Inference Engine An Inference Engine is a tool from Artificial Intelligence. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applied logical rules to the knowledge base and deduced new knowledge. Architecture[edit] The logic that an inference engine uses is typically represented as IF-THEN rules. A simple example of Modus Ponens often used in introductory logic books is "If you are human then you are mortal". Rule1: Human(x) => Mortal(x) A trivial example of how this rule would be used in an inference engine is as follows. This innovation of integrating the inference engine with a user interface led to the second early advancement of expert systems: explanation capabilities. An inference engine cycles through three sequential steps: match rules, select rules, and execute rules. Implementations[edit] See also[edit] References[edit]
Telecommunications engineering Engineering science that deals with the recording, transmission, processing and storage of messages Telecommunications engineering is a subfield of electronics engineering which seeks to design and devise systems of communication at a distance.[1][2] The work ranges from basic circuit design to strategic mass developments. A telecommunication engineer is responsible for designing and overseeing the installation of telecommunications equipment and facilities, such as complex electronic switching systems, and other plain old telephone service facilities, optical fiber cabling, IP networks, and microwave transmission systems. Telecommunication is a diverse field of engineering connected to electronic, civil and systems engineering.[1] Ultimately, telecom engineers are responsible for providing high-speed data transmission services. History[edit] Telegraph and telephone[edit] Radio and television[edit] Satellite[edit] Computer networks and the Internet[edit] Optical fiber[edit] Concepts[edit]
ISO/IEC 15288 The ISO/IEC 15288 is a Systems Engineering standard covering processes and life cycle stages. Initial planning for the ISO/IEC 15288:2002(E) standard started in 1994 when the need for a common Systems Engineering process framework was recognized. The previously accepted standard MIL STD 499A (1969) was no longer supported due to an edict from SECDEF abolishing the MIL STD system. The first edition was issued on 1 November 2002. Stuart Arnold was the editor and Harold Lawson was the architect of the standard.[1] In 2004 this standard was adopted as IEEE 15288. ISO/IEC TR 15504 which addresses capabilityISO/IEC 12207 and ISO/IEC 15288 which address lifecycle andISO 9001 & ISO 9000-3 which address quality The standard defines processes divided into four categories: TechnicalProjectAgreement, andEnterprise Each process is defined by a purpose, outcomes, and activities. See also[edit] References[edit]
List of types of systems engineering From Wikipedia, the free encyclopedia Jump to navigationJump to search This list of types of systems engineering gives an overview of the types of systems engineering. B[edit] Biological systems engineering[1] C[edit] Communications system engineering, see telecommunicationComputer systems engineering, see also computer engineering[2]Computer science and systems engineering, see also computer science[3]Control systems engineering[4] E[edit] I[edit] M[edit] Manufacturing systems engineering, see also industrial engineering[8]Marine systems engineering, see also naval architecture[9]Mechanical and systems engineering, see also mechanical engineering[10] P[edit] Petroleum systems engineering, see also petroleum engineering[11]Power systems engineering, see also power engineering[12]Process systems engineering, see also industrial engineering[13] S[edit] See also[edit] References[edit]
Crittergram Capture Cam You probably already know the Arduino is a cool prototyping platform which allows you to build great projects with minimal effort. Over the years many contributors have designed compatible hardware and software libraries for easy methods to interact with the Arduino. With the Crittergram Capture Cam we’ll combine several common components to create a camera that only takes pictures when critters move in front of it. The Hardware In this project we will connect the JPEG Camera module from RadioShack to the serial port on the Arduino Uno. If you look at the specifications of the camera module, you may notice it has a built-in motion detector. The Software We’ve rated this project’s difficulty as easy due to the plug-and-play nature of the modules and the software provided. You could easily take this project to the next level by turning it into a webcam (see conclusion), modifying the sketch code to take time lapse shots, or implementing an LDR or other method to take daytime-only shots, etc.
Knowledge Base A knowledge base (KB) is a technology used to store complex structured and unstructured information used by a computer system. The initial use of the term was in connection with expert systems which were the first knowledge-based systems. The original use of the term knowledge-base was to describe one of the two sub-systems of a knowledge-based system. A knowledge-based system consists of a knowledge-base that represents facts about the world and an inference engine that can reason about those facts and use rules and other forms of logic to deduce new facts or highlight inconsistencies.[1] The term 'knowledge-base' was to distinguish from the more common widely used term database. Flat data. Early expert systems also had little need for multiple users or the complexity that comes with requiring transactional properties on data. The volume requirements were also different for a knowledge-base compared to a conventional database. See also[edit] Notes[edit]
Transportation engineering Academic discipline and occupational field Transportation engineering or transport engineering is the application of technology and scientific principles to the planning, functional design, operation and management of facilities for any mode of transportation to provide for the safe, efficient, rapid, comfortable, convenient, economical, and environmentally compatible movement of people and goods transport.[1][2]Transportation engineering is considered a sub discipline of civil engineering, focusing on infrastructure systems that enable mobility of people and goods.[3]It addresses both passenger and freight systems, balancing safety, cost effectiveness, and environmental impact.[4] The planning aspects of transportation engineering relate to elements of urban planning, and involve technical forecasting decisions and political factors. Before any planning occurs an engineer must take what is known as an inventory of the area or, if it is appropriate, the previous system in place. [edit]
ISO/IEC 12207 ISO/IEC 12207 Systems and software engineering — Software life cycle processes[1] is an international standard for software lifecycle processes. It aims to be the standard that defines all the tasks required for developing and maintaining software. The ISO/IEC 12207 standard establishes a process of lifecycle for software, including processes and activities applied during the acquisition and configuration of the services of the system. The set of processes, activities and tasks can be adapted according to the software project. History[edit] ISO/IEC 12207:2008 is newest version of the international standards.Revises: ISO/IEC 12207:1995/Amd 2:2004Revises: ISO/IEC 12207:1995/Amd 1:2002First version was published 1995 Primary lifecycle processes[edit] The primary lifecycle processes contain the core processes involved in creating a software product. AcquisitionSupplyDevelopmentOperationMaintenanceDestruction Activities[edit] Acquisition[edit] Supply[edit] Development[edit] Operation[edit]