This paper presents and modern approach for water metering it uses a real time approach of monitoring the standard water quality parameters and store them for further analysis and reporting purposes.Considering the everincreasing demand of water and the purity it become essential to develop the SMART System which can provide the real time data for decision making purposes at various ETP, WTP and STP plants.The proposed solution is one of the solutions which uses today's technology IoT to resolve the above problems.This paper directs by taking initiative steps for presenting the water level and quality monitoring.The approach here is to collect the real time data from various sensors (water flow sensor, pH sensor, water control valve and water level sensor) and can further be monitored on software, website or mobile devices.After capturing the data from the various sensors, the data can be processed with microcontroller and stored in database and further with the help of wireless module it can be sent to the cloud environment from where it can be accessed 24x7 anywhere anytime via internet.
AI is the today's advanced approach of implementing marketing strategies focusing on advanced technology which benefits such as better user experience by getting personalized suggestion, preference based browser, customer demand anticipation, availing advanced search options as image-based product search and improved inventory management, and efficient delivery management and many more.The benefits of using the AI technology includes development of tailored solutions, products and experiences as per the changing market demands, the applications such as data analytics, customer relationship management (CRM) systems, email marketing platforms, social media advertising and more, are racing to incorporate AI features to improvise the marketing strategies for business.However, the consideration also be made so as to focus on the ethical approach of tapping the potential market and generating the more business benefits by way if ethical practices includes privacy, bias, and accountability.
This project aims to design a self-propelling ionic thrust wing, combining aerodynamics and ionic propulsion technology.The system utilizes ionized particles for propulsion, generating thrust by interacting with a charged grid.The wings design incorporates lightweight materials and aerodynamic principles to optimize lift and efficiency.The integration of advanced control systems ensures stable flight, while the ionic thrusters provide a clean and efficient means of propulsion.This innovative approach holds potential for unmanned aerial vehicles with extended flight endurance and reduced environmental impact.The system utilizes a compact and efficient propulsion mechanism to generate thrust.The design also focuses on optimizing weight distribution, control systems and propulsion efficiency to achieve stable and agile flight.
The global energy landscape is undergoing a transformative shift, and the potential of LNG as a major energy source is a topic of intense debate. In order to meet the growing demand for sustainable energy supply, it is crucial to maximize the efficiency and environmental friendliness of the LNG supply chain. This research aims to leverage computational modeling and optimization techniques to enhance the production units involved in LNG production. By harnessing the power of advanced algorithms and simulations, we can identify and implement innovative strategies that minimize energy consumption, reduce greenhouse gas emissions, and enhance the overall sustainability of LNG. Through this study, we seek to uncover novel approaches to address the challenges faced by the LNG industry, including improving operational efficiency, optimizing liquefaction processes, and enhancing the utilization of natural resources. By integrating cutting-edge computational tools and considering environmental factors, we aspire to pave the way for a more sustainable and environmentally friendly future powered by LNG. By exploring the immense potential of computational modeling and optimization, we strive to contribute to the ongoing efforts in advancing energy sustainability and shaping the future of LNG as a crucial global energy source."In this paper, our focus is on simulating and optimizing the process of converting natural gas to LNG. Our goal is to achieve the minimum energy consumption per ton of LNG produced. Through our research, we have identified that utilizing a three-stage exchanger is the most effective approach for minimizing energy consumption in an LNG industrial production unit. Moreover, we have discovered that the outlet pressure from the compressor and the type of refrigerant in the cooling system play significant roles in determining the rate of energy conservation. By carefully considering these factors and optimizing their settings, we can further enhance the overall energy efficiency of the LNG production process. Our research aims to provide valuable insights and guidance to industry professionals and decision-makers in the LNG sector. By implementing the findings of this study, we can contribute to the sustainable development and utilization of LNG as a cleaner and more environmentally energy source. Friendly It's great to see the optimized parameters for the refrigerants and pressure settings in the liquefaction and subcooling cycles. With the mass fraction of 0.89 for methane and 0.14 for ethane in the liquefaction cycle, and 0.59 for methane and 0.3 for nitrogen in the composition for achieving energy efficiency in the LNG production subcooling cycle, The optimized outlet pressure of 650 kPa for the compressors in the liquefaction cycle and 1800 kPa for the subcooling cycle furtherr ccontribute to minimizing energy consumption. Based on your findings, the amount of consumed energy at 14.81 kW per ton of produced LNG highlights the success of the optimization efforts. Reducing the energy consumption per ton of LNG produced is a significant accomplishment towards achieving energy sustainability and environmental friendliness in the LNG industry. These results demonstrate the importance of computational modeling and optimization in identifying the best parameters for eenhancing energy efficiency in LNG production. By implementing these optimized settings, we can work towards a more sustainable future with reduced energy consumption and lower environmental impact
Computational Fluid Dynamics (CFD) is revolutionizing the oil and gas industry by offering powerful insights and innovative solutions. This paper explores the cutting-edge applications of CFD in enhancing and innovating within the sector. CFD simulations provide engineers with invaluable insights into fluid behavior, enabling optimized designs and informed decision-making. The software facilitates foresight by predicting system performance, optimizing drilling techniques, and maximizing reservoir management strategies. Moreover, CFD optimizes equipment design, increases operational efficiency, and reduces costs through virtual testing, eliminating the need for costly physical prototypes. The application of CFD aligns with the United Nations Sustainable Development Goals (SDGs), promoting energy efficiency, climate action, responsible production, and sustainable consumption. It addresses flow assurance challenges, enhances safety protocols, and mitigates environmental impacts. CFD is a powerful tool driving innovation, resilience, and sustainability within the oil and gas industry, ensuring a more efficient, safe, and environmentally conscious future. As advancements in CFD methodologies continue, the potential for further enhancements and breakthroughs within the sector becomes even more promising, driving the industry towards a sustainable and prosperous future.
The development of a Seed Management System Chatbot, a new tool designed to streamline and increase the efficiency.This chatbot uses natural language processing and artificial intelligence to help researchers, scientists and authors manage the seed data associated with their research.The chatbot provides a user-friendly interface for entering, organizing and retrieving initial information, reducing the burden of manual record keeping and minimizing the risk of data loss.It also helps ensure research traceability and reproducibility by securely storing and managing seed data.
Diagnosing Autism Spectrum Disorder (ASD) present challenges due to the absence of specific diagnostic tools for definitive identification.ASD is characterized by social communication challenges and restricted or repetitive behaviors, diagnosed based on observed behavior.This survey investigates the landscape of computational models for ASD detection, reviewing methodologies like Naïve Bayes, Support Vector Machine, Logistic Regression, KNN, Neural Network, and Convolutional Neural Network (CNN).The study extends its focus to include the development of an application to identify autism and support for parents.It addresses the increasing role of ML in medical research and aims to comprehensively explore the evolving landscape of ASD detection models.The paper delves into the intricacies of ASD diagnosis, emphasizing the potential synergies between ML methods and creative applications that enhance recognition and parental involvement.
A digital Visitor Management System(VMS) goes beyond convenience, becoming a strategic necessity for organizations aiming to bolster security, efficiency, and compliance in the digital era.In the age of digital transformation, a robust VMS is crucial for fortifying organizational resilience and ensuring a secure, streamlined environment for stakeholders.IndoAI's Visito, a Visitor Management App, combines Facial Recognition and Aadhar verification for secure entry.With OTP verification, accurate cross-referencing, and a Pass printout, it ensures enhanced security, efficiency, and compliance.The Analytics Dashboard provides administrators with key insights for informed decisionmaking and optimization.Further, integrating QR code-based VMS with AI Camera and Zero Trust into Aadhar verification ensures continuous scrutiny, minimizing unauthorized access risks and enhancing user experience
Nitrogen and sulphur compounds and their derivatives have been used as medicinal applications and medicines e.g.sulpha drugs and azides.Several applications of sulphur -nitrogen compounds and their derivatives encourage researchers to increase their synthesis as an alternative for the treatment of pathogenic microbe infections.Trithiazyltrichloride is a cyclic compound of Tetra sulphur Tetra nitride.Compounds of copper sulphate and ferrous sulphate with Tri-thiazyltrichloride synthesized.The synthesized novel compounds of ferrous sulphate and copper sulphate screen against the gram -Ve bacteria E. Coli.and S. Typhimurium as well as gram +Ve S.Auren and S. Abbus and fungi Aspergillus, Penicillium.
This study investigated the effectiveness of multimedia instructional techniques on learning of English grammar among tertiary institution students in Kebbi state.The main objective of the study is to find out whether teaching English grammar using multimedia instructional techniques, such as Instructional Videos and Power Point Presentation as against the traditional techniques, such as audio-lingual and grammar translation methods could facilitate performance in English grammar among tertiary institution students in Kebbi state.Year two (200 Level) students of all the tertiary institutions in Kebbi state formed the research population.The study used quasi-experimental research design, specifically, a pretest-posttest design.This implies that intact class settings were used in the study, where pre-test, treatment and posttest were carried out.Statistical procedures of mean, standard deviation and t-test were used to answer the research questions and test the null hypotheses generated for the study.The findings of the study revealed that tertiary institution students taught aspects of English grammar using the multimedia instructional techniques performed better than those taught the same aspects using the traditional techniques.The study recommended that teachers should adopt technology based teaching instruction in order to improve the teaching of grammar in particular and other components of English language in general..
Roots and tubers are starchy foods that give energy to human beings and therefore play an important role in diets particularly in developing countries.The information regarding the production and even the contents in these foods are not enough.The research is aimed to identify the functional groups in the produce of these crops using Fourier transform infrared spectroscopy.This method is used extensively in industry, where it is possible to find that the same compound is marketed by a number of manufacturers but the infrared spectra of the products are slightly different.The results depict that all the samples (cocoyam, yam, cassava and potato) have contents of amides, carboxylic acids, carbohydrates with only cocoyam and yam having alkylhalide contents.Further studies are recommended to determine the nutritional value of the foods.
One of the flexible sheet metal forming methods is multi-point forming (MPF).MPF is mostly utilized in automotive and aerospace prototypes to cut down on time and costs.To comprehend the impacts of forming orientation on multi-point formation, two alternative forming orientations have been explored in this work.Deform 3D, a finite element program, was used to model and analyse multi-point forming (MPF) orientations.The V-type shape was created using 0.5 mm thick sheet metal made of aluminium 1100.According to the necessary load of sheet metal in simulations, three different diameters, 10 mm, 12 mm, and 14 mm, were examined.The findings indicate that, in comparison conventional forming10 mm pin forming was a more suitable forming type for this shape.
In case of industrial equipment there is a requirement of material to be transfer from one place to another place.This process may require the heavy load lifting and raw material movement etc. material handling is important to transfer the material at right place at right time for its good working environment.That's why requirement of the crane for the purpose of material handling from one place to another place is necessary.This work will helpful for the specific requirement of such application of material handling in case of process industry.Basically, such industries require more human interfere for proper completion of the work.We have designed material handling system for one of the industries where aluminum bars are manufactured using extrusion process.
Carbon nanotubes (CNTs) are cylindrical allotropes of carbon.They were discovered in the year 1991 and they have a unique structure.Due to the huge production and applications of carbon nanotubes, they have attracted many industries and companies towards themselves as they are used in nanotechnology, membranes, capacitors, polymers, metallic surfaces, ceramics, nanomedicine etc.The main motive of this paper is to highlight the basic adsorption capacity of the Carbon nanotubes, and it also reveals that the thermal and chemical stability make them suitable materials as new stationary phases and pseudostationary phases.And also for adsorbents in solid-phase extraction (SPE) and solid-phase microextraction (SPME).This article describes the latest applications of Carbon nanotubes (CNTs) in chromatography.
