two interdependent rather than being independent. These two branches are mutually supportive. Most economic problems have both economics system and cannot be attained without proper integration of them. The modern theory of economics integrated the analysis of the behavior of individuals firm and the behavior of the economics as a whole. 1.3. Interdependence with the economic policies In consideration of the aforecited fact, I can add that Micro and Macroeconomic theories are closely relates not
needed to run all the specific scale projects by using the Waterfall Model. In order to find the number of employees needed, we will run the model with a simulation tool which is Symphony.NET. The proposed model is to overcome the weaknesses and problems due to the use of model of Software development life cycle (SDLC). Before the simulation process is started, the project manager needs to determine the five phase in the Waterfall Model. Those five phases are business analysis, design, implementation,
Optimization is at the core of Markowitz’s Modern Portfolio Theory . It is heavily based on the concept of the efficient frontier (EF), and process of finding the optimal portfolio and how to create a frontier of investment portfolios. The set of all portfolios which had the greatest possible expected
The need for a large scale development has to be identified by the state. If the need analysis is ratified, initial feasibility studies are undertaken and a detailed project report (DPR) is developed either by the state itself or by experienced domain specialists. Technical feasibility and economic viability of the project are examined later, in addition to evaluation and analysis of available alternatives. Various issues, such as conceptualization
CHAPTER 1 1.1 Introduction Fishery industry is one of the important economic resources in Malaysia. It offers source of employment to the society, not only for fishermen but for workers in associated industries as well, such as marine-based food industry, boat building and net making businesses. It also plays an important role as one of the component of overall agricultural sector in providing the food security for the country. However, globally, the fishing industry is highly inefficient (Cao
The system also compared the data from the AVL and Passenger load data to determine if existing frequencies are insufficient or in efficient. The routes with inefficient schedules or erratic passenger load are catered by control actions such as bus holding and bus skipping stops. (Strathman, 2002). Given the case BMTC, there is a need to improve the fleet management and the scheduling
the screen the statistically significant factors for VASEME are presented in table a. The parameter effect 95% confidence level (p0.05) was found insignificant describing the significant model correlation between the variables and process response. Analysis of variance (ANOVA) was used to evaluate the main effect of vortex time (sec, X1), CCl4 volume (µl, X2) and temperature (oC, X3), their interaction along with quadratic model were evaluated. The polynomial equation for the response is as follows
of traditional and commercial deep-sea fishery subsectors. Inshore commercial and deep-sea fishery subsectors contribute the bulk of the marine fish landing. However, the inshore traditional fishery is of no less important as it involves a smaller scale of fishermen and generally associated with lower income and
cost position. The theme that runs through the entire strategy is low cost compared to competitors, although it cannot be achieved to the detriment of quality and high service standards. Cost leadership requires an aggressive construction of efficient-scale facilities, vigorous pursuit of cost reductions from experience, tight cost and control, avoidance of marginal customer accounts, and cost minimization in areas such as research
2.2.1 Crowd Analysis Techniques Based on Computer Vision Computer vision methods have been widely used to study different aspects of crowd analysis. Jacques, Musse and Jung (2010) discussed three aspects: crowd counting/density estimation, tracking in crowded sights and high-level crowd behavior understanding. 2.2.1.1 Crowd counting Crowd counting is one of the fundamental issues in the area of crowd analysis as counting assists in more efficient crowd management such as overcrowding anticipation