bluuebunny/crossref_metadata_2025 huggingface dataset:
Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
Authors: Schreiweis Björn , Brandner Antje , Bergh Björn
Published: August 2021

Background

Clinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology systems have not been frequently used to date. Because medical information systems' underlying data collection methods strongly influence the benefits of implementing patient recruitment support systems, we investigated patient recruitment support system requirements and corresponding electronic record types such as electronic medical record, electronic health record, electronic medical case record, personal health record, and personal cross-enterprise health record.

Objective

The aim of this study was to (1) define requirements for successful patient recruitment support system deployment and (2) differentiate and compare patient recruitment support system–relevant properties of different electronic record types.

Methods

In a previous study, we gathered requirements for patient recruitment support systems from literature and unstructured interviews with stakeholders (15 patients, 3 physicians, 5 data privacy experts, 4 researchers, and 5 staff members of hospital administration). For this investigation, the requirements were amended and categorized based on input from scientific sessions. Based on literature with a focus on patient recruitment support system–relevant properties, different electronic record types (electronic medical record, electronic health record, electronic medical case record, personal health record and personal cross-enterprise health record) were described in detail. We also evaluated which patient recruitment support system requirements can be achieved for each electronic record type.

Results

Patient recruitment support system requirements (n=16) were grouped into 4 categories (consent management, patient recruitment management, trial management, and general requirements). All 16 requirements could be partially met by at least 1 type of electronic record. Only 1 requirement was fully met by all 5 types. According to our analysis, personal cross-enterprise health records fulfill most requirements for patient recruitment support systems. They demonstrate advantages especially in 2 domains (1) supporting patient empowerment and (2) granting access to the complete medical history of patients.

Conclusions

In combination with patient recruitment support systems, personal cross-enterprise health records prove superior to other electronic record types, and therefore, this integration approach should be further investigated.
Exploring the Barriers to and Motivators for Using Digital Mental Health Interventions Among Construction Personnel in Nigeria: Qualitative Study
Authors: Nwaogu Janet Mayowa , Chan Albert P C , Naslund John A , Hon Carol K H , Belonwu Christopher , Yang Jackie
Published: August 2021

Background

Work-related stress in the construction industry increases the prevalence of depression and anxiety among personnel. In low-resource settings such as Nigeria, construction personnel face high demands and severe working conditions but only have a few services to address their mental health needs. With emerging research showing that digital interventions can be used to self-manage mental health across diverse settings, there may be new opportunities to support construction personnel in the construction industry.

Objective

This study aims to determine the use of digital interventions for mental health management among construction personnel in Nigeria and to explore the factors that facilitate or impede the use of these interventions.

Methods

This qualitative study explored the perspectives of a convenience sample of 62 construction personnel. The data were subjected to inductive content analysis.

Results

A total of 6 barrier and 3 motivator themes were identified and categorized into 2 groups. The barrier themes were subcategorized into barriers to adoption and barriers to persistent use, whereas the motivator themes were subcategorized into intrinsic and extrinsic motivators. Lack of awareness and knowledge about the interventions may constitute a barrier to adoption and use. Participants frequently reported concerns regarding their effectiveness and usability.

Conclusions

This study provides an understanding of the design needs required to facilitate sustained self-management of mental health based on the experiences and expectations of construction personnel with digital interventions.
Medical Data Mining Course Development in Postgraduate Medical Education: Web-Based Survey and Case Study
Authors: Yang Lin , Zheng Si , Xu Xiaowei , Sun Yueping , Wang Xuwen , Li Jiao
Published: August 2021

Background

Medical postgraduates’ demand for data capabilities is growing, as biomedical research becomes more data driven, integrative, and computational. In the context of the application of big data in health and medicine, the integration of data mining skills into postgraduate medical education becomes important.

Objective

This study aimed to demonstrate the design and implementation of a medical data mining course for medical postgraduates with diverse backgrounds in a medical school.

Methods

We developed a medical data mining course called “Practical Techniques of Medical Data Mining” for postgraduate medical education and taught the course online at Peking Union Medical College (PUMC). To identify the background knowledge, programming skills, and expectations of targeted learners, we conducted a web-based questionnaire survey. After determining the instructional methods to be used in the course, three technical platforms—Rain Classroom, Tencent Meeting, and WeChat—were chosen for online teaching. A medical data mining platform called Medical Data Mining - R Programming Hub (MedHub) was developed for self-learning, which could support the development and comprehensive testing of data mining algorithms. Finally, we carried out a postcourse survey and a case study to demonstrate that our online course could accommodate a diverse group of medical students with a wide range of academic backgrounds and programming experience.

Results

In total, 200 postgraduates from 30 disciplines participated in the precourse survey. Based on the analysis of students’ characteristics and expectations, we designed an optimized course structured into nine logical teaching units (one 4-hour unit per week for 9 weeks). The course covered basic knowledge of R programming, machine learning models, clinical data mining, and omics data mining, among other topics, as well as diversified health care analysis scenarios. Finally, this 9-week course was successfully implemented in an online format from May to July in the spring semester of 2020 at PUMC. A total of 6 faculty members and 317 students participated in the course. Postcourse survey data showed that our course was considered to be very practical (83/83, 100% indicated “very positive” or “positive”), and MedHub received the best feedback, both in function (80/83, 96% chose “satisfied”) and teaching effect (80/83, 96% chose “satisfied”). The case study showed that our course was able to fill the gap between student expectations and learning outcomes.

Conclusions

We developed content for a data mining course, with online instructional methods to accommodate the diversified characteristics of students. Our optimized course could improve the data mining skills of medical students with a wide range of academic backgrounds and programming experience.
Digital Mental Health and Neurodevelopmental Services: Case-Based Realist Evaluation
Authors: Burbach Frank R , Stiles Katie M
Published: August 2021

Background

The rapid movement of mental health services on the internet following the onset of the COVID-19 pandemic has demonstrated the potential advantages of digital delivery and has highlighted the need to learn from prepandemic digital services.

Objective

The aim of this study is to explore the different elements of interconnected digital mental health and neurodevelopmental services of a well-established provider to the UK National Health Service and how web-based delivery enables young people and their families to access high-quality assessments and interventions in a more timely, flexible, and person-centered manner than in-person delivery.

Methods

A realist evaluation multiple case–study design was used, with 9 pediatric cases (aged 8-15 years) identified as representative of the services provided by Healios. Presenting concerns included autism and ADHD, anxiety and panic attacks, low self-esteem, anger and self-harm. The research literature was used to define the program theory and six context-mechanism-outcome (CMO) statements. The CMOs formed the basis for the initial data extraction, with novel elements added via an iterative process.

Results

We identified 10 key elements of web-based services: flexible delivery and timely response, personalized care to the individual, comprehensive care enabled by multiple interconnected services, effective client engagement and productive therapeutic alliances, use of multiple communication tools, client satisfaction with the service, good clinical outcomes, ease of family involvement throughout sessions or from different locations, facilitation of multi-agency working and integration with National Health Services, and management of risk and safeguarding. These elements supported the six CMOs; there was clear evidence that young people and their families valued the responsiveness and flexibility of the web-based mental health service and, in particular, how quickly they were seen. There was also clear evidence of individual needs being met, good therapeutic alliances, and client satisfaction. Multiple communication tools appeared to maximize engagement and working digitally facilitated multi-agency communication and delivery of safe care. The abovementioned factors may be related to the finding of good clinical outcomes, but the methodology of this study does not allow any conclusions to be drawn regarding causality.

Conclusions

This study demonstrates the effectiveness of interconnected digital mental health and neurodevelopmental services as well as how web-based delivery enables young people and their families to access assessments and interventions in a more timely, flexible, and person-centered manner than in-person delivery. The 10 key elements of web-based service delivery identified through the 9 case studies suggest the potential advantages of web-based work. These elements can inform future research and aid in the delivery of high-quality digital services.
A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation (Preprint)
Authors: Pan Youcheng , Wang Chenghao , Hu Baotian , Xiang Yang , Wang Xiaolong , Chen Qingcai , Chen Junjie , Du Jingcheng
Published: August 2021

BACKGROUND

Electronic medical records (EMRs) are usually stored in relational databases that require SQL queries to retrieve information of interest. Effectively completing such queries can be a challenging task for medical experts due to the barriers in expertise. Existing text-to-SQL generation studies have not been fully embraced in the medical domain.

OBJECTIVE

The objective of this study was to propose a neural generation model that can jointly consider the characteristics of medical text and the SQL structure to automatically transform medical texts to SQL queries for EMRs.

METHODS

We proposed a medical text–to-SQL model (MedTS), which employed a pretrained Bidirectional Encoder Representations From Transformers model as the encoder and leveraged a grammar-based long short-term memory network as the decoder to predict the intermediate representation that can easily be transformed into the final SQL query. We adopted the syntax tree as the intermediate representation rather than directly regarding the SQL query as an ordinary word sequence, which is more in line with the tree-structure nature of SQL and can also effectively reduce the search space during generation. Experiments were conducted on the MIMICSQL dataset, and 5 competitor methods were compared.

RESULTS

Experimental results demonstrated that MedTS achieved the accuracy of 0.784 and 0.899 on the test set in terms of logic form and execution, respectively, which significantly outperformed the existing state-of-the-art methods. Further analyses proved that the performance on each component of the generated SQL was relatively balanced and offered substantial improvements.

CONCLUSIONS

The proposed MedTS was effective and robust for improving the performance of medical text–to-SQL generation, indicating strong potential to be applied in the real medical scenario.
History of Establishment and Development of the Witness Institute in the Criminal Process
Authors:   University of State Fiscal Service of Ukraine, Chepel Alexander
Published: August 2021

The article is devoted to studying the history of the origin and development of such an institute of criminal procedure as the witness institute. The regularities of the formation of the institute of witness, depending on the time and political systems requirements, are identified and analyzed. The legal nature of witness testimony has been studied. The evolution of legal terms related to the institute of witness is analyzed. Based on the development of legal acts and the level of public administration, specific historical periods related to the emergence and formation of the witness institute are distinguished.
Establishment and Development of the Adversarial Principle in the Criminal Process
Authors:   Lviv University of Business and Law Ukraine, Striletska Oksana
Published: August 2021

The article is devoted to studying the history of the origin and development of adversarial principles in criminal proceedings. The evolution of the adversarial principle in the criminal process is studied in chronological order, in historical retrospective. Based on the development of legal regulations and the level of public administration, specific historical periods related to the development of the adversarial principle in criminal proceedings are distinguished. A retrospective suggests that adversarial proceedings should be taken as the basis for the organization of the entire criminal process. Only in this case, it is possible to clearly separate the functions of prosecution, defence, and resolution of criminal proceedings at all its stages and give the parties equal opportunities to provide evidence and defend their positions.
Bio-Scouring of Cotton using Protease and Pectinase from Bacillus subtilis Isolated from Market Waste
Authors:   Michael Okpara University of Agriculture, Anab-Atulomah Chidiebere , Nwachukwu Ejikeme ,   Michael Okpara University of Agriculture
Published: August 2021

The bio-scouring of cotton using protease and pectinase produced from Bacillus subtilis was investigated. Protease and pectinase were produced from Bacillus subtilis in a liquid medium using the submerged fermentation technique. Both enzymes were purified, and their scouring potential was tested on raw cotton fabrics. Pectinase was more effective than protease under optimised conditions. The optimum scouring temperature for both enzymes was between 40 °C and 50 °C, with pectinase bio-scoured fabric showing 15.5% weight loss while protease bio-scoured fabric had 14.3% weight loss. The optimum pH for pectinase scouring was pH 9 with 14.8% weight loss in the fabric, while the optimum pH for protease scoured fabric was pH 7 with 12.3% weight loss in fabric. After 120 minutes of bio-scouring, maximum weight loss was recorded for both pectinase and protease treated fabrics. The application of protease and pectinase for cotton fabric scouring revealed that they could be used as bio-scouring agents to treat textile materials.
Landscaping of General Secondary Education Institutions and its influence on the Formation of Schoolchildren's Artistic Taste
Authors:   Kherson State Agricultural University, Boiko Tatiana , Torbina Lesya ,   General educational institution No 57 of the Kherson, Zavgorodnya Galina ,   General educational institution No 57 of the Kherson
Published: August 2021

The article considers the formation of schoolchildren's artistic and aesthetic taste and the influence of landscaping of school green areas on this process. During natural sciences, students should form the concept of the beauty of plant objects, the relationship of individual-personal reaction, and the object's quality. The purpose of education in this context should be the consistent implementation of the humanistic principle - a careful attitude to the inner world, his interests and needs, enrichment of his spiritual potential. Achieving this goal is facilitated by introducing the educational process of a personality-oriented approach aimed at the holistic development of a student's personality. The formation of children's artistic and aesthetic taste is one of the urgent problems of the harmonious development of personality, the successful solution of which improves the quality of pedagogical process in general secondary education. Feelings and understanding of beauty, artistic and aesthetic taste are not formed independently. They should be nurtured, consistently formed and developed. One of the top places in the formation of aesthetic taste is studying the decorative qualities of woody and herbaceous plants in the green areas of secondary schools. Both lessons of subjects of a natural cycle and practical classes of circles can be conducted on their basis. Successfully designed green space develops students' aesthetic perception of form and space, symmetry and asymmetry, a combination of light and shadow, texture and colour, i. e. the formation of artistic and aesthetic taste. Plantations of tree plants and flower arrangements contribute to the formation of the concept of the beauty of plant objects, the relationship of individual-personal reaction and the quality of the object. Conducting classes on the territory of green areas of educational institutions compensates for the lack of communication with wildlife, forms the childrens' artistic and aesthetic taste, cultivates a caring attitude to the environment.
Effect of Socio-Economic Characteristics of Households on Housing Condition in Bauchi Metropolis, Bauchi State, Nigeria
Authors:   Abubakar Tafawa Balewa University, Kayode Sakariyau Jamiu , Muhammad Maryam Salihu ,   Abubakar Tafawa Balewa University, Bello Muhammad Umar ,   Abubakar Tafawa Balewa University
Published: August 2021

Housing across the world has remained an indispensable phenomenon that affects every facet of humans. Its relevance is so evident that it imparts on man’s socio-physical and mental welfare irrespective of his socio-economic status, colour or creed. The correct socio-economic position is linked to people seeking inexpensive and decent housing. This study assessed the socio-economic characteristics of households and their housing condition in the Bauchi metropolis. The study adopted a quantitative approach where 380 questionnaires were administered to house hold-heads in this study. The households were sampled through stratified random sampling to generate data on their socio-economic characteristics, housing conditions, existing facilities and amenities, physical and environmental characteristics. The data collected were subjected to descriptive statistics with mean ranking and ordinal regression to examine the significance of the various variables. The findings of the study revealed that socio-economic characteristics affect housing conditions in the study area. The study also revealed that compared with the medium and high-density areas where the housing situation and all basic infrastructures are fair and foul, the low-density area had its housing condition with all basic infrastructures in good condition. It was recommended that the government provide adequate social facilities as a matter of urgency, renovate the declining ones, and implement development control standards in the medium and high-density areas. Furthermore, individuals should incorporate a good maintenance culture for their property to improve housing and environmental characteristics.
Research Progress on Robotic Nurse
Authors: Qasim Sadaf
Published: August 2021

The population in the world is increasing at a phenomenal rate, the care for elders has become a big issue for the government and society. In a latest survey it is found that the elders who wanted to sprout in their own house has increased to the rate more than 85%. The main issue is on how to reach elder’s need and mitigate burden for their children. The services of nurses could reach 3.3 trillion yuan in the year 2020, so the need for the elderly nursing will increase to a great extend for national economy. Hence the need for robotization for elderly nursing will become trend in future. Research shows that the robots can be designed in various ways with a path towards the wellbeing as main function. Therefore, it is admissible for nursing researchers to develop nursing care robots for the betterment of society and enter a postmodern era and science and practise.
Review on Analysis of Free Vibrational Horizontally Curved Bridges
Authors: Mishra Manish
Published: August 2021

Curved I-girder concrete bridges give an outstanding answer to urban congestion, traffic, and pollution concerns, but the combined flexibility and torque responses of the bridges make their behavior exceedingly complex. That is why structural design parameters for simplified design procedures are in high demand, as measured by empirical equations. To analyze the effect on the free vibrational reaction of curve composite steel-concreteI-girder bridge with varying vibration parameters, this research employs a sensitivity analysis. To learn the fundamental frequency and the geometric configuration of the model forms, a parametric investigation is performed. Finite element Modelling of composite steel/concrete frameworks, deformable shear model, fine element formula, finite element mounting, finite element calibration, and finite element modeling, etc. Modeling finite element. Sensitivity research to draw the fundamental frequencies for the evaluated bridges. The parametric research outcomes. The results. Curved I-girder bridges of composite steel with single span or multi-span lengths are presented.
Alumni Meet Portal
Authors: Mishra Akash
Published: August 2021

Alumni plays a vital role in the overall growth of entire college. They are those who represents college in the entire world. At presents method used for collecting alumni details is manual which is very time consuming process. This portal provides a single repository to the alumni of college to update their profile. This project is aimed to develop a interactive platform between students and alumni of a particular college. Using this portal alumni can stay connected with college which has been very important part of their memory. The proposed system will help alumni and students to create strong bounding between them. Alumni will share their industry experiences, work culture of industry. Using this portal alumni will organize different workshops and seminars on the emerging topics of industry. This portal highlights the feature of communication, which will enable the current students to have interaction with the alumni of the college for getting various updates regarding job opportunities like industrial trends and industrial events etc. The proposed system will help the user to access the portal from any location.
The Curious Case of Opioid-Induced Pancreatitis
Authors: Goodwin Glenn
Published: August 2021

While most cases are known to be caused by gallstones or alcohol, a myriad of other causes have also been identified; medications being one of them. A wide array of medications have robustly been proven to cause pancreatitis 1 Opioid-induced pancreatitis, specifically, is less well documented. Only a handful of cases have been published, with Codeine being implicated as the trigger.2–7 Interestingly, these Codeine pancreatitis cases are almost exclusively seen in post-cholecystectomy patients.2–7 This is the case of a 54-year-old female presenting to the emergency department with acute-onset severe, crampy, epigastric pain, radiating to her back. The patient had accidentally ingested Acetaminophen with Codeine, thinking it was a sleeping aid. Approximately one hour after the ingestion, her symptoms began. The pathophysiology of opioid-induced pancreatitis is reviewed, with the proposed mechanism of codeine-induced Sphincter of Oddi spasm. In conclusion, opioid-induced acute pancreatitis in post-cholecystectomy patients has been well-established but surprisingly under-documented. There is tangible and pragmatic clinical importance, as clinicians should consider the increased risk of acute pancreatitis in patients with prior cholecystectomy, when prescribing opioid medications. Should a clinician find themselves with this patient presentation, naloxone seems to be an effective treatment, along with standard pancreatitis treatment, and discontinuation of the offending agent.
Searching using B/B+ Tree in Database Management System
Authors: Garg Anshita
Published: August 2021

This is a research-based project and the basic point motivating this project is learning and implementing algorithms that reduce time and space complexity. In the first part of the project, we reduce the time taken to search a given record by using a B/B+ tree rather than indexing and traditional sequential access. It is concluded that disk-access times are much slower than main memory access times. Typical seek times and rotational delays are of the order of 5 to 6 milliseconds and typical data transfer rates are of the range of 5 to 10 million bytes per second and therefore, main memory access times are likely to be at least 4 or 5 orders of magnitude faster than disk access on any given system. Therefore, the objective is to minimize the number of disk accesses, and thus, this project is concerned with techniques for achieving that objective i.e. techniques for arranging the data on a disk so that any required piece of data, say some specific record, can be located in a few I/O’s as possible. In the second part of the project, Dynamic Programming problems were solved with Recursion, Recursion With Storage, Iteration with Storage, Iteration with Smaller Storage. The problems which have been solved in these 4 variations are Fibonacci, Count Maze Path, Count Board Path, and Longest Common Subsequence. All 4 variations are an improvement over one another and thus time and space complexity are reduced significantly as we go from Recursion to Iteration with Smaller Storage.
Influence of Drying Temperatures on Effective Diffusivity of Custard Apple Pulp
Authors: Soni Narotam
Published: August 2021

Fresh custard apple pulp was dehydrated using convective drying method to study the effect of drying temperatures on effective diffusivity of custard apple pulp. Dehydration characteristics of custard apple pulp for the convective drying experiment were studied. Moisture diffusivity (Deff) at 50, 55, 60 and 65° C temperatures was ranged from 3.20 x10-9 m2/s to 4.80 x 10-9 m2/s and activation energy was found 29.436 kJ/mol at air velocity of 2 m/s. The average drying time was decreased 16.67, 10.00 and 22.22 for per 5 °C temperature increase. It was also found that greater drying effect of 22 per cent reduction in drying time was observed for 60 to 65 °C temperature increase. During the drying experiment and data were recorded, it was found that highest drying rate during the drying process was about thrice of the average drying time. It can be deduced from the study that drying process was fast at higher temperature and as the drying temperature increased the effective moisture diffusivity was also increased.
Conversion Tools
Authors: Daryanani Kanchan Yugal
Published: August 2021

Mobile application development and use has exploded since the release of Google's Android operating system. The conversion tool is an application that offers a wide range of free conversion utilities such as length converters, area converters, encryption & decryption, password generators and many other tools. The target audience for this application is students.
Numerical Analysis of Tunnel Support System at Pune Metro
Authors: Yele Saurabh B.
Published: August 2021

Pune has witnessed enormous industrial growth, rapid urbanization in the recent past and has put the city's travel infrastructure to stress. Being a densely populated area, Pune's traffic needs cannot be met by road-based transportation systems and additional flyovers. Considering this, the Pune Metro project a strong public transport system partly elevated, and partly underground Line 1 and the completely elevated Line 2 has been discussed and undertaken by Maha Metro Rail Corporation. With the rise in demand, the responsibility for a safe and efficient public transport system also increases hence proper planning, designing, and execution play a vital role. The underground tunnel stretch of the Pune Metro Line 1 project is carried out by TBM and by segmental lining as a support system. By geotechnical parameters and FEM, RS2 software author analyses the ground behaviour and support system and conveys a basic understanding of ground behaviour and results in guidelines for designing the underground tunnel.
Comprehensive Multi-Model Framework for establishing correlation between Particulate Matter in Residential and Commercial regions of Lucknow
Authors: Srivastava Shivam
Published: August 2021

Our Country India is a developing Country and with the onset of heavy production, urbanization and Industrialization in the recent years has imposed a heavy threat on the Environment, The direct impact of which could be seen in the deteriorating Air Quality. Since air pollution continues to rise at an alarming rate, it affects economies and inhabitants quality of life leading to health emergency situations. This paper presents the Air Quality data interpretation and modelling to study for correlation between different Air Quality Parameters specifically Particulate Matter in Residential and Commercial regions of Lucknow-The Second largest city of Uttar Pradesh. The levels of PM2.5 and PM10 was found to be exceeding than 24 Hrs avg as well as Annual Average value (as set by NAAQS ) in Commercial Region , while in Residential Region the levels of PM2.5 and PM10 were almost in acceptable range as set by NAAQS . Later on studying the comprehensive correlation between the PM2.5 and PM10 by applying various regression models, As per the levels of PM as obtained in commercial region , Compound Curve Regression Model seems to be of highest significance showing 92.1% relation response with highest Standardized Beta Coefficient having value of 2.611 . While for Residential region as per the levels of PM obtained, Cubic Curve Regression Model gave best suited result depicting 77.9% relation response amongst PM2.5 and PM10 with highest Standardized Beta Coefficient Value of 3.028 .
Estimation of Nonlinear Static Damage Index for Seismic Assessment
Authors: Somwanshi Mrs. Ramatai
Published: August 2021

The main objective of this study is, evaluation damage index of reinforced concrete moment resisting frames by” NONLINEAR STATIC PROCEDURE” nonlinear static analysis includes the capacity spectrum method (CSM) that uses the intersection of the capacity (pushover) curve and a reduced response spectrum to estimate maximum displacement in terms of damage of building. Nonlinear static procedure is simple and practical method for static damage index. For this purpose, first some functions are derived to estimate damage to the structure using pushover analysis and then designed procedure is proposed. In this study damage function is estimated by using correlation between park-ang damage index (NLDD) and nonlinear static damage index (NLSD) which is based on the pushover analysis. For this purpose dynamic and static damage damage analysis are performed on several concrete frames subjected to various earthquake acceleration records. So the detail explanation is found in this study.
Implementation of Laminate Structure in Car Hood and Study of its NVH Parameters
Authors: Bangale Sarthak
Published: August 2021

This paper examines the implementation of Laminate structure and aluminium panels in Hood in place of conventional steel hood. In laminate structure, 3 layers is considered with aluminum as a face material and PVC Solid as a core material which helps in efficient energy absorption and provide necessary stiffness for the panel. It has been observed that the natural frequency is improved over conventional steel bonnets with benefit of weight reduction in hood assembly. To validate its NVH performance static stiffness, natural frequency and torsional stiffness has been calculated and it has been found that Laminate structure Hood has better performance than steel hood with overall weight reduction of 41.36%.
Role of Building Information Modelling (BIM) in Sub-Contractor Management
Authors: Jain Ankit
Published: August 2021

Construction industry being an excellent example of supply chain has various key components which are interlinked and interdependent on each other. The whole chain is glued on communication among each other. Any lack in the flawlessness of this communication breaks the chain and the whole system gets affected. The work breakdown structure of this industry is structured in a hierarchical manner and works on decentralization of the authority. The most common lack of communication has been observed between the Contractor and Sub-contractors which causes multiple issues during delivery. Thus, this study has established a workflow through which BIM (Building Information Modelling) can be employed to improve communication between the Contractor and Sub-contractor of a project. This document gives formatting instructions for authors preparing papers for publication in the Proceedings of an IEEE conference. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text.
Resolving Wireless Sensor Networks Issues using Machine Learning Techniques: A Review
Authors: S Harshitha
Published: August 2021

Wireless Sensor Network (WSN) is the most encouraging advancements for some real-world applications due to its size, low cost, and easily deployable nature. Because of some factors like temperature, humidity, wind, pressure, battery life, etc., the performance of WSN will change dynamically, and therefore it requires depreciating dispensable redesign of the network. The conventional WSN is controlled by external programs, which makes it the networks hard to respond dynamically. In order to provide a quick response for dynamic changes, Machine learning (ML) techniques can be applied on WSN. Machine Learning is a technique that is self-instructed from experience and acts without human intervention or re-program. In this paper, Machine learning techniques for solving various issues in WSN are presented; we discussed machine learning techniques for anomaly, fault, and event detection. Finally, we presented the statistical analysis of Machine learning techniques used to solve the issues of WSN.
Advancement in Irrigation Techniques Using IOT
Authors: V H Darshan
Published: August 2021

This paper gives the clever irrigation gadget the use of Internet of Things (IOT) through the Arduino 3.2. The goals of this paper are to analyze the idea of clever irrigation gadget the use of IOT, to broaden a gadget the use of an Arduino 3.2 that methods the statistics from the soil sensor which robotically water the plant and to examine the actual time circumstance of soil of the flora through the clever phone this is linked to the internet. The scope of the take a look at is targeted on farming vegetation and gardening. The boundaries of this challenge may be very pricey if it's miles implemented on a huge area.
Analysis of Load-Bearing Capacity of Initial lining in Tunnels
Authors: Alam MD Waquar
Published: August 2021

Large displacements during excavation are regularly observed in Squeezing ground condition and Rock-burst condition with high overburden. The expected displacement has to be estimated prior to excavation to provide enough allowance for the displacements. The support system need to be well-suited through the estimated imposed strains. As the estimated displacements and thus the strains in the support depend upon the load-bearing capacity of support. The ratio of uniaxial compressive strength of rock mass to maximal insitu stress determines tunnel integrity in the weak region.This ratio estimates the requirements of initial lining to control strain to a stipulated level. The elasto-plastic theory may deliver definitive forecasts providing the strength limitations of rock masses are identified accurately. With the help of empirical analysis, the development of displacements for diverse advance rates and supports can be concluded. As a consequence, a quantitative finite element model based on an advanced built-in model is designed to analyse the load-bearing efficiency of initial lining although taking into consideration the time-dependent and non-linear material behaviour of initial lining. The time-dependent excavation mechanism of the drill-and-blast approach for tunnels guided by full face excavation is considered in the finite element model. The material parameters for the initial lining were computed based on case studies- (A Chibro-Khodri Hydropower Tunnel).
Augmented RealityAugmented Reality
Authors: Kumar Ankur
Published: August 2021

Augmented Reality (AR), which blends virtual information with the real environment in real-time performance, is constantly evolving and becoming more sophisticated and robust. It is critical to ensure that the augmented reality system is accepted and successful. This paper primarily discusses the current state of AR applications and the various fields in which AR is being used.
Accuracy Enhancement of Diabetic Retinopathy Detection Using Naive Bayes Algorithm
Authors: Yadav Mithileshkumar
Published: August 2021

Diabetic retinopathy (DR) is a disease of eye which is caused by diabetes. Sometime the DR leads the diabetic patients to complete vision loss. In this scenario, early identification of DR is more essential to protect the eyesight and provide help for timely treatment. The detection of DR can be done manually by ophthalmologists and can also be done by an automated system. An ophthalmologist is required to analyze and explain retinal fundus images in the manual system, which is a time consuming and very expensive task. While, In the automated system, artificial intelligence is used to perform an significant role in the area of ophthalmology and specifically in the early detection of DR over the traditional detection approaches. Recently, numerous advanced studies related to the identification of DR have been reported, But still research for accurate detection of DR is going on. In this paper, a new diabetic retinopathy monitoring model is proposed by using the Naive Bayes method to improve the accuracy of detection of DR. The model is trained on mixture of two datasets Messidor and Kaggle, and evaluated on the Messidor dataset. By using proposed method detection accuracy is found to be higher than existing methods.
Analysing the Effect of Tunnel Construction on Existing Structure by Using Analytical and Numerical Method
Authors: Choudhary NInad
Published: August 2021

Underground construction in urban areas is a challenging work to carry out and includes a lot of factors to be considered. In varying geological conditions, it becomes very difficult as there are various faults and fracture, so it requires a proper investigation to be done before starting of the project. The aim of this report is to determine the effects of tunneling on existing structures and tunnel surrounding due to tunnelling work, like crack in structure, vibrations caused to the above structure and ground settlement. To identify the movements caused and giving a solution by using the RS2 software and deciding the best suitable method for Construction of tunnel.
To Analyze Different Excavation Pattern in NATM Construction
Authors: Goyal Vibhuti
Published: August 2021

Underground construction is preferable due to lack of space availability on surface in urban areas, so the underground construction is increasing throughout the world for various reasons. Tunneling in urban area is a unique challenge, these challenge can be addressed with suitable tunnel design. New Austrian Tunneling Method (NATM) has become the method of choice for tunneling in urban areas to construct underground structure such as metro station, rail crossovers, multi-track metro lines. The aim of this report is to analyze different excavation pattern such as heading, benching and invert in NATM construction in varying geological conditions by using RS2 software for determining stresses across the tunnel surrounding and to give a best suitable excavation pattern for construction of tunnel.
Demand Side Management Applied to a Sub Station for Energy Conservation
Authors: Anmisha M.
Published: August 2021

Electrical energy is an essential ingredient for the industrial and all-round development of any country. The per capita consumption of electrical energy is a reliable indicator of a country's state of development. It has been estimated that there are two billion people who still lack electricity today and the world demand in developing countries is doubling every eight years. To meet this ever-growing demand, generating plants of all types are being installed. Unfortunately, the sources of electrical energy are depleting and hence the gap between the supply and the demand is continuously increasing. Under such circumstances the only option left is optimal utilization of available resources. Initially in this direction Load Management and Energy Conservation methods were adopted to overcome the problems. But these two methods concentrate only on the problems faced by supplier alone and do not take into account the problems of consumer. To overcome this problem in 1980's, a concept of DEMAND SIDE MANAGEMENT has emerged and is being applied throughout the world. The concept of DSM has vital role in power system planning and management. The main idea of DSM technique is to discuss the mutual benefits for both supplier and consumer for minimum inconvenience. DSM is broader in scope than either Load Management or Energy Conversation. The need for Power System Planning and Management has increased enormously today. Resources crunch have made availability of power meagre to meet the demand. Power shortage is not only endemic in India but also in the world. as demand always lags with respect to supply a time factor also plays a role in bridging the gap between demand and supply. To bridge this gap the random load shedding is the usual method adopted by the supplier of electrical energy, which discourages the consumer's interest. To overcome this problem recently the concept of Demand Side Management technique has emerged and is being applied throughout the world. This paper deals with the DSM technique of Resized and Revised operation Schedule taking into consideration the load curve of a transformer. The increase in the energy efficiency of equipment is quantified in terms of Transformer Utilization Factor. A considerable increase in the energy efficiency and reduction in core losses has been observed. The work presented in this project gives the results of application of DSM technique to 33/11 KV substation in Palvancha. It has two incoming transmission lines and one 33KV outgoing transmission line and four 11KV outgoing feeders (Burgampadu, Velur, Nanprolu, Sompally). The study indicates the improvement in the energy efficiency of the system. In addition, the consumer also gets a small savings of reduction in the energy bill due to lowering of core losses/ iron losses.
Chatbot for College Management System
Authors: B Delphin Lydia
Published: August 2021

Nowadays, Artificial Intelligence is being used extensively in a wide range of sectors, from product production to customer service in public relations. Artificial Intelligence (AI) chat bots play a vital role in helping solve their problems in any aspects. So, we implemented a virtual assistant based on AI that can deal with any query related to College Management System. A chatbot uses information stored in its database to recognize phrases and make decisions on its own in response to a query. The college inquiry chat-bot is built using the Rasa NLU framework that analyzes user's queries by understanding user’s text message. The response principle is matching the input sentence from a user. The college management system involves public user portal and student/staff portal. It keeps track records of all the information regarding students and the college. In the public portal, the user may use the chat-bot to ask any college-related questions without having to physically visit the campus. The Bot analyses the query and responds with a graphical user interface that makes it appear as though a real person is conversing with the user. The system's accuracy is estimated to be 95% and the time it takes to create responses corresponds to the number of lines of response.
Missing Person Identification System
Authors: Mahajan Prof. Kanchan
Published: August 2021

In the world, countless people are missing every day, including children, adolescents, psychological challenge, elderly people with Alzheimer’s, etc. they remain without a trace. These charges are missing and are being reviewed at the police station. Ngu using webcam technology compare the individual and the database available again to find these people. This program is designed to locate missing people. If missing The person is found in the Web video stream and sends the location of the lost person to the police station. After a missing person is found in a Web Video stream, send location Email to the police station. So our system can play a very key role in matters of security and authenticity. Here the manager does all the management roles in this program. The controller can add active police officers, remove active police officers and watch police using. The system gets the results and produces the output accordingly.
Third Eye for Blind
Authors: Tyagi Mr. Sachin
Published: August 2021

People with visual impairments often depend on outside help that can be provided by the following agencies Humans, well-trained dogs, or special electronic devices are used as decision support systems. Principal The problem for blind people is how to navigate where they want to go. Those people need Help from other people with good eyesight. As described by the World Health Organization, 10% of people with visual impairment have There is no functional vision to help them move safely without assistance. This article is Designed to help blind people overcome visual defects through the use of other senses, such as sound and Touch. The system uses the Atmega328 microcontroller, which is a high performance 8-bit AVR RISC microcontroller. To detect the distance, the system uses HCSR04, an ultrasonic range Finder distance sensor module. The sensor module is designed to use sensors to measure distance The SONAR or RADAR principle uses ultrasound to determine the distance of an object. This The system also includes a buzzer that generates an alarm sound and a motor that generates vibration. Sign. The system uses audio and vibration signals to notify users of upcoming obstacles. What The distance between the glove and the obstacle, the frequency of the audio signals and vibration is reduced Increase. Therefore, the system helps to simplify the navigation process for those who need it. The system provides a Low-cost, reliable, portable, energy-efficient and powerful navigation solutions Response time is short.