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Film Cooling in Gas Turbine and Nozzle
Full text linkA gas turbine is a rotating engine that generates its power through the flow of combustion gases. With either an axial or centrifugal compressor, air from the surrounding environment is drawn into the engine intake, where it is compressed and heated before being sent to combustion chamber. Every gas turbine engine has a nozzle as a standard part. Among its many responsibilities include propelling the engine forward, returning exhaust gases to the free stream, and regulating mass flow through the engine. When the power turbine\u27s exhaust exits, the nozzle is directly in the direction of the fumes. Simply put, nozzles are just tubes that allow hot gases to flow through them; they\u27re not much more complicated than that. The highest point on each of these delas is around 2500 kelvin. This research illustrates the film cooling method for gas turbine and nozzle longevity. For film cooling to work, the temperature of the airfoil and nozzle case must be decreased
Prevention of Phishing Attacks Using AI-Based Cybersecurity Awareness Training
Full text linkMachine learning has been described as an effective measure in avoiding most cyberattacks. The development of AI has therefore promoted increased security for most computer attacks. Phishing attacks are risky and can be prevented through AI-based solutions. This factor suggests the need for increased awareness of cybersecurity through AI. Developing awareness for most people will prevent these types of attacks. The research paper describes how the awareness of AI-based cybersecurity could ensure a reduction of phishing attacks. The paper, therefore, showcases the effectiveness of AI-based cybersecurity awareness training and how it may influence cyber-attacks
Establishing Discriminating Factors in Educational Institutions: A Gender Perspective
Full text linkIn our civic life, the social identity of women largely depends on gendered structuring and cultural underpinnings. The cruel reality is gender discrimination is still a pervasive concern for organizations, societies and nations. The quest for gender equality has become a global concern and an awakening field for policymakers. In this work, the authors have tried to identify the principal factors of gender discrimination in educational institutions in Odisha. The primary responses were collected through an online as well as a physical questionnaire from 193 respondents who participated in the study. The respondents are faculties of educational institutions offering professional and technical courses. The responses collected were subjected to exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The results revealed that the five principal factors such as ‘Decision Making’, ‘Career Management’, ‘Workplace Rights’, ‘Pay & Benefits’ and ‘Leadership’ were validated in the context of educational institutions. This work is a novel approach to factors affecting gender discrimination in educational institutions
Importance of students’ feedback for modifying course syllabus and revising Curriculum of UG Electronics and Telecommunication Engineering Programme
Full text linkThe goal of education is to create an environment that assists teaching and learning. Modification of courses, and Course Outcomes is necessary to cater to the changing needs of students and enhance their learning experience. Under academic, freedom to change the curriculum in resonance with industry needs and current trends makes the student more skilled, knowledgeable, and employable. Feedback is a traditional way of making improvements in the educational field. This paper gives direction on the use of Students’ feedback for revising the curriculum and modifying the Course Outcomes for the Undergraduate program in Electronics and Telecommunication Engineering. We have collected online feedback for course curriculum and course outcomes from students for each academic year. Responses from feedback which are feasible are used to revise the syllabus, and next structure. We discovered it as a very useful way of making students part of the syllabus and course design process
A VOICE CONTROLLED HOME AUTOMATION SYSTEM
Full text linkHome automation is the process of making the home appliances operate on the voice command or the movement. For the current research work the voice-controlled home automation is considered. In the current research work the main objective is to develop a voice-controlled home automation system. The appliances like light, fan and door have been considered for making them operate on voice command. For developing the project the ESP 8266 wifi module is considered along with servo motor, toy motor, light and fan. All of the appliances are configured by using the Blynk application and IFTTT server. Finally, Arduino IDE is used configure all of the devices and to sketch the code to the WIFI module to let the appliances run from a mobile device through google assistant
IMPROVED KERNEL FUZZY ADAPTIVE THRESHOLD ALGORITHM ON LEVEL SET METHOD FOR IMAGE SEGMENTATION
Full text linkUsing thresholding method to segment an image, a fixed threshold is not suitable if the background is rough Here, we propose a new adaptive thresholding method using level set theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image. An adaptive thresholding scheme using adaptive tracking and morphological filtering. The Improved Kernel fuzzy c-means (IKFCM) was used to generate an initial contour curve which overcomes leaking at the boundary during the curve propagation. IKFCM algorithm computes the fuzzy membership values for each pixel. On the basis of IKFCM the edge indicator function was redefined. Using the edge indicator function of a image was performed to extract the boundaries of objects on the basis of the presegmentation. Therefore, the proposed method is computationally efficient. Our method is good for detecting large and small images concurrently. It is also efficient to denoise and enhance the responses of images with low local contrast can be detected. The efficiency and accuracy of the algorithm is demonstrated by the experiments on the images. The above process of segmentation showed a considerable improvement in the evolution of the level set function
An Optimized Machine Learing Framework For Extracting Suicide Factors Using K-Means++ Clustering
Full text linkSuicide has emerged as one of the serious problems which should be eradicated from the society. People with suicidal thoughts restrict themselves by not expressing thoughts to the people around them. Studies have shown that people show more interest in expressing their thoughts over social media platforms. So, research has been conducted to identify people with suicidal ideation by analyzing the posts which they posted in social media platforms. Certain studies mined out new factors which influenced people to commit suicide, but those factors had certain drawbacks in it. This paper mainly focuses on overcoming those drawbacks in the factors. A new modified approach for extracting those risk factors is introduced as it can be used for future works related to suicidal ideation detection tasks. Statistical methods were imposed on the data to mine out the underlying characteristics of the features. K-Means++ clustering algorithm was implemented to extract the modified features. The modified features were given as an input for a testing classifier, and it attained an accuracy of 75.13%
Empirical analysis of dynamic load balancing techniques in cloud computing
Full text linkVirtualization, dispersed registration, systems administration, programming, and web administrations are all examples of distributed computing. Customers, datacenters, and scattered servers are just a few of the components that make up a cloud. It includes things like internal failure adaption, high accessibility, flexibility, adaptability, lower client overhead, lower ownership costs, on-demand advantages, and so on. The basis of a feasible load adjusting computation is key to resolving these challenges. CPU load, memory limit, deferral, and system load are all examples of heaps. Burden adjustment is a method for distributing the load across the many hubs of a conveyance framework in order to optimize asset utilization and employment response time while avoiding a situation where some hubs are heavily loaded while others are idle or performing little work. Burden adjustment ensures that at any one time, each processor in the framework or each hub in the system does about the same amount of work. This method may be initiated by the sender, the collector, or the symmetric sort (the blend of sender-started and recipient started types). With some example data center loads, the goal is to create several dynamic load balancing techniques such as Round Robin, Throttled, Equally Spread Current Execution Load, and Shortest Job First algorithms
Social, Ethical & Legal aspect of RWA (Resident Welfare Association) Management
Full text linkThere has been a sharp rise in the number of highrise buildings in almost all cities during the last 10 years and particularly after the declaration of “Smart Cities” by Government of India. So far as the business and management of infrastructure companies are concerned, it is needless to say that it is an established industry. However, after these high rise buildings become habitable, and are handed over to the housing societies or Resident Welfare Associations (Hereafter referred as RWAs), there are many issues and challenges faced by the apartment owners. The motivation behind the study of social, ethical and legal aspect of RWAs/Housing Societies of India is therefore taken up, and we have carried out some study while managing a society from its day-one management.
As on date, RWA management is a complex subject as it covers Security, Hospitality, Soft Services, Support Services, House Keeping, Technical Services such as Lift, Electrical Power and Pest Control Management Services. In fact, these facilities have to be managed with a fixed annual budget, collected through Common Area Maintenance (CAM) charges from all the residents. Many of us have the misconception that managing the society within the stipulated CAM (Common Area Maintenance) charges is the only challenge faced by the RWA office bearers, as collection of service changes is always a challenging issue. However, almost all of us forget to abide by the statutory compliances such as Minimum wages, ESI, EPF and GST rules of the government notified from time to time. In addition RWA should follow the norm of City Development Authority, Fire Safety Department, State Pollution Control Board and other statutory bodies, who issue the compliance certificates for the facilities available in the premises after due inspection, which is a mandatory requirement for community living. Therefore, we have made an attempt to highlight this area, so that more study can be carried out and we can have a better living
Effect of Ground Proximity on Aerodynamic Characteristics of NACA 4412 Airfoil
Full text linkGround effect plays a vital role in modulating the flow behavior over any streamlined body. The most widely used wing-in ground effect (WIG) aircrafts and seaplanes utilize this phenomenon in order to enhance the aerodynamic performance during the landing and take-off phases of flight. This paper investigates the aerodynamics of ground effect on a NACA 4412 rectangular wing without end plates. The experiment was conducted in a low-speed wind tunnel at Re=2×105 for the ground clearance of 1 and 0.5 of the chord, measured from the maximum thickness position on the airfoil. The pressure distribution over the chord length was recorded for α=3° and 6° to verify the effect of ground clearance during takeoffs. The results have shown to be in good accordance with the literature, as the coefficient of lift augmented with increase in ground proximity and the induced drag was minimized