Enrollment Process Research Articles

Assessing Parent Decisions About Child Participation in a Behavioral Health Intervention Study and Utility of Informed Consent Forms

Obtaining informed consent is an important ethical obligation for clinical research participation that is imperfectly implemented. Research on improving consent processes often focuses on consent forms, but little is known about consent forms' influence on decision-making compared with other types of engagement. To evaluate whether parents decide whether to enroll their children in research before or after they receive the consent form. An online survey of 88 parents who enrolled or declined to enroll their child in a weight management intervention study between January 2, 2018, and June 24, 2019, was conducted; surveys were completed between February 2, 2018, and July 9, 2019. A 31-item survey asked about impressions of the study throughout the enrollment process, timing of enrollment decisions, and decision-making factors. Responses were summarized descriptively and subgroups were compared using the Fisher exact test or χ2 test. Self-reported timing of enrollment decision. A total of 106 parents were approached and gave permission for their contact information to be shared with the study team; 22 additional parents declined to allow their information to be shared, and 24 lost contact with the partner study before they could be asked for permission. A total of 88 parents (67 enrollees, 21 decliners) completed the survey (83% participation rate); 79 of 88 reporting gender (instead of sex, as biological sex was not relevant to survey) information were women (91%), 66 participants (75%) were non-Hispanic White, and 63 participants (72%) had annual household incomes greater than or equal to $70 000. No significant differences in respondent characteristics between enrollees and decliners were identified. Fifty-nine parents (67%) responded that they decided whether to enroll in the weight management study before receiving the consent form. Only 17 of 69 parents (25%) who remembered receiving the consent form responded that it taught them new information. The findings of this study suggest that interventions to improve informed consent forms may have limited influence on decision-making because many research decisions occur before review of the consent form. It appears that regulatory review and interventions to improve decision-making should focus more on early engagement (eg, recruitment materials). Future studies should test timing of decisions in other types of research with different populations and clinical settings.

Characterization of Face Transplant Candidates Evaluated at Cleveland Clinic and Algorithm to Maximize Efficacy of Screening Process.

As a high-volume referral center for facial transplantation, we have learned significantly from the screening, evaluation, and enrollment process. This report analyzes our algorithm for the assessment of potential face transplant candidates referred to our institution. After institutional review board approval in 2004, a prospectively maintained database was created for patients who were referred face transplant. Records were reviewed for the nature of tissue defect, functional deficit, surgical and medical history, and expert recommendations.Our algorithm begins with a review of a patient's file with a focus on institutional review board criteria. After screening, a phone interview is conducted, and transplantation is discussed. Patients are presented to the team to analyze the medical, psychiatric, and surgical history; support network; and geographic location. Eligible patients are invited for an in-person evaluation, and the case is reviewed again with the team. If approved, the patient can provide consent for transplantation. More than 200 patients were referred for transplant evaluation at the Cleveland Clinic from 2004 to 2016. Sixty were eligible for further evaluation for face transplantation based on preliminary screening. Thirteen (6.5% of original cohort) were invited for in-person evaluation and physical examination. Five (2.5% of original cohort, 38.4% invited cohort) of these 13 patients underwent face transplantation, of whom, 3 (1.5% of original cohort, 23.1% invited cohort) underwent face transplantation at our institution. All 3 patients who were ultimately transplanted were referred by a physician. As the availability of public information on face transplant increases, it is likely that an increase in self-referral for face transplantation will occur. Thus, it is critical that institutions adopt a systematic approach to triage in order to identify appropriate patients. Our algorithm allowed for a high enrollment and transplantation ratio to save patient and institution time and resources. This could be easily adopted by other institutions to save time, money, and resources.

Lessons learned from two randomized controlled trials: CITIES and STOP-DKD

BackgroundEven well-designed, theoretically driven clinical trials can fall short of achieving the desired clinical outcomes. Our research team had an opportunity to conduct two randomized controlled trials that were enrolling patients in parallel. While both studies were targeting chronic disease management among patients with multiple comorbid conditions, the patient population and settings varied. The studies were the Cardiovascular Intervention Improvement Telemedicine Study (CITIES) and Simultaneous Risk Factor Control Using Telehealth to slow Progression of Diabetic Kidney Disease (STOP-DKD) studies. Both studies had null findings. ObjectivesOur goal is to discuss common design considerations across CITIES and STOP-DKD and potential implications for the design of future randomized controlled trials. MethodsThese were two 1:1 randomized controlled trials with attention control groups that recruited patients from various clinical practices in the Research Triangle area of North Carolina. ConclusionsWe make three recommendations for future studies. First, we assert that it is important to allow for piloting the enrollment process to ensure that it is possible to identify and recruit a patient population that is well aligned with the clinical outcomes of the intervention. Second, analysis plans should be more targeted in their approach and should consider heterogeneity of treatment effects. Third, in order to support the transition of evidence generated from randomized controlled trials into clinical practice, it is important to consider even early stage randomized controlled trials through an implementation science lens. Trial registrationSimultaneous Risk Factor Control Using Telehealth to slow Progression of Diabetic Kidney Disease (STOP-DKD) NCT01829256; Cardiovascular Intervention Improvement Telemedicine Study NCT01142908.

Recommendation System of Subjects in the Registration and Enrollment Process of University Students

Recommendation System of Subjects in the Registration and Enrollment Process of University Students

Understanding the Problem of Access to Public Health Insurance Schemes among Cross-Border Migrants in Thailand through Systems Thinking.

Thailand has become a popular destination for international migrant workers, particularly from Cambodia, Lao PDR, and Myanmar. However, only a fraction of these migrant workers were insured by public health insurance. The objective of this study was to apply systems thinking to explore contextual factors affecting access to public health insurance among cross-border migrants in Thailand. A group model building approach was applied. Participants (n = 20) were encouraged to share ideas about underlying drivers and barriers of migrants’ access to health insurance. The causal loop diagram and stock and flow diagram were synthesised to identify the dynamics of access to migrant health insurance. Results showed that nationality verification is an important mechanism to deal with the precarious citizenship status of undocumented migrants. However, some migrants are still left uninsured. The likely explanations are the semi-voluntary nature of the Health Insurance Card Scheme, administrative delay of the enrollment process, and resistance of some employers to hiring migrants. As a result, findings suggest that effective communication is required to raise acceptance towards insurance among migrants and their employers. A participatory public policy process is needed to create a good balance of migrant policies among diverse authorities.

Development of an AI Chatbot to Support Admissions and Career Guidance for Universities

The vocational guidance and advising education enrollment are one of the most important tasks in the enrollment process and promote the quality and reputation of the University. Admissions counseling offices at Universities and Colleges play a major role in vocational guidance and advising education enrollment. However, the support of these units is limited by office hours, speed and advisory efficiency, and besides, handling and answering questions process may also encounter obstacles such as: overload, misinformation, problem with the transmission, language barriers, expressions, limited time, support resources,… Thus we decided to do research to understand this situation. Then creating a dataset supports vocational guidance and advising education enrollment activities. We also design and integrate chatbot into the school system to support the admissions counseling process.

Fruit and Vegetable Incentive Programs for Supplemental Nutrition Assistance Program (SNAP) Participants: A Scoping Review of Program Structure.

The low intake of fruits/vegetables (FV) by Supplemental Nutrition Assistance Program (SNAP) participants is a persistent public health challenge. Fruit and vegetable incentive programs use inducements to encourage FV purchases. The purpose of this scoping review is to identify structural factors in FV incentive programs that may impact program effectiveness, including (i.) differences in recruitment/eligibility, (ii.) incentive delivery and timing, (iii.) incentive value, (iv.) eligible foods, and (v.) retail venue. Additionally, the FV incentive program impact on FV purchase and/or consumption is summarized. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for scoping reviews, a search of four bibliographic databases resulted in the identification of 45 publications for consideration; 19 of which met the pre-determined inclusion criteria for full-length publications employing a quasi-experimental design and focused on verified, current SNAP participants. The data capturing study objective, study design, sample size, incentive program structure characteristics (participant eligibility and recruitment, delivery and timing of incentive, foods eligible for incentive redemption, type of retail venue), and study outcomes related to FV purchases/consumption were entered in a standardized chart. Eleven of the 19 studies had enrollment processes to receive the incentive, and most studies (17/19) provided the incentive in the form of a token, coupon, or voucher. The value of the incentives varied, but was usually offered as a match. Incentives were typically redeemable only for FV, although three studies required an FV purchase to trigger the delivery of an incentive for any SNAP-eligible food. Finally, most studies (16/19) were conducted at farmers’ markets. Eighteen of the 19 studies reported a positive impact on participant purchase and/or consumption of FV. Overall, this scoping review provides insights intended to inform the design, implementation, and evaluation of future FV incentive programs targeting SNAP participants; and demonstrates the potential effectiveness of FV incentive programs for increasing FV purchase and consumption among vulnerable populations.

Helping Parents Navigate the Early Childhood Education Enrollment Process: Experimental Evidence From New Orleans

Enrolling in publicly funded early childhood education involves searching for programs, applying, verifying eligibility, and registering with the program. Many families do not complete this process, despite demonstrated interest. In this study, we assessed support for families as they verify eligibility as a means for increasing enrollment completion rates. Working with district administrators, we randomly assigned families to receive either (a) the district’s usual, modest communications; (b) the usual communications plus weekly text message reminders with a formal tone; or (c) the usual communications plus weekly personalized, friendly text message reminders. Text message reminders increased verification rates by seven percentage points (regardless of tone), and personalized messages increased enrollment rates for some groups. Exchanges between parents and administrators revealed the obstacles parents confronted.

Triangle of Healthy Caregiving for Veterans With Spinal Cord Injury: Proposal for a Mixed Methods Study

BackgroundSpinal cord injury (SCI) is a debilitating injury that results in chronic paralysis, impaired functioning, and drastically altered quality of life (QOL). The Department of Veterans Affairs (VA) estimates that approximately 450 newly injured veterans and active-duty members receive rehabilitation at VA’s Spinal Cord Injury/Disorders Centers annually. VA virtual health services use technology and health informatics to provide veterans with better access and more effective care management. The “Triangle of Healthy Caregiving for SCI Veterans” is a patient-centered intervention that incorporates SCI veterans’ caregivers into the VA SCI health care team and extends into the homes of veterans with SCI by using real-time clinical video teleconferencing (CVT). CVT facilitates video-clinic visits, which can include different types of clinical evaluations, therapy (physical/occupational), or psychosocial services. The “Triangle of Healthy Caregiving for SCI Veterans” builds on interactive, interdisciplinary health care relationships that exist between the veterans with SCI, their caregivers, and the VA SCI health care team. SCI veterans’ propensity to multiple secondary complications makes a healthy partnership crucial for the success of keeping better health and functional outcomes as well as quality of life while living in their homes.ObjectiveThe goal of the proposed mixed methods project will assess SCI veterans’, their caregivers’, and the VA health care team’s perspectives and experiences in the “Triangle of Healthy Caregiving for SCI Veterans” to determine the benefits, challenges, and outcomes for everyone involved in the intervention.MethodsData collection methods will be implemented over three sequential phases. First, in-depth interviews will be conducted with the telehealth coordinators to systematically document the administrative procedures involved in enrollment of veterans with SCI into the CVT system. Next, structured observation of the CVT enrollment process and logistics of home installation of the CVT system will be conducted to validate the content of the in-depth interviews and highlight any discrepancies observed. Semistructured interviews will be conducted to assess specific elements of the “Triangle of Healthy Caregiving for SCI Veterans” program, their perceived utility, and effectiveness of the CVT system as well as the general impressions of the impact of the intervention on the SCI veterans’ health and function outcomes, caregiver burden, and daily caregiver burden. Finally, the research team will conduct a focus group to evaluate the ways in which the “Triangle of Healthy Caregiving for SCI Veterans” is useful for health care delivery to veterans with SCI and support services to SCI caregivers.ResultsThis proposal was funded in July 2017. It was reviewed and received institutional review board approval in March 2018, and the project was started immediately after, in the same month. As of September 2019, we have completed Phases I and III and have recruited 52 subjects for Phase II. We are beginning the data analysis. The study is projected to be completed in late summer of 2020, and the expected results are to be published in the fall of 2020.ConclusionsThe findings from this study will highlight the ways in which virtual health care technologies can be used to improve access to SCI specialized care for veterans and provide an estimation of the potential impact on clinical outcomes for veterans with SCI and their caregivers.International Registered Report Identifier (IRRID)DERR1-10.2196/14051

Computer Vision on IOT Based Patient Preference Management System

Patient preference management is an essential work for any healthcare scheme to give priority to the needy patient. The work is generally carryout by a caretaker in the healthcare block to enroll their details of the patient on computer to find out and suggest an available consultant and time slot for the patient. These kind of usual works can be helpful up to certain normal conditions only. During uncertain times like viral explosion or war or nature disaster, the usual system will make the patient to wait in a queue for enrollment process. Most of the time it is intolerable to make a severe injured person to wait in the queue for the treatment. At the same time, during viral explosion the people were asked to stay at their home and for treatment they have to make a phone call to the care taking team for expressing their situation and health status. Attending a huge number of phone calls manually and providing a good suggestion to the caller is a challenging work for any healthcare team. The proposed IoT based computer vision system suggests the patient to send their status through a mobile phone message or email to the healthcare server to segregate the status of patient as emergency, severe and follow-up categories. This makes the healthcare team to identify the needy patient at right time to serve them. The proposed system is simulated with different computer vision algorithm and analyses its accuracy, time delay and drop rate to make a reliable patient preference management system.

Innovative Methods in Delivering Pre-Exposure Prophylaxes Services for Adolescent Girls and Young Women: Outcomes from the Consumer Demand – Driven Project in Nairobi County, Kenya

Background: There is high HIV prevalence among adolescent girls and young women (AGYW) aged 15-24years, accounting for 21% of 88,000 new HIV infections in Kenya. With funding from the US Department of State (DOS), BHESP implemented a two-year project to deliver Pre-Exposure Prophylaxis (PrEP) for AGYW in Nairobi. The objective of the evaluation was to establish effectiveness of the innovation in raising demand and expanding access to PrEP. Methods: A mixed-method study design was applied, utilising quantitative and qualitative data. A random sample of 213 AGYW took part in a satisfaction survey, while semi-structured focus group discussions (FGDs) were carried out with AGYW and peer educators. Review of program secondary data was also done. Quantitative data was analysed using MS Excel, while thematic analysis applied for qualitative data. Results: BHESP reached 30,455 community members with HIV and PrEP information, majority of whom were females (67.2%). HIV counselling and testing was done for 29,241community members, comprising 17,834 (70.0%) AGYW. Of these, 5126persons were newly enrolled in PrEP, including 4957 (97.8%) AGYW. Barriers to access and continuation of services were side effects; 110 (55.6%) and time constraints; 102 51.8%. Enabling factors were reminders calls from service providers; 147 (72%) and risk reduction; 147 (72%). Satisfaction levels was high, with 208 (98.6%) of expressing overall satisfaction, specifically in enrolment process; 192(90.3%), service delivery; 194 (90.9%), and quality of services; 198 (92.8%). Conclusion: The innovation was successful in raising awareness and enhancing uptake of PrEP. Profiling and follow-up of AGYW are critical in defining and tracking continuation. We recommend further insights gathering on factors affecting PrEP continuation and the most effective ways of involving males to catalyse overall success.

New Aadhaar with Multimodal Biometric Model-Based E-Voting System with Dynamic Hybrid IANFIS-PSO

This work deals with the E-voting system with a biometric concept that will make the voting system smart, secure and easy to vote which can be linked with Aadhaar card. While the process of doing the Aadhaar enrolment process Authorities gathered information of fingerprints and iris of every character and this whole fact of every person persists in the Indian government database. However these two biometric is not enough for the voter authentication process, besides improving the recognition rate, combining multimodal biometric modalities might be more appropriate for E-voting applications. If the Indian Government link this database to the voter ID present in these days vote casting gadget, then all of us can easily forge their votes the use of multimodal biometric authentication. With this motivation, the new Aadhaar with multimodal biometric-based E-voting systems (AMBEVS) system is designed in this work and it allows users to be confirmed using either modality. Here the validation of the voters is verified with the use of Dynamic Hybrid ANFIS-PSO. A critical function and objective of the proposed gadget are to decorate the photograph high-quality and low diploma of complexity for the security of multimodal biometric reputation frameworks. The experimental results show that the proposed AMBEVS are more robust, reliable and accurate as compared to the unimodal based biometric systems.

An Administration of the New Electronic Identity Management System in Southwestern Nigeria

The implementation phase of any policy either at the global, national, regional or organizational level has one important driving force, the policy strategies. They serve as the mapping hedge for controlling potential deviation or shortfall from the policy targets using the policy outcomes as the checker. Drawing its strength from a wide gap between the targets and outcomes of the National Policy on Identification System in Nigeria, this paper examines the policy strategies employed by the relevant agency for the ongoing implementation of the new Identification System using a qualitative and quantitative method. 31 staff of the National Identity Management Commission (NIMC) representing 10% of the study population (311) was administered with a closed-ended questionnaire, and in-depth interview conducted among some senior officers of the Commission. Percentages and narrative analysis were used to analyse the data. Findings showed that deployment of a user-friendly pre-enrollment electronic interface (57.1%); deployment of national ICT infrastructure (57.1%); inter-agencies collaboration (50%) were the only effective strategies among those identified by the study. The study submitted that most of the existing implementation strategies employed for the new Identification Policy in Nigeria are not effective. It further recommended among others decentralization of the enrollment process as well as an effective deployment of mobile registration centers to fast-track attainment of the targets set out in policy under review.

Centralized statistical monitoring of clinical trial enrollment performance

A novel analytic methodology for centralized statistical monitoring of the clinical trial interim enrollment performance is developed. The underlying technique uses a Poisson-gamma (PG) enrollment model developed by Anisimov and Fedorov in the previous publications. This technique is extended to modeling clinical centers performance and detecting outliers (low and high enrolling centers) using interim enrollment data and different approaches (P-values, 2D-classification). To analyze country/region performance, a new technique based on the approximation of the enrollment process in country/region by a PG process with aggregated parameters is developed. The developed methodology is applied to the analysis of the interim enrollment performance of a real clinical trial. The results support the efficiency of using this methodology in monitoring of various enrollment characteristics.

A School Choice Experience at the Age of 'Parentocracy': Impressions from a Public Primary School in Turkey

This article investigates the school choice practices of middle-class[1] parents. It aims to find out what kind of strategies and practices parents have in the school choice process. For this aim, data were obtained through interviews with parents of students attending a primary school in an affluent area in Ankara. The results of the study show that parents with adequate economic, social and cultural capital are influential in their children's educational processes and develop various strategies for school choice. They strive to choose the best school they think will contribute to their children in gaining a better position in the labour market in the future. It is noteworthy that the most important factor in primary school choice is teacher quality. This is followed by features such as the location of the school, teacher-student relationship, security and the physical facilities in the school. The social capital of parents has an important part in the school choice process and the social networks in which they are involved determine the school choice processes considerably. Since the enrolment of students in primary schools in Turkey is address-based, parents wishing to enrol their children in other schools develop various strategies during the enrolment process, notably “address change”. [1] Although defining middle class is quite difficult and controversial, an operational definition can be made with reference to lifestyle, education, occupation, income, culture and consumption habits. In this study, middle class refers to people who are educated, having a profession, having middle income, living in an affluent area and joining cultural activities.

The Impact of Music and Memory on Resident Level Outcomes in California Nursing Homes

ObjectivesTo study the effects of a nonpharmacologic intervention, Music and Memory (M&M), on residents with dementia and/or behavioral problems living in nursing homes (NHs). DesignThis was a prospective, mixed-methods cohort study. Setting and ParticipantsIn total, 4107 residents in 265 California NHs and that reported data at least twice during the 3-year study period were enrolled. MeasuresWe used a quarterly rolling enrollment process; participants provided data at baseline and quarterly via an online survey that included select resident level data from the Minimum Data Set (psychotropic drug use, cognition, behaviors, mood, pain, and falls), experience with the M&M program, and resident use of music. NHs were eligible if they were Medicare- and Medicaid-certified and had 15 residents with a diagnosis of dementia or cognitive impairment or exhibited significant behavioral symptoms. ResultsM&M was associated with reductions in psychotropic medication use, reduced behaviors, and improved mood. The odds of antipsychotic use declined by about 11%, of antianxiety medications by 17%, and antidepressants by 9% per quarter. Aggressive behaviors, depressive symptoms, pain, and falls also declined significantly over time. The odds of residents exhibiting aggressive behaviors declined by 20% per quarter, depressive symptoms by 16%, reported pain by 17%, and falls by 8%. Conclusions and ImplicationsThis is the largest study of M&M to date. We found clinically and statistically significant reductions in psychotropic medications and improved behaviors in residents using M&M. Although the study showed positive results overall, the lack of a control group was a significant limitation that precluded determining how much more improvement participating residents experienced compared with nonparticipants. Future studies should include a control group so that better conclusions can be drawn regarding the effectiveness of the M&M program.

Clinical Profile and Outcome of Adult Patients with Scrub Typhus in a Tertiary Care Centre of Eastern Nepal: A Descriptive Cross-sectional Study.

Scrub typhus is an under-diagnosed and undertreated zoonotic human infection. There are no data related to profile of adult patients in Nepal. We conducted this study to report socio-demographic, clinical profile and complications of scrub typhus in our scenario. This was a descriptive cross-sectional study carried out in Nobel Medical College Teaching Hospital, eastern Nepal. The sample enrollment process was consecutively who were admitted under medical ward and intensive care unit. Diagnosis was established serologically with positive test of IgM antibodies against scrub typhus using immuno-chromatography. Operational definitions for organ system dysfunction were based upon simple available clinic laboratory profiles and imaging. Collected data were entered in Microsoft Excel 2007 and converted it into Statistical Package for Social Science 11.5 Version for statistical analysis. A total of 47 patients were analyzed during this study. Diagnosis of scrub typhus was more common 17 (36.17%) in age group of (40-60 years) with female predominance 32 (68.08%). Most patients (70.15%) were of above 40 years. Fever 47 (100%), asthenia 40 (85.10%), generalized body-ache 41 (87.23%), anorexia 46 (97.87%) and headache 39 (82.97%) were present in most of our patients at sometime during their illness. Respiratory dysfunction was the commonest 37 (78.72%) system dysfunction followed by renal 30 (63.82%) and hepatic 20 (42.55%) impairment. Fortunately no deaths occurred. Scrub typhus occurred more commonly in elderly female patients. Early empirical treatment may prevent mortality. Large studies involving whole country is needed to see real scenario of disease in this setting.

Abstract TP292: Effect of Improved Management Strategies on Study Retention Rates

Introduction: Average national dropout rates of participants enrolled in a research trial are reported to be 30%. Factors contributing to loss of stroke patient retention include the lack of understanding of study expectations, lack of relationship building between patient and clinical research team, and inefficient management processes. There has been little research into interventions to improve retention. Focusing on these 3 factors may increase the likelihood of stroke patients adhering to and completing participation in stroke trials. The University of Utah Stroke Center became a StrokeNet regional coordinating center in October 2013. As study trials increased, we recognized the need to implement new trial management strategies and did so in January 2016. Methods: Stroke trial metrics were compared between the pre-implementation period (7/1/2012 - 12/31/2015) and a post-implementation period (1/7/2016 - 7/1/2019). The size of clinical research team personnel remained the same across the two periods: 4 coordinators and 9 physicians. Standardization of enrollment processes in stroke trials occurred during the post-implementation period. Three key aspects addressed in the post-implementation period were building rapport, setting realistic expectations, and properly educating patient and family members. The clinical research team incorporated these factors when approaching patients regardless of type of stroke trial (acute, subacute, or observational). Results: During the pre-implementation period, the Stroke Center research team managed 8 stroke studies with 52 patients consented with average trial duration of 23 months (SD); in the post-implementation period, there were 15 studies with 99 patients consented, with average trial duration of 22 months (SD). Retention improved after the intervention from a mean (SD) retention rate of 79.5 (29.7) %. to 90.8 (17.2) %. Although this difference was not significant, it represented meaningful change to the research staff and helped us achieve StrokeNet retention goals. Conclusion: Implementation of effective management strategies leads to higher retention rates of stroke patients despite no change in the size of the clinical research team.

Design of a Mobile Application for the School Enrollment Process in Order to Prevent Covid-19

In 2020, a great change occurred around the world due to the covid-19 pandemic, daily activities were restructured and thanks to technological advance it has been an ideal means to carry out remote work With regard to education in Peru, it was paralyzed for a long time and only obtained in later months the option of video offerings software for the interaction of teachers and students, given these new activities carried out In schools, we are proposing a mobile application prototype that is adaptable to any school in Peru in order to facilitate the registration process of parents for their children due to the global crisis that we are going through Parents will have a follow-up and ideal control for your children The methodology that will help us to carry out this application will be the agile methodology with the scrum framework, since it adapts to the needs of the client, and to the constant changes in the development process of the mobile application Since high student demand requires fast delivery of the application with cost and time efficiency The mobile application to which students and tutors will be automatically transferred will have easy access to use it in the registration processes and in their academic controls Our task is created in three points of view, student, tutor and teacher The student was validated, with the registration or registration and login for the students already registered Where the student can validate their personal data already registered and see their school monitoring, such as grades, attendance, courses, schedules and payments The result obtained is the proposal of a productive approach, optimizing the license plate control processes, through a mobile application, where each agent can perform this function, and thus reduce the risk of contagion in these moments of pandemic And so, in this way, interconnect all the enrollments, the benefactors in a system, saving their information and the data of the students With these results, it will be of great benefit for the school to minimize the time and thus increase the competitiveness between the schools, also for the parents and for the students who despite the difficulties continue to progress in life © 2020 ASTES Publishers All rights reserved

VOICE BIOMETRIC IDENTITY AUTHENTICATION MODEL FOR IOT DEVICES

Behavioral bio-metric authentication is considered as a promising approach to securing the internet of things (IoT) ecosystem. In this paper, we investigated the need and suitability of employing voice recognition systems in the user authentication of the IoT. Tools and techniques used in accomplishing voice recognition systems are reviewed, and their appropriateness to the IoT environment are discussed. In the end, a voice recognition system is proposed for IoT ecosystem user authentication. The proposed system has two phases. The first being the enrollment phase consisting of a pre-processing step where the noise is removed from the voice for the enrollment process, the feature extraction step where feature traits are extracted from user’s voice, and the model training step where the voice model is trained for the IoT user. And the second being the phase verifies whether the identity claimer is the owner of the IoT device. Based on the resources limitedness of the IoT technologies, the suitability of text-dependent voice recognition systems is promoted. Likewise, the use of MFCC features is considered in the proposed system.