bluuebunny/crossref_metadata_2025 huggingface dataset:
БЎЛАЖАК ЎҚИТУВЧИЛАРДА ОИЛА, МАҲАЛЛА ВА МАКТАБ ҲАМКОРЛИГИНИ АМАЛГА ОШИРИШНИНГ АФЗАЛЛИКЛАРИ
Authors: Салимов Акром
Published: April 2024

ушбу мақолада бўлажак ўқитувчиларда оила, маҳалла  ва мактабнинг ҳамкорлиги муҳим аҳамиятга эга эканлигига алоҳида эътибор қаратилган. Ҳар қандай давлатнинг шаклланишида оила, маҳалла  ва мактаб тизимли механизмини тўғри ташкил этилиши давлат ва жамиятни инқироздан олиб чиқиши масалаларига алоҳида урғу берилган. Бўлажак ўқитувчиларга оила, маҳалла ва мактаб ҳамкорлигининг афзалликлари ўринли тушунтирилган  таклифлар ва тавсиялар берилган. Рақамли дунёни тўғри ва ақл билан бошқаришда,  инсон фаолиятининг барча соҳаларида аввало оила, маҳалла ва мактаб энг муҳим омил эканлиги юзасидан фикрлар билдирилган.
ЁШ ТЕННИСЧИЛАРНИНГ ЖИСМОНИЙ ТАЙЁРГАРЛИГИНИ РИВОЖЛАНТИРИШДА ҲАРАКАТЛИ ЎЙИНЛАРНИНГ АҲАМИЯТИ
Authors: Ахмедова Нафиса , Азаматов Абдулло , Лутфуллина Румия
Published: April 2024

Мақолада стол тенниси билан шуғулланадиган спортчиларнинг жисмоний тайёргарлигини ривожлантиришда ҳаракатли ўйинлардан фойдаланилган. Ёш теннисчиларни жисмоний тайёргарлигини назорат тестлари орыали текширилган. Тадқиқотдан олдин ва кейин кузатувлар олиб борилган. Ёш теннисчиларда турли хил ҳаракатли ўйинларни қўллаш орқали жисмоний тайёргарлиги ошганлигини кўриш мумкин.
IJTIMOIY PEDAGOGIK FAOLIYAT VA UNING ASOSIY FUNKSIYALARI
Authors: Amonov Mirjon
Published: April 2024

Mazkur maqolada ijtimoiy pedagogik faoliyatning  diagnostik, tashkiliy, prognostik, tashkiliy-kommunikativ, xavfsizlik va himoya, vositachilik, ijtimoiy-terapevtik, tuzatish kabi funksiyalari izohlangan. Ijtimoiy-pedagogik faoliyat ob'ektining ko'p qirraliligi ekanligi, uning integrativ tabiati ko'rib chiqilgan, ijtimoiy o'qituvchining kasbiy faoliyatining o'ziga xos xususiyatlari aniqlangan.
TALABALARNING IJODKORLIGINI RIVOJLANTIRISHDA MUSTAQIL TA’LIMNING O’RNI VA AHAMIYATI
Authors: Sharipov Habibullo
Published: April 2024

Ushbu maqolada muallif tomonidan  hozirgi kunda oliy ta’lim muassasalari talabalarining mustaqil ta’limini tashkil etishdagi pedagogik imkoniyatlarni takomillashtirish uchun olib borilayotgan ishlar hamda ushbu ishlardagi kamchiliklar hozirgi kun muammosi ekanligi haqida fiklar yuritilgan
BOʻLAJAK OʻQITUVCHILARNING KREATIV TAFAKKURINI LOYIHAGA ASOSLANGAN OʻQITISH VOSITASIDA RIVOJLANTIRISH MODELI
Authors: Sulaymanova Dildora , Giyasova Shaxnoza
Published: April 2024

Ushbu maqolada model va modellashtirish asosida oʻquv jarayonini qanday tashkil etish, uning qaysi komponentlardan iborat boʻlishi, oʻzaro aloqadorligining qay tarzda kechishi, natijalarni avvaldan qanaqa imitatsiya qilish mumkinligi kabi savollarga javob olish mumkinligi nuqtayi nazaridan qaraladi. Belgilangan vazifalar yechimiga erishish uchun toʻrtta, ya’ni maqsadni belgilash, konseptual, loyihalash va kreativ jarayon, diagnostik komponentlardan tarkib topgan boʻlajak oʻqituvchilarning kreativ tafakkurini loyihaga asoslangan oʻqitish vositasida rivojlantirish modeli loyihalashtiriladi hamda tarkibiy qismlarining oʻzaro bogʻliqlikda uygʻun boʻlishi dalillanadi.
Strategi Pemasaran dalam Meningkatkan Daya Saing Usaha Keripik Usus Mardha Desa Badrain Kecamatan Narmada Kabupaten Lombok Barat
Authors: Ida Mawadah  , Zaenudin Mansyur  , Muh. Azkar
Published: April 2024

The background of this research is the existence of sharp competition between companies, both because of the increasing number of competitors, increasing product volume and rapidly increasing technological developments. This forces companies to pay attention and know what kind of marketing strategy is implemented by the company. The focus is this study was to describe the implementation of the marketing strategy of the intestine Mardha Chips Business in increasing competitiveness and the impact of the marketing strategy implementation by the intestine Mardha Chips Business. This study used qualitative descriptive type approach. Data collection methods used were observation, interview and documentation methods. The results of this study indicate that (1) Mardha Intenstinal Chips Business used a good marketing strategy, namely by conducting market segmentation, target market, market position and marketing mix which includes product strategy, price strategy, location and distribution strategy, and promotion strategy; (2) The marketing strategy implemented by Mardha intestine Chips Business has had positive impacts including increasing sales, adding value to the family economy, prodiving satisfaction to consumers with quality product and affordable prices and expanding market share.
DDoS Attack Detection in SDN-Based Instrumented Ad Hoc Networks
Authors:   Khoja Akhmet Yassawi Kazakh-Turkish International University, Amanov A.N. , Isakov D.S. ,   Khoja Akhmet Yassawi Kazakh-Turkish International University
Published: April 2024

The physical characteristics of today's urban intersection structures and the traffic flows caused by unplanned road intersections lead to many negative effects such as time/cash loss, stress, increased fuel consumption, and more. For this reason, many studies are being conducted on traffic management systems, an application of smart cities, in both academic and commercial circles. In recent years, it has been observed that the VANET (Vehicular Ad Hoc Networks) architecture, which easily enables communication between vehicles or with devices on the side of the field, thus transporting relevant traffic data to the center, is frequently used in these studies. When Software Defined Networking emerged as a new technology, it brought many advantages such as high availability, scalability, and performance, but also introduced new security vulnerabilities targeted by attackers. This research primarily focuses on a resource-based detection approach by combining the powers of Software Defined Networking and s-Flow-RT technology against Distributed Denial of Service Attacks. In the simulation study conducted within the scope of this work, an SDN (Software Defined Networking)-based DDoS (Distributed Denial of Service) attack was carried out, and changes in data before and after the attack were examined. Traffic for the DDoS attack was generated with the Hping3 application. The RYU controller (a component-based software-defined networking framework) was selected as the software-defined network controller to create software-defined networks, and the Mininet emulator was used. A traditional computer network's Ubuntu virtual machine was used to carry out the attack in the scope of the work.
Development of local knowledge cube of knowledge management system
Authors:   Almaty Management University, Ramazanov E.T. , Sibanbaeva S.E. ,   Almaty Management University, Koroleva N.V. ,   Almaty Management University
Published: April 2024

The article presents the results of a study on the development of a knowledge management system in an enterprise based on the concept of knowledge management. Considered guesses on the functional scheme in the concept of the system. A scheme of the system is proposed by analogy with a local OLAP cube. A heuristic algorithm for detecting knowledge in data is constructed. A heuristic algorithm for detecting knowledge in data is constructed. A mathematical description of the algorithm based on the methods of first-order logic, the production model of knowledge representation and methods of knowledge discovery in data and intellectual analysis is given. Based on previous studies on the development of methods for extracting knowledge from data, a combined method is proposed that, when processing tables, forms a knowledge base. The inference engine checks the statement (hypothesis) in the received request from the request source. The algorithm is written in Python.
Along the path of the great Kaprekar: A-function, repunits and their properties
Authors:   Republican Physics and Mathematics School, Zharbolov A.
Published: April 2024

Following the famous Indian mathematician D. Kaprekar, in the paper[5], the author presented a new method for obtaining integers ????(????) = ⅑ (???? − ????(????)) where S(n) is the sum of digits of the number n In decimal notation. This A-function turned out to be related to a remarkable class of numbers the class of integers Rn repunit. In the paper, new properties are found Rn. The properties A-function. It is proved that the set of a-self numbers is infinite and each a-self number has exactly 10 generators. The hypothesis about the distribution of a-self numbers is justified and formulated. The hypothesis about the distribution of the number of chains of «neighboring» a-self numbers is justified and formulated and the complete consistency of the two hypotheses is proved. Formulas for the chains of «neighboring» a-self numbers are found. The multiple relations between the Kaprekar function K(n) and the function introduced by us A(n). We studied and found all solutions of the functional equation A(qn) = qA(n).
Rancang Bangun Sistem Informasi Pengolahan Data Penerimaan dan Pengeluaran Kas Pada Organisasi Pimpinan Cabang Muhammadiyah SU.I Palembang Berbasis Web
Authors: Martadinata Fendri , Firdaus Ahmad , Lonando Paray Theo , Nursalam M. Vikram
Published: April 2024

Introduction: The Muhammadiyah SU.I Branch Leadership Organization is a structural level of Muhammadiyah at sub-district level in the Seberang Ulu I sub-district area. The Muhammadiyah Branch Leadership has a coordinating function for all Muhammadiyah Leadership in the sub-district area, as well as coordinating the Islamic da'wah movement throughout the sub-district area. through various forms, such as religious activities, education, social welfare, health, and so on. Management of cash receipts and disbursements data at the Muhammadiyah SU.I Branch Leadership Organization currently still uses spreadsheets. Disadvantages of using this spreadsheet include the possibility of high data redundancy, difficulty checking inputted data for errors, difficulty in searching for data and low file security. This causes the process of making reports by employees to be slow and the leadership not making decisions quickly. Purpose: The aim of the research is expected to make it easier for employees to manage data on cash receipts and disbursements quickly and accurately, so that it can help leaders in making decisions. Research Method: This research uses data collection techniques using qualitative methods. Namely by interviews and observations as well as a waterfall design. Results: The results of the research were to create a "Web-Based Design and Development of an Information System for Data Processing Cash Receipts and Disbursements at the Muhammadiyah SU.I Palembang Branch Leadership Organization". Conclusion: The conclusion of this research is that the Muhammadiyah SU.I Palembang Branch Leadership Organization needs an information system to manage web-based cash receipts and disbursements data quickly and precisely.
E-Commerce Web Application Untuk Membantu Masyarakat
Authors: Palit Juliana , Satria Rizky Adi , Tantowi Ahmad Ahyani
Published: April 2024

Technological developments are currently developing very rapidly and can be utilized by business people. Using the right technology can improve performance in a company. Processes in the business sector are long, complicated and require a long time to become more efficient and reduce costs. E-commerce is a technology that can be applied to a company. E-commerce as an answer to the demands of globalization. With the number of internet users growing rapidly, this is the reason companies implement e-commerce. The development of e-commerce users in Indonesia is currently increasing due to the Covid-19 pandemic and Omicron has become an alternative for carrying out transactions between buyers and sellers to stabilize the economy. In implementing e-commerce to help people sell their products through an e-commerce website.Keywords—E-commerce; sistem informasi; jual-beli; produk; website
TIME IN THE POETRY OF JAMIL BUTHAINA
Authors: Ahmed SALIH Sura
Published: April 2024

Then Believing in the need of our Arab heritage for a second reading that shows its creativity and originality, we chose Jamil Buthaina, who is considered one of the most important poets of virgin Spinning in the Umayyad era, where his name was associated with the name of his beloved. The Arab in general and beautiful poetry in particular. We notice the dominance of time over Arab poetry and the poets’ gaze. The research is divided into several axes:. - Time in Arabic poetry: which we talked about about the element of time in poetry as it is one of the elements of forming the dramatic structure of the poetic text, and that time is associated with poets even in the poetry industry itself in time. - Time in the virginal spinning poetry We talked about the poets’ view of time and considering it responsible for everything that befalls the poet and for the separation of the beloved and the sadness. Time in jamil poetry Buthaina: In this axis we studied time in beautiful poetry, which he highlighted through dialogue. Beautiful poetry is based on dialogue that shows the life of poetry with its lover, its previous and current status, and its complaint about time. In conclusion, we hope that we have succeeded in presenting an adequate summary of our subject, and that it will be in the service of our Arabic literature and the service of scholars
A Grapler szőlőmetsző robot és a gazda modul tervei
Authors: Veress Gábor , Kusper Gábor , Kusper Krisztián , Barócsi Zoltán , Szemethy László , Gaál Krisztián , Szabó Balázs , Terjék Lajos , Árvai László , Vida László , Márien Szabolcs
Published: April 2024

Ebben a cikkben bemutatjuk a Grapler projekt keretében létrejött robotikai és szoftveres megoldásokat. Célunk egy autonóm szőlőmetsző robot fejlesztése, amely egyik oldalról választ jelent a növekvő munkaerőhiányra a szőlőtermesztésben, másik oldalról, segíti a precíziós mezőgazdasághoz szükséges adatgyűjtést, sőt akár a szőlész oktatást is elősegítheti.
Robotizációs lehetőségek a turizmusban és vendéglátásban
Authors: Pántya Róber , Törcsvári Zsolt , Vidor Róbert , Mucsics F. László
Published: April 2024

Munkánk során a turizmusban és a vendéglátásban használható robotokat vesszük sorra és mutatjuk be alkalmazási lehetőségeiket, hasznos tulajdonságaikat. Ennek során bemutatásra kerülnek a felszolgáló robotok, a szállodai rutin munkát segítő szállító és hotel service robotok, különféle kommunikációs robotok, a robotéttermek, valamint a teljesen automatizált robotkonyhák is. Munkánkban kitérünk még a turizmusban és a vendéglátásban használható robotoknak, valamint a különböző robotizációs lehetőségeknek, a gazdasági felsőoktatásban szükségszerű megjelenésére is.
A logisztikai laborok szerepe és jelentősége a felsőoktatásban
Authors: Valentinyi Zoltán
Published: April 2024

A Neumann János Egyetem Kuratóriuma 2023-ban hagyta jóvá egy logisztikai labor megépítését és integrálását a mérnök képzésbe. Ennek kapcsán vizsgálataim arra keresték a választ, hogy Mik a különbségek a tantermi (elméleti) oktatás és a labor oktatás/gyakorlat között? Mit kellene oktatni egy logisztikai laborban a következő 5-10 évben? Hogyan és milyen eszközökkel kellene és lehetne jó és hasznos labor gyakorlatokat szervezni?
Problémamegoldás a felsőoktatásban
Authors: Nagy Kem Gyula , Katona János
Published: April 2024

Írásunk a problémamegoldó gondolkodás elsajátításával kapcsolatos aktuális kérdésekre keres válaszokat, főként a matematika oktatására vonatkozóan. Kérdéseink: A problémamegoldó gondolkodás képességének fejlesztése valós cél? Mit vár el a fenntartó, a vezető, a MAB? Mit várnak el diákjaink? Mit vár el a szakma a végzős diáktól? Az elvárásoknak (oktatás, nevelés, tananyag fejlesztés, kutatás, publikálás, kapcsolatépítés, adminisztráció) nehéz megfelelni. A válaszok keresése során kitérünk a tananyagra és a kapcsolatos követelményekre, valamint az előismeretekre. Érintjük az analízis (kalkulus) alapjainak szükségességét. Az oktatás és a követelmények megállapítása során a felsorolt kényszereknek engedelmeskedve etikusnak kell maradnunk.
Elkerülhetetlen baleseti helyzetek kezelése az önvezető járművek által
Authors: Kiss Gábor , Bakucz Péter
Published: April 2024

Az önvezető járművek már több országban éles tesztelési fázisban vannak és hamarosan részeit képezik majd a mindennapi közlekedésnek. A mesterséges intelligencia terén elért új kutatási eredmények teszik lehetővé ennek megvalósulását. Az egyik nagy kérdése teljesen önvezető járművek bevezethetőségének a társadalmi elfogadottságukkal kapcsolatos. Cikkünkben az elkerülhetetlen baleseti szituációk kezelését vizsgáljuk, így igyekezve az önvezetés társadalmi elfogadottságát növelni. Rámutatunk, hogyan szükséges döntenie a mesterséges intelligenciának egy elkerülhetetlen baleset esetén, mely jármű utasait és milyen mértékben teszi ki a balesettel járó sérüléseknek.
Elicitation of Cryptic Secondary Metabolites and Antibacterial Activities from Mangrove and Cave Soil Actinomycetes
Authors: Ahmad Razi Intan Azzween Natasha , Ab Ghani Nurunajah , Sadiran Siti Hajar , Ariffin Suhaidi , Syed Mohamad Sharifah Aminah , Muhammad Low Anis Low
Published: April 2024

Actinomycetes’ secondary metabolites have received considerable attention due to their many beneficial biological activities. However, many biosynthetic gene clusters in actinomycetes remain silent as they are not transcribed under standard laboratory conditions. Therefore, this study aims to introduce antibiotic elicitors to activate cryptic secondary metabolites in soil actinomycetes and screen them for antibacterial potential. A total of 20 cave and 10 mangrove soil actinomycete isolates were exposed to streptomycin or erythromycin at subinhibitory concentration (0.5–1048 μg/mL) in minimal media. The ethyl acetate extracts were subjected to high-performance liquid chromatography (HPLC) profiling to observe the effect of elicitors towards secondary metabolite production. As a result, 61.7% of the isolates showed a positive impact (appearance of ‘new’/increase in metabolite production) when elicitors were supplemented. These changes were more pronounced in erythromycin-induced media (63.3%) than in streptomycin (60.0%). Two isolates (CS3PT50 and CS3PT53) exhibited significant changes in the profile, with additional peaks detected at 210 and 245 nm, which may indicate the production of new metabolites. More antibacterial activities were observed from stimulated (26.7%) as opposed to non-stimulated isolates (10.0%), including 6 new activities, 1 improved, and 1 decrease in inhibitory. Furthermore, isolate CS3PT53 (0.5 mg/disc) displayed broad-spectrum activities, inhibiting S. aureus ATCC 25923 and S. Typhimurium ATCC 14028. The hit actinomycete isolates belonged to the genus Streptomyces (55.6%), Norcardia (22.2%), Norcardiopsis, and Saccharomonospora (11.1%). Overall, this study demonstrated that incorporating antibiotic elicitor at subinhibitory concentration could effectively trigger the production of cryptic secondary metabolites with antibacterial properties in soil actinomycetes.
Susuz Yaz Filmi’nde Köylülerin Politik Bilinci Hakkında Bir Analiz
Authors: Gençoğlu Ali
Published: April 2024

Bu çalışma köylülerin kültürü ve politik bilinci ile ilgili oluşmuş literatürü temel alarak Metin Erksan’ın Susuz Yaz filmindeki köylülerin modern olanla mücadelelerindeki politik bilinçlerine ve eylemlerine odaklanmaktadır. Susuz Yaz filminde, köylü kültürü ve politik bilinci ile ilgili önermelere sahip üç temel yaklaşımın birbirleriyle rekabet içerisinde olduğu gözlemlenir. Bunlar modernist yaklaşım, Marksist yaklaşım ve popülist yaklaşımdır. Bu çalışma filmdeki kültürel ögelere, politik aksiyonlara ve aktörlere odaklanarak devlet-Osman ve diğer köylüler arasındaki güç ilişkisinin niteliğini ve bu güç ilişkisinin temsilinde filmin hangi yaklaşımı benimsediğini ortaya koymayı amaçlamaktadır. Sonuç olarak filmin anlatısının birbirleriyle rekabet içerisindeki bu üç yaklaşımdan popülist yaklaşımın argümanlarını benimsediği, modern olana karşı köylünün geleneksel kurallarını ortaya koyduğu ve modernist olan karşısında popülist bir pozisyon aldığı iddia edilecektir.
Los planes de pensiones de empleo; el principio de no discriminación
Authors:   , Laborda Ibáñez Ana Manuela
Published: April 2024

The doctoral thesis that is presented contains a complete exposition of the regulatory environment, the evaluation and the problems of employment pension plans. The employment pension plan constitutes the axis of the complementary social welfare system in our country. In the text, a detailed study of the nature, the scope of application and the personal and real elements of these instruments is carried out, as well as the influence of European regulations on Spanish ones. This without neglecting the study of the principle of non-discrimination in employment pension plans. It is not forgotten, after the casuistic study of numerous regulations, a thoughtful proposal for the implementation of an occupational pension plan model based on a simple and transparent system that can be accessed by the majority of working people.
CULTURA ORGANIZACIONAL EM UMA EMPRESA FAMILIAR: UM OLHAR A PARTIR DA DIVERSIDADE GERACIONAL
Authors: OSÓRIO MENEZES DIÉLEN , De Conto Pedro , Amaral Prestes Vanessa
Published: April 2024

A diversidade geracional nas organizações traz consigo costumes distintos que afetam a cultura organizacional e a interação entre as equipes. Quando se trata de uma empresa familiar, as empresas tendem a ter uma estrutura mais tradicional e hierárquica, e a interação entre diferentes gerações pode trazer tanto desafios quanto oportunidades. A partir dessa problemática, o objetivo deste estudo é analisar as percepções da diversidade geracional acerca da cultura organizacional de uma empresa familiar. A presente pesquisa se propôs a realizar um estudo exploratório qualitativo. Como instrumento de coleta, foi utilizado o método de entrevista com dois colaboradores de cada geração de uma empresa familiar. O roteiro foi composto por perguntas com o intuito de identificar elementos que compõem a cultura organizacional da Conexão Alimentos, empresa foco deste estudo. Os dados apontaram que, segundo as percepções das diferentes gerações presentes na empresa, a gestão é familiar e a cultura foi identificada como sendo conservadora, tendo seus valores e tradições perpetuados ao longo dos 33 anos de atuação no mercado. Ainda, este estudo contribui para a ampliação da discussão e compreensão da cultura organizacional sendo influenciada diretamente pela diversidade geracional.
NOVO MODELO DE FORMAÇÃO DOS OFICIAIS DA POLÍCIA MILITAR DO PARANÁ COM O REQUISITO DE INGRESSO DE GRADUAÇÃO EM DIREITO: ESTUDO DE CASO COM AS POLÍCIAS MILITARES DE SANTA CATARINA E MINAS GERAIS
Authors: Perovano Dalton Gean
Published: April 2024

A pesquisa tem como objeto de estudo a revisão normativa sobre a exigência da graduação em Direito, como requisito para o ingresso à carreira de Oficial Combatente da Polícia Militar do Paraná. Destina a descrição dos elementos básicos de formulação e composição curricular do Curso de Formação de Oficiais, assim como, aspectos gerais sobre o processo de seleção. Os estudos seguem as experiências da Polícia Militar de Santa Catarina e Polícia Militar de Minas Gerais, a partir da análise dos editais do concurso ao Curso de Formação de Oficiais, e os respectivos Projetos Pedagógicos de Curso. Como metodologia, a investigação tem como enfoque a pesquisa qualitativa e tipo de estudo descritivo, e apresenta como classificação o estudo de caso. Na concussão é sugerida a formulação de conteúdos do Direito aplicado à atividade policial militar, a prova títulos para o concurso ao Curso de Formação de Oficiais, o estudo sobre o perfil profissiográfico e o mapeamento de competências para as atribuições funcionais do Oficial Policial Militar, entre outras recomendações.
A TRAJETÓRIA INSTITUCIONAL DA ASSOCIAÇÃO DE FEIRANTES DE FRANCISCO BELTRÃO- PR
Authors: Miecoanski Flávia Regina , Santos da Silva Fernando
Published: April 2024

As feiras livres são espaços que permitem aos agricultores familiares a comercialização dos produtos que a família produz na propriedade rural. A partir da teoria institucional, esta pesquisa teve como objetivo central compreender como se deu a trajetória institucional da associação de feirantes de Francisco Beltrão. De forma específica buscou-se i): Compreender como as associações se formaram; ii) Identificar as regras e restrições existentes; iii) Analisar se as regras e restrições existentes são cumpridas. De acordo com o objetivo proposto para este trabalho esta é uma pesquisa descritiva, de natureza qualitativa, cujo procedimento adotado é um estudo de campo. A coleta de dados foi realizada por meio de entrevistas e análise documental. Os resultados indicaram que a associação foi criada devido a necessidade de organização e de buscar reivindicações junto a órgãos responsáveis. Foi identificada a existência de regras formais e restrições informais na associação que estão descritas no estatuto desta, no seu regimento interno e nas leis municipais, no entanto, nem sempre são seguidas por todos os membros da associação.
Fortalecimiento de la comprensión lectora en el idioma inglés por medio de herramientas virtuales de aprendizaje a estudiantes de cuarto primaria del colegio cooperativo COMFENALCO de Bucaramanga, Colombia
Authors:   Universidad Autónoma de Bucaramanga, GUARIN Silvia D. , ACEBEDO Manuel J. ,   Universidad Autónoma de Bucaramanga
Published: April 2024

El presente escrito describe el proceso realizado para la aplicación y desarrollo de un método de comprensión lectora en inglés para los estudiantes de cuarto primaria del colegio Cooperativo COMFENALCO de Bucaramanga, Colombia. Su estrategia se centra en variar la manera convencional de lectura y proponer una alternativa con el uso de herramientas virtuales de aprendizaje. A partir de esta propuesta, el objetivo de este proyecto es que los niños y niñas del grado cuarto potencien la habilidad lectora y la ejecuten de manera autónoma. Lo anterior, en el contexto de una investigación cualitativa, a partir del diagnóstico dado en las entrevistas y con la aplicación de los talleres, como una forma de dejar planteada una propuesta que permita continuar con el desarrollo de las habilidades de comprensión del idioma inglés en los estudiantes de primaria.
Real-Time Inspection of Fire Safety Equipment using Computer Vision and Deep Learning
Authors: Alayed Asmaa , Alidrisi Rehab , Feras Ekram , Aboukozzana Shahad , Alomayri Alaa
Published: April 2024

The number of accidental fires in buildings has been significantly increased in recent years in Saudi Arabia. Fire Safety Equipment (FSE) plays a crucial role in reducing fire risks. However, this equipment is prone to defects and requires periodic checks and maintenance. Fire safety inspectors are responsible for visual inspection of safety equipment and reporting defects. As the traditional approach of manually checking each piece of equipment can be time-consuming and inaccurate, this study aims to improve the inspection processes of safety equipment. Using computer vision and deep learning techniques, a detection model was trained to visually inspect fire extinguishers and identify defects. Fire extinguisher images were collected, annotated, and augmented to create a dataset of 7,633 images with 16,092 labeled instances. Then, experiments were carried out using YOLOv5, YOLOv7, YOLOv8, and RT-DETR. Pre-trained models were used for transfer learning. A comparative analysis was performed to evaluate these models in terms of accuracy, speed, and model size. The results of YOLOv5n, YOLOv7, YOLOv8n, YOLOv8m, and RT-DETR indicated satisfactory accuracy, ranging between 83.1% and 87.2%. YOLOv8n was chosen as the most suitable due to its fastest inference time of 2.7 ms, its highest mAP0.5 of 87.2%, and its compact model size, making it ideal for real-time mobile applications.
Structural Behavior of Concrete One-Way Slab with Mixed Reinforcement of Steel and Glass Fiber Polymer Bars under Fire Exposure
Authors: Rasheed Mohammed R. , Mohammed Shatha D.
Published: April 2024

Steel Reinforced Concrete (RC) frequently faces durability problems. In certain areas, Glass Fiber-Reinforced Polymer (GFRP) rebars are considered a non-corrodible substitute for steel reinforcement. Elevated temperatures have a significant impact on the mechanical characteristics and the adhesiveness of GFRP rebars to concrete, particularly when the polymeric matrix's glass transition temperature is approached or surpassed. Three simply supported reinforced concrete slabs were considered in the experimental program. Each specimen had identical dimensions of 1500×540×120 mm. For the fire resistance requirements, a 45 mm clear concrete cover and an exception of a 200 mm unexposed (cool) anchor zone at the ends were considered. The GFRP replacement ratio was 0, 20, and 40%. The burning procedure involved fire exposure for an hour with a steady-state temperature of 500 °C in accordance with ASTM E-119 regarding the temperature time elevation and a sudden cooling condition. The optimal concrete cover was detected by testing a fire-exposed small model reinforced by GFRP bars of varying concrete cover. The specimen was tested under static intense loads. The reference slab and the slab with a replacement percentage of 20% failed due to flexural failure, whereas the slab with a replacement percentage of 40% failed due to shear failure. The influence of the GFRP replacement ratio was extended to include toughness and ultimate load. A replacement percent of 20% increased them by 18.30, and 2.62%, respectively, while a replacement percent of 40% decreased them by 28.16, and 3.13%, accordingly. It was also shown that the location of replacing the GFRP and 200 mm of unexposed (cold) installation area at the ends with a 45 mm concrete cover has a significant impact. The more the GFRP is located in the middle, away from the ends, the better the fire resistance is.
Efficient Energy Management with Emphasis on EV Charging/Discharging Strategy
Authors: Kraiem Habib , Gadri Wiem , Flah Aymen
Published: April 2024

Leveraging the Vehicle-to-Grid (V2G) concept, this research explores how a decentralized energy reserve from hybrid electric vehicles can enhance the power system, particularly in large-scale implementations. The study introduces a V2G solution designed for effective microgrid frequency control over a full day. Targeting a scenario with minimal usage, typically in spring or fall, the microgrid is scaled to represent a community of 2000 homes. This is exemplified by integrating 500 Electric Vehicles (EVs) based on a 1:4 vehicle-to-household ratio, reflecting a plausible future scenario. The research conducts a comprehensive examination of the microgrid's voltage, current, and active power. By synchronizing the management of diesel and Renewable Energy Source (RES) generation, power transactions, and EV generation, the microgrid's frequency is effectively regulated through V2G devices adjusting load demand. The implemented V2G-enriched microgrid demonstrates improved energy management and mitigates the inconsistencies and fluctuations inherent in RES power generation, showing notable performance enhancements. In various operational contexts, system parameter fluctuations have been analyzed, revealing that deviations are maintained below a 5% threshold.
Design and Development of a Wheelchair Prototype
Authors: Nguyen Van-Tinh , Tung Tran Thanh
Published: April 2024

The rate of people with disabilities in Vietnam is about 7% out of a total of 98 million. Wheelchairs are popular assistive devices for disabled people and are often found in many places around the world, including Vietnam. This study proposes a novel design of a prototype electric wheelchair to support people with disabilities in Vietnam. The electric wheelchair model was successfully simulated and manufactured, fully meeting the proposed technical requirements. The proposed model works well and is suitable for the shape and physical strength of Vietnamese people.
Deep Learning Approaches for Age-based Gesture Classification in South Indian Sign Language
Authors: Badiger Ramesh M. , Yakkundimath Rajesh , Konnurmath Guruprasad , Dhulavvagol Praveen M.
Published: April 2024

This study focuses on recognizing and categorizing South Indian Sign Language gestures based on different age groups through transfer learning models. Sign language serves as a natural and expressive communication method for individuals with hearing impairments. This study intends to develop deep transfer learning models, namely Inception-V3, VGG-16, and ResNet-50, to accurately identify and classify double-handed gestures in South Indian languages, like Kannada, Tamil, and Telugu. A dataset comprising 30,000 images of double-handed gestures, with 10,000 images for each considered age group (1-7, 8-25, and 25 and above), is utilized to enhance and modify the models for improved classification performance. Amongst the tested models, Inception-V3 achieves the best performance with a test precision of 95.20% and validation accuracy of 92.45%, demonstrating its effectiveness in accurately categorizing images of double-handed gestures into ten different classes.
Effect of Fire Exposure on the Properties of Self-Compacting Concrete reinforced by Glass Fibers
Authors: Aboud Rawaa K. , Awad Hadeel K. , Mohammed Shatha D.
Published: April 2024

The optimal design of any structural elements requires examining all environmental risks, emergency accidents, and standard load cases. Exposure to fire is one of the most common safety threats. Nowadays wide developments are achieved in the field of concrete technology, therefore, experimental and theoretical investigations should be performed on the characteristics of such developed materials under different loading conditions. This study investigates the impact of fire exposure on the mechanical characteristics of self-compacting concrete, specifically compressive and tensile strength, modulus of elasticity, and stress-strain relation. The adopted fire exposure consisted of six steady-state temperatures (300, 400, 500, 600, 700, and 800°C) for one hour and a sudden cooling method. Four glass fiber volume fractions were adopted: 0, 0.5, 1, and 1.5%. The glass fiber volume fractions considered (0.5-1.5%) improved the mechanical properties investigated. Two states were detected for the effect of fire exposure. The effect of fire exposure was inversely proportional to fiber content in burning temperatures of 300-700°C, while the reduction in mechanical properties of 1.5% fiber content was greater than those of 0.5 and 1% when the temperature increased to 800°C. Furthermore, the addition of glass fiber changed the brittle mode stress-strain relation to semi-ductile for the non-burned and burned up to 600°C specimens, whereas a brittle behavior was detected when the temperature increased above 600°C. In general, a similar effect was noticed for all the glass fiber ratios considered regarding the slope of the stress-strain linear stage compared to the non-burned specimens, which was more salient when the burning temperature increased.
Fostering Sustainability through the Integration of Renewable Energy in an Agricultural Hydroponic Greenhouse
Authors: Lachheb Aymen , Marouani Rym , Mahamat Chabakata , Skouri Safa , Bouadila Salwa
Published: April 2024

This research explores the feasibility of integrating renewable energy sources, such as solar and wind, to power a hydroponic greenhouse. In this way, the latter’s energy autonomy is ensured. The study begins by evaluating the annual electricity consumption of the examined system. A renewable energy system capable of meeting its energy requirements throughout the year is also designed. The main objective is to assess the efficiency of two types of renewable energy sources, namely photovoltaic panels and wind turbines, and to improve their integration within the agricultural chamber by implementing a model simulation. Two scenarios were examined: the first one represents a photovoltaic power plant with storage, connected to the grid, while the second scenario presents a wind power plant connected to the grid. This numerical analysis is supplemented by a one-year experimental study of a photovoltaic installation connected to the network with storage, which in turn is connected to the experimental device. To handle energy within the renewable energy greenhouse, an energy management system was developed based on a fuzzy logic controller. This system aims to maintain energy balance and ensure continuous power supply. The energy management system optimizes energy flow to minimize consumption, reduce grid dependence, and improve overall system efficiency, resulting in cost savings and certain environmental benefits.
Quicklime-stabilized Tuff and Clayey Soils for Highway A3 Construction in Northern Tunisia
Authors: Ghazouani Nejib
Published: April 2024

This study presents a comprehensive examination of the effects of quicklime (QL) addition on the stabilization of two distinct clayey soils with high (CH) and low plasticity (CL-tuff). The results showed that incorporating QL into the soils substantially improves their stabilization characteristics. Specifically, the addition of QL results in a notable decrease in the final water content of both soils, as shown by a reduction from 23.04 to 19.06% in CH and from 18.07 to 17.1% in CL-tuff at 4% QL addition. Furthermore, this study reveals a transformation in the plasticity properties of soils. Liquid Limit (LL) and Plasticity Index (PI) were reduced, with CH-tuff exhibiting a significant decrease in PI from 48 to 12 and an increase in Plastic Limit (PL) from 21.8 to 55 at 4% QL. CL-tuff also showed reduced plasticity, with PI decreasing to 8.33 at 4% QL. Additionally, the Immediate Bearing Index (IBI) was improved for both soil samples, indicating improved load-bearing capacities. For CH samples, IBI improved from 6.37 to 11.99 at 4% QL addition, while for CL-tuff, it increased dramatically from 4.5 to 23.6 for the same QL percentage. The findings underscore the effectiveness of QL in improving soil properties crucial for chemical stabilization, providing evidence that QL addition can be a key technique in soil stabilization, especially for soils with high plasticity or those requiring increased bearing strength.
Two Proposed Models for Face Recognition: Achieving High Accuracy and Speed with Artificial Intelligence
Authors: Al-Dabbas Hind Moutaz , Azeez Raghad Abdulaali , Ali Akbas Ezaldeen
Published: April 2024

In light of the development in computer science and modern technologies, the impersonation crime rate has increased. Consequently, face recognition technology and biometric systems have been employed for security purposes in a variety of applications including human-computer interaction, surveillance systems, etc. Building an advanced sophisticated model to tackle impersonation-related crimes is essential. This study proposes classification Machine Learning (ML) and Deep Learning (DL) models, utilizing Viola-Jones, Linear Discriminant Analysis (LDA), Mutual Information (MI), and Analysis of Variance (ANOVA) techniques. The two proposed facial classification systems are J48 with LDA feature extraction method as input, and a one-dimensional Convolutional Neural Network Hybrid Model (1D-CNNHM). The MUCT database was considered for training and evaluation. The performance, in terms of classification, of the J48 model reached 96.01% accuracy whereas the DL model that merged LDA with MI and ANOVA reached 100% accuracy. Comparing the proposed models with other works reflects that they are performing very well, with high accuracy and low processing time.
Impact of Safety Management Practices on Safety Performance in Workplace Environment: A Case Study in Iraqi Electricity Production Industry
Authors: Tawfeeq Omar Munaf , Thiruchelvam Sivadass A. L. , Bin Zainal Abidin Izham
Published: April 2024

Organizations are becoming more aware of the need to ensure a safe working environment for their staff. Technological advancements and industrial growth have enhanced efficiency, however, they present new challenges and risks for employees. Accidents remain a concern despite International Labor Organization (ILO) guidelines, governmental bodies, and industry institutions promoting workplace safety. Therefore, it is crucial to evaluate the determinants of workplace safety performance, particularly in the electrical power industry. This study formulates a theoretical model to assess the predictors of safety practices of managers and staff in the Iraqi electricity sector, extending the safety climate model with four external constructs and a moderating variable. Data were collected from 374 participants using an online questionnaire and the PLS-SEM method for analysis. The factor loadings exceeded the recommended value of 0.7 and internal consistencies were greater than the threshold value of 0.8. The findings showed that the safety performance in the Iraqi electric power sector is influenced by safety communication, safety policy, safety control, prevention planning, and safety commitment. Safety commitment is affected by safety policy, prevention planning, control, and communication, while safety training and safety control were found to be insignificant. Furthermore, safety communication had the most significant effect. The results of this study provide some theoretical and practical implications for employees' safety performance toward their overall safety in the electric power industry.
Using Artificial Neural Networks with GridSearchCV for Predicting Indoor Temperature in a Smart Home
Authors: Alshammari Talal
Published: April 2024

The acceleration of house technology via the use of mobile phones has made it easier to control houses, where occupants (especially older people) spend most of their time. The climate of Saudi Arabia, especially in the northern area, is too hot during summer and cold during winter. Control of the indoor environment in a smart home is a preferable choice that can reduce power consumption to operate heating, ventilation, and air-conditioning. Machine learning algorithms have been used to predict physical variables of indoor environment, such as temperature and humidity. The model can be trained, learn, and make predictions using historical data. Machine learning techniques can automate temperature monitoring and control. This paper proposes an algorithm that combines Artificial Neural Networks (ANNs) and GridSearchCV to predict physical variables in indoor environments in Saudi Arabia. GridSearchCV was utilized to tune the parameters of the machine learning algorithm. The assessment of the proposed algorithm involved its performance comparison to state-of-the-art machine learning algorithms. A real-world dataset was generated to estimate the performance of the considered algorithms. The room data were collected every 5 min for 31 days during July 2022. The dataset contains 6 columns and 8,910 records from 6 sensors (timestamps, light, temperature, humidity, pressure, and altitude). Random Forest (RF), Decision Tree (DT), and ANN methods were compared with the proposed algorithm. The RF had the highest R2 value of 0.84 and the lowest Mean Square Error (MSE) of 0.43. The DT achieved an R2 score of 0.78, while the ANN achieved R2 score of 0.61, MSE of 1.04, and Mean Absolute Error (MAE) of 0.75. The proposed algorithm achieved an R2 of 0.69, MSE of 0.87, and MAE of 0.67.
Assessing the Influence of Various Work Breakdown Structures on Project Completion Time
Authors: Odedairo Babatunde Omoniyi
Published: April 2024

In project management, a clear definition of the objective is required for the success of a project. Scope management is a performance indicator used to ascertain compliance with predefined project boundaries. The Work Breakdown Structure (WBS) is an essential part of the scope management process and a tool in project planning. Although there is much research on WBS, there is a lack of information regarding the relationship between the selection of WBS orientation and project completion time. In this paper, the influence of alternative WBS orientations on project completion time is assessed. The Project Life Cycle (PLC) and technology (T) WBS were applied across two projects—the construction of a Liquefied Petroleum Gas (LPG) facility and the Renovation of an Office Complex (ROC)—using a top-down decomposition methodology. The PLC-WBS and T-WBS were created utilizing Figma software. The project duration was determined using the critical path method, which was implemented in the Python programming language. Based on WBS selection, differences were discovered in the definition of the project deliverables, network construction, and aggregation of work packages. These discrepancies had an impact on the technological relationships between activities by reducing opportunities for parallel processing. The LPG project was completed in 86 days using the PLC-WBS and in 80 days using the T-WBS orientation. For ROC, the project can be accomplished within 128 and 126 days, using the PLC-WBS and T-WBS orientation, respectively. This outcome suggested that there might be an association between the WBS and the project objective. Therefore, an assessment of different WBSs in project scope management demonstrated their potential influence on decision-making in activity planning and scheduling, network construction, and project objectives.
Digital Image Forensics: An Improved DenseNet Architecture for Forged Image Detection
Authors: Alzahrani Ahmed
Published: April 2024

Images sent across internet platforms are frequently subject to modifications, including simple alterations, such as compression, scaling, and filtering, which can mask possible changes. These modifications significantly limit the usefulness of digital image forensics analysis methods. As a result, precise classification of authentic and forged images becomes critical. In this study, a system for augmented image forgery detection is provided. Previous research on identifying counterfeit images revealed unexpected outcomes when using conventional feature encoding techniques and machine learning classifiers. Deep neural networks have been also utilized in these efforts, however, the gradient vanishing problem was ignored. A DenseNet model was created to tackle limitations inherent in typical Convolutional Neural Networks (CNNs), such as gradient vanishing and unnecessary layer requirements. The proposed DenseNet model architecture, which is composed of densely connected layers, is designed for precise discrimination between genuine and altered images. A dataset of forged images was implemented to compare the proposed DenseNet model to state-of-the-art deep learning methods, and the results showed that it outperformed them. The recommended enhanced DenseNet model has the ability to detect modified images with an astonishing accuracy of 92.32%.
The Influence of Plasma Nitriding Technology Parameters on the Hardness of 18XГT Steel Parts
Authors: Van Nguyen Thai , Ky Le Hong
Published: April 2024

This article presents the results of the research on the influence of plasma nitriding technology parameters on the working surface hardness of machine parts made of previously hardened 18XГT steel. A total of 27 experiments were conducted on the H4580 Eltrolab instrument. Minitab software was used to process the experimental results. The regression function set up with visual charts was utilized as the basis for analysis of the influence of temperature, time, and gas permeation concentration on the working surface hardness. Analysis of variance (ANOVA) showed that all the nitriding technology parameters influenced the regression function. The permeation temperature TL had the greatest influence on hardness, while the permeation time h and the gas permeation concentration G1 had less influence. When the double interaction between the parameters was considered, it was shown that these pairs also had a large influence on the surface hardness, but at different levels.