The main objective of this research aims to do the circular economy by using robotics process automation (RPA) for the most efficient and comprehensive use of resources. RPA based on the large amounts of data that can contribute to increase the efficiency within company. To achieve this goal, in this research emphasized on the systems that could be used in accounting system to make invoice process more efficient. Uipath is one of the most popular RPA tools can be utilized to streamline the process. There are six processes in RPA implementation methodology for circular economics system 1. Planning: to identify which processes is the highest potential to automate and is coming forward with new business models 2. Analysis: to identify the exiting process that is manually and repetitive or rule-based 3. Design: to design the activities diagram and data structure 4. Development: to do the data conversion using Omnipage OCR engine and do the data type determination for classification using machine learning 5. Testing RPA implementation in UiPath and 6. Support and Maintenance. The results from this study demonstrated that the accuracy of RPA for invoice system using Uipath and Omnipage OCR is 85.51%. After data cleansing by data manipulation manually and using machine learning extractor, the result is 100% accurate before recording into the database. It can be concluded that Uipath has gained user acceptance and more opportunities are available in the market because using Uipath has drastically reduced the operational costs and increased productivity. On-going research, to develop the web application to do more analytics for the most efficient in circular economy.

The effective evaluation of singular integrals has always been an important issue in boundary element method (BEM), and many effective methods have been developed to handle them. But it is also extremely difficult to solve such problems because of the properties of the method. Based on the existing methods. This work presents a new method for avoiding the calculation of singular integrals, and the paper is the first attempt to apply the new method for the three-dimensional potential problems. There are several benchmark numerical examples indicate the high efficiency and the stability of the proposed technique.

The paper examines the current state and the possibilities of using contemporary approaches and tools in HelpDesk systems development and implementation with the aim to examine its advantages and disadvantages. The disadvantages are accurately analyzed and the paper gives clear guidance how to eliminate them. It has been noticed that current design and development approaches have their own advantages and disadvantages. The application of the unified approach that combines the best individual characteristics of the existing approaches enables development of an automated HelpDesk system that is capable of expanding its own expertise. By combining unified aspect approach with the zero tolerance model driven approach, a new innovative approach to the development of a wide range of expert systems is obtained. This innovative approach is characterized by the highest possible degree of modularity. The application of the aforementioned approaches has also enabled expansion and improvement of the existing expert systems used for servicing numerous companies operating in various fields of business.

In inter planetary missions, the motion around the sun or variable mas body is possible. In this work we will study the motion around the central oblate body of varying mass in the Hamiltonian mechanics framework. The asphericity of the central body is taken into account tell J₂.  The Hamiltonian of the problem will be constructed in terms of Delaunay variable as canonical variables. According to the appearing of time explicitly, transformation to the augmented phase space must be dune. The Hamiltonian of the problem, in the augmented phase space, will be doubly averaged to eliminate, in successive, the short and long periodic variables. The elements of transformation and the inverse transformation will be outlined.The variation in the orbital elements will be studied analytically and graphically.

The numerical investigations of unsteady MHD flow past a rotating semi-infinite plate with inclined magnetic field are presented in this paper. The fluid under consideration is considered to be electrically conducting. A variable magnetic field is subjected to the fluid at an inclined angle of α in the z-axis in the xy plane. The governing equations that model the MHD problem are nonlinear hence the explicit finite difference method is used to discretise them coupled with the Gauss Seidel iteration technique. The equations are then non-dimensionalised together with the boundary conditions using various dimensionless parameters and numbers. Various flow parameters such as Prandtl number, Grashof number, magnetic parameter, Hall parameter, magnetic Reynolds number, Hartman number, Joule heating parameter, Eckert number and Schmidt number are varied and their effects on velocity, temperature and species concentration are investigated and discussed. It is noted that these parameters have significant effect on the velocity, temperature and species concentration profiles and mass transfer of the fluid.

The strategic success of an organization vitally depends on attracting and retaining top talented employees within organization for a longer time. However, retaining employee is a challenging task. This is because organization should determine the factors causing employee loss in order to avoid the problems causing employee loss in organization. This research focuses on investigation of the major factors that cause employee loss and develop a predictive model that support the decision making process of human resource management executive to understand and improve the determinant factor for employee loss and reduce the attrition rate. The research proposes K-nearest neighbors based model for employee attrition prediction that supports data driven decision making of organization to explore the factors causing employee lose and reduce the employee loss within organization. Finally, we have analyzed the performance of the proposed model with experimental test and result appears to prove that the model is effective on predicting the employee attrition. Overall, the model has performed with a predictive accuracy of 86.7%.