Seminar on CRM

Customer relationship management(CRM) is a widely-implemented strategy for managing a company’s interactions with customers, clients and sales prospects. It involves using technology to organize, automate, and synchronize business processes—principally sales activities, but also those for marketing, customer service, and technical support. The overall goals are to find, attract, and win new clients, nurture and retain those the company already has, entice former clients back into the fold, and reduce the costs of marketing and client service. Customer relationship management describes a company-wide business strategy including customer-interface departments as well as other departments. Measuring and valuing customer relationships is critical to implementing this strategy.

Benefits of CRM

A CRM system may be chosen because it is thought to provide the following advantages:

• Quality and efficiency
• Decrease in overall costs
• Decision support
• Enterprise agility
• Customer Attention

Power point presentation on CRM

Customer Relationship Management (CRM)

CRM in Marketing

CRM 2

SAP CRM Internet Sales Online Services for Prospective

CRM Presentation

Pricing Overview for CRM 3.0

crm ppt

Project - Wireless Surveillance System

This project implements a networked video surveillance system in digital logic. It allows a user to view video input from a remote camera on a VGA monitor by capturing camera data, encoding it, transmitting it wirelessly, and subsequently receiving, decoding, and re-displaying the data. To test the system, the project is divided into three main components: video capture/display, data encoding/decoding, and wireless transmission/reception. Each part is put through a comprehensive series of tests using Model Sim and simulated data. Once each component passes design and functional tests, all three components are then connected to transmit video data wirelessly

                 

Project Files

Presentation (PDF)

Report (PDF)

Report Appendix (PDF)

Source : MIT university

Project Abstract - Hospital Management System

A hospital information system (HIS), variously also called clinical information system (CIS) is a comprehensive, integrated information system designed to manage the administrative, financial and clinical aspects of a hospital. This encompasses paper-based information processing as well as data processing machines.

It can be composed of one or a few software components with specialty-specific extensions as well as of a large variety of sub-systems in medical specialties (e.g. Laboratory Information System, Radiology Information System).

 

              

 

CISs are sometimes separated from HISs in that the former concentrate on patient-related and clinical-state-related data (electronic patient record) whereas the latter keeps track of administrative issues. The distinction is not always clear and there is contradictory evidence against a consistent use of both terms.

Power point presentation on Hospital Management System

• Hospital Management System 1

• Hospital Management System 2

• HOSPITAL INFORMATION MANAGEMENT SYSTEM

• HMS

• Hospital Billing System

• Hospital Management System 3

Seminar on Project management

Project management is the discipline of planning, organizing, securing and managing resources to bring about the successful completion of specific project goals and objectives.

A project is a temporary endeavor, having a defined beginning and end (usually constrained by date, but can be by funding or deliverables), undertaken to meet unique goals and objectives, usually to bring about beneficial change or added value. The temporary nature of projects stands in contrast to business as usual (or operations), which are repetitive, permanent or semi-permanent functional work to produce products or services. In practice, the management of these two systems is often found to be quite different, and as such requires the development of distinct technical skills and the adoption of separate management.

The primary challenge of project management is to achieve all of the project goals and objectives while honoring the preconceived project constraints. Typical constraints are scope, time, and budget. The secondary—and more ambitious—challenge is to optimize the allocation and integration of inputs necessary to meet pre-defined objectives.

   

 

Power point presentation on Project management

• Software Project Management

• Successful Project Management

• Project management

• Project Management For the 21st Century

• Team Organization and Project Management

• Project Management Training

• Project Management

Earth Simulator

The Earth Simulator (ES), developed by the Japanese government's initiative "Earth Simulator Project", was a highly parallel vector supercomputer system for running global climate models to evaluate the effects of global warming and problems in solid earth geophysics. The system was developed for Japan Aerospace Exploration Agency, Japan Atomic Energy Research Institute, and Japan Marine Science and Technology Center in 1997. Construction started in October 1999, and the site officially opened on March 11, 2002. The project cost 60 billion yen.

Built by NEC, ES was based on their SX-6 architecture. It consisted of 640 nodes with eight vector processors and 16 gibibytes of computer memory at each node, for a total of 5120 processors and 10 terabytes of memory. Two nodes were installed per 1 metre x 1.4 metre x 2 metre cabinet. Each cabinet consumed 20 kW of power. The system had 700 terabytes of disk storage (450 for the system and 250 for the users) and 1.6 petabytes of mass storage in tape drives. It was able to run holistic simulations of global climate in both the atmosphere and the oceans down to a resolution of 10 km. Its performance on the LINPACK benchmark was 35.86 TFLOPS, which was almost five times faster than ASCI White.

Reference material

• Earth Simulator Running 1 Introduction

• The Earth Simulator System

• Software of the Earth Simulator

• The Earth Simulator Project and beyond

• CaseStudy - Brief presentation of Earth Simulation Center

• High Resolution Earth System Modelling - PowerPoint Presentation

WISENET

WISENET is a wireless sensor network that monitors the environmental conditions such as light, temperature, and humidity. This network is comprised of nodes called "motes" that form an ad-hoc network to transmit this data to a computer that function as a server. The server stores the data in a database where it can later be retrieved and analyzed via a web-based interface. The network works successfully with an implementation of one sensor mote.

Introduction:
The technological drive for smaller devices using less power with greater functionality has created new potential applications in the sensor and data acquisition sectors. Low-power microcontrollers with RF transceivers and various digital and analog sensors allow a wireless, battery-operated network of sensor modules ("motes") to acquire a wide range of data. The TinyOS is a real-time operating system to address the priorities of such a sensor network using low power, hard real-time constraints, and robust communications.

The first goal of WISENET is to create a new hardware platform to take advantage of newer microcontrollers with greater functionality and more features. This involves selecting the hardware, designing the motes, and porting TinyOS. Once the platform is completed and TinyOS was ported to it, the next stage is to use this platform to create a small-scale system of wireless networked sensors.

System Description:
There are two primary subsystems (Data Analysis and Data Acquisition) comprised of three major components (Client, Server, Sensor Mote Network).
Primary Subsystems:
There are two top-level subsystems -
Data Analysis
Data Acquisition.

Data Analysis:
This subsystem is software-only (relative to WISENET). It relied on existing Internet and web (HTTP) infrastructure to provide communications between the Client and Server components. The focus of this subsystem was to selectively present the collected environmental data to the end user in a graphical manner.

Reference link

• WISENET Wireless Sensor Network

• Wireless Sensor Network (WiSeNet)

• WISENET

• The Ultra Low-Power WiseNET System

• WISENet — Joining Worlds

• WISENET

• Wisenet - Wireless Sensor Network

Lightweight Directory Access Protocol

The Lightweight Directory Access Protocol, or LDAP ,is an application protocol for querying and modifying directory services running over TCP/IP.

A directory is a set of objects with attributes organized in a logical and hierarchical manner. A simple example is the telephone directory, which consists of a list of names (of either persons or organizations) organized alphabetically, with each name having an address and phone number associated with it.

An LDAP directory tree often reflects various political, geographic, and/or organizational boundaries, depending on the model chosen. LDAP deployments today tend to use Domain Name System (DNS) names for structuring the topmost levels of the hierarchy. Deeper inside the directory might appear entries representing people, organizational units, printers, documents, groups of people or anything else that represents a given tree entry (or multiple entries).

Its current version is LDAPv3, which is specified in a series of Internet Engineering Task Force (IETF) Standard Track Requests for comments (RFCs) as detailed in RFC 4510

A client starts an LDAP session by connecting to an LDAP server, called a Directory System Agent (DSA), by default on TCP port 389. The client then sends an operation request to the server, and the server sends responses in return. With some exceptions, the client does not need to wait for a response before sending the next request, and the server may send the responses in any order.

The client may request the following operations:

    * Start TLS — use the LDAPv3 Transport Layer Security (TLS) extension for a secure connection
    * Bind — authenticate and specify LDAP protocol version
    * Search — search for and/or retrieve directory entries
    * Compare — test if a named entry contains a given attribute value
    * Add a new entry
    * Delete an entry
    * Modify an entry
    * Modify Distinguished Name (DN) — move or rename an entry
    * Abandon — abort a previous request
    * Extended Operation — generic operation used to define other operations
    * Unbind — close the connection (not the inverse of Bind)

Reference links

• The LDAP Protocol
• Kerberos and LDAP
• LDAP and Apache
• Understanding LDAP
• Introduction to LDAP
• LDAP Theory and Management
• LDAP Documentation
• Configuring LDAP for the Cisco Secure Access Control Server
• OpenLDAP, Main Page

The Bionic Eye

The entire system runs on a battery pack that's housed with the video processing unit. When the camera captures an image -- of, say, a tree -- the image is in the form of light and dark pixels. It sends this image to the video processor, which converts the tree-shaped pattern of pixels into a series of electrical pulses that represent "light" and "dark." The processor sends these pulses to a radio transmitter on the glasses, which then transmits the pulses in radio form to a receiver implanted underneath the subject's skin. The receiver is directly connected via a wire to the electrode array implanted at the back of the eye, and it sends the pulses down the wire.

When the pulses reach the retinal implant, they excite the electrode array. The array acts as the artificial equivalent of the retina's photoreceptors. The electrodes are stimulated in accordance with the encoded pattern of light and dark that represents the tree, as the retina's photoreceptors would be if they were working (except that the pattern wouldn't be digitally encoded). The electrical signals generated by the stimulated electrodes then travel as neural signals to the visual center of the brain by way of the normal pathways used by healthy eyes -- the optic nerves. In macular degeneration and retinitis pigmentosa, the optical neural pathways aren't damaged. The brain, in turn, interprets these signals as a tree and tells the subject, "You're seeing a tree."

Reference links

• Bionic Eye PhD projects
• The Bionic Eye
• Bionic eye team sees far into future
• The 'Bionic' Eye
• BIONIC EYE
• http://health.howstuffworks.com/bionic-eye1.htm
• Bionic Eye in sight

Silverlight

Microsoft Silverlight is a programmable web browser plugin that enables features such as animation, vector graphics and audio-video playback that characterizes rich Internet applications. Version 2.0, released October 2008, brings additional interactivity features and support for .NET languages and development tools. It is compatible with multiple web browser products used on Microsoft Windows and Mac OS X operating systems. Mobile devices, starting with Windows Mobile 6 and Symbian (Series 60) phones, will also be supported.A third-party free software implementation named Moonlight is under development to bring compatible functionality to GNU/Linux.

Silverlight provides a retained mode graphics system similar to Windows Presentation Foundation, and integrates multimedia, graphics, animations and interactivity into a single runtime environment. It is being designed to work in conjunction with XAML and is scriptable with JavaScript. XAML can be used for marking up the vector graphics and animations. Textual content created with Silverlight is searchable and indexable by search engines as it is not compiled, but represented as text (XAML).Silverlight can also be used to create Windows Sidebar gadgets for Windows Vista.

• Microsoft Silverlight

• Building Rich Web Applications with Microsoft SilverLight

• Introduction to Silverlight

• Silverlight Debugging

• Silverlight for Designers

• Silverlight 2 Unplugged

• http://en.wikipedia.org/wiki/Silverlight

Facial recognition system

A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.
It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.

Some facial recognition algorithms identify faces by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features.
Resource links:

• link 1 (ppt)
• link 2 (ppt)
• link 3 (ppt)
• link 4 (ppt)
• link 5
• link 6
• link 7 (code)