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Artículos de revistas sobre el tema "System hardware"

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Publicado: 7 de junio de 2025
Última modificación: 2 de agosto de 2025

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1

Rajpoot, Mr Amit Kumar, and Mr Ashish Anand. "IT Hardware Management System." International Journal of Research Publication and Reviews 6, no. 3 (2025): 7009–13. https://doi.org/10.55248/gengpi.6.0325.12114.

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2

Choi, Jin-Suk, and Young-Sam Lee. "The Implementation of a Hardware-In-The-Loop Simulator for an Inverted Pendulum System Using Open-Source Hardware." Journal of Institute of Control, Robotics and Systems 23, no. 2 (2017): 117–25. http://dx.doi.org/10.5302/j.icros.2017.17.0002.

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3

Kornstein, Howard. "Microprocessor system hardware." Microprocessors and Microsystems 11, no. 1 (1987): 43–44. http://dx.doi.org/10.1016/0141-9331(87)90329-2.

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4

Reddy Proddutoori, Apoorva. "Robust Decoder Hardware System Improvements for Tuned Predictions." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 1755–57. http://dx.doi.org/10.21275/sr241023062322.

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5

Makino, Junichiro, and Yoko Funato. "The GRAPE Software System." Publications of the Astronomical Society of Japan 45, no. 3 (1993): 279–88. https://doi.org/10.1093/pasj/45.3.279.

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Abstract We describe the software system used for GRAPE processors, special-purpose computers for gravitational N-body simulations. In gravitational N-body simulations, almost all of the calculation time is spent to calculate the gravitational force between particles. The GRAPE hardware calculates the gravitational force between particles using hardwired pipelines with a speed in the range of 100 Mflops to 10 Gflops, depending on the model. All GRAPE hardware systems are connected to general-purpose workstations, on which the user program runs. In order to use the GRAPE hardware, a user progra
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6

Hikage, Tomofumi, Hitoshi Hemmi, and Katsunori Shimohara. "Hardware evolution system AdAM." Communications of the ACM 42, no. 4 (1999): 64–65. http://dx.doi.org/10.1145/299157.299870.

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7

Loveless, R., P. Erhard, J. Ficenec, et al. "ZEUS hardware control system." Computer Physics Communications 57, no. 1-3 (1989): 313–15. http://dx.doi.org/10.1016/0010-4655(89)90234-8.

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8

Borum, J. C., J. Janik, R. F. Metz, J. Russell, D. P. Smith, and E. J. Theriot. "The5ESSSwitching System: Hardware Design." AT&T Technical Journal 64, no. 6 (1985): 1417–37. http://dx.doi.org/10.1002/j.1538-7305.1985.tb00281.x.

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9

Göhringer, Diana, Michael Hübner, Etienne Nguepi Zeutebouo, and Jürgen Becker. "Operating System for Runtime Reconfigurable Multiprocessor Systems." International Journal of Reconfigurable Computing 2011 (2011): 1–16. http://dx.doi.org/10.1155/2011/121353.

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Operating systems traditionally handle the task scheduling of one or more application instances on processor-like hardware architectures. RAMPSoC, a novel runtime adaptive multiprocessor System-on-Chip, exploits the dynamic reconfiguration on FPGAs to generate, start and terminate hardware and software tasks. The hardware tasks have to be transferred to the reconfigurable hardware via a configuration access port. The software tasks can be loaded into the local memory of the respective IP core either via the configuration access port or via the on-chip communication infrastructure (e.g. a Netwo
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10

RODRÍGUEZ, ANA, TANIA SABOGAL CÁCERES, and EVER FUENTES ROJAS. "SISTEMA DE GESTIÓN DE INVENTARIOS PARA COMPAÑÍAS DE HARDWARE - CASO DE ESTUDIO." Revista Ingeniería, Matemáticas y Ciencias de la Información 16, no. 8 (2021): 27–36. http://dx.doi.org/10.21017/rimci.2021.v8.n16.a99.

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Some hardware assembly and marketing companies do not apply proper inventory management, causing failures in the product records, which can lead to shortages if there is an unexpected high demand, affecting the costs of ledgers and generating the need for an inventory management system. For this purpose, a methodological process was carried out, starting with the diagnosis, identifying the main factors that need to be improved concerning the management of merchandise, such as lack of inventory policies or reorder level, found through tools such as the SWOT, Ishikawa Diagram and Vester Matrix.
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11

Svystun, Oksana, and Iryna Yurchak. "Recommendation Dialog System for Selecting the Computer Hardware Configuration." Advances in Cyber-Physical Systems 6, no. 1 (2021): 70–76. http://dx.doi.org/10.23939/acps2021.01.070.

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The development of modern technologies is extremely fast. Every day more and more new and various means appear in the world to improve the quality of life and more. It is not possible for a person to process all this new information on the scale and speed with which this information appears. Everyone has their own preferences and wants to receive and obtain information about certain events or things that they are interested in. This has become one of the most important reasons for creating referral systems. The purpose of developing a recommended dialog system for selecting the computer hardwa
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12

Huff, Sid L. "Hardware distributor's strategic information system." Planning Review 16, no. 5 (1988): 32–37. http://dx.doi.org/10.1108/eb054235.

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13

Agrawal, P., and W. J. Dally. "A hardware logic simulation system." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 9, no. 1 (1990): 19–29. http://dx.doi.org/10.1109/43.45853.

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14

Takagi, N., and C. K. Wong. "A hardware sort-merge system." IBM Journal of Research and Development 29, no. 1 (1985): 49–67. http://dx.doi.org/10.1147/rd.291.0049.

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15

Nikhil, Rishiyur S. "Abstraction in hardware system design." Communications of the ACM 54, no. 10 (2011): 36–44. http://dx.doi.org/10.1145/2001269.2001284.

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16

Nikhil, Rishiyur S. "Abstraction in Hardware System Design." Queue 9, no. 8 (2011): 40–54. http://dx.doi.org/10.1145/2016036.2020861.

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17

Peel, Roger MA. "Transputer Hardware and System Design." Microprocessors and Microsystems 18, no. 3 (1994): 179. http://dx.doi.org/10.1016/0141-9331(94)90115-5.

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18

Srivastava, M. B., and R. W. Brodersen. "System level hardware module generation." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 3, no. 1 (1995): 20–35. http://dx.doi.org/10.1109/92.365451.

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19

Graff, F. N., C. E. Jeschke, C. R. Komp, B. E. Nevis, and D. W. Zdan. "The5ESSSwitching System: Physical Design/Hardware." AT&T Technical Journal 64, no. 6 (1985): 1439–83. http://dx.doi.org/10.1002/j.1538-7305.1985.tb00282.x.

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20

Manujlov, I. V., and P. S. Obuhov. "IMPLEMENTATION OF THE HARDWARE OF THE ENERGY-SAVING LIGHTING SYSTEM." European Journal of Natural History, no. 3 2022 (2022): 11–14. http://dx.doi.org/10.17513/ejnh.34272.

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21

Petrov, A. P., and G. E. Zhivlyuk. "WiCE – hardware." Transactions of the Krylov State Research Centre S-I, no. 1 (2021): 75–77. http://dx.doi.org/10.24937/2542-2324-2021-1-s-i-75-77.

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22

Park, Sanggyu, Do-sun Hong, and Soo-Ik Chae. "A hardware operating system kernel for multi-processor systems." IEICE Electronics Express 5, no. 9 (2008): 296–302. http://dx.doi.org/10.1587/elex.5.296.

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23

Haque, Jamal, M. Erturk, Huseyin Arslan, and Wilfrido Moreno. "Cognitive Aeronautical Communication System." International Journal of Interdisciplinary Telecommunications and Networking 3, no. 1 (2011): 20–35. http://dx.doi.org/10.4018/jitn.2011010102.

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The paper explores the system and architecture requirements for cognitive driven reconfigurable hardware for an aeronautical platform, such as commercial aircraft or high altitude platforms. With advances in components and processing hardware, mobile platforms are ideal candidates to have configurable hardware that can morph itself, given the location and available wireless service. This paper proposes a system for an intelligent self-configurable software and hardware solution for an aeronautical system.
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24

Eslava G., Sebastian, Carlos Sanchez, and Catalina Muñoz Morales. "A system level hardware/software partition of a mimo-ofdm system for systemc modeling." Ingenium Revista de la facultad de ingeniería 14, no. 28 (2013): 95. http://dx.doi.org/10.21500/01247492.1337.

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This paper presents the design process and description at the system level of a communication system based on Multiple Input-Multiple Output and Orthogonal Frequency Division Multiplexing (MIMO-OFDM). These are used in fourth generation (4G) systems, due to the performance improvement when facing rapidly changing wireless environments. Hardware/software partitioning is taken under consideration for the design, with developed criteria for measuring system performance. The design and validation of the system is made using SystemC language. This is part of a research work, carried out in order to
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25

LYSENKO, SERGII, OLGA ATAMANIUK, and OLEXANDER BOKHONKO. "METHOD OF CONSTRUCTING HARDWARE ARCHITECTURE FOR COMPUTER VISION SYSTEM BASED ON FPGA." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (2023): 360–68. http://dx.doi.org/10.31891/2307-5732-2023-319-1-360-368.

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In this work, the methodology of hardware architecture development for computer vision systems based on programmable logic, in particular FPGA, is considered. In the work, the methods of developing architectures for computer vision are studied and the advantages of using FPGA compared to traditional general-purpose processors are established. The paper also considers the main aspects of hardware design on FPGA, in particular, the selection of a suitable development tool, logic design, synthesis, and validation of the developed hardware. The capabilities of FPGAs in providing high performance a
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26

Dang, Khoa Le, An Truong Nguyen, Phu Huu Bui, and Phuong Huu Nguyen. "IMPLEMENTING AN OFDM SYSTEM ON HARDWARE." Science and Technology Development Journal 12, no. 12 (2009): 73–85. http://dx.doi.org/10.32508/stdj.v12i12.2322.

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Recently, OFDM technique has been applied to many digital communications systems such as DVB-T, WiFi, WiMAX and MIMO systems. OFDM can send multiple high speed signals by using orthogonal carrier frequencies. In addition, OFDM technique can combat inter-symbol interference (ISI) and inter-channel interference (ICI). Therefore, OFL has been an essential technology in high-speed communications. The aim of this project is to implement the base-band OFDM system on hardware exploiting FPGA-based DSP Development Kit and DSPBuilder® software from Altera®. The results can be used for training purpose
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27

KIM, Shinwook, and Tae-Gyu CHANG. "Neuromorphic Hardware Accelerated Lane Detection System." IEICE Transactions on Information and Systems E100.D, no. 12 (2017): 2871–75. http://dx.doi.org/10.1587/transinf.2017pal0004.

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28

Clarkson, Trevor, and Chi Kwong Ng. "Stand-Alone Hardware-Based Learning System." Japanese Journal of Applied Physics 34, Part 1, No. 2B (1995): 1050–55. http://dx.doi.org/10.1143/jjap.34.1050.

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29

Liu, A. C., and R. Parthasarathi. "Hardware monitoring of a multiprocessor system." IEEE Micro 9, no. 5 (1989): 44–51. http://dx.doi.org/10.1109/40.45826.

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30

Sumi, Mitsuaki, Kuniyasu Nakashima, and Mamomru Iwane. "Total Image Filing System for Hardware." Japanese Journal of Radiological Technology 52, no. 2 (1996): 285. http://dx.doi.org/10.6009/jjrt.kj00001354207.

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31

Akazawa, Kenzo. "Neuromuscular control system and hardware models." Advanced Robotics 5, no. 1 (1990): 75–85. http://dx.doi.org/10.1163/156855391x00089.

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32

Habata, Shinichi, Kazuhiko Umezawa, Mitsuo Yokokawa, and Shigemune Kitawaki. "Hardware system of the Earth Simulator." Parallel Computing 30, no. 12 (2004): 1287–313. http://dx.doi.org/10.1016/j.parco.2004.09.004.

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33

Zhi-hong, Liang, Luo Jian-zhen, and Liang Zhi-qiang. "System Recovery Testing of Hardware Firewall." Procedia Engineering 15 (2011): 4574–78. http://dx.doi.org/10.1016/j.proeng.2011.08.859.

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34

Cagliardi, C. A., E. A. Hawker, R. E. Tribble, et al. "Hardware trigger system for Fermilab E866." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 418, no. 2-3 (1998): 322–31. http://dx.doi.org/10.1016/s0168-9002(98)00903-6.

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35

Dragffy, G. "Hardware programmable VLSI emergency shutdown system." Reliability Engineering & System Safety 60, no. 3 (1998): 235–45. http://dx.doi.org/10.1016/s0951-8320(97)00143-9.

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36

Lavrent'ev, N. P., and V. G. Nikitaev. "Hardware for a computer vision system." Measurement Techniques 33, no. 12 (1990): 1182–84. http://dx.doi.org/10.1007/bf00981326.

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37

Das, Soumyadip, and Sumitra Mukhopadhyay. "FIL-DGA based hardware optimization system." Applied Soft Computing 72 (November 2018): 235–60. http://dx.doi.org/10.1016/j.asoc.2018.07.037.

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38

Carota, L., G. Indiveri, and V. Dante. "A software–hardware selective attention system." Neurocomputing 58-60 (June 2004): 647–53. http://dx.doi.org/10.1016/j.neucom.2004.01.109.

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39

Song, J. H., J. X. Wang, H. B. Tang, X. J. Mao, and B. Zhuo. "Diesel hybrid electric vehicle hardware system." International Journal of Automotive Technology 10, no. 4 (2009): 523–28. http://dx.doi.org/10.1007/s12239-009-0060-y.

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40

Kurokawa, T., and H. Yamashita. "Bus connected neural network hardware system." Electronics Letters 30, no. 12 (1994): 979–80. http://dx.doi.org/10.1049/el:19940666.

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41

Ruiz‐de‐Clavijo, P., E. Ostúa, J. Juan, M. J. Bellido, J. Viejo, and D. Guerrero. "NanoFS: a hardware‐oriented file system." Electronics Letters 49, no. 19 (2013): 1216–18. http://dx.doi.org/10.1049/el.2013.1961.

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42

Iwata, Masaya, Isamu Kajitani, Masahiro Murakawa, Yuji Hirao, Hitoshi Iba, and Tetsuya Higuchi. "Pattern recognition system using evolvable hardware." Systems and Computers in Japan 31, no. 4 (2000): 1–11. http://dx.doi.org/10.1002/(sici)1520-684x(200004)31:4<1::aid-scj1>3.0.co;2-k.

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43

MD, Shahnawaz Sakib, Danyaal Muhammad, and Bo Lili. "Hardware System Security: A Comprehensive Approach." International Journal of Computer Science and Information Technology Research 13, no. 1 (2025): 1–3. https://doi.org/10.5281/zenodo.14631605.

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<strong>Abstract:</strong> In today&rsquo;s digital landscape, safeguarding sensitive data and critical systems from hardware-based threats is crucial. This research proposes a multi-layered security framework to defend against physical attacks, supply chain vulnerabilities, and side-channel attacks. The framework integrates hardware-based security mechanisms, software countermeasures, and rigorous security management practices to provide comprehensive protection. <strong>Keywords:</strong> Hardware System Security, digital landscape, critical systems, multi-layered security. Framework. <stron
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44

Mukherji, Rana, and Manishita Das. "System Level Modeling Methodology of Application Specific Instruction Set Processor (Asip) Using Systemc." DIU Journal of Science & Technology 7, no. 1 (2024): 44–49. https://doi.org/10.5281/zenodo.13733703.

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In recent years, the development of application specific instruction set processors (ASIP) is the exclusive domain of the semiconductor houses and core vendors. This is due to the fact that constructing such architecture is a difficult assignment that needs skilled knowledge in distinct domains: application software development tools, processor hardware implementation, and system integration and verification. To specify the design and implementation of such systems and incorporate the functionality implemented in both hardware and software forms, we are compelled to move on from traditional Ha
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45

Arendt, Ryszard, and Ryszard Michalski. "HARDWARE AND SOFTWARE OF DIAGNOSTIC SYSTEM OF WHEELED TRACTORS / HARDWER I SOFTWER SYSTEMU DIAGNOSTYCZNEGO CIĄGNIKÓW KOŁOWYCH." Journal of KONBiN 26, no. 1 (2013): 151–64. http://dx.doi.org/10.2478/jok-2013-0090.

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Abstract The design and construction of a diagnostic device requires the development of a system for the acquisition and processing of measurement data, numerous cable connections and an on-board computer. The key component of a diagnostic system was the Fujitsu FUTRO S100 on-board computer in shock and vibration-proof housing, with passive cooling and a 16 GB Compact Flash memory card. The computer was provided with a NVOX LCD 10” VGA/FVAT touch screen. The following software was used: Windows XP-2000, USB/DeviceNet interface module and a diagnostic program. The computer was connected to the
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46

Padwal, Saumil, Vaibhav Shukla, Mayur Pawar, Vikas Prajapati, Prof Pravin Adivarekar, and Prof Sachin Malve. "Hardware Monitoring Suite." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1269–72. http://dx.doi.org/10.22214/ijraset.2022.41386.

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Abstract: Hardware Monitoring Suite is a system monitoring app which will be used for tracking of hardwarecomponents such as CPU (temperatures, voltages), fan speeds, Core temperature, system hardware detection , PSU load, among others. In addition, it will also provide suggestion of better components than the current components, as well as news about latest hardware for upgrades.
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47

Li, Shanshan, and Chengbin Quan. "Auto-evaluating System of Computer Hardware Experiment Based on Remote Hardware Platform." International Journal of Information and Education Technology 7, no. 1 (2017): 11–14. http://dx.doi.org/10.18178/ijiet.2017.7.1.833.

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48

Ismail, Tarek Ben, Jean-Marc Daveau, Kevin O'Brien, and Ahmed Amine Jerraya. "A system-level communication synthesis approach for hardware/software systems." Microprocessors and Microsystems 20, no. 3 (1996): 149–57. http://dx.doi.org/10.1016/0141-9331(95)01072-6.

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49

Hsu, John C. "4.3.3 Applying Systems Modeling Language to A Simple Hardware System." INCOSE International Symposium 16, no. 1 (2006): 595–605. http://dx.doi.org/10.1002/j.2334-5837.2006.tb02768.x.

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50

Wang, Ling Ling, Hong Xia Luo, Jian Hua Cao, Kun Lu, Ji Hua Fang, and Shuai Chen. "The Design of Intelligent Monitoring System on Tropical Greenhouse Crop Production Environment." Advanced Materials Research 1073-1076 (December 2014): 530–34. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.530.

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Based on the growth characteristic of tropical greenhouse crop and field intelligent management demands for information of temperature, humidity, gas and light, the intelligent monitoring system on tropical greenhouse crop production environment is studied and designed respectively. The system includes two parts of hardware and software. In the part of hardware, mainly expounding hardware's function and communication protocol with software. It is composed of TINY210 development board and sensors. Software includes JAVA programming language, COM communication port, communication protocol, data
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