Purposes of police patrol Research Paper Example | Topics and Well Written Essays - 500 words

Purposes of police patrol - Research Paper Example Purposes of police patrol Knowledge about the neighbourhood is the essence of every police patrolling function. â€Å" Knowledge about the physical structure of the neighbourhood, Boundaries and adjoining areas, Alleys, Businesses, Layout of streets, dead end streets, geographical directions† etc would enhance the patrolling functions very much. â€Å"Foot Patrol, Motorcycle Patrol, Motorized Patrol, Bike Patrol, Horse Patrol, Aircraft Patrol, Watercraft Patrol, Routine Patrol, Directed Patrol, D-Runs, Saturation Patrol, Split Force, Suspect-Oriented Patrol† etc are some of the most common patrolling programs undertaken by police force. Increased probability of accidents is the major issue in high speed pursuits. â€Å"Research from the 1980s indicates that nationwide property damage occurs in about one of every five pursuits, personal injury in one out of seven, and death in approximately one out of every thirty-five pursuits†. Moreover increased rate of law suits against the patrolling officers is another issue associated with high speed pursuits. It should be noted that in high speed pursuits, the possibility of causing damages to the innocent people is more. Casualties in the form of death and injury can occur to the innocent people while the police officers chase criminals at a high speed using different types of vehicles. â€Å"California police chased more than 7,000 drivers in 2003. The chases resulted in 58 deaths, including 18 innocent individuals who werent involved in the pursuit".

Analysis and Opinion on June 2010 UK Budget Report Essay

Analysis and Opinion on June 2010 UK Budget Report - Essay Example Tariffs, taxes and rates indicated in the Budget also do have an impact on the trade policy and the volume and type of import and export transactions that take place in the light of budgetary restrictions or allowances. In the long run these will impact the UK’s balance of trade and balance of payments on current and capital account vis-a-vis its trading partners. Macroeconomic Objectives of the June 2010 Budget A review of the June 2010 Budget document as unveiled by the Chancellor of the Exchequer on 22 June 2010 indicates that two main macroeconomic objectives are to (a) rebalance the UK economy and (b) put it on the path toward sustained economic growth (Budget Document, p1). In order to achieve these twin goals, the Government has determined that action needs to be taken in three areas: (1) deficit reduction, (2) creation of business opportunities for private enterprise and (3) ensuring in fairness that all sectors contribute to deficit reduction. The Government has even created an Office of Budgetary Responsibility (OBR) and this institution has been entrusted with the task of reviewing the policy measures taken by the Government and their execution from time to time to ensure that these steps will reduce the deficit and contribute towards sustained economic growth in the future. The OBR in its review of the June 2010 Budget document has already opined that there is a more than 50 percent chance that these measures will achieve the Government’s planned macroeconomic objectives of reducing the deficit, meeting fiscal and debt policy objectives and thereby kick-starting the economy towards sustained economic growth. Macroeconomic Problems Highlighted in the... This essay is one of the best examples of the comprehensive analysis of the state of Budget fulfilment on a certain date in the United Kingdom. The Budget Report attached with the June 2010 Budget document very succinctly highlights the state of the UK economy. The new coalition Government led jointly by Nick Clegg and David Cameron promised to usher in a new era of prosperity and recovery, and at least be truthful to the public in order that its integrity never have to be questioned. The first step was to take stock of reality and let the public know how good or bad things were. Once this was established, new austerity measures were soon on the anvil to mend the state of the economy and bring the UK to a better path on the road to recovery. While everyone acknowledges that we are still not out of the woods yet, there has been some recovery in key sectors like banking, insurance and retail sales- which shows consumer confidence in the present Government and its ideals and vision for the future. The Budget is a key instrument for controlling the incomes and expenditures in the economy. The fiscal and monetary policy are other tools and instruments by which the Government and the Treasury hope to control the rate of interest, lending and borrowing and spending and saving. Care must be taken to keep the British Pound and the Euro at a good rate of exchange on the open market, while reducing signs of inflation or deflation at home. The Government is serious about promoting private business expansion through various actions.

Essay Example for Free

Essay Increase in Quality of Care Until the second part of the last century, all medical records were on paper. This system worked fine in an age of family doctors making house calls and patients never travelling far from their local hospital. Our modern society has changed and our healthcare record management has changed as well. Computerized record management (CRM) and Electronic Medical Records (EMR) are poised to increase the quality of healthcare. According to the US Department of Health and Human Services, there are numerous ways that CRM’s are improving quality of patient care. Their web site lists problems with paper records. These include, illegible handwriting, multiple healthcare providers for one patient not communicating, and increased amounts of medical and new drug information. â€Å"Patients with chronic diseases such as diabetes or congestive heart failure often have to monitor their blood glucose level, weight, blood pressure, and medication regimens in their homes† (AHRQ, 2012). CMR will allow health care providers to track any abnormal values recorded from patient’s home, eliminating the need to wait until the next appointment which may be a month away. With CMR, patients will be able to go to different specialists who can all plug in to the same medical record. Also, the medical record will follow the patient if he is travelling and needs to receive care far from his primary care provider. The switch to computer records will eliminate time trying to decipher a physician’s handwriting. EMR’s will also be updated continuously with updated medical and drug information. This resource will allow the healthcare provider to keep up to date on all the latest research which will increase quality of care as well. Another aspect of increased quality of care is the patient id band being linked to the electronic record. â€Å"The system of linking hospital ID bracelets to patients EHRs has curbed medication errors†. Active Nursing Involvement While developing and implementing a CMR, it is very important to get input and direction from professional nurses. Nurses are a critical element in the management of health care records. They are the ones charting, administering drugs, identifying patients, and writing plans of care. According to the Hospital and Health Networks website, anyone who is uilding a CRM system, needs â€Å"to spend time on the nursing units and see how nurses work† (hhnmag. com, 2012). Nurses are the professionals who care for patients. The input they can offer will be useful since they are the ones using the system. Nurses have firsthand knowledge about what really works on the floor and will simplify their jobs while increasing quality of care for the patient. Th e first step will be for the nurse to give input into exactly what they would use in an EMR. Then, nurses could guide the developers in the actual flow of their duties and charting. Without involvement of nurses, programmers may include items not used by nurses or put charts out of logical order for the nursing process. Handheld Devices The current trend in computerized healthcare management is handheld devices or PDAs. â€Å"The functionality provided by PDAs has expanded exponentially from simple personal organizer to include healthcare databases and applications that check for drug interactions, aid in IV calculations, analyze lab results, provide charge capture information, scheduling functions, prescription refilling and other practice management tasks† (Online Journal of Nursing Informatics, 2001). Using a handheld device, nurses are able to keep current on research, standards of care, and drugs. The nurse will be able to access patient records from the bedside, drug room, or during change of shift report. A PDA will cut down on the spread of germs since each nurse carries her own device instead of sharing a computer keyboard with the entire hospital staff. The handheld device will be able to offer real time updates if there is a change in a patients status, perhaps to â€Å"transmit telemetry waveforms from monitors at the nurses station directly to the bedside nurse† (OJNI, 2012). At change of shift, a nurse can handoff to the next nurse syncing the two handheld devices improving continuity of care and assuring that tasks are not inadvertently left off. Security Standards The Health Insurance Portability and Accountability Act (HIPPA) is federal law in place to protect a patient’s privacy. Any computerized medical records must be in compliance with HIPPA as well as protect the computer records from being breeched in anyway. How to keep medical records safe and away from non-authorized eyes is a major concern for healthcare providers. The technical part of security includes firewalls, protected servers, ncryption, and secure networks. Storage and back up of all information will be integral in protecting the electronic medical records. At Epic Systems, â€Å"’we have all sorts of firewalls and security systems in effect to prevent data breaches,’ Ms. Faulkner says. On laptops used by doctors, files can be viewed but not stored. The same is true for smartphones and tablets. We do not store patient data on them, she says, so it cannot be misused if these devices are stolen† (Freudenheim, M, 2012). Hospitals also need role based access. This will â€Å"limit access to a patient’s record to only those individuals who need the information for treatment. Audit trails can automatically record who viewed the health record and can be used after the fact to identify any unauthorized access, leading to improvements in training or, if warranted, corrective action (HHS. org, 2012). As with paper charting, nurses will need to carefully guard who has access to the patient’s chart and who is allowed to view it. Computer monitors need to go blank when not in use to prevent unauthorized viewing of patient records. Cost The savings to health care systems is not only in time, convenience and increased patient safety; CMRs can also save hospitals money. The Department of Health and Human Services published a white paper outlining cost benefits of transitioning to electronic records. â€Å"The all cost-benefit analyses predicted substantial savings from EHR (and health care information exchange and interoperability) implementation. The quantifiable benefits are projected to outweigh the investment costs. However, the predicted time needed to break even varied from three to as many as 13 years† (AHRQ, 2006). The cost to implement electronic medical records vary tremendously. PracticeFusion is a company that offers an on line free EMR program. This company offers â€Å"a comprehensive practice management software platform includes charting, scheduling, billing, e-Prescribing, lab integrations and secure messaging† (PracticeFusion. com). There are no charges to use the technology. If the user prefers to use PracticeFusion without seeing the ads, they can pay a nominal $100 per month fee. On the other end of the cost spectrum, Epic Systems provides electronic medical records for large hospitals like Cedars-Sinai and Kaiser. â€Å"Kaiser estimates it will eventually spend a total of $4 billion on the software and related osts like those for equipment and training employees,† (Freudenheim, M. , 2012). For large, multi-campus hospital systems, the costs are enormous. There are extra costs associated with CMRs. Training time, upkeep, new hardware, and IT employees all go in to the continuing ? Benefits to Care The benefits of electronic medical records to the patient can be many. Patient safety can be increased, health care providers receive the absolute most current research and evidence based best practices, and timeliness of care can go up as well. Communication between members of the health care team is improved. Medication errors decrease. Time savings from transcription to reading illegible handwriting leads to more time the nurse is able to spend caring for the patient. Even the US government wants to support CRMs. â€Å"The federal government is contributing to the recent growth of Epic and similar firms by offering financial incentives to health providers who switch to electronic records. It sees these records as a way to improve patient care and reduce inappropriate costs like those for duplicated tests,† (Freudenheim, M. , 2012). Recommendation The two providers I looked at are PracticeFusion and Epic Systems. Comparing these two companies is a little like comparing apples to oranges. Epic has been in business developing electronic medical record systems since 1979 and has an excellent reputation in the industry. Epic claims to have the medical records of 127 million patients and is used by 250,000 doctors. In an industry where cross platform communication can be difficult to say the least, it is reassuring to go with a company that has such widespread market share. Epic is relatively easy to learn and use. It is the system I learned while working at Cedars-Sinai in Los Angeles and the system I recommend. PracticeFusion is not in the same league as Epic Systems. It may be a good choice for a small, detached practice to use for internal EMRs ? Justification The cost of using Epic Systems for medical records can be prohibitive. Once the decision to go electronic has been made, Epic works closely with the staff at the hospital to design a user friendly, safe, and effective program. The government is supporting the transition to EMRs. Other hospitals have made the move, private practices are involved. Quality of patient care can be increased and that is really the best reason to make the change.

Design of Face Recognition Image Processor

Design of Face Recognition Image Processor Abstract This project deals with the design and implementation of an image processing system for Face recognition using MATLAB. Image treatment is a complex task so, we must study all the background information that image formation and processing requires, and learn the main MATLAB functions which will have to be used. The purpose for this study is to investigate a software application that can show how an image is processed in computer platform. The processing will be done in comparing the sketch image with the real picture to matrix model by using MATLAB program. Picture will be shown when program is running successfully. Real image or picture will be resulted from the matrix using the function in the MATLAB. We can use various functions such as filter or rotate depending on the user itself. In this study, the picture or real image used is from Internet that has referenced properly, scanner and etc. Basic mathematical calculation does not apply in this project as it only used MATLAB program. The significant of this project is to educated user and for us to learn how to process images by MATLAB to learn how the image can be changes after the function indicated by the program. Introduction: Our project is about to know how we can employ image processing application by using MATLAB functions. By the help of image processing Toolbox of MATLAB we were able to modify/write a program with GUI to read images, process them, blur them, and then recognize them as versions of the same images that exist in an image database; lastly we were able to display the original and blurred images. Image processing is the field of signal processing where both the input and output signals are images. Images can be thought of as two-dimensional signals via a matrix representation, and image processing can be understood as applying standard one-dimensional signal processing techniques to two-dimensional signals. Image processing is a very important subject, and finds applications in such fields as photography, satellite imaging, medical imaging, and image compression, just to name a few. In the past, image processing was largely done using analog devices. However, as computers have become more powerful, processing shifted toward the digital domain. Like one-dimensional digital signal processing, digital image processing overcomes traditional analog problems such as noise, distortion during processing, inflexibility of system to change, and difficulty of implementation. The image processing technique we will be implementing will be image blurring even there are many image processing techniques we have by using MATLAB to output the image as a matrix and store it in the data memory. In todays world, digital technology is ever growing, and the development of digitally based products is rising. Various industries such as audio, video, and cellular industry rely heavily on this digital technology. A great part of this deals with digital signal processing. This aspect in engineering has gained increasing interest, especially with much of the world now turning to wireless technology and its applications to keep businesses and industries connected. The world of digital technology is certainly one that will be present for many years to come. [Ref: 4] Project outline: This report consists four chapters. In first chapter, it discuss about the objective and scope of this project as long as summary of works. While Chapter 2 will discuss more on theory and literature reviews that have been done. In Chapter 3, the discussion will be on the methodology hardware and software implementation of this project. The result and discussion will be presented in Chapter 4. Last but not least, Chapter 5 discusses the conclusion of this project and future work that can be done. Problem Statement: In the image processing program, the info for the function are not stated clearly enough and make people understand. In the GUI (Graphical User Interface) program, the info should function as pop-up window after user press any function button. As the project title is Image Processing using MATLAB Learning Tool, the information is not good enough and clears to understand to be recognized by people. The main problem is the effectiveness of people to recognize it. Basically we have used many techniques through which we tried to simplified the way of face recognition. We have used eigenface technique that is very standarlize way to recognize the face using MATLAB application MATLAB also can be used in industry in the areas of bar coding, deck-top publication, copy preparation for printing and factory automation. However, due to the information and studies this state of program of image processing that I only can create. More advance and more functional program can be creating by using MATLAB. Thereby, to write the program became problem and this project not perfectly complete. The problem which comes to set a task to recreate the convolution function for applying filters in image processing. It is very difficult to manage and get the code working. It is also not easy to write our own m-function for unsharp masking of a given image to produce a new output image. During the project development we found following difficulties Apply smoothing to produce a blurred version of the original image, subtract the blurred image from the original image to produce an edge image. Add the edge image to the original image to produce a sharpened image. When carrying out the convolution image is cropped down by some pixel, this means when we go to carry out the subtraction for the unsharpening the images are not the same size and the subtraction cannot take place. To overcome this problems we created a blank matrix in the convolution function that is the same size as the image being inputted, the new image will then go on top of this matrix so in affect the new image has a 1 pixel border around it to make it to its original size. It is very interesting and challenging to come out from these above mentioned problems and for that we have done. Solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images. Although algorithm development typically is based on theoretical underpinnings, the actual implementation of these algorithms almost always requires parameter estimation and, frequently, algorithm revision and comparison of solutions. Because it works in the MATLAB computing environment, the Image Processing Toolbox offers some significant advantages Key components of our approach We have used Eigen Vector method [Ref 12] that is a set of eigenfaces can be generated by performing a mathematical process called principal component analysis (PCA) on a large set of images depicting different human faces. Informally, eigenfaces can be considered a set of standardized face ingredients, derived from statistical analysis of many pictures of faces. Any human face can be considered to be a combination of these standard faces. For example, ones face might be composed of the average face plus 10% from eigenface 1, 55% from eigenface 2, and even -3% from eigenface 3. Remarkably, it does not take many eigenfaces combined together to achieve a fair approximation of most faces. Also, because a persons face is not recorded by a digital photograph, but instead as just a list of values (one value for each eigenface in the database used), much less space is taken for each persons face. Apart from these our project methodology includes the following: Use MATLAB to simulate the processing technique. Carefully locating the memory blocks where we will store our original and output image. Comparing our results in MATLAB. Basically the eigenvectors of a square matrix are the non-zero vectors that, after being multiplied by the matrix, remain proportional to the original vector (i.e., change only in magnitude, not in direction). For each eigenvector, the corresponding eigenvalue is the factor by which the eigenvector changes when multiplied by the matrix. The eigenvectors are sometimes also called proper vectors, or characteristic vectors. Similarly, the eigenvalues are also known as proper values, or characteristic values. The mathematical expression of this idea is as follows: if A is a square matrix, a non-zero vector v is an eigenvector of A if there is a scalar ÃŽ » (lambda) such that The scalar ÃŽ » is said to be the eigenvalue of A corresponding to v. An eigenspace of A is the set of all eigenvectors with the same eigenvalue together with the zero vectors. However, the zero vector is not an eigenvector. any problems present themselves in terms of an eigenvalue problem: A ·v=ÃŽ »Ã‚ ·v In this equationAis an n-by-n matrix,vis a non-zero n-by-1 vector and ÃŽ » is a scalar (which may be either real or complex). Any value of ÃŽ » for which this equation has a solution is known as an eigenvalue of the matrixA. It is sometimes also called the characteristic value. The vector,v, which corresponds to this value is called an eigenvector. The eigenvalue problem can be rewritten as A ·v-ÃŽ »Ã‚ ·v=0 A ·v-ÃŽ »Ã‚ ·I ·v=0 (A-ÃŽ »Ã‚ ·I ·v)=0 If v is non-zero, this equation will only have a solution if |A-ÃŽ »Ã‚ ·I|=0 This equation is called the characteristic equation ofA, and is an nthorder polynomial in ÃŽ » with n roots. These roots are called the eigenvalues ofA. We will only deal with the case of n distinct roots, though they may be repeated. For each eigenvalue there will be an eigenvector for which the eigenvalue equation is true. This is most easily demonstrated by example Example: Find Eigenvalues and Eigenvectors of a 22 Matrix If then the characteristic equation is and the two eigenvalues are ÃŽ »1=-1, ÃŽ »2=-2 All thats left is to find the two eigenvectors. Lets find the eigenvector,v1, associated with the eigenvector, ÃŽ »1=-1, first. so clearly from the top row of the equations we get Note that if we took the second row we would get In either case we find that the first eigenvector is any 2 element column vector in which the two elements have equal magnitude and opposite sign. Where k1is an arbitrary constant. We didnt have to use +1 and -1, we could have used any two quantities of equal magnitude and opposite sign. Going through the same procedure for the second eigenvalue: Again, the choice of +1 and -2 for the eigenvector was arbitrary; only their ratio is important. Scope of Project The scope of our project includes the following: Study and understand the image processing in varies method, mainly in MATLAB. Create a GUI (Graphical User Interface) MATLAB program with several functions. This requires identifying the steps which must be done to obtain some results. Further this project, the main areas considered are: Study about MATLAB, and its main functions to obtain and process images. Write or modify a program which can be used to acquire and treat images. Some information about the image file and its characteristics to understand the information it contains. Objective of the Project The objective of this project is actually to educate us and new comers to basic and fundamental technique in image processing through integrated image processing software. All fundamental algorithms of image processing will be exposed through this package [Ref] the program is in appendix -B. This package will also provided easy-to-learn mechanisms turn user-friendly and graphic-orientation environment. These operations include preprocessing, spatial filtering, image enhancement, feature detection, image compression and image restoration involves process which restores a degraded image to something close to the ideal. Generally, in computer vision, especially in MATLAB program (image understanding or scene analysis) involves technique from image processing, pattern recognition and artificial intelligent. Particularly, MATLAB program offers many features and are more multifaceted then any calculator. MATLAB toolbox is a tool for making mathematical calculations. Literature review (Related Work to our Project) Image processing is any form of signal processing for which the input is an image, such as photographs; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing converting the image to another form by using direction in MATLAB/Toolboxes/Image Processing tables for example is image input/output, color operation, image enhancement/ analysis and another method. Image processing and computer vision practitioners tend concentrate on a particular area of specialization. People refer to their research interests as â€Å"texture†, â€Å"surface mapping†, â€Å"video tracking†, and the like. Nevertheless, there is a strong need to appreciate the spectrum and hierarchy of processing levels. Image processing is the manipulation of the image by using a computer, with the objective to enhance or evaluate some aspect of an image which is not readily apparent in its original form. This is done through the development and implementation of processing means necessary to operate on the image. Processing image using a digital computer provides the greatest flexibility and power for general image processing application, since the programming of a computer can be changed easily which allows operation to be modified quickly. Interest in image processing technique dates back to early 1920s when digitized pictures of world news events were first transmitted by submarine cable between Newyork and London. However, application of digital image processing concepts did not become widespread until the middle 1960s, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth and has been subjected of study and research in such fields as engineering, computer science, statistics, information science, physics, chemistry and medicine. The result of these efforts have established the value of image processing technique in of problem with application in diverse fields, including automated factory controlled, astronomy, meteorology, agriculture, medicine, art and military application. With the increasing availability of reasonably inexpensive hardware and some very importance application on the horizon, image technology is expected to continue its growth and to play an important role in the future. From the MATLAB software we have the Toolbox for image processing and Professional MATLAB. MATLAB is the interactive environment, scientists and engineers are able to analyze and develop algorithms with exceptional improvements n productivity and creativity. As a result of new algorithms with application-specific uses. The MathWorks offers a series of application toolboxes that contain set of MATLAB ofr the Linear algebra, high-speed computational kernel, extensive mathematical functionality, data analysis, 2-D and 3-D graphic rapid algorithm development, matrix based programming environment. In MATLAB Toolboxes professional version but priced at a lower rate for academic use. [Ref: 4] About Image Processing Tools of Matlab This set of Matlab tools consists of some functions that I have found useful for basic image processing and image analysis. When working with binary objects (4-connected foreground regions), we have often found it useful to measure features from the boundary stored as a list of coordinates. In other words, sometimes it is better to work with a polygon defining the foreground-background boundary than to work with a black and white image of the object. The boundary of an object in a binary (black and white) image can be stored as a list of pixel corner coordinates. The functiongetboundarymex [Ref 7] forms a list of these corner coordinates from a binary image containing an object. The toolbox containsselectobjectmexfor selecting regions by size. The commandimOut=selectobjectmex(imIn,n)will return an image,imOut, containing only thenth largest object (in terms of number of pixels) of the original imageimIn. This function is particularly useful if one wants to quickly threshold an image and then select the largest object without having to worry about smaller objects that are not of interest, e.g.imOut=selectobjectmex(im>0.5,1). [Ref:9] Also included is code for watershed segmentation by flooding from selected sources, fast calculation of object centroids etc. The usage of each the function is described by typinghelpfunctionat the MATLAB command prompt, wherefunctionis the name of the relevant function. The M-file scriptkftools shows an example of the usage of all of the functions in this toolbox . THEORY: There are various ways of implementing the image blurring technique: Linear blur horizontal or vertical averaging of a fixed number of pixels. Block blur averaging a small block of pixels by propagating a fixed sized window through the entire image. Gaussian blur convolution of the image with a two-dimensional Gaussian function. Linear blur: This is the simplest image blurring technique. It is done by taking the N-point average of a linear block of pixels (either horizontally or vertically). In our implementation, N will be 8, and we will be using the horizontal blur. An 1Ãâ€"N-pixel window is placed at the top left of the image, and the average of the window is stored in the N/2th pixel of the window (in a new image to prevent overwriting). The window is then shifted across the row and the process is repeated. Once the window reaches the end of the row, it is moved to the next row and the process repeats itself. [Ref:11] The advantage of this method is that it is the simplest of the three. However, it also gives the poorest blurring quality. This is because by taking the horizontal average of each row, there will be averaging â€Å"lines† in the output image. Also, parts of the picture where the detail does not span enough horizontal pixels will be lost after blurring. Finally, by the way this algorithm is designed, there will be an outer frame of the output image identical to the input image (i.e. the outer part of the image remains not blurred). [Ref:11] Block blur: This method is analogous to the linear blur, except that our window is now an NÃâ€"N-pixel window. The procedure is the same as the linear blur, with the averaged pixel stored in the (N/2, N/2) position of the window. See block_blur.m for the MATLAB implementation of this algorithm. This method improves upon the quality of the linear blur in that averaging â€Å"lines† are no longer visible in the output image. It also helps to retain details that span small horizontal distances in the original image better. However, it still does not overcome the problem of an outer frame in the output image that remains not blurred. [Ref:11] Gaussian blur: This is the best implementation of the image blurring technique, and is used in such commercial software as Adobe Photoshop. Unfortunately, it is also the most complex. It works by performing a two-dimensional convolution on the input image with a normalized two-dimensional MÃâ€"M-pixel Gaussian function. Intuitively, each pixel of the output image is actually a Gaussian function centred at each point of the input image. Hence, the convolution will increase the size of the output image to N+M-1, so that after convolution we must crop the image to reduce it to its proper size. This method is the best of the three. It has no averaging â€Å"lines† present, and it also blurs the entire image. Image Processing Toolbox (give reference to the Toolbox) Image Processing Toolbox provide us a comprehensive set of reference standard algorithms and graphical tools for image processing, analysis, visualization, and algorithm development. We can perform image enhancement, image deblurring, feature detection, noise reduction, image segmentation, spatial transformations, and image registration. Image Processing Toolbox supports a diverse set of image types, including high dynamic range, gigapixel resolution, ICC-compliant color, and tomographic images. Graphical tools let we explore an image, examine a region of pixels, adjust the contrast, create contours or histograms, and manipulate regions of interest (ROIs). With the toolbox algorithms we can restore degraded images, detect and measure features, analyze shapes and textures, and adjust the color balance of images. Key Features Image enhancement, filtering, and deblurring Image analysis, including segmentation, morphology, feature extraction, and measurement Spatial transformations and image registration Image transforms, including FFT, DCT, Radon, and fan-beam projection Workflows for processing, displaying, and navigating arbitrarily large images Modular interactive tools, including ROI selections, histograms, and distance measurements ICC color management Multidimensional image processing Image-sequence and video display DICOM import and export We have collected many image processing function which can make our project easy to execute , some of these function we used are as follows. Image Display and Exploration Immovie: Make movie from multiframe image Implay: Play movies, videos, or image sequences Imshow: Display image Imtool: Image Tool Montage: Display multiple image frames as rectangular montage Subimage: Display multiple images in single figure Warp: Display image as texture-mapped surface Image File I/O analyze75info: Read metadata from header file of Analyze 7.5 data set analyze75read: Read image data from image file of Analyze 7.5 data set Dicomanon: Anonymize DICOM file Dicomdict: Get or set active DICOM data dictionary Dicominfo: Read metadata from DICOM message Dicomlookup: Find attribute in DICOM data dictionary dicomread: Read DICOM image Dicomuid: Generate DICOM unique identifier Dicomwrite: Write images as DICOM files Hdrread: Read high dynamic range (HDR) image Hdrwrite: Write Radiance high dynamic range (HDR) image file Interfileinfo: Read metadata from Interfile file Interfileread: Read images in Interfile format Isrset: Check if file is R-Set Makehdr: Create high dynamic range image Nitfinfo: Read metadata from National Imagery Transmission Format (NITF) file Nitfread: Read image from NITF file Openrset: Open R-Set file Rsetwrite: Create reduced resolution data set from image file Image Types and Type Conversions Demosaic: Convert Bayer pattern encoded image to truecolor image gray2ind: Convert grayscale or binary image to indexed image Grayslice: Convert grayscale image to indexed image using multilevel thresholding Graythresh: Global image threshold using Otsus method im2bw: Convert image to binary image, based on threshold im2double: Convert image to double precision im2int16: Convert image to 16-bit signed integers im2java2d: Convert image to Java buffered image im2single: Convert image to single precision im2uint16: Convert image to 16-bit unsigned integers im2uint8: Convert image to 8-bit unsigned integers ind2gray: Convert indexed image to grayscale image ind2rgb: Convert indexed image to RGB image label2rgb: Convert label matrix into RGB image mat2gray: Convert matrix to grayscale image rgb2gray: Convert RGB image or colormap to grayscale We both studied the function properly and found few of them are very important for us to understand deeply. In order to segregate the most important function we select some of from them. System description: This project will use the MATLAB software package to develop algorithms which can automatically analyze these images for potential comets. MATLAB is a high-level programming environment very popular with scientists and engineers because of its powerful toolboxes and easy to use scripting language. Basic algorithms from the image processing toolbox will be utilized to find comets using the following general steps: Load original images into MATLAB Process images to isolate all bright spots and eliminate glare due to solar ejections Compare spots in subsequent images to find potential comet trajectories Analyze trajectories to ensure they meet known characteristics Highlight possible comets in original images and create output image Basically, MATLAB software has many functions/commands to apply in image processing. How to manipulate the program depending to us but must be practically know what item is MATLAB program will be used. Creativity in MATLAB can make the interesting result. Even, the complex data can be solved in MATLAB. Especially when the data involved is very complex. Here, we can create some image from converting data by using the some program in MATLAB, which just applied all procedure in the MATLAB program. MATLAB toolbox is a tool for making mathematical calculations. Image processing toolbox is user friendly programming language with feature more advanced. In the program also used the GUI (Graphical User Interface, move this definition to the first place where we used GUI) to create develop the program. Techniques and algorithm: Image and MATLAB involves the conversion of scene into a digital representation that can be processed by a digital computer. This can be performed by a sensor system specially designed to view a image and provide a digital representation of the image. When the images are installed in MATLAB, my picture for example, the color of that image is first analyzed. In the process include several functions of image processing technique. Processed Image is the image display after the process. GUI (Graphical User Interface) A graphical user interface (GUI) is a graphical display in one or more windows containing controls, called components that enable a user to perform interactive tasks. The user of the GUI does not have to create a script or type commands at the command line to accomplish the tasks. Unlike coding programs to accomplish tasks, the user of a GUI need not understand the details of how the tasks are performed. GUI components can include menus, toolbars, push buttons, radio buttons, list boxes, and sliders just to name a few. GUIs created using MATLAB tools can also perform any type of computation, read and write data files, communicate with other GUIs, and display data as tables or as plots Most GUIs wait for their user to manipulate a control, and then respond to each action in turn. Each control, and the GUI itself, has one or more user-written routines (executable MATLAB code) known as callbacks, named for the fact that they call back to MATLAB to ask it to do things. The execution of each callback is triggered by a particular user action such as pressing a screen button, clicking a mouse button, selecting a menu item, typing a string or a numeric value, or passing the cursor over a component. The GUI then responds to these events. We, as the creator of the GUI, provide callbacks which define what the components do to handle events. This kind of programming is often referred to as event-driven programming. In the example, a button click is one such event. In e vent-driven programming, callback execution is asynchronous, that is, it is triggered by events external to the software. In the case of MATLAB GUIs, most events are user interactions with the GUI, but the GUI can respond to other kinds of events as well, for example, the creation of a file or connecting a device to the computer. We can code callbacks in two distinct ways: As MATLAB functions, written in M and stored in M-files As strings containing MATLAB expressions or commands (such as c = sqrt(a*a + b*b);or print) Using functions stored in M-files as callbacks is preferable to using strings, as functions have access to arguments and are more powerful and flexible. MATLAB scripts (sequences of statements stored in M-files that do not define functions) cannot b e used as callbacks. Although we can provide a callback with certain data and make it do anything we want, we cannot control when callbacks will execute. That is, when wer GUI is being used, we have no control over the sequence of events that trigger particular callbacks or what other callbacks might still be running at those times. This distinguishes event-driven programming from

Comparing Themes in Cat’s Cradle and Slaughterhouse Five Essay

Comparing Themes in Cat’s Cradle and Slaughterhouse Five  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Throughout his career, Kurt Vonnegut has used writing as a tool to convey penetrating messages and ominous warnings about our society. He skillfully combines vivid imagery with a distinctly satirical and anecdotal style to explore complex issues such as religion and war. Two of his most well known, and most gripping, novels that embody this subtle talent are Cat's Cradle and Slaughterhouse-Five. Both books represent Vonnegut’s genius for manipulating fiction to reveal glaring, disturbing and occasionally redemptive truths about human nature. On the surface, Cat’s Cradle and Slaughterhouse-Five are dramatically different novels, each with its own characters, symbols, and plot. However, a close examination reveals that both contain common themes and ideas. Examining and comparing the two novels and their presentation of different themes provides a unique insight into both the novels and the author – allowing the reader to gain a fuller understanding of Vonnegutâ₠¬â„¢s true meaning. One of the most prevalent themes in Vonnegut’s works is religion. In the early pages of Cat’s Cradle, Vonnegut submits his contention that "a useful religion can be founded on lies (Vonnegut, Cats Cradle 16)," meaning that, fundamentally, religion is about people, not about faith or God. Reminiscent of Karl Marx’s description of religion as the "opiate of the masses," he describes all religions as mere collections of "harmless untruths" that help people cope with their lives. The Book of Bokonon in Cat's Cradle represents this portrait of religion at both its dreariest and its most uplifting, Bokononism is contradictory, paradoxical, and founded on lies; its followers are aware of this... ...refree tone highlights them by providing irony and contrast. This unparalleled ability to seamlessly combine a light tone with serious theme is what distinguishes Kurt Vonnegut from other writers, Although Cat's Cradle and Slaughterhouse-Five share common themes, the presentation of each of the themes is different in each book. The two novels complement each othe, and comparing both can provide a higher level of understanding for each. Vonnegut never forces his opinions - he makes statements by asking questions, and presents his themes through subtle, but powerful stories, His goal is to get readers to re-examine, not necessarily to change, their lives, morals, and values. Themes such as death, war, and religion are as old as literature itself, yet Vonnegut adds a unique twist to them, inviting the reader to look at these issues from an entirely new perspective.   

Injustice by the Chinese Government :: Politics

Injustice by the Chinese Government The right to a fair trial has been and will continue to be one of the fundamental human rights regardless of geographic location. Fifty years ago the Universal Declaration of Human Rights was adopted by the United Nations in order to establish, for the first time, a worldwide standard for the just treatment of human beings {{16 United Nations}}. Today, this declaration is nearly universally accepted without regard for race, religion or political ideology, reinforcing the ideal that all humans worldwide are deserving of the same human rights and liberties. The declaration purports that â€Å"recognition of the inherent dignity and of the equal and inalienable rights of all members of the human family is the foundation of freedom, justice and peace in the world† {{16 United Nations}}. Tenzin Delek Rinpoche has been denied these fundamental and inalienable rights by the Chinese Government. In April 2002, Tenzin Delek and Lobsang Dondrup, a relative of Delek’s, were arrested in Lithang on charges of bombings and other separatist activities {{1 Action Network}}. In December 2002, both men were convicted of the bombings, without plausible evidence provided against them. Furthermore, both men were denied adequate legal counsel and an open trial. Lobsang Dondrup was sentenced to immediate death and was killed without being allowed to appeal the decision. Tenzin Delek was given a suspended death sentence, and his execution is set for this December {{2 Students for a Free Tibet}}. It appears that Tenzin Delek was arrested and convicted not for supposed criminal action, but the benevolence he displayed in rebuilding schools and monasteries, and his unwavering support of the Dalai Lama. As a member of the United Nations, China is bound to â€Å"the promotion of universal respect for and observance of human rights and fundamental freedoms† {{17 United Nations}} ; which they have clearly disregarded in their prosecution of Tenzin Delek, as well as the execution of Lobsang Dondrup. In articles six through twelve the declaration clearly outlines the judiciary rights of every individual, each of which was violated by the Chinese in the arrest and ensuing prosecution of Tenzin Delek. As explicitly stated by the Universal Declaration of Human Rights, Tenzin Delek Rinpoche has the right to a thorough and just investigation of his involvement in the bombings and separatist activity, which occurred in Chengdu, capital of the Sichuan Province, on April 3, 2002. Injustice by the Chinese Government :: Politics Injustice by the Chinese Government The right to a fair trial has been and will continue to be one of the fundamental human rights regardless of geographic location. Fifty years ago the Universal Declaration of Human Rights was adopted by the United Nations in order to establish, for the first time, a worldwide standard for the just treatment of human beings {{16 United Nations}}. Today, this declaration is nearly universally accepted without regard for race, religion or political ideology, reinforcing the ideal that all humans worldwide are deserving of the same human rights and liberties. The declaration purports that â€Å"recognition of the inherent dignity and of the equal and inalienable rights of all members of the human family is the foundation of freedom, justice and peace in the world† {{16 United Nations}}. Tenzin Delek Rinpoche has been denied these fundamental and inalienable rights by the Chinese Government. In April 2002, Tenzin Delek and Lobsang Dondrup, a relative of Delek’s, were arrested in Lithang on charges of bombings and other separatist activities {{1 Action Network}}. In December 2002, both men were convicted of the bombings, without plausible evidence provided against them. Furthermore, both men were denied adequate legal counsel and an open trial. Lobsang Dondrup was sentenced to immediate death and was killed without being allowed to appeal the decision. Tenzin Delek was given a suspended death sentence, and his execution is set for this December {{2 Students for a Free Tibet}}. It appears that Tenzin Delek was arrested and convicted not for supposed criminal action, but the benevolence he displayed in rebuilding schools and monasteries, and his unwavering support of the Dalai Lama. As a member of the United Nations, China is bound to â€Å"the promotion of universal respect for and observance of human rights and fundamental freedoms† {{17 United Nations}} ; which they have clearly disregarded in their prosecution of Tenzin Delek, as well as the execution of Lobsang Dondrup. In articles six through twelve the declaration clearly outlines the judiciary rights of every individual, each of which was violated by the Chinese in the arrest and ensuing prosecution of Tenzin Delek. As explicitly stated by the Universal Declaration of Human Rights, Tenzin Delek Rinpoche has the right to a thorough and just investigation of his involvement in the bombings and separatist activity, which occurred in Chengdu, capital of the Sichuan Province, on April 3, 2002.

Japan’s Development & History

Those legends that give the history of Japan indicates that, Japan was founded in 600 BC by the emperor called Jimmu. Jimmu is said to be a direct descendant of sun goddess, and also the present ruling ancestor of the imperial family.Japan adopted the Chinese writing system, together with the Buddhism religion. This actually brought in an influence to the Japanese culture. The Japanese indigenous culture is based on the emperor concept, and has Buddhism as the focal point. The culture in the Japan entered in successive waves in the continent.Different concepts in Japan that has resulted back into past, entails all the human activities manifestation from the moment the man first populated the archipelago of Japan.Research has shown that during the Pleistocene period Japan was inhabited. Those who inhibited Japan during those times left behind cultural remains such as chipped stones. The chipped implements of this time are categorized into four groups. The first category consists of th e shale core implements.The shale core implement in some case are defined as hand axes. The second category is the obsidian and flake shale implements. These somehow consist of the upper European Paleolithic industrial flakes. The third categopry comprises of the spearhead. This in most cases is identified with the Solutrean of the Europe. The last group is made by the blade implements. These implements have got their microlithic proportion specimens increasing progressively.The culture of Japan took shape in the period of Yayoi. The present anthropologists argue out that, Japanese are direct descendants of the Jomon people. The Jomon culture in Japan is subdivided into five periods. These periods include the: earliest, early, middle, late and latest phase. The phase of the earliest Jomon was dominated by base pointed connoid potteries.The second phase of Jomon was characterized by the cylindrical potteries of a fibrous temper. The third phase, that is, the middle phase was characte rized by the emergence of the cultural subareas: central, northeastern, and southeastern.The middle phase of culture in Japan came up with multitudes of problems. In the late phase, three distinct subareas are blanketed by pottery that was cord marked that is black or grey, thin walled and well fired. Â  At present most of the cultural practices in Japan are similar to those of china (Shenfield, 1998, pp 55).The relationship that exists between languages is expressed by correspondence in: vocabulary, grammatical structure, as corroborated by the law of phonetic. In Japan, with respect to grammar, it is quite different to Austroasian, Chinese, and Austronesian.However, Japan has some structural similarity in its language with the Altaic group. Japanese and Korean share many grammar points as well as an ancient vowel harmony use. They also share at least two hundred cognates of vocabulary.The linguistics data of Japanese can be traced back to the 3rd century A.D. but came to be more after the 9th century. When compared with the neighboring language the Japanese language is in a better state. To compare them with the ancient Japanese is hard. The reason for this seems to justify the somatic variation along a running cline from southeastern to north eastern (Shenfield, 1998, pp. 57).In the process of its development, in 1542 Japan started to experience contact with the western countries such as Netherlands, England, Spain, and Portugal. The main aim for these countries coming to Japan was to trade with Japan.Later in 17th century Japan realized that the traders and the missionaries from the west countries were being used as military conquest forerunners by the European powers. This led to shogunates to place very tight restrictions on the foreigners. Finally, this forced those foreigners who stayed in Japan to leave.This barred the relation between the Japan and the outside countries except the china and Dutch merchants. The restriction lasted for 200 years, when Matthew Perry of the United States navy came for negotiation so that Japan could be opened for the west.The renewed contact with the west after several years profoundly changed the Japanese society. There was restoration of the emperor into power as the shogunate resigned. The 1868 Meiji restoration brought in so many reforms in Japan.There was abolishment of feudal system, adoption of several western institutions which included the government constitution together with the parliamentary lines, and the western education and legal systems (Mulgan, 2000, pp. 70).