Global Journal of Computer Science and Technology (GJCST)
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Artificial Satisfaction - The Brother of Artificial Intelligence
Get PDFJohn McCarthy (September 4, 1927 2013; October 24, 2011) was an American computer scientist and cognitive scientist. The term 201C;Artificial Intelligence201D; was coined by him (Wikipedia, 2020). Satish Gajawada (March 12, 1988 2013; Present) is an Indian Independent Inventor and Scientist. He coined the term 201C;Artificial Satisfaction201D; in this article (Gajawada, S., and Hassan Mustafa, 2019a). A new field titled 201C;Artificial Satisfaction201D; is introduced in this article. 201C;Artificial Satisfaction201D; will be referred to as 201C;The Brother of Artificial Intelligence201D; after the publication of this article. A new algorithm titled 201C;Artificial Satisfaction Algorithm (ASA)201D; is designed and implemented in this work. For the sake of simplicity, Particle Swarm Optimization (PSO) Algorithm is modified with Artificial Satisfaction Concepts to create the 201C;Artificial Satisfaction Algorithm (ASA).201D; PSO and ASA algorithms are applied on five benchmark functions. A comparision is made between the results obtained. The focus of this paper is more on defining and introducing 201C;Artificial Satisfaction Field201D; to the rest of the world rather than on implementing complex algorithms from scratch
Critique of Various Algorithms for Handwritten Digit Recognition Using Azure ML Studio
Get PDFHandwritten Digit Recognition is probably one of the most exciting works in the field of science and technology as it is a hard task for the machines to recognize the digits which are written by different people. The handwritten digits may not be perfect and also consist of different flavors. And there is a necessity for handwritten digit recognition in many real-time purposes. The widely used MNIST dataset consists of almost 60000 handwritten digits. And to classify these kinds of images, many machine learning algorithms are used. This paper presents an in-depth analysis of accuracies and performances of Support Vector Machines (SVM), Neural Networks (NN), Decision Tree (DT) algorithms using Microsoft Azure ML Studio
Introducing Connected Dominating Set as Selection Feature of Cluster Heads in Hierarchical Protocols of Wireless Sensor Networks
Get PDFIt has been found that almost all routing protocols do suffer from efficiency of its operation regarding data transfer from one point to another. To overcome this process algorithm regarding the choice of nodes as cluster heads has to be done with utmost care. Failing of this leads to unnecessary dissipation of energy such as generating excess 2018;Hello2019; messages and less useful data transfer. In this communication we show that the introduction of connected dominating set as one of the metric regarding the choice of cluster head leads to better data transfer and energy consumption. Moreover we implemented this concept in LEACH protocol and found acceptable improvement in the performance parameters of the protocol
The Fast Integration of a Rotated Rectangle Applied to the Rotated Haar-like Features for Rotated Objects Detection
Get PDFThe Integral Image technique, used by Viola and Jones, is generally used to calculate the integral of a rectangular filter in an input picture. This filter is a rectilinear rectangle. We propose a method to integrate a rotated one by any angle of rotation inside an image based on the Bresenham algorithm of drawing a segment. We use some pixels 2013; called key points - that forms the four segments of a rotated rectangle, to calculate its Integral Image. Our method focuses on three essential tasks; the first is to determine the rule for drawing a segment (SDR), the second is to identify all the key points of the rectangle r, and the third is to calculate the integral image. The speed of this method depends on the size and angle of rotation of the rectangle. To demonstrate the efficiency of our idea, we applied it to the rotated Haar-like features that we proposed in a later work [12], which had as objectives the improvement of the Viola and Jones algorithm to detect the rotated faces in a given image. We performed tests on more widespread databases of images, which showed that the application of this technique to rotated Haar-Like features improves the performance of object detectors, in general, and faces in particular
Application of IOT and Countermeasure in Agriculture of Shandong Province, China
Get PDFAs a major agricultural province in China, Shandong Province has always played an important role. At the same time, it is also closely related to the strong support of agricultural science and technology. As a new technology, the Internet of things has made great contributions. In this paper, the application of Internet of things in the field of agriculture in Shandong Province is described from two practical cases, and discusses the countermeasures at the end of the paper
A Review of Metrics for Object-Oriented Design
Get PDFThe ever-evolving body of empirical results do confirmation on the theoretical perspective the validity of OOD metrics whose validity is determined by them demonstrating that [1] they measure what they purport to measure. Quite often OOD metrics have been used as indicators of both the internal and external behaviors in the software development process. Software metrics especially for Object Oriented Systems literature often describe complex models with the focus to help predict various properties of software products and processes by measuring other properties. Usually designers are met with challenges to work with these measures especially when and how to use them. The very process of collecting these measurements leads to a better organization of the software process and a better understanding of what designers do as long as they confine to measurements that are meaningful. To this end therefore, the initiation of these metrics during the initial software development process is important. This paper elicits an understanding of the OOD metrics used in OOS development
Comparative Analysis of Random Forest and J48 Classifiers for 201C;IRIS201D; Variety Prediction
No full textData mining may be a computerized technology that uses complicated algorithms to seek out relationships and trends in large databases, real or perceived, previously unknown to the retailer, to market decision support. Data mining is predicted to be one of the widespread recognition of the potential for analysis of past transaction data to enhance the standard of future business decisions. The aim is to arrange a set of knowledge items and classify them. In this paper, we apply two classifier algorithms: J48 (c4.5) and Random Forest on the IRIS dataset, and we compare their performance based on different measures
Investigating Simultaneous Wireless Connections for a Quiz Management System-A Case Study
Get PDFNear Field Communication is a set of communication protocols for communication between two electronic devices over a distance of 4cm or less and Bluetooth is a wireless technology standard used for exchanging data between fixed and mobile devices over short distances using UHF radio waves in the industrial, scientific and medical radio bands, from 2.402 GHz to 2.480GHz, and building personal area networks (PANs). Both these protocols facilitate wireless/ internet less communication between devices that have the capabilities. The paper titled 201C;Establishing Simultaneous Server-Side Connections for NFC/Bluetooth enabled Quiz Management Systems201D; further expanded the concept and usage of these protocols via the examination of modifications made to a Quiz Management System. It highlighted the QMS which was further developed to address a key limitation that was observed in the prior system
An Approach to Establishing Simultaneous Server-Side Connections for NFC/Bluetooth enabled Quiz Management Systems
Get PDFNear Field Communication is a set of communication protocols for communication between two electronic devices over a distance of 4cm or less and Bluetooth is a wireless technology standard used for exchanging data between fixed and mobile devices over short distances using UHF radio waves in the industrial, scientific and medical radio bands, from 2.402 GHz to 2.480GHz, and building personal area networks(PANs). Both these protocols facilitate wireless/ internet less communication between devices that have the capabilities. This paper seeks to further expand the concept and usage of these protocols via the examination of modifications made to a Quiz Management System. The Quiz Management System, which is a solution to further advance the notion of a smart classroom setup within the context of short-range wireless technologies has already seen iterations developed on both the NFC and Bluetooth side of things
The Optimum Encryption Method for Image Compressed by AES
Get PDFIn this paper, the idea of partial encoding has been proposed to use for secure encryption of only a portion of compressed data. Only 10% -25% of the output is encrypted from the Quad tree compression algorithm. As a result, the encryption and decryption time has been reduced considerably. Thus, in the compression stage, the Quad tree compression algorithm is used while in the encoding stage, the Advanced Encryption Standard (AES) algorithm is applied. The proposed partial coding system is fast and safe and does not reduce the compression performance of the underlying specific algorith