Academic literature on the topic 'Video Graphics Array (VGA)'
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Journal articles on the topic "Video Graphics Array (VGA)"
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Sutisna, Mochammad Arief, Ryan Aryadi, and Hendarto. "APLIKASI TESTING INTERFACE VIDEO GRAPHICS ARRAY CARD MENGGUNAKAN VB.NET." Jurnal Sibernetika 8, no. 2 (2024): 1–7. https://doi.org/10.56459/sibernetika.v8i2.62.
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Satu dari banyaknya kendala dalam sebuah VGA (Video Graphics Array) adalah tidak terpasangnya driver. Seringkali ketika seseorang membeli laptop baru tetapi driver yang terinstall pada laptop tersebut tidak sempurna, sehingga ketika pengguna tersebut ingin menggunakan laptop sesuai kebutuhan seperti mengedit video, bermain game, atau kegiatan lain yang membutuhkan kerja sebuah VGA maka kegiatan tersebut tidak akan berjalan lancar. Penelitian ini bertujuan untuk untuk melakukan pengecekan pada sebuah video grafis dalam sebuah laptop ataupun komputer, aplikasi ini dilengkapi dengan fitur yang memudahkan pengguna untuk mencari informasi pada sebuah kartu grafis. Aplikasi ini dibangun dengan menggunakan metode pengembangan SDLC (System Development Life Cycle) Model Fountain, yang meliputi tahap analisa masalah, spesifikasi kebutuhan, perancangan, koding, testing dan integrasi sistem, dan pengoperasian. Perawatan dan perubahan sistem diperlukan agar sistem dapat berfungsi sesuai tujuannya. Manfaat diterapkannya model fountain adalah beberapa jenis tahapan boleh didahulukan atau dilewati, walaupun ada salah satu tahapan seperti implementasi, yang tidak bisa didahulukan sebelum membuat rancangan. Hasil penelitian ini adalah agar para pengguna laptop atau komputer lebih memahami spesifikasi lengkap pada VGA yang digunakannya. Selain itu, aplikasi ini memberikan feedback visual dan laporan hasil pengujian yang dapat membantu pengguna dalam memahami performa VGA Card yang diuji.
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Liang, Chun Feng, Bing Chan Li, Yan Fa Tang, and Hong Liang Sun. "Multichannel Computer Screen Recording System Based on FPGA and ARM." Applied Mechanics and Materials 446-447 (November 2013): 1171–77. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1171.
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A multichannel computer screen recording system based on Field Programmable Gate Array (FPGA) and Advanced RISC Machines (ARM) is introduced in this paper. This system has both Video Graphics Array (VGA) and Digital Video Interface (DVI) inputs, and supports the resolution of 1920x1080 and any common resolutions that do not exceed 1600x1200. The system can simultaneously record VGA and DVI signal by using the FPGA as the MUX of VGA and DVI. The experimental results showed that the algorithm used in this system, which combined the wavelet transform and listless zerotree entropy coding, achieved significantly higher quality of the decoded images than JPEG with the same compression ratio. The mapping of FPGA to SRAM method ensures the bit stream band width between FPGA and ARM. With the compression ratio of 50, the system can record 20 frames per second at the resolution of 1600x1200.
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Adrian, Yosef, Rachel Caroline Lesmana, and Sudimanto. "Analisis Performa pada Video Graphic Array (VGA) Nvidia GTX 950M DDR3 dan Nvidia GTX 950M GDDR5." Media Informatika 20, no. 2 (2021): 91–96. http://dx.doi.org/10.37595/mediainfo.v20i2.74.
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Video Graphic Array card (VGA) berfungsi untuk memproses data grafik atau sinyal digital pada komputer lalu kemudian sinyal grafik tersebut ditransfer ke layar monitor. VGA card yang dipakai untuk benchmark adalah NVIDIA GTX 950M GDDR5 dan NVIDIA GTX 950M DDR3. VGA card ini cukup diminati karena harga yang terjangkau serta performa yang tinggi dimana kartu grafis ini sudah mempunyai lebar jalur data (bus width) sebesar 128 bit serta terdiri dari varian DDR3 dan GDDR5. Pengambilan data spesifikasi dan performa diambil dari situs Jagat Review Gatot Tri [9] dan Notebookcheck Otshoff [8] yang mana dari data tersebut akan dilakukan analisa terhadap hasil benchmark yang didapat. Berdasarkan data dari spesifikasi dan benchmarking VGA card yang diperoleh, diketahui bahwa perbedaan Double-Data-Rate (DDR) pada Video Random Access Memory (VRAM) berpengaruh besar pada proses merender dan menampilkan gambar. VGA card memiliki komponen-komponen yang saling bekerja sama secara sederhana yaitu chip GPU, besar VRAM, dan tipe DDR. Oleh karena itu, perbedaan tipe DDR pada sebuah VGA card merupakan hal penting dalam performansi sebuah kartu grafis.
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Yum, Joohyuk, Jin-Sung Kim, and Hyuk-Jae Lee. "Fast Execution of an ASIFT Hardware Accelerator by Prior Data Processing." Electronics 8, no. 10 (2019): 1176. http://dx.doi.org/10.3390/electronics8101176.
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This paper proposes a new ASIFT hardware architecture that processes a Video Graphics Array (VGA)-sized (640 × 480) video in real time. The previous ASIFT accelerator suffers from low utilization because affine transformed images are computed repeatedly. In order to improve hardware utilization, the proposed hardware architecture adopts two schemes to increase the utilization of a bottleneck hardware module. The first is a prior anti-aliasing scheme, and the second is a prior down-scaling scheme. In the proposed method, 1 × 1 and 0.5 × 1 blurred images are generated and they are reused for creating various affine transformed images. Thanks to the proposed schemes, the utilization drop by waiting for the affine transform is significantly decreased, and consequently, the operation speed is increased substantially. Experimental results show that the proposed ASIFT hardware accelerator processes a VGA-sized video at the speed of 28 frames/s, which is 1.36 times faster than that of previous work.
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Zhang, Kai, Jihao Gao, YunFei Wang, and MingLiang Liang. "Hardware Realization of Kinematic Mechanism and Control System of Multifunctional Industrial Robot." Security and Communication Networks 2022 (September 10, 2022): 1–5. http://dx.doi.org/10.1155/2022/1940708.
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In order to improve the position control accuracy of industrial robots and solve the problems of poor real-time and reconfigurability of traditional motion controllers, a hardware implementation method for the motion mechanism and control system of multi-functional industrial robots is proposed. The video acquisition system is suitable for infrared detectors containing 4 channels or readout circuits in 4 channels. The video display system is compatible with the old AV/S-Video interface, and is also suitable for computer system video graphics array (VGA) analog video interface and high-definition video interface. Multimedia Interface (HDMI) digital high-definition video interface display terminal equipment. The hardware circuit of video acquisition and corresponding video interface image output is designed, including signal amplification circuit, analog-to-digital conversion circuit, video information buffer circuit, video display digital-to-analog conversion circuit, and interface hardware circuit, to realize the digitization of image information acquisition and image information. Display simulation, construct VGA, AV/S-Video, and HDMI timing sequence with hardware description language through Field programmable gate array (FPGA) to complete the display of corresponding terminal equipment. The experimental results show that the experimental data was substituted into the formula and the variance σ = 0.09 mm was found, indicating that the detection error of the system is less than 0.27 mm, which meets the detection requirements. Through the 3D contour reconstruction experiment of the workpiece, the expected function realization of each module is proved, and the feasibility of the system software and hardware system is verified. This design has good scalability and stability, reducing labor costs.
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Yusuf Effendi, Rizal Maulana, Septi Andryana, and Ratih Titi Komala Sari. "Sistem Pakar Diagnosa Kerusakan VGA dengan Metode Certainty Factor dan Algoritma K-Nearest Neighbor (K-NN)." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 4, no. 2 (2020): 79. http://dx.doi.org/10.35870/jtik.v5i1.168.
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VGA (Video Graphics Array) is a Video adapter which is very useful for improving the performance and quality of the visual process on a computer, but sometimes there is often a malfunction that cannot be identified the type of damage. The problem is the lack of media to identify the damage that occurs during visual processing. Therefore, the authors created an expert system that can diagnose the type of damage to VGA using the Certainty Factor method as a calculation, using UML modeling as the work process flow of the system on the website, and also equipped with the KNN (K-Nearest Neighbor) algorithm as machine learning. so that it can build an expert system with the PHP programming language MySQL database. The method used in testing is the black box method in testing the system used. The results that can be concluded from this study are; 1) The diagnostic system for detecting damage to the VGA uses the K-Nearest Neighbor Algorithm as machine learning and the Certainty Factor Method as a calculation medium in determining the distance from the type of damage and has suggestions for further actions to deal with and prevent the damage from occurring and also has other possible damage things that are similar to the damage suffered can be accessed quickly and easily to understand, in making scientific research carried out sequentially to facilitate the process, and 2) In addition to diagnosing, there are several additional menus that can be accessed such as the Prediction menu which functions to displays the max and min limits of the temperature of a product, Product Info which functions as a quality product recommendation, and a description that contains a post of details of the damage that can be studied and is expected to help users find solutions to their problems.Keywords:Expert System, PHP, Certainty Factors, Machine learning, K-NN.
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Kubiak and Przybysz. "The Effectiveness of TMDS Coding in Counteracting the Non-Invasive Acquisition of Graphic Data." Electronics 8, no. 10 (2019): 1063. http://dx.doi.org/10.3390/electronics8101063.
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Modern video display terminals commonly use digital video signals. Transition minimized differential signaling (TMDS) coding implemented in video signal transmission using DVI (Digital Visual Interface) standard is commonly used. The aim of the coding scheme adopted by this solution is to eliminate the constant component of the electrical signal, increase the resistance to electromagnetic (EM) interference, and reduce electronic interference between cables. Professionals and hobbyists interested in the problems relating to protecting information against electromagnetic infiltration believe that TMDS coding, in contrast to the VGA (Video Graphics Array) analogue standard, significantly improves the electromagnetic security of processed graphic information. This paper shows a comparison of the abovementioned standards in terms of information protection against electromagnetic infiltration. The paper presents the results of computer simulations and studies dealing with practical compromising emanations for DVI standard and its susceptibility to electromagnetic radiation spying. The obtained results show that the commonly expressed ideas of digital standards being fully secure are false. The obtained test results show that the level of electromagnetic protection can be increased by using appropriate pairs of colors for the text and background. This solution has to be connected with a mode that smooths the edges of graphic signs. Then, the number of frequencies in which valuable emissions exist can be limited. In this paper, pairs of colors for which the level of protection of information can be increased are shown. The authors present their analyses on the basis of the method of colors. The method is connected to possibilities of selection of smoothing modes of edges. As Windows is the most commonly used system in classified work stations (so-called TEMPEST computers), this operating system was considered from the viewpoint of the protection of processed information.
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Susliansyah, Susliansyah, Ririn Restu Aria, and Susi Susilowati. "SISTEM PEMILIHAN LAPTOP TERBAIK DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT (WP)." Jurnal Techno Nusa Mandiri 16, no. 1 (2019): 15–20. http://dx.doi.org/10.33480/techno.v16i1.105.
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The Weighted Product method requires a normalization process because this method assumes the results of evaluating each attribute. The results of these multiplications have not been meaningful if they have not been compared (divided) with standard values. The weight for the benefit attribute functions as a positive power in the multiplication process, while the weight of the cost functions as a negative rank. The Weighted Product method uses multiplication as a linking attribute rating, where the rating of each attribute must be raised first with the corresponding weight. Weighting Product Weighted method is calculated based on the level of importance. This system requires input weight values based on prospective buyers' needs in the form of prices, RAM capacity, processor type, Harddisk capacity, and VGA (Video Graphics Array). The results of this study provide laptop recommendations according to specification requirements for prospective buyers with 100% calculation accuracy based on manual calculations and calculations on laptop selection decision support systems.
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Manullang, Abdiel Pandapotan, Alan Prahutama, and Rukun Santoso. "PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN WEIGHTED PRODUCT (WP) DALAM SISTEM PENUNJANG PEMILIHAN LAPTOP TERFAVORIT MENGGUNAKAN GUI MATLAB." Jurnal Gaussian 7, no. 1 (2018): 11–22. http://dx.doi.org/10.14710/j.gauss.v7i1.26631.
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Laptops have become an important requirement for most students is to support educational activities and business activities. The number of brands of laptops or types of laptops that exist makes consumers especially students have their own preferences in choosing a laptop. The method can be used to select the favorite laptop are SAW (Simple Additive weighting) and WP (Weighted Product). Both of these methods are the methods used to solve the problem of MADM (Multi Attribute Decision Making). There are 30 types of laptops that will be used in the selection of the favorite laptops.For the selection criteria for the type of laptop that is priced, RAM (Random Access Memory), HDD (hard drive), a processor, a VGA (Video Graphics Array), weight, color, screen size, service centers, warranty, availability of spare parts, battery capacity, equipped with OS and application software. Selection of the favorite type of laptop is done with the help of MATLAB (Graphical User Interface) GUI (Matrix Laboratory) as a computing tool. SAW method and WP, in this research showed the same results that the most favored type of laptop laptop mode DEL INSPIRON 15Z-5523 with a value preference for SAW method amounted to 0.9518 while the WP method amounted to 0.9511.Keywords: SAW, WP, Laptop, favorite, GUI
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Zhang, Lei, and Xiaoli Zhi. "A Fast and Lightweight Method with Feature Fusion and Multi-Context for Face Detection." Future Internet 10, no. 8 (2018): 80. http://dx.doi.org/10.3390/fi10080080.
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Convolutional neural networks (CNN for short) have made great progress in face detection. They mostly take computation intensive networks as the backbone in order to obtain high precision, and they cannot get a good detection speed without the support of high-performance GPUs (Graphics Processing Units). This limits CNN-based face detection algorithms in real applications, especially in some speed dependent ones. To alleviate this problem, we propose a lightweight face detector in this paper, which takes a fast residual network as backbone. Our method can run fast even on cheap and ordinary GPUs. To guarantee its detection precision, multi-scale features and multi-context are fully exploited in efficient ways. Specifically, feature fusion is used to obtain semantic strongly multi-scale features firstly. Then multi-context including both local and global context is added to these multi-scale features without extra computational burden. The local context is added through a depthwise separable convolution based approach, and the global context by a simple global average pooling way. Experimental results show that our method can run at about 110 fps on VGA (Video Graphics Array)-resolution images, while still maintaining competitive precision on WIDER FACE and FDDB (Face Detection Data Set and Benchmark) datasets as compared with its state-of-the-art counterparts.
Book chapters on the topic "Video Graphics Array (VGA)"
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Gazi, Orhan, and A. Çağrı Arlı. "Video Graphic Array (VGA) and HDMI Interfacing." In State Machines using VHDL. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61698-4_6.
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Torrisi-Steele, Geraldine. "Theoretical Foundations for Educational Multimedia." In Encyclopedia of Multimedia Technology and Networking, Second Edition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch188.
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The notion of using technology for educational purposes is not new. In fact, it can be traced back to the early 1900s during which time school museums were used to distribute portable exhibits. This was the beginning of the visual education movement that persisted through the 1930s as advances in technology such as radio and sound motion pictures continued. The training needs of World War II stimulated serious growth in the audiovisual instruction movement. Instructional television arrived in the 1950s, but had little impact, mainly due to the expense of installing and maintaining systems. The advent of computers in the 1950s laid the foundation for CAI (computer assisted instruction) through the 1960s and 1970s. However, it was not until the 1980s that computers began to make a major impact in education (Reiser, 2001). Early applications of computer resources included the use of primitive simulation. These early simulations had little graphic capabilities and did little to enhance the learning experience (Munro, 2000). Since the 1990s, there have been rapid advances in computer technologies in the area of multimedia production tools, delivery, and storage devices. Throughout the 1990s, numerous CD-ROM educational multimedia software was produced and was used in educational settings. More recently, the advent of the World Wide Web (WWW), together with the emergence of mobile devices and wireless networking, has opened a vast array of possibilities for the use of multimedia technologies and associated information and communications technologies (ICT) to enrich the learning environment. Today, educational institutions are investing considerable effort and money into the use of multimedia. The use of multimedia technologies in educational institutions is seen as necessary for keeping education relevant to the twenty-first century (Selwyn & Gordard, 2003). The term “multimedia” as used in this article refers any technologies which make possible “the entirely digital delivery of content presented by using an integrated combination of audio, video, images (twodimensional, three-dimensional) and text” along with the capacity to support user interaction (Torrisi-Steele, 2004, p. 24). Multimedia may be delivered on computer via CD-ROM, DVD, the Internet, or on other devices such as mobile phones and personal digital assistants, or any digital device capable of supporting interactive and integrated delivery of digital audio, video, image, and text data. The notion of interaction in educational multimedia may be viewed from two perspectives. First, interaction may be conceptualised in terms of “the capacity of the system to allow individual to control the pace of presentation and to make choices about which pathways are followed to move through the content; and the ability of the system to accept input from the user and provide appropriate feedback to that input” (Torrisi- Steele, 2004, p. 24). Second, given the integration of multimedia with communication technologies, interaction may be conceptualized as communication among individuals (teacher-learner and learner(s)-learner(s)) in the learning space that is made possible by technology (e-mail, chat, video-conferencing, threaded discussion groups, and so on).
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Sinha, Sayak, Sourajit Datta, Raghvendra Kumar, Sudipta Bhattacharya, Arijit Sarkar, and Kunal Das. "Exploring Creativity." In The Pioneering Applications of Generative AI. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3278-8.ch008.
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Generative AI, often known as genAI, encompasses several forms of artificial intelligence (AI) that has the ability to create unique text, images, video, or audio content. This particular iteration of artificial intelligence acquires knowledge of patterns and data arrangement from its training data, enabling it to produce novel outputs that possess similar statistical characteristics. Generative AI has a diverse range of applications, and each task requires a specialized deep-learning architecture to effectively capture the unique patterns and traits found in the training data. Generative AI models encompass various types, including generative adversarial networks (GANs), variational autoencoders (VAEs), transformers, diffusion models, normalizing flow models, and hybrid models. The configuration of a generative AI model is contingent upon the particular task and domain, encompassing elements such as the neural network's architecture, training approach, loss function, and evaluation metrics. The primary objective of generative AI is to develop autonomous systems capable of generating content that is indiscernible from information created by humans. This encompasses the production of written content, visual graphics, audio recordings, and interactive visual components. Attaining this objective would facilitate a diverse array of applications, encompassing enhanced human-computer interactions and assisting in the advancement of endeavors such as art and storytelling.
Conference papers on the topic "Video Graphics Array (VGA)"
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Ahlgren, David R., Hasan Gadjali, and Leonard G. Roberts. "Compressing PC/AT-Based Video Graphics Array (VGA) Images." In 33rd Annual Techincal Symposium, edited by Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.962308.
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Fall, Everett, Kai-Wei Chang, and Liang-Gee Chen. "Dynamically Expanded CNN Array for Video Coding." In ICIGP 2020: 2020 3rd International Conference on Image and Graphics Processing. ACM, 2020. http://dx.doi.org/10.1145/3383812.3383825.
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Endoh, Tsutomu, Shigeru Tohyama, Takao Yamazaki та ін. "Uncooled infrared detector with 12μm pixel pitch video graphics array". У SPIE Defense, Security, and Sensing, редактори Bjørn F. Andresen, Gabor F. Fulop, Charles M. Hanson, Paul R. Norton та Patrick Robert. SPIE, 2013. http://dx.doi.org/10.1117/12.2013690.
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Vozenilek, E. F. "ZA: a program for accessing ZAPP/PC data files." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.thc4.
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The ZAPP/PC system records interferograms through a video frame grabber. Its processing options include the ability to record binary files that contain video intensity data, fringe center locations, wavefront phase maps on a uniform grid or Zernike coefficients. A utility program, called ZA, was developed at SGT to allow additional data processing capabilities. ZA allows the user to access all the ZAPP/PC binary file types for processing on an IBM compatible personal computer that has EGA or VGA color graphics capability. ZAPP/PC software is not needed for this off-line processing. Video intensity files and phase map files can be displayed in false color on the computer monitor, including all file identification fields. An option is provided to store the phase map on disk as a video intensity file, with encoded peak to valley and contour step size graphics. This file can be displayed on the ZAPP/PC TV monitor, and hard copies are produced on the video thermal printer. Phase map data are processed to provide phase gradient statistics and plots. ZA is written in MICROSOFT QUICKBASIC 4.5.
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Medvedev, Vladimir, David Pelka, and William Parkyn. "A Novel TIR Lens for Uniform Backlighting of 0.25" LCDs." In International Optical Design Conference. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/iodc.1998.ltud.1.
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We present a new type of total-internal-reflection (TIR) lens, which collimates the light from a monochrome, or RGB, LED array. This new design enables the fabrication of a miniature LED backlight suitable for the next generation of cell-phone and pager displays, as well as in digital cameras and video recorders. Their full-page VGA resolution and long eye relief daylight viewing demand high brightness, while their small size and low power budget demand high efficiency over a narrow solid angle of LCD illumination. The design presented here fulfills these requirements cost-effectively, and is suitable for large-scale manufacturing.
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Goto, Masahide, Yuki Honda, Toshihisa Watabe, et al. "Quarter Video Graphics Array Full-Digital Image Sensing with Wide Dynamic Range and Linear Output Using Pixel-Wise 3D Integration." In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351002.
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Yakimenko, Yu I., and I. V. Yakimenko. "Method of Optical Information Support for Detecting Artifacts by f Robotic System in the Infa-red Range on a Complex Background." In 33rd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/graphicon-2023-517-524.
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A method is proposed for opto-information support for detection in the infrared range using a passive optoelectronic system of an unmanned aircraft against a complex background formed by atmospheric radiation in the far infrared range (8–13 ?m). The atmospheric background against which an unmanned aerial vehicle is detected is formed by the radiation of the cloudy atmosphere when observed from the earth's surface. Of particular interest is the complex background created by cumulus clouds of various magnitudes or other classes of clouds that have breaks. The following assumptions are made: a short-focus optical-electronic system has a wide field of view, video information about the artifact and the background characteristic is presented in binary form. The processed video stream is a two-dimensional array, the elements of which contain information about the level of radiance of the radiation in the selected direction. The emphasis is on the need to monitor changes in the structure of the emitting background and the absence of the need to process each frame of the video stream.
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Kukkonen, Heljä, Jyrki Rovamo, Kaisa Tiippana, and Risto Näsänen. "Contrast thresholds for gratings in spatial noise with various picture element areas and shapes." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thb2.
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It is generally believed that the signal-to-noise ratio at the detection threshold is constant for noisy stimuli. We tested whether this is also true when the spatial structure of noise varies. We measured contrast thresholds for vertical cosine gratings embedded in two-dimensional spatial noise. Stimuli were generated under computer control on a RGB monitor using a super VGA graphics board and a video summation device. Gratings were produced by using a constant pixel size of 0.042 × 0.042 cm2. The spatial structure of noise was varied by changing the width and/or height of the noise picture element (pel). However, noise spectral density, equal to pel area (pel x × pel y ) multiplied by noise RMS-contrast squared (cn2), was kept constant. Noise was white in the frequency range of the gratings used, and its spectral density was always great enough to allow us to ignore the internal noise of our visual system. The contrast thresholds were determined by a two-alternative forced-choice algorithm. According to our results, neither pel area nor shape had any effect on contrast thresholds or efficiency as long as noise spectral density did not change. Our experiments showed that, irrespective of noise picture element area or shape, the signal-to-noise ratio at contrast threshold was constant for gratings in spatial noise.