A HIGH SPEED VLSI ARCHITECTURE FOR DIGITAL SPEECH WATERMARKING WITH COMPRESSION

The need to provide a copy right protection on digital watermarking to multimedia data like speech, image or video is rapidly increasing with an intensification in the application in these areas. Digital watermarking has received a lot of attention in the past few years. A hardware system based solely on DSP processors are fast but may require more area, cost or power if the target application requires a large amount of parallel processing. An FPGA co-processor can provide as many as 550 parallel multiply and accumulate operations on a single device, but FPGAs excel at processing large amounts of data in parallel, as they are not optimized as processors for tasks such as periodic coefficient updates, decision- making control tasks. Combination of both the FPGA and DSP processor delivers an attractive solution for a wide range of applications. A hardware implementation of digital speech watermarking combined with speech compression, encryption on heterogeneous platform is made in this paper. It is observed that the proposed architecture is able to attain high speed while utilizing optimal resources in terms of area

A Mind Operated Computer Mouse Using Discrete Wavelet Transforms for Elderly People with Multiple Disabilities

AbstractAccording to a statistical survey made by World Health Organization (WHO) India suffers from highest number of road accidents and out of which more than ten percent of them are prone to head injuries. This scenario leads to patient's death or make the victim to become comatose. Also, many different disorders can disrupt the neuromuscular channels through which the brain communicates with and controls its external environment. Brainstem stroke or spinal cord injury, cerebral palsy, muscular dystrophies, multiple sclerosis and numerous other diseases impair the neural pathways leading to communication and control which make the victims intellectually or physically disabled. Most often, the communication for paralyzed people is established by using a Brain Control Interface (BCI). Most of the existing systems had experimented Brain Computer Interface either with animals or healthy human beings. But, this paper focuses on movements of the mouse cursor controlled by a person with multiple disabilities. The mouse cursor movement would further be used by the disabled person to have a communication with his caretaker by means of the software developed by us. The proposed system uses discrete wavelet transforms for de-noising the muscular and cardiac signals. An independent component analysis is performed in order to extract the beta rhythms from the EEG signal. The mouse control is achieved by interfacing the mouse with a microcontroller which receives the operating voltages from the Data Acquisition System (DAS) which acquires and conditions the EEG signals coming from the user brain. The proposed system is tested on several young and elderly persons and is found to be working with more than 95% accuracy

Solar and Dynamo Powered Ev Using Fingerprint Authentication

Nonrenewable energy sources are already interfering with the availability of electricity. Today, the primary emphasis is on the generation of electricity from renewable sources. This proposal proposes a feasible design solution in the shape of a user-friendly three-wheeler. A fingerprint-accessible electric vehicle. This electric vehicle uses solar power and a self-changing dynamo to charge its battery. The battery serves as the vehicle's power source. A microcontroller serves as the system's primary controller. It is connected to a fingerprint module, a relay, the car ignition, and an LCD. The Microcontroller reads the input from the fingerprint module and, if it is legitimate, grants access to the ignition system. The status will be displayed on the LCD. In addition, we're adding three more sensors: speed, temperature, and voltage. Lithium-ion batteries can be harmful if not used within the safety-operated area (SOA). To avoid this, we calculate the temperature of the lithium-ion battery when it exceeds 49.9?. It will make a sound through the buzzer. This can prevent damage to the battery and the person driving the vehicle. Voltage Sensor is designed to monitor battery charging and discharging time, which is displayed on the LCD. A speed sensor is used to determine the speed of the vehicle

Exploring the Therapeutic Potential of Rosemary: An In-depth Review of its Pharmacological Properties

The pharmacological effects of rosemary plant period a wide range and include anti-inflammatory and antioxidant properties. Rosemary is shown to have its potential on Ischemic stroke because of its Anti-oxidant and Anti-inflammatory properties. It contains strong antioxidants such carnosol, which has anti-inflammatory properties, and Rosmarinus acid, which fights oxidative stress. Rosemary is an attractive possibility for treating disorders like oxidative-related diseases because of its dual activity. Additionally, Rosemary has shown neuroprotective qualities that aid in maintaining brain health and cognitive function. The aromatic components in its essential oil may improve concentration and memory. Rosemary has also been investigated for its potential in hair care, with research indicating that it can encourage hair growth. These rosemary Officinalis also have different chemical substances and compounds like Terpenes, Essential oils, Bicyclic monoterpenes, Monoterpenoids, Ester and also, we have different pharmacological activates they are Anti-oxidative, Anti-inflammatory, Anti-microbial, Anti-obesity, Anti-fungal, Anti-cancer, Anti-diabetic, Cardiovascular activity, Skin health, Neuroprotective, Gastrointestinal, Sperm motility, Anti-depressant, Anti-viral activity

High-throughput low-cost nl-qPCR for enteropathogen detection: A proof-of-concept among hospitalized patients in Bangladesh.

BACKGROUND: Diarrheal disease is a leading cause of morbidity and mortality globally, especially in low- and middle-income countries. High-throughput and low-cost approaches to identify etiologic agents are needed to guide public health mitigation. Nanoliter-qPCR (nl-qPCR) is an attractive alternative to more expensive methods yet is nascent in application and without a proof-of-concept among hospitalized patients. METHODS: A census-based study was conducted among diarrheal patients admitted at two government hospitals in rural Bangladesh during a diarrheal outbreak period. DNA was extracted from stool samples and assayed by nl-qPCR for common bacterial, protozoan, and helminth enteropathogens as the primary outcome. RESULTS: A total of 961 patients were enrolled; stool samples were collected from 827 patients. Enteropathogens were detected in 69% of patient samples; More than one enteropathogen was detected in 32%. Enteropathogens most commonly detected were enteroaggregative Escherichia coli (26.0%), Shiga toxin-producing E.coli (18.3%), enterotoxigenic E. coli (15.5% heat stable toxin positive, 2.2% heat labile toxin positive), Shigella spp. (14.8%), and Vibrio cholerae (9.0%). Geospatial analysis revealed that the median number of pathogens per patient and the proportion of cases presenting with severe dehydration were greatest amongst patients residing closest to the study hospitals." CONCLUSIONS: This study demonstrates a proof-of-concept for nl-qPCR as a high-throughput low-cost method for enteropathogen detection among hospitalized patients

Relational approaches to poverty in rural India: social, ecological and technical dynamics

Poverty is now widely recognised as multidimensional, with indicators including healthcare, housing and sanitation. Yet, relational approaches that foreground political-cultural processes remain marginalised in policy discourses. Focusing on India, we review a wide range of relational approaches to rural poverty. Beginning with early approaches that focus on structural reproduction of class, caste and to a lesser extent gender inequality, we examine new relational approaches developed in the last two decades. The new approaches examine diverse ways in which poverty is experienced and shapes mobilisations against deprivation. They draw attention to poor people’s own articulations of deprivation and alternate conceptions of well-being. They also show how intersecting inequalities of class, caste and gender shape governance practices and political movements. Despite these important contributions, the new relational approaches pay limited attention to technologies and ecologies in shaping the experience of poverty. Reviewing studies on the Green Revolution and wider agrarian transformations in India, we then sketch the outlines of a hybrid relational approach to poverty that combines socio-technical and -ecological dynamics. We argue that such an approach is crucial to challenge narrow economising discourses on poverty and to bridge the policy silos of poverty alleviation and (environmentally) sustainable development

Marriage and the crisis of peasant society in Gujarat, India

This contribution takes marriage as the example of a crisis of production and reproduction in rural India. Through the juxtaposition of ethnography separated by six decades, we detail a shift away from land and agriculture as the primary markers of status among the Patidars of central Gujarat, western India, in favour of a hierarchical understanding of international migration. The paper discusses the disconnect between a cultural revolution in favour of migration, and the failure of many to live up to their own cultural standards. More broadly, we reflect on the forces that simultaneously strengthen and dissolve caste inequality in the context of India's uneven growth

Securing IoT Devices from DDoS Attacks through Blockchain and Multi-Code Trust Framework

In an era where IoT devices are integral components of numerous systems, their security from prevalent DDoS attacks has become imperative. The traditional security protocols are unable to withstand the sophisticated nature of these attacks, presenting an escalating vulnerability issue in the network security ecosystem. This research proposes a revolutionary approach to address these challenges through a “Blockchain and Multi-Code Trust Framework” utilizing the “UNB IoT DDoS Data Set.” Leveraging the decentralized and immutable characteristics of blockchain technology, alongside a multi-code driven trust mechanism, this framework aims to create a secure, robust, and resilient environment for IoT devices. Our methodology capitalizes on blockchain's transparency to foster trust and validation in network transactions, significantly reducing the threat surface for DDoS attacks. Furthermore, the incorporation of a multi-code system intensifies the security measures, providing several layers of protection against potential breaches. Data sets used in this study encompass diverse real-world IoT network traffic, meticulously collected from the “UNB IoT DDoS Data Set,” to facilitate a comprehensive analysis of the system's performance under various attack scenarios. Our preliminary findings indicate a remarkable improvement in the security posture of IoT devices, exhibiting a substantial reduction in successful DDoS attacks, thereby achieving a new pinnacle in IoT security. This research not only proposes a robust solution to a pressing issue but also opens avenues for further innovations in IoT device security using blockchain technology