Ali Zeshan 123001
Hamza Ashfaq 123004
Arsalan Taj 123025
Ehtisham Bukhari 123064
In this report a novel control that optimizes passenger service in an elevator group is described.
Fuzzy logic and artificial intelligence are applied in the control when allocating landing calls to the elevators. Fuzzy logic is used to recognize the traffic pattern and the traffic peaks from statistical forecasts. In order to form the statistical forecasts, the passenger traffic flow in the building is measured. In the statistics the passenger traffic flow is learned day by day, and the control adapts to the prevailing traffic situation. The validity of the forecast data is confirmed
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In the inter-floor traffic the passengers travel from one populated floor to another inside the building.
Real traffic patterns during a day are combinations of these three traffic components. A statistical forecast for a typical day in a single tenant office building with common working hours is shown in Figure 4. The three passenger traffic components were forecast by the TMS9000 control.
According to the figure, traffic intensity is highest in the morning at 8:30 a.m. and during the lunch hour at 12:00 a.m. During the morning up-peak, people arrive at work and it is the most demanding time for the elevator handling capacity. A lot of inter-floor traffic in the morning has also been measured. During the lunch hour there is typically about 40 per cent incoming, 40 per cent outgoing, and 20 per cent inter-floor traffic. The lunch hour traffic is the most demanding for the group control capability since there are a lot of car and landing calls to be served. In the evening, people exit the building, and mostly outgoing traffic is forecast.
TRAFFIC PATTERN RECOGNITION WITH FUZZY LOGIC
Inputs and
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The traffic component values show the portions of the three components as percentages of the total traffic volume at the defined time. The incoming traffic component value, u1, is
u1 = 100 *linc / (linc + lout + l int er - floor)
where linc, lout and linter-floor are the passenger arrival rates for incoming, outgoing and interfloor traffic, respectively. Analogous equations for the outgoing (u2) and inter-floor (u3) traffic component values exist.
In addition to the traffic type, the number of arriving passengers in a defined time affects the traffic pattern. Obviously, the same absolute passenger arrival rates cannot be used to recognize a traffic peak for every building. The relative intensity that takes into account the building and elevator group configuration is obtained by scaling the arrival rate to the up-peak handling capacity of the elevator group. The relative traffic intensity value is
u4 = 100*(linc + lout + l int er - floor) / HC
where HC is the up-peak handling capacity of the elevator group (Barney et al. 1985; Roschier et al. 1979). The input values of passenger arrival rates (linc, lout and linter-floor) and the
Designing a queuing system This one can be used in banks, grocery stores, theatre movies et cetera, and people try to execute their programs using the same processors. 2. Customer Each customer have got the arrival time, waiting time and time for leaving.
Over the course of 1923 to 1927 as seen in figure number 6 the total passengers notably decreased. Chesapeake and Ohio started off with a total of 7,430,827 passengers in 1923. Then in 1924 that number of passengers decreased to 6,845,756 losing a total of 585,071 passengers from the previous year. In 1925 the number of passengers decreased to 5,811,872 losing a total of 1,033,884 passengers from the previous year. From 1926 the number of passengers dropped even lower to 5,370,176 total passengers served, losing a total of 441,696 passengers from the previous year.
Reflection on the article, “The Virtues of Ballpark Normalcy” by Lisa Blumberg Lisa Blumberg defines ballpark normalcy as “ life that is not quite normal-but is ‘in the ballpark.” My question is what is normal? Every person young or old has strengths and weaknesses; this is true to anyone, whether they have a disability or not. The word ballpark in this context refers to a range.
For the customer metric, they measure the annual number of new customers, annual proportion of on-time flights to total flights, and customer satisfaction survey. The annual number of new customers is being measured because an increase in the number of customers can give the company an idea about their future and potential growth in the market. This also gives an idea about the customer satisfaction. The annual proportion of on-time flights to total flights is the basic indicator for airlines. Even if the company has a low-fare image, if their flights are late, customers still doesn’t prefer it.
Bruce Wayne Attorney at Law 303 Reims Lane Gotham, NY 25010 (888)-888-8888 WayneEnterprises.com Nothingtodowiththebat@gmail.com To: Hal Jordan, Esq. From: Damian Allen, Paralegal
They allow the user to plug in mass amount s of data, and can analyze them to learn complex patterns and relationships that humans simply couldn’t process. It would allow the city planner to analyze things such as where are the bus tops are at highest/lowest usage, are any bus routes overlapping in locations, are passengers having to make bus route switches at higher rates that others, and so much more. It will allow the city to determine what they are doing right and what they can improve on, so they can alter the different pieces to make a better experience for the riders. Next, I recommend the use of predictive analysis tools. These tools use statistics, data mining, historical data, and assumptions of the future to predict the behavior patterns of consumers in the future.
Sloppy People Favoritism: An Analysis of Suzanne Britt’s Writing Strategies In “Neat People vs. Sloppy People” Suzanne Britt’s essay “Neat People vs. Sloppy People” examines sloppiness against neatness to reveal the significance of a sloppy individual’s messy character through the use of specific writing techniques. These writing techniques provide an effective way to shine positivity on sloppy people. Suzanne Britt uncovers the secret sentimentality sloppy people hold through the use of powerful compare and contrast, clear description, quality examples, vigorous language, and other rhetorical strategies.
Information processing theory The information processing theory is a structure which rationalises how people obtain; process and store information and knowledge (Tangen & Borders 2017, p. 99). The Information processing theory involves the clinical reasoning cycle and the information processing model. The clinical reasoning cycle is a model which guides nurses and other health practitioners in making clinical judgements (Levett-Jones 2018, p. 4).
How logic has been predicated through Nietzsche’s eyes Nietzsche is saying that logic hasn’t been built in our world because there is no truth. However, we have made his world logical by giving things reason. The world is meaningless so we must make sense out of things that we can interpret as such. He states that we can’t live without this world and that our mistakes have. The path of logical and abstract thought in our modern psyche corresponds to a cognitive process and conflict of impulses.
Observing the time map, there are many free time slots, usually after classes, around 10:30 AM to 4:30 PM and at night 7:30PM to 12:30 PM. Most of the days, there is at least four hours of leisure time. Tuesdays, Saturdays, and Sundays are the days in which there is very little to do and no classes to attend. Those three days have the most leisure time.
Q (1.b): Demography is “the study of human populations in terms of size, density, location, age, gender, race, occupation, and other statistics” (Kotler, 2011). The passenger’s demographic trends implicate UAL decisions such as the changing in the population’s family and age, Geographic shifts, employment and educational characteristics and the Diversity. UAL should increase their focus on satisfying the changing customer travel preferences. Different generations interested in different things as millennial interested in discounts, WiFi, online booking, etc. basing on age, UAL children ticket is half of the adult’s.
Hello Thelma. Thank you for your feedback, and I love the fuzzy morality poem. “Utilitarianism is an ethical theory that says an action is morally right if it benefits the greatest number of beings with the greatest good” (Isacat, 2008). They allow animal testing and experimentation as long as it benefits human beings than it does harm and suffering to animals. I think animal testing and lab experimentation are morally wrong and unnecessary.
Hilton is an American hotel chain founded by Conrad Hilton in the early twentieth century. Hilton remains the second largest hotel group with 4,278 establishments and 700,000 rooms in 85 countries. The Hilton Worldwide is a leader in the hospitality industry and currently has more than 130,000 employees. While most hotel establishments today use management systems, they are almost all equipped with basic functionality compared to what exists in other sectors. Today, there are new tools expected to become real levers of competitiveness of hotel establishments.
In the airline industry, we can distinguish six categories of inputs. Firstly, labour input refers to the number of employees a corporation has. Secondly, there is fuel input. Thirdly, the capital input includes the number of aircrafts a company owns through purchase
ROLE OF MONEY IN MACROECONOMICS 1. Introduction Money can be seen as the medium of exchange which is acceptable while transaction is being undertaken between two parties. Some of the common forms of money are: - Commodity money: This is when the value of the good represents its value in terms of money like gold or silver. - Fiat money: This is when the value of the good is less than the value it represents - Bank money: It is the accounting credits that can be used by the depositor Money serves a variety of crucial functions in the economy and this is why it has gained an unparalleled influence in the matters of economy at micro as well as macro levels. Some of the features of money that make it so important for any economy are as follows: