Introduction to Network Control Techniques (3). Introduction to Network Control Techniques; (3) Practical Network Techniques-Installing Network Cable-.
نویسندگان
چکیده
منابع مشابه
An Introduction to Network Tomography Techniques
Network tomography deals with the study of estimating the internal characteristics of a network from its end–point measurements. This paper begins with a quick overview of some of the related work in this field and introduces the problem of determining link success probabilities of a network tree from a sample of measurements at the nodes. Both single–source and multiple–source techniques for e...
متن کاملIntroduction to Robust Control Techniques
The theory of "Robust" Linear Control Systems has grown remarkably over the past ten years. Its popularity is now spreading over the industrial environment where it is an invaluable tool for analysis and design of servo systems. This rapid penetration is due to two major advantages: its applied nature and its relevance to practical problems of automation engineer. To appreciate the originality ...
متن کاملNetwork-centric Access Control: Models and Techniques
In both commercial and defense sectors a compelling need is emerging for rapid, yet secure, dissemination of information to the concerned actors. Traditional approaches to information sharing (such as Multi-Level Security (MLS)) adopted a node-centric model wherein each user (social subjects) and each object (information object) is treated in isolation (e.g., using clearance levels for subjects...
متن کاملNetwork Planning Using Iterative Improvement Methods and Heuristic Techniques
The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...
متن کاملApplication of statistical techniques and artificial neural network to estimate force from sEMG signals
This paper presents an application of design of experiments techniques to determine the optimized parameters of artificial neural network (ANN), which are used to estimate force from Electromyogram (sEMG) signals. The accuracy of ANN model is highly dependent on the network parameters settings. There are plenty of algorithms that are used to obtain the optimal ANN setting. However, to the best ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Institute of Image Information and Television Engineers
سال: 1998
ISSN: 1881-6908,1342-6907
DOI: 10.3169/itej.52.273