The Mobot Project: Longwood :: essays research papers

The MOBOT Project: Longwood In modern engineering, a systematic approach is used in the design, operation, and construction of an object to reach a desired goal. The first step of the process employs what is commonly known as the scientific method. The next step involves forming an interdisciplinary team of specialists from not only the various engineering disciplines, but from other fields whose knowledge may be useful or even necessary to completing the project. This step doesn't apply to our project, due the confined nature of the class. Finally, considerations must be taken into account to ensure that the project is efficient as well as cost effective.   Ã‚  Ã‚  Ã‚  Ã‚  The goal of the MOBOT Project was to design and build a programmable robot. The robot had to complete a series of four movements in four given directions over a distance of at least 6 inches. Power and weight restrictions were applied to ensure the safety of the students and, more importantly, the teacher. As the goals of the project were made clearer, our group began discussing possible ideas for the design. There were some disagreements about whether we should take the electromechanical route or the purely electrical one. And after some deep thought, we all agreed that the mechanical way would be the simplest to build and the most merciful on our pocketbooks. Even though we were coming up with some good ideas, each design seemed to contain some major problems. One of the reoccurring problems dealt with the synchronization of the driver motor and the steering system. Finally the team came up with a design that allowed the drive and steering controls to be independent of one another, but still allowing each one to be linked in time. This design has now become what is known as LONGWOOD.   Ã‚  Ã‚  Ã‚  Ã‚  The Longwood is divided into two main parts: 1)motion system and 2)logic board. As the engineer, I was responsible for motion design. Therefore, that will be the focus for the remainder of this section.   Ã‚  Ã‚  Ã‚  Ã‚  The main components of the motion system consist of a platform, three wheels, a wheel frame, two motors, and two contact switches. Two of the wheels were connected to a motor and attached at the front end of the platform. These wheels were only allowed to move simultaneously in either a forward or reverse direction. The third wheel was hooked up to the wheel frame and free to rotate approximately 45 degrees in either direction. Figure 1.1 shows an illustration of how the wheel frame works. The wheel frame and third wheel were then attached to the platform completing the basic assembly.

Big Data Architecture, Goals and Challenges

Big Data Architecture, Goals and Challenges Coupons Jose Christianity Dakota State University Abstract Big Data inspired data analysis is matured from proof of concept projects to an influential tool for decision makers to make informed decisions. More and more organizations are utilizing their internally and externally available data with more complex analysis techniques to derive meaningful insights. This paper addresses some of the architectural goals and challenges for Big Data architecture in a typical organization.Overview In this fast paced information age, there are many different sources on corporate outworks and internet is collecting massive amounts of data, but there is a significant difference in this data compared to the conventional data, much of this data is semi- structured or unstructured and not residing in conventional databases. â€Å"Big data† is essentially a huge data set that scales to multiple potables of capacity; it can be created, collected, collab orated, and stored in real-time or any other way. However, the challenge with big data is that it is not easily handled using traditional database management tools.It typically consists of unstructured data, which includes text, audio and video files, photographs and other data (Kavas, 2012). The aim of this paper is to examine the concepts associated with the big data architecture, as well as how to handle, process, and effectively utilize big data internally and externally to obtain meaningful and actionable insights. How Big Data is Different? Big data is the latest buzzword in the tech industry, but what exactly makes it different from traditional Bal or data analysis?According to MIT Sloan Management Review, big data is described as â€Å"data that is either too voluminous or too unstructured to be managed and analyzed through traditional meaner† (Davenport, Thomas, Berth, & Bean, 2012). Big data is unlike conventional mathematical intelligence, where a simple sum of a k nown value yields a result, such as order sales becoming year-to-date sales. With big data, the value is discovered through a complex, refined modeling process as follows: make a hypothesis, create statistical models, validate, and then make a new hypothesis (Oracle, 2012).Additionally, data sources are another challenging and differentiating factor within big data analytics. Conventional, structured data sources like relational databases, spreadsheets, and yogis are further extended into social media applications (tweets, blobs, Faceable, linked posts, etc. ), web logs, sensors, RIFF tags, photos/videos, information-sensing mobile devices, geographical location information, and other documents. In addition to the unstructured data problem, there are other notable complexities for big data architecture.First, due to sheer volume, the present system cannot move raw data directly to a data warehouse. Whereas, processing systems such as Unprepared, can further refine information by mov ing it to data warehouse environment, where invitational and familiar Bal reporting, statistical, semantic, and correlation applications can effectively implemented. Traditional data flow in Business Intelligence Systems can depict like this, (Oracle. (2012). An Oracle white paper in enterprise architecture) Architectural Goals The preeminent goal of architecture big data solutions is to create reliable, scalable and capable infrastructure.At the same time, the analytics, algorithms, tools and user interfaces will need to facilitate interactions with users, specifically those in executive-level. Enterprise architecture should ensure that the business objectives remain clear throughout big data technology implementation. It is all about the effective utilization of big data, rather than big architecture. Traditional IT architecture is accustomed to having applications within its own space and performs tasks without exposing internal data to the outside world.Big data on other hand, w ill consider any possible piece of information from any other application to be instated for analysis. This is aligned with big data's overall philosophy: the more data, the better. Big Data Architecture Big data architecture is similar to any other architecture that originates or has a inundation from a reference architecture. Understanding the complex hierarchal structure of reference architecture provides a good background for understanding big data and how it complements existing analytics, 81, databases and other systems.Organizations usually start with a subset of existing reference architecture and carefully evaluate each and every component. Each component may require modifications or alternative solutions based on the particular data set or enterprise environment. Moreover, a successful big data architecture will include many open- source software components; however, this may present challenges for typical enterprise architecture, where specialized licensed software system s are typically used.To further examine big data's overall architecture, it is important to note that the data being captured is unpredictable and continuously changing. Underlying architecture should be capable enough to handle this dynamic nature. Big data architecture is inefficient when it is not being integrated with existing enterprise data; the same way an analysis cannot be completed until big data correlates it with other structured and enterprise-De data. One of the primary obstacles observed in a Hoodoo adoption f enterprise is the lack of integration with an existing Bal echo-system.Presently, the traditional Bal and big data ecosystems are separate entities and both using different technologies and ecosystems. As a result, the integrated data analyses are not effective to a typical business user or executive. As you can see that how the data architecture mentioned in the traditional systems is different from big data. Big data architectures taking advantage of many inpu ts compared to traditional systems. (Oracle. (2012). An Oracle white paper in enterprise architecture) Architectural Cornerstones Source In big data systems, data can come from heterogeneous data sources.Typical data stores (SQL or Nouns) can give structured data. Any other enterprise or outside data coming through different application Apish can be semi-structured or unstructured. Storage The main organizational challenge in big data architecture is data storage: how and where the data can be stored. There is no one particular place for storage; a few options that currently available are HATS, Relation databases, Nouns databases, and In-memory databases. Processing Map-Reduce, the De facto standard in big data analysis for processing data, is one of any available options.Architecture should consider other viable options that are available in the market, such as in-memory analytics. Data Integration Big data generates a vast amount of data by combining both structured and unstructur ed data from variety of sources (either real-time or incremental loading). Likewise, big data architecture should be capable of integrating various applications within the big data infrastructure. Various Hoodoo tools (Scoop, Flume, etc. ) mitigates this problem, to some extent. Analysis Incorporating various analytical, algorithmic applications will effectively process this cast amount of data.Big data architecture should be capable to incorporate any type of analysis for business intelligence requirements. However, different types of analyses require varying types of data formats and requirements. Architectural Challenges Proliferation of Tools The market has bombarded with array of new tools designed to effectively and seamlessly organize big data. They include open source platforms such as Hoodoo. But most importantly, relational databases have also been transformed: New products have increased query performance by a factor of 1,000 and are capable of managing a wide variety of big data sources.Likewise, statistical analysis packages are also evolving to work with these new data platforms, data types, and algorithms. Cloud-friendly Architecture Although not yet broadly adopted in large corporations, cloud-based computing is well-suited to work with big data. This will break the existing IT policies, enterprise data will move from its existing premise to third-party elastic clouds. However, there are expected to be challenges, such as educating management about the consequences and realities associated with this type of data movement. Nonparametric DataTraditional systems only consider the data unique to its own system; public data never becomes a source for traditional analytics. This paradigm is changing, though. Many big data applications use external information that is not proprietary, such as social network modeling and sentiment analysis. Massive Storage Requirements Moreover, big data analytics are dependent on extensive storage capacity and process ing power, requiring a flexible and scalable infrastructure that can be reconfigured for different needs. Even though Hoodoo-based systems work well with commodity hardware, there is huge investment involved on the part of management.Data Forms Traditional systems have typically enjoyed their intrinsic data within their own vicinity; meaning that all intrinsic data is moved in a specified format to data warehouse for further analysis. However, this will not be the case with big data. Each application and service data will stay in its associated format according to what the specific application requires, as opposed to the preferred format of the data analysis application. This will leave the data in its original format and allow data scientists to share existing data without unnecessarily replicating it.Privacy Without a doubt, privacy is a big concern with big data. Consumers, for example, often want to know what data an organization collects. Big data is making it more challenging to have secrets and conceal information. Because of this, there are expected to be privacy concerns and conflicts with its users. Alternative Approaches Hybrid Big Data Architecture As explained earlier, traditional Bal tools and infrastructure will seamlessly integrate with the new set of tools and technologies brought by a Hoodoo ecosystem.It is expected that both systems can mutually work together. To further illustrate this incept, the detailed chart below provides an effective analysis (Arden, 2012): Relational Database, Data Warehouse Enterprises reporting of internal and external information for a broad cross section of stakeholders, both inside and beyond the firewall with extensive security, load balancing, dynamic workload management, and scalability to hundreds of terabytes. Hoodoo Capturing large amounts of data in native format (without schema) for storage and staging for analysis.Batch processing is primarily reserved for data transformations as well as the investigati on of novel, internal and external (though mostly external) ATA via data scientists that are skilled in programming, analytical methods, and data management with sufficient domain expertise to accordingly communicate the findings. Hybrid System, SQL-Unprepared Deep data discovery and investigative analytics via data scientists and business users with SQL skills, integrating typical enterprise data with novel, multi-structured data from web logs, sensors, social networks, etc. (Arden, N. (2012).Big data analytics architecture) In-memory Analytics In-memory analytics, as its name suggests, performs all analysis in memory without enlisting much of its secondary memory, and is a relatively familiar concept. Procuring the advantages of RAM speed has been around for many years. Only recently; however, has this notion become a practical reality when the mainstream adoption of 64-bit architectures enabled a larger, more addressable memory space. Also noteworthy, were the rapid decline in me mory prices. As a result, it is now very realistic to analyze extremely large data sets entirely in-memory.The Benefits of In-memory Analytics One of the best incentives for in-memory analytics are the dramatic performance improvements. Users are constantly querying and interacting with data in-memory, which is significantly faster than accessing data from disk. Therefore, achieving real- time business intelligence presents many challenges; one of the main hurdles to overcome is slow query performance due to limitations of traditional Bal infrastructure, and in-memory analytics has the capacity to mitigate these limitations.An additional incentive of in-memory analytics is that it is a cost effective alternative to data warehouses. SMB companies that lack the expertise and resources to build n appropriate data warehouse can take advantage of the in-memory approach, which provides a sustainable ability to analyze very large data sets (Yellowing, 2010). Conclusion Hoodoo Challenges Ho odoo may replace some of the analytic environment such as data integration and TTL in some cases, but Hoodoo does not replace relational databases.Hoodoo is a poor choice when the work can be done with SQL and through the capabilities of a relational database. But when there is no existing schema or mapping for the data source into the existing schema, as well as very large volumes of unstructured or MME-structured data, then Hoodoo is the obvious choice. Moreover, a hybrid, relational database system that offers all the advantages of a relational database, but is also able to process Unprepared requests would appear to be ideal.

Poet makes the poem memorable Essay

‘Heroines’ is a poem written by Penny Windsor. The poem is about struggling mums trying to escape their lives as mums. By using different techniques the poet makes the poem memorable.  The similes in the poem are interesting. The similes show how the mums feel about their lives. The women are becoming unhappier, â€Å"the hill tops creep away like children playing games†. ‘The hill tops’ represent the women’s peak in life, their happiest times. ‘The hill tops creep away’ show the mums happiness slowly going away day by day, just like their children going away to play. The next simile in the poem shows that the mothers feel that they just can’t escape. â€Å"Plotting our escape like jail birds†. The mums feel trapped like prisoners in jail. They are desperate to get out of their situation. They can’t break free. In jail, prisoners go through the same routine everyday and that is how the mums feel. Another similes described the women becoming fearless, â€Å"tescoed prisoners rising from the household dust like heroines rising from the household like heroines†. The mums are being compared to a phoenix. A phoenix is said to go up into flames then is reborn from its ashes, stronger. The mums are going to become stronger and better by rising from the household dust for their children. The reason for the mums being reborn stronger is because they get some time to themselves. The get just ten minutes of the day to become stronger. They get that little time to revive themselves. That’s why the mums are going to be stronger and better by rising from the household dust for their children. The similes in the poem make me remember how the mums feel. The metaphors in the poem are creative. The metaphors show that the mums are something else. The women are changing into something different than they already were. â€Å"We are the terraced women†. The mums are turning into their own houses. They are in there houses so much that they are becoming them. The terraced houses all look the same and are no different from each other. The women feel like they are their houses because they are all so close together and the same as one another. Another metaphor in the poem shows that the mums have a different side that they don’t get to show that often. â€Å"Briefly we are wild women†. They can be something that they are not for a small moment in time. For only one occasion in the day they are free and not mums but they are â€Å"wild women†. They can let their hair down and relax, Talk about what they want without children being there. All the metaphors in the poem make it more outstanding. The imagery in the poem is very imaginative. The imagery shows that the mums lead a hard, difficult life. † We tug reluctant children†. The mums live a tough life. Their lives are a constant battle everyday. Even the easiest everyday things make life even harder for them. The word â€Å"tug† emphasizes how laborious their life is for them. The next piece of imagery in the poem gives a clear image of how hurt the mothers are. â€Å"We wave with hands scarred by groceries and too much washing up†. The mums are scarred by the life they lead. They are constantly looking after their children which never leaves them time to heal. Their scarring is physically but may also be much more mentally and underneath, deep down inside. The mothers are badly hurt and the imagery in this poem shows that. Also the imagery makes the poem impressive and easy to remember.  The repetition in the poem is intriguing. The repetition shows that the mums are worn out and bored with their lives. The women practically have no other name apart from mum.

MITIE plc is a UK FTSE 250 business Essay

There are three main business divisions of the group which are: 1) strategy & consultancy, 2) facilities and project management and 3) services. The facilities management group includes business services, catering services, cleaning, facilities management, landscaping, Pest control, PFI, and security. Under the property management division the company offers building refurbishment, fit-out, roofing and maintenance. Under the asset management division the company offers services such as mechanical and electrical engineering & maintenance, energy generation and management, ICT and infrastructure. Strategy Review of the Company. In 2009 the company’s business had a 59% and 41% ratio of private and public clients respectively. This split is in terms of revenues and the company believes as the government expenditure is a major proportion of the total GDP therefore this split might change in the short-run. The company believes that the next 12-18 months would be a difficult time as the world economic situation remains uncertain. However, the major focus of companies (clients) is on cost cutting and cost optimization. (Annual Report MITIE, 2009) In the transport and logistics sector the company’s main client base includes BAA, FirstGroup and Euro-star. The size of the target market is 11 billion Pound Sterling and the company’s share is 0. 7%, social housing is another sector which offers great amount of opportunities this is because the government has a number of programmes to provide better housing facilities and maintenance facilities. The government has a number of plans in partnership with the Homes and Communities Agency to support communities and the local governments. Healthcare is also an important market for the company as the higher levels of ageing population of UK will spend a lot on healthcare facilities and create opportunities for outsourcing. The market share was 0. 8% in 2009 for the company out of a total market size of 11 billion pounds. (Annual Report MITIE, 2009) Financial Analysis for 2008, 2009 of MITIE The revenue of the company in 2008 was 1. 4 billion pounds and it increased to 1. 521 billion in 2009 which is an 8. 2% rise on a year on year (YoY) basis. In terms of the business segments the highest revenues were recorded in the facilities management sector in both 2008 and 2009 with 2008 revenues exceeding 820. 4 million pounds and 2009 revenues for the facilities division topping 942 million pounds. A major change was the increase in margin contribution from property management services from 5. 3% in 2008 to 6% in 2009. From the total revenues of 1. 52 billion pounds, 297. 9 million were from property management and 281. 8 million were from asset management in 2009. The net profit margin for the year 2009 was 3. 57% whereas the net profit margin for 2008 was 3. 4%. The operating profit for the company increased from 70. 3 million pounds in 2008 to 78. 6 million pounds in 2009. This represented an increase of 11. 8% in the operating profits of the company. It is an indication of the higher level of productive efficiency at the company. The basic EPS (Earning per Share) increased by 16. 8% from 2008 to 2009. In 2009 the basic EPS was 16. 7p. The dividend per share in 2008 was 6. 0p and it increased to 6. 9p in 2009. The current ratio for 2008 was 1. 007 which meant that on aggregate there were more current assets available to pay off current liabilities. But an important thing that was noticed the fact that trade and receivables in 2008 were 314. 4 million pounds which is about 87. 5% of the total current assets. This means that the company is dependent on the timely payment from debtors in order to pay off creditors and other short-term liabilities. The 2009 current ratio for the company stood at 1. 09 which represents a slight improvement from the previous year. One of the main reasons for the slight improvement was that trade payables declined slightly in 2009 compared with the year end 2008 figure. In 2008 long-term liabilities as a percentage of total assets stood at 6. 2% which means that a very small amount of assets were being financed by long-term liabilities this also implies that the company has a potential to leverage its position and benefit from cheaper capital and ensure tax savings. In 2009 the long-term liabilities to total assets ratio decreased to about 5% which again implies a declining trend toward a long term borrowing regime. The company follows certain guidelines to ensure best practices in the finances of the company. It follows a number of key performing indicators (KPI); the conversion of EBITDA to cash is another financial KPI. This is an important indicator of a company’s success because the long-run sustainability of operations is dependent on positive cash flows that the company will ultimately generate. The company converted 97. 5% of its EBITDA (Earnings before interest, tax, depreciation and amortization) to cash for the year ended 31st March 2009. The same conversion rate was 90. 3% in the year 2008. The company also reported operating cash of 94. 4 million pounds in 2009 which represents an increase of 20. 7% in operating cash from previous year levels. This also shows that the company has improved its ability to meet its debt obligations throughout the two years and it has reduced its interest costs in the process.

Sub-Saharan Africa Essay Example | Topics and Well Written Essays - 1500 words

Sub-Saharan Africa - Essay Example The Serengeti mammal population is considered the largest one in the world, which makes it a perennial visiting site for tourists from across the whole world (Partridge, 2006, May 20). From the purely aesthetic point of view, Serengeti is one of the most picturesque territories in the whole African continent. Topographically, Serengeti encompasses a stretch of wide plains and open woodlands in southern Kenya, northern Tanzania, with the Olduvai Gorge, famous site where the fossils of first prehistoric hominid species were found, cutting across its territory (Sinclair & Norton-Griffiths, 1979, p. vii). Serengeti’s nature is its main treasure, with the host of certain mammalian species being more prevalent there than elsewhere in the continent. The migrant herbivore mammals are the most likely encounters for any tourist or traveler wishing to cross the Serengeti. The ecosystem of Serengeti, covering more than 25,000 sq. km, possess the well-defined natural boundaries that restri ct these grazing animals’ migratory movements and effectively explain the abundance of their various species there. To the north, the Loita plains of Kenya, with their dry conditions, limit the possible northward movements of the mammal herds, while to the east and south the Gol Mountains present further complications for any would-be migrant grazers (Sinclair & Norton-Griffiths, 1979, p.31). The only part of geographical surroundings that allow relatively safe connection to the external environment is the south-east crater highlands, with the Ngorongoro Crater hosting a variety of resident mammal population due to its abundant grass vegetation (p.32). The animal world of the Serengeti region is extremely diverse. When passing through the area, I encountered large herds of Blue Wildebeests, zebras and Thomson’s gazelles, in addition to less prominent, but not less diverse, herds of various lesser wildebeests and gazelles. The wildebeests of all types are the special at traction for all the visitors of Serengeti area, as they are increasingly involved in gargantuan-scale migrations that may encompass up to one million animals in them. The Serengeti region is one of the most picturesque and interesting areas of East Africa. It represents the best example of the still flourishing fauna of this part of the continent and, as such, can be recommended for further visits by the curious travelers. Ngorongoro Crater Area The next sight to be visited in the course of my travels across the Sub-Saharan Africa was the Ngorongoro Conservation Area, which presents an example of combination of the geologically complex landscape and the lively and diverse ecosystem. The history of the Ngorongoro area is rather interesting, as this region was one of the most ancient places of human settlement, as well as of the highly volatile relations between different local peoples and tribes. Nonetheless, the main attraction of the Ngorongoro region lies in its spectacular geolo gical features, as well as in its rich variety of fauna. From the geological standpoint, the Ngorongoro Crater attests to the volatile processes of mountain building that used to occur in this area millions years ago. Judging from the data produced by modern geologists, about 2 million years ago, the Ngorongoro Peak may

Is Globalization Beneficial for Canada Essay Example | Topics and Well Written Essays - 1500 words

Is Globalization Beneficial for Canada - Essay Example China like communist countries earlier visualized globalization as a strategy by capitalist countries to exploit the wealth and resources of other countries. However, the scenario has gradually changed and now most of the countries in the world accept globalization as a blessing rather than a curse. China is the number one exploiter of globalization at present. It is difficult for a country to progress properly with the help of individual capabilities alone. Globalization helps countries to mobilize its resources more effectively with the help of other countries. Collective growth is the major slogan put forward by globalization. Globalization affects almost the entire segments of human life. It affects economic, social, cultural, political and legal aspects of human life. Canada is one country which still keeps some reservations about globalization. Many of the Canadians still believe that globalization may help only rich countries whereas poor countries may not get many benefits ou t of it. In their opinion, globalization may destroy social, cultural, environmental and political values. However, it is an accepted fact that globalization can not only increase the cooperation between countries and but also it can reduce the conflicts between countries. It definitely sounds good that Canadian companies can operate in any part of the world and sell their products anywhere in the world without much barriers because of globalization. Moreover, Canadians may get better products for cheaper prices because of globalization. This paper analyses the pros and cons of globalization and argues that globalization is definitely beneficial to Canada in the long run. Globalization brought many positive political changes in the world. â€Å"Globalization opens up new possibilities for democratic influence on essential common issues which by their nature are about the notion of the nation’s state† (Torres, p.364). According to Lieber and Weisberg (2002), â€Å"Glob alization is a vital step toward both a more stable world and better lives for the people within it"(Lieber and Weisberg, p.274). It should be noted that the totalitarian administrations in countries like Libya, Egypt, Syria, Bahrain are on the verge of destruction because of agitations from the public. Globalization helped people in such countries to realize the extent of oppression they are facing and they started struggle for democracy in their countries. â€Å"Globalization is a multifaceted process and can be characterized as a systematic decline in the barriers to the cross-national flow of products, factors (capital and people), values and ideas†(Kaplinsky, p.46). In countries like America, Britain or Canada, manpower shortage is a big problem whereas in countries like India, China etc skilled manpower is excess. Exchange of workforce and outsourcing like activities help expensive labor oriented countries to exploit cheap labor markets. A work which is costing $ 100 in Canada can be executed in countries like India for $ 50 with the help of outsourcing. Moreover, immigrant communities in Canada always ready to work for cheap wages which help the industries or organizations in Canada to compete effectively in international market. Canadian products cannot reduce the price or compete effectively in the international market if Canadian organizations employ only highly paid locals in their firms. â€Å"Rises in international trade openness have exerted some pressure on policy makers to lower business cost through tax reductions. Tax rate changes improve the international price competitiveness of firms regardless of their level of mobility†(Weiss, p.75). Tax reduction is another major advantage of globalization.

Minimum Wage Essay Example | Topics and Well Written Essays - 1000 words

Minimum Wage - Essay Example Critics are of the view that minimum wage forces employers to appoint only skilled workers and therefore employees with lesser skills may struggle to get employment. This paper argues in favour of minimum wage after analysing both the sides of the issue. â€Å"The vast majority of economists believe the minimum wage law costs the economy thousands of jobs†(Messerli). In their opinion, enforcement of minimum wage will decrease the demand for workers. They explain their argument based on the supply and demand theory of economics. When salary goes up, supply of workers will also goes up and thereby the demand for the workers will geos down. In other words, when supply increases, demand decreases. The above theory might be true in theoretical terms, but in practical terms, it may not be so. It should be noted that majorities of the western countries are outsourcing their jobs to India like Asian countries at present because of the labour shortage. It should be noted that in countr ies like America and Britain, an ordinary worker is getting salaries, three to four times more than that an Indian worker is getting in his country. In other words, even though the wages are high, supply of labour force is not increasing in countries like America and Britain. On the other hand, in India like countries even though the wages are low, excess of supply of labour is in place. ... Part-time work and full time work should be separated from each other. Minimum wage for part time work need not be the same as that of the full time. Authorities can prescribe separate norms of minimum wage with respect to part time and full time work. Moreover, separate minimum wage norms can be enforced with respect to the qualification and experience of the employees. â€Å"Abolishing the minimum wage will allow businesses to achieve greater efficiency and lower prices. Anytime you give businesses more flexibility, you will increase efficiency and lower prices† (Messerli). It is an accepted fact that only a satisfied worker will try to deliver more than 100% of his efficiency. In other words, workers who struggle to get a decent salary may not be fully committed to the organization. It is better for an organization to have more committed workers to increase its efficiency and productivity rather than having a huge workforce of unskilled or cheaper labours. Salary is the maj or motivating factor for the employees and therefore minimum wage will definitely motivate the workers more and thereby the organization will be benefitted. â€Å"Adults who currently work for minimum wage are likely to lose jobs to teenagers who will work for much less. Many adults trying to make a living are forced to work minimum wage jobs† (Messerli). Employers may exploit the workers in the absence of a minimum wage law. They will try to terminate experienced workers even without any reasons, for appointing fresh workers in order to reduce their employee wage expenditure. Thus, even experienced employees will be forced to work under tremendous pressure if minimum wage law is not implemented. In the absence of minimum law, business will take undue advantages in the form of