Development Of Advanced Technologies Research Articles

Improving the Quality of Digital Images on Identity Cards Using Contrast Stretching and Retinex Methods

Enhancing the image quality of the Indonesian Identity Card is crucial to ensure the clarity and accuracy of information in various applications, such as identity verification, administration, and security. This study aims to improve the digital image quality of Identity Card using the Contrast Stretching and Retinex methods. Contrast Stretching is employed to enhance image contrast, while the Retinex method is used to maintain and improve the clarity of colors and image details. The implementation of these methods is carried out using Python. The test results show that these methods are effective in improving the quality of Identity Card images, making the information on the images clearer and easier to read. This research contributes to the development of more advanced image processing technology, which can be applied to various verification and administrative needs that require high reliability.

Advancing radiation therapy safety in cancer-care: Leveraging AI for adverse reaction prediction

The development of advanced technologies for radiation cancer treatment plays a pivotal role in anticipating potential complications, safeguarding patient well-being, and elevating treatment satisfaction. Access to curated medical data coupled with specialized knowledge in radiation oncology is indispensable for equipping healthcare professionals with the insights needed to make informed treatment decisions. This study endeavors to provide systematic support to practitioners in predicting personalized side effects of radiation oncology treatments before their administration to patients. For this, a pioneering ontology-based methodology for evidence-based medicine is introduced, drawing upon information and evidence from various scientific outlets. This approach utilizes semantic modeling and rule-based reasoning to assess radiation therapy pathways, ensuring adjustments are made when necessary to mitigate health risks and enhance safety. Focused on radiation oncology, the intricacies of knowledge are simplified and validated through real reported cases obtained from scientific literature. The resulted predictive model demonstrated a notable compatibility rate of 76.7% with real reported risks, surpassing conventional methods by 4% during testing achieves 89% success with single therapies but faces challenges with complex regimens. Data enrichment may increase accuracy by 20% over five years. Current method accuracy is 92%, with potential for 97% through quantum-inspired methods. Testing reveals 80.1% compatibility, exceeding conventional approaches by 3%. These findings hold significant potential of ontology-based models for revolutionizing radiation oncology treatment strategies in the realm of radiation protection.

The Effect of Occupational Safety and Health Counseling on the Use of Personal Protective Equipment at the Special UPTD of the Medan Hajj Hospital

The development of occupational safety and health science in the work environment can be seen with the development of advanced science and technology as well as the emergence of new innovations in the work environment and encouraging companies to improve the knowledge and skills of their human resources. The purpose of this study is to determine the Influence of Occupational Safety and Health Education (K3) on the Behavior of Using Personal Protective Equipment at the Special UPTD of Haji Medan Hospital. This research includes quasi-experimental research. This study uses a one group pretest and pottest design. The population in this study is emergency room nurses at the Special UPTD of Haji Medan Hospital which totals 50 nurses in June-August 2024. The sampling technique in this study is total sampling. The measuring tool in this study uses a univariate and bivariate distribution of non-parametric data with the Wilcoxon test. The results of the Wilcoxon statistical test of both knowledge and attitude obtained a P-value of 0.000. This means that at alpha 5% there is a significant difference in median score between before and after counseling. Meanwhile, in the aspect of action, there was an increase in the number of PPE users between before and after counseling. Because the results of Asymp.Sig of knowledge, attitudes and actions are less than 0.05, H0 is rejected so that there is an influence of occupational health and safety counseling (K3) on the behavior of using PPE. In conclusion, there is an influence of Occupational Safety and Health Counseling (K3) on the behavior of using personal protective equipment at the Special UPTD of Haji Medan Hospital. The suggestions are expected to increase the frequency of counseling and provide information on the importance of using personal protective equipment in the workplace, provide strict sanctions against nurses who do not use personal protective equipment at work, increase the frequency.

Love wave propagation on nano-sized layered piezoelectric plate clamped on micropolar substrate

This research paper investigates the complex dynamics of Love wave propagation on a piezoelectric plate situated atop a micropolar elastic half-space having imperfect interface. The study delves into the multifaceted effects of flexoelectricity, micro-inertia, guiding layer thickness, and interfacial imperfection on the characteristics of Love waves. The electromechanical coupling factor which is significant in analyzing SAW device performances is also studied. Variable separable method is used to solve the governing equations and desired solution is obtained analytically. The findings contribute to a deeper understanding of Love wave propagation in complex elastic structures and development of advanced sensors and communication technologies.

Impact of in-core fuel management on the radial peaking factor in the APR-1400 with accident-tolerance fuel cladding

This study provides an in-depth examination of the initial, transition, and equilibrium cycles of the APR-1400 reactor core, focusing on reference fuel cladding and ATF cladding systems. This research highlights the importance of in-core fuel management strategies, particularly checkerboard configuration, in maintaining safe and efficient reactor operations. The radial peaking factor (RPF) is an essential parameter in evaluating the core configuration, and a study demonstrated that the RPF can be effectively controlled below the threshold of 1.85 through careful fuel reshuffling and introducing new fuel assemblies. Key findings indicate that the RPF values vary across different cycles but remain within safe limits. Specifically, the RPFs for the initial, first transition, second transition, and equilibrium cycles are 1.36, 1.21, and 1.23; 1.43, 1.38, and 1.30; 1.64, 1.44, and 1.31; and 1.29, 1.33, and 1.66, respectively, measured at the beginning, middle, and end of each cycle. These results underscore the effectiveness of the proposed fuel management strategies in maintaining a stable and safe power distribution within the reactor core. This study also underscores the potential benefits of ATF cladding materials, such as chromium-coated zirconium, which offer enhanced resistance to high-temperature oxidation, thereby improving reactor safety under normal and accident conditions. The implementation of ATFs could lead to significant improvements in safety margins, operational efficiency, and overall reactor performance. This research contributes valuable insights into optimizing in-core fuel management practices for the APR-1400 reactor. This study lays a foundation for future studies and practical applications that could further enhance the safety and efficiency of nuclear power plants. By demonstrating the advantages of ATFs and effective fuel management, this study supports the continued development and deployment of advanced nuclear technologies, promoting greater public confidence in nuclear energy as a reliable and safe power source.

Femtosecond optical vortex-induced flower-shaped surface relief structures in an azo-polymer film

We study the formation of surface relief structures in azo-polymers generated via two-photon induced photoisomerization using a femtosecond near-infrared optical vortex laser beam. These structures exhibit exotic flower-like shapes with petals along the azimuthal direction, and they are formed from spatial mode instability, which is associated with third-order nonlinear effects in the azo-polymer. This process is a unique and exotic interaction between light and matter, which may be applied to the development of advanced optical data storage technologies. Here, an additional degree of freedom is offered by the number of formed petals, which themselves are a function of the topological charge of the optical vortex beam.

E-Presence Application Increases the Level of Health Personnel Discipline to Improve the Quality of Health Services in Hospitals (Systematic Review Paper)

ABSTRACT In the era of increasingly advanced digital technology development, the government in Indonesia uses the E-presence digital attendance application to make attendance easier for its health workers. The use of e-presence is a form of progress in information technology in government. It is necessary to research changes in the level of discipline of health workers in implementing E-presence so that it can improve the quality of service or even reduce the quality of service. Find out how the use of E-presence among health workers can improve work discipline and improve service quality. The research design in this article uses descriptive qualitative research with data originating from the results of systematic reviews from various relevant national journal sources. Articles were obtained from Google Scholar and PubMed with identification in 2023 via Google Scholar n=205 and PubMed n=80. National and International Articles. With the keywords "Digital E-Presence", "Discipline Level", "Service Quality", "Attendance", "Android", "QR Code", and "Discipline". Penelusuran artikel penelitian di tahun 2023 menggunakan kata kunci pada database (n=285). Dilakukan skrining berdasarkan kriteria inklusi dan ekslusi, dan menghasilkan 9 artikel penelitian yang layak sesuai dengan kriteria. This research has changed the motivation of health workers where the level of discipline of health workers has increased and their orientation towards achievement has also improved. The use of e-presence has the impact of increasing the quality of service in hospitals because health workers are present to serve patients on time. Keywords: Health Personnel, The Quality Of Health, Services In Hospitals

The Client’s Perspective Is Essential for Creating Usable Technology. Evolving to an Asset-based Business Model and Strengthening the Capability to Use Advanced Technologies and System Development Technologies

The Client’s Perspective Is Essential for Creating Usable Technology. Evolving to an Asset-based Business Model and Strengthening the Capability to Use Advanced Technologies and System Development Technologies

Rekonstruksi Kalimat pada Teks Berita di Laman CNN Indonesia Edisi Desember 2023 sebagai Bahan Ajar Membaca Kritis Siswa Kelas 12 SMA

News is a text that has an important role in disseminating information. News text is so useful that it has become a literacy material for students due to the development of advanced technology. Although it has become one of the sources of student literacy, online news texts are still classified as having syntactic errors such as a lack of understanding of the language used in compiling a sentence in the news. The purpose of this study is to describe sentence errors in the news contained in the old CNN Indonesia news, such as "December Sky Phenomena: Geminid Meteor Shower to Solstice", "Mandalika Circuit's Important Role in Bringing Indonesian Drivers to Success in Asia", "Solar Storms Raining on Earth, RI Safe?", "The First Candidate Debate will be Held at the KPU Office on December 12", and "When HIV Tests Become a Scary Scourge Because of People's Scorn". This research uses a descriptive method with a qualitative approach. The results of this study found several findings such as effective sentences, ineffective sentences, spelling errors according to EYD, errors in the use of diction, and sentences that are not clear to the reader. The most common error found in the five news articles is ineffective sentences. The benefit of this research is to provide knowledge insights in the form of understanding sentence writing systematically, which will be useful in improving understanding of authorship in news texts and preventing errors from occurring again in the same news so that it is worthy of being a literacy material for 12th grade high school students.

Low-temperature reactivity, extinction, and heat release rate of non-premixed cool flame at elevated pressures

Understanding the fundamental characteristics of high-pressure cool flames is crucial for the development of advanced and efficient low-temperature combustion engine technologies. The pressure dependency of multi-oxygen addition branching reactions in low-temperature chemistry significantly influences the dynamics, structure, and reactivity of cool flame. This study investigates the non-premixed cool flame of diethyl ether (DEE) at elevated pressures. The results show that pressure rise promotes low-temperature chemistry and significantly extends the extinction limit of cool flame. It is found that the cool flame heat release rate is correlated with the product of pressure and the square root of the pressure-weighted strain rate, Q∼aP·P, which is different from that of hot flames, Q∼aP. The radical index concept for atmospheric cool flames is extended to high-pressure cool flames allowing to decouple the mass and thermal transports from the chemical kinetics term to evaluate the fuel reactivity at elevated pressures. The radical index shows that the low-temperature reactivity of DEE is enhanced with the pressure and is higher than n-dodecane by a factor of 19, 18.3, and 16.4 for 1, 3, and 5 atm, respectively. Kinetic analysis reveals that pressure rise results in QOOH stabilization and promotions of the second O2 addition and the chain-branching reaction pathway for multiple OH radical productions.

Flame stabilization and emission reduction: a comprehensive study on the influence of swirl velocity in hydrogen fuel-based burner design

PurposeThis study aims to numerically analyse a full-scale burner across a wide range of operating pressure conditions and determine the effect of swirl velocity on flame stabilization, flame holding and combustion performance.Design/methodology/approachThis study uses a numerical analysis approach to investigate a three-dimensional full-scale burner. Modified governing equations are used to determine the effect of swirl velocity on flame stabilization and flame holding. The GR-Mech 3.0 chemical reaction mechanism is used to predict the combustion process. To validate the model, a grid independence study is performed.FindingsThe study reveals that swirl velocity enhances flame stability, resulting in better combustion rates. As the swirl velocity increases, higher flame temperatures are observed due to high convective heat recirculation. The heat transfer coefficient and high radiative extinction coefficient are found to vary based on fuel swirl velocity. The mass fraction of CH4 and CO emphasizes the role of swirl velocity on flame structure. Increasing velocity potentially improves combustion by delaying the process, leading to better combustion and lower emissions.Originality/valueThe findings of this study contribute to the understanding of swirl-stabilized combustion and can guide the development of advanced combustion technologies, making it a valuable addition to the existing combustion field.

Telecom-band multiwavelength vertical emitting quantum well nanowire laser arrays

Highly integrated optoelectronic and photonic systems underpin the development of next-generation advanced optical and quantum communication technologies, which require compact, multiwavelength laser sources at the telecom band. Here, we report on-substrate vertical emitting lasing from ordered InGaAs/InP multi-quantum well core–shell nanowire array epitaxially grown on InP substrate by selective area epitaxy. To reduce optical loss and tailor the cavity mode, a new nanowire facet engineering approach has been developed to achieve controlled quantum well nanowire dimensions with uniform morphology and high crystal quality. Owing to the strong quantum confinement effect of InGaAs quantum wells and the successful formation of a vertical Fabry–Pérot cavity between the top nanowire facet and bottom nanowire/SiO2 mask interface, stimulated emissions of the EH11a/b mode from single vertical nanowires from an on-substrate nanowire array have been demonstrated with a lasing threshold of ~28.2 μJ cm−2 per pulse and a high characteristic temperature of ~128 K. By fine-tuning the In composition of the quantum wells, room temperature, single-mode lasing is achieved in the vertical direction across a broad near-infrared spectral range, spanning from 940 nm to the telecommunication O and C bands. Our research indicates that through a carefully designed facet engineering strategy, highly ordered, uniform nanowire arrays with precise dimension control can be achieved to simultaneously deliver thousands of nanolasers with multiple wavelengths on the same substrate, paving a promising and scalable pathway towards future advanced optoelectronic and photonic systems.

Integration of cognitive conflict in generative learning model to enhancing students’ creative thinking skills

In the complexity of the Fourth Industrial Revolution era, the importance of creative thinking is increasingly emphasized in the context of learning computing and algorithms. These skills are instrumental in inspiring innovative solutions, addressing complex challenges, and fostering the development of advanced technologies that characterize the transformative landscape of Industrial Revolution 4.0. This study aims to determine the effectiveness of the generative learning model based on cognitive conflict in improving the creative thinking skills (CTS) and learning outcomes of students in the computational physics and algorithms & programming courses. This research used mixed methods consisting of pretest-posttest control group design and snowballing technique. The research instruments consist of cognitive tests, psychomotor tests, affective tests, CTS tests, observation questionnaires, and interviews. The research sample consisted of 138 students taking computational physics and algorithms & programming courses. Quantitative data were analyzed using multivariate analysis of variance and qualitative data were analyzed using narrative analysis. The findings indicate that this model effectively improves students’ CTS and learning outcomes. Furthermore, the cognitive conflict aspect encourages students to be creative in analyzing and solving problems. This model has the potential to be used to optimize students’ potential in facing the demands of the fourth industrial revolution.

Artificial Intelligence Supporting Early Automotive Engineering Processes

Abstract Due to progressive increase of complexity, the automotive industry is subject to constantly changing trends varying from the introduction of greener products and components to the deployment of technological advances in development and engineering processes. In relation to both, sustainable automotive products as well as the deployment of technological advances, the integration of AI (Artificial Intelligence) approaches in combination with virtual products in automotive development and engineering processes is of great importance. In combination with knowledge-based CAx (Computer-Aided engineering), the integration of AI approaches delivers an enormous potential to enhance automotive development processes. In addition to process optimizations, the integration of various AI approaches considers sustainability (e.g., optimization of component geometries and materials, reduction of emissions over the entire life cycle, CO2 reduction through improved development) and economical aspects (e.g., resources savings throughout the entire development process, time and cost savings through earlier error detection, avoidance of unnecessary process steps). The present approach deals with the integration of AI and knowledge-based engineering methods in the early phases of automotive development and engineering processes. Furthermore, the paper points to the time, cost and resources reduction potential, leading to earlier market entries and a greener industry. Finally, the paper demonstrates the integration of AI technologies into industrial development and engineering processes based on selected application scenarios.

Can Artificial Intelligence Effectively Improve China’s Environmental Quality? A Study Based on the Perspective of Energy Conservation, Carbon Reduction, and Emission Reduction

The “technological dividends” brought by AI development provide a new model for the country to achieve green governance, enhance enterprises’ ability to manage pollutant emissions during production and operations, and create a new driving force for improving environmental quality. In this regard, this paper systematically examines the impact of AI on environmental quality in China by employing provincial panel data spanning from 2000 to 2020. Focusing on energy conservation, carbon reduction, and emissions mitigation, the analysis is conducted through the application of a two-way fixed-effects model and mediation effects model to explore both the effects and the mechanisms of AI’s influence on environmental quality. The findings indicate that the development and implementation of AI contribute positively to China’s efforts in energy conservation, carbon reduction, and emissions mitigation, ultimately leading to an enhancement in environmental quality. This conclusion remains valid after multiple robustness checks. Mechanism tests reveal that the optimization of regional energy structures, advancements in green technological innovation, and upgrades in industrial structures serve as crucial pathways through which AI facilitates energy conservation, carbon reduction, and emissions mitigation. Heterogeneity analysis uncovers a notable “path dependence” effect in China’s AI development; regions characterized by higher material capital investment, more advanced technological market development, and greater levels of marketization experience a relatively more pronounced impact of AI on the enhancement of environmental quality. This study offers direct references and practical insights for countries globally to foster AI development, enhance environmental quality, and advance high-quality economic growth amid the ongoing wave of digital and intelligent transformation.

ПРОБЛЕМЫ ГЕЙМИФИЦИРОВАННОГО ОБУЧЕНИЯ РКИ И МЕТОДЫ ИХ РЕШЕНИЯ

The article considers gamification in education as a principle for organizing the educational process, its pros and cons in teaching Russian as a foreign language, as well as ways to prevent the formation of negative habits among students. The authors draw attention to the fact that the introduction of new teaching methods requires the adaptation of teachers to modern strategies and to the continuous development of advanced technologies. The text demonstrates the need for conscious and accuracy when using gamification in order to avoid oversimplification and evaluation of results by external criteria. The danger of students becoming accustomed to easily obtaining results and superficial assimilation of material in gamified courses is discussed. The text also returns to the idea of the importance of recording and visualizing information in the educational process. The authors note the significance of students’ own analytical work, awareness when performing tasks, deep immersion in the process of cognition and the development of creative thinking. Finally, the article emphasizes that gamification is a method that requires caution, careful attitude, and an emphasis on formation of students' cognitive skills.

Theoretical Aspects of Transdisciplinarity in Telerehabilitation

This article explores the theoretical aspects of transdisciplinary research, with a specific focus on its application to telerehabilitation. The integration of multiple disciplines – ranging from medicine, digital health, and informatics to engineering and the social sciences – is increasingly necessary to address the complex challenges of delivering effective remote rehabilitation services. The article begins by outlining the conceptual framework, distinguishing between disciplinary, interdisciplinary, multidisciplinary, and transdisciplinary approaches, and highlighting the importance of transcending traditional disciplinary boundaries. The theoretical foundations discussed provide a basis for understanding how the convergence of diverse fields can lead to innovative solutions in telerehabilitation. The integration of disciplines is examined in detail, illustrating how collaborative efforts across medicine, technology, and behavioral sciences can enhance patient outcomes, improve accessibility, and foster the development of personalized rehabilitation plans. The article also covers the practical implications for clinical practice, emphasizing the need for a more collaborative model of care delivery and the potential for cost-effective, scalable solutions. Looking toward the future, the article identifies key areas for research, including the development of advanced technologies, exploration of new therapeutic modalities, and consideration of ethical and social impacts. The need for standardization and interoperability in telerehabilitation systems is also underscored, as these will be critical to ensuring the seamless integration of various technologies and platforms.

A cellular automata based secured reversible data hiding scheme for dual images using bit-reversal permutation technique

With the rapid development of advanced communication technology, protection of confidential data during transmission through public channel has become a challenging issue. In this context, the design of a data hiding scheme needs to ensure reversibility, robustness against various malicious attacks, and unaltered visual quality even after embedding high amount of secret data. To meet the above requirements, Cellular Automata along with Bit-Reversal Permutation technique have been utilized on dual-image with the target to enhance the robustness of suggested scheme due to distribution of secret information within two stego images which is hard to extract without both stego simultaneously. The proposed scheme makes a trade-off among visual quality, security and embedding capacity as essential for ensuring innocuous communication. The experimental results and comparison with the state-of-art methods establishes that the proposed scheme ensures high degree of robustness against different venomous attacks. This approach may be beneficial to private and public sector practitioners and government agencies to protect valuable multimedia secret data from adversarial cyber attacks.

Enhancing Blue Polymer Light-Emitting Diode Performance by Optimizing the Layer Thickness and the Insertion of a Hole-Transporting Layer.

Polymer light-emitting diodes (PLEDs) hold immense promise for energy-efficient lighting and full-color display technologies. In particular, blue PLEDs play a pivotal role in achieving color balance and reducing energy consumption. The optimization of layer thickness in these devices is critical for enhancing their efficiency. PLED layer thickness control impacts exciton recombination probability, charge transport efficiency, and optical resonance, influencing light emission properties. However, experimental variations in layer thickness are complex and costly. This study employed simulations to explore the impact of layer thickness variations on the optical and electrical properties of blue light-emitting diodes. Comparing the simulation results with experimental data achieves valuable insights for optimizing the device's performance. Our findings revealed that controlling the insertion of a layer that works as a hole-transporting and electron-blocking layer (EBL) could greatly enhance the performance of PLEDs. In addition, changing the active layer thickness could optimize device performance. The obtained results in this work contribute to the development of advanced PLED technology and organic light-emitting diodes (OLEDs).

In-depth analysis of the removal mechanisms behind neonicotinoid pesticides and bimetal ZIF derived-magnetic carbon

Emerging organic contaminants, such as pesticides, pose significant environmental challenges and necessitate the development of advanced materials and technologies for their efficient removal. This study explored various morphologies of bimetal ZIF-derived magnetic carbon for the removal of three representative neonicotinoid pesticides from water. Among the materials investigated, Co-NP3-1000, carbonized at 1000℃ from Zn/Co-ZIF with a Zn/Co molar ratio of 3:1, demonstrated outstanding adsorption performance, even in the presence of varying water chemistry parameters (e.g., humic acid and particulate matter), and effectively removed neonicotinoid pesticides at low concentrations from diverse actual water samples. Due to its strong magnetic properties, Co-NP3-1000 could be easily separated from solutions and maintained over 70% adsorption efficiency after five consecutive cycles. Moreover, Co-NP3-1000 exhibited high efficiency in removing other neonicotinoid pesticides (i.e., acetamiprid, nitenpyram, and thiamethoxam). Microstructure analysis and density functional theory calculation identified pore filling, hydrogen bonding, and π-π interactions as the primary forces driving NEOs adsorption. Notably, the relative contribution of these interactions was quantitatively assessed across different solution pH levels, and their sequence was elucidated using two-dimensional Fourier transform infrared correlation spectroscopy. This work advances both the design of versatile materials for the removal of emerging organic contaminants and quantitative insights into the interaction mechanisms between advanced adsorbents and these contaminants.