bluuebunny/crossref_metadata_2025 huggingface dataset:
ОРГАНІЗАЦІЯ НАВЧАННЯ ЩОДО ВОЛОДІННЯ МАТЕРІАЛОЗБЕРІГАЮЧИМИ ТЕХНОЛОГІЯМИ У ПРОФІЛЬНИХ КЛАСАХ
Authors: Трегуб О. Д. , Конарєв О. П.
Published: January 2025

У статті досліджується важливість інженерії, дизайну та використання відновлюваних джерел енергії у сфері розвитку та впровадження матеріалозберігаючих технологій.
Звертається увага на необхідність інтердисциплінарного підходу до навчання, для того щоб підготувати учнів до викликів сучасного технологічного світу. Розглядаються практичні методи навчання, включаючи комп’ютерне моделювання та використання 3D-друку для створення продуктів з використанням відновлюваних матеріалів. Зазначається, що такі підходи сприяють підготовці учнів до викликів сучасного технологічного світу та формуванню їхніх навичок у сфері розвитку.
Вказано, що використання відновлюваних джерел енергії у сфері матеріалозберігаючих технологій в профільних класах є надзвичайно перспективним у багатьох аспектах. Вивчаючи методи переробки вторинної сировини за допомогою комп’ютерного моделювання, учні можуть аналізувати різні параметри процесів переробки, такі як температура, тиск та склад сировини, щоб знайти оптимальні умови використання відновлюваних джерел енергії та зниження її витрат.
Стаття відображає такий підхід до навчання, який спрямований на формування комплексного розуміння проблем сучасної індустрії та розвитку креативного мислення учнів. Навчання в профільних класах з використанням відновлюваних джерел енергії та матеріалозберігаючих технологій не лише підготовлює молоде покоління до викликів сучасного технологічного світу, але й сприяє сталому розвитку суспільства. Такий підхід вимагає спільних зусиль вчителів, науковців та інженерів для створення інноваційних навчальних програм, що дозволяють студентам активно впроваджувати нові ідеї та технології в реальний сектор економіки. Зазначається, що впровадження таких методів дозволяє ефективно використовувати ресурси та зменшує вплив на довкілля.
AI and UI Development: A Case Study of Mobile Application X
Authors: Nikitashin Maksim
Published: January 2025

Artificial intelligence nowadays has become the most popular trend in all professional spheres including information solutions development. Its utilization brings a number of benefits and opportunities. However, in the area there are still a lot of concerns about it, especially among business and management related employees. For this reason, it is important to structurally outstand previously mentioned potential benefits and improvements and the best way to do it is case studies. The paper represents such kind study for a mobile application user interface renovation. First it includes an overview of thematic related sources. Then the case itself is described and analyzed. By the end the promising results and improvements achieved are presented.
Fast particles and metal vapors from electrodes with small radii of curvature during nanosecond discharges in gases
Authors: Tarasenko V.F. , Beloplotov D.V. , Sorokin D.A. , Panchenko A.N.
Published: January 2025

In gaps with a non-uniform electric field, the high electric fields (>1 MV/cm) are achieved with a short volt- age pulse front, which are enhanced by the accumulation of positive ions at the cathode and the formation of plasma. Based on the known experimental and theoretical studies of vacuum discharge, we hypothesized that the mechanism of destructive mechanical stresses in the surface layer of electrodes should also take place during nanosecond breakdown in gases. In this paper, the radiation of diffuse discharge plasma formed be- tween two electrodes with a small radius of curvature was investigated when the discharge gaps were filled with air, nitrogen, argon, and helium at atmospheric pressure. With a nanosecond voltage pulse duration and energy inputs into the gas of <1 mJ/cm3, the tracks of particles emitted from bright spots on the electrodes, including those at a right angle to their surface, were recorded. It is shown that the length of the tracks de- pends on the polarity of the electrode and that at low energy inputs in the air the tracks end with a brighter glow region. It is established that the greatest radiation intensity during discharges in four different gases (air, nitrogen, argon and helium) are found in tracks that are formed in the air. From this result, as well as from the recorded duration of track glow pulses in hundreds of microseconds, it follows that the increase in the bright- ness of the radiation of the ends of the tracks during propagation in the air is determined by the heating of the electrode material during the interaction of the emitted particles with oxygen.
Optical characteristics of tungsten trioxide luminescence in different matrices
Authors: Lisitsyna L.A. , Alpyssova G.K. , Mussakhanov D.A.
Published: January 2025

The comparative research using time-resolved spectroscopy of the optical characteristics of an emission in two types phosphors: natural phosphors: ZnWO4, CdWO4, microcrystalline WO3, and artificial once: wide band gap dielectrics LiF, MgF2и BaF2 doped with tungsten trioxide were presented. Both single crystals and сeramic samples obtained in the process of high-speed radiation synthesis in air under a flux of 1.5 MeV elec- trons were studied. It has been established that the spectral-kinetic characteristics of the studied materials lu- minescence are the similarity in dielectrics, where WO3 is present as a dopant; in semiconductors (MeWO4), where tungsten trioxide is present as WO62‒ oxyanion and in crystal lattice of tungsten trioxide binary com- ponent. It is found that tungsten trioxide, being doped in dielectric, forms a subband of impurity states in the dielectric band gap, due to which, of spatial separation of electron-hole impurity pairs becomes possible upon optical excitation of the dielectric.
Hydrogen from Methane: Application of Microwave Discharge and Catalyst
Authors: Skakov M.K. , Miniyazov A.Zh. , Sokolov I.A. , Agatanova A.A. , Tulenbergenov T.R. , Gradoboev A.V.
Published: January 2025

This paper presents the results of experiments to produce hydrogen using methane pyrolysis with microwave (MW) discharge and steel catalyst in an applied research installation PM-6. The experiments were conducted to determine the fullest extent of methane decomposition in microwave discharge in the PM-6 installation us- ing steel catalyst with varied nickel content. The results showed that the use of nickel catalysts provides the highest hydrogen yield under optimal conditions. Hydrogen production technology was implemented using catalyst in MW discharge with the maximum rate of methane conversion up to 32±2 % and hydrogen selec- tivity up to 85±1 % at MW discharge of 0.6 kW, methane flow rate of 0.25±0.05 l/min and argon 8.0±0.2 l/min. Overall, the results of the study highlight the importance of choosing catalysts to achieve op- timal conditions for methane pyrolysis and create efficient technologies for hydrogen production. The data obtained from the experiments could be useful for the development of industrial pyrolysis plants, which will contribute to a more sustainable energy future and a reduced carbon footprint.
Synthesis of oxide ceramics in a beam of fast electrons
Authors: Ghyngazov S.A. , Boltueva V.A. , Vasil’ev I.P.
Published: January 2025

The development of technology for obtaining high-entropy ceramic materials opens up new possibilities for obtaining new heat-shielding materials. In this work, such a material is synthesized using aluminum-yttrium garnet. The effect of rapid synthesis of high-entropy ceramics within a few seconds was achieved by using an unconventional method of heating the initial mixture of powder reagents with a powerful beam of high- energy electrons. The initial mixture of Y2O3, Yb2O3, Lu2O3, Eu2O3, Er2O3, Al2O3 oxides in a stoichiometric ratio was subjected to a short-term action of a powerful beam of fast electrons under atmospheric conditions. During the radiation exposure, the powder mixture underwent melting, which led to the synthesis of high- entropy ceramics (Y0.2Yb0.2Lu0.2Eu0.2Er0.2)3Al5O12. It was found that the melt has the form of drops with a large number of pores. The efficiency of mixture melting depends mainly on the irradiation modes and to a lesser extent on the modes of preliminary mechanical treatment of the mixture. A necessary condition for syn- thesis is melting of the powder mixture.
Desempenho de bovinos de corte alimentados com Biosacch TR Concentrado
Authors: Factori Marco Aurélio , Corrêa Wagner , Halak Fauzi Elias , Fava Gabriel Silva
Published: January 2025

The use of probiotics as feed additives is an important tool in improving animal performance by increasing the growth of rumen bacteria and improving animal conversion. To this end, an experiment was carried out in Rancharia, São Paulo, in beef cattle and pasture production systems using Braquiária brizantha cv. Marandu, with the use of paddocks and supplementation. The objective of this work was to evaluate the effect on weight gain and fecal score when using Biosacch TR Concentrado for beef cattle. The experiment took place between June 2024 and September 2024. 20 Nellore and Angus animals were used for the experiment. The animals remained divided into two production batches, with a weight range of 500 kg + 10 kg. in each batch, 10 animals were used, equal in weight and blood levels, where they received concentrate (1.3% of live weight), pasture, mineral salt and water ad libitum. The animals were individually weighed on a digital scale to measure their initial and final live weights, as well as weight gains at 12 (measuring the animals' adaptation to the supplement), 34, 45 and 60 days. In pasture, upon weighing, at 0, 12, 34, and 60 days, the animals' feces were checked. No differences in behavior and fecal score were observed, with or without the use of the probiotic in pasture. The animals that ingested the product, from the 45th day onwards, differ in terms of live weight and individual daily weight gains throughout the final supply period, yielding average live weight values with average differences of 23 kg after 45 days, and average daily gains with a difference of 700 grams for the 45th day, and up to 4 kg on average for the 60th day, with the use of the product when compared to without the product. The use of Biosacch TR Concentrado improved the weight gain and final weight of the animals.
UNDERSTANDING BY DESIGN: MENGGUNAKAN SEBAGAI KURIKULUM ALUR MUNDUR UNTUK PEMBELAJARAN MATEMATIKA DI INDONESIA
Authors: Septyani Anjelia , Fauziah Anna
Published: January 2025

This study aims to look at the the concept and application of understanding by design as a backward design curriculum for mathematics learning in Indonesia. The articles used as the core review source for this research were 5 articles that had a reputation of SINTA standards. From the results of the review, it was found the understanding, role and steps of UbD as an integral part of learning in Indonesia today. In mathematics learning, which is often a problem for students, the problem can be overcome by creating effective and interesting learning through learning with the UbD framework. Of course, the teacher's role as designer and facilitator has had a big influence, even though UbD is given the freedom to determine the direction of the material, this does not mean that the teacher underestimates the characteristics of students as well as their learning styles and interests. The conclusion of this research is to show the main focus in the understanding by design approach, namely emphasizing the desired results (learning objectives).
Kepraktisan Bahan Ajar Mata Kuliah Bahasa dan Sastra Daerah Berbasis Literasi Digital Bagi Mahasiswa Universitas PGRI Silampari
Authors: Satinem Satinem , Juwati Juwati , Angelina Widya , Gabriella Maria
Published: January 2025

Tujuan penelitian ini yaitu untuk mendeskripsikan uji kepraktisan bahan ajar hasil pengembangan. Metode penelitian yang digunakan adalah metode deskriptif kualitatif  yang merupakan bagian dari penelitian pengembangan dengan desain model pengembangan Dick and Carey. Dengan demikian artikel ini khusus membahas bagian implementasi sebagai lanjutan dari tahap pengembangan yaitu uji kepraktisan bahan ajar. Uji kepraktisan bahan ajar dilakukan dengan menggunakan angket kepraktisan bahan ajar yang ditinjau dari tiga aspek yaitu kemudahan penggunaan, kemenarikan sajian, dan kebermanfaatan bagi pengguna. Subjek penelitian adalah mahasiswa semester III Prodi Pendidikan Bahasa dan Sastra Indonesia yang mengambil konsentrasi mata kuliah bahasa dan sastra daerah. Hasil dan pembahasan menunjukan bahwa dari hasil rekapitulasi pada saat uji kepraktisan dari uji one to one didapat hasil berjumlah 82,66% masuk kategori sangat praktis. Sementara uji small group didapat 84,57% masuk kategori sangat praktis. Dengan demikian bahan ajar hasil pengembangan sangat praktis digunakan oleh mahasiswa dan dosen mata kuliah bahasa dan sastra daerah.
Kurikulum Merdeka Terhadap Perubahan Karakter Peserta Didik: Studi Analisis Dikelas IV SD Negeri 1 Air Satan Kabupaten Musi Rawas
Authors: Okta Nellayuni Verdani , Febrian Aldi Ayang , Permata Sari Dwi Alia , Herawati Emi , Samitra Dian
Published: January 2025

Penelitian ini bertujuan untuk menganalisis implementasi Kurikulum Merdeka dan dampaknya terhadap perubahan karakter siswa di SD Negeri 1 Air Satan, Kabupaten Musi Rawas. Penelitian ini menggunakan metode deskriptif kualitatif dengan teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa Kurikulum Merdeka memberikan dampak positif terhadap pembentukan karakter siswa, seperti meningkatnya kemandirian, tanggung jawab, rasa percaya diri, dan kemampuan berpikir kritis. Siswa menjadi lebih aktif dalam pembelajaran berbasis proyek yang memfasilitasi kolaborasi dan kreativitas.Beberapa tantangan yang diidentifikasi adalah keterbatasan sumber daya pendukung pembelajaran dan kurangnya keterlibatan orang tua dalam mendukung proyek siswa. Temuan ini mendukung teori konstruktivisme dan pembelajaran berbasis proyek yang berpusat pada siswa, dengan guru bertindak sebagai fasilitator. Implementasi Kurikulum Merdeka dapat diperkuat melalui peningkatan pelatihan guru, penyediaan fasilitas pendukung, serta kolaborasi yang lebih intensif dengan orang tua.
Imperialist Consequences and Contemporary Crisis: A Comparative Analysis of Human Trafficking in Ukraine and Canada
Authors: Rhodes Alyssa , Buchkovska Dariia , Havhun Diana , Mamo Natalie
Published: January 2025

Human trafficking is a highly intersectional problem as the victim pool, perpetration, and assumptions regarding these dynamics are largely intertwined with positions of power, race, gender, and other social factors. This paper will focus on power in the form of imperialism as a critical extenuating factor for trafficking. Imperialism is the aggressive enforcement of one nation onto another, which can include colonialism, systemic oppression of minorities, and increased victimization of those not part of an imperialistic force. This paper compares Canadian and Ukrainian students' perceptions of the hypothesized relationship between imperialism and human trafficking, specifically within these countries. By elucidating how power disparities aid in recruiting, transporting, and transferring individuals for exploitation translates to a better assessment of how to educate and prevent future trafficking cases. Interviews with research participants supplemented the literature, creating a consensus linking colonial/imperialistic forces and the heightened risk Indigenous populations face within Canada. Similarly, research underscored how the current war in Ukraine, a contemporary example of imperialistic invasion, has translated into an increase in human trafficking cases. These findings substantiate the correlation between imperialism and human trafficking. This connection should be further exhausted with a larger sample size to further illuminate human trafficking crime trends and the bias that denies justice to specific populations.
SISTEM INFORMASI PENDAFTARAN, TES SISWA MASUK DAN PENERIMAAN PESERTA DIDIK BARU BERBASIS WEB PADA TK MEKAR SARI DESA AMBAWANG
Authors: Meliana Meliana , Muin Agus Alim , Setiadi Budi
Published: January 2025

Perkembangan teknologi pada masa sekarang ini, sudah sangat cepat dan maju. Salah satunya dapat diterapkan untuk mendukung adanya sistem informasi pendaftaran, tes siswa masuk dan penerimaan  pada TK Mekar sari yaitu membahas tentang proses pendaftaran, tes siswa masuk dan penerimaan murid baru. Sistem ini menampilkan syarat  pendaftaran murid baru, agenda kegiatan, profil sekolah, struktur organisasi dan lain-lain pada level free user.  Permasalahan yang ada yaitu pada proses penerimaan didik baru saat ini masih konvensional (manual), karena calon wali didik harus datang ke sekolah untuk melihat jadwal pendaftaran dan registrasi pendaftaran. Calon wali didik datang ke sekolah untuk meminta formulir registrasi pendaftaran ke panitia. Sehingga dapat memakan waktu banyak dalam proses pendaftaran, tes siswa masuk dan penerimaan setiap tahunnya. Berdasarkan permasalahan tersebut, diperlukan sistem yaitu “Sistem Informasi Pendaftaran, Tes Siswa Masuk Dan Penerimaan Peserta Didik Baru Berbasis Web Pada Tk Mekar Sari Desa Ambawang”.Sistem yang dibangun menggunakan bahasa pemrograman php dengan framework native. Sedangkan pembangunan database menggunakan MySQL yang berfungsi untuk server database. Rancangan desain tampilan antarmuka yang penulis bangun dibuat menggunakan app.moqups.com dan lucid.app. Serta rancangan database menggunakan Entity Relationship Diagram, Data Flow Diagram dan Flowchart. Sistem ini diharapkan dapat mempermudah Admin dan calon pendaftar pada proses pendaftaran, tes siswa masuk, penerimaan dan pendataan Administrasi agar lebih mudah, cepat dan efisien baik dalam hal waktu, tempat, biaya maupun tenaga pada Taman Kanak-Kanak (TK) Mekar Sari di Desa Ambawang.
Narrative Review: Penerapan Internet of Things dalam Monitoring Kesehatan Pasien Jarak jauh
Authors: Nadirah Siti Firda
Published: January 2025

Seiring dengan berkembangnya kemajuan zaman, kecanggihan teknologi turut serta dalam kemajuannya. Menjalani era revolusi industri 4.0 ini tentu tidak jauh dari penggunaan kecanggihan teknologi dalam keseharian untuk memudahkan aktivitas dan meningkatkan kualitas manusia, yang salah satunya merupakan penggunaan Internet of Things (IOT) dalam berbagai aspek kehidupan sebagaimana yang dilakukan dalam sektor bidang kesehatan. IOT adalah suatu rancangan instrumen komunikasi yang menghubungkan perangkat berbasis internet, di mana komponen-komponen pembentuk IOT yang digunakan dalam pemonitoran kesehatan jarak jauh adalah sensor, microcontroller, jaringan, dan cloud. Adapun penerapan IOT dalam memonitori kesehatan dan kondisi tubuh pasien dari jarak jauh dapat ditinjau dengan pengukuran detak jantung, suhu tubuh, dan tekanan darah secara akurat juga real time melalui online yang dapat diakses dengan ponsel pintar. Studi ini menggunakan Narrative Review (NR) agar mampu mengidentifikasi masalah yang memuat ringkasan dari jurnal-jurnal sebelumnya berkonsep penerapan IOT dalam monitoring jarak jauh pada kesehatan pasien, untuk meningkatkan dan memajukan kualitas layanan kesehatan yang ada di Indonesia.
Pendekatan K-Means Clustering untuk Evaluasi Kinerja Mahasiswa dalam Sistem Project-Based Learning Berdasarkan Motivasi dan Kemampuan Pemecahan Masalah
Authors: Permatasari Intan , Hakim Bela Pitria , Achmad Fandi
Published: January 2025

Prestasi akademik mahasiswa merupakan indikator utama dalam mengevaluasi efektivitas pendidikan tinggi. Namun, pencapaian prestasi mahasiswa yang optimal menghadapi berbagai tantangan, khususnya dalam mata kuliah Manajemen Proyek yang menggunakan pendekatan Pembelajaran Berbasis Proyek (PjBL). Berdasarkan pengamatan, mahasiswa seringkali kesulitan memenuhi standar akademik karena faktor internal dan eksternal, terutama yang terkait dengan motivasi dan keterampilan memecahkan masalah. Oleh karena itu, penelitian ini bertujuan untuk memetakan kinerja mahasiswa dengan menilai prestasi mahasiswa dan mengkaji peran motivasi, kemampuan pemecahan masalah dalam konteks PjBL pada mata kuliah Manajemen Proyek di Telkom University. Penelitian menggunakan K-Means clustering untuk mengelompokkan kinerja mahasiswa berdasarkan tingkat motivasi dan kemampuan pemecahan masalah, yang memberikan analisis komprehensif tentang dampak faktor-faktor tersebut terhadap prestasi akademik. Hasilnya menunjukkan terdapat 4 cluster dalam pola kinerja yang berbeda di antara kelompok, yang menyoroti pentingnya motivasi dan pemecahan masalah dalam keterlibatan mahasiswa dan penyelesaian proyek yang berhasil. Mahasiswa yang tergolong dalam cluster 1 menunjukkan kinerja akademik tertinggi, sedangkan mahasiswa dalam cluster 3 menunjukkan kinerja terendah. Temuan penelitian ini menawarkan wawasan berharga bagi para pendidik dan lembaga untuk mengembangkan strategi yang tepat sasaran yang meningkatkan motivasi dan kemampuan memecahkan masalah pada mahasiswa.
Analisis Sistem Informasi Audit Mutu Internal (SIAMI) Berbasis Audit Dukumen Dan Audit Kepatuhan
Authors: Andie Andie , Sanjaya Hendra
Published: January 2025

Menurut UU Nomor 12 Tahun 2012, Penjaminan Mutu PT merupakan kegiatan sistemik untuk meningkatkan mutu pendidikan tinggi secara berencana dan berkelanjutan. Penjaminan mutu sebagaimana dimaksud pada ayat (1) dilakukan melalui penetapan, pelaksanaan, evaluasi, pengendalian, dan peningkatan standar pendidikan tinggi. Evaluasi sebagaimana dimaksud dalam ayat (1) huruf c dilakukan melalui Audit Mutu Internal. Audit Mutu Internal adalah proses pengujian yang sistematik, mandiri, dan terdokumentasi untuk memastikan pelaksanaan kegiatan di PT sesuai prosedur dan hasilnya telah sesuai dengan standar untuk mencapai tujuan institusi. AMI bukanlah asesmen/penilaian melainkan pencocokan kesesuaian antara pelaksanaan dengan perencanaan suatu kegiatan/. Di Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin sekarang ini telah memasuki siklus ke-7 tahun 2023. Pada pelaksanaan kali ini sudah menerapkan metode Audit Dokumen dan Audit Kecukupan. Pada siklus-siklus sebelumnya hanya menerapkan Audit Kecukupan dimana hanya membuat penilaian dalam bentuk temuan Mayor, Minor dan Observasi. Akan tetapi sekarang akan diterapkan Audit Dokumen yang nantinya juga akan dikembangkan sebagai proses simulai Akreditasi PT. Untuk memperlancar proses pencatatan Audit dan Pendokumentasian, maka dibuatlah Sistem Informasi Audit Mutu Internal atau disingkat SIAMI yang sudah menerapkan metode Audit Dokumen dan Audit Kecukupan. Diakhir proses juga akan dibuat hasil kepuasan penggunaan aplikasi baik dari Auditor, Auditee, UPPS maupun Administrator.
SISTEM IOT BERBASIS ARDUINO CLOUD UNTUK MONITORING DAN KONTROL LAHAN PERTANIAN CABAI
Authors: Christian Efrans , Geges Septian , Putra Putu Bagus Adidyana Anugrah , Alyura Ripaldo
Published: January 2025

Sistem monitoring pada tanaman cabai meruapakan solusi yang inovatif untuk membantu petani dalam meningkatkan efisiensi pengelolaan lahan pertanian tanaman cabai. Penelitian ini mengembangkan sistem berbasis Internet of Things (IoT) untuk mendukung efisiensi pengelolaan lahan pertanian cabai. Sistem dirancang untuk memonitor dan mengontrol penyiraman, pemupukan, serta pemberian pestisida, baik secara otomatis berdasarkan jadwal maupun manual dari jarak jauh. NodeMCU ESP8266 sebagai mikrokontroler utama dan platform Arduino Cloud memungkinkan pengiriman data real-time mengenai kelembaban tanah, suhu, dan kondisi cuaca ke aplikasi yang dapat diakses petani. Sistem ini memanfaatkan sensor kelembaban tanah, suhu, aliran air, dan sensor hujan untuk pemantauan kondisi lahan. Hasil pengujian menunjukkan sistem mampu menjalankan penyiraman, pemupukan, dan pemberian pestisida sesuai jadwal dan dosis yang telah ditentukan. Sistem juga dapat dikendalikan secara manual sesuai kebutuhan. Implementasi teknologi ini diharapkan dapat membantu petani cabai meningkatkan produktivitas tanaman serta meminimalkan risiko kerusakan akibat kurangnya pemantauan secara langsung.
DIGITAL MARKETING AND INFORMATION SYSTEM IN CIRCULAR ECONOMY
Authors: Eryc Eryc , Avaleska Avaleska
Published: January 2025

Dalam era ekonomi sirkular, strategi pemasaran digital memainkan peran penting dalam mendukung transisi menuju model bisnis berkelanjutan. Penelitian ini bertujuan untuk mengeksplorasi peran digital marketing dalam meningkatkan kesadaran konsumen terhadap prinsip-prinsip ekonomi sirkular serta mendorong adopsi produk dan layanan yang ramah lingkungan. Penelitian ini menggunakan pendekatan SLR, dengan analisis data kualitatif melalui wawancara mendalam dengan pelaku bisnis berbasis ekonomi sirkular, dan analisis kuantitatif menggunakan survei terhadap konsumen digital. Hasil penelitian menunjukkan bahwa platform digital seperti media sosial dan e-commerce memiliki potensi besar dalam mendukung ekonomi sirkular melalui edukasi konsumen, promosi produk berkelanjutan, dan penguatan komunitas yang peduli lingkungan. Strategi konten yang interaktif, transparansi informasi produk, serta penggunaan data untuk personalisasi kampanye pemasaran terbukti efektif dalam membangun kesadaran dan loyalitas konsumen terhadap ekonomi sirkular. Kesimpulan dari penelitian ini menegaskan bahwa digital marketing bukan hanya alat promosi, tetapi juga katalis untuk transformasi perilaku konsumen dan bisnis menuju keberlanjutan. Studi ini memberikan kontribusi teoretis dan praktis bagi pengembangan strategi pemasaran berbasis digital dalam mendukung agenda ekonomi sirkular.
Design and Implementation of Voltage Source Inverter Using Sinusoidal Pulse Width Modulation Technique to Drive A Single-Phase Induction Motor
Authors: Shneen Salam Waley , Abdullah Zainab B. , Dakheel Hashmia S.
Published: January 2025

A study is underway under the title, Design and implementation of voltage source inverter using sinusoidal pulse width modulation technique to drive a single-phase induction motor. The objectives of the study can be achieved by building a simulation model for a single-phase full-wave inverter consisting of four IGBT transistors. The inverter converts a direct voltage of 220 volts from the power source connected to the inverter input to an alternating voltage of 220 volts RMS. A 10-ohm resistive load is fed to the inverter output. In the first test, a square wave is generated as a result of operating the inverter in the first mode, as a result of activating two electronic switches that give the value of the voltage wave to the load, while the second mode gives the negative voltage with an interval of ten milliseconds for each mode, i.e., at a frequency of 50 Hz for twenty milliseconds for the square wave generated at the inverter output. The other model uses sinusoidal pulse width modulation technique to remove harmonics and control the inverter output by opening and closing electronic switches, which leads to removing some harmonics. The third model depends on adding a filter to obtain the basic wave and get rid of the rest of the harmonics, which results in generating a sine wave. After obtaining an inverter model that converts 220 volts direct voltage to 220 volts alternating voltage RMS as a first stage, the second stage is to feed a single-phase induction motor and operate it under test conditions that include a no-load condition, i.e., zero torque, a constant load condition, i.e., 1 Newton-meter torque, and finally a variable load condition, which is similar to many applications such as a fan, pump, etc. From the simulation results, we can say that the system is effective in operating the induction motor at the specified speed (1430 rpm) after providing the specified electrical quantities, a frequency of 50 Hz, and a voltage of 220 volts alternating voltage RMS.
Lightning Risk Assessment, Control and Protection Scheme Design for a Rooftop Photovoltaic System in the New Capital of Egypt
Authors: Omar Ahmed I. , Abd-Allah M. A. , Shokry Ahmed , Said Abdelrahman
Published: January 2025

The absence of an effective lightning protection system for photovoltaic (PV) systems can hinder their integration into networks. Outdoor PV installations are vulnerable to direct or indirect lightning strikes, resulting in damaging overvoltages that harm the PV structure. These systems, often situated on rooftops or open fields, face increased lightning strike risks due to their exposure compared to more sheltered setups. Lightning-induced surges can harm sensitive electrical components like panels, inverters, and wiring, leading to potential damage and downtime. The complexity of PV systems, with interconnected components, makes designing protection strategies challenging. Compliance with lightning protection standards is crucial to prevent damage, downtime, and financial losses. Implementing effective protection measures involves grounding, surge protection, and adherence to regulations. Lightning protection systems intercept strikes and safely direct electrical energy to the ground, safeguarding sensitive components and ensuring continuous power generation. The IEC 62305-2 standard guides lightning risk assessment and mitigation, aiding in evaluating risks, calculating damage likelihood, and designing protective measures. A case study focusing on the Arab African International Bank's rooftop PV system in Egypt illustrates the importance of lightning risk management in financial, operational, and regulatory contexts for solar projects. Risk assessment aims to identify vulnerabilities, implement mitigation strategies, and ensure safe, reliable system operation. By addressing lightning risks effectively, stakeholders can enhance system safety, reliability, and longevity while minimizing downtime and revenue loss associated with lightning strikes.
Fuzzy Control for Spacecraft Orbit Transfer with Gain Perturbations and Input Constraint
Authors: Nemmour Sarah , Daaou Bachir , Okello Francis
Published: January 2025

This paper presents the problem of fuzzy guaranteed cost tracking control for spacecraft orbit transfer with parameter uncertainties and additive controller gain perturbations and subject to input constraints, and guaranteed cost function. The goal is to perform a planar orbit transfer in a circular orbit, focusing on minimizing fuel usage while accounting for uncertainties in both the plant and controller. Spacecraft dynamics is based on the Keplerian two-body problem using polar coordinates, which allows long-distance maneuvers in circular orbit when the well-known Clohessy-Wiltshire (C-W) equation is restricted by limited-distance maneuvers. To approximate the nonlinearities in the dynamical equation of motion, a Takagi-Sugeno (T-S) fuzzy model is proposed and a linearized model is established for the output tracking problem of the orbit transfer process. Issue related to the absence of a single equilibrium point in the nonlinear system, a gain-scheduling technique based on multiple operating points is employed to develop the (T-S) fuzzy model through the fuzzy approach. Based on the parallel distributed compensation (PDC) approach, sufficient conditions for a fuzzy non-fragile guaranteed cost control are derived. Using the Lyapunov theory, the controller objectives are formulated through linear matrix inequality (LMIs) which allows the system to be transferred into a convex optimization problem. The designed controller effectively accomplishes the orbit transfer process with minimal fuel consumption and maintains the performance level below a specified upper bound. Numerical simulations are conducted to demonstrate the effectiveness of the proposed method.
Synergetic Control-Based Sea Lion Optimization Approach for Position Tracking Control of Ball and Beam System
Authors: Al-Khazraji Huthaifa , Albadri Kareem , Almajeez Rawaa , Humaidi Amjad J
Published: January 2025

One of the most difficult systems to control is the ball and beam (BnB) system due to its under-actuation, instability, and nonlinearity. To address these challenges, this paper presents an application of using the nonlinear synergetic control (SC) algorithm for position tracking control of the BnB system. A swarm optimization method based on sea lion optimization (SLO) has also been used to achieve an optimum dynamic performance by adjusting the suggested controller’s parameter. The Integral Time of Absolute Errors (ITAE) is employed by the SLO as an objective function to adjust the design parameters of the suggested SC. Using MATLAB software, a comparison has been made between the SC controller and the classical state feedback controller (SFC) to test the effectiveness of the suggested control algorithm. The findings illustrate that the suggested SC offers better transient response in terms of reducing the settling time and the overshoot than SFC. The effect of the external disturbance has also been examined. It has been found that SC provides more robustness performance than SFC.
Development of a Sensor-Based Glove-Controlled Mobile Robot for Firefighting and Rescue Operations
Authors: Sneineh Anees Abu , Salah Wael A.
Published: January 2025

Robots are important in preventing hazards. This paper presents the construction and testing of a mobile robot equipped with a sensor-based glove for firefighting and rescue operations. The main idea is based on the ability to control the mobile robot through the movement of a gloved hand. The glove circuit is connected to the robot circuit through Bluetooth. The MPU6050 gyroscope sensor detects the movement of a gloved hand and sends the direction of the hand’s inclination to the microcontroller, which in turn uses this information to direct the mobile robot’ movement in the desired direction. Experiments were conducted to test the mobile robot and its control system. Results showed that the robot prototype works effectively with satisfactory response to the intended direction of robot movement. An increase in safety level and a reduction in firefighting risks were also observed. The proposed robot can assist effectively in rescue operations, creating opportunities for future improvements.
Dynamic Assessment and Control of a Dual Star Induction Machine State Dedicated to an Electric Vehicle Under Short-Circuit Defect
Authors: Benbouya Basma , Cheghib Hocine , Behim Meriem , Mahmoud Mohamed Metwally , Elnaggar Mohamed F. , Ibrahim Nagwa F. , Anwer Noha
Published: January 2025

The widespread use of electric vehicles (EVs) in several industries gives rise to many significant safety and reliability-related issues. Thus, there is a need for methods for identifying flaws in EV components. In this paper, a state assessment of a dual star induction machine (DSIM) under short-circuit faults is investigated. The DSIM is selected due to its widespread use in high-power applications and its numerous advantages over other conventional machine types. Our focus is particularly on its application in the automotive industry, where its dual stator windings ensure reliable and robust parallel operation, thereby enhancing its robustness and efficiency. To improve this technology and ensure its proper functioning following potential failures and during maintenance, appropriate diagnostic and monitoring methods are essential. Our methodology combines two techniques: the current space vector (CSV), utilized to prevent information loss, and the wavelet packet decomposition energy, calculated from the resulting CSV signals. This approach enables the detection of various stator short-circuit faults, presenting different severities and occurring at different locations. The outcomes of this study, which were verified through the use of a Simulink model of a DSIM devoted to an EV, showcase the efficacy of the suggested approach. Furthermore, this work underscores the significance of this approach in maintaining the performance and reliability of DSIM, particularly in demanding environments such as the automotive industry.
Analyzing the Flow of Injection Molding for Water Filter Handle: Filling, Packing, and Warpage
Authors: Achor Zineb , Zahraoui Yassine , Tayane Souad , Ennaji Mohamed , Gaber Jaafar
Published: January 2025

Injection molding is a crucial manufacturing technology for producing complex, high-quality parts at scale, making it essential in various industries, including consumer electronics and automotive sectors. However, a lack of understanding about how injection parameters impact common defects like sink marks, short shots, and warpage often limits the widespread adoption of injection molding. This research aims to bridge this gap by providing a comprehensive digital simulation of the injection molding process within a complex mold cavity. Utilizing Moldex3D and the Finite Volume Method (FVM), this study characterizes essential material properties–viscosity, specific heat, density, and thermal conductivity–and examines the effects of gate location and part design on minimizing weld lines and warpage. The FVM involves dividing the computational domain into a finite number of small control volumes. This method is particularly well-suited for handling complex geometries and flow conditions, facilitating detailed and accurate simulations. This study employs Moldex3D, a leading simulation software in the field of injection molding, to demonstrate the use of CAE for design verification and process innovation. Moldex3D’s advanced capabilities make it an ideal tool for simulating injection molding processes, helping improve the quality of parts and contributing to the overall advancement of molding skills in the industry. The simulations revealed optimal gate locations that significantly improved filling patterns, reduced warpage by 50%, and minimized weld lines, thereby enhancing overall part quality. Key contributions of this research include the identification of critical flow characteristics, the reduction of defect-prone regions, and the enhancement of plastic component rigidity. This study provides valuable insights into optimizing injection molding processes, offering a pathway to improved efficiency and part quality in advanced manufacturing.
A Systematic Review of the Use of Technology in Educational Assessment Practices: Lesson Learned and Direction for Future Studies
Authors: Retnawati Heri , Kardanova Elena , Sumaryanto Sumaryanto , Prasojo Lantip Diat , Jailani Jailani , Arliani Elly , Hidayati Kana , Susanti Mathilda , Lestari Himmawati Puji , Apino Ezi , Rafi Ibnu , Rosyada Munaya Nikma , Tuanaya Rugaya , Dewanti Septinda Rima , Sotlikova Rimajon , Kassymova Gulzhaina Kuralbayevna
Published: January 2025

Previous studies have demonstrated that technology helps achieve learning outcomes. However, many studies focus on just one aspect of technology’s role in educational assessment practices, leaving a gap in studies that examine how various aspects affect the use of technology in assessments. Hence, through a systematic work, we analyzed the extent and manner in which technology is integrated into educational assessments and how education level, domain of learning, and region may affect the use of technology. We reviewed empirical studies from two major databases (i.e., Scopus and ERIC) and a national journal whose focus and scope are on educational measurement and assessment, following PRISMA guidelines for systematic reviews. The findings of the present study are directed towards emphasizing the roles of technology in educational assessment practices and how these roles are adapted to varying educational contexts such as the level of education, the three domains of learning (i.e., cognitive, psychomotor, and affective), and the setting in which the assessment was conducted. These findings not only highlight the current roles of technology in educational assessment but also provide a roadmap for future research aimed at optimizing the integration of technology across diverse educational contexts.
A Review of Deep Learning-Based Defect Detection and Panel Localization for Photovoltaic Panel Surveillance System
Authors: Mohamed Ameerdin Muhammad Irshat , Jamaluddin Muhammad Herman , Shukor Ahmad Zaki , Mohamad Syazwani
Published: January 2025

As the photovoltaic (PV) systems expands globally, robust defect detection and precise localization technologies becomes crucial to ensure their operational efficiency. This review introduces an integrated deep learning framework that leverages Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and You Only Look Once (YOLO) algorithms to enhance defect detection in solar panels. By integrating these technologies with Global Positioning System (GPS) and Real-Time Kinematic (RTK) GPS, the framework achieves unprecedented accuracy in defect localization, facilitating efficient maintenance and monitoring of expansive solar farms. Specifically, CNNs are employed for their superior feature detection capabilities in identifying defects such as microcracks and delamination. RNNs enhance the framework by analyzing time-series data from panel sensors, predicting potential failure points before they manifest. YOLO algorithms are utilized for their real-time detection capabilities, allowing for immediate identification and categorization of defects during routine inspections. This review's novel contribution lies in its use of an integrated approach that combines these advanced technologies to not only detect but also accurately localize defects, significantly impacting the maintenance strategies for PV systems. The findings demonstrate an improvement in detection speed and localization accuracy, suggesting a promising direction for future research in solar panel diagnostics. The review provided aims to refine surveillance systems and improve the maintenance protocols for photovoltaic installations, ensuring longevity, durability and efficiency in energy production.
Altitude Controller Based on Artificial Neural Network Genetic Algorithm for a Quadcopter MAV
Authors: Ibarra José Ramón Meza , Ulloa Joaquın Martınez , Pacheco Luis Alfonso Moreno , Cortes Hugo Rodrıguez
Published: January 2025

Mechanical systems with high dynamic complexity often face challenges due to unmodeled uncertainties and external perturbations, making effective control difficult. Therefore, new advanced, robust, intelligent control theories have been developed through the sudden advance of computational power in recent years. In this research work, these new theories of automatic control are used, mainly based on what is currently called Artificial Intelligence (AI) algorithms, to develop a novel altitude controller based on the theory of Genetic Algorithms (GA) and Artificial Neural Networks (ANN).Theperformance of the designed controller is evaluated by employing the numerical simulation model in MATLAB SIMULINK, which was created for the commercial MAV Mambo Parrot. The developed intelligent ANN-GA controller uses the Levenberg-Marquardt optimization method and a Genetic Algorithm (GA) to improve Artificial Neural Network performance. The initial PID gains are obtained according to the GA, generating optimal values that initialize the neural network and contribute to optimal performance of the ANN training through evaluation of (Mean Square Error) MSE and (Integral Time Absolute Error) ITAE; the ANN takes then, the adequate output and signals as data from input to calculate the required combination of gains as output for MAV altitude controller. Simulation results demonstrate that the self-tunable controller improves the settling time, decreasing by 31.6% compared to the original PID controller. The certainty of the implemented controller opens new routes for automatic control strategies based on artificial intelligence algorithms for the complex nonlinear dynamics of unmanned aircraft.
Adaptive Fuzzy Logic Control of Quadrotor
Authors: Yasmine Zamoum , Karim Baiche , Razika Boushaki , Younes Benrabah
Published: January 2025

Intelligent controllers are created in this work to regulate the attitude of quadrotor UAVs (Unmanned Aerial Vehicles). Quadrotors offer a wide range of real-time applications, including surveillance, inspection, search and rescue, and lowering the human force safety risks. The kinematics of quadrotor are similar to those of an inverted pendulum. To maintain balance, they must continuously adjust orientation and thrust. External disturbances, like wind or sudden movements, can easily destabilize them, necessitating sophisticated control algorithms for stable flight and precise maneuverability. This instability poses a significant challenge in designing and operating quadrotors, especially in dynamic environments where real-time adjustments are crucial for maintaining control. To avoid any form of damage, a mathematical model should be constructed first, followed by the implementation of various control systems. A thorough simulation model for a Quadrotor is presented in this project. The quadrotor is a six degrees of freedom object, it has six variables to express its position in space where (x, y and z) represent the distance of quadrotor from an earth fixed inertial form to its center of mass, main movements of roll, pitch, yaw are the Euler angles representing the orientation of the quadrotor at each axis. The proposed control techniques are applied separately: PID Controller, Fuzzy Logic PID Controller and Adaptive Fuzzy Logic PID Controller. The purpose of this work is to asses these control techniques for the motions of a Quadrotor in terms of better performance, tracking error reduction, and stability. MATLAB software is used for modeling, control, and simulation. According to the obtained results, the PID controller provided the best settling time. In addition, when we applied fuzzy logic PID control to adjust the pitch angle, the system experienced overshoot; however, with Adaptive Fuzzy Logic PID controller, the system provided the best performance according to the desired criteria.
NMPC Based-Trajectory Tracking and Obstacle Avoidance for Mobile Robots
Authors: Qasim Mohammed Salim , Ayoub Abdurahman Basil , Abdulla Abdulla Ibrahim
Published: January 2025

This paper presents the design of a Nonlinear Model Predictive Controller (NMPC) for a wheeled Omnidirectional Mobile Robot (OMR) in order to track a desired trajectory in the presence of previously unknown static and dynamic obstacles in the environment around the robot. A laser rangefinder sensor is used to detect the obstacles where each obstacle occupies numerous points of every sensor reading. The points that belong to each obstacle are then clustered together using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. This research introduces a novel approach to represent obstacles as multiple rotated ellipses, enabling a more accurate representation of complex obstacle shapes without overestimating their boundaries, thereby allowing the robot to navigate through narrow passages. CoppeliaSim robotic simulator is utilized to create the virtual simulation environment as well as simulate the OMR dynamics. MATLAB with the help of the CasADi toolbox is used for the process of the laser rangefinder readings and the implementation of NMPC, respectively.  To validate the effectiveness and robustness of the proposed approach, three simulation scenarios are conducted, each involving distinct trajectories and varying densities of static and/or dynamic obstacles. The proposed control architecture exhibits remarkable performance, enabling the OMR to effectively navigate through narrow passages and avoid multiple static and dynamic obstacles while closely adhering to the desired trajectory.