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“Interruption Marketing, To Build Your Network Marketing Business Doesn’t Work”

Interruptive marketing is when advertisers force their advertising on you, like through a TV or radio commercial. Don’t use it to try and build your network marketing business.

If you’re listening to your favorite radio station and out of nowhere an advertisement from some local car dealership that screams and shouts stupid, child like offers over, and over comes on, most of us quickly change stations to avoid hearing their rhetoric. We literally tune it out. It is not much different when building your network marketing business. People can “tune us out,” too.

Here are 4 Key network marketing tips for preventing network marketing leads from tuning you out.

One: When you are calling your network marketing recruiting list, and they answer the phone, politely ask if they have a minute? If you “interrupt” them at the wrong time they will tune you out. That is not a good network marketing strategy. If you want to become a network marketer who is even moderately successful, you simply have to employ the simple network marketing strategy of asking if they have a minute.

Two: Radio people and car dealerships think we are stupid. One minute they tell us their cars will all be sold in the next 10 minutes. Next minute, it’s such a fantastic offer that they will be open until midnight. When building your network marketing business we make those same mistakes. Your network marketing strategy like many MLM network marketing training gurus suggest is to call your network marketing leads with this months special. You tell your network marketing leads that this “special” ends on (fill in the blank) day. The next thing you know you are telling them about your network marketing program (2 weeks later) and your fantastic offer has been extended (again). They of course tune you out. Not exactly a good network marketing strategy, but it is done every hour of every day.

When building your network marketing business, forget the hype. Forget the special. Features tell. Benefits sell. When showing someone your network marketing program, tell your network marketing leads that you have the fastest left handed widget on the market (feature). Then tell your network marketing leads that because it is the fastest, they can then get their widget work done in less than half the time of any other widget (benefit). That is one sound network marketing strategy (feature) to better help you become a network marketer who earns a lot more money (feature).

Three: We are told that to build your network marketing business, it is a numbers game. You have to call hundreds of network marketing leads to find the “diamonds”.

Just keep at it, that is the typical MLM network marketing training.

If it doesn’t work after the first one hundred, shouldn’t logic tell us that it “ain’t gonna work” for the second hundred either? Old school mlm network marketing training teaches us that if 3 people start buying your left handed widget from you, instead of “Walleymart” or store X (and you being their family or friend) that they would rather buy from you. Now go find 3 network marketing leads who find 3 network marketing leads, who find 3 and convince them to do the same. It can’t be any better than that. HA! That is NOT a good network marketing strategy either.

When building your network marketing business today, why not use a network marketing program using today’s technology?

Unfortunately people are slow to keep up with the times. Time has passed most of them by and left them bleeding, dead or dying in the ditch and dead broke.

Four: Network marketing programs that use Automated Marketing Systems (feature) make more money in less time with more programs (benefit) than any other network marketing program out there. That is a great network marketing strategy for building your network marketing business.

Using Automated Marketing Systems to build your network marketing business is the best network marketing strategy to cash in big time with the social networks like facebook, youtube, twitter and others. Automated Marketing Systems allow you to monetize even more network marketing opportunities like funded proposal marketing and multiple streams of income.

If you’re not achieving success building your network marketing business, follow these Four network marketing tips. Its time to build a solid foundation with a solid network marketing strategy. Network Marketing Success in the Information age is about implementing new and better ways of automated marketing (feature). It’s not hard. In fact, it’s quite simple and will, One: make your life a whole lot easier, and Two: Make you a lot more money (benefit) when you implement these automated systems as your network marketing strategy they can and will take you over the T O P (Total Ongoing Prosperity).

Tags: Build, Business, Doesn't, Interruption, Marketing, Network, work

Computer Network Security Services

A good network security ensures that your company meets the mandatory regulatory compliance because network security helps protect sensitive data and reduces the risk of legal action from affected parties due to data theft. Small business network security also saves your company a lot of embarrassment by not getting bad media attention that follows any security breach, it also protects from unwanted (and usually expensive) disruptions. Ultimately, network security ensures the protection of your most important asset – your business reputation. This article explains the concept of network security in simple lay terms.

In short, network security services measures are implemented to protect the computers in your office by ensuring their integrity, reliability, usability and safety of your computer network and data. Effective network security targets a variety of threats and stops them from entering or spreading on your network.

Computer Network Security concepts

Network security starts from authenticating the user, commonly with a username and a password. Since this requires just one thing besides the user name, i.e. the password which is something you ‘know’, this is sometimes termed one factor authentication. With two factor authentication something you ‘have’ is also used (e.g. an ATM card, or your mobile phone), or with three factor authentication something you ‘are’ is also used (e.g. a fingerprint).

Once authenticated, a firewall enforces access policies such as what services are allowed to be accessed by the network users. Though effective to prevent unauthorized access, this component may fail to check potentially harmful content such as computer worms or Trojans being transmitted over the network. Anti-virus software or an intrusion prevention system (IPS) helps detect and inhibit the action of such malware. An anomaly-based intrusion detection system may also monitor the network and traffic for unexpected (i.e. suspicious) content or behavior and other anomalies to protect resources, e.g. from denial of service attacks or an employee accessing files at strange times. Individual events occurring on the network may be logged for audit purposes and for later high level analysis.

Implementation of Network Security

Network security and Wireless Network Security measures include but are not limited to installation of up-to-date anti-virus and anti-spyware, anti-adware, properly configured state-of-the-art firewalls, intrusion prevention systems and virtual private networks (VPN’s), to ensure secure remote access.

Our network implementation solution consists of a number of services. These complement the design implementation and ongoing management of multi-service communications systems. Our computer network consulting services can be provided as a one-off project or as part of an ongoing management service as needs determine.

Our expertise at a glance:

•    LAN/WAN networking and computer networking solutions
•    Multi-service networking
•    Network security
•    Server and host networking
•    Wireless networking
•    Voice and data network integration

When implementing technology, robust implementation and deployment practices are essential. From planning, to installation, testing, rollout and even production – we can help you to ensure any new implementations are smooth, are delivered on time, and on budget.

Major Benefits of Network Security

A good network consulting services ensures that your company meets the mandatory regulatory compliance because network security helps protect sensitive data and reduces the risk of legal action from affected parties due to data theft. Network Security also saves your company a lot of embarrassment by not getting bad media attention that follows any security breach, it also protects from unwanted (and usually expensive) disruptions. Ultimately, network security ensures the protection of your most important asset – your business reputation.

For more information, please call BEL Network Integration & Support, LLC (BELNIS) a US web hosting and computer network repair Company at (804) 796-2631. BELNIS has a 21-year track record for providing quality solutions to business establishments and government offices throughout Richmond & Tri-Cities area in the State of Virginia, USA.

Click for Server data backup and Computer network support

Tags: Computer, Network, Security, Services

Network simulator 2- NS2

Introduction Network Simulator 2:

The starting development in the field of network simulation was made by Lawrence Berkley at the National Laboratory by developing a network simulator named Network Simulator 1(NS1) in the year 1995. Then the development moved further with the launch of Network Simulator 2 (NS2) which had more advanced versions, enhanced features and support of real time simulation. Examining designing of protocols, their communication between each other and performance related issues are taken care of by NS2 apart from developing the real time networks. Important role is played by NS2 in the present world. Network Simulation 2 software is also used for education purpose. In the field of education NS2 has provided the students to carry out real time research of different networks and the license provided is free of cost.

As NS2 is an open source Network Simulator more new versions of NS2 are being researched on and will be available soon in the market (Floyd S, Roy S, Henderson T and Riley G, 2006). Other network simulators like NetSim, OPNET, QualNet, AnyLogic are available in the market, but in accordance to a survey made from the year 2000-2005, NS2 is the most demanding and popular simulator in the market. It was used to simulate around 44% of all the simulations (Kurkowski S, Camp T, Colagrosso M, 2005). The official website from where this simulator can be downloaded is http://www.isi.edu., and all the documentation and related tutorials to use the NS2 can be acquired from the website http://www.isi.edu/ns/tutorial. NS2 can be installed on different O.S like Windows, UNIX, Linux, Solaris etc. the recommended operating systems to run NS2 is UNIX and Linux.

Ease of use:

If a system is user friendly then it becomes more demanding and popular in the market. But if NS is being used on Linux then it becomes some what difficult for the user as Linux is totally a command based operating system. When NS is being used on Windows it becomes easy for the user as it is a friendly O.S. As we only talk of NS then it is very easy to use software and the tools provided by it are very easy to use too by even a beginner. The factors which make NS2 a user friendly and the most demanding software are:

Language Support:

The computer languages like C++ and OTcl which are easily understood by the user are supported by NS2. Network Simulation is created by using the language OTcl.  The response of OTcl language is quick and recompilation of the code is needed by this language. The code takes more time to run the Simulation. On the other hand C++ is used as a system level program language. It manipulates bytes and headers to run different algorithms in large data sets. The compilation time taken by C++ is more than the time taken by the Simulation itself. The objects which are not present in the libraries can be created by using C++. As compared to OTcl, C++ is slow in implementing the changes and the structure of the syntax is complex.

Protocol Support:

NS2 supports multiple protocols which is a positive factor in the demand and popularity of the simulator. By this feature of NS2 it is an appropriate simulator for many networks. NS2 supports protocols of TCP/IP at different OSI layers. Some of the protocols are TCP, UDP, CBR, FTP etc. as application layer of OSI model protocols.

TCP:

Transmission Control Protocol (TCP) works in the direction of making a connection between nodes before any communication is to be done. OSI transport layer support this protocol. When the connection is established it should be error free, acknowledgement of packet received by the user on the other side and retransmission of packet if it is lost during transmission. The packets which are transferred from source to receiver is acknowledged by the receiver it receives the packet with out any errors. In any case an error is reported by the receiver then the packet is to be re-transmitted. Every packet sent from the source is sent after receiving an acknowledgement from the receiver. When compared to UDP connection TCP is slow as UDP does not waits for any acknowledgement from the receiver.

FTP:

File Transfer Protocol (FTP) is the protocol used by TCP in client/server architecture. Two connections of TCP are made by this protocol; one will be for the connection to be established and the other to transfer files. Uploading and downloading of files on the web is the best example of FTP.

UDP:

User Datagram Protocol (UDP) is a protocol used for node to node transmission and is unreliable and connection-less. Bursting of bits is the transmission method used in this protocol. Video streaming is the best example of UDP traffic. In video traffic any clip which gets missed cannot be recovered and in an UDP the packets which are lost can’t be recovered. There is no acknowledgement of packet received by the receiver in UDP connection.

CBR:

Constant Bit Rate (CBR) uses UDP protocol for transmission and transmission takes place in continuous form of bits. Constant bandwidth is used during the whole transmission. ATM circuits usually use the CBR traffic.

Graphical Representation Support:

Two graphical representation techniques are used by the NS2 to show the results of the simulation. They are Nam and Xgraph. The real time simulation results are displayed the graphical tool Nam. Nam visually shows the topological design of the simulation network as output and also displays the communication between the nodes as representing the exchange of packets between the nodes. The traffic can be monitored and behaviour too by the designer by using the analyzing tools which shows the position of the network at different times in accordance to the real time simulation.

Xgraph is another technique used to display the simulation results in the form of a graph. Before the simulation a trace file is created and the simulation results are saved in the trace file by utilizing simulation file. The data sets are used for the generation of Xgraph are saved in trace file; hence the trace file becomes the input of the program to generate the Xgraph.

Cost factor of the Simulator:

The cost of the NS2 simulator is nothing as it is free to download for education and research purpose. It is used to simulate large networks and this simulation will cost nothing when compared to the real network implementation. The hardware side of the simulator is cost effective as it needs a machine, O.S and C++ compiler which have to be purchased. O.S like windows have to be purchased but the Linux is available free of cost in the markets. When simple scenarios are to be compiled they will run on normal machines, but when the network is large where the scenario will be also large there we need a machine with large memory which will be cost effective.

The cost of simulation is very less when compared to real implementation of the network. According to the requirement, the network designer designs the network using the simulator on the basis of topology and the network traffic. The results of this simulator are used by the designer to analyze the design. If the designer wants to make any changes in the design then it becomes easy by checking the results.  If the same is considered in real implementation of the network then it would be cost effective and it would also not be as simple to change the network structure and check the results every time and if done so then it would mean a big investments in implementing the changes and time consuming.

If a designer pays for a simulator software and the machine and other software or tools required for simulation then it would be much less than the cost of testing a real network, as real time implementation includes the cost of the cables, hardware, installation, network management and failure recovery. The simulation of a network on a machine would cost around few hundreds but the cost of real implementation would run into bills of few hundred thousand. When a simulation is done on a machine on a network and if there are any changes to be made they will be covered under the same cost, but in real time implementation the change in network structure will require additional amount. So the results on a simulator are much cheaper and reliable when compared to real time implementation of the network.

NS2 Limitations:

NS2 is widely used for research but it has some limitations. It uses traces and monitors for data collection (Stea G, Mingozzi E and Cicconetti C, 2006). Monitor just gives the display of behaviour information of the queues in the network whereas the Trace gives the log information of packet queuing, dropping, forwarding etc. CIDR (classless inter-domain routing) and subnetting are not provided by the NS2 emulation. Support for variable bit rate (VBR) is not there in NS2 as like that of CBR support it provides. At present VBR is used for audio/video streaming in the real networks. NS2 does not support processing delay but support different delays like propagation, queuing and transmission. It has limited functions when the scenario is of a big large network. In a large network there are hundreds of nodes to simulate and NS2 can’t give the results of that much large simulations. It is like the more the nodes the slow the simulation becomes.

More enhancements are to be done on NS2 and it is still in development stage especially in the area where classes of mobile node and position handling are required for more enhancements.

Support Material:

Networking research is done using this simulator NS2 which is a separate event simulator. There are many versions available of Network Simulator 2 in the market and they have been developing since the year

Tags: Network, simulator

How to Set Up Network File Sharing

What is network file sharing and why do I need it?

Every person that users computer or smartphone very often needs to view, copy or move files between the desktop computers, laptops, netbooks and smartphones. The files may be images, music, video files or documents. The easiest way to transfer files from one computer to another (PC to PC, Mac to Mac, PC to Mac, and vice versa) is by using a home network (also known as LAN – Local Area Network). LANs can be wired (with network cables), wireless (Wi-Fi), or a combination of the two. LANs are also widely used in most businesses.

Even if you have only one computer (or only one laptop or netbook) you still can benefit greatly from a home network if you have a smartphone or network attached storage device (NAS, basically a hard disk with network connection). Once you have a working network, you have to set up the network file sharing: the ability to share all the files in given disks or folders with the other computers on the network.

Within a network, every computer, laptop, nettop or NAS device must have a unique name (network computer name), which is used to find and connect to this computer. Every computer or NAS device may share one or more folders that will be visible from the other computers (or smartphones). Such folder is called network share or shared folder and must have a unique name within the computer.

For example, your desktop PC may have the name Atlas and to provide few network shares: Downloads, Music and Photos. If you want to connect to one or more of these shares, you will have to use the following addresses: \Atlas\Downloads, \Atlas\Music and \Atlas\Photos.

How to set up a home network (LAN)

Besides the sharing of files, the other two major uses of a home network are the internet connection sharing and the printer sharing. The first one allows all computers (and smartphones, if you have a Wi-Fi router or access point) to use your ADSL or cable internet connection and the second one allows you to print documents from one computer to a printer that is attached to another computer (or directly to the network). If you already have these services, then you have a working home network and you just need to set up the network file sharing.

First, you need to build the physical (hardware) part of your network. Basically, you need to connect together all computers that will participate in the network. Then you may need to change the settings of the computers depending on their operating system. The following guides are good source of information about the needed hardware and configuration settings:
http://mobile.milincorporated.com/my-explorer-network-sharing-setup.html#ch2

Accessing your network shares from your smartphone with myExplorer

At this point you have a working Wi-Fi network and some network shared folders on one or more computers (or network storage devices – NAS). All you need to do is to add the network shares that you want to access to your myExplorer application on the smartphone.

Start the myExplorer application and you will see its main screen. Tap the Add button on the lower left corner of the screen and the Add network folder form will appear. You have to enter the following things:

* Computer name. This is the network name of the computer that you want to access. In the (very rare) cases when the NetBIOS name service is not enabled on your network, you can enter the exact IP address of the computer in the field Computer IP address. Even in such case, you can still fill the Computer name field to see more familiar name instead of IP address in myExplorer main screen.
* Folder (share) name. This is the exact name of the network share that you have created on this computer.
* Computer IP address. Optional field, use only if there is no NetBIOS name service on your network (i.e. almost never).
* WINS server IP address. Optional field, use only if you have a WINS server (this is the case only in some business networks).
* User name. The user name of the account that have the right to access the network share. You can leave this field empty if you are using anonymous (guest) account.
* Password. The password of the account that have the right to access the network share. You can leave this field empty if you are using anonymous (guest) account.

After you fill the required fields, tap the Save button and you are done! You will see the new network share on the myExplorer main screen (it will appear in the form \Atlas\Photos – Atlas is the name of the computer and Photos is the name of the network share). In order to enter the network folder, you just need to tap the network share.

Learn all about accessing your network shares from your smartphone:
http://mobile.milincorporated.com/my-explorer-network-sharing-setup.html#ch4

Tags: File, Network, Sharing

neural network

What is a Neural Network?

First of all, when we are talking about a neural network, we should more properly say “artificial neural network” (ANN), because that is what we mean most of the time. Biological neural networks are much more complicated than the mathematical models we use for ANNs. But it is customary to be lazy and drop the “A” or the “artificial”.

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well.

Historical Background of Neural Networks

Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, and has survived at least one major setback and several eras.

Many importand advances have been boosted by the use of inexpensive computer emulations. Following an initial period of enthusiasm, the field survived a period of frustration and disrepute. During this period when funding and professional support was minimal, important advances were made by relatively few reserchers. These pioneers were able to develop convincing technology which surpassed the limitations identified by Minsky and Papert. Minsky and Papert, published a book (in 1969) in which they summed up a general feeling of frustration (against neural networks) among researchers, and was thus accepted by most without further analysis. Currently, the neural network field enjoys a resurgence of interest and a corresponding increase in funding.

The history of neural networks that was described above can be divided into several periods:

First Attempts: There were some initial simulations using formal logic. McCulloch and Pitts (1943) developed models of neural networks based on their understanding of neurology. These models made several assumptions about how neurons worked. Their networks were based on simple neurons which were considered to be binary devices with fixed thresholds. The results of their model were simple logic functions such as “a or b” and “a and b”. Another attempt was by using computer simulations. Two groups (Farley and Clark, 1954; Rochester, Holland, Haibit and Duda, 1956). The first group (IBM reserchers) maintained closed contact with neuroscientists at McGill University. So whenever their models did not work, they consulted the neuroscientists. This interaction established a multidiscilinary trend which continues to the present day.

Promising & Emerging Technology: Not only was neroscience influential in the development of neural networks, but psychologists and engineers also contributed to the progress of neural network simulations. Rosenblatt (1958) stirred considerable interest and activity in the field when he designed and developed the Perceptron. The Perceptron had three layers with the middle layer known as the association layer.This system could learn to connect or associate a given input to a random output unit.

Another system was the ADALINE (ADAptive LInear Element) which was developed in 1960 by Widrow and Hoff (of Stanford University). The ADALINE was an analogue electronic device made from simple components. The method used for learning was different to that of the Perceptron, it employed the Least-Mean-Squares (LMS) learning rule.

Period of Frustration & Disrepute: In 1969 Minsky and Papert wrote a book in which they generalised the limitations of single layer Perceptrons to multilayered systems. In the book they said: “…our intuitive judgment that the extension (to multilayer systems) is sterile”. The significant result of their book was to eliminate funding for research with neural network simulations. The conclusions supported the disenhantment of reserchers in the field. As a result, considerable prejudice against this field was activated.

Innovation: Although public interest and available funding were minimal, several researchers continued working to develop neuromorphically based computaional methods for problems such as pattern recognition.

During this period several paradigms were generated which modern work continues to enhance.Grossberg’s (Steve Grossberg and Gail Carpenter in 1988) influence founded a school of thought which explores resonating algorithms. They developed the ART (Adaptive Resonance Theory) networks based on biologically plausible models. Anderson and Kohonen developed associative techniques independent of each other. Klopf (A. Henry Klopf) in 1972, developed a basis for learning in artificial neurons based on a biological principle for neuronal learning called heterostasis.

Werbos (Paul Werbos 1974) developed and used the back-propagation learning method, however several years passed before this approach was popularized. Back-propagation nets are probably the most well known and widely applied of the neural networks today. In essence, the back-propagation net. is a Perceptron with multiple layers, a different thershold function in the artificial neuron, and a more robust and capable learning rule.

Amari (A. Shun-Ichi 1967) was involved with theoretical developments: he published a paper which established a mathematical theory for a learning basis (error-correction method) dealing with adaptive patern classification. While Fukushima (F. Kunihiko) developed a step wise trained multilayered neural network for interpretation of handwritten characters. The original network was published in 1975 and was called the Cognitron.

Re-Emergence: Progress during the late 1970s and early 1980s was important to the re-emergence on interest in the neural network field. Several factors influenced this movement. For example, comprehensive books and conferences provided a forum for people in diverse fields with specialized technical languages, and the response to conferences and publications was quite positive. The news media picked up on the increased activity and tutorials helped disseminate the technology. Academic programs appeared and courses were inroduced at most major Universities (in US and Europe). Attention is now focused on funding levels throughout Europe, Japan and the US and as this funding becomes available, several new commercial with applications in industry and finacial institutions are emerging.

Today: Significant progress has been made in the field of neural networks-enough to attract a great deal of attention and fund further research. Advancement beyond current commercial applications appears to be possible, and research is advancing the field on many fronts. Neurally based chips are emerging and applications to complex problems developing. Clearly, today is a period of transition for neural network technology.

Why use neural networks?

Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A trained neural network can be thought of as an “expert” in the category of information it has been given to analyse. This expert can then be used to provide projections given new situations of interest and answer “what if” questions.

Other advantages include:

Adaptive learning: An ability to learn how to do tasks based on the data given for training or initial experience.
Self-Organisation: An ANN can create its own organisation or representation of the information it receives during learning time.
Real Time Operation: ANN computations may be carried out in parallel, and special hardware devices are being designed and manufactured which take advantage of this capability.
Fault Tolerance via Redundant Information Coding: Partial destruction of a network leads to the corresponding degradation of performance. However, some network capabilities may be retained even with major network damage.

 
 
 
 
 
Neural networks versus conventional computers

Neural networks take a different approach to problem solving than that of conventional computers. Conventional computers use an algorithmic approach i.e. the computer follows a set of instructions in order to solve a problem. Unless the specific steps that the computer needs to follow are known the computer cannot solve the problem. That restricts the problem solving capability of conventional computers to problems that we already understand and know how to solve. But computers would be so much more useful if they could do things that we don’t exactly know how to do.

Neural networks process information in a similar way the human brain does. The network is composed of a large number of highly interconnected processing elements(neurones) working in parallel to solve a specific problem. Neural networks learn by example. They cannot be programmed to perform a specific task. The examples must be selected carefully otherwise useful

Tags: Network, Neural