-
GIS-Based Analysis of Changing Surface Water in Rajshahi City Corporation Area Using Support Vector Machine (SVM), Decision Tree & Random Forest Technique
Mahbina Akter Mim,
K. M. Shawkat Zamil
Issue:
Volume 3, Issue 2, June 2018
Pages:
11-17
Received:
22 July 2018
Accepted:
1 August 2018
Published:
3 September 2018
Abstract: Water is one of the essential natural resources of nature. All living creature depends on water. Living creatures are using water for their different purposes. Earth’s large portion is covered by salt water but very less has fresh water. Freshwater can be found as groundwater and surface water. Surface water is stored as waterbodies on the surface of this world. Ponds, canals, rivers, and lakes are some of the waterbodies that provide fresh water to us. These waterbodies are fulfilling our need for fresh water. Most of the waterbodies are drying up for natural disasters or they are continuously filling by humans. These resources need some of our attention to preserve them. Rajshahi Development Authority (RDA) and United States Geological Survey (USGS) provide important data for this research. Waterbodies are detected by using Geographic Information System (GIS), GIS gives us the power of mapping and store, detect, and manipulate spatial or geographic data. Images are collected from the Landsat 4-5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI). They are classified by using ArcGIS. Images are classified in maximum likelihood classification by generating signature files to extract feature. Percentage of waterbodies in each year is calculated from the attribute table. A dataset is prepared from these features and tested on different classification techniques. Support Vector Machine (SVM), Decision Tree and Random Forest Technique are implemented on this dataset. Among them, Random Forest shows 92% accuracy, which is better from other techniques. These algorithms also measure the precision, recall, and f1 scores of the classifiers. The precision, recall, and f1-score of random forest technique show 0.943, 0.920, 0.922, which indicate better accuracy than other techniques.
Abstract: Water is one of the essential natural resources of nature. All living creature depends on water. Living creatures are using water for their different purposes. Earth’s large portion is covered by salt water but very less has fresh water. Freshwater can be found as groundwater and surface water. Surface water is stored as waterbodies on the surface ...
Show More
-
Experimental Study of Hydrodynamic Characteristics and Heat Transfer for a Fluid Flow into a Non-Traditional Machining
Issue:
Volume 3, Issue 2, June 2018
Pages:
18-27
Received:
6 August 2018
Accepted:
17 August 2018
Published:
13 September 2018
Abstract: The non-traditional method used in this work was an electrochemical machining. The experimental work includes designing of machining cell, preparing of fluid solution, selecting the work piece and designing of test rig. The aim of this paper was obtain the gap profile which based on the deviation with respect to equilibrium gap width, also, the electrolyte conductivity deviation with respect to inlet electrolyte conductivity along flow path with the effect electrolyte temperature was obtained for the machining cell. A particular machining cell of two dimensions of (30 mm) width and (50 mm) length, with two dimension turbulent flow for an electrolyte in gap has been selected. For this machining cell, an electrolyte solution (10% w/w NaCl) and the work piece (En8 mild steel) are used. The influence of various parameters, such as supply voltage(12 to 18 volt), tool federate(0.35 to 1.65 mm/min), electrolyte flow rate(5 to 30 lit/min), temperature (40°C) and back pressure (0 to 6 bar) on the gap width and electrolyte conductivity profiles along flow path of the machining cell. The inlet operating parameters for the machining cell were selected within the range of industrially realistic machining circumstances. The optimal control on flow rate and temperature of a electrolyte which refers to gap width without deviation are observed experimentally.
Abstract: The non-traditional method used in this work was an electrochemical machining. The experimental work includes designing of machining cell, preparing of fluid solution, selecting the work piece and designing of test rig. The aim of this paper was obtain the gap profile which based on the deviation with respect to equilibrium gap width, also, the ele...
Show More
-
Vertex Colorings of Graph and Some of Their Applications in Promoting Global Competitiveness for National Growth and Productivity
Abdulazeez Idris,
Bashir Ismail,
Mustapha Usman Jama’are,
Dahiru Zaharaddeen
Issue:
Volume 3, Issue 2, June 2018
Pages:
28-32
Received:
28 July 2018
Accepted:
21 August 2018
Published:
19 September 2018
Abstract: This paper studies various results on vertex colorings of simple connected graphs, chromatic number, chromatic polynomials and some Algebraic properties of chromatic polynomials. Results were obtained on the roots of chromatic polynomials of simple connected graphs based on Read’s conjecture. The chromatic number of every graph is the minimum number of colors to properly color the graph. Chromatic polynomial of a graph is a polynomial in integer and the leading coefficient of chromatic polynomial of a graph of order n and size m is always 1, whose coefficient alternate in sign. Through the application of famous graph theorem (the hand shaking lemma) by whiskey which states that: “the order of a graph twice its size”. Hence, every graph has a chromatic polynomial but not all polynomials are chromatic. For example, the polynomial λ5 − 11 λ4 + 14 λ3 − 6 λ2 + 2 λ is a polynomial for a graph on five vertices and eleven edges which does not exists. Because the maximum number size for a graph of order five is ten. The paper equally gave some practical applications of Vertex coloring in real life situations such as scheduling, allocation of channels to television and radio stations, separation of chemicals and traffic light signals.
Abstract: This paper studies various results on vertex colorings of simple connected graphs, chromatic number, chromatic polynomials and some Algebraic properties of chromatic polynomials. Results were obtained on the roots of chromatic polynomials of simple connected graphs based on Read’s conjecture. The chromatic number of every graph is the minimum numbe...
Show More
-
Analysis on Detection of Chalkiness for Myanmar Rice Using Image Processing
Issue:
Volume 3, Issue 2, June 2018
Pages:
33-48
Received:
12 August 2018
Accepted:
28 August 2018
Published:
25 September 2018
Abstract: The paper presents the analysis on detection of chalkiness of Myanmar Rice using image processing with the help of MATLAB. Chalkiness is a major control in rice production because it is one of the key factors determining grain quality (appearance, processing, milling, storing, eating, and cooking quality) and price. Its reduction is a major goal, and the primary purpose of this study was to scrutinize the genetic basis of grain chalkiness. Recent researches have shown that elevated nighttime air temperatures (NTATs) could contribute to increased chalk and reduced milling quality. Machine vision has been used in a most application of grain classification to differentiate rice varieties based on special features such as shape, length, chalkiness, colour and internal damage of rice. There are many kinds of rice in Myanmar. Among them, the Enatha, KaungNyib, nurserySticky, Paw-San and Zee Yar are famous types of rice for daily usages in Myanmar. In this paper, the analysis has been emphasized on those kinds of rice with the help of image processing techniques. The detection method for rice chalkiness has been analysed on the various kinds of Myanmar rice such as Ematha (20%) 1.0A, KaungNyin3, nurserySticky110, Paw-San C and zee yar10. The results show that the rice chalkiness distribution function based on area of interest (location) and is could be measured with chalkiness intensity in this paper.
Abstract: The paper presents the analysis on detection of chalkiness of Myanmar Rice using image processing with the help of MATLAB. Chalkiness is a major control in rice production because it is one of the key factors determining grain quality (appearance, processing, milling, storing, eating, and cooking quality) and price. Its reduction is a major goal, a...
Show More
