175 research outputs found

    XV International Conference on Mathematics, Science and Technology Education

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    This paper introduces the Proceedings of the XV International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2023), which took place at the Kryvyi Rih State Pedagogical University, Ukraine, from 17 to 19 May 2023. It provides background information and the organizational structure of the conference, as well as the structure of the proceedings. It also acknowledges the many people who contributed to the success of the conference

    Robobo SmartCity: An Autonomous Driving Model for Computational Intelligence Learning through Educational Robotics

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    © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.[Abstract]: This paper presents the Robobo SmartCity model, an educational resource to introduce students in Computational Intelligence (CI) topics using educational robotics as the core learning technology. Robobo SmartCity allows educators to train learners in Artificial Intelligence (AI) fundamentals from a feasible and practical perspective, following the recommendations of digital education plans to introduce AI at all educational levels. This resource is based on the Robobo educational robot and an autonomous driving setup. It is made up of a city mockup, simulation models, and programming libraries adapted to the students' skill level. In it, students can be trained in CI topics that support robot autonomy, as computer vision, machine learning, or human-robot interaction, while developing solutions in the motivating and challenging scope of autonomous driving. The main details of this open resource are provided with a set of possible challenges to be faced in it. They are organized in terms of the educational level and students’ skills. The resource has been mainly tested with secondary and high school students, obtaining successful learning outcomes, presented here to inspire other teachers in taking advantage of this learning technology in their classes.Xunta de Galicia; ED431G 2019/01This work has been partially funded by the Erasmus+ Programme of the European Union through grant number 2019-1-ES01-KA201-065742, and the Centro de Investigación de Galicia "CITIC", funded by Xunta de Galicia and the European Union (European Regional Development Fund- Galicia 2014-2020 Program), by grant ED431G 2019/01. In addition, the “Programa de ayudas a la etapa predoctoral” from Xunta de Galicia (Consellería de Cultura, Educación y Universidad) supported this work through Sara Guerreiro’s grant

    Integration of a cellular Internet-of-Things transceiver into 6G test network and evaluation of its performance

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    Abstract. This thesis focuses on the integration and deployment of an aftermarket cellular IoT transceiver on a 6G/5G test network for the purpose of evaluating the feasibility of such device for monitoring the network performance. The cellular technology employed was NB-IoT paired with a Raspberry Pi device as the microprocessor that collects network telemetry and uses MQTT protocol to provide constant data feed. The system was first tested in a public cellular network through a local service provider and was successfully connected to the network, establishing TCP/IP connections, and allowing internet connectivity. To monitor network information and gathering basic telemetry data, a network monitoring utility was developed. It collected data such as network identifiers, module registration status, band/channel, signal strength and GPS position. This data was then published to a MQTT broker. The Adafruit IO platform served as the MQTT broker, providing an interface to visualize the collected data. Furthermore, the system was configured for and deployed on a 6G/5G test network successfully. The device functionality that was developed and tested in the public network remained intact, enabling continuous monitoring and analysis of network data. Through this study, valuable insights into the integration and deployment of cellular IoT transceivers into cellular networks that employ the latest IoT technology were gained. The findings highlight the feasibility of utilizing such a system for network monitoring and demonstrate the potential for IoT applications in cellular networks

    Reconfigurable SRTM System for Road Traffic in Kingdom of Bahrain

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    "jats:p"This paper presents reconfigurable hardware architecture for smart road traffic system based on Field Programmable Gate Array (FPGA). The design can be reconfigured for different timing of the traffic signals according to the received and collected data read by the different sensors on the road; the design has been described using VHDL (VHSIC Hardware Description Language). The SRTM (Smart Road Traffic Management) System has some more features that help passenger to avoid traffic jamming by sending the collected information through web/mobile applications to find the best road between the start and destination points, which will be displayed on Google maps, at the same time it will also shows the points of traffic jamming on Google maps. SRTM system can also manage emergency vehicles such as ambulance and fire fighter and also can send snapshots and video streaming for different roads and junctions to show the points of traffic jamming. The design has been simulated and tested using ModelSim PE student edition 10.4. Spartan 3 FPGA starter kit from Xilinx has been used for implementing and testing the design in a hardware level. Document type: Articl

    Radar and RGB-depth sensors for fall detection: a review

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    This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field. Systems to detect reliably fall events and promptly alert carers and first responders have gained significant interest in the past few years in order to address the societal issue of an increasing number of elderly people living alone, with the associated risk of them falling and the consequences in terms of health treatments, reduced well-being, and costs. The interest in radar and RGB-D sensors is related to their capability to enable contactless and non-intrusive monitoring, which is an advantage for practical deployment and users’ acceptance and compliance, compared with other sensor technologies, such as video-cameras, or wearables. Furthermore, the possibility of combining and fusing information from The heterogeneous types of sensors is expected to improve the overall performance of practical fall detection systems. Researchers from different fields can benefit from multidisciplinary knowledge and awareness of the latest developments in radar and RGB-D sensors that this paper is discussing

    Multimedia sensors embedded in smartphones for ambient assisted living and e-health

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    The final publication is available at link.springer.com[EN] Nowadays, it is widely extended the use of smartphones to make human life more comfortable. Moreover, there is a special interest on Ambient Assisted Living (AAL) and e-Health applications. The sensor technology is growing and amount of embedded sensors in the smartphones can be very useful for AAL and e-Health. While some sensors like the accelerometer, gyroscope or light sensor are very used in applications such as motion detection or light meter, there are other ones, like the microphone and camera which can be used as multimedia sensors. This paper reviews the published papers focused on showing proposals, designs and deployments of that make use of multimedia sensors for AAL and e-health. We have classified them as a function of their main use. They are the sound gathered by the microphone and image recorded by the camera. We also include a comparative table and analyze the gathered information.Parra-Boronat, L.; Sendra, S.; Jimenez, JM.; Lloret, J. (2016). Multimedia sensors embedded in smartphones for ambient assisted living and e-health. Multimedia Tools and Applications. 75(21):13271-13297. doi:10.1007/s11042-015-2745-8S13271132977521Acampora G, Cook DJ, Rashidi P, Vasilakos AV (2013) A survey on ambient intelligence in healthcare. Proc IEEE 101(12):2470–2494Al-Attas R, Yassine A, Shirmohammadi S (2012) Tele-Medical Applications in Home-Based Health Care. In proceeding of the 2012 I.E. International Conference on Multimedia and Expo Workshops (ICMEW 2012). Jul. 9–13, 2012. Melbourne, Australia. (pp. 441–446)Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: a survey. Comput Netw 54(15):2688–2710Alqassim S, Ganesh M, Khoja S, Zaidi M, Aloul F, Sagahyroon A (2012) Sleep apnea monitoring using mobile phones. 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IGI GlobalGregoski MJ, Mueller M, Vertegel A, Shaporev A, Jackson BB, Frenzel RM, Treiber FA (2012) Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. Int J Telemed Appl 2012, 1. Article ID 696324Grimaldi D, Kurylyak Y, Lamonaca F, Nastro A (2011) Photoplethysmography detection by smartphone’s videocamera. In proceedings of the 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IEEE IDAACS 2011), Sep. 15–17, 2011. Prague, Czech Republic. (Vol. 1, pp. 488–491)Gurrin C, Qiu Z, Hughes M, Caprani N, Doherty AR, Hodges SE, Smeaton AF (2013) The smartphone as a platform for wearable cameras in health research. Am J Prev Med 44(3):308–313Haché G, Lemaire ED, Baddour N (2011) Wearable mobility monitoring using a multimedia smartphone platform. IEEE Trans Instrum Meas 60(9):3153–3161Heathers JA (2013) Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological research. Int J Psychophysiol 89(3):297–304Hoseini-Tabatabaei SA, Gluhak A, Tafazolli R (2013) A survey on smartphone-based systems for opportunistic user context recognition. ACM Comput Surv (CSUR) 45(3):1–51, Paper No. 27Illiger K, Hupka M, von Jan U, Wichelhaus D, Albrecht UV (2014) Mobile technologies: expectancy, usage, and acceptance of clinical staff and patients at a University Medical Center. JMIR mHealth uHealth 2(4), e42Kanjo E (2012) Tools and architectural support for mobile phones based crowd control systems. Netw Protoc Algoritm 4(3):4–14Kawano Y, Yanai K (2014) FoodCam: a real-time food recognition system on a smartphone. 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    Exploring Software Engineering Subjects by Using Visual Learning Analytics Techniques

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    [EN]The application of the Information and Communication Technologies to teaching and learning processes is linked to the development of new tools and services that can help students and teachers. Learning platforms are a clear example of this. They are very popular tools in eLearning contexts and provide different kinds of learning applications and services. In addition, these environments also register most of the interactions between the learning process stakeholders and the system. This information could potentially be used to make decisions but usually it is stored as raw data, which is very difficult to understand. This work presents a system that employs visual learning analytic techniques to facilitate the exploitation of that information. The system presented includes several tools that make possible to explore issues such as: when interaction is carried out, which contents are the most important for users, how they interact with others, etc. The system was tested in the context of a software engineering subject, taking into account the stored logs of five academic years. From this analysis it is possible to see how visual analytics can help decision-making and in this context how it helps to improve educational processes

    IoT-HASS: A Framework For Protecting Smart Home Environment

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    While many solutions have been proposed for smart home security, the problem that no single solution fully protects the smart home environment still exists. In this research we propose a security framework to protect the smart home environment. The proposed framework includes three engines that complement each other to protect the smart home IoT devices. The first engine is an IDS/IPS module that monitors all traffic in the home network and then detects, alerts users, and/or blocks packets using anomaly-based detection. The second engine works as a device management module that scans and verifies IoT devices in the home network, allowing the user to flag any suspect device. The third engine works as a privacy monitoring module that monitors and detects information transmitted in plaintext and alerts the user if such information is detected. We call the proposed system IoT-Home Advanced Security System or IoT-HASS for short. IoT-HASS was developed using Python 3 and can be implemented in two modes of operation. The in-line mode allows the IoT-HASS to be installed in-line with the traffic inside a Raspberry Pi or a Router. In the in-line mode IoT-HASS acts as an IPS that can detect and block threats as well as alert the user. The second mode is the passive mode where IoT-HASS in not installed in-line with the traffic and can act as an IDS that passively monitors the traffic, detecting threats and alerting the user, but not blocking the attack. IoT-HASS was evaluated via four testing scenarios. It demonstrated superior performance in all testing scenarios in detecting attacks such as DDoS attacks, Brute Force Attacks, and Cross Site Scripting (XSS) Attacks. In each of the four test scenarios, we also tested the device management functionality, which we found to successfully scan and display IoT devices for the homeowner. The extensive evaluating and testing of IoT-HASS showed that IoT-HASS can successfully run in a small device such as a Raspberry Pi, and thus, it will most likely run in an embedded device as an IoT device. Our future research will concentrate on strengthening the current features of IoT-HASS to include additional functionalities

    Digital twins for technological lines in «smart city»

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    Дипломна робота присв’ячена розробленню інформаційної технології з використанням цифрових двійників для технологічних ліній в «розумному місті».Дипломна робота присв’ячена розробленню інформаційної технології з використанням цифрових двійників для технологічних ліній в «розумному місті».ВСТУП 8 1 АНАЛІЗ ПРЕДМЕТНОЇ ОБЛАСТІ 11 1.1 Інформаційні системи в проектах класу «Розумне місто» 11 1.2 Опис концепції та визначення поняття «Цифровий двійник» 16 1.3 Цінність створення цифрових двійників в середовищі «розумного міста» 17 1.4 Переваги від використання цифрових двійників у проектах «розумних міст» 18 1.5 Формування мета та завдань дослідження 21 1.6 Висновки до першого розділу 21 2 ВИРОБНИЧІ ПРОЦЕСИ «РОЗУМНИХ МІСТ», «ВЕЛИКІ ДАНІ», ПРОЦЕС СТВОРЕННЯ ТА АРХІТЕКТУРА ЦИФРОВОГО ДВІЙНИКА 23 2.1 Виробничі процеси «розумних міст» на основі цифрових двійників 23 2.2 Процес створення цифрового двійника в міському середовищі 25 2.2.1 Концептуальна архітектура міського цифрового двійника 26 2.2.2 Цифровий потік в інформаційному середовищі «розумного міста» 29 2.2.3 Оптимальний підхід до побудови «розумного» цифрового двійника 30 2.3 Процес прийняття муніципальних рішень на основі цифрового двійника 31 2.4 Загальна архітектура «розумного» цифрового двійника 33 2.5 Цифровий двійник як система опрацювання «Великих даних» «розумного міста» 35 2.5.1 Узагальнена архітектура опрацювання «великих даних» у системах класу «розумне місто» 36 2.5.2 Лямбда-архітектура опрацювання «Великих даних» в «розумному місті» 38 2.5.3 Каппа-архітектура опрацювання «Великих даних» в «розумному місті» 40 2.5.4 Пакетне опрацювання «Великих даних» у «розумному місті» 41 2.5.5 Потокове опрацювання «Великих даних» у «розумному місті» 41 2.6 Архітектура міського цифрового двійника 43 2.7 Алгоритмічна динамічна трансформація часової шкали в «розумному місті» 44 2.8 Висновки до другого розділу 46 3 РЕАЛІЗАЦІЯ ЦИФРОВИХ ДВІЙНИКІВ ДЛЯ «РОЗУМНИХ МІСТ» 47 3.1 Використовувані апаратно-програмні засоби хмарної платформи «розумного міста» 47 3.2 Розроблення програмного забезпечення «розумного» цифрового двійника 48 3.3 Розміщення застосунків у хмарній інфраструктурі «розумного міста» 57 3.4 Висновок до третього розділу 58 4 СПЕЦІАЛЬНА ЧАСТИНА 59 4.1 Тестування продуктивності розробленої інформаційно-технологічної платформи 59 4.2 Висновок 63 5 ОБҐРУНТУВАННЯ ЕКОНОМІЧНОЇ ЕФЕКТИВНОСТІ 64 5.1 Розрахунок норм часу на виконання науково-дослідної роботи 64 5.2 Визначення витрат на оплату праці та відрахувань на соціальні заходи 65 5.3 Розрахунок матеріальних витрат 69 5.4 Розрахунок витрат на електроенергію 70 5.5 Розрахунок суми амортизаційних відрахувань 70 5.6 Обчислення накладних витрат 71 5.7 Складання кошторису витрат та визначення собівартості науково-дослідницької роботи 72 5.8 Розрахунок ціни проведених науково-дослідних робіт 73 5.9 Визначення економічної ефективності і терміну окупності капітальних вкладень 74 5.10 Висновок 75 6 ОХОРОНА ПРАЦІ ТА БЕЗПЕКА В НАДЗВИЧАЙНИХ СИТУАЦІЯХ 77 6.1 Професійне «вигорання» працівників галузі інформаційних технологій 77 6.2 Вимоги до профілактики медичних оглядів 79 6.3 Оцінка стійкості роботи промислового підприємства до дії світлового випромінювання ядерного вибуху 82 6.4 Забезпечення захисту працівників суб’єкта господарювання від іонізуючих випромінювань 85 6.5 Висновок 88 7 ЕКОЛОГІЯ 89 7.1 Статистика екології об'єктів природного середовища 89 7.2 Абсолютні показники екологічних явищ 91 7.3 Висновок до розділу «Екологія» 95 ВИСНОВКИ 96 ПЕРЕЛІК ДЖЕРЕЛ 98 ДОДАТК
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