Earticle

The necessity of automation gradually increases by increasing industrialization at the present. Needed workforce is supplied on occasion of being short of manpower or threatening man’s health. It brings about a rapid improvement in the robotics world. All the used robot technologies in automatic systems performed by this time, fulfil the given commands as they are prearranged, or they can be momentarily controlled by the help of remote controls that are designed for the control of the system. In this thesis study, it is purposed that designed robot arms can be commanded simultaneously and one-to one with articulation motions of man’s arms by using Kinect technology. In this performed study, prearranged robot’s arms can be momentarily controlled by Kinect sensor. Motions of arm sensed by Kinect are transformed into mathematical data in software which is fixed for Kinect and then the process of leading servo motor, composed robot’s articulations, is achieved by sending the data to software fixed for Arduino. The ability to control Kinect as a software is supplied with WPF (Windows Presentation Foundation) and programming of Arduino is supplied with C++ program language.

This study comprises the four states' rainfall which varies the pollutants in the atmosphere. The cause for the rainfall decline is the rise in air pollution; with various pollutants such as PM2.5, PM10, CO2, NO2, CH4, and SO2 from various sources. The rise in CO2, increases the earth's temperature, thereby increasing global warming. In this study, the association between rainfalls, PM2.5, air quality index, and CO2 in Ajmer, Visakhapatnam, and Solan, clearly shows that rainfall will improve the quality of the air in the state/ region. The rainfall impact is seen in the decline of PM2.5 and AQI. The RMSE from the linear regression models were Ajmer (20.465), Solan (25.664) Hyderabad (24.848), and Visakhapatnam (24.618). Pollution is caused by various factors such as industrialization, construction of buildings, electricity generation, electronic radiation, human disaster, dry wind, and waste disposal. Implementing clean energy and solar energy in every building in residential areas reduces PM2.5 and improves AQI. It is the responsibility of each citizen to help the nation to attain reach nets zero carbon.

As the rate of visual information interchange on the Internet increases, image encryption has become a key method to secure image information. Here, an efficient image encryption technique was investigated. It employed Genetic Algorithm (GA) and Secure Force Algorithm (SF), along with using chaotic maps' transpositions on bit-level to remove the deep correlations between pixels. This study examined the efficiency of the technique with respect to security analysis, using entropy, histogram, correlation, NPCR, UACI, and sensitivity tests. The obtained results were outstanding, the average entropy was 7.999 (theoretical value is 8). Besides that, the coefficient correlation was almost zero which means that plain and ciphered images have no relevance to each other. Ciphered image's histograms were fairly uniformed, confirming that ciphered images have no statistical resemblance to original images and making no suggestions about how to implement statistical attacks. Because the proposed cryptosystem is more stable in the face of prevalent attacks, it can be used for secure applications and secure communication.

The scientific and technological achievements trigger people’s desire to learn new things and sometimes it turns into a competition among individuals. The competitive environmental so makes an important psychological pressure on individuals and it may manipulate their choices about their educational careers. Artificial neural networks are widely utilized to reach to a short-cut solution and as a method of decision making. The role of the machine learning techniques and data mining algorithms to define the factors affecting students’ success is important. The aim of this research is to make predictions about these factors by using Adaptive-Network Based Fuzzy Inference Systems (ANFIS). Student Performance data set in UCI platform is used for classification part of this study.

In this study, an empirical analysis was conducted to determine whether the system quality, information quality, and service quality of outsourced e-communication channel services affects user satisfaction and user trust, whether user satisfaction and user trust affect individual performance and organizational performance, and whether individual performance and organizational performance are associated with one another. After conducting hypothesis tests for the whole survey data, it was concluded that user satisfaction and user trust would be affected by the system quality, information quality, and service quality of outsourced e-communication channels. It would also appear that user trust is associated only with individual performance, whereas user satisfaction was related closely to both individual and organizational performance. The trust that the user has in the outsourced e-communication channel services is positively related with individual benefits, but has no effect on organizational performance. Furthermore, the individual performance and organizational performance of outsourced e-communication channel services mutually influence one another. Additionally, this study attempted to evaluate the differences between factors influencing the performance of the outsourced e-communication channel services of profit and non-profit organizations. The results demonstrated that the factors affecting the performance of outsourced e-communication channel services differed between the profit and non-profit organizations. In the final section of this paper, the implications of our research findings are discussed and the limitations of the study are addressed.