Explore attitudes of restaurant managers/owners in Luzern towards technology in F&B operations
Section 1: introduction and aims/objectives
Methodology of how you collected PRIMARY data
Section 2: review of literature/ existing research
Section 3: presentation and analysis of your primary data (findings)
Section 4: conclusions (& recommendations if relevant)
Sample Solution
1. opportunity of protection messages being regular- The question, Pr [ Dequeue.Dequeue. mean e len >=0 && len==zero or len==1 become used to verify the property. 4. put off in transmission of safety messages over the channel is lesser than that of beacon messages- This property was tested using the question,Pr[=Engine.occ _Serv) five. No deadlock-The query A[] not deadlock became used to check if the model in no way fell into impasse country. iii. Liveness- on this paintings it is analysed to check if carrier messages are sooner or later transmitted over the provider channel even though it’s far to start with blocked from transmission due to queue freezing. 6. consequences AND discussion UPPAAL 4.1.19 version turned into used for creating the timed automata of the protocol, validating and verifying it. vehicle, infrastructure, en-queuing, de-queuing and the engine timed automata had been modeled the usage of UPPAAL. thru version simulation ambiguities, incompleteness within the model had been identified and resolved. The diagnosed properties had been demonstrated the usage of verifier. Verification of reachability property against the version succeeded showing that the messages can be despatched to the manage channel thereby indicating that the states are available and that there may be a course wherein safety messages might be ship. As a communication protocol consists of a sender and a receiver it is important that the states be handy. Verication of liveness assets also succeeded indicating that even if provider message transmission to the channel is behind schedule,it’ll in the end get transmitted. Liveness assets is confirmed in order to make certain that some thing proper finally takes place. Verification on the protection residences changed into also achieved. assets 1 became checked for different durations of time. For 1 unit of time the attractiveness price became located to between the c language [0.62,0.72]. The acceptance charge is determined to boom as the time interval will increase. For 3 devices of time and past, the possibility of messages being frequent had been higher. The popularity fee became among the variety [0.9026,1]. belongings 2 changed into checked through explicitly specifying the variety of simulated runs. 2000 turned into the quantity of simulated runs certain. Verification of this belongings showed that up to fifteen gadgets of time the messages lost are nil. As there is an boom in time the message loss progressively expanded. Verification of belongings three succeeded. success of the property showed that queue freezing was applied within the model. Verification of assets 4 succeeded. Verification of this belongings shows that opportunity of protection messages to attain the manage channel is more than that of provider messages. A graph displaying the opportunity contrast of the belongings is shown in determine 7. The chance price is shown in y-axis and time is indicated in the x- axis. whilst the possibility value is extra than or equivalent to at least one it suggests that the quicker is the opportunity for safety messages to attain the manage channel than the service message to reach the carrier channel. parent 7: opportunity comparison parent 7 suggests the chance contrast graph. The chance fee is greater than 1 for all devices of time. when the price is greater than or identical to 1 it shows that contrast more is proper.Verification of assets five the use of version checker failed due to machine reminiscence dilemma. consequently simulation thru graphical interface become accomplished to affirm if the version fell into impasse nation. A deadlock kingdom did not occur on simulation of the gadget. it’s far crucial to verify the protection properties to verify that not anything horrific takes place within the protoco 7. end and future work in this work an exhaustive analysis of congestion manipulate protocol changed into carried out. This work presents a statistical model checking method as an green and reliable manner for analysing the reliability and safety aspects of the congestion manage protocol. The congestion manipulate protocol become stochastically modelled the usage of network of timed automata particularly the automobile automata, infrastructure automata, enqueue automata, dequeue automata and transmission engine automata. The essential properties that a congestion manage ought to make certain were recognized and expressed the usage of question language. each computation tree logic and probabilistic computation tree common sense became used to express the residences diagnosed. UPPAAL SMC tool turned into used to version, validate and affirm the protocol. Use of the SMC tool enabled stochastic illustration of the protocol and the protocol can be analysed both quantitatively and qualitatively. As future work, the modelling of the protocol may be advanced similarly. Transmission of messages from the channel to the motors within verbal exchange range has to be modelled and additionally the paintings right here focused most effective on three forms of messages, event pushed, beacon and service messages. As destiny work greater varieties of messages can be modelled and verified. References>
1. opportunity of protection messages being regular- The question, Pr [ Dequeue.Dequeue. mean e len >=0 && len==zero or len==1 become used to verify the property. 4. put off in transmission of safety messages over the channel is lesser than that of beacon messages- This property was tested using the question,Pr[=Engine.occ _Serv) five. No deadlock-The query A[] not deadlock became used to check if the model in no way fell into impasse country. iii. Liveness- on this paintings it is analysed to check if carrier messages are sooner or later transmitted over the provider channel even though it’s far to start with blocked from transmission due to queue freezing. 6. consequences AND discussion UPPAAL 4.1.19 version turned into used for creating the timed automata of the protocol, validating and verifying it. vehicle, infrastructure, en-queuing, de-queuing and the engine timed automata had been modeled the usage of UPPAAL. thru version simulation ambiguities, incompleteness within the model had been identified and resolved. The diagnosed properties had been demonstrated the usage of verifier. Verification of reachability property against the version succeeded showing that the messages can be despatched to the manage channel thereby indicating that the states are available and that there may be a course wherein safety messages might be ship. As a communication protocol consists of a sender and a receiver it is important that the states be handy. Verication of liveness assets also succeeded indicating that even if provider message transmission to the channel is behind schedule,it’ll in the end get transmitted. Liveness assets is confirmed in order to make certain that some thing proper finally takes place. Verification on the protection residences changed into also achieved. assets 1 became checked for different durations of time. For 1 unit of time the attractiveness price became located to between the c language [0.62,0.72]. The acceptance charge is determined to boom as the time interval will increase. For 3 devices of time and past, the possibility of messages being frequent had been higher. The popularity fee became among the variety [0.9026,1]. belongings 2 changed into checked through explicitly specifying the variety of simulated runs. 2000 turned into the quantity of simulated runs certain. Verification of this belongings showed that up to fifteen gadgets of time the messages lost are nil. As there is an boom in time the message loss progressively expanded. Verification of belongings three succeeded. success of the property showed that queue freezing was applied within the model. Verification of assets 4 succeeded. Verification of this belongings shows that opportunity of protection messages to attain the manage channel is more than that of provider messages. A graph displaying the opportunity contrast of the belongings is shown in determine 7. The chance price is shown in y-axis and time is indicated in the x- axis. whilst the possibility value is extra than or equivalent to at least one it suggests that the quicker is the opportunity for safety messages to attain the manage channel than the service message to reach the carrier channel. parent 7: opportunity comparison parent 7 suggests the chance contrast graph. The chance fee is greater than 1 for all devices of time. when the price is greater than or identical to 1 it shows that contrast more is proper.Verification of assets five the use of version checker failed due to machine reminiscence dilemma. consequently simulation thru graphical interface become accomplished to affirm if the version fell into impasse nation. A deadlock kingdom did not occur on simulation of the gadget. it’s far crucial to verify the protection properties to verify that not anything horrific takes place within the protoco 7. end and future work in this work an exhaustive analysis of congestion manipulate protocol changed into carried out. This work presents a statistical model checking method as an green and reliable manner for analysing the reliability and safety aspects of the congestion manage protocol. The congestion manipulate protocol become stochastically modelled the usage of network of timed automata particularly the automobile automata, infrastructure automata, enqueue automata, dequeue automata and transmission engine automata. The essential properties that a congestion manage ought to make certain were recognized and expressed the usage of question language. each computation tree logic and probabilistic computation tree common sense became used to express the residences diagnosed. UPPAAL SMC tool turned into used to version, validate and affirm the protocol. Use of the SMC tool enabled stochastic illustration of the protocol and the protocol can be analysed both quantitatively and qualitatively. As future work, the modelling of the protocol may be advanced similarly. Transmission of messages from the channel to the motors within verbal exchange range has to be modelled and additionally the paintings right here focused most effective on three forms of messages, event pushed, beacon and service messages. As destiny work greater varieties of messages can be modelled and verified. References>
