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Comparative Analysis and Investigations of Various SVM Kernels Using Cellular Network KPI Data
Omolaye Omohimire Philip,
Mom Joseph Michael,
Igwue Agwu Gabriel
Issue:
Volume 7, Issue 1, June 2019
Pages:
1-12
Received:
18 January 2019
Accepted:
12 March 2019
Published:
29 March 2019
Abstract: Classification plays a major role in every field in of human endeavors which Support Vector Machine (SVM) happened to be one of the popular algorithms for classification and prediction. However, the performance of SVM is greatly affected by the choice of a kernel function among other factors. In this research work, SVM is employed and evaluated with six different kernels by varying their parameters especially the training ratio to investigate their performance. The training ratio was varied in the proportion of 60-20-20, 40-30-30 and 20-40-40 to obtain higher classification accuracy. Based on the performance result, GRBK and ERBK kernels are capable of classifying datasets at hand accurately with the best specificity and sensitivity values. From the study, the SVM model with GRBF and ERBF kernels are the best suited for call algorithm data at hand in terms of best specificity and sensitivity values, followed by the RBF kernel. Also, the research further indicates that MLP, polynomial and linear kernels have worse performance. Therefore, despite SVMs being limited to making binary classifications, their superior properties of scalability and generalization capability give them an advantage in other domains.
Abstract: Classification plays a major role in every field in of human endeavors which Support Vector Machine (SVM) happened to be one of the popular algorithms for classification and prediction. However, the performance of SVM is greatly affected by the choice of a kernel function among other factors. In this research work, SVM is employed and evaluated wit...
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Evolution of Optimal 3D placement of UAV with Minimum Transmit Power
Asad Mahmood,
Muhammad Qamar Usman,
Khurram Shahzad,
Nayab Saddique
Issue:
Volume 7, Issue 1, June 2019
Pages:
13-18
Received:
3 February 2019
Accepted:
8 March 2019
Published:
29 March 2019
Abstract: Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.
Abstract: Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flex...
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A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks
Kamaldeen Ayodele Raji,
Kazeem Alagbe Gbolagade
Issue:
Volume 7, Issue 1, June 2019
Pages:
19-26
Received:
26 January 2019
Accepted:
30 March 2019
Published:
18 April 2019
Abstract: Wireless Sensor Network (WSN) consists numerous sensor hubs which containing a preparing unit, at least one sensor, a radio for information correspondence and power unit generally outfitted with a low limit energy distributed over a geographic area for monitoring our environment and physical conditions. It has been established that vitality is the most obliging element on the functionality of such systems as they are controlled with constrained vitality and replacement of vitality resources might be difficult. While sending the data in sensor network, there might be loss of information or miscalculation could occur in receiving data during transferring. The correctness of information has incredible impact on the performance of the network. To enhance the exactness of sensor information, minimizing vitality utilization and adaptation to internal failure is vital for some WSN’s applications as they operate in unpredictable conditions and ought to stay operational regardless of whether a network failure happen. This paper surveys the available energy efficient, reliability and fault tolerant in WSNs. It focuses on Residue Number System (RNS) and Agent technologies for energy-efficient and fault tolerant in WSNs respectively. However, performance evaluation was also conducted based on the energy consumption, reliability, delay in receiving the sent data and efficiency.
Abstract: Wireless Sensor Network (WSN) consists numerous sensor hubs which containing a preparing unit, at least one sensor, a radio for information correspondence and power unit generally outfitted with a low limit energy distributed over a geographic area for monitoring our environment and physical conditions. It has been established that vitality is the ...
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Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss
Asad Mahmood,
Saad Salman Khan,
Muhammad Qamar Usman,
Shahzada Zamin Abbas Khan,
Muhammad Salman Sarfaraz,
Khurram Shahzad,
Nayab Saddique
Issue:
Volume 7, Issue 1, June 2019
Pages:
27-31
Received:
13 March 2019
Accepted:
8 May 2019
Published:
31 May 2019
Abstract: Unmanned Aerial Vehicle (UAV) act as a flying Base Station (BS) is ascertained an auspicious way to cater the problems of system coverage and capacity. There are some constraints that must be considered to set out a UAV in place of a Base Station (BS). The accessibility of a reliable wireless backhaul link is one of the aforementioned limits and it is considered in this work. The paper explores diverse sort of wireless backhauls that delivers unlike data rates, and their impact on the served users. We present a dual model network0centric’s and user0centric’s and the optimum 3 dimensional assignment of a UAV is calculated for each model. We then maximized the quantity of attended consumers and sum rates for both models. Furthermore it is preferred to lessen the UAV movements which results in increasing flying time & decreases channel variants and the performance of the network is analyzed in correspondence to the user’s translations.
Abstract: Unmanned Aerial Vehicle (UAV) act as a flying Base Station (BS) is ascertained an auspicious way to cater the problems of system coverage and capacity. There are some constraints that must be considered to set out a UAV in place of a Base Station (BS). The accessibility of a reliable wireless backhaul link is one of the aforementioned limits and it...
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