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Showing papers by "Nicolae Goga published in 2021"


Proceedings ArticleDOI
24 Feb 2021
TL;DR: In this article, the requirements and the value are determined for the proposed system, which integrates a smart bracelet that helps to signal patient vital signs, and the future work will involve implementing the design based on the results of this study and use machine-learning algorithm to better detect the COVID-19 cases based on monitoring of vital signs and symptoms.
Abstract: Technology adoption in healthcare services has resulted in advancing care delivery services and improving the experiences of patients. This paper presents research that aims to find the important requirements for a remote monitoring system for patients with COVID-19. As this pandemic is growing more and more, there is a critical need for such systems. In this paper, the requirements and the value are determined for the proposed system, which integrates a smart bracelet that helps to signal patient vital signs. (376) participants completed the online quantitative survey. According to the study results, Most Healthcare Experts, (97.9%) stated that the automated wearable device is very useful, it plays an essential role in routine healthcare tasks (in early diagnosis, quarantine enforcement, and patient status monitoring), and it simplifies their routine healthcare activities. I addition, the main vital signs based on their expert opinion should include temperature (66% of participants) and oxygenation level (95% of participants). These findings are essential to any academic and industrial future efforts to develop these vital wearable systems. The future work will involve implementing the design based on the results of this study and use machine-learning algorithm to better detect the COVID-19 cases based on the monitoring of vital signs and symptoms.

8 citations


Journal ArticleDOI
TL;DR: In this article, a short overview of the molecular dynamics (MD) method and how it can be used to model the water splitting process in photoelectrochemical hydrogen production is provided. And the current state-of-the-art where further developments will be needed for better utilization of MD techniques in the field of water splitting.
Abstract: In this review, we provide a short overview of the Molecular Dynamics (MD) method and how it can be used to model the water splitting process in photoelectrochemical hydrogen production. We cover classical non-reactive and reactive MD techniques as well as multiscale extensions combining classical MD with quantum chemical and continuum methods. Selected examples of MD investigations of various aqueous semiconductor interfaces with a special focus on TiO2 are discussed. Finally, we identify gaps in the current state-of-the-art where further developments will be needed for better utilization of MD techniques in the field of water splitting.

6 citations


Proceedings ArticleDOI
01 Jul 2021
TL;DR: In this paper, the authors present a quantitative questionnaire to identify and validate the user's functional and non-functional requirements and to know how users want to interact with the system, and they aim to build inexpensive, lightweight, and smart functional prosthesis arm according to functional and not functional requirements to meet users' goals and requirements.
Abstract: Brain-Computer Interface (BCI) identifies user thinking through different electrophysiological signals. These signals are detected through electrodes placed on the scalp, and the neuronal activity of the cortical is collected by electrodes implanted inside the brain. Regardless of reasons, limbs losses affect a large percentage of the world’s people yearly. The necessity for solutions for those having these conditions can be related to health issues and research. Myoelectric and other types of prostheses are currently in use, but it has some drawbacks like the high-price, heaviness, and the dependency on the intact nerves. These drawbacks can be overcome using electroencephalography (EEG) mind-controlled prosthesis arm. The mind-controlled prosthesis arm uses EEG non-invasive technique which provides powerful help for disabled persons in their daily activities, particularly to help arm amputees move their prosthesis arm easily. In this paper, we present a quantitative questionnaire to identify and validate the user’s functional and non-functional requirements and to know how users want to interact with the system. We aim to build inexpensive, lightweight, and smart functional prosthesis arm according to functional and non-functional requirements to meet users’ goals and requirements. The participants’ interests and recommendations are considered while designing and building a smart functional prosthesis arm system. This is one of the very few surveys that handle the user’s requirements of a mind-controlled prosthesis arm according to the amputees and specialists’ opinions.

4 citations


Proceedings ArticleDOI
01 Jul 2021
TL;DR: In this paper, the authors review the existing research and results for healthcare robotic telepresence and insist on the functionalities, characteristics and interfaces of these devices, with the intention to start developing similar solutions.
Abstract: The healthcare system is a decided target for new technologies because the results are affecting directly human life and quality of life. Robotic telepresence is a robotics domain with an expanding interest and part of it is dedicated to the support of hospital patients and of elders. Because of the continuous functioning, they are fit to persons which require permanent assistance, increasing their care and their quality of life and to persons which are isolated because of communicable infectious diseases, increasing their healthcare in conditions of safety for the others. The concentration on the study of robotic telepresence for healthcare was vastly influenced by the COVID-19 pandemic and solutions using this approach were proposed all around the world. We will review in this paper the existing research and results for healthcare robotic telepresence and we will insist on the functionalities, characteristics and interfaces of these devices, with the intention to start developing similar solutions.

2 citations


Proceedings ArticleDOI
24 May 2021
TL;DR: In this paper, a software application based on the Health Level 7 Fast Healthcare Interoperability Resources standard (HL7 FHIR Questionnaire format) is proposed. But the authors focus on the creation of questionnaires that are used to gather medical data, as well as for quantitative research purposes.
Abstract: Information technology evolved as the years passed by, while interoperability of healthcare information systems remains a challenge. The current paper proposes the conceptualization of a software application based on the Health Level 7 Fast Healthcare Interoperability Resources standard. The intelligent solution named Formisio incorporates the creation of questionnaires that are used to gather medical data, as well as for quantitative research purposes. The paper outlines the system architecture components and the focus was put on components which are related to front end question editor, web based and mobile questionnaire version, back-end editor logic and questions results analyzers. The questionnaires are created and stored in the HL7 FHIR Questionnaire format. The obtained results are saved as HL7 FHIR QuestionnaireResponse resources. Furthermore, medical questionnaires are generated for various types of HL7 FHIR resources.

2 citations


Proceedings ArticleDOI
24 May 2021
TL;DR: In this article, the authors present a different perspective on how the documents can be archived and transmitted and expose the architecture of a system that has more features than common document management systems.
Abstract: Working in the coronavirus COVID-19 pandemic context, the entire world has started to perform their activities in online medium. This current situation has affected multiple industries and made companies realize the need of digitalization of a number vital but time-consuming processes. They are presently found in all activity domains when talking about paperwork and communication between governments and educational institutions. The article is based on the idea that as automation is gaining more and more access into our everyday lives, the old school methods of storing information will soon be replaced by databases of enormous dimensions which can be managed by people. Also, the technology available now, has the methods of helping the bureaucratic processes having as an effect a better communication between citizens and government. The paper presents a different perspective on how the documents can be archived and transmitted. It exposes the architecture of a system that has more features than common document management systems.

2 citations


Proceedings ArticleDOI
TL;DR: In this paper, a drone control system was developed using electroencephalogram signals taken by an Emotiv Insight headset, which is used to collect EEG signals from the user's brain and send them to Raspberry Pi zero via MQTT messaging protocol.
Abstract: When it is tried to control drones, there are many different ways through various devices, using either motions like facial motion, special gloves with sensors, red, green, blue cameras on the laptop or even using smartwatches by performing gestures that are picked up by motion sensors. The paper proposes a work on how drones could be controlled using brainwaves without any of those devices. The drone control system of the current research was developed using electroencephalogram signals took by an Emotiv Insight headset. The electroencephalogram signals are collected from the users brain. The processed signal is then sent to the computer via Bluetooth. The headset employs Bluetooth Low Energy for wireless transmission. The brain of the user is trained in order to use the generated electroencephalogram data. The final signal is transmitted to Raspberry Pi zero via the MQTT messaging protocol. The Raspberry Pi controls the movement of the drone through the incoming signal from the headset. After years, brain control can replace many normal input sources like keyboards, touch screens or other traditional ways, so it enhances interactive experiences and provides new ways for disabled people to engage with their surroundings.

2 citations


Proceedings ArticleDOI
01 Jul 2021
TL;DR: In this article, the authors proposed a platform that unifies professors and students to understand the student needs and improve the student connection with faculty to minimize the dropout rate of foreign students.
Abstract: Faculty of Engineering in Foreign Languages (FILS) proposes a high addressability of students from various countries, education systems, nationalities, and majors, which obviously constitutes an advantage in the university market, including however a substantial dropout rate (20%). When it comes to foreign students, the dropout rate is 22% of the total number of students for the academic year 2018-2019. In most cases, students at risk are either the ones who were accepted with a low grade at the baccalaureate exam (10%) or come from rural areas (25.5%) or are part of disadvantaged socio-economic groups (low-income families, have one or both parents working abroad). To minimize dropout rate, we propose a platform that unites professors and students to understand the student needs and improve the student connection with faculty.

1 citations


Journal ArticleDOI
TL;DR: The quantitative research shows that users found that the MediCare system is suitable for their needs, and the research team wanted to evaluate if the platform meets customers’ needs.
Abstract: Smartphones, digital medical devices, smart bracelets, and mobile applications have emerged in the healthcare field as an effective way to help in the treatment of patients. Healthcare services are characterized by ease of use, low cost, accessibility, mobility, and reliability. The MediCare system was built to enhance healthcare services in the Iraqi environment. The MediCare system can run on smartphones or tablets that operate on Android, but it can also be used as a web application. The research team wanted to evaluate if the platform meets customers‟ needs. Therefore, a usability survey for the MediCare system in regard to healthcare services and underlying technology was done. In this paper, an evaluation and usability measurement of the MediCare system is presented. The quantitative research shows that users found that the system is suitable for their needs. The system is especially necessary now, when the COVID-19 pandemic is a global emergency. © 2021 Karadeniz Technical University. All rights reserved.

1 citations


Proceedings ArticleDOI
01 Jul 2021
TL;DR: In this paper, the authors present a quantitative research related to the user requirements for a software platform that deals with Planning, Optimizing and Monitoring Logistics Vehicle Fleets, which will provide insights for future development.
Abstract: The number of online orders placed by customers have increased rapidly in the last years leading to a transportation logistics problem. The order management process is a challenge for most companies which is why investing in new software smart solutions can give an advantage over competitors. In this article we present a quantitative research related to the user requirements for a software platform that deals with Planning, Optimizing and Monitoring Logistics Vehicle Fleets, which will provide insights for future development. The software platform must have functionalities which are trending on the market and take into consideration the current transportation issues. This paper is based on the work on Eureka project PN-III-P3-3.5-EUK2019-0210.

1 citations


Proceedings ArticleDOI
01 Jul 2021
TL;DR: In this paper, the impact of the pandemic on communication and interpersonal relationships, analysing the case of patients unable to connect with their families, has been analyzed and the possible implementation of a solution that meets all quality standards and norms in order to be used in hospitals.
Abstract: Smart devices play an important role in today's society, from TVs, to vacuum cleaners, people are starting to automate more and more their daily activities. Given that the pandemic context has forced humanity not to limit itself to existing conditions, but to find new solutions in order to get over it, a special attention has been paid to the medical area. In this context, it was observed that most of the time the medical staff was overwhelmed by the large masses of patients from the ICU wards who required more attention and constant complex care. Through this paper we aim to identify the current needs of the medical sector and, based on our analysis we will propose a possible solution to reduce the overload of ICU departments. At the same time, we will focus on the impact of the pandemic on communication and interpersonal relationships, analysing the case of patients unable to connect with their families. Finally, the focus will be on the possible implementation of a solution that meets all quality standards and norms in order to be used in hospitals and to help medical staff, patients and families.

Proceedings ArticleDOI
TL;DR: In this paper, a smart bracelet is used to monitor the blood pressure of pregnant women and other users who wish to have their blood pressure under control, and the system's server analyses the recordings and announces the user, as well as associated persons to the user in case of an emergency.
Abstract: Digital instruments play a vital role in our daily life. It is a routine to produce business papers, watch the news program, write articles and blogs, manage healthcare systems, to purchase online, to send messages and all this is processed by making observations and then manipulating, receiving and availing the diverse data. This electronic data provides the foundation of real time data. All this transmission of data needs to be secured. Security is essential for healthcare systems as the present one where the blood pressure recordings provided by the smart bracelet are sent to the user's mobile phone via Bluetooth. The bracelet monitors the pregnant women, but also other users who wish to have their blood pressure under control. The system's server analyses the recordings and announces the user, as well as the associated persons to the user in case of an emergency. The doctors, the medical staff, user and user's family and caregivers have access to the health recordings belonging to the monitored user. Security is a main feature of the electronic healthcare system based on the smart bracelet.

Proceedings ArticleDOI
TL;DR: In this article, the authors conducted a survey based on a survey completed by persons of different ages and having various specialization domains regarding the use of smart bracelets for detecting preeclampsia.
Abstract: Medical students along with the medical staff have to monitor the state of the patients by using modern devices which have to offer precise results in a short amount of time, so that the intervention to be done as soon as possible. E-learning systems for blood pressure monitoring are used and new methods of patient observation, evaluation and treatment are applied compared to classical intervention. Based on this, medical students can improve their knowledge for the practical training. In the medical activities specialized devices occupy an important place. A device that can monitor the blood pressure is a smart bracelet that incorporates a pressure sensor along the wrist for continuous recording of blood pressure values. This enables the prediction of the emergency disorders using a decision support system. It facilitates the learning of new intervention approaches and boosts the responsiveness among learners. According to the World Health Organization, hypertensive disorders affect about 10% of pregnant women worldwide and are an important cause of disability and long-term death among mothers and children. This paper is based on a survey completed by persons of different ages and having various specialization domains regarding the use of smart bracelets for detecting preeclampsia. The aim is to decide upon its popularity among people and to determine the user requirements. The pregnant women will be constantly monitored, doctors can update the diagnosis of the patient. The medical students can learn from the critical situations and benefit from these cases while learning. The results of the survey showed that most of the interviewed persons consider the existence of such a device to be very useful, mostly the female individuals would feel more comfortable to have their blood pressure monitored during pregnancy.

Proceedings ArticleDOI
TL;DR: In this paper, an electrocephalogram headset is used to trigger the brainwaves, along with a web application which manages the input data which comes from the headset and from the user factors like current activity, mood, focus, stress, relaxation, engagement, excitement and interest are provided in numerical format through the use of the headset.
Abstract: Deficit of attention, anxiety, sleep disorders are some of the problems which affect many persons As these issues can evolve into severe conditions, more factors should be taken into consideration The paper proposes a conception which aims to help students to enhance their brain performance An electrocephalogram headset is used to trigger the brainwaves, along with a web application which manages the input data which comes from the headset and from the user Factors like current activity, mood, focus, stress, relaxation, engagement, excitement and interest are provided in numerical format through the use of the headset The users offer information about their activities related to relaxation, listening to music, watching a movie, and studying Based on the analysis, it was found that the users consider the application easy to use As the users are more equilibrated emotionally, their results are improved This allowed the persons to be more confident on themselves In the case of students, the neurofeedback can be studied for the better sport and artistic performances, including the case of the attention deficit hyperactivity disorder Aptitudes for a subject can be determined based on the relevant generated brainwaves The learning environment is an important factor during the analysis of the results Teachers, professors, students and parents can collaborate and, based on the gathered data, new teaching methods can be adopted in the classroom and at home The proposed solution can guide the students while studying, as well as the persons who wish to be more productive while solving their tasks

Proceedings ArticleDOI
24 May 2021
TL;DR: In this paper, the architectural details for two main components used in the European project E8949 PrEmISES project: the "Analyzing and Indexing Component" plus the "Ontology generation Component" are presented.
Abstract: This paper presents the architectural details for two main components used in the European project E8949 PrEmISES project: the “Analyzing and Indexing Component” plus the “Ontology generation Component”.The main use-cases for each component are given along with the implementation details. To reduce the complexity, each component was split in sub-components with a certain role. In this article, we detail each sub-components and the interaction among them.We based our testing primarily on a black-box methodology that checks the functionality of a system. The purpose of testing is to guarantee that PrEmISES satisfies all agreed requirements, including non-functional requirements. In this article, we present the methodology that checks the functionality of PrEmISES system.

Proceedings ArticleDOI
TL;DR: In this paper, a semantic search engine for relevant documents in an enterprise, based on automatic generated domain ontologies, is proposed, focusing on the component for ontology learning and population.
Abstract: Enterprise knowledge is a key asset in the competing and fast-changing corporate landscape The ability to learn, store and distribute implicit and explicit knowledge can be the difference between success and failure While enterprise knowledge management is a well-defined research domain, current implementations lack orientation towards small and medium enterprise We propose a semantic search engine for relevant documents in an enterprise, based on automatic generated domain ontologies In this paper we focus on the component for ontology learning and population

Proceedings ArticleDOI
TL;DR: In this paper, a comparison of the performance of the two kinds of systems is presented, and it is shown that parallelization on multi-core systems has a performance up to 33 times greater than the one performed on the graphics processing unit.
Abstract: Molecular dynamics facilitates the simulation of a complex system to be analyzed at molecular and atomic levels. Simulations can last a long period of time, even months. Due to this cause the graphics processing units (GPUs) and multi-core systems are used as solutions to overcome this impediment. The current paper describes a comparison done between these two kinds of systems. The first system used implies the graphics processing unit, respectively CUDA with the OpenMM molecular dynamics package and OpenCL that allows the kernels to run on the GPU. This simulation is done on a new thermostat which mixes the Berendsen thermostat with the Langevin dynamics. The second comprises the molecular dynamics simulation and energy minimization package GROMACS which is based on a parallelization through MPI (Message Passing Interface) on multi-core systems. The second simulation uses another new thermostat algorithm related respectively, dissipative particle dynamics - isotropic type (DPD-ISO). Both thermostats are innovative, based on a new theory developed by us. Results show that parallelization on multi-core systems has a performance up to 33 times greater than the one performed on the graphics processing unit. In both cases temperature of the system was maintained close to the one taken as reference. For the simulation using the CUDA GPU, the faster runtime was obtained when the number of processors was equal to four, the simulation speed being 3.67 times faster compared to the case of only one processor.