المؤلفون: Haidi Ibrahim, Syed Salim Syed Ali, Junita Mohamad-Saleh, Zaini Abdul Halim, Norasyikin Fadilah

المصدر: Sensors, Vol 12, Iss 10, Pp 14179-14195 (2012)

مصطلحات موضوعية: artificial neural network, principal component analysis, digital image processing, oil palm fresh fruit bunch, Chemical technology, TP1-1185

الوصف: Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important to ensure that they are harvested during optimum stage for maximum oil production. This paper presents the application of color vision for automated ripeness classification of oil palm FFB. Images of oil palm FFBs of type DxP Yangambi were collected and analyzed using digital image processing techniques. Then the color features were extracted from those images and used as the inputs for Artificial Neural Network (ANN) learning. The performance of the ANN for ripeness classification of oil palm FFB was investigated using two methods: training ANN with full features and training ANN with reduced features based on the Principal Component Analysis (PCA) data reduction technique. Results showed that compared with using full features in ANN, using the ANN trained with reduced features can improve the classification accuracy by 1.66% and is more effective in developing an automated ripeness classifier for oil palm FFB. The developed ripeness classifier can act as a sensor in determining the correct oil palm FFB ripeness category.

وصف الملف: electronic resource

العلاقة: http://www.mdpi.com/1424-8220/12/10/14179Test; https://doaj.org/toc/1424-8220Test

الوصول الحر: https://doaj.org/article/29dfa53f48c7465cac34f07730847178Test

المؤلفون: Khairun Najmi Kamaludin, Lokman Abdullah, Syed Najib Syed Salim, Zamberi Jamaludin, Nur Aidawaty Rafan, Mohd Fua'ad Rahmat, Rprakash Ramanathan

المصدر: International Islamic University Malaysia Engineering Journal, Vol 24, Iss 2 (2023)

مصطلحات موضوعية: Servo pneumatic actuator, Nonlinear control, PID controller, Steady-state error, Transient response, Static friction, Engineering (General). Civil engineering (General), TA1-2040

الوصف: Accurate and precise positioning control is critical in designing a positioning servo pneumatic system. The internal friction force of the pneumatic is one of the disturbances that make it challenging to achieve accurate and precise positioning. Dynamic friction identification and modelling are usually very complex and computationally exhaustive. In addition, pneumatic actuators are nonlinear systems, and applying linear control to the system is a mismatch. This study proposes an enhanced triple nonlinear hyperbolic PID controller with static friction (T-NPID+FSS) feedback module. T-NPID is integrated with nonlinear hyperbolic functions at each PID gain, hence the name. The reference in designing the T-NPID is the Popov stability criterion. Meanwhile, static friction (comparatively more straightforward than dynamic friction) is identified by measuring the actuator's internal friction at various velocities and applying it to the static friction model. T-NPID+FSS is compared to a classical PID, a PID with static friction (PID+FSS), and T-NPID without the friction module. With the comparisons, the performance gains of each module are clear. While most previous research focuses on the sinusoidal wave tracking performance (measuring the maximum tracking error, MTE, and root mean square error, RMSE), the analysis in this research focuses on obtaining precise positioning; steady-state analysis is the primary measurement. However, transient response and integral of absolute error (IAE) analysis are also observed to ensure no significant drawback in the controller's performance. T-NPID+FSS achieved the best precise positioning control, with 88.46% improvement over PID, 71.15% over PID+FSS, and 59.46% over T-NPID. The final controller is also on par with T-NPID for transient responses compared to the base PID. Although the FSS model caters to friction compensation, optimizing the FSS parameter by applying artificial intelligence, such as Neural Networks (NN) and Genetic Algorithm (GA), will increase the friction modeling‘s accuracy, and improve the compensation. ABSTRAK: Kawalan kedudukan yang tepat dan jitu adalah kitikal dalam mereka bentuk sistem pneumatik servo penentududukan. Daya geseran dalaman pneumatik adalah salah satu gangguan yang menyukarkan untuk mencapai kedudukan yang tepat dan jitu. Penentuan daya geseran dinamik dan pemodelannya selalunya kompleks dan pengiraan menyeluruh yang sukar. Selain itu, pneumatik ialah sistem tak linear, menggunakan kawalan linear pada sistem adalah tidak padan. Kajian ini mencadangkan PID hiperbolik tiga fungsi tak linear yang dipertingkatkan dengan modul suapan-balik geseran statik (T-NPID+FSS). T-NPID diintegrasikan dengan tiga fungsi hiperbolik tidak linear pada setiap pendarab PID, member pada nama. T-NPID direka bentuk dengan kriteria kestabilan Popov. Manakala geseran statik (secara perbandingan lebih mudah daripada geseran dinamik) dikenal pasti dengan mengukur geseran dalaman penggerak pada pelbagai halaju dan menerapkannya pada model geseran statik. T-NPID+FSS dibandingkan dengan PID klasik, PID dengan geseran statik (PID+ FSS) dan T-NPID tanpa modul geseran. Dengan perbandingan, prestasi peningkatan setiap modul adalah jelas. Walaupun kebanyakan penyelidikan terdahulu memfokuskan pada prestasi penjejakan gelombang sinusoidal (mengukur ralat penjejakan maksimum, MTE dan ralat purata kuasa dua akar, RMSE), analisis kajian ini memberi tumpuan kepada mendapatkan kedudukan yang tepat; oleh itu, analisis keadaan akhir ialah ukuran utama. Walau bagaimanapun, tindak balas sementara dan analisis kamiran ralat mutlak (IAE) juga diperhatikan untuk memastikan tiada kelemahan ketara dalam prestasi pengawal. T-NPID+FSS mencapai kawalan penentududukan tepat terbaik, dengan peningkatan 88.46% berbanding PID, 71.15% berbanding PID+FSS dan 59.26% berbanding T-NPID. Pengawal yang dicadangkan juga setanding dengan T-NPID untuk respons sementara berbanding PID asas. Walaupun model FSS telah ditunjukkan untuk memenuhi pampasan geseran, mengoptimumkan parameter FSS dengan menggunakan kecerdasan buatan (artificial intelligence, AI) seperti Neural Networks, NN dan Genetic Algorithms, GA akan meningkatkan ketepatan dan pampasan pemodelan geseran.

وصف الملف: electronic resource

العلاقة: https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2766Test; https://doaj.org/toc/1511-788XTest; https://doaj.org/toc/2289-7860Test

الوصول الحر: https://doaj.org/article/ea1228a928bd47419c57760055bca0f3Test

المؤلفون: Syed Salim, Syed Mohd Na'im B.

مصطلحات موضوعية: 332.6

الوصف: A most common question in finance, particularly in investment perspective, is how an investor should allocate his wealth. Robert C. Merton (1975) remarks that the quest for an answer to the problem of lifetime consumption and portfolio selection under uncertainty is the beginning point for the development of a theory of Finance. This research looks into the possibility of forming effective/profitable portfolio asset allocation during economic downturns which occurred in the period between year 1993 and 2008. We employ out-of-sample forecasting techniques using time-varying factors of constants (alpha) and asset sensitivities (beta) over the market and covariance/correlation in asset allocation. In addition, we also investigate if economic indicators have had any effect on forming asset allocation, particularly the stock markets. It is found that out of 24 portfolio asset allocation strategies investigated; two strategies provide superior return over risk results. The research also reveals that the incorporation of economic indicators has improved our model significantly. This research contributes to the present literature through recommendations for achieving better portfolio's return forecasts. It is intended that the findings will strengthen the practicability of Markowitz's Mean Variance theory and Sharpe's and Lintner's Capital Asset Pricing Model. We have proven that both models are feasible with some innovative adjustments made to them.

الإتاحة: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548511Test

المؤلفون: Syed Salim, Sharifah S. Asysyura

مصطلحات موضوعية: 572, Alix

الوصف: Previous work has identified a novel dopamine receptor interacting protein, Alix (ALG-2 (apoptosis-linked gene 2-interacting protein X)), using D1 receptor C-terminal domain or D3 receptor third cytoplasmic loop as 'baits' in separate yeast two-hybrid screens. Alix is thought to be important for the stability and trafficking of dopamine receptors and is an ubiquitous adaptor protein that was first described for its capacity to bind to the calcium-binding protein, ALG-2. It is known to be involved in apoptosis, regulation of cell adhesion, protein sorting, adaptation to stress conditions, endosomal trafficking and neuronal cell death. However, the exact cellular role for this protein in neuronal signalling remains poorly understood. There is strong evidence to support the existence of direct interactions between dopamine receptors and NMDA receptors and dopamine receptor interacting proteins such as Alix may facilitate intracellular 'cross talk' between both neurotransmitter signalling pathways. Furthermore, Alix has been recently found within the human postsynaptic density (PSD) and since NMDA receptors are central components of the PSD, we hypothesized that Alix may be able to influence NMDA receptor function. We have evaluated the effects of recombinant wildtype and truncated Alix proteins in NMDA receptor function using an NMDA receptor cell death assay in transiently transfected human embryonic kidney-293 cells (HEK293). We found that coexpression of Alix had a significant effect on NMDA receptor triggered cell death and we have examined Alix expression and colocalisation with NMDAR in HEK293 cells as well as endogenous Alix expression within cultured primary cortical and hippocampal neurons. Our results suggest that Alix can influence the NMDA receptor induced cell death pathway and suggests a previously unreported role for Alix as a potential modulator of NMDA receptor function.

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792550Test

المؤلفون: Riglin, Lucy, Wootton, Robyn E, Livingston , Lucy, Agnew-Blais , Jessica, Arseneault, Louise, Blakey, Rachel, Syed Salim Agha, Sharifa Shameem, Langley, Kate, Collishaw, Stephan, O'Donovan, Michael C, Davey Smith, George, Stergiakouli , Evangelia, Tilling, Kate M, Thapar, Anita

المصدر: Riglin , L , Wootton , R E , Livingston , L , Agnew-Blais , J , Arseneault , L , Blakey , R , Syed Salim Agha , S S , Langley , K , Collishaw , S , O'Donovan , M C , Davey Smith , G , Stergiakouli , E , Tilling , K M & Thapar , A 2022 , ' “Late-onset” ADHD symptoms in young adulthood : Is this ADHD? ' , Journal of Attention Disorders , vol. 26 , no. 10 , pp. 1271-1282 . https://doi.org/10.1177/10870547211066486Test

مصطلحات موضوعية: ALSPAC, ADHD, late-onset, longitudinal, genetic, scaffolding, compensation

الوصف: Objective: We investigated whether “late-onset” ADHD that emerges in adolescence/adulthood is similar in risk factor profile to: 1) child-onset ADHD, but emerges later because of scaffolding/compensation from childhood resources; and 2) depression, because it typically onsets in adolescence/adulthood and shows symptom and genetic overlaps with ADHD. Methods: We examined associations between late-onset ADHD and ADHD risk factors, cognitive tasks, childhood resources and depression risk factors in a population-based cohort follow-up to age 25 years (N=4224-9764). Results: Parent-rated late-onset ADHD was like child-onset persistent ADHD in associations with ADHD polygenic risk scores and cognitive task performance, although self-rated late-onset ADHD was not. Late-onset ADHD was associated with higher levels of childhood resources than child-onset ADHD and did not show strong evidence of association with depression risk factors. Conclusions: Late-onset ADHD shares characteristics with child-onset ADHD when parent-rated, but differences for self-reports require investigation. Childhood resources may delay the onset of ADHD.

وصف الملف: application/pdf

العلاقة: https://research-information.bris.ac.uk/en/publications/1d7e7555-ddf0-4a50-a02b-996ea6cd2886Test

الإتاحة: https://doi.org/10.1177/10870547211066486Test
https://hdl.handle.net/1983/1d7e7555-ddf0-4a50-a02b-996ea6cd2886Test
https://research-information.bris.ac.uk/en/publications/1d7e7555-ddf0-4a50-a02b-996ea6cd2886Test
https://research-information.bris.ac.uk/ws/files/302566977/Late_onset_ADHD_Accepted_Manuscript.pdfTest

المؤلفون: Afaf Sukari, Azman Ab Rahman, Muhammad Faiz Abd Shakor, Syed Salim Syed Shamsuddin, Zizi Azlinda Mohd Yusof

المصدر: Journal of Fatwa Management and Research. 28:70-86

مصطلحات موضوعية: General Medicine

الوصف: Kenaikan insiden kemiskinan mutlak di Malaysia semakin meningkat apabila 20% isi rumah M40 beralih kepada B40 sepanjang waktu pandemik COVID-19 akibat kemelesetan ekonomi. Pelbagai usaha dijalankan bagi menangani kemiskinan sejajar dengan tunjang utama Rancangan Malaysia Kedua Belas (RMK-12) iaitu pengukuhan keselamatan, kesejahteraan dan inklusiviti. Bagi mencapai objektif kesejahteraan negara dalam masa lima tahun sejak RMK-12 diperkenalkan, pendekatan yang proaktif perlu dilakukan secara terancang. Namun begitu, pelbagai pendapat telah dilontarkan bagi mentransformasikan inklusiviti B40 dalam kegiatan ekonomi terutamanya berkaitan agihan bantuan kemiskinan yang menjadi talian hayat mereka saban hari. Oleh itu, penilaian semula penentu agihan bantuan kemiskinan perlu dijalankan bagi memastikan kesejahteraan rakyat terus terjamin. Kajian ini dilakukan adalah untuk menganalisis berkenaan penentuan agihan bantuan kemiskinan kepada golongan B40 di Malaysia dengan menggunakan analisis literatur sistematik. Kajian ini menggunakan kaedah PRISMA iaitu dengan membuat carian artikel di pangkalan data Scopus dan My Jurnal secara sistematik sepanjang tempoh bermula 2021 hingga 2023. Data yang dikumpul telah dianalisis dan direkodkan dalam carta alir PRISMA. Sejumlah 52 artikel jurnal yang terpilih berkaitan dengan topik telah dibincangkan oleh pengkaji. Hasil kajian mendapati agihan bantuan kemiskinan yang baru mampu mengenalpasti faktor tekanan sara hidup rakyat miskin yang terjerat dalam golongan B40 selain membantu untuk meringankan beban kuasa ekonomi rakyat miskin. Diharapkan penyelidikan ini dapat memberi gambaran dan perbincangan yang berguna serta menjadi rujukan kepada penyelidik dan ahli akademik yang lain berkenaan analisis sistematik terhadap penentuan agihan bantuan kemiskinan kepada golongan B40 dengan menggunakan metodologi PRISMA.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::b4c063db20cc4e397764655672baf96aTest
https://doi.org/10.33102/jfatwa.vol28no2.525Test

العنوان البديل: Systematic Literature Analysis of The Zakat Management Approach To Eradicate Poverty After The Pandemic. (English)

المؤلفون: Zizi Azlinda Mohd Yusof, Azman Ab Rahman, Syed Salim Syed Shamsuddin

المصدر: Journal of Fatwa Management & Research; Jan2024, Vol. 29 Issue 1, p167-185, 19p

المؤلفون: Ab Rahman, Azman, Syed Shamsudin, Syed Salim, Nozlan, Nurul Nadia, Abd. Shakor, Muhd. Faiz, Sukari, Afaf

المصدر: Journal of Quran Sunnah Education & Special Needs; Vol. 5 No. 1 (2021); 127-138 ; 2590-3799 ; 10.33102/jqss.vol5no1

مصطلحات موضوعية: Pengajaran dan Pembelajaran (PDP), Pendidikan Islam, Pendidikan Khas, Masalah Pembelajaran, COVID-19

الوصف: Novel Coronavirus (2019-nCoV), also known as COVID-19, has surprised the country worldwide. The COVID-19 pandemic has had significant implications for communities around the world in general and Malaysia in particular. COVID-19 has caused various sectors to be affected by the spread of the COVID-19 pandemic, including educational institutions in Malaysia. This matter also concerns Islamic Education teachers in Special Education because the Teaching and Learning process (PdP) of Islamic Education with students with learning disabilities (OKU MP) had to be implemented online. Thus, the study's objective is to identify the PdP method used by teachers of Islamic Education in Special Education and the challenges faced when conducting PdP with OKU MP during COVID-19. This study uses a qualitative method by using a questionnaire approach and documentation to collect data for the study objectives. The study found that identifying specific and appropriate techniques before starting the PdP with students with learning disabilities is the primary method in the PdP of Islamic Education during COVID-19. The main challenges in the PdP of Islamic Education for OKU MP students are issues related to technological facilities as well as matters of commitment of students and parents, skills and expertise of teachers as well as the lack of Supported Learning Material (BBM) while continuing the PdP online due to the implementation of Movement Control Order (MCO) by the Malaysian government. Researchers hoped that this study could help teachers and OKU MP face the challenges to continue the PdP of Islamic Education during COVID-19 and reference educational institutions in improving the PdP process for OKU students in Malaysia in general. Keywords: Teaching and Learning (PdP), Islamic Education, Special Education, Students with Learning Disabilities, COVID-19 Abstrak Negara telah digemparkan dengan satu wabak yang dinamakan sebagai Novel Coronavirus (2019-nCoV) atau dikenali juga sebagai COVID-19. Bencana wabak COVID-19 ini telah ...

وصف الملف: application/pdf

العلاقة: https://jqss.usim.edu.my/index.php/jqss/article/view/104/65Test; https://jqss.usim.edu.my/index.php/jqss/article/view/104Test

الإتاحة: https://doi.org/10.33102/jqss.vol5no1.10410.33102/jqss.vol5no1Test
https://jqss.usim.edu.my/index.php/jqss/article/view/104Test

المؤلفون: Suhaina Mohamed Zaki, Sharifah Masitah Syed Salim, Jamaliah binti Salbi

المصدر: INCLUSIVE EDUCATION. 1:7-19

الوصف: In the digital era of the latest revolution, the field of education has undergone a transformation towards andragogy and pedagogy digitally. In Malaysia, the spread of the COVID-19 epidemic brought about a new norm change in the national education system. At the level of the Department of Polytechnic Education & amp; Community Colleges (JPPKK), Digital Learning Coordinating Committee of the Department of Polytechnic Education and Community Colleges was established with the role of identifying strategies to address challenges and issues related to digital learning and further strengthen ICT infrastructure and digital learning in Polytechnics and Community Colleges. This includes online teaching and learning (PdPDT) for students with special needs. Several major challenges have been made the basis of this study, namely the knowledge of lecturers on computer technology, the acceptance of lecturers on PdPDT for students with special needs and the use of teaching aids in PdPDT. Therefore, this study was conducted to identify the level of use of digital technology among Basic Certificate lecturers in Community Colleges. The study involved 24 lecturers in 12 Community Colleges offering 8 Basic Certificate programs. This Basic Certificate involves students with special needs Learning Disabilities. This study uses a quantitative method by using a questionnaire approach in collecting data to achieve the objectives of the study by using Statistical Packages For Social Sciences for windows version 20.0 (SPSS). The findings of the study show that all Basic Certificate lecturers have a level of knowledge of computer technology. While the level of acceptance of Basic Certificate lecturers on the level of computer use in the teaching and learning process is also in a high level with a mean score of 4.10 and the level of computer use among Basic Certificate lecturers in the PdP process is also very high with a mean score of 4.43. Overall, the findings show that the use of digital technology among Basic Certificate lecturers in Community Colleges is very good.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::b39ccfafa690ccbfcc83f3fa6399cfa5Test
https://doi.org/10.57142/inclusion.v1i1.4Test

المؤلفون: Syed Salim, Madhu B K

المساهمون: Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)

المصدر: International Journal of Engineering and Advanced Technology (IJEAT) 9(4) 1350-1352

مصطلحات موضوعية: Word2vec, Business Sentiment Quotient, Natural Language Processing, ISSN, Retrieval Number

الوصف: Online business has opened up several avenues for researchers and computer scientists to initiate new research models. The business activities that the customers accomplish certainly produce abundant information /data. Analysis of the data/information will obviously produce useful inferences and many declarations. These inferences may support the system in improving the quality of service, understand the current market requirement, Trend of the business, future need of the society and so on. In this connection the current paper is trying to propose a feature extraction technique named as Business Sentiment Quotient (BSQ). BSQ involves word2vec[1] word embedding technique from Natural Language Processing. Number of tweets related to business are accessed from twitter and processed to estimate BSQ using python programming language. BSQ may be utilized for further Machine Learning Activities.

العلاقة: https://zenodo.org/record/5558610Test; https://doi.org/10.35940/ijeat.D8721.049420Test; oai:zenodo.org:5558610

الإتاحة: https://doi.org/10.35940/ijeat.D8721.049420Test
https://zenodo.org/record/5558610Test