Design optimization of ANN-based pattern recognizer for multivariate quality control

In manufacturing industries, process variation is known to be major source of poor quality. As such, process monitoring and diagnosis is critical towards continuous quality improvement. This becomes more challenging when involving two or more correlated variables or known as multivariate. Process monitoring refers to the identification of process status either it is running within a statistically in-control or out-of-control condition, while process diagnosis refers to the identification of the source variables of out-of-control process. The traditional statistical process control (SPC) charting scheme are known to be effective in monitoring aspects, but they are lack of diagnosis. In recent years, the artificial neural network (ANN) based pattern recognition schemes has been developed for solving this issue. The existing ANN model recognizers are mainly utilize raw data as input representation, which resulted in limited performance. In order to improve the monitoring-diagnosis capability, in this research, the feature based input representation shall be investigated using empirical method in designing the ANN model recognizer

Design optimization of ann-based pattern recognizer for multivariate quality control

In manufacturing industries, process variation is known to be major source of poor quality. As such, process monitoring and diagnosis is critical towards continuous quality improvement. This becomes more challenging when involving two or more correlated variables or known as multivariate. Process monitoring refers to the identification of process status either it is running within a statistically in-control or out-of-control condition, while process diagnosis refers to the identification of the source variables of out-of-control process. The traditional statistical process control (SPC) charting scheme are known to be effective in monitoring aspects, but they are lack of diagnosis. In recent years, the artificial neural network (ANN) based pattern recognition schemes has been developed for solving this issue. The existing ANN model recognizers are mainly utilize raw data as input representation, which resulted in limited performance. In order to improve the monitoring-diagnosis capability, in this research, the feature based input representation shall be investigated using empirical method in designing the ANN model recognizer

E-portfolio MSC indicator for a virtual learning environment

This study was conducted to identify indicators for the use of e-portfolio for a virtual learning environment in the Malaysian Skills Certification (MSC) system. The approach is through a modified Delphi technique run in three stages. The first stage is analysis of past research material and documents as guidelines in the development of questionnaire items. In the second and third stages, the developed questionnaire is distributed to experts for approval in determining e-portfolio indicators for implementation of the Malaysian Skills Certification system. The sample selected consists of 11 experts in the field of skills certification in Malaysia. Feedback from the experts was analysed using descriptive statistics (mean, median and interquartile range). The findings identify four elements (Assessment, Personal Space, Exhibition and Learning Management) and 32 indicators through a literature review. In conclusion, there are 22 indicators were identified as necessary for the implementation of the use of the e-portfolio in the Malaysian Skills Certification system

Non-Local Deformation of a Supersymmetric Field Theory

In this paper, we will analyse a supersymmetric field theory deformed by generalized uncertainty principle and Lifshitz scaling. It will be observed that this deformed supersymmetric field theory contains non-local fractional derivative terms. In order to construct such deformed N=1 supersymmetric theory, a harmonic extension of functions will be used. However, the supersymmetry will be only preserved for a free theory and will be broken by the inclusion of interaction terms.Comment: 12 pages, pulished versio

Pengaruh Pinjaman KUR, Gadai Emas Dan Gadai Kendaraan Terhadap Peningkatan Produktifitas Umkm Mitra Binaan PT Pegadaian Cabang Pringgan Kota Medan

This study aims to examine and analyze the effect of mortgage loans, gold pawning, and vehicle pawning on the productivity of MSMEs fostered by PT Pegadaian Pringgan Branch, Medan City. Improved business conditions are a consideration for PT Pegadaian in providing KUR loans, gold mortgages, and vehicle mortgages to increase MSME productivity, which can help businesses progress in the future. KUR loans are provided by the Indonesian government to support MSMEs in increasing their access to finance. The KUR loan is intended to finance working capital, investment, and the purchase of production goods for MSMEs. In the Gold pawn service, MSMEs pawn their gold to PT Pegadaian and will receive a loan according to the value of the gold. Vehicle Pawn allows MSMEs to borrow money by providing a vehicle, such as a car or motorcycle, as collateral. PT Pegadaian will evaluate the value of the vehicle and provide loans according to the collateral value. This study uses quantitative research, with a sample size of 71 respondents. Methods of data analysis using multiple linear regression Simple random sampling was used as the sampling method. The conclusion of this study is that credit loans partially have a positive and significant effect on the productivity of fostered partner SMEs of PT Pegadaian Pringgan Branch, Medan City; gold pawning partially has a positive and significant effect on the productivity of fostered partner SMEs of PT Pegadaian Pringgan Branch, Medan City; and pawning vehicles partially has a positive and significant effect on the productivity of umkm fostered partners of PT Pegadaian Pringgan Branch, Medan City. Simultaneously, credit loans, gold pawns, and vehicle mortgages have a positive and significant effect on the productivity of MSMEs fostered by the partners of PT Pegadaian Pringgan Branch, Medan City. Keywords: kur loans, gold pawn, vehicle pawn, msme productivit

Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC) manufacturing

Semiconductor manufacturing is a complex and expensive process. The semiconductor packaging trending towards for more complex package with higher performance and lower power consumption. The silicon die is manufactured using smaller fab process technology node and packaging technology is using more complex and expensive packaging. The semiconductor packaging trend has evolved from single die packaging to multi die packaging. The multi die packaging requires more processing steps and tools in assembly process as well. All these factors cause cost per unit to increase. With this multi die packaging, it results higher loss in production yield compared to single die packaging because overall yield now is a function of multiplication of yield for each individual die. If any die from the final package tested at Class and found to be faulty not meeting the product specification, even the rest of die still passing the tests, the whole package will still be scrapped. This resulting in wasted good raw material (good die and good substrate) and manufacturing capacity used to assemble and test affected bad package. In this research work, a new framework is proposed for model training and evaluation for the machine learning application in semiconductor test with objective to screen bad die using machine learning before die attachment to package. The model training flow will have 2 classifier groupings which are control group and auto machine learning (ML) where feature selection with redundancy elimination method to be applied on input data to reduce the number of variables to minimum prior modeling flow. The control group will serve as reference. The other group, will use auto machine learning (ML) to run multiple classifiers automatically and only top 3 to be selected for next step. The performance metric used is recall rate at specified precision from ROI breakeven point. The threshold probability that correspond to fixed precision will be set as the classifier threshold during model evaluation on unseen datasets. The model evaluation flow will use 3 different non-overlapped datasets and comparison of classifiers will be based on recall rate and precision rate. This new framework will be able to provide range of possible recall rate from minimum to maximum, to identify which classifier algorithm performs the best for given dataset. The selected model can be implemented into actual manufacturing flow to screen predicted bad die for maximum cost scrapping avoidance and capacity savings

Multimedia courseware for interactive teaching and learning: students’ needs and perspectives

Education faces many new challenges in meeting the demands of teaching and learning for the 21st century. One of the new challenges is to integrate ICT (Information and communication technologies) in teaching and learning as a means of delivering alternative teaching. Multimedia technology, for example, has the potential to transform a traditional classroom into an unlimited imaginary world. This paper report on development and evaluation of a multimedia courseware for Design and Technology (RBT). An interactive CD was developed using the Adobe Flash CS6 software. Alpha and Beta testing have been carried out in the development process. 6 experts were assigned to evaluate the functionality of the interactive CD. In order to identify the usability of interactive CD, 103 respondents were involved in the survey by filling four-point Likert scaled questionnaire. The findings show that, the level of interactive CD usability is at a high level. Based on this study, there are positive effects that we can see based on the use of multimedia elements in the education system. The meaningful benefits of using multimedia elements for learning include the presentation of various learning styles. The presentation of information usually integrates multimedia elements such as text, graphics, audio and video

Multimedia Courseware for Interactive Teaching and Learning: Students' Needs and Perspectives

Education faces many new challenges in meeting the demands of teaching and learning for the 21st century. One of the new challenges is to integrate ICT (Information and communication technologies) in teaching and learning as a means of delivering alternative teaching. Multimedia technology, for example, has the potential to transform a traditional classroom into an unlimited imaginary world. This paper report on development and evaluation of a multimedia courseware for Design and Technology (RBT). An interactive CD was developed using the Adobe Flash CS6 software. Alpha and Beta testing have been carried out in the development process. 6 experts were assigned to evaluate the functionality of the interactive CD. In order to identify the usability of interactive CD, 103 respondents were involved in the survey by filling four-point Likert scaled questionnaire. The findings show that, the level of interactive CD usability is at a high level.  Based on this study, there are positive effects that we can see based on the use of multimedia elements in the education system. The meaningful benefits of using multimedia elements for learning include the presentation of various learning styles. The presentation of information usually integrates multimedia elements such as text, graphics, audio and video

Developing an E-Portfolio Model for Malaysian Skills Certification

The rapid development of ICT nowadays demands that the vocational education system in Malaysia needs to change for improvement in the quality of technology-based learning systems. The Malaysia Skills Certification (MSC) E-portfolio model was developed in this study to improve the existing portfolio used for MSC purposes. This study was conducted to verify the MSC E-portfolio measurement model. Respondents involved in this study were 350 MSC instructors from Institute of Public Skills Training in Malaysia, where 200 respondents were selected from institution under the Ministry of Human Resources and 150 respondents were under the Ministry of Youth and Sports in Malaysia. The total size of the respondent is based on the sample size formula of Krejcie and Morgan and the sample was determined using a stratified random sampling method. A questionnaire was used to obtain the research data. Rasch measurement model approach using Winsteps software was used to carry out questionnaire checks in terms of reliability and the validity of the instrument. Verification of content validity and reliability is done by 7 experts through a modified Delphi method. All 38 indicators that measure the MSC E-portfolio elements have high reliability and validity based on internal consistency analysis, indicator reliability, convergent validity and discriminant validity. This shows that a combination of all these four elements can produce an E - portfolio system that is more systematic and multi-purpose, as the concept of e-portfolios are still least applied in the education system. Overall, it can be concluded that the E-portfolio MSC constructs influenced by four major factors which are, operating systems, assessment of competence, Recognition of Prior Achievement (RPA) and virtual learning space. This study also directly gives a new dimension to the MSC system from the aspect of student competency assessment, interactive learning, safety safer storage of learning materials and provide a more systematic knowledge management space

The Effect of Thermal Treatment on the Resistance of 7075 Aluminum Alloy in Aggressive Alkaline Solution

Aluminum has attractive properties in which when properly engineered can be used in wider areas of applications. Due to its reactive abilities and strong affinity for oxygen, aluminum can resist rough environments and overall durable to various chemical agents. This work highlighted the behaviour of 7075 aluminum alloy in an aggressive alkaline environment. Two tempers of T6 and T73 were produced through solution heat treatment procedure; the T6 temper was subjected to solution heat treatment at 470°C for 60 min, quenched for 60 sec and followed by precipitation heat treatment or artificial ageing at 138°C for 960 min whereas the T73 was subjected to solution heat treatment at 470°C for 60 min quenched for 60 sec and followed by two precipitation heat treatment processes at 113°C for 480 min and 182°C for 720 min respectively.  The as received and the tempered materials are immersed in an aggressive alkaline medium consisting sodium chloride and hydrogen peroxide. The samples obtained were characterized by assessing weight loss and subjected to surface morphology analysis using scanning electron microscope. The morphology of the heat treated samples shows the type of localized form of corrosion present is pitting form of corrosion, and the weight analysis shows significant weight loss when the samples are exposed to the aggressive alkaline environment. The weight loss for the as received sample was observed to be more than the T73 and the T6 samples