Rasha Talal Hameed

Smart Home Security based on optimal wireless sensor network routing protocols

Smart Home Security is designed to provide better security as well as energy efficiency and comfort. The paper presents a proposed smart home security (SHS) based on PIR Motion detector and MQ 9 Gas detection sensor. These sensors are monitored remotely by employing the communication networks. But the communication may be subject to delay, data loss and transmission congestion. The major challenge for smart home security is how to determine the suitable routing protocol, that ensures the data transmitted from a node to the other node as fast as possible. The paper makes a performance comparison between the Destination Sequenced Distance Vector and Ad hoc On Demand Distance Vector routing protocols which is presented in two scenarios, with different nodes, pause period and node speed by using Network Simulator-2 on Linux platform. The evaluation criteria of the protocols is tested for delay time, data delivery ratios with routing overload parameters. It is observed that DSDV offers better performance compared to AODV for SHS while DSDV has lesser routing carry and delay time compared to AODV.

Patient monitoring system based on e-health sensors and web services

A lot of research has been carried out in the field of healthcare monitoring. In recent years, development of patient monitoring system has been emerged as an area of research. In this article, a patient monitoring system is proposed. The proposed framework integrated web services with multiple sensors controlled by Arduino Uno. Therefore, the Service Oriented Architecture (SOA) with Rich Internet Application (RIA) was used in this system. In particular, this system was applied on the four types of sensors necessary to monitor the patient such as electrocardiogram (ECG), body temperature, pulse rate and oxygen in blood (SPO2). Finally, the system outputs improves a high quality services, real time data collecting, eliminating manual data gathering and enabling the monitoring of huge numbers of patients.

Health monitoring system based on wearable sensors and cloud platform

The advances in Internet innovation have made possible techniques for the conveyance of healthcare. Networking infrastructure and common access can encourage sharing of patient data and clinical information; make the Internet a perfect tool for remote patient observing applications. In this paper, we portray an experimental model designed for monitoring and checking the health condition of the patients based on sensors. The framework depends on e-health sensor shield associated with a cloud platform which gathers the data from the sensors. The sensors measure various parameters, such as a glucometer, airflow and patient position which are transmitted via microcontroller by a gateway to a cloud storage platform. The data collected in the cloud platform is accessible for further handling, for the investigation of some correlations among measured parameters and health state of the patients.

Design and implementation of real time tracking system based on Arduino Intel Galileo

Tracking and monitoring vehicles are coming vastly utilized based on Global Positioning System (GPS). In this paper a real time tracking system is proposed. The proposed framework would make great utilization of new innovation that basis on embedded board denotation Arduino Intel Galileo. This system acts on Global System for Mobile Communication (GSM), Global Positioning System (GPS) and General Packet Radio System (GPRS) which are utilized for vehicle tracking and monitoring. The SIM908 Module is applied which incorporates three technics to be specific GPS, GPRS and GSM. GPS gives the vehicle location coordinates, GPRS transmits these data to the server and finally the GSM transmits warning message to the vehicle owner phone. This paper exhibit the evolution of the vehicle tracking system prototype which is used in the vehicle. In particular, the framework will use GPS to acquire a vehicle location coordinates and send it utilizing GSM modem to the owner phone and to the web server. After that, the browser can carry on the PHP site page that utilizes Google maps to display the place in a real time. To define the location accuracy of the suggested system, we compared the system proposed results with the different commercial GPS devices.

Design of e-Healthcare management system based on cloud and service oriented architecture

The e-Healthcare system can be improved greatly by involving of latest information technology. However now in absent and developing nations, conventional sheet built a system that applied in healthcare. In the sector of healthcare besides other business fields, cloud computing is evolving as a new computing model. Among the developing countries, Iraq is attempting to change to electronic health records utilizing services of cloud computing. Cloud computing is the emerging technology can be utilized to build up a composite network to enhance the system. Therefore, this paper recommended a model of designing flexible e-healthcare management system based on Cloud Computing and Service Oriented Architecture (SOA). Cloud and SOA are becoming ubiquitous nowadays. However, their applications are deployed in this area and desired to appear various period stringent also workable conditions. The suggested system has been improved and includes various fractions to develop healthcare system. Rich Internet Application (RIA) based on the client side, simple database cloud server and application side leads to achieving a scheme that creates a readily attainable network. Finally, the system proposed improves cost management, time, storing patients profile and taking the right doctor decision.

Protect healthcare system based on intelligent techniques

Good patient care means safe record-keeping practices. Never forget that the electronic health record (EHR) represents a unique and valuable human being: it is not just a collection of data that you are guarding, it is a life. Malicious codes are one of the significant reasons for the rising number of security violations of systems associated with the web or worked in an open domain. Some security organizations, that perceive the significance of security, develop security systems, for example, firewalls, virus scanning proxy servers, and intrusion detection system. In this venture, the integration of different techniques in network security is applied for healthcare system protection. This work portrays a wavelet neural network approach to the proposed Intelligent Healthcare Security System (IHSS) which include an intelligent firewall (IFW), intelligent network intrusion detection subsystem (INIDS), and intelligent web filter (IFW). Also, it used Multi-Layer Perceptron (MLP) for detection and classifying the attacks depend on an on-line analysis mechanism. Various wavelet neural network structures are analyzed to discover the optimal neural network with regards to the number of hidden layers.

Efficient electrocardiogram data compression algorithm based on wavelet transform

Physicians as the most important tool in the diagnosis of acute and chronic heart conditions leverage the Electrocardiogram (ECG) data. The huge volume of data that needs to be gathered; processed as well as transmitted burdens the communication channel by obstructing the implementation of the ECG applications in telemedicine and remote monitoring scenarios. This has triggered the need for computationally efficient and advanced compression methods permitting the reconstruction of the destinations original signal. This paper focuses on proposing a highly efficient compression method relying on both run length coding (RLC) and fast lifting wavelet transform (FLWT) for both 1 and 2 dimensional ECG data. The basic wavelets that had been used are Daubechies (Db4); Cohen-Daubechies-Feauveau (CDF 2.2) and Haar. The algorithm that has been proposed is deployed as well as tested on different ECH data signals that stem from an open MIT-BIH arrhythmia database. It has been seen that Db4 offers greater performance via lower error and greater compression ratio when opposed to the other wavelets stated here.

Healthcare monitoring system for fetal electrocardiogram using least mean square based adaptive noise canceling approach

The recent health monitoring system has considered the internet and late data innovations. Various classes of these innovations have been selected with various designed healthcare monitoring frameworks. The fetal Electrocardiogram (FECG) imagines the electrical physiological action of a fetal heart; it includes important hints about the health and state of the fetus. In this work the least Mean Square (LMS) based Adaptive Noise Canceling (ANC) approach is utilized to extract the FECG. The proposed system incorporates two primary parts: the first part is the especially data acquisition, which examines significantly the picked lead locales arranged to get and register pregnant womens signals. In addition, the required programming that supposes reading these signs is planned. At that point, the proposed framework processes these signs to get a definitive consequence of FECG. The second part explains the Graphical User Interface (GUI) layout of getting FECG signal. A Graphical User Interface (GUI) utilizing MATLAB (R2011a) to facilitate the occupation of patients (clients) was implementation effectively. The proposed system was tested successfully during various cases.

Smart home system based on comparative analysis among AODV and DSDV protocols in MANET

The wireless sensor networks have accomplished advancement in various applications such as military, smart homes, patient monitoring, and intelligent building. In this paper, the smart home proposed system has been presented basis on two types of sensor. As well as the evaluation comparison among Destination Sequenced Distance Vector with Ad hoc On Demand Distance Vector has discussed to determine the optimal routing protocols. Motion sensor used for detecting any movement in this system while the MQ-7 is really suitable for detecting various gases. Three different factors namely pause interval time, node numbers and speed of nodes is estimated on the Network Simulator (ns-2) based on Linux operating system. Additionally, The performance metrics average end to end time delay, data packet delivery ratio and routing load which is analyzed. Our simulation outcome show that DSDV protocol has better evaluation compared with AODV protocol in lower delay interval and routing normalized load.