Tuning networks

Cisco DQOS Exam Certification Guide is a complete study tool for the DQOS and QOS exams, allowing you to assess your knowledge, identify areas to concentrate your study, and master key concepts to help you succeed on the exams and in your daily job. The book is filled with features that help you master the skills to tune enterprise networks through use of QoS tools that enable high profile, mission-critical traffic to perform at an optimal level. This book was developed in cooperation with the Cisco Internet Learning Solutions Group.

937p haojiubujain09 30-11-2023 4 4   Download

Ebook "Apache cloudstack cloud computing: Leverage the power of cloudstack and learn to extend the cloudstack environment" includes contents: Chapter 1: apache cloudstack architecture; chapter 2: installing apache cloudstack; chapter 3: apache cloudstack configuration; chapter 4: apache cloudstack networking; chapter 5: apache cloudstack storage; chapter 6: service offerings and virtual machines; chapter 7: domains, accounts, projects, and users; chapter 8: high availability and scaling; chapter 9: extending apache cloudstack and performance tuning.

294p haojiubujain08 01-11-2023 5 1   Download

Ebook Red hat Linux security and optimization part 1 includes contents: Chapter 1 performance basics, chapter 2 kernel tuning, chapter 3 filesystem tuning, chapter 4 network performance, chapter 5 web server performance, chapter 6 e-mail server performance, chapter 7 NFS and samba server performance, chapter 8 kernel security, chapter 9 securing files and filesystems, chapter 10 PAM, chapter 11 OpenSSL, chapter 12 shadow passwords and openSSH, chapter 13 secure remote passwords, chapter 14 xinetd.

371p haojiubujain06 05-09-2023 2 2   Download

This paper presents the method of determining the feature parameters and then using the Convolution Neural Network (CNN), Long-Short Term Memory networks (LSTM), and Convolutional Recurrent Neural Network (CRNN) to classify and identify some Vietnamese folk tunes as Quanho and Cheo.sing deep neural networks

21p vimulcahy 18-09-2023 5 3   Download

A magnetostrictive transducer (MT) is a highly integrated transducer that enables magneto-mechanical energy conversion when outputting actuation motion or force. To ensure high energy efficiency, an impedance tracking control strategy is proposed based on the variable stiffness tuning mechanism.

11p viberbers 09-08-2023 7 3   Download

Impressive characteristics of carbon fiber paper (CFP) electrodes propound greater demand in electrochemical applications. CFP has a network structure composed of interwoven carbon fibers (CFs). The macroporous structure, chemical inertness, high conductivity, low cost, corrosion resistance, good electrical properties, mechanical strength, and self-standing capabilities have led to the large-scale acceptance of CFP.

19p viberbers 09-08-2023 8 3   Download

In this paper, an artificial neural network (ANN) model was applied to forecast PM2.5 at the Coc Sau open–pit coal mine (Northern Vietnam) with fine–tuning parameters. It aims to provide the feasibility and insights into controlling air quality in open–pit mines using artificial intelligence techniques.

8p viironman 02-06-2023 8 3   Download

The multiscale pore structure of mesoporous silica microspheres plays an important role for tuning mass transfer kinetics in technological applications such as liquid chromatography. While local analysis of a pore network in such materials has been previously achieved, multiscale quantification of microspheres down to the nanometer scale pore level is still lacking.

7p vironald 15-12-2022 8 2   Download

In recent years, the Natural Language Processing community was impacted greatly by models based on the BERT architecture (Devlin et al., 2018). The Transformer-based Masked Language Model (MLM) has yielded significant improvement on many Natural Language Processing problems. However, it requires huge computing power and makes pre-training models a resource-consuming process.

7p visherylsandberg 18-05-2022 23 2   Download

Lecture Principles of network and system administration: Performance monitoring provide students with knowledge about performance testing; performance tuning; CPU; memory; disk; network; identify bottlenecks; performance tuning process; performance problem solutions; monitoring processes;...

26p tanmocphong 19-01-2022 12 2   Download

Tuning the selective sorption features of microporous organic networks is of great importance for subsequent applications in gas uptake and hiding, while it is more attractive in terms of being both time and cost effective to realize these optimizations without using functional groups in the core and linker. “Knitting” is one of the easiest and most used method to obtain a broad scope of hyper-crosslinked polymers on a large scale from aromatic structures that do not contain functional groups for polymerization.

26p tudichquannguyet 29-11-2021 10 1   Download

Metal tolerance is often an integrative result of metal uptake and distribution, which are fine-tuned by a network of signaling cascades and metal transporters. Thus, with the goal of advancing the molecular understanding of such metal homeostatic mechanisms, comparative RNAseq-based transcriptome analysis was conducted to dissect differentially expressed genes (DEGs) in maize roots exposed to cadmium (Cd) stress.

15p vitzuyu2711 29-09-2021 18 1   Download

MicroRNA regulation is fundamentally responsible for fine-tuning the whole gene network in human and has been implicated in most physiological and pathological conditions. Studying regulatory impact of microRNA on various cellular and disease processes has resulted in numerous computational tools that investigate microRNA-mRNA interactions through the prediction of static binding site highly dependent on sequence pairing.

11p vitzuyu2711 29-09-2021 12 1   Download

Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene copy number) or by modulating the intrinsic biochemical properties of a component (e.g., binding strength or catalytic efficiency).

12p vijisoo2711 27-10-2020 9 1   Download

Currently, in Vietnam electricity market, hydropower plants still account for a large proportion approximately 38%. Thus, study on control problems of the hydropower plants plays an extremely important role. Load – frequency control is one of the most significant control problems. Major objectives of such a control strategy are to focus on maintaining the system frequency at a nominal value (50Hz in Vietnam) and the tie-line power interchange at a scheduled value.

12p covid19 03-03-2020 45 1   Download

Looping is avoided in retrieving a particular data from huge datasets and it consumes less amount of time for executing the data. HDFS file system is used to store the data after performing the map reduce operations and the execution time is decreased when the number of nodes gets increased. The performance analysis is tuned with the parameters such as the HBase Heap Memory and Caching Parameter.

6p byphasse043256 24-03-2019 14 0   Download

In this paper, a flexible and robust wavelet based image denoising algorithm is proposed, which adapts itself to various and unknown types of noise as well as to the preference of the medical expert: a single tuning parameter is used to balance the preservation of relevant details against the degree of noise reduction.

6p byphasse043256 24-03-2019 15 0   Download

The proposed Perturb and Observe control algorithm is a software programme with a self-tuning function which adjusts the array reference voltage and step size of the voltage to achieve maximum power point. The validity of the photo voltaic module with P & O method allows better performance of MPPT due to variation of both power and voltage. This work is proposed to be carried out in MATLAB/SIMULINK environment.

8p girlsseek 27-02-2019 21 3   Download

In this paper, Lagrange formula is employed with the purpose of modelling both the kinematics and dynamics of a nonholonomic wheeled mobile robot (WMR) subject to unknown wheel slips, model uncertainties such as unstructured unmodelled dynamic components, and unknown external disturbances such as unknown external forces. Afterwards, an adaptive tracking controller based on a radial basis function neural network (RBFNN) with an online weight tuning algorithm is proposed for tracking a predefined trajectory.

16p thuyliebe 05-10-2018 50 0   Download

Learning objectives of this chapter include: Describe how OSPF creates neighbor adjacencies in a multiaccess network, describe the method and command used to propagate a default route within the OSPF area for IPv4 and IPv6, examine the methods of fine-tuning OSPF for IPv4 and IPv6 on interfaces,...

47p youcanletgo_01 04-01-2016 54 3   Download