User Environment Research Articles

Evaluating the feasibility of using augmented reality for tooth preparation

ObjectivesTooth preparation is complicated because it requires the preparation of an abutment while simultaneously predicting the ideal shape of the tooth. This study aimed to develop and evaluate a system using augmented reality (AR) head-mounted displays (HMDs) that provide dynamic navigation capabilities for tooth preparation. MethodsThe proposed system utilizes optical see-through HMDs to overlay digital information onto the real world and enrich the user's environment. By integrating tracking algorithms and three-dimensional modeling, the system provides real-time visualization and navigation capabilities during tooth preparation by using two different visualization techniques. The experimental setup involved a comprehensive analysis of the distance to the surface and cross-sectional angles between the ideal and prepared teeth using three scenarios: traditional (without AR), overlay (AR-assisted visualization of the ideal prepared tooth), and cross-sectional (AR-assisted visualization with cross-sectional views and angular displays). ResultsA user study (N = 24) revealed that the cross-sectional approach was more effective for angle adjustment and reduced the occurrence of over-reduction. Additional questionnaires revealed that the AR-assisted approaches were perceived as less difficult, with the cross-sectional approach excelling in terms of performance. ConclusionsVisualization and navigation using cross-sectional approaches have the potential to support safer tooth preparation with less overreduction than traditional and overlay approaches do. The angular displays provided by the cross-sectional approach are considered helpful for tooth preparation. Clinical significanceThe AR navigation system can assist dentists during tooth preparation and has the potential to enhance the accuracy and safety of prosthodontic treatment.

Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes

Securing computers is crucial to prevent data breaches, identity theft, and financial losses. Virus incursions disrupt operations, causing downtime and costly repairs. Protective measures, including anti-virus software and cybersecurity practices, maintain network integrity and reduce the spread of malware. Combining robust cybersecurity with green computing strategies ensures efficient energy usage and sustainable network environments, safeguarding against viruses while contributing to both security and environmental goals In this study, we explore the dynamic behaviors of a modified version of the computer virus model and elucidate the connection between its parameters and network attributes. We employ Banach’s and Schaefer’s fixed-point theorems to assess the existence and uniqueness of solutions of the suggested model. Furthermore, we establish sufficient conditions for Ulam–Hyers stability within the envisioned computer virus model. To analyze solution trajectories and the impact of various input factors on computer virus dynamics, we utilize an efficient numerical technique, providing insight into the relationships between model parameters and enabling the design of networks that minimize the risk of virus outbreaks under various bifurcation conditions.

Prioritization-based delay sensitive task offloading in SDN-integrated mobile IoT network

Due to enormous growth of Internet of Things (IoT) in the last decade, the amount of data generated through smart devices is increasing exponentially. Fog computing has emerged as a potential technology to deal such a huge volume of data in which task offloading is the most important aspect which has attracted significant attention. Many research works have been carried out, however, task offloading with latency sensitivity, reliability and result migration over a mobile user environment is still not widely addressed. In this paper, we propose a method for delay-sensitive and fault minimized task offloading for service requests made through a mobile/vehicular end user environment implemented via Software Defined Network (SDN) controllers integrated with the fog layer. This is a novel multi-phased model involving determining the optimal number of SDN controllers, clustering of the fog nodes (FNs) on the basis of SDN proximities, task prioritization and Gravitational Search Algorithm (GSA) based target FN selection. The simulation outcomes of our proposed approach show that there is a reduction in delay by around 23%–30% and around 60%–80% lesser number of tasks unassigned in each round as compared to two base algorithms.

USE OF AUGMENTED REALITY IN THE SAFETY OF OPERATING ELECTRIC CAR NEAR CHARGING STATIONS

Augmented reality (AR) provides possibilities from simple displays to tools improving service in the production process. It has found justification in the field of crisis/critical situation management and also in the commercial sphere. The technologies of the digital world together with AR are directed towards the user environment and the operation of technical devices does not deal with the essence of the problem. Electric vehicle (EV) charging stations (CHS) are considered to be sources of electromagnetic fields, as are also inverters in EVs. Until now, there are standards only for stable sources, which EV is not. There are several standards for CHS, from guidelines to regulations in a specific country. The magnetic field (MF), as a component of the electromagnetic field, carries information about the state of the CHS and the environment around the EV during its charging. Information provided to the operator about the state of the environment around him when charging EV is currently at a minimal level. There is no application yet that provides a display of MF information for the operator. AR in the form of the AR Infinity platform provides such an option. The article points out the way of creating information tools using simple devices in an AR environment with a mobile phone application.

Makemates – Social Media Web Application

"Makemates" is a cutting-edge social media application designed to cater to the diverse needs and desires of modern-day social networking. This all-in-one platform offers a comprehensive suite of basic features that make connecting, sharing, and engaging with others a seamless and enjoyable experience. Users can create and personalize their profiles, connect with friends, family, and likeminded individuals, and effortlessly share their life moments through text, photos, and videos. "Makemates" prioritizes user privacy and data security, providing a safe environment for users to express themselves freely. With features like status updates, messaging, and a news feed, the application enables real-time communication and interaction with an extensive user base. "Makemates" not only fosters connections but also encourages the discovery of new ideas, trends, and experiences. Join the Makemates community and unlock a world of possibilities for social networking, all within one intuitive and user-friendly application.

Real-Time View Assistance for the Blind using Image Processing

Visually impaired people usually have difficulty in doing daily activities. Imagine a future where visually impaired people can seamlessly and independently identify objects and people in their environment. The aim of this research is to increase the independence and mobility of visually impaired people by developing a real-time object and person recognition system. This system uses the power of machine learning and uses computer vision techniques to accurately identify and classify objects and people in the user's environment. Through the integration of speakers or headphones, the system provides auditory feedback to the user and conveys important information about the detected object or person. By combining advanced image processing algorithms with audio output, this solution serves as a valuable tool for visually impaired people, allowing them to effectively perceive and understand their surroundings. This innovative approach demonstrates the potential of technology to bridge access gaps and empower people with visual impairments in their daily lives.

OPEN SOURCE DEVELOPER SUPPORT TOOL

Abstract : This research paper explores the development and implementation of an open-source developer support tool aimed at providing financial and motivational support to open-source developers. By creating a platform where users can post questions with optional bounties, this project seeks to address the longstanding issue of uncompensated efforts within the open-source community, which has been a significant barrier to the sustainability and growth of many open-source projects. The platform leverages cutting-edge technologies such as Next.js, PostgreSQL, and Stripe to create a seamless and secure environment for both users and developers. Next.js is utilized for building the front-end and back-end of the application, providing server-side rendering and static site generation for improved performance and user experience. PostgreSQL serves as the robust and scalable database management system, ensuring data integrity and efficient query handling. Stripe is integrated for secure authentication and payment processing, enabling financial transactions between users and developers. The motivation behind this project stems from the recognition that open-source software is a critical component of modern technology infrastructure, yet the contributors often lack adequate financial and motivational support. This research delves deeply into the problem definition, outlining the specific challenges faced by open-source developers, including financial instability, lack of recognition, and limited feedback. The objectives of the project are clearly defined, aiming to create a sustainable support system that fosters community engagement and rewards contributors for their valuable work. This paper also details the software and hardware specifications required for the development and deployment of the platform, ensuring that the solution is both practical and scalable. Project planning is a crucial element of this research, with a comprehensive roadmap that includes requirement analysis, design, development, testing, and deployment phases. Each phase is meticulously planned to address potential challenges and ensure the successful implementation of the support tool. Finally, the future scope of the project is discussed, emphasizing the importance of continuous improvement and adaptation to meet the evolving needs of the open-source community. This includes potential enhancements such as advanced spam detection, enhanced user feedback mechanisms, and the integration of additional features to further support and motivate open-source contributors. By addressing these critical aspects, this research underscores the significance of supporting open-source contributors and highlights the potential of the proposed platform to make a meaningful impact on the sustainability and growth of open-source projects. IndexTerms – Open Source, Developer Support, Bounty System, Next.js, PostgreSQL, Stripe, Community Engagement.

User Localization and Environment Mapping With the Assistance of RIS

User Localization and Environment Mapping With the Assistance of RIS

Enhancing Online Furniture Shopping for Seniors and Physically Challenged Individuals through AR

Abstract: “Augmented reality (AR) technology has potential to revolutionize the way we interact with and visualize the world around us. One area where this technology has great potential is in the field of furniture design and home decor. The goal of the Augmented Reality Furniture project is to develop a platform which allows users to virtually preview and interact with furniture in their own home environments using AR technology. Using a smartphone or other AR-enabled device, users will be able to see how different furniture pieces will look and fit in their own living spaces before making a purchase. The project will involve the use of 3D models of a variety of furniture items, aswell as the development of AR software that can accurately place and scale these models in the user's environment. The platform will also include a user-friendly interface for browsing and selecting different furniture items, as well as tools for customizing and arranging the items in the virtual space.

MERN Stack Based Fitness Application

Abstract: In today's digitally driven world, the pursuit of a healthy lifestyle has become increasingly prevalent, with individuals seeking innovative solutions to track, manage, and optimize their fitness journeys. This abstract outlines the development of a fitness application using the MERN stack (MongoDB, Express.js, React.js, Node.js) as a comprehensive platform to address the evolving needs of fitness enthusiasts. The proposed fitness application aims to revolutionize the way users engage with their health and wellness goals by providing a seamless and intuitive user experience. Leveraging the capabilities of the MERN stack, the application offers a dynamic and feature-rich environment for users to set fitness goals, track progress, access personalized workout plans, and engage with a supportive community of fellow enthusiasts.

Understanding the Factors Affecting Trust and Security in Online Transactions for Maid Service Websites

In today's digital landscape, trust and security hold significant importance, especially in the realm of online transactions, particularly on maid service websites. This paper delves into the complex factors that influence users' perceptions of trust and security when engaging with these platforms. Through a thorough examination of existing literature and empirical analysis, this research identifies the key factors that shape users' perceptions of trust and security during online transactions within the maid service industry. The study explores various aspects, including website design, encryption protocols, payment gateways, privacy policies, and customer reviews, among others, to understand their impact on users' trust and security perceptions. Additionally, it investigates how factors like customer demographics, previous online experiences, and awareness of cybersecurity threats contribute to shaping these perceptions. Furthermore, the research delves into the strategies and best practices adopted by maid service websites to enhance trust and security. This includes implementing secure payment gateways, transparent communication channels, and robust data protection measures. The insights gained from this study provide a deeper understanding of the dynamics influencing consumer trust and security in the context of maid service websites. These findings offer valuable implications for industry practitioners to improve trust-building strategies and strengthen security measures, ultimately creating a safer and more trustworthy online environment for users. Keywords: MaidIn, Maid Service, Maid Jobs, Maid Service near me, Maid Service Project, Maid Service full Stack Web Development

Efficient and privacy-preserving outsourced unbounded inner product computation in cloud computing

In cloud computing, the current challenge lies in managing massive data, which is a computationally overburdened environment for data users. Outsourced computation can effectively ease the memory and computation pressure on overburdened data storage. We propose an outsourced unbounded decryption scheme in the standard assumption and standard model for large data settings based on inner product computation. Security analysis shows that it can achieve adaptive security. The scheme involves the data owner transmitting encrypted data to a third-party cloud server, which is responsible for computing a significant amount of data. Then the ripe data is handed over to the data user for decryption computation. In addition, there is no need to give the prior bounds of the length of the plaintext vector in advance. This allows for the encryption algorithm to run without determining the length of the input data before the setup phase, that is, our scheme is on the unbounded setting. Through theoretical analysis, the storage overhead and communication cost of the data users remain independent of the ciphertext size. The experimental results indicate that the efficiency and performance are greatly enhanced, about 0.03S for data users at the expense of increased computing time on the cloud server.

Adaptive fault detection for lithium-ion battery combining physical model-based observer and BiLSTMNN learning approach

Lithium-ion batteries possess one of the best energy-weight ratios, while safety and reliability are critical issues for its continued operation. Due to extreme fast-charging, huge application sizes and variable usage environment, the risk of soft battery faults, including soft internal short circuit (SISC), is increased and may evolve into severe accidents. Therefore, accurate early detection of lithium-ion battery fault is imperative to guarantee the battery performance. Motivated by this fact, we proposed a real time fault detection framework for battery soft faults. Based on the Equivalent Circuit Model (ECM) and coupling thermal model, Extended Kalman Filter (EKF) observer is used for reliable monitoring of battery voltage and surface temperature. Inspired by uncertainty interference during the observation process, we explore an observed-based learning approach that combine physical model-based observer and Bidirectional Long Short-Term Memory neural networks (BiLSTMNN) to empower the observer with the ability to learn the uncertainties, which is efficient in distinguishing soft faults information and uncertainties from residual. Furthermore, the memory characteristics of BiLSTMNN are considered to improve the robustness of the detection system, including comprehensive training data and optimized input features. Finally, through the comparative analysis and the robustness evaluation experiments including various driving cycles and internal short circuits (ISC) faults test verity the good performance of the proposed method.

Cost-aware quantum-inspired genetic algorithm for workflow scheduling in hybrid clouds

Cloud computing delivers a desirable environment for users to run their different kinds of applications in a cloud. Numerous of these applications (tasks), such as bioinformatics, astronomy, biodiversity, and image analysis, are deadline-sensitive. Such tasks must be properly allocated to virtual machines (VMs) to avoid deadline violations, and they should reduce their execution time and cost. Due to the contradictory environment, minimizing the application task's completion time and execution cost is extremely difficult. Thus, we propose a Cost-aware Quantum-inspired Genetic Algorithm (CQGA) to minimize the execution time and cost by meeting the deadline constraints. CQGA is motivated by quantum computing and genetic algorithm. It combines quantum operators (measure, interference, and rotation) with genetic operators (selection, crossover, and mutation). Quantum operators are used for better population diversity, quick convergence, time-saving, and robustness. Genetic operators help to produce new individuals, have good fitness values for individuals, and play a significant role in preserving the evolution quality of the population. In addition, CQGA used a quantum bit as a probabilistic representation because it has higher population diversity attributes than other representations. The simulation outcome exhibits that the proposed algorithm can obtain outstanding convergence performance and reduced maximum cost than benchmark algorithms.

Enhanced mechanical endurance and power conversion efficiency in flexible Cu2ZnSnS4 solar cells using ZnO/Ag-Ag2O/ZnO film

Cu2ZnSnS4 (CZTS) solar cells occupy an important direction in the field of clean energy research due to their environmental friendliness, low cost, and industrial technology compatibility. The complex and variable usage environment also accelerates the development of flexible CZTS solar cells. However, the inferior flexibility of ITO films limited their development. ZnO/Ag/ZnO (ZAZ) films are potential choices for transparent conductive layers of CZTS solar cells due to their high transmittance, conductivity, and flexibility. To further enhance the photovoltaic performance and mechanical durability of ZAZ films and solar cells, Ag2O was introduced into ZAZ film by magnetron sputtering. An ultra-high average transmittance of 96.6% in 400–800 nm was achieved for ZnO/Ag-Ag2O/ZnO (ZAAZ) films at Ag2O sputtering power of 40 W, which was attributed to the fact that Ag2O effectively inhibited the growth of 3D islands of Ag film, and formed a more uniform Ag film. ZAAZ films offered a superior figure of merit value of 0.1041 Ω−1. The power conversion efficiency (PCE) of ZAAZ solar cells was 6.94%, higher than that of ZAZ solar cells (6.69%). Remarkably, the PCE of ZAAZ solar cells was 7.9% higher than that of ZAZ solar cells after 1000 bending cycles. Therefore, Therefore, this approach may provide a promising way to improve the photovoltaic performance and mechanical durability of flexible solar cells.

La iluminación como una infraestructura de cuidado

This integrative literature review addresses the relevance of illumination. Through the lens of infrastructures of care, it proposes three analysis categories: (a) "illumination, culture, and life in society" gather studies on cultural and social aspects involving lighting; (b) "access to lighting, technology, and sustainability" demonstrates how access to light and technologies needs discussion considering structural disparities, resource scarcity, and sustainability; (c) "illumination in healthcare" explores its influence on the environment and perception of users in care settings. These themes intersect and demand a transdisciplinary approach. Analyses suggest that lighting projects and systems can contribute to feelings of welcoming, well-being, and belonging, while ensuring good visibility for services and procedures, alongside controlling glare and reflectance. Expanding exploratory research in social and community settings through case studies and prototype implementation is recommended. There is room for additional research considering illumination as an infrastructure of care, focusing on access and the positive experience of users and citizens.

Development of the Standardized Navigation Of Winter Mobility & Accessibility Network (SNOWMAN) course.

Manual wheelchairs (MWC) users have limited mobility during winter months as they encounter many environmental barriers that restrict their community participation. This paper outlines the creation and standardization of an outdoor environment designed to simulate the real-life conditions and obstacles experienced by MWC users in winter. This study consisted of four phases. In Phase 1, researchers used a qualitative ethnographic approach to document the specific challenges and adaptive strategies used by MWC users in winter conditions. In Phase 2, key informants with expertise in MWC winter mobility were invited to co-design the Standardized Navigation Of Winter Mobility & Accessibility Network (SNOWMAN) course. Participants reviewed draft design solutions and offered their input and suggestions to expand upon the initial design. A second co-design workshop included additional key informants, including service providers, policymakers, and professionals with expertise in landscape architecture and engineering, to validate the design solution. The workshops resulted in a detailed illustration of the SNOWMAN course, including five sections: platforms with side slopes, a miniature ice rink, curbs and curb cuts, a path with uneven winter surfaces, and modular ramps at various slopes. Phases 3 and 4 marked the conclusion of the study and involved fabrication of the SNOWMAN course and establishment of a standardized protocol for course setup and maintenance. The project aimed to offer several additional potential benefits, supported by the various stakeholders across the study phases, that extend beyond creation of a controlled and safe environment for wheelchair users to develop their winter mobility skills. Practicing wheelchair skills in this area may assist wheelchair users in gaining confidence which may ultimately translate to increased participation in the community.

Polyurethane combining preeminent toughness, puncture-resistance, and self-healing capabilities by multiple repair options based on dual dynamic covalent bonds

The development of self-healing materials has enabled the production of more reliable and intelligent materials. However, resolving the conflict between mechanical strength and self-healing efficiency as well as limited repair options of the self-healing materials is still the most pressing scientific challenge. In this study, a self-healing polyurethane with multiple repair methods is prepared by introducing disulfide bonds into thermo-reversible imine bonds-based polyurethane. The resultant polyurethane exhibits impressive comprehensive mechanical properties and preeminent repair capabilities. More importantly, damages can be repaired through various routes such as room temperature, moderate temperature, hair dryer blowing, and ethylenediamine assistance treatments. The superior mechanical properties, repetitive self-healing performance, and multiple options for repair is attributed to the cooperation of thermally reversible imine and disulfide exchanges, thermal motion of molecular chains, and dissociation/regeneration of hydrogen bonds. So this research provides numerous ideal options for repairing cracks and other damages in materials used in construction industry under different usage environments. Consequently, high-quality repairs, improved efficiency, and extended service life of construction engineering materials can be ensured.

Conjunctive surface water and groundwater management in a multiple user environment

The conjunctive use of surface water and groundwater is practiced worldwide as a measure to address water supply uncertainty. This paper focuses on a scenario in which an aquifer is open to multiple users and examines the impact of such an open-access environment on the stabilization function of conjunctive management. We construct a non-cooperative stochastic dynamic game model where multiple users utilize groundwater intake from a common aquifer as a complement to fluctuating surface water. We also propose a simpler baseline applicable to dynamic environments to compute the benefits of the stabilization function when users are unable to adjust groundwater intake to surface water uncertainties. We then apply the model to the real-world case of the water supply environment of the Cao’e River in China. Simulation results show that open access leads to diminishing stabilization values as higher pumping costs due to declining stocks lead to a weakening of users’ incentive to utilize groundwater flexibly. Furthermore, the stabilization function itself is destabilized as the number of users increases. This is because greater groundwater intake and a decline in stocks amplify variations in pumping costs caused by different patterns of surface-water fluctuation.

Redirection Strategy Switching: Selective Redirection Controller for Dynamic Environment Adaptation.

In this paper, we present the Selective Redirection Controller (SRC), which selects the optimal redirection controller based on the physical and virtual environment in Redirected Walking (RDW). The primary advantage of SRC over existing controllers is its dynamic switching among four different redirection controllers (S2C, TAPF, ARC, and SRL) based on the user's environment, as opposed to using a single fixed controller throughout the experience. By switching between redirection controllers based on the context around the user, SRC aims to optimize the advantages of each redirection strategy. The SRC model is trained using reinforcement learning to dynamically and instantaneously switch redirection controllers based on the user's environment. We evaluated the performance of SRC against traditional redirection controllers through simulations and user studies conducted in various physical and virtual environments. The findings indicate that SRC reduces the number of resets significantly compared to traditional redirection controllers. Heat map visualization was utilized during the development process to analyze which redirection controller SRC chooses based on the different environments around the user. SRC alternates between redirection techniques based on the user's environment, maximizing the advantages of each strategy for a superior RDW experience.