non-compliance of the final effluents are as follows: • Flow meters are not calibrated (incorrect flow readings) and this makes it difficult to optimize the plant with respect to flows into different modules‚ i.e. Activated Sludge plant and the trickling filter plant.” • Over aeration (due to the oversized aerator blades) taking place in the extended aeration basin causing excessive foaming in the biological reactor and final settling tank. • The internal Recycle Pumps in the aeration are not Variable
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HOW TO MAKE AN IMPROVISED CHARCOAL WATER FILTER Materials Needed: 1. Fresh Charcoal 6.) Sand 2. 2-liter plastic bottle with cap 7.) Glass container or Jar 3. Pounding Rock 8.) Pot (and Stove) 4. Pieces of fabric/cloth 9.) Untreated/Dirty water 5. Cutter/Knife Procedure 1. Obtain FRESH charcoal that has cooled completely. To create a good supply of charcoal‚ create
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BUSINESS PLAN PROPOSAL Paper Recycling Plant By: Muhammad Ali Shuja Sana Askari Muhammad Salman Sheba Askari For: Business Plan Competition‚ Ministry of Youth Affairs‚ Government of Pakistan Business Plan Proposal Paper Recycling Plant Page 2 of 21 Table of Contents I. EXECUTIVE SUMMARY: ............................................................................................ 3 II. BUSINESS IDEA AND UNIQUE SELLING POINT .................................................. 5 III. IMPLEMENTATION
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are expected to be in a trustworthy environment‚ right? But‚ how can we have trust if they don’t trust us to do the right things online? I think public schools need to have more trust in their students and what they do on the internet. I think web filters are absurd and need to be removed for many reasons. In some situations‚ it is hurting our education. I strongly agree that schools block too many websites. There are good reasons why we need them. A school is a place for education‚ not games. Schools
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Edger Model FS 55 Trimmer Model FS 45 Trimmer Contents 1. Carburetor with LD Screw (Flange and End Cover Mounting‚ Fixed Jet) 2. Model Update 2.1 Carburetor with 3 Adjusting Screws 2.2 Spacer Flange 2.3 Tensioner‚ Throttle Cable 2.4 Filter Housing (Choke Shutter)‚ Filter Cover 2.5 Ignition Module‚ Crankshaft 2.6 Fuel Tank‚ Hose‚ Retainer 2.7 Clutch (Cup Spring)‚ Washer 2.8 Rewind Starter 2.9 Summary – Series 4232 – Series 4140 – Series 4140 – Series 4140 1. Carburetor with LD Screw (Flange and End
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questions/objectives which have been covered throughout the semester‚ and will be assessed on the final exam. You are not to answer every single question for points. Use this packet to write out your “Notes Sheets”: Allowed 3 pieces of 8.5” x 11” paper. Can be typed or handwritten. Must have student’s name clearly written on it. 3 sheets must be stapled and turned in on the day of the final exam. Only needs to contain content which the student deems “important” to have on the final exam. There
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categories: Statistical and Structural. An experimental comparison of a number of different texture features for content-based image retrieval is presented in this paper. The primary goal is to determine which texture feature or combination of texture features is most efficient in representing the spatial distribution of images. In this paper‚ we analyze and evaluate both Statistical and Structural texture features. For the experiments‚ publicly available image databases are used. Analysis and comparison
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examined for leaks once a year‚ and don’t procrastinate in cases where a call to the repair center is necessary. You can also learn to do your own "repairs" that will help the environment as well. For example‚ check filters on all air conditioners around the house. A dirty filter will require the air conditioner to work harder to cool a room‚ causing you to turn the A/C up and‚ in so doing‚ increasing your energy bill. By checking and cleaning the
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the distorted signal creating a reconstructed signal. The LMS algorithm seeks to minimize the excess mean-square error (MSE) between the echo signal and the estimated echo. The excess MSE refers to the LMS algorithm fluctuations about the adaptive filter coefficients after a large number of iterations [3]. This thesis consists of designing and implementing an echo canceling system. The DSP chip is used to simulate the echo creating system and to implement the adaptive filtering system to cancel
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Michael Mitzenmacher michaelm@eecs.harvard.edu 617-496-7172 Research Interests Education Design and Analysis of Algorithms; Networks and Data Transmission; Information Theory. UNIVERSITY OF CALIFORNIA AT BERKELEY‚ Berkeley‚ CA Ph.D. in Computer Science awarded December‚ 1996. Dissertation: The Power of Two Choices in Randomized Load Balancing. Advisor: Alistair Sinclair. GPA: 4.0/4.0 CAMBRIDGE UNIVERSITY‚ Cambridge‚ England Attended as one of ten recipients of the Churchill Fellowship. Cambridge
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