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AT&T bELL LAbORATORIEs TECHNICAL JOURNAL 1984年第8期63卷 1571-1572页

作者： MARTIN, RL AT&T Bell Laboratories. Robert L. Martin: B.S. (Electrical Engineering) 1964 Brown University M.S. (Electrical Engineering) and D.S. (Computer Science) The Massachusetts Institute of Technology in 1965 and 1967 respectively AT&T Bell Laboratories 1967—.

Major technological breakthroughs, like the transistor, are rare events. These breakthroughs have far-reaching effects on science, b.s.ness, and, at times, society. The UNIX™ operating system is such a breakthrough.

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THE VIRTUAL PROTOCOL MACHINE

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AT&T bELL LAbORATORIEs TECHNICAL JOURNAL 1984年第8期63卷 1859-1876页

作者： FITTON, MJ HARKNEss, CJ KELLEMAN, KA LONG, PF MEE, C AT&T Bell Laboratories. Michael J. Fitton: B.S. (Computer Science) 1981 Rutgers University M.S. (Computer Science) 1983 Stevens Institute of Technology AT&T Bell Laboratories 1977—. Carol J. Harkness: B.A. (Mathematics) 1969 University of Wisconsin M.S. (Computer Science) 1970 Purdue University AT&T Bell Laboratories 1969—. Keith A. Kelleman: B.S. (Electrical Engineering) 1979 Lafayette College M.S. (Computer Science) 1981 Stevens Institute of Technology AT&T Bell Laboratories 1979—. Paul F. Long: B.S. (Engineering Mathematics) 1960 M.S. (Applied Mathematics) 1963 North Carolina State University Bellcomm Inc. 1965–1972 AT&T Bell Laboratories 1972—. Carl Mee III: B.S. (Mathematics) 1957 The University of the South M.A. (Mathematics) 1964 The University of Virginia U.S. Air Force 1958–1962 Bellcomm Inc. 1964–1966 1968–1972 Informatics Inc. 1966–1968

The UNIX ™ operating system Virtual Protocol Machine (VPM) is a package of software tools that allows a wide variety of link-level data communications protocols to be implemented efficiently in a high-level language. The resulting protocol implementations are independent of the particular communications hardware, the host machine architecture, and the host operating system, and therefore can be ported easily from one hardware/software environment to another. An extension to VPM, the Common synchronous Interface (CsI), provides similar benefits for the higher-level protocol software that runs in the UNIX system host. The implementations of VPM use Programmable Communications Devices (PCDs) to off load the link-level communications processing from the host CPU. A high-level language protocol description is translated by a protocol compiler that runs on the host machine. The resulting module is then loaded into the PCD and executed. The other components of VPM are a transparent protocol driver that allows user processes to interact directly with a link-level protocol implementation, a realtime trace capability to facilitate debugging, and several utility programs. VPM has been implemented on several different PCDs and several types of host computers. VPM-b.s.d protocol implementations can be ported with little or no change from one VPM implementation to another. VPM and CsI greatly reduce host system overhead while producing maximum communications throughput. A number of different higher-level protocols and their link-level counterparts have been implemented in the UNIX system using CsI and VPM; among them are X.25, 3270 emulation, a synchronous terminal interface, and a facility for remote job entry to IbM hosts.

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short-term Wind Power Ramp Forecasting Using sequential Approach

Short-term Wind Power Ramp Forecasting Using Sequential Appr...

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2024 IEEE International Conference on Modeling, simulation and Intelligent Computing, MosICom 2024

作者： Gopalakrishnan, Leechita barrera, Julian L Cardenas Fatima, N. sabiyath B.S. Abdur Rahman Crescent Institute of Science and Technology Dept. of Computer Science and Engineering Chennai India University of New Brunswick Dept. of Electrical and Computer Engineering Fredericton Canada

ISBN: (纸本)9798331533311

As wind energy becomes a key player in the global transition to renewable energy, its variability presents significant challenges. Accurate wind ramp forecasting is crucial for managing such rapid fluctuations in wind power output, ensuring grid stability, and enhancing the reliability of renewable energy integration. This paper presents a short-term wind ramp forecasting model using a sequential approach: initially forecasting wind power through the integration of Variational Mode Decomposition (VMD) and the XGboost algorithm, and subsequently detecting wind ramps using the Definition b.s.d sign Indicator (DsI) method. The historical wind speed and power data for Turkey was obtained from Kaggle. The dataset comprises readings from a wind turbine's sCADA system in Turkey, with measurements recorded at 10minute intervals. Variational Mode Decomposition (VMD) was applied to deconstruct and restore the historical wind power of the wind field, resulting in the formation of three training datasets. Wind power projections for the subsequent 8 hours, at 10 -minute intervals, are generated using historical wind power, wind speed, and wind direction as inputs. The DsI algorithm is employed to identify ramps. To assess the predictive capability of the proposed model, two algorithms, sVR and XGboost, were employed for forecasting and the resulting error is minimal. The proposed model, VMD + XGbOOsT is also compared without VMD to evaluate the performance. Taking mean square error (MsE), root mean square error (RMsE) mean absolute error (MAE), and symmetric mean absolute percentage error (sMAPE) as evaluation indicators, the results show that the forecasted accuracy of wind power is significantly improved after VMD processing. The performance of XGbOOsT is better than sVR in the two evaluation indicators. Precision, Recall, and F1-score are calculated to evaluate the accuracy of the predicted wind ramps. © 2024 IEEE.

关键词： Wind forecasting

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A different VIEW: Virtual Interactive engineering on the Web

A different VIEW: Virtual Interactive Engineering on the Web

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2009 AsEE Annual Conference and Exposition

作者： Goeser, Priya Johnson, Wayne Hamza-Lup, Felix sopin, Ivan sanchez, Carlos Hager, Patrick Department of Engineering Studies Armstrong Atlantic State University Savannah GA United States Department of Computer Science Armstrong Atlantic State University Savannah GA United States Armstrong Atlantic State University B.S. in Mechanical Engineering United States Georgia Institute of Technology B.S. in Civil Engineering United States

Virtual laboratories and modules are used in most universities to reinforce concepts from lecture material, provide exposure to practical issues associated with experiments and present visual, realistic applications of theoretical concepts. In addition, interactive simulations and virtual environments can play a significant role in facilitating learning through engagement, immediate feedback and in creating real-world scenarios. This work presents the initial phase in the development of a set of Web b.s.d virtual laboratories and modules - Virtual Interactive engineering on the Web (VIEW). A Virtual Tensile Testing Laboratory (VTTL) is developed to be used as a supplement in the course: Introduction to engineering Materials. The main objective of this laboratory is to introduce students to the testing techniques required to determine mechanical properties of materials such as elastic modulus, yield strength, ductility, and toughness. © American society for engineering Education, 2009.

关键词： Tensile testing

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CYGNUs-PCM ECLss characterization/validation testing and design evolution 42

CYGNUS-PCM ECLSS characterization/validation testing and des...

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42nd International Conference on Environmental systems 2012, ICEs 2012

作者： bertotto, Dario Lob.s.io, Cesare Finetto, Claudio sinesi, Cosimo Thales Alenia Space - Italia B.S. Space Infrastructures and Transportation Space Environment and Habitat Strada Antica di Collegno 253 10146 Turin Italy SSE - Sofiter System Engineering SpA B.S. Space Infrastructures and Transportation Space Environment and Habitat Corso Francia 35 10138 Turin Italy

ISBN: (数字)9781600869341

ISBN: (纸本)9781600869341

Thales Alenia space-Italia has developed the environmental system of the Cygnus Pressurized Cargo Module (PCM), part of the Cargo Resupply system (CRs) developed by Orbital sciences Corporation in the frame of the Commercial Orbital Transportation systems (COTs) initiative. The Environmental Control & Life support system (ECLss), described in a dedicated paper presented at ICEs in 2010, has been manufactured and integrated on the first PCM units (PCM demo, PCM#1 and PCM#2) since the second half of the year 2010 and first half of year 2012. The ECLss has been subjected to several tests aimed to confirm its performances: • THC Flow Rate test, • Cabin Ventilation test, • Overall module leak tests ("ELT - Element Leak Test"). In the meantime the design has been adjusted to implement the test outcomes. This paper describ.s.the ECLss characterization and modeling validation tests set-up and results (with particular attention to the Cabin Ventilation test) and the design improvements following the tests. © 2012 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Environmental management

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An IoT-b.s.d secure data transmission in WbsN

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International Journal of Cloud Computing 2020年第2-3期9卷 311-329页

作者： Karthiga, I. sankar, sharmila Department of Computer Science and Engineering B.S. Abdhur Rahman University India

Internet of things (IoT) is deemed as the new age technology providing complete access to internet. Cryptography provides confidentiality, authenticity, integrity of data and prevents repudiation. Here, a framework is developed for secure data transmission from the wireless body sensor network (WbsN) in IoT environment. sensors in the human body gather the data and direct to the cloud through a gateway. Three stages in the implementation are: Authentication, security and load balancing. Optimised elliptical curve cryptography (OECC) is employed for secure data transmission. To allow multiple users in the network, load balancing is done using krill herd load balancing (KHLb). The proposed OECC and KHLb.s.performance is analysed by comparing them with existing methodologies regarding the performance measures say encryption and decryption time, security level, packet loss ratio (PLR), end-to-end delay along with throughput. The proposed encryption achieves b.s. performance contrasted to other existing techniques regarding all performance measures. © 2020 Inderscience Enterprises Ltd.. All rights reserved.

关键词： Internet of things

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A Comparative Analysis and Prediction of Diabetes Using Machine Learning Approaches 5th

A Comparative Analysis and Prediction of Diabetes Using Mach...

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5th Doctoral symposium on Computational Intelligence, DosCI 2024

作者： Ansari, Gufran Ahmad bhat, salliah shafi bhoite, sachin Department of Computer Science and Engineering and Software Engineering University of Hail Hail Saudi Arabia Computer Applications B.S. Abdur Rahman Crescent Institute of Science and Technology Chennai600048 India Pune411 038 India

ISBN: (纸本)9789819763177

Diabetes is a leading cause of death. People with type 1 diabetes (T1D) can face a number of consequences from their illness. Hyperglycemia is a symptom of T1D disease. Hyperglycemia can be symptoms that can be used for predicting diabetes in patients using the machine learning approach (MLA). Learning algorithms play a role in disease detection and prediction of decision-making. The leading cause of diabetes is really a high blood sugar level or a lack of insulin. As a consequence, it is critical to develop a reliable method to predict diabetes. Once it becomes a serious health concern, it will damage different organs such as the lungs, brain, nerves, blood vessels and heart as a result. several approaches for detecting diabetes have been used in recent decades. Early diabetic diagnosis is currently very important to help the patients’ health, and this can be done by utilizing a variety of procedures. Tenfold cross-validation technique was used to train dataset for classification. In this paper, authors use different classifications of algorithms such as random forest, decision tree, logistic regression and multilayer perceptron for finding T1D patients. The accuracy of MLP is 98.077% which is the highest among other algorithms. © The Author(s), under exclusive license to springer Nature singapore Pte Ltd. 2024.

关键词： Contrastive Learning

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ANALYTICOL - AN ANALYTICAL COMPUTING ENVIRONMENT

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AT&T TECHNICAL JOURNAL 1985年第9期64卷 1995-2007页

作者： CHILDs, C MEACHAM, CR AT&T Bell Laboratories. Carolyn Childs: B.S. 1965 M.S. 1966 (Mathematics) University of Massachusetts M.S. (Computer Science) 1974 University of Wisconsin-Madison Instructor of Mathematics 1966–1975 Assistant Professor 1976 University of Wisconsin Center System Waukesha AT&T Bell Laboratories 1976—. AT&T Bell Laboratories present affiliation Bell Communications Research Inc. C. Rebecca Meacham: B.S. (Mathematics) 1969 Millsaps College Jackson Mississippi M.S. (Mathematics) 1973 The University of Mississippi M.S. (Computer Science) 1979 The University of Tennessee Mathematics Instructor 1969–1979 Member of Technical Staff at AT&T Bell Laboratories 1979–1983 Bell Communications Research 1983—.

A good workman is known by his tools.—Proverb This paper is an overview of this special issue of the AT&T Technical Journal on ANALYTICOL, an analytical computing environment developed by AT&T and b.s.d on the UNIX ™ operating system. ANALYTICOL was developed to provide specific capabilities of value to b.s.ness analysts. The environment has the potential to provide substantial productivity gains and quality improvements for analysts working on ad hoc studies, and analysts and programmers developing applications. The other papers in this issue describe some of the individual software tools that make up the ANALYTICOL environment. This paper describ.s.a set of generic tasks that need to be performed in solving b.s.ness analysis problems, and how these tools can work together to perform the tasks and build an application system. An example of a typical b.s.ness problem in the telecommunications industry is provided to illustrate the use of the tools in a b.s.ness environment.

关键词： computers

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Capstone Project Experience: AI-Driven Virtual Therapist for Administering VibeTech Treatments Using Artificial Reality

Capstone Project Experience: AI-Driven Virtual Therapist for...

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2022 IEEE International Conference on Electro Information Technology, eIT 2022

作者： Walker, Max Paul, Jacob Turkmen, Ahmet Leismer, Jeff University of Wisconsin-Stout B.S. Computer and Electrical Engineering Menomonie United States University of Wisconsin-Stout Menomonie United States VibeTech Enterprises Sheboygan United States

ISBN: (纸本)9781665480093

This paper presents a capstone project in which a digitally interfaced system of assistance within virtual reality was added to VibeTech's Vib.s.t PRO vibration therapy device. Through the programs Unity and blender, an environment that runs on the virtual reality headset Oculus Quest 2 was created. The virtual environment was an immersive beach which includes sand, moving water, environmental sounds, boats, trees, and beach umbrellas. A tutorial video and a user interface were developed. The process was created and tested with approved human subjects. The system was tested using the Vib.s.t Pro robotic therapeutic vibration device. The user interface built into the virtual environment allows the users to answer questions and submit their answers to be stored in arrays. External sensors were also added through a third-party Unity asset called Uduino. Uduino enables communication between Unity and an Arduino microprocessor. Results of advanced physical therapy technology coupled with virtual reality developed for this project will make physical therapy more accessible and productive than ever. © 2022 IEEE.

关键词： beaches

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Enhancing stock Market Prediction with an LsTM-Attention Model Integrating Macroeconomic and sentiment Features

Enhancing Stock Market Prediction with an LSTM-Attention Mod...

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2024 International Conference on Innovative Computing, Intelligent Communication and smart Electrical systems, ICsEs 2024

作者： suberiya begum, s. Fatima, N. sabiyath Abb.s. Mohamed B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Vandalur600048 India Peri Institute of Technology Department of Mechanical Engineering Chennai600048 India

ISBN: (纸本)9798331543617

The forecasting of stock price movements has remained an open issue for a long time because of the unpredictable and nonlinear patterns of the data. To improve the precision of time series models for stock market prediction, this paper presents a new LsTM -attention model. The proposed method is different from statistical and machine learning models as LsTM can model long-term dependencies in the temporal data and attention layer is used to handle with noise in stock price temporal data. Furthermore, this paper proposes an enhancement to feature engineering where the model has more contexts about the market through the use of macroeconomic indicators, sentiment analysis of financial news articles, and historical stock prices. Application of the model to historical data of major indices is shown in experiments that at an average of 89.7% prove the model to be a notable improvement over the b.s.line models. The methodology for time series forecasting is considered to be an improvement over current approaches for advancing accuracy of predictions in financial applications, especially stock markets, and is useful for investors and analysts in decision-making. © 2024 IEEE.

关键词： Prediction models

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