1,282 research outputs found
Moisture absorption and diffusivity of epoxy filled layered-structure nanocomposite
No full textThis paper studies moisture absorption and diffusivity of epoxy reinforced layered structure nanocomposites and its effect on fracture toughness. Two different types of layered fillers employed in the study were clay and graphene platelets, in which both surface layers were unmodified and modified by characterized by swelling analysis and fracture toughness measurement. The outcomes surfactant. The nanocomposites were showed that the moisture absorption and diffusivity decreased with the addition of layered fillers. It was found that the modified graphene platelets and clay outperformed the unmodified layers and neat epoxy in terms of reduction of moisture absorption and diffusivity. The modified graphene platelets reduced the moisture uptake and diffusivity about 30% and 33%, respectively compare to neat epoxy, thus indicates its outstanding performance in barrier applications. However, once the nanocomposites were swelling in the water for 5 days, it is noticed that the fracture toughness of nanocomposites were reduced significantly about 35% in average. Nevertheless, the modified graphene platelets still display the better performance compare to the other samples although there was reduction of fracture toughness
Exploration of machine learning forecasting methods in M4 competition / Muhammad Halim Hamdan and Shuzlina Abdul-Rahman
Get PDFThere are so many forecasting algorithms and techniques available. The abilities of Data Mining to obtain and gather data from multiple sources is very useful to researcher, practitioner, business and more. From a long list of forecasting algorithms that have been built throughout the years, it will be exhaustive for someone to go through the list one by one to choose which algorithm to use. With M competition established, there are many more new techniques being innovated each time it is organized. This research aims to compare and contrast the machine learning forecasting techniques that are used in M4 Competition, to get better understanding on each technique and to identify the best technique. Three machine learning techniques from M4 Competition were chosen to be compared in this research. Each technique was replicated, trained and tested accordingly. M4 competition dataset was used in this research, with 100,000 time series data and multiple data frequency, which is enough to replicate the real-world situation. The results indicate that the three techniques have their strength, with RNN+ES technique on top of it. RNN+ES and CNN-TS performed well in relative to Naive2 benchmark, while k-NS model performed the worst. Further research on the datasets and investigation of each model to further improve its capabilities are needed to improve the performance of the model
Perancangan pawagam di Kuala Lumpur / Abdul Halim Abdul Rahman and Kamarul Bahrain Shuib
Get PDFDi bawah ini digariskan objektif dan matlamat kajian mengenai perancangan pawagam d i Kuala Lumpur. 1. Mengkaji kesesuaian pawagam-pawagam di Kuala Lumpur dari segi lokasi dan rekabentuk. Moral: Dapat mengetahui kesesuaiannya pada pengguna-pengguna dan merangka suatu piawaian yang berupa prinsip-prinsip perancangan pawagam. 2. Mengkaji kemudahan-kemudahan yang disediakan oleh pawagam-pawagam untuk pengguna seperti tempat letak kereta, kedai-kedai makan, tandas, keselamatan dari kemalangan dan kecemasan, tempat duduk, papan tanda dan sebagainya. Moral: Dapat menilai dasar perancangan pawagam dan menetapkan suatu piawaian yang sesuai. 3. Mengkaji dari aspek fisikal, sosial dan ekonomi kesan sampingan dari pawagam keatas kegunaan-kegunaan tanah lain yang berhampiran seperti bangunan-bangunan kedai dan pusat membeli-belah, bangunan-bangunan pejabat, tempat beribadat, sekolah, hospital dan kawasan perumahan. Moral: Dapat menyingkap masalah-masalah yang timbul dari pawagam dan cuba mencari jalan penyelesaian melalui perancangan yang sesuai
Penilaian guru terhadap kandungan Kurikulum Pendidikan Ekonomi Asas SPM KBSM : satu kajian kes di Kemaman, Terengganu / Abdul Halim bin A. Rahman
Get PDFDevelopment of latex-based as new coagulant for industrial coolant wastewater treatment / Ku Halim Ku Hamid and Salina Abdul Rahman
Get PDFIn recent years, polymer application has become more important in wastewater treatment due to easier sludge disposal, reduction in cost for chemical consumption and increase pollutant removal efficiencies. It can be used either as coagulant or coagulant aid to destabilize and aggregate colloidal particles. In this study, industrial coolant wastewater was treated with latex-based material as a new coagulant. Latex is a liquid particle of rubber in an aqueous serum containing various kinds of organic and inorganic substances. It can be coagulated by adding acetic acid (1 %) or formic acid (0.5 %). Composition of latex are varies depending upon botanical species and influenced by biological and climate. Characteristic of the industrial coolant wastewater was determined before and after the treatment. It was found that COD of the wastewater was reduced to 99.9 percent and comply the Environmental Standard to be discharged to the monsoon drain after polishing with commercial grade of activated carbon and dilution process
Peran Syekh Abdul Halim Khatib dalam Penyebaran Islam di Mandailing Natal, 1906-1991
Get PDFThis article aims to see how the role of Sheikh Abdul Halim Khatib in the
spread of Islam in Mandailing Natal. Sheikh Abdul Halim Khatib is a major
scholar figure who is quite well known in Mandailing Natal and its
surroundings. However, the role of Sheikh Abdul Halim Khatib in developing
the religion of Islam, especially in Purbabaru, the people there participated in
many recitations, and the people there were more active in religion. The
researcher aims to find out the historical process of the entry and
development of Islam in Mandailing Natal, the life of Sheikh Abdul Halim
Khatib and his role in the development of Islam in Mandailing Natal and the
writings of Sheikh Abdul Halim Khatib in spreading Islam in Mandailing. The
research that the author is doing is field research using historical research
methods, and this research was conducted in Purbabaru Village, Lembah Sorik
Marapi District, Mandailing Natal Regency, and the informants in this study
were Musthafawiyah alums who were considered more knowledgeable about
the role of Sheikh Abdul Halim Preacher. Sheikh Abdul Halim Khatib's
relationship with the community is different from that of his teacher, Sheikh
Musthafa Husein because he teaches more in the classroom, such as giving
recitations at home to the community and his students on a scheduled basis,
and Sheikh Abdul Halim Khatib has knowledge in the field of Sufism
How Vulnerable are Bangladesh’s Indigenous People to Climate Change?
Get PDFThis paper compares the vulnerabilities to climate change and climate variability of the indigenous people with the Bengali population of Bangladesh. It distinguishes between (a) individual vulnerabilities that are related to an individual’s capability to adapt to climate change and; (b) spatial vulnerabilities, that is, vulnerabilities that are related to the location of a person (like the exposure to climate change-induced disasters). While an individual’s capability to adapt to climate change is determined by many factors, some relatively simple approximation is to look at poverty, landlessness, and illiteracy. Spatial vulnerabilities are reviewed by looking at drought hazard maps, flood hazard maps, landslide hazard maps, and cyclone hazard maps. Hence, the paper compares levels of poverty, landlessness, illiteracy, and the more direct though also more subjective exposures to increased droughts, floods, landslides, and cyclones across the two population groups. The paper concludes with some broad suggestions on adaptation strategies of indigenous people as well as suggestions for policy interventions to reduce climate change-induced vulnerabilities for indigenous people in the Chittagong Hill Tracts (CHT).Bangladesh, climate change, vulnerability
PENERAPAN PENYUSUNAN LAPORAN KEUANGAN MASJID NURUR RAHMAN TAMANAN, KABUPATEN BONDOWOSO BERDASARKAN ISAK NO 35
Get PDFThe research was conducted at the Nurur Rahman Tamanan mosque in Bondowoso. While the object of this research is the financial report of the Nurur Rahman mosque. The purpose of this study was to examine the arrangement of the budget summaries of the Nurur Rahman Tamanan Bondowoso Mosque in view of ISAK NO 35. Nurur Rahman Tamanan Mosque, Bondowoso is one of the institutions that is included as a Non-profit entity, which in its management requires making financial statements as a Form of accountability for funds. Which has been obtained. The financial statements of Non-profit entities include statements of financial position, statements of Comprehensive income, statements of net assets, statements of cash flows and notes to Financial statements. Included in the type of descriptive qualitative research. The data collection technique used in this research is to use observation, documentation and interviews. While the results of his research explain that the Nurur Rahman Tamanan Mosque is not in accordance with the current standards, namely ISAK NO 35 in making its financial statement
Genome-wide identification, characterization, and functional analysis of the myb transcription factor family in chickpea (Cicer arietinum)
No full textNon-acted text and keystrokes database and learning methods to recognize emotions
No full textThe modern computing applications are presently adapting to the convenient availability of huge and diverse data for making their pattern recognition methods smarter. Identification of dominant emotion solely based on the text data generated by the humans is essential for the modern human-computer interaction. This work presents a multimodal text-keystrokes dataset and associated learning methods for the identification of human emotions hidden in small text. For this, a text-keystrokes data of 69 participants is collected in multiple scenarios. Stimuli are induced through videos in a controlled environment. After the stimuli induction, participants write their reviews about the given scenario in an unguided manner. Afterward, keystroke and in-text features are extracted from the dataset. These are used with an assortment of learning methods to identify emotion hidden in the short text. An accuracy of 86.95% is achieved by fusing text and keystroke features. Whereas, 100% accuracy is obtained for pleasure-displeasure classes of emotions using the fusion of keystroke/text features, tree-based feature selection method, and support vector machine classifier. The present work is also compared with four state-of-the-art techniques for the same task, where the results suggest that the present proposal performs better in terms of accuracy
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