Engineering Proceedings, Volume 82, Issue 1

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...]

This issue of Engineering Proceedings gathers the papers presented at the 11th International Electronic Conference on Sensors and Applications (ECSA-11), held online on 26–28 November 2024, through the sciforum [...]

Guided ultrasonic wave (GUW) analysis is a well-investigated method for structural health monitoring (SHM) applications. For plate-like structures, the pitch-catch technique is a popular choice since it offers the possibility to investigate a large a...

Pattern recognition algorithms have been used to make it possible for computer vision to self-train and comprehend visual input. Advanced measurements have been required every time for the early detection of armed threats in order to decrease acciden...

Micro-electro-mechanical system (MEMS) gas flowmeters are innovative devices that use microfabrication technology to measure gas flow with high precision and sensitivity. With MEMS technology, flow measurement can now be performed more accurately and...

The present work presents an innovative marine sensing robotics device based on piezoelectric cantilever-integrated micro-electro-mechanical systems (MEMSs) modeled on fish lateral lines. The device comprises 12 cantilevers of different shapes and si...

While artificial intelligence has shown promising results for quality inspection, it often requires large training datasets, which are impractical for industrial applications. Defective parts are heavily underrepresented in normal production, which m...

Amyotrophic lateral sclerosis is a neurodegenerative disorder that has a complex differential diagnosis that has not been elucidated due to the variety of clinical manifestations or specific biological markers. This review aims at studying the applic...

A wireless sensor network (WSN) consists of sensors with wireless transceivers that link autonomously over many hops. It offers various advantages, including less traffic, more stability, extended wireless communication distances, and broader coverag...

Three-dimensional time-of-flight (ToF) sensors are increasingly utilized for human pose and gesture recognition. This paper explores the application of low-resolution 3D ToF sensors for detecting fall events in indoor environments. We present a novel...

In material classification tasks, custom sensors have traditionally been employed to achieve accuracy scores. While numerous studies have reported high accuracy rates, there has been limited discussion on real-time predictions or real-world applicati...

Nanocrystalline CuO-ZnO composite thin films were obtained by solid-phase pyrolysis with different molar ratios of Cu:Zn (1:99 and 5:95). X-ray diffraction analysis showed that the films are composed of two phases. According to scanning electron micr...

Mass spectrometry is the most reliable and accurate approach for analyzing a complex biological sample and identifying its protein content, which is time-consuming and reasonably expensive. One possible option to overcome such limitations is to use p...

Electromyography (EMG) is a technique that measures the electrical activity of the muscles, and it has been used extensively in the field of physiotherapy to assess muscle function and activity. Grading muscle power is an important aspect of assessin...

Agriculture is the art of producing different crop types from the soil and plays an important role in our lives, sustaining and improving the economic sector. This study is mainly focused on the discrimination of crop types based on a space-borne hyp...

Electromagnetic vibration energy harvesters (EVEHs) have emerged as a promising approach to powering small electronic devices and sensors, particularly in remote or inaccessible locations where traditional power sources are impractical. This study in...

The state-of-art Hybrid Brain–Computer Interface (BCI) has shown improved classification of mental states either by combining different modalities or by choosing a combination of BCI activation tasks. Among these, the classification of motor im...

Wireless and battery-less sensor nodes are pivotal in the future of technology, particularly for continuous monitoring and minimizing maintenance costs. These nodes are especially critical in large-scale agricultural systems, where they enable tasks...

A sophisticated precision irrigation system was created to precisely determine the water requirements of crops and implement effective irrigation control strategies for automated, real-time, and targeted crop irrigation in the semi-arid regions of In...

Analog computing had its prime in the years from 1960 to 1970. With the rise of powerful digital computers, analog computing using transistor and Operational Amplififer (OPAMP) circuits vanished nearly completely but gained an increasing interest in...

Brain tumors (BT) are also known as intracranial diseases, which occur due to uncontrolled cell growth in the brain. Detecting and classifying the brain tumors at the initial stage is crucial to saving the patient’s life. A radiologist uses MRI...

Effective weed detection is essential in modern agriculture to improve crop yield and quality. Farmers can optimize their weed control strategies by applying herbicides tailored to the identified weed species and the areas they affect. Real-time obje...

Gas-sensitive devices have great potential for use in a variety of applications, including environmental monitoring, medicine, and various industries. The stability of gas sensors based on zinc oxide can be significantly affected by the presence of w...

The growing world population necessitates more efficient food production, particularly in agriculture. Traditional irrigation techniques usually result in overwatering or underwatering, which wastes energy and water and reduces agricultural productiv...

The accurate and continuous location monitoring of athletes helps in meeting health and safety requirements and supporting the infotainment needs of large marathon events with thousands of participants. Currently, the tracking of individuals and grou...

With the rapid rise in technological advancements, health can be tracked and monitored in multiple ways. Tracking and monitoring healthcare gives the option to give precise interventions to people, enabling them to focus more on healthier lifestyles...

In this paper, the development of a low-cost acoustic sensor is presented based on an import-substituting element base as a cheap alternative to professional sensors or analog sensors. An Arduino board, a microphone module, a microSD card module, and...

Agriculture is the backbone of a country and plays a vital role in shaping its economic performance. Factors such as natural disasters, extreme weather changes, pests, and soil quality significantly impact productivity, often leading to economic loss...

Personalized medicine is an emerging field in healthcare which aims to tailor the drug and its delivery in an individualized approach to optimizing its therapeutic outcomes while minimizing its side effects. Several techniques have been developed to...

Tool Condition Monitoring (TCM) systems have become increasingly important in industrial automation due to the need to improve efficiency and reduce manufacturing costs. These systems use advanced sensors to capture signals during machining processes...

Falls pose a significant threat to the elderly population, often resulting in severe health complications such as fractures and other adverse outcomes, which can drastically lower their quality of life. The early detection of fall risks is crucial in...

Precision agriculture (PA), leveraging wireless sensor networks (WSNs) for efficient data collection, is set to revolutionize intelligent farming. However, challenges such as energy efficiency, data collection time, data quality, redundant data trans...

In this paper, we consider the use of high-definition maps for autonomous vehicle (AV) localization. An autonomous vehicle may have a variety of sensors, including cameras, lidars, and Global Positioning System(GPS) sensors. Each sensor technology ha...

Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational models whos...

In recent years, Construction 4.0 has integrated Industry 4.0 technologies into the construction sector, with robots playing a key role in improving productivity and safety. However, few studies address strategies for implementing robots in specific...

In modern autonomous systems, measurement repeatability and precision are crucial for robust decision-making algorithms. Stereovision, which is widely used in safety applications, provides information about an object’s shape, orientation, and 3...

Diabetes mellitus is a chronic metabolic disorder characterized by the dysregulation of blood glucose, which can lead to a range of serious health complications if not properly managed. Continuous glucose monitoring (CGM) is a cutting-edge technology...

In the context of developing countries, medical instruments are imported from foreign countries. To overcome this challenge, herein the design of an oxygen analyzer using ultrasonic flow sensor technology and a microcontroller while promoting local i...

Sleep apnea is a common sleep disorder with potentially serious health consequences. Identifying risk factors for sleep apnea is crucial for early detection and effective management. Traditionally, this has been achieved through statistical methods s...

Gait disorders are significant indicators of neurological diseases, such as Parkinson’s disease, and reduce the quality of life of patients. Soft body exoskeletons offer a therapeutic solution to address these disorders. Although the detection...

A method for measuring light intensity at different depths of a strongly scattering medium (composite films of photoluminophore YAG:Ce³⁺) has been developed. The depth at which a collimated light source is converted into an isotropic radiation source...

In milling applications of CFRP (Carbon Fiber Reinforced Polymer) composites, acoustic emission sensors employing piezoelectric transducers have been used to generate acoustic maps. These maps are crucial for monitoring the condition of both the tool...

Defect detection in distributed motors within the IoED architecture is the focus of this research. The idea of the distributed Internet of Things (DIoT) is used to build a cyber-physical system architecture. To improve sensitivity and accuracy, this...

Structures are exposed to aging and extreme events that can decrease the relevant safety margins or even lead to (partial) collapse mechanisms under unforeseen loading conditions. Structural health monitoring (SHM) therefore appears to be compulsory...

Honey is a natural sweet food product with multiple nutritional and medicinal properties, making it a healthy alternative to processed sugars. With the consumers’ recent interest and purchase of dietary products, the global honey market has gre...

Cardiovascular diseases represent the cause of 31% of all global deaths. Unfortunately, there are many difficulties in diagnosing them in a preventive, non-invasive and inexpensive way. However, there are important risk markers, including arterial st...

KM3NeT is an underwater neutrino detector currently under construction. Since the installation of its first detection unit in 2015, it has been continuously collecting data. Due to its complex design comprising a 3D array of sensors, an Acoustic Posi...

Background: Drinking water that is clean and safe is important for everyone’s health. About 1.4 million deaths worldwide occur due to contaminated drinking water each year. Contaminated water sources are the primary cause of diarrheal infection...

In certain applications of acoustic emission sensors, acoustic maps can be generated from captured signals. The work “In-Dressing Acoustic Map by Low-Cost Piezoelectric Transducer” introduces an innovative technique using these sensors to...

The main goal of the POREM (LIFE17 ENV/IT/000333) project consisted in demonstrating the applicability of the treated poultry manure for soil restoration or bioremediation. To perform the research activities planned for the project, a considerable am...