Program: PEACE Domestic Violence Agency Work Plan / Logic Model Name: Lashundra Anderson Inputs Outputs Outcomes -- Impact Activities Participation Knowledge Actions Conditions 10 Computers 10 case managers 4000 sq. ft. space Life Coach 3 Therapist/ Counselors 2 Sex Education Teacher Mentoring sessions Mental Health Counseling Sexual Education Confidence building 100 participants for 50 sessions of one hour each per week for 3 months. 100 participants for 12
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Programmable Logic Controllers or PLCs were developed in the late sixties by Bedford Associates of Bedford‚ Massachusetts to replace the hard-wired relay control systems used at the General Motors Hydra-Matic automatic transmission plant (Programmable Logic Controller‚ 2014). While they are still used extensively‚ relays have some problems. The biggest problem being they are mechanical devices and like all things mechanical they wear out and have to be replaced quite often. In addition‚ relays take
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Aristotelian Logic From some time in 400 B.C. to today‚ the use of Aristotelian logic has been a big influence on people and their opinions. Using ethos as the character of the speaker‚ pathos to show emotion and logos to show logic‚ companies make good promotion of their products with greater influence on the consumer. The other day I saw a commercial that instantly caught my eye. This commercial featured Jack form Jack in the Box; Jack in the Box restaurant was founded in 1951 by a man named
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Week 5 Final Paper: “Should homosexuals be able to marry?” PHI 103: Informal Logic Instructor: January‚ 28‚ 2013 “Should homosexuals be able to marry?” In the United States marriage laws are not supposed to discriminate‚ yet many people believe that marriages are clear religious and official vows‚ between a man and woman‚ which include the ultimate expression of love. The traditional belief does not claim a specific sexual orientation for homosexuals in this country
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HAPTER S EVENTEEN FUZZY LOGIC Slumber not in the tents of your fathers. The world is advancing. Advance with it. —Giuseppe Mazzini Industrial Text & Video Company 1-800-752-8398 www.industrialtext.com SECTION 5 Advanced PLC Topics and Networks Fuzzy Logic CHAPTER 17 C HAPTER H IGHLIGHTS Fuzzy logic provides PLCs with the ability to make “reasoned” decisions about a process. In this chapter‚ we will introduce you to the basics of fuzzy logic‚ including fundamental concepts
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Programming Logic and Design‚ 6th Edition Chapter 5 Exercises 1. What is output by each of the pseudocode segments in Figure 5-22? Answer: |a. |5‚ 22‚ 5 | |b. |4‚ 6‚ 7 | |c. |5‚ 6 | |d. |Goodbye | | |Goodbye
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Overview The reasoning in fuzzy logic is similar to human reasoning. It allows for approximate values and inferences as well as incomplete or ambiguous data (fuzzy data) as opposed to only relying on crisp data (binary yes/no choices). Fuzzy logic is able to process incomplete data and provide approximate solutions to problems other methods find difficult to solve. Terminology used in fuzzy logic not used in other methods are: very high‚ increasing‚ somewhat decreased‚ reasonable and very low
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Mathematical logic From Wikipedia‚ the free encyclopedia Mathematical logic is a subfield of mathematics exploring the applications of formal logic to mathematics. Topically‚ mathematical logic bears close connections to metamathematics‚ the foundations of mathematics‚ and theoretical computer science.[1] The unifying themes in mathematical logic include the study of the expressive power of formal systems and the deductive power of formal proof systems. Mathematical logic is often divided into
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Subqueries and derived tables can add great versatility to SQL statements‚ cut down complexity‚ but can occasionally be a curse when their effect on performance is poorly understood. Surely everyone understands the various types of subqueries and how they are used? If you felt a twinge of doubt‚ here is Rob Sheldon’s easy guide to the subject. ew elements within a Transact-SQL statement are as versatile as the subquery. A subquery—also referred to as an inner query or inner select—is a SELECT
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EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR Khairul Anam1‚Prihastono2‚4‚Handy Wicaksono3‚4‚ Rusdhianto Effendi4‚ Indra Adji S5‚ Son Kuswadi5‚ Achmad Jazidie4‚ Mitsuji Sampei6 1 Department of Electrical Engineering‚ University of Jember‚ Jember‚ Indonesia (Tel : +62-0331-484977 ; E-mail: kh.anam.sk@gmail.com) 2 Department of Electrical Engineering‚ University of Bhayangkara‚ Surabaya‚ Indonesia (Tel : + 62-031-8285602; E-mail: prihtn@yahoo.com) 3 Department
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