Adaptive Technology Research Articles

A Review of the Challenges of Adaptive Filtering Technology in High-fidelity Audio Signal Processing

Abstract. High-fidelity audio signal processing plays an important role in modern audio technology. With the increasing demand for this technology in various audio application scenarios, the optimization of adaptive filters has emerged as a significant challenge in this field. This paper focuses on improving the performance of adaptive filters in high-fidelity audio signal processing which aims to improve the adaptability and efficiency of filters in complex audio environments by improving algorithms. In this study, the adaptive filtering algorithm based on wavelet transform and particle swarm optimization is used to verify the audio data processing by simulation and real data processing. The research data was collected using the standard audio signal database and the actual collected high-fidelity audio samples. The results show that the improved adaptive filter can significantly improve the performance of complex audio environments, improve the clarity and fidelity of audio signals and reduce the computational complexity. It is also suitable for real-time processing scenarios with limited resources. The conclusion shows that this method provides an efficient solution for high-fidelity audio signal processing and has a wide application prospect.

High Consistency Ramp Design Method for Low Noise Column Level Readout Chain.

In order to address the inconsistency problem caused by parasitic backend wiring among multiple ramp generators and among multiple columns in large-array CMOS image sensors (CIS), this paper proposes a high-precision compensation technology combining average voltage technology, adaptive negative feedback dynamic adjustment technology, and digital correlation double sampling technology to complete the design of an adaptive ramp signals inconsistency calibration scheme. The method proposed in this article has been successfully applied to a CIS with a pixel array of 8192(H) × 8192(V), based on the 55 nm 1P4M CMOS process, with a pixel size of 10×10μm2. The chip area is 88(H) × 89(V) mm2, and the frame rate is 10 fps. The column-level analog-to-digital converter is a 12-bit single-slope analog-to-digital converter (SS ADC). The experimental results show that the ramp generation circuit proposed in this paper can reduce the inconsistency among the ramp signals to 0.4% LSB, decreases the column fixed pattern noise (CFPN) caused by inconsistent ramps of each column to 0.000037% (0.15 e-), and increases the overall chip area and power consumption by only 0.6% and 0.5%, respectively. This method provides an effective solution to the influence of non-ideal factors on the consistency of ramp signals in large area array CIS.

Learn to Adapt for Self-Supervised Monocular Depth Estimation.

Monocular depth estimation is one of the fundamental tasks in environmental perception and has achieved tremendous progress by virtue of deep learning. However, the performance of trained models tends to degrade or deteriorate when employed on other new datasets due to the gap between different datasets. Though some methods utilize domain adaptation technologies to jointly train different domains and narrow the gap between them, the trained models cannot generalize to new domains that are not involved in training. To boost the transferability of self-supervised monocular depth estimation models and mitigate the issue of meta-overfitting, we train the model in the pipeline of meta-learning and propose an adversarial depth estimation task. We adopt model-agnostic meta-learning (MAML) to obtain universal initial parameters for further adaptation and train the network in an adversarial manner to extract domain-invariant representations for easing meta-overfitting. In addition, we propose a constraint to impose upon cross-task depth consistency to compel the depth estimation to be identical in different adversarial tasks, which improves the performance of our method and smoothens the training process. Experiments on four new datasets demonstrate that our method adapts quite fast to new domains. Our method trained after 0.5 epoch achieves comparable results with the state-of-the-art methods trained at least 20 epochs.

Bridging the Gap: Benetech’s Approach to Empowering the Visually Impaired

Innovation is crucial for addressing challenges faced by children with visual impairments, as it enables the development of adaptive technologies and inclusive educational tools that enhance accessibility, independence, and learning opportunities.

Assessing cognitive flexibility in adaptive learning technologies for special education

This study used quantitative methods to examine the correlation between adaptive learning technology and cognitive flexibility in kids receiving special education. The study included a cohort of 120 kids, ages 8–12, who were diagnosed with particular learning difficulties, ADHD, or autism spectrum disorder. Cognitive flexibility was evaluated using the Wisconsin Card Sorting Test (WCST), while the utilization of adaptive learning technologies was quantified using self–report questionnaires. The data was analyzed using several statistical methods, such as independent samples t-tests, regression, Pearson correlation coefficients, ANOVA, and ANCOVA. The findings revealed a noteworthy and favorable correlation between the utilization of adaptive technology and the scores of cognitive flexibilities. This correlation remained significant even after accounting for demographic characteristics. Moreover, it was shown that the diagnostic status had a moderating effect on the correlation between the utilization of adaptive technology and cognitive flexibility. The results emphasize the capacity of adaptive learning technologies to improve cognitive flexibility abilities in kids with special needs, offering significant knowledge for educators, legislators, and technology developers.

Potencial de contaminação das águas subterrâneas por necrochorume em Bragança – Pará

The objective of this research was to evaluate the potential for groundwater contamination by cemetery activity in Bragança, Pará, through geospatial analysis of the areas directly affected by the necropolises: Santa Rosa de Lima and Campo da Saudade. To prepare the geomorphological, pedological, relief, and altitude characterization of Bragança, we used free images from high-resolution satellites – Planet, Dove sensor and Alos Palsar, Alos sensor, which were processed in the ArcGis 10.5 software. Later, an on-site visit and photographic recording of the cemeteries were also conducted to check for non-compliance with current burial legislation. As the main results, it can be deduced that the current situation of the analyzed cemeteries is worrying, as they are in soils whose ability to retain trace elements (heavy metals) and humorous liquids is low, on minimum slopes and at inappropriate distances between graves and aquifers underground. Furthermore, it was observed that Bragantino cemeteries disagree with cemetery legislation, but there is an understanding that there are techniques and technologies for adaptation. It is believed that involving the population and pluralizing environmental and sanitation issues can support negotiations on how and when they will manage their burial activities to guarantee the perpetuity of the maximum quality of Bragança's water and soil resources.

Adaptive fuzzy neural super-twisting control of micro gyroscope sensor

To maintain the vibrations of the gyroscope proof mass, an adaptive super-twisting sliding mode control (STSMC) of a micro gyroscope based on a two-loop recursive fuzzy neural network (TLRFNN) is designed. In order to estimate the unknown parameters of the nonlinear system online, an adaptive technology is adopted based on the parameter linearization of the nonlinear model. In response to the problem of system chattering caused by ordinary sliding mode control, the STSMC with the advantages of high order sliding mode and conventional sliding mode is introduced. Aiming at the problem of uncertainty in system parameters, a two-loop recursive fuzzy neural network approximation with the competence over the storage of a priori information is utilized. All adaptive laws are obtained under the Lyapunov stability framework which contributes to the stability of the system. The simulation research shows the system exhibits good tracking performance and maintains a small tracking error under the control of the suggested control system. The effect is measured by calculating the root mean square error (RMSE) parameter of the tracking error and the proposed control system achieves a tracking effect of \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{1}}{\ ext{0.8590}} \ imes {\ ext{1}}{{\ ext{0}}^{ - 4}}$$\\end{document} and \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{2}}{\ ext{0.0831}} \ imes {\ ext{1}}{{\ ext{0}}^{ - 4}}$$\\end{document} in the x and y directions, respectively.

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TEACHING CAREERS: PEDAGOGICAL, ADMINISTRATIVE AND ETHICAL CHALLENGES AND OPPORTUNITIES

This article reviews the impacts of Artificial Intelligence (AI) on teaching careers, with a focus on the pedagogical, administrative, and ethical dimensions, based on an analysis of recent studies (2022-2024). In the pedagogical dimension, AI has the potential to personalize teaching through adaptive systems and virtual tutors, adjusting content to students needs. However, this personalization could compromise teachers autonomy, as they may become dependent on algorithms for decisions regarding lesson pacing and content. In the administrative dimension, AI automates tasks such as grading and lesson planning, allowing for more teaching-focused time. However, this requires new training and technological adaptations, which may increase teachers workloads. In the ethical dimension, challenges such as data privacy, algorithmic bias, and digital exclusion could exacerbate educational inequalities. The article provides recommendations for leveraging AI as a teaching aid while preserving teacher autonomy and ensuring ethical and inclusive implementation. Methodological limitations, such as the narrow temporal scope and the lack of long-term impact studies, are acknowledged. The article also calls for future research on AI integration in various educational contexts and the development of public policies to ensure equitable technology adoption in schools and universities.

Potential and Challenges of Using Sensing Technology to Support the Eradication of Armed Criminal Groups in Papua

Papua, a resource-rich region in Indonesia, faces significant security challenges due to the presence of armed criminal groups (KKB). The eradication of KKB in this area requires advanced tools, among which sensing technology shows considerable promise. Sensing technologies, including satellites and drones, can offer precise and real-time data crucial for monitoring and responding to KKB activities. However, the effective deployment of these technologies is impeded by Papua's complex geographical terrain, extreme weather conditions, and inadequate infrastructure. This study aims to explore the potential of sensing technology in combating KKB by addressing these specific challenges and proposing strategies to optimize its use. Through a systematic literature review, the research identifies effective sensing methods and highlights the obstacles encountered in similar contexts. Findings suggest that adaptive technology development, increased resilience to weather conditions, and improvements in infrastructure are essential for maximizing the benefits of sensing technology. This research contributes to the development of effective strategies for eradicating KKB and enhancing security in Papua, emphasizing the need for coordinated efforts between government, research institutions, and the private sector to address the region's unique challenges.

Application of Building Information Modelling in Construction and Demolition Waste Management: Systematic Review and Future Trends Supported by a Conceptual Framework

The architecture, engineering, construction, and operations industry faces an urgent need to enhance construction and demolition waste management in urban areas, driven by increasing demolition and construction activities and a desire to align with sustainable practices and the circular economy principles. To address this need, a systematic literature review on the building information modelling methodology was conducted, employing a structured protocol and specific tools for the analysis of academic studies, based on PRISMA guidelines and StArt software (version 3.4 BETA). Ninety relevant studies published between 1998 and 2024, were analysed and selected from the Web of Science, Scopus, and Engineering Village databases. Findings indicate that China leads in publications with 34%, followed by Brazil (8%) and the United Kingdom (7%). The analysis emphasises the use of drones and LiDAR scanners for precise spatial data, processed by 3D reconstruction tools like Pix4D and FARO As-Built. Revit excels in 3D modelling, providing a robust platform for visualisation and analysis. Visual programming tools such as Dynamo automate processes and optimise material reuse. The study presents a conceptual framework that integrates these technologies with the principles of the circular economy, clarifying the interactions and practical applications that promote the sustainable management of demolition waste from urban buildings and process efficiency. Although the approach promotes material reuse and sustainability, it still faces barriers such as the need for waste segregation at the source, the adaptation of innovative technologies, like the iPhone 15 Pro LiDAR and thermal cameras, as well as associated costs. These factors may limit its adoption in larger-scale projects, particularly due to the increased complexity of buildings.

DEVELOPMENT OF STUDENTSʼ MOTOR ACTIVITY USING DISTANCE LEARNING TECHNOLOGIES

The article analyzes the implementation of various modern methods and technologies of interaction between students in the educational process of higher education institutions, from the point of view of the skills of organizing and conducting online events. It was found that the development of students’ motor activity and the organization of the educational process of physical education using distance learning technologies in emergency conditions and crisis situations has its own pedagogical, technical and social features, which must be resolved in order to ensure quality education and increase the effectiveness of the educational process of higher education applicants. Based on the analysis of technological results that contribute to the improvement of the results of the use of distance technologies, the following “adaptive learning technologies”, “mobile learning”,“virtual”,“augmented and hybrid reality”, “Internet of things”, next-generation learning management systems, artificial intelligence and natural user interfaces have been selected. Attention is focused on technologies and methods that can help maintain or even increase the level of motor activity of students during distance learning: organization of online fitness classes through video communication or using video platforms, which will allow students to participate in training directly from their homes; the use of mobile applications for fitness, which offer training programs and exercises to support motor activity; the use of applications that offer mobile exercises and tasks that stimulate students to be active, especially if it looks like a game or a competition; creating reminders or regular breaks for physical activity during distance learning can help students maintain an active lifestyle. The need to provide students with opportunities for physical activity remotely, using technologies and innovations that are accessible and attractive to them.

Power Equalizing Model for Financial Equity in Education Based on Islamic Values

This research explores how the power-equalizing model in educational financial management can increase fund allocation efficiency and transparency by integrating key elements, including stakeholder participation, the use of technology, and innovative economic management strategies. The research method involved interviews with participants, educators, educational managers, and technology developers to identify best practices and challenges faced in implementing this model. The findings show that the power equalizing model in financial management can improve transparency and accountability in fund management. Still, stakeholder coordination and technology adaptation challenges need to be addressed further. The conclusions of this research emphasize the importance of integrating innovative elements in educational and financial management to achieve better efficiency and fair allocation of funds.

Technology Adaption in Distance Teacher Training: The Impact of Demographic Factors on Learners’ Technology Adaption

Understanding how demographic characteristics influence students' technology adaptation is crucial for effective online learning. This study explored the impact of these characteristics on distance education (DE) students' technology adaptation at a sub-Saharan African university. Using a descriptive survey design with a high-reliability score (Cronbach’s Alpha = 0.898), data were collected from 200 DE students across 14 study centres. The study tested seven hypotheses, employing statistical analyses like ANOVA, t-tests, and post hoc tests. Results revealed that while gender and employment status did not significantly affect technology adaptation, age, academic programme, academic level, and study centre did. Students aged 26-35 adapted better, with those in Mathematics and English programs showing higher adaptation scores compared to those in the Postgraduate Diploma in Education (PGDE) program. Additionally, higher-level students and those from well-resourced study centres demonstrated superior adaptability. The study suggests providing targeted support based on age, academic programme, and study centre resources to enhance technology adaptation in DE. To further improve students' technology proficiency, the study recommends that DE institutions offer regular training sessions and workshops to help students navigate online platforms, use digital libraries, and maximize productivity tools.

Analysis of the Use of Educational Game Media for Science Subjects on Digestive System Material

Educational games are games that are used in the learning process, as a form of technology adaptation in the world of education to help teachers improve the learning process in the classroom. Researchers conducted research with the aim of analyzing the use of educational game media during learning; analyze the impact of using educational game media; how important educational game media is in class V science and science learning at Japeledok State Elementary School. This research uses descriptive qualitative research methods. This research was carried out at SDN Japeledok, Pancur District, Rembang Regency. SDN Japeledok has a total of 11 class V students consisting of 7 boys and 4 girls. The data taken from this research are observations, questionnaires, interviews and documentation using triangulation techniques. The results obtained from this research are the use of educational game media in Japeledok Elementary School that have been implemented by class teachers are Wordwall and Quizizz; The impact given after implementing educational game media is an interactive and fun learning experience, training students' thinking skills, increasing interest and motivation to learn, and making students more active in the learning process in class. Overall, educational games have had a lot of positive impacts on students and teachers. Judging from the impact this educational game has, it has an important role in implementing learning. Educational game media not only provides an interesting alternative in education, but also opens up new opportunities to improve the quality of learning and learning experiences for various types of learners.

Customizable Self-Microemulsifying Rectal Suppositories by Semisolid Extrusion 3D Printing.

Objectives: This study aims to create an innovative self-microemulsifying drug delivery system (SMEDDS) suppository for ibuprofen (IBU) using semisolid extrusion (SSE) three-dimensional (3D) printing technology. Methods: Based on solubility studies and the ability to form a transparent microemulsion upon dilution, a selected oil, surfactant, and co-surfactant were utilized to prepare SMEDDS-3DPS containing IBU. The optimal formulation consisted of 10% Triacetin, 80% Gelucire 48/16, and 10% Tetraethylene glycol. SSE 3D printing was employed to create three different-sized suppositories with varying drug contents. These suppositories were assessed for their physicochemical properties, content uniformity, and dissolution profiles. Results: The prepared mixture exhibited suitable physical properties for printing, with nano-sized emulsion droplets providing a large surface area for improved drug absorption in the rectum. Characterization techniques such as differential scanning calorimetry, powder X-ray diffraction, and Fourier transform infrared spectroscopy indicated that IBU was present in the formulation in an amorphous state. Additionally, in vitro dissolution tests demonstrated that SMEDDS-3DPS had a significantly higher initial dissolution rate compared with IBU powder. Conclusions: This research suggests that SMEDDS-3DPS, as a rectal IBU dosage form, can enhance the rectal bioavailability of IBU. It demonstrates the versatility of 3D printing as a novel manufacturing method for lipid-based suppositories and highlights the simplicity and adaptability of SSE 3D printing technology in producing customized suppositories tailored to individual patient needs, surpassing traditional methods.

Technology “like a fork”. How PropTech shapes real estate innovation

PurposePropTech has shown important implications for real estate; however, it remains a poorly understood phenomenon in both academia and practice. This paper aims to advance the understanding of PropTech by disentangling what the real estate sector needs from technology and, in parallel, observing closely the activities of PropTech businesses in two different countries.Design/methodology/approachThe paper adopts a mixed-method approach relying on qualitative data collected through interviews with PropTech players and real estate operators, and quantitative data collected through multiple sources on the Finnish and Italian PropTech ecosystems. The analysis is exploratory and descriptive.FindingsThis study underscores the potential benefits that digital technologies, introduced by PropTech, can add to the real estate sector: data integration; decisions informed from data; balance of new and old approaches to problem-solving; change in vision; adaptability of technologies and business models; and new professional profiles. These benefits are obtained when technology enables innovation from cross-pollination of different sectors. This becomes evident through the analysis of NACE activities, which demonstrates that innovation not only depends on interactions between property and technology, but the phenomenon covers a much broader spectrum of activities and industries.Originality/valueOur exploratory analysis brings up new evidence that not only the real estate sector and property sector are affected by PropTech but the phenomenon covers a much broader spectrum of activities and industries. This paper contributes to the debate on technology innovations and value chain in the real estate and construction sector, while adding a cross-country perspective.

Exploring user adaptation behaviors toward mobile technology: a higher education perspective

PurposeGrounded in coping model of user adaptation (CMUA), this research aims to provide insights into understanding the social mechanism influencing faculty’s adoption and adaptation of mobile technology (MT). An extensive review of the literature highlights a significant gap in empirical research regarding the adoption of MT and faculty adaptation when viewed through the lens of group dynamics.Design/methodology/approachThis study is based on an exploratory study conducted at two engineering universities in France. A qualitative method enabled a comprehensive examination of faculty members using multiple field-based observations and semi-directive interviews at both University A and University B.FindingsWhile extant research tends to prioritize individual-level approaches, the integration of MT within higher education inherently involves social dynamics. Our results reveal that faculty’s perceived control and their initial perception over adoption of MT play an important role in shaping their adaptation behavior. The findings suggest that the adoption of MT among faculty members is influenced by various organizational factors. Specifically, the organizational logic of adoption affects their primary appraisal of MT, while group norms and social influence shape their adaptation acts. Furthermore, the organization’s continuous commitment to supporting faculty members also impacts their coping activities, ultimately influencing their overall adoption and utilization of MT.Originality/valueThis study builds upon the limited yet growing body of literature on a theme highly relevant for practitioners, scholars as well as MT users in a higher education environment. The paper extends the CMUA by exploring the relationship between MT adoption and continuous user adaptation at both group and organizational levels. Our proposed framework assists universities in articulating their MT adoption and implementation strategy in harmony with a clear vision of their users’ adaptation activities before, during and after the implementation.

Berry pomace as a potential ingredient for plant‐based meat analogs

AbstractGiven the projected global population growth and the associated increase in demand for sustainable and nutritious food options, plant‐based meat analogs are increasingly popular. Berry pomace, a by‐product of the juice and wine industry, emerges as a promising ingredient for enhancing these products. This paper comprehensively explores the innovative use of berry pomace in the development of plant‐based meat analogs. It highlights key components such as antioxidants, natural colorants, dietary fibers, oils, and micronutrients, which significantly contribute to enhancing the nutritional profiles, sensory qualities, and shelf stability of these analogs. Methods for incorporating berry pomace into plant‐based meats, including direct addition and the addition of berry pomace extract using innovative technologies, such as high‐moisture extrusion, 3D printing and emulsion methods, are discussed. Moreover, the challenges of integrating berry pomace into plant‐based meats are critically analyzed, focusing on variability in pomace composition, potential sensory impact, and the technological adaptations required for optimal use in food production. The potential of berry pomace to enhance both the quality and appeal of plant‐based meats is highlighted, underscoring its significant contribution to the development of more sustainable food systems by valorizing food waste to high‐value products.

Performance analysis of MIMO FSO adaptive mode switching in Malaga turbulent channels with pointing error

MIMO FSO (Free Space Optical) systems can provide high data rates through spatial multiplexing or improve transmission reliability using spatial diversity, but atmospheric turbulence is a bottleneck that restricts communication performance. Adaptive transmission technology can effectively suppress the influence of turbulence and improve communication performance. In this paper, switching between spatial multiplexing and diversity is proposed as an adaptive transmission technology for MIMO links to improve the diversity performance of spatial multiplexing of FSO systems. The switching criterion is based on the Minimum Euclidean Distance (MED) of the spatial mapping scheme. The MED expressions for two spatial modes at the receiver are derived, and the bit error rate (BER) approximations are provided, respectively. We evaluate the BER performance of spatial multiplexing and spatial diversity schemes, respectively, taking into account the joint effects of turbulence strengths, pointing error and path loss. To choose the optimal adaptive switching strategy for the system in different signal-to-noise ratio (SNR) ranges, a lookup table for the adaptive switching statistical SNR threshold was created based on the BER curve corresponding to the minimal Euclidean distance. The results show that compared with fixed spatial mode systems, adaptive spatial mode switching systems can achieve significant BER performance gains. The Demmel condition number of matrix channels is considered to provide a sufficient condition for spatial multiplexing to be superior to spatial diversity.

Ensino remoto emergencial e saúde mental: desafios enfrentados por docentes universitários durante a Pandemia de Covid-19

This article aimed to investigate the impacts of emergency remote teaching on the mental health of university teachers in the context of the Covid-19 pandemic. An exploratory research was carried out through individual interviews guided by a script. Based on Bardin's content analysis, we sought to investigate the impacts of emergency remote teaching on mental health related to teaching practice, work and social context. In the discussions, we found that the following impacts were generated: the feeling of not being able to teach, difficulties in technological adaptation and little interaction with students, work overload, social isolation. And as consequences of these impacts, symptoms such as insecurity, fear, abandonment, lack of passion for work, demotivation, fear of the unknown, feeling of isolation, frustration and anguish, stress, feeling of anger, panic attack, depression, contamination of leisure time through the loss of the distinction between working hours and leisure time, decrease in physical activity, increase in alcohol consumption and also increase in family conflicts. The findings are in line with other studies and contribute to the discussion of the importance of considering psychosocial impacts in the processes of implementing new forms of teaching.