scholarly journals Distance-Decay Effect in Probabilistic Time Geography for Random Encounter

2019 ◽  
Vol 8 (4) ◽  
pp. 177
Author(s):  
Zhang-Cai Yin ◽  
Zhang-Hao-Nan Jin ◽  
Shen Ying ◽  
Hui Liu ◽  
San-Juan Li ◽  
...  

Probabilistic time geography uses a fixed distance threshold for the definition of the encounter events of moving objects. However, because of the distance-decay effect, different distances within the fixed threshold ensure that the encounter events do not always have the same possibility, and, therefore, the quantitative probabilistic time geography analysis needs to consider the actual distance-decay coefficient (DDC). Thus, this paper introduces the DDC and proposes a new encounter probability measure model that takes into account the distance-decay effect. Given two positions of a pair of moving objects, the traditional encounter probability model is that if the distance between the two positions does not exceed a given threshold, the encounter event may occur, and its probability is equal to the product of the probabilities of the two moving objects in their respective positions. Furthermore, the probability of the encounter at two given positions is multiplied by the DDC in the proposed model, in order to express the influence of the distance-decay effect on the encounter probability. Finally, the validity of the proposed model is verified by an experiment, which uses the tracking data of wild zebras to calculate the encounter probability, and compares it with the former method.

2019 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
Zhang-Cai Yin ◽  
Hui Liu ◽  
Zhi-Jun Zhang ◽  
Zhang-Hao-Nan Jin ◽  
San-Juan Li ◽  
...  

Based on probabilistic time-geography, the encounter between two moving objects is random. The quantitative analysis of the probability of encounter needs to consider the actual geographical environment. The existing encounter probability algorithm is based on homogeneous space, ignoring the wide range of obstacles and their impact on encounter events. Based on this, this paper introduces obstacle factors, proposes encounter events that are constrained by obstacles, and constructs a model of the probability of encounters of moving objects based on the influence of obstacles on visual perception with the line-of-sight view analysis principle. In realistic obstacle space, this method provides a quantitative basis for predicting the encountering possibility of two mobile objects and the largest possible encounter location. Finally, the validity of the model is verified by experimental results. The model uses part of the Wuhan digital elevation model (DEM) data to calculate the encounter probability of two moving objects on it, and analyzes the temporal and spatial distribution characteristics of these probabilities.


2012 ◽  
Vol 17 (4) ◽  
pp. 217-222
Author(s):  
Piotr Szymczyk ◽  
Magdalena Szymczyk

Abstract In this paper authors describe in details a system dedicated to scene configuration. The user can define different important 2D regions of the scene. There is a possibility to define the following kinds of regions: flour, total covering, down covering, up covering, middle covering, entrance/exit, protected area, prohibited area, allowed direction, prohibited direction, reflections, moving objects, light source, wall and sky. The definition of this regions is very important to further analysis of live stream camera data in the guardian video system.


2018 ◽  
Vol 11 (4) ◽  
pp. 87-98
Author(s):  
Abdullah Alamri

Healthcare systems have evolved to become more patient-centric. Many efforts have been made to transform paper-based patient data to automated medical information by developing electronic healthcare records (EHRs). Several international EHRs standards have been enabling healthcare interoperability and communication among a wide variety of medical centres. It is a dual-model methodology which comprises a reference information model and an archetype model. The archetype is responsible for the definition of clinical concepts which has limitations in terms of supporting complex reasoning and knowledge discovery requirements. The objective of this article is to propose a semantic-mediation architecture to support semantic interoperability among healthcare organizations. It provides an intermediate semantic layer to exploit clinical information based on richer ontological representations to create a “model of meaning” for enabling semantic mediation. The proposed model also provides secure mechanisms to allow interoperable sharing of patient data between healthcare organizations.


2013 ◽  
Vol 135 (6) ◽  
Author(s):  
R. Fargère ◽  
P. Velex

A global model of mechanical transmissions is introduced which deals with most of the possible interactions between gears, shafts, and hydrodynamic journal bearings. A specific element for wide-faced gears with nonlinear time-varying mesh stiffness and tooth shape deviations is combined with shaft finite elements, whereas the bearing contributions are introduced based on the direct solution of Reynolds' equation. Because of the large bearing clearances, particular attention has been paid to the definition of the degrees-of-freedom and their datum. Solutions are derived by combining a time step integration scheme, a Newton–Raphson method, and a normal contact algorithm in such a way that the contact conditions in the bearings and on the gear teeth are simultaneously dealt with. A series of comparisons with the experimental results obtained on a test rig are given which prove that the proposed model is sound. Finally, a number of results are presented which show that parameters often discarded in global models such as the location of the oil inlet area, the oil temperature in the bearings, the clearance/elastic couplings interactions, etc. can be influential on static and dynamic tooth loading.


2001 ◽  
Vol 29 (6) ◽  
pp. 842-849 ◽  
Author(s):  
Lisa A. Suzuki ◽  
Mary B. McRae ◽  
Ellen L. Short

Sue’s proposed model is based on a critique of the Eurocentric assumptions underlying current clinical practice and reflects his innovative thinking and unique synthesis of past research. The specific areas addressed in this article focus on an examination of the multidimensional model of cultural competence (MDCC) and issues related to the definition of competence and its measurement. Areas of needed elaboration in the model include complexities related to power hierarchies (i.e., authority, authorization, and leadership) and implications for training and practice. Particular emphasis is placed on the complexities of cultural competence and the important contributions of Sue’s MDCC as an important step in making cultural competence a reality in the practice of counseling psychology.


2011 ◽  
Vol 82 ◽  
pp. 722-727 ◽  
Author(s):  
Kristian Schellenberg ◽  
Norimitsu Kishi ◽  
Hisashi Kon-No

A system of multiple degrees of freedom composed out of three masses and three springs has been presented in 2008 for analyzing rockfall impacts on protective structures covered by a cushion layer. The model has then been used for a blind prediction of a large-scale test carried out in Sapporo, Japan, in November 2009. The test results showed substantial deviations from the blind predictions, which led to a deeper evaluation of the model input parameters showing a significant influence of the modeling properties for the cushion layer on the overall results. The cushion properties include also assumptions for the loading geometry and the definition of the parameters can be challenging. This paper introduces the test setup and the selected parameters in the proposed model for the blind prediction. After comparison with the test results, adjustments in the input parameters in order to match the test results have been evaluated. Conclusions for the application of the model as well as for further model improvements are drawn.


2019 ◽  
Vol 10 (1) ◽  
pp. 51-67
Author(s):  
Marta Iwaszuk

Thesis: Aim of the paper is to present Melanie Klein and Charles S. Peirce concept of symbol in order to combine them into scheme that presents conscious and unconscious aspect of thinking through symbolic signs (signs based on convention). Presented concepts: Paper presents concept of symbol in psychoanalytical and semiotic perspective. Psychoanalytical view is based on interpretation of symbol according to object relation paradigm proposed by Klein. There are two reasons for selecting her theory for the model: it is most closely bound with interdependency between communication and thinking plus her concept of proper symbol fulfills definition of symbolic sign in Peirce theory, due to deployment of matter of absence in substitution process. Peirce theory however is selected to present semiotic perspective not only for its good linkage to Klein’s “proper symbol” but also for its accurate understating of object representation in quasi- mind through Representamen and as a result recognition of symbol embedment in code through unlimited semiosis. Chosen concepts are consolidated into psycho-semiotic model of thinking which recognizes symbol to be co-created by unique internal world of unconscious phantasy with simultaneous employment of semiotic devices oriented to external, group order perspective. Results and conclusions: Proposed psycho-semiotic model of thinking enhances psychoanalytic view, based on drive for object, by recognizing communication means required for meaningful relation and with that for thinking itself. As a result conceptualizing thinking processes is enriched with semiotic discoveries such as mechanics and structure of Representamen and Interpretant, along with indispensable code rules, with unlimited semiosis at its core. In turn psychoanalytical view adds to semiotic perspective sensitivity to individual potential and constrains when code is in use and with that raises precision of exploration in the field. Contribution to the field: Proposed model enriches theory of thinking based on object relations with semiotic sign theory, which being focused on communication serves as a frame for establishing object relations and their conceptualization. In turn employing psychoanalytic perspective into semiotic field brings back code theory to actual code usage, and by that expands it to various unconscious forces, which ultimately determine Interpretant


2012 ◽  
Vol 22 (2) ◽  
pp. 95-103
Author(s):  
Ante Bukša ◽  
Ivica Šegulja ◽  
Vinko Tomas

By adjusting the maintenance approach towards the significant components of ship’s engines and equipment, through the use of operational data from the ship machinery’s daily reports, higher operability and navigation safety can be achieved. The proposed maintenance adjustment model consists of an operation data analysis and risk analysis. The risk analysis comprises the definition of the upper and the lower risk criterion, as well as the definition of a risk index. If the risk index is higher than the lower risk criterion, the component is significant, while it is not significant and has an acceptable risk index if the risk index is lower than the lower risk criterion. For each significant component with a risk index found to be “unacceptable” or “undesirable”, an efficient maintenance policy needs to be adopted. The assessment of the proposed model is based on data regarding the power engine original operation throughout a 13-year period. The results of engine failure examinations reveal that the exhaust valve is the most vulnerable component with the highest rate of failure. For this reason the proposed model of adjusting the maintenance approach has been tested on the exhaust valve sample. It is suggested that the efforts to achieve higher ship operability and navigation safety should go in the direction of periodical adjustments of the maintenance approach i.e. choosing an efficient maintenance policy by reducing the risk indices of the significant engine components. KEY WORDS: maintenance adjustment approach, risk analysis, risk index, lower risk criterion, upper risk criterion, significant components, ship navigation


Author(s):  
Mohammad Amin Hariri-Ardebili

Risk analysis of concrete dams and quantification of the failure probability are important tasks in dam safety assessment. The conditional probability of demand and capacity is usually estimated by numerical simulation and Monte Carlo technique. However, the estimated failure probability (or the reliability index) is dam-dependent which makes its application limited to some case studies. This article proposes an analytical failure model for generic gravity dam classes which is optimized based on large number of nonlinear finite element analyses. A hybrid parametric–probabilistic–statistical approach is used to estimate the failure probability as a function of dam size, material distributional models and external hydrological hazard. The proposed model can be used for preliminary design and evaluation of two-dimensional gravity dam models.


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