Scanning Process Research Articles

MODERN INTELLECTUAL TECHNOLOGIES IN COMPUTER TOMOGRAPHY

In this article, an approach for the enhancement of computer tomography imaging by integrating modern technologies, including photon counting and dual-source CT, along with the application of the Ai-rad principles in Siemens Computer Tomography systems, is presented. The study proposes and empirically assesses the impact of these technologies on image quality and radiation safety. The architecture of dual-source CT and the photon-counting technique are explored, showcasing their role in improving diagnostic precision. Moreover, the article elaborates on the implementation of artificial intelligence through the Ai-rad approach, aimed at optimizing the scanning process and image analysis, while ensuring radiation doses are kept as low as reasonably achievable. The advantages of these contemporary technologies in addressing current challenges in CT imaging are presented. The results indicate that the synergy between advanced hardware capabilities and intelligent software algorithms leads to enhanced image resolution, reduced exposure to radiation, and overall improved clinical outcomes. This multi-faceted approach exemplifies the potential of modern innovations to set new benchmarks in the field of medical imaging. Keywords: Dual-Source CT, Photon Counting, AI-Rad, myNeedle, Diagnostic Precision, Radiation Safety.

Kegiatan preservasi preventif dan kuratif koleksi di Perpustakaan Universitas Komputer Indonesia

Collection preservation is a crucial aspect of a library system. A higher education library called the University of Computer Indonesia (Unikom) Library uses preservation to make sure that users can access collections in the future. This study aims to examine the collection preservation activities at the Unikom Library, focusing on the analysis of preventive and curative preservation activities. This research uses a qualitative descriptive method. The findings show that preventive preservation activities at the Unikom Library include educating users, controlling room temperature and humidity, keeping collections away from direct sunlight, installing naphthalene balls on bookshelves, and setting up CCTV, flap barriers, fire extinguishers, smoke detectors, and sprinklers. Meanwhile, curative activities include covering library materials, fumigation by third parties, regular cleaning of rooms and collections, binding library materials, replacing damaged covers or pages of books by third parties, and media conversion (digitization) of thesis collections done using a scanner through the scanning process. This study concludes that both preventive and curative preservation activities at the Unikom Library have been carried out effectively.

Inverse-Reinforcement-Learning-Based Robotic Ultrasound Active Compliance Control in Uncertain Environments

Robotic ultrasound systems (RUS) have gained increasing attention because they can automate repetitive procedures and relieve operators' workloads. However, the complexity and uncertainty of the human surface pose a challenge for stable scanning control. This paper proposes a general active compliance control strategy based on inverse reinforcement learning (IRL) to perform adaptable scanning for uncertain and unstructured environments. We analyze the manual scanning process pattern and propose a velocity-and-force-related control strategy to achieve variable force control and handle unpredictable deformation. Then, a hybrid policy optimization framework is proposed to improve transferability. In this framework, a reinforcement learning (RL) policy with a predefined reward is built to establish the relationship between contact force and posture. Furthermore, the policy is re-optimized using IRL and generated demonstrations for IRL training. The policy is trained on simple standard phantoms and further evaluated for stability and transferability in unseen and complex environments. Quantitative results show that the difference between the proposed method and the 3-D reconstructed model in terms of posture is (2.3±1.3°, 1.9±1.2°) in continuous scans. Overall, our method provides a solution for improving the usability of robotic ultrasound systems in real-world environments.

Proses digitalisasi karya ilmiah lama di Perpustakaan Fakultas Pertanian Universitas Padjadjaran

Because the Padjadjaran University Faculty of Agriculture Library has so many scholarly books, there is a mountain of accumulation inside of it. Science work is damp, moldy, and dirty. Furthermore, it is very challenging to find scientific articles later due to the mountains of them. The University of Padjadjaran Library's digitalization initiatives are predicated on this understanding. Examining the process of digitizing historical scientific articles (published prior to 2016) in the University of Padjadjaran's Faculty of Agriculture Library is the aim of this study. The research methodology used is a case study methodology using a qualitative approach. In order to gather data, observations and interviews are conducted. Interviews were conducted with the coordinator of digitization activities at the Library of the Faculty of Agriculture, University of Padjadjaran, digitization staff, and students who had done digitalization internships. Data analysis uses data reduction techniques, data presentation, and verification. The study's findings indicated that this digitizing process had previously been done, halted, and then continued till the present. The first step involves scanning; the second involves editing the results of the scanning process, such as adding a watermark or a password, but this step has not yet been completed; the three uploading procedures are uploaded to the Unpad Faculty of Agriculture Library's Google Drive. The last phase involves scanning and destroying the physical scientific works; nevertheless, official protocols have not been followed in this process. The study's findings demonstrate that while the digitization efforts undertaken are generally excellent, crucial information pertaining to particular SOPs at every stage of the process is still lacking.

An Adaptive Control Method and Learning Strategy for Ultrasound-Guided Puncture Robot

The development of a new generation of minimally invasive surgery is mainly reflected in robot-assisted diagnosis and treatment methods and their clinical applications. It is a clinical concern for robot-assisted surgery to use a multi-joint robotic arm performing human ultrasound scanning or ultrasound-guided percutaneous puncture. Among them, the motion control of the robotic arm, and the guiding and contact scanning processes of the ultrasonic (US-) probe determine the diagnosis effect, as well as the accuracy and safety of puncture surgery. To address these challenges, this study developed an intelligent robot-assisted system integrating autonomous US inspection and needle positioning, which has relation to several intelligent algorithms such as adaptive flexible control of the robot arm, autonomous US-scanning, and real-time attitude adjustment of the puncture needle. To improve the cooperativity of the spatial operation of the robot end-effector, we propose an adaptive flexible control algorithm that allows the operator to control the robot arm flexibly with low damping. To achieve the stability and uniformity of contact detection and imaging, we introduced a self-scanning method of US-probe based on reinforcement learning and built a software model of variable stiffness based on MuJoco to verify the constant force and velocity required by the end mechanism. We conducted a fixed trajectory scanning experiment at a scanning speed of 0.06 m/s. The force curve generally converges towards the desired contact force of 10 N, with minor oscillations around this value. For surgical process monitoring, we adopted the puncture needle detection algorithm based on Unet++ to acquire the position and attitude information of the puncture needle in real time. In short, we proposed and verified an adaptive control method and learning strategy by using an UR robotic arm equipped with a US-probe and puncture needle, and we improved the intelligence of the US-guided puncture robot.

BIMBot for Autonomous Laser Scanning in Built Environments

Accurate and complete 3D point clouds are essential in creating as-built building information modeling (BIM) models, although there are challenges in automating the process for 3D point cloud creation in complex environments. In this paper, an autonomous scanning system named BIMBot is introduced, which integrates advanced light detection and ranging (LiDAR) technology with robotics to create 3D point clouds. Using our specially developed algorithmic pipeline for point cloud processing, iterative registration refinement, and next best view (NBV) calculation, this system facilitates an efficient, accurate, and fully autonomous scanning process. The BIMBot’s performance was validated using a case study in a campus laboratory, featuring complex structural and mechanical, electrical, and plumbing (MEP) elements. The experimental results showed that the autonomous scanning system produced 3D point cloud mappings in fewer scans than the manual method while maintaining comparable detail and accuracy, demonstrating its potential for wider application in complex built environments.

LIDAR AND NEW DISCOVERIES OF HILLFORTS IN LATVIA

In the last four years, an explosion-like process of discovering new hillforts has been observed. This has been made possible due to the public availability of LIDAR relief maps and point-cloud data collected in the scanning process. This paper aims to describe the practical process of working with LIDAR data in discovering, describing and registering new hillforts, as well as look for answers to the question of why have so many hillforts (77 in the time from 2018 until 2021) only been discovered now and using remote sensing data. The paper gives an insight into the process of collaboration between professional archaeologists and history enthusiasts that spend countless hours going through LIDAR maps looking for relief transformations characteristic of hillforts. The result of this collaboration is an impressive number on new hillfort sites that change our views on settlement patterns and social processes in Latvian prehistory, especially in the Latgale region. This region has by far the highest number of new hillfort sites and it seems that the reasons for only discovering these hillforts with remote sensing data is related to the ethnic history of the region and the loss of hillfort folklore because of demographic and migration processes.

Methodology for retrospectively developing a BIM model from point cloud scans using ongoing building project as case study

Purpose The purpose of this study is to explore the suggestions that construction processes could be considerably improved by integrating building information modelling (BIM) with 3D laser scanning technologies. This case study integrated 3D laser point cloud scans with BIM to explore the effects of BIM adoption on ongoing construction project, whilst evaluating the utility of 3D laser scanning technology for producing structural 3D models by converting point cloud data (PCD) into BIM. Design/methodology/approach The primary data acquisition adopted the use of Trimble X7 laser scanning process, which is a set of data points in the scanned space that represent the scanned structure. The implementation of BIM with the 3D PCD to explore the precision and effectiveness of the construction processes as well as the as-built condition of a structure was precisely captured using the 3D laser scanning technology to recreate accurate and exact 3D models capable of being used to find and fix problems during construction. Findings The findings indicate that the integration of BIM and 3D laser scanning technology has the tendency to mitigate issues such as building rework, improved project completion times, reduced project cost, enhanced interdisciplinary communication, cooperation and collaboration amongst the project duty holders, which ultimately enhances the overall efficiency of the construction project. Research limitations/implications The acquisition of data using 3D laser scanner is usually conducted from the ground. Therefore, certain aspects of the building could potentially disturb data acquisition; for example, the gable and sections of eaves (fascia and soffit) could be left in a blind spot. Data acquisition using 3D laser scanner technology takes time, and the processing of the vast amount of data acquired is laborious, and if not carefully analysed, could result in errors in generated models. Furthermore, because this was an ongoing construction project, material stockpiling and planned construction works obstructed and delayed the seamless capture of scanned data points. Originality/value These findings highlight the significance of integrating BIM and 3D laser scanning technology in the construction process and emphasise the value of advanced data collection methods for effectively managing construction projects and streamlined workflows.

All-optically untangling light propagation through multimode fibers

When light propagates through a complex medium, such as a multimode optical fiber (MMF), the spatial information it carries is scrambled. In this work we experimentally demonstrate an all-optical strategy to unscramble this light again. We first create a digital model capturing the way light has been scattered, and then use this model to inverse-design and build a complementary optical system–which we call an optical inverter–that reverses this scattering process. Our implementation of this concept is based on multi-plane light conversion, and can also be understood as a physical matrix pre-conditioner, or a linear diffractive optical neural network. We present three design strategies allowing different aspects of device performance to be prioritized. We experimentally demonstrate a prototype optical inverter capable of simultaneously unscrambling up to 30 spatial modes that have propagated through a 1 m long MMF, and show how this promises near instantaneous incoherent imaging, without the need for any beam scanning or computational processing. We also demonstrate the reconfigurable nature of this prototype, allowing it to adapt and deliver a new optical transformation if the MMF it is matched to changes configuration. Our work represents a step towards a new way to see through scattering media. Beyond imaging, this concept may also have applications to the fields of optical communications, optical computing and quantum photonics.

Smile renaissance: Monolithic marvels with cad-cam crown

Progress in materials science, bonding protocols, and innovative manufacturing techniques promotes the creation of new ceramic materials. These advancements aim to address the growing need for fixed prosthodontics restorations that are not only highly aesthetic but also biocompatible and durable. The recently launched ALD ceramic, designed for the "Chairside Economical Restoration of Esthetic Ceramics" (CEREC) system, yields restorations that are both aesthetically satisfying and superior clinically. The reduced processing time, coupled with elevated flexural strength, enhances efficiency of chairside workflows. In this particular case report, restoration was deemed necessary for anterior tooth. This tooth underwent preparation, scanning, and design processes using CEREC-Omnicam, with subsequent fabrication using MCXL The rehabilitation accomplished with the ALD blocks resulted in a visually pleasing and functionally sound outcome. Notably, this approach contributed to a more efficient overall treatment time, resulting in heightened satisfaction for both the patient and the practitioner.

Examples of laser scanning application in JSW SA mines

Laser scanning offers timely assessments of mine sites despite challenges posed by operational environments. This article explores advancements in 3D scanning systems, data capture and processing techniques, and their primary applications in underground mining, using JSW SA mines as an example. While laser scanning has matured for tasks such as change detection, clearance measurements, and structure mapping, opportunities for enhancement exist in areas such as lithology identification, surface parameter measurements, and autonomous navigation. Limited infrastructure for data transfer and processing remains a constraint; however, laser scanners are increasingly pivotal in mine automation due to their affordability, accuracy, and mobility. Until recently, laser scanning was considered more of a curiosity than a mainstream measuring method. In Poland, creating maps for land surveying based on point clouds generated by laser scanners remains uncommon. Nevertheless, technological advances over the past decade have made surveyors, designers, architects, and conservators of historical monuments increasingly inclined and capable of utilizing point clouds generated by stationary scanners, which offer evergreater measurement accuracy. This article outlines how laser scanning, as an innovative measurement technique, has been integrated into the mining industry, particularly for shaft monitoring purposes.

Automating parasite egg detection: insights from the first AI-KFM challenge.

In the field of veterinary medicine, the detection of parasite eggs in the fecal samples of livestock animals represents one of the most challenging tasks, since their spread and diffusion may lead to severe clinical disease. Nowadays, the scanning procedure is typically performed by physicians with professional microscopes and requires a significant amount of time, domain knowledge, and resources. The Kubic FLOTAC Microscope (KFM) is a compact, low-cost, portable digital microscope that can autonomously analyze fecal specimens for parasites and hosts in both field and laboratory settings. It has been shown to acquire images that are comparable to those obtained with traditional optical microscopes, and it can complete the scanning and imaging process in just a few minutes, freeing up the operator's time for other tasks. To promote research in this area, the first AI-KFM challenge was organized, which focused on the detection of gastrointestinal nematodes (GINs) in cattle using RGB images. The challenge aimed to provide a standardized experimental protocol with a large number of samples collected in a well-known environment and a set of scores for the approaches submitted by the competitors. This paper describes the process of generating and structuring the challenge dataset and the approaches submitted by the competitors, as well as the lessons learned throughout this journey.

Taking Action Against Clinician Burnout Through Reducing the Documentation Burden With an Operating Room Supply Scanning Approach.

Documenting surgical supply items in the operating room can be a burdensome task for circulating nurses because of manual input within the electronic medical record. This can lead to documentation fatigue and contribute to nursing burnout. The aim of this quality improvement project was to design and implement a supply item scanning process and evaluate the effect on intraoperative documentation completion time, room turnover time, picklist documentation accuracy, nurse satisfaction, and burnout. The sample included nine acute care hospitals throughout the United States, with 189 total circulating nurses and 31 718 procedures occurring during the study timeframe of 8 months. Results indicated that nurses were able to complete documentation on average 37.33 minutes sooner, and the operating room turnover time decreased by 1.88 minutes. Although nurses reported that their perceived picklist documentation accuracy did not improve, and the presence of new scanning technology did not influence their hospital employment decision, subjective feedback was mostly positive, with most responses citing the helpfulness of scanning for documentation. This study shows that an interdisciplinary team can effectively work to optimize documentation efficiency and performance improvement using a scanning intervention. Lessons learned through this process can translate into optimizations elsewhere in the electronic medical record.

Konstruksi Bangunan dan Ragam Hias pada Arsitektur di Kraton Yogyakarta: Kajian Eksploratif

The Yogyakarta Palace complex as a trace of traditional Javanese architecture is now used as a cultural tourism destination, with at least seven buildings that are open to the public. Unfortunately, there are still not many documented studies discussing these buildings, especially related to architectural construction and art detailing. From this, the author conducted an explorative study with the intention of making it easier for ordinary people and academics to recognize and understand traditional buildings in the Yogyakarta Palace complex. The method used by the author is field survey, photographing and sketching existing architectural elements (construction and decoration), scanning, and data processing with literature study.

Inverse Kinematics Proposal to Automatize the 3D Scanning of Handball Shoes by Using a Robotic Arm with 3 Actuated Joints

The purpose of this paper is to present a procedure for automating the scanning process based on a mathematical model for a handheld 3D scanner for shoes used in some indoor sports. The study aims to use inverse kinematics to automate 3d footwear scanning used for indoor sport (handball) using a robotic arm with three joints. A modeling of the robotic arm and final effector was performed, to simulate the minimum and maximum trajectory of the robot arm according to the angles shown based on the mathematical model and inverse kinematics. With an easy-to-use interface and ergonomic design, this 3D scanning solution offers the versatility to scan various objects (such as scanning two shoe models used in indoor sports) and complex surface types. This scanning manner represents the state of the art of 3D scanning solutions as well as a benchmark in the 3D measurement equipment industry. The data obtained as a result of this research provide new directions and solutions for sports shoe scanning for indoor sports based on scanning trajectories preset by inverse kinematics in order to automate the scanning process using a handheld 3D scanner. Based on the mathematical model presented in the paper, automation of the scanning process can be achieved by maintaining the proposed trajectory using an automated arm operating through a control program that can be run on a simple controller.

The Relationship Between Depression And Emotion Dysregulation: A Meta-Analytic Study

The aim of the current study is to examine the relationship between emotion regulation difficulties and depression by meta-analysis method. As a result of the literature review, a total of 4582 studies were identified and these studies were analysed according to their titles and abstracts. As a result of the evaluations, 37 full texts were included in the analysis. The findings obtained from the analyses were examined and it was determined that there was no significant difference in all subgroups regarding the relationship between emotion regulation difficulties and depression, and the effect size between the two variables did not change. As a result of the REM analysis, it was seen that the generalised effect size of the relationship between difficulties in emotion regulation and depression was moderate (0.52). Considering the scanning process within the scope of this study, it can be stated that there are too many measurement differences and deficiencies in reporting.

Implementation of LoRa on entrance and exit communication as determination of access to AI building, State Polytechnic of Malang

The COVID-19 pandemic has changed many areas of life. One of the consequences is that the learning zone causes reduced mobility and limited face-to-face meetings. State Polytechnic of Malang in overcoming face-to-face learning, especially practical learning in the AI ??Building, of course, many students, not only have the need for practical lectures. The research that the author is doing here is a field research using a quantitative approach. This research was conducted at the AI Building of the State Polytechnic of Malang. In collecting the data needed the author uses observation techniques. Discussion used data analysis methods. The results of the research for the RSSI pattern with the transmit power set at 18dBm lora and the antenna frequency used at 433MHz obtained the RSSI value. At a distance of 2m to 8m there is a decrease in RSSI starting from -57dBm to -80dBm, continuing from a distance of 8m to 42m there is an ups and downs in RSSI. The throughput result is strongly influenced by the value of bytes and the time the throughput value when done twice scanning is smaller than four times scanning because the scanning processes have different times, this is in accordance with the calculation formula.

Triboelectrification and Unique Frictional Characteristics of Germanium-Based Nanofilms.

In this study, germanium arsenide (GeAs) is investigated as apromising nanomaterial for application in triboelectric nanogenerators and green energy harvesting. The mechanical and electrical properties of mechanically exfoliated GeAs on silica substrates are evaluated through friction force microscopy and Kelvin probe force microscopy, respectively. First, it is observed that the surface potential/work function of GeAs varied with thickness. Second, thickness-dependent friction on GeAs films is found. However, the variation of friction with GeAs thickness followed an inverse trend typically observed for most other 2D material systems: larger friction is measured on thicker GeAs films. The higher friction is attributed to the higher surface potential of thicker GeAs, resulting from the accumulation of electrons on the GeAs surface that also resulted in higher adhesion between GeAs surface and the tip. Finally, history-dependent friction is observed and resulted from a continual increase in the friction force as the surface is scanned and originated from the triboelectrification of the surface. The dynamic triboelectrification behavior of thick GeAs during the scanning process is further verified and visualized by a serial experiment, where the GeAs is tribo-electrified through scanning and gradually de-electrified/discharged upon ceasing the scan.

Влияние режимов дуговой автоматической сварки на геометрические параметры шва стыковых соединений из низкоуглеродистой стали, выполненных с применением экспериментального флюса

Introduction. The metallurgical industry in the territory of the Russian Federation has accumulated a significant amount of slags obtained during the smelting of steels and cast iron. The presence of slag dumps adversely affects the ecology of regions with metallurgical enterprises. When reducing iron from slags, the by-product becomes an oxide agglomerate, which can be considered as a flux composition for arc welding/surfacing under a layer of flux, fillers of powder wires, coatings of welding stick electrodes. The purpose of the work is to establish the possibility of arc welding using the flux obtained by the authors and to determine the optimal welding modes with the condition of achieving the geometric parameters of the seam according to GOST 8713-79 and the quality of the welded joint (absence of internal defects). In this paper, butt welded joints of sheet steel VSt3sp with a thickness of 5 mm obtained by automatic welding under a layer of flux at direct current with forced formation of a root roller on ceramic linings using flux from recycled metallurgical slag of an electric steelmaking enterprise are investigated. Automatic welding of flat specimens was carried out on a tractor-type ADF-1250 machine with a wire with a diameter of 3 mm, at a constant welding speed of 54 cm/min with varying current and arc voltage within 400–600 A and 27–37 V. The methods of investigation: Visual measuring and radiographic control, determination of deformation of specimens by laser scanning and computer processing of 3D models were used to evaluate the quality of welded joints. Statistical modeling in the form of a two-factor experiment was also used in the work, with obtaining adequate regression equations of the influence of welding modes on the geometric parameters of the seam: the height of reinforcement and the width of the seam on the front and back of the joint. Results and discussion. The possibility of obtaining welding fluxes from metallurgical slags of an electric steelmaking enterprise and its use for creating welded joints is shown. Optimal modes of arc welding of thin-walled sheet parts made of low-carbon steel with forced formation of a root roller on ceramic linings is established, ensuring the absence of internal defects in the form of pores, cracks and lacks of penetration, a minimum of residual deformations and compliance of the weld size with the requirements of the existing standard. The nominal values of the geometric parameters of the seam according to GOST 8713-79-C4 correspond to welding mode: welding speed 54 cm/min, welding current 550 A, arc voltage 30 V. The results of the work can be applied in metallurgical electric steelmaking enterprises producing low-carbon steel in the development of technologies for the use of welding materials from slag.

Chemical and Topographical Changes upon Sub‐100‐nm Laser‐Induced Periodic Surface Structure Formation on Titanium Alloy: The Influence of Laser Pulse Repetition Rate and Number of Over‐Scans

Titanium and its alloys are known to allow the straightforward laser‐based manufacturing of ordered surface nanostructures, so‐called high spatial frequency laser‐induced periodic surface structures (HSFL). These structures exhibit sub‐100 nm spatial periods – far below the optical diffraction limit. The resulting surface functionalities are usually enabled by both, topographic and chemical alterations of the nanostructured surfaces. For exploring these effects, multi‐method characterizations were performed here for HSFL processed on Ti–6Al–4V alloy upon irradiation with near‐infrared ps‐laser pulses (1030 nm, ≈1 ps pulse duration, 1–400 kHz) under different laser scan processing conditions, i.e., by systematically varying the pulse repetition frequency and the number of laser irradiation passes. The sample characterization involved morphological and topographical investigations by scanning electron microscopy (SEM), atomic force microscopy (AFM), tactile stylus profilometry, as well as near‐surface chemical analyses hard X‐ray photoelectron spectroscopy (HAXPES) and depth‐profiling time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS). This provides a quantification of the laser ablation depth, the geometrical HSFL characteristics and enables new insights into the depth extent and the nature of the non‐ablative laser‐induced near‐surface oxidation accompanying these nanostructures. This allows to answer the questions how the processing of HSFL can be industrially scaled up, and whether the latter is limited by heat‐accumulation effects.