Randeep Gupta, MBA

The objective of the study is to provide an emergent business model in the social enterprise space which "borrows" from the Grameen model and provide a financially viable/sustainable recommendations.

Mission:
1. To provide a reflection in the thoughts leading up to the set-up of Grameen Bank.
2. Replication of Grameen's business model across other countries
3. Challenges of replicating the model. (Case regarding Grameen USA)

- Identified, researched, analyzed and presented 1、the target of the official website of UCONN business school 2、the role of the web technology and the relationship between the technology and its users
- think creatively and innovatively about how to use technology to facilitate the mission of an organization
- use the wiki technology for team coordination and collaboration
- build a sample website based on aurora technology and analyze the web content management
- Conducted… Show more

- Identified, researched, analyzed and presented 1、the target of the official website of UCONN business school 2、the role of the web technology and the relationship between the technology and its users
- think creatively and innovatively about how to use technology to facilitate the mission of an organization
- use the wiki technology for team coordination and collaboration
- build a sample website based on aurora technology and analyze the web content management
- Conducted Charts, Report and Presentation Show less

Filtering is desirable in many situations in engineering and embedded systems. For
example, radio communication signals are corrupted with noise. A good filtering algorithm
can remove the noise from the signals while retaining the useful information.
Online tracking of maneuvering target is a highly non-linear and challenging problem in
which the unknown state of the target is estimated from noisy observations i.e., process and
measurement noises mainly. The… Show more

Filtering is desirable in many situations in engineering and embedded systems. For
example, radio communication signals are corrupted with noise. A good filtering algorithm
can remove the noise from the signals while retaining the useful information.
Online tracking of maneuvering target is a highly non-linear and challenging problem in
which the unknown state of the target is estimated from noisy observations i.e., process and
measurement noises mainly. The bearings-only tracking has the advantage of direct
measurement of the target location, from the beam crossing.
The Kalman Filter (KF) is a tool that can estimate the variables of a wide range of
processes. In mathematical terms we would say that a Kalman filter estimates the states of a
linear system and also minimises the variance of the estimation error.
To process the non-linear measurements, Extended Kalman Filter (EKF) and Unscented
Kalman Filter (UKF) are generally used. If the target is maneuvering and switching among
different models like Constant Velocity (CV), Constant Acceleration (CA) or Constant Turn
these KF, EKF and UKF underperform. So Interactive Multiple Models (IMM) is employed.
In this project, Interactive Multiple Model -Unscented Kalman Filter (IMM-UKF) is
studied and applied to different scenarios in which the target maneuvers differently and
comparision of all the filters in terms of RMS errors and time complexities i s made which
had shown that IMM-UKF gives the minimum RMS errors and higher time complexity. Show less