Experimental investigation on flow induced vibration excitation in the elastically mounted square cylinders

In this paper an experimental investigation is performed on a range of transverse gap ratios (0.5≤T/D≤4.5) between the cylinders arranged in side by side configuration. The pattern of the test cylinder motion, spectral diagram and amplitude are used to analyze the vibration excitation at different conditions such as free stream velocity, natural frequency of the test cylinder. From the results, for the spacing ratio of T/D= 0.5 it is observed that the cylinders gets excited beyond the critical velocity and vibrates in a spiral pattern with the line dominated spectrum, which implies that by having a similar frequency along with a phase shift, the characteristics behavior of the cylinder is observed to be like an oscillator with the cross wise and stream wise response. Besides that, it is also observed that the cylinders at higher spacing ratios (T/D= 4.5) producing minimum oscillation when compared to the smaller spacing ratios

A STUDY ON EMPLOYEES RETENTIONSTRATEGIES OF MANUFACTURING INDUSTRIES IN TAMILNADU

This research study explores the critical analysis of staff retention tactics used by Tamil Nadu, India's manufacturing sectors. Given the manufacturing sector's substantial economic contribution to the state, it is critical to comprehend and put into practise effective employee retention methods in order to maintain a qualified workforce and promote long-term organisational success. The purpose of this study is to examine the different retention tactics used by Tamil Nadu's manufacturing enterprises, as well as the effects they have on worker engagement and overall organisational success. The study's methodology entails a thorough analysis of the body of research on employee retention tactics in the manufacturing industry, as well as the primary collection of data from surveys, involving management, HR, and employee participants. The impact of employee perks, leadership philosophies, and company culture on employee retention in Tamil Nadu's manufacturing industry is also examined in this study. This study aims to offer important insights into the best retention techniques that may be adapted to the unique requirements and difficulties faced by Tamil Nadu's manufacturing industry through a methodical analysis of the data. The study intends to provide recommendations to improve employee retention methods and promote a work environment that is favourable to sustained employee commitment and productivity by identifying best practises and success factors. It is anticipated that the results of this study will add to the body of information already available on staff retention in the manufacturing sector, with implications for organisational growth, human resource management, and the long-term viability of businesses in Tamil Nadu

Functional and radiological outcome of surgical treatment of distal tibial fracture by minimally invasive percutaneous plate osteosynthesis technique

Background: Minimally invasive percutaneous plate osteosynthesis (MIPPO) is an established technique for fixation of fractures of the distal third tibia. Aim of our study was to manage extraarticular fractures of the distal third tibia by the minimally invasive plate osteosynthesis technique and follow them prospectively. Clinical and radiological outcomes were studied and clinical indications & efficacy of the procedure reviewed.Methods: From June 2018 to June 2019,25 patients of closed distal tibial fractures were operated by MIPPO technique with a distal tibial anatomical locking plate having 4.5 out of 5 proximal and 3.5 out of 4 distal screw holes. The follow up duration was for 1 year.Results: The mean fracture healing time was 17 weeks (range 16 to 32 weeks) and average The American orthopedic foot and ankle score was 88.2 out of a total possible 100 points. At last follow up, superficial infection occurred in 3 patients, deep infection in 1 patient, ankle stiffness in 1 patient, limb length discrepancy <1 cm in 1 patient and malunion in 2 patients.Conclusions: MIPPO technique provides good bone healing and decreases incidence of non-union and need for bone grafting. This technique should be used in distal tibia fractures where locked nailing cannot be done like fractures with small distal metaphyseal fragments, vertical splits, markedly comminute fractures

Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset

The rate of advancement in the field of artificial intelligence (AI) has drastically increased over the past twenty years or so. From AI models that can classify every object in an image to realistic chatbots, the signs of progress can be found in all fields. This work focused on tackling a relatively new problem in the current scenario-generative capabilities of AI. While the classification and prediction models have matured and entered the mass market across the globe, generation through AI is still in its initial stages. Generative tasks consist of an AI model learning the features of a given input and using these learned values to generate completely new output values that were not originally part of the input dataset. The most common input type given to generative models are images. The most popular architectures for generative models are autoencoders and generative adversarial networks (GANs). Our study aimed to use GANs to generate realistic images from a purely semantic representation of a scene. While our model can be used on any kind of scene, we used the Indian Driving Dataset to train our model. Through this work, we could arrive at answers to the following questions: (1) the scope of GANs in interpreting and understanding textures and variables in complex scenes; (2) the application of such a model in the field of gaming and virtual reality; (3) the possible impact of generating realistic deep fakes on society

Leiomyoma Of Urinary Bladder a Rare Entity: Series Of 3 Cases And Review Of Literature

Introduction: Leiomyoma of urinary bladder is a rare entity and comprises 0.43% of all bladder tumors. Here we present our series of 3 casesand the related review of literature. Methods: 3 cases of bladder leiomyoma presented over a period of 16 months in Osmania Medical Collegeand Hospital. Detailed history was taken, physical examination, routineblood, urine and radiological investigations were done. Patients weretreated by Trensurethral Resection (TUR) of the mass and histopathological analysis with Immunohistochemistry was done for all cases. Results:All 3 cases were females with mean age of 31.6 years. All cases wereendovesical type, mass near bladder neck and presented with obstructivesymptoms. Two cases presented with acute retention of urine. Radiological investigations in all patients suggested a possibility of leiomyoma andall cases had reduced urinary flow rates. Histopathology confirmed thediagnosis in all cases. No recurrence was found at one year of follow up.Conclusion: Leiomyoma of urinary bladder is a rare disorder which frequently occurs in middle aged females. Symptoms are related to its sizeand location, diagnosis is confirmed by histopathological analysis. Treatment is by surgery (mainly TUR). Prognosis of the disease is excellent

Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset

The rate of advancement in the field of artificial intelligence (AI) has drastically increased over the past twenty years or so. From AI models that can classify every object in an image to realistic chatbots, the signs of progress can be found in all fields. This work focused on tackling a relatively new problem in the current scenario-generative capabilities of AI. While the classification and prediction models have matured and entered the mass market across the globe, generation through AI is still in its initial stages. Generative tasks consist of an AI model learning the features of a given input and using these learned values to generate completely new output values that were not originally part of the input dataset. The most common input type given to generative models are images. The most popular architectures for generative models are autoencoders and generative adversarial networks (GANs). Our study aimed to use GANs to generate realistic images from a purely semantic representation of a scene. While our model can be used on any kind of scene, we used the Indian Driving Dataset to train our model. Through this work, we could arrive at answers to the following questions: (1) the scope of GANs in interpreting and understanding textures and variables in complex scenes; (2) the application of such a model in the field of gaming and virtual reality; (3) the possible impact of generating realistic deep fakes on society

Challenges and Approaches in Green Data Center

Cloud computing is a fast evolving area of information and communication technologies (ICTs)that hascreated new environmental issues. Cloud computing technologies have a widerange ofapplications due to theirscalability, dependability, and trustworthiness, as well as their abilityto deliver high performance at a low cost.The cloud computing revolution is altering modern networking, offering both economic and technologicalbenefits as well as potential environmental benefits. These innovations have the potential to improve energyefficiency while simultaneously reducing carbon emissions and e-waste. These traits have thepotential tomakecloud computing more environmentally friendly. Green cloud computing is the science and practise of properlydesigning, manufacturing, using, and disposing of computers, servers,and associated subsystems like displays,printers, storage devices, and networking and communication systems while minimising or eliminatingenvironmental impact. The most significant reason for a data centre review is to understand capacity,dependability, durability,algorithmic efficiency, resource allocation, virtualization, power management, andother elements. The green cloud design aims to reduce data centre power consumption. The main advantageof green cloud computing architecture is that it ensures real-time performance whilereducing IDC’s energyconsumption (internet data center).This paper analyzed the difficultiesfaced by data centers such as capacityplanning and management, up-time and performance maintenance, energy efficiency and cost cutting, realtime monitoring and reporting. The solution for the identified problems with DCIM system is also presentedin this paper. Finally, it discusses the market report’s coverage of green data centres, green computingprinciples, andfuture research challenges. This comprehensive green cloud analysis study will assist nativegreen research fellows in learning about green cloud concerns and understanding future research challengesin the field

Microsponges: A Promising Novel Drug Delivery System

Microsponge is recent novel technique for control release and target specific drug delivery system. More and more developments in drug delivery systems are being integrated to optimize the efficacy and cost-effectiveness of the therapy. Microsponges are polymeric delivery system containing porous microspheres having a size range from 5 to 300µm. Microsponge Delivery System (MDS) is a unique technology for controlled drug delivery. This review article mainly deals with Microsponge drug delivery along with its method of preparation, characterization, advantages and release mechanism of MDS. Microsponges are characterized by particle size, entrapment efficacy, true density, % drug content and % yield, dissolution studies, Resiliency, compatibility studies and in-vitro studies. Wide range of applications is also preferred to develop drug with enhanced safety and efficacy. Keywords: Microsponge, Porous microspheres, Control release, Colon