Journal of Science & Technology (JST)
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BIG DATA PRIVACY AND SECURITY USING CONTINUOUS DATA PROTECTION DATA OBLIVIOUSNESS METHODOLOGIES
Get PDFLarge databases must be protected from breaches, unauthorised access, and misuse in the big data era. With a focus on Continuous Data Protection (CDP) and Data Obliviousness, this study investigates cutting-edge techniques for improving data security and privacy. By guaranteeing real-time data backups, CDP lowers the possibility of data loss due to cyberattacks or system malfunctions. Data Obliviousness processes data securely without disclosing sensitive information by utilising methods including homomorphic encryption, secure multiparty computation (SMC), and differential privacy. When these strategies are combined in big data environments, a strong security framework is produced, regulatory compliance with the likes of CCPA and GDPR is guaranteed, and cyber threat resistance is improved
IMPLEMENT OF SMART HEALTH CARE MONITORING SYSTEM USING MOBILE IOT AND CLOUD COMPUTING TECHNOLOGIES
Get PDFRecently, many research works were interested in combining cloud computing and IoT to design systems for smart health care. Many authors have highlighted the benefits of using cloud computing with IoT and proposed a cloud infrastructure to extend the limited resources of the sensors and to facilitate the management of the sensor-centric applications in many domains. However, about MCIoT convergence, there are fewer research works. One of the projects is about a developed platform based on MCIoT where sensors can interact with a mobile device which has access to the cloud via Internet using Bluetooth. Based on restful web services, the framework is feasible on resource constrained devices. Our work aims basically to come up with a general service architecture for smart healthcare monitoring application, that combines the features of mobile devices, sensors, and cloud computing to offer to the user the enhanced services that are accessible anywhere while guaranteeing scalability and security. Our general service architecture to build a network for health care applications that generated data is stored in the cloud our mobile application will show the accurate results on user dashboard of their smartphones
AUTOMATED SOLAR-POWERED GRASS TRIMMER
Get PDFEnvironmental issues, such as pollution and power shortages, are becoming more commonplace. We've looked at creating a gadget that can do its job without producing any of the problems mentioned above as a solution to these problems. That is why we have considered starting a grass-cutting initiative that utilises solar power as a source of sustainable energy. For locations where electricity is absent, a solar-powered lawn cutting equipment is being developed. As a result, we've chosen to design a solar-powered gadget. The battery is charged via a connection that links the solar panel to the battery. The belt drive must be linked between the motor and the shaft in order for the blade to rotate. This will accelerate the blade's spin, causing it to cut the grass. This gadget will aid in the development of a more environmentally friendly system. As far as cutting grass goes, manual equipment is the most prevalent method of doing it. Researchers are working to construct a conventional robot that can mow a lawn in this study. In order to reduce the robot's excessive power consumption, a battery and a solar panel will be mounted on the robot's top. The system will include some autonomous navigation and obstacle recognition.A MOTOR, AN ULTRASONIC SENSOR, AND A SOLAR PANEL BATTER
Development of Artificial Intelligence Based Chat bot for Project Assistance in Automotive Applications
Get PDFImprovements in Technology helps human to lead life easier when compared to ancient times. With new developments in software technology, apps and software tools are become part of life. Chatbots that are developing
for many applications will find applications in our daily lives also for many personal usages. Even though Chabot
concept is developing one, it is being rapidly adapted for many applications in various areas because this makes the work simpler and easier for the customer. Chatbots are artificial intelligence based tool that chat with one like a person replying from the other side. Project assistance Chatbot is an interactive tool that contains the knowledge base of a particular project or process. The Chatbot will be trained with the data of the particular project. The Chatbot will be able to identify the keywords given by the user, match it with the knowledge that has been fed to it. Finally, it will give the result to the user by logically connecting all the obtained results. Sequence to sequence model has been used to build this Chatbot, which uses encoder and decoder arrangement. The Chatbot model has been implemented with two sets of Recurrent Neural Networks (RNN) using the software Python TensorFlow. Sequence of symbols is encoded by one RNN into fixed-length vector representation and the vectors are decoded into sequence of symbols by the second RNN. The Chatbot has been trained with volume of data and it responds to the user queries
EFFICIENT MACHINE LEARNING MODEL TO IDENTIFY THE LUNG CANCER USING DYNAMIC FEATURE EXTRACTION
Get PDFAn estimated 1.2 million people were diagnosed with lung cancer in 2000, making it the most frequent disease worldwide (12.3% of all malignancies). Cigarette smokers are responsible for 80% to 90% of lung cancers. In both sexes, lung cancer continues to be the major cause of cancer-related death in the United States and elsewhere. Tobacco use and smoking are responsible for nearly all occurrences of lung cancer. Other causes of lung cancer include exposure to radon gas, asbestos, air pollution, and persistent infections. Further, many potential risk factors for developing lung cancer have been proposed, including both genetic and environmental factors. Small-cell lung carcinomas (SCLC) and non-small-cell lung carcinomas (NSCLC) are the two main histologic subtypes of lung cancer and exhibit distinct patterns of growth and metastasis (NSCLC). Surgery, radiation treatment, chemotherapy, and targeted therapy are all viable alternatives for treating lung cancer. Different characteristics, such as the nature and extent of the malignancy, inform suggestions for treatment approaches. A diagnosis of lung cancer at an early stage can save the lives of patients. Several machine learning algorithms were used to make lung cancer forecasts in this study.
 
Development of cryptographic algorithm using bit shifting and Matrix XOR operations
Get PDFSecured transmission of data is an important technological issue in the world. It is very much essential to develop intelligent cryptographic algorithm, which solves this purpose. A bit shifting and stuffing (BSS) system
refers to shifting the printable character bits (ASCII characters of 7 bits each) by 01 bit. The 8th bit of one printable
character is replaced by a new bit of other printable character. In the BSS system based encryption process, for every eight bytes of plain text of data in encryption process; the encryption produces seven bytes of cipher text. On contrary during decryption process, seven bytes of cipher text converted to original eight bytes of plain text. In this work a new replacement algorithmic rule for Digital encoding called as “Bit shifting and Matrix XOR Operation Conversion Technique” (BSMXOR) is proposed which increases the complexity of encryption of the data. The experimental results shows that the new theme has very fast encoding and safer for data transmission.
 
STUDY OF COVID-19 AND PREDICTION OF FUTURE MODEL USING MACHINE LEARNING
Get PDFSARS-CoV-2, a novel coronavirus mostly known as COVID-19 has created a global pandemic. The world is now immobilized by this infectious RNA virus. This RNA virus has the ability to do the mutation in the human body. This study explores the mutation rate of the whole genomic sequence gathered from the patient's dataset of different countries. The collected dataset is processed to determine the nucleotide mutation and codon mutation separately. It has been found that a huge amount of Thymine (T) and Adenine (A) are mutated to other nucleotides for all regions, but codons are not frequently mutating like nucleotides. Using this training and testing process, the nucleotide mutation rate of 400th patient in future time has been predicted. About 0.1% increment in mutation rate is found for mutating of nucleotides from T to C and G, C to G and G to T. While a decrement of 0.1% is seen for mutating of T to A, and A to C. It is found that this model can be used to predict day basis mutation rates if more patient data is available in updated time.
 
Optimal Placement and Sizing of DGs in Electrical Distribution System using Optimization Techniques
Get PDFThe Electrical energy is produced at the generating station is conveyed to the consumers through a network of transmission and distribution systems That part of power system which distributes electrical power for
local use in (DG’s) placement is carried out sufficient smaller than central power plants and can be connected at
nearly any point in power system. It has some benefits they are Voltage control power quality, Loss reduction, System reliability. Distribution generation (DG) is a modular technology that can be sited throughout a utility service to lower the cost of service. The optimization is based on the Constriction-factor Particle Swarm optimization (Cf-PSO) technique and Butterfly Optimization Algorithm (BOA) with efficient mathematical function and global search capability. Shunt capacitor bank plays an important role in Electrical Distribution System (EDS). It improves the voltage stability, power factor, reduce network losses. To allocate the DG and SC banks optimally in Radial Distribution System to reduce the Power losses, Enhances the voltage profile, to diminish the total voltage deviation (TVD), to expand the voltage stability index (VSI)To finding the optimal site and size of DG’s and SC bank, Butterfly Optimization Algorithm and constriction –factor Particle swarm optimization (Cf-PSO) is applied in IEEE 33-bus system and IEEE 69 bus RDS.
 
DEVELOPMENT OF PROTEIN BASED SNACKS – A REVIEW ON WHEAT CHIPS
Get PDFSnack foods, notably chips, are widely enjoyed by people of all ages in the world. However, this commonly used potato chips, have resulted in various health issues of heart disease, cardiovascular issues etc., To overcome this issues, Wheat based chips are introduced. Wheat is a best energy source for humans since it is rich in carbohydrates. But it hasn't been used as a significant ingredient because its flavour and texture aren't the same as traditional potato chips. So wheat is used in conjunction with other ingredients to produce chips. This in turn, significantly affects the physical and nutritional properties of the chips as well as reduces the fat and water contents of the chips.Thus, this study analyses the methodology so far adopted to enrich the physical and nutritional properties of the wheat chip. It also compares the results of wheat flour chips made in combination with bromelain and papain which has great potential as a flour modification technology for producing wheat chips.
 
Socio-demographical variables effects on perceived parenting styles among Adolescents—a demographical study in Andhra Pradesh.
Get PDFThe objective of the present study is to find the effects of socio-demographic context on perceived parenting styles among Adolescents—a demographical study in Andhra Pradesh. The current study participant's sample number was 1208 adolescents of both genders within the age range of 12 to 18 years, studying in 8th and 9th standard, SSC, and Intermediate of English and Telugu medium schools those who belong to Rural and urban living population with joint and nuclear family system in Andhra Pradesh.
Background of the study: The rural population is more homogenous in social, racial, and psychological traits that negatively correlate with heterogeneity. (Most agriculturists are directly connected with agriculture). More heterogeneous than rural. Urbanity and heterogeneity are positively co-related (Different population types are seen in cities, places, religions, caste, class, race, community, economic and cultural differences, occupations, and behavioral patterns are also different). Family structure is in the form of two types. Nuclear and joint families differ in the support each inherently offers, affecting adolescents' behavior. Method: In the present study, the proportionate stratified random sampling method has been followed to collect the data from the sample. A demographic survey gathered family structure information and the number of disciplinary incidents from rural and urban living places for middle adolescents in Andhra Pradesh. They also completed a parenting style tool that measured adolescents' perceived parenting modes—R.L.Bharadwaj eight modes of parenting styles. There was applied SPSS-21 to analyse the adolescents' perceived parenting styles on
study variables. The analysis was used based on objectives framed for the particular hypotheses. t-test and way ANOVA was administered to test the hypotheses. The results indicated a significant difference between rejection vs. acceptance neglect vs. indulgence parenting styles among middle adolescents. The other results found that socioeconomic status showed substantial differences in Middle adolescents' perceived parenting styles on rejection vs. Acceptance, carelessness vs. Protection, and lenient standards vs. moralism parenting styles.
The study found that adolescents from urban and rural semi-urban showed a significant difference in lenient standards and moralism practices. Analysis revealed that adolescents living with joint and nuclear families using a neglecting parenting style were less likely to receive disciplinary incidents compared to adolescents living with joint family structure. Previous research suggested that an authoritative parenting style tends to benefit adolescents regardless of the family structure. Implications Present study results summarize that areas of residence (Rural, Urban, and Semi-urban) showed significant differences in Andhra Pradesh middle adolescents' perceived parenting styles. The study implies that nuclear family middle adolescents perceiving parenting style significantly differed on neglecting a parent than joint family respondents perceiving parenting style.