Current Issue

The purpose of this research study is to examine the contributions of macro-economic various variables on economic growth of Sri Lanka, using the geometric distributed lag model. The analysis was carried out for the annual data from 1980 to 2018 of variables: Gross Domestic Product (GDP), Consumption, Consumer Price Index (CPI), Investment, Expenditures, Trade balance and Foreign Direct Investment (FDI).Stationary properties were checked by ADFunit root test and the Granger causality test were performed to assess the causal relationship between variables.The test results revealed that, consumption, expenditure, consumer price index and investment have positively and significantly impact on economic growth of Sri Lanka. Whereas foreign direct investment has negatively and significantly impact on the economic growth of Sri Lanka. The causality results confirmed that the existence of unidirectional causality from economic growth to expenditure, CPI, FDI, investment and trade balance. However, the existence of bidirectional causality between economic growth and consumption.

Mr. Martin Armstrong report [1] that at normal behavior one person can infects 2.5 people in 5 days and infects 406 people in 30 days. If reducing 50% contact, then one person infects 1.25 people in 5 days and 15 people in 30 days. If reducing 75% contact than one person infects 0.625 people in 5 days and 2.5 people in 30 days. He wanted to stress on that social distancing can really reduce the spread of Covid-19. In this paper I want to create a mathematics model that can show that how the social distancing affects the spread of Covid-19.

Point cloud data reconstruction is the basis of point cloud data processing. The reconstruction effect has a great impact on application. For the problems of low precision, large error, and high time consumption of the current scattered point cloud data reconstruction algorithm, a new algorithm of scattered point cloud data reconstruction based on local convexity is proposed in this paper. Firstly, according to surface variation based on local outlier factor (SVLOF), the noise points of point cloud data are divided into near outlier and far outlier, and filtered for point cloud data preprocessing. Based on this, the algorithm based on local convexity is improved. The method of constructing local connection point set is used to replace triangulation to analyze the relationship of neighbor points. The connection part identification method is used for data reconstruction. Experimental results show that, the proposed method can reconstruct the scattered point cloud data accurately, with high precision, small error and low time consumption.

To solve the shortage problem of the computing power provided by the single machine or the small cluster system in scientific research, we offer a collaborative computing system for users. This system has massive operation ability. It introduced a scalable mixed collaborative computing model. Through the internet and the heterogeneous computing equipment, the system uses the task decomposition model. This system can solve the research and development problem because of the shortage of capacity. To test the model, a subtask decomposition example is used. The results of the example analysis show that the computing work can obtain the shortest computation time when the number of calculation nodes is more than the number of subtasks; Maximum calculation efficiency can be achieved when the number of the calculating nodes closes to the number of subtasks. Through joint collaborative computing, the extensible mixed collaborative computing mode can effectively solve the mass computing problem for the system with heterogeneous hardware and software. This paper provides the reference for the system, which provides large scale computing power through the Internet and the research problem of due to the lack of computing ability.

This paper describes in detail about the rescheduling of production process due to the failure of cutting tool or machine breakdown during an automated batch production. In general flexible manufacturing system is incorporated in the production process to achieve the desired rate of production without any distortions during the production process. Rescheduling of production process takes place due to the following factors; poor tool life, wear in machine component, poor tool grinding, tool breakdown and machine repair. In the above stated factors, tool breakdown is the most common problem faced during most of the machining operation/production process. This paper deals in developing a algorithm to reschedule the production process during cutting tool breakdown

Music is always a human marvel in the time frame, language and culture. Furthermore, it has become a fragment of the social heritage of many regions. The current paper analyzes and talks about how a specific type of music, along with its fame, takes the position of alternative music in style and introduction. The aim and the objective to conduct this study are to understand the background of the famous Bhojpuri traditional song ―Kajriǁ and how it is can be categorized as under musical communication. The focus of the examination is to grasp the communicative aspects of ―Kajriǁ and some more about their way of entertainment. Apart from collecting fresh data of tradition, religious beliefs of the indigenous cultures, the emphasis was laid on the qualitative assessment of the data and comparing them. And, Secondary data had been collected from library search, Journals, Books, and web sites pages. The paper will essentially be in view of the Indian melodic setting, especially Hindustani Music. Traditional and semi-classical music is a sort of music that has a norm, style, punctuation, standards, and performed by gifted artists. Indeed, to see and appreciate tones requires some knowledge and understanding of the genre. Then again, people's music is a sort of customary music of average folks of a specific local area generally to portray a verse