Entrepreneurship and Business Creation Essay Example | Topics and Well Written Essays - 1000 words

Entrepreneurship and Business Creation - Essay Example Business models are the details that a company uses to work on its product and operations. The segments that compose of the business model focus on all aspects of the business which even go into the depth of the financial activities and managing operations. (Tatum). When working on developing a business model, six major components are mostly the key instruments to the development. The value proposition is a description of the customers’ problem and how the product addresses that problem. It bases itself on the value that customers’ perceive out of it. Market segment is the group of customers that the company has to target. Adding an innovative edge in the product is what builds on to make the product a potential hit in another segment of the market. The value chain structure also needs to be considered as an important part on how the firm will capture a section of its value. The financial activities are an important segment as well along with understanding the position that the competition has. The last segment that a business model focuses on is building a competitive strategy which will have its core focus on the competitive advantage. (The Business Model). ... nufacturing facilities, the defining production process and allowing for the labor to produce the products all sum up the parts of the business model. (Tatum). The business model also needs to pay emphasis to the external factors. An identification of the target market influences the effort that the firm focuses on its marketing and sales efforts of the company; these too need to be strategically managed so that the cost of production of an individual product does that increase too much. Basing the operations of the firm on this model helps them maintain a focus on their core mission and objective. (Tatum). Proper evolution of the business model after experience shows that the company has gained experience is implementing it into the operations. In simple words, the business model describes a rationale of how an organization decides to create, deliver and capture and maintain its value. (Osterwalder). 2. As An Entrepreneur, What Do You Understand By The Seven Domains Model? Please Ex plain How You Will Apply The Seven Domains When Evaluating A Viable Business Opportunity? The seven domains model are discussed and acted upon everyday by entrepreneurs and managers unconsciously. These domains are all connected to each other and every domain makes the other even more valuable. Frequently, the understanding of these domains revolves around the human resource section of a company and how they implement them. The seven domains model mainly composes of understanding the information available and how to improve on it. (Corporation). Seven domains model can be used in all aspects of businesses and designs. They involve synergy between all the resources so that the project completion objectives are not compromised. What the seven domains tend to seek together what they generally

Design And Analysis Of Algorithms For Obtaining Super Resolution Essay

Design And Analysis Of Algorithms For Obtaining Super Resolution Satellite Images - Essay Example The paper tells that the launching of satellites nowadays, experience transformations due to the increasing need for High Resolution images. History shows that once satellites are launched, updating of its captured images faces a challenge due to resolution problems. Some algorithms have been developed, which assist in transforming Low Resolution images to High Resolution images. High Resolution (HR) images have a wide range of usage in the various fields, for example, medical imaging, video surveillance, and satellite imaging. However, due to limitations of hardware, many Low Resolution (LR) images are obtained than High Resolution images. As a result, researchers have come up with new techniques that help them in obtaining HR images from LR images. Researchers have come up with a reconstruction technique known as Super-resolution (SR) technique. The technique solves the problem of developing HR images from LR images since it allows the recovery of high resolution images from low re solution images. The technique allows recovery of HR images from several LR images, which are blurred, noisy and down-sampled. The SR technique uses some algorithms in order to solve the resolution problem. These algorithms use LR images that are related to each other’s through random translations and rotations in order to create a single HR image of the original scene. In order to reconstruct the HR image, the LR images must be first registered relative to a specific frame of reference. Secondly, the pixels from the LR images are used to sparsely populate some of the pixels of the high resolution image. ... This may include the implementation of set of super resolution algorithms and comparing their performances. Although there is the quest of obtaining high resolution images, there are some challenges that go hand in hand with the high resolution. In acquiring high resolution imaging systems, one runs into the problem of diminishing returns. The optical components and imaging chips necessary for high resolution imaging are very expensive since they cost millions of dollars. Potential Benefits High image resolution is beneficial since there is an increase in image detail. In addition, image resolution results in images that do not contain noise or with reduced noise and images with increased smoothness in interlaced video. Chapter Two Fundamentals of Image Processing Introduction and definition Image processing refers to any kind of signal processing, where the input is an image, for instance, a video frame or a photograph and the resulting output of the image may be either an image or a set of parameters or characteristics that are related to the image. In most image processing techniques, the image is treated as a two-dimensional signal. The image processing techniques usually apply standard signal processing techniques to the image being processed. During image processing, various operations may be carried out on the image; such operations include Euclidean geometrical transformations that may take the form of reduction, rotation and enlargement, color corrections that may involve color balancing, color mapping, quantization and contrast adjustment (Burge & Burge, 2009). Image processing operations may also include interpolation, image registration, and image segmentation.