bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Visual Disappearance by Intelligent Illumination of Exterior Surfaces of Unmanned Aerial Vehicles
Authors: BİLGİN Mesut , KONAR Mehmet
Published: March 2022

Nowadays the elimination of the visual trace is very important, especially for the low altitude unmanned ait vehicles (UAVs) to protect from their enemy targets. For UAVs, which are widely used in both civil aviation and military fields, the issues of being undetected by visual and auditory and radar are have critical importance. For this reason, visual trace destruction has been taken into consideration at this work. For this purpose, the design of the UAV with the intelligent illumination system and disappearance technology in the desired environment has been discussed. For this purpose, a UAV with a weight of 2,5 kg, a wingspan of 1,3 m, a length of 1 m, with a brushless electric motor, mid-range, medium-height, and moderately hovering features has been produced. Lighting system equipment is placed on the fuselage, wing and tail structure of the UAV. Flight tests were carried out by installing the appropriate lighting system in order to give the UAV the ability to disappear. In the application study on the examination of the disappearance of UAV’s by intelligent illumination of the outer surfaces, the design of the Intelligent illumination system and the application of the outer surface lighting were carried out.
The Relationship Between Attitudes of Students Studying in Aviation Departments Towards Distance Education and Their Commitment to University During COVID 19 Epidemic Period
Authors: OLCAY Zeynep Feride , ÖGE Ercan
Published: March 2022

This study aims to investigate the relationship between university students’ attitudes towards distance education and their university commitment in aviation departments/programs, where practical (applied) courses are vital in addition to theoretical courses, in the distance education which is compulsory during the pandemic process caused by COVID 19. Within the scope of the research, 282 participant students enrolled in the Civil Air Transport Management and Civil Aviation and Cabin Services program of the 2-year Vocational Schools of the foundation universities in Istanbul, and the Aviation Management and Pilotage Departments of the 4-year aviation departments could be reached. The questionnaire administered to the participants consists of 3 parts. The first part comprises questions regarding the demographic characteristics of the participants. The second part, includes survey questions including the “Attitude Scale towards Distance Education Applied during the Epidemic Period” and the third part include “Student Commitment in Higher Education Scale”. In order to analyze the data obtained from this survey, SPSS 25.0 statistical package program is employed. According to the findings of the research; 51% of the change in student commitment in higher education was explained by the attitude towards distance education offered during the COVID 19 pandemic. Significant differences are found between the attitudes towards distance education and student commitment according to the department types and grade levels of the students. It has been observed that student commitment increases as the scores of satisfaction with the opportunities offered by the university in distance education, communication and access in distance education, and comparison scores of distance education and face-to-face education increase.
Filters and compactness on small categories and locales
Authors:   Programa de Matemáticas, Universidad Distrital Francisco José de Caldas, Bogotá D. C., Colombia, Luna-Torres Joaquín
Published: March 2022

In analogy with the classical theory of filters, for finitely complete or small categories, we provide the concepts of filter, \(\mathfrak{G}\)-neighborhood (short for "Grothendieck-neighborhood") and cover-neighborhood of points of such categories, to study convergence, cluster point, closure of sieves and compactness on objects of that kind of categories. Finally, we study all these concepts in the category \(\mathbf{Loc}\) of locales.
Physicochemical and microbiological assessment of drinking water quality in Swakin city
Authors: Fatima B. Madni  , Elnasri M. Mutwali  , Huda M. Selman
Published: March 2022

The study was carried out on water samples collected from different sites in Swakin City and Arbat area in Sudan. Five samples were collected during two seasons (winter and summer) to determine the quality of the drinking water by looking into physicochemical and microbial aspect. Results showed that some samples exceeded the Sudanese and international standards in turbidity and some samples showed the presence of coliform, E. coli and faecal streptococcus bacteria. It is recommended to carry out microbial examination frequently for water in the distribution system.
A critical review of popular ayurvedic dosage form Vati (tablet) and its analytical evaluation
Authors: Kanchan Pal  , Anjana Dwivedi  , Rajeev Narayan Bilas
Published: March 2022

Vati Kalpana is the outcome of Kalka Kalpana, one of the five basic Ayurvedic pharmaceutical preparations. Vati Kalpana is an essential component of Ayurvedic pharmaceutics because of its various benefits, including ease of administration, palatability, and ease of dispensing and transportation. Vati Kalpana is a pharmacological method in which the powder of raw drugs (herbal or Herbo minerals) is triturated with Kasayam, juice, or even honey, and the medicines are prepared as pills or tablets. The process of defining and agreeing on technological standards is known as standardization. Raw drug collection, in-process standardization, and final product are all extensively inspected in this standardization process, which is then completed by different analytical tests. So we'll talk about Vati Kalpana and its analytical parameters in this article.
Sosialisasi Cemaran Babi sebagai Persiapan Sertifikasi Halal pada Warung Makan di Kartasura
Authors: Rusdan Ilzamha Hadijah , Anggrella Dita Purwinda
Published: March 2022

Pemerintah Republik Indonesia telah menetapkan bahwa seluruh produk yang beredar di Indonesia haruslah terjamin kehalalannya, peraturan tersebut terdapat pada Undang-Undang No.33 Tahun 2014, dan telah dikawal persiapan pelaksanaanya oleh Badan Penyelenggara Jaminan Produk Halal (BPJPH). Untuk itu diperlukan sosialisai dalam rangka persiapan sertifikasi halal tersebut terutama produk cemaran babi dan turunannya pada warung makan yang berada di sekitar kecamatan Kartasura, Sukoharjo, Jawa Tengah. Sosialisasi dilaksanakan dengan metode pemberian materi, tanya jawab, dan bertukar pengalaman, kemudian peningkatan pengetahuan diketahui dengan metode pre-test dan post-test pada 10 orang perwakilan tiap warung makan. Hasil yang didapatkan pada pengabdian masyarakat ini adalah meningkatnya pengetahuan peserta pada produk yang mengandung cemaran babi dan turunannya, sehingga para pemilik warung makan tersebut dapat mewaspadai adanya cemaran babi pada bahan baku produk yang akan  mereka jual.
Pelatihan Pemasaran Busana Bali melalui Media Sosial pada Masa Pandemi Covid-19
Authors: Mantra Ida Bagus Nyoman , Widiastuti Ida Ayu Made Sri , Handayani Nengah Dwi
Published: March 2022

Pandemi Covid-19 telah menghancurkan segala bentuk usaha di Bali terutama sektor ekonomi dan pariwisata. Keadaan ini memaksa para pedagang mencari terobasan baru untuk memasarkan produk mereka. Busana Bali yang dicintai oleh banyak orang, bukan saja oleh orang Bali tetapi juga orang dari luar Bali termasuk wisatawan. Oleh karena itu, program ini dilaksanakan guna membantu mengembangkan pembuatan media pemasaran online bagi pedagang busana Bali di Kabupaten Karangasem agar penjualan busana Bali semakin berkembang untuk memabantu industri busana yang ada dan untuk meningkatkan perekonomian masyarakat. Program ini bertujuan untuk membangun media pemasaran online berbasis sosial media sehingga pembeli lebih mudah memperoleh busana yang mereka inginkan tanpa kontek fisik secara langsung. Disamping itu, program ini juga memberikan pelatihan pengoperasian media social untuk pemasaran secara berkesinambungan sehingga para penjual busana Bali mampu mengikuti perkembangan pasar. Dengan adanya media pemasaran ini, penjulan busana Bali semakin meningkat dan dapat bersaing di pasar global.
Program Inkubasi Bisnis untuk Menumbuhkan Jiwa Technopreneur dilingkungan KOPMA UPI Cibiru pada Era New Normal
Authors: Hendriyana Hendriyana , Ardimansyah Mochmad Iqbal , Muhamad Raditya , Supriadi Acep
Published: March 2022

Salah satu syarat negara maju menurut Kementrian Perindustrian Republik Indonesia ialah memiliki jumlah wirasusaha yang bertambah tiap tahun untuk mendorong penguatan struktur ekonomi. Berasarkan data Badan Pusat Statisik (BPS), pada tahun 2018 Indonesia memliki rasio wirausaha sebesar 3.1% dari total populasi penduduk. Nilai ratio tersebut mengalami kenaikan jika dibandingkan dengan tahun sebelumnya namun masih tertinggal dibandingkan negara tetangga. Oleh karena itu, untuk meningkatkan ratio kewirausahaan diperlukan minat sejak dini salah satunya dengan mengenalkan wirausaha dengan bantuan teknologi atau technopreneur pada lingkungan perguruan tinggi yang memiliki peran penting dalam menciptakan sumber daya kreatif dan inovatif. Pengabdian kepada masyarakat mengenalkan technopreneur pada mahasiswa melalui program inkubasi bisnis yang dilakukan secara daring atau online sesuai dengan kondisi new normal. Model yang digunakan pada program inkubasi bisnis ini melalui pembinaan dan pendampingan. Matrik atau pengukuran yang digunakan untuk mengevaluasi program inkubasi bisnis ini menggunakan komponen penilaian meliputi:(1)pemahaman materi pembinaan, (2)motivasi untuk menerapkan materi pada model bisnis dan (3)kegiatan keselurahan pelaksanaan program bisnis yag dilakukan secara daring atau online. Evaluasi tersebut dilakukan menggunakan kuesioner terhadap peserta, didapakan 98.04% peserta menilai kegiatan program inkubasi bisnis ini bermanfaat dan memiliki minat untuk menerapkan materi pada usaha yang sedang berjalan ataupun usaha yang akan dijalankan peserta pelatihan.
Gigi Sehat: Channel Video Edukasi Kesehatan Gigi dan Mulut untuk Orangtua Murid di Surabaya
Authors: Ramadhani Aulia , Sosiawan Agung
Published: March 2022

Karies gigi merupakan salah satu masalah kesehatan gigi dan mulut yang paling banyak ditemukan pada anak. Hal ini berdasarkan penelitian yang dilakukan di Surabaya pada anak usia pra-sekolah menunjukkan prevalensi karies gigi yang tinggi (67.5%) dengan tingkat keparahan yang juga tinggi (def: 7.0). Hal ini dapat disebabkan karena rendahnya pengetahuan ibu terkait kesehatan gigi dan mulut. Rendahnya pengetahuan tersebut disebabkan oleh rendahnya kemauan ibu untuk mengakses informasi kesehatan gigi dan mulut yang berdampak pada perawatan kesehatan gigi anak. Berdasarkan hasil penelitian epidemiologi yang dilakukan oleh tim FKG Unair, Salah satu media yang paling banyak digunakan oleh para ibu di Surabaya dalam mengakses informasi di internet adalah aplikasi YouTube, dengan prevalensi sebesar 46.2%. Selain itu didukung pula dengan persentasi ibu-ibu yang memiliki smartphone dengan akses internet di Surabaya sangat tinggi yaitu sebesar 91.6%. Kami menawarkan solusi pembuatan video edukasi yang merupakan media yang cukup diminati ibu wali murid di wilayah Keputih dengan tujuan untuk menyediakan akses informasi pada masyarakat Keputih tentang kesehatan gigi dan mulut.  Bermitra dengan Puskesmas Keputih, Surabaya, program sosialisasi ini diikuti oleh 30 orang wali murid SDN Medokan Semampir 1. Metode pelaksanaan program ini adalah dengan penyebaran link video yang akan diunggah di aplikasi YouTube. Video edukasi kesehatan gigi dan mulut dibuat berseri dan diunggah setiap minggunya di kanal YouTube Gigi Sehat. Dari kanal YouTube tersebut, akan dievaluasi jumlah penonton tiap minggunya. Sosialisasi video diawali dengan pemberian pre-test dan post-test mengenai kesehatan gigi dan mulut. Dari 30 partisipan yang hadir, didapatkan lebih dari 75% responden mengalami peningkatan skor post-test. Jumlah penonton video juga mengalami peningkatan tiap videonya. Dari peningkatan pengetahuan, jumlah penonton, serta respon positif terhadap video ini, dapat disimpulkan bahwa program pemberdayaan masyarakat ini berhasil.
Pengenalan Aplikasi Berbicara untuk IKABDMS sebagai Pembelajar Bahasa Asing
Authors: Syafitri Dewi , Yulfi Yulfi
Published: March 2022

IKABDMS adalah salah satu perkumpulan dari pemilihan pemuda dan pemudi terbaik daerah atau yang dikenal dengan Bujang Dehe Musi Rawas Sempurna. Salah satu kegiatan organisasi ini adalah melakukan promosi daerah (pariwisata/makanan khas/produk kerajinan lokal/budaya dan lain-lain), kegiatan public speaking (menggunakan bahasa Inggris) dan lain-lain. Sebagai organisasi kepemudaan, mereka dituntut untuk cakap dalam berbagai bidang termasuk penggunaan bahasa inggris di tingkat regional, nasional bahkan internasional. Pelatihan ini dilaksanakan karna kurangnya penguasaan bahasa Inggris dan kurang percaya diri terutama speaking skill yang menjadi kendala mereka dalam melaksanakan tugas sebagai duta daerah. Pelatihan speaking ini dilaksanakan dengan menggunakan beberapa aplikasi bahasa Inggris dari smartphone yang dapat membantu mereka berlatih bahasa inggris dengan atau tanpa adanya pendampingan.
Implementasi Inovasi: Metode One Room One Leader sebagai Upaya Peningkatan Personal Hygiene Pasien Skizofrenia
Authors: Hermawati Erlina , Hidayati Laili Nur
Published: March 2022

Latar Belakang: Pasien skizofrenia pada umumnya tidak mampu melaksanakan fungsi dasar secara mandiri, misalnya melakukan kebersihan diri, menjaga penampilan, dan sosialisasi. Pelaksanaan metode one room one leader merupakan suatu inovasi sebagai salah satu upaya untuk meningkatkan kualitas personal hygiene pasien skizofrenia. Kegiatan implementasi inovasi ini bertujuan untuk mengetahui peningkatan personal hygiene dengan metode one room one leader pada pasien skizofrenia di Wisma Sadewa RSJ Ghrasia Yogyakarta. Metode yang digunakan dalam inovasi ini adalah penerapan metode one room one leader dalam memantau personal hygiene pasien di ruang Sadewa RSJ Gharsia Yogyakarta. Sebelum dilakukan kegiatan diberikan pretest aktivitas personal hygiene dan sesudah dilakukan tindakan inovasi dilakukan posttest. Jumlah partisipan dalam implementasi inovasi ini adalah 14 partisipan. Instrumen dalam impelementasi inovasi ini berupa lembar observasi personal hygiene pada pasien skizofrenia. Hasil kegiatan inovasi menunjukkan adanya peningkatan personal hygiene yaitu dari personal hygiene kurang menjadi personal hygiene baik. Berdasarkan hasil ini diharapkan masing-masing ruangan bisa menerapkan metode one room one leader sebagai salah satu upaya untuk peningkatan personal hygiene pasien skizofrenia di ruang maintenance
Implementasi Augmented Reality Huruf Hijaiyah pada TPQ Manarul Huda Sumbersari Kota Malang
Authors: As'ad Mohamad , Setyowibowo Sigit , Sujito Sujito
Published: March 2022

Metode baca Alqur’an di Taman Pendidikan Al-Qur’an (TPQ) sering menggunakan metode Iqro’, Ummi, Tilawati, Qiroati, Tartili dan lain-lain. Berkenaan dengan metode baca Al-Qur’an dan perkembangan smartphone dapat diaplikasian untuk membantu santri dalam tahap awal menghafal huruf Hijaiyah dengan bantuan software Augmented Reality (AR). Sistem pengajaran awal untuk mengenalkan huruf hijaiyah di TPQ Manarul Huda ini masih menggunakan sitem lama yaitu Iqro’. Jumlah santri di TPQ Manarul Huda ini sebanyak 66 santri yang tingkat awal sebanyak 11 santri. Pengabdian masyarakat ini bertujuan memperkenalkan teknologi pembelajaran baru yaitu pengenalan awal pada santri baru menggunakan teknologi Augmented Reality Huruf Hijaiyah (ARHH). Ketika diperkenalkan metode ARHH para siswa sangat antusias termasuk para ustadz dan orang tuanya karena sistem ARHH ini bisa dipelajari di rumah sama orang tua sambil mainan handphone. Dalam ARHH ini santri bisa diajak untuk latihan menghafal, menulis dan mendengarkan lafadz dari huruf hijaiyah, sehingga tidak merasa belajar tapi bermain tebak, mendengar dan menulis. Untuk mengetahui hasil dari pelatihan ini, penulis juga mendata kemampuan santri sebelum dan sesudah menggunakan software ini. Rata-rata naik dalam ketiga lingkup yaitu hafalan huruf, lafadz huruf dan kemampuan menulis huruf hijaiyah.
Penanganan Hipertensi Dengan Relaksasi dan Konsumsi Infused Water Buah Okra
Authors: Dewi Noviana , Saroh Dewi
Published: March 2022

Hipertensi merupakan suatu kondisi pada tubuh dimana terjadi kenaikan tekanan darah baik tekanan darah sistolik maupun tekanan diastolik. Seseorang dapat dikatakan mengalami hipertensi apabila tekanan darah sistolik/diastolik yaitu >140/90 mmHg). Hipertensi yang tidak dilakukan pengobatan dengan baik dapat menyebabkan terjadinya resiko komplikasi diantaranya yaitu stroke, jantung coroner, infark miokard, gagal ginjal, ensefalopati, dan kejang. Penanganan hipertensi dapat dilakukan dengan penanganan holistic menggunakan treatment psikologis dan pengobatan herbal. Treatment psikologi dapat dilakukan dengan relaksasi, dimana relaksasi tersebut dapat mengurangi stress yang diakibatkan karena meningkatnya tekanan darah serta ketegangan pada otot-otot di seluruh tubuh. Pengobatan herbal dapat dilakukan dengan mengkonsumsi sayuran yang tinggi vitamin, mineral, dan serat seperti pada okra. Buah okra mengandung 8,5% kalium yang dapat menyumbangkan 8% dari kebutuhan tubuh, dimana kalium juga membantu komunikasi saraf dan otot serta membantu dalam mengendalikan tekanan darah. Pengolahan buah okra sebagai infused water dapat dibuat dengan perbandigan 1 buah okra (13 gram) direndam dalam 100 cc air matang, kemudian didiamkan selama 1-2 jam dan dapat diberikan selama 14 hari berturut-turut (± 200 cc).
Education dengan Pendekatan Self Help Group Adaptasi Kebiasaan Baru Covid – 19
Authors: Wijayanti Dewi , Handayani Fitria
Published: March 2022

Permasalahan bahwa anak-anak di panti harus terus hidup dengan normal seperti ingin kembali bisa bermain, belajar, dan bersosialisasi atau aktivitas lainnya agar dapat produktif di masa pandemic covid-19. Hal ini bisa dilakukan oleh anak-anak di panti jika anak-anak tersebut mendapatkan ilmu dan informasi yang jelas tentang adaptasi baru di masa pandemic covid-19. Tujuan Pengabdian adalah Menganalisa kecemasan, ketakutan dan ketidak tahuan yang dialami anak-anak di panti tersebut, khususnya bagaimana pengetahuan tentang adaptasi kebiasaan baru, pencegahan, penanganan serta kemampuan yang baik untuk melakukan pengontrolan terhadap penyakitnya sehingga diperlukan  edukasi  tatanan adaptasi kebiasaan baru self help group. Metode pengabdian masyrakat  dilakukan pada anak-anak dipanti asuhan Al-Marhamah menggunakan empat tahapan yaitu, menggali permasalahan yang dialami oleh anak-anak dalam menghadapi adaptasi baru di masa pandemic covid-19, diskusi, ceramah presentasi edukasi tentang adaptasi baru di masa pandemic covid-19 dan implementasi praktik terapi self help group. Hasil di dapatkan peningkatan pengetahuan anak-anak tentang adaptasi baru masa pandemic covid-19, membawa dampak yang baik bagi anak-anak dalam menjalani hidup normal, dan anak-anak mulai beradaptasi dengan kebiasaan seperti disiplin hidup sehat dengan menerapkan protokol kesehatan secara ketat.
CONTROLLING THE MOVEMENT AXIS OF THE OPERATING DEVICES OF THE FACILITIES AND IMPLEMENTATION OPTIONS
Authors: Chepchurov Mihail , Minasova Viktoriya
Published: March 2022

The aim of the authors’ research is to evaluate the results of using a programmable controller to manage the precise feed drive of a metal-cutting machine, and the ultimate aim of the research is to modernize decommissioned equipment and expand its functionality. The task set by the authors in the project implementation for modernizing the thread grinding machine was to assess the positioning accuracy of the working devices of the facilities, with the operational correction of the equipment drive discretization. A stepper motor managed by a logic controller was used as a drive; the same controller processed the data received from the linear displacement sensor. The authors used statistical methods for estimating the positioning error of the operating devices of the facilities, depending on its movement speed. In this case, the minimum and maximum values of the error were discarded according to the Grubbs criterion. In the experiment, the operational processing of the measurement results was used, followed immediately by the discrete correction in the control system. The findings of the study allowed obtaining a new method for discreet correction in the drive control, which made it possible to immediately evaluate the modernization results, without studying the facility transmission mechanisms. Implementing the findings allowed extending the equipment service life in the new capacity.
AUTOMATED CALCULATION OF STATIC CHARACTERISTICS OF SILICON FAST RECOVERY DIODES FOR APPLYING IN POWER ELECTRONICS DEVICES
Authors: Gerasimov Konstantin , Dantsev Oleg , Krasyukov Anton
Published: March 2022

Calculating, analysing and verifying current-voltage characteristics (CVC) of a silicon fast-recovery diode (FRD) are performed using the methods of instrumental-technological modelling. The article determines the planar structure configuration of a semiconductor device crystal, the levels of doping and doses of irradiation with high-energy particles, at which the required values of operating and maximum forward currents and reverse (breakdown) voltages are achieved. The main tasks to be solved in the article are to determine the optimal design and technological parameters of the fast-recovery diode (FRD) structure and verifying the calculated current-voltage characteristics (CVC) values with the experimental data taken from the SKKE310F12 fast recovery diode at various ambient temperatures. The novelty of the work is represented by the obtained verified instrumental-technological model of FRD, which is possible for industrial implementation in the form of a semiconductor device at the production base of domestic microelectronics enterprises. The results of the research can be used in producing the element base of power electronics for pulsed power converters, namely discrete FRD, FRD structures as part of power modules based on MOSFET (Metal Oxide Semiconductor Field Effect Transistor) and IGBT transistors.
MODEL OF MANAGING PROCESSES OF ENGINEERING CHANGES IN PRODUCTS AT AN INDUSTRIAL ENTERPRISE
Authors: Irzaev Gamid
Published: March 2022

The issues of the influence of engineering changes in the industrial enterprise products on the goods competitiveness and the enterprise itself are considered, internal and external causes of changes are identified, and the need to formalize the engineering change management system is substantiated. A control model is proposed, which is based on three control loops: engineering changes, product competitiveness and manufacturability, and interaction with the external environment. When concretizing the goals, objectives and parameters of engineering changes at an enterprise a generalized model can help to identify a system of adequate measures designed to create conditions for the enterprise short-term and long-term development while maintaining the competitiveness of manufactured products and the economic stability of the growth as a whole.
SIMULATION OF AC ELECTRIC DRIVE WITH SPACE-VECTOR MODULATION ALGORITHMS
Authors: Chuprina Nikolay , Sedykh Sergey , Pugachev Aleksandr , Maklakov Vladimir
Published: March 2022

The relevance of investigation of induction motor electric drives with frequency converters having voltage source inverter with space-vector modulation is shown. The brief survey of researches of such matter is carried out. The aim of this article is to develop mathematical and computer model of frequency converter with space-vector modulation algorithms by means of Matlab Simulink, this model has to be implemented into the Matlab models of AC electric drives with induction and synchronous motors. To achieve such an aim, it needs to introduce techniques of electric drive theory, numerical techniques, techniques of algebraic equations system solution, techniques of computer simulation. The still two-phase framework is applied to describe the converter model. The two-level voltage source inverter is chosen for the investigation of modulation algorithms. To verify the mathematical model of space-vector modulation, the model of 5.5 kW induction motor is used. Induction motor and power switches are modelled by means of Matlab SimPowerSystems units. The results of simulation show the adequacy of the developed model in both steady state and transient modes. One can conclude the dependence of total harmonic distortion of the induction motor stator current from load torque, switching frequency of voltage source inverter’s power switches and stator current frequency for the electric drive with scalar control system.
Media Berbasis Game Edukasi Mata Pelajaran Matematika Pada Siswa Kelas II SDN Pangkah Wetan Kabupaten Gresik
Authors: Khofifah Lailiyyul
Published: March 2022

Pengembangan merupakan suatu proses yang dipakai untuk mengembangkan dan menvalidasi produk pendidikan baik berupa proses, produk dan rancangan. Sedangkan media adalah segala sesuatu yang dapat digunakan untuk menyalirkan pesan dari pengirim ke peenrima sehingga dapat merangsangpikiran, perasaan, minat serta perhatian siswa sedemikian rupa sehigga proses belajar terjadi. Oleh sebab itu, pengertian pengembangan media adalah suatu proses yang dipakai dalam mengembangkan sebuah produk dengan memberikan stimulus kepada siswa dalam proses pembelajaran. Dalam pembelajarann dibutuhkan hubungan komunikasi yang baik antara seorang guru dan siswa untuk meningkatkan hasil pembelajaan yang optimal dan proses pembelajaran dapat berjalan secara efektif. Untuk menunjang hasil yang baik, dibutuhkan sebuah media untuk membantu guru dalam menyampaikan materi yang diajarkan agar dalam proses pembelajaran tidak terlesan membosankaan.
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets
Authors: Kons Zvi , Satt Aharon , Kuo Hong-Kwang , Thomas Samuel , Carmeli Boaz , Hoory Ron , Kingsbury Brian
Published: March 2022

Intent classifiers are vital to the successful operation of virtual agent systems. This is especially so in voice activated systems where the data can be noisy with many ambiguous directions for user intents. Before operation begins, these classifiers are generally lacking in real-world training data. Active learning is a common approach used to help label large amounts of collected user input. However, this approach requires many hours of manual labeling work. We present the Nearest Neighbors Scores Improvement (\textbf{NNSI}) algorithm for automatic data selection and labeling. The NNSI reduces the need for manual labeling by automatically selecting highly-ambiguous samples and labeling them with high accuracy. This is done by integrating the classifier's output from a semantically similar group of text samples. The labeled samples can then be added to the training set to improve the accuracy of the classifier.We demonstrated the use of NNSI on two large-scale, real-life voice conversation systems. Evaluation of our results showed that our method was able to select and label useful samples with high accuracy. Adding these new samples to the training data significantly improved the classifiers and reduced error rates by up to 10\%.
Instance-Level Loss based Multiple-Instance Learning for Acoustic Scene Classification
Authors: CHOI WON-GOOK , CHANG JOON-HYUK , YANG JAE-MO , MOON HAN-GIL
Published: March 2022

In acoustic scene classification (ASC) task, an acoustic scene consists of diverse attributes and is inferred by identifying combinations of some distinct attributes among them.This study aims to extract and cluster these attributes effectively using a multiple-instance learning (MIL) framework for ASC. MIL, known as one of the weakly supervised learning methods, is a way to extract instances from input data and infer a scene corresponding to the input data with those unlabeled instances. We develop the MIL framework more suitable for ASC systems, adopting instance-level labels and instance-level loss, which are effective in extracting and clustering instances. As a result, the witness rate increases significantly compared to the framework without instance-level loss and labels. Also in several MIL-based ASC systems, the classification accuracy improves by about 5 to 11\% than without instance-level loss. In addition, we designed a fully separated convolutional module which is a low-complexity neural network consisting of pointwise, frequency-sided depthwise, and temporal-sided depthwise convolutional filters. Considering both complexity and performance, our proposed system is more practical compared to previous systems on the DCASE 2019 challenge task 1-A leader board. We surpassed the third-place model by achieving a performance of 82.3\% with only the model complexity of 417K, which is at least 40 times fewer than other systems.
Tugas Resume Ekonomi Mikro
Authors: Melisa
Published: March 2022

Ekonomi makro atau makro ekonomi adalah studi tentang ekonomi secara keseluruhan, yang menjelaskan perubahan ekonomi yang memengaruhi banyak rumah tangga (household), perusahaan, dan pasar. Ekonomi makro merupakan cabang ilmu ekonomi yang khusus mempelajari mekanisme bekerjanya perekonomian sebagai suatu keseluruhan (agregate) berkaitan dengan penggunaan faktor produksi yang tersedia secara efisiensi agar kemakmuran masyarakat dapat dimaksimumkan dilihat dari sudut pandang ajaran Islam. Ekonomi makro dapat digunakan untuk menganalisis cara terbaik untuk memengaruhi target-target kebijaksanaan, seperti pertumbuhan ekonomi, stabilitas harga, tenaga kerja dan pencapaian keseimbangan neraca yang berkesinambungan.
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
Authors: Triantafyllopoulos Andreas , Milling Manuel , Drossos Konstantinos , Schuller Bjorn W.
Published: March 2022

Underspecification and fairness in ML applications have recently become two prominent issues in the \ac{ML} community. ASC applications have so far remained unaffected by this discussion, but are now becoming increasingly used in real-world systems where fairness and reliability are critical aspects. In this work, we argue for the need of a more holistic evaluation process for ASC models through disaggregated evaluations. This entails taking into account performance differences across several factors, such as city, location, and recording device. Although these factors play a well-understood role in the performance of ASC models, most works report single evaluation metrics taking into account all different strata of a particular dataset. We argue that metrics computed on specific sub-populations of the underlying data contain valuable information about the expected real-world behaviour of proposed systems, and their reporting could improve the transparency and trustability of such systems. We demonstrate the effectiveness of the proposed evaluation process in uncovering underspecification and fairness problems exhibited by several standard ML architectures when trained on two widely-used ASC datasets. Our evaluation shows that all examined architectures exhibit large biases across all factors taken into consideration, and in particular with respect to the recording location. Additionally, different architectures exhibit different biases even though they are trained with the same experimental configurations.
Assessing Progress of Parkinson's Disease Using Acoustic Analysis of Phonation
Authors: Mekyska Jiri , Galaz Zoltan , Mzourek Zdenek , Smekal Zdenek , Rektorova Irena , Eliasova Ilona , Kostalova Milena , Mrackova Martina , Berankova Dagmar , Faundez-Zanuy Marcos , Lopez-de-Ipina Karmele , Alonso-Hernandez Jesus B.
Published: March 2022

This paper deals with a~complex acoustic analysis of phonation in patients with Parkinson's disease (PD) with a~special focus on estimation of disease progress that is described by 7 different clinical scales (e.\,g. Unified Parkinson's disease rating scale or Beck depression inventory). The analysis is based on parametrization of 5 Czech vowels pronounced by 84 PD patients. Using classification and regression trees we estimated all clinical scores with maximal error lower or equal to 13\,\%. Best estimation was observed in the case of Mini-mental state examination (MAE = 0.77, estimation error 5.50\,\%). Finally, we proposed a~binary classification based on random forests that is able to identify Parkinson's disease with sensitivity SEN = 92.86\,\% (SPE = 85.71\,\%). The parametrization process was based on extraction of 107 speech features quantifying different clinical signs of hypokinetic dysarthria present in PD.
TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices
Authors: Rashid Hasib-Al , Ovi Pretom Roy , Busart Carl , Gangopadhyay Aryya , Mohsenin Tinoosh
Published: March 2022

With the emergence of Artificial Intelligence (AI), new attention has been given to implement AI algorithms on resource constrained tiny devices to expand the application domain of IoT. Multimodal Learning has recently become very popular with the classification task due to its impressive performance for both image and audio event classification. This paper presents \emph{\sys{}} - a flexible system algorithm co-designed multimodal learning framework for resource constrained tiny devices. The framework was designed to be evaluated on two different case-studies: COVID-19 detection from multimodal audio recordings and battle field object detection from multimodal images and audios. In order to compress the model to implement on tiny devices, substantial network architecture optimization and mixed precision quantization were performed (mixed 8-bit and 4-bit). \emph{\sys{}} shows that even a tiny multimodal learning model can improve the classification performance than that of any unimodal frameworks. The most compressed \emph{\sys{}} achieves 88.4\% COVID-19 detection accuracy (14.5\% improvement from unimodal base model) and 96.8\% battle field object detection accuracy (3.9\% improvement from unimodal base model). Finally, we test our \emph{\sys{}} models on a Raspberry Pi 4 to see how they perform when deployed to a resource constrained tiny device.
NATO'nun Beyin Ölümü Gerçekleşmedi: AGİT Ve NATO Ukrayna'daki Savaşi Durdurmaya Nasil Yardimci Olabilir?
Authors: Tulun Teoman Ertuğrul
Published: March 2022

Fransa Cumhurbaşkanı Emmanuel Macron yaklaşık iki buçuk yıl önce verdiği bir mülakatta, küstah bir dille NATO’nun beyin ölümünün gerçekleştiğini ve Avrupa’nın uçurumun kenarında olduğunu iddia etti. Bunun yanı sıra kendinden emin bir şekilde NATO’nun geleceğini sorguladı. Ancak Macron'un öngörüsü yanlış çıktı. NATO, beyin ölümü yaşamadı. Bugün, AB üyesi zengin İskandinav ülkelerinin çoğu bile NATO'ya katılmaya istekli durumda. Örneğin, bir Deutsche Welle (DW) haberine göre, İsveç ve Finlandiya, geçmişte halklarının çoğunluğunun desteklediği askeri bağlantısızlık politikası nedeniyle NATO'dan uzak kaldı. Şimdi ise Ukrayna'daki savaş nedeniyle politikalarını değiştiriyor ve NATO'ya katılma arzusundalar. AB'nin önümüzdeki dönemde güvenlik açısından NATO'nun himayesine çok daha fazla ihtiyaç duyması mümkün görünüyor. Öte yandan, Türkiye'nin hemen yanında ciddi bir savaşın yaşandığı bu günlerde, geçmişe dönüp Avrupa Güvenlik ve İşbirliği Teşkilatı (AGİT) tarafından geliştirilen "güvenliğin bölünmezliği" ilkesini hatırlamanın ve bu ilkenin özünü genç kuşaklara anlatmanın faydalı olacağı düşünülmektedir. 1975 Helsinki Nihai Senedi çerçevesinde AGİT'e katılımcı Devletler, Avrupa'daki güvenliğin bölünmezliğini kabul ettiler. AGİT’e katılan 54 devletin liderleri, 1999 yılı Kasım ayında gerçekleşen AGİT İstanbul Zirvesi’nde ‘’İstanbul Şartı’’ adı verilen Avrupa Güvenlik Şartı’nı imzaladılar. Avrupa Güvenlik Şartı'nın sekizinci paragrafı, yirmi birinci yüzyılda Avrupa'nın güvenliği ve istikrarı için en önemli ilkelerden birini içermektedir. Avrupa'nın bugün Ukrayna'da karşılaştığı savaş durumunun nedeni, Rusya Federasyonu ve Batı bloğundaki bazı ülkelerin bu paragrafı kendi önceliklerine göre değerlendirmeleridir. Bugün Ukrayna'da karşılaştığımız savaş durumuna çözüm bulabilmek için 1999 İstanbul Şartı'nın hazırlandığı dönemin yapıcı müzakere ruhunun geri dönülmesi gerekmektedir. Bize göre Türkiye, mevcut koşullarda, yeni müzakerelerde bu yapıcı ruhun yeniden canlanması için gereken elverişli zemini en iyi şekilde hazırlayabilecek, en uygun AGİT ülkelerinden biridir.
Ô nhiễm môi trường có thể thúc đẩy di cư và chảy máu chất xám
Authors: Hanh Ha Thi Hong , Uyen Do Thi Hong
Published: March 2022

Ô nhiễm môi trường có thể thúc đẩy di cư và chảy máu chất xám
Resume Lembaga Keuangan Syariah Bank dan Non-Bank
Authors: R Nurul Zahra Zahirah
Published: March 2022

Nurul Zahra Zahirah R (90500110054)
Visually Exploring Multi-Purpose Audio Data
Authors: Heise David , Bear Helen L.
Published: March 2022

We analyse multi-purpose audio using tools to visualise similarities within the data that may be observed via unsupervised methods. The success of machine learning classifiers is affected by the information contained within system inputs, so we investigate whether latent patterns within the data may explain performance limitations of such classifiers. We use the visual assessment of cluster tendency (VAT) technique on a well-known data set to observe how the samples naturally cluster, and we make comparisons to the labels used for audio geotagging and acoustic scene classification. We demonstrate that VAT helps to explain and corroborate confusions observed in prior work to classify this audio, yielding greater insight into the performance -- and limitations -- of supervised classification systems. While this exploratory analysis is conducted on data for which we know the ``ground truth" labels, this method of visualising the natural groupings as dictated by the data leads to important questions about unlabelled data that can help the evaluation and realistic expectations of future (including self-supervised) classification systems.
An Acoustic Signal Cavitation Detection Framework Based on XGBoost with Adaptive Selection Feature Engineering
Authors: Sha Yu , Faber Johannes , Gou Shuiping , Liu Bo , Li Wei , Schramm Stefan , Stoecker Horst , Steckenreiter Thomas , Vnucec Domagoj , Wetzstein Nadine
Published: March 2022

Valves are widely used in industrial and domestic pipeline systems. However, during their operation, they may suffer from the occurrence of the cavitation, which can cause loud noise, vibration and damage to the internal components of the valve. Therefore, monitoring the flow status inside valves is significantly beneficial to prevent the additional cost induced by cavitation. In this paper, a novel acoustic signal cavitation detection framework--based on XGBoost with adaptive selection feature engineering--is proposed. Firstly, a data augmentation method with non-overlapping sliding window (NOSW) is developed to solve small-sample problem involved in this study. Then, the each segmented piece of time-domain acoustic signal is transformed by fast Fourier transform (FFT) and its statistical features are extracted to be the input to the adaptive selection feature engineering (ASFE) procedure, where the adaptive feature aggregation and feature crosses are performed. Finally, with the selected features the XGBoost algorithm is trained for cavitation detection and tested on valve acoustic signal data provided by Samson AG (Frankfurt). Our method has achieved state-of-the-art results. The prediction performance on the binary classification (cavitation and no-cavitation) and the four-class classification (cavitation choked flow, constant cavitation, incipient cavitation and no-cavitation) are satisfactory and outperform the traditional XGBoost by $4.67\%$ and $11.11\%$ increase of the accuracy.
Governance Failure
Authors: Mai Nhat Chi
Published: March 2022

A governance failure refers to any failures of governance or ineffectiveness of governance processes.
Ô nhiễm môi trường có thể thúc đẩy di cư và chảy máu chất xám
Authors: Hanh Ha Thi Hong
Published: March 2022

Ô nhiễm môi trường có thể thúc đẩy di cư và chảy máu chất xám
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning
Authors: Abesser Jakob , M{\"u}ller Meinard
Published: March 2022

The deployment of machine listening algorithms in real-life applications is often impeded by a domain shift caused for instance by different microphone characteristics. In this paper, we propose a novel domain adaptation strategy based on disentanglement learning. The goal is to disentangle task-specific and domain-specific characteristics in the analyzed audio recordings.In particular, we combine two strategies: First, we apply different binary masks to internal embedding representations and, second, we suggest a novel combination of categorical cross-entropy and variance-based losses. Our results confirm the disentanglement of both tasks on an embedding level but show only minor improvement in the acoustic scene classification performance, when training data from both domains can be used. As a second finding, we can confirm the effectiveness of a state-of-the-art unsupervised domain adaptation strategy, which performs across-domain adaptation on a feature-level instead.
Continuous Speech for Improved Learning Pathological Voice Disorders
Authors: Wang Syu-Siang , Wang Chi-Te , Lai Chih-Chung , Tsao Yu
Published: March 2022

Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes a novel approach, using continuous Mandarin speech instead of a single vowel, to classify four common voice disorders (i.e. functional dysphonia, neoplasm, phonotrauma, and vocal palsy). In the proposed framework, acoustic signals are transformed into mel-frequency coefficients, and a bi-directional long-short term memory network (BiLSTM) is adopted to model the sequential features. The experiments were conducted on a large-scale database, wherein 1,045 continuous speech were collected by the speech clinic of a hospital from 2012 to 2019. Experimental results demonstrated that the proposed framework yields significant accuracy and unweighted average recall improvements of 78.12–89.27\% and 50.92–80.68\%, respectively, compared with systems that use a single vowel. The results are consistent with other machine learning algorithms, including gated recurrent units, random forest, deep neural networks, and LSTM. The sensitivities for each disorder were also analyzed, and the model capabilities were visualized via principal component analysis. An alternative experiment based on a balanced dataset again confirms the advantages of using continuous speech for learning voice disorders.
Psychobiological personality traits of children and adolescents with disorders of arousal
Authors: Castelnovo Anna , Turner Katherine , Perogamvros Lampros
Published: March 2022

Disorders of arousal (DOA) are Non-Rem Sleep (NREM) parasomnias that emerge from incomplete arousal out of deep sleep and lead to a broad variety of emotional and motor behaviours. Increasing evidence supports the hypothesis that specific psychopathological traits contribute to the multifactorial origin of these phenomena. The aim of the current multicenter study was to compare the personality profile of children and adolescents with and without DOA using the Junior Temperament and Character Inventory (JTCI).We enrolled 36 patients with a diagnosis of DOA (mean age of 11 ± 3 years, 64% males), and 36 healthy age and gender matched control subjects (mean age of 11.2 ± 3.6, years, 67% males). Their parents completed the Paris Arousal Disorder Severity Scale (PADSS), the Sleep Disturbance Scale for Children (SDSC) and the JTCI.Patients with DOA reached significantly higher levels compared to their control group in total PADSS (p <.0001) and in total SDSC (p < 0.0001). They also displayed higher scores in novelty seeking (p = 0.005), harm avoidance (p = 0.01), self-transcendence (p = 0.006) JTCI subscales, and lower scores on the self- directedness subscale (p = 0.004). Our pediatric sample with DOA exhibited specific psychobiological personality traits compared to age and gender matched subjects without DOA. These results shed light on new possible etiopathogenetic mechanisms, as TCI traits have been linked to specific genetic variants and brain circuits, like the reward system. Prospective studies are required to assess the effect of targeted psychological/psychiatric treatment on DOA symptomatology.
RESUME I - ISMATUL HUSNAH (90500120058)
Authors: Husnah Ismatul
Published: March 2022

Makro Ekonomi adalah Ilmu yang mempelajari mekanisme bekerjanya perekonomian secara keseluruhan (agregat). Variabel Keseluruhan maksudnya adalah variabel pendapatan nasional atau Konsumsi rumah.
Stimulus Reliability in Serial Dependence: Facing Noise
Authors: Lidström Anette
Published: March 2022

Despite exposure to various sources of visual noise, we experience the surrounding world as very stable. Evidence suggests that this sense of stability emerges as the visual system uses prior information to interpret current sensory evidence through a process known as serial dependence. Although manifesting as a misperception, recent evidence suggest that this process is highly adaptive and driven by the aim to enhance stimulus reliability for visual stimuli in noisy settings. This suggestion is thus far supported for low-level stimuli and orientation reproduction, and it is not clear whether it extends to high-level stimuli like faces. The results from the present study revealed that serial dependence in an identity reproduction task changed as a function of stimulus reliability. Weaker serial dependence was demonstrated when degraded faces were followed by undegraded faces, and stronger serial dependence when undegraded faces were followed by degraded faces. Additionally, attractive serial dependence was revealed when both preceding and current target faces were degraded. These results show that serial dependence in high-level face perception is also affected by stimulus reliability.
Exploring Trauma Responsive Educational Practices in a Museum
Authors: Price C. Aaron , Makdisi Leila , Hutchinson Gail , Lancaster Daniel , Keels Micere
Published: March 2022

Trauma infiltrates all of society – including museums. For guests, the trauma may lie in the context of the visit or what they bring with them from their everyday lives. Staff can develop trauma through daily interaction with stressful content or secondary trauma through interaction with traumatized guests. During the COVID19 pandemic, trauma also developed from workplace issues regarding personal health safety and job security. This is a case study about how one museum educated itself about the presence and impact of trauma through exploration of a framework developed by the Trauma Responsive Educational Practices (TREP) Project. We present results of a staff-wide evaluation around initial implementation of the framework. Results show staff found the framework to be relevant and useful, but they need more support adapting it to the unique environment of museums. It also triggered memories of personal trauma in some staff, requiring a rethinking about how to implement it.