Review of Types, Properties, and Importance of Ferrous Based Shape Memory Alloys

Rahman, Rana Atta Ur,Juhre, Daniel,Halle, Thorsten Materials Research Society of Korea 2018 한국재료학회지 Vol.28 No.7

Shape memory alloys(SMAs) have revolutionized the material engineering sciences as they exhibit exclusive features i.e. shape memory effect(SME) and super-elasticity. SMAs are those alloys that when deform return to their predeformed shape upon heating, they also restore their original shape by removing the load. Research on properties of newly advent of several types of ferrous based shape memory alloys(Fe-SMAs), shows that they have immense potential to be the counterpart of Nitinol(NiTi-SMA). These Fe-SMAs have been used and found to be effective because of their low cost, high cold workability, good weldability & excellent characteristics comparing with Nitinol(high processing cost and low cold workability) SMAs. Some of the Fe-SMAs show super-elasticity. Fe-SMAs, especially Fe-Mn-Si alloys have an immense potential for civil engineering structures because of its unique properties e.g. two-way shape memory effect, super elasticity and shape memory effect as well as due to its low cost, high elastic stiffness and wide transformation hysteresis comparative to Nitinol. Further research is being conducted on SMAs to improve and impinge better attributes by improving the material compositions, quantifying the SMA phase transition temperature etc. In this research pre-existing Fe-SMAs are categorised and collected in a tabulated form. An analysis is performed that which category is mostly available. Last 50 years data of Fe-SMA publications and US Patents is collected to show its importance in terms of increasing research on such type of alloys to invent different compositions and applications. This data is analysed as per different year groups during last 50 years and it was analysed as per whether the keywords exist in title of an article or anywhere in the article. It was found that different keywords related to Fe-SMAs/categories of Fe-SMAs, almost don't exist in the title of articles. However, these keywords related to Fe-SMAs/categories of Fe-SMAs, exist inside the article but still there are not too many publications related to Fe-SMAs/categories of Fe-SMAs.

Temperature induced delocalization of charge carriers and metallic phase in Co_0.6Sn_0.4Fe₂O₄ nanoparticles

ur Rahman, Atta,Rafiq, M. A.,Maaz, K.,Karim, S.,Oh Cho, Sung,Hasan, M. M. American Institute of Physics 2012 JOURNAL OF APPLIED PHYSICS - Vol.112 No.6

Electronic Data Interchange Framework for Financial Management System

Aldowesh, Nora,Alfaleh, Aljawharah,Alhejazi, Manal,Baghdadi, Heyam,Atta-ur-Rahman, Atta-ur-Rahman International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.6

As a result, for the increasing expansion by the university faculties in the field of postgraduate studies, The Deanship of Graduate Studies at the university has been established in 1430 AH/2009 CE to specifically address the needs of the current and prospective graduate population to supervise postgraduate studies programs in coordination with the concerned faculties. This comes as a result for the university being certain of the importance of providing postgraduate studies opportunities that follow the bachelor's degree to qualify our ambitious youth appropriately. The University offers 72 different Graduate programs, awarding doctoral and master's degrees along with fellowships and diplomas in various disciplines like health, engineering, science, literary, and educational. Currently, the financial model for admission and students' payment is manual and paper based. This paper proposes to provide a user interface for Financial Management in Deanship of Graduate studies The basic purpose of the system was to minimize human interference and reduce mistakes placed by human interference, also to have efficient and a fast performance, and perform Electronic Data Interchange (EDI) for various tasks such as billing and scheduling details.

A Proposed Model for Supply Chain using Blockchain Framework

Zenab AlSadeq,Haya Alubaidan,Alanoud Aldweesh,Atta-ur-Rahman,Tahir Iqbal International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.6

The rapid increase in the use of new technology known as 'blockchain technologies' has addressed many challenges in different areas and provided benefits to users, in this paper we discuss the field of supply chains, improve confidence and transparency between participants and stakeholders significantly also in this paper we Compare between different blockchain frameworks focusing on most popular frameworks. Moreover, we proposed a model in the supply chain using a blockchain framework, the proposed supply chain model included many different resources that help to exchange information over the network. The proposed model also includes smart contracts that maintain all rules for transactions. using blockchain technology information such as transaction details, time and money are recorded and stored within the system from the beginning of the transaction entry.

SYN Flood DoS Detection System Using Time Dependent Finite Automata

Noura AlDossary,Sarah AlQahtani,Reem Alzaher,Atta-ur-Rahman International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.6

Network intrusion refers to any unauthorized penetration or activity on a computer network. This upsets the confidentiality, integrity, and availability of the network system. One of the major threats to any system's availability is a Denial-of-Service (DoS) attack, which is intended to deny a legitimate user access to resources. Therefore, due to the complexity of DoS attacks, it is increasingly important to abstract and describe these attacks in a way that will be effectively detected. The automaton theory is used in this paper to implement a SYN Flood detection system based on Time-Dependent Finite Automata (TDFA).

Applications of 5G and 6G in Smart Health Services

Al-Jawad, Fatimah,Alessa, Raghad,Alhammad, Sukainah,Ali, Batoola,Al-Qanbar, Majd,Rahman, Atta-ur International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.3

Healthcare organizations are overwhelmingly embracing smart value-based care strategies, which focuses on providing superior treatment at a significantly lower cost and quality of service (QoS). For these purposes, fifth generation (5G) of mobile service provides an innumerable improvement that clearly outperforms previous generations e.g., 3G and 4G. However, as with most advancements, 5G is projected to introduce new challenges, prompting the community to think about what comes next. This research was conducted to examine the most recent smart 5G technology applications and the solutions they provide to the healthcare industry. Finally, the paper discusses how the upcoming 6G technology has the potential to transform the future of healthcare sector even beyond the current 5G systems.

AIMS: AI based Mental Healthcare System

Ibrahim Alrashide,Hussain Alkhalifah,Abdul-Aziz Al-Momen,Ibrahim Alali,Ghazy Alshaikh,Atta-ur Rahman,Ashraf Saadeldeen,Khalid Aloup International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.12

In this era of information and communication technology (ICT), tremendous improvements have been witnessed in our daily lives. The impact of these technologies is subjective and negative or positive. For instance, ICT has brought a lot of ease and versatility in our lifestyles, on the other hand, its excessive use brings around issues related to physical and mental health etc. In this study, we are bridging these both aspects by proposing the idea of AI based mental healthcare (AIMS). In this regard, we aim to provide a platform where the patient can register to the system and take consultancy by providing their assessment by means of a chatbot. The chatbot will send the gathered information to the machine learning block. The machine learning model is already trained and predicts whether the patient needs a treatment by classifying him/her based on the assessment. This information is provided to the mental health practitioner (doctor, psychologist, psychiatrist, or therapist) as clinical decision support. Eventually, the practitioner will provide his/her suggestions to the patient via the proposed system. Additionally, the proposed system prioritizes care, support, privacy, and patient autonomy, all while using a friendly chatbot interface. By using technology like natural language processing and machine learning, the system can predict a patient's condition and recommend the right professional for further help, including in-person appointments if necessary. This not only raises awareness about mental health but also makes it easier for patients to start therapy.

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

Alwalid Alhashem,Aiman Abdulbaset,Faisal Almudarra,Hazzaa Alshareef,Mshari Alqasoumi,Atta-ur Rahman,Maqsood Mahmud International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.10

The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

Interoperable Internet-of-Things platform for smart home system using Web-of-Objects and cloud

Iqbal, Asif,Ullah, Farman,Anwar, Hafeez,Kwak, Kyung Sup,Imran, Muhammad,Jamal, Waseef,Rahman, Atta ur Elsevier 2018 Sustainable cities and society Vol.38 No.-

<P><B>Abstract</B></P> <P>Recent advancements in the Internet, web and communication technologies cut across many areas of modern-day living and enabled interconnection of every physical object, including, sensors and actuators. Web-enabled smart objects empower innovative services and applications for different domains and improve utilization of resources. In this paper, we propose an interoperable Internet-of-Things (IoTs) platform for a smart home system using a Web-of-Objects (WoO) and cloud architecture. The proposed platform controls the home appliances from anywhere and also provides the homes’ data in the cloud for various service providers’ applications and analysis. Firstly, we proposed a Raspberry PI based gateway for interoperability among various legacy home appliances, different communication technologies, and protocols. Secondly, we bring the smart home appliances to the web and make it accessible through the Representational State Transfer (REST/RESTful) framework. Thirdly, we will provide the cloud server for smart homes’ to store the homes’ data due to low storage capabilities at a gateway and provide the data for various application’s service providers and analysis. In the proposed smart home platform, we implement a water-tank control using Zigbee communication, an automatic door security using a normal camera as an IP camera, and provide web connectivity to different home devices for web-based controlling. We aim to reduce the human intervention, secure access control to home devices from anywhere, provide smart homes data for application services as well as for analysis, and improve the utilization of resources.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Proposed an interoperable and flexible internet-of-things platform for smart home system using web-of-objects and cloud infrastructure. </LI> <LI> Provided Raspberry PI based gateway for interoperability among various legacy home appliances, different communication technologies, and protocols. </LI> <LI> RESTful based smart home system to assign a unique URIs to each sensor data and an actuator event to reduce the processing at the webserver. </LI> <LI> Provided cloud server storing smart homes data due to low storage capabilities at a gateway and providing data for service providers and analysis. </LI> </UL> </P>