Volume 11 | Issue 4

 Abstract

ABSTRACT The COVID-19 pandemic has had a profound impact on the global airline industry, leading to a significant reduction in air travel demand and causing unprecedented financial losses. This research paper aims to comprehensively analyze the impact of COVID-19 on the airline industry and provide insights into the challenges faced by the industry during this unprecedented crisis. The study will examine the impact of the pandemic on the airline industry in terms of revenue, passenger traffic, operational efficiency, and workforce. The research will also explore the measures taken by airlines and the government to mitigate the impact of COVID-19 and the implications for the future of the airline industry. Keywords: COVID-19, airline industry, revenue, passenger traffic, operational efficiency, workforce, government measures, future implications.

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impact of covid-19 in airline industry specially Turkish airline

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More and more company disciplines across a wide spectrum are incorporating technology initiatives, as organisations strive to take advantage of technological benefits to enhance their mechanisms and stay competitive in today's technological market. With the goal to enhance efficiency, production, and profitability, businesses are now integrating technological innovations across a broad spectrum of business sectors. The emergence of artificial intelligence (AI) is one of the most significant advancements in technology in recent years. AI can be understood as the computer simulation of human intellect. If we talk about marketing, it is a pivotal function for any business, regardless of its size or industry. AI have bought significant impact on industrial marketing function and amended various marketing tools and its outcomes.

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Marketing, Artificial Intelligence, Customer Satisfaction

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The United States relation with Afghanistan mainly becomes visible since 1921, however, the very first imprints of contact is of 1830, when Josia Harlan visited. Since then, the relation between two countries has gone through tremendous changes through different phases of history. This paper focuses on US-Afghan relations and American strategy in Afghanistan, particularly in 20th century. In 1910, An Afghan mission visited the United States to establish diplomatic ties. The United States assured helping Afghanistan to improve its standard of living under its policy to help developing nations. William Harrison Hornibrook was a non-resident US Envoy to Afghanistan from 1935 to 1936. In 1942, Kabul Legation was opened and Major Gordon Enders was appointed in Kabul. From 1942 to 1945 Engert represented United States and Ely Eliot Palmer followed him till 1948. Despite of its close relation with Germany, Afghanistan remained neutral during Second World War. Analyzing US policies in Afghanistan in 20th century needs a critical evaluation of chronological events that connect America with Afghanistan

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US Policy in Afghanistan, 20th Century, Second world war, first world war, Mujahideen, Al queda, Taliban, US War on Afghanistan,

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Treatment of greywater for reuse has attained importance in the recent years, asits reuse can be a cost-effective alternative source for water. Many treatment systems were studied and optimized considering the minimum energy requirement and operational feasibility. Present study mostly focused on the optimization of process parameters. In the coagulation-flocculation process, the coagulant and flocculant dose were optimized with RSM and combination of the doses were applied (9 mg/l alum + 0.8 mg/l PE). The agitation rate of mixing was also optimized (18 RPM for slow mixing and 140 RPM for fast mixing). Sedimentation time was optimized and the optimum time found as 70 minutes. The dual media filtration with sand and GAC were optimized keeping the consideration of cost and efficiency, the GAC to sand depth ratio, initial COD concentration and flow rate was optimized using RSM (RSM suggest a GAC: sand =0.6). The treatment of real greywater was performed and the parameters measured were, COD and MBAS. Column study was carried out at optimized influencing parameters. The COD removal efficiency at flow rate 4 ml/min (0.76 m3/m2/h), 8 ml/min (1.52 m3/m2/h) and 12 ml/min (2.28 m3/m2/h) was observed as 75.73%, 69.90% and 62.14% after 1 h and 43.69%, 9.71% and 4.85% after 24 h, respectively. The MBAS removal at the same flow rate was observed as 93.81%, 81.50% and 76.92% after 1 h and 32.85%, 17.39% and 6.35% after 24 h, respectively.

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Chemical Oxygen Demand, Methylene Blue active Substances, Potassium Hydrogen Phthalate, Granular Activated Charcoal, Polyelectrolyte, Rotation per Minute, Constructed Wetland, membrane Bio-Reactor

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Medicinal herbs are the local heritage with global importance. They have curative properties due to presence of various complex chemical substances of different composition, which are found as plant secondary metabolites in one or more parts of these plants.Mashabaladi Kwatha is a multi-herb decoction which contains seven important herbs in equal quantity and two drugs as Prakshepa dravya. The present study provides updated information on its phytochemical analysis, pharmacological properties and probable mode of action of Mashabaladi Kwatha. The decoction has Tridoshaghna action mainly Vata-Kaphashamaka along with Nadibalya (nervine), Dhatuvardhaka-Pushtikara (nourishes and strengthening the body tissue, fluids etc.), Shophahara(anti-inflammatory), Shoolahara(subsides pain), Raktapittahara (haemostatic), Amapachana (digestive), Rasayana(rejuvenating), Vrushya (aphrodisiac) etc. All these properties of Mashabaldi Kwath are considered to combat vitiation of Vata in Pakshaghata (hemiplegia), Manyasthamba (cervical spondylitis), Karnanada (tinnitus) and Ardita (facial paralysis). Last decade have witnessed exceptional rise in demand of plant based Medicine and herbal product in International market. Due to excessive demand in the Global market, the rate of extraction of medicinal plants from natural sources is higher than the rate of their regeneration. That directly contributes to the present scarcity of medicinal plants. This study highlights the results of standardization (identity, purity & strength) tests, preliminary phytochemical screening and TLC findings. All the said tests are conducted in The Tamil Nadu Dr. M.G.R. Medical University, Chennai. These studies are important in way of establishing quality-control, efficacy & accept ability of herbal drugs.

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Mashabaladi kwatha,Tridoshagna,Nadibalya,Shophahara,Pakshaghata

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 Abstract

Bharat pak sambandho me kasmir samsya ka ek vishleshanatmak adhyanan

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Bharat pak sambandho me kasmir samsya ka ek vishleshanatmak adhyanan

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With the increasing pace of modern life, consumers are increasingly seeking convenient food options that are easy to prepare and consume. Most of the time people prefer instant food like cup noodles, chapati, nuggets, instant idly, dosa mix etc. specially youngsters. Ready-to-eat (RTE) foods have emerged as a popular solution to this need, offering a range of convenient and easy-to-prepare options that require minimal time and effort. This study is limited to 102 respondents between the ages 15 to 45 in Tamil Nadu which had been contacted using social media. In this study 59.8% are males and 40.2% are females. Each respondent to this study asked to complete a short questionnaire in order to analyse the data. This study aims to investigate consumer behaviour towards RTE foods and identify the factors that influence their purchasing decisions, analyse the consumer perception and consumer satisfaction towards Ready-To-Eat Food products. The results of the study reveal that convenience, taste, and availability are the most important factors that influence consumer behaviour towards RTE foods. Consumers prefer RTE foods that are easy to prepare and have a long shelf life, and are willing to pay a premium price for RTE foods that they perceive as healthier and of better quality. Overall, the study provides important insights into consumer behaviour towards RTE foods and highlights the need for further research to explore the potential health risks associated with RTE foods.

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Consumer behaviour, Ready-to-eat foods, Convenience, Health concerns, Brand reputation, Marketing strategies, Consumer satisfaction

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Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone assisted disease diagnosis. Using a public dataset of 2000 images of diseased and healthy plant leaves collected under controlled conditions, we train a deep convolutional neural network to identify Cotton crop species and 3 diseases (or absence thereof). The trained model achieves an accuracy of 82.35% on a heldout test set, demonstrating the feasibility of this approach. Overall, the approach of training deep learning models on increasingly large and publicly available image datasets presents a clear path toward Web based crop disease diagnosis on a massive global scale. The advance and novelty of the developed model lie in its simplicity; healthy leaves and background images are in line with other classes, enabling the mode l to distinguish between diseased leaves and healthy ones or from the environment by using deep CNN. Novel way of training and the methodology used facilitate a quick and easy system implementation in practice. All essential steps required for implementing this disease recognition model are fully described throughout the paper, starting from gathering images in order to create a database, assessed by agricultural experts, a deep learning framework to perform the deep CNN training. This method paper is a new approach in detecting plant diseases using the deep convolutional neural network trained and fine-tuned to fit accurately to the database of a plant's leaves that was gathered independently for diverse plant diseases. The advance and novelty of the developed model lie in its simplicity; healthy leaves and background images are in line with other classes, enabling the model to distinguish between diseased leaves and healthy ones or from the environment by using deep CNN.

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 Keywords

Acquisition, Disease Diagnosis, Cotton Detection, Identification of plant diseases, Agricultural experts, Convolutional Neural Network, Pathogens.

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The electric car plays a vital role in current technology due to its various features. There is a need for an effective transportation system, particularly four wheelers, due to overpopulation. The amount of fossil fuel being consumed to make petroleum products is rising. As a result, the price of petroleum items is steadily rising every day. Individuals frequently suffer as a result of the rising price of petroleum products. There are also new models of electric cars on the market that can run entirely on electricity stored in a battery, eliminating the need for fuel energy. As a result, lots of individuals are enthusiastically purchasing and using it. But, compared to a typical petrol car, an electric car is unable to travel farther, climb hills more easily, or run at its top speed. We presented a new electric car that addresses the flaw of existing cars in order to get over these issues with gasoline and electric cars. Both an internal combustion engine and an electric motor are used to power our car. The drives of internal combustion engines and electric motors operate independently of one another. The user has the option of selecting between the electric mode as the driving mode. The client can experience a dual mileage system with our car by using battery power. Our car has a regenerative braking mechanism installed, which results in a little amount of battery charging. Fast battery charging is not possible with electric cars, making it uncomfortable for the rider in an emergency. Yet, under our system, a user can work in fuel mode during an emergency, charge the battery during downtime, and then use. We provide a detachable electric fitting; client can use the same component for another model of petrol car. Also, we offer a battery overheating warning system and a theft alarm, which will undoubtedly help the user avoid fire. This car offers the rider excellent durability and high flexibility while requiring less maintenance. Our method will undoubtedly benefit the user with greater efficiency in the world we live in today, where there is a huge demand for gasoline.

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Battery, Petrol car, Electric Propulsion and Hybrid electric vehicle.

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Whether a car has front-wheel drive, rear-wheel drive, or all-wheel drive, the majority of current models use a two-wheel steering system to control their movement. However, four wheel steering vehicles are being employed more frequently as a result of increased safety awareness because they are also renowned for their outstanding performance and stability. They are wheels of conventional two-wheel steering vehicles do not assist with steering and simply follow the front wheels' route. In four-wheel steering, the wheels can be turned left or right depending on the situation. The direction of rotation for the rear wheels might be either parallel to the front or opposite. The four-wheel system is made to operate in three different ways. Specifically, rotations that are in-phase, out-of-phase, and zero.

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Design, fabrication, dual axis steering mechanism, review.

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This research study explores the role and benefits of modern technology in hiring processes in India. The study examines key technological advancements, such as applicant tracking systems, AI-powered chatbots, machine learning, video interviewing, and social media recruiting, and how they have improved the efficiency and effectiveness of the hiring process. The study also considers the challenges in implementing technology in hiring and provides case studies of companies, such as HDFC Bank, Reliance Industries, and Tata Consultancy Services, who have successfully implemented technology-driven solutions in their hiring process. The research concludes with insights into the future of technology in hiring in India. The key takeaways from this study are the increased efficiency, cost savings, reduced bias, and improved candidate experience that technology can bring to the hiring process.

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modern technology, hiring process, applicant tracking systems, AI-powered chatbots, machine learning, video interviewing, social media recruiting, efficiency, effectiveness, cost savings, bias reduction, candidate experience

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With the increase in urbanization, traffic congestion and environmental pollution have become significant issues in many cities worldwide. Electric foldable cycles are an innovative solution that provides a sustainable and efficient mode of transportation for urban commuting. Electric foldable cycles have become a popular mode of transportation due to their versatility, convenience, and eco-friendliness. This paper provides an overview of electric foldable cycles, including their history, design, features, and benefits. The paper also discusses the current market trends and future outlook for electric foldable cycles. This paper aims to examine the rise of electric foldable cycles as a popular and viable option for urban mobility. The paper reviews the current market trends, advantages and disadvantages, technical specifications, and future prospects of electric foldable cycles.

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Electric Foldable Cycle, Pollution, Urban Commuting.

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Because of its effects on the various communication and security domains, intrusion detection in computer networks is crucial. It can be difficult to find network intrusions. Furthermore, network intrusion detection is still a difficult task because it takes a tremendous amount of data to train modern machine learning models to recognize network intrusion threats. Recently, a number of methods have been put out for network intrusion detection.

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NSL-KDD, machine learning, feature scaling, network intrusion detection system (NIDS), software defined network (SDN), Ada Boost.

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The future of the automobile industry is electric vehicles which are advantageous to us in many ways. Electric vehicles do not emit pollutants which make them eco-friendly and are generally differentiated with the help of a green license plate. The proposed system aims at building an intelligent model that can recognize electric vehicles such as cars, buses, autos and two-wheelers from its green license plate. The technique used here is image processing which works by processing the images of vehicle license plates. The final objective is to create an automatic authorized electric vehicle recognition machine. The data can be used by the government to conduct surveys and monitor the growth of electric vehicles in society. The data can also be further analyzed by environmentalists to understand the level of impact the electric vehicles have on the environment.

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Electric Vehicles, Recognition, Machine Learning, OpenCV, Color detection, License plate detection

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The games content examination has expanded quickly in ongoing many years, in view of such tremendous development of video transmission over the Web and the interest for computerized telecom applications. In which enormous information produced by sport recordings so there is testing errand of mining or characterization of game video information spreading over web. Existing studies have zeroed in on the techniques of sports video examination from the spatiotemporal perspective (Meta information) rather than a substance based viewpoint (actions). Rationale behind proposed work is to parse sport recordings in light of activities only which sort of game is playing in current video grouping rather than crude data about that video. The game video broadcast is the vitally satisfied spreading and requesting over web. The monstrous interest for sports video broadcasting, many game applications, for example, hot-star, you-tube and numerous web based entertainment applications. Ongoing many years the games programs have turned into a prevailing concentration in the field of diversion. Research on big data analytics has attracted much attention to machine learning and artificial intelligence techniques. Thus, there is need major areas of strength for of which can deal with such colossal game information in light of content of videos.

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Action Recognition, Content Aware System, Content-based Multimedia Analysis, Event Detection, Semantic Analysis, Sports, Survey.

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Phytonutrient analysis and sensory evaluation study on pandan amaryllifolius

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Phytonutrient analysis and sensory evaluation study on pandan amaryllifolius

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Abstract: Education is the means of total development of individual's potentialities. A nation can be developed if it's all citizens are educated and economically sound. Society also makes its progress by full utilization of human resources. To be a developed country, India should require a well planned education system to improve the socio-economic and cultural approaches. There are a lot of commissions, plans, programs and policies were set up for the effective development of Indian education. All these plans and policies aimed to equal educational access to all people of India, irrespective of any discrimination. The Indian constitution in its different articles from different amendments, seeks to provide educational opportunities to the Indian citizens. After the Education Policy of 1986, the New Education Policy 2020 is the largest policy that leads to reform and reconstruction of Indian education from pre-primary to higher level. It is the policy approved by the Cabinet of Indian Government proposed new curricular and pedagogical structure as 5+3+3+4 following the mother tongue or local language as medium of instruction with holistic and multidisciplinary approaches. This policy wants to focus various reforms in higher educational system also. The present study aims to describe the major highlights recommended in higher education and find out the probable benefits.

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Keywords: Higher Education, NEP 2020, Development of Indian Education.

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This article is a study on the growth of the IT sector after the implementation of Agile methodology. Agile methodology is an approach to software development that emphasizes collaboration, flexibility, and customer satisfaction. The study explores the benefits of Agile methodology in the IT sector, including increased efficiency, faster time-to-market, and improved quality of software products. The study also highlights the challenges faced in implementing Agile methodology, such as resistance to change and difficulty in scaling. The research methodology used in the study involved a review of literature and case studies of IT companies that have successfully implemented Agile methodology. The key findings of the study indicate that Agile methodology has had a significant impact on the growth and success of the IT sector. Companies that have adopted Agile methodology have experienced increased profitability, growth, and customer satisfaction. The article also discusses the success stories of IT companies using Agile methodology, such as Spotify and Google, and provides future implications and recommendations for the adoption of Agile methodology in the IT sector. These recommendations include continuous learning and improvement, integration with other processes, adoption in non-IT areas, focus on customer satisfaction, and balancing flexibility and structure.In conclusion, the adoption of Agile methodology represents a significant step forward for the IT sector, driving innovation, growth, and success. The article provides references and further reading materials for a comprehensive understanding of Agile methodology, its benefits and challenges, and best practices for its implementation and success in the IT sector.

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Agile methodology, IT sector, Software development, Collaboration, Customer satisfaction, Time-to-market, Quality.

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Automation is a need of time. With the increasing speed of life, the demand to perform tasks at a higher speed is being laid out too. This has ultimately led to a massive increase in the number of vehicles. To clean these vehicles there is a need for a proper washing system. The most common problem often encountered while cleaning these vehicles is time-consuming and overuse of water; one of the problems is overuse of water, in- country like the time there are still places where people don't get water for 10-15 days and we are wasting the water for the just car wash. time is a commodity that needs to be managed effectively and efficiently to maximize productivity. So, this project is developed to reduce the time to clean vehicles. In developed countries, automatic car washing system is already implemented and being used extensively but in developing countries like India, it's still uncommon and has a lot of potential for developing this system. In this automatic car washing project, we have used a conveyor belt on which the car will go through the various washing stages. When we press a switch conveyor belt on which the car is initially brought by a serviceman starts moving. Sensors are placed at the platform adjacent to the moving conveyor belt at different places for car detection. When the first sensor senses the car, the process is turned on and the conveyor starts moving. In this process, several stages are followed for the entire car washing named as soap water cleaning, brushing, clean water pouring drying. Hence the exterior of the car will be washed and this process is controlled by the PLC. Whether the exterior of the car is cleaned properly or not can be easily detected by the machine vision algorithm. in this, we have used the machine vision algorithm to check whether the car is cleaned or dusty before and after washing.

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Automation, car washing system, PLC, machine vision algorithm.

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In today's world of technology and due to speed running industries, the production rate has increased tremendously. Generally, manufacturing industries keep manufacturing same models with little variation in height, colour, weight, shape. And here sorting plays an important role. In such cases industries can't bare human errors for sorting these products. Thus it become necessary to develop Low Cost Automation (LCA) for sorting these products in accurate manner. Industrial automation mainly focuses on developing automations having low cost, low maintenance, long durability and to make systems user friendly as possible. Finally, here we have developed a LCA system for sorting the light objects on the basis of size variation using DC geared motors which is controlled by Programmable Logic Controller (PLC) and the conveyor in the system passes the object in front of sensors and thus sorting logic is decided.

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 Keywords

PLC, Low cost automation, Conveyor belt, Sorting, Object, Human, Sensor, Drive, Motor.

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