Innovative Computational Advances in 3D Printing Technology from a Computer Science Perspective Sarah Kanaan Hamzah, Sabah M. Kallow, Tareq Abdulrazzaq Majeed Alabdali, Aseel Khalid Ahmed, Sura Hamed Mousa, et al. Conference of Open Innovation Association Fruct, 2024 Background: 3D printing technology has advanced quickly, transforming many industries, including industry, healthcare, and even the arts. Despite their extensive applicability, the fundamental advances in computer science that underpin these improvements are less often studied.Objective: The article examines the latest developments in 3D printing technology from a computer science standpoint, emphasizing the computational techniques and algorithms that have made these breakthroughs possible.Methods: A thorough literature assessment examined industry reports, conference proceedings, and peer-reviewed publications from the previous ten years. Computational geometry, machine learning methods for print process optimization, and 3D modeling software developments were essential research fields.Results: The findings demonstrate many noteworthy achievements in the field. The efficiency and precision of three-dimensional modeling have been enhanced by advancements in computational geometry. Improved print settings made possible by machine learning algorithms have reduced production times without sacrificing quality. It is now much simpler to make complex and detailed objects thanks to the development of sophisticated 3D modeling tools.Conclusion: The importance of computer science to the development of 3D printing technology is highlighted in the study's conclusion. Better, more precise, and more versatile 3D printing applications across industries may be on the horizon as a consequence of ongoing research and development into computational methodologies.
The era of 5G/LTE Network Integration of Virtual Reality to Revolutionize IT Infrastructure Qasim Subhie Ali, Omar Abdulhusien Abdulrazaq, Azhar Raheem Mohammed Al-Ani, Aseel Khalid Ahmed, Ibrahim Abdullah, et al. Conference of Open Innovation Association Fruct, 2024 Background: 5G, when combined with immersive virtual reality (VR) technology, can create a trillion dollar innovation ecosystem across industries from education and healthcare to entertainment. The article studies what impact and implications did this integration provide towards the fostering of IT infrastructure growth.Objective: This article investigates whether the 5G/LTE network capabilities can add value to VR applications and focuses on identification of challenges in managing such technology. The proposed research will cover a general perspective on how this integration impacts overall IT systems and thus aims at offering an extensive understanding of the effect of integrates testing over performance, efficiency and end user experience of IT systems.Methodology: This article combined qualitative research techniques of expert interviews and case studies with quantitative data analysis based on network performance indicators—e.g., focusing the effectiveness of VR applications. The main point is that this process provides a comprehensive picture of where technologies are converging.Results: Intending 5G/LTE can significantly enhance performance with a decrease in latency and an increase in data throughput lends recognition to the idea that many of these applications are for VR applications. They provide a real-world example and demonstrate the potential of full integration. But it has identified some problems such as security concerns, network instability and scalability limitations.Conclusion: The integration of 5G/LTE and VR represents a milestone of the scene multi-view system in modern information technology infrastructure, which leads to an increase in user experience and operation efficiency. Despite obstacles needing attention, our results underscore the significant benefits of the integration and its capacity to inspire innovation across a variety of fields.
Major depressive disorder diagnosis based on PSD imaging of electroencephalogram EEG and AI Ammar Falih Mahdi, Aseel Khalid Ahmed Indonesian Journal of Electrical Engineering and Computer Science, 2022 One of the most common causes of functional frailty is major depressive disorder (MDD). MDD is a chronic condition that requires long-term therapy and professional assistance. Additionally, MDD effective treatment requires early detection. Unfortunately, it has intricated clinical characteristics that make early diagnosis and treatment difficult for clinicians. Furthermore, there are currently no clinically effective diagnostic biomarkers that can confirm an MDD diagnosis. However, electroencephalogram (EEG) data from the brain have recently been used to make a quantitative diagnosis of MDD. In addition, As being among the most cutting-edge artificial intelligence (AI) technologies, deep learning (DL) has exhibited superior performance in a wide range of real-world applications, from computer vision to healthcare. However, an additional challenge could be the extraction of information from the ECG raw data. This paper presents a method for converting EEG data to power spectral density (PSD) images, and then they were classified as healthy or MDD using a deep neural network for feature extraction and a machine learning (ML) classifier. When employing the proposed approach, the images formed from the PSD show a considerably improved performance in classification results.
Open network structure and smart network to sharing cybersecurity within the 5G network Aseel K. Ahmed, Abbas Akram Khorsheed Indonesian Journal of Electrical Engineering and Computer Science, 2022 The <span>next-generation communication system incorporates information technology (IT) and operations technology (OT) for generating, delivering, and collecting, and obtaining communication power. We plan to include a brief outline of internet of thing (IoT) communication and its context, along with security concerns that arise for IoT data on the network and some methods for detecting and avoiding cyber security threats. With the rise of the 5G networks, we introduce the smart network's emergent technology and its opportunities and more cybersecurity issues. Whereas, finding or responding to a power outage is an essential part of system security That is why we will discuss the innumerable advantages of 5G networks and we must also cover the inevitable problems that we will encounter in power delivery. The use of smart IoT communication technologies is becoming more common in the energy sector, particularly with the network (5G. The smart network and energy flow integration Real-time data on generation, electricity distribution, and energy consumption is measured using computers and cutting-edge technologies. This information aids utility companies in managing electricity supply and demand, as well as price. While enhanced communication and information technologies are unquestionably crucial to </span>the smart network.
Advanced Smart Algorithm for Integrating RFID and IoT Security Ceur Workshop Proceedings, 2022
