A Simulation module of NS3 for DTN with Time-space model based Routing

This paper describes an evolutionary model based on sexual Penna model and shape space model with infection and immunity. Each individual is represented by Penna model with an immune system. In order to study how the infection and immunity influence the survival process, we modify the Verhulst factor. Then, we present the results of our simulations, and discuss the evolution of population and the effect of immunity respectively. In addition, we study the effect of the memory of the immune system and the effect of vaccination under different conditions.

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Indoor Space Model Based on Knowledge Graph

2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) ◽

10.1109/ihmsc.2018.10123 ◽

2018 ◽

Author(s):

Hongjian Wu ◽

Xin Chou ◽

Guanyu Li ◽

Yimin Shi

Keyword(s):

Knowledge Graph ◽

Indoor Space ◽

Space Model ◽

Model Based

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An empirical study of MEP workspace modeling approaches for 4D model-based time-space conflict analyses: Case study on the international linear collider project

KSCE Journal of Civil Engineering ◽

10.1007/s12205-013-1982-5 ◽

2012 ◽

Vol 17 (4) ◽

pp. 627-637 ◽

Cited By ~ 2

Author(s):

Bonsang Koo ◽

Jonghoon Kim ◽

Jung-In Kim

Keyword(s):

Empirical Study ◽

Linear Collider ◽

International Linear Collider ◽

Model Based ◽

Modeling Approaches ◽

Time Space

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A computational model of visual marking using an inter-connected network of spiking neurons: The spiking search over time & space model (sSoTS)

Journal of Physiology-Paris ◽

10.1016/j.jphysparis.2006.09.003 ◽

2006 ◽

Vol 100 (1-3) ◽

pp. 110-124 ◽

Cited By ~ 10

Author(s):

Eirini Mavritsaki ◽

Dietmar Heinke ◽

Glyn W. Humphreys ◽

Gustavo Deco

Keyword(s):

Computational Model ◽

Spiking Neurons ◽

Space Model ◽

Connected Network ◽

Time Space ◽

Visual Marking ◽

Over Time

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RESEARCH ON CONSTRUCTION METHOD OF SPATIO-TEMPORAL DATA MODEL BASED ON BEHAVIOR-EVENT

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w10-591-2020 ◽

2020 ◽

Vol XLII-3/W10 ◽

pp. 591-594

Author(s):

J. W. Li ◽

Y. Ma ◽

J. W. Jiang ◽

W. D. Chen ◽

N. Yu ◽

...

Keyword(s):

Data Model ◽

Logical Structure ◽

Physical Structure ◽

Temporal Data ◽

Model Based ◽

Time Space ◽

Before And After ◽

Spatio Temporal ◽

Temporal Objects ◽

Organic Combination

Abstract. Starting from the object-oriented idea, this paper analyses the existing event-based models and the logical relationship between behavioral cognition and events, and discusses the continuity of behavioral cognition on the time axis from the perspective of temporal and spatial cognition. A geospatial data model based on behavioral-event is proposed. The physical structure and logical structure of the model are mainly designed, and the four-dimensional model of “time, space, attribute and event” is constructed on the axis. The organic combination of the four models can well describe the internal mechanism and rules of geographical objects. The expression of data model based on behavior-event not only elaborates the basic information of geospatial objects, but also records the changes of related events caused by the changes of geographic Entities' behavior, and expresses the relationship between spatial and temporal objects before and after the changes of behavior cognition. This paper also designs an effective method to organize spatio-temporal data, so as to realize the effective management and analysis of spatio-temporal data and meet the requirements of storage, processing and mining of large spatio-temporal data.

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