So this paper proposes an Artificial Bee Colony (ABC) algorithmic rule to solve the maximum loadability limit (MLL) problem. The proposed methodology has been tested on IEEE 30-bus system. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem. Therefore, the
The kernel development for Raspberry Pi was essential to execute reduced time consuming methodologies. The description is systematic developments of kernel development and various control strategy proposed techniques are given below. The need for highly reliable time efficient system real-time operating systems are useful for measurement and control applications, and how they differ from standard general-purpose operating systems like Windows. Real-time operating systems were designed for two general classes of applications: event response and closed-loop control. Event response applications, such as automated visual inspection of assembly line parts, require a response to a stimulus in a certain amount of time.
Sweeney (2002) claimed that the phrase “supply chain” is used to indicate that the chain is only as strong as its weakest links. As is noticeable in the figure above, the product flows from the raw material, through every single part until the customer, and the money flows back until the raw material supplier, in other words this means
The number of words to be transferred are hold by word count register. This register is decremented by one after each word transfer and internally tested for zero. The mode of transfer is specified by control register. All registers appear to the DMA as input – output interface register. Thus the CPU can read from or write into the DMA registers under program control via the data
NP stands for “nondeterministic polynomial time” and its roots are coming form the complexity theory. More specific, this means that although it is possible to verify the correctness of a solution to a problem in polynomial time (quick verification), the use of exponential time is needed in order to compute the exact solution. In other words, the required time to calculate the solution of the problem
Thus the nodes in OPEN follow a LIFO order (Last In First Out). OPEN is thus implemented using a stack data structure. 2.2.3 Properties of Depth First Search Let us now examine some properties of the DFS algorithm. The algorithm takes exponential time. If N is the maximum depth of a node in the search space, in the worst case the algorithm will take time O(bd).
Shortest Path Algorithm: Shortest path algorithm is widely use for finding a shortest path when you have several ways to reach the destination. This is the approach by which not only the normal people got facilitate but professional people can also take several advantages for example engineers like civil engineers or software engineers also find the shortest way to solve their problems in short period of time. This algorithm has direct link with time, it reduces the time which to be consumed on a particular thing or a project. This is type of algorithm include two types, one is djikstra’s algorithm and other is Floyd algorithm. Detail or explanations of both types of algorithm are as follows.
top-down. The main advantage of the bottom-up strategy is its relative ease of performance, while its main disadvantage is the lateness of the stage at which it is possible to observe the program as a whole. The main advantage of the top-down strategy is the early stage at which it is possible to demonstrate the program as a whole, a condition that supports early identification of analysis and design errors. The main disadvantage of the approach is the comparative difficulty of its performance. 7.3 System testing Entire system is tested as per the requirements.
OPTIMIZED MULTI-LAYER PERCEPTRON BASED STROKE CLASSIFICATION Feature Selection is also termed as feature subset selection, variable selection, or attributes reduction (Roselin 2011) and aims to choose a subset of input variables by eliminating irrelevant features or of no predictive information. Larger number of features is time costly to classify and the efficiency of the classifier also reduces. Feature selection proves theoretically and practically to be effective in improving learning efficiency, reducing complexity of learned results and increasing predictive accuracy (Ramaswami & Bhaskaran 2009). Methodology: The pre-processing steps consist of median filter and histogram equalization. In this work, features are extracted using Watershed
This ability to respond to variations in the system is the main advantage of the dynamic load balancing. But, since the load balancer has to continuously monitor the current system load on all the nodes, it becomes an extra overhead as monitoring consumes CPU cycles. So, a proper decision must be taken when to invoke the monitoring operation by the load balancer (Beaulah, et al.,