Computer Hardware - Science topic

The purpose of this study is to investigate the role of the use of computer hardware in online learning has a positive effect on online student satisfaction, investigate the role of The use of computer software in online learning has a positive effect on online student satisfaction and investigate the role of Lecturer involvement in online learning...

Numerical methods play a crucial role in solving mathematical problems that cannot be easily solved using analytical methods. These methods involve the use of mathematical algorithms and computational techniques to obtain approximate solutions to various mathematical models and equations. This introduction aims to provide an overview of numerica...

This community service proposed assistance from competent instructors to educate participants to get to know computer hardware and software, ranging from variations, and models, to supporting components based on the research approach method in the electrical engineering field. The training participants were ECE (Early Childhood Education) teachers...

As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic s...

The new product development (NPD) activities of enterprises serve as a critical source of competitiveness. To effectively harness the opportunities presented by digital transformation and enhance the performance of NPD in organizations amidst the digital revolution is an area of concern that warrants attention. In this context, we conducted researc...

Nowadays, embedded systems are ideas of a microcontroller-based computer hardware system related to wireless sensors of radio frequency identification (RFID) and wireless data communication by machine-to-machine (M2M) concept. This study has three applications: passive RFID, active RFID system, wireless IoT microcontroller, and internet networking...

Vision-based perception modules are increasingly deployed in many applications, especially autonomous vehicles and intelligent robots. These modules are being used to acquire information about the surroundings and identify obstacles. Hence, accurate detection and classification are essential to reach appropriate decisions and take appropriate and s...

Quantum Machine Learning was born during the past decade as the intersection of Quantum Computing and Machine Learning. Today, advances in quantum computer hardware and the design of simulation frameworks able to run quantum algorithms in classic computers make it possible to extend classic artificial intelligence models to a quantum environment. D...

Three-dimensional (3D) hetero-integration technology is poised to revolutionize the field of electronics by stacking functional layers vertically, thereby creating novel 3D circuity architectures with high integration density and unparalleled multifunctionality. However, the conventional 3D integration technique involves complex wafer processing an...

Research centre, MAHE, Madhav Nagar. Manipal 576 104. Purpose: Age is a crucial marketing phenomenon that affects people's consumption patterns. It is an important factor that which every service provider should consider as an important factor in designing their products and services. Various studies have been directed towards the influence of age...

A recent post by the Harvard Business review, https://hbr.org/2020/03/rethink-your-relationship-with-your-vendors reveals how company/vendor relationships have changed. Contemporary vendors are likely to be individual contributors, or a small team of loosely connected professionals. So, when you hire a "firm" this is a relative term. There are seve...

The availability of computational hardware and developments in (medical) machine learning (MML) increases medical mixed realities' (MMR) clinical usability. Medical instruments have played a vital role in surgery for ages. To further accelerate the implementation of MML and MMR, three-dimensional (3D) datasets of instruments should be publicly avai...

Most heritable diseases are polygenic. To comprehend the underlying genetic architecture, it is crucial to discover the clinically relevant epistatic interactions (EIs) between genomic single nucleotide polymorphisms (SNPs). Existing statistical computational methods for EI detection are mostly limited to pairs of SNPs due to the combinatorial expl...

The increasing capabilities of quantum computing hardware and the challenge of realizing deep quantum circuits require fully automated and efficient tools for compiling quantum circuits. To express arbitrary circuits in a sequence of native gates specific to the quantum computer architecture, it is necessary to make algorithms portable across the l...

The rapid advancement of AI‐enabled applications has resulted in an increasing need for energy‐efficient computing hardware. Logic‐in‐memory is a promising approach for processing the data stored in memory, wherein fast and efficient computations are possible owing to the parallel execution of reconfigurable logic operations. In this study, a dual‐...

Different real-world cognitive tasks evolve on different relevant timescales. Processing these tasks requires memory mechanisms able to match their specific time constants. In particular, the working memory utilizes mechanisms that span orders of magnitudes of timescales, from milliseconds to seconds or even minutes. This plentitude of timescales i...

The widespread adoption of massively parallel processors over the past decade has fundamentally transformed the landscape of high-performance computing hardware. This revolution has recently driven the advancement of FPGAs, which are emerging as an attractive alternative to power-hungry many-core devices in a world increasingly concerned with energ...

Potato malformation seriously affects commercial value, and its removal has become one of the core steps in the post-harvest and pre-sales process of potatoes. At present, this work mainly relies on manual visual inspection, which requires a lot of labor and incurs high investment costs. Therefore, precise and efficient automatic detection technolo...

The Dst index is the geomagnetic storm index used to measure the energy level of geomagnetic storms, and the prediction of this index is of great significance for geomagnetic storm studies and solar activities. In contrast to traditional numerical modeling techniques, machine learning, which emerged decades ago based on rapidly developing computer...

This study discusses the potential application of ITO/ZnO/HfOx/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>102) and stable retention (>104 s). Notably, the formation and rupture of filaments at the interface of ZnO and HfOx contr...

Background Without accurate documentation, it can be difficult to assess the quality of care and the impact of quality improvement initiatives. Prehospital lack of documentation of the basic measurements is associated with a twofold risk of mortality. The aim of this study was to investigate data quality in the electronic prehospital patient record...

Background Technical progress in computational hardware allows researchers to use new approaches for sequence alignment problems. For a given sequence, we usually use smaller subsequences (anchors) to find possible candidate positions within a reference sequence. We may create pairs (“position”, “subsequence”) for the reference sequence and keep al...

The limitations of the tractor virtual test system are evident in various aspects, including model reuse, system expansion, offsite interconnection, and virtual reality verification. To address these challenges, a distributed virtual test system for tractors based on the high-level architecture (HLA) is proposed. Involve analyzing the hardware stru...

The exploration of the human brain, mind, and consciousness reveals a complex relationship between the tangible and the intangible aspects of human cognition. This text distinguishes between the brain and the mind, drawing an analogy between them and computer hardware and software. While the brain serves as the physical organ associated with the bo...

Emerging reconfigurable devices are fast gaining in popularity in the search for next-generation computing hardware, while ferroelectric engineering of the doping state in semiconductor materials has the potential to offer alternatives to the traditional von-Neumann architecture. In this work, we combine these concepts and demonstrate the suitabili...

This article presents an overview of computer operating systems (OS) and emerging trends. OS is simply defined as an interface between computer hardware and the user. The objective of the study is to investigate the emerging trends of OS and to find out the direction of OS for modern computing systems. To achieve this goal the paper looks at the co...

Previous studies have shown that anisotropy generally exists in geological bodies such as sedimentary rocks and fault zones, and more and more attention has been paid to the arbitrary conductivity media in surveys with the magnetotelluric sounding method. With the breakthrough development of computer hardware technology, large-scale 3D magnetotellu...

Low-voltage operated thin-film transistors (TFTs) became a fascinating field of research to meet the apparent demand of energy efficiency in diverse fields of modern daily life applications for the sake of the environment. It has enormous potential if the processing is developed at lower room temperature with cheaper cost for flexible and large-are...

In the context of Industry 4.0, manufacturing metrology is crucial for inspecting and measuring machines. The Internet of Things (IoT) technology enables seamless communication between advanced industrial devices through local and cloud computing servers. This study investigates the use of the MQTT protocol to enhance the performance of circularity...

The hybrid barium titanate (BaTiO 3 or BTO) – silicon nitride (Si 3 N 4 or SiN) platform integrated on silicon has been established as a promising candidate for implementing photonic integrated circuits with unique features in terms of high modulation speeds and low transmission loss. However, despite the high Pockels effect in BTO, switching devic...

Advances in algorithms and low-power computing hardware imply that machine learning is of potential use in off-grid medical data classification and diagnosis applications such as electrocardiogram interpretation. However, although support vector machine algorithms for electrocardiogram classification show high classification accuracy, hardware impl...

This study aims to find out how perceived risk acts as a moderating variable, and how the quality of information systems, service quality, and perceived trust affect customer satisfaction of IndiHome Telkom users in the city of Surabaya. This study employs a structural equation model data collected from 385 respondents who were selected using a pur...

ICT (Information and Communication Technology) is one of the foundational elements of "e-agriculture", which served as the hub for extension work. The use of information and communication technology (ICT) in agriculture is becoming more and more significant. The phrase "Information and Communication Technology" (ICT) refers to both online and offli...

Every company, regardless of its size and activities, is touched in some way by technology. For example, the use of computer hardware and software has now become commonplace for recording the terms of business transactions and creating and maintaining business records and even the smallest firms need to be attentive to improvements in computing too...

Recent advances in efficient design, perception algorithms, and computing hardware have made it possible to create improved human-robot interaction (HRI) capabilities for autonomous underwater vehicles (AUVs). To conduct secure missions as underwater human-robot teams, AUVs require the ability to accurately identify divers. However, this remains an...

p>Lattice-based cryptography is considered the most promising candidate for post-quantum public key cryptography such as key encapsulation and digital signature schemes. Accurate and efficient sampling of matrix / vector elements and polynomial coefficients from specified discrete probability distributions is crucial to the security and efficiency...

Virtual Reality (VR) technology uses computers to simulate the real world comprehensively. VR has been widely used in college teaching and has a huge application prospect. To better apply computer-aided instruction technology in music teaching, a music teaching system based on VR technology is proposed. First, a virtual piano is developed using the...

p>Lattice-based cryptography is considered the most promising candidate for post-quantum public key cryptography such as key encapsulation and digital signature schemes. Accurate and efficient sampling of matrix / vector elements and polynomial coefficients from specified discrete probability distributions is crucial to the security and efficiency...

With qubits from a variety of developers now available for hiring on the cloud, quantum computing is making the leap from the lab to the market. IBM Quantum, DWave's Leap service, and Oxford Quantum Circuits' quantum computing hardware are all examples of commercially available implementations of quantum computing. Companies in the quantum computin...

The simulation of large deformation problems in geotechnical engineering has gained increasing interest in recent years. This is partly due to new technologies and industry requirements (e.g. the installation of new foundations in the offshore industry), the improved availability of numerical methods that can handle large deformations and the overa...

State-of-the-art deep learning models can converse and interact with humans by understanding their emotions, but the exponential increase in model parameters has triggered an unprecedented demand for fast and low-power computing. Here, we propose a microcomb-enabled integrated optical neural network (MIONN) to perform the intelligent task of human...

Private and public transportation will be dominated by Autonomous Vehicles (AV), which are safer than regular vehicles. However, ensuring good performance for the autonomous features requires fast processing of heavy tasks. Providing each AV with powerful computing resources may result in increased AV cost and decreased driving range. An alternativ...

Memory-augmented neural network (MANN) has received increasing attention as a promising approach to achieve lifelong on-device learning, of which implementation of the explicit memory is vital. Content addressable memory (CAM) has been designed to accelerate the explicit memory by harnessing the in-memory-computing capability. In this work, a CAM c...

With the advancement of artificial intelligence technology and computer hardware, the stereo matching algorithm has been widely researched and applied in the field of image processing. In scenarios such as robot navigation and autonomous driving, stereo matching algorithms are used to assist robots in acquiring depth information about the surroundi...

This article appreciates the opportunities made available by Information and Communication Technology tools in the global world and tries to provide a measure by which librarians and library professionals can fully take up responsibilities of managing digitized library in a cloud computing environment. The specific functions required of a digital l...

In the fast-paced world of artificial intelligence, neural networks have emerged as a revolutionary paradigm for solving complex problems and developing cutting-edge solutions. In this book, ``NEURAL NETWORKS: CONSTRUCTION AND APPLICATIONS USING C++", we will explore the exciting journey of neural networks from their fundamentals to their practical...

Modern technology is ubiquitous across all facets of life. The continuously evolving STEM (Science, Technology, Engineering and Mathematics) education landscape has provided an excellent opportunity to integrate the knowledge of digital technology to solve STEM-based project problems. However, there is no consistency in how STEM programs are taught...

As the global economy is increasingly influenced by energy policy and efficiency, the opportunities of energy data classification are broadening. Performance metrics, especially for Deep Learning (DL), have motivated the accelerated development of computing hardware. In particular, High-Performance Edge Computing (HPEC) has an important role in com...

The Dst index is the geomagnetic storm index used to measure the energy level of geomagnetic storms, and the prediction of this index is of great significance for the geomagnetic storm study and the solar activity. In contrast to traditional numerical modelling techniques, machine learning, which has emerged in decades ago based on rapidly developi...

Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many applications, including logistical planning, resource allocation , chip design, drug explorations, and more. Due to their critical significance and the inability of conventional hardware in efficiently handling scaled COPs, there is a growing interest in developi...

This work reports a nanostructure resonant tunnelling diode-photodetector (RTD-PD) device and demonstrates its operation as a controllable, optically-triggered excitable spike generator. The top contact layer of the device is designed with a nanopillar structure 500nm in diameter) to restrain the injection current, yielding therefore lower energy...

Andrea is a doctoral student at the University of Florida specializing in Educational Technology within the Curriculum and Instruction program. She has a master's degree in Education and ICT and a bachelor's degree in Software Systems Engineering. Andrea has been teaching undergraduate and graduate courses for the past thirteen years covering topic...

Various memristive devices have been proposed for use in neuromorphic computing systems as artificial synapses. Analog synaptic devices with linear conductance updates during training are efficiently essential to train neural networks. Although many different analog memristors have been proposed, a more reliable approach to implement analog synapti...

The article is devoted to the problems of preparing and conducting forensic examinations in the field of information technology. In particular, the author examines such types of expert studies as the study of computer hardware and software products and telecommunication systems and facilities. The Criminal Code of Ukraine contains Chapter XVI, whic...

Video summarization has arisen as a method that can help with efficient storage, rapid browsing, indexing, fast retrieval, and quick sharing of the material. The amount of video data created has grown exponentially over time. Huge amounts of video are produced continuously by a large number of cameras. Processing these massive amounts of video requ...

Automatic number plate recognition (ANPR) uses optical character recognition (OCR) on images to read vehicle registration plates for creating vehicle location data. This project aims at its implementation in gated locations such as industrial parks, housing societies, commercial premises & other such locations where the entry & exit of each & every...

In this paper we outline the results of a project to evaluate the total climate/carbon impact of a digital research infrastructure for a defined snapshot period. We outline the carbon model used to calculate the impact and the data collected to quantify that impact for a defined set of resources. We discuss the variation in potential impact across...

Bayesian optimization (BO) suffers from long computing times when processing highly-dimensional or large data sets. These long computing times are a result of the Gaussian process surrogate model having a polynomial time complexity with the number of experiments. Running BO on high-dimensional or massive data sets becomes intractable due to this ti...

This study presents a novel concept for a smart home cage design, tools, and software used to monitor the physiological parameters of mice and rats in animal-based experiments. The proposed system focuses on monitoring key clinical parameters, including heart rate, respiratory rate, and body temperature, and can also assess activity and circadian r...

The cloud is becoming a hub for sensitive data as technology develops, making it increasingly vulnerable, especially as more people get access. Data should be protected and secured since a larger number of individuals utilize the cloud for a variety of purposes. Confidentiality and privacy of data is attained through the use of cryptographic techni...

The study interrogated teachers’ and pupils’ perceptions of Information Communication Technology (ICT) as an examinable curriculum subject in secondary schools of Mazabuka district in Southern Zambia. In 2013 Ministry of Education (MoE) reviewed the National School Curriculum introducing ICT as an examinable subject at the junior secondary school l...

Ventilation in urban climate is important for human comfort, and needs to be considered during the whole design process especially in the high-density urban environment. However, ventilation simulation requires a sharp learning curve and high cost of hardware. This study provides a tool for architects and urban designers to investigate ventilation...

In this paper, we explore the historical development of playable quantum physics related games (\textit{\textbf{quantum games}}). For the purpose of this examination, we have collected over 260 quantum games ranging from commercial games, applied and serious games, and games that have been developed at quantum themed game jams and educational cours...

The rate of progress in autonomous car technology has increased exponentially over the past decade, mostly thanks to advancements in deep learning and artificial intelligence. This work aims to summarize recent progress made in the application of deep learning techniques to the problem of autonomous driving. First, we will go through the deep reinf...

This paper presents a differentiable simulator for dynamic energy systems to support gradient-based tasks, such as inverse inference, optimal control and end-to-end learning. The differentiable simulator is built on an open-source auto-differentiation (AD) platform specifically designed for deep learning communities. With the inherent differentiabi...

Pedestrian recognition has successfully been applied to security, autonomous cars, Aerial photographs. For most applications, pedestrian recognition on small mobile devices is important. However, the limitations of the computing hardware make this a challenging task. In this work, we investigate real-time pedestrian recognition on small physical-si...

This paper presents the development of software to integrate autonomous Guidance, Navigation, and Control algorithms and perform Hardware-In-the-Loop testing in the EXTREMA Simulation Hub facility to leverage the technology for self-driving deep-space CubeSats. Firstly, the design drivers are derived, and a multi-layered modular architecture for re...

Due to the surge in annual stock debuts, it is vital to use deep learning algorithms. Deep learning requires in-depth knowledge of the technology and how to utilize it. Valuable tasks include assessing and projecting stock prices. The complexity of the uncertain behaviour of the stock market requires deploying deep learning models over several proc...

Multi-core shared memory architectures have become ubiquitous in computing hardware nowadays. As a result, there is a growing need to fully utilize these architectures by introducing appropriate parallelization schemes, such as OpenMP worksharing-loop constructs, to applications. However, most developers find introducing OpenMP directives to their...

Controller motifs are simple biomolecular reaction networks with negative feedback. They can explain how regulatory function is achieved and are often used as building blocks in mathematical models of biological systems. In this paper we perform an extensive investigation into structural identifiability of controller motifs, specifically the so-cal...

We present an industrial end-user perspective on the current state of quantum computing hardware for one specific technological approach, the neutral atom platform. Our aim is to assist developers in understanding the impact of the specific properties of these devices on the effectiveness of algorithm execution. Based on discussions with different...