Vision-Based Activity Analysis Framework Considering Interactive Operation of Construction Equipment

2017 ◽  
Author(s):  
Jinwoo Kim ◽  
Seokho Chi ◽  
Bon-Gang Hwang
Keyword(s):  
Activity Analysis ◽  
Construction Equipment ◽  
Analysis Framework ◽  
Interactive Operation

Activity analysis of construction equipment using audio signals and support vector machines

2017 ◽  
Vol 81 ◽  
pp. 240-253 ◽  
Author(s):  
Chieh-Feng Cheng ◽  
Abbas Rashidi ◽  
Mark A. Davenport ◽  
David V. Anderson
Keyword(s):  
Support Vector Machines ◽  
Activity Analysis ◽  
Construction Equipment ◽  
Support Vector ◽  
Audio Signals ◽  
Vector Machines

Demographic-Economic Forecasting within an Activity-Commodity Framework: Some Theoretical Considerations and Empirical Results

1981 ◽  
Vol 13 (9) ◽  
pp. 1067-1083 ◽  
Author(s):  
P W J Batey ◽  
M Madden
Keyword(s):  
Activity Analysis ◽  
Analysis Framework ◽  
Input Output ◽  
Economic Forecasting ◽  
Empirical Results ◽  
Forecasting Models ◽  
Consistent Manner ◽  
Complex Relationships ◽  
Theoretical Considerations

This paper presents a methodology which allows demographic and economic forecasting models to be integrated in a consistent manner. By embedding a conventional static Leontief input-output model within an activity analysis framework, a number of interesting results are obtained. First, a new series of production, income, and employment multipliers is derived which offers considerable advantages over those currently in use. Second, partitioning the framework provides fresh insights into the complex relationships between demographic and economic variables. These developments in methodology are tested in a case study of Mersey side where an operational version of the framework is applied in a forecasting context.

An Optimizing Model of Urban Development

1974 ◽  
Vol 6 (2) ◽  
pp. 149-168 ◽  
Author(s):  
M Ripper ◽  
P Varaiya
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Transportation Network ◽  
Simulation Models ◽  
Activity Analysis ◽  
Analysis Framework ◽  
Land Use Pattern ◽  
Specific Geometry ◽  
Optimizing Model ◽  
Data Requirements

This paper presents an approach to the planning of urban development using an activity analysis framework in contrast with the more prevalent simulation models. Using input-output relations for production of commodities and labor, and a specific geometry for the transportation network, the model determines an ‘efficient’ land-use pattern and transportation system by solving a linear programming problem. The model incorporates the ‘sunk’ nature of urban capital and shows how this affects the pattern of development in a growing city. From the viewpoint of data requirements and computational complexity it appears that this approach is worth pursuing in conjunction with, or as an alternative to, the efforts devoted to Lowry-type simulation models of land use.

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

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