Computer Information Research Articles

Enhancing some separability criteria via equiangular tight frames

Abstract Improving the detection ability of quantum entanglement is one of the es-
sential tasks in quantum computing and quantum information. Finite tight frames
play a fundamental role in a wide variety of areas, and generally, each application
requires a specific class of frames and is closely related to quantum measurement. It
is worth noting that a maximal set of complex equiangular vectors is closely related
to a symmetric informationally complete measurement. Hence, our goal in this work
is to propose a series of separability criteria assigned to a finite tight frame and some
well-known inequalities in different quantum systems, respectively. In addition, some
tighter criteria to detect entanglement for many-body quantum states are presented in
arbitrary dimensions. Finally, the effectiveness of the proposed entanglement detec-
tion criteria is illustrated through some detailed examples.

Nonlocal correlations and entanglement in two coupled double quantum dots under external magnetic field

Abstract Double quantum dot (DQD) systems are highly regarded as promising candidates for advancements in the fields of quantum computing and quantum information processing. In this work, we investigate the behaviour of quantum correlations (QCs) in a system of two DQDs, AlGaAs/GaAs under various parameters such as temperature, energy offsets, coupling strength, and magnetic fields. We employ uncertainty-induced nonlocality and Bell nonlocality to quantify QC and logarithmic negativity to measure entanglement in the considered physical system. The findings demonstrate that QCs are significantly influenced by noisy equilibrium temperature and system parameters. In particular, lower temperatures enhance QCs, whereas higher temperatures result in a decrease due to thermal effects. In addition, the magnetic fields have a profound influence on the conditions of resonance. We also show that maximum QCs occur at resonance conditions with no energy offset between each DQD. However, introducing an energy offset or too-strong coupling reduces these correlations. Finally, our findings provide an understanding of the behaviour of entanglement and quantum nonlocality in DQD systems, offering potential implications for quantum technologies.

IMPROVING DIGITAL LITERACY BASED ON INTEGRATION OF SCIENCES IN 21st CENTURY CYBER PEDAGOGY

This article discusses the integration of cyber pedagogy, one of the hot topics of the 21st century. By combining different disciplines such as computer science, media literacy, and information technology, teachers can help students develop properly in online and offline education in a world based on digital technology. It is explained that it provides the necessary knowledge and skills.

Content as a Service fostering knowledge sharing amongst universities and communities: A bibliometric review

Rationale of Study – This article explores how Content as a Service (CaaS) catalyses knowledge sharing across various contexts, particularly between universities and their communities.Methodology – The study used bibliometric analysis, a quantitative methodology, to examine academic publications related to CaaS and its role in fostering knowledge sharing. A comprehensive search on the Web of Science database identified 1,044 relevant publications. The data were analysed using Bibliometrix with R programming.Findings – CaaS is a multidisciplinary domain encompassing computer science, information science, business, and healthcare. It democratises information access and enhances economic benefits through subscription models. Notably, there has been a surge in CaaS-related publications over the past decade, especially in the USA, highlighting the need to investigate CaaS as a knowledge-sharing paradigm. However, a significant gap remains in the literature from Africa, limiting insights into how local contexts can influence knowledge sharing in higher education through CaaS.Implications – CaaS can improve information accessibility, collaboration, discoverability, and cost-effectiveness through shared resources.Originality – Given Zimbabwe's contextual nuance, this study is among the pioneering research investigating CaaS as a knowledge-sharing paradigm.

A Comprehensive Study of Datasets for Research Works in IoT Networks

Internet of Things is a trending subject in the field of Computer Science and Information Technology. When a research scholar tries to find a problem statement in the arena of IoT, he or she probably Google the phrase “Security Issues in Internet of Things”. On this day August 22, 2024, when we searched the Google with this phrase, we got about 48,40,00,000 results in 0.46 seconds. When we searched Google Scholar with the same phrase, we got about 40,70,000 results (0.52 sec). This shows that lakhs of researchers are toiling to find solutions for Security Issues in IoT. There is a new and trending way of research that is finding solutions for issues in IoT using Machine Learning and Deep Learning Models. ML and DL algorithms need large sets of Data to train and test the algorithms. This made us to take up a study on available Datasets for this research topic. When we made review of literature, in this arena of study, we found that researchers are working on only a few datasets, though numerous datasets are available freely on the internet for academic purposes. Hence in this paper we made a comprehensive study of Datasets available for research works in Internet of Things.

Calculation and Comparative Analysis of Common Fault Scores for Secure Computers Based on Embedded Neural Networks

With the rapid development of computer networks and information technology, government departments, financial institutions, and enterprises are increasingly dependent on software, and software security issues have become a focus of attention. In this context, how to effectively evaluate the security of software has become an important issue for research institutions both domestically and internationally. On the basis of exploring software definition, this paper not only analyzes the security and potential threats of software in computer networks, but also introduces Embedded Neural Networks (ENNs) as an evaluation tool, and combines Fuzzy Analytic Hierarchy Process (FAHP) to deeply explore a new method for software security risk assessment. By utilizing the powerful pattern recognition capability of ENNs, software logs, system call sequences, and other data can be classified and analyzed to distinguish between normal and abnormal behavior. This ability is crucial for identifying security incidents such as malicious software and unauthorized access. ENNs are designed with resource constraints in mind, which can reduce energy consumption while ensuring performance. For software systems that require long-term operation, this means higher security and stability. Practice has proven that combining ENNs with FAHP can more scientifically and effectively evaluate software security. This method not only improves the accuracy and efficiency of evaluation, but also provides a more solid theoretical foundation and technical support for software security protection.

Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy

Quantum relative entropy (QRE) programming is a recently popular and challenging class of convex optimization problems with significant applications in quantum computing and quantum information theory. We are interested in modern interior-point (IP) methods based on optimal self-concordant barriers for the QRE cone. A range of theoretical and numerical challenges associated with such barrier functions and the QRE cones have hindered the scalability of IP methods. To address these challenges, we propose a series of numerical and linear algebraic techniques and heuristics aimed at enhancing the efficiency of gradient and Hessian computations for the self-concordant barrier function, solving linear systems, and performing matrix-vector products. We also introduce and deliberate about some interesting concepts related to QRE such as symmetric quantum relative entropy. We design a two-phase method for performing facial reduction that can significantly improve the performance of QRE programming. Our new techniques have been implemented in the latest version (DDS 2.2) of the software package Domain-Driven Solver (DDS). In addition to handling QRE constraints, DDS accepts any combination of several other conic and nonconic convex constraints. Our comprehensive numerical experiments encompass several parts, including (1) a comparison of DDS 2.2 with Hypatia for the nearest correlation matrix problem, (2) using DDS 2.2 for combining QRE constraints with various other constraint types, and (3) calculating the key rate for quantum key distribution (QKD) channels and presenting results for several QKD protocols. History: Accepted by Giacomo Nannicini, Area Editor for Quantum Computing and Operations Research. Accepted for Special Issue. Funding: This work was supported by the National Science Foundation [Grant CMMI-2347120] and Discovery Grants from the Natural Sciences and Engineering Research Council of Canada. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2024.0570 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2024.0570 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

The Role of Digital Transformation in the Development of Forensic Science

Digital transformation plays a significant role in the implementation of forensic activities due to significant current expansion of the body of evidence based on study of combined computer information received in the course of legal proceedings. The key areas of forensic activity digital transformation are considered. It is shown that the sizes of special knowledge must obligatory cover a competent understanding of modern information technologies, their functionality and development dynamics as well as their effective use feasibility in forensic activities. The combination of systematic and integrated approaches representing various aspects of expert examination makes it possible to fully implement the principles of its objectivity, comprehensiveness and completeness as key principles of forensic activities. The need in setting up and implementation of strategic projects on improving forensic activities in the context of digital transformation determines the evolvement of digital transformation doctrine of forensic science as one of the theories of forensic expertology.

Criminal Prohibitions when Using Mobile Applications

The article summarizes interim results of a research performed under the project of the Russian Science Foundation focusing on criminal law risks of using mobile applications. These risks can be of two types: the risk of being held criminally liable and the risk of being victimized by the criminal activities of others. The second type of risk is better defined because it is addressed in the context of preventing crimes committed using information and telecommunications networks or in the field of computer information in general. The first one implies not only situations when a user intentionally causes harm through a mobile application, but also cases where people do things, the public danger and wrongfulness of which is not obvious to them. Such persons usually have no desire to violate criminal law but do so failing to understand the unlawfulness of their actions due to the specific environment and technological features. Therefore, the ultimate goal of this project (at the next step) is to ensure safety of mobile application users, including inadmissibility of their unjustified criminal liability, through the development of recommendations on the rules of behavior when using relevant technologies. The purpose of the work within the framework of the presented scientific article is to determine the state of use of mobile applications (characteristics of mobile Internet culture) and those criminal law regulations that may be consciously or unconsciously violated by users of mobile applications. To achieve this goal two sociological surveys were conducted among users of mobile applications to determine how they use their mobile devices. The provisions of the criminal law and the materials of criminal cases were analyzed in order to understand what crimes can be committed by users of mobile applications who actually did not want and did not understand that they were violating the criminal law.

Quantum circuit syntheses of Boolean matrix multiplication using only CNOT gates

Abstract Boolean matrices and operations on Boolean matrices have become increasingly popular in quantum computing and quantum information because they can be used to represent quantum states and the corresponding operations. In this paper, we first give a quantum circuit direct synthesis of general Boolean matrix multiplication using Toffoli gates. We assign a qubit to each element of the matrix and add Toffoli gates at the corresponding positions where the matrix elements are multiplied according to the arithmetic of matrix multiplication. For $n\times p$ dimensional matrix $A$ multiplied by $p\times m$ dimensional matrix $B$, $np + pm + nm$ qubits and at most $pmn$ Toffoli gates are used in total. Then, an improved heuristic algorithm based on matrix Hamming distance selection of CNOT gate is proposed to synthesize the quantum circuit of a matrix, without using wire switching and SWAP gates, using only CNOT gates. The results show that our method is as good as or better than the classical synthesis. Finally, the quantum circuit of Boolean matrix multiplication with at least one invertible or full-rank matrix using only CNOT gates is given, which is divided into five cases for discussion and analysis. For $n\times n$ dimensional invertible matrix $A$ multiplied by $n\times m$ dimensional matrix $B$, $nm$ qubits and at most $mn^{2}$ CNOT gates are used in total. For $n\times p$ dimensional column full-rank matrix $A$ multiplied by $p\times m$ dimensional matrix $B$, $nm$ qubits and at most $pmn$ CNOT gates are used in total. The results show that this method uses less quantum resources to synthesize the quantum circuit of Boolean matrix multiplication. The correctness of the quantum circuits was verified by the Aer simulator of the IBM Quantum platform.

Applications of Newer Technologies in Enhancement of Pharmaceutical Industry

Computerized disruption in the drug industry refers to a revolutionary shift in customary processes in drug discovery, assembly, and patient consideration, spurred by emerging technologies. The unification of artificial intelligence (AI) and machine learning (ML) accelerates the development of new drugs by analysing large datasets to identify potential rivals for existing medications and predict patient responses. Digital therapies (DTx) are evidence-based programming interventions that improve medication adherence and chronic illness management while providing accessible and personalized medical service arrangements. Cloud computing and enormous information examination smooth out information reconciliation and investigation, empowering more productive innovative work processes. These innovations support the improvement of customized medication by utilizing genomic and clinical information, cultivating the making of designated treatments. The Internet of Things (IoT) upgrades the drug production network by checking ecological circumstances and guaranteeing the respectability of medication conveyance, while blockchain innovation guarantees information trustworthiness and straightforwardness, especially in clinical preliminaries and production network the executives. Regulatory Technology (RegTech) computerizes consistence processes, decreasing expenses and guaranteeing adherence to administrative norms. Furthermore, additive manufacturing (3D printing) speeds up drug prototyping and the creation of customized measurements structures, while supportability drives driven by advanced development lessen the natural effect of drug tasks. As computerized advances keep on developing, they offer uncommon chances to further develop effectiveness, lessen expenses, and improve patient results in the drug area. The fruitful coordination of these advancements presents difficulties however vows to alter the business by making medical services more customized, productive, and available.

Comparative Study of Nursing Informatics Competencies in Educators, Students, and Clinical Nurses

Background: Nursing informatics refers to a specialty in nursing that influences the learning environment, interprofessional collaboration, patient care, strategic planning, and patient satisfaction. Nursing informatics competency has been identified as a critical factor influencing the quality-of-care services. Nurses must integrate informatics into clinical decision-making processes. Objectives: This study aims to conduct a comparative analysis of nursing informatics competency among nursing educators, students, and clinical nurses. Methods: This descriptive-analytical study was conducted in 2023 at the nursing faculty of Abadan University of Medical Sciences. The study sample included 670 participants: Nursing educators, students, and clinical nurses. Nursing educators and students were selected through a census method, while clinical nurses were chosen via random sampling. Data were collected using the Nursing Informatics Competency Assessment Tool (NICAT) and demographic questionnaires. The NICAT assesses informatics competency across 30 components, categorized into three dimensions: Computer literacy, informatics literacy, and information management skills. Data were analyzed using SPSS version 26 software. Results: The average nursing informatics competency score among the participants was 105.58, falling within the competent range. Nursing educators achieved the highest competency score (110.21), followed by clinical nurses (106.24) and students (103.78). The highest score was observed in informatics literacy (45.84), while the lowest score was seen in information management skills (24.59). Information management skills, computer literacy, and informatics literacy were significantly correlated with the overall nursing informatics competency score (P < 0.001). Conclusions: Nursing educators, students, and clinical nurses were found to be competent in nursing informatics. However, due to technological advancements and the growing use of electronic health services, there is a need to enhance nurses' competencies in all dimensions, particularly in information management skills. It is recommended to revise the curriculum and provide the necessary infrastructure and equipment to integrate informatics into nursing education and empower nurses.

Вопросы квалификации неправомерного доступа к объектам критической информационной инфраструктуры

The article provides a criminal legal analysis of the crime provided for in part. 2.4 tbsp. 2741 of the Criminal Code of the Russian Federation — unlawful access to objects of critical information infrastructure of the Russian Federation. The authors conducted a comparative study of the objects regulated by the federal law no. 187-FZ of July 26, 2017 “On the security of critical information infrastructure of the Russian Federation” and part. 2.4 tbsp. 2741 of the Criminal Code of the Russian Federation, a legal assessment is given to criminal actions expressed in unlawful access using someone else’s account in the absence of such rights to it. The issues of qualification of crimes in the field of computer information are considered using examples of forensic investigative practice.

COMPUTER DIAGNOSTICS OF THE CONDITION OF SHIP ROLLING BEARINGS DURING THEIR OPERATION

The results of statistical processing of vibration signals obtained during diagnostics of ship power plants during the operation process are offered. A distinctive feature of monitoring the technical condition of elements of ship power plants is the uncertainty in the fixation and duration of extreme loads. The peculiarity of computer vibration diagnostics of rotary mechanisms is determined, which is that, in particular, physical measurements of vibration signals require their use in mathematical models of the physical state of the bearing. Calculations of statistical characteristics of vibration signals in the time domain, such as standard deviation (Std), asymmetry (Skewness), kurtosis (Kurtosis), full range of oscillations (Peak2Peak), root mean square value (RMS), cross factor (CrestFactor), form- factor (ShapeFactor), impulse factor (ImpulseFactor), marginal factor (MarginFactor), energy (Energy). The variety of diagnostic signals leads to the need to merge indicators of different dimensions without losing available information into a single generalizing indicator, for which the method of principal components is used in the work. The methodology of statistical processing and practical implementation of diagnostics of vibration signals during the analysis of damage evolution of rolling bearings of turbochargers of marine power plants are described. A new computer information parameter of vibration diagnostics based on the analysis of the first principal component in the time domain and spectral excess in the frequency domain has been identified and experimentally confirmed. The use of new diagnostic parameters makes it possible not only to judge the degree of damage to the rolling bearing, but also to observe the dynamics of the development of the defect and make a relative forecast of the working life of the rolling bearing. A real practical situation is considered - computer diagnostics of vibration signals of ship rolling bearings of a point defect of an external defect of a rolling bearing ring. Determining the applicability of the principal component method to other types of defects showed their potential for vibrodiagnosis of defects located on the inner ring of the bearing and when the ball falls out of the holder.

Cybersecurity activities for education and curriculum design: A survey

Cyber threats are one of the main concerns in this growing technology epoch. To tackle this issue, highly skilled and motivated cybersecurity professionals are increasingly in demand to prevent, detect, respond to, or even mitigate the effects of such threats. However, the world faces a workforce shortage of qualified cybersecurity professionals and practitioners. To address this dilemma, several cybersecurity educational programs have been introduced, such as specialized cybersecurity courses in computer science graduate programs. With the increasing demand, different cybersecurity courses are introduced at the high school level, undergraduate computer science and information systems programs, and even at the government level. Due to the peculiar nature of cybersecurity, educational institutions face many issues when designing a curriculum or cybersecurity activities. In this paper, we study existing cybersecurity curriculum approaches and activities. We also present case studies on cybersecurity education around the globe.

Career planning matters: Intelligence-based career path predictions using data mining models - A longitudinal study

It is essential for students to plan their careers because selecting the right career path shapes a person’s life. In such disciplines as computer science, information technology, and software engineering, assisting students toward appropriate employment is even more helpful. Thus, throughout the student’s education, they must evaluate their strengths to determine which professional sector corresponds to their abilities. It is for this reason that this research introduces an intelligencebased career recommendation system that will incorporate the analysis of such factors as the student’s academic performance, economic status, and demographic features to use data mining models in determining the best prospective career path to offer the student a more transparent and more informed vision and course to set on in the future. Three key aspects were addressed: first, one or another model and classifier for assessing the impact of pre-university education on the choice of a profession and, consequently, the selection of technologies were used. Second, these models accurately forecast students' careers using core courses, CGPA, and FYP data. Third, socioeconomic or demographic data was incorporated into the prediction to make it more accurate. Regarding the method of class distribution balancing, the Synthetic Minority Oversampling Technique (SMOTE) approach was used. The study reveals that variables specifying preuniversity education directly impact students’ career choices and that, employing data mining techniques, career choices could be forecasted considering academic performance and other related factors.

Ontologies and Research Data

This study examines the relationship between ontologies and open research data within the framework of the Semantic Web. The objective is to investigate the interconnectivity of both subjects through scholarly works that offer enhancements to the Web ecosystem and scientific research processes. The paper reviews critical theoretical frameworks related to the Semantic Web and the significance of metadata within this model. It also delves into the function that ontologies can fulfill in the Semantic Web landscape. The paper provides a historical overview of the emergence of ontologies and definitions in both Computer Science and Information Science. It chronicles how theorists in Information Science have progressively embraced the concept of ontologies since the late 20th century and assesses the current scholarly consensus on the subject. The study also addresses the importance of open research data in modern science by doing a systematic literature review; this study sources relevant publications from the Web of Science and Scopus databases, with a temporal focus from 2000 to 2023. The findings offer a comprehensive analysis of existing literature that bridges the two domains above, aiding in the theoretical and methodological systematization of the subject matter. The discussion section elaborates on the findings, offering insights into the evolutionary trajectory of the subject matter. Emphasis is placed on the utility of ontologies as tools for the sustainable and effective utilization of research data, accentuating the value of such data as a basis for future scholarly work. In conclusion, we advocate for information science to take a leading role in initiatives that leverage ontological frameworks to manage specialized knowledge in research data sets effectively, ensuring that such data remains an asset for advancing scientific understanding.

Telemedicine and information technology in health care management: Perspectives and barriers among the nursing students

BACKGROUND: Telemedicine refers to using electronic information and telecommunication technologies to support numerous aspects of healthcare, including clinical care, patient and professional education and training, public health, and health administration. However, many challenges hinder the widespread adoption of telemedicine by healthcare providers. This study aimed to assess the perspectives and barriers in telemedicine and information technology in health care management among nursing students. MATERIALS AND METHODS: A cross-sectional study was conducted among 60 nursing students enrolled in the third and fourth years. The sample was selected using a nonprobability purposive sampling technique from students studying at the Applied Medical Science Colleges for Females, University of Bisha. Data collection was facilitated through a structured questionnaire, and the gathered data were analyzed using SPSS version 22. The study was conducted between August 15, 2022 and November 20, 2022. RESULTS: 61% of students believe that telemedicine will lead to a reduction in travel time, costs, and effort. Approximately two-fourths of the sample’s perspectives revolve around concerns regarding privacy, medical errors, and camera comfort. However, more than 30% of participants agree that telemedicine will improve the quality of patient care, decrease waiting times, be beneficial for patient care in remote areas, and assist in providing appropriate information during emergency. 59% of respondents identified the lack of time or busy schedules as the most frequently reported barrier to using telemedicine. Following this, concerns regarding privacy, confidentiality, unreliable Internet connections, and inadequate knowledge about computer technology and Information Management Systems were also commonly cited as barriers. These factors were identified as the primary obstacles hindering the progress of telemedicine. CONCLUSION: This study concluded that telemedicine is a critical tool to address the challenges of limited medical resources in healthcare facilities. However, reduced healthcare costs and waiting time and improved patient access to healthcare in remote areas all helped promote telemedicine implementation. In these remote areas, telemedicine has the potential to bridge this distance and facilitate healthcare.

Intensity of nursing work in a primary healthcare center: An observational study

ObjectivesIn the sphere of occupational intensity, nursing stands recognized for its inherently demanding nature, marked by a rapid succession of tasks. Our primary aim was to assess the level of job intensity within nursing by analyzing the frequency and duration of activities performed by nurses, instances of task overlap, and the distribution of break times within a primary healthcare center. MethodsThis study was conducted using a descriptive working method. Nursing activities were recorded with the observation of six nurses, each monitored for 37.5 h. We used the Maribor System for measuring Quantity in Nursing Care in Primary Health Care Settings to measure the nursing care activities about direct patient care, indirect patient care, and other unproductive aspects through direct non-participant observations. ResultsAbout 41.5% (n = 1,640) of all nursing activities involving direct contact with patients, about 38.2% (n = 1,508) was indirect patient care, where a large amount worked with paper files (n = 666, 16.9%). In addition, about 15.0% were other nursing activities (mostly computer work), and just 5.3% (n = 210) of tasks were unproductive. The observational findings indicate a pronounced level of work intensity experienced by nurses in primary health clinics. Significantly, nurses were predominantly engaged in direct patient care tasks, often managing multiple activities simultaneously. Their transitions between tasks occurred approximately every 3 min, frequently without adequate intervals for breaks. ConclusionsThis study highlights the need to shift nurses’ focus from a task-centric approach to one centered on patient care. The prevailing emphasis on tasks may contribute to enduring fatigue and professional dissatisfaction. Consequently, there is an urgent need to redefine the scope of a nurse’s role and implement a comprehensive computer information system as an integral part of this redefined approach.

The Research Development Track of Internet of Things in the Application Area of Communication Technology

Computer networks, mobile media, and information and communication technology (ICT) have grown progressively, and the development of communication technology is closely connected with that of ICT. This study explored the role played by the Internet of Things as ICT develops. Accordingly, through main path analysis and keyword co-occurrence network analysis, this study was designed to learn the major research development track, cluster status, and future research and development of the Internet of Things in the application area of communication technology.