Comparison New Algorithm Modified Euler Based on Harmonic-Polygon Approach for Solving Ordinary Differential Equation

There are many benefits to improve Euler scheme for solving the Ordinary Differential Equation problems. Among the benefits are simple implementation and low-cost computation. However, the problem of accuracy in the Euler scheme persuades scholar to use the complex method. Therefore, the main purpose of this research is to show the development of a new modified Euler scheme that improves the accuracy of the Polygon scheme in various step sizes. The implementation of the new scheme is by using the Polygon scheme and then Harmonic mean concept that is called the Harmonic-Polygon scheme. This Harmonic-Polygon scheme can provide new advantages more than the Euler scheme could offer by solving Ordinary Differential Equation problem. Four set of problems are solved via Harmonic-Polygon. Findings showed that new scheme or Harmonic-Polygon scheme can produced much better accuracy result

Pixel Value Graphical Password Scheme: K-Means as Graphical Password Fault Tolerance

Pixel value access control (PVAC) was introduced to deliver a secure and simple graphical password method where it requires users to load their image as their password. PVAC extracts the image to obtain a three-octet 8-bits Red-Green-Blue (RGB) value as its password to authenticate a user. The pixel value must be matched with the record stored in the database or otherwise, the user is failed to authenticate. However, users which prefer to store images on cloud storage would unintentionally alter and as well as the pixel value due to media compression and caused faulty pixels. Thus, the K-Means clustering algorithm is adapted to fix the issue where the faulty pixel value would be recognized as having the same pixel value cluster as the original. However, most of K-Means algorithm works were mainly developed for content-based image retrieval (CBIR) which having opposite characteristics from PVAC. Thus, this study was aimed to investigate the crucial criteria of PVAC and its compatibility with the K-Means algorithm for the problem. The theoretical analysis is used for this study where the suitable characteristics of K-Means are analyze based on PVAC requirements. The compliance analysis might become a referencing work for digital image clustering techniques adaptation on security system such as image filtering, image recognition, and object detection since most of image clustering works was focused on less sensitive image retrieval

Surface Integrity Study For FC300 Cast Iron Using TiAIN Ball End Mill

Finishing of FC300 gray cast iron predominantly done by manual polishing. Study the surface integrity of FC300 after machining is crucial to investigate the surface characteristics before polishing. This work aims to investigate the surface profiles and subsurface alterations induced by milling of FC300 gray cast iron using TiAlN Ball end mill. Machining trials were performed using CNC variaxis machine in dry condition at the cutting speeds of 66-99 m/min, feed rates of 0.27-0.42 mm/tooth and constant depth of cut of 0.1 mm. The results shows that the surface roughness decreased as the cutting speed increased from 66 m/min to 88 m/min. Smooth and shiny surface profiles appeared at the lower cutting speed of 66 m/min due to effect of lubrication layer that formed from the small fragmented graphite flakes. When the cutting speed increased to 99 m/min, surface profiles appeared with smeared and large graphite flakes probably due to higher rotational impact from the cutting tool. Analysis of subsurface microstructure observed bending effects at the region where worn cutting tool applied. Severe crack nucleation’s were evidence to reflect severe rubbing action from worn cutting tool

Implementation of computer simulation in rubber assembly line: a case study (Rubber Research Institute Of Malaysia)

Simulation is one of the modeling techniques in solving industrial problem that can imitate the real system through model development. In Rubber Research Institute of Malaysia (RRIM), assembly line of Deproteinised Natural Rubber (DPNR) that has been operating since 1994 had never been modeled through simulation method in improving and solving the production problem. Therefore, the implementation of computer simulation in the DPNR assembly line at RRIM is appropriate to solve two main problems namely increasing production capacity, and ineffective production line. In order to achieve the objective, facilities layout, automating the process of assembly line and increase the conveyor speeds were proposed as a method to improve the current system. In this project, the simulation modeling was applied discrete event simulation and the flow manufacturing simulation as a methodology. The simulation model was developed and tested using ProModel 6.0 Network Version software. The data analysis was carried out using Stat::Fit of ProModel software. Data was collected and evaluated to determine the necessary parameters that are used in the simulation model. This project is wished to be implemented as solutions to the problem faced by the current syste

A Comparative Study for Prioritization Technique Identification for Software Project

This paper presents an overview andcomparison of available and effective prioritizationtechnique used in handling requirement. Sevenprioritization strategies have been stated: AnalyticHierarchy Process, Value Oriented Prioritization,Cumulative Voting, Numerical AssignmentTechnique, Binary Search Tree, Planning Game andB tree prioritization. Each of the technique beingdiscussed based on its characteristics. The studyaimed to examine each technique characteristics,limitation and the advantages

The Implementations of Spreadsheet Modeling for Generalized Critical Path Method

Using Excel or any form of spreadsheet for project scheduling is a convenient approach. The approach is dynamic compared to traditionally manual computations. It is also less complicated and mechanistic and rather straightforward compared to advanced programming languages. This paper intends to investigate numerous implementations of spreadsheet modeling ever worked and resulted for generalized critical path method. The approaches produced have significantly contributed to the advancements of teaching and learning and computerized applications in management science and industrial engineering. The approaches are comprehensively discussed, the advantages of respective approaches are thoroughly reviewed, their limitations are carefully addressed, and significant findings from the approaches presented are evidently derived.Key words: Critical path method; Spreadsheet modeling; Project scheduling; Operations research; Management science; Quantitative method; Industrial engineerin