Assembly sequence planning using hybrid binary particle swarm optimization

Assembly Sequence Planning (ASP) is known as a large-scale, timeconsuming combinatorial problem. Therefore time is the main factor in production planning. Recently, ASP in production planning had been studied widely especially to minimize the time and consequently reduce the cost. The first objective of this research is to formulate and analyse a mathematical model of the ASP problem. The second objective is to minimize the time of the ASP problem and hence reduce the product cost. A case study of a product consists of 19 components have been used in this research, and the fitness function of the problem had been calculated using Binary Particle Swarm Optimization (BPSO), and hybrid algorithm of BPSO and Differential Evolution (DE). The novel algorithm of BPSODE has been assessed with performance-evaluated criteria (performance measure). The algorithm has been validated using 8 comprehensive benchmark problems from the literature. The results show that the BPSO algorithm has an improved performance and can reduce further the time of assembly of the 19 parts of the ASP compared to the Simulated Annealing and Genetic Algorithm. The novel hybrid BPSODE algorithm shows a superior performance when assessed via performance-evaluated criteria compared to BPSO. The BPSODE algorithm also demonstrated a good generation of the recorded optimal value for the 8 standard benchmark problems

Game Application as Teaching Tool to Assist Mastering Installation of Three-Phase Motor Control Topic: Expert Perception

The learning and teaching process using conventional methods might cause students to be unable to highlight their true potential. Besides, it can be more difficult for teachers to choose the types of games that suit the curriculum and students' needs. Hence, this study aims to develop a game application as a teaching assistant tool for a three-phase direct online starter topic in Electrical Technology Malaysian Vocational Certificate subject for Vocational College students using the Android platform. Learning materials and games are developed using multimedia and interactive elements to attract students to be active in using the learning medium based on game applications as 21st-century learning tools. The development purpose of the game application is to give early exposure to students to the installation of three-phase motor control before going through the laboratory session. The behaviorism learning theory and Game development Life Cycle (GDLC) model, were implemented in the game application development in this research. The researcher used Unity 3D software is online software such as Canva and Microsoft PowerPoint design tools interactively to make a game-based learning application for the three-phase motor control installation subject. Based on the analysis of the findings, the experts agreed that the functionality of this three-phase Motor Control game application can be used well and is suitable to be used as a teaching aid. In addition, these research results can be used by teachers to increase students' interest and further make the learning process more interesting to improve student understanding

An image registration technique to enhance PCB inspection algorithms with real images

It is well known that real PCD image inspection based on referential approaches faces misalignment problems in detecting defects between a template image and a defective image. Hence, a reliable image registration technique is needed to align these two images perfectly. Hence, a registration technique which incorporates affine transformation and bi-cubic interpolation has been proposed. Experimental results have shown that this registration technique is suitable to be employed to obtain well-aligned defective images before detection algorithm takes place in PCD inspection

DNA SEQUENCE DESIGN FOR DNA COMPUTATION BASED ON BINARY PARTICLE SWARM OPTIMIZATION

Abstract. Deoxyribonucleic Acid (DNA) has certain unique properties such as selfassembly and self-complementary in hybridization, whic

A binary particle swarm optimization approach to optimize assembly sequence planning

This paper presents an approach of applying Binary Particle Swarm Optimization (BPSO) algorithm to an assembly sequence-planning (ASP) problem. Permutation encoding of sequences is used to represent particles, then those particles are strictly subjected to a precedence constraint matrix at which only the feasible sequences will be iterated in the process. An archive is used in storing the feasible sequences and a swap mechanism is used to identify the feasible sequences for iteration. As the nature of assembly sequence planning is a discrete type of problem Binary PSO technique is used

Anant colony systemfor routing in PCB holes drilling process

Most electronic manufacturing industries use computer numerical controlled (CNC) machines for drilling holes on printed circuit board (PCB). Some machines do not choose the optimal route when completing their tasks. Hence, this paper proposes an approach, which is based on ant colony system (ACS), for finding the optimal route in PCB holes drilling process. In ACS, an artificial ant starts to move from a random hole location and moves to the next hole location, based on the pheromone level between the locations of two holes. The higher the pheromones level, the higher the chance for the artificial ant to choose that path. At the same time, that ant deposits its pheromone on the path chosen. This process is repeated until the artificial ant builds a solution, which is evaluated with other artificial ants’ solutions. The best artificial ant deposits additional pheromone to its path. The best-found path is updated as the iteration continues. Experimental result indicates that the proposed ACS-based approach is capable to efficiently find the optimal route for PCB holes drilling process

Automation of DNA computing readout method based on real-time PCR implemented on DNA engine opticon 2 system

Previously, an automation of a DNA computing readout method for the Hamiltonian Path Problem (HPP) has been implemented based on LightCycler System. In this study, a similar readout approach is implemented based on DNA Engine Opticon 2 System. The readout approach consists of two steps: real-time amplification in vitro using TaqMan-based real-time PCR, followed by an in silico phase. The in silico phase consists of a data clustering algorithm and an information processing to extract the Hamiltonian path after the TaqMan \YES and \NO reactions have been identified. The result indicates that the automation of DNA computing readout method can be efficiently implemented on DNA Engine Opticon 2 System

A two-step binary particle swarm optimization approach for routing in VLSI

Manipulation of wire sizing, buffer sizing, and buffer insertion are a few techniques that can be used to improve time delay in very large scale integration (VLSI) circuit routing. This paper enhances an existing approach, which is based on Particle Swarm Optimization (PSO) for solving routing problem in VLSI circuits. A two-step Binary Particle Swarm Optimization (BPSO) approach, which is based on BPSO, is chosen in this study to improve time delay through finding the best path of wire placement with buffer insertion from source to sink. The best path of wire placement is found in the first step by the first BPSO and then the second BPSO finds the best location of buffer insertion along the wire. A case study is taken to measure the performance of the proposed model and the result is obtained compared with the previous PSO approach for VLSI routing

Cardiovascular disease risk factor: nutritional behavior among young adults

Nowadays the biggest portion of consumers for energy drinks is the young adults and the amount has increased extremely. Energy drinks intakes have been mentioned as a risk factor for cardiovascular disease. Exploration for the effect of Energy drinks effect on young adult as a risk factor for cardiovascular health were examined among university students enrolled at University Technology Malaysia, Skudai. Descriptive analysis for random sample of 40 undergraduate participants of first year to final year students was conducted. The information regarding blood pressures were collected before and after intake of energy drinks, and as a result there a statistically significant increment in the systolic blood pressure measured after ingesting energy and sport drink was identified.r