453 research outputs found
Magnetic ceramic / Norzaidi Khamis and Md. Azmi Baba
This project paper explained the research and method of processing magnetic ceramic for engineering utilization. The objective of the research is to know the effects of calcined and uncalcined powders in the samples. The chemical used are in the form of powders that consists of MgO, ZnO, Mn02 and Fe203. Samples formed from the chemical above is studied by using apparatus such as XRD, SEM and Optical Microscopy and it is divided into two and named as route 1 and route 2. Route 1 is calcined powder and route 2 is un calcined powder. The first chapter explained briefly on magnetic ceramic, which consists of explaination on ceramic, magnetic ceramic and application of magnetic ceramic. The second chapter reviewed about the theories on how magnetic ceramic being produced from the raw material until it turn to a sample called magnetic ceramic. The third chapter illustrate how the volume of the powder composition is calculated before it is mixed to form the sample. The fourth chapter is about the experimental procedure that is done to produce the sample of magnetic ceramic and research done on the properties and the microstructure obtained by implementing XRD, SEM and Optical Microscop
Penggunaan kaedah ukur rujuk dalam pemprosesan seramik bagi meningkatkan kualiti dan produktiviti
This paper presents the practical application of benchmarking method in a ceramic processing company. In order to get the expected outcome, the organisation that would implement the benchmarking method should do it correctly and accurately. This paper discussed and concentrates on external benchmarking from the aspects of processing, productivity and product quality. This ceramic processing company has conducted the benchmarking effort which comprises of four phases via a case study and development of a model. It was followed by several efforts to improve the performance. This paper also presents the results of the benchmarking project.
(Kertas kerja ini membentangkan penggunaan kaedah ukur rujuk secara amali di sebuah syarikat memproses seramik. Sesebuah organisasi yang menggunakan kaedah ukur rujuk perlu melakukannya dengan betul dan tepat agar ia dapat mencapai hasil yang diharapkan. Kertaskerja ini membincangkan dan menumpukan teknik ukur rujuk luaran dari aspek pemprosesan, produktiviti dan kualiti produk. Sebuah syarikat pemprosesan seramik telah melaksanakannya dengan kajian kes dan pembangunan model yang melibatkan empat fasa utama. Ia diikuti dengan usaha-usaha peningkatan prestasi. Keputusan ukur rujuk juga dipaparkan dalam kertas kerja ini.
Penggunaan Kaedah Ukur Rujuk Dalam Pemprosesan Seramik Bagi Meningkatkan Kualiti Dan Produktiviti
Kertas kerja ini membentangkan penggunaan kaedah ukur rujuk secara amali di sebuah syarikat memproses seramik. Sesebuah organisasi yang menggunakan kaedah ukur rujuk perlu melakukannya dengan betul dan tepat agar ia dapat mencapai hasil yang diharapkan. Kertas kerja ini membincangkan dan menumpukan teknik ukur rujuk luaran dari aspek pemprosesan, produktiviti dan kualiti produk. Sebuah syarikat pemprosesan seramik telah melaksanakannya dengan kajian kes dan pembangunan model yang melibatkan empat fasa utama. Ia diikuti dengan usaha-usaha peningkatan prestasi. Keputusan ukur rujuk juga di paparkan dalam kertas kerja ini
The effectiveness of 28S and 16S molecular regions in resolving phylogeny of Malaysian microgastrinae (Hymenoptera: Braconidae)
Classification of endosymbiont Wolbachia (Rickettsiales: Anaplasmataceae) in opiine wasps (Hymenoptera: Braconidae)
Hybrid real-time task scheduling algorithm in overload situation for multiprocessor system
Real-time systems are reactive systems which should meet major constraints in scheduling tasks like time limitation and resources allocation for scheduling the task effectively when the system in overloaded condition. Failure of system in scheduling tasks when system is overloaded can result in catastrophic impacts. The goal of this research is to propose a task scheduling algorithm that able to perform better than traditional Earliest Deadline First (EDF) and minimize the overall completion time when the system in overloaded condition. The proposed scheduling algorithm is built based on three new improved scheduling algorithms namely: (1) Hybrid Particle Swarm Optimization (PSO) and Hybrid Invasive Weed Optimization (HPIO), (2) Enhanced Initial Swarm (EIS), and (3) Hybrid EDF, EIS and HPIO Optimization (HEDFPIO). The author proves that more successful tasks is scheduled by using HPIO in multiprocessor system in over loaded situation among PSO and ACO. The author uses EIS algorithm in order to improve local search in HPIO and have fair load balance among processors. Finally the author presents a new hybrid algorithm that combines HPIO, EIS and EDF which is called HEDFPIO, It is observed that we could achieve higher successful ratio in task scheduling and with shorter calculation time in overloaded situation
A biomechanical analysis of lifting technique: a comparative study of back lift and leg lift in the manufacturing industry
Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation
Problem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these
writers have a special way of writing that no other writer has; thus, authorship attribution is the task of
identifying the author of a given text. In this study, we propose an authorship attribution algorithm, improving the accuracy of Stylometric features of different professionals so it can be discriminated nearly as well as fingerprints of different persons using authorship attributes. Approach: The main target in this study is to build an algorithm supports a decision making systems enables users to predict
and choose the right author for a specific anonymous author’s novel under consideration, by using a learning procedure to teach the system the Stylometric map of the author and behave as an expert opinion. The Stylometric Authorship Attribution (AA) usually depends on the frequent word as the best attribute that could be used, many studies strived for other beneficiary attributes, still the frequent
word is ahead of other attributes that gives better results in the researches and experiments and still the best parameter and technique that’s been used till now is the counting of the bag-of-word with the maximum item set. Results: To improve the techniques of the AA, we need to use new pack of attributes with a new measurement tool, the first pack of attributes we are using in this study is the
(frequent pair) which means a pair of words that always appear together, this attribute clearly is not a new one, but it wasn’t a successive attribute compared with the frequent word, using the maximum item set counters. the words pair made some mistakes as we see in the experiment results, improving the winnow algorithm by combining it with the computational approach, achieved by using the CV
statistical tool as a conditional threshold for attribute selecting; by doing so, the frequent pair result improved from 50% error to 0% in the improved frequent pair with a clear higher score result compared with the frequent word attribute. Conclusion/Recommendations: The new CV algorithm
results improvement may lead to several new attributes usage that gave unsatisfying results before that might improve the direction for solving some hard cases couldn’t be solved till now
Payload Capacity Scheme for Quran Text Watermarking Based on Vowels with Kashida
The most sensitive Arabic text available online is the digital Holy Quran. This sacred Islamic religious book is recited by all Muslims worldwide including non-Arabs as part of their worship needs. Thus, it should be protected from any kind of tampering to keep its invaluable meaning intact. Different characteristics of Arabic letters like the vowels (), Kashida (extended letters), and other symbols in the Holy Quran must be secured from alterations. The cover text of the Quran and its watermarked text are different due to the low values of the Peak Signal to Noise Ratio (PSNR) and Embedding Ratio (ER). A watermarking technique with enhanced attributes must, therefore, be designed for the Quran’s text using Arabic vowels with kashida. The gap addressed by this paper is to improve the security of Arabic text in the Holy Quran by using vowels with kashida. The purpose of this paper is to enhance the Quran text watermarking scheme based on a reversing technique. The methodology consists of four phases: The first phase is a pre-processing followed by the second phase-the embedding process phase—which will hide the data after the vowels. That is, if the secret bit is “1”, then the kashida is inserted; however, the kashida is not inserted if the bit is “0”. The third phase is the extraction process and the last phase is to evaluate the performance of the proposed scheme by using PSNR (for the imperceptibility) and ER (for the capacity). The experimental results show that the proposed method of imperceptibility insertion is also optimized with the help of a reversing algorithm. The proposed strategy obtains a 90.5% capacity. Furthermore, the proposed algorithm attained 66.1% which is referred to as imperceptibility.Transport and Plannin
Uncovering Research Trends of Phycobiliproteins Using Bibliometric Approach
Phycobiliproteins are gaining popularity as long-term, high-value natural products which can be alternatives to synthetic products. This study analyzed research trends of phycobiliproteins from 1909 to 2020 using a bibliometric approach based on the Scopus database. The current findings showed that phycobiliprotein is a burgeoning field in terms of publications outputs with “biochemistry, genetics, and molecular biology” as the most related and focused subject. The Journal of Applied Phycology was the most productive journal in publishing articles on phycobiliproteins. Although the United States of America (U.S.A.) contributed the most publications on phycobiliproteins, the Chinese Academy of Sciences (China) is the institution with the largest number of publications. The most productive author on phycobiliproteins was Glazer, Alexander N. (U.S.A.). The U.S.A. and Germany were at the forefront of international collaboration in this field. According to the keyword analysis, the most explored theme was the optimization of microalgae culture parameters and phycobiliproteins extraction methods. The bioactivity properties and extraction of phycobiliproteins were identified as future research priorities. Synechococcus and Arthrospira were the most cited genera. This study serves as an initial step in fortifying the phycobiliproteins market, which is expected to exponentially expand in the future. Moreover, further research and global collaboration are necessary to commercialize phycobiliproteins and increase the consumer acceptability of the pigments and their products
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