Visual Equipment Research Articles

AI+AR based Framework for Guided Visual Diagnosis of Equipment

Automated solutions for effective support services, such as failure diagnosis and repair, are crucial to keep customer satisfaction and loyalty. However, providing consistent, high quality, and timely support is a difficult task. In practice, customer support usually requires technicians to perform onsite diagnosis, but service quality is often adversely affected by limited expert technicians, high turnover, and minimal automated tools. To address these challenges, we present a novel solution framework for aiding technicians in performing visual equipment diagnosis. We envision a workflow where the technician reports a failure and prompts the system to automatically generate a diagnostic plan that includes parts, areas of interest, and necessary tasks. The plan is used to guide the technician with augmented reality (AR), while a perception module analyzes and tracks the technician’s actions to recommend next steps. Our framework consists of three components: planning, tracking, and guiding. The planning component automates the creation of a diagnostic plan by querying a knowledge graph (KG). We propose to leverage Large Language Models (LLMs) for the construction of the KG to accelerate the extraction process of parts, tasks, and relations from manuals. The tracking component enhances 3D detections by using perception sensors with a 2D nested object detection model. Finally, the guiding component reduces process complexity for technicians by combining 2D models and AR interactions. To validate the framework, we performed multiple studies to:1) determine an effective prompt method for the LLM to construct the KG; 2) demonstrate benefits of our 2D nested object model combined with AR model.

Combustion visualization analysis of alternative fuels in the pulverized coal injection raceway through laminar flow reactor

Currently, the steelmaking process uses a pulverized coal injection (PCI) system that serves as the heat source and reductant for ironmaking (blast furnace and FINEX) where system uses expensive high-grade coal and high operating costs. Hydrogen steelmaking is currently being developed to achieve carbon-free operation. To achieve a soft-landing during this phase of rapid change, the use of biomass and inexpensive, thermal coal, and coke dust is necessary. Research on their combustion characteristics is necessary to apply these alternative fuels to PCI. Therefore, this study analyzed the combustion characteristics of ignition delay, devolatilization, and char combustion using a laminar flow reactor visualization equipment that simulates blast furnace (BF) and FINEX PCI tuyere, using flame image data processing. The ignition time were generally longer in BF than in FINEX, and the char combustion length and time also showed the same trend due to the high oxygen rate which indicate under 2 ms on ignition delay, under 16 ms on char combustion. Also, the volatile cloud was qualitatively shown in the image to be highest in thermal coal and biomass with high volatile matter. Based on the correlation and theoretical calculation with proximate analysis and the results, ignition delay time had a combined effect of volatile matter and moisture except coke dust, and char combustion time affected unburned carbon. The combustion chemical characteristics were discussed with chemical percolation devolatilization (CPD) model parameter. Through SEM image and BET analysis, the surface area has been increased more than 10 times after combustion. Consequently, the biomass and high moisture thermal coal could cofired within 10 % and coke dust could be cofired within 9 %, respectively.

Parasternal thoracotomy via sternocostal disarticulation: a novel surgical approach to the canine thorax.

To describe the technique and outcomes of a modified paramedian thoracic approach in dogs involving a parasternal thoracotomy via rib disarticulation at the sternocostal joint. 93 client-owned dogs. Medical records of dogs that underwent parasternal thoracotomy at a private practice between the years 2015 and 2021 were reviewed. Signalment, weight, clinical presentation, surgical details, complications, and short-term outcomes were recorded. Cox proportional hazards regression models were utilized to analyze the impact of covariates on hazard events. Kaplan-Meier curves were employed to evaluate survival functions for select variables. Parasternal thoracotomy via sternocostal disarticulation was performed in 93 dogs. Eighty-eight dogs (94.6%) survived the procedure. Eighty-three dogs (89.2%) survived to discharge from the hospital. Age, weight, postoperative time to eating, postoperative ambulation, and surgical or anesthetic duration were not significantly associated with survival to discharge. Thoracostomy tube duration significantly decreased the likelihood for survival to discharge; for each additional hour of thoracostomy tube placement, the odds of survival to discharge diminished by 5.7% (hazard ratio, 0.94; 95% CI, 0.912 to 0.976). Parasternal thoracotomy via rib disarticulation at the sternocostal joints may be a viable alternative to median sternotomy that does not require specialized equipment for bilateral hemithoracic visualization. Postoperative complications and short-term outcomes are comparable to those reported for the traditional median sternotomy approach. Prolonged thoracostomy tube duration may impact survival to discharge.

Comparing Artificial Intelligence-Based Versus Conventional Endotracheal Tube Monitoring Systems in Clinical Practice.

Endotracheal tube dislodgement is a common patient safety incident in clinical settings. Current clinical practices, primarily relying on bedside visual inspections and equipment checks, often fail to detect endotracheal tube displacement or dislodgement promptly. This study involved the development of a deep learning, artificial intelligence (AI)-based system for monitoring tube displacement. We also propose a randomized crossover experiment to evaluate the effectiveness of this AI-based monitoring system compared to conventional methods. The assessment will focus on immediacy in detecting and handling of tube anomalies, the completeness and accuracy of shift transitions, and the degree of innovation diffusion. The findings from this research are expected to offer valuable insights into the development and integration of AI in enhancing care provision and facilitating innovation diffusion in medical and nursing research.

A Piezoelectric Nanogenerator-Driven Dual-Mode Platform for Visualization and Impedance Sensing.

Traditional visual biosensing platforms rely on color to display detection results, which can be influenced by individual visual abilities, equipment, parameters, and lighting conditions during photo capture. This limitation significantly impedes the advancement of next-generation portable electrochemical biosensors. Therefore, we propose a visual biosensing device that utilizes distance as an indicator, enabling the facile determination of the length of discoloration, which is inversely proportional to the concentration of the target analyte. The separation of the Signal Generation (SG) and Signal Output (SO) regions effectively mitigates potential interference from the sample color. Additionally, the SG region can be disassembled to facilitate electrochemical impedance spectroscopy (EIS) detection in laboratory settings, enabling dual-mode detection. Meanwhile, the utilization of piezoelectric nanogenerators (PENG) empowers the entire point-of-care testing (POCT) sensing device, effectively addressing the issue of a limited battery life. The biosensing device exhibited a satisfactory linear range (EIS mode, 5 pg/L to 5 mg/L; visual mode, 0.5 ng/L to 5 mg/L) and a low limit of detection (EIS mode, 2.3 pg/L; visual mode, 0.14 ng/L) with S/N = 3 for ochratoxin A (OTA) under optimized conditions. The self-powered and cost-effective dual-mode biosensing platform developed for OTA detection offers clear and easily interpretable results, demonstrating a high accuracy in laboratory settings.

АНАЛИЗ НАДЕЖНОСТИ СРЕДСТВ ИНДИВИДУАЛЬНОЙ ЗАЩИТЫ ОРГАНОВ ДЫХАНИЯ ПОЖАРНЫХ

The article examines the analysis of the equipment of fire and rescue units of the Ministry of Emergency Situations of Russia in the Vladimir region with personal respiratory and visual protection equipment for firefighters. The statistics of their failures are presented, as well as the process of determining the most unreliable elements of the personal respiratory and visual protection equipment for firefighters, as well as an analysis of the causes of failures. It was determined that the main reasons for the failures of the personal respiratory and visual protection equipment for firefighters are a decrease in the reliability of the functional elements of the pulmonary automaton: a violation of the tightness of the housing, incomplete switching on/off of the additional air supply button (bypass) due to mechanical action on the actuator (springs, membranes), a change in the shape and chemical composition of plastic elements. It is shown that a significant number of negative factors affect the reliability of the personal respiratory and visual protection equipment for firefighters. The results of the study will be useful for both responding fire and rescue units and manufacturers of personal respiratory and visual protection equipment for firefighters in terms of forecasting and monitoring the reliability of their elements. In practice, this will increase the safety and efficiency of fire protection units in an inhospitable environment.

Dentistry In Metaverse - Virtual Aspect Of Practical World

Modern advancements in dentistry have provided great ease in the dental practice. Dentophobia is a major concern especially during the time of invasive dental procedures. Virtual Reality (VR) and Augmented Reality (AR) have proven beneficial in changing the patient’s experience as well as in providing a thorough exposure of the clinical application of dentistry to the dental professionals hence improving their skills and quality of education. VR and AR have set their foot in almost every single branch of dentistry, ranging from maxillofacial surgery, implantology, endodontics to pediatric dentistry. AR and VR are the perfect example of amalgamation of the virtual world and the real world. There are three types of VR systems- immersive, semi-immersive and non-immersive. With the AR system a surgeon is able to map the entire surgery along with the necessary modifications to be incorporated during the procedure to increase its efficacy. VR and AR systems are the modern non pharmacological methods used in the behaviour management in pediatric dentistry with significant positive results. These systems are also used in detecting the pulp canals which increases the quality of an RCT. The use of AR and VR has improved the diagnosis leading to the formulation of an effective and upgraded treatment plan. However certain disadvantages like visual fatigue, expenditure and equipment failure cannot be overlooked while utilising these revolutionised systems.

Magnetic-gold nanoparticle-mediated paper-based biosensor for highly sensitive colorimetric detection of food adulteration

Food adulteration presents a significant challenge due to the evasion of legal oversight and the difficulty of identification. Addressing this issue, there is an urgent need for on-site, rapid, visually based small-scale equipment, along with large-scale screening technology, to enable prompt results without providing opportunities for dishonest traders to react. Colorimetric reactions offer advantages in terms of speed, visualization, and miniaturization. However, there is a scarcity of suitable colorimetric reactions for food adulteration detection, and interference from colored food impurities and easily comparable color results affects accuracy. To overcome limitations, this study introduces a novel approach utilizing polydopamine magnetic nanoparticles to enrich DNA in food samples, effectively eliminating interfering components. By employing gold nanoparticles to generate magnetic-gold nanoparticles, a single magnetic bead achieves simultaneous enrichment, impurity removal, and detection. The use of paper-based biosensors and visualization equipment allows for the visualization and digital analysis of results, achieving a low detection limit of 4.59 nmol mL−1. The method also exhibits high accuracy and repeatability, with a RSD ranging from 1.6 % to 4.0 %. This innovative colorimetric method addresses the need for rapid, miniaturized, and large-scale detection, thus providing a solution for food adulteration challenges.

Research on the Digital Maintenance Construction of Hydropower Unit

Abstract At present, the single unit capacity of hydropower unit is increasing, and the problems of difficulty, high precision, large number of labors and high cost in the maintenance process of large unit are becoming increasingly prominent. With the proposal of intelligent construction of hydropower plant, digital maintenance of hydropower unit has become a research hotspot. This article proposes a construction idea for a digitized maintenance system for hydraulic units based on technologies such as RFID, IoT, and artificial intelligence. This system can modularly manage the unit components and realize the integration and interaction of unit maintenance information through the visualization platform. It utilizes IoT sensors to collect comprehensive information on the components involved in the maintenance process. The components’ information is managed in a hierarchical manner using device KKS coding and a hierarchical structure diagram of the hydraulic unit’s equipment components. Through a visualization platform and equipment knowledge base, the component information is processed and analyzed to generate optimal assembly sequences and paths, thus improving the scientific and rational aspects of the unit’s maintenance process. This approach provides theoretical support for maintenance operations and enhances overall work efficiency.

β-Galactosidase-triggered in situ synthesis of yellow emitting silicon nanoparticle and its application in visual detection of E. coli O157:H7 and drug susceptibility test

The sensitive detection of foodborne pathogenic and rapid antibiotic susceptibility testing (AST) is of great significance. This paper reports the enzyme-triggered in situ synthesis of yellow emitting silicon nanoparticles (SiNPs) and the detection of Escherichia coli (E. coli) O157:H7 in food samples and the rapid AST. The rapid counting of E. coli O157:H7 has been achieved through direct visual observation, equipment detection, and smartphone digitalization. A simple detection platform based on smartphone senses and cotton swabs has been established. Meanwhile, rapid AST based on enzyme-catalyzed SiNPs can intuitively obtain colorimetric samples. This paper established a system for bacterial enzyme-triggered in situ synthesis of SiNPs, with high responsiveness, luminescence ratio, and specificity. The detection limit for E. coli O157:H7 can reach 100 CFU/mL during 5 h, and the recovery efficiency ranges from 90.14% to 110.16%, which makes it a promising strategy for the rapid detection of E. coli O157:H7 and AST.

Development of degradable fiber slickwater system and enhanced proppants-carrying mechanism

Slickwater fracturing fluid has become one of the most popular fracturing fluids due to its low frictional resistance and cleanness. However, slickwater has limited proppants-carrying ability because of its low viscosity. It often leads to proppants deposition in the near-wellbore and even sand plug. Simultaneously, it is impossible to transport the proppants to the distal end of the fractures, affecting the hydraulic fracturing effect. In this work, a degradable fiber slickwater fracturing fluid is innovatively constructed to carry proppants better. The adopted fibers have excellent degradability, no formation residues after complete degradation, and low reservoir damage. A series of rheological experiments are conducted to investigate the rheology of the fiber slickwater. Static proppants-carrying experiments and large visual dynamic proppants-carrying equipment simulate the proppants-carrying process in the reservoir to investigate its proppants-carrying performance. The fiber slickwater has the stronger structure than pure slickwater, the zero-shear viscosity can be enhanced by 20–1000 times, and the viscoelasticity is significantly improved. The dynamic proppants-carrying results show that the amount of proppants residue in the near-wellbore is reduced dramatically, and the proppants are laid more uniformly. About 11.8% of the proppants are delivered to the distal end. Finally, scanning electron microscope and electron microscope characterizations are used to reveal the proppants-carrying mechanism. This endeavor will develop a novel proppants-carrying concept for slickwater fracturing fluid.

A detachable interface for stable low-voltage stretchable transistor arrays and high-resolution X-ray imaging

Challenges associated with stretchable optoelectronic devices, such as pixel size, power consumption and stability, severely brock their realization in high-resolution digital imaging. Herein, we develop a universal detachable interface technique that allows uniform, damage-free and reproducible integration of micropatterned stretchable electrodes for pixel-dense intrinsically stretchable organic transistor arrays. Benefiting from the ideal heterocontact and short channel length (2 μm) in our transistors, switching current ratio exceeding 106, device density of 41,000 transistors/cm2, operational voltage down to 5 V and excellent stability are simultaneously achieved. The resultant stretchable transistor-based image sensors exhibit ultrasensitive X-ray detection and high-resolution imaging capability. A megapixel image is demonstrated, which is unprecedented for stretchable direct-conversion X-ray detectors. These results forge a bright future for the stretchable photonic integration toward next-generation visualization equipment.

Vein visualization enhancement by dual-wavelength phase-locked denoising technology

Visual near-infrared imaging equipment has broad applications in various fields such as venipuncture, facial injections, and safety verification due to its noncontact, compact, and portable design. Currently, most studies utilize near-infrared single-wavelength for image acquisition of veins. However, many substances in the skin, including water, protein, and melanin can create significant background noise, which hinders accurate detection. In this paper, we developed a dual-wavelength imaging system with phase-locked denoising technology to acquire vein image. The signals in the effective region are compared by using the absorption valley and peak of hemoglobin at 700[Formula: see text]nm and 940[Formula: see text]nm, respectively. The phase-locked denoising algorithm is applied to decrease the noise and interference of complex surroundings from the images. The imaging results of the vein are successfully extracted in complex noise environment. It is demonstrated that the denoising effect on hand veins imaging can be improved with 57.3% by using our dual-wavelength phase-locked denoising technology. Consequently, this work proposes a novel approach for venous imaging with dual-wavelengths and phase-locked denoising algorithm to extract venous imaging results in complex noisy environment better.

Autonomous Design of a Green Sea-Cleaner Boat

This paper addresses the urgent global issue of marine pollution, with a focus on the inadequacies of traditional cleanup methods and the promising potential of an autonomous green sea-cleaner boat. The study presents a sea-cleaner boat design with reduced wake-wash, integrated with an autonomous system using visual equipment and LiDAR sensors for precise navigation and debris identification. Parametric studies of catamaran hull configurations show that the Flat-Outside Model exhibits the lowest wave elevation, indicating reduced hydrodynamic force and wake-wash, making it an environmentally preferable option. Additionally, the sea-cleaner boat employs LiDAR for obstacle detection and a camera with a Convolutional Neural Network for efficient debris identification and collection, enhancing operational safety and efficiency. Overall, the autonomous green sea-cleaner boat represents a significant advancement in maritime environmental conservation.

基于深度学习的视觉水位识别技术与装备

基于深度学习的视觉水位识别技术与装备

First experience of applying domestic video fluorescent equipment for visualization and blood flow evaluation of the parathyroid glands

In recent years, predictive methods for assessing the preservation of the parathyroid glands have been actively implemented. The article describes the first experience of evaluating the blood supply of the parathyroid glands by quantitative determination of the indocyanine green (ICG) accumulation index in real time in 6 patients before and after a thyroidectomy with central neck lymph node dissection for papillary thyroid cancer. Intraoperative fluorescent angiography was performed by using domestic equipment with a fluorescent module, as well as by using a domestic medication of ICG. Intraoperative values of the ICG accumulation index were compared with the levels of ionized calcium and parathyroid hormone perioperatively. No clinical manifestations of hypocalcemia were detected in the postoperative period. The obtained results showed the informativeness of the numerical assessment of the intensity of ICG fluorescence. The evaluation of the distribution (accumulation) of ICG has prospects for practical application in thyroid surgery in the formation of tactics for preserving the parathyroid glands and predicting postoperative hypoparathyreosis.

Pola Komunikasi Kyai Dalam Membangun Budaya Disiplin Santri

The aim of the research is to explain and describe the communication patterns used by cottage caretaker in building a culture of santri discipline in Islamic boarding schools. Qualitative research method through case studies. Data collection techniques using interviews, documentation and observation. Data processing techniques: open coding, axial coding, selective coding and theoretical notes. Research results: (1) primary communication pattern: using verbal or non-verbal language with students. (b) secondary communication patterns: using visual or non-visual equipment with students. (c) linear communication pattern: direct face-to-face and non-face-to-face with students. (d) circular communication pattern: two-way communication that occurs continuously between kiai and santri.

CORRECTION OF THE INHOMOGENEITY OF THE BRIGHTNESS OF MAGNETIC RESONANCE IMAGES

he article deals with the problem of correcting the uneven intensity in magnetic resonance images. This problem is related to the features of the visualization equipment, may be caused by the instability of the field registration by magnetic coils and other technical reasons. The displacement field makes it difficult to use digital methods for recognizing objects in images and making a correct diagnosis. In this paper, it is proposed to use high- frequency filtering (rho filter, or ramp filter) to remove the distorting low-frequency systematic component. The results are illustrated by a model example and real processing of biomedical MRI images.

Digital Storytelling in Teaching Filipino Subject in Grade 7 Students

The study was conducted at San Guillermo National High School, San Marcelino, Zambales, Philippines. Its focus is on "DIGITAL STORYTELLING" IN TEACHING FILIPINO SUBJECT IN GRADE 7 STUDENTS. The study consisted of eighty-seven (87) participants who were divided into two groups or sections: the controlled group and experimental group. The researcher used an experimental design in the study because its purpose is to find out if “Digital Storytelling" influences the level of learning of students in the First Grading. The score obtained from the pretest and posttest were collected, tallied, and presented statistically using the mean, and MPs. The mean was used to find out the learning level of the controlled and experimental groups and to find out the significant differences of the mean scores in the pre-test and post-test of the two participating groups. In the pre-test and post-test conducted, it was recorded that the Controlled group Mean score is lower compared to Experimental group. Based on the collected results of the study, the following recommendations are made: a) DepEd is expected to allocate funds for trainings and workshops about Digital Storytelling so that Teachers have sufficient knowledge and boost the effectiveness of using this visual device; b) Teachers should prepare "Digital Storytelling" visual equipment for teaching literature in Filipino subject because it helps to cultivate students' performance; and c) This research needs to be continued so as to confirm the effectiveness of using 'Digital Storytelling' in teaching.

Effectiveness of Using Virtual Reality Media for Students' Knowledge and Practice Skills in Practical Learning

Virtual Reality (VR) has become an option to be used as a learning medium in engineering. A study of the effectiveness of VR is needed to determine which fields and types of learning are suitable to employ it. This work aims to reveal the effectiveness of virtual reality media on students' cognitive and practice skills. The role of the media as a tool to make learning more efficient and effective. VR media brings learning in the virtual world that seems to be done in real terms. The research method used was a quasi-experiment with a posttest-only control group design research approach. The research subject consisted of two homogeneous classes. Learning outcomes are evaluated by testing students' cognitive and practice skills. The novelty of this research is the creation of learning media that are identical to the welding process simulator. Visual practice places and equipment in virtual form through VR are made to resemble practice places and equipment used in real situations. This similarity aims to provide concrete information about the welding process. The study revealed that the use of VR media significantly affected their knowledge. However, it did not significantly affect their practice skills. VR has not been able to provide an experience closer to real-life conditions during welding, such as heat, sparks, and sounds that appear when the electrode touches the workpiece. The distance between the electrode and the workpiece significantly affects the welding result in the welding process.