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Artigos de revistas sobre o tema "Operating system"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 9 de junho de 2025

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1

Kabiraj, Sumanta, Anjli Gupta, and Prof Subhashis Kumar Chandra. "Operating System a Case Study." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 166–75. http://dx.doi.org/10.31142/ijtsrd10780.

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Raghuvanshi, Durgesh. "Memory Management in Operating System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 2346–47. http://dx.doi.org/10.31142/ijtsrd18342.

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3

Bielik, Valerii, Yuriy Morozov, and Mykola Morozov. "Sensors in Cyber-Physical Systems Based on Android Operating System." Advances in Cyber-Physical Systems 6, no. 2 (December 17, 2021): 83–89. http://dx.doi.org/10.23939/acps2021.02.083.

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The cyber-physical systems take the major part of any system that help users to interact with environment processes. Cyber-physical systems are intelligent systems, which include networks of physical and computing components that interact on internal level. The basis for the development of various models of cyber-physical systems are the using of measuring instruments and their software. Measuring instruments are necessary to control technological parameters processes and the environment. The purpose was to investigate the features of interaction with sensors, to identify the most useful of them in use, to classify types and describe their capabilities for future use in developing of cyber-physical systems. The relevance of the choice of this topic is that mobile and cyber-physical systems occupy a significant place in modern life. The systems that help the user to simplify daily tasks are of maximum benefit. These tasks can be attributed to the tasks of the environment as they exist and are performed in it. Especially cyber-physical systems that interact with the environment have the ability to solve such problems. Sensors act as a tool of interaction, the so-called bridge between the environment and the program. Sensors collect and provide information for further processing and use in solving problems.

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4

Pareek, Apoorva. "Operating System." Review of Professional Management- A Journal of New Delhi Institute of Management 2, no. 1 (June 1, 2004): 72. http://dx.doi.org/10.20968/rpm/2004/v2/i1/101096.

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5

Pachouri, Anshul, Mohit Sharma, Tribhuwan Tewari, and Prashant Kaushik. "Green Operating System: Future Low Power Operating System." International Journal of Computer Applications 1, no. 21 (February 25, 2010): 82–85. http://dx.doi.org/10.5120/48-644.

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6

Beckman, Pete, Kamil Iskra, Kazutomo Yoshii, and Susan Coghlan. "Operating system issues for petascale systems." ACM SIGOPS Operating Systems Review 40, no. 2 (April 2006): 29–33. http://dx.doi.org/10.1145/1131322.1131332.

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7

Plagemann, T., V. Goebel, P. Halvorsen, and O. Anshus. "Operating system support for multimedia systems." Computer Communications 23, no. 3 (February 2000): 267–89. http://dx.doi.org/10.1016/s0140-3664(99)00180-2.

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8

O'Shea, G. F. G. "Operating system integrity." Computers & Security 10, no. 5 (August 1991): 443–65. http://dx.doi.org/10.1016/0167-4048(91)90070-t.

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9

Jaeger, Trent. "Operating System Security." Synthesis Lectures on Information Security, Privacy, and Trust 1, no. 1 (January 2008): 1–218. http://dx.doi.org/10.2200/s00126ed1v01y200808spt001.

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10

Jerebic, Izidor. "TriOS operating system." Microprocessing and Microprogramming 35, no. 1-5 (September 1992): 55–60. http://dx.doi.org/10.1016/0165-6074(92)90293-g.

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11

Klein, Gerwin, Ralf Huuck, and Bastian Schlich. "Operating System Verification." Journal of Automated Reasoning 42, no. 2-4 (March 17, 2009): 123–24. http://dx.doi.org/10.1007/s10817-009-9126-9.

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12

Perotto, E. "Network operating system." Computer Physics Communications 45, no. 1-3 (August 1987): 455–66. http://dx.doi.org/10.1016/0010-4655(87)90189-5.

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13

Zhao, Ming Xin. "Research on Operating System Security Technology." Applied Mechanics and Materials 703 (December 2014): 294–97. http://dx.doi.org/10.4028/www.scientific.net/amm.703.294.

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This paper study three mainstream operating system,their kernel module on-demand loading mechanism, their safety and reliability measures, points out the weaknesses these operating systems have in the kernel module security control. Along with the study of two new operating system -- dynamic extensible operating system and virtual address space based on file operation system, make a prospects on the operating system architecture development

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14

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 Network-on-Chip). Recent-series of Xilinx FPGAs, such as Virtex-5, provide two Internal Configuration Access Ports, which cannot be accessed simultaneously. To prevent conflicts, the access to these ports as well as the hardware resource management needs to be controlled, e.g. by a special-purpose operating system running on an embedded processor. For that purpose and to handle the relations between temporally and spatially scheduled operations, the novel approach of an operating system is of high importance. This special purpose operating system, called CAP-OS (Configuration Access Port-Operating System), which will be presented in this paper, supports the clients using the configuration port with the services of priority-based access scheduling, hardware task mapping and resource management.

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15

Huang, Jiahua, Shuo Liang, Caicong Wu, Zhihong Kou, and Ying Chen. "Evaluation System for Agricultural Machinery Operation Based on Smartphone Sensors." Applied Engineering in Agriculture 38, no. 2 (2022): 227–42. http://dx.doi.org/10.13031/aea.14500.

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HighlightsAn evaluation system for agricultural machinery operation was developed.Quantitatively evaluating agricultural machinery operators can support the precision management for agricultural machinery service organizations.The evaluation system can detect and quantify subtle and transient operating behaviors based on smartphone sensors.The evaluation system can distinguish the relative pros and cons of the operating skills of agricultural machinery operators.Abstract. To support the precision management of agricultural machinery operators, scaled agricultural machinery service organizations require comprehensive evaluations for the operating behaviors of each operator, particularly subtle and transient operating behaviors (e.g., sudden acceleration and unstable operating velocities), which greatly influence the operation quality. In this paper, embedded smartphone sensors were utilized to collect high-frequency motion information for agricultural machinery operation, and then, an Agricultural Machinery Operation Evaluation System (AMOES) was designed to evaluate the operating behaviors of the corresponding operators. In AMOES, four evaluation items (the ratio of useful work, the effect on machinery health, the quality of working operation, and the efficiency of U-turn) were defined specifically for the evaluation of subtle and transient operating behaviors, and they were quantified using motion information. Moreover, a case of a scaled agricultural machinery cooperative in Beijing was performed, and AMOES was used to evaluate the operating behaviors of six operators (two autonomous-driving and four manual-driving operators). The case study indicated that the motion data collected by smartphone sensors could capture subtle and transient operating behaviors and that AMOES could effectively detect and quantify subtle operating behaviors. Keywords: Agricultural machinery, Operating behavior, Operation evaluation, Smartphone sensors.

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16

Hakiai, Shuji. "Operating Experience and Potential for the Operation Assistant System." JAPAN TAPPI JOURNAL 58, no. 3 (2004): 332–38. http://dx.doi.org/10.2524/jtappij.58.332.

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17

Ozdenizci Kose, Busra, Alp Sardag, Vedat Coskun, and Ali Mantar. "Enhancing SIM Card Technology: Developing an Advanced Operating System." Advances in Cyber-Physical Systems 8, no. 1 (May 10, 2023): 35–42. http://dx.doi.org/10.23939/acps2023.01.035.

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The emergence of smart cards is a significant achievement in the field of information technology. They are growing in importance as they offer secure data storage and authentication, improve security, simplify processes, reduce costs, and have a variety of applications. In particu- lar, nowadays SIM cards play a vital role in the Telecom industry as an important type of smart card that allows a user to make calls, send messages, store details such as phone number and network authentication information, and provide various mobile data services. Currently, some leading companies take advantage of having their own smart card operating systems and have significant impact on the market on various issues (hardware on which the smart card operating system will run; security restrictions; control, permission and control of any application, etc.). It is important to work on creating a more flexible, adaptable and secure operating system infrastructure in order to overcome these limitations both in the customer perspective and in the ecosystem. The purpose of this research is to introduce the creation of a special Java Card operating system designed for SIM cards used in the Telecom indus- try. The study presents the software requirements and development steps of the proposed operating system and innovative architectural components necessary for its op- eration as a SIM card beyond being a Java Card operating system. The proposed new Java Card based SIM operating system is expected to pave the way for the development of eSIM operating system infrastructure as well as 5G tech- nology and offer valuable opportunities.

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18

Hassan, Syed Ali, and Mohsin Anwar. "Voting System using Android Operating System." VAWKUM Transactions on Computer Sciences 15, no. 1 (September 30, 2018): 48. http://dx.doi.org/10.21015/vtcs.v15i1.489.

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19

Thiel, Greg. "LOCUS operating system, a transparent system." Computer Communications 14, no. 6 (July 1991): 336–46. http://dx.doi.org/10.1016/0140-3664(91)90059-a.

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20

Suri, Rajiv, and Kevin Otto. "Manufacturing System Robustness Through Integrated Modeling." Journal of Mechanical Design 123, no. 4 (August 1, 1999): 630–36. http://dx.doi.org/10.1115/1.1402129.

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Robust design techniques are often applied to the design of manufacturing processes to determine the most robust operating points for a production system. However, such efforts have traditionally been focused on treating the output of each manufacturing operation in isolation. This approach ignores the fact that the sensitivity of each operation to input variation is a function of the operating point, which can only be changed in conjunction with the operating points of all other operations in that system. As such, applying robust design to each operation within a system individually does not guarantee lowest end-of-line variation. This is contrary to commonly held beliefs. What is needed instead is a method for conducting a system-wide parameter design where the operating points of each operation are optimized as a complete set to reduce final product variation. The logistics of such an integrated parameter design scheme become difficult or impossible on processes that may occur in different geographical locations. In this paper we outline the use of mathematical models to conduct system-wide parameter design. We demonstrate this technique on a model of a sheet stretch-forming manufacturing system. Through this example, we show that selecting operating points while considering the entire system results in a greater reduction in variation than Taguchi-style robust design conducted independently on each of the operations within the system.

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21

RUTHERFORD, DANILYN. "Becoming an operating system." American Ethnologist 48, no. 2 (May 2021): 139–52. http://dx.doi.org/10.1111/amet.13013.

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22

Laxkar, Vivek, Pandurang Lahane, and Mithun Mhatre, HOD. "Evolution of Operating System." IJARCCE 7, no. 8 (August 30, 2018): 60–62. http://dx.doi.org/10.17148/ijarcce.2018.7813.

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23

B B, Kumbhar, Panhalkar S R, Korgaonkar G S, and Prof T. H. Mohite. "Laboratory Automated Operating System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1537–40. http://dx.doi.org/10.22214/ijraset.2022.41279.

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Abstract: Laboratory Automation is a unique system that can control and establish communication between nearly all aspects of your lab. Laboratory Automation is a term used to describe the working together of all household amenities and appliances. For example, a centrally microcontroller panel can have the capability to control everything from security system, lighting and overall electrical appliances. Laboratory automation can include controlling aspects of our lab remotely through a computer or any mobile equipment, programming electronics devices to respond automatically to some conditions or scenarios or centralizing the control of a variety of appliances in our lab into a single control center. For example, Control of lights in and around our laboratory from one central location so there is no need to get out of to that place or go to downstairs if we forgot to turn OFF or ON any appliances, just we can control remotely. It is essential that the different controllable appliances be interconnected and communicates with each other. The main purpose of Laboratory automation is to control or monitor signals from different appliances, or basic services. A smart phone or web browser can be used to control or monitor the home automation system. we build a fire alarm using multiple sensors. This project will send an alert whenever it detects fire and smoke. It has also connected with a buzzer and an LED which will act as a audio and visual indication for alert. A fire alarm system to detect and warn people through visual and audio appliances when smoke, fire, carbon monoxide or other emergencies are present. These alarms may be activated automatically from smoke detectors, and heat detectors or may also be activated via manual fire alarm activation devices such as manual call points or pull stations. Alarms can be either motorized bells or wall mountable sounders or horns. They can also be speaker strobes which sound an alarm, followed by a voice evacuation message which warns people inside the building not to use the elevators with the increase in consumption of energy and population, there is a grave need to conserve energy in every way possible. The inability to access and control the appliances from remote locations is one of the major reasons for energy loss. A web or an android application is used by the users to give instructions to these systems. This system can make use of a host of communication methods such as Wi-Fi, GSM, Bluetooth, ZigBee. Different controlling devices and configurations can be found in existing systems. Such systems have been found already in many places for a wide variety of applications. This paper presents a survey of all such systems. Keywords: Laboratory Automation, Android, Wifi module, Energy conservation, Electrical and electronics devices

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24

Eom, Joong Sik. "Operating the hospitalist system." Journal of the Korean Medical Association 59, no. 5 (2016): 342. http://dx.doi.org/10.5124/jkma.2016.59.5.342.

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25

Dawson, Maurice, and Jose Antonio Cárdenas-Haro. "Tails Linux Operating System." International Journal of Hyperconnectivity and the Internet of Things 1, no. 1 (January 2017): 47–55. http://dx.doi.org/10.4018/ijhiot.2017010104.

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After the information released by Edward Snowden, the world realized about the security risks of high surveillance from governments to citizens or among governments, and how it can affect the freedom, democracy, and peace. And organizations such as WikiLeaks has shown just how much data is collected to include the poor security controls in place to protect that information. Research has been carried out for the creation of the necessary tools for the countermeasures to all these surveillance. One of the most potent tools is the Tails system as a complement of The Onion Router (TOR). Even though there are limitations and flaws, the progress has been significant, and we are moving in the right direction. As more individuals and organizations fall under a watchful eye on their Internet activities then maintaining anonymity it not only essential for getting out information but one's safety.

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26

Okada, Kei. "ROS（Robot Operating System）." Journal of the Robotics Society of Japan 30, no. 9 (2012): 830–35. http://dx.doi.org/10.7210/jrsj.30.830.

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27

Belay, Adam, George Prekas, Mia Primorac, Ana Klimovic, Samuel Grossman, Christos Kozyrakis, and Edouard Bugnion. "The IX Operating System." ACM Transactions on Computer Systems 34, no. 4 (January 16, 2017): 1–39. http://dx.doi.org/10.1145/2997641.

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28

廖, 佳伟. "Unmanned Cloud Operating System." Artificial Intelligence and Robotics Research 07, no. 03 (2018): 89–96. http://dx.doi.org/10.12677/airr.2018.73010.

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SIMPSON, ROY L. "Understanding Your Operating System." Nursing Management (Springhouse) 23, no. 5 (May 1992): 20,24. http://dx.doi.org/10.1097/00006247-199205000-00010.

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E, ARUL, VISHNU PRASANTH B, SUGANTH SUGANTH, MITHUNRAJ P, and KATHIRAVAN M. "SPEECH ENABLED OPERATING SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (December 30, 2024): 1–9. https://doi.org/10.55041/ijsrem40378.

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The concept of the work is to create a speech interface while controlling computers using OS to manage computer operations through speech. It is more than a mere corridor is giving a smooth entry into a computer but at the same time we have made what seems to be complex operation very easy. It has been implemented on the Linux platform and uses Speech Recognition libraries with Google Speech API to convert typed direct spoken word commands to the computer fully optimized with pyttsx3 python for feedback voice output to the user. The features that are supported by this interface include typing, opening, closing, creating, deleting, renaming files, searching the web, starting other applications, etc. First it includes converting the input speech into text, the second step is parsing this text to match with the request to the coded Python codes to perform the desired action. This modularity has the Command Module for acquiring a module capturing voice, through which inputs matched will be action, the Action Module for action, and the Feedback Module through voice response confirmation. The Bash script operates with systemd- to start the interface at system boot in order to run this code under the Python virtual environment with the name myenv. This type of interface is most suitable for the disabled as it enhances convenience and flexibility in making assimilation to smart OS environments.

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31

DiLuoffo, Vincenzo, William R. Michalson, and Berk Sunar. "Robot Operating System 2." International Journal of Advanced Robotic Systems 15, no. 3 (May 1, 2018): 172988141877001. http://dx.doi.org/10.1177/1729881418770011.

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It is no secret that robotic systems are expanding into many human roles or are augmenting human roles. The Robot Operating System is an open-source standard for the robotic industry that enables locomotion, manipulation, navigation, and recognition tasks by integrating sensors, motors, and controllers into reusable modules over a distributed messaging architecture. As reliance on robotic systems increases, these systems become high value targets, for example, in autonomous vehicles where human life is at risk. As Robot Operating System has become a de facto standard for many robotic systems, the security of Robot Operating System becomes an important consideration for deployed systems. The original Robot Operating System implementations were not designed to mitigate the security risks associated with hostile actors. Robot Operating System 2, the next generation of the Robot Operating System, addresses this shortcoming, leveraging Data Distributed Services for its messaging architecture and Data Distributed Services security extension for its data protection in motion. This article provides a systematic review of Robot Operating System 2 and identifies potential risks for this new robotic system paradigm. A Robot Operating System 2 robotic system is viewed as a series of layers from the hardware that include sensors, motors, and controllers to the software layers, which include the operating system, security services, protocols, messaging, and the cognitive layer for observation, learning, and action. Since Robot Operating System 2 and security are new considerations for robotics systems as they move into mainstream, many questions emerge. For example, can some portions be secure and other portions be non-secure? Does everything need to be secure? What are the trade-offs between, security, performance, latency and throughput? What about real-time robotic systems? This article provides an overview of the Robot Operating System 2 paradigm and represents a first step toward answering these questions.

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Jefferson, D., B. Beckman, F. Wieland, L. Blume, and M. Diloreto. "Time warp operating system." ACM SIGOPS Operating Systems Review 21, no. 5 (November 1987): 77–93. http://dx.doi.org/10.1145/37499.37508.

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Sobhy, Ahmed Refaat, Abeer Twakol Khalil, Mohamed M. Elfaham, and Atalla Hashad. "UAV Cloud Operating System." MATEC Web of Conferences 188 (2018): 05011. http://dx.doi.org/10.1051/matecconf/201818805011.

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Unmanned aerial vehicle (UAV) which is a special case of mobile ad-hoc networks (MANETs) that attracts many researchers as it becomes a scope for both military and civilian applications. Also the trend of cloud computing when it is combined with UAV highlights this field of research in many aspects, but the most significant point of research is the operating system for the cloud. This paper investigates UAV cloud operating system showing the throughput (bits/Sec) for the system implemented when using both Windows and Linux operating systems in order to select the operating system used based on a real scientific results.

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34

Chan, Pak, and Vincent Fusco. "Co‐operating retrodirective system." IET Microwaves, Antennas & Propagation 7, no. 3 (February 2013): 187–94. http://dx.doi.org/10.1049/iet-map.2012.0409.

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35

Kuhn, Bradley M. "Opinion: operating system wars." XRDS: Crossroads, The ACM Magazine for Students 1, no. 3 (February 1995): 8. http://dx.doi.org/10.1145/197892.197899.

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Lawrence, Kathy. "The alternative operating system." Data Processing 27, no. 6 (July 1985): 27–28. http://dx.doi.org/10.1016/0011-684x(85)90267-9.

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Franklin, Iain. "Securing the Operating System." Network Security 2001, no. 5 (May 2001): 12–13. http://dx.doi.org/10.1016/s1353-4858(01)00515-3.

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Djordjević, Jovan, Milo Tomaševic, Miroslav Bojović, Veselin Potić, and Siniša Randjić. "An operating system accelerator." Journal of Systems Architecture 44, no. 9-10 (June 1998): 737–54. http://dx.doi.org/10.1016/s1383-7621(97)00043-x.

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Luo, Lei, and Ming-Yuan Zhu. "Partitioning based operating system." ACM SIGOPS Operating Systems Review 37, no. 3 (July 2003): 23–35. http://dx.doi.org/10.1145/881783.881787.

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40

Post, Gerald V. "Improving operating system security." Computers & Security 6, no. 5 (October 1987): 417–25. http://dx.doi.org/10.1016/0167-4048(87)90014-9.

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41

Rapid Recall Ltd. "Multi-user operating system." Computer-Aided Design 17, no. 4 (May 1985): 206. http://dx.doi.org/10.1016/0010-4485(85)90241-6.

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Rakic, Predrag, Zarko Zivanov, and Miroslav Hajdukovic. "COLIBROS: Educational operating system." Computer Science and Information Systems 7, no. 4 (2010): 705–19. http://dx.doi.org/10.2298/csis070521022r.

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This paper gives an overview of educational operating system called COLIBROS. It is small, object oriented, library operating system, based on micro-kernel concepts, supporting high level concurrency and synchronization primitives. In fact, COLIBROS is simplified operating system kernel accompanied with hardware emulation layer that emulates keyboard, monitor, disk and interrupt mechanism. A concurrent COLIBROS program behaves like stand alone program executing in emulated environment, in our case as plain GNU/Linux process. Encapsulating all critical concepts in host operating system user space makes COLIBROS development and debugging easier and more user friendly.

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Bokhari, S. N. "The Linux operating system." Computer 28, no. 8 (1995): 74–79. http://dx.doi.org/10.1109/2.402081.

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Villanueva, M. Teresa. "Rebooting rhabdomyosarcoma's operating system." Nature Reviews Clinical Oncology 11, no. 5 (April 15, 2014): 242. http://dx.doi.org/10.1038/nrclinonc.2014.62.

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Coady, Yvonne, Gregor Kiczales, Mike Feeley, Norm Hutchinson, and Joon Suan Ong. "Structuring operating system aspects." Communications of the ACM 44, no. 10 (October 2001): 79–82. http://dx.doi.org/10.1145/383845.383863.

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Furber, D. J. "The Unix operating system." Information and Software Technology 32, no. 3 (April 1990): 229. http://dx.doi.org/10.1016/0950-5849(90)90184-s.

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Heines, TS. "Operating system analysis tools." Information and Software Technology 33, no. 5 (June 1991): 340–42. http://dx.doi.org/10.1016/0950-5849(91)90102-h.

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Balakrishnan, S. "The Linux Operating System." Resonance 4, no. 4 (April 1999): 64–72. http://dx.doi.org/10.1007/bf02838342.

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49

Dhami, Ujas, and Nisarg Shah. "Formulating Operating System Anonymization by Monolithic Keyring Subsystem Fabrication." International Journal of Science and Research (IJSR) 11, no. 2 (February 5, 2022): 148–51. http://dx.doi.org/10.21275/sr22131160746.

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Doi, Takahiro. "On special issue “ROS: Robot Operating System”." Journal of the Robotics Society of Japan 35, no. 4 (2017): 269. http://dx.doi.org/10.7210/jrsj.35.269.

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