International Journal of Innovative Technology and Research (IJITR)
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JOINT CALL ADMISSION CONTROL FOR MULTI-MODE TERMINALS IN HETEROGENEOUS CELLULAR NETWORKS
Get PDFThe heterogeneous networks are the Next Generation Wireless Networks (NWGN).The presence of heterogeneous networks leads to the necessity of multi-mode terminals i.e. single mode, dual mode, triple mode, quad-mode etc. based on number of RATs in the heterogeneous networks which results in varying mobile capability. The main problem with the heterogeneous networks is the unfairness in allocation of radio resources. In the same heterogeneous network single-mode terminals (Low-capability mobile terminals) experience high blocking probability compared to quad-mode terminals (High-capability mobile terminals) in the same network. To reduce this problem of unfair allocation of radio resources a Terminal Modality Based Joint Call Admission Control (TJCAC) Algorithm has been proposed. In this proposed algorithm the call admission decisions take into account modality (capability) of the mobile terminal, Load on each RAT and Terminal Support Index of each RAT during resource allocation. We have proposed an analytical model to evaluate the performance of the algorithm and show that there is a decrease in the call blocking and dropping probabilities
STUDY ,MODIFICATION AND ANALYSIS OF INCENTIVE SCHEME OF A LARGE HEAVY ENGINEERING INDUSTRY
Get PDFIncentive is an motivational reward to all industrial workmen who are covered by Factories Act and guided by certified standing orders of the corporation. An incentive scheme may be defined as, ”a system of wage payment under which the earnings of an employee, or a group of employees , or all employees in an organisation is directly related to the output of an acceptable quality and over and above a standard laid down by means of predetermined formula” . The author here discusses only the financial incentive scheme
CHANCE CONSTRAINED MIXED ALLOCATION
No full textAhsan et al. (2005) introduced the idea of “Mixed Allocation” in stratified sampling. In the present paper the work of Ahsan et al. (2005) has been extended when the per unit measurement costs in various strata are random variables and there is a small probability of violation of the cost constraint. The problem of obtaining the optimum allocation in the stated situation is formulated as a Nonlinear Chance Constrained Programming Problem. A solution procedure is developed by converting the Chance Constraint in an equivalent deterministic form. A numerical example is also presented to illustrate the computational details
CASCADED H-BRIDGE MULTI LEVEL CONVERTER POWER BALANCE ANALYSIS BY DC LINK VOLTAGES
No full textMulti-level converters have tremendous applications in the power industry and specially cascaded H-bridge (CHB) converters have a vital role in high power applications. They present a new set of features that are well suited for real and reactive power compensation. The distinctive feature of the multilevel inverters is to provide high switching frequencies with low switching losses. In this paper, power balance analysis of single phase cascaded H bridge converter is presented. Power delivering from source to load or load to grid is analyzed by required ac output voltage and from de link voltages. Detailed power balance analysis of this converter has been carried out using MATLAB/SIMULINK and simulation results are shown
MANAGING CONTEMPORARY NETWORKS OF IPV4 AND IPV6 OVER VARIOUS TRANSITION TECHNIQUES
No full textIPv4/IPv6 transition rolls out several challenges to the world of internet. IETF proposes various transition techniques including dual stack, translation and tunnelling transition mechanisms. Transition techniques enables a smooth transition to the new version of IP. Out of the three mechanisms Tunneling proves to be most effective in the study which has been done as it keeps the end-to-end model that the Internet is built on. The 6rd mechanism that is used for IPv4/IPv6 transition mechanism permits an IPv6 mobile node to roam into IPv4 based network and get serviced besides roaming in IPv6 based network. The swot shows the positive usage of one of the primary technologies which includes NAT444, NAT6, Dual stack Lite and stresses why the 6rd should be a priority and a wide scale. This shows a steady deployment and spread in use of IPv6
SENTIMENT ANALYSIS USING SEMI-SUPERVISED NAIVE BAYES CLASSIFIER
No full textWith the rapid growth of internet technology since early 19th century, there was a tremendous change in the global communication from all over the world. Technology advancements in world wide web has lead a great influence on people communication, as people started communicating in social websites, forums, blogs to express their behavior on particular issue, which showed direct or indirect affect on marketing strategies of an organization, political issues, movie reviews etc., Thus research in this area progressed very rapidly from early mid 90`s . Several techniques, methodologies have been addressed to study the sentiment of people behavior over the internet. The popularity of research in opinion mining and sentiment analysis involved the study of several natural language processing (NLP) techniques. Thus opinion mining is a concept of implementing NLP techniques on the user input given to computer via internet sources. Whereas, Sentiment analysis is used to extract emotions, to extract subject on the issue, and to find out impact on user quoted mined opinions. As NLP techniques used in opinion mining and sentiment analysis addresses many issues like parts of speech tagging-POS, negation rules, word sentiment classification. Hence this paper addresses the following aspects, important for mining opinions and classifying them using semi-supervised naive bayes classifier
A MODELLING ADVANCE FOR INFORMATION RECOVERY
No full textWith the advancement of the search oriented domains related to the well efficient strategies of the emergence of the vertical phenomena plays a major role in its implementation scenario. With respect to the ranking model of the well effective broad based strategy in its application play a crucial role and the responsibility related to the several different domains which is not desired. Due to their differences in their strategy oriented aspects at the time of the construction of the ranking model in a well oriented unique fashion by the integrated fashion of the both data labeling and the model training where it is a time consuming process respectively. Here a new technique is proposed based on the well effective phenomena of the algorithm oriented with respect to the strategy of the regularization plays a major role of the SVM oriented adaptation ranking system in a well desired fashion respectively. Here the present method is implemented by the help of the improvement in the performance followed by the reduction of the cost based strategy plays a major role in the well effectual implementation of the method in a well oriented manner considerably. There is a huge requirement to the data sets related to the predicted strategy of the ranking models of the existed phenomena in a well effectual means considerably. There is no matter related to the implementation of the well effective phenomena related to the aspects of the auxiliary domain of the data related to the internal aspects in a well oriented manner considerably. Research have been performed on the current system and a lot of analysis taken place on the system with respect to the accurate analysis in terms of the performance subsequent to the result of the whole system in a well oriented fashion respectively. Here the analysis takes space on a large number of the datasets with respect to the unknown environments where the identification of the capability plays a major role in its implementation aspect respectively
HARMONY SEARCH OPTIMIZATION FOR FLEXIBLE DOCKING
No full textThe molecular docking algorithms concern about location of the best conformation to dock a ligand to protein. It is an optimization problem which consists of a scoring function and an optimization method..Protein–ligand docking is associated with a highly précised scoring function to identify the translation, orientation, and conformation of a ligand with a large molecule with minimum energy. The optimization algorithm for highly flexible ligands with many rotatable bonds is complex when compared with less flexible ligands using genetic algorithm (GA)-based approaches. This is due to the large number of parameters and high interactive relations among these parameters. To address the problem of docking, a new optimization algorithm based on harmony search is presented in this work. This algorithm makes use of energy function of the Auto Dock. The results also reveal that harmony search optimization (HSO) is better option for docking problems. The results are compared to those of genetic algorithm based approach for docking and show promising directions for future applications for docking of protein-ligand molecules
AN EFFICIENT IMPLEMENTATION OF THE SOFTWARE ORIENTED MODEL ESTIMATION
No full textRecently there is no accurate analysis of the system based implementation perspective in a well efficient manner for the analysis in a perfect scenario of the fashion implementation rather relative to the cost based maintenance followed by the usage of the easier phenomena plays a crucial role in terms of the maintenance respectively. Here the estimation oriented models are designed based on the well efficient strategy of the cost factor plays a crucial role in its analysis point of view followed by the non generalized strategy followed by the scenario of the highly specific plays a crucial role respectively. Here in order to overcome the drawbacks of the several previous methods here a new technique is implemented based on the strategy of the approach related to the multi level phenomena plays a crucial role in its representation of the estimation and the transparency is important respectively. Simulations have been conducted on the present method where there is a lot of analysis takes place on the large number of the datasets in a well oriented fashion with respect to the randomized environments in a well stipulated fashion respectively. There is an accurate analysis takes place in the system in terms of the performance followed by the outcome of the entire system in a well oriented scenario respectively