Image analysis using multiscale boundary extraction algorithm

The complete analysis and interpretation of the information in image data is a complex process. This dissertation presents 3 major contributions to image analysis, namely, global multiscale detection, local scale analysis, and boundary extraction. Global scale analysis is related to identification of the various scales presented in the image. A new approach for global scale analysis is developed based on the differential power spectrum normalized variance ratio (DPSNVR). The DPSNVR is the ratio of the second order normalized central moment of the power spectrum of the image to that of the multiscale differential mask. Local maxima in DPSNVR graph directly indicate the global scales in the image. Local scale analysis performs a more detailed analysis of the edges to eliminate effects of blurring. A method based on mutilscale feature matching has been proposed. Details obtained at all scales are treated using a scale invariant normalization scheme. Besides local scale analysis, a multiscale data fusion algorithm has been implemented which leads to the new concept of multiple scale differential masks. The multiple scale differential mask generated using a range of scale values possesses the remarkable shape preservation property which makes it superior to traditional multiscale masks. Finally the complete sequential boundary extraction algorithm based on particle motion in a velocity field is presented. The boundary extraction algorithm incorporates edge localization, boundary representation, and automated selection of boundary extraction parameters. The global scale analysis techniques in conjunction with the boundary extraction algorithm provide a multiscale image segmentation algorithm

Defect detection in correlated noise

Nondestructive evaluation (NDE) has been extensively used for investigating the integrity of materials and characterizing cracks or defects. We present methods for detecting NDE defect signals in correlated noise having unknown covariance. The proposed detectors are derived using the statistical theory of generalized likelihood ratio (GLR) tests and multivariate analysis of variance (MANOVA). We consider both real and complex data models for data sets obtained from multiple experiments. To allow accurate estimation of the noise covariance, we incorporate secondary data containing only noise into the detector design. Probability distributions of the GLR test statistics are derived under the null hypothesis, i.e. assuming that the signal is absent, and used for the detector design. We also develop a numerical method for computing the exact decision threshold that guarantees a specified probability of false alarms. We apply the proposed methods to simulated and experimental data and demonstrate their superior performance compared with the detectors that neglect noise correlation

A Study on Energy-Related GHG Mitigation Scenario in Thailand

The objective of this study is to explore the scenarios of energy-related greenhouse gas mitigation in Thailand to 2030. The picture with no change of government policy which is relied on the existing plan namely 'reference scenario' is simulated. Ambitious target of renewable energy deployment with the priority of energy supply security is adopted. Alternatively, a case with undergo progress of the committed plan namely 'case without plan' is also compared to reveal the impact of government policy uncertainty, particularly nuclear power and implementation of road-to-rail policy. This scenario will also present the pessimistic prospect on renewable energy development. On the other hand, a case with more concern on greenhouse gas emission reduction called 'additional plan' is comparatively conducted to evaluate the impact of additional non-existing policies on greenhouse gas mitigation. In this case, the proposed measures in the energy efficiency scheme with more nuclear power generation is considered to minimize the energy-related greenhouse gas in Thailand

Multistage Transmission Expansion Planning Using Local Branching Method

This paper proposes a method for solving a large-scale multistage transmission expansion planning problem. The formulated problem is of a large-scale mixed integer linear programming which is difficult to handle by general mathematical optimization techniques. A disjunctive model for a single stage transmission expansion planning is extended for solving the multistage model. In addition, a local branching method is employed with an initial solution obtained from the single stage transmission expansion planning problem. The proposed method has been tested with IEEE 24-bus and a northeastern Thailand power system to show it is efficient to implement for actual power system planning

Determination of Allowable Capacity of Distributed Generation with Protection Coordination Consideration

The presence of distributed generation (DG) provides considerable benefits from both engineering and economic viewpoints. However, it changes radial configuration of the distribution feeders. Consequently it may cause coordination failure to existing protection system which is originally set based on radial configuration. In addition, high penetration level of DG may increase feeder loss, and cause system voltage profile out of a required range. This paper presents an optimization based method to calculate maximum allowable capacity of a DG considering a set of constraints formulated to maintain protection system coordination. In addition feeder loss and system voltage constraints are also taken into account. With the developed methodology, the maximum DG capacity which does not provide adverse effects to the existing system, i.e. violate protection coordination, increase feeder loss, and cause voltage violation, can be obtained

Transmission System Expansion Planning with Consideration of N-1 Security Constraints

This paper presents a heuristic method for solving transmission system expansion problems (TSEP) with consideration of N-1 security constraints. The method is divided into two phases. An initial plan is established in the first phase by a search process which is based on a modified simplex method and sensitivity indices. The second phase starts from the initial plan and performs the local search in the defined neighborhood. Additionally, reconstruction of the new lines on the existing right of ways, which is one of the interesting issues of TSEP in the urban area, is taken into account. The proposed method provides very satisfactory results compared with others

Defect Detection in Correlated Noise

We present methods for detecting NDE defect signals in correlated noise having unknown covariance. The proposed detectors are derived using the statistical theory of generalized likelihood ratio (GLR) tests and multivariate analysis of variance (MANOVA). We consider both real and complex data models. To allow accurate estimation of the noise covariance, we incorporate secondary data containing only noise into detector design. Probability distributions of the GLR test statistics are derived under the null hypothesis, i.e. assuming that the signal is absent, and used for detector design. We apply the proposed methods to simulated and experimental data and demonstrate their superior performance compared with the detectors that neglect noise correlation

Scenarios on Power Generation in Thailand: Uncertainty of Nuclear and Coal Options

The objective of this study is to explore the possible scenarios under the constraint of nuclear and coal-fired power development. In addition, the consequence on the overall cost, greenhouse gas and diversification index of Thailand power generation system is also investigated. The reference scenario has been created on the basis of the recent power development plan (PDP2010). Three alternative scenarios with the repeal of nuclear power plant (NPP), coal-fired power and their combination have been comparatively simulated. The results show that the overall cost for the worst case without NPP and coal-fired power will increase significantly the overall cost up to 33.8 percent in 2030 compared to the reference scenario. It is caused by the replacement with higher price technology of natural gas combine cycle together with the higher fuel price due to the LNG import. In addition, diversification index will be double in this case. In term of the environmental concern, the GHG emission will possibly increase by 25.1 percent for the case of coal replacing NPP

Relations Between Positive Impacts Of CSR, External Support, CSR Knowledge And The Degree Of CSR Practices In Thai Small And Medium Enterprises

This article investigates the relations between positive impacts from Corporate Social Responsibility (CSR), external support, knowledge about CSR and the degree of CSR practices according to international standards in the viewpoint of small and medium enterprises in Thailand. The survey among 262 small and medium enterprises in five sections in the northeastern region of Thailand reveals that positive impacts of CSR on internal issues have shown to be positively related to the degree of CSR practices in small and medium enterprises. While there is no clear evidence supporting the positive impacts of CSR on external issues, external support and knowledge of owners/managers of small and medium enterprises about CSR have influenced the degree of CSR practices. The results indicate that, for CSR practices according to international standards, Thai small and medium enterprises are more interested in internal issues providing tangible benefits for them. In addition, external support for Thai small and medium enterprises in CSR engagement may not be enough to have a noticeable effect on the degree of CSR practices in Thai small and medium enterprises

Política dos EUA em África

Conferência aberta ao público, realizada no Instituto da Defesa Nacional no dia 24 de Maio de 2006. As palavras de abertura foram proferidas por João Marques de Almeida, Director do Instituto da Defesa Nacional; foi moderadora Isabel Ferreira Nunes, assessora do Instituto da Defesa Nacional. Conferencista Theresa Whelan, Subsecretária Adjunta da Defesa dos EUA para os Assuntos Africanos.N/