PPT-Classification of Items on the

Commerce Control List 1 Why are classifications so important Proper classifications prevent Delays in exporting Potential violations of the Export Administration Regulations EAR 2 Commerce Control List CCL. Variation 09 Specific Classification Brightness Specific variation of color within the intermediate classification Variation 09 Based on 110 with neutral gray brightness Color Name 358 Color Chart wwwcopicmarkercom 186666COPIC Y000 Pale Lemon Y00 B Sedative hypnotics depress or slow down the bodys functions These drugs are commonly referred to as tranquilizers sleeping pills or sedatives They were originally developed to treat medical conditions such as epileptic seizures as well as to treat a Contents. Overview of IDS/IPS. Components of an IDS/IPS. IDS/IPS classification. By scope of protection. By detection model. 2. /37. Intrusion. A set of actions aimed at compromising the security goals (confidentiality, integrity, availability of a computing/networking resource). Contents. Overview of IDS/IPS. Components of an IDS/IPS. IDS/IPS classification. By scope of protection. By detection model. 2. /37. Intrusion. A set of actions aimed at compromising the security goals (confidentiality, integrity, availability of a computing/networking resource). Learning Objectives. Importance of Classification. Philosophical underpinnings of two approaches to classification. Purposes of Classification. Symbols and Language. Words are symbols. By convention we all agree on symbols. Learning Objectives. Importance of Classification. Philosophical underpinnings of two approaches to classification. Purposes of Classification. Symbols and Language. Words are symbols. By convention we all agree on symbols. Making Decisions Under uncertainty. 1. Overview. Basics of Probability and the Bayes Rule. Bayesian . Classification. Losses and . Risks. Discriminant Function. Utility Theory. Association . Rule Learning. What are the steps of the retail process?. Approach. Customer . Classification (Determining Needs. Casual Lookers. Undecided Customers. Decided Customers. The . Sale (Presenting the Product, Handling Objections). All slides ©Addison Wesley, 2008. Classification and Clustering. Classification and clustering are classical pattern recognition / machine learning problems. Classification. Asks “what class does this item belong to?”. Introduction, Overview. Classification using Graphs. Graph classification – Direct Product Kernel. Predictive Toxicology example dataset. Vertex classification – . Laplacian. Kernel. WEBKB example dataset. Dr. Ron Lembke. Two Questions. Two main Inventory Questions:. How much to buy?. When is it time to buy?. Also:. Which products to buy?. From whom?. Types of Inventory. Raw Materials. Subcomponents. Work in progress (WIP). Please sit down if you:. Are taller than 5’9”. Have blonde Hair . Have brown Eyes. Are left-Handed. Why Classify?. To study the diversity of life, biologists use a . classification . system to name organisms and group them in a logical manner. BY. Pam Carey. National USP Classifier. FAIR & EQUAL COMPETITION. Para-athletes are placed in categories for competition based on their impairment – these are called sport classes. The IPC classification system determines which athletes are eligible to compete in a sport and how athletes are grouped together for competition. How . do scientists classify living organisms?. Standards:. S7L1. Obtain, evaluate, and communicate information to investigate the diversity of . living organisms . and how they can be compared scientifically..