Classification and Extraction of Wetland Features Using Geoinformatics
Authors: Neelam Dalal, Jayshree Pandor, Dr. M. B. Dholakia, Dr. Indra Prakash
Abstract
Wetlands play significant role in maintaining the ecological balance of both abiotic & biotic life in inland and coastal environment. Wetlands occur where the water is at or near the surface of the land, or where the land is covered by the water. Wetlands have great importance more than one reason, because they charge aquifers, conserve moisture, act as pollution filter and are habitat for diversity. Hence, understanding of their occurrence, spatial extent of change in wetland environment is very important and can be monitored using satellite Remote Sensing technique. Accurately mapping wetland type and monitoring their dynamic changes provide the scientific foundation for wetland protection and restoration. The main aim of this study is to map and detect changes in wetland of study area using various digital classification techniques and compare accuracy of supervised & knowledge base classification. Spectral bands and spectral indices are used for extraction of wetland features. Indices are useful for delineating wetland features, and they are used in knowledge-based classification. A knowledge-based classification has been developed using decision tree approach for extraction of wetland features. Change detection analysis has been carried out to find change in wetland features. The study is carried out for pre monsoon and post monsoon period. It is observed that overall accuracy of knowledge- based classification is better than supervised classification.
A Descriptive Survey of Smartphone Addiction in Youth
Authors: Mahesh T. Kahar, Dr. Prabhakar K. Kashyap
Abstract
The aim of the present study is to find out Smartphone Addiction in youth. As Smartphone Addiction is one of the biggest non-drug addictions in human history and a common problem among people from children to old age. Youth of Ahmedabad city, Gujarat, in the age groupof 14 to 24 years were included in the study using random sampling technique. Among a total of 372 respondents of age 15 to 24 years, there were 155 (41.67 %) males and 217 (58.33 %) females. Most of the participants were studying in school and college. The tools used for data collection was Smartphone Addiction Scale SAS-VAM to assess the smartphone addiction in youth.The data was analyzed using descriptive statistics. The study revealed that 168 participants were having average level of addiction that means 45.16 % of the participants were addicted to smartphone.
Image Retrieval With Bit Selection Technique Using Image Processing
Authors: Nidamanuri Srinu, Vallepu Venkatesh, Eedula Raja Mohan
Abstract
Due to their effectiveness in learning the hash functions using streaming data online hacking approaches in semanticized image recovery have been actively studied. The methods of internet hacking are typically better than those relying on target codes. The target codes in these approaches are nevertheless created in advance by heuristic means and cannot be learnt online to record data features. In this article, we suggest a new technique of online hacking in which the destination codes are built to the data characteristics and utilised on the Internet to learn hacking functions.The learnt hatch functions are resistant to the bit-flutting mistake by developing a measure for selecting the most effective bits for building the target code online. In the proposed metric, the relationship between hash functions is also taken into account. Hash features therefore have minimal redundancy. Extensive studies indicate that both the static database and the dynamic database can achieve equivalent or higher performance than previous on-line hacking approaches.
Using Blockchain to Avoid the Flaws of The Cashless Transaction System
Authors: P. Firoze Khan, Ch Sravani, T. Venkateswarlu, G Jahnavi, Y Pavan Kumar, A. Hemasri
Abstract
Technology is backbone of every system in today’s era. But as it is known that every coin has two faces. Technology is invented for betterment of society and humanity but it is necessary to ponder on security issues of digital system. Cashless Economy is a debatable issue of current days. This Paper addresses Errors and Loopholes in Cashless Transaction System (CTS), Mathematical Model to Illustrate loopholes, Difference between Cash and Cashless economy, Electronic Pick pocketing types, Security essentials of online shopping and how to avoid itusing hash function, Soft Targets of intruders in cashless economy and some illustration for the same. Lastly this paper discusses the future of cashless economy and Online Shopping using block chain technology.
Optimization of Queue Clearance for Dudheshwar 3-leg and Dafnala 4 - Leg Intersection
Authors: Harshaketukumar M. Bodar, Mr. V.J. Chitaria
Abstract
In a city like Ahmedabad, vehicles travel on road all day as compared to other districts of Gujarat. In Ahmedabad Traffic includes a different type of transportation mode on road like bikes, scooters, cars, trucks, auto-rickshaws, BRTS, AMTS, etc. So queue clearance is an important factor which helps to increase the flow of vehicles. Optimization of queue clearance can be achieved with help of proper channelization of traffic, road marking, and improvisation in traffic signals. It helps to reduce the delay of vehicles and proper management of the platoon. This can be achieved by analyzing the traffic parameters at an intersection under mixed traffic conditions with help of macroscopic traffic parameters and Microscopic traffic parameters. In this study first of all I will evaluate the present condition of intersection by conducting a pilot survey for getting the basic idea of the queue length and queue clearance time at Dudheshwar Y (3-leg) intersection and Dafnala crossroad (4-leg intersection). After that collected data and analysis of that data will help to formulate and solution of a new algorithm for queue management with help of Regression analysis of the collected data from different surveys and simulation by PTV VISSIM software.