction of a common dispersion parameter. And the assumed model of data is also extended from negative binomial to double exponential Poisson model. Monte Carlo simulations show the superiority of $C(\alpha)$ statistic based on the double exponential Poisson family which has a very simple form and requires estimates of the parameters only under the null hypothesis.

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