Friday 29 June 2012

Low Calorie Chicken Noodle Soup


Ingredients:-

  • 1/4 c Water
  • 1 Tbsp Butter Buds
  • 1 c Chopped Onion
  • 2 Med Celery Stalks with leaves, chopped
  • 1 Tbsp minced garlic
  • 1 Med Carrot chopped
  • 10 Radishes cubed or quartered
  • 8-10c Water
  • 6 Chicken flavored Bullion Cubes
  • 1/4 tea poultry Seasoning
  • 1/2 tea Tarragon
  • 1-8oz package Tofu Shirataki Fettuccine Noodle, drained and rinsed
  • 12 oz Boneless, Skinless Chicken Breast finely chopped

Method to Prepare:-

In 4-qt  soup pot add about an inch of water and the butter buds bring to a boil and reduce heat to maintain a low simmer, add each of the following in order allowing 1-2 minutes between ingredients; chopped onions, minced garlic, sliced celery including leaves, quartered carrot slices, zucchini slices, and quartered radishes. (The key to a good soup is to allow the flavors of each ingredient to develop before adding in the next ingredient.) 

When the veggies are tender add 8-10 cups of water and the 6 bullion cubes, slowly allowing the soup to return to a boil. Add poultry seasoning, and tarragon. Salt and Pepper to taste. 

Meanwhile, open package of Tofu Shirataki Fettucine and drain in colander, RINSE WELL, drain and place on cutting board, roughly chop into inch sized pieces, and add to soup.

Allow soup to return to a full boil before adding the finely chopped chicken pieces. Bring to a boil for 1-2 minutes or until chicken is completely white.

Turn off heat.


Makes 9 12oz servings 

Eat with Salad and Grissini Breadstick!

To make in slow cooker or crock pot, add all ingredients at once omitting butter buds and cook in a desired time frame.

Keywords – butter buds, finely chopped chicken pieces, Tofu Shirataki Fettucine, sliced celery, Skinless Chicken Breast, Chicken flavored Bullion Cubes.

Friday 22 June 2012

Load Shedding in Mobile Systems with MobiQual


Abstract
In location-based, mobile continual query (CQ) systems, two key measures of quality-ofservice (QoS) are: freshness and accuracy. To achieve freshness, the CQ server must perform frequent query reevaluations. To attain accuracy, the CQ server must receive and process frequent position updates from the mobile nodes. However, it is often difficult to obtain fresh and accurate CQ results simultaneously, due to 1) limited resources in computing and communication and 2) fast-changing load conditions caused bycontinuous mobile node movement. Hence, a key challenge for a mobile CQ system is: How do we achieve the highest possible quality of the CQ results, in both freshness and accuracy, with currently available resources? In this paper, we formulate this problem as a load shedding one, and develop MobiQual—a QoS-aware approach to performing both update load shedding and query load shedding. The design of MobiQual highlights three important features. 1) Differentiated load shedding: We apply different amounts of query load shedding and update load shedding to different groups of queries and mobile nodes, respectively. 2) Per-query QoS specification: Individualized QoS specifications are used to maximize the overall freshness and accuracy of the query results. 3) Lowcost adaptation: MobiQual dynamically adapts, with a minimal overhead, to changing load  conditions and available resources. We conduct a set of comprehensive experiments to evaluate the effectiveness of MobiQual. The results show that, through a carefulcombination of update and query load shedding, the MobiQual approach leads to much higher freshness and accuracy in the query results in all cases, compared to existing approaches that lack the QoS-awareness properties of MobiQual, as well as the solutions that perform query-only or update-only load shedding.

Keywords: Knowledge and Data Engineering Title,  Cloud Computing Title.

Thursday 21 June 2012

IEEE PROJECT 2012


Geometric Efficient Matching         IEEE Project                2012
Image Processing                           Application                   2012
Banking Project                             Web Application           2012
Condo Management                       Application                   2012
Engineering Counseling                   Web Application           2012
Online Voting                                 Web Application            2012
Library Management                       Application                   2012
Airline Reservation System              Web Application           2012
Course Resgistration                        Application                   2012
Art Gallery                                      Web Application           2012
















Airline Reservation System             Web Application            2012
Course Registration System             Application                   2012
Art Gallery                                     Web Application           2012



Keywords:- Image Processing Title, Moblie Computing Title, Networking Title, Cloud Computing Title.

Thursday 7 June 2012

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