Msys 111 revision
Compare and contast RFID tags and bar codes
RFID
Radio frequency id technology
Can read rdif tags from a greater distance
Don’t need to be put in a line of sight with the scanner
Can be read at faster rate than bar codes
Contain high levels of security
Barcodes
Traditional visual representation of data.
Much smaller and lighter than RFID tags therefore easier to use
Less expensive
Work with the same accuracy
Universal technology
Key difference is bar codes are the traditional id technology and RDIF tags are the new modern technology
1. How does globalisation 3.0 differ from 1.0 and 2.0
Globalisation 3.0 is the globalization of the individual vs 1.0 which was globalization of the countries in the world and
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Moores Law
The number of transistors per square inch on an integrated chip doubles every 18 months
Observation that over the history of computing hardware, the number of transistors in a integrated chip has doubled every 2 years.
Consequences of Moore’s law
1 Because of Moore law the ratio of price to performance of computers has fallen. For example the price of the standard computing device has fallen from around $4000 to something close to 1c for the same processor.
2 Because of Moore’s law the cost of data communication and data storage is essentially 0. Because there is basically no price on this technology there are wasteful and harmful aspects of business applications being developed then deemed useless and wasted.
MIS – Development and use of information systems that help businesses achieve there goals.
Information system framework
Hardware, software, data, procedures, people
Information is the transfers of wisdom – knowledge – information – data
Compare and contrast data, information and knowledge:
All three terms are similar yet have different meanings. Knowledge is what we know. It cannot be stored anywhere other than the brain.
Data is facts of the world. For example statistical facts on yourself – your height, weight, hair and eye colour. All of these facts are data. Data is perceived through our senses and then the brain can process it into knowledge.
Information allows us to expand our knowledge beyond our range of sense. We
Data is a group of information that are used for various purposes like analysis, evaluations and to arrive at certain results or conclusions. Data reporting is a process where data is extracted form a source or many sources and then converted into a format that can be used for a purpose.
Data is facts and numbers that hasn’t been modified or analysed for example times and numbers. When data is by itself it has no meaning to it however information by itself does have a meaning.
In 2013, Intel spent more than 10.6 billion in Research and Development (R&D), and became the third biggest spender in R&D. Intel invests in R&D to get on with Moore’s Law, an observation by company co-founder Gordon Moore in 1965 that computing power doubles every two years. As the company works to cram more transistors onto its circuits, development eats most of the company’s R&D spending. “It’s getting more expensive to do the development piece of it
Data is defined as useful raw material which is intended to be useful for both the originator and for the intended receiver. Data consists largely of facts and figures ideal for communicating the intended meaning. This data can be interpreted and can be categorised as follows;
According to Friedman globalization was classified into three time periods. Globalization 1.0 (1492 to 1800) was considered to shrink the world from large to medium due to countries globalizing for resources and imperial conquest. Globalization 2.0 (1800 to 2000) was considered to shrink the world from medium to small because of companies globalizing for markets and labor. Globalization 3.0 (2000 to present) is shrinking the
Data consists of the descriptions that can be used to summarize the raw facts of everyday happenings and objects. These raw facts can be anything from customer count to average sale per ring. PayPal co-founder Max Levchin said once said that “The world is now awash in data and we can see consumers in a lot clearer ways.” To a business owner like Max, data is important because it provides the means to make better decisions for the customer.
This presenter, an expert in computing, boldly announced that one day, processors would be tiny, small enough that everyone could own one. This alone was met with disbelief by the students, but his next statement was even more baffling to them. What he went on to say was that one day, almost everything would have a microprocessor in it, from coffee makers to dishwashers to telephones. At the time, they all thought that he was simply a dreamer, but as we can now see, these predictions came true, as almost every household appliance now has microprocessors, as well as smartphones and even
According to Moore's Law, "the number of transistors per square inch on an integrated chip doubles every eighteen months.” Because of Moore’s Law, “the cost of data communications and data storage is essentially zero.” I think Moore’s Law facilitates the entire history of Amazon. More specifically however, some include: the first online bookseller, the Launch of Amazon.com, Kindle 2 & Kindle DX, and
Data comprises of factual information. Data are the facts from which information is derived. Data is not necessarily informative on its own but needs to be structured, interpreted, analysed and contextualised. Once data undergoes this process, it transforms in to information. Information should be accessible and understood by the reader without needing to be interpreted or manipulated in any way.
“Data is plural of datum, which is the dates, numbers, ages, symbols, letters, and words that represent basic facts and observations about people, processes, measurements, and conditions.” To be useful, data must be accurate.
Intel actively searches for new opportunities in different (chip) markets, and when these new markets after a while are getting more and more established, Intel protects its market share by significantly reducing the chip’s prices (Lumpkin & Dess, 2001).
Although our vision was vaporous during 1980 to 2000, in a period of deceptive growth - information age, we were abide by the Moore’s Law(1965) and ‘the number of transistors per square inch on integrated circuits had doubled every year since their invention.’ However,
RFID, or Radio Frequency Identification, is becoming the new technology through which data can automatically be collected and transferred, along with the capability of tracking assets such as inventory, machinery, or even people. RFID readers collect, store, and relay important data to other application systems, and receives this information from RFID tags. The two types of RFID tags are active and passive. Active RFIDs use power and can broadcast signals to the RFID readers, while passive RFIDs are powerless and only communicate with the reader when within a specified distance. Passive RFID’s are typically used to identify things, whether it be patients at a hospital, drug authentication, inventory, etc; they are very similar to barcodes.
Moore’s Law was first predicted in 1965 and hence adjusted in 1975 by Gordon Moore; and, it was popularized by Carver Mead after the adjustment in 1975. In Moore’s first law, it state a hypothesis that that the number of transistor in a dense integrated circuit doubles approximately every two years. The Moore’s second law express which can be described as the economic side of Moore’s Law expresses that the cost of production of semiconductor fab would increase at a steady rate. In brief, both of the Moore’s Laws express the idea that the transistors in the integrated circuit will be doubled every two years while the cost of the production will be halved at the same rate of doubling.
The recent trend in computer technology is to instead increase the number of cores in the processor along with the transistors, to maintain proportional scaling of power. “As a result, architecture researchers have started focusing on100-core and 1000-core chips and related research topics and called for changes to the undergraduate curriculum to solve the parallel programming challenge for multicore designs at these scales” (Esmaeilzadeh 2012). Upcoming chips will be limited by power, thus higher core counts must provide performance gains despite the worsening energy and speed scaling of transistors.