Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction

With the continuous increase of internet usage in todays time, everyone is influenced by this source of the power of technology. Due to this, the rise of applications and games Is unstoppable. A major percentage of our population uses these applications for multiple purposes. These range from education, communication, news, entertainment, and many more. Out of this, the application that is making sure that the world stays in touch with each other and with current affairs is social media. Social media applications have seen a boom in the last 10 years with the introduction of smartphones and the internet being available at affordable prices. Applications like Twitch and Youtube are some of the best platforms for producing content and expressing their talent as well. It is the goal of every content creator to post the best and most reliable content so that they can gain recognition. It is important to know the methods of achieving popularity easily, which is what this paper proposes to bring to the spotlight. There should be certain parameters based on which the reach of content could be multiplied by a good factor. The proposed research work aims to identify and estimate the reach, popularity, and views of a YouTube video by using certain features using machine learning and AI techniques. A ranking system would also be used keeping the trending videos in consideration. This would eventually help the content creator know how authentic their content is and healthy competition to make better content before uploading the video on the platform will be ensured.Comment: The Paper has been ACCEPTED at the "2nd International Conference on Computing and Communication Networks(ICCCN-2022)". This paper will be published by AIP publishing and DOI will be issued later o

Bibliometric analysis on Hand Gesture Controlled Robot

This paper discusses about the survey and bibliometric analysis of hand gesture-controlled robot using Scopus database in analyzing the research by area, influential authors, countries, institutions, and funding agencies. The 293 documents are extracted from the year 2016 till 6th March 2021 from the database. Bibliometric analysis is the statistical analysis of the research published as articles, conference papers, and reviews, which helps in understanding the impact of publication in the research domain globally. The visualization analysis is done with open-source tools namely GPS Visualizer, Gephi, VOS viewer, and ScienceScape. The visualization aids in a quick and clear understanding of the different perspective as mentioned above in a particular research domain search

RESEARCH ON THE IMPACT OF GENERATIONAL CHANGE ON FAMILY BUSINESSES' CAPITAL STRUCTURE IN INDIA

Family businesses make a prominent contribution to economies all around the world. They are frequently regarded as critical to future economic advancements since they place a focus on producing wealth for future generations. Next-generation participation is critical to their success and survival. Family businesses also behave differently from non-family firms when making financial decisions. Despite a significant amount of research on family businesses, we still know little about the effect of generational change on capital structure, especially in the context of Indian family businesses. This study aims to address this shortcoming and explores this topic in the context of family-owned Indian firms. The study utilised an interpretive research philosophy and collected qualitative data from seven organisations through 14 semi-structured interviews with participants representing different generations. The data were then analysed using thematic analysis. The findings contribute to the existing literature as it shows that most family firms tend to use more equity finance after a new generation is added. It also shows that of the family businesses that switched to equity financing, the majority employed private equity rather than public equity. Data suggest every organisation gives different significance to elements affecting financial decisions, based on their objectives. The study highlights various elements affecting the financial decision like education and situation of crisis which creates a better understanding of the reasons that lead to a financial decision. This is a novel finding compared to the existing literature on this topic. Based on its findings, study recommends family firms to have an early introduction of new generation to the business, provide flexibility in decision-making, ensure clear division of control and develop a succession plan. The adoption of these recommendations will help to avoid intergenerational conflicts and ensure continued efficacy in financial decision-making in the long run. It can also nurture and develop the intra-family relationships. Future research is recommended to be more inclusive, with a greater variety of participants in different countries

Monitoring the health of urban greenery with terrestrial low-cost, mobile sensors

Urban forests and vegetation are fundamental for developing resilient cities. Thus, the effective management and protection of urban trees and greenery are essential. Nowadays, urban trees are experiencing atypical amount of natural and human-induced stresses which affects their functionality, productivity and survival. The current methods for monitoring the health of urban trees mainly comprises of manual inspection by arborists and remote sensing. However, all these methods are riddled with various challenges involving scalability, spatio-temporal resolutions and quality of assessment. The goal of this thesis was to develop a method which can autonomously measure the health of trees on a city-wide scale with high spatio-temporal resolutions at low costs.To achieve this goal, we first performed an in-depth survey and comparative analysis of the existing state-of-the-art techniques for tree health measurement, identified a research gap and based on this, developed a novel system to measure tree health autonomously from ground level in urban cities. The system can be deployed both in a drive-by sensing paradigm on moving vehicles such as taxis and garbage trucks or be carried by humans in a citizen science paradigm. A computer vision model developed using transfer learning and traditional image processing techniques were employed to fuse the data collected by low cost thermal and multispectral imaging sensors on the edge devices. The approach was evaluated through data collection experiments performed in Cambridge, USA. Comparison with parameters in ground truth datasets revealed several significant relationships. Thus, motivating various studies in the future along with potential large-scale deployment of this technique in cities and municipalities around the world.Electrical Engineering | Embedded SystemsComputer Scienc

Second Chance for a First Impression? Trust Development in Intelligent System Interaction

There is a growing use of intelligent systems to support human decision-making across several domains. Trust in intelligent systems, however, is pivotal in shaping their widespread adoption. Little is currently understood about how trust in an intelligent system evolves over time and how it is mediated by the accuracy of the system. We aim to address this knowledge gap by exploring trust formation over time and its relation to system accuracy. To that end, we built an intelligent house recommendation system and carried out a longitudinal study consisting of 201 participants across 3 sessions in a week. In each session, participants were tasked with finding housing that fit a given set of constraints using a conventional web interface that reflected a typical housing search website. Participants could choose to use an intelligent decision support system to help them find the right house. Depending on the group, participants received a variation of accurate or inaccurate advice from the intelligent system throughout each session. We measured trust using a trust in automation scale at the end of each session. We found evidence suggesting that trust development is a slow process that evolves over multiple sessions, and that first impressions of the intelligent system are highly influential. Our results echo earlier research on trust formation in single session interactions, corroborating that reliability, validity, predictability, and dependability all influence trust formation. We also found that the age of the participants and their affinity with technology had an effect on their trust in the intelligent system. Our findings highlight the importance of first impressions and improvement of system accuracy for trust development. Hence, our study is an important first step in understanding trust development, breakdown of trust, and trust repair over multiple system interactions, informing improved system design

Low-Invasive CO2-Based Visual Alerting Systems to Manage Natural Ventilation and Improve IAQ in Historic School Buildings

Children spend a large part of their growing years in schools, and as they are more sensitive to some pollutants than adults, it is essential to monitor and maximize the indoor air quality (IAQ) in classrooms. Many schools are located in historic and heritage buildings, and improving the IAQ, preserving the architectural features, poses a great challenge. The aim of the study is to evaluate the effectiveness of a low-invasiveness, low-cost, smart CO2-based visual alerting systems to manage natural ventilation and improve IAQ in historic school buildings. Indoor and outdoor parameters were monitored for three weeks in four schools with different levels of education (two classrooms per school; device installed in one only). Based on indoor CO2 concentration, air temperature and relative humidity, the device suggests when windows should be opened to ventilate. The comparison between the two classrooms show that the effectiveness of the device is highly dependent on the occupants: (i) reduction in the average CO2 concentrations of up to 42% in classrooms with frontal lesson and full occupancy, (ii) the device is not the most ideal solution for kindergarten due to the young age of the pupils, and (iii) it is more used during mild outdoor temperatures

Cardiovascular Outcomes of Hypogonadal Men Receiving Testosterone Replacement Therapy: A Meta-analysis of Randomized Controlled Trials.

OBJECTIVE: Investigate the impact of testosterone replacement therapy (TRT) on cardiovascular outcomes in hypogonadal men. METHODS: A meta-analysis of 26 randomized controlled trials (RCTs) involving 10,941 participants was conducted. Various clinical outcomes, including all-cause mortality, cardiovascular-related mortality, myocardial infarction, stroke, congestive heart failure, atrial fibrillation, pulmonary embolism, and venous thrombosis, were assessed. RESULTS: No statistically significant differences were observed between the TRT group and the control group in terms of these clinical outcomes. Sensitivity analysis and publication bias assessment supported the robustness of the findings. Meta-regression analysis found no significant associations between clinical outcomes and potential covariates, including age, diabetes, hypertension, dyslipidemia, and smoking. DISCUSSION: Previous research on TRT and cardiovascular events, with comparisons to studies like the TTrials, Vigen et al., Finkle et al., Layton et al., and Wallis et al., is provided. The significance of the systematic review and meta-analysis approach is emphasized, particularly its exclusive focus on hypogonadal patients. CONCLUSION: This study offers reassurance that TRT does not increase mortality risk or worsen cardiovascular outcomes in hypogonadal men. However, further research, especially long-term studies involving diverse populations, is essential to strengthen the evidence base and broaden the applicability of these findings

Low-Invasive CO₂-Based Visual Alerting Systems to Manage Natural Ventilation and Improve IAQ in Historic School Buildings

Children spend a large part of their growing years in schools, and as they are more sensitive to some pollutants than adults, it is essential to monitor and maximize the indoor air quality (IAQ) in classrooms. Many schools are located in historic and heritage buildings, and improving the IAQ, preserving the architectural features, poses a great challenge. The aim of the study is to evaluate the effectiveness of a low-invasiveness, low-cost, smart CO2-based visual alerting systems to manage natural ventilation and improve IAQ in historic school buildings. Indoor and outdoor parameters were monitored for three weeks in four schools with different levels of education (two classrooms per school; device installed in one only). Based on indoor CO2 concentration, air temperature and relative humidity, the device suggests when windows should be opened to ventilate. The comparison between the two classrooms show that the effectiveness of the device is highly dependent on the occupants: (i) reduction in the average CO2 concentrations of up to 42% in classrooms with frontal lesson and full occupancy, (ii) the device is not the most ideal solution for kindergarten due to the young age of the pupils, and (iii) it is more used during mild outdoor temperatures

Sex-Specific Differences in Clinical Outcomes in Patients With Coronary Bifurcation Lesions.

Coronary bifurcation lesions are frequent challenging findings during percutaneous coronary intervention (PCI). Contemporary evidence has explored the potential sex-specific differences in patients undergoing PCI. In the present meta-analysis, we compared clinical outcomes of patients undergoing bifurcation PCI between women and men. Using the random-effects method, we compared the clinical outcomes of patients with a coronary bifurcation lesion following PCI between women and men. The results were reported using relative risk (RR) and 95% confidence interval (CI). Baseline comorbidities and mean age were compared between the 2 studied groups. Four observational studies comprising 30,684 patients (8898 women and 21,786 men) were included in the meta-analysis. Women were significantly older than men with a relatively higher prevalence of baseline comorbidities. After using adjusted data from 2 out of 4 available studies, performing PCI for bifurcation lesions in women was not associated with an increased risk of mortality (RR 1.33, 95% CI, 0.78-2.29), myocardial infarction (RR 1.22, 95% CI, 0.41-3.61), target lesion revascularization (RR 1.06, 95% CI, 0.40-2.81), stent thrombosis (RR 0.99, 95% CI, 0.09-10.52), and stroke (RR 1.19, 95% CI, 0.64-2.22). Women were at higher risk of major bleeding compared to male counterparts (RR 2.23, 95% CI, 1.73-2.89). The present study showed no difference in the risk of adverse clinical outcomes except the risk of bleeding between genders with coronary bifurcation lesions. Future studies with adjustment of age and baseline comorbidities are needed to confirm these findings

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-