Series - 1 [October - 2019]

Paper Title :: Analysis of Coastal Characteristics in Canggu Area Badung Regency
Author Name :: I Gusti Agung Putu Eryani
Page Number :: 01-08
:: 10.9790/1813-08010010108   

Coastal in Cangguarea is one of the coastal areas in Badung Regency which has a large tourism potential and has a variety of beach functions. Given the importance of the function and role of beaches in the Canggu area, their existence needs to be maintained.Managing of coastal damage can be done effectively if knowledge of damaging or building characteristics in the area is known.This research aims to analyze the characteristics of coastal in Cangguarea which later by knowing these characteristics can be determined appropriate coastal damage management strategies of the coastal in Canggu area, so that the existence of the coastal in the Canggu Area can be maintained.This research is a descriptive research to find out the characteristics of the coastal in the Canggu area, Badung Regency by taking three coastal as research locations...........

Keywords - Coastal, morphological characteristics, hydro oceanography.

@article{key:article,
author = {I Gusti Agung Putu Eryani},
title = {Analysis of Coastal Characteristics in Canggu Area Badung Regency},
journal = {The International Journal of Engineering and Science},
year = {2019},
volume = {08},
number = {10},
pages = {01-08},
month = {October}
}
Paper Title :: Saw Dust As Full Replacement Of Fine Aggrgate In Lightweight Concrete: Any Comparable Strength?
Author Name :: Ugwu J.N.
Page Number :: 09-11
:: 10.9790/1813-08010010911   

This study is on the experimental investigation of fully replacing sand with sawdust on the compressive property of concrete. Design mix ratio 1:2:4 and w/c of 0.58 were used and 24 concrete cubes were cast. 12 cubes were for the sand concrete used as control samples and 12 cubes for the sawdust concrete. The compressive strength of the sawdust concrete was compared with the sand concrete to check their strength gain. The result of the study gave that both the weight and compressive strength of sawdust concrete decreased significantly and the gain in strength was very poor. The gap in the strength gain between the two concrete cannot be compared at all hence, some percentage replacement using sawdust is needed to ascertain its optimum for use as lightweight concrete.

Keywords - Sawdust, Pollution, Environment, Lightweight Concrete, Aggregate.

@article{key:article,
author = {Ugwu J.N.},
title = {Saw Dust As Full Replacement Of Fine Aggrgate In Lightweight Concrete: Any Comparable Strength?},
journal = {The International Journal of Engineering and Science},
year = {2019},
volume = {08},
number = {10},
pages = {09-11},
month = {October}
}
Paper Title :: Improvement of Emission Color and Efficiency in Blue Light Emitting Organic Devices Using External Microcavity
Author Name :: Akiyoshi Mikami
Page Number :: 12-17
:: 10.9790/1813-08010011217   

An external microcavity structure was introduced to the stacked cathode in organic light emitting devices, and the influence on the luminescent characteristics were investigated. From the detail optical analysis, it was clarified that the surface plasmon loss in a metal cathode can be reduced to about one fifth by using a semitransparent thin film cathode, and can be extracted outside by the microcavity effect after being converted to the thin film waveguide mode. More than 50% of optical power in dipole emission was successfully utilized as the external and substrate modes. The luminous efficiency was increased about 1.4 times, and the color purity of the blue emission was also improved. The relationship between the external microcavity effect and surface plasmon coupling will be discussed from a viewpoint of optical analysis.

Keywords - Organic light-emitting diode, Light extraction, Microcavity, Surface plasmon.

@article{key:article,
author = {Akiyoshi Mikami},
title = {Improvement of Emission Color and Efficiency in Blue Light Emitting Organic Devices Using External Microcavity},
journal = {The International Journal of Engineering and Science},
year = {2019},
volume = {08},
number = {10},
pages = {12-17},
month = {October}
}
Paper Title :: Incorporating feature derivation into machine learning to predict software project duration
Author Name :: Qingkang Zhu || Hongbo Li
Page Number :: 18-21
:: 10.9790/1813-08010011821   

A common problem in software development is that many projects cannot be finished on time. Inaccurate estimation of the project duration is one important reason to this phenomenon. In view of this, we incorporate feature derivation into three machine learning algorithms (i.e., multiple linear regression, multi-layer perceptron and decision tree) to predict software project duration as accurately as possible. We use cross-validation to compare the performance of the duration prediction algorithms. Two evaluation criteria are adopted to measure the algorithms: mean magnitude of relative error (MMRE) and PRED(25%). Based on data of143 projectsthat are collected from an open source code management platform, we conduct experiments to test the duration prediction algorithms.

Keywords - Software project duration prediction; Feature derivation; Machine learning.

@article{key:article,
author = {Qingkang Zhu || Hongbo Li},
title = {Incorporating feature derivation into machine learning to predict software project duration},
journal = {The International Journal of Engineering and Science},
year = {2019},
volume = {08},
number = {10},
pages = {18-21},
month = {October}
}
Paper Title :: Precipitation forecast model for hydrological units using artificial neural networks (ANN)
Author Name :: Victor Rogelio Tirado Picado
Page Number :: 22-34
:: 10.9790/1813-08010012234   

Duringhiscareer he has done importantwork as a consultantengineer and researcher in different projectsofhydraulic and environmentalengineering, it has beenpartofexaminers in differentmonographs Civil Engineering. He iscurrently Director ofConstruction Departmentofthe FacultyofScience and Engineering UNAN-Managua. Doctor ofSciencegraduate, majoring Civil Engineering, withfilterdesignwork as processwaterpurification in smallcommunities in Atlantic International University. He has publishe dprestigiouseng ineering works of nationalinterest, among which research papers, essays and books stand out.

Keywords - Artificial Neural Networks, Precipitation, hydrogeologicalunit, waterstations.

@article{key:article,
author = {Victor Rogelio Tirado Picado},
title = {Precipitation forecast model for hydrological units using artificial neural networks (ANN)},
journal = {The International Journal of Engineering and Science},
year = {2019},
volume = {08},
number = {10},
pages = {22-34},
month = {October}
}