Hi,
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hi i'm a master student i need your help with ns2 simulator
if any on have a code for vod in p2p networks please help

INTEGRATION OF DISTRIBUTED GENERATION IN
MEDIUM VOLTAGE GRIDS - PROTECTION ISSUES
Keywords: Distributed Generation; Medium Voltage-grid; Protection;
ABSTRACT
At this moment climate change and CO2 reduction are hot topics in relation to en-
ergy production. Efforts are made to stimulate development of sustainable energy
sources, such as wind turbines and PV-systems. Also the combined heat and power
production is encouraged. This has lead to an increasing penetration of small gen-
erating units in medium voltage (MV) grids. Small generation units, also distrib-
uted generation (DG), can have a significant impact on power flow, voltage profile,
power quality and grid protection. In this article the effect of DG on grid protection
is studied in detail. The paper gives an overview of current protection practices in
MV-grids and shows how these practices are influenced by DG. A procedure is
derived to determine the impact on protection systems in advance which can be
helpful in the planning stage. To illustrate the effects a 3-bus test grid and an exist-
ing 20 kV cable grid including high penetration of DG-units is modelled in profes-
sional software. In the models the grid protection and the protection of the DG-
units are modelled as well. The simulations show that protection problems in com-
pact cables grids are not likely. In weak grids DG can cause a delay of fault clear-
ing which can lead to serious selectivity problems. In the paper it is demonstrated
that the effect of DG on grid protection is minimized by immediate disconnection
of the DG-units.

respected sir,
myself jinal shah student of diploma polytechnic of final year E&TC have selected this projct which is using RF transmitter,RF receiver, HT12E and HT12D..
I am badly in need for the complete project report including it's detail..
plz sir..help me out..
I am here with complete faith on u..

Project Abstract:

In present trend software applications are used in every day of our life in different areas like management, inventory systems, human resource management , colleges, shopping malls etc. Main advantage of using these applications is to reduce manual work and complete work in short time and security of data.

Main idea behind designing apartment management system is to help construction companies and maintenance services for handling maintenance details, billing details, hardware, resource management..Etc.

Advantages of this System:

This software will reduce manual work and maintain updates in database from time to time.

It is easy to handle works related to many apartments at a time without any confusion.

Data is secured and easy to retrieve old records in a short time

Project Design:

This project can be developed in two languages JAVA and vb.net. Here we provide vb.net project source code. Students can request for Java source code.

Download Apartment Management System Project source code in Vb.Net
Useful Links:

Apartment Management System Project Report

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Hi,
This is shobha, i have received msg as following
your application has been received GSC no-FD001100044051
could you please explain about this

Voice recognition (SR) is the interdisciplinary sub-field of computational linguistics that develops methodologies and technologies that allow the recognition and translation of spoken language in the text by computers. It is also known as "automatic speech recognition" (ASR), "computer voice recognition", or simply "speech to text" (STT). It incorporates knowledge and research in the fields of linguistics, computer science and electrical engineering.

Some SR systems use "training" (also called "inscription") where an individual speaker reads isolated text or vocabulary in the system. The system analyzes the person's specific voice and uses it to fine-tune that person's speech recognition, resulting in greater accuracy. Systems that do not use training are called "speaker independent" systems. Systems that use training are called "speaker dependent".

Voice recognition applications include voice user interfaces such as voice dialing (eg, "Call home"), call routing (eg, "I would like to make a collective call"), domotic device control, paging (For example, entering a credit card number), preparation of structured documents (for example, a radiology report), voice-to-text processing (eg word processors or e-mails).

The term speech recognition or speaker identification refers to the speaker's identification, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech into systems that have been trained in the voice of a specific person or can be used to authenticate or verify the identity of a speaker as part of a security process.

From the technological point of view, speech recognition has a long history with several waves of important innovations. More recently, the field has benefited from advances in deep learning and great data. Advances are evidenced not only by the wave of scholarly articles published in the field, but more importantly by the adoption in the global industry of a variety of deep learning methods in the design and deployment of speech recognition systems. These players in the speech industry include Google, Microsoft, IBM, Baidu, Apple, Amazon, Nuance, SoundHound, IflyTek, CDAC many of which have unveiled the core technology in their voice recognition systems as based on deep learning .

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