The work focuses on the tribological properties of materials that are not yet fully explored due to their manufacturing technologies. The work focuses on the fabrication of samples produced by Fused Filament Fabrication (FFF) technology and their subsequent testing for abrasive wear. In the second chapter, the thesis deals with an introduction to tribology and a description of all wear occurring on the surfaces of the materials. The aim of the experiment is to compare different coating strategies in FFF technology and their effect on abrasive wear at given process parameters and according to ASTM standardized tests, and then to compare and evaluate the different strategies.

Keywords: surface, FFF, 3D, progressive method, PLA, friction.

In this study, the amount of pectin was determined from the peels of waste orange, pomegranate, lemon and banana fruits consumed especially in winter months. The pectin in these waste fruit peels was extracted using 100 mL of 50% ethyl alcohol-water mixture. HPLC method was used for pectin analysis. Calibration graph was drawn according to known pectin concentrations. Validation values of the method were measured. Extracted fruit peel samples were analyzed for pectin amounts by HPLC using the appropriate procedure.

Keywords: Pectin, Fruit peels, HPLC, Determination.

With the rapid development of intelligent construction technology, it has become a crucial task for higher education to cultivate professional talents who can meet the needs of the industry. The construction of a "dual-qualified" intelligent construction teaching team plays a key role in improving the quality of talent training. This article analyzes the characteristics of the intelligent construction specialty and the necessity of building a "dual-qualified" teaching team, discusses the current problems, including the single source of teachers, insufficient practical ability, and imperfect team collaboration mechanism, and proposes construction paths from optimizing the teacher recruitment and training system, strengthening school-enterprise cooperation, and improving team management and incentive mechanisms, aiming to provide theoretical reference and practical guidance for building a high-quality "dual-qualified" intelligent construction teaching team.

Keywords: Intelligent Construction; "Dual-Qualified" Teaching Team; Talent Training; Construction Path.

This research paper presents an innovative IoT-based home automation system aimed at enhancing the security, energy efficiency, and convenience of residential areas. By leveraging wireless technologies such as Wi-Fi and Bluetooth, the system enables users to remotely monitor and control various home appliances through a user-friendly mobile application. The study addresses critical challenges, including privacy vulnerabilities and data security risks associated with IoT devices. Additionally, it explores the system's potential to assist individuals with disabilities, promoting accessibility and independence. The findings underscore the transformative impact of IoT on modern living, paving the way for smarter, more efficient homes that cater to diverse user needs.

Keywords: Internet of things (IoT) ,Home automation, Wireless Technology, Mobile Application, Voice Control ,Real Time Monitoring.

The increasing prevalence of diabetes worldwide has prompted the medical community to explore advanced technologies for efficient and intelligent detection systems. Machine learning and deep learning methodologies have emerged as promising tools in this domain. This study critically examines contemporary advancements in these techniques for diabetes identification and classification. A significant challenge identified is the limited availability of comprehensive diabetes dataset.This study aims to bridge the gap in effective diabetes management by employing advanced machine learning (ML) and deep learning (DL) technologies......

Keywords: Machine Learning, Deep Learning, CNN.

Ultra-wideband (UWB) technology is considered as a promising technique towards different applications of clinical infrastructure, delivers noteworthy features such as fine localization accuracy, very high data rates and low energy consumption. The paper systematically reviews the use of UWB technology in clinical environments: in healthcare monitoring, medical imaging, indoor positioning and wireless communication. Based on a set of high-quality data from UCI Machine Learning Repository, this paper gives empirical results involving the performance and capability of UWB-based systems in bettering healthcare outcomes.....

Keywords: Ultra-Wideband(UWB)Technology, Healthcare Monitoring, Machine Learning, Random Forest Classifier.

This study explores the use of an AI-driven machine learning approach implemented in current scenario for solving the real world problem. A machine learning based code needs a similar datasets of the particular problem so that it will work and behave the same as what human think i.e. general intelligence. This paper presents a review of past research on the aforementioned topic and draws conclusions based on the reviews. The major contributors of the different studies shows the multi-layer perceptron neural network (MLPNN), convolutional neural network (CNN), and recurrent neural network (RNN), applied to one-dimensional, two- dimensional, and time-series data for application of understanding by the code. It is concluded that the selection of AI based programming language should be selected first that learn the datasets and respond according to general intelligence and then convert it into artificial intelligence.

Keywords: Machine Learning, Multistory Buildings, Optimization, Data Analysis, Computational Efficiency.

The procedure for measuring relatively high ohmic resistance (RHR) is shown. The indirect method is used, which allows determining the best estimate of the magnitude of an ohmic resistance. This procedure is an alternative to make an exact estimate of the magnitude of a resistance. greater than 10 Ω. Starting from Ohm's law, the mathematical model is developed that considers the readings of voltmeter, ammeter and thermometer; this model implies correction for temperature at 20 °C of the measured magnitude. In addition, an experimental example is shown, the magnitude obtained is compared against the measurement made with a Wheatstone bridge.

Keywords: Ohmic resistance, indirect method, Ohm's law, experimental, Wheatstone Bridge.

" The project "Collaboard" represents an innovative take on interactive whiteboards, designed primarily for collaborative use in web environments. Catering to a diverse audience, including students, educators, and professionals, the application mimics functionalities of popular tools like MS Paint, but with advanced features for teamwork. Users can adjust the canvas background, customize pen color and size, and utilize an eraser with adjustable thickness. By enabling simultaneous participation, the project aims to bridge traditional brainstorming methods with modern digital needs, fostering seamless real-time collaboration.....

Keywords: Visual Working environment for Teamwork.

The paper deals with the analysis of earrings during the drawing of cylindrical cups with a flat bottom from high-strength materials. The paper focuses on the comparison of the heights of cups of two high-strength steel sheets, which will be compared with the heights of cups from deep-drawn sheet metal. The cups were drawn from blanks of two diameters 63 and 66 mm with and without the use of lubricant. The evaluation methods and results from the tensile test and cupping test are presented.

Keywords: high-strength material, uniaxial tensile test, cupping test, ears creation.

Positioning of a XR/VR glasses with high accuracy in the open area environments and augmentation of simulated objects refers to the problem to give the real environment feeling during the training in a real environment to the trainees. In this article, an image matching approach will be proposed for generating a high accuracy image matching algorithm to use in the simulation systems while maximizing interactivity in the training area using by locating the glasses user with high accuracy. Current methods use sensors and cameras of the glasses, to locate the glasses in the environment that can give erroneous results while the data generated by the sensors. This paper proposes a technique that uses image matching algorithms to locate glasses by using previously given images with a known position. HARRIS and SIFT algorithms will be compared in robustness, implementation side for usage in real time on glasses.

Keywords: Augmented reality, HARRIS, SIFT, image matching, military, training, XR, VR.

This paper describes self-evaluation and its analysis on study course "Pharmacology" of program "Pharmaceutical" at Mongolian University of Pharmaceutical Sciences (MUPS). The study course "Pharmacology" is one of mandatory study course in "Pharmacology" program. The course teaching and learning hours consists of 48 hours lectures and 96 hours seminars lessons. The study direction "Pharmaceutical" established in 2005 and till 2022 more than 1997 students graduated degree in this program. This study program received accreditation certificates in 2014 and 2021. Lecturers who teach same courses in this study program first time done self-evaluation on their teaching course. For evaluation process applied structure-oriented evaluation (SURE) model. Data collected by google form and processed by the SURE online tool.

Keywords: Pharmacology, SURE model, evaluation, program evaluation, self-evaluation.

Flooding remains one of the most devastating natural disasters, exacerbated by climate change, urbanization, and inadequate monitoring systems. This study presents a real-time flood monitoring and alert system aimed at improving disaster preparedness and community resilience. By employing ultrasonic sensors for water level monitoring, predictive analytics, and SMS-based alert dissemination, providing a robust and scalable solution to mitigate flood impacts. Using the River Tana in Kenya as a pilot site, the study combines localized data collection, stakeholder engagement, and incremental software development. Results indicate a high level of stakeholder approval and system reliability, with real-time alerts providing critical lead times for disaster response. This research highlights the importance of integrating modern technology with community-based approaches to address global flood challenges.

Keywords: Real-time, Disaster preparedness, ultrasonic sensors , Predictive analytics.