Computation of aquifer parameters using geo-electrical techniques for the North Chennai coastal aquifer

1298-1306Computation of aquifer characteristics, such as hydraulic conductivity, transmissivity, formation factor, and porosity utilizing the geophysical method is less complex compared to that using arduous pumping test. Vertical electrical soundings directed in 33 areas in the north Chennai coastal aquifer in the Araniyar–Kosasthalaiyar basin demonstrates that the geo-electrical technique is a valuable tool to assess subsurface development and aquifer parameters. High values of hydraulic conductivity and transmissivity were recorded in the western part of the investigated region. Spatial conveyance of Dar Zarrouk parameters and aquifer parameters are helpful in evaluating the examined territory and for finding the favorable area for extraction. This study demonstrates that aquifer properties of coastal area are found to improve while moving away from the drift. Aquifer parameters were calculated using a pumping test and a geophysical technique in the examined zone and they were found to match. The investigation demonstrates that the geo-electrical study is a good alternative for the estimation of aquifer parameters instead of the laborious pumping tests

Online toll payment system using android application

Now a day’s android application are emerging popular day by day.Online toll payment system will be very useful for the passengers and also the payment can be done in online. The toll payment system consists of an application that generates QR-Scanner code that will be displayed on the mobile device after the payment is done. The application also gives notification to the passenger before 2km or 3km before reaching the toll booth. The generated QR code will be scanned through a camera mobile device which is connected to the mySql server. The code generated is compared with server data and will be verified

TOXICITY OF ATRAZINE AND RELATED TO TESTICULAR, TISSUE DAMAGING ENZYME LEVELS IN POECILIA SPHENOPS

Objective: This study was designed to evaluate the toxic effects of Atrazine (ATZ) on the enzyme levels in Poecilia sphenops.Methods: The cytosolic testicular enzyme and tissue-damaging enzyme activity were measured in Poecilia sphenops was exposed to 3 sub-lethal concentrations (1.25, 2.5 and 5 mg/l) of atrazine for 100days and control was also maintained. The toxic effects of ATZ to Poecilia sphenops were assessed through testicular marker enzyme, tissue-damaging enzyme level.Results: The activities of testicular functional enzyme ALP, ACP, SDH, LDH, G6PDH and tissue-damaging the activities of glutamate oxaloacetic transaminase (GOT) and glutamate pyruvic transaminase (GPT) activity levels were altered in treated groups compared with that of the control.Conclusion: This study demonstrates that atrazine induces tissue damage in terms of enhanced enzyme activity and testicular enzyme activity in Poecilia sphenops. Atrazine has toxicity to the reproductive system in Poecilia sphenops

Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer

The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literature have been reported for the thermal Unit Commitment (UC) solution. In this work, the UC problem has been formulated by integrating wind power generators along with thermal power system. The Wind Generator Integrated UC (WGIUC) problem is more complex in nature, that necessitates a promising optimization tool. Hence, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm has been chosen as the main optimization tool and real coded scheme has been incorporated to handle the operational constraints. The standard test systems are used to validate the potential of the GWO algorithm. Moreover, the ramp rate limits are also included in the mathematical WGIUC formulation. The simulation results prove that the intended algorithm has the capability of obtaining economical resolutions with good solution quality

Exploring Current Trends and Challenges in Cybersecurity: A Comprehensive Survey

Cyber security is the process of preventing unauthorized access, theft, damage, and interruption to computers, servers, networks, and data. It entails putting policies into place to guarantee the availability, confidentiality, and integrity of information and information systems. Cyber security seeks to protect against a variety of dangers, including as hacking, data breaches, malware infections, and other nefarious actions.  Cyber security has grown to be a major worry as a result of the quick development of digital technology and the growing interconnection of our contemporary society. In order to gain insight into the constantly changing world of digital threats and the countermeasures put in place to address them, this survey seeks to study current trends and issues in the area of cyber security. The study includes responses from end users, business executives, IT administrators, and experts across a wide variety of businesses and sectors. The survey gives insight on important problems such the sorts of cyber threats encountered, the efficacy of current security solutions, future technology influencing cyber security, and the human elements leading to vulnerabilities via a thorough analysis of the replies. The most important conclusions include an evaluation of the most common cyber dangers, such as malware, phishing scams, ransom ware, and data breaches, as well as an investigation of the methods and tools used to counter these threats. The survey explores the significance of staff education and awareness in bolstering cyber security defenses and pinpoints opportunities for development in this area. The survey also sheds insight on how cutting-edge technologies like cloud computing, artificial intelligence, and the Internet of Things (IoT) are affecting cyber security practices. It analyses the advantages and disadvantages of using these technologies while taking into account issues like data privacy, infrastructure security, and the need for specialized skills. The survey also looks at the compliance environment, assessing how industry norms and regulatory frameworks affect cyber security procedures. The survey studies the obstacles organizations encounter in attaining compliance and assesses the degree of knowledge and commitment to these requirements. The results of this cyber security survey help to better understand the current status of cyber security and provide organizations and individual’s useful information for creating effective policies to protect digital assets. This study seeks to promote a proactive approach to cyber security, allowing stakeholders to stay ahead of threats and build a safe digital environment by identifying relevant trends and concerns

A Novel Hybrid Based Method in Covid 19 Health System for Data Extraction with Blockchain Technology

Millions of people have been afflicted by the COVID-19 epidemic, which has resulted in hundreds of thousands of fatalities throughout the world. Extracting correct data on patients and facilities with and without COVID-19 with high confidence for medical specialists or the government is extremely difficult. As a result, utilizing blockchain technology, a reliable data extraction methodology for the COVID-19 database is constructed. In this accurate data extraction model development and validation study in blockchain technology for COVID analysis, here a novel Hybrid Deep Belief Lionized Optimization (HDBLO) approach is proposed. The weights of the deep model are optimized by the fitness of lion optimization. The implementation of this work is executed using MATLAB software. The simulation outcomes shows the effective performance of proposed model in blockchain technology in COVID paradigm in terms of Mean Absolute Error (MAE), Root Mean Square Error (RMSE), accuracy, F-measure, Processing time, precision and error. Consequently, the proposed approach is compared with the conventional strategies for significant validation

A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges

Artificial intelligence's "deep learning" discipline has taken off, revolutionizing a variety of industries, from computer vision and natural language processing to healthcare and finance. Deep learning has shown extraordinary effectiveness in resolving complicated issues, and it has a wide range of potential applications, from autonomous vehicles to healthcare. The purpose of the survey to study deep learning's present condition, including recent advancements, difficulties, and constraints since the subject is currently fast growing. The basic ideas of deep learning, such as neural networks, activation functions, and optimization algorithms, are first introduced. We next explore numerous topologies, emphasizing their distinct properties and uses, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Further concepts, applications, and difficulties of deep learning are all covered in this survey paper's thorough review. This survey aid the academics, professionals, and individuals who want to learn more about deep learning and explore its applications to challenging situations in the real world

SYNTHESIS, CHARACTERIZATION AND ANTI-INFLAMMATORY ACTIVITY OF NOVEL PYRAZOLE DERIVATIVES

Objectives: To synthesize novel pyrazole derivatives and their evaluation for anti-inflammatory activity. Methods: The synthesis of chalcone (1) was carried out by using Claisen-Schmidt condensation. which on further cyclization with thiosemicarbazidegives the substituted 3, 5-diphenyl-4, 5-dihydro-pyrazole-1-carbothoic acid amide (2), further reaction with different aldehydes yield title compounds(3). Using this scheme 8 compounds were synthesized which further have been evaluated for anti-inflammatory activity by egg-albumin induced pawedema.Results: All the synthesized compounds have been supported by spectral analysis. The anti-inflammatory activity of synthesized compounds wascompared with standard anti-inflammatory agent Diclofenac sodium.Conclusion: Compound-8, compound-2 and compound-3 showed greater anti-inflammatory activity due to the presence of alkene and electronwithdrawing groups (Cl and NO2). Keywords: Chalcone, Thiosemicarbazide, Pyrazole derivatives, Anti-inflammatory activity