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Hardware-software (HW-SW) partitioning plays a vital role in design phase of embedded system. The partitioning is a process to map each computation task in an application to either software or hardware. In general, hardware run faster compared to software, but with significant cost and resources utilization. Thus, current embedded system often incorporates a mix of hardware and software component...
In automated test pattern generation (ATPG), test patterns are automatically generated and tested against all specific modeled faults. In this work, three optimization algorithms, namely: genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE), were studied for the purpose of generating optimized test sequence sets. Furthermore, this paper investigated the broad use...
Efficient utilization of sensor energy to prolong the WSN' lifetime is proposed in this paper. A hybrid PSO Genetic sleep scheduling algorithm for WSNs to escape the local optima trap is the focus of this work. The proposed scheme uses a new parameter: Local Optimum Detector (LOD) for switching from PSO to GA algorithm in order to escape to the local optima trap caused by PSO.
Job shop scheduling problem is a hot spot in today's intelligent manufacturing. Therefore, how to get JSSP optimal solution is a key problem in this field. The development of genetic algorithm has been relatively mature, and gets a better result in JSSP. However, the relevant research on how to further optimize on this basis is still relatively less. In order to improve the solution quality of genetic...
The article presents the use of genetic algorithm (GA) to select and classify ERD/ERS patterns. One hundred twenty eight channel EEG signal was used in the experiments. The signal was recorded for 40 people, during the process of imagining right and left hand movements. Feature extraction was performed using frequency analysis (FFT) with the resolution of 1Hz. So the features were spectral lines associated...
Any realistic model will have high complexity; in other words, it will require many state variables to be adequately described. The resulting complexity, i.e. number of first-order differential equations, is such that a simplification or model reduction will be needed in order to perform a simulation in an amount of time which is acceptable for the application at hand, or for the design of a low order...
The applications of The Brush Less Direct Current (BLDC) are increasing day by day. In order to have proper utilization of these motors and to control them effectively it's important to have proper mathematical modeling of these motors. Similarly effective control these motors are also essential to have successful application of the devices across multiple domains. This work addresses both these important...
In the field of securities investment, how to choose the right stock is always an essential subject to investigate. In order to successfully identify the fluctuation trend of stock-price, this paper proposes a multi-factor analysis model that is based on the genetic algorithm (GA) and support vector machine (SVM). The price of stocks is affected by many factors; however, the extent of influence is...
In this paper, the optimal route and deployment scheme are designed to ensure the shortest retention time for unmanned aerial vehicles (UAV) in risk area. Firstly, according to the known data and radar scanning range, the regional distribution map of target grope and base are obtained, respectively. Secondly, based on the different scanning bandwidth of loads, target points are classified by using...
Regression testing is a process used to measure the validity of the system during software maintenance. Regression testing process is very expensive and must be introduced each time a modification occurs in software to ensure that the system still work and that the new modification doesn't cause any bugs, this process depends on selecting test cases from a test suite. Selection of test cases is very...
BP neural network is a kind of multi-layer network trained by error back propagation algorithm and it can be integrated to genetic algorithm(GA) to obtain an excellent approach for global optimization search and local time-frequency characteristics. For the deficiency of BP network, we propose a BP neural network controller based on improved GA. It designs fitness function based on performance index,...
The open-pit mine vehicle scheduling problems are discussed to assign the mine resource reasonably, adjusting the balance of supply and demand effectively and improving the transportation efficiently, and provide necessary technical support for complete open-pit operational scheduling measures. Meanwhile, we design natural number coding genetic algorithms with the technologies of adaptive adjustment...
When vehicle path is performing express distribution for various branches in distribution center, we adopt simultaneous service of distribution strategy between express delivery and collection. It assumes that vehicles follow normal distribution of travel time among each point. Under condition that distribution branches have soft time window restriction and express delivery collection quantity follows...
To determine investment and cost estimation scientifically and simplify the investment estimating preparation, an improved BP neural network estimation model with GA optimization is proposed, based on the learning process of standard BP neural network. Our scheme set initial weight and whitening positioning coefficient as genetic population. The coefficients are optimized according to the principle...
Diabetes is considered today as the disease of the century given the number of diabetics that is constantly increasing. Plenty of research work has been done to carry out the classification or diagnosis of diabetes. In this paper, we presented a method for the diagnosis of diabetes based on Genetically Optimized Neural Network classifier. Proposed methodology is based on Principal Component Analysis...
To control the coordination between various muscles and nerves in the human body, brain is utilized. Due to the sudden, unexpected and transient electrical disturbances of the brain, it results in an acute disease called epilepsy which is characterized by recurrent seizures leading to a lot of temporary changes in behaviour, perception, movement and health. Epilepsy occurs due to the rapid firing...
One of the global neurological disorders affecting the cerebral cortex of the brain is epilepsy. It is considered as a persistent neurological disorder that exists since a long period of time. Characterized by continuous, spontaneous and recurrent seizures, they cause a great harm to the patient. The activities of the neurons can be easily recorded by Electroencephalogram (EEG). A mandatory requirement...
Proportional-integral-derivative (PID) controller act as efficient controllers for controlling all kinds of industrial process with best performance. A number of chemical processes in the industries are controlled using PID controllers. However, the industrial processes are generally more complicate and nonlinear which can yields inferior performance when controlled by conventional PID controllers...
Optimization of On chip communication link in one of the hottest research area in system on chip (SOC) based system design. On chip link are optimized for efficient communication and low power consumption which is trade off in nature. So achieving both efficient communication and low power consumption requires a special optimization mechanism. Evolutionary algorithm of genetic algorithm will be solving...
Wireless Sensor Network (WSN) is an emerging application that has proved to be very effective due to its wide application and so has become very prominent various industries and research WSN's life is improved through clustering-based routing. Operation and network life are controlled by a large deployed sensor network whose major characteristic is self-organization and energy efficiency. The area...
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