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US Militarism: War Brides and Internment Essay

History holds a lot in regard to various events that took place at different times and the experiences people went through. Some experiences are remembered for their benefits while others are committed to memory for the drawbacks associated with them. The US Militarism is a concept that is known for various things, both positive and negative. This piece of work will look at the concept of the US involvement in foreign wars and its effects on Asian women in the US and other parts of the world. Although these women faced a lot of negative treatment, they tried to fight back through resistance. Research shows that Asian war brides faced negative treatment in the United States of America as well as in their home country. In the United States, these women faced negativism in the form of cultural isolation, sexism as well as racism making their lives extremely uncomfortable. They were for example seen to be immoral and inferior. A critical issue involved evacuation from the West coast regions to detention camps under the observation of the military. This was extremely intimidating and painful since they did not find acceptance and solace in the place they moved to. Many people also faced imprisonment including the aged and the children. To cope with the situation the women opted to use some resistance which is perceived with some controversy with some taking their reaction as the women’s way (as per their culture) of dealing with problem situations while others take it as a pure form of resistance (Vo and Sciachitano Xiii). The Asian women suffered a lot from isolation and bad treatment and as a result of this; they had to learn on some survival tactics while in America. Some of the coping mechanisms adopted by the Asian women reflect some form of resistance, rather than just a passive-aggressive behavior. They include, looking for sources of financial and moral support for instance by formation of community groups that offered them with power through unity. Another way is disguised resistance where they behaved in a manner that deceived, that is, they tended to show good behavior and attitude towards their husbands as well as the American culture and the society at large whereas they did this in order to safeguard their opinions and desires. This resistance was therefore carried out in a manner that was not very visible, to those in power, and hence it was to the women advantage and a defense mechanism too (PBS 2009). From the above discussion, it is evident that the Asian war brides faced a lot of problems especially in the United States. A form of resistance is also observed in their attempt to making their lives bearable. Culturally, the Asian women are known to deal with problems in a passive-aggressive way but in this case, their reaction is seen as a form of resistance due to the specific actions they took as discussed above. Get your 100% original paper on any topic done in as little as 3 hours Learn More It is also clear that the United States involvement in foreign wars had major impacts on the lives of many individuals. The Asian women suffered greatly in the United States as well as other parts of the world under the US military rule. The discrimination and oppression faced by these women contributed to their resistance, which they used as a coping mechanism. Works Cited PBS. THE NATIONAL PARKS | Manzanar: “Never Again” PBS, 2009. 26 Sept. 2011. <https://www.youtube.com/watch?v=XgmY2P-xT_Y
HIST 110 San Diego State University Theodore Roosevelt Achievements Discussion.

Answer the following study questions  in a 300-word minimum essay, 100 words minimum for each of the 3  questions posed, referring to the assigned sources linked above, i.e.,  the documentary film and the Powerpoint Lectures. Do not answer in  bullet points or in a numbered list, but write at least 3 full  paragraphs, one paragraph in response to each of the questions posed. At  the end of your essay  YOU MUST post a study question of your own for  your fellow students to consider and answer in their response posts. 
PROMPT:
Over the years, Theodore Roosevelt has  appeared “larger than life” with a bombastic personality coupled with  stunning accomplishments that you either loved or hated.  Referencing  the sources given for this assignment, the film and the powerpoint, what  do you believe were his  3  most important achievements and why? How do  these impact your life today? Write one paragraph for each of these 3  subjects, answering the parameters listed above.
Citation is needed for this discussion board!!!
HIST 110 San Diego State University Theodore Roosevelt Achievements Discussion

need to write 600 words in apa format. I don’t understand this Management question and need help to study.

This assignment will help you digest the textbook material. In the Discussion Forum, post an APA formatted paper of at least 600-words about the week’s reading material. What is your understanding of the material covered? Also, address in your own words:
Chapter Five

Explain the ethical, corporate social responsibility, and sustainability issues faced by international business.
Identify the causes of unethical behavior by managers as they relate to business, corporate social responsibility, or sustainability.
Describe the different philosophical approaches to business ethics that apply globally.
Explain how global managers can incorporate ethical considerations into their decision making in general and for corporate social responsibility and sustainability initiatives.

need to write 600 words in apa format

Navel Model to Image Separation in Scanning Tinny Letter

Somayeh Komeylian Department of Tel-Communication Engineering, Islamic Azad University South Tehran Branch, Tehran, Iran Armin Mehrabian Department of Medical, Mashhad Medical Science University, Mashhad, Iran Saeed Komeylian Factory of graduated students, Department of Tel-Communication Engineering, Sharif University of Technology, Tehran, Iran In this paper, a navel model has been introduced to image separation in scanning tinny letter. The proposed model is based on Almeida et al. (2006) model. First, the basic image separation method has been explained, and then the proposed pre-processing methods have been presented. In addition, separation method presents based on two sampled wavelet and contour transform which has adaptive structure. The result showed that proposed model has a good quality with a little runtime. On the other hand, this model which use directional filter bank has better effect in separation with approximately two level of decomposition. Finally, the two mainly proposed algorithms (NSWT and Improved NSCT) shows that, we achieve to really good results which our separated images have absolutely good quality by using preprocessing and these methods simultaneously. Keywords: Image separation; contour let; non-subsample wavelet. When we scan or photograph a paper document, especially if the paper is thin or transparent, the image from the backside often appears on the image from the front page. This is a routine problem which is usually occurs, when the electronic version of an old document or a book is needed. Extracting sources from mixture images is a problem of blind source separation. Independent Component Analysis (ICA) is one of the good solutions for this problem, which is done with linear and nonlinear ICA in [3] and [4], respectively. The results show that the nonlinear solution is better, because images are mixed through a nonlinear procedure. In [3] authors use a nonlinear method, which is named MISEP that is based on multilayer perception used in neural network. In the most of ICA methods the result are achieved from adaptive or iterative algorithms, which are time-consuming procedures. Another work was based on the nonlinear de-noising source separation (DSS) method [6]. This method is supposed when two images have independent sources and have different frequency components in the same locations. These conditions are the same as those exist when a source is contaminated by noise. Therefore, nonlinear de-noising might be used for source separation. The separation method used here is similar to that implemented in [6]. However, we believe that human visual perception uses different edge directions in the mixed subjects to separate them. Therefore, we improved the method in [6] which based on exact high frequency separation. As well known, wavelet analysis offers limited directional information in representing image edges when separable one-dimensional transforms are used for images. Minh N. Do and Martin Vetterli developed a “true” two dimensional representation, called contour let [7], which can capture the intrinsic geometrical structure that is key in visual information. Compare to the recent image representations this construction results in a flexible multi-resolution, local and directional image expansion using contour segments. Moreover, sub sampling process in the wavelet transform change the geometric information of image details like edges. So, non-subsample wavelets are introduced for decomposing the image frequency components with better saving its geometric information. For comparing the results with [6], here we use the images that Mr. B. Luis. Almeidamade in his laboratory. He dealt with a difficult version of image mixture problem, corresponding to the use of onionskin paper, which causes a strong nonlinear mixture. The source and mixture images are shown in figures 1 and 2. More information about images is available in [1] and [2]. This paper is organized as follows: Section 2 explains the basic image separation method which is used in this paper. Section 3 introduces the proposed pre-processing methods. Section 4 presents separation method based on non-sub sampled wavelet and non-sub sampled contour let transform which has adaptive structure. Section 5 explains the experimental result. Section 6 has some discussions about the results. Section 7 gives the concluding remarks. The nonlinear image separation procedure based on de noising source separation [1] is based on wavelet transform, and uses very basic information about the sources and the mixture procedure. This information is based on two observations: First; the high frequency components (details) of common images are sparse. As a consequence, the wavelet coefficients from two different source images will seldom both have significant values in the same image location. Fig. 1 :Five source image pairs [1]. Second: Each source is more strongly represented in the image acquired from that side of the paper in which that source is printed than in the image acquired from the opposite side. The schematic representation of the separation method is shown in Figure 3. In this figure, the mixed images are first pre-processed by the following relation: where elements of Q matrix is the auto covariance of mixture matrix. This equation applies a linear transformation to the mixed sources. The nonlinear process is based on wavelet analysis which iteratively decomposes the approximation coefficients Aj(the low frequency component) at level j to four components (the approximation at level j 1, and the details in three orientations; horizontal, vertical, diagonal). Fig. 2: Five mixture image pairs after scanning [1]. components (the approximation at level j 1, and the detail sin three orientations; horizontal, vertical, diagonal). After performing wavelet decomposition on mixed images for a certain number of levels, a competition is performed between the corresponding high frequency components from the two mixture images in each side of paper, according to following equation: are the wavelet coefficients of a given type (for example vertical coefficients at the first decomposition level) of the decomposition of the i th mixture image, x3−i are the corresponding coefficients from the other mixture image, and a is a parameter that controls the strength of the competition. Fig.3: Schematic representation of wavelet-based separation method[1] This competition was applied to all horizontal, vertical and diagonal wavelet coefficients at all decomposition levels. The competition computes mask mi through a soft winner take all function [1], and then applies this mask to the wavelet high frequency coefficients of the mixture images, so that the coefficients are intensified in the image in which they originally were stronger and weakened in the image in which they were weaker. The separated images then will be synthesized using the wavelet coefficients compute competition in high frequency. In [1], one-dimensional discrete wavelet basis are separately used in horizontal and vertical directions. In the first step we assume the mixing procedure is a linear process and try to estimate the mixing matrix and implement the inverse matrix for separation. Although, we know the linear assumption is not completely right, however, it can be used as a pre-processing step to separate the mixed images. Since the source images are not available, the mixing matrix should be estimated through a statistical approach. The following approach is written for this purpose. If we show the source signals as S, mixture signals X and the mixing matrix as A, then we have: X= AS (4) In equation (5) we assume that the variables are zero-mean. This means we deal with the mean subtracted source and mixture images. From Eq (5) the autocorrelation matrix of mixed images is: From Equation (6) and (7) we could write: (8) (9) Since b>a, then only the plus sign is correct and from equation 6 we have : X1 X2 = (a2 b2) (S1 S2)(11) A. First Pre-processing Method We assume that total energy of pictures before mixing and after that are equal. We use equation 11 and have some manipulation from these simple equations for a and b. a2 b2 = 1 (12) (13) (14) B. Second Pre-processing Method We assume that when a packet of light emitting from scanner laser, b is the amount of light which went through the paper and a is the amount of light which reflect from first side of paper. In this method, we assume that, the amount of light which go through the paper and the amount of light which reflect back, together are constant. We have: a b = 1(15) (16) But in this case, when we extract images, the contrast of images is high. For this effect we use modified form of this equation as below: a b = 1.4(17) (18) C. Third Pre-processing Method We know from equation 5 that: (19) This equation has four undefined parameter and from equation 8 we have three equations. Assume that for normal deviation of mixture images and primary image we have: (20) This is the other equation to solve four undefined parameters. By solving(19),we can determine a and b. : (21) Where s1 and s2 are separated sources through a linear process. Fig.4: Result of implementing the proposed pre-processing method Since, we estimated the mixing matrix through non-exact assumptions it should be examined to show how it can separate the mixed images. Therefore we applied these three pre-processing method.We see that these three equation which derive from previous assumption has approximately the same extraction Figure (4-a) shows the mixed and processed images. From Fig4 b) we can see the proposed linear process 3 could approximately separate the mixed images. Although, s1 and s2 are not completely separated, we use the linear process as pre-processing step and those may be used for final separation through the nonlinear process that will be explained in the next section. The results of applying our pre-processing method to one pair of mixed images are shown in Fig. 4. The results show that the proposed method has partly separated the mixed images. The most important goal of this separation method is to obtain a sparse edge and contours of images that are placedin high frequency component of images. Wavelets for decomposition is not good [9] because when we use wavelets, in each level of decomposition, a down sampler shrink the size of the remainder and competition in high frequency is not exact and when we reconstruct image from that, blocking effect appear. Because assume the size of image is odd. In down sampling we have not an exact decomposition and in reconstruction, images don’t have a good quality and appear some block. In first method we use NSWT which approve those blocking effect. This method has very short runtime and is acceptable for approximately all application. The other method is based on NSCT. This method is composed of pyramid decomposition and directional filter bank. Pyramid decomposition is shown in figure5 and directional filter bank is shown in figure 6. When we use these two decomposition at the same time we have a composed method which is shown in figure 7. Fig.5: Pyramid Decomposition Fig.6: Directional filter bank Directional filter bank have a good property that can describe diagonal line in pictures and if we use it for separation we have a better result. For each decomposed frequency based part, we use our well-known mask which is described before. We present an adaptive form of NSCT which is announced below. Fig.7: Combining two methods We first decompose in first level and apply separation mask. Then we reconstruct images and use correlation factor among them. If it is too low for example 0.01, extraction is good. If it is higher than some threshold we decompose image in further level and use separation mask. In this method, it is not necessary that we define decomposition level at first. NSCT has other good performance which is shift invariant. This property has no blocking effect. In this section we present experimental result from our method which are NSWT and improved NSCT. These two methods have an approximately complete separation result. First method has low runtime but in order to compare it with NSCT, the last one has a better separation result because we use directional filter bank and it could better separate high frequency in two images in every direction which we want. In NWST we use 6 and 7 level decomposition and since it has fast algorithm to decompose picture in wavelet form. In improved NSCT we use an adaptive form which it has little runtime and can separate in each direction we want. In figure 8 we show the experimental result for NSWT and in figure 9 we show the other one for NSCT. Fig.8: The result with NSWT Fig.9: The result with improved NSCT We see from the results that, our separation methods have better results in compare with the proposed methods in references. In our case, we derive very simple equations that can separate two mixture images linearly, which leads to a from the results that, our separation methods have better results in compare with the proposed methods in references. In our case, we derive very simple equations that can separate two mixture images linearly, which leads to a time-efficient algorithm. The two mainly proposed algorithms (NSWT and Improved NSCT) shows that by using preprocessing and these methods simultaneously, we achieve to really good results and our separated images, have absolutely good quality. In this paper we present a new preprocessing method which has a simple function and high precision in separating mixture images with linear form. Also we use two other separation rule that approximately separate images completely. NSWT has a good quality with a little runtime. On the other hand, NSWT which use directional filter bank has better effect in separation with approximately two level of decomposition. References [1] Mariana S.C. Almeida and Luis B. Almeida, “Wavelet Based Nonlinear Separation Of images”, Instituto de Telecommuincacoes, Lisboa, Portugal, 1-4244-0657 -9/06, 2006 IEEE. [2] Luis.B.Almeida,”http://www.lx.it.pt/~lbameida/ica/seethrough/index.html. [3] L.B. Almeida, “MISEP-Linear and Nonlinear ICA Based On Mutual Information”, Journal of Machine Learning Research, vol. 4, pp. 1297-1318, 2003 [4] L.B. Almeida, “Separating a Real-life Nonlinear Image Mixture”, Journal Of Machine Learning Research, vol.6, pp. 1199-1229, July 2005. [5] Mariana S.C Almeida and Luis B Almeida, “Wavelet Based Separation of Show-through and Bleed-through Image Mixtures”, Instituto de Telecommuincacoes, Lisboa, Portugal, November 2007. [6] M.S.C.Almeida, H.Valpola and j. Sarela, “Separation Of Nonlinear Image Mixtures By Denoisind Source Separation” in Independent Component Analysis and Blind Signal Separation, J. Rsca, D. Erdogus, J.principe and S.Haykin, Eds.,Belin,Germany,2006 [7] Duncan D., Y. Po and Minh N. Do, “Directional Multi-scale Modeling of Images Using the Contourlet Transform”, IEEE Transactions on image processing, vol. 15, Issue 6, Jun 2006, p.p.1610-1620 [8] AzadehBamdadMoghadam, “NSCT based for image extraction”, Master of science Thesis in Iran University of Science and Technology,Spring2008. [9] Gonzalez and Woods, “Digital Image Processing” 3rd Edition 2008.

This is a structured survey. It doesn’t need to necessarily have to be structured physically as a survey (though Essay

custom essay This is a structured survey. It doesn’t need to necessarily have to be structured physically as a survey (though it could), more like questions on a survey. Attached will be a screenshot of the instructions as well as a PDF that the conclusion regards. The PDF is a case study.

Body Composition research

Body Composition research.

Body Composition: Research 2 different body composition formulas. Some may be for specific populations (athletes, elderly, cardiac), some might use body density and some may use circumference measurements. What variables are important in measuring body composition? What is the reliability of these formulas? (reliability = consistency)What is the margin of error? (this will typically be a percentage i.e.: 3-5% )Experiment with 2 subjects using these 2 different formulas. Using each formula on each subject compare the results. Determine their Resting Metabolic Rate (RMR) using the Harris Benedict formulas, BMI, fat free mass and pounds to lose (if applicable) based on the ACSM recommendations for body composition. (BMI and Waist Hip Ratio are NOT considered body compositions formulas.) You may NOT use either of these.
Body Composition research

Swot analysis of measuring strategic management

Swot analysis of measuring strategic management. Almost every successful CEO understands the importance of offering quality service to gain a distinctive advantage over the competition. Given SWOTs straight forward appeal, it has become a popular tool to use for strategic planning. Dubrin (2008). The objective is to describe the method of SWOT analysis as a comprehensive, internal analysis tool to help process company internal and external information, able to deliver significant added value to an organizations strategic management. Modern textbooks on strategy still feel obliged to include SWOT, even if they have reservations about its application. Introduction Positioning the firm for a sustainable competitive advantage by utilizing the firm’s strengths to exploit opportunities and neutralize threats while avoiding or fixing weaknesses has long served as the core framework for formulating the firm’s strategy (Learned et a!., 1965). This ‘SWOT’ analysis benefited greatly from the insights of industrial organizational economics, especially the work of Porter (1980; 1985). SWOT analysis was first introduced by Stanford University’s Albert Humphrey in the 1960’s (GRIN Verlag, 2007, p. 2). As a starting point for the development of strategic options, Professor Kenneth Andrews first identified the importance of connecting the organisation’s purpose – its mission and objectives – with its strategic options and subsequent activities. ‘The interdependence of purposes, policies, and organised action is crucial to the particularity of an individual strategy and its opportunity to identify competitive advantage.’ Lynch (2006). The intended purpose of this critique is to define, understand the usefulness, value, the creation of actionable intelligence and to identify those internal strengths and external opportunities that an organization can leverage to accomplish its objectives. Additionally, how the marketing strategy can be developed using corporate strengths as well as avoiding corporate weaknesses to enable a company to benefit from future opportunities with regards to future risks (Bohm 2008, p2). An example of a SWOT analysis is provided which been developed by GARTNER on behalf of BMC to help identify issues relating to BMC’s core IT operations management (ITOM) software offerings. A SWOT analysis summarises the key issues from the business environment and the strategic capability of an organisation that are most likely to impact on strategy development. (Exploring Corporate Strategy) A SWOT analysis is a tool strategists use to evaluate Strengths, Weaknesses, Opportunities, and Threats. Strengths are company resources and capabilities that can lead to a competitive advantage. Weaknesses are resources and capabilities that a company does not possess, to the extent that their absence places the firm at a competitive disadvantage. Opportunities are conditions in the broad and operating environments that allow a firm to take advantage of organizational strengths, overcome organizational weaknesses, and/or neutralize environmental threats. Threats are conditions in the broad and operating environments that may impede organizational competitiveness or the achievement of stakeholder satisfaction. The central purpose of the SWOT analysis is to identify strategies that align, fit or match a company’s resources and capabilities to the demands of the environment in which the company operates. (Strategic Mgmt book). The starting point in formulating strategy is usually a SWOT analysis. As a framework, SWOT analysis is highly commended for its simplicity and value in focusing attention on key issues which affect business development and growth. (Journal:Strategic Change). A SWOT analysis must first start with defining a desired end state or objective that is agreed by management. A SWOT analysis may be incorporated into the strategic planning model. It is therefore important to align the SWOT analysis with the organisation’s vision, mission, goals and objectives. (OGC,ITIL v3 CSI) Fig 3 Source Bohm, (2008) SWOT analysis can include: 1) Internal Analysis: The internal analysis is a comprehensive evaluation of internal environment’s potential strengths and weaknesses. Strengths: A strength is a strong point of the company i.e. something a company is good at doing or characteristics that gives it an important capability. Strength can be a skill, a competence, a valuable organizational resource or competitive capability or achievement that gives the company an advantage. Important or crucial strengths are to be identified. These factors count more in determining performance, in competing efficiently and in formulating powerful strategy. Strengths are like strategic assets and they are the basis for building competitive advantages 2) External Analysis: The external analysis is a comprehensive evaluation of external environment’s potential opportunities and threats. Opportunities: An opportunity is a favourable condition in the organization’s environment which enables it to strengthen its position. Some examples of opportunities are: An unfulfilled customer needs arrival of new technology, removal of international trade barriers etc. Threats: A threat is an unfavourable condition in the organization’s environment which causes a risk or damage to the organisation’s position. Some examples of threats are: Emergence of substitute products, new regulations, increased trade barriers etc. When in implementing a SWOT analysis to devise a set of strategies the following guidelines can be followed. Strengths (Weihrich, 1982) Determine your organization’s strong points. This should be from both your internal and external customers. Do not be humble; be as pragmatic as possible. Are there any unique or distinct advantages that make your organization stand out in the crowd? What makes the customers choose your organization over the competitions? Are there any products or services in which your competition cannot imitate (now and in the future)? Weaknesses (Weihrich, 1982) Determine your organization’s weaknesses, not only from your point of view, but also more importantly, from your customers. Although it may be difficult for an organization to acknowledge its weaknesses, it is best to handle the bitter reality without procrastination. Are there any operations or procedures that can be streamlined? What and why do your competition operate better than your organization? Is there any avoidance that your organization should be aware of? Does your competition have a certain market segment conquered? Opportunities (Weihrich, 1982) Another major factor is to determine how your organization can continue to grow within the marketplace. After all, opportunities are everywhere, such as changes in technology, government policy, social patterns, and so on. Where and what are the attractive opportunities within your marketplace? Are there any new emerging trends within the market? What does your organization predict in the future that may depict new opportunities? Threats (Weihrich, 1982) No one likes to think about threats, but we still have to face them, despite the fact that they are external factors that are out of our control. For example, the recent major economic slump in Asia. It is vital to be prepared and face threats even during turbulent situations. What is your competition doing that is suppressing your organizational development? Are there any changes in consumer demand, which call for new requirements of your products or services? Is the changing technology hurting your organization’s position within the marketplace? Overall a SWOT analysis should help focus discussion on future choices and the extent to which an organisation is capable of supporting these strategies. As a planning tool, SWOT analysis has many benefits Simplicity SWOT analysis requires no extensive training or technical skills to be used successfully. The analyst needs only a comprehensive understanding of the nature of the company and the industry in which it competes. Lower Costs Because specialized training and skills are not necessary, the use of SWOT can actually reduce the costs associated with strategic planning. As firms begin to recognize this benefit of SWOT analysis, many opt to downsize or eliminate their strategic planning departments. Flexibility SWOT can enhance the quality of an organisation’s strategic planning even without extensive marketing information systems. However, when comprehensive systems are present, they can be structured to feed information directly into the SWOT framework. The presence of a comprehensive information system can make repeated SWOT analyses run more smoothly and efficiently. Integration and Synthesis SWOT analysis gives the analyst the ability to integrate and synthesize diverse information, both of a quantitative and qualitative nature. It organizes information that is widely known, as well as information that has only recently been acquired or discovered. SWOT analysis can also deal with a wide diversity of information sources. In fact, SWOT helps transform information diversity from a weakness of the planning process into one of its major strengths. Collaboration SWOT analysis fosters collaboration and open information exchange between functional areas. By learning what their counterparts do, what they know, what they think, and how they feel, the analyst can solve problems, fill voids in the analysis and eliminate potential disagreements before the finalization of the plan There are, however, some dangers in undertaking a SWOT analysis. The other fundamental concerns about the intrinsic nature of SWOT analysis: (Journal: Product Recall) The length of the lists. No requirement to prioritize or weight the factors identified. Unclear and ambiguous words and phrases. No resolution of conflicts (as with the example given in the preceding paragraph). No obligation to verify statements and opinions with data or analyses. Single level of analysis is all that is required. No logical link with an implementation phase. There is therefore a lack of rigor in SWOT because there is no inherent requirement to overcome any of these weaknesses. BMC SWOT Analysis The analysis identifies issues relating to BMC’s core IT operations management (ITOM) software offerings. SWOT analysis only those characteristics that have the greatest potential impact on BMC’s market position and strategy in the worldwide ITOM software marketplace. This document does not cover political, economic, social and technological characteristics, which are seen as universal factors affecting all players in the industry. Gartner elected to review BMC for this SWOT analysis based on several factors, such as the following: BMC is among the top four largest companies globally ranked in Gartner’s ITOM market share analysis. BMC holds a global leadership position in the IT service desk software market. In the database management system (DBMS) management and asset management software markets, BMC is the largest vendor globally. In the job scheduling and run book automation market, a sub-segment of the ITOM market, BMC is among the largest players. BMC is rated a Leader in “Magic Quadrant for the IT Service Desk,” “Magic Quadrant for Job Scheduling” and “Magic Quadrant for IT Event Correlation and Analysis,” The competitive attributes discussed in this SWOT analysis pertain to BMC globally. We are listing only those characteristics that have the greatest potential impact on BMC’s market position and strategy in the worldwide ITOM market. There are additional Gartner reports (for example, Magic Quadrants, MarketScopes and Competitive Landscapes) that provide analysis in other key areas or service competencies, which are addressed only broadly in this document. Gartner (2010). The author makes note that a task of analysing an organisation’s external and internal environment by which using a SWOT analysis technique can assist in the appropriate strategy to be selected and as a result is a basis for action. Two important components that assist in the strategic management process that are highlighted by the author, external analysis and internal analysis combined constitute was has come to be called the SWOT analysis. Arguably, the text provides very limited information based on SWOT analysis, its inner workings, benefits and purpose. The author is considerably generous to outline the external and internal analysis in detail and how it interacts with Porters five forces model. Conclusion A SWOT (strengths, weaknesses, opportunities and threats) analysis (Johnson and Scholes, 2002) summarises the key issues from the business environment and the strategic capability of an organisation that are most likely to impact on strategy development. The aim is to identify the extent to which the current weaknesses are relevant to, and capable of, dealing with the changes taking place in the business environment. It can also be used to assess whether there are opportunities to exploit further the unique resources or core competences of the organisation. The major advantage is that the formulation of strategies is directly connected to the SWOT analysis, providing a rational reproducible result. Swot analysis of measuring strategic management