Computer Aided Reverse Engineering with Renishaw Digitizer for Digitization and Mazak for Model Fabrication

Application of reverse engineering (RE) is gaining its popularity in product design and manufacturing in recent years. It takes whatever methods, manual or computer-aided methods, to duplicate an existing object or system, either hardware or software. This report discovers about the process of exploring technical challenges to automatically generate computer-aided design (CAD) of an existing part using touch probe imaging techniques. This concept, computer-aided reverse engineering system has a potential for faster model duplication over traditional reverse engineering technologies. RENISHAW 3D Laser Digitizer was used to digitize the object and then the models were saved in IGES file format. CATIA CAD then has been used to create the solid model of the object, and finally the laminated object will be manufactured using MAZAK machine. In this project, a soccer boot has been reverse engineered. A prototype of the shoe was fabricated using the CNC codes that were obtained from UG NX3. The methodology of this process was presented, and this case study illustrated the RE approach. Technical challenges and future research directions in computer aided reverse engineering were identified. This approach has proved that, CAD Reverse Engineering increased the effectiveness in remodeling a product. These benefits include to reduce the time consume when generating the coordinates and also to get an accurate dimension of the object. It means that, complex contours of the shoe can be machined accurately by using this approach

Computer Aided Reverse Engineering with Renishaw Digitizer for Digitization and Mazak for Model Fabrication

Application of reverse engineering (RE) is gaining its popularity in product design and manufacturing in recent years. It takes whatever methods, manual or computer-aided methods, to duplicate an existing object or system, either hardware or software. This report discovers about the process of exploring technical challenges to automatically generate computer-aided design (CAD) of an existing part using touch probe imaging techniques. This concept, computer-aided reverse engineering system has a potential for faster model duplication over traditional reverse engineering technologies. RENISHAW 3D Laser Digitizer was used to digitize the object and then the models were saved in IGES file format. CATIA CAD then has been used to create the solid model of the object, and finally the laminated object will be manufactured using MAZAK machine. In this project, a soccer boot has been reverse engineered. A prototype of the shoe was fabricated using the CNC codes that were obtained from UG NX3. The methodology of this process was presented, and this case study illustrated the RE approach. Technical challenges and future research directions in computer aided reverse engineering were identified. This approach has proved that, CAD Reverse Engineering increased the effectiveness in remodeling a product. These benefits include to reduce the time consume when generating the coordinates and also to get an accurate dimension of the object. It means that, complex contours of the shoe can be machined accurately by using this approach

A pilot study on assessment of knowledge and clinical reasoning in acute asthma management among healthcare provider in emergency department HUSM using k-cramed inventory

Introduction: Acute asthma attack is a common presentation to emergency department. Thus, healthcare provider at emergency department need to have sufficient knowledge and acceptable level of clinical reasoning to manage such cases. Objective: This study aimed to determine the cut off score for level of knowledge and clinical reasoning in acute asthma management through standard setting. Then attempt to assess level of knowledge and clinical reasoning in acute asthma management among healthcare provider in Emergency Department Hospital Universiti Sains Malaysia. Methodology: This study was a cross-sectional study from January 2017 until March 2017 at Emergency Department (ED) Hospital Universiti Sains Malaysia (HUSM). All healthcare provider available at ED HUSM from January 2015 until March 2015 were included. Purposeful sampling was used, and a total of 178 participants were involved in this study. K-CRAMED inventory were used as the tool to assess knowledge and clinical reasoning. Descriptive statistics were expressed as frequency (percentage) or mean ± standard deviation for numerical variables. For association study, Independent- Sample T Test, Pearson Correlation test and One-Way ANOVA were used. Standard setting was implemented using Angoff Method and Modified Angoff Method involving five specialists from ED HUSM. Results: Participants for this study consists of 178 people. The participants consist of 68 (38.2%) staff nurses, 66 (37.1%) postgraduate students, 20 (11.2%) medical assistants, 15 (8.4%) house officers and 9 (5.1%) service medical officers. Most healthcare provider had working experience of between 5-10 year, which was 55.6%, 38.8% participant had experience less than five years, and another 5.6% had working experience of more than 10 years. Standard setting using Angoff Method and Modified Angoff Method and was done with five emergency physicians from ED HUSM. Cut off score for adequacy of knowledgewere highest in the postgraduate students group with 75.6%, while the lowest cut off score was for the medical assistant group and staff nurses group with 28.4%. For level of clinical reasoning, postgraduate students received the highest cut off score of 66.8%, while the lowest cut off score was 29.9% also shared by both medical assistants and staff nurses group. This study found that majority of postgraduate students had inadequate knowledge (78.8%) and inadequate clinical reasoning (90.9%). A proportion of service medical officers, house officers, medical assistants and staff nurses also having inadequate level of clinical reasoning with total of 55.6%, 13.3%, 25.0% and 39.7% respectively. Association study found that males had higher mean score than female in level of knowledge (p = 0.020). However, there was no significant difference in level of clinical reasoning with gender (p = 0.055). Increase in age had a moderate positive correlation with level of knowledge (p = 0.000) and level of clinical reasoning (p = 0.047). While work experience had no relationship with level of knowledge (p = 0.053) or level of clinical reasoning (p = 0.539). Conclusions: Majority of postgraduate students had inadequate level of knowledge and clinical reasoning. A proportion of other healthcare provider also having inadequate level of clinical reasoning. Intervention by the department is needed to fill in the knowledge gap and to achieve acceptable level of clinical reasoning

Chemical constituents from pericarp of garcinia mangostana linn / Siti Aisyah Mohamed Azlan

Garcinia mangostana L. is a tropical tree from Southeast Asia and its fruit pericarp is a well-known traditional medicine. Extraction and isolation were carried out by chromatographic and spectroscopic technique respectively. A hexane extract of Garcinia mangostana L. pericarp shows abundant of xanthones compounds and three xanthones that being identified and elucidated their structure were a-mangostin (4), p-mangostin (12) and garcinone D (39). Their structures were elucidated on the basis of IR, UV, NMR and MS spectroscopic data, in addition to comparison with literature data

Optimized Segmentation of Cellular Tomography through Organelles' Morphology and Image Features

Computational tracing of cellular images generally requires painstaking job in optimizing parameter(s). By incorporating prior knowledge about the organelle’s morphology and image features, the required number of parameter tweaking can be reduced substantially. In practical applications, however, the general organelles’ features are often known in advance, yet the actual organelles’ morphology is not elaborated. Two primary contributions of this paper are firstly the classification of insulin granules based on its image features and morphology for accurate segmentation – mainly focused at pre-processing image segmentation and secondly the new hybrid meshing quantification is presented. The method proposed in this study is validated on a set of manually defined ground truths. The study of insulin granules in particular; the location, and its image features has also opened up other options for future studies

An implementation review of occlusion-based interaction in augmented reality environment

Augmented Reality (AR) technology shows some potential in providing new approach of interaction with computer.It shares similar potential in Virtual Reality (VR) but at lower cost.In this paper, an AR application is developed to explore the capability of the interaction approach called Occlusion Based Interaction using low cost device.The implementation of the application is utilizing the ARToolKit library as the main library to handle the AR part while OpenGL and GLUT to handle the graphics manipulation and windows management respectively

Blood profile of rusa deer (Cervus timorensis).

The objective of the study was to establish the reference range for blood and coagulation parameters in normal, healthy male and female rusa deer (Cervus timorensis) of different ages. The study was conducted at Taman Pertanian Universiti, Universiti Putra Malaysia. The sample population comprised of 40 rusa deer, which was divided into 4 groups of 13 young (≤1-year-old) males, 5 young females, 13 adult males and 9 adult females. Jugular venous blood samples were collected to determine concentrations of blood and coagulation parameters. The data obtained were normally distributed. However, the analytical results revealed that significant (p0.05) in blood or coagulation parameters was observed between sex in the young deer. Between age group, adult deer had significantly (p<0.05) higher mean cell volume, plasma protein and globulin concentrations than young rusa deer. Thus, it is necessary to take into account the age and sex when using blood reference values for the diagnosis of diseases in the rusa deer

Accelerating digital talent readiness in Malaysian banking sector: A study on technology adoption through the intention to use customer-focused digital solutions

The COVID-19 pandemic has accelerated the digital transformation of the banking sector, both globally and locally. As the adoption of new technology relies on the perception and behavior of users towards the system, bank employees need to have the intention to use digital solutions implemented by the organization. The purpose of this research is to examine the influence of job relevance, perceived usefulness, perceived ease of use and perceived self-efficacy on the intention to use digital solutions. A quantitative approach using a purposive sampling technique was carried out, where a survey was conducted involving 313 employees at a local retail bank’s headquarters in Kuala Lumpur. The results showed that job relevance and perceived usefulness had a significant positive influence on the intention to use digital solutions, with job relevance being a unique and important predictor. However, perceived ease of use and perceived self-efficacy did not have a significant impact on the intention to use digital solutions among the retail bank’s employees. These findings suggest that the employees are already adept and comfortable in using digital solutions as they have developed the necessary skills and aptitude. This research contributes to the understanding of factors that can influence the intention of banking employees to use digital solutions, based on an extended Technology Acceptance Model developed for this study. This research further recommends the implementation of change management strategies, focus on acquiring on-premise database management and developing a digital talent readiness roadmap for talent acquisition &amp; retention

An Improved Object Detection and Trajectory Prediction Method for Traffic Conflicts Analysis

Although computer vision-based methods have seen broad utilisation in evaluating traffic situations, there is a lack of research on the assessment and prediction of near misses in traffic. In addition, most object detection algorithms are not very good at detecting small targets. This study proposes a combination of object detection and tracking algorithms, Inverse Perspective Mapping (IPM), and trajectory prediction mechanisms to assess near-miss events. First, an instance segmentation head was proposed to improve the accuracy of the object frame box detection phase. Secondly, IPM was applied to all detection results. The relationship between them is then explored based on their distance to determine whether there is a near-miss event. In this process, the moving speed of the target was considered as a parameter. Finally, the Kalman filter is used to predict the object\u27s trajectory to determine whether there will be a near-miss in the next few seconds. Experiments on Closed-Circuit Television (CCTV) datasets showed results of 0.94 mAP compared to other state-of-the-art methods. In addition to improved detection accuracy, the advantages of instance segmentation fused object detection for small target detection are validated. Therefore, the results will be used to analyse near misses more accurately