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We can also exploit a feature in Google s text engine that was overlooked during the Google China development Google doesn t compare strings in their text engine like most of us do Instead of simply comparing bytes, Google considers some words and characters equal to other words and characters that wouldn t match with a byte comparison algorithm The character equality is what we want to look at here: mainly, how Google considers fullwidth ASCII characters (wide, fixed-width characters mostly used in Japanese character sets) equal to their ASCII counterparts If you were to search for computers using fullwidth characters, you d get the same results as you would with a simple ASCII search (although some ads might not show up) Now here s where the hack comes in: Google s censors don t look for those fullwidth characters.

Since the mid-1990s the domain of expert systems has broadened signi cantly and segued into knowledge-based systems (KBS), acknowledging the fact that the goal is not always to produce a fully autonomous and arti cial expert, but rather to model and represent knowledge and inferences that can be used in lesser AI systems to assist humans in some tasks.

QA Activities: Create standards for drafting test cases, requirements, developing diagrams, collecting information from workshops, naming conventions, etc. Enforce standards Develop functional test plan and test strategy Develop test case template Participate in requirements gathering workshop Inspect technical and functional specifications Inspect process flow diagrams Inspect requirements Raise risks Participate in Change Control Board (CCB) Approve transports Develop forms for peer reviews Create exit/entrance testing criteria Develop defect resolution procedures Develop unit, scenario, integration-testing procedures Test Activities: Develop automated test cases Execute test cases (manual/automated) Support/Maintain test tools Customize test tools Support/Maintain test lab Inspect requirements Create/Maintain testing schedule Create requirements traceability matrix (RTM) Develop testing schedule Conduct system integration testing Conduct security testing Conduct performance testing Report defects Review documented test cases Help identify test data Particpate in Change Control Board (CCB) Generate test reports, charts, graphs Produce testing metrics Develop performance test plan Document lessons learned Hold testing kickoff meetings

So, if we were to search Google China for tiananmen square using fullwidth characters, the results wouldn t be filtered (the connection may be reset from what Google sends) Luckily, this trick works for Google Images, meaning that it isn t too hard to get Google s cache of images normally unfindable in China!.

Project Team The team has established ground rules for team behaviors and follows them. The team understands and has internalized the project goal. Team members practice active listening skills. Team members actively attempt to adjust their communication or problem-solving styles to accommodate other members of the team whose styles are different. Good meeting management practices are followed, including sending out agendas in advance and documenting decisions and action items in the meeting minutes. The team has an articulated problem-solving process and displays good problem-analysis skills. The team is able to use multiple decision modes, including effectively reaching consensus. The team demonstrates the ability to work through conflict, reaching better decisions and maintaining positive relationships. Project Leadership I lead by example, showing a positive attitude and commitment to the project goal. I am accessible to team members so they can easily discuss problems or concerns with me. I hold myself and others accountable to project responsibilities. I consciously work to develop a positive team environment. I consciously work to develop collaborative problem-solving skills among the team. I treat all team members and stakeholders with respect.

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Examples of applied ontologies span many areas of research, some of which are described in popularized accounts rather too often just as examples of AI : Semantic Web research in general, mainly to study and develop better representational models and inference engines; e-commerce systems, to enable the automated exchange of electronic information among commercial trading partners; engineering design, especially to mediate collaborative design efforts; health care systems, to generate best-practice medical guidelines for managing patient health; biological systems, to automate the mapping of plant and animal genomes, and more critically, to describe, manage, and share large amounts of biological data; information systems, to assist searching for speci c public information resources; security systems, to perform automated in-depth security analysis In all these cases, the application of ontologies provides an attempt to specify objectively information (the expert knowledge) within a particular domain.