Coding Techniques Research Articles

Deep-learning-assisted composite polarized fringe projection profilometry for three-dimensional measurement of high-dynamic-range objects

The presence of highlights on the surfaces of high-dynamic-range objects poses significant challenges to their three-dimensional measurement. Achieving fast and high-precision reconstruction of high-dynamic-range objects has become a primary research focus in the field of optical measurement. Although the polarization coding technique can effectively mitigate the influence of highlights, it also introduces increased nonlinear errors and reduces the signal-to-noise ratio. To address these issues, we propose a deep-learning-assisted composite polarization fringe projection profile measurement method for the three-dimensional measurement of high-dynamic-range objects. This method combines data-driven deep learning techniques with physical-model-based polarization coding to eliminate highlights, reduce nonlinear errors, and mitigate the reduction in signal-to-noise ratio. Experimental validation across various scenes and different methods of highlight removal demonstrates that our proposed method significantly improves both measurement efficiency and accuracy compared to traditional physical models.

Public perceptions of nature-based coastal solutions in the UK

Coastal scientists are increasingly advocating for nature-based coastal solutions (NBCS) to ensure long-term coastal sustainability. Implementing NBCS will change coastal landscapes, necessitating consultation with the wider public as such changes directly affect the socio-cultural values of coastal zone residents and users. We, therefore, investigate public willingness to support, preferences for, and perceived effectiveness of coastal management solutions, nature-based and otherwise, focusing on the UK as a case study. We do this through an online survey of >500 UK residents, capturing their demographics, place of residence, and coastal management perceptions. We apply inductive coding, statistical, and geospatial techniques to analyse our survey data. While we find consensus on the need for coastal management, there are divergent coastal management preferences and perceptions: NBCS are most preferred while hard defences are considered most effective. We find that people with coastal management and/or engineering experience are more convinced by NBCS effectiveness, while coastal residents believe in hard defences. Although NBCS may have several environmental benefits (e.g., coastal protection, carbon sequestration, greater biodiversity), we find that public knowledge on their likely effectiveness is limited. Therefore, if NBCS is deemed to be the way forward for coastal sustainability, more local stakeholder engagement on NBCS will be needed, potentially through systems mapping, in order to facilitate more robust and inclusive coastal management policies.

Chromatic Aberration in Wavefront Coding Imaging with Trefoil Phase Mask

The refractive index of the lenses used in optical designs varies with wavelength, causing light rays to fail when focusing on a single plane. This phenomenon is known as chromatic aberration (CA), chromatic distortion, or color fringing, among other terms. Images affected by CA display colored halos and experience a loss of resolution. Fully achromatic systems can be achieved through complex and costly lens designs and/or computationally when digital sensors capture the image. In this work, we propose using the wavefront coding (WFC) technique with a trefoil-shaped phase modulation plate in the optical system to effectively increase the resolution of images affected by longitudinal chromatic aberration (LCA), significantly simplifying the optical design and reducing costs. Experimental results with three LEDs simulating RGB images verify that WFC with trefoil phase plates effectively corrects longitudinal chromatic aberration. Transverse chromatic aberration (TCA) is corrected computationally. Furthermore, we demonstrate that the optical system maintains depth of focus (DoF) for color images.

Spatial Marginalization of Emotional Support: Understanding Public Response to Animals on Airplanes

In early 2020, the U.S. Department of Transportation announced a revision to its Air Carrier Access Act to exclude emotional support animals (ESAs) from “service animal” designation. These animals are not considered trainable: They are unable to perform a service, under the legal regulation. We examine commentary on newspaper articles regarding ESAs on airplanes using qualitative coding and data science techniques to assemble narratives dictating attitudes toward ESAs. We identify three narratives within the discourse that dispute the validity of emotional impairment and ESAs and express mistrust and disdain of those claiming a need for ESA companion. Working at the intersection of critical animal and disability geographies, we show how a neoliberal exclusionary discourse on ESAs is driven by an underlying essentializing distinction between debility and health, and the framing of mental and emotional impairment in terms of an individual’s personal responsibility for their health. Moreover, the popular and legal discourse on ESAs creates a sharp distinction in what kind of relationships we can have with animals in particular places. In challenge to these ableist and speciesist discourses, we articulate interspecies interdependence that reframes ESAs as not just furry (or scaly) entitlements, but as guides to a spatial ethic that challenges curative approaches to mental health and promotes a fluid notion of the place of animals and interdependent relationships with them.

Enhancing digital literacy in primary education through augmented reality

Currently, there is a need to develop digital competencies already because they are included in the new curriculum. This article explores the field of augmented reality (AR) and its educational potential to bolster digital literacy in primary education. The core objective is to scrutinize the suitable use of AR-integrated mobile applications in primary schooling, spotlighting widely adopted apps and their practical applications. The article underscores digital literacy as a key competence for children’s self-directed future learning. In our research we used a combination of qualitative and quantitative research approaches. It seeks to identify the impacts and benefits of AR in primary school settings. In a natural didactic context, it is conducted as action research. The methodology includes direct observation of pupils engaging with the AR app Quiver during educational tasks, complemented by discussions with their teacher as a focus group. Additionally, the study gathers insights from parents via questionnaires based on their perceptions of AR in education. The analysis of the interview data utilizes the open coding technique to interpret the findings. The relevance of the research was confirmed by the consistency of results when transitioning from onsite to online learning environments. The study showed that AR engagement helped to increase the digital literacy of the participating pupils, showing high levels of engagement, motivation and collaborative communication.

Post-COVID cognitive impairments: targets of neuropsychological rehabilitation

BACKGROUND: At the moment, a large number of scientific studies are devoted to the topic of post-COVID cognitive disorders, as well as to the study of the neurological and psychiatric consequences of COVID-19. However, the issues of describing the cognitive profile that is pathognomonic for a post-COVID patient, as well as the treatment and neurocorrection of emerging disorders are considered extremely rarely. AIM: The aim of this study is to compile a cognitive profile of a post-COVID patient and identify targets for neuropsychological rehabilitation. MATERIALS AND METHODS: A complete neuropsychological examination was carried out on 50 patients who had suffered moderate or mild COVID-19 no more than six months ago from the time of research. Used: MoCA test, clock drawing test, verbal association technique, FAB, G. Head test, test for understanding comparative constructions, “barrel and box” test, symbol-numeric coding test, asthenia rating scale (MFI-20), Hospital scale anxiety and depression. RESULTS: According to the results of screening scales, patients scored borderline between normal and mild (subjective) cognitive decline. No impairments in operational auditory-verbal and visual memory were detected. Low performance in the symbolic-numeric coding technique was revealed, combined with a deterioration in the understanding of logical-grammatical structures. These same scales have a direct correlation with the general level of cognitive integrity. High rates of anxiety and asthenia and low rates of depression were revealed. CONCLUSIONS: This cohort of patients was found to have mild cognitive deficits. A decrease in neurodynamic parameters and a violation of quasi-spatial concepts come to the fore. There are high rates of anxiety and asthenia with the leading mental component of asthenia, against the background of preserved motivation and low rates of depression. The targets of neurocorrection for these patients are: stability of attention, fluency of speech, speed of thinking, quasi-spatial concepts.

Computational Algebra, Coding Theory, and Cryptography: Theory and Applications

The primary aim of this Special Issue is to explore innovative encoding and decoding procedures that leverage various algebraic structures to enhance error-control coding techniques [...]

An Analysis of the English Textbook “Bright” Used for the Ninth Grade of MTSN 6 Agam

This research analyzed the English textbook "Bright" used for ninth grade students at MTsN 6 Agam. This study aims to assess how well the textbook is in accordance with the appropriateness of content based on the 2013 curriculum from the National Education Standardization Agency (BSNP). The method used in this research is qualitative content analysis to assess the appropriateness of the English textbook "Bright" used for ninth-grade students at MTsN 6 Agam. Especially focused on comprehensively analyzing the content of the textbook based on standards set by the Education National Standardization Board (BSNP). Data were gathered from the entirety of the "Bright" textbook, supplemented by documentation notes with an English teacher. The researcher served as the primary instrument, ensuring methodological rigor and transparency throughout the study. The analysis involved coding and reduction techniques to identify patterns and themes related to content appropriateness. Findings from the research aimed to provide insights for English teachers, students, textbook writers, and future researchers. The study contributed to the understanding of how well the "Bright" textbook aligned with educational standards and offered recommendations for improving English teaching materials. The research findings indicated that the English textbook "Bright" used at MTsN 6 Agam aligned well with the objectives and curriculum set by BSNP. Data analysis from documentation notes with teachers showed that the textbook generally met the criteria for content appropriateness. While there were minor shortcomings in its ability to supplement other subjects, the "Bright" textbook was deemed relevant, accurate, and inspiring for students. Overall, the textbook portrayed national themes that strengthened pride and appreciation for the nation's culture. This conclusion provides valuable insights for curriculum developers, affirming the suitability of the "Bright" textbook for teaching English at MTsN 6 Agam and advocating for continuous improvement in English education in Indonesia.

Calcium vacancy enhanced self-reduction of Ce4+ for single-phase full-spectrum lighting and information encryption

Due to the wide and adjustable emission range, Ce3+ is an indispensable luminous center for full spectrum lighting. However, it needs to be sintered at high temperature in a reducing atmosphere, resulting in difficulty to coexisting with other multivalent activated ions (such as Eu3+, Tm3+), which greatly hinders the formation of full spectrum. In this study, a calcium vacancy enhanced self-reduction of Ce4+ is realized in CaNaSb2O6F (CNSOF) host under air atmosphere sintering, through which Ce3+, Tm3+ and Eu3+ coexisting in a single-phase full spectrum phosphor was prepared. Notably, the artificial introduction of a calcium vacancy was designed to verify this self-reduction mechanism. Moreover, the energy transfer kinetics among Tm3+, Ce3+ and Eu3+ were explored. Finally, combined with a 340 nm UV chip, a full spectrum phosphor-converted light-emitting diode (pc-LED) was fabricated, showing a broad emission range from 400 to 750 nm, Commission Internationale de I’Eclairage (CIE) of (0.3485, 0.3673), Ra of 92 and correlated color temperature (CCT) of 4933 K. Utilizing the variation in emission colors of this phosphor under different UV wavelengths, a dual encryption method combining point character code and fluorescent encryption technique is proposed. This work provides an effective path for Ce4+ self-reduction to apply in full spectrum pc-LED and information encryption.

A Gray Scale Image Compression Using Hierarchical DWT Decomposition and Mixing Quantization Techniques

This paper describes a hybrid grayscale compression system based on the discrete wavelet transform (DWT) and a polynomial coding technique for mixing quantization schemes to increase the compression ratio while maintaining quality. The proposed compression system consists of three main steps: first, decomposing an image using a three-level DWT; second, applying the 2-D linear polynomial coding technique to the approximation sub-band; and third, dividing the detailed sub-bands of each level into the Most Significant Value (MSV) and Least Significant Value (LSV), where the former is compressed using iterative scalar uniform quantization and the latter by soft quantization thresholding. For testing the performance of the suggested compression system, five standard images of size 256×256 pixels were adopted. The suggested technique showed superior performance in terms of reconstructed (decoded) image quality and compression ratio (gain), where the compression ratio is between 21–27 with a PSNR value between 36–38 dB and the compression ratio of JPEG is between 7–20 with a PSNR value between 33–37 dB.

A Comparative Study on Fault-Tolerant Coding Techniques in RAID6 Analyzing the Efficiency and Limitation of EVENODD and RDP Codes

With the development of computer science, the application of information storage in various fields such as business, military, gaming, and more has been playing a important role in our day-to-day life. This paper provides a systematic analysis of the current academic literature on data storage, offering an overview of RAID storage technology. It discusses the historical development of RAID technology, including real-world application examples, and highlights some researchers’ innovative upgrades to the technology. The paper elucidates the details and applications of the EVENODD and RDP algorithms, which are closely related to RAID technology, and analyzes the error correction performance of these two algorithms in scenarios where only a single device fails, supported by relevant calculations. The analysis concludes that the RDP algorithm has an advantage in recovering from single device failures when comparing EVENODD and RDP. Finally, the future prospects and some new application scenarios of RAID data storage technology are discussed.

A Deep Unfolding Network for Multispectral and Hyperspectral Image Fusion

Multispectral and hyperspectral image fusion (MS/HS fusion) aims to generate a high-resolution hyperspectral (HRHS) image by fusing a high-resolution multispectral (HRMS) and a low-resolution hyperspectral (LRHS) images. The deep unfolding-based MS/HS fusion method is a representative deep learning paradigm due to its excellent performance and sufficient interpretability. However, existing deep unfolding-based MS/HS fusion methods only rely on a fixed linear degradation model, which focuses on modeling the relationships between HRHS and HRMS, as well as HRHS and LRHS. In this paper, we break free from this observation model framework and propose a new observation model. Firstly, the proposed observation model is built based on the convolutional sparse coding (CSC) technique, and then a proximal gradient algorithm is designed to solve this model. Secondly, we unfold the iterative algorithm into a deep network, dubbed as MHF-CSCNet, where the proximal operators are learned using convolutional neural networks. Finally, all trainable parameters can be automatically learned end-to-end from the training pairs. Experimental evaluations conducted on various benchmark datasets demonstrate the superiority of our method both quantitatively and qualitatively compared to other state-of-the-art methods.

Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation.

This work is inspired by high-definition (HD) image generation techniques. When the user's interests are viewed as different frames of varying clarity, the unclear parts of one interest frame can be clarified by other interest frames. The user's overall HD interest portrait can be viewed as a fusion of multiple interest frames through detail compensation. Based on this inspiration, we propose a model for generating HD interest portrait called interest frame for recommendation (IF4Rec). First, we present a fine-grained pixel-level user interest mining method, Pixel embedding (PE) uses positional coding techniques to mine atomic-level interest pixel matrices in multiple dimensions, such as time, space, and frequency. Then, using an atomic-level interest pixel matrix, we propose Item2Frame to generate several interest frames for a user. The similarity score of each item is calculated to fill the multi-interest pixel clusters, through an improved self-attention mechanism. Finally, stimulated by HD image generation techniques, we initially present an interest frame noise compensation method. By utilizing the multihead attention mechanism, pixel-level optimization and noise complementation are performed between multi-interest frames, and an HD interest portrait is achieved. Experiments show that our model mines users' interests well. On five publicly available datasets, our model outperforms the baselines.

Describing the Ephemeral: Facilitating Rich Search Experiences with Performing Arts Video Collections

ABSTRACTDigital video collections of dance, theatre, and other performances can provide unprecedented access to these ephemeral art forms. Making these collections searchable requires understanding of users' needs, necessitating collaboration among subject matter, metadata, and information behavior experts. Focusing on the example of Circus Oz, a prominent Australian circus company, this paper describes an exploratory, user‐centered process that draws on qualitative thematic coding techniques to create descriptive metadata schema. This iterative process illustrates the extensive labor involved, and the combination of expertise required, to create schema that extend beyond technical and basic categories to support rich search and discovery of cultural data collections.

The Contemporary Career Theory as a Lens for Understanding the Internationalization of Business Schools Students

This article starts from gaps found in the literature on international students. The literature points out that we need studies on the subject that: bring different student profiles to explain their internationalization; explain, beyond mere description, the factors that motivate students to internationalize their studies and careers; and that they are conducted based on a guiding theory. In order to identify the main motivators of students for the internationalization of their careers, and to bring a theoretical view pointed out by the international education literature as necessary, we conducted a qualitative research by triangulating information from the literature on student internationalization, from the precepts of contemporary career theory, and interviews with students from an internationally accredited business school, to argue that the internationalization of these students is strongly stimulated by the peculiarities of the contemporary career they want for their lives. We used the content analysis technique as the main method of data analysis, with the support of the systematic coding technique to define our categories of analysis. Through this methodological design, we identified three main precepts of the theory that help explain student internationalization: (i) desire to expand their networks and broaden their cultural knowledge; (ii) search for greater autonomy of decision and professional alternatives; (iii) development of their soft skills and ability to solve complex problems. With these results we make contributions to the research topic, for students and for business schools.

Unearthing Vulnerability and Resilience of Novice EFL Teachers in Shaping Their Professional Identity

This study explored the experiences of novice English as a Foreign Language (EFL) teachers in both formal education (FE) and non-formal education (NFE) settings, with a focus on professional identity development. It examined how these experiences contribute to the formation of their professional identity with the research question: What is the impact of vulnerability and resilience on the professional identity development of novice EFL teachers in both FE and NFE settings? This qualitative research adopted a descriptive narrative approach. Data collection was through interviews and literature review. The data collected was analysed through the use of coding and triangulation techniques. Four novice EFL teachers, two of the FE teachers and two of the NFE teachers were selected to participate in this research. The findings identified four impacts of vulnerability and resilience on professional identity development of novice EFL teachers; 1) self awareness, 2) adabtability to challenges, 3) institutional support, and 4) professional commitment.

Multidimensional Approach to Curriculum Transformationin Increasing Multicultural Appreciation

The need for curriculum transformation in Indonesia to support multicultural education is increasingly evident. This study focuses on how a multidimensional approach to curriculum transformation can effectively enhance students' appreciation of multiculturalism. This approach fosters tolerance and respect for cultural, ethnic, and religious diversity. This study used qualitative methods. Data were collected through in-depth interviews and documentation. Data analysis using thematic coding and triangulation techniques to ensure data validity, consistency, and reliability of findings. Curriculum transformation at State Junior High School I Medan integrates cognitive, affective, psychomotor, and socio-cultural dimensions to foster multicultural appreciation. Key changes include shifting the curriculum's focus from academic achievement to developing tolerance and respect for cultural diversity. Teaching materials now incorporate multicultural perspectives, and project-based participatory learning methods actively engage students in cultural activities. Classrooms are organized to promote gender and religious balance, and assessments are more holistic, evaluating students' academic performance and involvement in multicultural activities. This transformation creates a more inclusive and culturally responsive educational environment, helping students develop the academic and socio-emotional skills needed to live in a diverse society. This approach prepares students to be more tolerant and inclusive, positively impacting their interactions in an increasingly globalized world. This research provides valuable insights for educators and policymakers on increasing multicultural appreciation among students.

Solution-Processed CsPbBr3 Perovskite Photodetectors for Cost-Efficient Underwater Wireless Optical Communication System.

Underwater wireless optical communication (UWOC) has attracted increasing attention due to its advantages in bandwidth, latency, interference resistance, and security. Photodetectors, as a crucial part of receivers, have been continuously developed with the great progress that has been made in advanced materials. Metal halide perovskites emerging as promising optoelectronic materials in the past decade have been used to fabricate various high-performance photodetectors. In this work, high-performance CsPbBr3 perovskite PDs were realized via solution process, with low noise, a high responsivity, and a fast response. Based on these perovskite PDs, a cost-efficient UWOC system was successfully demonstrated on an FPGA platform, achieving a data rate of 6.25 Mbps with a low bit error rate of 0.36%. Due to lower background noise under environment illumination, perovskite PDs exhibit better communication stability before reaching a data rate threshold; however, the BER increases rapidly due to the long fall time, resulting in difficulty in distinguishing switching signals. Reducing the fall time of perovskite PDs and using advanced coding techniques can help to further improve the performance of the UWOC system based on perovskite PDs. This work not only demonstrates the potential of perovskite PDs in the application of UWOC, but also improves the development of a cost-effective UWOC system based on FPGAs.

Improved multi-focus image fusion using online convolutional sparse coding based on sample-dependent dictionary

Multi-focus image fusion merges multiple images captured from different focused regions of a scene to create a fully-focused image. Convolutional sparse coding (CSC) methods are commonly employed for accurate extraction of focused regions, but they often disregard computational costs. To overcome this, an online convolutional sparse coding (OCSC) technique was introduced, but its performance is still limited by the number of filters used, affecting overall performance negatively. To address these limitations, a novel approach called Sample-Dependent Dictionary-based Online Convolutional Sparse Coding (SCSC) was proposed. SCSC enables the utilization of additional filters while maintaining low time and space complexity for processing high-dimensional or large data. Leveraging the computational efficiency and effective global feature extraction of SCSC, we propose a novel method for multi-focus image fusion. Our method involves a two-layer decomposition of each source image, yielding a base layer capturing the predominant features and a detail layer containing finer details. The amalgamation of the fused base and detail layers culminates in the reconstruction of the final image. The proposed method significantly mitigates artifacts, preserves fine details at the focus boundary, and demonstrates notable enhancements in both visual quality and objective evaluation of multi-focus image fusion.

CREATIVE AND INNOVATIVE TEACHER'S ATTITUDE IN DEVELOPING THE CREATIVITY OF KINDERGARTEN CHILDREN AT TK DHARMA PUTRA DENPASAR

Integrating character education into the early childhood curriculum is becoming increasingly important in the modern era, mainly to ensure the balanced development of children physically, emotionally, and intellectually. At Dharma Putra Denpasar Kindergarten, dance is used as a medium to teach character values, but the effectiveness of this approach has yet to be widely studied. This research aims to determine the efficacy of integrating character education through dance at Dharma Putra Denpasar Kindergarten in supporting holistic child development. Data was collected through direct observation, in-depth interviews with teachers, and analytical documentation related to learning plans and student projects. The validity and reliability of research results are maintained through data triangulation and member checks. The data obtained were explained inductively using open, axial, and frequency coding techniques. The research results show that using dance as a medium for character education at the Dharma Putra Denpasar Kindergarten effectively balances children's physical, emotional, and intellectual development. These findings are essential in maintaining a balance between technological progress and preserving local wisdom in education, as well as providing a reference for future curriculum development that emphasizes cultural identity and character formation from an early age.