Informatics Publishing Limited

N. Prabakaran ¹, K. Geetha ², K. Janani ³

Affiliations
1 Pervasive Computing Technologies, Anna University, Tiruchirappalli, IN
2 TRP Engineering College (SRM Group), Tiruchirappalli, IN
3 Trichirappalli, IN

Abstract

The rising data centric Wireless sensor network (WSN) is recently emerging technology, which offers the key to isotonic situation in an un-interruptible environment application. It has the ability of keen observation and ties the information with outside world. WSN tenuously collects the dense amount of data, further communicates with the sink through various intermediate nodes. It delivers reckonable response, when unpredictable variation occurs in the environment. Rushing of the enormous data directs to overcrowd in the routing path, which affects vibrant strength of the network. Many of the existing schemes focused on link level congestion. We propose data propelling scheme, which discusses the congestion free environment in node level congestion. Once congestion notification bit is set, new data buffer node awakened, which is near-by to congested node. After its activation, all the data are re-directed to the data buffer and retrieved back in need even at unusual changes occurred further CN bit is cleared. Aspire is, make processing rate which is to be equal to transmitting rate to avoid funneling effect. Our scheme is not consuming too much of energy of new data buffers and resources. It annotates that nodes are intended for working for long time without human intervention. Further our scheme is concentrating on congestion free critical environmental applications, otherwise which drastically decrease the performance of the network.

Keywords

Data Propelling, Congestion Control, Node Level Congestion, Sink.

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R. Sujatha ¹, M. Durgadevi ¹, K. Janani ¹, A. Soundarya ¹, S. Thilagavathi ¹

Affiliations
1 Department of Information Technology, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN

Abstract

Present days, individuals over the universe are getting progressively delicate to their eating routine. Unequal eating routine can cause numerous issues like weight gain, heftiness, sugar, and so forth. So various frameworks were grown to break down food pictures to compute calorie, sustenance level and so on. Food is one of the most significant necessities of each living being on earth. The individuals require their food to be new, unadulterated and of standard quality. The measures forced and computerization completed in food preparing industry deals with food quality. Presently a day, individuals over the universe are getting progressively delicate to their eating regimen. Weight is the significant reason for overweight this prompts the sort II diabetes, coronary illness and malignant growth. Estimating the food is significant for a fruitful solid eating regimen. Estimating calorie and sustenance in everyday food is one of the test techniques. Cell phone assumes a crucial job in the present innovative world utilizing this strategy will upgrade the issue in the admission of dietary utilization. In this venture, a food picture acknowledgement framework for estimating the calorie and sustenance esteem was created. The client needs to snap the photo of the food picture this framework will arrange the picture to recognize the kind of food and segment size and the acknowledgement data will gauge the quantity of calories in the food. In this framework the food region, size and volume will be utilized to figure the calorie and nourishment in an exact manner.

Keywords

BoW, CNN, DenseNet, MSMVFA, ResNet, VGG.

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