bluuebunny/crossref_metadata_2025 huggingface dataset:
Face Recognition Using Raspberry PI for Mentally Retarded Person
Authors:   Assistant Professor, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, A Arivarasi , V Vishwak ,   Student, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Rayanu ,   Student, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Arpita ,   Student, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Greeshma ,   Student, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India
Published: June 2023

The face recognition system described in this paper focuses on addressing the needs of individuals with intellectual disabilities. Intellectual disabilities often affect an individual's cognitive and adaptive functioning, making it challenging for them to perform everyday tasks independently. This system utilizes the capabilities of Raspberry Pi , a low cost single-board computer, to create an accessible and user-friendly solution for face recognition. The main objective of this system is to assist mentally challenged individuals in recognizing and identifying familiar faces. By utilizing face recognition technology, the system aims to enhance their independence, social interactions, and overall quality of life. The Raspberry Pi platform provides a flexible and affordable hardware foundation for implementing this system. The system leverages a pre-trained deep learning model for face recognition, such as OpenCV or dlib, to perform face detection and identification tasks. The model is trained on a dataset containing facial images of familiar individuals to ensure accurate recognition. Raspberry Pi's computational capabilities enable real-time processing of the captured video feed, facilitating prompt recognition and response.
Under Ground Fault Monitoring system Using Cloud Computing and IoT
Authors:   Assistant Professor, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, N Santhosh Kumar , Kumar Sunil ,   Student, Department of Electronics & Communication Engineering,  Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Aneesh ,   Student, Department of Electronics &  Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru., . Sumalatha ,   Student, Department of Electronics & Communication Engineering,  Sri Sairam college of Engineering, Anekal, Bengaluru, India
Published: June 2023

An underground fault monitoring system project's major objective is to develop and put into use a system that can quickly identify and pinpoint faults in subterranean power cables. The system uses a network of sensors put along the cable's length to monitor and communicated at a on a variety of characteristics, including temperature, vibration, and current. For analysis to a central control unit. Advanced algorithms are used by the control unit to process the data and find any anomalies or potential problems. The system alerts the maintenance crew in real time when a fault is found, allowing them to swiftly find and fix the issue. Reducing the possibility of failure is the project's main objective in order to increase the availability and dependability of the electricity system.
Smart Remainder SoS And Emergency Detection Device
Authors:   Assistant Professor, Department of Electronics & Communication Engineering,  Sri Sairam college of Engineering, Anekal, Bengaluru, India, HR Halesha , M P Likitha , Jenefa Evangeline , M Chandana , S R Radha Krishna
Published: June 2023

The lack of a dedicated device to remind chronic patients when to take their medications, the difficulty in quickly pressing an SOS button, and most importantly the delay in communication between the time of an accident and contact with care takers or hospitals were the three factors that served as the inspiration for the project. A study found that prompt treatment could preventable most 85% of deaths brought on by minor and major heart attacks, strokes, and shortness of breath. Therefore, a visible SOS button would be adequate A side from that, data demonstrate that it is detrimental to one's health to take prescriptions as prescribed and to take the incorrect medication at the incorrect time. In addition, News18 reports that each year 36,579 persons pass away in motor vehicle collisions, 36,213 in two-wheeler collisions, 31,997 in truck and lorry collisions, and nearly 45,000 in incidents involving other modes of transportation. A delay in bringing the patient to the hospital accounts for over 76percent of deaths in each vehicle. Guardians were unable to reach the injured in half of the cases, or the victim was not helped to get to the hospital in time. In such a scenario, a device or technology that detect
Microcontroller Based Aeronautical Crash Prevention System through RF Communication
Authors:   Assistant Professor, Department of Electronics & Communication Engineering,  Sri Sairam college of Engineering, Anekal, Bengaluru, India, P Deepika , Amrita Boddukuru , Yadav Yadunandan , Sagar Prabudh
Published: June 2023

Embedded system is a special-purpose computer, designed to perform a dedicated function. Embedded system is quickly growing in various fields like industrial automation, home appliances, automobiles, aeronautics etc. The main aim of this project is to prevent the collision among air flights. Many methods are available to prevent the collision between the flights, but here RF technology and Microcontroller is used which provides some additional features for future enhancement. The system uses a microcontroller to collect data from sensors on the aircraft and process it to determine the distance and velocity of other aircraft in its vicinity. The system then sends signals to other aircraft in its range through RF communication to alert them about the potential danger. In addition performance evaluation of the system, which includes the detection accuracy, response time, and communication reliability, is monitored.
Virtual Mouse – Hand Gesture Recognition System
Authors:   Assistant Professor, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, Rathnam Martin Joel , Sharma Pradyuman , Shaw Anand , Krishnan Anoop , Vishal Vivek
Published: June 2023

The purpose of this research is to enhance the identification of hand gestures in a Human-Computer Interaction scenario, while also minimizing the computational time required and enhancing user comfort. To achieve this goal, the authors created a computer mouse control application that employs an algorithm and selected hand features, resulting in efficient performance. The integration of voice assistant with the recommended hand postures further improves user experience and facilitates system operation.
A Novel Framework for the Psychology of Decision Making
Authors:   Professor, Dept. of CSE Sri Sairam College of Engineering, Bangalore, India, A Mahesh , G Sanjai , . Noorian , kumar Vinay
Published: June 2023

Decision making is a complex process influenced by cognitive, affective, and contextual factors. We propose a novel framework that integrates insights from cognitive psychology, social psychology, and neuroscience. The framework consists of three main components: information processing, evaluation, and decision. We discuss how each component contributes to the decision-making process and how they interact with each other. The framework can be used to understand and improve decision making by identifying and addressing potential biases and errors.
Building a Smart City Infrastructure Using Long Range Technology
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Sairam College of Engineering, Anekal, Bengaluru, India, A Jenifer , Budhani Bhandana , B M Bhavana , R Aishwaryaa , Mounika Bale , C Anusha
Published: June 2023

Smart cities are urban areas that leverage fourth industrial revolution technologies and stakeholder governance to address urban challenges and enhance the well-being of citizens. Despite the evolving concept of smart cities, there is a lack of comprehensive studies on the overall trajectory of smart city research and key issues. Thus, this investigation examines smart city literature published from 2011 to 2020 to identify trends, characteristics, and propose future research directions. A systematic review of smart city studies conducted over the past decade was performed, dividing the research into methodology and content. The analysis framework encompassed research year, two research methodologies employed, research objectives, data collection methods, utilization of research outcomes, relevant keywords, analysis units, and classification criteria for smart city security. The findings of this study are anticipated to offer valuable insights for forthcoming smart city development initiatives.
Smart Navigation and Inspection System for Aquaculture Development under Controlled Parameters
Authors:   Principal, Dept. of Computer Science and Engineering Sri Sairam College of Engineering, Bangalore, India, B Shadaksharappa , J A Smitha ,   Professor, Dept. of Computer Science and Engineering Sri Sairam College of Engineering, Bangalore, India, Drq Suresha ,   Professor, Department of Computer Science  Sri Sairam college of Engineering,  Bengaluru, Karnataka,India, C Vinola, ,   Associate Professor, Dept. of Computer Science and Engineering Sri Sairam College of Engineering, Bangalore, India
Published: June 2023

Aquaculture is a rapidly growing industry that provides a critical source of food for millions of people worldwide. However, fish farmers face significant challenges such as environmental pollution, disease control, and inadequate water quality control systems. To address these challenges, intelligent monitoring and control systems are necessary. One promising technology that can improve monitoring efficiency and reduce human error is the use of autonomous underwater vehicles (AUVs) in cage aquaculture. AUVs can operate in harsh and challenging environments, collect data on water quality, temperature, and other environmental factors, and provide detailed information on fish health and behavior. Implementing AUVs in cage aquaculture can improve sustainability by reducing waste and minimizing environmental pollution, and aid in surveillance activities to detect illegal fishing and other unauthorized activities. Additionally, AUVs can assist in infrastructure inspection to identify and repair damaged equipment. In conclusion, the aquaculture industry faces significant challenges that can lead to substantial losses. Intelligent monitoring and control systems, along with the use of AUVs, can help mitigate these challenges by providing real-time information on fish health, cage condition, and the environment. Implementing these technologies can promote a more sustainable and profitable aquaculture industry, ensuring a reliable source of food for millions of people worldwide.
A Study of Cyber Security Challenges and its Emerging Trends on Latest Technologies
Authors:   Assistant Professor, Dept of Computer Science and Engineering Sri Sairam College of Engineering, Bengaluru,India, K Radhika , G Sundar , Kumar Sarath , T Srinivasan
Published: June 2023

Cyber security is a critical concern in today's digital age, where organizations and individuals face a multitude of evolving threats. The rapid advancement of technology has brought about new challenges and vulnerabilities that require continuous examination and understanding. This study aims to explore the cyber security challenges and emerging trends arising from the latest technologies, shedding light on the risks and opportunities that accompany these advancements. The study also explores the emerging trends in cyber security, including the integration of machine learning and AI-based solutions. These technologies enhance threat detection and response capabilities by analyzing vast amounts of data, identifying patterns, and enabling proactive mitigation of risks.
Paper on Smart Irrigation
Authors:   Assistant professor, Department of CSE Sri Sairam college of Engineering, Anekal ,Bengaluru, India, V Shoba , R Bhavya , M Chaitanya , D L Rachana
Published: June 2023

Agriculture holds immense significance in India as it is the main source of livelihood for a majority of the population. Over the past few decades, farming has undergone significant technological advancements, becoming more industrialized and technology-driven. Smart agriculture gadgets have empowered farmers to have better control over livestock rearing and crop cultivation, enhancing predictability and efficiency. Technology plays a crucial role in the development of this agricultural nation, and water is a vital resource for farming. While water irrigation is a common method to supply water to farms, it can sometimes lead to wastage. The conventional water irrigation system faces challenges due to water scarcity caused by population growth and climate changes. The Internet of Things (IoT) has emerged as a new approach to modernize agriculture. By leveraging automation, IoT can optimize various farming processes and reduce the need for human intervention, making agriculture more efficient. Therefore, a novel method called "automation of water irrigation system using IoT" is proposed to conserve water and save time. This approach involves the use of sensors such as temperature, humidity, and soil moisture sensors to measure different soil parameters. Based on the soil moisture value, the motor controlling the water flow will automatically switch on or off. The status of the motor and the sensed parameters will be displayed on a mobile device. By monitoring and collecting data on soil moisture, temperature, humidity, and sunlight intensity across multiple fields, water usage efficiency and crop yield can be improved for both large and small farms. Additionally, when the soil in agricultural land becomes dry, this method triggers the automatic flow of water for irrigation. Sensors are deployed on farms to monitor crop status, taking into account climate changes and factors like light, humidity, temperature, shape, and size. If any deviations are detected by the sensors, the crop status will be displayed on the farmer's smartphone.
Waste Management Using IoT
Authors:   Assistant professor, Department of CSE, Sri Sairam College of Engineering, Anekal, Bangalore, India, A Jenifer , N Prajwal , G Sathya , . Shivasagar , M Sushma , Sivagami Nellai
Published: June 2023

The growing population and the need to improve livability in cities have led to the development of smart cities usingemerging technologies such as the Internet of Things (IoT). Wastemanagement is a critical aspect of a smart city as it impacts thehealth of citizens and the environment. To address this issue, ourresearch focuses on using IoT to collect data and applying multi-agent deep reinforcement learning algorithms to extract meaningfulinsights from the data. The data is used to provide notifications, extract insights, and predict waste fill levels to optimize wastecollection routes. Our proposed framework is hardware-agnosticand can effectively interface with a wide variety of hardware while keeping the architecture abstracted.
Mitigation of Common Mode Voltage in Induction Motor Employing Multilevel Inverter
Authors:   Professor & Head, Dept.of EEE Sri Sairam College of Engineering, Bangalore, S Sujatha , R Gunasekari ,   Associate Professor,Dept.of EEE Sri Sairam College of Engineering, Bangalore, K Ramya ,   Associate Professor, Dept.of EEE Sri Sairam College of Engineering, Bangalore, RM Raghavendra ,   Assistant Professor, Dept of EEE Sri Sairam College of Engineering, Bangalore
Published: June 2023

Induction motor (IM) is a usually a constant speed motor. The Basic technique used to control and run the machine in variable speed drive application can be obtained by two level inverters, which can be controlled digitally with the help of microcontroller using sinusoidal pulse width modulation method. Thereby at the star terminal point of the load there is a voltage existed with respect to system ground. Hence it is defined as “common mode voltage”. Due to the common mode voltage, there is an electromagnetic interference that is induced. Thereby it causes lot of disturbance to the communication and electronic equipment’s, which are nearby to the system. The common mode voltage can be reduced with the help of high-level inverter that can be used for example two-level, three-level, four-level inverters etc. In this proposed system we are reducing the common mode voltage by using two level inverter & three level inverter. In this paper, mitigation of CMV is simulated through MATLAB and implemented by hardware setup.
A Method to Improve Human Heart Disease Prediction Using Machine Learning Algorithms
Authors:   Assistant Professor, Dept. of. CSE,  Sri Sairam College of Engineering, Bangalore., A Jenifer
Published: June 2023

There is great diversity in the field of medical science due to computational power and technical innovation, especially in identifying human heart disease. Today it is one of the deadliest human heart diseases in the world and have very serious effects on human life. Accurate and timely identification of heart disease in humans can be very helpful in prevent heart failure in its early stages and will improve patient survival. Manual method for determining the heart disease is biased and can vary between researchers. In this regard, efficient and reliable machine learning algorithms resources for detecting and classifying people with heart disease and those who are healthy. According to suggestion in our study, we identified and predicted heart disease in humans using a variety of machine learning algorithms and using heart disease dataset to evaluate its performance using various measures, such as sensitivity, specificity, F-measure, and classifier accuracy. For this purpose, we used nine machine learning classifiers for the final dataset before and after hyper parameter tuning of machine learning classifiers, such as AB, LR, ET, MNB, CART, SVM, LDA, RF, and XGB. In addition, we verify their accuracy on a standard heart disease dataset by performing several standardized, pre-processing procedures of the data set and hyper parameter tuning. In addition, to train and validate machine learning algorithms, we implemented standard K-fold cross-validation technique. Finally, the experimental results show that the accuracy of the predictive classifiers with improved hyper parameter tuning and achieved remarkable results with data normalization and hyper parameter tuning of machine learning classification.
PIEZO- AIDED FOOTSTEP POWER GENERATOR
Authors:   Sri Sairam College of Engineering,Bangalore, A Poonguzhali , M Jeevitha
Published: June 2023

Just think how much an average person would walk, a person of 80 would have walked 216,262,500 steps throughout life. Then think of billions of peoples. Also think if energy produced is sufficient and reachable to entire mankind. what if you convert this foot step into a useful source rather than wasting it? It would be non-conventional energy for performing work or just light up the street. It would meet the small need for energy for the growing population. This energy of footstep can be used with help of footstep power generator [by using piezoelectric sensors
Smart Self Monitoring Eco Friendly EV Charging Station
Authors:   Assistant Professor/EEE Sri Sairam College of Engineering, Anekal, Bengaluru, . Lakshmi , K V Malini ,   Assistant Professor/EEE Sri Sairam College of Engineering, Anekal, Bengaluru, N E Likitha , M Basavaraj , K Vanfana , Gowda Varun
Published: June 2023

Due to their low expenses for operation and commitment to the environment, electric cars (EVs) are growing in popularity. However, the inadequate charging infrastructure limits their popularity. To keep their vehicles always ready for use, EV owners need access to convenient and dependable charging stations. Thus, promoting the adoption of EVs requires the installation of electric charging stations. A specialized infrastructure called an electric charging station is created to supply electricity to electric vehicles. It is made up of a unit for charging, one for distributing power, and one for communicating. The charging unit is in charge of feeding electricity from the grid to an electric vehicle's battery. The electric car receives power from the charging unit through the power distribution unit. To make sure that the charging process is secure, dependable, and effective, the communication unit is in charge of maintaining communication between the charging station and the electric car. There are two categories of electric charging stations: DC rapid charging stations and AC charging stations. While DC fast charging stations offer a faster charging rate of up to 350 kW, AC charging stations offer a slower rate of up to 22 kW. Although installing DC fast charging stations costs more money, they are essential for long- distance travel and in places where there is a high demand for quick charging.
Spam Detection Using Machine Learning
Authors:   Assistant professor, Department of Computer Science and Engineering Sri Sairam College of Engineering Anekal, India, V Shoba , Shankar Ravi , Shree Ramya , H Dhanush , L Manjunath
Published: June 2023

Deep learning has emerged as a powerful technique for spam detection due to its ability to automatically learn relevant features from raw data. This abstract presents an overview of deep learning approaches for spam detection and highlights their effectiveness in combating the ever-evolving landscape of spam. The challenges of spam detection, includes the use of sophisticated techniques by spammers to evade traditional rule-based filters. Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have shown promise in addressing these challenges by automatically extracting high-level features from spam messages. The Spam Detection Using Machine Learning in this paper employs the Deep Learning model Bi-GRU to detect the spam messages. The advantages of this approach, is that it has the ability to handle large-scale datasets and their potential for transfer learning across different spam detection tasks. It highlights the role of deep learning in enhancing feature representation, model generalization, and the overall accuracy of spam detection systems
Challenges and Open Issues in Cloud Computing and 5G Integration
Authors:   Assistant Professor, Dept. of CSE Sir Sairam College of Engineering, Bangalore, A Suguna , Kumar Abhimanyu , Vats Akarsh , Kumar Arpit
Published: June 2023

Both cloud computing and 5G have the potential to completely disrupt a number of industries, including telecommunications, healthcare, finance, and transportation. Enhanced connectivity, faster data transmission, lower latency, and higher scalability are all promised by the union of cloud computing and 5G. However, the combination of these two technologies also brings about a number of difficulties and unresolved problems. In order to provide insights into potential solutions, this article attempts to investigate the main concerns and obstacles at the junction of cloud computing and 5G. In order to understand the challenges and opportunities that lie ahead, it looks into network design, security and privacy, resource management, and application development. We can enable the seamless integration of cloud computing and 5G, releasing their full potential, by addressing these difficulties.
Smart Home Intelligent System for Elder People Using Raspberry Pi
Authors:   Assistant Prof, Department of CSE Sri Sairam College of Engineering, Bangalore, C Valarmathi , K Deepika , Sanofar Fathima , Keshava Kammala
Published: June 2023

Nowadays, the care of elderly peoples is a significant problem and needs more time and attention from the caregivers.In order to provide home intelligent control function for the elderly more efficiently and conveniently, this paper designed a smart home system controller based on raspberry PI with simple hardware structure and low development cost. The design is implemented by raspberry PI development board and python language, and the fatigue detection algorithm is implemented by OpenCV visual library, Dlib library and EAR algorithm. Through temperature and humidity sensor, infrared extended version, LCD display screen and other hardware intelligent control indoor environment. The test results show that the fatigue state can be accurately detected and the electrical control function can be realized. This design enhanced the intelligence of household control, and met the life demand of energy-saving convenience.
Relativistic Symmetries of Bosonic Particles and Antiparticles in the Background of the Position-Dependent Mass for the Improved Deformed Hulthen Plus Deformed Type-Hyperbolic Potential in 3D-EQM Symmetries
Authors: Maireche Abdelmadjid
Published: June 2023

The bound state solutions of the deformed Klien-Gordon equation have been determined in the three-dimensional extended relativistic quantum mechanics 3D-ERQM symmetries using position-dependent mass (PDM) with unequal scalar and vector potential for the improved Hulthén plus improved deformed type-hyperbolic potential (PDM-SVID(H-TP)) models. PDM with unequal scalar and vector potential for the Hulthén plus deformed type-hyperbolic potential (PDM-(SVH-DTP)) models, as well as a combination of radial terms, which are coupled with the coupling LΘ, which explains the interaction of the physical features of the system with the topological deformations of space-space. The new relativistic energy eigenvalues have been derived using the parametric Bopp shift method and standard perturbation theory which is sensitive to the atomic quantum numbers (j,l,s,m), mixed potential depths (V0S0V1S1), the rest, and perturbed mass (m0,m1), the screening parameter's inverse α, and noncommutativity parameters (Θ,τ,χ). Within the framework of 3D-ERQM symmetries, we have treated certain significant particular instances that we hope will be valuable to the specialized researcher. We have also treated the nonrelativistic limit and applied our obtained results to generate the mass spectra of heavy-light mesons (HLM) such as cc- and bb- under PDM-SE with improved deformed Hulthén plus improved hyperbolic potential (PDM‑ID(H-TP)) models. When the three simultaneous limits (Θ,τ,χ) were applied, we recovered the normal results of relativistic in the literature ( 0,0,0) for the PDM‑ID(H-TP)) models.
ANÁLISE BIBLIOMÉTRICA SOBRE PRÁTICAS PEDAGÓGICAS COM TECNOLOGIAS DIGITAIS EM TEMPOS DE COVID-19
Authors: Xavier Jhonatan Luan de Almeida , Andrade Alexandra Nascimento de , Leandro Cinthya Garcia , Chagas Neiva Costa das
Published: June 2023

Este artigo visa investigar, mediante uma análise bibliométrica, as problemáticas de práticas pedagógicas com Tecnologias Digitais na educação brasileira em tempos de pandemia da Covid-19, no período de 2020 a 2022, na educação básica e superior. A investigação possui uma abordagem qualitativa, com enfoque descritivo. Diante da Análise de Conteúdo, elencaram-se as seguintes categorias: 1) Produção científica sobre ensino remoto emergencial e tecnologias digitais; 2) Principais autores; 3) Desafios e possibilidades com ensino remoto emergencial. De acordo com os resultados, evidencia-se que a pandemia veio descortinar os desafios/dificuldades enfrentados na educação. O estudo nos possibilitou refletir como a introdução das Tecnologias Digitais nas práticas pedagógicas foi sendo uma demanda construída historicamente, bem como os questionamentos/problematizações sobre quais caminhos serão tomados na/para educação pós Covid-19.
Viabilidade do home office para profissionais da área da tecnologia da informação
Authors:   Fatec Rubens Lara, Ortega Sheila Muramatsu , Mariano Thais dos Santos ,   Fatec Rubens Lara, Carvalho Denilson Luiz de ,   Fatec Rubens Lara
Published: June 2023

O surgimento do home office trouxe a oportunidade de inovação e um novo modelo de trabalho, se diferenciando do modo presencial, desde então muitas empresas começaram a implantar este formato remoto em seu ambiente corporativo, sobretudo com as pessoas do ramo de TI. Ao longo do tempo este método foi entrando em ascensão e obtendo uma grande procura, principalmente em meados de 2020, devido às restrições de isolamento social. O presente artigo tem como objetivo analisar os impactos causados na produtividade e motivação do colaborador que se encontra trabalhando em home-office. Trata-se de uma pesquisa exploratória, com abordagem qualitativa, quantitativa e delineamento bibliográfico, no qual foi aplicado um survey via Google Forms para 61 profissionais da área da tecnologia da informação. Os resultados principais atestam que os funcionários se sentem adaptados e aptos no trabalho remoto, desta forma o home office está se tornando uma tendência entre as organizações, podendo ser o estilo de trabalho do futuro.
Produzir ou adquirir no mercado: estudo sobre as possibilidades de integração vertical
Authors:   Faculdade CNEC Unaí, Campos Gevair , Bonato Hércules Lago ,   Faculdade CNEC Unaí, Pereira Rosimeire Fernandes Cruz ,   Faculdade CNEC Unaí
Published: June 2023

A atividade de pecuária leiteira no município de Unaí-MG, assume grande relevância no desenvolvimento socioeconômico da região, pois contribui com as novas oportunidades de trabalho no campo, diminui o êxodo rural, bem como diversifica a atividade econômica e procura favorecer o desenvolvimento do agronegócio de pequenos e médio produtores. Contudo, percebe-se que neste município, existe certa dependência bilateral entre cooperativa e pecuaristas, principalmente no quesito ração nutricional, que limita uma geração de renda satisfatória. Frente a este contexto, buscou-se por meio de questionário semiestruturado, discriminar os impactos percebidos pelos produtores, a respeito da estratégia de integração vertical do agente “ração nutricional” em empreendimentos, que tem como atividade principal, a pecuária leiteira. Para tanto, foram pesquisados 12 (doze) pecuaristas leiteiros, sendo que desses, 6 (seis) produtores já possuíam uma estrutura verticalizada, não dependendo assim, da aquisição da ração por intermédio da única fábrica de ração nutricional da região. A partir das informações levantadas, considera-se que a estratégia de verticalização do agente da cadeia láctea - a fábrica de ração – impacta de forma positiva a partir do momento em que os pecuaristas integram não somente tal processo, mas também os demais elos correlacionados à fabricação de ração nutricional, isto é, os insumos (milho, soja e sorgo) provenientes para fabricação de tal concentrado. Ao contrário, os pecuaristas ficarão vulneráveis às limitações geradas pelos custos de transação, em particular, no quesito aquisição dos insumos necessários à fabricação do concentrado. Considera-se, ainda, que os impactos percebidos pelos pecuaristas leiteiros são diversos, entretanto a classe de empreendedores que não produzem tal concentrado está mais vulnerável à racionalidade limitada, incerteza, oportunismo e fragmentação do poder de barganha, perante os demais agentes da cadeia produtiva.
Educação profissional e língua inglesa: perfil e formação docente à luz de documentos oficiais
Authors:   Centro Estadual de Educação Tecnológica Paula Souza, Silva Luís Fernando Muller da , Ramirez Rodrigo Avella ,   Centro Estadual de Educação Tecnológica Paula Souza, Vieira Thiago da Silva ,   Centro Estadual de Educação Tecnológica Paula Souza, Martinez Helen Regiane
Published: June 2023

Em um contexto de desenvolvimento profissional docente, este artigo tem por objetivo caracterizar o perfil do professor de língua inglesa inserido no âmbito da educação profissional. Para tanto, recorre à análise do Plano de Curso e do Edital de Contratação docente de língua inglesa atuante no Ensino Médio Técnico em Administração da ETEC, vinculada ao CEETEPS. A análise documental também inclui a Base Nacional Comum Curricular (BNCC) a fim de analisar como a língua inglesa é contemplada em paralelo com o Plano de Curso. No contexto histórico sobre o ensino de línguas no ensino profissionalizante e em autores que versam sobre formação identitária, buscou-se suporte teórico para a realização deste trabalho. Os resultados indicam que o professor de língua inglesa tem seu desenvolvimento profissional docente eminentemente atrelado à sua prática de ensino, tendo que revisitar sua identidade docente de forma a ter uma atuação consoante com os conceitos técnicos de cada curso em que venha a atuar.
Biochemical parameters and blood bactericidal activity of young Tsigai sheep
Authors: Ostapchuk P. S. , Postnikova O. N. , Zubochenko D. V. , Usmanova E. N. , Kuevda T. A. , Pikhtereva А. V.
Published: June 2023

The results of the study of blood serum biochemistry and bactericidal activity of the herd replacements sheep of the Tsigai breed, grown in the Prisivash lowland of the Crimean Peninsula are presented. Blood samples were processed in certified laboratories of the organizations of the Republic of Crimea in 2020-2022. Blood serum parameters were determined on the basis of 12 samples of rams and 12 samples of gimmers. A Vitalab Flexor E photometric analyzer was used to process biochemical parameters, a Multiskan thermostatically controlled device was used to process bactericidal activity of blood serum. The animals showed normal creatinine and urea levels: 87.5 ± 0.7 and 6.6 ± 0.2 mmol/l in rams, respectively, and 85.5 ± 1.2 and 6.4 ± 0.4 mmol/l in gimmers. The reduced glucose level (1.6 ± 0.1...1.7 ± 0.1 mmol/l) in the blood serum of young animals is probably related to active exercise in hot weather. The observed amount of transamination enzymes caused an increase in the Ritis coefficient in rams up to 2.5 units, in gimmers up to 3.8 units, which indicates the load on the heart muscle of the animals during long walks in the heat. Potassium content near the lower normal limits (4.3 ± 0.01...4.7 ± 0.1 mmol/l) and slightly reduced phosphorus level (1.3 ± 0.01...1.2 ± 0.01 mmol/l) indicate the need for additional supplementation of growing young animals with mineral premixes in summer period. Average BSBA values increased in gimmers, significantly exceeding this index in comparison with rams by 45.826.6 abs.% (p ≤ 0.001). In rams, the highest BSBA values were observed for S. aureus at 10 hours of exposure (36.82 ± 2.19%), while the growth of E. coli was suppressed to 7.23 ± 1.34%, which is, among other things, the factor provoking digestive problems. In the gimmers, a satisfactory skin condition was recorded due to the high level of BSBA against S. aureus (up to 35.30 ± 2.64% at 10 hours of exposure).
Heydər Əliyevin İdeyaları Azərbaycan Xalqının Modern İnkişaf Strategiyasının Nəzəri Mənbəyidir
Authors: Əliyev Q.
Published: June 2023

Bəşər tarixində, xalqların tarixində ideyalar və ideologiyalar həmişə böyük rol oynamışlar. İdeyaların meydana gəlməsi tarixi qədimdir və onlar insanları ilahi qüvvə kimi əzmkar fəaliyyətə kökləməkdədirlər. Milli ideya axtarışları bütün dövrlərdə Azərbaycan ictimai-fəlsəfi fikrini düşündürən məsələlərdən olmuşdur. Qneseoloji müstəvidə ideyasız nə təfəkkür prosesini, nə də praktikada onun fikri məhsullarını təsəvvür etmək mümkün deyildir.
FINANCIAL BENCHMARKING OF ENERGY COMPANIES IN THE BORSA ISTANBUL
Authors: AKSU Melek , GEÇER Ebru
Published: June 2023

The purpose of this paper is to evaluate the financial performance of the sixteen energy companies listed in Borsa Istanbul in terms of cash sufficiency and cash efficiency and benchmark them in 2020 and 2021; during the COVID-19 period by using multi-criteria decision making methods. This paper utilizes the Method Based on the Removal Effects of Criteria (MEREC) technique to determine the objective weights of cash ratios. Energy companies’ ranking is estimated using the Grey Relational Analysis (GRA) approach. In the case of the financial performance evaluation problem, 7 performance attributes and 16 alternative layouts were considered. The results show that most of the energy companies have weak financial performance in 2020 and then improve their financial performance in 2021.
Examination of Posters Aimed at Creating Social Responsibility and Awareness
Authors: Karaşahinoğlu Şadi , Sürücü Saniye Nur
Published: June 2023

Sosyal sorumluluk ve farkındalık yaratma projeleri, toplumda pozitif değişimler sağlamayı hedefleyen önemli girişimlerdir. Bu tür projeler, genellikle çeşitli sosyal sorunlara dikkat çekmek, farkındalık oluşturmak ve insanların hayatlarını
iyileştirmek için tasarlanır. Örneğin, çevre koruma projeleri, doğal kaynakların sürdürülebilir kullanımı ve iklim değişikliği gibi önemli konulara odaklanırken, eğitim projeleri, okuryazarlık oranlarını artırmak ve dezavantajlı
gruplara erişim sağlamak gibi amaçlar güdebilir. Bu projeler, sivil toplum kuruluşları, şirketler ve bireyler arasında iş birliği ile hayata geçirilir ve genellikle gönüllülerin katılımını teşvik etmektedir. Sosyal sorumluluk ve
farkındalık yaratma projeleri, toplumun her kesiminde dönüştürücü değişimler yaratma potansiyeline sahip önemli araçlardır. Bu amaçla yapılan faaliyetlerde grafik tasarım da işlevsel önemli roller üstlenmektedir. Özellikle son
yıllarda gündemi meşgul eden aile içi şiddet, kadına yönelik şiddet, madde bağımlılığı, ekran bağımlılığı, çevresel sorunlar, geri dönüşüm, savaş, ırkçılık, göç benzeri konular grafik tasarım yarışmalarında grafik çevrelerinde
sıklıkla işlenmekte toplumda bir farkındalık oluşturulmaya çalışılmaktadır. Bahsi geçen konular için hazırlanan afişler, büyük ölçekte görsel iletişim sağlayarak, mesajı hedef kitleye kolayca aktarabilir. Sosyal sorumluluk ve farkındalık
yaratmak isteyen organizasyonlar, çarpıcı bir afişle toplumun dikkatini çekebilir ve insanları o soruna karşı bilinçlendirebilir. Çalışma kapsamında afişin tarihsel süreci kısaca aktarılmış; konuyla alakalı farklı ülkelerden afiş
örnekleri incelenmiş, betimsel analiz yöntemi ile uzman görüşleri ve kuramsal yaklaşımlar aktarılmaya çalışılmıştır. Elde edilen veriler ışığında konuyla ilgili paydaşlara Türkçe bir kaynak oluşturulması aynı zamanda literatüre
katkı sağlanması hedeflenmiştir.
Game-Based Learnıng, Collaboratıve Learnıng, and Peer Assessment In The Photography Department
Authors: Er Murat Han
Published: June 2023

The aim of the current study is to explore the Attitudes of Photography Department Students toward Game-Oriented Learning, Peer Assessment, and Collaborative Learning and the effects of Game-Oriented Learning, Peer Assessment, and
Collaborative Learning on their learning. Participants are (N:23) students of the Faculty of Fine Arts Photography Department. The current research adopted a mixed method (qualitative and quantitative) design with two groups; Experimental
and Control. The treatment lasted for 7 weeks. The experimental group received treatment of Game-Based Learning, Collaborative Learning, and Peer Assessment with the help of Kahoot Quizzes, Word Puzzles, Board Games, Peer Evaluation,
Research Projects, and Presentation Tasks whereas the control group received routine teaching procedures. Data collection tools are; Research Projects, Research Project Presentation Scores, and Semi-structured Interviews. Quantitative
data is analyzed through the Independent Sample T-test, Kolmogorov-Smirnova Test, and Shapiro-Wilk Test, and Qualitative data is analyzed via Content Analysis by creating codes and themes. As the study findings of the current research
showed, the experimental group that received the treatment outscored the comparison group. The current research is hoped to contribute to the existing knowledge of Peer Assessment / Feedback, Game-based learning, Gamification,
and Collaborative learning, especially in photography education along with the practical applications in the field of photography.
Opinions on the Problems Faced by School Principals: A Qualitative Study
Authors: Çatal Mehmet , Nakcı Tarık , Uysal Zeki Ufuk , Şen Sinem
Published: June 2023

Araştırmanın amacı okul müdürlerinin karşılaştığı sorunlara yönelik görüşlerini belirlemektir. Bu çalışmada, nitel yöntem benimsenmiştir. Araştırma fenomenolojik desende bir araştırmadır. Araştırmanın katılımcılarını Ankara”da MEB”e
bağlı okullarda görev yapan ortaokul okul müdürlerinden 12 kişi oluşturmaktadır. Araştırmada veriler görüşme yoluyla elde edilmiştir. Görüşme formunda okul müdürlerinin yaşadığı problemlere yönelik 4 açık uçlu soru bulunmaktadır.
Bu çalışmada analizler içerik analizi ile çözümlenmiştir. Araştırmadan elde edilen sonuçlara göre okul müdürlerinin yaşadığı sorunlar beş farklı tema üzerinde odaklanmaktadır: velilerin beklentilerinin çeşitliliği, iletişim kopukluğu,
veli tutumları, disiplin sorunları, rekabet ve karşılaştırma. Öğretmenlerle yaşanan sorunlar ise beş farklı tema üzerinde odaklanmaktadır: iletişim ve işbirliği, öğretim ve programlar, değerlendirme ve performans, iş yükü ve zaman
yönetimi, öğretmen gelişimi ve desteklemesi. Öğrencilerle yaşanan sorunlar ise beş farklı tema üzerinde odaklanmaktadır: disiplin ve davranış sorunları, akademik performans ve motivasyon, öğrenci rehberlik ve psikososyal destek,
öğrenci çatışmaları ve zorbalık, öğrenci katılımı ve öğrenci liderliği. Çözüm önerileri ise etkili iletişim ve işbirliği, eğitim politikalarının ve disiplin kurallarının gözden geçirilmesi, öğretmen ve personel gelişimi ve desteklenmesi,
öğrenci katılımının ve öğrenci merkezli yaklaşımın güçlendirilmesi, ailelerin ve toplumun okula dahil edilmesi ve desteklenmesi olarak özetlenebilir.
Problems Experienced by Postgraduate Teachers
Authors: Torun Ateş Zehra , Telli Bekir , Aras Tuğçe , Beyazateş Hava
Published: June 2023

Bu araştırmanın amacı, lisansüstü eğitim almış öğretmenlerin yaşadıkları sorunları tespit etmektir. Nitel araştırma yöntemi ve fenomenoloji deseni kullanılarak oluşturulan bu çalışmaya, Türkiye'nin çeşitli illerinde ve üniversitelerinde
yüksek lisans veya doktora eğitimlerini tamamlamış ve Milli Eğitim Bakanlığı'na (MEB) bağlı kurumlarda çalışan 14 öğretmen katılmıştır. Veriler, araştırmacının yarı yapılandırılmış görüşmeler için geliştirdiği bir form kullanılarak
toplanmıştır. Öğretim elemanlarının lisansüstü eğitimde yaşadıkları zorluklara ilişkin sorular bu şekilde yöneltilmiştir. Araştırmadan elde edilen veriler içerik analizi ve betimsel analiz kullanılarak analiz edilmiştir. Araştırma
sonuçlarına göre: kendisiyle görüşülen öğretmenlerin lisansüstü eğitimin getirilerine ilişkin görüşleri bireysel getiriler, sosyal getiriler ve ekonomik getiriler olarak 3 tema altında değerlendirilmiştir. Lisansüstü eğitimin bireysel
getirileri, öğretmenlere bilimsel katkı sağlaması, mesleki açıdan katkı sağlaması ve idarecilikte puan sağlamasıdır. Lisansüstü eğitimin sosyal getirileri, sosyal statü kazanma ve sosyal çevre elde etmedir. Lisansüstü eğitimin
sosyal getirileri ise öğretmenlere sağlayacağı maaş ve ek ders ücretlerinde artış ve kademe ve derece artışı sağlama olarak sıralanmıştır.
Anatolian High School Teachers' Views on Professional Ethics
Authors: Bilgin Mustafa , Karagöz Mehmet , Aydemir Hüsamettin , Hatipoğlu Üzeyir
Published: June 2023

Anadolu Lisesi öğretmenlerinin meslek etiği ile ilgili görüşlerini belirlemeyi amaçlayan bu çalışmada nitel yöntem kullanılmıştır. Araştırma nitel araştırma yöntem ve tekniklerinden durum araştırması şeklinde tasarlanmıştır. Araştırmanın
çalışma grubunu Ordu ili Ünye ilçesinde Anadolu liselerinde görev yapan 14 öğretmen oluşturmaktadır. Bu çalışmada sistematik olmayan örnekleme yöntemlerinden amaçlı örnekleme yöntemi kullanılmış ve bu örnekleme yönteminin çeşitlerinden
biri olan maksimum çeşitlilik örneklemesi ile çalışmanın örneklemi belirlenmiştir. Bu çalışmada yarı yapılandırılmış görüşme tekniği kullanılmıştır. Veri toplama süreci katılımcıların uygunluk durumlarına göre yüz yüze şeklinde
yapılmıştır. Bunun sonucunda ise verilerden uygun tema ve kategoriler oluşturulmuş uygun kodlamalarla içerik analizi yapılmıştır. araştırma sonuçlarına göre: Öğretmenlerin öğrencilere yönelik mesleki etik normlarla ilgili görüşleri
teması altında, öğretmenlerin öğrencilere iyi rol model olmaları, saygılı, adil ve dürüst olmaları gerektiği vurgulanmıştır. Ayrıca, öğretmenlerin öğrencilerin özel hayatları ve durumlarıyla ilgili gizlilik ve güvenilirlik ilkelerine
dikkat etmeleri gerektiği belirtilmiştir. Öğretmenlerin eğitimciler ve okul yönetimine yönelik etik normlarla ilgili görüşleri teması altında, öğretmenlerin okul müdürlerine ve meslektaşlarına saygılı olmaları, mesleki etik kurallarına
uyum sağlamanın kurum başarısını artıracağı ve okul kültürünü oluşturacağı görüşleri dile getirilmiştir. Öğretmenlerin velilere ve topluma yönelik etik normlarla ilgili görüşleri teması altında, öğretmenlerin toplumdaki etik normları
temsil etme sorumluluğuna sahip olmaları, velilerle iletişime açık olmaları, velilerle iş birliği yaparak öğrencilerin gelişimine katkıda bulunmaları önemli görüşlerdir.
OPINIOS OF PRE-SCHOOL TEACHERS ON GAME-BASED EDUCATION IN PRE-SCHOOL EDUCATION
Authors: Dogan Ayşenur , Yılmaz Tuba , Çiftçi Ahmet
Published: June 2023

Bu çalışma, Batman’daki okul öncesi kurumlarda görev yapan okul öncesi öğretmenlerinin bakış açısıyla oyun temelli eğitimi değerlendirmeyi amaçlayan derinlemesine görüşmenin bulgularını sunmaktadır. Bu doğrultuda çalışmada Batman’daki
okul öncesi kurumlarda görev yapan 15 okul öncesi öğretmeni ile yüz yüze görüşme gerçekleştirilmiştir. Görüşmelerde araştırmacılar tarafından literatür bulgularına dayalı olarak hazırlanan yarı yapılandırılmış görüşme formu kullanılmıştır.
Elde edilen bulgular MAXQDA programı kullanılarak analiz edilmiştir. Araştırmanın sonunda çocukların ağırlıklı olarak tablet gibi dijital materyalleri tercih ettikleri, oyun temelli eğitimin çocuklarda sosyalleşme, eleştirel düşünme,
özgüven, yaratıcılık ve problem çözme becerisi açısından önemli faydaları olduğu belirlenmiştir. Ayrıca öğretmenlerin oyun temelli eğitimde oyunların herkes uygun olmaması, sürenin kısıtlı olması ve oyun temelli eğitimde yeni tekniklerin
geliştirilmesinin zorluğu alanlarında zorluklarla karşılaştıkları görülmüştür.
Teachers' Perceptions of School Culture: A Qualitative Study
Authors: Pandul Ocaklı Kübra , Kars Zeynep Gökalp , Üstündağ Fatma Ağar , Atmaca Bayram
Published: June 2023

Araştırmanın temel amacı öğretmenlerin okul kültürü algılarını belirlemektir. Araştırma nitel araştırma yöntem ve tekniklerinden durum araştırması şeklinde tasarlanmıştır. Çalışma grubunu 11 öğretmen oluşturmakta olup, katılımcılar
amaçlı örnekleme yöntemiyle belirlenmiştir. Bu çalışmada yarı yapılandırılmış görüşme tekniği kullanılmıştır. Veri toplama süreci katılımcıların uygunluk durumlarına göre yüz yüze yapılmıştır. Toplanan verilerden uygun tema ve
kategoriler oluşturulmuş uygun kodlamalarla içerik analizi yapılmıştır. Araştırma sonuçlarına göre, öğretmenlerin okul kültürü algıları üç grupta toplanmaktadır: %27'si okul kültürünün var olduğunu ifade ederken, %36'sı zayıf veya
sürekli olmadığını belirtmiş ve %36'sı ise okul kültürünün olmadığını bildirmiştir. Ortak değerler, iş birliği ve yardımlaşma, etik kurallar ve okul kuralları ve törenler gibi dört tema altında toplanan değerler, iyi bir okul kültürünü
oluşturmak için önemlidir. Katılımcılar, insan ilişkileri ve dayanışma, demokrasi ve iş birliği, planlama ve gelişim gibi temalar altında iyi bir okul kültürünün özelliklerini vurgulamışlardır. Ayrıca, %55'inin sembol veya logosu
olan okulların bulunduğu, %64'ünün sembol veya logonun okullar için gerekliliğine inandığı tespit edilmiştir.