Mozzarella cheese ½ of Medium Salsa ½ a cup of Milk ½ a cup of fresh bread crumbs ½ a cup of Panko bread crumbs 1 large minced onion 2 sticks finely chopped celery ½ tsp. of cumin ½ tsp. of cayenne pepper 1 tsp. of smoked paprika Salt and pepper to taste Topping: 2 tbsp. of brown sugar 1/3 cup of ketchup 2 tsp. of Coleman’s Mustard ¼ cup of Worcestershire sauce Directions 1. Preheat oven to 350 degrees F (175 degrees C) 2. In a large bowl‚ combine the meat and add dry
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How to write a paper Toby Walsh National ICT Australia and UNSW‚ Sydney http://www.cse.unsw.edu.au/~tw How to write a good paper Toby Walsh National ICT Australia and UNSW‚ Sydney http://www.cse.unsw.edu.au/~tw How to write a good enough paper Toby Walsh National ICT Australia and UNSW‚ Sydney http://www.cse.unsw.edu.au/~tw Why me? • I’m not sure • Many other researchers who consistently get their papers published Peter van Beek‚ Pascal van Hentenryck‚ ... Often win best paper
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1/2 cups buttermilk (I didn’t have buttermilk‚ I put 1 1/2 tsp. of vinegar into milk to make buttermilk) First preheat oven to 275°‚ grease & flour a 9 x 13 pan‚ in a small bowl‚ Mix mashed banana with the lemon juice; set aside. In a medium bowl‚ mix flour‚ baking soda and salt; set aside. In a large bowl‚ cream 3/4 cup butter & 2 1/8 cups sugar until fluffy. Beat in 3 large eggs‚ one at a time‚ then stir in 2 tsp vanilla. Beat in the flour mixture alternately with the buttermilk
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Garlic Turkey Drumsticks Makes 2 servings You Will Need: • 2 turkey drumsticks‚ approximately 9 oz each • 2 garlic cloves‚ grated • 2 Tbsp freshly squeezed lemon juice • 2 carrots‚ peeled and chopped • 2 parsley roots‚ chopped • 1 tsp paprika • 2 tsp dried thyme • 1/2 tsp sea salt • Freshly ground black pepper‚ to taste • Butter or ghee‚ as needed How to Prepare: 1. Combine the dried thyme‚ salt‚ paprika‚ and black pepper to
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IR Sensor Projected Light Pattern Stereo Algorithm Segmentation‚ Part Prediction Application (e.g.‚ game) Estimate body parts and joint poses Depth Image Body parts and joint positions Part 1: Stereo from Projected Dots IR Projector IR Sensor Part 1: Stereo from Projected Dots 1. Overview of depth from stereo Projected Light Pattern Stereo Algorithm 2. How it works for a projector/sensor pair 3. Stereo algorithm used by PrimeSense (Kinect) Segmentation‚
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Ashwin Mishra et al. / International Journal of Engineering Science and Technology (IJEST) SINGULARITY ANALYSIS AND COMPARITIVE STUDY OF SIX DEGREE OF FREEDOM STEWART PLATFORM AS A ROBOTIC ARM BY HEURISTIC ALGORITHMS AND SIMULATED ANNEALING ASHWIN MISHRA Department of Mechanical Engineering‚ Sardar Vallabhbhai National Institute of Technology‚ Surat 395007‚ Gujarat‚ India DR. S. N. OMKAR Department of Aerospace Engineering‚ Indian Institute of Science Bangalore 560012‚ Karnataka‚ India Abstract
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the accuracy of measurements. The advanced signal processing techniques as maximum likelihood (ML) and extended Kalman filter (EKF) can be used to track a common trajectory exhibiting high dynamics. However‚ the estimated values of these algorithms can not be used directly to demodulate the signals. A combination of both inertial measurement unit (IMU) and GPS is an attractive method to deal with the problem of high dynamic tracking. Unfortunately‚ these units of IMU are often very
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for rigid body dynamics with contact. Our algorithm requires linear time and space and is easily expressed in vector form for fast execution on vector processors. The use of an iterative algorithm opens up the possibility for exploiting temporal coherence. A method for caching contact forces is presented that allows contact points to move from step to step and to appear and disappear. Examples are provided to illustrate the effectiveness of the algorithm. 1 Introduction Recently‚ there has
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and advantages. The methods to be examined are the power iteration method‚ the shifted inverse iteration method‚ the Rayleigh quotient method‚ the simultaneous iteration method‚ and the QR method. This paper is meant to be a survey of existing algorithms for the eigenvalue computation problem. Section 2 of this paper provides a brief review of some of the linear algebra background required to understand the concepts that are discussed. In Section 3‚ the iterative methods are each presented‚ in order
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APPLICABLE ARTIFICIAL INTELLIGENCE INTRODUCTION: The Artificial Intelligence is related with the design of intelligence in an artificial device."ARTIFICIAL INTELLIGENCE" term is coined by McCarthy in the year 1956.Basically there were two ideas in the definition of Artificial Intelligence. (i) Intelligence (ii) Artificial device. There were different views regarding the scope and Artificial Intelligence. One view is that artificial intelligence is about designing systems that are as intelligent
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