Academic literature on the topic 'OpenCV library too'
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Journal articles on the topic "OpenCV library too"
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Sariati Syah, Riri Asyahira, and Rijal Hakiki. "The Utilization OpenCV to Measure the Water Pollutants Concentration." Journal of Environmental Engineering and Waste Management 6, no. 2 (2021): 90. http://dx.doi.org/10.33021/jenv.v6i2.1475.
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<strong>Abstract. </strong>Intensive water quality determination needs to be adjusted with technological developments to meet today's society's needs and increased water pollution due to urbanization. Therefore, early detection is essential for in site water quality determination and as a critical consideration in making health and environmental decisions. OpenCV is a library programming feature for Computer Vision which focuses on extracting information from images in real-time, this can be considered to be potential to measure the pollutant concentration. <strong>Objectives:</strong> This study identify the potential of colorimetry analysis method by using OpenCV as an alternative method for pollutant concentration measurement<strong>. Method and results:</strong> First stage, this study collecting the data of NH3 phenate and Pt-Co CU from the spectrophotometer. The first stage also was including the development of an OpenCV code. Then, the data was collected were processed to get the concentration of NH3 and Pt-Co both using OpenCV and spectrophotometer; factors that influence the Pt-Co sample image measurement process by using OpenCV-Python was analyzed too. Then in the analysis stage, the result of the two measurement method was tested by statistic determine its significant difference. The conclusion found whether OpenCV could be potential to measure the pollutant concentration or not. <strong>Conclusion:</strong> the OpenCV has potential to be use as alternative colorimetry measurement method to determine water pollutant as there is no significant difference in the spectrophotometric method results and the results from OpenCV for Pt-Co sample. Meanwhile, in this study found that the result of NH3 from spectrophotometer is nonlinear different with from OpenCV that is linear. Thus, further research is needed to test the validity of OpenCV method. The factor influence of measurement using OpenCV code is when determining the Region of Interest (ROI) and determining the pixel values for the normalized box filter
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Haq, Muhammad Abdul, Iwan Kurnianto Wibowo, and Bima Sena Bayu Dewantara. "Improving the speed of ball detection process and obstacle detection process in ERSOW robot using omnidirectional vision based on ROS." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1365. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1365-1371.
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This paper presents a novel approach for improving the computation speed of the ball detection and obstacle detection processes in our robot. The conditions of obstacle detection and ball detection in our robot still have a slow processing speed, this condition makes the robot not real-time and the robot's movement is hampered. To build a good world model, things to note are obstacle information and real-time ball detection. The focus of this research is to increase the speed of the process of the ball and obstacle detection around the robot. To increase the speed of the process, it is necessary to optimize the use of the OpenCV library on the robot operating system (ROS) system to divide the process into several small processes so that the work can be optimally divided into threads that have been created. Then, minimize the use of too many frames. This information will be sent to the base station and also for obstacle avoidance purposes.
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Haq, Muhammad Abdul, Iwan Kurnianto Wibowo, and Bima Sena Bayu Dewantara. "Improving the speed of ball detection process and obstacle detection process in ERSOW robot using omnidirectional vision based on ROS." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1365–71. https://doi.org/10.11591/ijeecs.v22.i3.pp1365-1371.
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This paper presents a novel approach for improving the computation speed of the ball detection and obstacle detection processes in our robot. The conditions of obstacle detection and ball detection in our robot still have a slow processing speed, this condition makes the robot not real-time and the robot's movement is hampered. To build a good world model, things to note are obstacle information and real-time ball detection. The focus of this research is to increase the speed of the process of the ball and obstacle detection around the robot. To increase the speed of the process, it is necessary to optimize the use of the OpenCV library on the robot operating system (ROS) system to divide the process into several small processes so that the work can be optimally divided into threads that have been created. Then, minimize the use of too many frames. This information will be sent to the base station and also for obstacle avoidance purposes.
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Simran, Pal, Dorji Sonam, Kumar Sonu, Nagar Sunil, and Chakraborty Surankan. "Autonomous Thermal Screening and Integrated Attendance Cataloguing System Using Machine Learning and Sqlite3." Recent Trends In Cloud Computing And Web Engineering 5, no. 1 (2023): 17–26. https://doi.org/10.5281/zenodo.7668704.
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<em>The concern toward health regulations has been on high alert since the Covid pandemic. Almost all public places necessitate a thermal checkup at the entrances. This research aims to create an economic and reliant camera ecosystem, which is automated and integrated to detect individuals by their pre-recorded facial biometrics, check their heat signature against a threshold, and log that as attendance in a database with the hash of said individual. The present systems are either too expensive or unreliable if it's affordable. The research proposes a relatively inexpensive solution that is easy to implement and flexible. The most ergonomic algorithms available are selected and used to increase detection accuracy: Dlibs' facial recognition model, Haar Cascade SVM, and DNN are some primary algorithms used. The most costly component of the existing systems is the thermal sensors, and the research addresses this issue using OpenCV's library methods, which are cheap to implement and use. The proposed system will work in real time with dynamic image recognition. </em>
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Stemy, Simon Divya Kumaran A.K. "DETECTION OF MOTORCYCLISTS WITHOUT HELMET AND FINEPAYMENT USING OPEN CV." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [AIVESC-18] (April 26, 2018): 28–32. https://doi.org/10.5281/zenodo.1230362.
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The helmet is the main safety equipment of motorcyclists, but many drivers do not use it. The main aim of this project is to construct an automatic detection of the motorcyclist without helmet from video using OpenCV library tools. If they are not wearing the helmet, the license plate of the motorcycle is focused automatically. By using Computer Vision technique we can detect and recognize the license plate number. We make the training set of different characters of different sizes. Based on these training set, we extracted the character from images and fine is to be cut-off from the user. This billing system will recognize the character which automatically updates a database of traffic police with the details of user. Once the details are updated, motorcyclists charged for without wearing the helmet and the text sent to the database contains the details of the vehicle. When the system is damaged or not working, it will inform the police through the database system.
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Osazuwa-Ojo, Victory Osaruese, and Victor O. Elaigwu. "A TWO-STEP AUTHENTICATION FACIAL RECOGNITION SYSTEM FOR AUTOMATED ATTENDANCE TRACKING." FUDMA JOURNAL OF SCIENCES 8, no. 6 (2024): 7–16. https://doi.org/10.33003/fjs-2024-0806-2773.
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This study addresses the need for efficient, automated attendance systems through the design of a facial recognition application. Manual attendance systems are slow, error-prone and the retrieval of old records can be tedious. Universally assessable technological developments such as facial recognition software can easily solve these problems. However, the vast amount of computational resources required for its implementation has posed a limitation to its wide adoption. This study presents a two-step approach to resolve these challenges. By leveraging a faster, less-powerful model, as the first step, the workload of facial recognition can be distributed to save time and computational cost. A more powerful machine learning model is applied as the second step, deployed for tasks that are too complex for the first model to handle. The two-step authentication process will also reduce the occurrences of false negatives. Face_recognition, a python library is used for detection and encoding of face images read using python’s opencv library from an IP webcam. A flask application demonstrates this facial recognition functionality. The database connection and communication are accomplished using flask_sqlalchemy. A graphical user interface (web application) is used to interact with users on a high level, showing saved images of logged personnel and their times of entry. The system has a maximum accuracy of 98.78% and precision of 98.82% from tests. This shows its potential for application on a wider scale, with some added improvements such as cloud deployment and larger datasets.
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Sodagra, Hinal, Dhruv Umraliya, Ruchi Shah, Shripad Nagpurkar, and Prof Prajakta Pawar. "Covid Safety System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1781–88. http://dx.doi.org/10.22214/ijraset.2022.41580.
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Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to which detectsthe distance and the outcome isthe pump starts running out the hand sanitizer.Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Sensor, Sanitizer, Infrared sensor.
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Buana, I. Komang Setia. "Penerapan Pengenalan Wajah Untuk Aplikasi Absensi dengan Metode Viola Jones dan Algoritam LBPH." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 3 (2021): 1008. http://dx.doi.org/10.30865/mib.v5i3.3008.
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The human face can be used to assess because of its uniqueness based on certain parameters. To perform facial recognition, the first thing that needs to be done is face detection. The author uses the Viola-Jones method to detect faces. The Viola-Jones method is known to have high speed and accuracy because it combines several concepts (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into the main method for handling objects. The principle of camera face recognition itself is that the captured face object will be processed and compared with all face images in the existing data set so that the identity of the face is known. One of the applications of face recognition is to do attendance with individual faces. The attendance process does not need physical contact interactions between humans and devices such as the fingerprint system so that during the current COVID-19 pandemic, the spread of the virus can reduce. In this research, a system that can be checked and a person's face is used as a leverage medium for arrival and return attendance using the Viola-Jones method and the LBPH algorithm. The language used is python with the OpenCV library. The PHP language is used for the user interface so that users perform attendance via a browser with the MySQL database to store attendance data. The result of the research is that using the Viola-Jones method and the LBPH algorithm faces are identified and the data is stored in the database used for data attendance. Distance and slope affect the results of face recognition. The distance is too close about 30 cm from the camera, the face cannot be detected. Instead of face position is too far approximately 200 cm, the face can still be detected but could not be identified. For a face tilt level of about 20o from perpendicular, it can still be recognized, but at a tilt degree of about 30o up or to the right, faces cannot be detected.
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Sodagra, Hinal. "A Survey on Covid Safety System." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 589–93. http://dx.doi.org/10.22214/ijraset.2021.38850.
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Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to it, the Arduino Uno is utilized as a microcontroller, which detects the distance and the outcome isthe pump starts running out the hand sanitizer. Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Arduino, Sensor, Sanitizer, Infrared sensor
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MUHAMMAD, AMIRUL ZAQWAN ABDUL RAHMAN, SAMAD HASAN BASARI ABD, KHILWANI IBRAHIM NUZULHA, MOHD YAACOB NOORAYISAHBE, and DOHEIR 5MOHAMED. "STUDENT MEDICAL CERTIFICATE VALIDATION USING OPTICAL CHARACTER RECOGNITION." Seybold Report V16, no. 11 (2021): 15–27. https://doi.org/10.5281/zenodo.6553561.
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<strong>Abstract</strong> A student medical certificate validation is developed in web-based application. Based on the problem statement, medical certificate is university used to as a record that a student unable to attend to a class. It is simply too easy to obtain a sick certificate and to stay off class. Forged medical certificate has been used by students to absent their class. However, due to lack of integrity among the citizens, people tend to purchase or create forged medical certificates from various website that offers these documents. The objectives of this project are to study the optical character recognition (OCR) technology and document authentication process, and to validate the functionality of the system. The OCR technology method is applied in this project for performing an easy way to check the verification of a medical certificate. The method that have been used is for encode the information data to protect the data from being forge. Thus, the lecturer can verify the medical certificate by using web-based application to get the real information from it.
Dissertations / Theses on the topic "OpenCV library too"
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Barsky, Eugene, Aleteia Greenwood, and Kevin Lindstrom. "Portable science: podcasting as an outreach tool for a large academic science and engineering library." 2009. http://hdl.handle.net/2429/10022.
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INTRODUCTION
While the concept is widely defined and interpreted, all Web 2.0 tools have certain characteristics in common; they are collaborative in nature, interactive, and dynamic. The Science and Engineering librarians at the University of British Columbia are collaborating with their liaison departments to record science and engineering podcasts, host them and share them with a wider audience.
OBJECTIVES
In this session, we discuss the use of podcasting as an outreach tool that connects a large academic science and engineering library with its users and raises users’ awareness of additional library services. Functionality, usability and practical applications of podcasting tools are reviewed.
OUTCOMES
At the end of this session, we will have demonstrated:
1) Overall usability of podcasting academic science and engineering content; tips and tricks when creating and tailoring podcasts to your community needs;
2) Use of podcasting as an outreach and community engagement tool in academic libraries and as a supplement for the traditional academic information resources.
DISCUSSION
The strength of podcasting, to allow content to be created by the users for the users, makes it an appealing addition to the academic librarians’ toolbox. Podcasting is a service that many of our users might not expect from their library, which makes it a unique and attractive offering. It requires few resources, and the end result might exceed librarians’ expectations. We found podcasting to be a robust outreach tool and a service that raises the profile of the library and as such creates an opportunity for users to find additional library resources. Nevertheless, it is necessary for academic librarians to critically evaluate the continuous innovations of Web 2.0 technologies on an ongoing basis so that they are best prepared to put them into the appropriate context amongst other relevant and important information.
Books on the topic "OpenCV library too"
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Arthur, Miller. Tod eines Handlungsreisenden: Neu ubersetzt von Volker Schlondorf. Fischer Taschenbuch Verlag, 1989.
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Skelton, Kimberley, ed. Early Modern Spaces in Motion. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463725811.
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Stretching back to antiquity, motion had been a key means of designing and describing the physical environment. But during the sixteenth through eighteenth centuries, individuals across Europe increasingly designed, experienced, and described a new world of motion: one characterized by continuous, rather than segmented, movement. New spaces that included vistas along house interiors and uninterrupted library reading rooms offered open expanses for shaping sequences of social behaviour, scientists observed how the Earth rotated around the sun, and philosophers attributed emotions to neural vibrations in the human brain. Early Modern Spaces in Motion examines this increased emphasis on motion with eight essays encompassing a geographical span of Portugal to German-speaking lands and a disciplinary range from architectural history to English. It consequently merges longstanding strands of analysis considering people in motion and buildings in motion to explore the cultural historical attitudes underpinning the varied impacts of motion in early modern Europe.
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Michael, Knight. Tom Clancy's Rainbow Six: Prima's official strategy guide. Prima, 1998.
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1947-, Clancy Tom, ed. Tom Clancy's Rainbow Six: Gold Edition: Prima's Official Strategy Guide. Prima Games, 1999.
Find full textBook chapters on the topic "OpenCV library too"
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Greiner-Petter, André, Howard S. Cohl, Abdou Youssef, et al. "Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99524-9_5.
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AbstractDigital mathematical libraries assemble the knowledge of years of mathematical research. Numerous disciplines (e.g., physics, engineering, pure and applied mathematics) rely heavily on compendia gathered findings. Likewise, modern research applications rely more and more on computational solutions, which are often calculated and verified by computer algebra systems. Hence, the correctness, accuracy, and reliability of both digital mathematical libraries and computer algebra systems is a crucial attribute for modern research. In this paper, we present a novel approach to verify a digital mathematical library and two computer algebra systems with one another by converting mathematical expressions from one system to the other. We use our previously developed conversion tool (referred to as "Image missing" ) to translate formulae from the NIST Digital Library of Mathematical Functions to the computer algebra systems and . The contributions of our presented work are as follows: (1) we present the most comprehensive verification of computer algebra systems and digital mathematical libraries with one another; (2) we significantly enhance the performance of the underlying translator in terms of coverage and accuracy; and (3) we provide open access to translations for and of the formulae in the NIST Digital Library of Mathematical Functions.
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Blanco-Claraco, José Luis, Javier López-Martínez, Francisco Javier Garrido-Jiménez, Pedro Gómez-Calvache, and José Manuel García-Manrique-Ocaña. "OpenBeam: Off-Line and On-Line Tools to Solve Static Analysis of Mechanical Structures." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_9.
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AbstractThe direct stiffness matrix method for static calculation of structures represents one of the most precise and efficient paradigms to address the analysis of the structures most typically used in construction. The present work intends to fill a niche in open-source software in the field of computational mechanics in relation to said matrix methods, providing a C++ programming library and a set of associated tools that allow an easy approach to structural analysis. This new project, named OpenBeam, presents a design that emphasizes didactic applications with, among other features: an easy parameterization of structures, the presentation of diagram graphs, and the creation of animations of the deformed structures. In addition, an interactive version of the software is offered as a freely accessible online tool for use on any desktop or mobile device without the need for installations since it runs directly on the web browser. The application is accessible from https://open-beam.github.io/openbeam/.
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Sistla, Meghana, Swarat Chaudhuri, and Thomas Reps. "Symbolic Quantum Simulation with Quasimodo." In Computer Aided Verification. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37709-9_11.
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AbstractThe simulation of quantum circuits on classical computers is an important problem in quantum computing. Such simulation requires representations of distributions over very large sets of basis vectors, and recent work has used symbolic data-structures such as Binary Decision Diagrams (BDDs) for this purpose. In this tool paper, we present Quasimodo, an extensible, open-source Python library for symbolic simulation of quantum circuits. Quasimodo is specifically designed for easy extensibility to other backends. Quasimodo allows simulations of quantum circuits, checking properties of the outputs of quantum circuits, and debugging quantum circuits. It also allows the user to choose from among several symbolic data-structures—both unweighted and weighted BDDs, and a recent structure called Context-Free-Language Ordered Binary Decision Diagrams (CFLOBDDs)—and can be easily extended to support other symbolic data-structures.
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Ates, Salih, Dirk Beyer, Po-Chun Chien, and Nian-Ze Lee. "MoXIchecker: An Extensible Model Checker for MoXI." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86695-1_1.
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Abstract MoXI is a new intermediate verification language introduced in 2024 to promote the standardization and open-source implementations for symbolic model checking by extending the SMT-LIB 2 language with constructs to define state-transition systems. The tool suite of MoXI provides a translator from MoXI to Btor2, which is a lower-level intermediate language for hardware verification, and a translation-based model checker, which invokes mature hardware model checkers for Btor2 to analyze the translated verification tasks. The extensibility of such a translation-based model checker is restricted because more complex theories, such as integer or real arithmetics, cannot be precisely expressed with bit-vectors of fixed lengths in Btor2. We present MoXIchecker, the first model checker that solves MoXI verification tasks directly. Instead of translating MoXI to lower-level languages, MoXIchecker uses the solver-agnostic library PySMT for SMT solvers as a backend for its verification algorithms. MoXIchecker is extensible because it accommodates verification tasks involving more complex theories, not limited by lower-level languages, facilitates the implementation of new algorithms, and is solver-agnostic by using the API of PySMT. In our evaluation, MoXIchecker uniquely solved tasks that use integer or real arithmetics, and achieved a comparable performance against the translation-based model checker from the MoXI tool suite.
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"Station North Tool Library." In American Perspectives on Learning Communities and Opportunities in the Maker Movement. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8310-3.ch011.
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Station North Tool Library is first and foremost a space that provides low-cost access to tools and information to residents in the Station North Arts and Entertainment District of Baltimore, Maryland. Unique in the fact that the tool library has a maker-type workshop space and offers classes and open times for members to make and create. With a staff of four full-time employees and a total square footage of 2,000 ft2 (186 m2), the space is not large but has a strong presence in the community and a membership that numbers around 2,300 individuals. Membership is based on a sliding scale at $1 per $1000 of income. Learning communities are supported in the space through inclusivity of all members and a management flat-structure where everyone is treated with respect and dignity. This chapter explores the Station North Tool Library.
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Barker, Bradley S. "Station North Tool Library." In Research Anthology on Makerspaces and 3D Printing in Education. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6295-9.ch022.
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Station North Tool Library is first and foremost a space that provides low-cost access to tools and information to residents in the Station North Arts and Entertainment District of Baltimore, Maryland. Unique in the fact that the tool library has a maker-type workshop space and offers classes and open times for members to make and create. With a staff of four full-time employees and a total square footage of 2,000 ft2 (186 m2), the space is not large but has a strong presence in the community and a membership that numbers around 2,300 individuals. Membership is based on a sliding scale at $1 per $1000 of income. Learning communities are supported in the space through inclusivity of all members and a management flat-structure where everyone is treated with respect and dignity. This chapter explores the Station North Tool Library.
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Katz, Demian, and Andrew Nagy. "VuFind." In Open Source Technology. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7230-7.ch073.
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Apache Solr, an open source Java-based search engine, forms the core of many Library 2.0 products. The use of an index in place of a relational database allows faster data retrieval along with key features like faceting and similarity analysis that are not practical in the previous generation of library software. The popular VuFind discovery tool was built to provide a library-friendly front-end for Solr's powerful searching capabilities, and its development provides an informative case study on the use of Solr in a library setting. VuFind is just one of many library packages using Solr, and examples like Blacklight, Summon, and the eXtensible Catalog project show other possible approaches to its use.
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Hicks, Deborah. "Cybrarians at Last?" In Library Science and Administration. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3914-8.ch068.
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This examines the three main themes throughout the book: us versus them, technology as tool, and library as place. Us versus them highlights the relationships that librarians have with their various user communities and even with other librarians. Librarians use technology to position themselves as technology experts, which places users in a subordinate position. Amongst themselves, librarians use technology to distinguish between those who are concerned with patrons' needs and open-minded about the best way to address them and those who are closed-minded and anti-technology. Additionally, librarians use technology to distinguish themselves from LIS faculty members by claiming that faculty members are too distanced from the actual uses of technology in the profession. Technology as tool is perhaps the most dominant theme throughout the book. By understanding technology as just a tool, librarians end up defining themselves by how they use technology, thus limiting not only their use of it, but also placing inadvertent limits on how it can be used within the library itself to provide services. Lastly, technology has changed how librarians understand the library as place. The library, in the face of technological change, has become a place that needs protecting. Librarians, as a result, have become the protectors of the library as place. They use technology in a controlled way to manage this.
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Rahman, Md Mukhlesur, and Md Zahid Hossain Shoeb. "Embracing E-Resource Discovery Technique Using Open Source Software." In Library Science and Administration. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3914-8.ch024.
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The purpose of this write-up is to share the extent of the practice of discovery tools to explore e-resources at the Independent University, Bangladesh (IUB) Library, by its faculty members, research scholars and students. This study is also aimed at investigating and sharing the technical procedure of implementing the discovery tool using open source software, i.e. VuFind. A number of popular open source discovery tools have been examined. A comparison has been made to adopt the most suitable one. This study pointed out that a discovery tool has been instituted first time in Bangladesh from the library professionals and university library perspective. The write-up also provided a total scenario and working process of the VuFind discovery tool which has almost all the advanced technologies of the next generation catalog. The study also found that VuFind may be a good tool for moderately technologically competent library professionals for managing their resources with minimum cost and efforts, having customizable code and unlimited instances.
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Rahman, Md Mukhlesur, and Md Zahid Hossain Shoeb. "Embracing E-Resource Discovery Technique Using Open Source Software." In E-Discovery Tools and Applications in Modern Libraries. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0474-0.ch008.
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The purpose of this write-up is to share the extent of the practice of discovery tools to explore e-resources at the Independent University, Bangladesh (IUB) Library, by its faculty members, research scholars and students. This study is also aimed at investigating and sharing the technical procedure of implementing the discovery tool using open source software, i.e. VuFind. A number of popular open source discovery tools have been examined. A comparison has been made to adopt the most suitable one. This study pointed out that a discovery tool has been instituted first time in Bangladesh from the library professionals and university library perspective. The write-up also provided a total scenario and working process of the VuFind discovery tool which has almost all the advanced technologies of the next generation catalog. The study also found that VuFind may be a good tool for moderately technologically competent library professionals for managing their resources with minimum cost and efforts, having customizable code and unlimited instances.
Conference papers on the topic "OpenCV library too"
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Armitage, Jack, Miguel Crozzoli, and Daniel Jones. "Artificial Life in Integrated Interactive Sonification and Visualisation: Initial Experiments with a Python-Based Workflow." In ICAD 2024: The 29th International Conference on Auditory Display. International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.003.
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Multimodal displays that combine interaction, sonification, visu- alisation and perhaps other modalities, are seeing increased interest from researchers seeking to take advantage of cross-modal perception, by increasing display bandwidth and expanding affordances. To support researchers and designers, many new tools are being proposed that aim to consolidate these broad feature sets into Python libraries, due to Python’s extensive ecosystem that in particular encompasses the domain of artificial intelligence (AI). Artificial life (ALife) is a domain of AI that is seeing renewed interest, and in this work we share initial experiments exploring its potential in interactive sonification, through the combination of two new Python libraries, Tölvera and SignalFlow. Tölvera is a library for composing self-organising systems, with integrated open sound control, interactive machine learning, and computer vision, and SignalFlow is a sound synthesis framework that enables real-time interaction with an audio signal processing graph via standard Python syntax and data types. We demonstrate how these two tools integrate, and the first author reports on usage in creative coding and artistic performance. So far we have found it useful to consider ALife as affording synthetic behaviour as a display modality, making use of human perception of complex, collective and emergent dynamics. In addition, we think ALife also implies a broader perspective on interaction in multimodal display, blurring the lines between data, agent and observer. Based on our experiences, we offer possible future research directions for tool designers and researchers.
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Bódog, András. "Az Annif gépi tárgyszavazó rendszer magyarországi adaptációjának feltételei és lehetőségei." In Networkshop. HUNGARNET Egyesület, 2023. http://dx.doi.org/10.31915/nws.2023.5.
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A recurring annual international event for library information science professionals, the Semantic Web in Libraries (SWIB) conference is a showcase for the latest innovations in linked data and semantic web applications. A regular feature of this conference is the tutorial on the Annif automated subject indexing tool, to which the National Széchényi Library’s Office for GLAM Standards has had the opportunity to delegate a member. Developed by the National Library of Finland, the open source Annif has quickly become one of the flagship for artificial intelligence solutions in libraries. It is already used on routine basis in Finland, more and more libraries are adapting the system, primary in Europe. The secret of its success is both the open source nature of the Annif and the flexibility to integrate with existing components, such as various vocabularies and natural language processing (NLP) algorithms and other AI developments. The Annif therefore is a very useful tool that can significantly facilitate and even revolutionize content discovery, but the key to successful adaptation is the conscious preparation for this task by the library system. It is not only to provide the technical requirements and standardized indexing and cataloging, but also a paradigm shift is needed to enable the current Hungarian library system to adapt such an innovative solution, which brings a new approach to librarians everyday professional life in Hungary. In my paper, summarizing the experiences of the SWIB workshop, I explore these issues and summarize the basic features of the Annif.
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Weng, Olivia, Andres Meza, Javier M. Duarte, Nhan Tran, and Ryan Kastner. "FKeras: A Fault Tolerance Library for Keras." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/3d.2023.jtu4a.40.
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We present FKeras, an open-source tool that uses Hessian information to quickly find which parameters in a neural network are sensitive to radiation faults, reducing the usual 200% resource overhead needed to protect them.
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Weiwei, Chen. "Artificial Intelligence (AI) enables resource sharing and promotes open innovation collaboration within libraries." In Global to Local: Diversity & Inclusiveness in Resource Sharing. http://creativecommons.org/licenses/by/4.0, 2024. https://doi.org/10.60119/nszo3718.
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At present, a new round of scientific and technological revolution and industrial transformation is accelerating. The emergence of AI technology has greatly enhanced the mobility and accessibility of resource information. In recent years, the National Library has always adhered to the development concepts of coordination, openness and sharing, and has established inter-library loan relations with more than 600 libraries in 34 provinces, municipalities and autonomous regions across the country, and inter-library loan relations with more than 500 libraries in 63 countries around the world. To improve the dissemination of resource information, Chinese artificial intelligence technology companies are relying on their technological advantages to expand application areas and enable resource sharing. For example, China's Huawei, Baidu and the National Library have signed cooperation agreements to further promote the application of relevant technologies in library-related fields. Similarly, Ali, Tencent Research Institute, iFlytek, and other companies are actively exploring strategies to use AI to enable resource sharing and promote open innovation collaboration within libraries. Keywords: Artificial intelligence; The library; Resource sharing; Service innovation; Intelligent library
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Dovbnya, Elena V. "The first experience of working within Koha ALIS (case study of Pushchino Research Center). The program analysis and evaluation." In The letter and digit: The libraries on the way to digitalization. Russian National Public Library for Science and Technology, 2024. http://dx.doi.org/10.33186/978-5-85638-275-3-69-79.
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The author analyzes the first results of and prospects for using Koha ALIS (Automated Library Information System) in the library network of the Library for Natural Sciences of the Russian Academy of Sciences (LNS RAS). Koha ALIS is a typical open source system providing the widest opportunities for the libraries that can adapt it to their individual needs. The author discusses the Koha functions of data retrieval, editing and adding copies to the LNS RAS union catalog.
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Shrayberg, Yakov L. "The new focuses in library information support of science and education." In Fourth scientific and practical conference «The letter and digit: The libraries on the way to digitalization». Russian National Public Library for Science and Technology, 2023. http://dx.doi.org/10.33186/978-5-85638-267-8-80-87.
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The author analyzes the system of library and information support of science and education in the Russian Federation and the world, and specifies the vectors of its development. The main challenges of the modern society shaping the development of science and education, are discussed, e.g. COVID-19 pandemic, sanctions, Russia’s withdrawal from the Bologna system, and growing digitalization. The status of and prospects for the national/centralized subscription to digital information resources and open access to the full texts of digital scholarly documents are analyzed. The author also addresses the challenges of academic library collection acquisition, university publishing and integrated library systems for academic libraries. The prospects for Russian library information education in the circumstances of Russia’s withdrawal from the Bologna system and increasing digitalization are assessed.
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Bermejo Ballesteros, Juan, José María Vergara Pérez, Alejandro Fernández Soler, and Javier Cubas Cano. "Mubody, an astrodynamics open-source Python library focused on libration points." In Symposium on Space Educational Activities (SSAE). Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788419184405.040.
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Mubody is an astrodynamics open-source Python library focused on the libration points. Such points result from the equilibrium of the gravitational forces between two massive bodies as the Sun and Earth, for example. The library is mainly intended for the generation of orbits in these regions, which is not a straightforward process, specially if perturbations are considered. Currently, the library allows to generate Lissajous orbits in the second Lagrange point of the Sun-Earth system under the influence of perturbations such as the Earth orbit eccentricity. The next milestone, as a result of a master student work, is the incorporation of Halo orbits and the expansion to all three collinear libration points from any two massive bodies of the Solar System. This tool has been developed as part of a PhD, motivated by the need of performing mission analysis in libration point regions. Nevertheless, since its creation it has also proven to be an excellent academic tool for both enhancing the library itself and using its results for further studies (collision risk, thermal analysis, formation flight control, etc). As a result, the tool has rapidly evolved, building onto the knowledge and experience that the students gather while working on their academic projects (bachelor’s degree dissertations, master theses, subjects, internships). The participation on the library development provides students with experience in orbital mechanics, software design, version control and it compels them to ensure that their work can be readily used by others as it is properly documented. The project is hosted in GitLab under a MIT licence
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Fiorina, Carlo, Andreas Pautz, and Konstantin Mikityuk. "Creation of an OpenFOAM Fuel Performance Class Based on FRED and Integration Into the GeN-Foam Multi-Physics Code." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81574.
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The FRED code is an in-house tool developed at the Paul Scherrer Institut for the so-called 1.5-D nuclear fuel performance analysis. In order to extend its field of application, this code has been re-implemented as a class of the OpenFOAM numerical library. A first objective of this re-implementation is to provide this tool with the parallel scalability necessary for full-core analyses. In addition, the use of OpenFOAM as base library allows for a straightforward interface with the standard Open-FOAM CFD solvers, as well as with the several OpenFOAM-based applications developed by the nuclear engineering community. In this paper, the newly developed FRED-based Open-FOAM class has been integrated in the GeN-Foam multi-physics code mainly developed at the École polytechnique fédérale de Lausanne and at the Paul Scherrer Institut. The paper presents the details of both the re-implementation of the FRED code and of its integration in GeN-Foam. The performances and parallel scalability of the tool are preliminary investigated and an example of application is provided by performing a full-core multi-physics analysis of the European Sodium Fast Reactor.
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Palma, Diego, and Christian Soto. "Open-Source Collaboration to Assess the Text Complexity, Helping to Read and Write in Spanish-Speaking Schools." In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001171.
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In this paper, we describe the role of open-source tools to develop educational systems. In particular, we describe TRUNAJOD, an open-source library to extract readability indices from texts, and how it was used to develop a tool to analyze text complexity of school texts to ease the workload on teachers when selecting a text for a particular reading comprehension task. This educational tool helps the user to calibrate or select texts based on the target school level and desired complexity for the task, offering additionally important development possibilities for writing assessment.
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Silva, Marcos Vinicius M., and Marcos A. Simplicio Jr. "Library Application for a Fair, Traceable, Auditable and Participatory Drawing Tool for Legal Systems." In Anais Estendidos do Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbseg_estendido.2020.19278.
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Several applications require random sampling to be protected against a biased behavior. When conflicting parties have different interests in its result, the system must guarantee that collusion among any number of entities cannot influence the resulting computation. Such is the case of legal systems, in which jurors and judges must be randomly picked to ensure impartiality in judicial cases. However, when informational systems are used to generate randomness, it should also provide auditability of its mechanisms to promote confidence in its fairness. This article presents a tool of one such mechanism that combines the randomness provided by hash functions with active social engagement. Each stakeholder in a legal proceeding contribute with his/her own share to the drawing, so that fairness is achieved if at least one entity is honest. Any interested party can audit a drawing using only public information, and misconduct of any party can be traced back to the culprit as soon as the result is computed. Our open-source implementation provides security by design, not depending on the secrecy of its component to attain all the required security properties.
Reports on the topic "OpenCV library too"
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Heger, Karl. iqa - image quality analysis. GEOMAR, 2025. https://doi.org/10.3289/sw_1_2025.
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Short description of the research software : A C++ library to analyze image quality. Detect e.g. if an image is over-/underexposed, blurry or contains little information. iqa is based on OpenVC and can utilize your GPU for a great performance boost. To do so you only need OpenCV built with Cuda support. Everything else is handled by iqa - no need for your code to change.
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Li, Chan, Becky Miller, and Mohamed Hamed. Library Impact Research Report: Open Access Publishing: A Study of UC Berkeley Faculty Views and Practices. Association of Research Libraries, 2023. http://dx.doi.org/10.29242/report.ucberkeley2023.
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As part of ARL’s Research Library Impact Framework initiative, a team at the University of California (UC) Berkeley Library studied the relationship between faculty’s attitudes toward open access (OA) and their OA publishing practices, including the roles of funding availability and discipline. The project team compared UC Berkeley faculty’s answers to questions related to OA from the 2018 Ithaka S+R Faculty Survey with the faculty’s scholarly output in the Scopus database. The study focused on gold OA articles, which usually require authors to pay article processing charges (APCs) and which accounted for 18% of the publications in the sample. Overall, the UC Berkeley study found a positive correlation between publishing gold OA and the faculty’s support for OA (no cost to read). In contrast, the correlation between publishing gold OA and the faculty’s concern about publishing cost was weak. Publishing costs concerned faculty in all subject areas, whether or not their articles reported research funding. Thus, UC Berkeley Library’s efforts to pursue transformative publishing agreements and prioritize funding for a program subsidizing publishing fees seem like effective strategies to increase OA.
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Slone, Scott, Marissa Torres, Alexander Stott, Ethan Thomas, and Robert Ibey. CRREL Environmental Wind Tunnel upgrades and the Snowstorm Library. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48077.
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Environmental wind tunnels are ideal for basic research and applied physical modeling of atmospheric conditions and turbulent wind flow. The Cold Regions Research and Engineering Laboratory's own Environmental Wind Tunnel (EWT)—an open-circuit suction wind tunnel—has been historically used for snowdrift modeling. Recently the EWT has gone through several upgrades, namely the three-axis chassis motors, variable frequency drive, and probe and data acquisition systems. The upgraded wind tunnel was used to simulate various snowstorm conditions to produce a library of images for training machine learning models. Various objects and backgrounds were tested in snowy test conditions and no-snow control conditions, producing a total of 1.4 million training images. This training library can lead to improved machine learning models for image-cleanup and noise-reduction purposes for Army operations in snowy environments.
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Selman, Brianne. Open Scholarship @ UWinnipeg. University of Winnipeg, 2025. https://doi.org/10.36939/ir.202501291330.
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At UWinnipeg, we prioritize student success, offer outstanding academic research programs and opportunities for students, support Indigenous achievement, embrace inclusivity, and foster meaningful connections on campus and across community. Open Scholarship is a necessary and central part of this work, as it makes our teaching and research expertise available freely, globally, and welcomes everyone into the conversations happening at our University. Across the UWinnipeg campus there are many projects and initiatives occurring to increase access to teaching, research, and knowledge. Some of these are connected with The Library and Research Office, some of these are occurring in departments or in other siloed locations. Many of these initiatives are great as is and don't need to scale up, but many projects could benefit from having 1. Larger campus awareness and championing, in order to involve more people more effectively 2. Some form of sustainable resourcing and 3. Policy support in key areas.
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Nagle, Frank, Kate Powell, Richie Zitomer, and David A. Wheeler. Census III of Free and Open Source Software: Application Libraries. The Linux Foundation, 2024. https://doi.org/10.70828/jrpb8299.
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What are the most commonly used free and open source software (FOSS) packages? In this report, LF Research partnered with OpenSSF and the Laboratory for Innovation Science at Harvard to study the most common packages used at the application library level. With data from Software Composition Analysis partners FOSSA, Snyk, Sonatype, and Black Duck, the investigators captured detailed results of FOSS usage and key patterns of this usage that will help enhance the security of these packages.
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Hoshi Larsson, Kaori. Do LiU researchers publish data – and where? Dataset analysis using ODDPub. Linköping University Electronic Press, 2025. https://doi.org/10.3384/report-119790.
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Swedish researchers are encouraged to share their research data, with a government goal for all publicly funded research to provide open research data by 2026. Hoshi Larsson (2023) investigated the extent and location of research data from LiU researchers. However, the search was limited to datasets with DOIs listed in DataCite Commons, suggesting that many datasets were excluded in the investigation. Therefore, the purpose of this study is to identify, through articles’ descriptions of open data, to what extent LiU’s researchers are sharing their research data and open code, and if so, which repositories they use for sharing data. This report analyzed LiU articles parallel published in the institute's repository DiVA in 2022 using the ODDPub text-mining algorithm to determine the extent and repositories of LiU researcher’s open research data. The results showed that approximately 10 percent of the articles mentioned data availability, and almost two thirds of the openly shared datasets were in subject-specific repositories. Furthermore, approximately 80% of the total number of repositories used for sharing research data were subject-specific repositories. Additionally, 90 percent of LiU's parallel published articles did not mention data availability. The mismatch between data sharing articles detected in Hoshi Larsson (2023) and in this report suggests that findability remains low. The university library should guide researchers on the benefits of data sharing and the importance of findability and provide support in making their research data accessible.
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Ayoul-Guilmard, Q., S. Ganesh, F. Nobile, et al. D1.4 Final public Release of the solver. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.009.
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This deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel remeshing in ParMmg. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is “a Python library for parallel, adaptive, hierarchical Monte Carlo algorithms, aiming at reliability, modularity, extensibility and high performance“. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation. ParMmg is an open source software which offers the parallel mesh adaptation of three dimensional volume meshes.
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Nagle, Frank, James Dana, Jennifer Hoffman, Steven Randazzo, and Yanuo Zhou. Census II of Free and Open Source Software — Application Libraries. The Linux Foundation, 2022. https://doi.org/10.70828/kheh5209.
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Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data from partner Software Composition Analysis (SCA) companies including Snyk, the Synopsys Cybersecurity Research Center (CyRC), and FOSSA. The aggregated data includes over half a million observations of FOSS libraries used in production applications at thousands of companies, aiming to shed light on the most commonly used FOSS packages at the application library level. This effort builds on the Census I report that focused on the lower level critical operating system libraries and utilities, improving our understanding of the FOSS packages that software applications rely on. Such insights will help identify critical FOSS packages to allow resource prioritization to address security issues in this widely used software.
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Ruttenberg, Judy, Shawna Taylor, Micah Vandegrift, and Cynthia Hudson Vitale. Accelerating Social Impact Research: Libraries at the Intersection of Openness and Community-Engaged Scholarship. Association of Research Libraries, 2022. http://dx.doi.org/10.29242/report.asirjune2022.
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This is the first report of a six-month pilot cohort program from 2021, Accelerating the Social Impact of Research (ASIR). The pilot engaged small teams from eight ARL member libraries who wanted to share strategies to accelerate the adoption and implementation of open-science principles for social-impact research and scholarship. The report, Accelerating Social Impact Research: Libraries at the Intersection of Openness and Community-Engaged Scholarship, sets the context for this confluence, draws examples from the participating members of the cohort, and identifies the opportunities available for research library leaders. The next installments of this publication series will include additional profiles of the cohort libraries and how they are advancing open scholarship and community engagement.
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Ugarcina Perovic, Svetlana, Vedanth Ramji, Hui Chong, Yiqian Duan, and Luis Pedro Coelho. argNorm: Normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO). Queensland University of Technology, 2024. http://dx.doi.org/10.5204/rep.eprints.252448.
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Motivation: Currently available and frequently used tools for annotating antimicrobial resistance genes (ARGs) in genomes and metagenomes provide results using inconsistent nomenclature. This makes the comparison of different ARG annotation outputs challenging. The comparability of ARG annotation outputs can be improved by mapping gene names and their categories to a common controlled vocabulary such as the Antibiotic Resistance Ontology (ARO). Results: We developed argNorm, a command line tool and Python library, to normalize all detected genes across 6 ARG annotation tools (8 databases) to the ARO. argNorm also adds information to the outputs using the same ARG categorization so that they are comparable across tools. Availability and implementation: argNorm is available as an open-source tool at: https://github.com/BigDataBiology/argNorm. It can also be downloaded as a PyPI package and is available on Bioconda and as an nf-core module.