bluuebunny/crossref_metadata_2025 huggingface dataset:
Improvement of Hand Feeling Properties of Fabrics Containing Recycled Fibers by Enzymatic Treatments
Authors: Çelebi Süleyman Şamil , Yılmaz Burcu
Published: January 2024

Clothing is one of the most basic needs for human survival. For this reason, the textile sector is one of the sectors with the highest consumption. However, the use of chemicals, water and natural resources in this large sector has increased to unbelievable levels. Today, there is a need for studies under the name of sustainability due to increasing population and decreasing natural resources. The most basic element in the studies is observed as recycling. However, it is observed that the hand feeling properties of fabrics containing recycled fibers are not meet with market needs. In this study, different enzyme combinations were applied to undyed fabrics by conventional methods in order to improve the hand feeling of fabrics containing recycled fibers. The subjective hand feeling evaluations, whiteness-yellowness values and hydrophilicity values of the obtained fabrics were compared. As a result of the tests, positive or negative changes were observed in the fabric behavior and these changes were evaluated as a result of the application of different enzyme combinations with different methods. Enzyme applications positively affected the hydrophilicity of the fabric. Positive and negative results of different enzyme applications were observed in the whiteness-yellowness values of the fabric.
Advancing Workplace Safety: A Proactive Approach with Convolutional Neural Network for Hand Pose Estimation in Press Machine Operations
Authors: Atmaca Şuayip Aykut , Hamad Hüseyin , Gençosman Burcu Çağlar
Published: January 2024

Press machine operations are integral to goods production across industries, yet worker safety faces significant risks. Machine misuse and non-compliance with safety standards contribute substantially to these incidents. This study addresses the mounting concerns regarding workplace incidents through a proactive solution—a Convolutional Neural Network (CNN) model crafted to prevent press machine misuse by monitoring workers' hand placement during operation. The model that we suggest ensures adherence to safety standards. The CNN model does not replace the role of human operators but acts as a supportive layer, providing instant feedback and intervention when deviations from safety standards are detected. In conclusion, this research endeavors to pave the way for a safer and more secure industrial environment by leveraging the capabilities of advanced technology. The proposed CNN model addresses current concerns and sets a precedent for future advancements in ensuring workplace safety across diverse industries.
Experimental and statistical investigation of the surface quality of 3D printed products using STH filament material
Authors: İpekçi Ahmet
Published: January 2024

Three dimensional (3D) printers have entered every aspect of our lives. Especially home users use 3D printers in many projects within the scope of do-it-yourself (DIY) projects. In addition, as a control mechanism in the transition from design to production, especially in areas such as prototyping, it almost eliminates the margin of error. However, the types of raw materials that can be used in 3D printing processes are relatively limited compared to other production methods. Features such as suitability for production in layers and rapid solidification come to the fore. Additionally, cooling deformations such as shrinkage also reduce the variety of materials that can be used. ABS, which is the most commonly used thermoplastic material, is also used in 3D printers. However, since ABS material has high cooling deformations such as shrinkage in production, errors occur frequently. This makes the use of the material difficult. In addition, the gases released during production cause discomfort to people. For this reason, PLA material was developed as a biomaterial based on corn starch. Easy to produce, shrinkage and cooling errors are almost non-existent. It is environmentally friendly and there is no gas released during production. However, when using PLA material, certain properties of the products such as abrasion, thermal resistance and hardness are weak in meeting the needs. For this reason, STH filament material was introduced to the market with the aim of developing a material with high thermal stability like ABS and easy to produce like PLA. Just like PLA, STH filament material is also a biomaterial and was developed for industrial use. Compared to ABS material, it is more resistant to impact environments and its thermal resistance is approximately twice that of PLA material. For this reason, in our study, parameter optimization was carried out to optimize the surface quality of 3D printed products using STH material. Layer thickness (0.15 - 0.25 mm), printing speed (60 - 100 mm/s) and extrusion width (0.35 - 0.45 mm) were preferred as variable parameters affecting the surface quality. An experimental setup consisting of 20 experiments was created using the Response Surface Method (RSM), keeping all other parameters constant. The printed 25x25x25 mm cube samples were subjected to surface roughness measurement in 3 axes. According to the results, as a result of statistical calculations, the impact ratios of the effective parameters and the most effective production parameters were estimated.
Influence of Polyvinyl Alcohols on Paper Straw Adhesives and Effect on Straw Resilience
Authors: Alptoğa Özge , Önen Ali , Akarsu Dülgar Cansu
Published: January 2024

Paper straws are gaining popularity worldwide due to the increasing demand for sustainability and government policies that aim to curb the use of single-use plastics. However, there have been concerns about the long-term quality and durability of paper straws when used with liquids. Paper straw adhesives are specially formulated adhesives used to bond the various layers of paper straws together and play a crucial role in maintaining the strength and functionality of paper straws by offering strong bonding and resistance against moisture. Typically, these adhesives are formulated using vinyl ester homopolymers or copolymers, and they can incorporate polyvinyl alcohol as an additive to adjust properties like tackiness, setting time, open time, and drying time. In this study, the water resistance performance of different paper straw adhesives was evaluated, which were prepared using various types of polyvinyl alcohols based on their molecular weight and hydrolysis degree.
Biobased Alkyd Acrylic Hybrid Core Shell Approach
Authors: Erdoğan Beyhan , Sen Ozgur
Published: January 2024

The main objective of this work was to synthesize bio based alkyd-arcylic hybrid emulsion by using core shell approach.  Step by step growing polymerization was used for the preparation of the bio-based alkyd resin. Bio-based sebacic acid was used in the synthesis. In the core shell approach; shell part contains acrylic polymer, core part contains bio based alkyd emulsion, which was synthesized by phase inversion. The acrylic shell was synthesized in the presence of the alkyd resin by the emulsion polymerization method.
Predictive Analytics for Production Line Downtime: A Comprehensive Study Using Advanced Machine Learning Models
Authors: Saylam Alper , Atlı Haluk
Published: January 2024

This study delves into predictive analysis, employing advanced machine learning models to predict downtime in production lines. The research follows a detailed methodology, starting by exploring production lines and their conditions. The focal point is Overall Equipment Effectiveness (OEE), which includes availability, performance, and quality, with a special focus on downtime impacts. Through an OEE tracking system, downtime is categorized into planned and unplanned, offering insights into critical components affecting production line availability. The datasets cover three years, including runtime, unplanned downtime due to equipment failures, and idle times, emphasizing instances prone to frequent equipment failures.

 

Examining relationships through a heatmap reveals essential correlations crucial for accurate predictions. We outline the feature selection process and fundamental data preprocessing steps to maintain dataset integrity. Introducing machine learning models such as Xgboost, Prophet, Multi-Layer Perceptron (MLP), and Long Short-Term Memory (LSTM), each model is carefully configured with past window parameters and forecast horizons. To prevent overfitting, the study employs K-fold cross-validation and early stopping mechanisms, ensuring robust model performance.

 

Two datasets, comprising runtime, equipment-induced downtime, and idle time, are utilized for analysis. Data preprocessing involves a heatmap for characteristic-target correlation and basic steps like mean-based null value imputation. Results, presented in terms of Mean Absolute Error (MAE), underscore the superior performance of LSTM. The discussion interprets these findings, confirming the potential of LSTM for downtime prediction, supported by visualizations comparing actual and predicted downtimes. Future directions include comprehensive model comparisons, expanding metrics, and increasing datasets, building on the solid foundations established by this study.
Conceptual Design And Prototype Production Of Innovative Hydraulic Walking Power Steering Controlled Scissor Lift Platform
Authors: Kart Sergen , Solmazyiğit İzzet , Ovalı İsmail , Tan Engin
Published: January 2024

Nowadays, more than the workforce is needed to transport heavy tonnage loads. So, movable scissors platforms are used when it is desired to transport loads from one location to another and lift them to a certain level. In this study, for the first time, the concept design and prototype production of the new generation scissor lift platform, which has a hydraulically assisted and automation-managed steering control system that will enable loads up to 6 tons of capacity to be transported and delivered to the appropriate height with precise control, has been carried out within Önder Group Inc. Design Center as a domestic product. Within the scope of the study, an automation-controlled hydraulic steering system was developed, unlike the manual steering control system used in equivalent models. This way, easy driving and control of high-tonnage mobile scissor lifts have been achieved. In addition, with the innovative linear bearing hydraulically driven movable upper table design, the materials placed on the table can be moved left and right precisely without moving the platform, thus providing ease of material assembly and time-saving. Within the scope of the study, static strength calculations were made using finite element analysis of the designed system. As a result of the analyses, it was determined that the stresses occurring in the system under service conditions affect the components homogeneously and that no plastic deformation will occur in the entire system. Thus, the design can be used safely.
IoT security with blockchain: A review
Authors: Şentürk Arafat , Terazi Selami
Published: January 2024

The relationship between the Internet of Things (IoT) and Blockchain has emerged to address the challenges of security, data integrity and transparency of IoT devices. Blockchain, with its distributed and decentralized nature, ensures reliable data transmission between IoT devices and security by preventing data manipulation. It also enhances the security and transparency of IoT applications by supporting automated and trusted transactions through smart contracts. In this context, Blockchain plays a critical role in making the IoT ecosystem more reliable and effective. In this study, we review studies that emphasize the importance of Blockchain technology for IoT security and propose various solutions. The proposed solutions include scalable frameworks for secure transactions in dynamic applications, Hyperledger Sawtooth-based frameworks that support secure logging of industrial activities, specialized access control mechanisms such as Trust-Based Access Control Mechanism (TABI), and IoT Cop monitoring framework that offers advanced security features. In addition, blockchain-based access control protocols, authentication systems and security models are aimed at enhancing IoT security. While most of the studies in the literature focus on the current challenges of IoT and Blockchain integration, they also reveal future research opportunities. These studies are briefly mentioned and the necessary ones are expressed in a table. In this way, it is aimed to create the necessary infrastructure for those who will work in this field.
Enhancing Image Content Analysis in B2C Online Marketplaces
Authors: Yüksel Hilal Müleyke , Mut Arma Deger , Ozpinar Alper
Published: January 2024

The automation of image analysis in Business-to-Consumer (B2C) online marketplaces is critical, especially when managing vast quantities of supplier-uploaded product images that may contain various forms of objectionable content. This study addresses the automated detection of diverse content types, including sexual, political, and disturbing content, as well as prohibited items like alcohol, tobacco, drugs, and weapons. Furthermore, the identification of competing brand logos and related imagery is examined for competition and ethical reasons. The research integrates custom transfer learning models with the established Microsoft and Google Vision APIs to enhance the precision of content analysis in e-commerce settings. The introduced transfer learning model, trained on a comprehensive dataset, exhibited a significant improvement in identifying and categorizing the specified content types, achieving a notable true positive rate that surpasses traditional API performances. The findings reveal that the “Pazarama Model”, with its transfer learning framework, not only delivers a more accurate and cost-effective content moderation solution but also demonstrates enhanced efficiency by reducing the image processing time and associated costs. These results support a shift toward specialized transfer learning models for content moderation, advocating for their adoption to maintain content integrity and enhance user trust within e-commerce platforms. The study advocates for continued refinement of these models, suggesting the integration of multimodal data to further advance the content analysis capabilities in B2C environments
Strength Comparison of Swing Tower Designs with Finite Element Method in Backhoe Loaders
Authors: Erkan Ali Doğu
Published: January 2024

Backhoe-Loader construction machines are exposed to several different loads within the scope of their usage areas. The degree of freedom of the attachment is one of the elements that ensures the functionality of the excavating zone. The movement of the attachment on the horizontal plane is provided with hydraulic cylinders. The forces and moments that comes from the attachment area are transferred directly to the upper chassis. It is critical that the swing tower located between the upper chassis and the attachment, can withstand these transferred loads. In this study, static structural analysis of different designs of the swing tower in the attachment area for HİDROMEK backhoe-loader machines was carried out with the finite element package program MSC Marc. The forces and moments that the HİDROMEK construction machine is exposed to due to working conditions were evaluated and applied as input in the analysis. The accuracy of the analysis method was verified by the strain gauge test performed on a model selected from the designs examined. As a result of the study; the models were compared in terms of strength, and the effects of the changes made on the designs on the strength were interpreted.
E-Ticaret Siteleri için Kampanya Otomasyonu Tasarlanması ve Geliştirilmesi
Authors: Güler Özge , Yetişkul Hatice , Uluay M.Furkan , Bozkurt Alper , Kazaskeroğlu Hakkı , Ekici Furkan
Published: January 2024

Bu makalede, bireysel ve kurumsal satıcılara, IT alt yapısı olmaksızın, hızlı ve güvenli bir e-ticaret deneyimi sağlamak için geliştirilmesi planlanan Paycell Vitrin projesi detayları ile aktarılmaktadır. Paycell Vitrin platformu ile, birey ve kurumlara kolaylıkla kendi e-ticaret sitelerini kurmalarına olanak sağlamaktadır. Proje kapsamında, Paycell ödeme altyapısı üzerinden ödemelerini gerçekleştiren müşterilere yönelik, kampanyalar (çekiliş hakkı, puan, indirim kuponu v.b.) tanımlanmasına olanak veren, kampanyaların içeriklerine uygun ödeme davranışları gösteren müşterileri gerçek zamanlı olarak tespit edebilen, kampanya kullanımları ile ilgili raporlamalar üretebilen bir kampanya yönetimi otomasyonu yeteneği eklenmesi tasarlanmıştır. Proje kapsamında geliştirilecek yazılım, Paycell ödeme altyapısını ve kampanya yönetimi modüllerini entegre ederek, kullanıcılarına benzersiz bir alışveriş deneyimi sunmayı amaçlamaktadır. Makalede, projenin e-ticaret altyapıları, ödeme sistemleri ve kampanya yönetimi alanlarındaki izlediği yöntemler ve yaklaşımlar anlatılmaktadır. Bu makale, Paycell Vitrin projesi için motivasyonları, uygulanacak metodolojiyi, beklenen faydaları ve değerlendirme yöntemlerini ayrıntılı olarak tartışmakta ve gelecekteki çalışmalar için öneriler sunmaktadır.
Development of Breathable, Environmentally and Human-Friendly Cloth Mask That Meets Thermal Comfort Conditions and A Continuous Machine That Enables Industrial Production of This Mask
Authors: OKYAY Neslihan , IŞIK Fatih , Kes Sümeyye
Published: January 2024

Ever-changing viruses that have threatened human health from past to present have greatly changed people's lifestyles. The most important precaution in infectious diseases is hygiene. Although hygiene is important in epidemics, the use of masks is the most effective method of protection in respiratory diseases. Since epidemic and infectious diseases remain stable in the incubation phase in people who do not have chronic diseases and have a strong immune system, these people without symptoms of the disease can be carriers. In addition, masks are used as protective equipment to prevent occupational diseases that may occur in sectors such as textiles. For this reason, within the scope of the study, it is suitable for multi-use with the use of sustainable class A natural raw materials, which prevents the formation of bacteria in all social areas even if there are no symptoms of disease, provides comfort with its coolness and soft structure, provides thermal comfort conditions for long-term use with its antistatic feature. It is aimed to develop an environmentally friendly cloth mask and a continuous system that performs serial pleating and ironing processes that will accelerate its industrial production.
B2B Customer Engagement Customer Behaviour Forecast Application
Authors: Oskooei Amirkia Rafiei , Adak Tahir Enes
Published: January 2024

The paper presents the "Casper Customer Behavior Forecast Application" a creative project focused on the creation of an advanced decision support software system. The purpose of this system is to closely observe, fully analyze, and precisely predict the behaviors of Casper Business-to-Business (B2B) clients. Our research study implements an innovative methodology by focusing on the enhancement of client interactions through the utilization of RESTful services. Our objective is to reimagine the future of customer relationship management by analyzing and forecasting client behavior in the business-to-business (B2B) setting. The project involves a comprehensive methodology that incorporates extensive study, complex software design, and careful data analysis. In more detail, it involves extensive monitoring of consecutive RESTful interactions carried out by business-to-business consumers across a period of time. By leveraging the capabilities of modern machine learning and deep learning algorithms, our objective is to develop prediction models that establish novel benchmarks within the industry. The methodology employed in this study includes the development of labeled behavioral datasets and the utilization of a supervised machine learning framework. The evaluation of model performance will be performed systematically using a range of metrics, such as F-Score and Accuracy, in order to establish the model's robustness and reliability in making accurate predictions. The expected outcomes of this project have the potential to bring about significant changes. Primarily, the integration of machine learning and deep learning algorithms will provide our company with an important amount of knowledge. Our organization will obtain an innovative software solution that possesses the capability to precisely forecast the future actions of B2B customers. This results in enhanced inventory management and a significant reduction in client waiting periods, resulting in increased levels of customer satisfaction. Additionally, this study has the potential to make significant additions to the global academic body of knowledge in the domains of machine learning and deep learning. In simple terms, the project titled "Casper Customer Behavior Forecast Application" embodies an innovative and academic effort aimed at enhancing customer engagement and predicting customer behavior within the context of business-to-business (B2B) interactions. This research project carries considerable importance, both in its potential to reinvent the field of customer relationship management and its ability to contribute to the global academic conversation on machine learning and deep learning.
Using AI-Powered Vehicle Identification System in Gas Stations (AI-VIS)
Authors: Usta Uygar , Kaya Sumer Erkan , Barış Savas
Published: January 2024

In many countries around the world, retail fuel sales have to be recorded and monitored with specific vehicle information such as license plate by government institutions and station managers. Different hardware methods are utilized to achieve this goal such as UHF (Ultra high frequency) vehicle identification tags installed on the vehicles. To extract data from the tags, RFID-UHF antennas need to be installed on the nozzle for the recognition of vehicles today, which implies an increase in hardware costs per vehicle. Additionally, the electronic waste generated by the hardware used for vehicle recognition hurts the environment. In this study, the aim is to provide a comprehensive solution that enhances the modern automotive world's efficiency, security, and convenience. The core objective of this study is to design and implement a cutting-edge Vehicle Identification System (VIS) that leverages the power of Artificial Intelligence and Computer Vision. The proposed system has the ability to recognize various critical attributes of vehicles at gas stations, including the vehicle make, license plate, vehicle type, color, and fueling information. The system utilizes advanced Image Processing and Deep Learning techniques to achieve precise identification and classification, improving security, and law enforcement.
The Effect Of Pre-Forming On The Forged Part In the Hot Forging Process
Authors: Aybar Emre , Kılınç İbrahim
Published: January 2024

Analysis programs based on finite elements have great importance in verifying the design and production processes. In the automotive industry, many parts are produced by hot forging process. The die designs of the parts to be produced by hot forging process are verified by finite element analysis programs. In this study, the importance of pre-forming in hot forging process is investigated by using finite element method and the necessity of pre-forming is indicated by the analysis. In the analysis phase of the study, hot forging finite element analysis was performed for 4 different cases of the torque rod housing that one of the suspension parts of heavy commercial vehicles part using FORGE NxT program. In addition, experimental studies were carried out for these cases and the results obtained were compared with the analysis results. The results obtained as a result of the analysis and experimental study were found to be consistent with each other. It has been observed that pre-forming is very important and necessary in the hot forging process in order to increase die life and to reduce die runaway, crease and non-filling problems.
Çift Katmanlı Veri Modeli ile E-Ticaret Sektöründe Stratejik Veri Yönetimi ve Analizi
Authors: Karabacak Abdulkadir , Burgaz Turgay , Okay Ergün
Published: January 2024

Bu araştırma, e-ticaret sektörüne özgü ihtiyaçları karşılayacak şekilde tasarlanmış, ayrıntılı ve esnek bir veri modelinin geliştirilmesine odaklanmaktadır. Çalışmanın esas katkısı, veri ambarı ve analitik süreçleri kapsayan ve bu iki katman arasında veri akışını etkin bir biçimde yöneten Intra-ETL süreçlerine sahip yenilikçi bir veri modelidir. Bu model, e-ticaret firmalarının müşteri davranışları ve satış trendlerini daha etkin analiz etmelerine imkan tanıyarak, bu analizlere dayalı stratejik kararlar alabilmelerine olanak sağlamaktadır. Geliştirilen model, böylelikle e-ticaret sektörünün veri yönetimi ve analiz yeteneklerini ilerleterek, sektörün özgül gereksinimlerine hızlı ve doğru çözümler sunabilen bir veri altyapısı oluşturmayı hedeflemektedir. Gelişen teknoloji ile artan veri hacmi, farklı kaynaklardan gelen verilerin anlamlı bir şekilde işlenmesi ve raporlanmasını gerektirmektedir. Bu ihtiyaç, perakende sektörü gibi müşteri taleplerine hızla yanıt verilmesini gerektiren alanlarda daha da önem kazanmaktadır. Müşteri davranışlarını derinlemesine analiz ederek onların karşılaştıkları problemleri belirlemek, müşterilerin çevrimiçi davranışlarını ve alışkanlıklarını inceleyerek ihtiyaçlarını tespit etmek ve buna yönelik aksiyonlar almak için uygun bir altyapı gereklidir. Bu bağlamda, verilerin etkin bir şekilde toplanması ve yönetilmesi büyük önem taşımaktadır. Önerilen çalışmada, perakende sektörüne hitap edebilen ve aynı zamanda analitik ihtiyaçlara da cevap verebilen, çeşitli kaynak sistemlerle uyumlu, e-ticaret destekli ve esnek bir çift katmanlı veri modeli tasarlanmıştır.
Etkili Veri Manipülasyonu: Kurumsal Veri Yönetimi ve Otomasyon Sistemleri İçin Yenilikçi Yaklaşımlar
Authors: Karabacak Abdulkadir , Okay Ergün , Denli Eren
Published: January 2024

Bu çalışma, kurumların ilgili birimlerine verilere merkezi bir noktadan erişim sağlayan, veri girişinde kısıtlamalar ve kurallar uygulayan, hatalı veri girişini önleyen ve veri üzerindeki sorunları düzeltebilen bir data manipülasyon sistemi ve yöntemini ele almaktadır. Ayrıca, bu sistem, tablo/satır/kolon bazında yetkilendirmeler aracılığıyla detaylı erişim kısıtlamaları oluşturmakta ve dosyalardaki bilgilerin veritabanlarına basit yöntemlerle aktarılmasını kolaylaştırmaktadır. Çalışmanın amacı, kurumlarda verinin merkezi olarak saklanması, denetlenmesi, yetkilendirilmesi ve süreçlerin merkezi ve sistematik bir şekilde yönetilmesini sağlamaktır. Günümüzde, tablo oluşturma, veri tutarlılık kontrolleri, veri üzerinde yetkilendirme ve kısıtlamalar, dosyadaki bilgilerin düzenli bir veritabanı yapısında saklanması gibi işlemler teknik beceri ve birden fazla uygulama desteği gerektirir. Dosyalarda tutulan verilerin kontrolü ve paylaşılmasındaki zorluklar, merkezi kontrol eksikliği nedeniyle zaman kaybı ve hatalı veri oluşumuna yol açabilir. Bu eksikliklerin giderilmesi için, dosyalarda tutulan verilerin düzenli bir veritabanında saklanması, kullanıcıların yetkileri doğrultusunda sadece ilgili verilere erişim sağlanması, veritabanına aktarılacak verinin onay mekanizmaları ile kontrol edilmesi, veri içeriğinin belirlenen kurallara uygunluğunun denetlenmesi ve içerikteki istenilen değişikliklerin otomatik olarak yapılabilmesi gerekmektedir. Bu ihtiyaçların karşılanmasına yönelik çözümlerin eksikliği, ilgili teknik alanda bir gelişmeye ihtiyaç duyulduğunu ortaya koymaktadır.

Anahtar: Veri Yönetim Platformu, Veri Manipülasyonu, Normalizasyon, Veri Maskleme, Veri Birleştirme, Veri Filtreleme, Veri Dönüşümü, Veri Toplama
Farklı Tahrik Sistemlerine Sahip Dizel Forkliftlerin Çeki Değerlerinin Hesaplanması ve Karşılaştırılması
Authors: Buran Orkan , özener Orkun
Published: January 2024

Forkliftlerin kullanım alanları ve amaçları düşünüldüğünde ve aynı zamanda operatörlerin de istekleri göz önüne alındığında bir forkliftten beklenen isteklerin en başında performans beklentisi gelmektedir, operatörler forkliftlerinden doğrudan “hızlı” ve “atik” bir performansa sahip olmalarını beklemektedirler. Bu beklentiler doğrultusunda forkliftler incelendiğinde performansı doğrudan etkileyecek alt sistemin motor ve tahrik sistemi olduğu gözükmektedir. Forkliftlerin alt sistemleri genelde forkliftlere özel hesaplanan, tasarlanan ve üretimi yapılan sistemler değillerdir, forklift üreticileri bu alt sistemleri raf ürünleri arasından seçmekte ve kullanmaktadırlar. Bu minvalde düşünüldüğünde optimum bir raf ürünü alt sistemin seçilmesi kritik önem arz etmektedir. Bu çalışmada da motor hariç iki farklı markaya, tasarıma, orana ve verime sahip transmisyon, tork dönüştürücü, diferansiyel ve hız azaltıcı alt sistemlerinin performans açısından mukayeseleri irdelenecektir.
Enhancing IVR Systems in Mobile Banking with Emotion Analysis for Adaptive Dialogue Flows and Seamless Transition to Human Assistance
Authors: Ozpinar Alper , Alpan Ersin , Celik Taner
Published: January 2024

This study introduces an advanced approach to improving Interactive Voice Response (IVR) systems for mobile banking by integrating emotion analysis with a fusion of specialized datasets. Utilizing the RAVDESS, CREMA-D, TESS, and SAVEE datasets, this research exploits a diverse array of emotional speech and song samples to analyze customer sentiment in call center interactions. These datasets provide a multi-modal emotional context that significantly enriches the IVR experience.

The cornerstone of our methodology is the implementation of Mel-Frequency Cepstral Coefficients (MFCC) Extraction. The MFCCs, extracted from audio inputs, form a 2D array where time and cepstral coefficients create a structure that closely resembles an image. This format is particularly suitable for Convolutional Neural Networks (CNNs), which excel in interpreting such 'image-like' data for emotion recognition, hence enhancing the system's responsiveness to emotional cues.

Proposed system's architecture is adeptly designed to modify dialogue flows dynamically, informed by the emotional tone of customer interactions. This innovation not only improves customer engagement but also ensures a seamless handover to human operators when the situation calls for a personal touch, optimizing the balance between automated efficiency and human empathy.

The results of this research demonstrate the potential of emotion-aware IVR systems to anticipate and meet customer needs more effectively, paving the way for a new standard in user-centric banking services.
Design and Development of an Automated Product Categorization Software: AI-Driven Solutions for E-Commerce Platforms
Authors: Oskooei Amirkia Rafiei , Terim Asli , Arık Cemal , Bıçakçı Engin
Published: January 2024

This article outlines the design and development process of an automatic product categorization software intended for use in e-commerce and online marketplace platforms. The project aims to tackle the urgent issue of effectively classifying a wide range of products within digital markets. By utilizing artificial intelligence (AI) and machine learning methodologies, the software effectively analyzes product descriptions, enabling users to seamlessly incorporate products through automated categorization. The significance of the project is rooted in its ability to guarantee the accuracy and consistency of category hierarchies, automate the process of categorizing, and improve the overall user experience. The main goals involve the process of project planning, data collecting, and preparation. Machine learning models have been built and subsequently incorporated to facilitate the study of product descriptions. Through strict evaluation and optimization processes, a high level of accuracy and efficiency is achieved, resulting in several anticipated benefits. These benefits cover automated product categorization, enhanced user experience, and the potential for online platforms to gain a competitive edge. The key elements of innovation involve AI-driven textual analysis, learning methodologies grounded in data, and the ability to adapt to diverse industry contexts. Precautions and backup strategies are implemented to tackle technical issues, including the selection of machine learning libraries and algorithms, ensuring data quality, and integrating with various platforms. The success criteria encompass the objective of achieving a minimum prediction accuracy rate of 90%, optimizing business efficiency, enhancing user pleasure, and ensuring smooth system functioning. This project is a significant contribution to the field of product categorization inside the digital marketplace, as it provides automation, accuracy, and efficiency, ultimately resulting in an enhanced user experience.
BOEING 787 Model Daha Elektrikli Uçak Sistem Yenilikleri ve Araştırılan Sorunları
Authors: Gözüküçük Nur Tuğçe
Published: January 2024

In recent years, MEA technology has brought about developments in the field of power electronics, fault-tolerant architecture, electro-hydrostatic actuators, flight control systems, high-density electric motors, power generation and conversion systems. Non-propulsive systems in traditional aircraft systems, ıt is powered by a combination of different secondary power sources such as hydraulic, pneumatic, mechanical and electrical while the more electric aircraft (MEA) concept ensures the use of optimum electrical power for all non-propellant systems.

The goal of future aircraft technology is to replace the majority of non-electrical power-using systems, such as environmental control and engine starting, with electrical systems to improve various aircraft characteristics such as efficiency, emissions, reliability and maintenance costs. B787 series aircraft, the first civil aircraft with more electric aircraft features of modern times, ıt features composite fuselage and wing profiles, fly-by-wire flight controls, advanced cockpit and General Electric or Rolls-Royce engines. Different from previous designs, Boeing has minimized the use of air from the engines in the B787 technology and makes extensive use of electrically powered systems instead of traditional pneumatically powered systems. B787 new generation passenger aircraft, ıt is anticipated that significant improvements such as aircraft weight, fuel consumption, total life cycle costs, carbon neutrality, ease of maintenance and aircraft reliability will reduce the effects of adverse environmental conditions.

In this study, the system innovations of the B787 aircraft model, which is a more electric aircraft concept and introduces different testing and working methods throughout the design process, and the problems caused by the new systems were investigated.
The Principle of Loyalty in the Contractual Relationship: Insurance Seeker –Insurance Intermediary – Insurer
Authors: Orłowski Łukasz
Published: January 2024

Having attempted to define the duty of loyalty of the parties to the tripartite relationship: insurance seeker – insurance intermediary – insurer, the author of the article tries to answer the question whether it can be classified as an obligation of increased trust. He applies the dogmatic as well as empirical legal methodologies in order to implement the previous research hypotheses. The perception of loyalty varies from obligation to obligation. This duty intensifies in relationships based on cooperation and broadly understood intermediation, which is characterised by decision-making freedom of the ordering party before the conclusion of the contract with a contractor specified by the intermediary and independence of the insurance broker’s activities. The formula is based on a significant risk and trust at the same time. Firstly, insurance brokers do not know whether the presented offer will satisfy insurance seekers and, secondly, they cannot be sure if their offer will be finally accepted. Therefore, on the one hand, the duty of loyalty requires the intermediaries to provide extensive information about all the circumstances of the potential transaction, and, on the other hand, the same duty burdens the insurance customers with the obligation to confirm the actual situation caused by the insurance broker, in which the intended goal has been achieved. All in all, the intermediary’s purpose can only be accomplished with the participation of the insurance seeker. The aim of the article is to develop the model for the proper implementation of the tripartite obligation relationship, consisting of the entity seeking insurance cover, insurance intermediary and insurer.
Financial Market Abuse and Irregularities as Legal Risk Factors in the Activity of Insurance Intermediaries in Poland. Part I
Authors: Nowak Radosław
Published: January 2024

This two-part study aims at identifying occurrences related to market abuse and irregularities in the financial services sector and their impact on the operation of insurance intermediaries in Poland. While analyzing Polish and foreign literature as well as reports published by financial market institutions, the author discusses selected examples of such incidents, which are not only characteristic of domestic market practice, to indicate the sources of legal risk. What is more, he points out that these factors pose a threat to the operation of insurance intermediation entities, thus creating the necessity to establish and implement appropriate legal risk management processes. Part I of the article focuses on risk factors related to misselling on the insurance market.
Virus del papiloma humano como factor etiopatogénico en el desarrollo de cáncer oro faríngeo: Revisión Bibliográfica
Authors: Tixe-Toalombo Paulina Alejandra , Naranjo-Naranjo Doris Esthela
Published: January 2024

Introducción: El Virus del Papiloma Humano (VPH) se ha identificado como un factor etiológico significativo en el desarrollo del cáncer orofaríngeo, particularmente en el carcinoma de células escamosas.

Objetivo: Evaluar la relación entre la infección por VPH y la incidencia, progresión y pronóstico del cáncer orofaríngeo.

Metodología: Se realizó una revisión bibliográfica exhaustiva en bases de datos como PubMed, Scopus y Google Scholar, utilizando palabras clave relacionadas con el VPH y el cáncer orofaríngeo. Se incluyeron estudios desde 2019 hasta 2023, abarcando investigaciones clínicas, análisis epidemiológicos y revisiones.

Resultados: Los estudios revelaron que el VPH, especialmente el serotipo 16, está asociado con un aumento en la incidencia del cáncer orofaríngeo, afectando principalmente a pacientes más jóvenes y con menos factores de riesgo tradicionales. Los pacientes con VPH positivo presentaron mejor pronóstico y supervivencia en comparación con los pacientes VPH negativo. La revisión también destacó la importancia de la vacunación como estrategia preventiva.

Conclusiones: El VPH es un factor etiopatogénico clave en el cáncer orofaríngeo, con implicaciones significativas en el pronóstico y la gestión clínica de la enfermedad. La vacunación emerge como una herramienta crucial en la prevención. Sin embargo, es necesario mejorar las tasas de vacunación y la detección temprana para combatir eficazmente la enfermedad.
Use of Women’s Beauty and Makeup in Battle: Unveiling Stereotypes and Strength
Authors: Isha Mittal
Published: January 2024

Since the earliest writings of Bharatmuni's Natyashastra, an essential text in Indian aesthetics written more than two thousand years ago, women have been essentially connected with beauty and makeup. Shringararasa was mostly associated with women in the Rasa philosophy. This link has persisted and can even be seen in current Hollywood productions. It is interesting how beauty has been portrayed in two distinct manners throughout various historical works of literature, films, and books. On one hand, it has supported stereotypes like child marriage and placed restrictions on women's access to higher education and the workforce. On the other side, beauty has the ability to oppose patriarchy and, in a larger sense, be a tool for engaging in the struggle against oppression and lending support to diverse freedom movements. When faced with these obstacles, women stand out as heroes because they actively destroy patriarchal repressive institutions. Numerous narratives, motion pictures, and stage plays—both fiction and non-fiction—emphasize the extraordinary resilience of women and demonstrate how they employ cosmetics and beauty not just as a means of self-expression but also as instruments of adaptation in feminist movements and combat zones. These tales capture the essence of Goddess Durga, who stands for fortitude and tenacity. This paper analyses both perspectives of beauty, citing various texts, movies, novels, and other media as sources for its arguments. Let us continue the teachings of history, mythology, and film by traversing the complexity of beauty, strength, and resistance. Let us raise the voices of those who question conventions, celebrate diversity, and collaborate to create a society where every individual, regardless of gender, may thrive and contribute to the prosperity of a genuinely inclusive and just world.
Administração Escolar
Authors: Silva Rildo e
Published: January 2024

Este artigo propõe uma análise aprofundada sobre os fundamentos da administração escolar e destaca sua importância crucial para a liderança eficaz no contexto educacional. O objetivo principal é proporcionar uma compreensão abrangente dos elementos que compõem a administração escolar e como esses fundamentos são essenciais para promover uma gestão escolar eficaz. A pesquisa baseia-se em uma revisão abrangente da literatura acadêmica relacionada à administração escolar, destacando modelos teóricos e práticas recomendadas. Os resultados destacam a interconexão vital entre a administração escolar eficaz e a liderança educacional bem-sucedida. Conclui-se que líderes educacionais informados e habilidosos, fundamentados nos princípios da administração escolar, têm maior probabilidade de criar ambientes escolares propícios ao crescimento acadêmico, ao desenvolvimento do corpo discente e ao alcance de metas educacionais.
Desvelando a Deficiência Intelectual
Authors: Abreu Jaine Alves Ferreira Moraes de
Published: January 2024

Este artigo apresenta informações relevantes e atuais sobre a deficiência e nos permite avaliar a situação da deficiência intelectual no Brasil. A deficiência intelectual é um dos problemas mais comuns dentro das dificuldades gerais ou globais de desenvolvimento e aprendizagem; no entanto, a sua avaliação e diagnóstico nem sempre têm sido precisos e consistentes com a verdadeira magnitude do problema. Neste trabalho é realizada uma análise da evolução do conceito de deficiência intelectual e são propostos os critérios adequados para a avaliação dos fatores envolvidos na definição atual para um diagnóstico adequado. Finalmente, propõe-se um modelo multidimensional para a avaliação e abordagem da deficiência intelectual, que incorpore os suportes necessários. Por fim, conclui-se que a deficiência é uma questão de direitos humanos e, portanto, é necessário erradicar qualquer desvantagem ameaçadora no âmbito educativo.
Formação Continuada Docente e Diretrizes da BNCC
Authors: Oliveira Jorge Barbosa de
Published: January 2024

Este artigo científico aborda a importância da formação continuada docente em consonância com as diretrizes estabelecidas pela Base Nacional Comum Curricular (BNCC) no contexto educacional brasileiro. A pesquisa visa compreender como a formação continuada pode contribuir para a efetiva implementação da BNCC, promovendo práticas pedagógicas alinhadas aos princípios estabelecidos no documento. Dessa forma, o objetivo principal da pesquisa é analisar como a formação continuada docente pode ser uma ferramenta estratégica para capacitar os professores na compreensão e implementação efetiva das diretrizes da BNCC. Os resultados indicaram que as interseções entre formação continuada docente e as diretrizes da BNCC oferecem aportes valiosos para gestores educacionais, formuladores de políticas e educadores interessados em promover práticas pedagógicas alinhadas aos princípios da BNCC.
Feeding inhibitory effect of some plant extracts on jute hairy caterpillar (Spilosoma obliqua)
Authors: CHOWDHURY H , KAR C S , SARKAR S K , TRIPATHI M K
Published: January 2024

Azadirachtin (50% pure), along with turmeric oil isolated from rhizome powder of Curcuma longa and leaf extracts of tulsi (Ocimum sanctum), eucalyptus (Eucalyptus globulas) and sisal (Agave sisalana) were tested for feeding inhibition effect on third instar larvae of jute hairy caterpillar, S. obliqua. About 44.84% to 69.78% feeding inhibition was exhibited by azadirachtin at 0.1% to 0.5% conc. At 0.5% and 0.4% conc., 67.25% and 52.29% feeding inhibition was exhibited by turmeric oil. Eucalyptus, tulsi, and sisal extracts were less active than azadirachtin and tumeric oil. At 0.5% conc., azadirachtin and turmeric oil exhibited around 40% larval mortality, whereas 30% to 48.14% larval mortality was recorded at 0.2% to 0.5% conc. of tulsi extract.
A simple modified method of DNA extraction from seeds for PCR amplifications
Authors: GUPTA RAMWANT , CHANDRASHEKAR U S , CHAKRABARTY S K , DADLANI M
Published: January 2024

Rapid and reliable protocols for testing genetic purity of seed are an important requirement for quality assurance. This method was applied to Indian mustard, rice, wheat and cotton. Yield and quality of DNA was good for PCR analysis. DNA yield ranged from 16.4 to 76.22 ng/mg seed depending on plant species and varieties. The A260/280 ratio ranged from 1.65-1.91, indicating that the isolated DNA was fairly clean and free from protein and RNA contaminations. By adopting this method nearly 200–300 sample can be extracted in 24 hr, which will be useful for assessment of genetic purity of seed lots during seed multiplication as well as in breeding programmes that requires rapid screening of large population.
The use of quality management tools in the processes of forensic examinations in the institute of criminalistics of the civil police of the federal district: An analysis of its efficiency
Authors: Leite Eduardo Dias , Silva Alexandre Laval , Silva Lorrayne Pereira da , Reis Maria de Nazaré Santos
Published: January 2024

The general objective of the research is to analyze how the use of quality management tools in the processes of criminal examinations carried out by the Efficiency Sector of the Criminal Police Institute of the Civil Police of the Federal District can improve the performance of this Sector, after the inclusion of management tools in carrying out its processes. The Institute has the task of conducting crime examinations, through the collection, analysis and interpretation of material traces. The Sector responsible for examining the efficiency of objects is called Efficiency, in which the examination is carried out to identify whether the objects collected at crime scenes are suitable for the consolidation of the indicated crime. In 2019, steps were taken to improve the management and administration of processes carried out in the sector, all based on Quality Management principles and tools. In this research the relevance that the use of quality tools had in a public sector will be addressed, being demonstrated through the use of data sample, process mapping, graph with the sample of production variation indicators and an interview with the creator changes, so as to bring a complete understanding of the entire process. It is concluded that: With these changes, improvements were quickly noticed, which led the sector to have a significant increase in its monthly production.