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The research aims to design a system that cuts the cancerous area in the esophageal tissue that is often detected in late stages, using the FCM algorithm. This algorithm has achieved impressive results in determining the tumour area, which is; (sensitivity of 0.98, Accuracy of 0.95, and specificity of 0.92). The proposed system was tested on 200 images, which were downloaded from the Kaggle website. This research showed that is not possible to improve the images before using them in segmentation, due to the type of noise experienced by the data set is not uniform, because the images uploaded to the mentioned site are in JPG format (compressed images), which are losing many their features. [ABSTRACT FROM AUTHOR]

The paper proposes an algorithm for balancing a platform on aerodynamic suspension based on measurements of the angular velocity sensor. Results of the algorithm experimental development are presented. The developed algorithm makes it possible to improve adequacy of results of the nanosatellite angular motion control system testing. The balancing algorithm error is comparable with errors of the known algorithms that are using more expensive measurement instruments. [ABSTRACT FROM AUTHOR]

The software testing process is not only important but also a complex stage SDLC (software development life cycle) process. For estimating the activities of the system in the software testing stage testers implement test scenarios as input for the system under test (SUT). For improving the superiority of the system and also finding faults implementing test-cases shows an energetic role. Our research work target towards implementation of test cases automatically by combinational Unified Modeling Language (UML) diagram so that it can display higher effectiveness in starting phase of the system development procedure of model-based testing. This research uses UML diagrams like Use Case Diagram (UCD), Activity Diagram (AD), and a combination of both generates System Testing Graph (STG). The combination of these two diagrams has been proved as the well-suited diagrams to implement test cases from the earlier combination graphs. Our technique suggested in this research paper is Uniformed Graph Traversing (UGT) Algorithm that is combined with Level Order Traversal (LOT) Algorithm to implement predictable test scenarios. In this research paper, we prove that the UGT algorithm is useful to implement test scenarios, and also these test scenarios are providing precise outcomes; each vertex existing in the test scenarios includes some situation. In this proposed approach we also disclose faults for example decision fault, fault of dependency, interaction fault, and loop fault which results in assessment effort reduction. The implemented test scenarios are directed to one requests controlling tool which can be in contradiction of the requests. It also protects time period and work and also, raises the value of implemented test scenarios, thus enhances the complete routine in a testing phase. [ABSTRACT FROM AUTHOR]

The Optimal Reactive Power Dispatch (ORPD) is one of a non-linear complex optimization problem. The main purpose of ORPD is to obtain minimum power loss by control variable system adjusting in all system limitation requirements. The control variables that need to be optimized are the value of bus generator voltage, tap transformer settings and shunt reactive elements. The Particle Swarm Optimization (PSO) has developed in several new variants. In this research, the PSO algorithm was improved using Individual Different Evolution (IDE-PSO) algorithm. This algorithm was conducted to solve ORPD problem on IEEE 30 bus test system as the research object. The simulation results show that the total value of active and reactive power losses decreased by 1.39% and 1.95% respectively, comparing with the system initial condition. The IDE-PSO algorithm results also were compared with the Standard PSO results. The IDE-PSO algorithm proved to be more effective than the Standard PSO algorithm for ORPD problem. [ABSTRACT FROM AUTHOR]

This paper examines another way to deal with track down the ideal site and sizing of DSTATCOM with a target capacity of expanding the voltage stability. Voltage stability Index (VSI) and Fruit Fly Search (FFA) Algorithm is utilized to track down the ideal area and measuring of DSTATCOM. Present approach is tried on IEEE 33 standard test system. The acquired outcome shows that ideal arrangement and estimating of DSTATCOM in the spiral dissemination network adequately lessens the all out power misfortunes of the framework. [ABSTRACT FROM AUTHOR]

This paper addresses the identification of linear dynamic systems using a new hybrid topology based on firefly algorithm with addition of fixed nonlinearities in the delta domain. The global search is carried out by the bacterial foraging algorithm (BFA), while the firefly algorithm (FA) is used to fine-tune solutions in hybrid topology. For identification in the delta domain, a test system with different polynomial nonlinearities was used. Delta operator presents a unified approach for system modelling, matching continuous and discrete-time results at a high sampling rate. An unbiased signal, contaminated with white noise, was taken up as an input for the estimation of unknown parameters of the modelsas well as coefficients of the polynomial nonlinearities. Not only does the hybrid algorithm outperform the originator heuristics of which it is made up, but it also outshines some of the latest approaches to heuristics recorded in the literature. [ABSTRACT FROM AUTHOR]

Thermal power plants (TPPs) can produce and supply electricity to power system as a main power source but power generation fuel cost of the TPPs is very expensive. So, the target of minimizing the cost is considered as a main duty in power system operation. This is called economic load dispatch (ELD) problem. In this paper, a novel algorithm, tunicate swarm algorithm (TSA), is applied for solving the ELD problem. The applied TSA is implemented for test systems with different numbers of units and different constraints such as power balance constraints, prohibited operating zones, power losses and power output limits of generators. The first test system is comprised of 6 units considering power balance constraints, power output limits, prohibited working zones and power losses while the second test system consists of 20 units taking into account the power balance constraints, power output limits and power losses. TSA is compared to a high number of previous methods in terms of the cost and TSA is concluded to be a powerful method since it can find less or equal cost with other compared methods. [ABSTRACT FROM AUTHOR]