Quick Registration Research Articles

Trust me if you can: Practical challenges affecting the integration of carpooling in Mobility-as-a-Service platforms

App-based Mobility-as-a-Service (MaaS) platforms combining public transport, car- and micro-mobility-shared services with real-time dynamic carpooling are emerging as viable alternatives to solo car use for sub-urban contexts. Insights from real-life implementation are however still limited. Which practical conditions may hinder the effectiveness of MaaS platforms leveraging carpooling? We tackle this question from the perspective of potential users of MixMyRide, a Swiss-based MaaS platform, based on co-design workshop sessions performed in Summer-Autumn 2022. We find four elements of practical interest, resonating with limitations already identified for carpooling. First, integrating carpooling in inter-modal trips increases the number of inter-changes potentially affected by delays. This requires real-time traffic information data, re-scheduling tools, and features for quick interaction between platform users. Second, features to create trust between strangers are needed, which require trade-offs between strict identity check and quick registration. Third, carpooling pick-up/drop-off may either endanger safety (if bus stops are used) or require inconvenient prior agreements, negatively affecting the MaaS platform’s dynamism. Fourth, carpooling offer is not granted. To accept possible discomfort in sharing personal space with strangers and time-effort to enter trip offers, drivers need specific incentives, such as sharing of travel expenses, reward vouchers by public institutions, or virtual gamification and feedback on saved emissions.

APPLICATION OF THERMAL IMAGING CAMERAS FOR SMARTPHONE: SEEK THERMAL COMPACT PRO AND FLIR ONE PRO FOR HUMAN STRESS DETECTION – COMPARISON AND STUDY

Thermography as an innovative diagnostic technique with non-contact temperature measurement is used in many industries – science, industry, medicine, and security. When using thermography in the field of health, images and images sequences obtained from thermal imaging cameras allow to record the temperature distribution in order to further recognize whether the state of the body is consistent with the defined parameters or whether there are deviations. However, it is worth paying attention to the measurement accuracy of thermal imaging cameras, their specification, and image quality of thermograms. In the case of recording stress states, measurement discrepancies between thermal imaging cameras for smartphone may affect the final results. Therefore, this article focuses on the comparison of the possibility of recording and detecting stress using two smartphone thermal imaging cameras: SEEK THERMAL Compact Pro and FLIR ONE Pro. The specifications of both cameras were compared. At the same time, the possibility of recording stress using smartphone thermal imaging cameras was confirmed on the basis of an exemplary study. The results of the comparison and analysis show that smartphone thermography can be a quick registration and diagnostic method in behavioral-biomedical issues.

Hostel Grievance System

The Grievance System for Hostel is a software application designed to manage complaints in educational institutions. The current manualsystem is time-consuming, inefficient, and prone to errors, which is why this proposed system aims to automate the complaint management process and make it more user-friendly. The proposed system offers advantages such as quick registration of complaints, a user-friendly interface for students to lodge and track their complaints, and transparency and accountability in the complaint management process. Additionally, the system is GUI-oriented and compatible with the existing system, ensuring a smooth transition. The system's efficiency can also be improved by generating reports, analyzing data, and identifying trends. In conclusion, the Grievance System for Hostel is an essential tool for managing complaints in educational institutions, providing apositive and supportive environment for students, and improving the efficiency of the complaint management process. KEYWORDS: Grievance system for Hostel, computerized system, web-based system, efficiency, drawbacks of the existing system, identification of the drawbacks.

Efficient co-registration of UAV and ground LiDAR forest point clouds based on canopy shapes

• Time-efficient co-registration of UAV and ground LiDAR data is proposed for plantation forests. • Coarse alignment of forest point clouds is divided into ground alignment and canopy image matching. • Canopy images are matched by two pairs of canopy corner points and the canopy overlap rate. • The runtime of coarse alignment is less than 1 s for millions of forest points. Registration of unmanned aerial vehicle laser scanning (ULS) and ground light detection and ranging (LiDAR) point clouds in forests is critical to create a detailed representation of a forest structure and an accurate retrieval of forest parameters. However, tree occlusion poses challenges for those registration methods used artificial markers, and some automated registration methods have low time-efficiency due to the process of object (e.g., tree, crown) segmentation. In this study, we propose an automated and time-efficient method to register ULS and ground LiDAR (including terrestrial and backpack laser scanning) forest point clouds. Registration involves coarse alignment and fine registration, where the coarse alignment is divided into vertical and horizontal alignment. The vertical alignment is implemented by rotating grounds to the horizontal plane, and the horizontal alignment is achieved by canopy image matching. During image matching, vegetation points are projected onto the horizontal plane to obtain two binary images, and then, canopy shape feature, which is described by a two-point congruent set and canopy overlap, is used to match the binary images. Finally, we implement coarse alignment of ULS and ground LiDAR datasets by combining the results of ground alignment and image matching and finish fine registration in six plantation forest plots with sizes of 0.03 ha to 0.25 ha. Experimental results show that the ULS and ground LiDAR data in different plots are registered, of which the coarse alignment errors are less than 0.20 m in the horizontal direction, the final registration accuracy is less than 0.15 m, and the average runtime is less than 1 s. Our study demonstrates the effectiveness of the proposed strategy and has able to perform accurate and quick registration of ULS and ground LiDAR data from plantation forests with different attributes.

Implementation of a Multifactorial Strategy Including Direct Bedding Is Associated With a Rapid and Sustained Reduction in Left Without Being Seen.

ObjectiveImprove left without being seen (LWBS) in our high volume, tertiary care trauma center. Prior to intervention, our LWBS rate was 4.4%. Including a direct bedding strategy, we successfully reduced our LWBS to <1%.Design and methodWe utilized a retrospective before and after model. We hired a clinical documentation specialist and tracked several metrics. These included daily census, admission rates, and door to provider, door to room, average boarding, and door to disposition times. Data were collected and disseminated daily. Reports were shared at organization quality meetings. Simultaneously, we implemented the direct bedding initiative in conjunction with quick registration. To accommodate higher numbers of patients and expediate movement to care spaces, all patient spaces were clearly designated and labeled.ResultsDirect bedding began in September 2015 and our LWBS was 4.4%. One-year post-intervention, our LWBS was <2%. Within four years, it was <0.5%. The LWBS rate for each year, 2016 to 2019, was significantly lower than the control period (p < 0.01) (2015 up to September). Improvement was also seen in door-to-provider time and with patient experience scores.ConclusionOur multifactorial approach was associated with a profound and sustained reduction in LWBS over a short time period.

Real Time Monitoring of Calcium Oxalate Precipitation Reaction by Using Corrosion Resistant Magnetoelastic Resonance Sensors.

The magnetoelastic resonance is used to monitor the precipitation reaction of calcium oxalate () crystals in real-time, by measuring the shift of the resonance frequency caused by the mass increase on the resonator. With respect to previous work on the same matter, the novelty lies in the adoption of an amorphous ferromagnetic alloy, of composition , as resonator, that replaces the commercial Metglas® 2826 alloy (composition ). The enhanced corrosion resistance of this material allows it to be used in biological environments without any pre-treatment of its surface. Additionally, the measurement method, which has been specifically adapted to this application, allows quick registration of the whole resonance curve as a function of the excitation frequency, and thus enhances the resolution and decreases the detection noise. The frequency shift is calibrated by the static deposition of well-known masses of . The resonator dimensions have been selected to improve sensitivity. A 20 mm long, 2 mm wide and 25 m thick magnetoelastic resonator has been used to monitor the precipitation reaction of calcium oxalate in a 500 s time interval. The results of the detected precipitated mass when oxalic acid and calcium chloride are mixed in different concentrations (30 mM, 50 mM and 100 mM) are presented as a function of time. The results show that the sensor is capable of monitoring the precipitation reaction. The mass sensitivity obtained, and the corrosion resistance of the material, suggest that this material can perform excellently in monitoring this type of reaction.

A Front-end Redesign With Implementation of a Novel "Intake" System to Improve Patient Flow in a Pediatric Emergency Department.

Introduction:Children’s Hospital Colorado is an academic, tertiary-care Level 1 Trauma Center with an emergency department (ED) that treats >70,000 patients/year. Patient volumes continue to increase, leading to worsening wait times and left-without-being-seen (LWBS) rates. In 2015, the ED’s median door-to-provider time was 49 minutes [interquartile range (IQR) = 26–90], with a 3.2% LWBS rate. ED leadership, staff, and providers aimed to improve patient flow with specific goals to (1) decrease door-to-provider times to a median of <30 minutes and (2) decrease annual LWBS rate to <1%.Methods:An inter-professional team utilized quality improvement and Lean methodology to study, redesign, and implement significant changes to ED front-end processes. Key process elements included (1) new Flow Nurse/EMT roles, (2) elimination of traditional registration and triage processes, (3) immediate “quick registration” and nurse assessment upon walk-in, (4) direct-bedding of patients, and (5) a novel “Intake” system staffed by a pediatric emergency medicine physician.Results:In the 12 months following full implementation of the new front-end system, the median door-to-provider time decreased 49% to 25 minutes (IQR = 13–50), and the LWBS rate decreased from 3.2% to 1.4% (a 56% relative decrease). Additionally, the percentage of patients seen within 30 minutes of arrival increased, overall ED length-of-stay decreased, patient satisfaction improved, and no worsening of the unexpected 72-hour return rate occurred.Conclusions:Using quality improvement and Lean methodology, an inter-professional team decreased door-to-provider times and LWBS rates in a large pediatric ED by redesigning its front-end processes and implementing a novel pediatric emergency medicine-led Intake system.

A Mobile-based Monitoring System for Micro Small Medium Enterprises (MSMEs) with Offline Data Synchronization

Objectives: The use of technology has become ubiquitous in different areas of businesses and plays a significant role in gathering huge amount of data. In Philippines, for example, a government agency, Department of Trade and Industry (DTI) is entrusted with a project to assist and monitor the status of Micro Small Medium Enterprises (MSMEs), some of which are located in rural or remote places. There are number of approaches that are able to address registration and monitoring of clients or business establishments records through mobile-based application. However, there may be times that poor connectivity or no network connectivity is experienced with LTE or wi-fi network. Hence, one of the major challenges in dealing with mobile computing is on how to provide the clients with the same user experience even when there are some issues on connectivity. In this study, we developed a mobile-based application that may significantly improve the process whereby clients or users have the chance to access data that is stored in a stationary database or some other data repository at any time and any place. Methods: We introduce an innovative approach for efficient tracking and monitoring data leveraging the strength of data synchronization and replication. A mobile-based platform using a centralized database was designed and developed to facilitate quick registration of clients and easy portfolio monitoring of the business establishments. Application: The mobile-based system is an application that runs through android platform necessary for MSMEs’ efficient registration and monitoring purposes whereby users in remote areas are provided with the same user experience despite issues on connectivity (i.e. from “poor” to “no network” connectivity). We deployed the system in the Department of Industry (DTI) provincial office, which covers thousands of MSMEs. Findings: Experiments reveal that our approach provides effective results, which gains high acceptability of the users. Keywords: Agile Approach, Agile Software Development Method, Context Diagram, Micro Small Medium Enterprises (MSME), Mobile-based Application, Monitoring System, Offline Data Synchronization

Hasło LUTER w słownikach Bartłomieja z Bydgoszczy 1532 i 1544

This paper discusses the first 3 mentions of the entry LUTER, as a common word, in the Polish language. They were recorded by Bartlomiej of Bydgoszcz in his dictionaries dated 1532 and 1544. According to the analysis made in the article, these are the examples of extremely quick registration of a new word in the Polish language, and most probably the only confirmations of this lexeme in dictionaries in 16th century and two subsequent centuries. The detailed write-up of the location of the entry LUTER in both dictionaries by Bartlomiej allowed the recollection of the lexicographic method applied by the monk and – in comparison with other religious Polish vocabulary – emphasizing the uniqueness of recording the entry LUTER as a common word, only a dozen years after the Reformation.

A Novel Approach to Addressing an Unintended Consequence of Direct to Room: The Delay of Initial Vital Signs.

IntroductionThe concept of “direct to room” (DTR) and “immediate bedding” has been described in the literature as a mechanism to improve front-end, emergency department (ED) processing. The process allows for an expedited clinician-patient encounter. An unintended consequence of DTR was a time delay in obtaining the initial set of vital signs upon patient arrival.MethodsThis retrospective cohort study was conducted at a single, academic, tertiary-care facility with an annual census of 94,000 patient visits. Inclusion criteria were all patients who entered the ED from 11/1/15 to 5/1/16 and between the hours of 7 am to 11 pm. During the implementation period, a vital signs station was created and a personal care assistant was assigned to the waiting area with the designated job of obtaining vital signs on all patients upon arrival to the ED and prior to leaving the waiting area. Time to first vital sign documented (TTVS) was defined as the time from quick registration to first vital sign documented.ResultsThe pre-implementation period, mean TTVS was 15.3 minutes (N= 37,900). The post-implementation period, mean TTVS was 9.8 minutes (N= 39,392). The implementation yielded a 35% decrease and an absolute reduction in the average TTVS of 5.5 minutes (p<0.0001).ConclusionThis study demonstrated that the coupling of registration and a vital signs station was successful at overcoming delays in obtaining the time to initial vital signs.

利用结构特征的点云快速配准算法

利用结构特征的点云快速配准算法

Enhancing Expert Knowledge Based Cause-Effect Networks Using Continuous Production Data

In micro forming, a precise planning of processes constitutes a challenging task due to inherent uncertainties. The method “Micro - Process Planning and Analysis” uses cause-effect networks to achieve this task. This article presents a method, which enables updating these networks based on new data regularly. It enables the use of discrete and continuous machine data, such as force profiles. Finally, the method is evaluated using simulated data, modelled according to a real process. The results show a quick registration of changes in the process behavior and a high prediction accuracy in terms of the expected mean and variance.

A Reliable Handoff Mechanism for Mobile Industrial Wireless Sensor Networks.

With the prevalence of low-power wireless devices in industrial applications, concerns about timeliness and reliability are bound to continue despite the best efforts of researchers to design Industrial Wireless Sensor Networks (IWSNs) to improve the performance of monitoring and control systems. As mobile devices have a major role to play in industrial production, IWSNs should support mobility. However, research on mobile IWSNs and practical tests have been limited due to the complicated resource scheduling and rescheduling compared with traditional wireless sensor networks. This paper proposes an effective mechanism to guarantee the performance of handoff, including a mobility-aware scheme, temporary connection and quick registration. The main contribution of this paper is that the proposed mechanism is implemented not only in our testbed but in a real industrial environment. The results indicate that our mechanism not only improves the accuracy of handoff triggering, but also solves the problem of ping-pong effect during handoff. Compared with the WirelessHART standard and the RSSI-based approach, our mechanism facilitates real-time communication while being more reliable, which can help end-to-end packet delivery remain an average of 98.5% in the scenario of mobile IWSNs.

Efficacy of a novel iPod-based navigation system compared to traditional navigation system in total knee arthroplasty

Background: This prospective study aimed to verify the efficacy of a novel, hand-held, iPod-based navigation system in comparison to traditional navigation system for total knee arthroplasty (TKA).Methods: Limb alignment, tibial and distal femoral bone cut thickness and plane were recorded intraoperatively using both iPod-based and traditional navigation system in 36 knees undergoing primary TKAs.Results: Intraoperatively, the iPod-based navigation system showed good to excellent correlation and reliability for tibial and distal femoral bone cut thickness, plane of the femoral cut and limb alignment when compared to the traditional navigation system.Conclusions: Despite its quick registration feature, the iPod-based system has an efficacy similar to traditional navigation system and is a positive step towards making navigation systems for TKA more compact, user-friendly, time and cost-effective.

Medical Team Evaluation: Effect on Emergency Department Waiting Time and Length of Stay.

Emergency Departments (ED) are trying to alleviate crowding using various interventions. We assessed the effect of an alternative model of care, the Medical Team Evaluation (MTE) concept, encompassing team triage, quick registration, redesign of triage rooms and electronic medical records (EMR) on door-to-doctor (waiting) time and ED length of stay (LOS). We conducted an observational, before-and-after study at an urban academic tertiary care centre. On July 17th 2014, MTE was initiated from 9:00 a.m. to 10 p.m., 7 days a week. A registered triage nurse was teamed with an additional senior ED physician. Data of the 5-month pre-MTE and the 5-month MTE period were analysed. A matched comparison of waiting times and ED LOS of discharged and admitted patients pertaining to various Emergency Severity Index (ESI) triage categories was performed based on propensity scores. With MTE, the median waiting times improved from 41.2 (24.8–66.6) to 10.2 (5.7–18.1) minutes (min; P < 0.01). Though being beneficial for all strata, the improvement was somewhat greater for discharged, than for admitted patients. With a reduction from 54.3 (34.2–84.7) to 10.5 (5.9–18.4) min (P < 0.01), in terms of waiting times, MTE was most advantageous for ESI4 patients. The overall median ED LOS increased for about 15 min (P < 0.01), increasing from 3.4 (2.1–5.3) to 3.7 (2.3–5.6) hours. A significant increase was observed for all the strata, except for ESI5 patients. Their median ED LOS dropped by 73% from 1.2 (0.8–1.8) to 0.3 (0.2–0.5) hours (P < 0.01). In the same period the total orders for diagnostic radiology increased by 1,178 (11%) from 10,924 to 12,102 orders, with more imaging tests being ordered for ESI 2, 3 and 4 patients. Despite improved waiting times a decrease of ED LOS was only seen in ESI level 5 patients, whereas in all the other strata ED LOS increased. We speculate that this was brought about by the tendency of triage physicians to order more diagnostic radiology, anticipating that it may be better for the downstream physician to have more information rather than less.

基于最大值投影和快速配准的空间小目标检测

基于最大值投影和快速配准的空间小目标检测

基于最大值投影和快速配准的空间小目标检测

基于最大值投影和快速配准的空间小目标检测

Scene structure registration for localization and mapping

Image registration, and more generally scene registration, needs to be solved in mobile robotics for a number of tasks including localization, mapping, object recognition, visual odometry and loop-closure. This paper presents a flexible strategy to register scenes based on its planar structure, which can be used with different sensors that acquire 3D data like LIDAR, time-of-flight cameras, RGB-D sensors and stereo vision. The proposed strategy is based on the segmentation of the planar surfaces from the scene, and its representation using a graph which stores the geometric relationships between neighbouring planar patches. Uncertainty information from the planar patches is exploited in a hierarchical fashion to improve both the robustness and the efficiency of registration. Quick registration is achieved in indoor structured scenarios, offering advantages like a compact representation, and flexibility to adapt to different environments and sensors. Our method is validated with different sensors: a hand-held RGB-D camera and an omnidirectional RGB-D sensor; and for different applications: from visual-range odometry to loop closure and SLAM.

Quick Registration Method Based on Image Region Correlation

Binocular vision system can be widely used in CNC machine tools chatter monitoring, due to its simple system and automatic measurement function. Traditional registration method cannot balance the contradiction between precision and speed of registration; restrict its application in high speed monitoring system. So based on traditional feature point registration method, it proposes a new method to obtain more accurate matching feature points by using complexity distribution feature of image region to determine the distribution of feature region and the bidirectional similarity and triangle similar method, which realize quick registration. From the simulation and implementation effect perspective, this method is feasible for the image registration in high-speed monitoring system.

The Quick Method for Image Registration Combined with Information Entropy and Cross-Correlation Matrix

The current image registration technique based on gray-level information has shortcomings on time and amount of computation brought by the whole image registration, this paper proposes a quick registration method, which makes a combination of image information entropy and cross-correlation matrix: First, segmenting the target image into blocks and calculating to get the maximum entropy image block, then using it as a template to calculate the cross-correlation matrix with floating image; Second, making the point where the maximum cross-correlation value ​​is as the upper left corner, grasping a same-size block with template on floating image; Finally, obtaining registration parameters through calculation for these two blocks to achieve the purpose of registration. Experimental results show that this method has less computational complexity with the similar registration results, and takes less time. It’s effective and feasible.