Video Surveillance System : A Centralised Monitoring System

Video Surveillance System is used for the purpose of monitoring the peoples to note their behavior and activities usually for managing or protecting them mostly from threats. Video Surveillance includes observation of peoples from a remote distance with the use of electronic equipments such as CCTV cameras, traffic cameras, interception of Internet traffic, and interception of video calls.

Video Surveillance System is most important thing for governments to maintain social control in the country or state to recognize and monitor threats and easy to investigate criminal activity so that it can be prevented.

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 Video Surveillance cameras are used for the purpose of observing an area so that we can take note of activity of that area. These video surveillance cameras are connected to an electronic recording device at back end and continuously watched by security personals so that they can keep a watch on that particular area from central system. The tools used in video surveillance system used to be relatively expensive and every time it requires a human interaction to monitor camera footage but by the advancement of technology and by the use of automated software it becomes simple. Automated software makes use of searchable database and video analysis software to analyze digital video footage so that the possible threats can be detected.  

Types of storage technologies:

• Storage area networks
• Network video recorders
• Direct attached storage
• Digital video recorders
• Network attached storage
• Unified storage or Hybrid storage

The disadvantage of video surveillance system is that is very expensive because of its expensive tools.  But nowadays with the use of cheaper production techniques surveillance cameras are simple and so inexpensive that they can be deployed at homes for security purposes.

American government spending billions of dollars per year in Homeland Security to install advanced video surveillance equipments to observe peoples, places or things so that the data can be used by security agencies to investigate criminal activities or to find suspicious activities.  

Chinese government is working closely with several US companies such as Honeywell, IBM and General Electric to install millions of surveillance cameras throughout china along with the some advanced technologies such as facial recognition system and video analytics software which will help Chinese government to identify and track individuals everywhere and wherever they go. 

The Defense Advanced Research Projects Agency is funding a research project related to video surveillance called Combat Zones. This Project consists of linking up cameras across a city to a centralized monitoring station so that security agencies can use that data to identify and track peoples and vehicles and report any suspicious activity. 

Many times governments claim that cameras are meant to be used for traffic control but most of the time they end up doing general surveillance. 

Market Report:

It is expected that there is an increase in adoption of Video Surveillance Storage solutions as top vendors and companies related to video surveillance market are developing cost effective and technologically advanced solutions and in addition they they are heavily investing in the storage solutions. Global Video Surveillance Storage Market is forecasted to reach to $10.41 billion by 2018 from $4.90 billion in 2013 at an Compound Annual Growth Rate CAGR of 16.3 % from 2013 to 2018.

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Intelligent Transportation Systems : An Intelligent Solution for Transportation Management

Intelligent transportation system is the advanced application system which contain its own intelligence whose aim is to provide innovative services relating to different modes of traffic and transport management and enable the users with the better information, safer journey, better coordination and smarter use of transportation system.

Intelligent transportation systems are varied on the basis of technologies used.

 

Basic management systems are as follows:

• Car navigation
• Traffic signal control systems
• Container management systems
• Variable message signals
• Automatic number plate recognition
• Speed cameras are used to monitor various applications such as CCTV systems

Advanced applications are as follows

• Parking guidance
• Information systems
• Weather information 

Transportation system states about how the advanced transportation control system is taking the real time decisions such as solving traffic congestion problem with the use of intelligence. These solutions provide businesses with various profits such as making smarter and faster business decisions with the use of advanced analytics and improving customer satisfaction with. There is a vast network of the transportation systems which consist of road, air, rail, and sea. The applications and solutions are needed to address the challenges emerging from the intelligent networks such as reducing environmental impacts, improving operational efficiency and promising security and safety.

 

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There is increase in population due to the migration of the people from rural areas to the cities which directly leads to traffic congestion. Traffic congestion increases the traveling time, air pollution and fuel consumption. So to overcome this problem many countries including USA, Germany, UK, Japan and others are using intelligent transportation systems. The transportation system moves peoples and good safely, quickly and securely through the country and globally.

The Transportation Systems consists of seven key modes

 

• Highway Infrastructure and Motor Carrier includes roadway, tunnels and bridges. Vehicles include motorcycles, automobiles, trucks, commercial freight vehicles, motor coaches and school buses.
• Freight Rail consists of smaller railroads, active railroad, cars and locomotives. 
• Maritime Transportation System includes coastlines, ports, waterways and Exclusive Economic Zones.
• Mass Transit and Passenger Rail consist of buses, cars and rail transit.
• Pipeline Systems consist of vast networks of pipeline.
• Postal and shipping includes messages, products, and financial transactions.
• Aviation includes aircraft, air traffic control systems, public airports, heliports,  commercial airports, landing strips, military airports, short takeoff, heliports and landing ports.

Market Report:

The Global Transportation Systems Market is expected to rise at a Compound Annual Growth Rate of 15.4% from 2013 - 2018. It is expected that the market will grow from $28.09 billion in 2013 to $57.46 billion by 2018.

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Network Configuration Management And Change Management : Why spend time manually configuring network devices.

Number of Computers inter-connected to each other with the help of some components is called as computer network and the process of organizing and maintaining the information about the components of that computer network is called as Network Configuration Management. 

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As computer network is widely used in an organization and due the wide usage it requires maintenance, repair, expansion, modification frequently and every time it is not possible for a network administrator to look for each and every components and their faults, so to make this process easy the administrator make the use of the network configuration management database to determine the best. The database of network configuration management contains the network address and the locations of all hardware devices with the information about the versions, programs and updates installed on network computers.

Network Configuration Management tools are in different versions such as vendor neutral or vendor specific.

Vendor Neutral tools are designed for networks containing programs and hardware from multiple suppliers. 

Vendor Specific tools are usually designed for the products of a single company and it can offer enhanced performance in networks.

Advantages of Network Configuration Management

• It helps to optimize network security and protects from harmful security breaches.
• It helps to streamline the processes of expansion, maintenance, repair and up gradation.
• It also helps to archived the detail of all changes happened in network configuration.
• It helps to minimize configuration errors.
• It also stores history of configuration so that we can roll back to any previous configuration if results are unsatisfactory or not up to the mark.
• It helps to minimize downtime.
• It also ensures that changes made to a device or system do not affect adversely to other devices or systems.

Change Management:

The name itself suggest that it plays the important role in the changes happen to take place in network configuration. Change Management process can be defined as the process of requesting, determining, planning, implementing, and then evaluating the changes taken place into a network configuration. The two main goals of change management are to support the processing of changes and enabling traceability of changes.

There are five main activities which combines and forms the change management process are as follows:

1. Identify potential change.
2. Analyze change request.
3. Evaluate change.
4. Plan change.
5. Implement change and Review and close change.

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Market Forecast and Analysis:

Let us know about the most important factor and that is Market Forecast and Analysis. The Network Configuration and Change Management Market is forecasted to experience a huge growth in the coming years. MarketsandMarkets, the top research firm expects the total revenue of $1,368.2 million by 2019 from $965.0 million in 2014 which represents a CAGR of 7.2% from 2014 to 2019.

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Higher Education Software

Higher Education Software

The global higher education market has been an emerging market since the last twenty years but now its growth is faster then ever before. The present no. of key players in this market are education and testing companies, private institutions, ministries of education and government institutes. In this market there is a competition between government and private educational institutions to attract faculties and students from all around the world. This competition rises the need for the governments and private institutes to tie-up with international universities and business partners for the purpose of alliance and research funds.

Due to the high competition in this higher education services area, colleges and universities are moving towards the adoption of advanced technology and therefore it is expected that more than 70% of the educational platforms would be cloud based with the use of internet.

In Today’s scenario higher educational institutions are not spending much on technology due to financial problems. But with the increase in competition in this market among institutions, the need of technology will increase and it will lead to the faster deployment of cloud based resources.

Advantages of Educational Software:

• It saves lot of time.
• It is cost effective.
• It increases the accuracy of checking because of no human interaction.
• It makes the educational process transparent.
• No chances of cheating.
• Distance learning is possible so no geographical limitations anyone can learn from any country in any institution.

Types of Educational Software

Reference software

Online encyclopedia and dictionary applications are the examples of reference software

Course ware

In this type of Educational Software course material such as chapters, tests, and other material with software such html pages, pdf files or can be other types of document files.

Classroom

This type of Educational Software is projected onto a large whiteboard in front of the class and executed simultaneously on a network of desktop computers in a classroom. This type of software is also called as classroom management software.

Assessment software

This type of Educational Software permit students to complete tests and examinations on a computer software usually networked. Software in corporate training and tertiary education and many other.

Market Report

Recent study in this field says that the total global higher education market will reach at $65.83 billion in 2019 from $43.06 billion in 2013 at a CAGR of 7.5%.



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Predictive Analytics : A Complete Analytical Solution to Business Problems

We all know that organizations or business persons are always worried about the future of their business and the competition they are going to face in future. So to make all this easy there is a solution called predictive analytics which will not solve the problem but definitely it will help you to worry less or to see the future of your business.

What is Predictive Analytics?

Predictive Analytics is used to predict the future of business on the basis of past performance. Predictive analytics is the practice of using existing data sets to extract information from it so that the information can be used to determine the patterns and to predict future. It does not tell you what will happen in the future but it forecasts what might happen in the future. The prediction has acceptable level of reliability and it also tells about scenarios, risk assessment and opportunities. 

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Predictive analytics contains a variety of statistical techniques like machine learning, modeling and data mining which are used to analyze current and historical facts to make predictions about future.

Predictive analytics is used in marketing, actuarial science, financial services, insurance, retail, telecommunications, pharmaceuticals, travel, healthcare, and many other fields. In business, predictive models utilize the patterns found in historical and transactional data to recognize risks and opportunities.

Applications:

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·        Cross Sell     

·        Direct Marketing 

·        Clinical decision support systems 

·        Risk Management 

·        Customer Retention 

·        Fraud Detection 

·        Product or Economy level prediction  

·

Predictive Models and Analysis: 

 

There something more to say about Predictive Analytics. Predictive Models and analysis are mostly used to forecast future probabilities. Predictive models are used to analyze current data and historical data in order to understand better about customers, partners and products and to identify potential risks and opportunities for a company expected to face in future. It uses some techniques such as including data mining, machine learning and statistical modeling to help analysts to make future business forecasts.

Predictive analytics is the new approach towards business intelligence technology that is helpful to produce a predictive score for each customer or other organizational element. Predictive model is responsible for assigning these predictive scores. In turn, Predictive models are trained over your data, learning from the past experience of your organization.

Market report published by top research firm MarketsandMarkets forecasts that the global Predictive Analytics Market expected to grow from $1.70 billion in 2013 to $5.24 billion in 2018 at a Compound Annual Growth Rate (CAGR) of 25.2% from 2013 to 2018.

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