Business-to-Business Messages Essay Example for Free

Business-to-Business Messages Essay Communication is the process; through which sender conveys their messages to receiver. The communication can be in form of words, gestures, voice intonations and other symbols or signs. The communication process cannot be possible without any medium. In the communication process senders and receivers both are the parties involved. Apart from this communication process also needs the technology, tools and Channels. All the element of the communication process should be in the proper sequence for effective and appropriate communication Process. If any part of communication process is distorted or broken, the sender and receiver will not have a common understanding of the message (Daft, 2004). The communication model includes some element in this sequence such as an environment of communication, a sender, message, technology (Channels), noises (the psychological, social and structural barriers), a receiver and the feedback of receiver. The communication model has the channel through which the message is transmitted. There are two types of the channels: verbal and non-verbal. Verbal communication refers to the oral or written means transmitting meaning through words. Non-verbal communication doesnt use words and involves gestures. In current time, there are many technological channels for communication such as electronic mail, intranets, instant messaging, fax, telephone and other forms of computer mediated communication channels (Mcshane, VonGlinow Sharma, 2006). Business to business communication process includes the communication between two business entities, in which the one business entity perform the role of a sender and other one perform the role of a receiver. In other words, Business to Business Communication describes the communication between businesses such as between a manufacturer and a whole seller or between a whole seller and a retailer. All other element of Business to Business communication process is dependent on the environment and the purpose of the communication. Business to Business communication process would effective. If the environment of Business to Business is appropriate and propose of communication is also strong and effective (Guffey Almonte, 2009). Business to Business Messages Business to Business communication process is an internal process to develop relationship with the other business organizations, vendors, suppliers etc. In this competitive landscape, the Business to Business communication process is necessary for customer loyalty to protect against the competitor, employee motivation, brand protection or creation the awareness among the customer (Business-to-Business Communication, n. d. ). Business to Business Message of William Brother Corporation  The William Brother Corporation is an American company. The company is known for its quality metal doors. The company recently launched the new products lightweight gypsum ceiling access panel, portable fire extinguisher stands, roof hatches and floor hatches. The company communicates with their whole sellers and retailer to create the awareness about the product features, quality and the price. The company also informs about policies, terms and promotional strategizes of the new products. Subsequent to the discussion of the companys message now, I will analyze the message as follows: Purpose: The purpose of this message of the company is to create the awareness about the new launched products of the company between the whole sellers and retailers. The company provides the all technical information about the new product. Sender: Here, the sender is the company management team. Receiver: Here, receivers are the whole sellers and retailer of the company. Environment: The environment of this communication process is the internal and external environment. Technology: In this messaging, the technology used is written communication, oral communication and internet technology. Noise: In this message, noise can be formed by the traffic of internet and other website, which can directly affect the delivery of message. In addition to this, as it is a written and oral message, the noise factors can be lack of apprehension of language and information by the whole sellers and retailers (Mcshane, VonGlinow Sharma, 2006). Feedback: The Feedback of the whole sellers and retailers is that they understand about the new product features and they agree on the company policies and terms. They will help the company for promotion of the new launched product. The method of the technology used is the appropriate of the company. The oral and written communication would create the easy understanding about the product and the internet is best way to convey the message of the company. The message should the appropriate, because the message provides the all information about the product and the company goal. Business to Business Message of KFC Corporation KFC Corporation based in Louisville, Kentucky, is the worlds most popular chicken restaurant chain. There are many stores of KFC that operate in the world. For managing the all stores of company, the company communicates with their different stores management team through the messaging by the email and internet technology (KFC Corporation, 2010). In this message of the company, they had communicated, that company makes the some quality standards and policies for their food, which should maintain by the all stores of the company. These policies and the quality standards help to maintain the trust among the customers. Subsequent to the discussion of the companys message now I will analyze the message as follows: Purpose: Here, the purpose of this message of the company is to create awareness about the policies and quality standards and should maintain these quality standard to the management of the stores which are situated in all over the world. Sender: The sender is the company management. Receiver: The receiver is the stores management of the company. Environment: Here, the environment of this employed communication process is external environment. Technology: In message, the technology used is written communication and the internet technology by the company. Noise: In the messaging, noise can be formed as the message failure through the internet. In the written message the noise can be formed as the lack of apprehension of language by the management of company stores (Mcshane, VonGlinow Sharma, 2006). Feedback: The feedback of the receiver is that they will be maintain the quality standard of the food product and adopt the company policies. The company used technology, the written communication and the internet technology to create the awareness about their policies and the quality standards among their stores management. This would very effective for the company. Business to Business Message of Honda Motor Company Honda Motor Company is one of the largest automobile companies in the world. There has the big product line of the company in the world market. Honda Civic car is one of the popular products of the company. In the recently there has a technical problem generated in the Honda civic cars fuel pump. For the solution of this problem the company takes some actions. The company has sent the message to their authorized dealers to solve this problem by approaching the customers, who has the Honda civic (Honda Motor Corporation, 2010). Subsequent to the discussion of the companys message now we will analyze the message as follows: Purpose: Here the purpose of the message of company is to create awareness among the dealers about the product problem and to solve that technical problem of the customers product. Sender: The Sender is the technical department of the company. Receiver: The authorized dealers of the company. Environment: Here the environment of the communication is the external environment. Technology: The Company communicates with the written messages and the internet technology. Noise: In the messaging, noise can be formed as the message failure through internet and noise can formed as written message delay. Feedback: The feedback from the dealer was that they will solve this problem of the product as soon as. The technology of the message is the good. Both the medium of the message is the efficient and reach at the right time. Message purpose is the appropriate and easily understandable by the dealers.

Essay --

The Sweet Spot is Pretty Sweet Everyone knows that the sweet spot is the best place to hit a ball on a bat, but what really makes this the best place? The sweet spot is a very important spot on the bat, and without it, the ball will barely leave the infield. When someone hits the ball on the sweet spot, it feels very different from hitting the ball on the end of the bat or by the hands. Hitting the ball on the sweet spot makes it so the batter does not even feel the collision. There will be no vibrations, so therefore no stinging, when the batter hits the right area on the bat. Batters also have a hard time trying to extend through the ball when they do not hit the sweet spot. It is easy to extend and push the ball farther when the ball is hit on the sweet spot. Also, when the ball hits the sweet spot, all of the energy will go with the ball, making it go faster and farther. When the ball hits somewhere else on the bat, the bat will take a lot of the energy away from the ball making the ball not go as far. The swe et spot has more behind it than one would think, it differs in various types of bats, and it is the best place to hit the ball on a bat. There are many different definitions for the sweet spot of a bat. Most people who do not know much about the sweet spot would define it as the place on the bat where the ball goes the farthest when it is hit. They could also define it as the location that produces hardly any vibrational sensation, or sting, in the batter’s hands. But there are many more scientific definitions that the majority of people will not fully understand. It can be defined as the center of percussion, as well as the region between the nodes of the first two vibrational modes on the bat. Lastly, it is defined as ... ...uding the players themselves can have their own meaning of what the sweet spot is. Also, the sweet spot is located in almost the same place for both aluminum and wood bats, and there are not many differences between the two’s sweet spots. There are many elements in the bat when a ball hits the sweet spot, but the major one is the bending modes. These modes are extremely important for a bat, because they create the nodes that make up the sweet spot. Another important definition of the sweet spot is that it is the center of percussion. Then lastly, the sweet spot is the best place to hit the ball on the bat. There is no vibration or pain, and the hitter is pretty much guaranteed a good hit if they hit the sweet spot. The next time a batter gets a perfect hit, think about all of the things going on inside and outside of the bat when the ball hits the sweet spot.

Conventions of the Gothic Horror †The Tell-Tale Heart by Edgar Allen Poe Essay

Tick, tick, tick, the heart ticks on. The Tell-Tale Heart is another spooky Gothic Horror story written in the 19th century by Edgar Allen Poe. Written entirely in first person, we follow the account of a young man driven to insanity by his mad actions. The person we hear the tale from tells us of his emotions and his feelings along the way. The young man lives with an older man who has never harmed him or never done anything wrong to him, but he decides to kill the older man. The old man’s eye drives him to this terrible deed as it looks like a ‘vulture’s eye’ and makes his blood run cold every time it sets upon him. The young man slowly but surely progresses into a state of madness and plots the murder of the old man by spying upon him sleeping at midnight every night. We come to the night of the murder, and the young man is almost caught spying on him as the old man wakes from his sleep terrified, the time comes and the young man leaps into the room, throws the man to the floor and pulls the bed over him. He dies. Chopping the body into pieces and carefully hiding them under the floor boards the police call round about a scream they were informed of, the man is not afraid, but as he sits there chatting away to them calmly a ticking fills his ears and no matter what he tries it gets worse and worse until he finally goes mad and confesses to the police of his crime. We define different stories by genres, how we find out what genre the book fits in is by determining if the story has the correct conventions within it. Within the Tell-Tale Heart we are frequently shown conventions of the Gothic Horror genre, reversal of common norms is one convention shown to us: â€Å"He had the eye of a vulture†¦Ã¢â‚¬  From this quotation we can see the narrator describes the old man to have ‘the eye of a vulture’. As we know full well this is not very possible for some one to have the eye of a vulture and a normal human doesn’t have an eye of a vulture. This shows us the reversal of common norms and the irregularity of the characters in this story. The eye is compared to a vulture’s and this creates a sense of fear and unknown as the character is afraid of this eye even though he is not afraid of the owner. Abandoned isolated setting is another convention in the Gothic Horror genre and is shown in the Tell-Tale Heart: â€Å"Amid the dreadful silence of that old house† An abandoned setting is frequently used as a setting in the Gothic Horror genre as it easy to use this setting to create an atmosphere of danger, fear and concern. The Victorians are reflected in this convention as they were feeling abandoned and isolated after their beliefs and religion had been purposely ripped to shreds by science proving them wrong. Another convention is high emotion: â€Å"Very, very dreadfully nervous† We see that the narrator here is very nervous showing us his high emotions within the story and giving an atmosphere of fear. As it is told in first person we, the readers, are affected by the nervousness of the main character and in the story it creates an atmosphere of fear, nervousness and anxiousness. The Victorians were very nervous at the time of the crisis and were probably in a state of high emotion. Sense of mystery and suspense is yet another convention found within the Gothic Horror genre and the Tell-Tale Heart: â€Å"†¦ a very, very little crevice in the lantern. So I opened it — you cannot imagine how stealthily, stealthily†¦Ã¢â‚¬  Mystery and suspense is a convention that increases the Gothic Horror genre intensely as it builds up the emotions of the characters and leaves the readers wanting to read on to find out what happens, the atmosphere created by this convention is an agonizing heightened sense of anticipation. The Victorians would have been in suspense and most of it would have been mystery as well as they were waiting for some sign of their beliefs to be confirmed as still true. The use of darkness and gloom in the Tell-Tale Heart is shown often too: â€Å"†¦black as pitch with thick darkness†¦Ã¢â‚¬  Darkness and gloom creates an atmosphere of derangement and confusion as you feel something could jump out at you anytime. To the Victorians this would have scared them a lot as their loneliness and the darkness surrounding them could mask anything hiding and could scare them even more. â€Å"†¦It is the beating of his hideous heart!† This quotation shows us the convention of supernatural occurrences, we get from this quote that the narrator can hear the beating of his heart even though he is dead already. The atmosphere here is of fear and terror as the thought of a dead mans heart still beating is very scary and could drive even the sanest person into madness. For my last convention it will be dangerous omens: â€Å"All in vain; because Death, in approaching him had stalked him with his black shadow before him†¦Ã¢â‚¬  From this quotation we can feel a sense of someone being hunted or stalked, in this case it would be the man being hunted down by death and taken from the world. Atmospherically it would create fear and paranoia, as the feeling of getting pursued by an unknown person or being would be chilling and creepy. The Victorians could be represented as the people being stalked and science would be the stalker or hunter, as they were pursuing religion of the people and destroying it with their logical theories. The Tell-Tale Heart truly is a Gothic Horror story. With the conventions of Gothic Horror found within the story nearly every line you read, Edgar Allen Poe wrote an amazing, gripping and scary story in the 19th century, this story was called the Tell-Tale Heart.

Fuzzy Logic - Free Essay Example

Sample details Pages: 8 Words: 2363 Downloads: 1 Date added: 2017/09/23 Category Advertising Essay Type Argumentative essay Tags: Information Essay Did you like this example? Fuzzy Logic B. Vasanth, Electrical and Electronics Department, Rajalakshmi Engineering College Thandalam, Chennai, India [emailprotected] com I. INTRODUCTION Fuzzy logic was developed by Lotfi A. Zadeh in the 1960s in order to provide mathematical rules and functions which permitted natural language queries. Fuzzy logic provides a means of calculating intermediate values between absolute true and absolute false with resulting values ranging between 0. 0 and 1. 0. With fuzzy logic, it is possible to calculate the degree to which an item is a member. Fuzzy logic has rapidly become one of the most successful of todays technologies for developing sophisticated control systems. The reason for which is very simple. Fuzzy logic addresses such applications perfectly as it resembles human decision making with an ability to generate precise solutions from certain or approximate information. It fills an important gap in engineering design methods left vacant by purely mathematical ap proaches (e. . linear control design), and purely logic-based approaches (e. g. expert systems) in system design. While other approaches require accurate equations to model real-world behaviours, fuzzy design can accommodate the ambiguities of real-world human language and logic. It provides both an intuitive method for describing systems in human terms and automates the conversion of those system specifications into effective models. II. HOW DOES FUZZY LOGIC WORK? Fuzzy Logic requires some numerical parameters in order to operate such as what is considered significant error and significant rate-of-change-of-error, but exact values of these numbers are usually not critical unless very responsive performance is required in which case empirical tuning would determine them. For example, a simple temperature control system could use a single temperature feedback sensor whose data is subtracted from the command signal to compute error and then time-differentiated to yield the error sl ope or rate-of-change-of-error, hereafter called error-dot. Error might have units of degs F and a small error considered to be 2F while a large error is 5F. The error-dot might then have units of degs/min with a small error-dot being 5F/min and a large one being 15F/min. These values dont have to be symmetrical and can be tweaked once the system is operating in order to optimize performance. Generally, FL is so forgiving that the system will probably work the first time without any tweaking. III. FUZZY SETS A fuzzy set is a set whose elements have degrees of membership. That is, a member of a set can be full member (100% membership status) or a partial member (e. g. ess than 100% membership and greater than 0% membership). †¢A fuzzy subset F of a set S can be defined as a set of ordered pairs. The first element of the ordered pair is from the set S, and the second element from the ordered pair is from the interval [0, 1]. †¢The value zero is used to represent non-membe rship; the value one is used to represent complete membership and the values in between are used to represent degrees of membership. IV. FUZZY SET OPERATIONS ?Union The membership function of the Union of two fuzzy sets A and B with membership functions and respectively is defined as the maximum of the two individual membership functions. This is called the maximum criterion. The Union operation in Fuzzy set theory is the equivalent of the OR operation in Boolean algebra. ?Intersection The membership function of the Intersection of two fuzzy sets A and B with membership functions and respectively is defined as the minimum of the two individual membership functions. This is called the minimum criterion. The Intersection operation in Fuzzy set theory is the equivalent of the AND operation in Boolean algebra ? Complement The membership function of the Complement of a Fuzzy set A with membership function is defined as the negation of the specified membership function. This is cale ed the negation criterion. The Complement operation in Fuzzy set theory is the equivalent of the NOT operation in Boolean algebra. The following rules which are common in classical set theory also apply to Fuzzy set theory. ?De Morgan’s Law ?Associativity ?Commutativity ?Distributivity V. WHY USE FUZZY LOGIC? Fuzzy Logic offers several unique features that make it a particularly good choice for many control problems. 1) It is inherently robust since it does not require precise, noise-free inputs and can be programmed to fail safely if a feedback sensor quits or is destroyed. The output control is a smooth control function despite a wide range of input variations. 2) Since the Fuzzy Logic controller processes user-defined rules governing the target control system, it can be modified and tweaked easily to improve or drastically alter system performance. New sensors can easily be incorporated into the system simply by generating appropriate governing rules. 3) Fuzzy Logic is not limited to a few feedback inputs and one or two control outputs, nor is it necessary to measure or compute rate-of-change parameters in order for it to be implemented. Any sensor data that provides some indication of a systems actions and reactions is sufficient. This allows the sensors to be inexpensive and imprecise thus keeping the overall system cost and complexity low. 4) Because of the rule-based operation, any reasonable number of inputs can be processed (1-8 or more) and numerous outputs (1-4 or more) generated, although defining the rule base quickly becomes complex if too many inputs and outputs are chosen for a single implementation since rules defining their interrelations must also be defined. It would be better to break the control system into smaller chunks and use several smaller Fuzzy Logic controllers distributed on the system, each with more limited responsibilities. 5) Fuzzy Logic can control nonlinear systems that would be difficult or impossible to mo del mathematically. This opens doors for control systems that would normally be deemed unfeasible for automation. VI. HOW IS FUZZY LOGIC USED? 1) Define the control objectives and criteria: What am I trying to control? What do I have to do to control the system? What kind of response do I need? What are the possible (probable) system failure modes? ) Determine the input and output relationships and choose a minimum number of variables for input to the Fuzzy Logic engine (typically error and rate-of-change-of-error). 3) Using the rule-based structure of Fuzzy Logic, break the control problem down into a series of IF X AND Y THEN Z rules that define the desired system output response for given system input conditions. The number and complexity of rules depends on the number of input parameters that are to be processed and the number fuzzy variables associated with each parameter. If possible, use at least one variable and its time derivative. Although it is possible to use a single , instantaneous error parameter without knowing its rate of change, this cripples the systems ability to minimize overshoot for a step inputs. 4) Create Fuzzy Logic membership functions that define the meaning (values) of Input/Output terms used in the rules. 5) Create the necessary pre- and post-processing Fuzzy Logic routines if implementing in S/W, otherwise program the rules into the Fuzzy Logic H/W engine. 6) Test the system, evaluate the results, tune the rules and membership functions, and retest until satisfactory results are obtained. VII. DEGREES OF TRUTH Fuzzy logic and probabilistic logic are mathematically similar – both have truth values ranging between 0 and 1 – but conceptually distinct, due to different interpretations. Fuzzy logic corresponds to degrees of truth, while probabilistic logic corresponds to probability, likelihood; as these differ, fuzzy logic and probabilistic logic yield different models of the same real-world situations. Both degree s of truth and probabilities range between 0 and 1 and hence may seem similar at first. It is essential to realize that fuzzy logic uses truth degrees as a mathematical model of the vagueness phenomenon while probability is a mathematical model of randomness. 1)Truth values A basic application might characterize subranges of a continuous varirable. For instance, a temperature measurement for anti-lock brakes might have several separate membership functions defining particular temperature ranges needed to control the brakes properly. Each function maps the same temperature value to a truth value in the 0 to 1 range. These truth values can then be used to determine how the brakes should be controlled. Fuzzy logic temperature In this image, the meaning of the expressions cold, warm, and hot is represented by functions mapping a temperature scale. A point on that scale has three truth values—one for each of the three functions. The vertical line in the image represents a pa rticular temperature that the three arrows (truth values) gauge. Since the red arrow points to zero, this temperature may be interpreted as not hot. The orange arrow (pointing at 0. 2) may describe it as slightly warm and the blue arrow (pointing at 0. 8) fairly cold. 2)Linguistic variables While variables in mathematics usually take numerical values, in fuzzy logic applications, the non-numeric linguistic variables are often used to facilitate the expression of rules and facts. A linguistic variable such as age may have a value such as young or its antonym old. However, the great utility of linguistic variables is that they can be modified via linguistic hedges applied to primary terms. The linguistic hedges can be associated with certain functions. VIII. LIMITATIONS OF FUZZY LOGIC It is difficult to make arguments for certain theories if it cant be shown to perform alongside existing and accepted theories. Things like propositional logic are exact. If a statement in proposit ional logic could be illustrated with fuzzy logic and fuzzy logic did it better, then maybe fuzzy would be more widely accepted. Fuzzy logic cannot be used for unsolvable problems. This seems fairly reasonable, but its perception of being a guessing game may lead people to believe that it can be used for anything. An obvious drawback to fuzzy logic is that its not always accurate. The results are perceived as a guess, so it may not be as widely trusted as an answer from classical logic. Certainly, though, some chances need to be taken. How else can dressmakers succeed in business by assuming the average height for women is 56? Fuzzy logic can be easily confused with probability theory, and the terms used interchangeably. While they are similar concepts, they do not say the same things. Probability is the likelihood that something is true. Fuzzy logic is the degree to which something is true (or within a membership set). Classical logicians argue that fuzzy logic is unnecessary. A nything that fuzzy logic is used for can be easily explained using classic logic. For example, true and false are discrete. Fuzzy logic claims that there can be a gray area between true and false. But classic logic says that the definition of terms is inaccurate, as opposed to the actual truth of the statement. Fuzzy logic has traditionally low respectability. That is probably its biggest problem. While fuzzy logic may be the superset of all logic, people dont believe it. Classical logic is much easier to agree with because it delivers precision. Open-mindedness on the part of those who use logic is needed in order to change the acceptance of fuzzy logic. IX. EXAMPLES EXAMPLE 1 Fuzzy set theory defines fuzzy operators on fuzzy sets. The problem in applying this is that the appropriate fuzzy operator may not be known. For this reason, fuzzy logic usually uses IF-THEN rules, or constructs that are equivalent, such as fuzzy associative matrices. Rules are usually expressed in the form: IF variable IS property THEN action For example, a simple temperature regulator that uses a fan might look like this: IF temperature IS very cold THEN stop fan IF temperature IS cold THEN turn down fan IF temperature IS normal THEN maintain level IF temperature IS hot THEN speed up fan There is no ELSE – all of the rules are evaluated, because the temperature might be cold and normal at the same time to different degrees. The AND, OR, and NOT operators of Boolean logic exist in fuzzy logic, usually defined as the minimum, maximum, and complement; when they are defined this way, they are called the Zadeh operators. So for the fuzzy variables x and y: NOT x = (1 truth(x)) x AND y = minimum(truth(x), truth(y)) x OR y = maximum(truth(x), truth(y)) There are also other operators, more linguistic in nature, called hedges that can be applied. These are generally adverbs such as very, or somewhat, which modify the meaning of a set using a mathematical formula. EXAMPLE 2 Consider the colour wheel. Remember that there are 3 primary colours: Red, Yellow, and Blue. These colours, separately, represent crisp sets. For example, true red is a non-member of true blue and of true yellow; true blue is a non-member of true yellow and of true red; yellow is a non-member of true red and of true blue. There is a crisp boundary between these primary colours. But, it is possible to mix these colours with varying amounts of the true colours resulting in different shades of non-true colours. For example, mixing true red with true blue in equal portions of each will result in violet with a membership degree of 0. 5 in true red and 0. 5 in true blue. Different amounts of true red and true blue will result in varied membership values for the violet. The different violets represent the fuzzy boundaries between true red and true blue! EXAMPLE 3 Here is an example describing a set of young people using fuzzy sets. In general, young people range from the age of 0 to 20 . But, if we use this strict interval to define young people, then a person on his 20th birthday is still young (still a member of the set). But on the day after his 20th birthday, this person is now old (not a member of the young set). How can one remedy this? By RELAXING the boundary between the strict separation of young and old. This separation can easily be relaxed by considering the boundary between young and old as fuzzy. The figure below graphically illustrates a fuzzy set of young and old people. Notice in the figure that people whose ages are = zero and 20 and 30 are partial members of the young set. For example, a person who is 25 would be young to the degree of 0. 5. Finally people whose ages are = 30 are non-members of the young set. Don’t waste time! Our writers will create an original "Fuzzy Logic" essay for you Create order