Determinants of Private Savings Effect on Economic Growth in Ethiopia

Private saving is a very important factor in bringing economic development, its working or efficiency is determined by different socio economic and political factors. In Ethiopia, private saving does not have a deep-rooted history because of frequent policy changes following the changes of government. The objective of this paper is to analyse the determinants of private saving in Ethiopia and also to check the long run or short run impact of real per capita GDP, real deposit interest rate, age dependency ratio, inflation rate and number of bank branches on private savings using time series annual data from 1978 to 2018. The research methodology employed are tests such as testing for stationery (unit root test) and co-integration test, rank of co-integration determined by using ARDL (Autoregressive- Distributed Lag) to characterize long-run and the short-run relationship between private saving and independent variables.  The model is estimated by using Ordinary Least Square (OLS) and/or E-Views 10 also offered a specialized estimator for handling ARDL model. The estimated results revealed that real per capita GDP, real deposit interest rate, age dependency ratio and number of bank branches have found to be statistically significant and positive effect (but real per capita GDP negative in the short run) on private savings while inflation rate is found non-significant and negative effect on private savings in Ethiopia both in the long and short run periods in the study period. Based on the result, the researcher concluded that level of real per capita GDP and number of bank branches is found to be important variable and have very significant impact on private savings. Finally, the study recommended that the national level policy makers or decision makers has to take measure to improve income levels of society and special attention to increases financial access throughout the country by further expanding bank branches or other financial institutions  and their services to increase private savings. Keywords: Determinants of private savings, Economic growth, ARDL, co-integration, Ethiopia DOI: 10.7176/JPID/60-01 Publication date:July 31st 202

A Hybrid Multi-user Cloud Access Control based Block Chain Framework for Privacy Preserving Distributed Databases

Most of the traditional medical applications are insecure and difficult to compute the data integrity with variable hash size. Traditional medical data security systems are insecure and it depend on static parameters for data security. Also, distributed based cloud storage systems are independent of integrity computational and data security due to unstructured data and computational memory. As the size of the data and its dimensions are increasing in the public and private cloud servers, it is difficult to provide the machine learning based privacy preserving in cloud computing environment. Block-chain technology plays a vital role for large cloud databases. Most of the conventional block-chain frameworks are based on the existing integrity and confidentiality models. Also, these models are based on the data size and file format. In this model, a novel integrity verification and encryption framework is designed and implemented in cloud environment.  In order to overcome these problems in the cloud computing environment, a hybrid integrity and security-based block-chain framework is designed and implemented on the large distributed databases. In this framework,a novel decision tree classifier is used along with non-linear mathematical hash algorithm and advanced attribute-based encryption models are used to improve the privacy of multiple users on the large cloud datasets. Experimental results proved that the proposed advanced privacy preserving based block-chain technology has better efficiency than the traditional block-chain based privacy preserving systems on large distributed databases

Assessment of Large Taxpayers’ Satisfaction with Tax Service Delivery System: A Study on Ethiopian Large Taxpayers’ Office, Ethiopia

The main objective of the study is to assess the large taxpayers’ satisfaction with service delivery in Ethiopian Large taxpayers’ office. To achieve the objective, the mixed research approach was employed in order to counter balance the quantitative and qualitative data results of the study and sample data was collected from 298 large taxpayers’ by survey method. In survey method questionnaire and in-depth interview was used to collect the data. Quantitative data was analyzed by using descriptive and inferential analysis and thus, non parametric statistical test was used to test the hypothesis. Interview guides were designed to collect relevant information from tax officials and experts of the branch office. The collected data was analyzed by non- parametric test and correlation analysis with help of SPSS and Microsoft office excel.  The result of the study revealed that service quality and delivery dimensions and complaints handling mechanisms have significant and positive correlation with large taxpayers’ satisfaction. Finally, a due attention should be given to service quality dimensions, complaint handling procedure and service delivery dimensions to increase large taxpayers’ satisfaction level in the branch office. Keywords: Large taxpayers’, Satisfaction, Service Quality, Service Delivery, Complaints Handling

Esthetic Replacement of Maxillary Lateral Incisor with Mary Lever Prosthesis: A Novel Conservative Approach

Dentists often question the use of resin-bonded fixed partial dentures (RBFPDs) for reliable restoration of tooth-bound edentulous spaces. Initial attempts at bonding fixed partialdentures on teeth resulted in early failure due to debonding. In the 1980s and 1990s, improvements in preparation methods, metal alloys and bonding techniques made the RBFPD a more predictable option. This article provides a case report of a restoring a missing maxillary lateral incisor with modified Maryland with the advantages of being fixed to provide a stronger bond as well as being kinder to the periodontal tissues

Analytical Study of an IOT-based Accident Detection and Information Management System

Accidents wreak havoc on victims, costing them valuable time and money. After thorough investigation, it has been shown that the majority of accidents result in fatalities as a result of poor communication with the relevant medical authorities and the ensuing dearth of prompt medical attention. Several sensor nodes are combined in a single system to forecast likely accident combinations. Lab view-based simulation was used to handlepossible conditions for an accident to happen. With the IoT Interface, theproposed design would enable a novel model in the vehicular communication system to recognize various accident situations and provide associated information to the needy. The proposed model would handle all potential combinations and comparative analyses from low to high end cars, as well as provide a strategy framework for future IoT enabled v2v communication networks

Stagnation point flow of a MHD Powell-Eyring fluid over a nonlinearly stretching sheet in the presence of heat source/sink

This study investigates the stagnation point flow of a MHD Powell-Eyring fluid over a nonlinearly stretching sheet in the presence of heat source/sink. Similarity transformations are used to convert highly non-linear partial differential equations into ordinary differential equations. The transformed nonlinear boundary layer equations are then solved numerically using Keller Box method. The effects of various physical parameters on the dimensionless velocity and temperature profiles are depicted graphically. Present results are compared with previously published work and the results are found to be in very good agreement. Numerical results for local skin-friction and local Nusselt number are tabulated for different physical parameters

Multi Traffic Scene Perception Using Support Vector Machine and Digital Image Processing

Traffic accidents are especially intense for a rainy day, Night, rainy season, rainy season, ice and day without street lighting many low-level conditions. Current View Drive the help systems are designed to be done under good-nature Weather. Classification is a method of identifying Optical characteristics of vision expansion protocols more efficient. Improve computer vision in awkward manner Weather environments, multi-class weather classification system many weather features and supervision were made Learning. First, basic visual features are extracted Multiple traffic pictures, then the feature is revealed. The team has eight dimensions. Secondly, five supervision was made Learning methods are used to train instructors. Analysis the extracted features indicate that the image describes accurately the highest recognition of etymology and classmates is the accuracy rate and adaptive skills. Provides the basis for the proposed method anterior vehicle innovation increases invention Night light changes, as well as increases View of driving field on an ice day. Image feature extraction is the most important process in pattern recognition and it is the most efficient way to simplify high-dimensional image data. Because it is hard to obtain some information from the M × N × 3-dimensional image matrix. Therefore, owing to perceive multi-traffic scene, the key information must be extracted from the image

Multi User Diversity Evaluation in MIMO HSDPA Downlink Channels

A multiple transmit antenna, single receive antenna (per receiver) downlink channel with limited channel feedback is considered. Given a constraint on the total system-wide channel feedback, the following question is considered: is it preferable to get low-rate feedback from a large number of receivers or to receive high-rate/high-quality feedback from a smaller number of (randomly selected) receivers. Acquiring feedback from many users allows multi-user diversity to be exploited, while highrate feedback allows for very precise selection of beamforming directions. It is shown that systems in which a limited number of users feedback high-rate channel information significantly outperform low-rate/many user systems. The marginal benefit of channel feedback is very significant up to the point where the CSI is essentially perfect