Volume 08 Issue 03, May 2020

A Survey on Digital Image Watermarking Method DCT and DWT

Akhaleshvari Jhade, Kedar Nath Singh

Page no:01-04


Improvement in imaging technology and the ease with which digital content can be reproduced and manipulated, there is a strong need for a digital copyright mechanism to be put in place. There is a need for authentication of the content as well as the owner. It has become easier for malicious parties to make scalable copies of copyrighted content with any compensation to the content owner. Digital Watermarking is being seen as a potential solution to this problem. Different watermarking schemes have been proposed, but attacks on a watermarked image are distortions in the watermarked image. These attacks may be intentional or unintentional; the attacks are classified as geometric attacks. This paper presents a comprehensive survey of the current techniques that have been developed and their effectiveness. Digital watermarking was developed to provide the copyright protection and owners' authentication. Digital image watermarking is a method for embedding some data into digital image sequences. E.g. Text image, image data, in this paper, the survey on image watermarking and its methods, Attacks on watermarking, classification of watermarking, and applications. We aim to produce a comprehensive review of the existing literature available on DCT and DWT based mostly on digital image watermarking, to develop a useful digital image watermarking methodology.


Vandana, Ushima Chhabra, Vivek Ojha, Swati Goel

Page no:05-08


The Travelling Salesman Problem is very suitable obstacle from NP set. It is still one from NP-hard. The result of TSP has wide range of practical application so; it is required to have one dynamic result for TSP NP-hard problem. A lot of efforts were provided in the prehistory to give time efficient solutions for TSP. Solution should be correct and close. This paper analysis on going the dynamic result to the obstacle. It uses the Genetic Algorithm to optimize TSP. It is also used for the reducibility of time complexity of TSP.

A Survey on Waste Management Monitoring System Based on IoT

Kuhu Vaish, Shivani Kashyap, Shivani Nagar, Swati Goel

Page no:09-12


In the present day scenario, many times we see that the garbage bins or Dust bin are placed at public places in the cities that are overflowing due to an increase in the waste every day. It creates the unhygienic condition for the people and creates bad smell around the surroundings this leads in spreading some deadly diseases & human illness, to avoid such a situation we are planning unique ID will be provided for every dustbin in the city so that it is easy to identify which garbage bin is full. When the level reaches the threshold limit, the device will transmit the level along with the unique ID provided. These details can be accessed by the concerned authorities from their place with the help of the Internet and immediate action can be made to clean the dustbins. This paper is a proposed IOT based smart waste clean management system that checks the waste level over the dustbins by using Sensor systems. Once it detected immediately this system altered to concern authorized through GSM/GPRS For this system used Microcontroller as an interface between the sensor system and GSM/GPRS system.


Sonam Raj, Kedar Nath Singh

Page no:13-17


the most objective of the information mining process is to extract information from an outsized data set and transform it into a clear structure for further use. Clustering may be a main task of exploratory data analysis and data processing applications. Clustering are main task of grouping of dataset into different group of objects in such some way that objects within the same group or called a cluster are more almost like one another than to those in other groups. This paper may be a survey of recent clustering techniques for detection of non communicable diseases (NCD) like breast cancer dataset etc. These fuzzy clustering algorithms are widely studied and applied during a kind of application areas. During this paper, they're replacing standard fuzzy c-means (FCM) algorithm more error in data analysis and overcome noise sensitivity using with improved proposed algorithm.In order to enhance the efficiency of the searching process clustering techniques recommended. These are discussed with few of the foremost dominant algorithms in their respective sub domains. Finally a model is proposed at the side of various algorithms. Our proposed algorithms are determining estimated error rate of non communicable diseases dataset.


Jonathan Nyarko Ocran

Page no:18-19


This article provides the merits and demerits of artificial or cultured meat as against conventional method of meat production. It then highlights and discusses the key issues that must be addressed to promote cultured meat in Africa, such as the acquisition of this meat production technology, enactment of the needed laws to govern its production, establishment of the meat standards and safety measures and addressing the aesthetic appeal of cultured meat. The rest include education of the general public about its merit, encouraging entrepreneurs to venture into it and lastly using innovative marketing strategy to promote its consumption.

Conflicts in the Power System Due to Incorporation of Distributed Generation

Rahel Masih, Dr. Manoj Kumar Nigam

Page no:20-22


Power requirement is the most necessary requirement of the modern high power advanced technology. To fulfil this increased demand of power requirement, a new technology has been developed which is known as the Distributed Generation (DG). It uses renewable energy sources for the generation of electric power with little impact on the environment of the surrounding area at its site of construction, economical production, less exclusion of toxic sea wastes etc. however it also has some disadvantages. Under the study network of IEEE-5bus network, the impact of connecting DG to the Distribution Network (DN) was studied. The simulation results shown indicate disturbances in the DN with the integration of DG.