Improved Fault Tolerance for Parallel FFT

Digital filters are mainly used in signal processing and communication systems. Soft errors are major threats of the modern communication system. Now a day’s complexity of communication and signal processing increases day by day. So reliability of the system is critical and fault tolerance technique is needed. In parallel FFT protection using ECC and parseval check can be used for error detection and correction. In this project is to reduce the entire area of the fault tolerant system by using pipelined method. In pipelined FFT consist of two butterfly structure. Each stage is replaced by a single butterfly structure. Experimental results show that proposed technique reduces the area and delay of the system. This project is mainly focused on the area of the system. Proposed technique is more efficient and reduces the complexity of the entire system

An Improved Fault Tolerant Technique of Median Filter

Acquisition noises in the digital image processing system basically made out of imprudent clamors, for example, hot and dead pixels, and for the most part expelled utilizing middle channels. The median filtering algorithm can be speedup by FPGA implementation. Configuration memory cells in SRAM based FPGAs are susceptible to radiation effects such as SEUs which leads to configuration memory bit flips and hence a protective measure is required for the proper operation of median filtering algorithm.The fault tolerant implementations of median filter provides a range for median value with which the calculated median value is checked and find out error if the median is out of the provided range. The main aim of the project is to fasten up the fault tolerant implementation of median filter in FPGAs by adding a few resources. Experimental results show that the proposed technique significantly reduces the latency of the fault tolerant median filtering process

Smart Cultivation

The proposed project is about a serious issue in today’s world that is insufficient food production, which prevails in many parts of the world. Farming plays an important role in food production and economic development in India and in the world as a whole. Getting high yield from the available land depends on fertility, moisture content of the soil and other climatic factors. The proposed work helps to overcome this problem, which aims at developing an automatic fertilizer-irrigation control and management system. It improves soil porosity and nutrient content through periodic application of required amount of fertilizers and water for crop’s growth. This will metabolize the soil texture, give nutrients to the crops, build plant tissues as well as increase the rate of crop productivity. The implementation of the work is achieved by sensors which include potassium sensor, nitrogen sensor, humidity sensor and temperature sensor, applying Intelligence technique by using Arduino nano to control the valve of the irrigation system. The system automatically applies soluble agrochemical fertilizers and water based on plant needs, as a result of which productivity is increased to considerable amount to meet out increasing needs

Smart Cultivation

The proposed project is about a serious issue in today’s world that is insufficient food production, which prevails in many parts of the world. Farming plays an important role in food production and economic development in India and in the world as a whole. Getting high yield from the available land depends on fertility, moisture content of the soil and other climatic factors. The proposed work helps to overcome this problem, which aims at developing an automatic fertilizer-irrigation control and management system. It improves soil porosity and nutrient content through periodic application of required amount of fertilizers and water for crop’s growth. This will metabolize the soil texture, give nutrients to the crops, build plant tissues as well as increase the rate of crop productivity. The implementation of the work is achieved by sensors which include potassium sensor, nitrogen sensor, humidity sensor and temperature sensor, applying Intelligence technique by using Arduino nano to control the valve of the irrigation system. The system automatically applies soluble agrochemical fertilizers and water based on plant needs, as a result of which productivity is increased to considerable amount to meet out increasing needs

What 'outliers' tell us about missed opportunities for tuberculosis control: a cross-sectional study of patients in Mumbai, India

BACKGROUND: India's Revised National Tuberculosis Control Programme (RNTCP) is deemed highly successful in terms of detection and cure rates. However, some patients experience delays in accessing diagnosis and treatment. Patients falling between the 96th and 100th percentiles for these access indicators are often ignored as atypical 'outliers' when assessing programme performance. They may, however, provide clues to understanding why some patients never reach the programme. This paper examines the underlying vulnerabilities of patients with extreme values for delays in accessing the RNTCP in Mumbai city, India. METHODS: We conducted a cross-sectional study with 266 new sputum positive patients registered with the RNTCP in Mumbai. Patients were classified as 'outliers' if patient, provider and system delays were beyond the 95th percentile for the respective variable. Case profiles of 'outliers' for patient, provider and system delays were examined and compared with the rest of the sample to identify key factors responsible for delays. RESULTS: Forty-two patients were 'outliers' on one or more of the delay variables. All 'outliers' had a significantly lower per capita income than the remaining sample. The lack of economic resources was compounded by social, structural and environmental vulnerabilities. Longer patient delays were related to patients' perception of symptoms as non-serious. Provider delays were incurred as a result of private providers' failure to respond to tuberculosis in a timely manner. Diagnostic and treatment delays were minimal, however, analysis of the 'outliers' revealed the importance of social support in enabling access to the programme. CONCLUSION: A proxy for those who fail to reach the programme, these case profiles highlight unique vulnerabilities that need innovative approaches by the RNTCP. The focus on 'outliers' provides a less resource- and time-intensive alternative to community-based studies for understanding the barriers to reaching public health programmes

Effect of garlic on cardiovascular disorders: a review

Garlic and its preparations have been widely recognized as agents for prevention and treatment of cardiovascular and other metabolic diseases, atherosclerosis, hyperlipidemia, thrombosis, hypertension and diabetes. Effectiveness of garlic in cardiovascular diseases was more encouraging in experimental studies, which prompted several clinical trials. Though many clinical trials showed a positive effect of garlic on almost all cardiovascular conditions mentioned above, however a number of negative studies have recently cast doubt on the efficary of garlic specially its cholesterol lowering effect of garlic. It is a great challenge for scientists all over the world to make a proper use of garlic and enjoy its maximum beneficial effect as it is the cheapest way to prevent cardiovascular disease. This review has attempted to make a bridge the gap between experimental and clinical study and to discuss the possible mechanisms of such therapeutic actions of garlic

Investigating and Validating the Factors Influencing Social Media Advertisement on Consumer Behaviour

<p>Lately, social media has become a crucial element of successful fashion brands' marketing strategies. As social media's popularity has grown, most fashion retailers have recognized the potential of utilizing these platforms to attract new customers. This research aims to investigate how social media advertising impacts consumer purchasing behavior in the fast fashion sector. Additionally, the study evaluates the overall effect of social media advertising on consumer decision-making within the fast fashion industry. Employing a descriptive quantitative research design, data was gathered through self-administered surveys. The study's participants consisted of active social media users , with a sample of 300 consumers chosen through convenience sampling. To assess the objectives, Factor analyses were employed, aligning with the study's goal of measuring the impact of independent variables on the chosen dependent variable. The results indicated that social media advertising positively affects consumer buying behavior in the fast fashion realm. Among the four independent variables, namely entertainment, familiarity, social imaging, and advertising expenditure, three variables—entertainment, familiarity, and social imaging—significantly influence consumer behavior. However, advertising expenditure does not exhibit a statistically significant influence. The study's findings hold implications for the fast fashion industry, providing marketers with insights to comprehend consumers' authentic purchasing behavior in the digital landscape and adapt their strategies accordingly. </p&gt

Novel mutation in a patient with cholesterol ester storage disease.

Cholesterol ester storage disease (CESD) is a chronic liver disease that typically presents with hepatomegaly. It is characterized by hypercholesterolemia, hypertriglyceridemia, high-density lipoprotein deficiency, and abnormal lipid deposition within multiple organs. It is an autosomal recessive disease that is due to a deficiency in lysosomal acid lipase (LAL) activity, which is coded by the lysosomal acid lipase gene (LIPA). We describe the case of a 5-year-old south Asian female incidentally found to have hepatomegaly, and subsequent workup confirmed the diagnosis of CESD. DNA sequencing confirmed the presence of a novel hepatic mutation. It is a four-nucleotide deletion c.57_60delTGAG in exon 2 of the LIPA gene. This mutation is predicted to result in a premature translation stop downstream of the deletion (p.E20fs) and, therefore, is felt to be a disease-causing mutation