Fully Automatic MRI Brain Tumor Segmentation

Today in the area of medical research, the care of brain tumor patient attracts a lot of attention. Brain tumor segmentation consists of separating the different brain tumor tissues from normal tissues. In the past, many researchers in the field of medical imaging and soft computing have made significant survey in the field of brain tumor segmentation. Both semiautomatic and fully automatic methods have been proposed. Clinical acceptance of segmentation techniques has depended on the simplicity of the segmentation and the degree of user supervision. Additionally, with the development of particular software tools for automatic segmentation and brain tumor detection, which reduce the doctors’ time spent on manual segmentation, more effective and efficient results are provided. In this paper BraTumIA software tool has been used for automated segmentation on MRI brain tumor images in order to perform fully segmentation by separating different brain tumor tissues from the normal ones

Designing Multi-Agent System Model for University Teaching Activities by Using UML

The area which covers the meaning of intelligent agents and their contribution is a subject of constant changes. Researchers are in a constant race to create intelligent agents that will contribute the most benefits in their life and will represent an extenuating circumstance regarding different complexity level problems, aiming to satisfy people’s needs. Some of them show agent models that\ud are going to be the starting point of future projects, and some give the whole picture of fully functioning agents. This paper gives a review of a systematic approach for\ud designing multi agent system model for university teaching activities using UML approach

Autonomous Devices to Map Rooms and Other Indoor Spaces and Storing Maps in the Cloud

The publication presents a three wheeled robot that has been designed to map rooms, halls and other indoor areas. The device uses an ultrasonic sensor for measuring distance, which is later used for both navigation and obstacle detection. Data were used later to compose a matrix – the schematic map of the room. This map could be uploaded to the cloud for later use by other 3rd party devices so they do not have to redo the mapping process again

Development of the Infocommunication System for the Intelligent Rail Transport System of Dangerous Goods in Hungary

Through the examples of recent accidents in Hungary and abroad, we will reveal the possible reasons for the release of dangerous goods into the environment, and, considering these accidents, we will draw conclusions for the safety of rail transport of dangerous goods. While examining the situation of the rail transport of dangerous goods in Hungary, we will present the fundamental concepts and regulations of the transport of dangerous goods in Europe. Today the system of the transport of dangerous goods greatly relies on manual recording and identification methods. Our aim is to provide the ICT bases for tracking the transport of such goods and monitoring their storage conditions, by making suggestions for the development of a monitoring and tracking system to increase the safety of the rail transport system, provide protection for the critical rail infrastructure and ensure the safety of the transport of dangerous goods

Challenges for development of an ECG m-Health solution

This paper presents the challenges to develop a system for early detection\ud and alerting of the onset of a heart attack. The system consists of a wireless,\ud easily wearable and mobile ECG biosensor, a cloud-based data centre, smartphone\ud and web application. A significant part of the system is the 24h health monitoring\ud and care provided by expert cardiac physicians. The system predicts potential heart\ud attack and sends risk alerts to the medical experts for assessment. If a potential heart\ud attack risk exists, an emergency ambulance is being called with the coordinates of\ud the cardiac patient wearing the sensor. The timely reaction can prevent serious tissue\ud damage or even death to the users of the system.\ud Our goal in this paper is to elaborate the challenges we met and solutions we have\ud developed for development of an m-Health mobile application for detection of abnormalities\ud in the ECG and alerting of a heart attack. The problems analyzed address\ud Low Power Bluetooth connections, number conversion and transmission, decision\ud making on what to be locally processed and what computations to be offloaded\ud to cloud, software architecture, type of initial filtering for obtaining sufficient\ud quality of the ECG signal, and visualization approach with relatively small\ud processing requirements

New model of Electronic Health Record: Macedonian case study

Electronic Health Record (EHR) systems are core applications in any e-Health environment and represent basic services for healthcare information technology platforms. Many EHR introduction projects ran into trouble because of the inappropriate model and concept of implementation, according to the requirements and standards, as well as the lack of the acceptance of the EHR related services among physicians. The aim of this paper is to give a brief overview of the current situation of citizens’ healthcare data and need for the nationwide EHR with focus on R. Macedonia. We are making an analysis of the best practices of EHR's implementation and introduction in many countries in the world. We use these positive and useful experiences in the Macedonian case of EHR's introduction and propose a new collaborative model of EHR for healthcare organizations, adapted to the situation and needs of the Macedonian healthcare information system

An IoT Concept of the Small Virtual Power Plant Based on Arduino Platform and MQTT Protocol

In this paper, a new IoT concept of the small virtual power plant is proposed. The main principle is the smart control of the high-voltage power lines by the low-cost and low-voltage Arduino platform with Mosquitto open-source message broker that implements the secure TCP connection based on MQTT IoT protocol using specific topics, passwords, and SSL cryptography. The C# Windows form app and Arduino sketch were developed with MQTT publisher and subscriber, respectively. The hardware simulation of the proposed concept is realized using the solar panel (12.5 V, 180 mA), two relays SRD-05VDC-SL-C, buck (DC/DC YEC SD200) and buck/boost (DC/DC Tusotek TS-IPS-VO2) converters, and two small power banks (first one is to supply the consumption\ud part simulated by Arduino Uno with LED, second one is to supply the smart power distribution block). The hardware was tested successfully in three regimes: the charge of battery by the solar panel, the power supply of the Arduino Uno board with LED using the power bank or solar panel. The proposed infrastructure can be directly applied to the power off-grid solutions of the smart houses if gridtie inverter is added as well as generation and storage parts are more powerful

Improving Readability of Medical Data by Using Decision Rules

As medical journal abstracts have become more and more difficult to read, there is a burning issue for doctors to get relevant medical information in order to solve a problem in a fast and efficient way. The paper deals with the synthesis of sentences of spoken language from tabular historical data that relate to a specific medical sub domain. In this case Systematic Syntax Classification of\ud Objects or SSCO algorithm was used in order to generate decision rules which were consequently transformed to natural language and delivered to the user by a machine text reader. The system is “hands–free”, reliable, and enables communication by natural language. The experiments were conducted on data sample consisting of patient’s conditions after hip surgery procedure and originating from General hospital “Djordje Joanovic”, Zrenjanin, Serbia

Model for integrating Six Sigma in Manufacturing Execution System in industrial production environment

Manufacturing and assembly organizations today and strategically in the following years will put main focus and investment on the implementation of optimization tasks and traceability systems, to be able to trace the path for development, strength and maintenance of quality. Six Sigma is a methodology consisting of defined phases in which main parts are statistical tools and methods. It is a management and metrical methodology, with main target to visualize and eliminate variations in the process and keeping the process in required control limits. Information systems such as MES – Manufacturing Execution Systems provides the opportunities for identify and monitor this variations available in the processes. Merging this two systems gives opportunities for increased effectiveness and efficiency during the processing and achieving increasing customer expectations

E-Learning Security Risks and its Countermeasures

E-learning, a novel way in the learning process that involves more interaction between the learners and teachers to some extent, in comparison to the traditional education. Moreover, it depends on the Internet technology and executes via web applications. However, network environment is a honey pot to attract many hackers and it may have some potential security risks such as: malicious attacks, hackers and so on. In addition, network security is one of the security issues of E-learning because it is usually concerns with the instructors, learners, trainers who cannot foresee the risks and know how to prevent the threats and the like. This study mainly focuses on the E-learning security issues and the countermeasures to deal with risks towards e-learning-system