Regional and Longitudinal Estimation of Product Lifespan Distribution: A Case Study for Automobiles and a Simplified Estimation Method

2015 ◽  
Vol 49 (3) ◽  
pp. 1738-1743 ◽  
Author(s):  
Masahiro Oguchi ◽  
Masaaki Fuse
Keyword(s):  
Estimation Method ◽  
Lifespan Distribution ◽  
Product Lifespan

Evolution of Product Lifespan and Implications for Environmental Assessment and Management: A Case Study of Personal Computers in Higher Education

2009 ◽  
Vol 43 (13) ◽  
pp. 5106-5112 ◽  
Author(s):  
Callie W. Babbitt ◽  
Ramzy Kahhat ◽  
Eric Williams ◽  
Gregory A. Babbitt
Keyword(s):  
Higher Education ◽  
Environmental Assessment ◽  
Personal Computers ◽  
Product Lifespan

Creating Musical Cadences via Conceptual Blending

2017 ◽  
Vol 35 (2) ◽  
pp. 211-234 ◽  
Author(s):  
Asterios Zacharakis ◽  
Maximos Kaliakatsos-Papakostas ◽  
Costas Tsougras ◽  
Emilios Cambouropoulos
Keyword(s):  
Cognitive Theory ◽  
Categorical Perception ◽  
Empirical Evaluation ◽  
Estimation Method ◽  
Optimality Criteria ◽  
The Novel ◽  
Conceptual Blending ◽  
Magnitude Estimation Method ◽  
Selection Of

The cognitive theory of conceptual blending may be employed to understand the way music becomes meaningful and, at the same time, it may form a basis for musical creativity per se. This work constitutes a case study whereby conceptual blending is used as a creative tool for inventing musical cadences. Specifically, the perfect and the renaissance Phrygian cadential sequences are used as input spaces to a cadence blending system that produces various cadential blends based on musicological and blending optimality criteria. A selection of “novel” cadences is subject to empirical evaluation in order to gain a better understanding of perceptual relationships between cadences. Pairwise dissimilarity ratings between cadences are transformed into a perceptual space and a verbal attribute magnitude estimation method on six descriptive axes (preference, originality, tension, closure, expectancy, and fit) is used to associate the dimensions of this space with descriptive qualities (closure and tension emerged as the most prominent qualities). The novel cadences generated by the computational blending system are mainly perceived as single-scope blends (i.e., blends where one input space is dominant), since categorical perception seems to play a significant role (especially in relation to the upward leading note movement). Insights into perceptual aspects of conceptual bending are presented and ramifications for developing sophisticated creative systems are discussed.

Case Study of Crash Severity Spatial Pattern Identification in Hot Spot Analysis

2019 ◽  
Vol 2673 (9) ◽  
pp. 684-695 ◽  
Author(s):  
Myungwoo Lee ◽  
Aemal J. Khattak
Keyword(s):  
Density Estimation ◽  
Motor Vehicle ◽  
Safety Concern ◽  
Hot Spot ◽  
Estimation Method ◽  
Spatial Relationship ◽  
Crash Severity ◽  
Hot Spot Analysis ◽  
Spot Analysis

Traffic crash hot spot analyses allow identification of roadway segments that may be of safety concern. Understanding geographic patterns of existing motor vehicle crashes is one of the primary steps for geostatistical-based hot spot analysis. Much of the current literature, however, has not paid particular attention to differentiating among cluster types based on crash severity levels. This study aims at building a framework for identifying significant spatial clustering patterns characterized by crash severity and analyzing identified clusters quantitatively. A case study using an integrated method of network-based local spatial autocorrelation and the Kernel density estimation method revealed a strong spatial relationship between crash severity clusters and geographic regions. In addition, the total aggregated distance and the density of identified clusters obtained from density estimation allowed a quantitative analysis for each cluster. The contribution of this research is incorporating crash severity into hot spot analysis thereby allowing more informed decision making with respect to highway safety.

How to Estimate Security – Problem Analysis

2020 ◽  
Vol 33 (33) ◽  
pp. 217-240
Author(s):  
Grzegorz Pilarski
Keyword(s):  
Terrorist Attack ◽  
Estimation Method ◽  
Research Problem ◽  
Decision Makers ◽  
Security Level ◽  
Problem Analysis ◽  
Short Period ◽  
Security Problem ◽  
Descriptive Method

Background: The article presents a method of estimating the security level which indicates how probable it is for a phenomenon to occur. Objectives: The author attempts to answer the question: How do we estimate security? Decision makers usually need percentage showing the probability of an incident taking place in the future. This information is needed in the first place, later decision makers can use more descriptive information. Methods: The research problem concerns the assessment of security using the estimation method. Depicting security in numbers is difficult, thus the descriptive method is also usually applied. The estimation method facilitates the assessment. It is helpful since it is partly done by calculation and partly by guessing or approximation. Based on a case study analysing whether a terrorist attack may occur, the author also used tools such as averaging expert predictions, scenario analysis and risk analysis. Results: This article provides a view on forecasting security, which results in a method of estimating the level of security. Conclusions: The author presents an approach which allows to initially estimate the security level of the analyzed phenomenon in a relatively short period of time.

An estimation method for regional transport contributions from emission sources based on a high-mountain site: a case study in Zhumadian, China

2021 ◽  
pp. 118664
Author(s):  
Haiyan Huang ◽  
Baoshuang Liu ◽  
Sen Li ◽  
Tong-Hyok Choe ◽  
Qili Dai ◽  
...  
Keyword(s):  
Estimation Method ◽  
High Mountain ◽  
Emission Sources ◽  
Regional Transport ◽  
Mountain Site

scholarly journals Analytical Solutions for Steady-State Multiwell Aquifer Tests in Rectangular Aquifers by Using Double Fourier Transform: A Case Study in the Ordos Plateau, China

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jun-Zhi Wang ◽  
Xu-Sheng Wang ◽  
Qing-Bo Li ◽  
Wei-Feng Wan
Keyword(s):  
Fourier Transform ◽  
Steady State ◽  
Analytical Solutions ◽  
Estimation Method ◽  
Least Square ◽  
Ordos Plateau ◽  
Aquifer Systems ◽  
Aquifer Test ◽  
Double Fourier Transform

Straightforward solutions have long been expected for the analysis of multiwell aquifer tests. In this paper, we derive series analytical solutions of steady-state groundwater flow in a rectangular-shaped aquifer with pumping/injection wells for both confined and unconfined conditions. Double Fourier Transform (DFT) technique is applied to deal with different combinations of impermeable and specified head boundaries on sides. The obtained solutions are compact and concise in mathematics and flexible in terms of well number, well locations, and pumping/injection rates. Hatoucaidang, a groundwater resource field in the Ordos Plateau, Northwestern China, is introduced as a field case study, where a multiwell aquifer test was conducted. One of the analytical solutions derived herein is used to estimate hydraulic conductivities by applying a direct calculation method and a least square estimation method regarding observed versus calculated drawdowns. By comparing with nearby single-well pumping tests, the reliability of the derived analytical solutions is proven. This study facilitates utilizing the multiwell aquifer test to analyze the general behavior of groundwater movement in aquifer systems.

Spatial Resolution of the Nonstationary Phase Estimation Method - Ketzin Case Study

2014 ◽  
Author(s):  
M. Gil ◽  
R.H. Herrera ◽  
M. van der Baan ◽  
S. Lüth ◽  
C.M. Krawczyk
Keyword(s):  
Spatial Resolution ◽  
Estimation Method ◽  
Phase Estimation

New radiocarbon estimation method for carbonate-poor sediments: A case study of ramped pyrolysis 14C dating of postglacial deposits from the Alaskan margin, Arctic Ocean

2021 ◽  
pp. 101215
Author(s):  
Kenta Suzuki ◽  
Masanobu Yamamoto ◽  
Brad E. Rosenheim ◽  
Takayuki Omori ◽  
Leonid Polyak
Keyword(s):  
Arctic Ocean ◽  
Estimation Method ◽  
14C Dating ◽  
Ramped Pyrolysis

scholarly journals Frequency Analysis of Nonidentically Distributed Hydrometeorological Extremes Associated with Large-Scale Climate Variability Applied to South Korea

2014 ◽  
Vol 53 (5) ◽  
pp. 1193-1212 ◽  
Author(s):  
Taesam Lee ◽  
Changsam Jeong
Keyword(s):  
Parameter Estimation ◽  
Climate Variability ◽  
South Korea ◽  
Simulation Study ◽  
Extreme Events ◽  
Large Scale ◽  
Southern Oscillation ◽  
Estimation Method ◽  
Parameter Estimation Method

AbstractIn the frequency analyses of extreme hydrometeorological events, the restriction of statistical independence and identical distribution (iid) from year to year ensures that all observations are from the same population. In recent decades, the iid assumption for extreme events has been shown to be invalid in many cases because long-term climate variability resulting from phenomena such as the Pacific decadal variability and El Niño–Southern Oscillation may induce varying meteorological systems such as persistent wet years and dry years. Therefore, the objective of the current study is to propose a new parameter estimation method for probability distribution models to more accurately predict the magnitude of future extreme events when the iid assumption of probability distributions for large-scale climate variability is not adequate. The proposed parameter estimation is based on a metaheuristic approach and is derived from the objective function of the rth power probability-weighted sum of observations in increasing order. The combination of two distributions, gamma and generalized extreme value (GEV), was fitted to the GEV distribution in a simulation study. In addition, a case study examining the annual hourly maximum precipitation of all stations in South Korea was performed to evaluate the performance of the proposed approach. The results of the simulation study and case study indicate that the proposed metaheuristic parameter estimation method is an effective alternative for accurately selecting the rth power when the iid assumption of extreme hydrometeorological events is not valid for large-scale climate variability. The maximum likelihood estimate is more accurate with a low mixing probability, and the probability-weighted moment method is a moderately effective option.

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