Journal of Software Engineering & Intelligent Systems

ISSN: 2518-8739 (Online)
April 2022 | VOLUME. 7  ISSUE. 1
Title:

SAFETY-CRITICAL APPLICATIONS FOR REAL-TIME OPERATING SYSTEMS: A COMPREHENSIVE COMPARISON

Authors:

Kainat Javaid, Rana Asif Rehman

Abstract:

The most important aspects of the microprocessors systems utilized for safety and mission critical applications e.g. Real Time Operating Systems, are efficiency, reliability and Security. All these are the crucial traits for RTOS stands for Real-Time Operating Systems. For the application perspective the traditional microprocessors are not suitable, the main reason behind this is since these processors typically not sustenance the protection of architectural level counting thread segregation, that could result into security susceptibilities in embedded system. For the same scenario the single flawed thread might origin a disastrous failure of the entire system. Beside with the said reason the traditional microprocessors system has no precise protection methods that protects and prevent extraneous attackers like malicious software from criticizing the system. This might become a significant issue, especially for protective and mission-critical applications, such as real-time operating systems, often known as hard time systems. The literature study of Real Time Operating Systems (RTOS) and their contributions to the embedded system field is discussed in this work. This paper will also discuss the applications and method to expand the performance of real time operating system and review identifies the challenges, key issues, and likely creative research guidelines of the real time operating systems. We also compare and contrast the original and unique (PBP) pipeline barrel processor architecture with existing techniques for safety and mission critical applications in real-time operating systems in this article. An assessment of the saleable RTOSs' is presented. We complete by discussing the review and relating the RTOS grounded on performance constraints.

Keywords: real-time operating systems; performance parameters; real-time applications; context switching time; architectural-level memory partitioning; time-critical applications;
Available: SAFETY-CRITICAL APPLICATIONS FOR REAL-TIME OPERATING SYSTEMS: A COMPREHENSIVE COMPARISON by Kainat Javaid, Rana Asif Rehman will be available under cc by-nc 4.0 License on 30th April 2022. Permissions beyond the scope of this license may be available at JSEIS.
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Title:

TRENDS, ISSUES AND CHALLENGES IN BIG DATA FOR INTELLIGENT HEALTHCARE

Authors:

Dania Parvez, Muqadas Kalsoom

Abstract:

Big data in healthcare corresponds to the vast variety of health data obtained from various sources including electronic health record, medical imaging etc. The main objective of this research paper is to highlight the information related to issues, challenges and techniques used in big data in intelligent healthcare. This paper presents a systematic literature review (SLR) of big data in intelligent healthcare. A total of 70 research papers were selected and studied to perform SLR. Results indicates that big data plays a vital role in healthcare as it results in the digitization of healthcare data and reduction in the cost and time spent on healthcare services. However more enhanced study needs to be performed in order to get a better insight towards trends of big data in healthcare industry.

Keywords: big data; intelligent healthcare system; trends in big data; systematic literature review; healthcare digitization;
Available: TRENDS, ISSUES AND CHALLENGES IN BIG DATA FOR INTELLIGENT HEALTHCARE by Dania Parvez, Muqadas Kalsoom will be available under cc by-nc 4.0 License on 30th April 2022. Permissions beyond the scope of this license may be available at JSEIS.
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Title:

MYOPATHIC AND NORMAL GAIT RECOGNITION BY OBTAINING DISTANCE FEATURES FROM THE HUMAN JOINTS STRUCTURE USING 3D DEPTH SENSOR

Authors:

Razieh Asgarnezhad, Hayder Salman Jasim, Ebtihal Ayaal Mussa, Suzan Waleed Mohammed, Nabaa Basem Aziz, Nabaa Alaa Talib

Abstract:

Computer vision has a special important among the fields of computer science. Depth sensors are playing a major role in analyzing human kinetic system because of the gait represent special behavioral biometric aspect. Features of gait used in many areas’ application. Static and dynamic features of the human gait play a major task in abnormal walking recognition, such as neurological and pathological diseases. The main aim of this research is to recognize between normal gait and Myopathic (Waddling) gait. Skeletal joints Trajectories of the human body have been obtained. These trajectories represent the locations of these joints for all the frames of the video. Static and dynamic gait features have been obtained using Orbbec Astra S depth sensor and Nuitrack SDK. Features has been selected using ANOVA method. KNN classification model has been used to obtain the results. The system has been tested to show accuracy of 97.7 and error rate of 2.3.

Keywords: human joints; gait recognition; myopathic gait; waddling gait; distance features;
Available: MYOPATHIC AND NORMAL GAIT RECOGNITION BY OBTAINING DISTANCE FEATURES FROM THE HUMAN JOINTS STRUCTURE USING 3D DEPTH SENSOR by Razieh Asgarnezhad, Hayder Salman Jasim, Ebtihal Ayaal Mussa, Suzan Waleed Mohammed, Nabaa Basem Aziz, Nabaa Alaa Talib will be available under cc by-nc 4.0 License on 30th April 2022. Permissions beyond the scope of this license may be available at JSEIS.
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Title:

REVIEW OF MULTI-AGENT UAV COLLABORATIVE NAVIGATION METHODS IN GPS DENIED AREAS UTILIZING ENVIRONMENTAL SENSORY INFORMATION

Authors:

Farhad Goodarzi, Farzad Sanati, Ali Azarnia

Abstract:

Multi-agent UAV collaborative navigation is the cooperation of multiple UAVs in large teams to overcome the limitations of individual robots. Even if successful global planning algorithms for uncertain environments were available, a perfectly up-to-date map of the environment may not be available and the exteroceptive sensors carried by the UAV cannot reach far enough, or behind obstacles, to account for a priori unknown information within the planning process. In these situations, the robot can only deal with these unknown elements using a reactive planning algorithm. During a disaster such as an earthquake or fire, buildings are often left structurally unsound. Sending in a human team to inspect the building can unnecessarily put human lives at risk. This paper reviews the methods of navigation of UAVs individually or in a swarm case. the review is categorized mainly into the sensors, the environment that the UAV is used, state estimation and localization, and path planning, obstacle avoidance and navigation.

Keywords: state estimation; deep learning; multi-agent; swarm; GPS-denied environment; path planning; absolute localization;
Available: REVIEW OF MULTI-AGENT UAV COLLABORATIVE NAVIGATION METHODS IN GPS DENIED AREAS UTILIZING ENVIRONMENTAL SENSORY INFORMATION by Farhad Goodarzi, Farzad Sanati, Ali Azarnia will be available under cc by-nc 4.0 License on 30th April 2022. Permissions beyond the scope of this license may be available at JSEIS.
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Title:

GALOIS THEORY AND QUALITY OF SERVICE DRIVEN KNOWLEDGE EXTRACTION WITHIN AN ENTERPRISE

Authors:

Abessolo Alo'o Ghislain, Monthe Djiadeu Valery, Olle Olle Daniel Georges

Abstract:

In Enterprises, knowledge is used in the execution of workflow tasks by users. This knowledge is held by employees involved in the workflow. With the instability of employees, quality of service is not always guaranteed. However, due to competitiveness, enterprises are forced to improve their quality of service to satisfy their customers. The method generally used consists to build a knowledge base that identifies the knowledge to optimize employee’s performance to ensure optimal quality of service. But the existence of a knowledge base does not always guarantee the achievement of quality of services requested by customers. This raises the problem of extraction of knowledge in the execution of business process to achieve a quality of service requested by a customer. In this paper, we present a method based on Galois Theory, to extract, from the knowledge base, relevant knowledge needed for the execution of business process to achieve a given quality of service.

Keywords: Galois theory; knowledge management; knowledge base; customer satisfaction; business process; workflow modeling;
Available: GALOIS THEORY AND QUALITY OF SERVICE DRIVEN KNOWLEDGE EXTRACTION WITHIN AN ENTERPRISE by Abessolo Alo'o Ghislain, Monthe Djiadeu Valery, Olle Olle Daniel Georges will be available under cc by-nc 4.0 License on 30th April 2022. Permissions beyond the scope of this license may be available at JSEIS.
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