Volume 9 | Issue 3 |

 Abstract

The present data is of different features of fishes out of which Weight is a response variable and others, Length1, Length2, Length3, Height, and Width are predictors. The present study is carried out with two reasons:- 1. To point out the important predictors. 2. To obtain the appropriate regression model.

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 Keywords

Backward elimination, Best subset regression, Blue revolution, Forward selection.

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 Abstract

Airport runways are built to exacting, internationallymandated standards. But frequent landing and take-off of flights lead to wear and tear of runways. Natural weather phenomena like rain and sun also affect the runway surface.Re-carpeting is essential for the safety of flights. All re-carpeting activities on runways are likely to lead to flights being rescheduled though they are not always cancelled or disrupted. Airport runways at all times need to be of a specified strength or Load Classification Number (LCN), which is a system of classification of the supporting capacity of pavements without cracking or becoming permanently deformed. Airport pavements are constructed to provide adequate support for the landing. In order to satisfactory, the pavement must be with quality and adequate thickness that it will not fail under the loads. In addition, it must possess sufficient inherent stability to withstand, without damage, the abrasive action of traffic, adverse weather conditions, and other deteriorating influences. To produce such pavements requires a coordination of many factors of design construction, and inspection to assure the best possible combination of available materials and a high standard of workmanship. The paper deals with the various methods involves in strengthening of runway pavement by examining the runway for a variety of issues including whether the aircraft is having a smooth ride as it lands, rubber deposits and removal, raveling observed at touchdown zone and rubber removal area, reflection cracks, patching on runway, pop outs and coarse aggregate loss, alligator cracking, surface irregularities on the line markings, shoving and uneven surface. Software results by considering number of flights along with loading damage ratio is calculated which results in thickness for re-carpeting further this ratio is considered for thickness of pavement if number of flights increase.

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 Keywords

Load Classification Number (LCM), Re-Carpeting, Thickness of Pavement, Pavement Design, FAARFIELD Software, California Bearing Ratio (CBR) and Pavement Maintenance Management System (PMMS).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Factors, Professionals, Impact of work.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Medicinal plants are the local heritage with universal importance. World is gifted with a rich wealth of medicinal plants. Herbs have always been the principal source of medicine in India and presently they are becoming popular throughout the world. Plants have played a significant role in maintaining the quality of human life for thousands of years and served humans as with cosmetics dyes and medicines. Traditional medicine is the oldest method of curing diseases and infection and various plants have been used in different parts of the world to treat human diseases and infection. Medicinal plants are known to owe their curative potentials through certain biologically active substances which exist in different parts of the plants. The major lacuna is the lack of proper identification and information about the medicinal plants. Justicia tranquebariensis belongs to the family Acanthaceae. Mostly the leaves are used for the medical purpose. It is one of the most important herbs being used in Ayurvedic system of medicine. Predominantly, the leaves are used for several medicinal purposes. A wide variety of biologically active constituents such as Phytosterol, Flavonoids, Glycosides, Steroids and Phytosteriods, Coumarins, Cardiac Glycosides, Glycosides, Terpenoids, Carbohydrate, Amino Acids, Gums and Mudilage, Saponins, oil and fats are present in this plant. It exhibits antioxidant, hepatoprotective, antihelmethic, cardioprotective, antiulcerogenic, bronchial asthma, anti-arthritic and antimicrobial activities. This review will focus on the phytochemical constituents isolated from the plants and phytopharmacological properties of different parts of Justicia tranquebariensis.

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 Keywords

Justicia tranquebariensis, Acanthaceae , Ayurvedic , Phytochemical, antioxidant, antibacterial activity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Azospirillum brasilense, Phylogenetic Relationship, Bradyrhizobium japonicum, indole acetic acid, gibberellin, kinetin

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technology, Information Technology (IT), Human Resource Department (HR), Recruitment, Training, Development,HRIS.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Data Mining refers to the mining of information from a large amount of data. It is the process of discovering interesting patterns and knowledge from massive data. Clustering analysis is used to find these interesting patterns or to group similar and dissimilar data. This dissimilar data can be called outliers. Outlier detection refers to the problem of finding out the patterns in the massive datasets that do not show the accordance with the generalized expected behavior. Outlier detection and analysis is sometimes known as outlier mining which means the mining of outliers.

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 Keywords

Outlier Detection, Causes of outliers, Global outliers, Contextual outliers, Collective outliers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ultimate goal of interfaith education and of peace education is for us to learn new ways of thinking and acting, based on mutual respect and shared responsibility, so that the whole human community can live in peace and can enjoy the fruits of a sustainable and equitable development. Let us come together, let us enjoy together, let there be light, let there be no hatred or poison of misunderstanding (Taitreya Upanishad). This is the key for interfaith harmony and peace, let us all pray and hope.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Interfaith Understanding, Communal Harmony, Interfaith Dailogue

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Conventional traffic optimization solutions expect that the graph structure of street systems is static and missing for further traffic flow optimization. We are interested in optimizing traffic flows as a latest type of graphbased issue, where the graph structure of a street network can adjust to traffic conditions in real time. Specifically, we focus on the dynamic setup of traffic-lane directions, which can offer assistance in adjusting the utilization of traffic paths in opposite directions. The rise of connected autonomous vehicles offers an opportunity to apply this kind of dynamic traffic optimization on a huge scale. The existing procedures for optimizing lane directions are however not appropriate for dynamic traffic situations due to their high computational complexity and the static nature. In this paper, we propose an effective traffic optimization solution, called Coordinated Learning-based Lane Allocation (CLLA), which is appropriate for dynamic setup of path directions. CLLA comprises of a two-layer multi-agent architecture, where the bottom-layer agents use a machine learning technique to discover a appropriate arrangement of lane-directions around street crossing points. The lane-direction changes proposed by the learning agents are at that point coordinated at the next level to diminish the negative impact of the changes on other parts of the street network. Our test results show that CLLA can decrease the average travel time significantly in congested street networks. We accept our method is common enough to be applied on other types of networks as well.

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 Keywords

Graphs, CLLA, Reinforcement Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Symbolism

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Creative Commons Attribution 4.0 and The Open Definition