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Q&A Bank >> 11 January 2013



Q : tools and techniques of layout planning - line
Q : disadvantages of three dimensional models they require more
Q : advantages of three dimensional models layouts made of
Q : three dimensional modelthese are scale models of a facility
Q : tools and techniques of layout planning -
Q : tools and techniques of layout planning various techniques
Q : layout planning and analysisdesigning and installing a
Q : limitations of group technology or cellular manufacturing
Q : benefits of group technology1reduced flow times compared to
Q : group technology or cellular manufacturing cm layoutin
Q : disadvantages of fms limited ability to adapt to changes in
Q : given a 24 33 7 13 and b 23 32 52 11 17 note
Q : import the sample code below into the python idle and
Q : advantages of fms flexible manufacturing systems are
Q : goals of an fms the goal of an fms is to produce a moderate
Q : characteristics of flexible manufacturing systeman fms is a
Q : flexible manufacturing systemfms flexible manufacturing
Q : advantages of a fixed position layout men and machines can
Q : normal 0 false false false en-in x-none x-none
Q : selection criteria for productone or few standard products
Q : lack of specialized supervisionthere will be greater
Q : disadvantages of product layout -
Q : disadvantages of product layout - demerits of breakdownthe
Q : disadvantages of product layout - high overhead chargesdue
Q : disadvantages of product layout - heavy capital
Q : greater possibility of space utilizationthere will be a
Q : advantages of product layout - low work in progresssince
Q : advantages of product layout - scientific materials
Q : advantages of product layoutregulation of production
Q : product based layoutalso called the straight line layout or
Q : demonstrate arc consistencyto demonstrate the worth of
Q : disadvantages of process layout1 complexity of production
Q : arc consistencythere have been many advances in how
Q : advantages of process layoutlower capital investment less
Q : optimum solution based on constraint problemswhether
Q : specifying constraint problemshowever as with most
Q : constraint satisfaction problemsfurthermore i was perhaps
Q : appropriate problems for ann learningconversely as we did
Q : overfitted the datamoreover notice that as time permitting
Q : local minima - sigmoid unitsalternatively in addition to
Q : adding momentum - sigmoid unitshowever imagine a ball
Q : types of manufacturing system amp layouta layout
Q : backpropagationhowever backpropagation can be seen as
Q : factors influencing plant layoutwhile choosing the layout
Q : importance of layout1 economic in handling nearly 30 per
Q : backpropagation learning routineconversely as with
Q : solution of multi-layer ann with sigmoid unitsassume here
Q : objectives of good layoutany of the following objectives
Q : criteria for a good layout maximum flexibility a good
Q : layout of facilities layout refers to the arrangement of
Q : locational break - even analysisin comparing several
Q : point rating methodin selecting a site of
Q : location models or methodsfactor rating systemfactor rating
Q : learning abilities of perceptronsconversely computational
Q : learning algorithm for multi-layered networksfurthermore
Q : factors for plant location choicesafety requirements some
Q : perceptron traininghere the weights are initially assigned
Q : regional regulations and room of expansionregional
Q : factors for plant location choice - availability of
Q : factors for plant location choice - suitability of
Q : units of artificial neural networkshowever the input units
Q : factor for plant location choice - availability of
Q : perceptronshowever the weights in any ann are usually just
Q : availability of labour and amenitiesavailability of labour
Q : factors for plant location choice - proximity to
Q : factors responsible for plant location choice -
Q : architecture of artificial neural networkspresumably
Q : artificial neural networkshowever imagine now in this
Q : factors responsible for plant location choicethe physical
Q : ann representationmostly anns are taught on ai courses
Q : location strategy it is difficult to set down rules
Q : id3 algorithmfurther for the calculation for information
Q : process analysisprocess analysis means the study of the
Q : basic ideahowever in the above decision of tree which it is
Q : specifying the problemnow next here furtherly we now use to
Q : reading decision treeshowever we can justified by see that
Q : characteristics of continuous or flow production flow of
Q : type of process technologies - continuous of flow
Q : decision tree learningfurthermore there is specified in the
Q : variable or compound expression - unification algorithmhere
Q : function name or connective symbolwhether if we write opx
Q : unification algorithmhere if notice for instance that to
Q : example of unificationlet now here assume instead that we
Q : characteristics of batch productionshort runs batch
Q : unificationas just above this we have said that the rules
Q : implicative normal formthus the sentence is now in cnf in
Q : types of process technologies - batch productionunder this
Q : eight-stage process - conjunctive normal formshence we
Q : characteristics of job order production small production
Q : conjunctive normal formshowever there for the resolution
Q : propositional versions of resolutionjust because of so far
Q : types of process technologies - job productionjob one off
Q : binary resolutionhowever we saw unit resolution for a
Q : types of process technologies - projectproject technology
Q : drawbacks to resolution theoremthus the underlining here
Q : ways to organize process flows five types of process
Q : manufacturing process technologynew products are not
Q : resolution methodfor a minor miracle occurred in 1965 where
Q : proof by contradictionnow for forward chaining and backward
Q : backward chainingin generally given that we are only
Q : forward chainingnow we have suppose we have a set of axioms
Q : chains of inferencenow we have to look at how to get an
Q : systems approach to process planning and designknowledge
Q : existential introductionnow if we have any sentence as a
Q : existential elimination now we have a sentence a is with
Q : universal eliminationhere for any sentence there is a
Q : evaluation of the process design one of the objectives in
Q : ground substitutionhere the act of performing an
Q : first-order inference ruleshere now we have a clear
Q : propositional truth tablesthere xt is a substitution that
Q : quantifiers and variables - propositional modelthere is one
Q : predicates in propositional modelthe predicates take a
Q : relation of process design to types of process flowthere is
Q : terms in propositional modelthere in first-order logic
Q : organizing process flows five types of process are
Q : propositional modelhence a propositional model was simply
Q : group technology- cellular manufacturing systemin group
Q : first-order modelshere if we proposed first-order logic as
Q : process focused production systemthis is a form of
Q : unit resolutionby assuming that we knew the sentence as
Q : or-introduction thus if we know about one thing is true and
Q : product focused production systemin this type of production
Q : and-introductionin generally english says that if we know
Q : and-elimination rulein generally english says that if you
Q : types of process designsthe basic type of production system
Q : implication connective - modus ponens rulewe notice that
Q : degree of customer contactthe extent to which customers get
Q : factors affecting process design - level of productin today
Q : factors affecting process design - degree of automationthe
Q : propositional inference rulespropositional inference rules
Q : productservice and volume flexibilityability to respond
Q : eequivalences rulesthis conveys a meaning that is actually
Q : degree of vertical integrationvertical integration is the
Q : equivalencesin this following miscellaneous equivalence
Q : double negation all parents are forever correcting their
Q : scope of process design design of manufacturing process
Q : process design new product is not realities unit they are
Q : step in process selection 1 establish the process selection
Q : associativity of connectives here brackets are very
Q : factors for selection of processesthe following factors
Q : extension of propositional logicaway from proving
Q : rule in a single direction - equivalences ruleshence there
Q : replacement and substitutionhowever equivalences allow us
Q : process selection there are many production processes
Q : what is regression analysis discuss the relation between
Q : equivalences amp rewrite rulesif notice that as well as
Q : quantity to be manufacturedwhen only few parts are to be
Q : tolerance and surface finishdesign engineers are always
Q : tautology - equivalences rulesif there tautologies are not
Q : capacities of machine tools and surface finishcapacities of
Q : factor affecting process planning - choice of plant
Q : processing methodthe process by which product is made
Q : factor affecting process planning size and form of raw
Q : primary keyprimary key indicates that the table is
Q : aims of functions of process engineering to determine what
Q : sqls counterpart of the key wordsthe text from the opening
Q : steps of process planning procedurestep 1 selection of
Q : creating and destroying base tablesexample shows an sql
Q : sql is a database languagethe commands given to a dbms by
Q : information required for process planning quantity of work
Q : characteristics of process planning since a process is
Q : process planning process planning is the systematic
Q : processes and customer involvementmany processes are
Q : processes as production systems a production system refers
Q : processes by market orientation processes can also be
Q : dbmsthe answer to this question is of course given in of
Q : process planning a process is any part of an organization
Q : sql databaseso an sql database is one whose symbols are
Q : fermi level electrons in solids obey fermi-dirac fd
Q : phenomenon - fet operationfor either improvement- or
Q : carrier concentrations for the calculation of semiconductor
Q : gate terminal - field-effect transistorthe names of the
Q : field-effect transistorthe field-effect transistor that is
Q : intrinsic material a perfect semiconductor crystal with no
Q : notations that are used in transistor
Q : hybrid parameters or h - parameters- if the input current
Q : mixed mode simulator the circuit is preprocessed the test
Q : effective massthe electrons wave-particle motion in a
Q : charge carriers in semiconductors in a metal the atoms are
Q : metals semiconductors and insulators for electrons to move
Q : mixed bondingdisplayed by iii-v compounds bonding partly
Q : covalent bondingexhibited through the diamond lattice
Q : metallic bondingin metals the outer shell is filled through
Q : ionic bondinginstance naclna z 11 gives up the outermost
Q : bonding forces and energy bands in solids electrons are
Q : impurities in semiconductorscan be added in accurately
Q : energy gapdifferentiating feature between the metals
Q : applications of semiconductorsintegrated circuits ics ssi
Q : semiconductorsconductivity in among those of metals and
Q : analysis of semiconductor devicesthere are two
Q : energy band diagramenergy band diagram in qualitative form
Q : analysis in equilibriumsolution of poissons equation with
Q : semiconductor in equilibriumequilibrium in
Q : continuity equationsthese equations are fundamentally
Q : semiconductor equations the semiconductor equations
Q : pn diode the current-voltage characteristics are of major
Q : common drain amplifierin electronics a common-drain
Q : common source amplifiera common-source amplifier is one of
Q : amplifierusually an amplifier or simply amp is any device
Q : advantages of bjt over mosfetbjts have some benefits over
Q : primacy of mosfetin the year 1959 dawon kahng and martin m
Q : saturation or active mode while vgs gt
Q : triode modewhen vgs gt vth and vds lt
Q : operation of mosfetthe operation of a
Q : cross section of nmos with channel formed on statea
Q : composition of mosfet in a test pattern the
Q : metal oxide field effect transistorthe
Q : schematic symbolsthe junction gate field-effect transistor
Q : uses of fetigbts insulated-gate bipolar transistor see
Q : types of field-effect transistorsthe channel of a fet
Q : composition of fetthe fet field-effect transistor can be
Q : operation of zener diodethe zener diodes operation depends
Q : zener diodea zener diode is a sort of diode that allows
Q : diffusion capacitancediffusion capacitance is the
Q : depletion zone in p-n junctionthe power of the depletion
Q : properties of a p-n junctionthe p-n junction possesses
Q : i am supposed to write a blanced chemical equation for
Q : a deposit of 10000 was made to an account the year you were
Q : why left brain controls right side of the body and right
Q : avoiding overfitting however remember there that in the
Q : appropriate problems for decision tree learning however
Q : biological motivation however remember there that in
Q : two layer artificial neural networkshowever decision trees
Q : multi-layer network architecturesas we considered we saw in
Q : multi-layer artificial neural networks however we can now
Q : algorithmic complexity theorymoreover a similar situation
Q : pruning and sortingthis means we can test where each
Q : problem specification hence given the above context for ilp
Q : prior conditions - logic programshowever firstly there we
Q : background examples and hypothesisnow we will switch off
Q : logic programsa subset of first order logic is logic
Q : problem context and specification however the development
Q : inductive logic programming now here having studied a
Q : meritsthe circuit has the trend to stabilize operating
Q : merits and demerits of collector-to-base biasmeritsin this
Q : usagebecause of the above inherent drawbacks fixed bias is
Q : merits1 it is very simple to shift the
Q : types of bias circuit for class a amplifiersthere are five
Q : thermal considerationsat continuous current the voltage
Q : bias circuit requirementssignal requirements for class a
Q : biasingbipolar transistor amplifiers have to be properly
Q : transistor configurationstransistor circuits may be
Q : structure and use of pnp transistorthe figure opposite is a
Q : avalanche breakdown regioneven though these regions are
Q : saturation and cutoff in bipolar junction
Q : forward and reverse-active in bipolar junction
Q : regions of operationapplied voltagesmodee lt b lt cforward
Q : cmos processesthe low-performance lateral bipolar
Q : structure of bipolar junction transistor a bjt contains
Q : turn-on turn-off and storage delaythe bipolar transistor
Q : voltage current and charge controlthe collector-emitter
Q : npn bjt with forward-biasedan npn transistor can be
Q : bipolar junction transistortransistors are so named as they
Q : limitations1 silicon transistors do not function at
Q : comparison with vacuum tubesprior to the growth of
Q : transistor as a switchtransistors are generally employed as
Q : usage of transistorthe bipolar junction transistor that is
Q : importancethe transistor is the main active component in
Q : history of transistorthe great physicist julius edgar
Q : transistora transistor is a semiconductor device that is
Q : vital parameters of regulator quality1 the output voltages
Q : measures of regulator qualitythe output voltage can just be
Q : electronic voltage regulatorselectronic voltage regulators
Q : voltage regulatora voltage regulator is an electrical
Q : high-pass t filtersthree-element filters can comprise a t
Q : passive filterspassive implementations of linear filters
Q : half-wave rectifiera half-wave rectifier will just only
Q : creation deductive inferences here we have shown how
Q : prologstill we can take our card game from the previous
Q : logic-based expert systems expert systems are agents that
Q : search mechanisms in prologhere we can needs this simple
Q : declarative programming languageswe notice that declarative
Q : prolog programming language probably programming languages
Q : grounding a variable - first-order logicthe perform of
Q : variables and quantifiersnow we have to diagnose now that
Q : constants - first-order logicconstants are things that is
Q : connectives - first-order logicwe can string predicates all
Q : syntax and semanticspropositional logic is prohibited in
Q : approach to reasoning - first-order logicthe formal
Q : automated reasoning - first-order logicthe topic known as
Q : presumably for heightened tension - first-order logicas an
Q : types of reasoning - first-order logicatleast five types of
Q : first-order logictheres reasoning and then theres
Q : alpha-beta pruningthus we can prune via the alpha-beta
Q : general principles of pruningthe general principles are
Q : pruning - artificial intelligencerecall which pruning a
Q : example of the horizon problemit is also worth bearing in
Q : main problems with evaluation functionssuperlatively
Q : evaluation functionsevaluation functions calculate
Q : depth in cutoff searchthe depth is chosen in advance to
Q : cutoff search to require a mini and max search in a game on
Q : minimax searchalways notice there that the process above
Q : game playingwe have now dispensed with the necessary
Q : representation scheme in aibullits fairly trouble-free to
Q : multiple valued logicsmultiple valued logics where altered
Q : fuzzy logicin the logics we are here described above what
Q : higher order predicate logic in the very first order
Q : first order predicate logic this is a more expressive
Q : propositional logicthis is a fairly restrictive logic that
Q : logical representationsif all human beings spoke the same
Q : knowledge representationto recap we now have some
Q : assessing heuristic searchesgiven a particular problem you
Q : common problem with hill climbingan alternative way of
Q : hill climbing - artificial intelligenceas weve seen in some
Q : advantages of icp-aes methodthe wide applicability of
Q : high ionisation energythe high ionisation energy of helium
Q : types of plasma sourcesthe three types of plasma sources
Q : principle of atomic emission spectrometrythe analyte sample
Q : types of spectrometersthe two types of spectrometers for
Q : types of power sources - atomic emission spectrometrythree
Q : atomic emission spectrometryin atomic emission spectrometry
Q : role of organic solvents in atomisationthe organic solvents
Q : hydride generation methodthe hydride generation method of
Q : trace and ultratrace analysisthe accuracy precision and
Q : sharp line sourcewhen the bandwidth of the primary
Q : nebulisation techniquesthe accuracy precision and detection
Q : types of interferences - atomic absorption
Q : matrix modifier methodgfaas is a much more sensitive as
Q : atomic absorption spectrophotometryatomic absorption
Q : merits of atomic fluorescence spectrometry techniquethe
Q : applications of atomic fluorescence spectrometryin common
Q : types of interferenceswithin an atomic spectrometric method
Q : principle of atomic fluorescence spectrometryin afs the
Q : merits of atomic fluorescence spectrometrymerits of the
Q : quantitative elemental analysisthe instrument used for afs
Q : atomic fluorescence spectrometryin atomic fluorescence
Q : types of spectral interferenceswhile a quantitative
Q : applications of flame photometrya few common applications
Q : limitations of flame photometrythe limitations of the
Q : benefits of flame photometrythe subsequent are the main
Q : types of interferencesthe various kinds of interferences
Q : principle underlying the quantitative analysisin flame
Q : quantitative analysisthe quantitative analysis could be
Q : classic flame photometric experimentin a classic flame
Q : atomic spectroscopyatomic spectroscopy is the oldest
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