bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling medium resolution evapotranspiration using downscaling techniques in north-western part of India
Authors: Dhaloiya Arvind , Duhan Darshana , Denis DM , Singh Dharmendra , Kumar Mukesh , Singh Manender
Published: July 2023

The present investigation provides a modeling solution to downscale MODIS-based evapotranspiration (ET) at a 30 m spatial resolution from its original 500 m spatial resolution using meteorological and Landsat 8 (Operational Land Imager, OLI) data by employing downscaling models. The nine indices namely Surface Albedo, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), Modified Soil-Adjusted Vegetation Index (MSAVI), Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI), Normalized Difference Moisture Index (NDMI), and Normalized Difference Infrared Index for Band 7 (NDIIB7) were calculated from Lansat 8 data at 30 m spatial resolution. The multiple linear regression (MLR) and Least Square Support Vector Machine (LS-SVM) models were developed to generate the relationship between MODIS 500 m ET and Landsat indices at 500 m scale. Further, these develop models were used to estimate 30 m ET based on 30 m Landsat 8 indices. The performance of developed models (MLR and LS-SVM) was carried out using correlation coefficient (CC), Nash-Sutcliffe coefficient (NASH) efficiency, Root Mean Square Error (RMSE) and Normalised Mean Square Error (NMSE). Penman–Monteith (PM) method was used to estimate the ET using observed station data. The results show that lowest ETO was observed in the month of December while it was maximum in the month of May. Using the performances indices, it was found that LS-SVM model slightly outperformed than MLR model. However, the downscaled model overestimates ET in comparison to the Penman-Monteith method. Further, the significant correlation was found between MODIS ET and LS-SVM ET at all the stations.
Rainfall analysis over 31 years of Chintapalle, Visakhapatnam, High Altitude and Tribal zone, Andhra Pradesh, India
Authors: Rao GRama , Sowjanya Aleti , Shekhar D , Naik BNSandeep , Kiran BVS
Published: July 2023

Climate change and variability, particularly which of the annual rainfall, has received a great deal of interest to researchers worldwide. The extent of the variability of rainfall varies according to locations. Consequently, investigating the dynamics of rainfall variable in the perspective of changing climate is important to evaluate the impact of climate change and adapt potential mitigation strategies. To gain insight, trend analysis has been employed to inspect and quantify the rainfall distribution in the Chintapalli, Visakhapatnam district of Andhra Pradesh, India. Thirty-one years for a period of 1990–2020 long historical rainfall data series for different temporal scales (Monthly, Seasonal and Annual) of the study region was used for the analysis. Statistical trend analysis techniques namely Mann–Kendall (MK) test was used to detect the trend. To compute trend magnitude, Theil–Sen approach (TSA) was used for calculation of Sen’s slope. The detailed analysis of the data for 31 years indicates positive increasing trend with 2.13mm per year derived from the linear regression. MK test detected that there were rising and falling trends for various time scales in the study area. Departure analysis of rainfall indicated that a possible chance of normal rainfall, more frequently in the area. Rainfall Anomaly Index (RAI) analysis revealed that normal for most of the years, however, 2002 is the very dry year. While last ten years, the frequency of drought occurrence is thrice, but the magnitude is low. The study results will help in persuading the rainfall risks with effective use of water resources which can increase crop productivity and likely to manage natural resources for sustainability at HAT zone of Andhra Pradesh.
Studies on the variation in concentrations of respirable suspended particulate matter (PM10), NO2 and SO2 in and around Nagpur
Authors: Saini Divyanshu , Lataye Dilip , Motghare VidyanandM
Published: July 2023

The objective of this study is to assess the long-term variation in concentrations of Respirable suspended particulate matter (PM10), sulphur dioxide (SO2) and nitrogen dioxide (NO2) in the ambient air of Nagpur (India) during 2011-2018. The pollution data during the above period at three locations, viz., residential (Station-I), industrial (Station-II), and commercial location (Station-III) has been analyzed. The highest daily average concentration of PM10 at residential, industrial, and commercial locations was found 154 microgm/m3, 199 microgm/m3, and 153 microgm/m3, whereas, the average annual concentration at these locations was found 101.87 microgm/m3, 115.37 microgm/m3 and 98.75 microgm/m3, respectively during the above period. The highest daily average concentration of SO2 was found at 18 microgm/m3, 22 microgm/m3 and 19 microgm/m3 and the average annual concentration was 13.25 microgm/m3, 13.5 microgm/m3, 13 microgm/m3 at respective locations. And the highest daily average concentration of NO2 was found 77 microgm/m3, 60 microgm/m3, 60 microgm/m3 and the annual average concentration was 44.125 microgm/m3, 41.825 microgm/m3 and 40.25 microgm/m3 at the respective locations. The exceedance factors for PM10 varied from 'moderate to high' at the residential and commercial locations and from 'high to moderate' at the industrial location. Planetary boundary layer height (PBLH) and ventilation coefficient (VC) were also estimated over the region for 2011-2018. The maximum PBLH and VC observed during the study period was in the summer season, and the minimum was in the post-monsoon season. Annual and Seasonal Air quality index analysis shows that the level of pollution was in the range of SATIFACTORY to MODERATE. A study of seasonal analysis of PM10, SO2 and NO2 showed that the higher concentrations were found in winter relative to summer with the least concentration occurring during the monsoon season. A regression analysis was performed to check PM10's interdependence with other contaminants. A positive association was found between PM10 and SO2 for all seasons. A negative association was found between PM10 and NO2 in summer for all the stations and winter at Station-I and Station-III. Similarly, the correlation between PM10 and meteorological parameters such as wind speed and temperature was found to be negative whereas it was positive for relative humidity.
SISTEM PENGUKURAN BENTUK KAKI MANUSIA PADA TES FISIK KEPOLISIAN MENGGUNAKAN TEKNIK SIMPLEKS BERBASIS (IOT) INTERNET OF THINGS
Authors: Aldila Tika , Setiawan Dedi , Yakub Suardi
Published: July 2023

Laboratorium didefinisikan sebagai tempat bekerja yaitu bangunan, gedung atau ruangan yang dilengkapi peralatan (instrumen) untuk melakukan pekerjaan ilmiah seperti riset, demonstrasi dan diskusi. Di kepolisian RI laboratorium digunakan salah satunya untuk pelaksanaan ujian tes masuk kepolisia. salah satunya ialah tes kaki manusia. Pada pengujian tes kaki manusia, terdapat tiga jenis ukuran kaki yaitu kaki normal, kaki o, dan kaki x. pengujian kaki tersebut masih dilakukan secara manual, dengan menggunakan media bahan kayu, yang memiliki lengkungan dengan satuan ukur cm untuk pengukurannya, hal tersebut terkesan lama, dan tidak efisiensi, bisa terjadi kelalaian penguji pada saat pengukuran.Melihat permasalahan tersebut, pembuatan sistem alat ukur bentuk kaki manusia pada tes kepolisian menggunakan teknik simpleks berbasis internet of things (IOT) akan membantu meringankan pekerjaan operator atau pekerja saat bertugas dalam pelaksanaan tes ujian, dengan sistem yang user friendly dapat diatur atau dikonfigurasi melalui sistem digitalisasi untuk pengoperasiannya. Hasil dari penelitian ini mampu mengatasi permasalahan dalam pengoperasiannya yaitu dapat mengukur bentuk kaki manusia pada tes kepolisian secara otomatis dan efisien sehingga operator atau penguji dapat bekerja lebih baik.
PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING UNTUK MERAMALKAN ANGKA PENGANGGURAN
Authors: Dari Lisa Wulan , Syah Arridha Zikrah , Sembiring Muhammad Ardiansyah
Published: July 2023

Jumlah pengangguran yang tinggi dapat menghambat proses pembangunan ekonomi, sehingga diperlukan sistem peramalan untuk mengetahui jumlah pengangguran di Asahan yang berpengaruh terhadap kebijakan pemerintah dalam pengambilan keputusan sebelum terjadinya peningkatan jumlah pengangguran. Peramalan pengangguran ini berdasarkan data aktual dalam kurun waktu 12 tahun menggunakan metode Double Exponential Smoothing (DES). Metode akurasi peramalan yang digunakan dalam peramalan pengangguran ini adalah Mean Absolute Percentage Error (MAPE) untuk menghitung persentase error pada nilai alpha. Hasil peramalan terbaik untuk data pengangguran terdapat pada nilai alpha 0,4 nilai MAPE sebesar 6,22%, sehingga jumlahÂ  pengangguranÂ  sebesar 6,22% untuk tahun 2021 dengan total pengangguran 22909,72 hasil perhitungan sebesar 22909,72 Â± 6.22% = 22909,72 Â± 1424,98. Dengan range prediksi 21484,74 â€“ 24334,7.
JARINGAN SYARAF TIRUAN HOPFIELD DALAM MENCARI RUTE TERPENDEK UNTUK PENDISTRIBUSIAN BARANG
Authors: Wahyuni Meri Sri , Affandi Egi , Setiawan Dedi
Published: July 2023

Efisiensi waktu dalam pendistribusi barang sangat diperhitungkan dalam sebuah strategi pemasaran dalam perusahaan. Supaya mendapatkan waktu pendistribusian yang efisien, maka harus tahu rute yang tepat untuk melaksanakan pendistribusian tersebut, jika salah memilih rute, maka akan memakan waktu yang panjang untuk melakukan distribusi barang. Hal ini dapat merugikan bagi si pemilik usaha. Oleh sebab itu diperlukan sebuah sistem yang dapat menganalisa dan bisa mengatasi masalah tersebut, yaitu system yang dapat mencari rute terpendek. Sistem ini nantinya memungkinkan pendistribusi dapat memilih rute jalan terdekat. Dalam hal ini jaringan syaraf tiruan akan memberikan solusi dalam menentukan jarak terpendek untuk pendistribusian barang melalui algoritma Hopfield
PENGEMBANGAN WIRAUSAHA MAHASISWA BERBASIS TEKNOLOGI (TECHNOPRENEURSHIP) WEB DAN MOBILE (Studi Kasus Pada Prodi Teknik Informatika Universitas Asahan)
Authors: Ramadhan Muhammad Sabir
Published: July 2023

Penelitian ini bertujuan menjelaskan kegiatan wirausaha mahasiswa berbasis teknologi (technopreneurship), upaya meningkatkan minat mahasiswa dan lulusan perguruan tinggi menjadi pelaku technopreneurship serta menyusun dokumen arah pengembangan technopreneurship di Prodi Teknik Informatika Universitas Asahan secara khusus dan Kabupaten Asahan secara keseluruahan. Penelitian studi kasus ini menggunakan pendekatan kualitatif deskriptif, pengumpulan data melalui observasi, wawancara, kuisioner dan dokumentasi, berlokasi di 2 kecamatan di Kabupaten Asahan. Penelitian ini menyimpulkan; Rendahnya daya saing produk UMKM Kabupaten Asahan disebabkan masih rendahnya penguasaan teknologi di kalangan pelaku usaha. Bila ada inovasi teknologi sifatnya temporer, hanya untuk keperluan pameran/eksebisi di tingkat regional dan nasional, bukan untuk peningkatan mutu produk, diversifikasi dan efisiensi dalam jangka pendek maupun peningkatan produksi secara berkelanjutan, peningkatan omzet, laba serta perluasan usaha dalam jangka panjang. Pengembangan technopreneurship kemitraan Prodi Teknik Informatika Universitas Asahan (delivery order) merupakan best practice untuk memperluas dan memperkuat technopreneur unggul di daerah. Minat mahasiswa berwirausaha dapat ditingkatkan melalui pembelajaran berbasis riset dan berpusat pada mahasiswa.Kata Kunci: UMKM, technopreneurship, wirausaha, teknologi web, mobile
PENERAPAN METODE NAIVE BAYES UNTUK MEMPREDIKSI PENYAKIT JANTUNG
Authors: Atthohiroh Atthohiroh , Ayu Rama , Maharani Sri
Published: July 2023

The heart is one of the human organs that has an important function to circulate blood throughout the body. In caring for the human heart, one must know how to take care of the heart and check the health conditions of the heart regularly and do it early in order to avoid dangerous diseases that attack the heart. In this study, a heart disease diagnostic examination was carried out using machine learning with the Naïve Bayes method. The criteria used in predicting heart disease with Naïve Bayes in this study were gender, BP (pneumonia), Cholesterol (cholesterol), and Maxhr. The purpose of using Naive Bayes in this study is to predict using simple probabilities based on the application of Bayes' rules. In this study, Naive Bayes produced a Precision value for heart disease of 87% and for those without 75%, a recall value for those with heart disease 81% and those without heart disease 82%, support values for those with heart disease 84% and those who do not. 78%.Keywords: machine learning, naïve bayes, jantung  Jantung merupakan salah satu organ manusia yang memiliki fungsi penting untuk mengalirkan darah keseluruh tubuh. Dalam merawat jantung manusia harus mengetahui cara menjaga jantung dan memeriksa kondisi kesehatan jantung secara berkala dan dilakukan sejak dini guna menghindari penyakit berbahaya menyerang jantung. Pada penelitian ini dilakukan pemeriksaan diagnosa penyakt jantung menggunakan machine learning dengan metode Naïve Bayes. Kriteria yang digunakan dalam memprediksi penyakit jantung dengan Naïve Bayes dalam penelitian ini yaitu gender(jenis kelamin), BP(radang paru-paru), Cholesterol(kolestrol), dan Maxhr. Tujuannya penggunaan Naive bayes dalam penelitian ini untuk memprediksi menggunakan probabilitas sederhana berdasarkan pada penerapan aturan bayes. Pada penelitian ini naive Bayes menghasilkan nilai Precision untuk penyakit jantung 87% dan untuk yang tidak 75%, nilai recall untuk yang terkena penyakit jantung 81% dan yang tidak terkena penyakit jantung 82%, nilai support untuk yang terkena penyakit jantung 84% dan yang tidak 78% . Kata Kunci: machine learning, naïve bayes, jantung
Manifestaciones, diagnóstico y tratamiento en el trastorno del espectro autista
Authors: Rotili Paola , Durante Amanda , Hoffmann Wagner Lucas
Published: July 2023

La ampliación del conocimiento científico sobre el autismo puede ser identificada por el aumento en la producción de investigaciones sobre este trastorno en las últimas décadas, implicando actualizaciones recientes de su clasificación, comprensión e intervención. Las características multifactoriales que envuelven el Trastorno del Espectro Autista (TEA) hacen de él un trastorno muy complejo. En función de eso requiere un equipo multidisciplinario, compuesto por diversos profesionales de varias áreas y que estos junto a los responsables del niño con TEA, los cuales de manera coordinada realizan la detección, diagnóstico y la intervención que será realizado de manera pronta y optimizada, ya que es de conocimiento que el diagnóstico con intervención temprana, trae mejoras en el desarrollo cognitivo del niño, aparte de evitar que diversos comportamientos inherentes al trastorno se desarrollen posteriormente. El objetivo de este artículo es presentar una revisión bibliográfica sobre el trastorno del espectro autista, enfatizando los factores epidemiológicos y las manifestaciones clínicas, su diagnóstico y tratamiento.
Estudio de parámetros físicos a las aguas del arroyo San Lorenzo en tres puntos de referencia
Authors: Maciel Godoy Cristina
Published: July 2023

Debe señalarse que en este trabajo se ha realizado una descripción breve de los parámetros físicos resultados de una  investigación en el área de la calidad de aguas superficiales en el arroyo San Lorenzo ubicado dentro del departamento Central del Paraguay. Los cursos de agua son receptores de residuos producidos por actividades humanas, esto puede significar un peligro para todas las formas de vida, que entran en contacto con los recursos hídricos. Inicialmente se procedió a una revisión bibliográfica previa para delimitar los parámetros físicos a ser tenidos en cuenta, el objetivo principal es describir el alcance referente a la calidad de aguas dulces superficiales en función a sus parámetros físicos y variabilidad que estos mismos registran a lo largo del cauce en los puntos tomados como referencia para el análisis y posterior descripción, para ello se consideró una metodología eminentemente cuantitativa dado que se ha trabajado numéricamente con los datos obtenidos de este objeto de estudio, el hallazgo más significativo es el elevado valor que presenta la varianza en la conductividad, lo que significa que los valores están dispersos o mejor dicho son muy diferentes entre uno y otro punto muestral.
Embarazo precoz en adolescentes que acuden al Hospital Distrital de Ñemby del año 2020
Authors: Del Padre Laura , Peralta Olga , Baéz Michel
Published: July 2023

El trabajo tiene como tema de investigación el Embarazo Precoz, considerado un problema social. El objetivo de la investigación es determinar los casos registrados de embarazo precoz, en adolescentes de 15 a 18 años, que acuden al Hospital Distrital de Ñemby “Nuestra Señora de Lourdes” en los meses del año 2020. Tiene un enfoque cuantitativo,  diseño de la investigación es no experimental. La población de estudio fue de 169, del cual se tomó como muestra a  31 personas del sexo femenino. La técnica de recolección de datos fue a través de una encuesta, y como instrumento  un cuestionario, cuyos datos recogidos fueron analizados en tablas y gráficos estadísticos. Los principales hallazgos,  demuestran que solo el 39% de las encuestadas completó su escolaridad, el 39% de ellas afirmaron que su deserción escolar se debió al cuidado del neonato, el 36% por la escasez de dinero, el 22% para buscar trabajo y solo el  3% afirmó continuar con sus estudios. El 56% de las encuestadas afirmaron que su fuente de ingreso es su familia,  mientras que el 41% afirma que es su pareja y solo el 3% obtiene sus ingresos con trabajo. El 94% de ellas refirió no haber participado de algún programa del Ministerio de Salud Pública y Bienestar Social, solo un 6% de ellas afirmaron su participación. Se recomienda fomentar los programas de prevención ofrecidos a las adolescentes, que acuden al Hospital Distrital de Ñemby “Nuestra Señora de Lourdes”
lentos pero valiosos pasos de la investigación en Paraguay
Authors: Génez Báez Fredy Francisco
Published: July 2023

Si bien la ciencia por principio tiende a ser uniforme y universal, no es menos cierto que los pueblos han insertado su impronta a cada avance del conocimiento logrado a lo largo de la humanidad, con lo cual, los adelantos científicos tienen un gran componente cultural. Así, es posible identificar una ciencia paraguaya con una gran impronta en las ciencias naturales, que se ha constituido en su foco central tradicional, desarrollándose históricamente fuera de las universidades  y gracias al trabajo individual de investigadores locales y extranjeros (Masi et al., 2016). Teniendo en cuenta la limitada cantidad de conocimientos científicos generados en nuestro país, así como el impacto de estos, es posible manifestar con responsabilidad que la ciencia en Paraguay está en etapa incipiente
CAD2Render: A Synthetic Data Generator for Training Object Detection and Pose Estimation Models in Industrial Environments.
Authors: Moonen Steven
Published: July 2023

Computer vision systems become more wide spread in the manufacturing industry for automating tasks. As these vision systems use more and more machine learning opposed to the classic vision algorithms, streamlining the process of creating the training datasets become more important. Creating large labeled datasets is a tedious and time consuming process that makes it expensive. Especially in a low-volume high-variance manufacturing environment. To reduce the costs of creating training datasets we introduce CAD2Render, a GPUaccelerated synthetic data generator based on the Unity High Definition Render Pipeline
One-class Damage Detector Using Deeper Fully Convolutional Data Descriptions for Civil Application
Authors: Yasuno Takato , Okano Masahiro , Fujii Junichiro
Published: July 2023

Infrastructure managers must maintain high standards to ensure user satisfaction during the lifecycle of infrastructures. Surveillance cameras and visual inspections have enabled progress in automating the detection of anomalous features and assessing the occurrence of deterioration. However, collecting damage data is typically time consuming and requires repeated inspections. The one-class damage detection approach has an advantage in that normal images can be used to optimize model parameters. Additionally, visual evaluation of heatmaps enables us to understand localized anomalous features. The authors highlight damage vision applications utilized in the robust property and localized damage explainability. First, we propose a civil-purpose application for automating one-class damage detection reproducing a Fully Convolutional Data Description (FCDD) as a baseline model. We have obtained accurate and explainable results demonstrating experimental studies on concrete damage and steel corrosion in civil engineering. Additionally, to develop a more robust application, we applied our method to another outdoor domain that contains complex and noisy backgrounds using natural disaster datasets collected using various devices. Furthermore, we propose a valuable solution of deeper FCDDs focusing on other powerful backbones to improve the performance of damage detection and implement ablation studies on disaster datasets. The key results indicate that the deeper FCDDs outperformed the baseline FCDD on datasets representing natural disaster damage caused by hurricanes, typhoons, earthquakes, and fourevent disasters.
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps
Authors: Sivashangaran Shathushan , Eskandarian Azim
Published: July 2023

Autonomous Ground Vehicles (AGVs) are essential tools for a wide range of applications stemming from their ability to operate in hazardous environments with minimal human operator input. Effective motion planning is paramount for successful operation of AGVs. Conventional motion planning algorithms are dependent on prior knowledge of environment characteristics and offer limited utility in information poor, dynamically altering environments such as areas where emergency hazards like fire and earthquake occur, and unexplored subterranean environments such as tunnels and lava tubes on Mars. We propose a Deep Reinforcement Learning (DRL) framework for intelligent AGV exploration without a-priori maps utilizing Actor-Critic DRL algorithms to learn policies in continuous and high-dimensional action spaces directly from raw sensor data. The DRL architecture comprises feedforward neural networks for the critic and actor representations in which the actor network strategizes linear and angular velocity control actions given current state inputs, that are evaluated by the critic network which learns and estimates Q-values to maximize an accumulated reward. Three off-policy DRL algorithms, DDPG, TD3 and SAC, are trained and compared in two environments of varying complexity, and further evaluated in a third with no prior training or knowledge of map characteristics. The agent is shown to learn optimal policies at the end of each training period to chart quick, collision-free exploration trajectories, and is extensible, capable of adapting to an unknown environment without changes to network architecture or hyperparameters. The best algorithm is further evaluated in a realistic 3D environment.
Assistance for Registration of Halal Certification to MSMEs Products in Banten Province
Authors: Riany Eris Fitria , Annazhifah Nurul , Najah Zulfatun , Wulandari Puji , Bahtiar Rusbana Tubagus
Published: July 2023

Consumer’s awareness of the importance of halal products has increased in Indonesia. However, there are still many producers in Indonesia, especially MSMEs in Banten province who have not applied for halal certification due to the lack of their knowledge about the urgency of halal certification, and the process for obtaining halal certificate which are considered difficult. This service activity involved selected MSMEs in Banten province and the academist at Department of Food Technology, Sultan Ageng Tirtayasa University, in order to provide a good understanding of the benefits of halal certification and assist them during registration process until they get halal certificate for their products. This carried out in 3 stages, there were lectures and discussion about the process of halal certification, preparation of halal manuals, and halal registration. The results of this activity were the issuance of halal certificates for 8 selected MSMEs in Banten province which are valid for the next 4 years.
Ereğli/Konya Bölgesindeki Tarım Arazilerinin Evapotranspirasyon Verilerinin Uydu Görüntüleriyle İncelenmesi
Authors: Yamaç Sevim Seda
Published: July 2023

Son yıllarda, iklim değişikliği ve nüfus artışı gibi faktörler nedeniyle su kaynaklarının azalması tarımsal su yönetimini önemli bir konu haline getirmiştir. Bu sebeple, tarımsal su yönetimi için uydu destekli sistemlerin kullanımı giderek yaygınlaşmaktadır. Bu sistemler, geniş alanlarda su yönetimini yapmak için maliyet ve zaman avantajları sunmaktadır. Tarımsal su yönetimi için en önemli parametrelerden biri, bitkilerin topraktan su çekerek buharlaştırması ve atmosfere geri salması olan evapotranspirasyondur. Bu nedenle, Konya Ereğli ilçesinin 2000-2021 yılları arasındaki evapotranspirasyon verileri MOD16 uydu ürünleri kullanılarak incelenmiştir. Ayrıca, Sentinel 2 uydu görüntüleri kullanılarak bölgenin 2016-2022 yılları arasındaki NDVI verileri analiz edilerek tarım arazilerinin genel durumu gözlemlenmiştir. Bu analizlerin yanı sıra, 1981-2021 yılları arasındaki yağış rejimi de incelenmiştir. Elde edilen sonuçlar, yağış rejiminde genel bir artış trendi olduğunu göstermiştir ve bu artış trendi Gerçek ET verisinde de gözlemlenmiştir. NDVI verilerinde ise tarımsal faaliyetlerin arttığı Temmuz ve Ağustos aylarında en yüksek seviyelere ulaşıldığı görülmüştür. Bu veriler, tarımsal su yönetimi için uydu destekli sistemlerin önemini vurgulamaktadır ve tarımsal faaliyetlerin su kaynaklarına duyarlı bir şekilde yönetilmesinin önemini ortaya koymaktadır.
The impact of yogic practices on perception of stress and sleep among medical students amid COVID-19 pandemic
Authors: Dwivedi Deepti , Kaur Nimarpreet , Shukla Saurabh , Tripathi Saurabh
Published: July 2023

Background: Medical undergraduates struggled to cope up with undue stress resulting in disturbed sleep during COVID-19 pandemic. Stress had affected not only the mental or psychological health but also affected the whole body systems including the sleep rhythm and quality. This study was undertaken focusing on the fact that yogic practices induce changes in stress level and sleep.

Aims and Objectives: The aim of the study was to measure and compare the perceived stress and sleep quality among the medical undergraduate who discontinued and those who continued yogic practices in follow-up.

Materials and Methods: This online longitudinal interventional study was conducted from November 2020 to May 2021. The study was conducted in three stages: Baseline (before intervention). after 6 weeks of yogic intervention, and after 3 months (for follow-up). All medical students of 18–30 years were enrolled (Total 600 students). Fifty-one undergraduate with prolonged illness, spine issues, any physiological issue, trained athletes, and trained yoga persons were excluded from the study. Total 549 medical students were falling in our inclusion criteria.

Results: Significant level of stress response is a high predictor of poor sleep because of HPA mediated hormonal and sympathetic system activation. High level of stress is a significant predictor of poor quality of sleep. This causes persistent production of cortisol and epinephrine. Intervention of yogic practice helps in balancing the mind and body, thus improving the quality of life.

Conclusion: The authors findings suggest that the undergraduates are in favor of practicing yoga as it helps them to cope up with the academic stress. It had also improved the quality of sleep among them.
A method of generating mutated Windows malware to evade ensemble learning
Authors: Pham Van Hau , To Trong Nghia , Duy Phan The
Published: July 2023

Tóm tắt— Thời gian gần đây, việc ứng dụng học máy vào lĩnh vực an ninh mạng, đặc biệt là trong phát hiện và ngăn chặn mã độc được chú trọng và quan tâm sâu sắc. Nhiều công trình nghiên cứu về phân tích phần mềm độc hại đã được đề xuất với những kết quả hứa hẹn cho các ứng dụng thực tế. Trong những công trình như vậy, việc sử dụng mạng sinh đối kháng (Generative Adversarial Networks) hoặc học tăng cường (Reinforcement Learning) có thể giúp các kẻ xấu tạo ra phần mềm độc hại đột biến trốn tránh các phần mềm chống vi-rút. Trong nghiên cứu này, chúng tôi đề xuất một hệ thống đột biến chống lại các trình phát hiện mã độc dựa trên học tổng hợp bằng cách sử dụng kết hợp mô hình mạng sinh đối kháng và học tăng cường để khắc phục hạn chế của mô hình MalGAN. Cụ thể, chúng tôi phát triển mô hình FeaGAN, mô hình dựa trên MalGAN, bằng cách kết hợp mô hình với mô hình học tăng cường DQEAF (Deep Q-network anti-malware Engines Attacking Framework). Ngoài ra, mô hình FeaGAN sử dụng mô hình học tổng hợp cho trình phát hiện phần mềm độc hại để cải thiện khả năng trốn tránh của các mẫu đối kháng được tạo ra. Kết quả thực nghiệm cho thấy 100% mẫu đột biến được chọn đều đảm bảo định dạng. Ngoài ra, khả năng đảm bảo khả năng thực thi của các biến thể mã độc đạt được những kết quả tiềm năng với tỷ lệ thành công đạt mức ổn định.
Network attack classification framework based on Autoencoder model and online stream analysis technology
Authors: Hung Nguyen Viet , Mai Đang Thi , Tung Ngo Thanh
Published: July 2023

Abstract— To deal with diverse and constantly changing forms of cyberattacks, machine learning methods have been researched and applied extensively in network data processing for positive results in network attack detection. However, machine learning models require extensive computational resources and their application to handle significant real-time data flow monitoring problems still needs improvement. In this paper, we research and propose a network attack detection framework using a 2-stage classification algorithm with an Autoencoder model, integrating online stream processing technology based on Apache Kafka and Spark technology. The results show that the proposed framework has high efficiency in detecting network attacks and faster processing time than traditional data processing technology.
Implementation and evaluation of low-speed speech compression LPC and MELP algorithms
Authors: Phan Duong Phuc , Quynh Chu Thi Ngoc , Ngoc Nguyen Thanh
Published: July 2023

Abstract— Currently, the design of a speech signal compression module that responds to low speed but still ensures signal quality for communication devices is a topic of interest for research. LPC (Linear Prediction Coding) and MELP (Mixed-Excitation Linear Prediction), two common approaches, are extensively researched and used, particularly in the vocoder of radio communication equipment like HF or VHF equipment. Implementing security solutions for these devices are challenging due to the crucial role played by the vocoder in signal processing prior to encryption. The paper first analyzes the two algorithms LPC and MELP and implements them on the current popular hardware technologies ARM and DSP to give an evaluation direction when choosing technology to serve the design of vocoders. There are many different methods of speech quality assessment in this paper, the PESQ method according to the ITU-T P862 standard was used to evaluate the results of the implementation of the proposed algorithms. The results show that the quality of the compression rate reduction of about 2 kbps is still satisfactory, and dedicated DSP technology for better speech quality results is a basis for helping vocoder device developers choose the right hardware technology when designing products.
Proposing the application of a deep learning model to detect the malicious IP address of botnet in the computer network
Authors: Tuan Tong Anh , Cuong Nguyen Ngoc , Anh Nguyen Viet , Long Hoang Viet
Published: July 2023

Abstract— Malware in general and botnets in particular are big threats to cybersecurity. They have many sophisticated methods to bypass security systems to infect computers and perform attacks, sabotage, or spying activities. Botnet detection solutions are always focused on and solved by scientists and cybersecurity specialists. The DGA botnet is a group of common botnet families that share the same mechanism of needing to connect back to the C&C server via DNS to receive commands to operate. Many studies that propose algorithms for detecting and classifying DGA botnets have been proposed and tested with high results. In this study, we approach by using the above solutions to detect malicious IP addresses and botnet malware families. First, we evaluate the efficiency of two deep learning models LA_Bin07 and LA_Mul07 on a new specialized dataset, UTL_DGA22. Next, we extended the experiment with the ISCX-Bot-2014 dataset. The results show that LA_Bin07 and LA_Mul07 models both get high accuracy on the new dataset, with 0.98 and 0.86 correspondingly. Experimenting on the reality dataset also gives positive results, helping network administrators to localize malicious IP addresses for deeper investigation. The proposed solution is effective enough to be applied as a module in cybersecurity solutions such as firewalls, intrusion detection, and prevention systems or unified thread management - UTM.
Constructing a scale for managing high-performance sports organizations using artificial intelligence techniques
Authors: Aseel Hameed Obaid  , Naima Zaidan Khalaf
Published: July 2023

تناولت الدراسة الحالية واحدة من أهم المشاكل التي تعاني منها المنظمات الرياضية عالية الاداء وهي عدم الاستفادة القصوى من تطبيقات تقنيات الذكاء الاصطناعي، فلقد تمثلت مشكلة البحث الأساسية في معرفة أثر تطبيق تقنيات الذكاء الاصطناعي في ادارة المنظمات الرياضية عالية الأداء وما مدى مساهمة تطبيقات تقنيات الذكاء الاصطناعي في تشخيص ومعالجة  المعوقات الادارية والتقنية في اقسام النشاط الرياضي والمدرسي في المديريات العامة للتربية في محافظة بغداد للتوجه نحو الاداء العالي وفي هذا السياق، فلقد تمثل هدف الدراسة الرئيس في بناء مقياس للاطار المفاهيمي لتطبيقات تقنيات الذكاء الاصطناعي في المنظمات الرياضية عالية الاداء -اقسام النشاط الرياضي والمدرسي في المديريات العامة للتربية في محافظة بغداد أنموذجاً. ولغرض تحقيق أهداف الدراسة اتبعت الباحثتان المنهج الوصفي بالأسلوب التحليلي لملامته لطبيعة المشكلة كذلك القيام بدراسة استطلاعيه غير مقننه في اقسام النشاط الرياضي والمدرسي وكانت الاستبانة هي الأداة المستخدمة في ذلك، وتوصلت الدراسة إلى بناء مقياس رصين لتطبيقات تقنيات الذكاء الاصطناعي في المنظمات الرياضية عالية الاداء ومكون من خمس محاور وهي النظم الخبيرة والواقع الافتراضي والوكلاء الاذكياء وتقنيات المعلومات واتمتة العمليات وقد جاء اختيار حجم العينة مساويا للمجتمع لتلام طبيعة البحث، وقد تم اثبات صدق وموثوقية هذا المقياس من خلال الوسائل الإحصائية كمعامل الفا كرو نباخ بمقدار 89,7، لقد احتوت محاور المقياس الخمسة على خمسة وعشرون عبارة، ولقد تراوحت الأهمية النسبية لهذه العبارات ما بين (63-84)%، وكانت اعلى قيمه للأهمية النسبية تبلغ 84% لعباره الثانية من محور النظم الخبيرة وهي (تعمل النظم الخبيرة كخبير استشاري للإدارة العليا في اقسام النشاط الرياضي والمدرسي لتسهم في اتخاذ القرارات الصحيحة)، بينما كانت اقل قيمة للأهمية النسبية لعبارة الأولى من محور الواقع الافتراضي وهي (استخدام الواقع الافتراضي في اقسام النشاط الرياضي والمدرسي يسهم في اكتساب مهارات متنوعة للموظفين ويعمل على تطوير الاداء الاداري والتقني)
The Influence of Audit Opinion, Financial Distress, Company Growth, and Going Concern Opinion on Auditor Switching
Authors: Tampubolon Lambok DR
Published: July 2023

The purpose of this study is to analyze the effect of audit opinion, financial distress, company growth, and going concern opinion on auditor switching in companies listed on the IDX.  In this study using secondary data in the annual reports of manufacturing companies sourced from www.idx.co.id.  The population in this study were 42 companies in the consumer goods sector listed on the Stock Exchange 2017-2019 and the samples obtained were 24 companies.  The sampling method used in this research is purposive sampling method.  The research analysis method used logistic regression analysis.  The results of the analysis in this study indicate that audit opinion, financial distress, company growth and going concern opinion do not have a significant effect on auditor switching.
İşe Tutulma ile İşten Ayrılma Niyeti Arasındaki İlişkide İş Güvencesizliğinin Aracı Rolü: Taksi Şoförleri Üzerinde Bir Araştırma
Authors: TUTAN Adem , KÖKALAN Özgür
Published: July 2023

Günümüzde işletmeler artan rekabet koşullarında küçülme veya birleşme gibi birçok stratejiler geliştirmek zorundadır. Bu stratejiler çalışanların iş güvencesizliğini azaltabilmektedir. İşlerinin devamı ve geleceği konusunda güvensizlik hisseden çalışanların işlerine karşı olan tutumu ve işten ayrılma niyetleri de olumsuz yönde etkilenebilmektedir. Bu çalışma, işe tutulma ile işten ayrılma niyeti arasındaki ilişkide iş güvencesizliğinin aracı rolünün analiz edilmesi amaçlamıştır.. Araştırmanın verileri İstanbul ilinde faaliyet gösteren 361 taksi şoföründen çevirimiçi anket yöntemi ile toplanmıştır. Yapılan analizler sonucunda, işe tutulma düzeylerinin işten ayrılma niyetleri ve iş güvencesizliği üzerinde anlamlı ve negatif bir etkiye neden olduğu, çalışanların iş güvencesizliği düzeylerinin işten ayrılma düzeyleri üzerinde anlamlı ve pozitif bir etkiye neden olduğu görülmüştür. Ayrıca iş güvencesizliğinin, işe tutulma ile işten ayrılma niyeti arasındaki etkileşimde kısmi aracı role sahip olduğu belirlenmiştir. İş gücünün işletmeler için öneminin arttığı günümüzde, işe tutulma ile işten ayrılma niyeti arasındaki ilişkide iş güvencesizliğinin aracı rolünü ortaya koyan herhangi bir çalışmanın olmaması nedeniyle literatürdeki boşluğu dolduracağı düşünülmektedir.
Kemampuan Menulis Paragraf Deskriptif Siswa Kelas V SD Negeri 6 OKU Menggunakan Model Pembelajaran Inquiri Based Learning
Authors: Awalludin Awalludin , Nilawijaya Rita , Anggraini Tri Riya
Published: July 2023

The purpose of this study was to determine the learning of Indonesian with using learning model inquiri Based Learning in Class V SD Negeri 6 OKU, and to investigate the increase in students' ability in writing descriptive paragraphs using learning model inquiri Based Learning. The method used in this study is an action research methods class. Data collection techniques, namely tests and observation techniques, and techniques of analyzing data is done by analyzing test data and observations data. Based on the entire population and sample 25 students, through writing test descriptive paragraphs in the first cycle increased, ie 61.32 during the pre cycle and increased to 74, 64 in the first cycle, and 1, 76 in cycle II. Based on the results of the second cycle all students have reached the standard overall KKM. Based on the result of test can be concluded that the students of Class V SD Negeri 6 OKU were able to write descriptive paragraph by using learning model of Inquiry Based Learning. As for advice to Indonesian teachers in general, it is advisable to try to apply this learning inquiri Based Learning in learning Indonesian.
Création d’un outil de mesure de la littératie concernant la gestion de l’offre et d’évaluation de son impact
Authors: Dostie Jade , Doyon Maurice , Saulais Laure
Published: July 2023

La présente étude s’inscrit dans un processus de développement d’un outil de mesure des connaissances en agroéconomie, plus précisément au sujet de la gestion de l’offre, et ce, au niveau pancanadien. La gestion de l’offre est une politique agricole unique au Canada et dont les effets ne font pas l’unanimité parmi les experts. Puisque les divergences d’opinion concernant la gestion de l’offre ont été portées jusque dans les médias destinés au grand public (éditoriaux, articles d’opinion, etc.), il semble intéressant de mesurer le niveau de connaissance de la population canadienne sur ces principaux éléments. En outre, les consommateurs canadiens manifestent un intérêt croissant vis-à-vis de certains attributs sociaux de leur consommation alimentaire sur lesquels la gestion de l’offre peut avoir un impact indirect – en particulier l’équité, le bien-être animal et l’impact environnemental. Cependant, très peu d’études explorent la connaissance et la compréhension de ces aspects par les consommateurs Nous avons recensé peu de littérature sur le développement d’indicateurs de littératie en agriculture et encore moins en agroéconomie. Cette étude développe dans un premier temps un outil de mesure de la littératie concernant la gestion de l’offre, puis dans un deuxième temps un outil d’évaluation de la perception de la gestion de l’offre par les Canadiens. Les étapes de création des deux outils sont décrites et l’analyse des résultats du prétest de l’outil de mesure de la littératie est présentée et discutée. Le prétest a été complété par 119 répondants, dont 62 évoluant dans le milieu agricole. Les répondants ont en moyenne un score de littératie de 56,4%. L’échantillon étant surreprésenté en ce qui concerne la connaissance du milieu agricole, on estime que ce niveau de littératie relativement faible est plus élevé que celui de la population générale.
Features and prospects for the introduction of mobile technologies in the process of teaching a foreign language in a non-linguistic university
Authors: Nikolaeva Elena Aleksandrovna , Kotliarenko Iuliia Yuryevna
Published: July 2023

This paper discusses the possibilities and prospects for the introduction of mobile learning technologies in the practice of teaching a foreign language to students of non-linguistic universities. The relevance of the study is due to the fact that the use of mobile devices is a natural process in the field of teaching foreign languages, and modern students have organically moved from listening and viewing foreign-language artifacts of mass culture to the purposeful use of mobile devices for learning foreign languages. The introduction of mobile technologies into the practice of learning foreign languages has formed a natural learning environment adapted to the interests of students. This state of affairs suggests that the process of teaching a foreign language using mobile devices should solve a number of serious problems, starting with issues related to the development of a motivation system for students to learn a foreign language, cognitive activity, and ending with the problems of forming a multilingual personality. On the other hand, new generation education standards require the development of IT competencies that allow introducing new formats into the traditional teaching practice, providing interactive support for the learning process and developing students communication skills in accordance with the requirements of the time. In this context, the purpose of the study was to evaluate the possibilities of introducing mobile learning technologies into the practice of teaching a foreign language to students of a non-linguistic university. The paper presents the results of a field study of the level of readiness of foreign language teachers to introduce mobile technologies into the practice of language training for students of non-linguistic universities. The conducted studies have shown that the main feature of the process of introducing mobile technologies into the practice of language training is its spontaneity and disorganization, and the prospects for their active use are limited by the level of mobile competence development among teachers. The results obtained can serve as a basis for further research into the problems of achieving the level of compliance of the IT competencies of foreign language teachers with the social orders of modern society.
Strategi Pembangunan Spiritual Nabi Muhammad pada Masa Awal Madinah
Authors: Kusuma Haren Niken
Published: July 2023

Nabi Muhammad menjadikan masyarakat Madinah memiliki satu nilai Islam dari latar belakang perbedaan antarkelompok dalam terbentuknya masyarakat. Pemberdayaan spiritual menjadi upaya mendasar yang dilakukan oleh nabi dengan menerapkan strategi yang tepat. Pada artikel ini bertujuan untuk mendeskripsikan strategi pemberdayaan spiritual yang dilakukan oleh Nabi Muhammad pada masa awal Madinah. Teori yang digunakan berdasarkan strategi pengembangan masyarakat menurut Adi dan bentuk tahapan pemberdayaan menurut Suharto serta jenis pemberdayaan yang dipaparkan oleh Mardikanto dan Soebianto yang kemudian diklasifikasikan berdasarkan cara, bentuk, dan sasaran strategi pemberdayaan. Metode yang digunakan berupa kualitatif pustaka sejarah agar dapat menguraikan peristiwa sejarah Nabi Muhammad dari data yang didapatkan. Hasil kajian menunjukkan bahwa strategi yang diterapkan oleh Nabi Muhammad pada bidang spiritual berupa bentuk pemungkinan dan penguatan dikarenakan masyarakat yang masih pada tahap awal pembangunan agar dapat menerapkan satu nilai Islam secara konsisten. Dilakukan dengan cara direktif dalam proses penentuan strategi namun tetap bersifat nondirektif dalam penerapan strateginya, atau dalam satu strategi nabi mengkombinasikan dua pendekatan yakni strategi direktif-nondirektif. Serta sasaran yang bersifat mezzo dan makro, dengan adanya kedudukan yang dimiliki oleh nabi sebagai pemimpin yang telah dipercaya oleh masyarakat. Dari strategi tersebut, dapat memecahkan permasalahan yang dimiliki masyarakat terutama dalam bidang spiritual.
ALGEBRAIC CHARACTERISTICS OF THE CRITERION OF COMPLETENESS OF A CLASS OF ALGEBRAIC SYSTEMS
Authors: Kasatova A. , Kabidenov A. , Bekenov M.
Published: July 2023

In many sources on model theory, in addition to the proven properties about classes of algebraic systems, the characteristics of these properties are given in algebraic terms, that is, they show the nature of these properties from the perspective of universal algebra. For example, the class of quasi-varieties or varieties is defined using model-theoretic concepts, fulfillment of quasi-identities or identities, and in algebraic concepts of closedness with respect to direct products, ultraproducts, fulfillment of locality, closedness with respect to homomorphisms. H.J. Keisler gave an algebraic characterization of the criterion for the axiomatizability of a class of algebraic systems, using the closure of the class under the ultraproduct and isomorphism of algebraic systems, as well as the closure under ultrapowers to complement the class. H.J. Keisler, however, does not give any algebraic characterization of the criterion for completeness of a class of algebraic systems.In this article, an algebraic characterization of the completeness criterion for a class of algebraic systems is obtained. For comparison, it is not possible to give an algebraic description of the criterion for the model completeness of a class, in terms used in the article. This shows that the algebraic nature of complete and model complete classes is somewhat different.
MATHEMATICAL MODELING OF SARS-COV-2 PARTICLES’ PROPAGATION DURING HUMAN REFLEXES
Authors: Sagandyk A. T. , Issakhov A. A.
Published: July 2023

An unknown virus, which was detected in Wuhan city in 2019, had changed fate of the world immediately causing an economic loss, decrease in total population and etc. A penetration of coronavirus contaminated particles to a human cell is able to cause an overproduction of cytokines and antibodies. This process gives a rise to fatal cases. Hence, because of SARS-CoV-2’s pathogenicity, severity and unexpectedness, effective safety measures should be implemented. Along with safe social distancing and wearing a mask, a presence of air conditioning, ventilation system and open windows can reduce the coronavirus propagation in enclosed spaces. The present article focuses on the modeling of coronavirus particles’ propagation during human respiratory reflexes within a constructed three-dimensional confined space with inlet and outlet boundary conditions. Momentum and continuity equations, k-ε turbulence model and Lagrangian dispersion model were utilized to solve the problem. SIMPLE is a main method to solve all governing equations. The primary objectives of this work are to demonstrate the efficiency of air conditioning and open windows in preventing the spread of viruses and to examine particle behavior in the computational domain.