Target Board Research Articles

Pengaruh Latihan Menggunakan Papan Target Modifikasi Terhadap Ketepatan Smash Bola Voli Pada Ekstrakurikuler Smk Negeri 1 Simpang Katis

The motivation for this study stems from the insufficient precision seen in smash volleyball games during the extracurricular activities at SMK Negeri 1 Simpang Katis, as well as the limited originality in utilising auxiliary media to enhance students' accuracy in smashing. During research, auxiliary media use a customised target board as a tool for conducting exercises. The objective of this research was to investigate the impact of training using a modified target board on the precision of volleyball smashes during extracurricular activities at SMK Negeri 1 Simpang Katis. This study is quantitative and employs the "pre-experimental design" research approach, specifically a one-group pre-test-post-test design. This research included the whole cohort of extracurricular participants at SMK Negeri 1 Simpang Katis, with a total of 20 individuals. The sample in this research included the whole population. This study employs the data analysis approach of normality testing and hypothesis testing. The resulting t-values from the hypothesis testing were 3.938 and 2.093, leading to the rejection of the null hypothesis (Ho) and acceptance of the alternative hypothesis (Ha). Therefore, it can be inferred that the use of a modified target board during training has a direct impact on the precision of volleyball smashes at SMK Negeri 1 Simpang Katis Extracurricular.

Interactive Path Editing and Simulation System for Motion Planning and Control of a Collaborative Robot

Robots in hazardous environments demand precise and advanced motion control, making extensive simulations crucial for verifying the safety of motion planning. This paper presents a simulation system that enables interactive path editing, allowing for motion planning in a simulated collaborative robot environment and its real-world application. The system includes a simulation host, a control board, and a robot. Unity 3D on a Windows platform provides the simulation environment, while a virtual Linux environment runs ROS2 for execution. Unity sends edited motion paths to ROS2 using the Unity ROS TCP Connector package. The ROS2 MoveIt framework generates trajectories, which are synchronized back to Unity for simulation and real-world validation. To control the six-axis Indy7 collaborative robot, we used the MIO5272 embedded board as an EtherCAT master. Verified trajectories are sent to the target board, synchronizing the robot with the simulation in position and speed. Data are relayed from the host to the MIO5272 using ROS2 and the Data Distribution Service (DDS) to control the robot via EtherCAT communication. The system enables direct simulation and control of various trajectories for robots in hazardous environments. It represents a major advancement by providing safe and optimized trajectories through efficient motion planning and repeated simulations, offering a clear improvement over traditional time-consuming and error-prone teach pendant methods.

Illumination matters part I: comparative analysis of light sources and illumination in flexible ureteroscopy-fundamental findings from a PEARLS analysis

PurposeIllumination characteristics of flexible ureteroscopes have been evaluated in air, but not in saline, the native operative medium for endourology. The aim was to evaluate light properties of contemporary ureteroscopes in air versus saline, light distribution analysis, and color temperature.MethodsWe evaluated the Storz Flex-Xc and Flex-X2s, Olympus V3 and P7, Pusen 7.5F and 9.2F, and OTU WiScope using a 3D printed black target board in-vitro model submerged in saline. A spectrometer was used for lux and color temperature measurements at different opening locations.ResultsIlluminance was higher in saline compared to air (5679 vs. 5205 lx with Flex-Xc, p = 0.02). Illuminance in saline differed between ureteroscopes (ANOVA p < 0.001), with highest for the Flex-Xc at 100% brightness setting (5679 lx), followed by Pusen 9.2F (5280 lx), Flex-X2s (4613 lx), P7 (4371 lx), V3 (2374 lx), WiScope (582 lx) and finally Pusen 7.5F (255 lx). The same ranking was found at 50% brightness setting, with the highest ureteroscope illuminance value 34 times that of the scope with lowest illuminance.Most scopes had maximum illuminance off center, with skewness. Three scopes had two light sources, with one light source for all other scopes. Inter-scope comparisons revealed significant differences of color temperature (ANOVA p < 0.001).ConclusionThe study demonstrates the presence of inhomogeneous light spread as well as large differences in illumination properties of ureteroscopes, possibly impacting on the performance of individual scopes in vivo. Additionally, the study suggests that future studies on illumination characteristics of flexible ureteroscopes should ideally be done in saline, and no longer in air.

Machine Learning-based Approaches in Error Detection and Score Prediction for Small Arm Firing Systems in the Military Domain

Error pattern recognition is a routine job in the military to provide corrective guidelines to the shooter. Errors can be recognized with a visual approach based on the spreading pattern of bullets on the target board, which are categorized into four categories: long horizontal error, long vertical error, bi-focal error, and scattered error. Currently, this process is performed manually and requires active human involvement. Similarly, an automated system to predict the future performance of a shooter is not available in the military domain. Moreover, the performance of a shooter depends on several factors, including age, weather, ammunition type, availability of light, previous scores, shooting range, classification of firing, and other factors. The military domain has not addressed the automatic prediction of such performance. While error correction and performance analysis have been extensively explored in the field of sports, their application within the military domain remains an untapped area of research and investigation. Numerous recent endeavors have suggested the utilization of deep learning to tackle this challenge. However, the absence of real-time data poses a significant obstacle, rendering these solutions seemingly impractical. In this paper, we have applied machine- learning approaches and adopted the best algorithm to automate the error pattern recognition system within a military domain. Our proposed methodology has two modules. The first module uses various algorithms and finds a random forest classifier that can do better to recognize the pattern of error and in the second phase, we used the AdaBoost classifier to predict the score and performance of a firer. Several experiments have been conducted, and the results show an average accuracy of 0.968 using Random Forest to recognize the pattern of error and an accuracy of 0.69 using AdaBoost to predict score performance. The data has been collected from the real-time environment of the military domain and experiments have been carried out using real-time scenarios with the military in mind.

Do Employee Interests Affect Target Board Decisions About Acquisition Offers? Evidence from Changes in Unemployment Insurance

We explore whether employee interests affect the evaluation of acquisition offers by target boards of directors. Exploiting changes in state unemployment insurance (UI) as sources of exogenous variation in worker unemployment costs, we find that lower unemployment costs increase acquisition activity. The adoption of state constituency statutes strengthens this relation. Boards of target firms having high labor intensity, low short-term institutional ownership, headquartered in low population or high social capital counties, and with female independent directors, more often strongly weight employee interests. Higher UI levels are also associated with larger postacquisition layoffs. Our evidence supports theories rationalizing target boards’ consideration of employee interests. This paper was accepted by Victoria Ivashina, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01379 .

Variation Of Bamboo and Adhesive Types on Physical And Mechanical Properties Of Particle Board

Bamboo can be used as a material in the manufacture of particleboard. The purpose of this study was to examine the effect of various types of bamboo and their adhesion on the physical and mechanical properties of particleboard. The study used a factorial completely randomized design with three repetitions. Particleboard made using cold pressing made of bamboo betung (Dendrocalamus asper Schult.), bamboo apus (Gigantochloa apus Kurz), bamboo ori (Bambusa arundinacea Retz), and Urea Formaldehyde and Polyvinyl Acetate adhesives. The particle size used was through eight meshes with an adhesive concentration of 20% and a target board density of 1 gram/cm³. Board testing using SNI 03-2105-2006, correlation analysis, and regression to see the relationship between variables. The resulting particleboard has a density between 0.5 – 0.69 gram/cm³, air content between 12.7% - 15.2%, thickness expansion between 2.2% - 17.55%, MOE 1.963 - 4.898 kg/ cm², MOR 4.89 – 9.36 kg/cm². The type of bamboo has no significant effect on density, moisture content, MOE, and MOR of particleboard. The type of adhesive has a significant effect on the density, MOE, and MOR of the particleboard. The interaction between the type of bamboo and the type of adhesive has a significant effect on the thickness development of the particleboard.

Closed loop operation and testing with processor-in-loop (PIL) simulation of an asymmetrical six-phase open-ended winding synchronous machine

This paper presents a simple closed loop indirect field-oriented controlled operation for an asymmetrical six-phase open-ended winding synchronous motor in a newly defined two-axis (M-T) coordinate system, in which the common mutual leakage coupling between the two stator winding sets has been considered. Phasor diagram of the vector-controlled motor is developed under steady-state. Performance of a six-phase synchronous machine is presented in all four quadrant operations. A complete mathematical model is developed and controlled in a closed loop on Matlab/Simulink environment. Suitability and practical validity of the proposed control scheme are shown by conducting a test using processor-in-loop (PIL) by employing the STM32F407G board. An efficient data transfer at a high baud rate was obtained between the target board and host through an externally connected serial communication interface by using a USB-USART converter i.e. FT32RL board.

When Do Boards of Directors Contribute to Shareholder Value in Firms Targeted for Acquisition? A Group Information-Processing Perspective

We draw on group information-processing theory to investigate how target boards of directors may contribute to target value capture during the private negotiations phase in acquisitions. We view target boards as information-processing groups and private negotiations as information-processing tasks. We argue that target board meeting frequency is associated with increased processing—gathering, sharing, and analyzing—of acquisition-related information, which improves target bargaining and, ultimately, target value capture. We further posit that this value-enhancing effect of target board meeting frequency is more pronounced when target board composition improves the ability of target boards to process acquisition-related information. Finally, we expect that meeting frequency is more consequential for target bargaining and value capture when acquisition complexity imposes high information-processing demands on the target boards during private negotiations. Empirical evidence from a sample of acquisitions of publicly listed firms in the United States offers support for our group information-processing perspective on board contribution to shareholder value in firms targeted for acquisition. Funding: This work was supported by the Strategy Research Foundation [Dissertation Grant SRF-2015DP-0016]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.1643 .

Pincering SKINNY by Exploiting Slow Diffusion

Lightweight cryptography is an emerging field where designers are testing the limits of symmetric cryptography. We investigate the resistance against sidechannel attacks of a new class of lighter blockciphers, which use a classic substitution–permutation network with slow diffusion and many rounds.Among these ciphers, we focus on SKINNY, a primitive used up to the final round ofNIST’s recent lightweight standardisation effort. We show that the lack of diffusion in the key scheduler allows an attacker to combine leakage from the first and the last rounds, effectively pincering its target. Furthermore, the slow diffusion used by its partial key-absorption and linear layers enable, on both sides, to target S-Boxes from several rounds deep.As some of these S-boxes leak on the same part of the key, full key recovery exploiting all leakage requires a clever combining strategy. We introduce the use of cluster graph inference (an established tool from probabilistic graphical model theory) to enhance both unprofiled or profiled differential power analysis, enabling us to handlethe increase of S-Boxes with their intertwined leakage.We evaluate the strength of our attack both in the Hamming weight model and against two implementations running on an STM32F303 ARM Cortex-M4 hosted on a ChipWhisperer target board, showing that our attack reduces the number of traces required to attack SKINNY by a factor of around 2.75.

Influence of Dry Fire Practice on Rifle Shooting Performance of School Going Students

Abstract: Purpose-The purpose of the study is to find out the Influence of dry fire practice on rifle shooting performance of school-going students. This study is helpful for various rifle and pistol shooting events. Methodology: For the present study the sample consisted of thirty (30) school-going boys students who were randomly selected from Dr.Nandurkar Vidyalaya, Yavatmal, Maharashtra. Whose ages ranged between 14 to 16 years. The rifle shooting performance was evaluated through .22 long rifle shooting target board by researchers on the scoring system. For the analysis of data statistical mean, S.D. and ‘T’-test was used. The level of significance was set at 0.05 levels. Result -The outcome shows that Dry fire practice improving the rifle shotting performance. After six week dry fire practice of experimental group mean score 12 ± 3.84 and control group mean score 7.47± 2.45 Conclusion- With the help of the study, it is concluded that there are significant differences was found in dry fire practice on rifle shooting performance of the experimental and control groups.

Stratified camera calibration algorithm based on the calibrating conic.

In computer vision, camera calibration is essential for photogrammetric measurement. We propose a new stratified camera calibration method based on geometric constraints. This paper proposes several new theorems in 2D projective transformation: (1) There exists a family of lines whose parallelity remains invariable in a 2D projective transformation. These lines are parallel with the image of the infinity line. (2) There is only one line whose verticality is invariable with the family of parallel lines in a 2D projective transformation, and the principal point lies on this line. With the image of the infinite line and the dual conic of the circular points, the closed-form solution of the line passing through principal point is deduced. The angle among the target board and image plane, which influences camera calibration, is computed. We propose a new geometric interpretation of the target board's pose and solution method. To obtain appropriate poses of the target board for camera calibration, we propose a visual pose guide (VPG) of the target board system that can guide a user to move the target board to obtain appropriate images for calibration. The expected homography is defined, and its solution method is deduced. Experimental results with synthetic and real data verify correctness and validity of the proposed method.

TASUM-R MODEL: BASIC TECHNIQUES OF RECURVE ARCHERY SPORTS

Archery requires a high concentration of learning and practicing the right techniques. The technique in archery sports requires the same repetition each time to get the same result. The analysis of the results of the MSSPK Recurve Archery Championship 2022 Circuit 2 recorded that only 30% of participants scored more than half for each end i.e. 180 out of 360 scores. This data shows that most participants are unable to consistently release arrows and are accurate on the target board. Consistency and accuracy are important factors in archery. Both of these factors can be enhanced through effective techniques as well as high concentration. Therefore, the TASUM-R model will be developed as a guideline for coaches and archer athletes to enhance the effectiveness of both factors, thus enabling participants to score more than 180, and even achieve 300 points for 6 ends in 3 months of training alone compared to 6 months or more previously. This study used the DDR design to produce the TASUM-R model, which is the Basic Technique of Recurve Archery Sports. This innovation collaborates with an industry partner, Team Freedah Archerz for the purpose of exposure to archery sports enthusiasts from childhood to adulthood as well as the corporatization of a complete module based on the TASUM-R Model.

DEVISING ARCHITECTURE FOR REMOTE EDUCATION ORGANIZATION BASED ON A SINGLE-BOARD COMPUTER

The presented paper sets the goal of providing computer engineering courses based on a single-board computers (SBC) with the organization of the remote education process. The devised approach relies on the connection to the local area network (wired or wireless) of the university, making the board accessible to the internal users, and creation of a network tunnel between the remote user and connected parts. These actions are accompanied by assignments of necessary permissions to the users of the system. First, the requirements of each involved actor were considered and as a result of that further understanding of the network communication process, network management and administration, software requirements, etc. was acquired. According to these results, analysis of the capabilities of SBC in terms of its connectivity was performed and, finally, the architecture was realized on the available hardware with regard to the peculiarities of the specific subject. The article establishes all the necessary details on the implementation of the proposed architecture and discusses results of the testing performed as a part of the specific course. During the testing stage, the deployed system based on FriendlyARM Nano Pi allowed us to organize the course on Real-Time Embedded Computer Systems and successfully finish all related activities under circumstances of remote education. It was demonstrated that the proposed organization is reliable as demonstrates conceivable performance even under condition of multiple simultaneous connections to the target board. From the administrative point of view, the solution is highly configurable which is a huge advantage for the lecturer and for the administrator. The devised architecture has a potential in terms of improvement and scalability because it consumes relatively low network capacity and is easy to deploy under any circumstances.

OCT-guided Robotic Subretinal Needle Injections: A Deep Learning-Based Registration Approach.

Subretinal injection (SI) is an ophthalmic surgical procedure that allows for the direct injection of therapeutic substances into the subretinal space to treat vitreoretinal disorders. Although this treatment has grown in popularity, various factors contribute to its difficulty. These include the retina's fragile, nonregenerative tissue, as well as hand tremor and poor visual depth perception. In this context, the usage of robotic devices may reduce hand tremors and facilitate gradual and controlled SI. For the robot to successfully move to the target area, it needs to understand the spatial relationship between the attached needle and the tissue. The development of optical coherence tomography (OCT) imaging has resulted in a substantial advancement in visualizing retinal structures at micron resolution. This paper introduces a novel foundation for an OCT-guided robotic steering framework that enables a surgeon to plan and select targets within the OCT volume. At the same time, the robot automatically executes the trajectories necessary to achieve the selected targets. Our contribution consists of a novel combination of existing methods, creating an intraoperative OCT-Robot registration pipeline. We combined straightforward affine transformation computations with robot kinematics and a deep neural network-determined tool-tip location in OCT. We evaluate our framework's capability in a cadaveric pig eye open-sky procedure and using an aluminum target board. Targeting the subretinal space of the pig eye produced encouraging results with a mean Euclidean error of 23.8μm.

Reviewing the Theories of Nationalism: Historicizing, Classifying and Inquiring the Conceptualization

As neoliberalism ended class-based politics, which was a strategic priority for capital, the relations with the economic system no longer determined the political preferences. Instead, identities have become one of the main axes of political competition in identity politics. Relatedly, nationalism has come to the fore, especially after the 1990s. One of the factors affecting this was globalization, which puts nation-state sovereignty on the target board to remove all obstacles in front of financial capital. As a reaction, initiatives to strengthen state sovereignty have searched the ground for implementation, reminding the economic nationalism discourse of the 1960s and 1970s. Secondly, while the newly independent nation-states that emerged with the collapse of the Soviet Union and Yugoslavia consolidated their authority, the ethnic conflicts they encountered inflamed nationalism. Third, the rise of international migration has "otherized" some groups, especially Muslims, for Western political orders -contrary to the appeal of cultural pluralism- and increased nationalist reflexes. In this context, it has become vital to examine how the concept of nationalism has been approached theoretically. In this review article, the debate on nationalism dwelled on the framework of the developments that led to the emergence of nations and nationalisms. This framework also included the definitions of nation and nationalism.

Gaze Behaviors of Neurosurgeon in Performing Gross Movements under Microscope

Frequent intermittent bleeding control and suction are often necessary during microneurosurgical procedures. We compared the visual searching strategy that guides these types of gross hand movements between expert surgeons and neurosurgical residents. A total of 70 trials of a microsurgical task consisting of moving a cotton ball with bipolar forceps and a suction instrument under the microscope were recorded. Based on surgical videos, we extracted total task time, boarding time, gaze-tool time gap, number of fixations during the boarding time, and target-locked fixation duration. A comparison of these measures between experts and resident surgeons were performed. No significant difference was found for total task time, boarding time, and number of fixations during the boarding time between the 2 groups of surgeons. However, we found significant differences in the measure of gaze-tool time gap (P < 0.001, partial η2= 0.54) and the target-locked fixation (P < 0.001, partial η2= 0.24). Specifically, expert microsurgeons' eyes move to the target board earlier before their tools in hands move (1.01 ± 0.30 seconds) compared with resident microsurgeons (0.44 ± 0.17 seconds). The target-locked fixation duration was also longer among experts comparing to residents (experts: 1.16 ± 0.82 seconds, residents: 0.40 ± 0.30 seconds). Task time analysis for this basic microsurgical task is not sufficient to evaluate participants' level of expertise. Gaze behavior analysis helps to reveal hidden differences between experts and residents. This research provides more evidence that supports the use of gaze analysis for assessing surgeons' skills in microsurgery.

Exploration of double-dart injection technique as a supplemental application for remote drug delivery system for zoo and wild animals.

Background and Aim:Remote drug delivery has become an essential tool for safely delivering medication and vaccines to free-ranging, non-domestic, or dangerous animals. All dart guns currently use a single dart per injection, and it might occasionally be not practical with large animals. Shooting the dart more than once on an animal may cause flight, injury, stress, and ultimately unsuccessful delivery. Furthermore, purchasing many dart guns and hiring and training more staff may be unfeasible in developing countries. Therefore, employing the double-dart injection technique may help reduce the cost of operation, save time for capturing animals, minimize stress and injury, and improve animal welfare. The objectives of this study were to test the possibility of using the double-dart injection technique and optimizing the guidelines for this procedure.Materials and Methods:A standard brand-calibrated darting rifle was used to deliver the darts to the target board constructed from paper, polypropylene, and ethylene-vinyl acetate foam. The shot stage and shooter were fixed, and the shooting range was 5-20 m. The pressure of the gun was varied according to a company’s recommendation. The single dart (control dart) was first shot to the target point, and then the double darts were shot 3 times for each condition. The experiment was done in the field with no wind. The inclusion criteria were that two darts must hit the target and not penetrate the target board deeply. The distances between the control dart and double darts (first and second darts) and between each dart of the double darts were measured, and the standard curve graphs and formulas were created.Results:The results showed that the distance between the control dart and the double darts was shortened as the pressure was increased. All double-dart injections hit the target below the control dart. We were able to create many formulas to predict the optimal gun pressure and aim point for double-dart injection in each shot range. It usually requires more pressure settings than a single-dart injection, particularly the long shot range. It also needs to aim the target point above the original point.Conclusion:Double-dart injection technique can be used efficiently in 5-20 m distance, and it usually requires increasing the pressure from the company’s recommendation and adjusting the injecting point.

DSP Processer-in-the-Loop Tests Based on Automatic Code Generation

The digital signal processing (DSP) processor-in-the-loop tests based on automatic code generation technology are studied. Firstly, the idea of model-based design is introduced, and the principle and method of embedded code automatic generation technology are analyzed by taking the automatic code generation of the DSP control algorithm for pulse width modulation (PWM) output as an example. Then, the control system model is established on MATLAB/Simulink. After verifying the model through simulation, the target board platform is established with DSP as the core processor, and the automatically generated code is tested by the processor-in-the-loop (PIL). The results show that the technology greatly shortens the development cycle of the project, improves the robustness and consistency of the control code, and can be widely used in the complex algorithm development process of the controller, from intelligent design and modeling to implementation.

FORMATION AND MANAGEMENT OF REGIONAL AGRI-FOOD CLUSTERS IN DEVELOPING COUNTRIES: CASE OF “AGROTRANSILVANIA” (ROMANIA)

Business clusters are considered to be more applicable in countries classified as developed. However, in modern times developing countries take risks of establishing business clusters and get the expected economic and social rewards. The work observes peculiarities of regional agri-food cluster formation and management in developing countries in the frames of the Romanian “AgroTransilvania” cluster. Based on the empirical analysis and the “CIPM” (“Cluster Initiative Performance Model”) technique, author conducts an expert assessment and finds out how the cluster’s members combine cooperation and competition in order to achieve outstanding results. The research paper encompasses practice-oriented models, including a diamond model for the Romanian agri-food market, a target board of the observed cluster, as well as a map of its members.

A novel LiDAR sensor alignment inspection system for automobile productions using 1-D photodetector arrays

This paper proposes a novel system to inspect the LiDAR sensor misalignment on a vehicle during the sensor assembly process in the autonomous vehicle productions. The inspection system is primarily designed for deployment in the factory-level assembly process for commercial vehicles with ADAS and autonomous driving functions. To obtain sub-degree and millimeter accuracy levels of the LiDAR sensor alignment or the extrinsic pose from the vehicle body, this study proposed a new concept of LiDAR sensor extrinsic calibration method using a target board with embedded photodetector(PD) arrays, named the PD–target system. Furthermore, the proposed system requires only the simple design of the target board at the fixed pose in a close range to be readily applicable in the automobile manufacturing environment. From the estimation of the extrinsic pose of the LiDAR sensor from the target board, the LiDAR sensor alignment with respect to the vehicle body can be easily derived in the controlled factory environment, where positions of both the target board and the vehicle are assumed to be known. The experimental evaluation of the proposed system on low-resolution LiDAR sensor showed that the LiDAR sensor offset pose can be estimated within 0.1 degree and 3 mm levels of precision. The high accuracy and simplicity of the proposed calibration system make it practical for production of reliable and safe autonomous transportation.