Relevant bibliographies by topics / Gun control – Data processing

Academic literature on the topic 'Gun control – Data processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Gun control – Data processing"

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Xu, Zhen Hui, Li Xu, Shi Hai Zhou, and Zhen Jun Yang. "Research on Technical Conditions Testing Line of Certain Tank Gun Weapon System." Applied Mechanics and Materials 602-605 (August 2014): 1630–33. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1630.

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In certain tank gun technical conditions integrated testing line, we firstly realize on line test of tank gun under non disassembly situation by using data acquisition card ----4472B produced in American NI Company. It realizes multiple data concurrent acquisition and processing and ensures the integral correlation of each testing data. The system adopts PXI main control platform and actualizes the technical conditions integrated test system of breechblock and recoil system based on Virtual Instrument technology. Through practical use, the result proves that the system has prominent character of integrated testing, online testing, visual data and convenient operation.
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Ren, Zhong Wei, Zhen Yun Duan, Wen Hui Zhao, Guo Fu Tian, and Yuan Tao Wang. "Research on On-line Detection and Data Processing Technology of Welding Seam for Bellow." Applied Mechanics and Materials 66-68 (July 2011): 1714–17. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1714.

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In order to improve the welding quality and welding speed of irregular bellows, according to the characteristic of welding seam of bellows, an automatic and on-line detection technology is proposed in welding technique. The infrared laser sensor is used for measuring with non-contact and real-time detection of welded joint center, the position of welding seam is transfered by the IEEE-1394(Fire Wire). After data preprocessing, the coordinates of feature point are extracted, be storaged and forecasted, then sent to the control system, the moving of welding gun is controlled along track scanning. According to the accuracy analysis of on-line detection system of bellows, the technology of tracking measurement is stable and reliable, and it is effective for improving measuring accuracy and efficiency.
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Kimmel, James, and Michael Rowe. "A Behavioral Addiction Model of Revenge, Violence, and Gun Abuse." Journal of Law, Medicine & Ethics 48, S4 (2020): 172–78. http://dx.doi.org/10.1177/1073110520979419.

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Data from multiple sources point to the desire for revenge in response to grievances or perceived injustices as a root cause of violence, including firearm violence. Neuroscience and behavioral studies are beginning to reveal that the desire for revenge in response to grievances activates the same neural reward-processing circuitry as that of substance addiction, suggesting that grievances trigger powerful cravings for revenge in anticipation of experiencing pleasure. Based on this evidence, the authors argue that a behavioral addiction framework may be appropriate for understanding and addressing violent behavior. Such an approach could yield significant benefits by leveraging scientific and public health-oriented drug abuse prevention and treatment strategies that target drug cravings to spur development of scientific and public-health-oriented “gun abuse” prevention and treatment strategies targeting the revenge cravings that lead to violence. An example of one such “motive control” strategy is discussed. Approaching revenge-seeking, violence, and gun abuse from the perspective of compulsion and addiction would have the added benefit of avoiding the stigmatization as violent of individuals with mental illness while also acknowledging the systemic, social, and cultural factors contributing to grievances that lead to violent acts.
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Lai, Xuhui, and Zhengying Wei. "Slicing Algorithm and Partition Scanning Strategy for 3D Printing Based on GPU Parallel Computing." Materials 14, no. 15 (July 31, 2021): 4297. http://dx.doi.org/10.3390/ma14154297.

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Aiming at the problems of over stacking, warping deformation and rapid adjustment of layer thickness in electron beam additive manufacturing, the 3D printing slicing algorithm and partition scanning strategy for numerical control systems are studied. The GPU (graphics processing unit) is used to slice the 3D model, and the STL (stereolithography) file is calculated in parallel according to the normal vector and the vertex coordinates. The voxel information of the specified layer is dynamically obtained by adjusting the projection matrix to the slice height. The MS (marching squares) algorithm is used to extract the coordinate sequence of the binary image, and the ordered contour coordinates are output. In order to avoid shaking of the electron gun when the numerical control system is forming the microsegment straight line, and reduce metal overcrowding in the continuous curve C0, the NURBS (non-uniform rational b-splines) basis function is used to perform curve interpolation on the contour data. Aiming at the deformation problem of large block components in the forming process, a hexagonal partition and parallel line variable angle scanning technology is adopted, and an effective temperature and deformation control strategy is formed according to the European-distance planning scan order of each partition. The results show that the NURBS segmentation fits closer to the original polysurface cut line, and the error is reduced by 34.2% compared with the STL file slice data. As the number of triangular patches increases, the algorithm exhibits higher efficiency, STL files with 1,483,132 facets can be cut into 4488 layers in 89 s. The slicing algorithm involved in this research can be used as a general data processing algorithm for additive manufacturing technology to reduce the waiting time of the contour extraction process. Combined with the partition strategy, it can provide new ideas for the dynamic adjustment of layer thickness and deformation control in the forming process of large parts.
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Piacentino, Esteban, Alvaro Guarner, and Cecilio Angulo. "Generating Synthetic ECGs Using GANs for Anonymizing Healthcare Data." Electronics 10, no. 4 (February 5, 2021): 389. http://dx.doi.org/10.3390/electronics10040389.

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In personalized healthcare, an ecosystem for the manipulation of reliable and safe private data should be orchestrated. This paper describes an approach for the generation of synthetic electrocardiograms (ECGs) based on Generative Adversarial Networks (GANs) with the objective of anonymizing users’ information for privacy issues. This is intended to create valuable data that can be used both in educational and research areas, while avoiding the risk of a sensitive data leakage. As GANs are mainly exploited on images and video frames, we are proposing general raw data processing after transformation into an image, so it can be managed through a GAN, then decoded back to the original data domain. The feasibility of our transformation and processing hypothesis is primarily demonstrated. Next, from the proposed procedure, main drawbacks for each step in the procedure are addressed for the particular case of ECGs. Hence, a novel research pathway on health data anonymization using GANs is opened and further straightforward developments are expected.
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Potdar, Swapnil, Aleksandr Ianevski, John-Patrick Mpindi, Dmitrii Bychkov, Clément Fiere, Philipp Ianevski, Bhagwan Yadav, et al. "Breeze: an integrated quality control and data analysis application for high-throughput drug screening." Bioinformatics 36, no. 11 (March 2, 2020): 3602–4. http://dx.doi.org/10.1093/bioinformatics/btaa138.

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Abstract Summary High-throughput screening (HTS) enables systematic testing of thousands of chemical compounds for potential use as investigational and therapeutic agents. HTS experiments are often conducted in multi-well plates that inherently bear technical and experimental sources of error. Thus, HTS data processing requires the use of robust quality control procedures before analysis and interpretation. Here, we have implemented an open-source analysis application, Breeze, an integrated quality control and data analysis application for HTS data. Furthermore, Breeze enables a reliable way to identify individual drug sensitivity and resistance patterns in cell lines or patient-derived samples for functional precision medicine applications. The Breeze application provides a complete solution for data quality assessment, dose–response curve fitting and quantification of the drug responses along with interactive visualization of the results. Availability and implementation The Breeze application with video tutorial and technical documentation is accessible at https://breeze.fimm.fi; the R source code is publicly available at https://github.com/potdarswapnil/Breeze under GNU General Public License v3.0. Contact swapnil.potdar@helsinki.fi Supplementary information Supplementary data are available at Bioinformatics online.
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Wang, Jinglu, Ying Zhang, Jianjun Du, Xiaodi Pan, Liming Ma, Meng Shao, and Xinyu Guo. "Combined analysis of genome-wide expression profiling of maize (Zea mays L.) leaves infected with Ustilago maydis." Genome 61, no. 7 (July 2018): 505–13. http://dx.doi.org/10.1139/gen-2017-0226.

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Although many gene expression profiling studies of maize leaves infected with Ustilago maydis have been published, heterogeneity of the results, caused by various data processing methods and pathogenic strains in different data sets, remains strong. Hence, we conducted a combined analysis of six genome-wide expression data sets of maize leaves infected with five different U. maydis strains by using the same pre-processing and quality control procedures. Six data sets were regrouped into five groups according to pathogenic strain used. Subsequently, each group of data set was processed by Multi-array Average for pre-processing and by pair-wise Pearson correlation for quality control. The differentially expressed genes were calculated by a standard linear mixed-effect model and then validated by various sensitivity analysis and multiple evidences. Finally, 44 unique differentially expressed genes were identified. Pathway enrichment analysis indicated that these genes related to response to fungus, oxidation-reduction, transferase activity, and several carbohydrate metabolic and catabolic processes. In addition, the hub genes within protein–protein interaction networks showed high relevance with the basic pathogenesis. We report a highly credible differentially expressed list, and the genes with multiple validations may denote a common signature of U. maydis in maize, which provides a new window for disease-resistant protection of maize plants.
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Poudevigne-Durance, Thomas, Owen Dafydd Jones, and Yipeng Qin. "MaWGAN: A Generative Adversarial Network to Create Synthetic Data from Datasets with Missing Data." Electronics 11, no. 6 (March 8, 2022): 837. http://dx.doi.org/10.3390/electronics11060837.

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The creation of synthetic data are important for a range of applications, for example, to anonymise sensitive datasets or to increase the volume of data in a dataset. When the target dataset has missing data, then it is common to just discard incomplete observations, even though this necessarily means some loss of information. However, when the proportion of missing data are large, discarding incomplete observations may not leave enough data to accurately estimate their joint distribution. Thus, there is a need for data synthesis methods capable of using datasets with missing data, to improve accuracy and, in more extreme cases, to make data synthesis possible. To achieve this, we propose a novel generative adversarial network (GAN) called MaWGAN (for masked Wasserstein GAN), which creates synthetic data directly from datasets with missing values. As with existing GAN approaches, the MaWGAN synthetic data generator generates samples from the full joint distribution. We introduce a novel methodology for comparing the generator output with the original data that does not require us to discard incomplete observations, based on a modification of the Wasserstein distance and easily implemented using masks generated from the pattern of missing data in the original dataset. Numerical experiments are used to demonstrate the superior performance of MaWGAN compared to (a) discarding incomplete observations before using a GAN, and (b) imputing missing values (using the GAIN algorithm) before using a GAN.
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Ong, Yong Zheng, and Haizhao Yang. "Generative imaging and image processing via generative encoder." Inverse Problems & Imaging 16, no. 3 (2022): 525. http://dx.doi.org/10.3934/ipi.2021060.

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<p style='text-indent:20px;'>This paper introduces a novel generative encoder (GE) framework for generative imaging and image processing tasks like image reconstruction, compression, denoising, inpainting, deblurring, and super-resolution. GE unifies the generative capacity of GANs and the stability of AEs in an optimization framework instead of stacking GANs and AEs into a single network or combining their loss functions as in existing literature. GE provides a novel approach to visualizing relationships between latent spaces and the data space. The GE framework is made up of a pre-training phase and a solving phase. In the former, a GAN with generator <inline-formula><tex-math id="M1">\begin{document}$ G $\end{document}</tex-math></inline-formula> capturing the data distribution of a given image set, and an AE network with encoder <inline-formula><tex-math id="M2">\begin{document}$ E $\end{document}</tex-math></inline-formula> that compresses images following the estimated distribution by <inline-formula><tex-math id="M3">\begin{document}$ G $\end{document}</tex-math></inline-formula> are trained separately, resulting in two latent representations of the data, denoted as the generative and encoding latent space respectively. In the solving phase, given noisy image <inline-formula><tex-math id="M4">\begin{document}$ x = \mathcal{P}(x^*) $\end{document}</tex-math></inline-formula>, where <inline-formula><tex-math id="M5">\begin{document}$ x^* $\end{document}</tex-math></inline-formula> is the target unknown image, <inline-formula><tex-math id="M6">\begin{document}$ \mathcal{P} $\end{document}</tex-math></inline-formula> is an operator adding an addictive, or multiplicative, or convolutional noise, or equivalently given such an image <inline-formula><tex-math id="M7">\begin{document}$ x $\end{document}</tex-math></inline-formula> in the compressed domain, i.e., given <inline-formula><tex-math id="M8">\begin{document}$ m = E(x) $\end{document}</tex-math></inline-formula>, the two latent spaces are unified via solving the optimization problem</p><p style='text-indent:20px;'><disp-formula> <label/> <tex-math id="FE1"> \begin{document}$ z^* = \underset{z}{\mathrm{argmin}} \|E(G(z))-m\|_2^2+\lambda\|z\|_2^2 $\end{document} </tex-math></disp-formula></p><p style='text-indent:20px;'>and the image <inline-formula><tex-math id="M9">\begin{document}$ x^* $\end{document}</tex-math></inline-formula> is recovered in a generative way via <inline-formula><tex-math id="M10">\begin{document}$ \hat{x}: = G(z^*)\approx x^* $\end{document}</tex-math></inline-formula>, where <inline-formula><tex-math id="M11">\begin{document}$ \lambda&gt;0 $\end{document}</tex-math></inline-formula> is a hyperparameter. The unification of the two spaces allows improved performance against corresponding GAN and AE networks while visualizing interesting properties in each latent space.</p>
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Feigin, Leon, Amir Weinberg, and Ariel Nause. "Algorithm Verification of Single-Shot Relativistic Emittance Proposed Measuring Method." Electronics 11, no. 13 (July 4, 2022): 2092. http://dx.doi.org/10.3390/electronics11132092.

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A 6 MeV hybrid photo-cathode gun is driving a THz-FEL in Ariel University, as well as other applications. An electron bunch with small transverse emittance is extracted from a copper photo-cathode using a 1 ps UV laser pulse, and then accelerated to a kinetic energy of 6.5 MeV. The Hybrid term is due to the unique standing wave-traveling wave sections in a single RF cavity. Since low emittance is crucial for FEL operation, the characterization of the electron beam requires measuring the transverse emittance, which will be compared with the predicted design and the 3D simulation obtained values, in order to verify their correctness. In this paper, we confirm the use of the multi-slit technique to measure emittance in the Hybrid beam in a single shot and develop a simple and convenient algorithm to be used in the experimental measurements. The experimental analysis requires image processing of the measured data, combined with a custom LabVIEW and Matlab scripts to control the hardware, and analyze the obtained data. Prior to experimentally measuring emittance, we perform a simulated experiment, using a simulated beam from the General Particle Tracer (GPT) code to test these algorithms and scripts, and compare the emittance obtained using the algorithm with GPT’s estimated emittance. Once concluded, this method will allow for a simple, fast and accurate single shot emittance measurement for the Hybrid accelerator beam.
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Dissertations / Theses on the topic "Gun control – Data processing"

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Van, Schalkwyk Dirko. "Distributed real-time processing using GNU/Linux/libré software and COTS hardware." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49933.

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Thesis (MScIng)--Stellenbosch University, 2004.
ENGLISH ABSTRACT: This dissertation's research aims at studying the viability of using both low cost consumer Commodity Off The Self (COTS) PCs and libn~software in implementing a distributed real-time system modeled on a real-world engineering problem. Debugging and developing a modular satellite system is both time consuming and complex, to this end the SUNSATteam has envisioned the Interactive Test System that would be a dual mode simulator/monitoring system. It is this system that requires a real-time back-end and is used as a real world problem model to implement. The implementation was accomplished by researching the available parallel processing software and real-time extensions to GNU/Linux and choosing the appropriate solutions based on the needs of the model. A monitoring system was also implemented, for system verification, using freely available system monitoring utilities. The model was successfully implemented and verified with a global synchronization of < 10ms. It was shown that GNU/Linux and libn~ software is both mature enough and appropriate in solving a real world distributed real-time problem.
AFRIKAANSE OPSOMMING: Die tesis se navorsing is daarop gemik om die toepaslikheid van beide lae koste verbruikers Komoduteits Van Die Rak (KVDR)persoonlike rekenaars en vemiet sagteware in die implementasie van verspreide intydse stelsels te ondersoek aan die hand van die oplossing van 'n gemodelleerde ingenieurs probleem. Die ontfouting en ontwikkeling van 'n modulere satelliet is beide tyd rowend en kompleks, om hierdie te vergemaklik het die SUNSAT span die Interaktiewe Toets Stelsel gekonseptualiseer, wat in wese'n dubbel modus simulator/moniteerings stelsel sou wees. Dit is hierdie stelsel wat 'n verspreide intydse onderstel benodig en dien as die regte wereld probleem model om op te los. Die implementasie is bereik deur die beskikbare verspreide verwerkings sagteware en intydse uitbreidings vir GNU/Linux te ondersoek en die toepaslike opsies te kies gegrond op die behoeftes van die model. 'n Moniteerings stelsel is ook geimplimenteer, met behulp van libn~sagteware, vir stelsel verifikasie. Die model was suksesvol geimplimenteer en geverifieer met 'n globale sinkronisasie van < 10ms. Daar is getoon dat GNU/Linux en libn~sagteware beide volwaardig en geskik is vir die oplossing van regte wereld verspreide intydse probleme.
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Cheng, Xiaofeng. "Analysis of States Gun Control Restrictions." Scholar Commons, 2002. http://purl.fcla.edu/fcla/etd/SFE0000037.

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Lane, Alexander M. "Mass Shootings and Gun Control: Obama’s Road to Reform." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/621.

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This work is intended to evaluate President Obama’s gun control policies by determining whether stricter federal gun control laws should apply within theUnited States. This paper examines whether setting legal standards at a national level would effectively reduce gun related violence and mass shootings on a local and state level. These include events such as Sandy Hook Elementary inNewton,Connecticut, the Virginia Polytechnic school shootings, and theAuroraTheatershooting inDenver,Colorado. Specifically, could executive orders proposed by the president, such as assault weapon bans, rigorous background checks on gun sales, submission of mental health records to the FBI Databases, and increased aid between states and mental health care institutions effectively reduce horrific incidences of gun related violence. Using gun control data from past and present as our research, we will determine whether stricter gun control policies have deterred violent crimes, murder rates, suicides and mass shootings. Since our research focuses on policy solutions as an alternative to reduce mass shootings, not the psychological make ups and environmental factors of mass shooters, we will omit America’s gun culture as a variable within our study: such as the effects violent video games and movies could have on the psyche of troubled individuals. After carefully analyzing gun date related to gun violence and crime, this work will attempt to suggest whether or not President Obama’s gun control policies will pass in Congress and which legislation will be the most effective in limiting gun violence and mass shootings.
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Sabri, Dina O. "Process control using an optomux control board." Virtual Press, 1987. http://liblink.bsu.edu/uhtbin/catkey/484759.

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In this thesis process control concepts were used to develop software that could be adapted to a real world situation. The software was used to control a simple temperature regulating experiment. This experiment was used to demonstrate the use of OPTOMUX analog and digital input/output devices in controlling a process. The goal of this experiment was to use the input/output devices in controlling the temperature of the box within specified tolerances for a designated period of time. To accomplish optimal use of equipment and optimal control, a mathematical model was derived to predict the behavior of the process under control. The pattern observed while the temperature was increasing toward room temperature closely resembled an exponential function. For temperatures above room temperatures the curve then approximated a square root function. The pattern followed when decreasing the temperature-was exponential throughout. The time required to collect all the significant data in the case of increasing the temperature was two hours. In the case of decreasing temperature, one hour. Beyond these time limits the temperature remained essentially constant. The maximum temperature value that could be reached was six degrees above room temperature and the minimum two degrees below room temperature.
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May, Brian 1975. "Scalable access control." Monash University, School of Computer Science and Software, 2001. http://arrow.monash.edu.au/hdl/1959.1/8043.

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Cline, George E. "A control framework for distributed (parallel) processing environments." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12042009-020227/.

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Kleine, Matthias, Robert Hirschfeld, and Gilad Bracha. "An abstraction for version control systems." Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2012/5562/.

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Versionsverwaltungssysteme (VCS) ermöglichen es Entwicklern, Änderungen an Softwareartifakten zu verwalten. VCS werden mit Hilfe einer Vielzahl verschiedener Werkzeuge bedient, wie z.,B. graphische Front-ends oder Kommandozeilenwerkzeuge. Es ist wünschenswert mit einzelnen solcher Werkzeuge unterschiedliche VCS bedienen zu können. Bislang hat sich jedoch keine Abstraktion für Versionsverwaltungssysteme durchgesetzt, mit deren Hilfe solche Werkzeuge erstellt werden können. Stattdessen implementieren Werkzeuge zur Interaktion mit mehreren VCS ad-hoc Lösungen. Diese Masterarbeit stellt Pur vor, eine Abstraktion über Versionsverwaltungskonzepte. Mit Hilfe von Pur können Anwendungsprogramme entwickelt werden, die mit mehreren Versionsverwaltungssystemen interagieren können. Im Rahmen dieser Arbeit wird eine Implementierung dieser Abstraktion bereitgestellt und mit Hilfe eines Anwendungsprogramms validiert.
Version Control Systems (VCS) allow developers to manage changes to software artifacts. Developers interact with VCSs through a variety of client programs, such as graphical front-ends or command line tools. It is desirable to use the same version control client program against different VCSs. Unfortunately, no established abstraction over VCS concepts exists. Instead, VCS client programs implement ad-hoc solutions to support interaction with multiple VCSs. This thesis presents Pur, an abstraction over version control concepts that allows building rich client programs that can interact with multiple VCSs. We provide an implementation of this abstraction and validate it by implementing a client application.
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Moi, Havard. "Rule-based control of manufacturing systems." Thesis, Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22190168.

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Popa, Tiberiu. "Compiling Data Dependent Control Flow on SIMD GPUs." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1186.

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Current Graphic Processing Units (GPUs) (circa. 2003/2004) have programmable vertex and fragment units. Often these units are implemented as SIMD processors employing parallel pipelines. Data dependent conditional execution on SIMD architectures implemented using processor idling is inefficient. I propose a multi-pass approach based on conditional streams which allows dynamic load balancing of the fragment units of the GPU and better theoretical performance on programs using data dependent conditionals and loops. The proposed system can be used to turn the fragment unit of a SIMD GPU into a stream processor with data dependent control flow.
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Kulatunga, Chamil. "Enforcing receiver-driven multicast congestion control using ECN-Nonce." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=33532.

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Books on the topic "Gun control – Data processing"

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Ganesh, Shashikiran. Automation of PRL's astronomical optical polarimeter with a GNU/Linux based distributed control system. Ahmedabad: Physical Research Laboratory, 2008.

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United States. Congress. House. Committee on the Judiciary. Our Lady of Peace Act: Report (to accompany H.R. 4757) (including cost estimate of the Congressional Budget Office). [Washington, D.C: U.S. G.P.O., 2002.

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United States. Congress. House. Committee on the Judiciary. Our Lady of Peace Act: Report (to accompany H.R. 4757) (including cost estimate of the Congressional Budget Office). [Washington, D.C: U.S. G.P.O., 2002.

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Our Lady of Peace Act: Report (to accompany H.R. 4757) (including cost estimate of the Congressional Budget Office). [Washington, D.C: U.S. G.P.O., 2002.

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Deshpande, Pradeep B. Computer process control, with advanced control applications. 2nd ed. Research Triangle Park, N.C: Instrument Society of America, 1988.

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Continuous control techniques for distributed control systems. Research Triangle Park, NC: Instrument Society of America, 1989.

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Héctor, Benítez-Pérez, ed. Reconfigurable distributed control. London: Springer, 2005.

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Herb, S. M. Understanding distributed processor systems for control. Research Triangle Park, NC: Instrument Society of America, 1999.

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Distributed control systems: Their evaluation and design. New York: Van Nostrand Reinhold Co., 1986.

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Wang, Richard Y. Data quality. Boston: Kluwer Academic Publishers, 2001.

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Book chapters on the topic "Gun control – Data processing"

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Rosato, Donald V., and Dominick V. Rosato. "Testing/Quality Control." In Plastics Processing Data Handbook, 326–51. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-010-9658-4_10.

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Feuer, Arie, and Graham C. Goodwin. "Sampled Data Control." In Sampling in Digital Signal Processing and Control, 343–95. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-2460-0_9.

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Schmedemann, Ole, Maximilian Miotke, Falko Kähler, and Thorsten Schüppstuhl. "Deep Anomaly Detection for Endoscopic Inspection of Cast Iron Parts." In Lecture Notes in Mechanical Engineering, 91–98. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_9.

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AbstractDetecting anomalies in image data plays a key role in automated industrial quality control. For this purpose, machine learning methods have proven useful for image processing tasks. However, supervised machine learning methods are highly dependent on the data with which they have been trained. In industrial environments data of defective samples are rare. In addition, the available data are often biased towards specific types, shapes, sizes, and locations of defects. On the contrary, one-class classification (OCC) methods can solely be trained with normal data which are usually easy to obtain in large quantities. In this work we evaluate the applicability of advanced OCC methods for an industrial inspection task. Convolutional Autoencoders and Generative Adversarial Networks are applied and compared with Convolutional Neural Networks. As an industrial use case we investigate the endoscopic inspection of cast iron parts. For the use case a dataset was created. Results show that both GAN and autoencoder-based OCC methods are suitable for detecting defective images in our industrial use case and perform on par with supervised learning methods when few data are available.
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Palz, Wolfgang, and Jürgen Greif. "Quality control and data processing." In European Solar Radiation Atlas, 5–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80237-9_5.

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Keviczky, László, Ruth Bars, Jenő Hetthéssy, and Csilla Bányász. "Sampled Data Control Systems." In Advanced Textbooks in Control and Signal Processing, 351–91. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8297-9_11.

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Van Overschee, P. "Data Processing for System Identification." In Advanced Instrumentation, Data Interpretation, and Control of Biotechnological Processes, 191–209. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9111-9_7.

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Gao, Weinan, and Zhong-Ping Jiang. "Data-Driven Nonlinear Adaptive Optimal Control of Connected Vehicles." In Neural Information Processing, 122–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70136-3_13.

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Ljung, Lennart. "Building Models from Frequency Domain Data." In Adaptive Control, Filtering, and Signal Processing, 229–39. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4419-8568-2_10.

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Larkin, E. V., V. S. Nguyen, and A. N. Privalov. "Simulation of Digital Control Systems by Nonlinear Objects." In Artificial Intelligence in Data and Big Data Processing, 711–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97610-1_56.

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Rojek, Gabriel, and Jan Kusiak. "Industrial Control System Based on Data Processing." In Artificial Intelligence and Soft Computing, 502–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29350-4_60.

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Conference papers on the topic "Gun control – Data processing"

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Watanabe, T., and A. Higashimoto. "A Study of Plasma Gun Orientation Control Accuracy for the Thermal Spraying Robot." In ITSC2004, edited by Basil R. Marple and Christian Moreau. ASM International, 2004. http://dx.doi.org/10.31399/asm.cp.itsc2004p0580.

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Abstract This paper is described the experimental results, on the simple method for measure the accuracy of plasma gun autonomous control system with plural laser range sensors for thermal spraying robot. In this robot, plasma gun position and orientation under spraying condition are measured with two laser range finders. Laser wavelength is about 600 nm, visible. Measured data are fed to microcomputer system in order to generate the control signal for the robot movement. The plasma gun installed on thermal spraying robot is maintained preset distance and perpendicularity within preset angle to the work piece surface and kept constant feed rate during thermal splaying operation. The processing feed rate on the surface has influence important for the quality of the processed surface. This simple measuring method is very useful for thermal splaying process.
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Demirbilek, Burak Han, Ahmet Semih Tasbas, and Nazim Kemal Ure. "Attitude Control of a Gun Turret Platform with Reinforcement Learning." In 2021 29th Signal Processing and Communications Applications Conference (SIU). IEEE, 2021. http://dx.doi.org/10.1109/siu53274.2021.9477911.

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Lei, Yang, Jing Xu, and Qiang Hao. "Application of ADRC in Stability Control of Tank Gun System." In 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2018. http://dx.doi.org/10.1109/ddcls.2018.8515958.

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Pavlick, Ellie, Heng Ji, Xiaoman Pan, and Chris Callison-Burch. "The Gun Violence Database: A new task and data set for NLP." In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/d16-1106.

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Hong-yan, Wang, and Qiao Ji-hong. "Robust control research on adaptive wavelet neural network identification for tank all-electric gun control system." In 2011 2nd International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2011. http://dx.doi.org/10.1109/icicip.2011.6008268.

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Gangal, P. P., V. R. Satpute, K. D. Kulat, and A. G. Keskar. "Application of image processing for spray angle measurement of furnace oil gun nozzle." In 2012 2nd International Conference on Power, Control and Embedded Systems (ICPCES). IEEE, 2012. http://dx.doi.org/10.1109/icpces.2012.6508043.

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Iyengar, Dwarkesh, and Diane L. Peters. "Development of a Miniaturized Autonomous Vehicle: Modification of a 1:18 Scale RC Car for Autonomous Operation." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9799.

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Autonomous vehicles are a subject of intense research interest, and are being approached by many researchers in different ways. Some of these approaches are based upon pure simulation, while others involve investigations using hardware. One possible approach, which can be useful when investigating how autonomous vehicles might interact, involves the use of physical scaled model vehicles, and the development of an appropriate vehicle is the focus of this paper. For this purpose, a commercially available 1:18 radio controlled car is remodeled and modified. An onboard microcontroller unit (MCU) is used for sensor data acquisition and preliminary signal conditioning as well as actuator control. The sensor array includes a gyroscope/accelerometer, a compass and speed encoder to find the angular and linear position of the car in a local coordinate frame as well as a range finder to detect impending obstacles in the vehicle’s planned path. This information is sent over a serial communication protocol to a Master station via a 2.4 GHz wireless module. The master station consists of a National Instruments (NI) myRIO real-time FPGA module where the local coordinates are used to formulate the position of the car in global coordinates and a user defined control scheme is implemented and the appropriate actuator signal is sent back wirelessly to the MCU on the car. The main purpose of using an independent and offsite control station is to isolate the main processing and increase response speed to changing environmental factors. Furthermore, the myRIO contains the dynamic model of the car which can be modified by linking it to a personal computer station running the LabVIEW graphic user interface (GUI). This adds greater flexibility to the overall system, thus allowing the user to focus on the different control schemes to be implemented through the hardware setup. This setup will be replicated for more cars, set in an urban traffic environment, and the interactions between the cars can then be studied and optimized.
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Mohler, R. R., W. J. Kolodziej, and R. L. Bond. "Observability in Space-Based Data Processing." In 1986 American Control Conference. IEEE, 1986. http://dx.doi.org/10.23919/acc.1986.4789189.

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Kaixin, Shen, Honglei An, Huang Yongshan, Wei Qing, and Ma HongXu. "Visual Real-time Data Processing." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164097.

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Gupta, Saransh. "Optimized Text Data Processing." In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2018. http://dx.doi.org/10.1109/icacccn.2018.8748735.

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Reports on the topic "Gun control – Data processing"

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Ballata, William O., J. Robert Klinger, and Shawn M. Walsh. XM194 Gun Mount Shield: Processing in a Female Tool Utilizing Embedded Sensors for Process Control. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada353894.

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Dogruel, David, and William Kirk Hollis. LANL Hydrogen Processing Laboratory (HPL), Data acquisition and control system upgrade. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1244320.

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Beer, Randall D. Neural Networks for Real-Time Sensory Data Processing and Sensorimotor Control. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada251567.

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Beer, Randall D. Neural Networks for Real-Time Sensory Data Processing and Sensorimotor Control. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada259120.

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Levitan, Herbert. Microcomputer-Based Data Acquisition, Analysis and Control of Information Processing by Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, November 1986. http://dx.doi.org/10.21236/ada177170.

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Hall, Candice, and Robert Jensen. Utilizing data from the NOAA National Data Buoy Center. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40059.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) guides users through the quality control (QC) and processing steps that are necessary when using archived U.S. National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) wave and meteorological data. This CHETN summarizes methodologies to geographically clean and QC NDBC measurement data for use by the U.S. Army Corps of Engineers (USACE) user community.
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Cook, Samantha, Marissa Torres, Nathan Lamie, Lee Perren, Scott Slone, and Bonnie Jones. Automated ground-penetrating-radar post-processing software in R programming. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45621.

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Ground-penetrating radar (GPR) is a nondestructive geophysical technique used to create images of the subsurface. A major limitation of GPR is that a subject matter expert (SME) needs to post-process and interpret the data, limiting the technique’s use. Post-processing is time-intensive and, for detailed processing, requires proprietary software. The goal of this study is to develop automated GPR post-processing software, compatible with Geophysical Survey Systems, Inc. (GSSI) data, in open-source R programming. This would eliminate the need for an SME to process GPR data, remove proprietary software dependencies, and render GPR more accessible. This study collected GPR profiles by using a GSSI SIR4000 control unit, a 100 MHz antenna, and a Trimble GPS. A standardized method for post-processing data was then established, which includes static data removal, time-zero correction, distance normalization, data filtering, and stacking. These steps were scripted and automated in R programming, excluding data filtering, which was used from an existing package, RGPR. The study compared profiles processed using GSSI software to profiles processed using the R script developed here to ensure comparable functionality and output. While an SME is currently still necessary for interpretations, this script eliminates the need for one to post-process GSSI GPR data.
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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Palmer, Guy, Varda Shkap, Wendy Brown, and Thea Molad. Control of bovine anaplasmosis: cytokine enhancement of vaccine efficacy. United States Department of Agriculture, March 2007. http://dx.doi.org/10.32747/2007.7695879.bard.

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Anaplasmosis an arthropod-born disease of cattle caused by the rickettsia Anaplasma marginale and is an impediment to efficient production of healthy livestock in both Israel and the United States. Currently the only effective vaccines are derived from the blood of infected cattle. The risk of widespread transmission of both known and newly emergent pathogens has prevented licensure of live blood-based vaccines in the U.S. and is a major concern for their continued use in Israel. Consequently development of a safe, effective vaccine is a high priority. In this collaborative project we focused on two approaches to vaccine development. The first focused o n improving antigen delivery to livestock and specifically examined how DNA vaccines could be improved to enhance priming and expansion of the immune response. This research resulted in development and testing of two novel vaccine delivery systems--one that targeted antigen spread among dendritic cells (the key cell in priming immune responses and a follow-on construct that also specifically targeted antigen to the endosomal-lysosomal compartment the processing organelle within the dendritic cell that directs vaccine antigen to the MHC class ll-CD4* T cell priming pathway). The optimized construct targeting vaccine antigen to the dendritic cell MHC class II pathway was tested for ability to prime A. marginale specific immune responses in outbred cattle. The results demonstrated both statistically significant effects of priming with a single immunization, continued expansion of the primary immune response including development of high affinity lgG antibodies and rapid recall of the memory response following antigen challenge. This portion of the study represented a significant advance in vaccine delivery for livestock. Importantly the impact of these studies is not limited to A. marginale a s the targeting motifs are optimized for cattle and can be adapted to other cattle vaccinations by inserting a relevant pathogen-specific antigen. The second approach (which represented an addition to the project for which approval was requested as part of the first annual report) was a comparative approach between A . marginale and the Israel A . centrale vaccines train. This addition was requested as studies on Major Surface Protein( MSP)- 2 have shown that this antigen is highly antigenically variable and presented solely as a "static vaccine" antigen does not give cross-strain immunity. In contrast A. . centrale is an effective vaccine which Kimron Veterinary institute has used in the field in Israel for over 50 years. Taking advantage of this expertise, a broad comparison of wild type A. marginale and vaccine strain was initiated. These studies revealed three primary findings: i) use of the vaccine is associated with superinfection, but absence of clinical disease upon superinfection with A. marginale; ii) the A. centrale vaccine strain is not only less virulent but transmission in competent in Dermacentor spp. ticks; and iii) some but not all MSPs are conserved in basic orthologous structure but there are significant polymorphisms among the strains. These studies clearly indicated that there are statistically significant differences in biology (virulence and transmission) and provide a clear path for mapping of biology with the genomes. Based on these findings, we initiated complete genome sequencing of the Israel vaccine strain (although not currently funded by BARD) and plant to proceed with a comparative genomics approach using already sequenced wild-type A. marginale. These findings and ongoing collaborative research tie together filed vaccine experience with new genomic data, providing a new approach to vaccine development against a complex pathogen.
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Minero Alejandre, Gemma. Ownership of Databases: Personal Data Protection and Intellectual Property Rights on Databases. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64578.

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When we think on initiatives on access to and reuse of data, we must consider both the European Intellectual Property Law and the General Data Protection Regulation (GDPR). The first one provides a special intellectual property (IP) right – the sui generis right – for those makers that made a substantial investment when creating the database, whether it contains personal or non-personal data. That substantial investment can be made by just one person, but, in many cases, it is the result of the activities of many people and/or some undertakings processing and aggregating data. In the modern digital economy, data are being dubbed the ‘new oil’ and the sui generis right might be con- sidered a right to control any access to the database, thus having an undeniable relevance. Besides, there are still important inconsistences between IP Law and the GDPR, which must be removed by the European legislator. The genuine and free consent of the data subject for the use of his/her data must remain the first step of the legal analysis.
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