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Rudramurthy, V. C.
- A Review on Data Aggregation in Wireless Sensor Networks
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Authors
Affiliations
1 Department of CSE, GAT, Bengaluru, IN
2 Department of ISE, SIT, Tumakuru, IN
1 Department of CSE, GAT, Bengaluru, IN
2 Department of ISE, SIT, Tumakuru, IN
Source
Wireless Communication, Vol 9, No 8 (2017), Pagination: 161-167Abstract
Wireless Sensor Network is a recent advanced technology of computer networks and electronics. Sensor networks are collection of sensor nodes which co-operatively send sensed data to base station. Wireless sensor networks are used in many applications in military, ecological and health-related areas. These networks are likely to be composed of hundreds and potentially thousands of tiny sensor nodes, functioning autonomously and in many cases, without access to renewable energy resource. These networks are constrained with energy, memory and computing. Power enhance efficient techniques are needed for data aggregation, data collection, query processing, decision making and routing in sensor Networks. Data aggregation is very crucial technique in wireless sensor network. Because with the help of data aggregation we reduce the energy consumption by eliminating redundancy. The security issues like data confidentiality and integrity in data aggregation become vital when the sensor network is deployed in a hostile environment. Most of the aggregation algorithms and schemes do not include any provisions for protection, and consequently these systems are defenseless to a broad diversity of approaches. In the wireless sensor network most challenging task is a life time, so with help of data aggregation we can enhance the lifetime of the network.Keywords
Wireless Sensor Networks, Data Aggregation, Security.References
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- Identification of Medicinal Plants using Visual Characteristics of Leaves and Flowers
Abstract Views :208 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
2 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
1 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
2 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, IN
Source
Digital Image Processing, Vol 13, No 5 (2021), Pagination: 81-85Abstract
The proposed framework helps in ID of plant sickness and gives cures that can be utilized as a safeguard component against the illness. The information base got from the Internet is appropriately isolated and the distinctive plant species are recognized and are renamed to frame a legitimate data set then, at that point get test-data set which comprises of different plant infections that are utilized for checking the exactness and certainty level of the undertaking. Then, at that point utilizing preparing information, the classifier is prepared and afterward yield will be anticipated with ideal exactness. The proposed system comes under Machine learning domain. Machine Learning centers around the improvement of programs that can get to information and use it to find out on their own. Machine Learning has various applications and has been used to tackle real world problems in an efficient manner. It has applications in medicine, communication, entertainment, military and so on. Convolutional Neural Network (CNN) which comprises of different has been used for classification and prediction. The problem with existing systems is that they are limited to a few numbers of plant species or due to use of inefficient algorithms have not been able to achieve the desired levels of accuracy. With the proposed system and training model an accuracy level of 78% was achieved. The proposed framework gives the name of the plant species with its certainty level and the cure that can be taken as fix.Keywords
Machine Learning, Convolutional Neural Network.References
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