Advanced of Mathematics-Statistics Methods to Radar Calibration for Rainfall Estimation; A Review

Ground-based radar is known as one of the most important systems for precipitation measurement at high spatial and temporal resolutions. Radar data are recorded in digital manner and readily ingested to any statistical analyses. These measurements are subjected to specific calibration to eliminate systematic errors as well as minimizing the random errors, respectively. Since statistical methods are based on mathematics, they offer more precise results and easy interpretation with lower data detail. Although they have challenge to interpret due to their mathematical structure, but the accuracy of the conclusions and the interpretation of the output are appropriate. This article reviews the advanced methods in using the calibration of ground-based radar for forecasting meteorological events include two aspects: statistical techniques and data mining. Statistical techniques refer to empirical analyses such as regression, while data mining includes the Artificial Neural Network (ANN), data Kriging, Nearest Neighbour (NN), Decision Tree (DT) and fuzzy logic. The results show that Kriging is more applicable for interpolation. Regression methods are simple to use and data mining based on Artificial Intelligence is very precise. Thus, this review explores the characteristics of the statistical parameters in the field of radar applications and shows which parameters give the best results for undefined cases. DOI: 10.17762/ijritcc2321-8169.15012

Challenges of New Media Technology in Reshaping Parent-Child Communication

This study aims to determine the importance of new media and its effectiveness in communication between parent-child.  These findings demonstrate that new media technology is essential nowadays between parent and child communication.  Responses from the survey indicate that communicating with family members is very effective with smartphones using applications to converse with each other.  The importance of communication towards family is prioritized over individual needs.  In family communication, new media has helped parents and children connect in some way or another and allows a closer connection among them. Keywords: new media, communication eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia

Multi-criteria decision making techniques in successful knowledge sharing behaviour among Malaysian student

This research was identified the success determinants of knowledge sharing behaviour (KSB) among Malaysian university students (MUS).Each university has their own method in delivering knowledge to their undergraduates, but occasionally there would still be incomplete or hidden information. The research question is: what are the success factors in knowledge sharing behaviour (KSB) among Malaysian undergraduate communities in one of northern university in Malaysia? The aim of this research is to identify the success factors for effective knowledge sharing behaviour (KS) among Malaysian university students (MUS) in one of northern university in Malaysia.The identification was done through multi-criteria decision making techniques, which are Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) and Ranked Base on Percentage.Both techniques has come out with same result, where the personal contributes as success factors in knowledge sharing behaviour among undergraduate students

Impak sosioekonomi dan politik program perumahan rakyat Lembah Subang, Selangor

Perumahan yang sempurna ialah yang dapat memenuhi keperluan penghuni, memberi kesejahteraan kepada isi rumah dan seterusnya memacu kepada peningkatan kualiti hidup. Program Perumahan Rakyat (PPR) merupakan program pembangunan rumah untuk rakyat di kawasan bandar yang tidak mempunyai kediaman sendiri sama ada untuk disewa atau dimiliki mengikut kawasan. Program ini memberi manfaat kepada penghuni bandar untuk menjalani kehidupan yang selesa seterusnya dapat mencapai kesejahteraan hidup. Namun terdapat tiga isu sosioekonomi dalam pelaksanaan skim PPR ini iaitu perpaduan, sosial dan ekonomi. Justeru, tujuan penulisan artikel ini untuk membincangkan impak sosioekonomi dan politik terhadap Program Perumahan Rakyat (PPR) Lembah Subang, Selangor. Kajian ini menggunakan metodologi secara kuantitatif melalui penggunaan instrumen borang soal selidik bagi mengumpul data daripada responden. Seramai 360 orang responden terlibat dan rujukan terhadap data sekunder iaitu artikel jurnal, kertas persidangan/seminar dan buku-buku ilmiah yang berkaitan diperlukan bagi menjayakan kajian. Hasil kajian mendapati majoriti responden bersetuju terhadap pelaksanaan perumahan PPR dan program ini telah berjaya meningkatkan taraf ekonomi, mengurangkan masalah sosial dan mewujudkan perpaduan untuk memenuhi aspirasi negara dalam mencapai matlamat 1 Malaysia. Program ini juga telah memberikan nilai tambah terutamanya sokongan kepada Kerajaan Persekutuan. Akhir sekali, impak kepada kajian ini penting sebagai panduan kepada pihak pelaksana dasar untuk mengetahui pandangan masyarakat bagi memastikan kejayaan proses pelaksanaan di masa akan datang dan melakukan penambahbaikan dasar berkenaan yang sesuai mengikut keperluan semasa

Software Effort Estimation Accuracy Prediction of Machine Learning Techniques: A Systematic Performance Evaluation

Software effort estimation accuracy is a key factor in effective planning, controlling and to deliver a successful software project within budget and schedule. The overestimation and underestimation both are the key challenges for future software development, henceforth there is a continuous need for accuracy in software effort estimation (SEE). The researchers and practitioners are striving to identify which machine learning estimation technique gives more accurate results based on evaluation measures, datasets and the other relevant attributes. The authors of related research are generally not aware of previously published results of machine learning effort estimation techniques. The main aim of this study is to assist the researchers to know which machine learning technique yields the promising effort estimation accuracy prediction in the software development. In this paper, the performance of the machine learning ensemble technique is investigated with the solo technique based on two most commonly used accuracy evaluation metrics. We used the systematic literature review methodology proposed by Kitchenham and Charters. This includes searching for the most relevant papers, applying quality assessment criteria, extracting data and drawing results. We have evaluated a state-of-the-art accuracy performance of 28 selected studies (14 ensemble, 14 solo) using Mean Magnitude of Relative Error (MMRE) and PRED (25) as a set of reliable accuracy metrics for performance evaluation of accuracy among two techniques to report the research questions stated in this study. We found that machine learning techniques are the most frequently implemented in the construction of ensemble effort estimation (EEE) techniques. The results of this study revealed that the EEE techniques usually yield a promising estimation accuracy than the solo techniques.Comment: Pages: 27 Figures: 15 Tables:

Perkembangan perusahaan perikanan di Semenanjung Malaysia: isu dan persoalan

The fishing sector is one of the significant economic sectors in Malaysia. This sector plays an important role as a contributor of a source of protein, to the country’s Gross Domestic Product (Keluaran Dalam Negara Kasar, KDNK), employment, and in the development of upstream and downstream industries which are based on fisheries. Aside from this, the fishing sector also aids in the decrease of the importation of the nation’s food supply. The fishing sector in Peninsular Malaysia has experienced rapid growth. While the contribution to this sector has been significant, it has also created issues and questions that need to be addressed immediately. This article will discuss the developmental points of fishery in Peninsular Malaysia at various important historical stages, beginning with the fishing industry before foreign powers conquered Malaysia to the period after Malaysia’s independence. At every stage, the changes that took place in fishing technology, model, marketing, the role of the government and its investors will be discussed. This discussion will also be focused on the issues and questions that have emerged from the fishing sector including the issues of source wastage, over-exploitation, foreign fishermen, water pollution and fish supply from other countries. The paper will then be focused on the approaches taken by the government of Malaysia in its effort to ensure the country’s acquisition of a suitable supply of fish

Food and feeding habits of Omobranchus sp. (Blenniidae: Omobranchini) larvae in the seagrass-mangrove ecosystem of Johor Strait, Malaysia

The stomach contents of Omobranchus sp. (family Blenniidae) larvae were investigated in a seagrass-mangrove based ecosystem in Johor Strait, Malaysia from October 2007 to September 2008. Specimens of larval fish were collected through subsurface towing of a Bongo net from five different stations. The stomach sacs of 267 Omobranchus sp. larvae were separated and observed, which comprised of 24 significant food stuffs belonging to 6 main groups viz. phytoplankton (62.45%), zooplankton (18.24%), algae (5.56%), plant-like particles (5.75%), debris (4.22%) and unidentified particles (2.03%). In situ water parameters were also measured throughout the sampling cruises. There was a strong and significant positive correlation between stomach phytoplankton and salinity (r = 0.658, p < 0.05).? Canonical correlation analysis indicated a weak relationship (29.8%) between stomach contents and physico-chemical parameters. Only salinity appeared to be the controlling factor for the stomach contents of Omobranchus sp. larvae in the investigated area. Based on the stomach content analysis, it could be concluded that Omobranchus sp. were mainly herbivorous during the larval stages

Morphological and molecular characterization of fungal pathogen, Magnaphorthe oryzae

Rice is arguably the most crucial food crops supplying quarter of calories intake. Fungal pathogen, Magnaphorthe oryzae promotes blast disease unconditionally to gramineous host including rice species. This disease spurred an outbreaks and constant threat to cereal production. Global rice yield declining almost 10-30% including Malaysia. As Magnaphorthe oryzae and its host is model in disease plant study, the rice blast pathosystem has been the subject of intense interest to overcome the importance of the disease to world agriculture. Therefore, in this study, our prime objective was to isolate samples of Magnaphorthe oryzae from diseased leaf obtained from MARDI Seberang Perai, Penang, Malaysia. Molecular identification was performed by sequences analysis from internal transcribed spacer (ITS) region of nuclear ribosomal RNA genes. Phylogenetic affiliation of the isolated samples were analyzed by comparing the ITS sequences with those deposited in the GenBank database. The sequence of the isolate demonstrated at least 99% nucleotide identity with the corresponding sequence in GenBank for Magnaphorthe oryzae. Morphological observed under microscope demonstrated that the structure of conidia followed similar characteristic as M. oryzae. Finding in this study provide useful information for breeding programs, epidemiology studies and improved disease management

Assessment of Variability and Genetic Diversity Study in an Advanced Segregating Population in Rice with Blast Resistance Genes Introgression

Blast disease caused by a pathogenic fungus, Magnaphorthe oryzae, is the most destructive disease and has resulted in more than 50% of crop losses worldwide, including in Malaysia. The present study was conducted to investigate genetic variability among 36 advanced lines of MR264 × PS2 rice with blast resistance genes introduced at the Faculty of Applied Sciences, Universiti Teknologi MARA, Malaysia. Traits such as days of maturity, plant height, grain width, and seed setting rate exhibited negative skewness in this study, indicating a doubling of gene effects. Seed setting rate and 1000 grain weight showed positive kurtosis, indicating gene interactions. The phenotypic coefficient of variation (PCV) was slightly higher than the genotypic coefficient of variation (GCV) for all traits, indicating that environmental influences affect the expression of these traits. High heritability associated with high genetic advance as a percentage of the mean was observed for filled grains per panicle. In addition, the second-highest value for high heritability and the high genetic advance was observed for the number of tillers. Cluster and principal component analysis revealed that 36 advanced lines were grouped into four clusters based on ten agromorphological traits. Clusters A and C had higher mean values for most of the traits studied than clusters B and D. Desirable recombinants for higher yields with a broad genetic base can be generated by using cross lines from different clusters