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In Communication system, the system capacity and performance are adversely affected and degraded by interference. Hence, power control plays a prominent role in an interference-limited system, which increases the efficiency by mitigating the adjacent and co-Channel interference in the system. In this paper, primarily power control is said to be used in maintaining the acceptable Carrier to Interference Ratio (CIR) by meeting some Quality of service (QoS) requirements Objective function that is defined as maximum channel capacity in a power constraint scenario. The signals in a radio channel undergo different propagation effects like reflection, refraction, scattering and shadowing. Hence, the distribution of users across subcarrier groups as well as their transmission powers within a given cell has a significant effect on how users and power are accordingly distributed elsewhere in the network to maximize the capacity of the system thereby enhancing its performance
- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev
Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc., problems. There is usually some uncertainty involved in all multi-attribute model inputs. The objective of this work is to demonstrate how simulation can be used to reflect fuzzy inputs, which allows more complete interpretation of model results. A case study is used to demonstrate the concept of general contractor choice of on the basis of multiple attributes of efficiency with fuzzy inputs applying COPRAS method. The work has concluded that the COPRAS method is appropriate to use.
Mobile Banking refers to provision of banking and financial services with the help of mobile telecommunication devices. The scope of offered services may include facilities to conduct bank transactions, to administer accounts and to access customized information. After the launch of mobile banking in India, mobile banking transactions have seen some growth. Still mobile banking has a long way to go as, majority of customers prefer banking in traditional ways. The basic objective is to identify the advantages and limitations of mobile banking and the problems faced by customers in mobile banking. The banking sector reforms and introduction of e-banking has made very structural changes in service quality, managerial decisions, operational performance, profitability and productivity of the banks. There are various factors which have played vital role in the Indian banking sector for adoption of technology. So in order to run the mobile banking effectively, proper care has b
The objective of this paper is to examine empirically the influence of good governance practices on the public trust in Lebanon. It presents a theoretical research framework to understand this relationship supported by literature review from recent studies. A survey was conducted among SMEs in the capital Beirut, where 400 questionnaires were distributed among managers and employees resulting 94 percent usable response rate. The research hypothesis was accepted through analyzing the data by SPSS and SEM. The main findings indicate that good governance practices have a positive and significant influence on public trust in Lebanon (p<0.001). Future studies are recommended to extend the empirical research in terms of good governance practices and more specifically at the level of sample and geographical distribution.
Satellite attitude estimation is one of the important processes in accomplishing a satellite mission. All the state estimation process requires dynamics model and filtering algorithm to estimate the state. Most of the estimation algorithm such as well-known Kalman filter and its variation assume the underlying noise in the dynamics model is Gaussian white noise. Hence, the objective of this paper is to investigate whether the noise in satellite attitude dynamics model in Near Equatorial orbit is Gaussian white noise process or not. This is important because if the assumption regarding the noise is incorrect, this will lead to unreliable and inaccurate estimation. In this paper, the noise is analyzed using normality characterizations and autocorrelation function. The result shows that the noise in the attitude dynamics at Near Equatorial orbit is not Gaussian white noise process.
In the present time, many companies follow extreme programming, but if you enquire for something particularly in enterprises, almost all who are doing Agile, currently Scrum is also in vogue.
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