bluuebunny/crossref_metadata_2025 huggingface dataset:
Spatial structure analysis of tourism economy in Shaanxi province, China
Authors:   Technician of Yangquan Shangshe Erjing Coal Co., Ltd., Yangquan, China, et al. Gao
Published: May 2022

This paper uses the modified gravity model to measure the intensity of tourism economic connection in 11 prefecture-level cities in Shanxi Province from 2016 to 2020. From the perspective of the social network, the density and core-periphery area of the tourism economic network’s spatial structure are explored. The research shows that: From 2016 to 2020, the overall tourism economic connection in Shanxi Province shows a growing trend, and the differentiation phenomenon between the central region and the southern and northern regions is more obvious. There is an unbalanced spatial structure of the tourism economy in all prefecture-level cities in Shanxi province. On the whole, the network density shows a growing trend. The various indexes of Taiyuan, the capital city of Shanxi Province, are obviously better than other cities’ indexes. The number of core areas of the tourism economy changes little. These areas are closely connected but the strengthening trend is not obvious. The relations within the periphery region are not strong, and the connection between the periphery region and the core region is also weak. The connection of the regional tourism economy is strongly dependent on tourism resources endowment and transportation accessibility. The spatial structure of the tourism economy network is under the great influence of policy suggestions and planning. This study provides a certain theoretical basis for the formulation of tourism economic development strategy in Shanxi Province. The limitation is that the impact of COVID-19 on tourism development has not been specifically analyzed.
Translating Evidence into Practice: A Case Study of Extended Use of a Very Low Energy Diet for Treatment of Co-Morbid Obesity and Chronic Disease
Authors:   The Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia, Harper Claudia , Seimon Radhika ,   The Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia, Yee Brendon ,   CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Australia, Sainsbury Amanda ,   School of Human Sciences, Faculty of Science, The University of Western Australia, Crawley, Western Australia, Australia, Cayanan Elizabeth ,   Faculty of Medicine and Health, The University of Sydney, Susan Wakil Health Building, NSW, Australia
Published: May 2022

We report the case of a 30-year-old male with significant obesity (body mass index 47 kg/m2) with co-existing moderate obstructive sleep apnoea, hypertension, hypercholesteremia and hypogonadotropic hypogonadism, who was treated with a very-low-energy diet (VLED) and lifestyle modification programme for 12 months. The patient lost weight throughout the entire treatment period (average weight loss was 2.1 kg/week, for a total of 42.7 kg), and showed marked improvement in co-morbidities and no adverse effects. This case demonstrates that prolonged (5-month) use of a VLED, under close medical supervision, is safe and effective in certain patients with obesity.
Digital Interventions for Emotion Regulation in Children and Early Adolescents: Systematic Review and Meta-analysis
Authors: Reynard Sally , Dias Joao , Mitic Marija , Schrank Beate , Woodcock Kate Anne
Published: May 2022

Background

Difficulties in emotion regulation are common in adolescence and are associated with poor social and mental health outcomes. However, psychological therapies that promote adaptive emotion regulation may be inaccessible and unattractive to youth. Digital interventions may help address this need.

Objective

The aim of this systematic review and meta-analysis was to synthesize evidence on the efficacy, feasibility, and acceptability of emotion regulation digital interventions in children and early adolescents aged 8 to 14 years.

Methods

Systematic searches of Web of Science, MEDLINE, PsycINFO, EMBASE, Education Resources Information Centre, ACM Digital Library, and IEEE Xplore up to July 2020 identified 39 studies, of which 11 (28%) were included in the meta-analyses (n=2476 participants). A bespoke tool was used to assess risk of bias.

Results

The studies evaluated digital games (27/39, 69%), biofeedback (4/39, 10%), virtual or augmented reality (4/39, 10%), and program or multimedia (4/39, 10%) digital interventions in samples classified as diagnosed, at risk, healthy, and universal. The most consistent evidence came from digital games, which reduced negative emotional experience with a small significant effect, largely in youth at risk of anxiety (Hedges g=–0.19, 95% CI –0.34 to –0.04). In general, digital interventions tended to improve emotion regulation, but this effect was not significant (Hedges g=0.19, 95% CI –0.16 to 0.54).

Conclusions

Most feasibility issues were identified in diagnosed youth, and acceptability was generally high across intervention types and samples. Although there is cause to be optimistic about digital interventions supporting the difficulties that youth experience in emotion regulation, the predominance of early-stage development studies highlights the need for more work in this area.
Patients’ Experiences Using a Mobile Health App for Self-Care of Heart Failure in a Real-World Setting: Qualitative Analysis (Preprint)
Authors: Madujibeya Ifeanyi , Lennie Terry A , Pelzel Jamie , Moser Debra K
Published: May 2022

BACKGROUND

Publicly available patient-focused mobile health (mHealth) apps are being increasingly integrated into routine heart failure (HF)–related self-care. However, there is a dearth of research on patients’ experiences using mHealth apps for self-care in real-world settings.

OBJECTIVE

The purpose of this study was to explore patients’ experiences using a commercially available mHealth app, OnTrack to Health, for HF self-care in a real-world setting.

METHODS

Patient satisfaction, measured with a 5-point Likert scale, and an open-ended survey were used to gather data from 23 patients with HF who were provided the OnTrack to Health app as a part of routine HF management. A content analysis of patients’ responses was conducted with the qualitative software Atlas.ti (version 8; ATLAS.ti Scientific Software Development GmbH).

RESULTS

Patients (median age 64, IQR 57-71 years; 17/23, 74% male) used OnTrack to Health for a median 164 (IQR 51-640) days before the survey. All patients reported excellent experiences related to app use and would recommend the app to other patients with HF. Five themes emerged from the responses to the open-ended questions: (1) features that enhanced self-care of HF (medication tracker, graphic performance feedback and automated alerts, secured messaging features, and HF self-care education); (2) perceived benefits (provided assurance of safety, improved HF self-care, and decreased hospitalization rates); (3) challenges with using apps for self-care (giving up previous self-care strategies); (4) facilitators (perceived ease of use and availability of technical support); and (5) suggested improvements (streamlining data entry, integration of apps with an electronic medical record, and personalization of app features).

CONCLUSIONS

Patients were satisfied with using OnTrack to Health for self-care. They perceived the features of the app as valuable tools for improving self-care ability and decreasing hospitalization rates. The development of apps in collaboration with end users is essential to ensure high-quality patient experiences related to app use for self-care.
Mobile Health Applications as a Means to Patient-Centered Care: A Review of Rheumatoid Arthritis Applications for Engagement and Activation (Preprint)
Authors: Cozad Melanie , Crum Marissa , Tyson Hannah , Fleming Perry , Stratton Jeanine , Kennedy Ann Blair , Lindley Lisa C. , Horner Ronnie D.
Published: May 2022

BACKGROUND

Rheumatoid arthritis (RA) is highly dynamic and individualized disease in terms of its patterns of flare ups in symptoms and periods of remission. Patient-centered care (PCC) aligns patients’ lifestyle goals and their preferences for managing symptoms and side-effects with the selection of therapies appropriate for disease management. Mobile health (mHealth) applications hold the potential to engage and activate patients in PCC. mHealth apps can provide features that increase disease knowledge, collect patient-generated health indicators and behavioral metrics, and highlight goals for disease management. However, little evidence-based guidance exists as to which apps contain functionality essential for supporting the delivery of PCC.

OBJECTIVE

This study systematically evaluated United States-based, RA mobile application features to assess functionality to facilitate engagement and activation related to PCC.

METHODS

A systematic search of mobile applications on two major United States app stores, (Apple App Store and Google Play) was conducted from June 2020 to July 2021 to identify apps designed for use by patients with RA using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Reviewers conducted a content analysis of mobile app features to evaluate their functionality for patient engagement and activation. Engagement and activation were assessed using the Mobile Application Rating Scale (MARS) and social cognitive theory, respectively. Apps were ranked by their ability to facilitate PCC care along each dimension: engagement and activation.

RESULTS

A total of 202 mobile applications were initially identified, and 20 applications remained after PRISMA guidelines were applied. Two applications emerged with the greatest ability to facilitate PCC. Both applications were scored as having acceptable or good patient engagement according to the MARS. These two apps also had high patient activation according to social cognitive theory with many features within those apps representing theoretical constructs such as knowledge, perceived self-efficacy, and expectations about outcomes that support behavioral management of RA.

CONCLUSIONS

We found very few mobile applications available within the United States that have functionality that both engages and activates the patient to facilitate PCC. As the prevalence of mobile applications expands, the design of mobile applications needs to integrate patients to ensure their functionality promotes engagement and activation. More research is needed to understand how mobile application use impacts patient engagement and activation, and ultimately, treatment decisions and disease trajectory.
Will Academic Publication Improve the Quality of Doctoral Dissertation?
Authors: Yongjie Liu , Yuemeng Xu
Published: May 2022

This article employs the regression analysis on the relation between the quality of doctoral dissertation and the number and quality of academic publication during the doctoral study as well as the time of first publication. The results indicate that the more the number of academic articles published in core journals, the higher the quality of the articles and the later the time of first academic publication, the more likely the Ph.D. candidates are to write high-quality dissertations.
Perception of Substance Use among In-School Adolescents and Key Informants in Gombe State, Nigeria
Authors: Mohammed Amina , Envuladu Esther Awazzi , Sulieman Maimuna , Okoh Elizabeth Onyi , Raji Ismail A , Rasaki Aliu , Girbo Ahmad
Published: May 2022

Background: Substance use has gradually become a global problem resulting in negative effect on the physical, mental and social wellbeing of individuals. This study aimed to determine the perception of adolescents and key informants on substance and illicit drug use in order to control this menace.Methods: A cross-sectional study design employing qualitative method of data collection. Focused Group Discussions (FGDs) and Key Informant Interviews (KIIs) were conducted. All data generated were collated and analysed using content analysis. Results: The key informants reported that peer influence, male sex and having broken homes were factors that were responsible for substance use. Adolescents also reported that easy access to these substances, the zeal to perform better in school, ability to have more fruitful relationships and ability to confront their parents were some of the reasons they engaged in substance use. Conclusion: This study has therefore implied that adolescents in school have easy access to and engage in substances despite being aware of the complications as it is mostly done to address their social needs.Recommendation: It is therefore recommended that periodic mental health screening should be conducted for adolescents with the support of their parents and guardians in line with school health services in order to identify and manage those with mental problems that could predispose them to use of substances.
Student Satisfaction: Analysis of the Equity students and student satisfaction at the Higher education- Implementation of Relevant Education
Authors: Macedo Maria Erilucia Cruz
Published: May 2022

This study's objective was to investigate the connections between staff perceptions of equality and the levels of student contentment at private institutions in the Kurdistan area of Iraq. Specifically, the researchers were interested in the following: In order to collect data, a face-to-face survey was administered to 119 students from five private institutions located in the Kurdistan region of Iraq. According to the findings, there is a significant and favorable relationship between affirmative action and student satisfaction at private universities in the Kurdistan region of Iraq. On the other hand, there is no significant and favorable relationship between embracing diversity and student satisfaction at these universities.
The Application of Slow Release NPK Fertilizer on Inceptisols to Changes of Soil Chemical Properties and Growth of Sweet Corn (Zea mays L. saccharata).
Authors: Hakim Fardian Khairul , Sofyan Emma Trinurani , Sudirja Rija , Joy Benny , Yuniarti Anni , Herdiyantoro Diyan
Published: May 2022

Effort to increase the efficiency of fertilizer use, reduce loss of nutrients in the soil due to leaching, evaporation and reduce residues which can be one of the causes of soil damage, slow release fertilizer is needed. This slow-release fertilizer can optimize plant growth and production as well as nutrient absorption by plants because the release of nutrients is according to the time and amount needed by the plant, while fertilization costs can be reduced because this type of fertilizer is only applied once in a growing season. The experiment was carried out to determine the effectiveness of inorganic fertilizers (NPK) which are slow release with various types of coating percentages to help provide nutrients slowly for sweet corn to grow and produce optimally and reduce environmental pollution due to excessive fertilizer application on the soil. The pot experiment was carried out using a Randomized Block Design (RBD) which consisted of four treatments with the percentage of slow release fertilizer (SRF) i.e. 0%, 3-4%, 5-6% and 7-8%. Each treatment was repeated six times. The results showed that in 60 days after application of slow release NPK fertilizer gave the best effect for improving the chemical properties of Inceptisol (N-total, P-potential, and K-potential), by releasing the entire content of 75.03%. Slow Release NPK fertilizer with 0% coating percentage gave the best effect on the chemical properties of Inceptisol and increased growth (plant height and stem diameter) of sweet corn (Zea mays L. saccharata).
A Comprehensive Review and Update on Epidemiology, Symptomatology and Management of Nontuberculous Mycobacteria (NTM)
Authors: Kalpana T. , Mugunthan M. , Joseph Noyal Maria , Ellappan Kalaiarasan
Published: May 2022

Nontuberculous mycobacteria (NTM) are free-living organisms ubiquitously present in the environment. In recent times, NTM gained much importance due to the increase in incidence globally. They are potential agents in causing both pulmonary and extrapulmonary infections in both immunocompromised and immunocompetent individuals. The problem arises when the possible NTM cases are misdiagnosed as drug-resistant tuberculosis (DR-TB). Hence, it is essential to correctly identify the NTMs causing disease due to two major reasons. One is to prevent clinicians from starting anti-tuberculous drugs and the other is that treatment regimen differs for certain NTM from tuberculosis. Apart from conventional methods like smear microscopy, culture, in the current era newer diagnostic modalities like matrix-assisted laser desorption of ionization-time of flight mass spectrometry (MALDI TOF MS), line probe assay, genomic sequencing, are used in referral laboratories which allows identification and speciation of the organism. A thorough literature search was done in PubMed, Google Scholar, Cochrane Library, Embase, Scopus on nontuberculous mycobacteria. The search keywords include nontuberculous mycobacteria, atypical mycobacteria, case reports, and original articles on NTM. In this review, we have summarised the current knowledge on epidemiology, pathogenesis, clinical features, and treatment of NTM.
Conceptual Design of 13-Seater STOVL Aircraft for Rural Air Mobility in Nepal VAAYU YAAN
Authors: Kandel Pradeep , Shah Rakesh Kumar , P Dr. Karunakaran , Pandit Sumit , Yadav Ajay Kumar
Published: May 2022

Abstract: At Present, in Aviation industry there is a strong and rapid growing interest in the development of Urban/Rural Air Mobility (U/RAM) networks, which are aerial transportation systems in, and around major metropolitan areas and rural hilly region where less possibilities of operating big passenger aircraft to cover short distance in challenging geographical location. STOVL capabilities for fixed-wing aircraft is one application of this technology. For rural passenger transport missions in remote area of Nepal, it is risky and difficult during landing in Hilly and Himalayan region due to geographic land structure and slope runway to operate big size passenger or cargo aircraft. Hence, the sole aim of this paper is to present the practical alternative to these problems in the early days of rural air transportation in aviation industries in Nepal. Here, we discuss about the air accidents that occurred in Nepali sky and along with their reason so we decided to try our level best to come up with solution i.e., our proposed design VAAYU YAAN. This paper clarifies the main motive of deploying VAAYU YAAN over conventional aircrafts. It is designed in a such a way that it can solve the problem of fatal accidents in aerial transportation in Hilly and Himalayan region faced as result of topographical difficulties, slope and small runway issues along with air traffic problems and helps in enhancing the public transportation all over the country for regional mobility due to short takeoff and vertical landing capacity. As a result of this feature, due to less risk in mobilization of aerial vehicle in Hilly and Himalayan places, people across the country will be connected and benefited. Keywords: VAAYU YAAN, STOVL, Hilly and Himalayan air mobility, Conceptual Design, Topographical challenges etc.
Portable Bricks Transfer Conveyor Belt
Authors: Shete Dewang N. , Dhole Akhilesh N. , Sarode Nakul P. , Chaudhari Abhijeet P. , Bopche Shubham R. , Ingle Rushabh R. , Dandge Umakant A. , Kherde Prof. Nachiket P.
Published: May 2022

Abstract: In the process or manufacturing industry, raw materials and products need to be transported from one manufacturing stage to Another Material handling equipment are designed such that they facilitate easy, cheap, fast and safe loading and unloading with least human interference. For instance, belt conveyor system can be employed for easy handling of materials beyond human capacity in terms of weight and height. During the construction of slabs in civil structure, the continuous supply of construction material is needed. This is usually done with the help of labours, sometimes; a temporary material lift is fabricated for this. Both this process is labor intensive and costly. In this project we are undertaking design of material handling system which can supply construction material continuously to the top end of the construction site, and also to ensure the mobility of this system. For more than 200 years, belt conveyors are in use in many industries, especially in mining, cement, steel and agricultural industries. Belt conveyors have had an increasing importance and use during the past century. Today, they have the significant role in mining, cement factories, grain manipulation, etc. By time, applications of transporting materials from one point to another extended its boundaries; by requiring longer transfer distances, much faster speeds and much higher capacities.
A Decentralized Asset Tokenization System using Ethereum
Authors: Badgujar Hrushikesh , Patil Akash , Rane Niraj , Apte Yash , Avatade Prof. Mohini
Published: May 2022

Abstract: Real estate is one of the most trusted investments that people have preferred. It provides a steady source of income which can be in the form of rent as well as lease. There are a number of advantages, but one of the key disadvantages of real estate investments is illiquidity. Although the global real estate investments are twice the size of investments in the equity markets, the number of investors in the real estate market is remarkably lower. Blockchain technology has real potential to solve the issues of illiquidity and transparency, and most importantly, it opens this very market to the retail investors as well. By creating Security Tokens, which are backed by real-world assets, real estate can be made more liquid with the help of Special Purpose Vehicles. These security tokens, which represent fractional ownership of the real estate can be traded by a trader / investor and these tokens can be listed on legitimate secondary exchanges. The robustness of Smart Contracts can be very efficient in transferring of tokens and also provide a seamless distribution of earnings amongst the investors / traders. This work describes Ethereum blockchain based solutions has the potential to make the existing Real Estate investment system much more efficient and reliable. Keywords: Tokenization , Blockchain , Fungible Assets, Tokens, Special Purpose Vehicle, Smart Contracts, Liquidity, Security Tokens,
Fake Reviews Detection Using Multidimensional Representations with Fine-Grained Aspects Plan
Authors: B. A Mr. Abhale , M. K. Miss. Bachhav , Y. P. Miss. Patil
Published: May 2022

Abstract: As the trend to shop online is growing day by day and lot of people are interested in purchasing the products of their need from the online stores. This way of shopping does not take a lot of time of a customer. In this case reviews on online websites play a important role in sales of the product because people try to get all the pros and cons of any product before they buy it. Most of the people needs genuine information about the product while online shopping. Before spending their money on particular product can analyse the various comments in the website. In this scenario, they did not recognize whether it may be fake or genuine. Customer place the order for particular product only by considering the reviews of that product. Here, it might be possible that reviews are fake. Now here query is which are fake reviews? Fake reviews may be good or bad compliment on the products. To detect such type of reviews we have developed the system. In this research, the dataset of different fake reviews provided by Flipkart are considered where reviews sentiments are included and using the LOGISTIC REGRESSION CLASSIFIER the reviews are classified into two categories i.e. fake and genuine. So user can save his/her time only by reading genuine reviews and gives accuracy about the product. Keywords: Fake reviews, review sentiment, logistic regression classifier, detection, feature extraction, web scrapping.
Making of Paver Blocks With the Help of Demolished Building Waste
Authors: B Miss. Kanchan Aachat , Kapadnis Mrs. Vaibhavi , Borse Miss. Tanishqua , Nigal Mr. Akash , Katkade Miss. Priyanka , Bahmre Miss. Dipti , Ahire Mr. Gaurav
Published: May 2022

Abstract: Now a days threr is a significant world-wide interest to solve the environmental problems caused by industrial waste such as waste generated from demolished structure. For making sustainable devolopment by using these waste materials for manufacturing of paver blocks. Many manufatrures were making paver blocks by using cement and various ingredients. This technology has been introduced in Indian construction activities, a decade ago, for specific construction of various floorings namely footpaths, parking areas etc. but now being adopted extensively in different uses where the conventional construction of pavement using the demolished building waste can be made to make green concrete paver blocks. Due to rapid urbanization there is a great increase in building construction, so is the demolition. There is no proper disposal of the demolition waste. About 530 million tons of C&D waste is generated annually. But only a few amounts of demolished concrete is recycled or reused. In this study, experimental investigations have been carried out to evaluate the effect of complete replacement of fine aggregate by demolition waste on compressive strength, which is compared with a conventional block. The concrete blocks were made in M20 mix. Further, the test was carried out in concrete paver block, in M40 mix design. The concrete paver blocks show 91% strength attainment at 28 days and it is only a marginal deterioration in the compressive strength. Therefore, the concrete blocks made with demolition waste can be used in low load bearing pavements. Keywords: Demolishen, Paver blocks
A Review of Common Ailments Possibility Using Machine Learning
Authors: Sameer Mohammad , . Omjee , Gupta Raghav , Tyagi Ritik , Singh Swapna
Published: May 2022

Abstract: Machine learning in healthcare helps humans to process large and complex medical datasets and then analyze them into clinical insights which can help physicians in providing better medical care. Therefore, machine learning, when implemented in the medical field can lead to increased patient satisfaction. In this research, we will try to implement the functionalities of machine learning in healthcare in a single system. Health care can be made smart with the help of machine learning. Many cases can occur when the early diagnosis of an ailment is not within reach, So, their ailment prediction cannot be effectively implemented. As widely said “Prevention is better than cure”, prediction of diseases would lead to early prevention of occurrence of disease. Medical Staff are often overworked in the medical field and hence the diagnosis becomes prone to human errors and negligence. Patients should be given treatment and diagnosis that are accurate and precise. Mistreatment may result in worsening the condition of the patient and hence the need for precise diagnosis. Therefore, the application of machine learning in disease prediction is considered in this paper as the best practice to facilitate a better healthcare system and provide better treatment to a patient as soon as possible. This paper majorly focuses on the development of a web app that would work on symptoms collected from the user and medical data and store it in the system. This data then will be analyzed using different machine learning algorithms to deliver results with maximum accuracy.
A Survey on Use of Non-Recyclable Waste in Construction
Authors: Chafekar Prof. B. H. , Kamble Mr. Suhan , Jadhav Mr. Vedant , Dhankawade Mr. Arya , Doshi Mr. Sujal
Published: May 2022

Abstract: Plastic waste is becoming extremely threatening to the environment due to their high quantities generated which pose serious harm to both the environment and its inhabitants. A major victim of this menace is the marine environment. Plastic wastes generated on land find their way to water bodies where they cause detrimental effects such as flooding and poisoning of the animals in the marine ecosystem. The plastics in the marine environment, which are ingested in fish, are also deleterious to human health if such fish are consumed. Cancer is a major disease that emanates as a consequence. In order to find an effective way to manage these wastes and improve the sustainability of our environment, this study, therefore, explores various approaches to recycling plastic wastes into new products. The critical threat of the presence of plastic wastes in our marine environment is also presented. The limitation of the use of plastic waste for construction applications alongside the prospects is discussed. It is concluded that the use of plastic wastes for construction applications will improve the sustainability of the environment significantly, and also serve as a reliable source of materials for construction purposes. In addition, the use of recycled plastic wastes as a component in cementitious composites has been found to be the most beneficial as it can be used to replace all solid components of the composite. Finally, areas for further studies are also presented. Keywords: Construction, Recycling, Plastic waste, Sustainability, Product development, Reuse.
Smart Surveillance
Authors: Singh Sandeep , Jain Priyansh , Kesarwani Sneha , Tiwari Vanshi
Published: May 2022

Abstract: Every individual in today's society has a need for a safe and reliable system. The most commonly used closed-circuit television (CCTV) or video surveillance systems are being implemented everywhere: hospitals, warehouses, parking lots, and buildings. However, this highly effective system has a cost disadvantage. Therefore, a cost-effective system is required. This project proposes to use a security camera with night vision using OpenCV. This is a cost-effective method. Images are captured and processed frame by frame. When a person is detected, the image is saved and an email is sent. The accuracy of this system is about 83%. It also uses the improved properties of the built-in camera. So the image is captured by the camera and sent to processing for face and person detection using OpenCV. Then, whether the detected person is known (visitor) or (stranger) () the detected face is compared against the database, and based on the output an email is generated and sent to the user. Security cameras can be controlled by custom AI. assistant. AI features include turning security cameras on and off with voice control. Accordingly, a low-cost security system can be provided. Keywords: OpenCV, Computer Vision, Tkinter, CCTV, Surveillance, Noise, Motion Artificial Intelligence
Underground Cable Fault Detection Device Using Microcontroller
Authors: Inampudi Srilakshmi , T. B. Rajitha , Sawant Kavita , Gaur Lovely
Published: May 2022

Abstract: A fault can be defined as any event that interferes with the normal flow of current. Generally, electrical power systems are exposed to the occurrence of any type of contingency, which may be external or internal. Underground cables are commonly used for transmission and distribution of power particularly in cities. Faults in underground cables hamper the continuous supply of power to industrial facilities and households. This paper details different types of faults commonly occur in underground cables and a device has been developed and tested, using ohm’s law principle, for detecting underground faults. This system uses an Arduino microcontroller board and a rectified power supply. Here the current sensing circuits, made with a combination of resistors, are interfaced to Arduino microcontroller board to help of the internal ADC device for providing digital data to the microcontroller representing the cable length in kilometers and displayed on LCD display. Keywords: Underground Cable, Fault Location, Fault Detection, Microcontroller, Power Transmission
AI Integrated Vehicular Robot Having Accident Prevention System from Static Obstacles
Authors: Mansuri Arif Ali , Singh Aditi , Singh Manas , Goel Ujjawal
Published: May 2022

Abstract: Transportation plays an increasingly vital role in our lives these days, and its advancement has made our lives much easier. However, in recent years, we have seen people attempt to circumvent traffic signals, resulting in devastating road accidents and fatalities. Dozing and alcohol use produce intrusiveness, necessitating immediate action before a mistake occurs. In this study, a prototype is created utilising an Arduino Uno, a camera, and ultrasonic sensors for monitoring, with the goal of preventing accidents and providing drivers with safety aid.[10]. For recognising the front side and averting an accident, the system uses Internet of Things, machine learning, and artificial intelligence (AI) in automobiles. Several lives have been saved by vehicles stopping whenever they perceive a red light or a stationary obstruction in front of them, as well as warning the driver via a sound system. The device has been put to the test, and the findings demonstrate that it is efficient and effective. Keywords: Arduino Uno, Camera, Machine Learning, Artificial Intelligence, Ultrasonic sensor
Bicep Curl Count: Computer Vision Based Counting
Authors: Goel Jatin , Jain Harshita , Kaur Prabhjot
Published: May 2022

Abstract: Gym is a place which is mostly used by everyone these days. It is important to have a good trainer in order to guide you so that you can avoid injuries. Gym machines are getting upgraded at a high pace like Flexnet, which provides us with a AI based virtual assistant. Virtual assistant is used by mostly everyone in daily life like while walking to count steps, or the use of SIRI or ALEXA which are also an example of virtual assistant. These assistants are required in gym to count our repetitions while we are exercising. So this project uses MediaPipe and its inbuilt libraries with the help of Computer Vision to get the best result. With the help of this project we are marking the various coordinates of our body and then calculating the angle of our left arm to measure our arm angle and then counting the repetitions of it. Keywords: AI, Virtual Assistant, ALEXA, SIRI, Repetitions, Computer Vision.
Travelogue: A Travel Application using MERN and Augmented Reality
Authors: Shah Sahil , Rajput Maheshsing , Mumbrawala Zaman , Ghodke Abhishek , Shinde Prof. Sagar , Dhawale Prof. Anand
Published: May 2022

Abstract: Now a days web application plays a vital role from ordering food from a restaurant, ordering any electronic stuff or anything from web apps, watching movies, book a seat for a movie theatre, for study, download pictures from the internet, etc. and MERN stack is one of the most popular JavaScript stacks used for easier and faster deployment of full-stack web application comprising backend, frontend and database components. Travel enthusiasts have always desired for traveling fascinating places and archiving their memorable experiences. Currently, there are a wide range of travel based web applications. This paper aims at exploring features that could be integrated with travel applications for offering customizable user experience. Further, the paper discusses the prevailing drawbacks of the existing travel applications and looks forward for embracing modern features to make travel applications accessible. Currently there’s no simple standalone platform where people can share their travel experiences, receive suggestions for places to travel and recommend travel places to their dear ones. So we came up with an idea to build a full stack web application where folks can share their journey through images and location. That way it won’t be a tedious process anymore to surf the web and head on to travel. Keywords: Augmented Reality, Chatbot, MERN Stack, Web Application
Implementation of health cycle using VR and IoT
Authors: Bathla Saumya , Vishwakarma Ravi Kumar , Tandon Pulak
Published: May 2022

Abstract: This paper presents the implementation of Health Cycle using Virtual Reality (VR) and Internet of Things (IoT). A prototype system is developed for interactive indoor cycling. The methodology will inspire the people to experience and visit different places while exercising, improving their health and stamina. In our fast forward lives, we need to have some sort of physical activity. The manuscript is presenting a developed methodology and it is possible uses for everyone to take care of themselves in an interesting manner. The methodology used is the combination of software and hardware to work efficiently and to provide an immersive experience. The methodology is conducive to the health of the community without being monotonous. Keywords: WHO, COVID, NODE MCU, VR, IR, UI, IOT
Social Distance Detection with the Help of Deep Learning
Authors: Pitlewad Abhijeet , Payghan Pravin , Uttekar Omkar , Pandit Rutuja
Published: May 2022

Abstract: This report presents a strategy for social distancing detection using deep learning to judge the gap between people to mitigate the impact of this coronavirus pandemic. The detection tool was developed to alert people to keep up a secure distance with one another by evaluating a video feed. The video frame from the camera was used as input, and therefore the open-source object detection pre-trained model supported the YOLOv3 algorithm was employed for pedestrian detection. Later, the video frame was transformed into top-down view for distance measurement from the 2D plane. The gap between people may be estimated and any noncompliant pair of individuals within the display are going to be indicated with a red frame and line. The proposed method was validated on a pre-recorded video of pedestrians walking on the road. The result shows that the proposed method is ready to see the social distancing measures between multiple people within the video. The developed technique may be further developed as a detection tool in realtime application. Keywords: CNN, Object detection, YOLO, Artificial intelligence, Social distancing
Comparative Analysis of Lateral Loads Resisting System for RCC Structure
Authors: Shrirame Sharad , Dhenge Prof. Sanjay , Sawai Prof. Girish
Published: May 2022

Abstract: This research work focuses on comparison of seismic analysis of G+12 story buildings stiffened with shear wall at various locations. The performance of the building is analysed in Zone II, for Mumbai city. This research paper includes understanding the main zone factor that tends the structure to perform poorly during lateral moments caused by earthquake in order to achieve their appropriate behaviour under future earthquakes. The analysed structure is symmetrical, G+12, Ordinary RC moment-resting frame (OMRF). Modelling of the structure is done by using staad proV8i software. The Time period used for the seismic calculations of the structure in both the direction is achieved from the software and as per IS 1893(part I):2016 seismic analysis has conducted. The Lateral seismic forces of RC frame are carried out using equivalent static method as per IS 1893(part I): 2016. The purpose of present work is to understand that the structures need to have suitable Earthquake resisting features to safely resist large lateral forces exerted on structure during lateral movement of structure. Shear walls are efficient (model no.3), In terms of effectiveness in minimizing lateral movement and damage caused due to the earthquake in structure the conventional frame system also provides the resistance to structure but it is unable to minimise the damage caused by the earthquake in structure. A comparative analysis is done in terms of Base shear, Displacement, Axial load, Moments in Z direction in columns and maximum bending moments in beams. Keywords: Stadd-pro, seismic excitation ,ordinary RC frame structure
Subsequent Frame Prophecy
Authors: Diwan Manav , Taparia Shyam , Tayal Kashish , Jha Sakshi
Published: May 2022

Abstract: Future frame prediction project aims at predicting future frames of a video given previous frames. If ‘n’ frames are given into the model (n being 19 in our case) our model predicts the n+1th frame in the sequence (i.e., 20th frame). The model used for prediction is a deep learning model - GAN (Generative Adversarial Model). The Generative adversarial model has 2 components: the generator which generates the 20th frame and the adversary (Critic) which compares the outputs of the generator with real outputs. The purpose of this comparison is to train both the generator and the critic in a cyclic fashion to the point where the generator can create almost real-looking outputs. Complex systems like aiming machines,self-driving cars, etc require a good level of correct future prediction to make their outputs correct. We aim at creating a common prediction model which can be generalized for any task and can be used in any such machine.
Driver Drowsiness Detection using Opencv and Raspberry Pi
Authors: Reddy Dr. K. Venkat , Ramaswamy Dr. T. , Kumar Sai Harshith , Prajeeth Channa , Vineet Choudhary
Published: May 2022

Abstract: Driver drowsiness detection is a step to reduce the rate of road accidents that happen around the world. It integrates the technology of machine learning with computer vision for detection and alert generation. Year by year the degree of fatalities and road accidents has increased due to driver drowsiness and fatigue. The device is robust and cost-effective which can prevent road accidents in most cases. The device has a camera through which it monitors the driver’s eye continuously and processes the image for the sleep onset period. The images taken at random interval is passed through a Neural network that recognizes eye moments and classifies the sleep stage. If the driver is in the initial stage of falling asleep it can alert the driver to wake up and be attentive. If the driver is in a further stage of sleepiness the device will generate an alert to the respective emergency contacts that the driver is on the verge of sleep and they can able to alert the driver in any way. The emergency contacts can also get the location coordinates of the driver from the device's Gps tracking system. One’s inattentiveness driving or careless driving is not only a problem to himself but also to the others on the road, creating a devastating effect. So there is a level of prominence on every solution that can prevent road accidents. Not only the life of drivers but also the people who are dependent on them will have to face the consequences. Keywords: Computer Vision, Raspberry pi, GSM communication, Opencv.
Polymer Fiber Reinforced Concrete Pavements
Authors: Ganjave Shubham , Chavan Samarth , Chaudhari Lalit , Gaikwad Ajay , Avhad Rushikesh , Shinde S. E . , Chavanke P. H. , Chavan P. G.
Published: May 2022

Abstract: The old method for using the traditional bituminous pavements have to be needs for continuous maintenance and repair work .In India there are several advantages of cement concrete pavements over bituminous pavements because of india has to leading growth country than other. This paper explains on POLYMER FIBRE REINFORCED CONCRETE PAVEMENTS, which is a recent advanced in the field of reinforced concretepavement in designs. In this project showing that how can Fibers help to improve the ductility performance, pre-crack tensile strength, fatigue strength, impact strength and shrinkage cracks. FRC satisfies two of the much demanded requirements of pavement material in economy and reduced pollution. Fibre reinforcement pavement has to reduce the cost of additional maintenance required on concreted pavement. It is ecofriendly and long life sustainability pavement.
Conversion of Conventional Building into Green Building: A Review
Authors: Tembhurne Miss. Apeksha. D. , Jasutkar Prof. Dilendra , Lilhare Prof. Hiradas G.
Published: May 2022

Abstract: Now-a-days due to excessive population growth, people required more number of houses to stay within but they generally build normal building in which energy consumption is more which inefficient, but the energy sources is decreasing very fast now-a-days so by implementing the green building throughout the world, we can reduce conventional energy consumption and so by reducing population Green building is that the one during which use less water optimizes energy efficiency, conserve natural resources and generate less waste and supply healthy spaces for occupants as compare to conventional buildings A study entitle " conversion of conventional building to green building. "Operation, maintenance and end of cycle cost are in the range of 36% to 42%, 25% to 30% and 7% to 18% respectively lower than that of conventional building. Study found that the life cycle cost of green building is 24% to 29% less than conventional building. In this paper an analysis as given to compare and conversion of conventional building to green building. Keywords: Conventional building, Energy efficiency.
Covid-19 Pandemic in India and its Impact on Education– A Review
Authors: Shah Asst. Prof. Bharti
Published: May 2022

Abstract: Corona Virus pandemic known as COVID-19 probably was the world largest pandemic seen by the world. This pandemic has crippled and devasted most of the systems in the world as well as took nations economic condition in more radical and global than ever before. Covid-19 situation has severely impacted human's daily life and many sectors like: education systems, children’s right, all service sectors etc. But as a proverb ‘The show must go on’, this unfavourable situation turns down in to a positive outcome. All individuals and all service sectors from all over the world had reworked on the situation and changed accordingly. In this paper, we researched on many fields and its impact, as well as the new strategy to tackle with this pandemic. Keyword: Covid-19, Online Education, Pandemic, pedagogy, ICT, devices
Waste Vegetable Peals as Bioplastics: A Review
Authors: B Suresh , . Poojitha
Published: May 2022

Abstract: Bio-plastic is a significant role in our ecosystem as it is eco-friendly and compatible, when matched to plastic carry bags. Bio-plastic are produced by organic waste in environment and it degrading faster than plastic which was made of chain of polymers. Plastic made our environment poisonous, aquatic animals to die and many more. Environmental friendly plastic is made of many organic wastes like banana peel, sugarcane bagasse, newspaper, shrimps etc. Bio-plastic mostly utilised in food packaging so that they are edible to humans and doesn’t cause any disease and disintegrates fast. Bio-plastic is helpful to mankind and useful to reduce environmental pollution. Bio-plastics are not affected to nature ecosystem because it can changes back into carbon dioxide. The plastics are substituted by number of varieties of bio-plastics. In this research paper chiefly discussed on utilization of substrates like vegetable waste, fruit and green leaves including water hyacinth as alternate substrate as bio- plastics. Market demand for bio-plastic is developing due to consumer-friendly products. It is less related with conventional plastics production than other bio-plastics. Keywords: bio-plastic, environmental friendly, organic substance.