Chaotic Sequence based Steganography for Pair-Wise Communication

Steganography is the art and science of hiding sensitive data inside an image. There are so many cryptosystems that use Steganography as a major tool. Also in recent years there is a rising trend towards chaotic sequence based cryptosystems. This paper attempts to combine the two with a new algorithm for data hiding. Here key images required for Steganography are generated using chaotic sequence. Also an attempt is made to overcome the limitations of Steganography on the file size ratio and the security offered by Steganography

COMPARISON OF BLOCK MATCHING ALGORITHMS FOR MOTION ESTIMATION

This paper is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 8 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search and hybrid search. The algorithms that are evaluated in this paper are widely accepted by the video compressing community and have been used in implementing various standards, ranging from MPEG1 / H.261 to MPEG4 / H.263. The paper also presents a very brief introduction to the entire flow of video compression

Securing Healthcare: A Fusion of AI and Blockchain for Medical Data Protection

Today's digital environment places a high value on data, which includes intellectual property, private consumer information, and long-term corporate strategies. It is crucial to protect this priceless asset from the suspicious eyes of hackers. A complete strategy must be used to address the six major areas of governance, discovery, protection, compliance, detection, and reaction in order to accomplish comprehensive data security. The foundation for data security is laid by governance first and foremost, which calls for the creation of strong policies, data classification processes, an exhaustive list of all available data assets, and a sturdy infrastructure. The next crucial step in guaranteeing data safety is to identify the data's sources, whether they be databases, files, or network systems. Encryption, diligent key management, strict access control measures, and trustworthy data backup procedures must all be put into place in order to protect data efficiently from unauthorized access or breaches. A crucial aspect of compliance is the creation of accurate reports and the preservation of crucial documents. However, the modern cyberspace is a complicated maze of dispersed data, controlled by unrelated organizations lacking in mutual trust. It is difficult to enable safe data sharing and authentication over the internet due to this complex environment, especially when working with massive amounts of data and artificial intelligence systems. The combination of blockchain technology and artificial intelligence (AI) presents a strong solution to this problem. The effectiveness of using AI and blockchain to strengthen the security of medical data is examined in this article. We want to give end users a secure environment by utilizing these cutting-edge technologies, protecting the integrity and security of private medical data in a society that is becoming more linked

Off-line Handwritten Kannada Text Recognition using Support Vector Machine using Zernike Moments

Abstract It is a well-known fact that building a character recognition system is one of the hottest areas of research as it is shown over the Internet and due to its wide range of prospects. The objective of this paper is to describe an OCR system for handwritten text documents in Kannada. The input to the system is a scanned image of a text and the output is a machine editable file compatible with most typesetting Kannada software. The system first extracts characters from the document image and a set of features are extracted from the character image using Zernike moments. The final recognition is achieved using support vector machine (SVM). The recognition is independent of the size of the handwritten text and the system is seen to deliver reasonable performance

A Prospective Observational Study on Rational Use of Antibiotics for Paediatric Patients with Respiratory Tract Infections in a Tertiary Care Hospital

Background: Antibiotic drug overuse and inappropriate antibiotic drug selection are associated with increased drug resistance among respiratory pathogens (most notably, Streptococcus pneumoniae), possible progression to chronic disease, and increased treatment costs.[1] The selection of an antibiotic for prophylaxis should be based on known or likely target pathogens, for a short duration of time. Objective: To evaluate Rational use of antibiotics in Paediatric patients suffering from Respiratory tract    infections. Method: It was Prospective, observational study conducted by random selection of patients. Based on diagnosis, the study population was categorized into 2 groups: Upper respiratory tract infections and Lower respiratory tract infections. The study population was interviewed after obtaining written informed consent for information like demographics, diagnosis, treatment and antibiotics prescribed. Results and Discussion: In our study population, it was observed that male patient (74%) were higher than female patients (26%). Total number of antibiotics prescribed during the study period is 83. Most commonly prescribed antibiotic was Augmentin (Amoxicillin +Clavulanic acid) of dose (450mg IV BD) which is the combination drug, i.e, more effective than individual antibiotic drugs. Conclusion: In the present study it is observed that 4-different classes of antibiotics-Pencillins,Cephalosporins,Macrolides and Aminoglycosides were prescribed and used for different Respiratory diseases.The percentage of average antibiotic utilization is highest in Lower Respiratory Tract Infection with (55.22%).Mostly used Antibiotic in males for both LRTI and URTI is Augmentin with the percentage of (52%) and (80%) respectively.Where as in females it is observed that in both LRTI and URTI mostly used Antibiotic is Augmentin with percentage of (38.8%) and( 80%) respectively.Overall Second mostly used antibiotic is Ceftriaxone. Keywords: pediatrics, lower and upper respiratory tract infections, antibiotics.&nbsp