bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semi-Automatic Design of Dual-Band End-Fed Antennas for Digital Antenna Arrays
Authors: Alekseytsev S. A. , Kolesnikov A. A. , Parshin Yu. N. 
Published: July 2024

Introduction. The topic of implementing a dual-band mode of operation for director dipole antennas is represented by a wide range of works, almost all of which are dedicated to studying the properties of a classic dipole. However, the issue of end excitation of radiators for dual-band director antennas remains open. The development of such radiators requires a deep analysis both from the point of view of developing mathematical and electrodynamics models, which corresponds to the tactical and technical requirements of modern digital antenna arrays.Aim. To substantiate a procedure for determining the initial appearance of a dual-band antenna exciter from the standpoint of the systems approach to the design of antenna elements and nodes. This procedure is suitable for a semi-automated design of more complex antenna systems.Materials and methods. As part of the research, the input impedance of a dual-band system consisting of two active radiators and two passive directors was determined using the method of induced electromotive forces (EMF). Models of dual-band director radiators were developed using the CST Studio Suite 2021 full-wave electromagnetic simulation.Results. The results of developing procedures for a semi-automatic design of antennas with a dual-band function of input impedance are presented. Following a comparative analysis, approaches to implementing the printed layout of an antenna comprising standard radio engineering components, which imply serial production, are proposed.Conclusion. The proposed models can be used when designing director, turnstile, and cardioid antennas, as well as antenna arrays. These designs are analogous to antennas based on a classic central excited dipole.
Algorithm for Assessing the Characteristics of a Waveguide Slot Antenna Array when Changing Antenna Element Phasing
Authors: Kryachko A. F. , Gladky N. A. , Bibarsov M. R. , Ayukov B. A. 
Published: July 2024

Introduction. When operating antennas in various radio-electronic systems, the influence of phase shifter (PS) failures on the characteristics of phased array antennas, waveguide-slot phased array antennas (WSPAA) in particular, should be taken into account. A review of publications shows a lack of research studies into failures of these elements.Aim. Research of WSPAA characteristics in the event of PS failures, when their phase takes a value equal to zero instead of the required value.Materials and methods. Statistical modeling methods were used to study the impact of PS failures on WSPAA characteristics. Calculations were carried out using a PC and the Mathcad 15 applied mathematics package.Results. An algorithm for statistical modeling of the impact of PS failures on WSPAA characteristics is proposed. A relationship that connects the radiation pattern with the statistical sample volume and the number of failed PSs is presented. Malfunctions of emitters from 5 to 35 out of 50 elements were investigated. Changes in the following characteristics were obtained: standard deviation - from 0.064 to 0.18; relative values: radiation pattern width - from 8 to 18 %; level of side lobes - from 13 to 59 %; radiation power - from 0.9 to 0.3.Conclusion. The results obtained can be generalized and used in radio-electronic systems with antenna arrays at the stage of their development. Future work will address the influence of PS failures with phases being established randomly and with random values, as well as PS failures in which power does not pass into the emitter. Another important area concerns compensation of distortions resulting from failures of antenna elements.
CFAR Target Detector in Synthetic Aperture Radar
Authors: Monakov A. A. 
Published: July 2024

Introduction. Constant false alarm rate (CFAR) detectors have found application in synthetic aperture radar (SAR) systems. The operating principle of a classic cell averaging detector (CA-CFAR detector) is based on comparing the decision statistics in the test resolution element with an adaptive threshold, which is calculated from signals in the reference cells. The decision statistic is an estimate of the signal power. Therefore, target signal detection is based on the brightness contrast of the test and reference resolution cells. Such a detector is optimal provided that the noise background is homogeneous. In cases where the background homogeneity is violated, the quality of detection deteriorates. There are several known methods for improving the quality of detection (GO-CFAR, SO-CFAR, OS-CFAR, etc.). However, the precise principle of detection by brightness contrast in such CFAR detectors remains unchanged.Aim. To synthesize a CFAR detector that uses not only the brightness contrast between the test and reference resolution cells, but also the spectral differences of the signals.Materials and methods. The proposed CFAR detector uses estimates of the algebraic moments of the power spectral density of signals in range cells, based on which three decision statistics are calculated containing information about the power, the position of the energy center, and the width of the signal spectrum. The decision about the presence of a target in the test cell is carried out according to the 2/3 rule (2 threshold overshoots out of 3 comparisons).Results. A comparison of the proposed detector with the SO-CFAR detector, performed by computer simulation, showed that, under a signal-to-clutter ratio of -6 dB and a false alarm probability of 10-4, the detection probability of the proposed detector was 0.933 versus 0.708 for the SO-CFAR detector.Conclusion. The article proposes a three-parameter CFAR detector for a synthetic aperture radar system, in which the decision on the presence of a target in the test cell is made via estimation of the first three algebraic moments of the signal spectrum. The synthesized detection algorithm can also be used when detecting moving targets in SAR.
Method for Two-Stage Radar Measurement of the Blade Repetition Rate of a Propeller-Driven Aircraft
Authors: Heister S. R. , Kirichenko V. V. 
Published: July 2024

Introduction. Radar images of aircraft propellers can significantly improve the quality of their recognition and protection against simulating interference. Such images can be obtained using algorithms based on an inverse antenna aperture synthesis. A key factor determining the quality of image acquisition is the accuracy of the rotor blade rotation frequency measurement. In 2019, a method for measuring the blade repetition rate was proposed, which is based on convolution of the "secondary" signal modulation spectrum while simultaneously eliminating the influence of the Doppler frequency of the signal reflected from the aircraft body. In sequential analysis, the number of cycles is determined by the ratio of the maximum blade repetition rate (hundreds of hertz) to the discrete frequency shift (thousandths of hertz). In this case, to solve the measurement problem, the required number of cycles should be hundreds of thousands, which is expensive in terms of practical implementation.Aim. Development of a two-stage method for measuring the blade repetition rate, which allows the number of signal convolution cycles to be reduced by hundreds of times.Materials and methods. The proposed method is aimed at implementing adaptation circuits to an a priori unknown rotor speed of an aircraft, which can be determined based on the blade rotation frequency. The method involves measuring the blade frequency in two stages: a rough measurement of the blade frequency rate followed by its accurate measurement within the limits of the maximum errors of the rough measurement.Results. A method for a two-stage measurement of the blade repetition rate as applied to the construction of radar images of aircraft propellers is proposed. The feasibility of the method is illustrated by the example of a signal reflected from a Mi-8 helicopter. The requirements to the measurement error of the blade repetition rate and to the frequency analysis step at the precise measurement stage are formulated. The requirement to the repetition rate of probing signals is substantiated, the fulfillment of which ensures an unambiguous restoration of the spectrum of "secondary" modulation of the signal reflected from the blades of a propeller-driven aircraft.Conclusion. The developed method for a two-stage measurement of the blade repetition rate ensures the adaptation of algorithms for constructing radar images of aircraft propellers to their rotation frequency.
Analisis Ketahanan Hidup Pasien COVID-19 Menggunakan Pendekatan Multivariate Adaptive Regression Spline (MARS)
Authors: Khoirunnisa Wilda , Fatekurohman Mohamat , Tirta I Made 
Published: July 2024

Latar Belakang: Tahun 2019 dunia digemparkan dengan terjadinya penyebaran penyakit baru yaitu Coronavirus Disease 19 (COVID-19) yang merupakan penyakit menular disebabkan oleh jenis corona virus bernama Severe Acute Repiratory Syndrome Coronavirus 2 (SARS-CoV-2). Virus ini menyebabkan gangguan pada sistem pernapasan, infeksi paru-paru, pneumonia akut, bahkan kematian, sehingga dilakukan analisis ketahanan hidup pasien COVID-19.
Tujuan: Mendapatkan model dan mengetahui faktor paling mempengaruhi ketahanan hidup pasien COVID-19 di RSD dr. Soebandi Jember berdasarkan variabel prediktor yang digunakan.
Metode: Penelitian ini menggunakan metode pendekatan MARS untuk menganalisis data. Data yang digunakan yaitu data rekam medis pasien COVID-19 tahun 2020 – 2021 di RSD dr. Soebandi Jember.
Hasil: Model MARS terbaik berdasarkan kombinasi Basis Function (BF), Maximum Interaction (MI), dan Minimum Observation (MO) yang bernilai masing-masing 24, 3, dan 0 dengan nilai Generalized Cross Validation (GCV) terkecil yaitu 0,135. Berdasarkan model MARS yang diperoleh, 7 dari 12 variabel prediktor yang digunakan berpengaruh pada ketahanan hidup pasien COVID-19 yaitu usia, jenis kelamin, status gagal napas, status hipertensi, status pneumonia, status koagulopati, dan status penyakit lainnya.
Kesimpulan: Variabel yang paling mempengaruhi ketahanan hidup pasien COVID-19 di RSD dr. Soebandi menggunakan pendekatan MARS berdasarkan variabel prediktor yang digunakan adalah status gagal napas.
APPLICATION OF ALGORITHMS FOR ANOMALY DETECTION IN HEALTH-ENABLED SENSOR-CLOUD INFRASTRUCTURE
Authors: Adigwe A. R. , Edje Abel , Omede G. , Atonuje O. E. , Akazue M. I. , Apanapudor J. S. 
Published: July 2024

Real-time patient monitoring and early disease diagnosis are two ways that the healthcare industry is benefiting from the integration of sensors and cloud technology. In order to detect changes in patient's health, a variety of non-invasive sensors are applied to the skin to monitor various physiological parameters. The collected data are then wirelessly communicated to the cloud data center. However, the transmitted data are susceptible to several sources of interference called anomalies. Anomalies is when a sudden change occurs from the expected sensor data generated. This may be as a result of sensor faults, measurement faults, injection and alteration by malicious attackers. Therefore, this research tends to conduct a survey on existing algorithms or techniques used for the detection of anomalies in health-enabled sensor-cloud infrastructure. The processes adopted by the algorithms were identified and discussed exhaustively. In addition, the simulation setup and programming languages adopted to implement and evaluate the existing algorithms, followed by the limitations of the algorithms, which may lead to future research directions are captured in this paper. The outcome of the research shows that machine learning algorithms were predominantly adopted for detecting anomalies with the support of clustering and classification processes. Furthermore, Visual Basic.Net simulation tool and Python programming language was mostly adopted for experimentation and evaluation of the existing techniques. Limitations such as overfitting, under-fitting, computation complexity (time and memory space), and missing data are hindering the optimal performance of existing algorithm, which needs to be addressed in future researches.
MOLECULAR BEAM EPITAXY GROWTH OF HIGH-QUALITY InN NANORODS ON Si (111) SUBSTRATE
Authors: Anyebe Ezekiel Anyebe 
Published: July 2024

The growth of high-quality InN nanorods (NRs) on Si (111) by plasma-assisted molecular beam epitaxy (PAMBE) is reported. X-ray diffraction and Raman spectroscopy investigations indicates that the NRs are wurtzite, c-axis oriented and single crystalline. Low temperature photoluminescence emissions with peak energy of ~ 0.75eV was observed indicating the high quality of the nanostructures. This study unravels a novel strategy for the successful growth of high-quality InN NRs on Silicon which is highly promising for applications in next generation nanodevices.
COMPARATIVE ANALYSIS OF RANDOM FOREST AND ADABOOST LEARNING MODELS FOR THE CLASSIFICATION OF ATTACKS IN INTERNET OF THINGS
Authors: Adeniyi Usman Adedayo , Alimi Maruf Olasunkanmi , Oyelakin Akinyemi Moruff , Abdullahi Samaila Musa 
Published: July 2024

Attacks are actions that attempt to break one of the following properties of the computer system: confidentiality, integrity, and availability. The immense increment in the amount of internet applications and the appearance of modern networks has created the need for improved security mechanisms. Internet of Things (IoT) is a system that uses the Internet to facilitate communication between sensors and devices. Several approaches have been used to build attacks detection system in the past. This study built two ensemble models for the classification of attacks using Random Forest and Adaboost algorithms respectively. Feature importance was used for selecting promising attributes from the IoT intrusion dataset. Thereafter, the results of the classification models were evaluated and compared. The models were evaluated based on when feature selection technique was applied and without respectively. For Random Forest-based classification model with feature selection, 99.0% ,0.95,0.88,0.82, were obtained for accuracy, recall, f1-score, and precision respectively while without feature selection 69.0%,0.86,0.76,0.64 were obtained respectively. For Adaboost-based classification model with feature selection 99.0%.0.69,0.61,0.66 were obtained for accuracy, recall, f1-score and precision respectively. Without feature selection the Adaboost model recorded 58.0%,0.58,0.48,0.50 respectively. The results showed that both models achieved high rates with feature selection technique used, with Random Forest performing slightly better, both learning models showed promised performances in classifying attacks in IoT environments. This study concluded that the use of the chosen feature selection method helped improve the performances of the two ensembles in the classification of attacks in the IoT dataset.
PREVALENCE OF SCHISTOSOMA HAEMATOBIUM INFECTION AMONG PRIMARY SCHOOL CHILDREN IN FASKARI AND FUNTUA LOCAL GOVERNMENT AREAS OF KATSINA STATE, NIGERIA
Authors: Bello Sagir , Eberemu E. C. , Orpin J. B. , Ya’u S. 
Published: July 2024

Schistosomiasis is a water-borne parasitic disease caused by Schistosoma; the digeic trematode found in the blood vessels of a man and livestock. This study was conducted to determine the prevalence of schistosoma haematobium infection among the Primary Schools pupils in Faskari and Funtua Local Government Areas of Katsina State. A total of 496 of urine samples were collected from children of 8 Primary Schools in the study areas; 4 from each local government. A questionnaire was used to collect socio-demographic and other exposure information to explore Schistosoma infection for urine, and urine sedimentation microscopic technique was used for sample analysis. Data were expressed in prevalence (%) and subjected to Chi-square analysis at p < 0.05. Out of the 496 children assessed, 160 (32.2%) were positive for urinary schistosomiasis. The prevalence is significantly (p<0.05) higher in Faskari Model Primary School with (48.3%). It was found from the result that, there was no significant relationship (P=6.608) between source of water and Schistosoma haematobium infection among the pupils in the study areas. There was also no statistical association (P= 1.570) between the source of water for bathing and the infection of urinary schistosomiasis among the students in the study areas. Therefore, schistosomiasis is prevalent in the study areas with Faskari local government having higher prevalence of the infection.
Pengaruh Ukuran Perusahaan, Kompleksitas, dan Profitabilitas Perusahaan Terhadap Audit Fee
Authors: Nasution Asyifa Khairunnisa , Nizarudin Abu , Vebtasvili  
Published: July 2024

Laporan keuangan dibutuhkan sebagai informasi keuangan perusahaan. Investor memerlukan laporan keuangan untuk membuat keputusan investasi. Laporan keuangan perlu diaudit untuk menjamin keakuratan dan keterandalan informasi, melindungi investor, dan mematuhi persyaratan hukum dan regulasi. Penelitian ini bertujuan untuk menganalisis pengaruh ukuran perusahaan, kompleksitas, dan profitabilitas perusahaan terhadap audit fee pada sektor perbankan yang terdaftar di BEI selama periode 2020-2022. Pengambilan sampel menggunakan metode purposive sampling dimana terdapat 29 perusahaan sektor perbankan yang memenuhi kriteria penelitian selama periode 2020-2022. Pengumpulan data dalam penelitian ini menggunakan metode dokumentasi dan metode statistik yang digunakan dalam pengujian hipotesis penelitan adalah analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa secara parsial variabel ukuran perusahaan dan kompleksitas berpengaruh positif dan secara signifikan terhadap variabel audit fee. Sementara variabel profitabilitas perusahaan berpengaruh negatif secara tidak signifikan terhadap audit fee. Secara simultan, variabel ukuran perusahaan, kompleksitas, dan profitabilitas perusahaan berpengaruh terhadap audit fee.
Program Edukasi Ekstrikasi dan Transportasi Korban untuk Anggota Palang Merah Remaja dengan SMA Negeri 1 Pontianak
Authors: Fauzan Suhaimi , Novikadarti Gabby , Pramana Yoga , Maulana M. Ali , Herdaningsih Sulastri 
Published: July 2024

ABSTRAK Ekstrikasi merupakan konsep penyelamatan darurat, sementara transportasi merupakan proses untuk memindahkan korban dari tempat darurat ke tempat yang aman ada atau tidak disertai menggunakan alat. Pertolongan pertama di sekolah seringkali diberikan oleh anggota Palang Merah Remaja (PMR). Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan edukasi melalui pelatihan tentang cara ekstrikasi dan transportasi, sehingga, diharapkan mempunyai bekal untuk dapat menerapkan pada situasi-situasi kegawatdaruratan. Program Pegabdian Kepada Masyarakat (PKM) ini dilakukan dengan metode ceramah dan demonstrasi kelompok. Hasil tingkat pengetahuan diukur sebelum dan sesudah diberikan pendidikan kesehatan. rataßrata tingkat pengetahuan peserta sebelum dilakukan tindakan sebesar 77,5, sementara setelah dilakukan edukasi, tingkat pengetahuan peserta menjadi 87,5. Hasil y score uji wilcoxon menunjukkan -2,409. Program ini menunjukkan ada pengaruh signifikan pemberian edikasi kesehatan tentang ekstrikasi dan transportasi korban pada peserta PMR di SMA Negeri Pontianak. Kata Kunci: Ekstrikasi, PMR, Siswa, Transportasi ABSTRACT Extrication is an emergency rescue concept, while transportation is the process of moving victims from an emergency place to a safe place, whether or not accompanied by the use of tools. First aid at school is often provided by members of the Youth Red Cross (PMR). This community service activity aims to provide education through training on extraction and transportation methods, so that it is hoped that they will have the skills to be able to apply it to emergency situations. The Community Service Program (PKM) is carried out using lecture and group demonstration methods. The results of the level of knowledge were measured before and after being given health education. The average level of knowledge of participants before the action was carried out was 77.5, while after the education was carried out, the level of knowledge of participants was 87.5. The Wilcoxon test y score results show -2.409. This program shows that there is a significant effect of providing health education regarding extrication and transportation of victims to PMR participants at Pontianak State High School. Keywords: Extrication, PMR, Student, Transportation
Pemberian Edukasi Pada Ibu Nifas di Klinik Bersalin Angel Hiromi Bumi Sehat (AHBS)
Authors: Pratami Yustika Rahmawati , Lestari Susi , Hasnia Hasnia , Lestari Tiyan Febriani , Handayani Endah Purwanti , Putri Harlinda Widia 
Published: July 2024

ABSTRAK Masih banyak ibu yang belum memahami apa itu masa nifas. Kurangnya pengetahuan tentang perubahan-perubahan masa selama masa nifas, seperti bagaimana berubahan yang normal dan tidak normal selama masa nifas serta perawatan masa nifas masih menjadi masalah pada mitra pengabdian kepada masyarakat kali ini. Permasalahan mitra ini kami lakukan pemberian edukasi terkait masa nifas pada seluruh peserta ibu nifas yang dapat menghadiri kegiatan di klinik bersalin AHBS. Metode dalam pemberian edukasi ini melalui tiga tahapan pertama pemberian edukasi yang dibandu dengan media leaflet dan penyuluhan, kedua melakukan tanya jawab serta menanyakan keluhan peserta ketiga melakukan pemechan masalah dari peserta mitra pengabdian kepada masyarakat ini. Hasil kegiatan ini masih ditemukan ibu dengan masalah terkait masa nifas salah satunya kurangnya pengetahuan. Kesimpulannya kegiatan ini masih harus terus dilakukan untuk membantu seluruh ibu untuk lebih mengetahui dan memahami tentang masa nifasnya. Kata Kunci: Masa Nifas, Perubahan Masa Nifas, Perawatan Perineum. ABSTRACT There are still many mothers who don't understand what the postpartum period is. Lack of knowledge about changes during the postpartum period, such as normal and abnormal changes during the postpartum period and postpartum care, is still a problem for community service partners this time. The problem with this partner is that we provide education regarding the postpartum period to all postpartum mother participants who can attend activities at the AHBS maternity clinic. The method for providing this education is through three stages: first, providing education guided by leaflets and outreach media, second, conducting questions and answers and asking for participants' complaints, third, problem solving from community service partner participants. The results of this activity still found mothers with problems related to the postpartum period, one of which was a lack of knowledge. In conclusion, this activity must continue to be carried out to help all mothers know and understand more about the postpartum period. Keywords: Postpartum Period, Postpartum Changes, Perineal Care