Epilepsy is a medical problem that tackles lots of patients. It limits the life activity of such patients due to the seizures that occur anytime and anywhere. Thus, creating a monitoring system that could make their l...
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— Cyber Physical systems (CPS) are predestined for use in Industry 4.0 applications. However, the interaction between the virtual and physical world also creates risks that is essential to be controlled. In highly au...
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Visually impaired people encounter several challenges in their mobility and navigation. Their daily activities are obstructed due to their inability to adapt or recognize accurately their surroundings, especially outs...
Visually impaired people encounter several challenges in their mobility and navigation. Their daily activities are obstructed due to their inability to adapt or recognize accurately their surroundings, especially outside their house which they are more familiar with. Thus, it becomes the main reason of accidents, falling off, getting lost in unknown areas, etc. Furthermore, one of the sensory systems that helps the body to process data about the external environment is the visual system. Blind people also lose touch with the outside world, develops poor motor habits, which results in postural problems as a result. This project will assist visually impaired people in their daily life and simplify normal tasks through a system combining two previously designed projects, “Smart Shoes for Blind and Visually Impaired People”, and “Human posture monitoring device”. The multifunctional system is developed with the goal of securing safe movements for visually impaired people as well as maintaining a good back posture by detecting leaning postures (LP). The purpose of the smart shoe is to identify obstacles and protect the user from unintended accidents. A compatible Android application has been developed to alert the user when there is an obstruction or when he is walking on a wet surface. Voice alarms will be used to acoustically alert the user. If the user collapses, a message with their position will be sent right away to a relative. On the other hand, the smart vest will identify the position of the user's back and alert him to maintain a straight posture through the same application as well. As the system is dealing with human health, some safety measurements would be taken into consideration to implement a safe electrical system in order to reduce error and to increase accuracy.
The article is devoted to the development of means for recognition of the emotions of the speaker, based on the neural network analysis of fixed fragments of the voice signal. The possibility of improving recognition ...
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Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pai...
Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pain may manifest suddenly in some cases, it often develops gradually and persists for weeks, and in untreated cases, it can linger for years. Hence, the utilization of assistive devices such as wearable posture-monitoring vests can offer valuable assistance and guidance to users. This research paper is dedicated to the development of a system for detecting, diagnosing, and correcting poor posture, specifically leaning posture. The vest is designed to provide users with visual, auditory, and tactile cues to help them address this issue, thereby reducing the risk associated with leaning. Additionally, an integrated electrical box has been designed to consolidate all components directly onto the main board in a secure enclosure. This box also displays the daily count of instances where the user has leaned. This system is characterized by its electrical safety, portability, compactness, comfort, and affordability. A comprehensive analysis of the system's performance has been conducted with a meticulous evaluation of accuracy. Each component of the system has undergone successful testing, and the system as a whole is currently in the testing phase. The results of these tests have indicated a lack of faulty errors and have demonstrated outstanding accuracy and detection rates. Over 100 individuals of varying ages, genders, and BMI categories were involved in testing, with each person wearing the device for an average of six hours. The accuracy rate achieved was 98.85%, with an average of 54.35 instances of poor posture detected per participant.
An advanced medicine box monitoring, analysis and control system is proposed in this paper. The latter design is based on a smart and safe medical box that assists patients in taking their pills treatment on time. Two...
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Epilepsy is a neurological disorder associated with abnormal electrical activity in the brain, which causes seizures. The occurrence of seizure is not predictable; the duration between seizures, as well as the symptom...
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Epilepsy is a neurological disorder associated with abnormal electrical activity in the brain, which causes seizures. The occurrence of seizure is not predictable; the duration between seizures, as well as the symptoms, varies from patient to another. Since the seizures are not predictable, and most of epileptic patients suffer from physical risky symptoms during the seizure, such patients are not able to perform daily work activities. The objective of this project is to design and implement a monitoring system for epileptic patients; the system should continuously check some vital signs, analyze the measurements, and decide whether the patient is nearly to have a seizure or not. Whenever a seizure is predicted, the system initiates an alarm. In addition, a notification should be sent to the health care responsible, as well as one preferred contact. By implementing the monitoring system, people who suffer from epilepsy will have more chance to work and live a normal life. Thus, this paper presents the concept of the overall system and shows results of the implemented systems: EEG, ECG and Fall Detection system. Results have shown that the fall detection accuracy reached 99.89% whereas the accuracy of the prediction using the ANN was about 97.34%.
Network security has been a major issue long time ago. Confidentiality, integrity and availability of data are the primary concerns of any network administrator. Recently, several attacks have resulted in huge losses ...
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Network security has been a major issue long time ago. Confidentiality, integrity and availability of data are the primary concerns of any network administrator. Recently, several attacks have resulted in huge losses of resources and of data availability. For example, in May 2017, medical entities in the United Kingdom have been paralyzed due to WannaCry ransomware world-wide cyber-attack. Thus, the main objective of this paper is to propose a more secured network architecture that will be designed for the case of the PACS - Picture Archiving and Communication system - that is used for storing and transmitting radiography images and reports through the hospital internal network. This paper presents an off-the-shelf solution based on the concept of one-way link data diode and open source softwares to assure safety and security in a cost effective manner. The novelty of this approach is in the design of a data diode that limits the physical connection to two network interfaces, and eliminates the need for a third network connection needed to provide a carrier signal for the transmitter. This system has shown some latency in data transfer but has increased the safety and the security of files transferred between the PACS network and the external network.
To ensure the reliability and safety in applications such as aeronautics, automotive, industrial automation, railway and space, several redundancy-based embedded architectures are used. In this work, the design of a 1...
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To ensure the reliability and safety in applications such as aeronautics, automotive, industrial automation, railway and space, several redundancy-based embedded architectures are used. In this work, the design of a 1oo4 safety system-on-Chip based on LEON3 processor with two different design approaches is presented. In both of the approaches, four LEON3 processors with a shared debug support unit, debug link and system peripherals are designed. However, one memory controller is interfaced with the system in the first approach while in the second approach four memory controllers are interfaced. Both the designs are implemented using the XUPV5-XC5VLX110T Xilinx development board (ML509). The performance of the system is verified in this work using the Xilinx ChipScope tool.
Owing to the condensed size of components in digital designs on the FPGA, it is difficult to guarantee an acceptable degree of reliability due to soft-errors. These designs are mostly available in Hardware Description...
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Owing to the condensed size of components in digital designs on the FPGA, it is difficult to guarantee an acceptable degree of reliability due to soft-errors. These designs are mostly available in Hardware Description Languages (HDL) at various abstraction levels, e.g. gate-level, data-flow, and behavioural. Fault Injection (FI) is a well-known technique to assess the dependability of such designs. Broadly, FI techniques for FPGA-based designs are categorized into emulation and simulation-based techniques. Simulation-Based FI (SBFI) tools work on hardware models of designs and help designers to test and verify designs at an early phase of the FPGA design & development flow. Testing, dependability analysis, and fault simulation applications require a faulty model of the original design during fault injection campaign. Therefore, we require a tool which can automatically generate the faulty model of the original design written at any abstraction levels and perform fault injection testing and dependability analysis. In this paper, a fault injection tool (RASP-FIT) is presented, which consists of an automatic code modifier (fault injection algorithm), fault injection control unit and result analyser. Previously, the tool is used for code-modification, test and hardness analysis for gate-level designs. In this paper, an enhancement of a code modifier along with result analyser techniques are applied to the data-flow benchmark designs and presented.
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