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Research Paper

Smart agriculture by monitoring moisture pH levels in soil

Agriculture plays the major role in economics and survival of people in India. Even today, traditional methods and backward techniques are being used by different countries in the agriculture sector. In India, the agriculture techniques are labor intensive, whereas the modern agriculture technology is mainly capital intensive. Production efficiency has been increased significantly with the technological advancement in agriculture. With the help of internet of things, a novel design approach to smart farming is framed that increases the productivity. IoT will play a major role in meeting this need. IoT when combined with cloud and big data, it can improve the efficient use of inputs like fertilizers, soil, and pesticides. It also helps in scanning storage capacities like water tanks, predicting related diseases, monitoring livestock, and making sure the crops are watered well. Farmers need the variety of data and services to improve crop production based on land, crop, climate conditions, finance availability, irrigation facilities etc.. Cloud computing has been used by Government and other private agencies to store agricultural data. Cloud support various services to farmers to interact with the cloud by using any cheaper ways like sensors, mobile devices, scanners etc. Smart farming becomes an emerging concept, IoT sensors are capable of providing information about their respective agricultural fields. This proposed approach aims at making use of evolving technologies like IoT and smart agriculture using automation. The major factor that aids in improving the yield of efficient crops is by monitoring environmental factors. To monitor various agricultural activities like cutting, weeding and spraying, a remote-controlled vehicle is operated that works both in automatic and manual modes. A controller is mounted on this vehicle that monitors the temperature, soil condition, temperature and accordingly water is supplied to the field.

Published by: Gaddam Sanjeeva Reddy, C M Anuja, Manjunath C R, Sahana Shetty

Author: Gaddam Sanjeeva Reddy

Paper ID: V4I3-1314

Paper Status: published

Published: May 9, 2018

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Research Paper

Real-time human skin color detection using OTSU thresholding

Skin color is a robust cue in human skin detection. In the development of Human-Computer Interface (HCI) applications, information that are relative to skin color is extensively utilized. Human skin color shows resemblance with non-skin materials like wood, wall paint etc. So an accurate human-computer interaction system is required to be designed which can distinguish between them. Although several methods have been proposed, skin color detection still remains a challenge mainly due to problems such as illumination conditions, camera characteristics, and ethnicity.

Published by: Dujana Nuzra A K, Minnu Jayan C

Author: Dujana Nuzra A K

Paper ID: V4I3-1336

Paper Status: published

Published: May 9, 2018

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Research Paper

Classification of hyperspectral images using PPI and LMM

Hyperspectral images are the treasure of information since it contains hundreds of spectral bands. Classification of Hyperspectral images is the process of identifying the components in each pixel. For this purpose, the pure and mixed pixels of the image should be identified and the endmember signatures and components are identified with the help of spectral libraries. In this paper, it is attempted to identify the minerals in the hyperspectral data ‘Cuprite’, that covers the Cuprite mines in Las Vegas, Nevada, the U.S. The pure pixels are identified by using PPI algorithm and their endmember signatures are obtained. The abundance maps of mixed pixels are obtained by using LMM. The total variation based regularization and joint sparsity of abundance maps are exploited in this paper.

Published by: Pavithra Sukumar, Sreena V G

Author: Pavithra Sukumar

Paper ID: V4I3-1303

Paper Status: published

Published: May 9, 2018

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Research Paper

Smart metro train

The proposed system is driverless train which is preprogrammed to run between two stations. For this, ARM 7 microcontroller is used. It exterminates need any driver. Thus, the human blunder is ruled out. The prototype provides detection of passengers at the platform. RFID module is used when the passenger is entering the station, a passenger will swipe the card and if it is valid then the passenger can enter into the train. Passenger count is displayed on the ThingSpeak webpage for future use.

Published by: Madhura Suresh Punde, Monali Sarade, Shatataraka Ulhalkar, Aparna More

Author: Madhura Suresh Punde

Paper ID: V4I3-1181

Paper Status: published

Published: May 9, 2018

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Research Paper

Energy-efficient sleeping technique in cellular network

Presently days the greater part of the people groups are utilized portable phones, therefore the number of base stations and base station utilization’s are additionally increased. The expanding interest of high limit in cell systems requires enormous vitality consumption. Thus, energy proficiency is turned out to be really objective in cell networks. In a phone network, the base stations are utilized more measure of energy. So, energy effectiveness component is connected to the base stations. In this case, we have used a mechanism to on/off base stations according to the users. If a base station does not contain any client then it goes into the sleeping mode, otherwise, it proceeds to its dynamic mode. In this case, a user-centric clustering mechanism is considered. In this technique another system is likewise used, this case the base stations check their closest neighbor base stations. Then tally the number of active base stations and sleeping base stations. If any client needs to interface another client with another base station and the majority of the base stations are sleeping. At, this case the resting base stations are naturally going into the wake-up state. And help to associate the clients.

Published by: Aswathy James, Prince Abraham

Author: Aswathy James

Paper ID: V4I3-1328

Paper Status: published

Published: May 9, 2018

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Research Paper

Changing pattern of financial flows in different sectors with change in time

Economic growth of any country depends upon its resources. Its resources could be manpower, investment capacity, infrastructure and natural resources. India having abundance intellectual skill and natural resource, it lacks adequate funds to invest for infrastructural development, which contributes to economic growth of the nation apart from meeting its social obligation. Through FDI and various funds inflow, lead to the higher growth rate of few sectors especially communication and service sectors. However, the resource sectors such as agriculture, forestry & Mining, community & social services have recorded constant and slow growth during the period covered in the study. This study is an attempt to explore the reasons for slow growth in resource sectors and to identify the highest & lowest growing sectors with change in time to analyze the existing economic policy of India. The study uses the objective criteria of profit motives and behaviour of market forces including regional imbalances between resource and market region.

Published by: Ravindra Nath Singh, Dr. R. D. Singh

Author: Ravindra Nath Singh

Paper ID: V4I3-1305

Paper Status: published

Published: May 9, 2018

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