Distributed lightning monitoring: an affordable proposal

In theaters and the filmmaking industry, video streams, images, audio streams and scalar data are commonly used. In these fields, one of the most important magnitudes to be collected and controlled is the light intensity in different scene spots. So, it is extremely important to be able to deploy a network of light sensors which are usually integrated in a more general Wireless Multimedia Sensor Network (WMSN). If many light measurements have to be acquired, the simpler and cheaper the sensor, the more affordable theWMSN will be. In this paper we propose the use of a set of very cheap light sensors (photodiodes) and to spectrally and directionally correct their measurements using mathematical methods. A real testing of the proposed solution has been accomplished, obtaining quite accurate light measurements. Testing results are also presented throughout the paper.Telefonica Chair "Intelligence in Networks" of the University of Seville (Spain

Functions of fuzzy logic based controllers used in smart building

The main aim of this study is to support design and development processes of advanced fuzzy-logic-based controller for smart buildings e.g., heating, ventilation and air conditioning, heating, ventilation and air conditioning (HVAC) and indoor lighting control systems. Moreover, the proposed methodology can be used to assess systems energy and environmental performances, also compare energy usages of fuzzy control systems with the performances of conventional on/off and proportional integral derivative controller (PID). The main objective and purpose of using fuzzy-logic-based model and control is to precisely control indoor thermal comfort e.g., temperature, humidity, air quality, air velocity, thermal comfort, and energy balance. Moreover, this article present and highlight mathematical models of indoor temperature and humidity transfer matrix, uncertainties of users’ comfort preference set-points and a fuzzy algorithm

An Approach to QoS-based Task Distribution in Edge Computing Networks for IoT Applications

abstract: Internet of Things (IoT) is emerging as part of the infrastructures for advancing a large variety of applications involving connections of many intelligent devices, leading to smart communities. Due to the severe limitation of the computing resources of IoT devices, it is common to offload tasks of various applications requiring substantial computing resources to computing systems with sufficient computing resources, such as servers, cloud systems, and/or data centers for processing. However, this offloading method suffers from both high latency and network congestion in the IoT infrastructures. Recently edge computing has emerged to reduce the negative impacts of tasks offloading to remote computing systems. As edge computing is in close proximity to IoT devices, it can reduce the latency of task offloading and reduce network congestion. Yet, edge computing has its drawbacks, such as the limited computing resources of some edge computing devices and the unbalanced loads among these devices. In order to effectively explore the potential of edge computing to support IoT applications, it is necessary to have efficient task management and load balancing in edge computing networks. In this dissertation research, an approach is presented to periodically distributing tasks within the edge computing network while satisfying the quality-of-service (QoS) requirements of tasks. The QoS requirements include task completion deadline and security requirement. The approach aims to maximize the number of tasks that can be accommodated in the edge computing network, with consideration of tasks’ priorities. The goal is achieved through the joint optimization of the computing resource allocation and network bandwidth provisioning. Evaluation results show the improvement of the approach in increasing the number of tasks that can be accommodated in the edge computing network and the efficiency in resource utilization.Dissertation/ThesisDoctoral Dissertation Computer Engineering 201

Система адаптивного керування освітленням

При огляді технічної літератури проведено дослідження існуючих систем керування освітлення, їх переваги та недоліки. Також досліджено два методи контролю освітлення: зондування зайнятості та зондування освітленості, що в подальшому використовуються для розробки системи. За результатами аналізу поставленого технічного завдання та огляду науково-технічної літератури підтверджено актуальність створення системи керування освітленням, що дозволить автоматизувати освітлення приміщень та стане вигідним рішенням в питанні економії енергоспоживання. В результаті огляду прийнято рішення про паралельне використання двох типів датчиків в системі: датчиків освітлення та датчиків руху. Розроблено варіанти системи адаптивного керування освітленням з використанням дротового та бездротового зв’язку між компонентами, та прийнято рішення використовувати змішаний тип зв’язку. Розроблено структурну схему системи адаптивного керування освітленням, алгоритм роботи даної системи та написано код для програмного підключення компонентів системи. Можливе подальше доопрацювання даної системи для управління зовнішнім освітленням та у більш складних алгоритмах адаптивного керування з урахуванням даних з датчиків біотелеметричних величин, що враховують особливості користувача.When reviewing the technical literature, a study of existing lighting controls systems, their advantages and disadvantages. Two methods of lighting control were also investigated: employment sensing and light sensing, which are then used to develop the system. According to the results of the analysis of the technical task and review of scientific and technical literature, the relevance of creating a lighting control system was confirmed, which will automate the lighting of premises and will be a profitable solution in terms of energy-saving. As a result of the review, it was decided to use two types of sensors in the system in parallel: light sensors and motion sensors. Variant lighting control options have been developed using wired and wireless communication between components and a decision has been made to use a mixed type of communication. The structural scheme of the adaptive lighting control system, the algorithm of this system operation is developed and the code for software connection of system components is written. It is possible to further refine this system for outdoor lighting control and in more complex adaptive control algorithms, taking into account data from sensors of biotelemetric quantities that take into account user characteristics