scholarly journals Real-Time Cloud-Based Health Tracking and Monitoring System in Designed Boundary for Cardiology Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Aamir Shahzad ◽  
Yang Sun Lee ◽  
Malrey Lee ◽  
Young-Gab Kim ◽  
Naixue Xiong
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Medical Information ◽  
Human Life ◽  
Pressure Sensors ◽  
Cellular Systems ◽  
Medical Systems ◽  
Private Cloud ◽  
The Real ◽  
Medical Wards

Telemonitoring is not a new term, in information technology (IT), which has been employed to remotely monitor the health of patients that are located not in common places, such hospitals or medical centers. For that, wearable medical sensors, such as electrocardiography sensors, blood pressure sensors, and glucometer, have commonly been used to make possible to acquire the real-time information from the remotely located patients; therefore, the medical information is further carried, via the Internet, to perform medical diagnosis and the corresponding treatments. Like in other IT sectors, there has been tremendous progress accounted in medical sectors (and in telemonitoring systems) that changes the human life protection against several chronic diseases, and the patient’s medical information can be accessed wirelessly via Wi-Fi and cellular systems. Further, with the advents of cloud computing technology, medical systems are now more efficient and scalable in processing, such as storage and access, the medical information with minimal development costs. This study is also a piece of enhancement made to track and monitor the real-time medical information, bounded in authorized area, through the modeling of private cloud computing. The private cloud-based environment is designed, for patient health monitoring called bounded telemonitoring system, to acquire the real-time medical information of patients that resided in the boundary, inside medical wards and outside medical wards, of the medical center. A new wireless sensor network scenario is designed and modeled to keep or monitor the patients’ health information whole day, 24 hours. This research is a new secured sight towards medical information access and gives directions for future developments in the medical systems.

Real Time Risk Management in Cloud Computation

2013 ◽  
pp. 123-145
Author(s):  
Kashif Kifayat ◽  
Thar Baker Shamsa ◽  
Michael Mackay ◽  
Madjid Merabti ◽  
Qi Shi
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Risk Management ◽  
Real Time ◽  
Use Case ◽  
The Real ◽  
Security Issues ◽  
Processing Resources ◽  
Cloud Computation ◽  
Time Assessment

The rise of Cloud Computing represents one of the most significant shifts in Information technology in the last 5 years and promises to revolutionise how we view the availability and consumption of computing storage and processing resources. However, it is well-known that along with the benefits of Cloud Computing, it also presents a number of security issues that have restricted its deployment to date. This chapter reviews the potential vulnerabilities of Cloud-based architectures and uses this as the foundation to define a set of requirements for reassessing risk management in Cloud Computing. To fulfill these requirements, the authors propose a new scheme for the real-time assessment and auditing of risk in cloud-based applications and explore this with the use case of a triage application.

Fault mitigation in real-time cloud computing

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Osuolale A. Festus ◽  
Adewale O. Sunday ◽  
Alese K. Boniface
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Human Life ◽  
Low Cost ◽  
Cloud Services ◽  
Computing Systems ◽  
Cloud Computing Environment ◽  
High Performing ◽  
Procurement Cost ◽  
Data Upload

The introduction of computers has been a huge plus to human life in its entirety because it provides both the world of business and private an easy and fast means to process, generate and exchange information. However, the proliferation of networked devices, internet services and the amount of data being generated frequently is enormous. This poses a major challenge, to the procurement cost of high performing computers and servers capable of processing and housing the big data. This called for the migration of organizational and/or institutional data upload to the cloud for highlevel of productivity at a low cost. Therefore, with high demand for cloud services and resources by users who migrated to the cloud, cloud computing systems have experienced an increase in outages or failures in real-time cloud computing environment and thereby affecting its reliability and availability. This paper proposes and simulates a system comprising four components: the user, task controller, fault detector and fault tolerance layers to mitigate the occurrence of fault combining checkpointing and replication techniques using cloud simulator (CloudSim).

The Design of Remote Monitoring System of PM2.5 Air Quality Based on ARM-M3 Ethernet

2014 ◽  
Vol 926-930 ◽  
pp. 2143-2146
Author(s):  
Xiu Wei Fu ◽  
Li Fu ◽  
Jing Li
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Human Life ◽  
The Real ◽  
Remote Monitoring System ◽  
Testing Data ◽  
Quality Testing ◽  
Real Time Detection

Human life and work are affected by PM2.5, so it is very necessary to get the real-time detection of PM2.5 every day. Remote monitoring is achieved by the LM3S8962 with Ethernet module as control core, and then the detect signals about PM2.5 air quality are transmitted by Ethernet communications. It has been proved by our experiment that Air quality testing data can be obtained in real time by experiments. It can be conclusion that the data of experimental is right by comparing.

scholarly journals Smart Authentication and Secured Engine Unlocking System for Automobiles

2021 ◽  
pp. 653-659
Author(s):  
Bhargava R ◽  
Amulya H C ◽  
Jyothi K P ◽  
Keerthana R
Keyword(s):  
Real Time ◽  
Human Life ◽  
Security System ◽  
Raspberry Pi ◽  
Biometric Authentication ◽  
Servo Motor ◽  
Smart System ◽  
The Real ◽  
Alert Message ◽  
Vehicle Security

As human life started to evolve on this earth, the craving for smart automobiles has increased, and adding a vehicle security system to secure the automobile from theft in parking and in unsecured places is important. This paper proposes the design and development of smart system to prevent theft that uses biometric authentication to access the door and to start the engine of the automobile. This system initially uses the fingerprint module that takes the real time fingerprint of a person trying to open the vehicle door and compares it with the authorized person’s fingerprint and then allows or denies the access to door, and secondly the camera takes the image of a person trying to start the engine and compares with the authorized person’s image to allow or deny the access to the engine. In case of detection of unauthorized fingerprint, the GSM module sends the message to the owner and in case unauthorized person detected by camera it sends the captured image with alert message to owner. The system is developed using raspberry pi, GSM module, fingerprint module, pi camera, dc and servo motor.

scholarly journals Research Trends on the E-Procurement Smart Systems

2020 ◽  
Vol 9 (4) ◽  
pp. 26-30
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Recent Trend ◽  
Research Trends ◽  
Web Based ◽  
The Real ◽  
Smart Systems ◽  
Electronic Procurement ◽  
Research Gap ◽  
The Web

By the development of the real-time technologies, the association and commerce applications has been observed among the enhancing movement to implement cutting edge skills to control their commerce method. But, this movement was not observed much the electronic-procurement technique, where the obtainable consumers still order things using a predictable web-based method, which may not present a different continuing challenge in the e-procurement technique. This manuscript effort to study the existing movements and disputes of the web-based e-procurement technique and demonstrates that the acceptance of the cloud computing as a recent trend, like continuing problems of the e-procurement, may be shown. This manuscript also introduces the efficiency of the accessible methods by explanation of the research-gap

scholarly journals Preventive Path to Control Fire Accident in Firework Industry using Iot

2020 ◽  
Vol 9 (3) ◽  
pp. 414-417
Keyword(s):  
Real Time ◽  
Chemical Control ◽  
Human Life ◽  
Preventive Measure ◽  
The Real ◽  
Higher Temperature ◽  
Fire Accident

The Surveillance and the ongoing examination on Fire work mishaps are just arrangements with the manual preventions, mindfulness and how to keep away from the mishaps during the assembling procedure of wellbeing matches and fireworks. Dangerous mishaps happen frequently, resulting in overwhelming misfortunes of human lives and wounds to laborers. The fundamental driver of Fire mishaps is from Gun Powder. In this Gunpowder not just explosives at the time of higher temperature which additionally obliterated the whole things underneath the referenced temperature. The preventive measure on this surveillance bargains and suggested that the temperature, smoke caution sensor is bolstered to the laborers keep away from heavier harms. The proposed work enhances the preventive system through, advanced IoT based sensors which is deployed on the field to monitor and prevent the real time mishaps. The framework clearly identifies the Automated Chemical Manager (ACM) to balance chemical control activities and threshold limits to avoid the possibility of accidents in the firework industries. The timely alarm through this smart preventive system will avoid the loss of human life and frequent accidents in the firework industry.

scholarly journals A Hybrid Multi-level Statistical Load Balancer-Based Parameters Estimation Model in Realtime Cloud Computing Environment

2020 ◽  
Vol 25 (6) ◽  
pp. 771-782
Author(s):  
Gutta Sridevi ◽  
Midhunchakkravarthy
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Real Time ◽  
Parameters Estimation ◽  
Computing Environment ◽  
Estimation Model ◽  
Cloud Computing Environment ◽  
The Real ◽  
Multi Level ◽  
Load Balancer

As the size of the cloud-based applications and its tasks are increasing exponentially, it is necessary to estimate the load balancing metrics in the real-time cloud computing environments. Hybrid load balancing framework play a vital role in the cloud-based applications and tasks monitoring and resource allocation. Most of the conventional load balancing metrics are dependent on limited number of cloud metrics and type of virtual machines. Also, these models require high computational memory and time on large number of tasks. In this paper, an advanced multi-level statistical load balancer-based parameters estimation model is designed and implemented on the real-time cloud computing environment. In this model, a novel statistical load balancing data collector is used to find the best metrics for the load balance computation. In this model, different types of tasks are simulated under different virtual machine types such as small, medium and large instances. Experimental results show that the proposed multi-level based statistical load balancing collector has better efficiency than the conventional models in terms of memory utilization, CPU utilization, runtime and reliability are concerned.

scholarly journals An Improved Sensing Method of a Robotic Ultrasound System for Real-Time Force and Angle Calibration

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2927
Author(s):  
Kuan-Ju Wang ◽  
Chieh-Hsiao Chen ◽  
Jia-Jin (Jason) Chen ◽  
Wei-Siang Ciou ◽  
Cheng-Bin Xu ◽  
...  
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Pressure Sensors ◽  
Robotic Arm ◽  
Measurement Unit ◽  
Ultrasonic Probe ◽  
The Real ◽  
Time Calibration ◽  
Robotic Ultrasound ◽  
Ultrasound System

An ultrasonic examination is a clinically universal and safe examination method, and with the development of telemedicine and precision medicine, the robotic ultrasound system (RUS) integrated with a robotic arm and ultrasound imaging system receives increasing attention. As the RUS requires precision and reproducibility, it is important to monitor the real-time calibration of the RUS during examination, especially the angle of the probe for image detection and its force on the surface. Additionally, to speed up the integration of the RUS and the current medical ultrasound system (US), the current RUSs mostly use a self-designed fixture to connect the probe to the arm. If the fixture has inconsistencies, it may cause an operating error. In order to improve its resilience, this study proposed an improved sensing method for real-time force and angle calibration. Based on multichannel pressure sensors, an inertial measurement unit (IMU), and a novel sensing structure, the ultrasonic probe and robotic arm could be simply and rapidly combined, which rendered real-time force and angle calibration at a low cost. The experimental results show that the average success rate of the downforce position identification achieved was 88.2%. The phantom experiment indicated that the method could assist the RUS in the real-time calibration of both force and angle during an examination.

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