bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevailing temperatures and cold units in the Yaqui and Mayo Valleys, Mexico, during the 2021-2022 fall-winter crop season
Authors: María Monserrat Torres-Cruz  , Guillermo Fuentes-Dávila  , Pedro Félix-Valencia
Published: August 2023

Agriculture is an activity dependent on climate and therefore highly sensitive to climatic changes and to the variability of weather factors, considering the temperature as the climatic element most related to annual crop productivity. The objective of this work was to analyze the temperature that prevailed in the Yaqui and Mayo Valleys during the crop season fall-winter 2021-2022. Data were obtained from the automated weather station network in the state of Sonora, which comprises nineteen stations in the Yaqui Valley and thirteen in the Mayo Valley. Data were captured in Excel with the hourly and daily recording from all the weather stations, covering from November 15, 2021 to April 30, 2022. The average of the minimum and maximum temperatures were calculated as well as the accumulation of cold units from each weather station. The temperature in the Yaqui and Mayo Valleys was rather similar oscillating between 2.14°C and 35.54°C with an average of 17.48°C. Cold units recorded in the Yaqui Valley were 572, while in the Mayo Valley there were 679. Most of the weather stations in the Mayo Valley recorded more than 600 cold units with the exception of Juliantabampo and Pueblo Mayo which recorded 454 and 465, respectively. In the Yaqui Valley, eleven weather stations recorded more than 600 cold units, seven recorded between 400 and 500, and only one recorded 314 cold units.
A systematic literature review of applications of geographic information system in COVID-19 studies
Authors: Thi-Quynh Nguyen  , Thi-Thuy Ngo
Published: August 2023

Geographic information science (GIS) has established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the applications of GIS in the study of COVID-19 remained limited. In this systematic literature review, the current applications of GIS in COVID-19 studies were assesed. A total of 50 research articles related to applications of GIS were systematically retrieved and reviewed. There thematic groups were grouped, namely · The use of GIS for mapping COVID-19, · How to assess the impacts of the COVID-19 pandemic on socio-economies and environment, and · The assessment of the community vulnerability and risks during the pandemic. It was found that GIS shows great importance in the study of COVID-19. The wide range of applications offered by GIS could significantly improve how we fight the COVID pandemic.
The Modular Irregularity Strength of Triangular Book Graphs
Authors: Tilukay Meilin Imelda
Published: August 2023

This paper deals with the modular irregularity strength of a graph of  vertices, a new graph invariant, modified from the well-known irregularity strength, by changing the condition of the vertex-weight set associate to the irregular labeling from  distinct positive integer to -the group of integer modulo . Investigating the triangular book graph , we first find the irregularity strength of triangular book graph , which is also the lower bound for the modular irregularity strength, and then construct a modular irregular -labeling. The result shows that triangular book graphs admit a modular irregular labeling and its modular irregularity strength and irregularity strength are equal, except for a small case.
Maluku Leading Sector Determination Overlay Model
Authors: Tipka Jefri
Published: August 2023

The Overlay Model is an analysis in economic development planning used to understand economic development, the Overlay Model is a combination modeling of LQ (Location Quentient), MRP (Growth Ratio Model) and modified SS-EM (Shift Share Estaban Marquillas). This study aims to analyze the leading sectors in Maluku Province and their effects among external and internal areas. The results show that the economic development in Maluku Province during the 2010-2020 period have three leading sectors that are potential in palying the economy. The results of the research can be used as a policy evaluation for the local government and a consideration in future decision making.
Perancangan Sistem Deteksi Plagiarisme Skripsi (Judul Dan Abstrak) Berbasis Matlab Menggunakan Algoritma Winnowing
Authors: Rijoly Monalisa E. , Pramudita Windy , Tomasouw Berny Pebo , Leleury Zeth Arthur
Published: August 2023

Plagiarism is an act of plagiarizing the work of others who will then acknowledge the work as one's own work without mentioning the source of the work. This research aims to create a plagiarism detection system using the winnowing algorithm in MATLAB to prevent plagiarism in the final project of the Mathematics Department students. In order to get the best k-gram value and window size that will be used in the system, a testing process is carried out between document I (100% data) and document II (80% data) by using variations in k-gram values ​​and window sizes. The test results show that the best k-gram ​​and window size are 12 and 4.
Intertextuality as a device of poetics in Ilgiz Zainiev’s tragedy “Madina”
Authors: Makarova Venera Faizievna
Published: August 2023

The aim of the study is to identify intertextual connections and artistic-poetic features in the tragedy “Madina” by the Tatar playwright Ilgiz Zainiev. The paper examines the dialogue between the tragedy “Madina” and the ancient Greek tragedy “Medea” by Euripides at the level of images and plot. Examples from the history of Turkic-Tatar literature related to antiquity are given. The influence of the style of the English classic W. Shakespeare on I. Zainiev’s text is revealed. The originality of the poetics and style of the tragedy “Madina” is shown. The study is novel in that it is the first to consider a work of modern Tatar drama in connection with an ancient model, to reveal the role of the phenomenon of intertextuality in I. Zainiev’s tragedy as a way of determining the inclusion of the work in a broad universal context and contributing to the universalisation of the depiction. As a result, it has been proved that the moral-historical and cultural-aesthetic experience of the previous era, “someone else’s word” allowed the author to identify the universal meaning of the tragedy of an individual depicted by him.
Features of English-language argotisms in the speech of modern French youth (on the material of the “Glossary of French Rap Verlan” by V. M. Debov)
Authors: Kudriavtseva Natalia Anatolievna
Published: August 2023

The aim of the work is to obtain empirical material based on English-language borrowings for further description of the argotic vocabulary of modern French youth. The research has been carried out on the basis of the “Glossary of French Rap Verlan” by V. M. Debov. The author considers the structure of the argotographic publication, which presents dictionary entries provided with a sociolinguistic commentary and numerous examples of verlanized lexemes in a contextual environment, indicating the frequency of their use. Special attention is paid to the characteristics of an algorithm for selecting argotisms formed with the help of verlanization of English-language borrowings. The coding mechanisms of verlan-formation are described. The paper also deals with the assimilating variants of Anglicisms in the French language. The scientific novelty of the work lies in the development of an algorithm for selecting non-conventional lexemes incorporated in the works by rap artists. An analysis of the “Glossary of French Rap Verlan” by V. M. Debov in order to obtain verlanized argotisms based on English-language borrowings has not been previously carried out. The work is the first attempt to classify the convergent models of verlanized Anglicisms recorded in the publication and to describe the dominant semantic field with the examples of its constituent lexemes. As a result, the extracted lexical units are included in a specialized glossary that can serve as the basis for a comprehensive study of English-language borrowings in the speech of modern French youth.
Neologisms of the coronavirus pandemic era: The lexeme корона (corona) as a productive element of coroneologisms
Authors: Semerdzhidi Valentina Nikolaevna
Published: August 2023

The aim of the research is to identify the family of words with the top name корона/корон- (corona/coron-). The paper analyses 738 out of 3500 words (21%) presented in the ‘Dictionary of the Russian Language of the Coronavirus Era’ containing this root morpheme. The scientific novelty of the research lies in carrying out a comprehensive analysis of the thematic groups and the ways of word building of coroneologisms with the noun корона/корон-. As a result, the coroneologisms have been subdivided into 22 groups (illness and health, statistics data, environment, time period, location, economics and financial operations, the sphere of cultural life, social activity, ways of exercising power, new types of crime, legal regulation, communities, transport, militaristic activity, disasters, academic activity, linguistic phenomena, fashion, public mood, derogatory names for categories of people, positive names for categories of people, slang words). Based on the way of derivation, coroneologisms have been divided into 5 groups (words representing the adhesion of two content words; words with the lexeme корона shortened to the form корон- and a full stem of the second word connected by a service morpheme -o-; blends with a truncated second lexeme; blends with the overlapping of several letters; suffix derivatives). The research identified borrowed words, a wordplay form of derivation and the expressive-evaluative colouring of contaminants; metaphorical and allusive images, as well as the images of natural phenomena that contain coroneologisms.
Synonymy in the English terminology of human viral diseases
Authors: Khanina Kseniia Andreevna
Published: August 2023

The aim of the research is to determine the types, causes and patterns of frequency synonymy in the terminology of human viral diseases. The author analyzes two opposite views on the attitude of linguists toward terminological synonymy and further considers this phenomenon in relation to the terminology under study. The author identifies the types of synonymous terms and demonstrates the manifestation of term variation with examples. The scientific novelty of the research lies in taking a comprehensive approach to the study of synonymic relations within the terminology of human viral diseases, identifying the types of manifestation of variation of its units. The results of the study have shown that term variation is caused by the context or by the change of the speech situation. It has been established that the duplicity of terms is manifested by the influence of the Greek-Latin terminology and is caused by the process of term internationalization. The author notes the preservation of the functioning of obsolete terms in scientific discourse. The author attributes this synonymy to the lack of a systematic approach and consistency in the process of assigning new names to diseases, noting that alternative variants emerge during the process of nomination.
COVID-19: Symptoms Clustering and Severity Classification Using Machine Learning Approach
Authors:   University Teknologi Malaysia, Mohamand Noor Nurul Fathia , Sipail Herold Sylvestro ,   University Teknologi Malaysia, Ahmad Norulhusna ,   University Teknologi Malaysia, Annanurov Bayram ,   Wake Forest School of Medicine, Mohd Noor Norliza ,   University Teknologi Malaysia
Published: August 2023

COVID-19 is an extremely contagious illness that causes illnesses varying from either the common cold to more chronic illnesses or even death. The constant mutation of a new variant of COVID-19 makes it important to identify the symptom of COVID-19 in order to contain the infection. The use of clustering and classification in machine learning is in mainstream use in different aspects of research, especially in recent years to generate useful knowledge on COVID-19outbreak. Many researchers have shared their COVID-19 data on public database and a lot of studies have been carried out. However, the meritof the dataset is unknown and analysis need to be carried by the researchers to check on its reliability. The dataset that is used in thisworkwas sourced from the Kaggle website. The data wasobtained through a survey collected from participants of various gender and age who had been to at least ten countries.There are four levels of severity based on the COVID-19 symptom, which was developed in accordance to World Health Organization (WHO)and the Indian Ministry of Health and Family Welfare recommendations. This paperpresented an inquiry on the dataset utilising supervised and unsupervised machine learning approaches in order to better comprehend the dataset.In this study, the analysisof the severity group based on theCOVID-19 symptomsusing supervised learning techniques employeda total of seven classifiers, namelythe K-NN, Linear SVM, Naive Bayes, Decision Tree (J48), Ada Boost, Bagging, and Stacking.For the unsupervised learning techniques, the clustering algorithm utilized in this work areSimple K-Means and Expectation-Maximization. From the result obtained from both supervised and unsupervised learning techniques, we observed that the result analysis yielded relatively poor classification and clustering results.The findings for the dataset analysed in this study donot appear to be providing the correctresult for the symptoms categorized against the severity levelwhich raises concerns about the validity and reliability of the dataset.
The Knowledge and Use of Speech Therapy Mobile Applications: Speech-Language Pathologists’ Perspectives in Malaysia
Authors:   Universiti Teknologi Malaysia, Kamaruddin Afiqah Iylia , Masrom Maslin ,   Universiti Teknologi Malaysia, A Aziz Mohd Azmarul ,   Universiti Sains Malaysia, Garraffa Maria ,   University of East Anglia, Mohd Noor Norliza ,   Universiti Teknologi Malaysia
Published: August 2023

Technology incorporation in speech therapy has been growing over the years. Mobile applications are among the adoptions that facilitate delivering speech therapy services. The situation in Malaysia is discouraging because there are not enough speech-language pathologists (SLPs) to serve the growing number of populations. Despite the abundance of available speech therapy mobile applications in the market, there is a lack of information focusing on the SLP’s knowledge and usage perspectives,especially inMalaysia.The objectives of this study are to describe the knowledge and usage perspectives of speech therapy mobile applications among SLPs in Malaysiaandto analyze the instructional features and functional features relationships within the perspectivesof SLPs.Surveys are established in three parts, with demographic questions in Part A, Likertscale responses for statements in Part B, and open-ended questions in Part C. This study is co-designed to relate to the results from an initial study that adopted PRISMA(PreferredReporting Items for Systematic Reviews and Meta-Analyses) and features analysis. The data from the initial study includes a review of 161 apps out of 1797 that have been identified. Five instructional features and nine functional features are presented. There are 35 SLPs participatingin the survey. Their responses demonstrate evidence of SLPs’knowledge and usage of speechtherapy mobile applications.We will propose a conceptual framework for the features of speechtherapy mobile applications,using peoplewith aphasiaas a point of reference for users with speech and language disorders
Investigation of ConViT on COVID-19 Lung Image Classification and the Effects of Image Resolution and Number of Attention Heads
Authors:   Swinburne University of Technology Sarawak Campus, Thon Pun Liang , Than Joel C. M. ,   Swinburne University of Technology Sarawak Campus, M. Noor Norliza ,   Universiti Teknologi Malaysia, Han Jun ,   Swinburne University of Technology Sarawak Campus, Then Patrick ,   Swinburne University of Technology Sarawak Campus
Published: August 2023

COVID-19 has beenone of the popular foci in the research community since its first outbreak in China, 2019. Radiological patternssuch as ground glass opacity (GGO) andconsolidations are often found inCT scan images ofmoderate to severe COVID-19 patients. Therefore, a deep learning model can be trained to distinguish COVID-19 patients using their CT scan images. Convolutional Neural Networks (CNNs) has been a popular choice for this type of classification task. Anotherpotential method is the use ofvisiontransformer with convolution, resulting in Convolutional Vision Transformer (ConViT), to possibly produce on par performance using less computational resources. In this study, ConViT is applied to diagnose COVID-19 cases from lung CT scan images. Particularly, we investigated the relationship of the input image pixel resolutions and the number of attention heads used in ConViT and their effects on the model’s performance.Specifically, we used 512x512, 224x224 and 128x128 pixels resolution to train the modelwith 4 (tiny), 9 (small) and 16 (base) number of attention heads used. An open access dataset consisting of 2282 COVID-19 CT images and 9776 Normal CT images from Iran is used in this study. Byusing 128x128 image pixels resolution,training using 16 attention heads, the ConViT modelhas achieved an accuracy of98.01%,sensitivity of90.83%, specificity of99.69%, positive predictive value (PPV) of95.58%, negative predictive value (NPV) of97.89%and F1-score of94.55%.The model has also achieved improvedperformance over other recent studiesthat usedthe same dataset.In conclusion, this study has shown that theConViTmodel can play a meaningful role to complement RT-PCR test on COVID-19 close contacts and patients.
COVID-19 Confirmed Cases Forecasting in Malaysia Using Linear Regression and Holt's Winter Algorithm
Authors:   Universiti Teknologi Malaysia, Hasri Hudzaifah , Mohd Aris Siti Armiza ,   Universiti Teknologi Malaysia, Ahmad Robiah ,   Universiti Teknologi Malaysia, Shahnaz Celia ,   Bangladesh University of Engineering and Technology
Published: August 2023

The 2019 coronavirus disease pandemic (COVID-19)has emerged and is spreading rapidly over the world.Therefore, it may be highly significantto have the general population tested for COVID-19. There has been a rapid surge in the use of machine learning to combat COVID-19 in the past few years, owing to its ability to scale up quickly, its higher processing power, and the fact that it is more trustworthy than peoplein certainmedicaltasks. In this study, we comparedbetweentwo different models: the Holt’s Winter(HW)model and the Linear Regression (LR) model.To obtain the data set of COVID-19, we accessed the website of the Malaysian Ministry of Health.From January 24th, 2020, through July 31st, 2021, daily confirmed instances were documented and saved in Microsoft Excel. Case forecasts for the next 14 days were generated in the Waikato Environment for Knowledge Analysis (WEKA), and the accuracy of the forecasting models was measured by means of the Mean Absolute Percentage Error (MAPE).According to the lowest value of performance indicators, the best model is picked. The results of the comparison demonstrate that Holt's Winter showed betterforecasting outcome than the Linear Regression model. The obtainedresultdepicted the forecasted model can be further analyzed for the purpose of COVID-19 preparation and control.
Subcutaneous Vein Recognition System Using Deep Learning for Intravenous (IV) Access Procedure
Authors:   Universiti Tunku Abdul Rahman, Jing Chan Xiao , Meng Goh Chuan ,   Universiti Tunku Abdul Rahman, Chai Meei Tyng ,   Universiti Tunku Abdul Rahman, Sayed Aluwee Sayed Ahmad Zikri ,   Universiti Tunku Abdul Rahman, Ali Shah Syed Ayaz ,   COMSATS University Islamabad
Published: August 2023

Intravenous(IV) access is animportant daily clinical procedure that delivers fluids or medication into a patient’s vein. However, IV insertion is very challenging where clinicians aresuffering in locating the subcutaneous vein due to patients’physiological factorssuch as hairy forearm and thick dermis fat, and alsomedical staff’s level of fatigue. To resolve this issue, researchers have proposed autonomous machines to be usedfor IV access,but such equipmentarelackingcapabilityin detecting the vein accurately. Therefore, this project proposes an automatic veindetection algorithm using deep learning for IVaccess purpose. U-Net, a fully connected network (FCN) architecture is employed in thisproject due to its capability in detecting the near-infrared (NIR)subcutaneous vein. Data augmentation is applied toincrease the dataset size and reduce the bias from overfitting. The original U-Net architecture is optimized by replacing up-sampling with transpose convolution as well as theadditional implementation ofbatch normalizationbesides reducing the number oflayers to diminish the risk of overfitting.After fine-tuning and retraining the hypermodel, an unsupervised dataset is used to evaluate the hypermodel by selecting 10 checkpoints foreach forearm image and comparing the checkpoints onpredicted outputs to determine true positive vein pixels. The proposed lightweight U-Net has achieved slightly lower accuracy (0.8871) than the original U-Net architecture. Even so, the sensitivity, specificity, and precisionare greatly improved byachieving 0.7806, 0.9935,and 0.9918 respectively. This result indicates that the proposed algorithm can be applied into the venipuncture machine toaccurately locate the subcutaneous vein for intravenous (IV)procedures.
A Study on the Correlation Between Hand Grip and Age Using Statistical and Machine Learning Analysis
Authors:   Universiti Teknologi Malaysia, Usman Sahnius , Rusli Fatin ‘Aliah ,   Universiti Teknologi Malaysia, Bani Nurul Aini ,   Universiti Teknologi Malaysia, Muhtazaruddin Mohd Nabil ,   Universiti Teknologi Malaysia, Muhammad-Sukki Firdaus ,   Edinburgh Napier University
Published: August 2023

Handgrip strength (HGS) is an easy-to-use instrument for monitoring people's health status. Numerous researchers in many countries have done a study on handgrip disease or demographic data. This study focused on classifying aged groups referring to handgrip value using machine learning. A total of fifty-four participants had involved in this study, ages ranging from 24 years to 57 years old. Digital Pinch Grip Analyzer had been used to measure the handgrip measurement three times to get more accurate results. The result is then recorded by Clinical Analysis Software (CAS) that is built into the analyzer. An independent t-test is used to investigate the significant factor for age group classification. The data were then classified using machine learning analysis which are Support Vector Machine (SVM), Random Forest (RF), and Naïve Bayes. The overall dataset shows that the Support Vector Machine is the most suitable classification technique with average accuracy between 5 groups of age is 98%, specificity of 0.79, the sensitivity of 0.9814 and 0.0185 of mean absolute error. SVM also give the lowest mean absolute error compared to RF and Naïve Bayes. This study is consistent with the previous work that there is a relationship between handgrip and age.
Identification of Risk Factors for Scoliosis in Elementary School Children Using Machine Learning
Authors:   Ministry of Health Malaysia, Che Rahmat Ahmad Aizat , A. Jalil Siti Zura ,   Universiti Teknologi Malaysia, Syed Abd Rahman Sharifah Alwiah ,   Universiti Teknologi Malaysia, Usman Sahnius ,   Universiti Teknologi Malaysia, Alam Mohammad Shabbir ,   Jazan University
Published: August 2023

Scoliosis is an abnormal curvature of the spine and often diagnosed in childhood or early adolescence. In this study, the risk factors for scoliosis in elementary school children is investigate based on age, backpack weight and gender. There are 260 children participated in this study from aged 7 up to 12 years old. Scoliometer is used to measure the angle of trunk rotation (ATR) on Adam Forward Bending Test. Statistical analysis of analysis of variance (ANOVA) is used to determine the characteristic difference of ATR readings on the risk factors for scoliosis. Significant results with P-value less than 0.001 are found among ATR readings on a linear combination of risk factors for scoliosis of age and backpack weight. Then, the risk factors for scoliosis are classified among elementary school children using Decision Tree and K-Nearest Neighbor. The classification results shown that both Decision Tree method produced highest classification percentage up to 98.08%. This finding indicates that age and backpack weight are significant as the risk factors for scoliosis.
A Smart Iot-Based Prototype System For Rehabilitation Monitoring
Authors:   Universiti Teknologi Malaysia, H. Mad Kaidi , M.A.M. Izhar ,   Universiti Teknologi Malaysia, N. Ahmad ,   Universiti Teknologi Malaysia, R.A. Dziyauddin ,   Universiti Teknologi Malaysia, S. Sarip ,   Universiti Teknologi Malaysia, N.A. Mashudi ,   City University Malaysia,, Mohamed N. ,   Universiti Teknologi Malaysia, Jalil S.Z.A. ,   Universiti Teknologi Malaysia, M.A. Alam Khan ,   Imam Abdulrahman Bin Faisal University
Published: August 2023

Smart healthcare is growing significantly in the healthcare sector due to the Internet of Things. A remote monitoring system is one of the smart healthcare implementations for rehabilitating stroke patients. Nowadays, as the COVID-19 pandemic continues tospread, patients undergoing home rehabilitation have difficulty meeting with their physicians due to movement constraints. In addition, the healthcare facilities are devoted to treating patients with COVID-19. As a result, physicians and patients could not frequently meet to gather their rehabilitation progress. This study involves developing a prototype to monitor a post-stroke patient's rehabilitation process using the Arduino Nano 33 Bluetooth Low Energy (BLE) and force-sensing resistor (FSR). The prototype analyzes critical aspects of the rehabilitation process based on handgrip, heart rate, sleep, and step tracking measurements. The results of the handgrip, heart rate, sleep, and step tracking measurements are evaluated for various types of subjects and six testing approaches showed an accurate and consistent results. However, experiments partially success with a small error is detected while tracking the steps of each subject. Several recommendations are highlighted to improve the prototype using othersensors such as force sensing resistor and flex sensor for handgrip force transducer, electromyogram (EMG) sensor for stroke-patients rehabilitation, and others.
Analysis On Drone Detection and Classification in LTE-Based Passive Forward Scattering Radar System
Authors:   Universiti Teknologi MARA, Abdul Aziz Noor Hafizah , Mohd Fodzi Muhammad Hazwan ,   Universiti Teknologi MARA, Mohd Shariff Khairul Khaizi ,   Universiti Teknologi MARA, Haron Muhammad Adib ,   Universiti Teknologi MARA
Published: August 2023

Long-Term Evolution (LTE) is most commonly used in connection with 4G networks with high spectral efficiency, high peak data rates, flexible in frequency and bandwidth.By utilizing LTE signal in passive forward scattering radar as transmitter, this system is able to create a microwave domain at the radar's receiver part which generated a moving object's Doppler signature.The emergence of guided missiles, humans, airplanes, and drones that travel through between the forward scatter radar systems can really be spotted with this passive radar system. This study's primary goal is to employ passive forward scattering radar and an LTE signal to detect drones, which are commonly used by individuals to violate or invade private and secure places. In detail, a drone was detected at two distinct heights of twometers(lower) and threemeters(higher) from the ground by utilizingpassive forward scattering radar to generate Doppler signature of the flying drone.This experimental work is conducted at two locations which are Taman Suria (UiTM, Shah Alam) and Teluk Kemang (Port Dickson), due to the telecommunication transmitter antenna transmits Long-Term Evolution (LTE) signal with frequency of 1.8 GHz and 2.6 GHz. The results of drone detection at various heights were evaluated using Principal Component Analysis (PCA)on all the experimental data obtained. According to the evaluation, the lower height of the drone performedbetter in classification and confusion matrices analysis than the upper height due to a larger cross-sectional area for the lower height of the drone that travelled through the forward scatter zone.In summary, the overall study clearly demonstrates the effective categorization of flying drone detection at upper and lower positions in Principle Component Analysis (PCA). For future contribution of this research, it can be used at the airport to detect any unwanted drones trespassing the flight departure area, and important areas such as the Federal Administrative Centre of Malaysia, Putrajaya for spying purposes.
Focal Region Ray Tracing of Conventional and Shaped Lens Antenna
Authors:   Universiti Teknologi Malaysia, Muhsin M. , Kamardin Kamilia ,   Universiti Teknologi Malaysia, Yamada Yoshihide ,   Universiti Teknologi Malaysia
Published: August 2023

Multibeam lens antennas are useful for 5G mobile communication systems. For multibeam design, feed position determination of specified lens becomes an important subject. The feed position data can be obtained from focal region ray tracing. In this paper, asimple and convenient ray tracing method by using the MATLAB function of “polyxpoly” is proposed. To evaluate the program, focal region ray tracing on conventional hyperbolic planar, spherical convex, and Abbe’s sine conditionlens arepresented in this paper. For focal region ray tracing, parallel incident ray is considered. The incident ray’s angle is changed from 0 degree to 30 degrees with an interval of 10 degrees. On hyperbolic planar and spherical convex lenses, ray concentration at the focal regionis distorted at incident angle of 10 degrees and above. On Abbe’s sine condition lens, good concentration is maintained until 20 degrees. Concentration points agree well with the theoretical value. Therefore, the correctness of the program is ensured.
Multibeam Array Antenna with Compact Size Butler Matrix for Millimeter-Wave Application
Authors:   Multimedia University, Md Jizat Noorlindawaty , Yamada Yoshihide ,   Universiti Teknologi Malaysia Kuala Lumpur, Yusoff Zubaida ,   Multimedia University
Published: August 2023

New radio wave technologies of millimeter-wave (mmWave), compact cell size, and multi beam base station are introduced with the recent development of the 5G mobile system. The Butler Matrix (BM) feed circuit is the most preferable candidate for the 5G mobile system since it can achieve multi beam radiationpatterns at the array antenna, provide structural compactness and produce good multi beams.The BM circuit is typically built on a single dielectric substrate. However, in this single-substrate structure, the micro strip line connecting several circuit elements in the BM spans over a large area, resulting in significant feeding loss in the millimeter frequency band.In this study, a compact size circuit configuration of BM is proposed, where the original single-substrate structure is modified into a two-substrate stacking structure. The via-hole is designed to connect the two substrates with minimal path loss. The BM is built for the 28 GHz band with four inputs and four outputs.The phase delay is optimized using via-hole to produce the phase difference of ±45º and ±135º. The coupling for the hybrid is -3 dB, while the transmission coefficient of -6 ± 3 is achieved from the BM structure and, the return loss (Sii) for both input and output ports are less than -10 dB. The two-substrate BM is combined with the rectangular patch antenna and the via-hole patch antenna in a planar configuration of 0.5 λ0spacing to obtain the radiation patterns. When the Port 1 through Port 4 of the BM are fed, four beams are created, with peak gains of 11.2 dBi, 9.87 dBi, 10.2 dBi, and 11.7 dBi, respectively, towards +16°, -35°, +39°, and -12°. The analysis includes the radiation performance from the ideal value and from the BM input. Three-dimensional representations of good multibeam radiation patterns are obtained after each input signal of the BM is fed
Textile Characterization for Wearable Antenna Application Using Transmission Line Method
Authors:   SEGi University, Md. Pazil Anis Fariza , Abd Rahman Nurul Huda ,   Universiti Teknologi MARA, Ramli Nurulazlina ,   SEGi University, Awang Robi'atun Adayiah ,   Universiti Teknologi MARA, Abdul Aziz Noor Hafizah ,   Universiti Teknologi MARA
Published: August 2023

This proposed work introduces the textile characterisation analysis based on the effects of fabric thickness and dielectric properties using the transmission line method for a wearable textile antenna. The return loss (S11) and transmission loss (S21) were analysed for denim, felt and Tencel in correlation with the conductivity properties using Computer Simulation Technology with Rogers 5880as the reference sample. By varying the fabric thickness from 0.5 mm to 4 mm, the optimum thickness and type of fabric can be identified from the S11and S21parameters. In the transmission line simulation, the sample-under-test is a stripline with the conductivity values from 10-2to 108S/m. Results are further plotted against the thicknesses to observe the behaviour of all three textiles samples. The results show that Felt substrate with 3 mm thickness give the best performance. The felt substrate demonstrates the best transmission performance judging from the lowest transmission loss due to the low tangent loss followed by Tencel and denim.For accuracy analysis, the actual and calculated conductivity were also presented to show the textiles performanceat low and high region of conductivity. The study reveals the importance of choosing the correct substrate with suitable dielectric and electrical properties before being implemented into the antenna design for good efficiency.
Characterizing Passively Q-switched Fiber Laser in LiDAR Application
Authors:   Universiti Teknologi Malaysia, Mafroos Mahroof Mohamed , Ameelia Nur ,   Universiti Teknologi Malaysia, Jameela Husni Hani ,   Universiti Teknologi Malaysia, Hamzah Azura ,   Universiti Teknologi Malaysia
Published: August 2023

A LiDAR system consists of a Q-switched fiber laser that emits light pulses to measure the distance from the target. We have experimentally demonstrated a passively Q-switched erbium-doped fiber laser (EDFL) by employing graphene saturable absorber (SA). The SA was prepared by dipping a polyvinyl alcohol (PVA) thin film into the graphene solution. Once the SA was fabricated, it can be placed in the cavity to perform pulses and it is operating at 1558.92 nm. The shortest pulse received is 3.9 μs and generated at the repetition rate of 115 kHz. The pulses are stable between pump powers of 59.6mW and 127.1 mW. At the maximum pump power value of127.1 mW, thelaser cavity produced pulses with a 1.4mW output power and a 1.1nJ pulse energy.
Design of Normal Mode Helical Antenna for Seawater Application
Authors:   Universiti Teknologi Malaysia, Mohd Razali Siti Harliza , Ngah Razali ,   Universiti Teknologi Malaysia, Kamardin Kamilia ,   Universiti Teknologi Malaysia, Yamada Yoshihide ,   Universiti Teknologi Malaysia
Published: August 2023

To overcome the substantial propagation loss in the ocean, a low frequency band should be chosen when contemplating radio wave communication.Then, the antenna used at the portable radio equipment should be very small compare to the wavelength. For the miniaturized antenna, the normal mode helical antenna(NMHA) is suitable because of achieving high efficiency. In this paper, design method of NMHA in the seawater condition (r=81, =4) is explained. The frequency bands of 100MHz and 15MHz are selected. The self-resonant structures are determined based on the theoretical equation. Electrical characteristics such as resonant frequency, input impedance, VWSR and antenna efficiency are obtained through simulation by FEKO simulator. Electromagnetic simulation model is formed by taking into account the practical experimental condition. At 100MHz and 15MHz, resonances are ensured for antenna diameter lengths of 6.83 cm and 12.2 cm respectively. Input resistance of 27.15and 94.14, antenna efficiencies of -14.88dB and -26.27dB are achieved at 100MHz and 15MHz respectively.
Metallic Cylinder Reflected Power Measurement For 93.1GHz Frequency Modulated Continuous Wave Radar Calibration
Authors:   Universiti Teknologi Malaysia, Ja’afar P. N. , Idrus S. M. ,   Universiti Teknologi Malaysia, Ambran S. ,   Universiti Teknologi Malaysia, Yusri N. A. ,   Universiti Teknologi Malaysia, Mohamed N. ,   Universiti Teknologi Malaysia, Hamzah A. ,   Universiti Teknologi Malaysia, Shibagaki N. ,   Hitachi Kokusai Electric Inc., Kashima K. ,   Hitachi Kokusai Electric Inc., Hayashi T. ,   Link Laboratory Inc.
Published: August 2023

A metallic cylinder is one of the best materials and shapes to calibratingradar system performance. In addition toits reflective properties, metallic cylindersallow foraccurate modeling for prediction of radar cross-section (RCS). This study presents themeasurement of a metallic cylinder with a diameter of 4cm and a height of 3cm as a target,analyzedinthe millimeter-wave (mm-wave) spectrum. Theexperiment was conducted in thereal airport environment at Kuala Lumpur International Airport, Malaysia, underclear sky conditions. The measurement was carried out at 93.1 GHz utilizing aFrequency Modulated Continuous Wave (FMCW) radar to consistently detect the target. TheRCSof the metallic cylinder wasmeasured at differentangles relative to therunway pavement. The results showed that the measurements exhibited smaller RCS value at longer ranges, with an average of –43.47 dBsm,compared to –30.16 dBsm at shorter ranges,indicating a total change of 13.31 dBsm. The reflectivity characteristics of the radar target, theoretical measurementsof the metallic cylinder, incident anglesfrom the radar target, and measurement evaluationsare presented in this paper.
The Role of Al-Kawniyyat Verses in The Glorious Qur’an On Contemplation and Scientific Discoveries: The Neglected Treasures
Authors:   Muslim University of Morogoro, Kitota Abdillah Mussa
Published: August 2023

Despite the fact that the Qur’an, 16:89 has described the Qur’an as a book which clarifies everything, available evidence suggests that most Muslims have neglected the most important treasures of al-kawniyyatverses (verses related to creation)as tools for both contemplation and scientific discoveries. This study has adopted aqualitative systematic review design to analyze these treasures. The relevant data were collected from the Qur’an, published reports and articles, and analyzed by thematic approach. The results show that the Qur’an contains many kawniyyatverses that in addition to laying-down the foundation for contemplation of the wonders and majesty of Allah (S.W.T) in His creation, they also direct us how to understand and applying them for scientific and technological discoveries.This is through the kawniyyatverses that direct or invite us to make observations on different creations, contemplating and drawing lessons from them, that narrate to us about science and technological advancements of the previous nations and inviting us to contemplate and draw lessons from them, that have used physical, chemical and biological similitudes to describe or allude to different creations and inviting us to contemplate and draw lessons from them, that describe or allude to various mechanisms of creation and invite us to contemplate and draw lessons from them, that indicate the source of iron (and other heavy metals), exposing many benefits of using them and directing us to use them, that promise that Allah (S.W.T) will continue to show us his signs in the universe and within ourselves and inviting us to contemplate and draw lessons from them. This study is offered as a modest attempt to stimulate our psychological motivation with a view to enhancing and enriching our understanding on how to deal with kawniyyat verses.
Parasites and Microbes On the Bodies of Mosquitoes: A Systematic Review Based on the Tafsir of Surat Al-Baqarah, 2:26 and Signs in Modern Medicine
Authors:   Muslim University of Morogoro, Kitota Abdillah Mussa
Published: August 2023

This study has adopted a qualitative systematic review design to analyze the reason behind the revelation of Qur’an, 2:26 and its implications according to the signs in modern medicine. The relevant tafsir of the Qur’anic verses were collected from famous tafsir of the Qur’an. Data concerning modern medicine were collected from the published articles screened from MEDLINEand PUBMEDdatabases. Data were then analyzed by Thematic analysis to show what Allah (S.W.T) has shown the medical experts with regardsto what He has revealed in this verse. The results show that the phrase اَهَقْوَفاَمَفused in the phrase ًةَضوُعَباَّمًلًَثَمَبِرْضَينَأيِيْحَتْسَيَلَََّّاللََّّنِإof this verse exposes that Allah (S.W.T) has dispersed small creatures [such as parasites and microbes] ‘on top’ of the mosquitoes’ bodies.This study may provide us with a glimpse of the wonders of the Qur’an and the Majesty of Allah (S.W.T).
A Systematic Review of Biomedical and Psychosocial Factors for Suicide: An Islamic Perspective
Authors:   Muslim University of Morogoro, Kitota Abdillah Mussa
Published: August 2023

Suicide is a complex public health problem of global dimension with un-even distribution rates. The objectives of this review is to describe the concept of suicide, its causes and preventive measures in the light of the glorious Qur’an and ahadith/sunnah as the principal sources of Maqasid Al-Shari’ah in Islam. Descriptive study design was used to review the data collected from published articles, books, news and reports. The findings show that suicide may be caused by social-economic factors; catalysed by psychological problems, mental illnesses, physical illnesses, genetics and medication. Qur’an, 4:29 has strictly forbidden people to kill themselves, while various ahadith have made it clear that whoever kills himself with something, Allah (SWT) will punish him with whatever he has killed himself with in the Hellfire. The guidelines to prevent suicide include strengthening personal relationships, reciting and comprehending the glorious Qur’an, supplication, ruqya, patience and reliance to Allah(SWT).
A Study of Covid-19 Relative Fatalities of the Abrahamic Religion Populations
Authors:   AEOI P.O. Box: 14395-836, Khodadoost Baback
Published: August 2023

More than three years statistics of the Covid-19 pandemic shows great anomalies in relative fatalities of different countries. Computations show that Christian and Jewish populations, by a factor of 4 to 5, suffer greater relative fatalities compared to the Muslim populations. Ironically, most Muslim populations are developing or underdeveloped, deprived of health services available to the mostly-developed Christian and Jewish populations. Factors that may be contributing to the fatality discrepancies such as, development status, median ages, and alcohol consumption rates, have been discussed. A Quranic forbiddance of drinking alcohol has been suggested as an important factor in the lower fatalities of the Muslim populations in Covid-19 pandemic.
Islamic Modernism and Tafsir in Nineteenth Century Egypt: A Critical Analysis of Muhammad Abduh’s Exegesis
Authors:   Yusuf Maitama Sule University, Adam Ibrahim Ilyasu
Published: August 2023

The aim of this paper is to examine the concept of Islamic modernism in nineteenth-century Egypt as expressed in Tafsir al-Manar, placing particular emphasis on Muhammad ‘Abduh (1849-1905). The major focus of the paper is human reason (‘aql) as perceived by ‘Abduh and reflected in Tafsir al-Manar. Towards the end of the nineteenth century, Quranic exegesis gained new momentum with the emergence of Islamic modernism. In Egypt, ‘Abduh used tafsir as a major vehicle to disseminate his revolutionary thoughts. The central concept of his reform was that Islam could not face the challenges of modernity and the West unless Muslims learnt modern and other rational sciences. ‘Abduh abandoned the traditional formula of tafsir in favour of the rationalist approach, which he believed was essential in order to demonstrate the viability of Islam to the modern period. Traditional exegetes, he argued, had wasted too much effort on delving into the ‘technicalities’ of grammar, theological disputes and other extraneous material. Tafsir, he maintained, had to be presented in a style adaptable to the demands of the society. Moreover, for the present situation of Muslims to be improved and for Islamic modernism to be sustained, the Quran had to be rationally interpreted. This paper examines the concept of Islamic modernism in nineteenth century Egypt, as expressed in Tafsir al-Manar, making particular reference to Muhammad ‘Abduh (1849-1905). It evaluates his contributions to modern tafsir and analyse his rational approach in the interpretation of the Quran.
Method for synthesizing a matched filter
Authors:   Sevastopol State University, 299053, Russia, Sevastopol, Universitetskaya St., 33, Degtyaryov A.N. , Afonin I.L. ,   Sevastopol State University 299053, Russia, Sevastopol, Universitetskaya St., 33, Polyakov A.L. ,   Sevastopol State University 299053, Russia, Sevastopol, Universitetskaya St., 33
Published: August 2023

The paper studies the method of approximating the complex transfer coefficient of a matched, physically realizable, stable filter having the minimum required number of functional units. We propose a method of approximation of the complex transfer coefficient of a matched filter, namely: approximation by the complex coefficient of the device obtained by cascade connection of a linear time-invariant system and an allpass circuit. The linear time-invariant system has an amplitude-frequency response equal to the modulus of the spectral density of the signal with which the filter is matched. The complex transfer coefficient of the all-pass circuit is defined with taking into account the required phase-frequency response of the matched filter. As a result, the number of matched filter elements is significantly reduced.