International Journal of Advanced Networking and Applications

3616-3622

Authors: A.Adlin; Dr.K.Madhan Kumar

Microstrip patch antennas are recently used in wireless detection applications due to their low power consumption, low cost, versatility, field excitation, ease of fabrication etc. The microstrip patch antennas are also called as printed antennas which is suffer with an array elements of antenna and narrow bandwidth. To overcome the above drawbacks, Flame Retardant Material is used as the substrate. Rectangular shape of microstrip patch antenna with FR4 material as the substrate which is more suitable for the explosive detection applications. The proposed printed antenna was designed with the dimension of 60 x 60 mm2. FR-4 material has a dielectric constant value of 4.3 with thickness 1.56 mm, length and width 60 mm and 60 mm respectively. One side of the substrate contains the ground plane of dimensions 60 x60 mm2 made of copper and the other side of the substrate contains the patch which have dimensions 34 x 29 mm2 and thickness 0.03mm which is also made of copper. RMPA without slot, Vertical slot RMPA, Double horizontal slot RMPA and Centre slot RMPA structures were designed and the performance of the antennas were analysed with various parameters such as gain, directivity, Efield, VSWR and return loss. From the performance analysis, double horizontal slot RMPA antenna provides a better result and it provides maximum gain (8.61dB) and minimum return loss (-33.918dB). Based on the E-field excitation value the SEMTEX explosive material is detected and it was simulated using CST software.

3632-3639

Authors: Dr. G. Rama Subba Reddy; B. Dilip Chakravarthy; C. ReddiNeelima; G. Divya Zion

In today’s world migration of people from rural areas to urban areas is quite common. Health care services are one of the most challenging aspect that is must require to the people with abnormal health. Advancements in the technologies lead to build the smart homes, which contains various sensor or smart meter devices to automate the process of other electronic device. Additionally these smart meters can be able to capture the daily activities of the patients and also monitor the health conditions of the patients by mining the frequent patterns and association rules generated from the smart meters. In this work we proposed a model that is able to monitor the activities of the patients in home and can send the daily activities to the corresponding doctor. We can extract the frequent patterns and association rules from the log data and can predict the health conditions of the patients and can give the suggestions according to the prediction. Our work is divided in to three stages. Firstly, we used to record the daily activities of the patient using a specific time period at three regular intervals. Secondly we applied the frequent pattern growth for extracting the association rules from the log file. Finally, we applied kmeans clustering for the input and applied Bayesian network model to predict the health behavior of the patient and precautions will be given accordingly.

3645-3653

Authors: Maurice Ayuketang Nso

The financial services industry is experiencing rapid changes in services delivery and channels usage, and financial companies and users of financial services are looking at new technologies as they emerge and deciding whether or not to embrace them and the new opportunities to save and manage enormous time, cost and stress. There is no doubt about the favourable and manifold impact of technology on e-banking as pictured in this review paper, almost all banks are with the least and most access e-banking Technological equipments like ATMs and Cards. On the other Hand cheap and readily available technology has opened a favourable competition in ebanking services business with a lot of wide range competitors competing with Commercial Banks in Cameroon in providing digital financial services.

3658-3662

Authors: Kandasamy V; Divya R

In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield.

3669-3673

Authors: Prof. A.K. Baruah; Tulsi Bora

To identify the importance of node of a network, several centralities are used. Majority of these centrality measures are dominated by components' degree due to their nature of looking at networks’ topology. We propose a centrality to identification model, bridging centrality, based on information flow and topological aspects. We apply bridging centrality on real world networks including the transportation network and show that the nodes distinguished by bridging centrality are well located on the connecting positions between highly connected regions. Bridging centrality can discriminate bridging nodes, the nodes with more information flowed through them and locations between highly connected regions, while other centrality measures cannot.