Performance management plan Essay Example | Topics and Well Written Essays - 2750 words

Performance management plan - Essay Example Conclusions and recommendations 11 7. References 13 8. Appendices 15 I. Tables 15 II. Figures 17 Executive Summary: The report is an analysis of performance management system at the multinational IT giant Accenture. The analysis was carried out on the basis of learning from literature related to a comprehensive performance management. Literature teachings highlight following points about effective performance management: 1. Performance management is a comprehensive process of assessing organizational performance with respect to all its stakeholders. 2. The Balanced Score Card system provides a comprehensive and flexible framework to translate organizational strategies to measurable objectives. 3. The Management By Objectives approach provides a good model to manage performance at individual level. 4. Performance measurement is only a part of performance management. 5. Performance management comprises of all activities that enhance employee motivation, commitment, performance and lear ning. Thus, approaches such as performance appraisals, performance development plans, feedback, performance review etc should focus towards enhancing employee commitment, motivation, performance and learning. These points have been applied to performance management system at Accenture in order to assess its, and the same is validated with information obtained from web sources related to the company. 1. Introduction Effective performance management

Neural Network Essay Example | Topics and Well Written Essays - 2750 words

Neural Network - Essay Example Last line means to say that if the letters are placed in some tilted position, then also algorithm must tackle this problem. Pattern Recognition or Optical Character Recognition (OCR) is a pipelined process consisting of several stages in proper sequence. They are shown in figure 2. Each character is represented as a combination of pixels. All pixels together make a huge feature vector. Total number of pixels is equal to wh where w is the number of pixel in width side and h is the pixels present in height. Figure 3 depicts the way pixel forms one particular character. xi is the fraction of ink in pixel i. Classifier must be adaptive (generalize) in nature so that it can be able to recognize patterns encountering first time. A typical character image is 6464 pixels large and for each such pixel 256 grey values are required making feature space large. For training a recognizer hence, requires huge amount of data to fill this vast space. In order to reduce the dimension space Principal Component Analysis is mostly used which transforms into lower dimension space (Yeung & Ruzzu, 2001). OCR also should make a distinguishing between ‘O’ and ‘6’. Figure 4 shows one case example. If t/b comes smaller that means letter is ‘O’ otherwise ‘6’. A good algorithm must define the tolerance level (T) adequately. Other examples of such cases are letter ‘q’ and digit ‘9’. First identify the maximum rotation number whether it is 1, 2, 3, 4 or 6. Then check any mirror is present or not (m). Is there any indecomposable glide reflection (g)? And finally whether there is any rotation axis on the mirror present or not. Other than this Genetic Algorithm also works as PR. Selection of patterns play an important role in PR process as it determines the accuracy of algorithm, its learning time, and the necessary number of samples. Best selection of feature plays important