Innovative green technologies enhancing the comfort of HVAC world- A review
Now a day's are coming with new properties and new technologies in HVAC systems which were rudimentary in today’s world. Most of the people are looking for smarter and more comfort and less cost in energy in air conditioning. The deliver energy efficient improvement to enhance the quality of their buildings. The new innovative technologies transmogrify the day to day life with many more comfortable designs efficient to their life. In this paper explains what the new green technologies are which changes the HVAC systems. As per the world is running with green technologies it is reliance on renewable energy which has no effect on the environmental. They are several leverage by using the green energy which including the capability to energy the nature foot print on the earth.
Published by: Jayaprakash Vytla, Dr. Alok Kumar Rohit, C. Sasikumar
Author: Jayaprakash Vytla
Paper ID: V4I5-1182
Paper Status: published
Published: September 10, 2018
Earth’s climate: Influences from extra-terrestrial bodies
This review aims to find researches conducted, facts and figures related to the brief mentioned above i.e. how influences from other planets change Earth’s climate. The report prioritizes on climate change from an interplanetary perspective apart from major terrestrial reasons and determines nature of events likely to occur if instability continues, with reference to studies accomplished on Jupiter, Saturn, Mars, and various bolide impacts.
Published by: Adeela Hameed, Dr. Ambrina Sardar Khan
Author: Adeela Hameed
Paper ID: V4I5-1196
Paper Status: published
Published: September 10, 2018
Managing the under-utilized public open spaces in a neighborhood of TIER-II cities, India
In recent years, utilization of the under-utilized spaces has been seen with increased concentration by urban planners as it is resulting in wastage of a valuable resource, land. Studying under-utilized spaces in a city is complex as it involves dealing with multiple spaces having varied issues associated with it. The paper intends to derive a framework to study these spaces in different Indian cities and identify issues for its under-utilization. The framework is reinforced by the study of neighborhoods in four tier-II cities in India keeping population density and land use as an identical aspect in all the neighborhoods. With ideal solutions to mitigate the issues affecting the community in the vicinity, these spaces can be used to optimum level. This paper is intended to identify the similarities between the issues related to these spaces in different cities and group the issues in domains of administration, maintenance, design or planning due to various reasons for its formation and as per the planning instruments. The paper also aims to come up with ideal generic design approach for issues in design domain and frame guidelines for it to be implemented for benefits to the community in terms of safety, health and economy.
Published by: Kaustubh Mirajkar
Author: Kaustubh Mirajkar
Paper ID: V4I5-1190
Paper Status: published
Published: September 10, 2018
Novel approach for cluster head selection in mobile ad hoc network using NS2
In recent time huge development going on in the field of the wireless sensor network and this network divided into two groups which are known as MANET and VANET. Our main work is to design an algorithm in such a way that the network parameter is optimized efficiently. So the cluster head can’t communicate with other nodes. That the same time, the congestion will occur and packet can’t be transferred to the nodes. It will take more time to complete the packet transmission. This approach illustrates that the proposed method is a routing protocol. The proposed research we have used no of connection in a group or cluster. Every cluster has a cluster head and the cluster head directly interconnects with the improper place. The results of the proposed method are a comparison with existing Leach Protocol. Here the base connection is located to equal distance of a cluster and it’s directly communicating to the cluster connection. This method is increasing to life instance of a network. As compare LEACH and Proposed method, we have noticed proposed method-have better force, lifetime, less delay, better transmission and consumed less time. LEACH Protocol is based on the cluster to make a comparison of native parameters so that we design the proposed method cluster based. The cluster used no of the group to increase the performance. This consist of many advantages which are listed below. Existing Number of groups is low. We can analyze a number of groups here. Every group’s stage check in this proposed research. Proposed method routing protocol has a better result as compared to LEACH protocol. As cluster-head dies, series is rebuilt to bypass the deceased node. So the initial topology is not affected. Head node receives all the aggregated data moreover transmits further to cluster-head.
Published by: Harvinder, Sunil Dalal
Author: Harvinder
Paper ID: V4I5-1180
Paper Status: published
Published: September 10, 2018
Novel approach for image watermarking in YCBCR color space using LWT and SVD
Now a day’s with advancement in technology privacy is one of the concern-parameters. There are diverse techniques available to protect our crucial data safe from unauthorized person. Watermarking, cryptographic, steganography are few examples which help us to protect our information. Digital image (DI) authentication under varying transmission and acquisition conditions is very tedious and efficient watermarking is an effective method to rid of this problem. In this research paper, we propose a transform domain approach in YCbCr color space to enhance the performance of a watermarking system, employing the distinguish integration of Discrete Wavelet Transform, Discrete Fourier Transform, and Singular Value Decomposition. DWT stage selectively utilizes the horizontal and vertical detail coefficients of the 2–dimensional DWT of an image. The translation variance problem of the DWT is compensated in the following DFT stage, which also exploits the frequency characteristics of the image. Finally, SVD is used to embed the watermark data. The method gives superior results in terms of enhanced PSNR values and is able to withstand a diverse of image processing attacks for example blur attack and motion attack. In our research work, four types of attacks are used and we can say that image quality is robust against these attacks.
Published by: Ruchika Vashisth, Vijay Nandal
Author: Ruchika Vashisth
Paper ID: V4I5-1179
Paper Status: published
Published: September 10, 2018
License plate localization method based on vertical edge analysis using SVM technique
There are different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. Support vector machine is a machine learning algorithm with good performance, its parameters have an important influence on the accuracy of classification, and parameters selection is becoming one of the main research areas of machine learning. This dissertation adopts SVM to recognize the characters of the license plate. Then a number plate recognition algorithm is proposed for character segmentation and recognition. This algorithm employs an SVM to recognize numbers. The algorithm starts with a collection of samples of numbers from number plates. Each character is recognized by an SVM, which is trained by some known samples in advance. In order to recognize a number plate correctly, all numbers are tested one by one using the trained model. Our experimental results depict that our proposed technique has a great extent of recognition accuracy and excessive processing speed as compared to traditional SVM which depended upon the multi-class classifier. This new technique gives a superior direction for automatic number plate recognition. Experiments show that the proposed algorithm has higher recognition accuracy than others, the character recognition accuracy of the training set is greater than 99.95%, and character recognition accuracy of test set reaches 99 %. Therefore we can conclude SVM is a better technique than any other supervised learning.
Published by: Pooja, Tajender Malik
Author: Pooja
Paper ID: V4I5-1178
Paper Status: published
Published: September 10, 2018
