Empowering Cybersecurity: A Deep Dive into AI-Driven Security Intelligence Modelling
Smart Incubator for Empowering Poultry Farmers by Maximizing Egg Hatching Success
Early Disease Detection of Black Gram Plant Leaf using Cloud Computing Based YOLO V8 Model
Data Retrieval in Cancer Documents using Various Weighting Schemes
Securing Healthcare Data in Smart Cities: A Machine Learning Approach
Obtaining cost-effective images with diagnosis quality is a current challenge, and this paper proposes a noise removal algorithm for color images corrupted by additive Gaussian noise and a robust open close sequence filter based on mathematical morphology for high probability additive Gaussian noise removal is given. First, an additive Gaussian noise detector using mathematical residues is to identify pixels that are contaminated by the additive Gaussian noise. Then the image is restored using specialized open-close sequence algorithms that apply only to the noisy pixels. But the color blocks that degrade the quality of the image will be recovered by a block smart erase method. This algorithm can be applied to highly corrupted images. Mathematical morphology is a nonlinear image processing methodology that is based on the application of lattice theory to spatial structures. In color images, algorithms are developed for boundary extraction via a morphological gradient operation and for region partitioning based on texture content. Mathematical morphological operations are useful in smoothing and sharpening, which often are useful as per or post processing steps.
Nowadays for data transfer from one place to other in whole world, internet is the best solution. But data transfer using internet is a very risky affair. In this context data security has become a critical area because private network is not the solution of data security all the time and none of the medium used for data transfer is fully secured these challenges encouraged data hiding techniques like Encryption and Steganography. One advantage of steganography over cryptography is the cryptography protects the contents of a message only, whereas steganography can protect both messages and communicating parties. In this paper we are going to implement a Mobile Apps Based Steganography Technique in a mobile application and compare the results based on various criteria like robustness, noise resistance, imperceptibility, payload capacity and real time with all other audio Steganographic techniques like LSB, Parity, Eco hiding, phase coding and spread spectrum. Millions of Mobile Apps are downloaded on mobile phones daily from all part of world. This technique is implemented on J2ME platform; Mobile Application is a Maze game and it is tested on Nokia Supernova 7610 series phones.
Image compression is aimed to reduce the irrelevance and redundancy of the image data for the purpose to store or transmit data in an efficient form. A Novel image compression technique is proposed which integrates parameter-assistant inpainting (PAI) to exploit visual redundancy in colour images. In this approach, an input image at the encoder side is divided into featured and non-featured regions at block level. The featured blocks matching the predefined model class are coded by a few parameters, whereas the non-featured blocks are coded traditionally. At the decoder side, the featured regions are restored through PAI which is relying on both delivered parameters and surrounding information. Experimental results show that the proposed method outperforms JPEG in featured regions by an average bit rate saving of 73% at similar perceptual quality levels.
Data Mining is a process of discovering patterns in a large data set. On other side Network Security is a most significant problem of Information Era. An Intrusion Detection System is an important part of the security management system for computers and networks that tries to detect break-ins or break-in attempts. There are various approaches for intrusion detection system such as signature – based, anomaly – based, specification – based. Among all the available approaches, anomaly detection approach is the one which is suitable for detecting the novel attacks. By using of data mining techniques in network security new intrusion detection systems are developed. This paper will discuss some data mining techniques which are applied to create intrusion detection systems and their performance comparisons.
To enhance the reasoning ability successfully in a classroom we implement the new technique. For that the investigator uses the Multimedia package to improve the Mathematics student-teachers in reasoning ability. Multimedia improves the effectiveness of teaching learning process in formal or informal setting and utilizing scientific principle. Multimedia is characterized by the presence of text, pictures, graphics, sound, animation and video; some or all of which are organized into some coherent program. A primary application of the interactive multimedia for instruction is in an instructional situation where the learners is given control so that he/she may review the material at his or her own pace and in keeping with his/her own individual interests, needs, and cognitive processes. The objectives of the study was to measure the effectiveness of the multimedia approach in reasoning ability among Mathematics student teachers and the experimental research is essential for finding out into effective from the population of student teachers, the investigator selected 24 students from a college of education in Tamil Nadu. Tools used were Multimedia package to improve reasoning ability developed by the investigator and Reasoning Ability scale developed by the investigator. In the experimental group, student teachers were taught the subject Mathematics by using this Multimedia package to improve reasoning ability. The control group student teachers were taught traditional method to improve reasoning ability. Findings of the study showed that Control group and experimental group do not differ significantly in their pre-test scores. Control group and experimental group students differ significantly in their post-test scores. Control groups students differ significantly in their pre-test and post-test scores. Also Experimental group students differ significantly in their pre-test and post-test scores. The conclusion of the study was that the experimental group student teachers have achieved high in post- test than the control group so that the reasoning ability was enhanced in the student teachers of experimental group than control group.
