Coordinates Of Points Research Articles

Machine Vision-Based Method for Reconstructing the Vehicle Coordinate System in End-of-Line ADAS Calibration

To ensure the accuracy and reliability of Advanced Driver Assistance Systems (ADAS), it is essential to perform offline calibration before the vehicles leave the factory. This paper proposes a method for reconstructing the vehicle coordinate system based on machine vision, which can be applied to the offline calibration of ADAS. Firstly, this study explains the preliminary preparations, such as the selection of feature points and the choice of camera model, combining actual application scenarios and testing requirements. Subsequently, the YOLO model is trained to identify and obtain feature regions, and feature point coordinates are extracted from these regions using template matching and ellipse fitting. Finally, a validation experiment is designed to evaluate the accuracy of this method using metrics such as the vehicle’s lateral and longitudinal offset distances and yaw angle. Experimental results show that, compared to traditional vehicle alignment platforms, this method improves reconstruction accuracy while reducing costs.

ANALYSIS OF EFFECTIVENESS OF HEALTH FACILITIES SERVICES IN MAGELANG REGENCY, INDONESIA

One of the priorities for health development in Magelang Regency is improving the quality of health services. In fact, it was found that the health facilities in Magelang Regency are adequate. However, it is imperative to figure out if they function well. Therefore, the purpose of this study was to assess the level of effectiveness of existing health facilities in this regency. The data used in this study are the number and coordinate points of the hospital and community health centres. The data analysis uses multi-ring buffer analysis. The results show that the level of effectiveness of hospital health services in the category of very high effectiveness, 0.94% of the total area. The effectiveness of the distribution of hospitals is in the low category can serve 12.16% of the total area. The effectiveness of the distribution of community health centres facilities is in the very high category,0.43% of the district area, and the very low category covers 36.48% of the area of Magelang Regency.

GeoFRESH – an online platform for freshwater geospatial data processing

ABSTRACT Freshwater ecosystems are characterized by their unique longitudinal and lateral habitat connectivity. As a result, spatial units in freshwater-specific analyses can often not be considered independent of each other. Accounting for this connectivity in modelling analyses requires advanced skills in Geographic Information Systems (GIS) for adequately processing and managing the data. To address this challenge, we developed the GeoFRESH online platform, which is available at https://geofresh.org . The platform provides a graphical, easy-to-use interface to create freshwater-specific analysis-ready data for any given location in the world, based on a high-resolution stream network (https://hydrography.org/hydrography90m/hydrography90m_layers). Users can (i) upload and visualize point coordinates, (ii) automatically assign points to the closest stream network segment, (iii) annotate the point data with a suite of 104 local and/or upstream-aggregated topographic, climatic, land-cover and soil variables, (iv) visualize summary plots, and (v) download the data in csv-format for further analyses. The platform can be expanded given its modular structure and it can serve as a key element to support freshwater science and management relying on high-resolution geospatial analyses. GeoFRESH provides a low-entry interface while being complementary to the hydrographr R-package, and contributes importantly to the re-usability of data as an important aspect of the FAIR principles.

Optimizing the selection of the endoscopically assisted supracerebellar transtentorial approach to the medial temporo-occipital region: Clinical application of one novel grid coordinate system.

The endoscopically assisted supracerebellar transtentorial (eSCTT) approach is advocated for managing pathologies of the medial temporo-occipital region, but quantitative analysis is currently lacking. The aims of this study were to establish a grid coordinate system on the tentorium to model the anatomical relationship between medial temporo-occipital region pathology and the slope of the tentorium, and then to compare the paramedian eSCTT and extreme-lateral eSCTT approaches quantitatively. Bilateral paramedian and extreme-lateral eSCTT approaches were used to dissect three adult cadaveric heads anatomically. A grid coordinate system was established on the tentorium, and the angles of attack and depth of the surgical corridor of each coordinate point were obtained so that the two eSCTT approaches could be compared statistically. The measurements were then analyzed to determine the condition for selecting each eSCTT approach, and its clinical feasibility was assessed in three patients with large tumors in the medial temporo-occipital region. For coordinate points where the X-coordinate on the grid coordinate system was 1 cm outside the apex of the tentorium, the paramedian eSCTT approach had a significantly wider angle of attack and shorter depth of surgical corridor than the extreme-lateral eSCTT approach. In contrast, the extreme-lateral eSCTT approach was better for coordinate points where the Y-coordinate on the grid coordinate system was 1 cm in front of the apex of the tentorium. The long axis of each patient's tumor was projected on to the tentorium and its corresponding coordinate points were used to match the more appropriate eSCTT approach. Preliminary results for three patients treated with the eSCTT approach for large tumors in the medial temporo-occipital region were encouraging. When the eSCTT approach is applied to manage a large tumor of the medial temporo-occipital region, assessment of the long axis of the tumor and knowledge of the selective condition for each eSCTT approach can help in clinical decision-making.

Three-Dimensional Morphometric Analysis of the Volar Cortical Shape of the Lunate Facet of the Distal Radius.

In cases of distal radius fractures, the fixation of the volar lunate facet fragment is crucial for preventing volar subluxation of the carpal bones. This study aims to clarify the sex differences in the volar morphology of the lunate facet of the distal radius and its relationship with the transverse diameter of the distal radius. Sixty-four CT scans of healthy wrists (30 males and 34 females) were evaluated. Three-dimensional (3D) images of the distal radius were reconstructed from the CT data. We defined reference point 1 as the starting point of the inclination toward the distal volar edge, reference point 2 as the volar edge of the joint on the bone axis, and reference point 3 as the volar edge of the distal radius lunate facet. From the 3D coordinates of reference points 1 to 3, the bone axis distance, volar-dorsal distance, radial-ulnar distance, 3D straight-line distance, and inclination angle were measured. The transverse diameter of the radius was measured, and its correlations with the parameters were evaluated. It was found that in males, compared to females, the transverse diameter of the radius is larger and the protrusion of the volar lunate facet is greater. This suggests that the inclination of the volar surface is steeper in males and that the volar locking plate may not fit properly with the volar cortical bone of the lunate facet, necessitating additional fixation.

A Real-Time Intelligent Valve Monitoring Approach through Cameras Based on Computer Vision Methods.

Abnormal valve positions can lead to fluctuations in the process industry, potentially triggering serious accidents. For processes that frequently require operational switching, such as green chemical processes based on renewable energy or biotechnological fermentation processes, this issue becomes even more severe. Despite this risk, many plants still rely on manual inspections to check valve status. The widespread use of cameras in large plants now makes it feasible to monitor valve positions through computer vision technology. This paper proposes a novel real-time valve monitoring approach based on computer vision to detect abnormalities in valve positions. Utilizing an improved network architecture based on YOLO V8, the method performs valve detection and feature recognition. To address the challenge of small, relatively fixed-position valves in the images, a coord attention module is introduced, embedding position information into the feature channels and enhancing the accuracy of valve rotation feature extraction. The valve position is then calculated using a rotation algorithm with the valve's center point and bounding box coordinates, triggering an alarm for valves that exceed a pre-set threshold. The accuracy and generalization ability of the proposed approach are evaluated through experiments on three different types of valves in two industrial scenarios. The results demonstrate that the method meets the accuracy and robustness standards required for real-time valve monitoring in industrial applications.

High-Precision Positioning and Rotation Angle Estimation for a Target Pallet Based on BeiDou Navigation Satellite System and Vision.

In outdoor unmanned forklift unloading scenarios, pallet detection and localization face challenges posed by uncontrollable lighting conditions. Furthermore, the stacking and close arrangement of pallets also increase the difficulty of positioning a target pallet. To solve these problems, a method for high-precision positioning and rotation angle estimation for a target pallet using the BeiDou Navigation Satellite System (BDS) and vision is proposed. Deep dual-resolution networks (DDRNets) are used to segment the pallet from depth images and RGB images. Then, keypoints for calculating the position and rotation angle are extracted and further combined with the 3D point cloud data to achieve accurate pallet positioning. Constraining the pixel coordinates and depth coordinates of the center point of the pallet and setting the priority of the pallet according to the unloading direction allow the target pallet to be identified from multiple pallets. The positioning of the target pallet in the forklift navigation coordinate system is achieved by integrating BDS positioning data through coordinate transformation. This method is robust in response to lighting influences and can accurately locate the target pallet. The experimental results show that the pallet positioning error is less than 20 mm, and the rotation angle error is less than 0.37°, which meets the accuracy requirements for automated forklift operations.

Doping Profile Meter for Semiconductor Structures

ABSTRACT A measuring device designed to gauge the distribution of electrically charged impurities within strongly asymmetric p – n junctions, Schottky barriers, and metal – insulator – semiconductor structures, employs the capacitance – voltage method. This device is controlled by a personal computer through a microcontroller. The coordinates of the concentration profile points are determined through a simultaneous selection of signals proportional to the concentration and its spatial coordinate, achieved by the selective hardware separation of information frequencies from a polyharmonic voltage. This process occurs in a structure installed in the negative-feedback circuit of the operational amplifier. The entire profiling process takes 30 seconds. It boasts a depth resolution of 15 angstroms (equivalent to 3‒4 atomic layers of the crystal lattice) at an impurity concentration of 5 × 1017 cm−3, with a maximum measured concentration of 5 × 1018 cm−3. The dimensions of the measuring device are 180 × 120 × 50 mm. The study presents examples of its practical applications.

Vision-Based obstacle detection in dangerous region of coal mine driverless rail electric locomotives

In order to solve the problem of inaccurate obstacle detection as well as frequent start-stops caused by oversensitive obstacle detection in existing driverless rail electric locomotives in underground coal mines, the YOLO-Region model is proposed to realize regional obstacle detection. First, the model backbone uses InceptionNeXt block and the developed New Spatial Pyramid Pooling (NSPP) module; the model neck extends the FPN+PAN architecture; the model head uses improved task-specific context decoupling (Impro-TSCODE) head. In addition, repulsion loss is introduced to improve the detection ability of partially occluded targets. The experimental results show that the YOLO-Region achieves competitive detection performance with mAP of 98.0 % and an average detection speed of 94.5 FPS. Second, a vision-based method for defining dangerous region based on pixel coordinate points is developed and integrated into YOLO-Region, which allows the model to detect obstacles only within a specific region, thereby reducing frequent start-stops of driverless electric locomotives.

Performance Management Decision-Making Model: Case Study on Foreign Language Learning Curriculums

Foreign language learning courses can be regarded as a service operation system, and a complete foreign language learning course performance evaluation model can help improve the effectiveness of student learning. The performance evaluation matrix (PEM) is an excellent tool for evaluation and resource management decision making, and the administrator uses the satisfaction and the importance indices to establish evaluation coordinate points based on the rules of statistical testing. The coordinate points of all service items are plotted into the PEM to grasp the full picture and to make decisions on what to improve or to consider resource transfers so as to elevate the overall satisfaction of the entire service. However, plotting all the coordinate points on the PEM can only be performed by programming, which will lead to limitations in practice. Therefore, instead of the above evaluation rules, this article uses the confidence intervals of decision-making indicators to form a validity evaluation table, to decide which teaching service items should be improved, maintained, or transferred to improve the satisfaction of the entire service system. This form of performance evaluation can be completed using any commonly used word-processing software, so it is easy to apply and promote. Finally, this article provides an applied example to illustrate the proposed method.

Optimalisasi Penentuan Posisi Access Point Untuk Meminimalisir Area Blankspot Pada Pantai Panrangluhu

This research aims to determine the optimal position of Access Point to reduce blankspot area in Panrangluhu Beach. The research methodology involves several main steps: (1) Research planning is done by collecting important data such as beach plan, Access Point height, location coordinates, distance between points, and RSSI (Received Signal Strength Indicator) value; (2) Access Point and receiver position coordinates are determined in an outdoor environment; (3) RSSI value data received by the receiver is collected using WiFi Signal Meter software. To ensure even network coverage, network quality testing was conducted in the eight cardinal directions at each hotspot point. The results showed that four hotspot points were needed to achieve optimal network coverage throughout the beach area. With this strategic placement, it is expected that there are no areas that are not covered by the network, so that visitors to Panrangluhu Beach can enjoy stable and evenly distributed internet access throughout the beach.

PERANCANGAN APLIKASI INFORMASI PENDAKIAN GUNUNG DI INDONESIA BERBASIS ANDROID DENGAN MENGGUNAKAN METODE PROTOTYPE

Nowadays, more and more teenagers and adults are interested in mountain climbing. Climbers are keen to find information about the routes and mountains they will be climbing. However, many mountaineers complain that the information they get about climbing routes is not accurate or complete. The information currently available is only general information and does not have accurate data such as coordinate points, mountain profiles, transportation facilities, and other facilities that help climbing. To solve this problem, Object Oriented Design (OOD) and Prototype system development methods were used to create an Android-based Indonesian mountaineering information application. The application was developed using Android Studio and designed to provide comprehensive information for mountaineers, including paths to the mountain, photo galleries, current news about the mountain to be climbed, climbing posts, and geographical locations. The study resulted in contributions in various aspects that can improve the safety and comfort of mountaineers in Indonesia. With more accurate and complete information and the utilization of modern technology, this application supports mountaineering activities significantly. Climbers not only get better guidance but also feel safer and more comfortable in pursuing their hobby.

High-Precision Calibration Method and Error Analysis of Infrared Binocular Target Ranging Systems

Infrared binocular cameras, leveraging their distinct thermal imaging capabilities, are well-suited for visual measurement and 3D reconstruction in challenging environments. The precision of camera calibration is essential for leveraging the full potential of these infrared cameras. To overcome the limitations of traditional calibration techniques, a novel method for calibrating infrared binocular cameras is introduced. By creating a virtual target plane that closely mimics the geometry of the real target plane, the method refines the feature point coordinates, leading to enhanced precision in infrared camera calibration. The virtual target plane is obtained by inverse projecting the centers of the imaging ellipses, which are estimated at sub-pixel edge, into three-dimensional space, and then optimized using the RANSAC least squares method. Subsequently, the imaging ellipses are inversely projected onto the virtual target plane, where its centers are identified. The corresponding world coordinates of the feature points are then refined through a linear optimization process. These coordinates are reprojected onto the imaging plane, yielding optimized pixel feature points. The calibration procedure is iteratively performed to determine the ultimate set of calibration parameters. The method has been validated through experiments, demonstrating an average reprojection error of less than 0.02 pixels and a significant 24.5% improvement in calibration accuracy over traditional methods. Furthermore, a comprehensive analysis has been conducted to identify the primary sources of calibration error. Ultimately, this achieves an error rate of less than 5% in infrared stereo ranging within a 55-m range.

Extraction of Crop Row Navigation Lines for Soybean Seedlings Based on Calculation of Average Pixel Point Coordinates

The extraction of navigation lines is a crucial aspect in the field autopilot system for intelligent agricultural equipment. Given that soybean seedlings are small, and straw can be found in certain Northeast China soybean fields, accurately obtaining feature points and extracting navigation lines during the soybean seedling stage poses numerous challenges. To solve the above problems, this paper proposes a method of extracting navigation lines based on the average coordinate feature points of pixel points in the bean seedling belt according to the calculation of the average coordinate. In this study, the soybean seedling was chosen as the research subject, and the Hue, Saturation, Value (HSV) colour model was employed in conjunction with the maximum interclass variance (OTSU) method for RGB image segmentation. To extract soybean seedling bands, a novel approach of framing binarised image contours by drawing external rectangles and calculating average coordinates of white pixel points as feature points was proposed. The feature points were normalised, and then the improved adaptive DBSCAN clustering method was used to cluster the feature points. The least squares method was used to fit the centre line of the crops and the navigation line, and the results showed that the average distance deviation and the average angle deviation of the proposed algorithm were 7.38 and 0.32. The fitted navigation line achieved an accuracy of 96.77%, meeting the requirements for extracting navigation lines in intelligent agricultural machinery equipment for soybean inter-row cultivation. This provides a theoretical foundation for realising automatic driving of intelligent agricultural machinery in the field.

A Method for Correction of Dynamic Errors When Measuring Flat Surfaces.

This paper presents a new method for correction of dynamic errors occurring when measuring flat surfaces in the presence of mechanical effects. Mechanical effects cause inertial forces and moments that affect the moving components of measuring instruments, thereby causing dynamic errors. The study proposes a mathematical model, on the basis of which algorithms for correction of dynamic errors can be developed. The basic concept of the model is based on determining the optimal estimate in the current coordinate point on the basis of the theoretical model of the measured surface and the information from the measurement that contains errors caused by internal and external factors. Based on this model, an algorithm for real-time data processing has been developed. The algorithm works in "predictor-corrector" mode at each step of which the best estimate is obtained. The estimate is based on minimizing the variance of a random component in which the main values are formed from the accumulated statistical data of the error of the model and the measurement error. This paper presents the results of experimental studies, carried out with simulations of mechanical effects in four modes. The results confirm the high efficiency of the algorithm for high-accuracy measurement of flat surfaces in the presence of mechanical effects.

A RBI Mapping Geographic Information System in Pangkep Regency Using ArcGis Online

The Indonesian Medan Map (RBI) is a topographic map that displays several natural and man-made elements in the territory of the Republic of Indonesia, especially in Pangkep Regency. The purpose of this study is to map sixteen RBI objects, namely Hospitals, Education, Industry, Health Centers, PLN Offices, Package Delivery Offices, Worship Facilities, Government, Ports, Post Offices, Gas Stations, Rivers, Dams, Roads, Irrigation, and Settlements. Use the ArcGIS Online app. This mapping is useful for providing information about the spatial data of objects and topographic maps. The method used is a survey by determining the coordinate points of each object. Furthermore, coordinate points are used as data input in ArcGIS applications. Primary data collection is carried out by direct observation of objects or places. Secondary data collection includes Quickbird Citra Pangkep Regency, as well as the Indonesian Medan Map (RBI). Data analysis was carried out in a descriptive manner. Based on the results of object mapping in Pangkep Regency, there are sixteen RBI objects, including: three health service objects, one education object, four transportation objects, five construction work service objects, one government object, one housing object and one worship object object. Sixteen RBI objects are spread throughout Pangkep district.

Zonasi Kawasan Wisata Pantai di Kota Padang Sumatera Barat Menggunakan Pemodelan Viewshed

Padang City is one of the cities in West Sumatra which has a coastline with a coastline of 68 km. The coast of Padang City is a special interest tourist area in West Sumatra Province. This research aims to determine the approximate zoning of coastal tourist areas using geotagging photo data and determine the range of visibility using viewshed modeling. Zoning is carried out using the Kernel Density method. Kernel Density divides zones through the density of geotagging photo coordinate point data. In this research, the geotagging photo data used is photos that capture coastal views in the city of Padang. The viewshed is carried out towards the mainland because it has topographic diversity. This type of research is qualitative research. The data used is secondary data obtained through the Ina-Geoportal agency. The results of the research showed that there are 6 core zones of coastal tourist areas that are usually visited by tourists in Padang City, West Sumatra Province. The tourist beach area has a viewshed area ranging from 0.174 km2 to 4,569 km2.

6 Durable response to immunotherapy-based regimens for IMDC favorable risk patients with metastatic clear cell renal cell carcinoma: a pooled analysis of four published randomized control phase 3 trials

Abstract Background An immune checkpoint inhibitor (ICI) backbone of either ICI doublet (ipilimumab-nivolumab [ipi-nivo]) or tyrosine kinase inhibitor (TKI) with ICI (such as axitinib-pembrolizumab [axi-pembro], cabozantinib-nivolumab [cabo-nivo], or lenvatinib-pembrolizumab [len-pembro]) is the current standard of care for previously untreated, metastatic clear cell renal cell carcinoma (mccRCC). The phase 3 trials that evaluated these four regimens were compared to sunitinib, with no direct head-to-head clinical trial data available. With at least 4-year follow up data available, we compared the long-term responders of the IMDC favorable risk patients enrolled in the four phase 3 trials (CheckMate 214, KEYNOTE-426, CheckMate 9ER, and CLEAR). Methods Pseudo individual patient data (IPD) was obtained from the Kaplan-Meier (K-M) curves using the graph digitizer software IPDfromKM R package to extract coordinates of points on the curves and applied the numerical algorithm to reconstruct survival results. The hazard ratios (HRs) of the favorable risk group for both progression-free survival (PFS) and overall survival (OS) comparing the experimental arms to sunitinib were extracted. Responses were measured at 24 (durable response [DR]) and 36 months (extreme durable response [EDR]) and long-term OS as OS ≥48 months. K-M method using the extracted IPD was used to estimate the survival rates at 24-month PFS, 36-month PFS, and 48-month OS. Then, we compared the survival rates at each time point using the generalized linear model for the survival rates at fixed time points obtained from the K-M method. Results Len-pembro was associated with the highest DR (57.2%) and EDR (44.5%), while ipi-nivo had the lowest DR (36.0%), and cabo-nivo had the lowest EDR (18.8%). There was no difference in 48 month-OS among regimens (p=0.11), ranging between 58.3% (cabo-nivo) and 70.6% (len-pembro). Comparing the sunitinib control arms among the four studies, a numerically higher PFS at 24 months (59%) and 36 months (40%) was observed in the CheckMate 214 trial compared to the ICI-TKI trials (25-35% and 15-20%, respectively). The 48-month OS for the sunitinib arms ranged from 55-70%, and no differences were observed among trials (p=0.55). Comparisons of survival rates for the immunotherapy arm on fixed time-points for IMDC favorable risk subset of patients Conclusions ICI-based regimens provided durable responses to a significant number of patients with favorable risk mccRCC. While TKI-ICI were associated with higher DR and EDR, no differences in OS at 48 months were observed compared to ipi-nivo or sunitinib for favorable risk disease. Longer follow-up is necessary to evaluate long-term outcomes given the favorable prognosis of these patients. We acknowledge the limitations and caveats of cross-trial comparisons.

Passive Vision Detection of Torch Pose in Swing Arc Narrow Gap Welding.

To enhance the synchronous detection of the horizontal and vertical positions of the torch in swing arc narrow gap welding, a torch pose detection (TPD) method is proposed. This approach utilizes passive visual sensing to capture images of the arc on the groove sidewall, using advanced image processing methods to extract and fit the arc contour. The coordinates of the arc contour center point and the highest point are determined through the arc contour fitting line. The torch center position is calculated from the average horizontal coordinates of the arc contour centers in adjacent welding images, while the height position is determined from the vertical coordinate of the arc's highest point. Experimental validation in both variable and constant groove welding conditions demonstrated the TPD method's accuracy within 0.32 mm for detecting the torch center position. This method eliminates the need to construct the wire centerline, which was a requirement in previous approaches, thereby reducing the impact of wire straightness on detection accuracy. The proposed TPD method successfully achieves simultaneous detection of the torch center and height positions, laying the foundation for intelligent detection and adaptive control in swing arc narrow gap welding.

On two contact problems for a half-plane with static friction

Abstract Exact solutions of two contact problems are constructed for a half-plane, when a finite number of absolutely rigid flat punches with friction are pressed into the half-plane under the influence of different concentrated loads, and when a periodic system of absolutely rigid flat punches with friction is pressed into the half-plane. It is assumed that friction in contact zones is associated with normal contact pressure by the generalized law of dry friction, in which the coefficient of friction depends on the coordinates of the contacting points of the contacting bodies and is directly proportional to the difference between the coordinates of these points and the coordinates of the middle points of the contact zones. The governing equations of the posed problems were obtained in the form of singular integral equations with variable coefficients relative to the contact pressure and their closed solutions were constructed.