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2nd International Conference on computer, communication and Control, IC4 2024

作者： Tayubi, Iftikhar Aslam Pawar, Dilip N. Kiran, Ajmeera Reddy, Pundru Chandra Shaker Sharma, Nipun Chitra, D. King Abdulaziz University Faculty of Computing and Information Technology Rabigh Jeddah Saudi Arabia Bharati Vidyapeeth College of Engineering Instrumentation Engineering Maharashrra Navi Mumbai India Mlr Institute of Technology Dundigal Department of Computer Science and Engineering Telangana Hyderabad India Sr University School of Computer Science and Artificial Intelligence Telangana Warangal506371 India Presidency University Electronics and Communication Engineering Karnataka Bangalore India Panimalar Engineering College Master of Business Administration Tamil Nadu Chennai India

ISBN: (纸本)9798350387933

Facial-emotion-recognition(FER) is being conducted with the goals of analyzing the psychological characteristics of juvenile offenders and promoting the use of deep learning to the extraction of psychological features. Initially, we talk about how certain personality traits are linked to being good at reading facial expressions. To build a facial emotion identification model from this data, we add more convolutional layers to a CNN and combine it with other neural networks like VGGNet, AlexNet, and LeNet-5. Next, a Central-Local-Binary-Pattern(CLBP) method, which is optimized, is incorporated into the CNN to build a CNN-CLBP framework for FER. After face photos have been preprocessed and key parameters have been optimized, the algorithm is subjected to a validity study. The average detection rate for the CNN-CLBP is 88.16%, which is greater than the recognition rate for other approaches. In addition, image preparation and parameter tuning boost the recognition accuracy of this approach without resorting to poor-tting. In addition, the CNN-CLBP system accurately identifies 97% of pleased and startled expressions, but 22.54% of sad ones. The study's findings can be used as a starting point for further investigations into the mental health of teen offenders. © 2024 IEEE.

关键词： Local binary pattern

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A Comprehensive Analysis of Identifying Patients with Chronic Kidney Disease

A Comprehensive Analysis of Identifying Patients with Chroni...

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computer, communication and Control (IC4), International Conference on

作者： S. Geetha C. N. Marimuthu S. Maheswari B. Deepa Faculty of Information and Communication Engineering Anna University Chennai India Department of Electronics and Communication Engineering Nandha Engineering College Erode India Department of Computer Science and Engineering Nandha Engineering College Erode India

Chronic Kidney Disease (CKD) is a prevalent and progressive health condition affecting millions of individuals worldwide. Early identification and management of CKD are critical to mitigate its adverse effects on patients’ health and reduce the burden on healthcare systems. This study presents a comprehensive analysis of various methodologies and approaches for identifying patients with Chronic Kidney Disease. The research encompasses a detailed review of traditional and emerging diagnostic techniques, by exploring the sensitivity, specificity, and accuracy of these methods, considering their applicability in diverse patient populations and healthcare settings. Furthermore, this analysis delves into the role of artificial intelligence (AI) and machine learning in enhancing CKD detection and risk prediction. The synthesis of this comprehensive analysis provides valuable insights into the current landscape of CKD identification and offers recommendations for optimizing diagnostic strategies.

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A Polarization Reconfigurable Magneto-Electric Dipole Antenna for 2.2-2.7 GHz Band 7

A Polarization Reconfigurable Magneto-Electric Dipole Antenn...

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7th IEEE International Conference on Electronic Information and communication Technology, ICEICT 2024

作者： Zhou, Xuhang Feng, Botao Ding, Xiao Deng, Li Gu, Wenzhe Zeng, Qingsheng Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts Macau999078 China Beijing University of Posts and Telecommunications College of Information and Communication Engineering Beijing China Huizhou University School of Computer Science and Engineering Huizhou516007 China Nanjing University of Aeronautics and Astronautics College of Astronautics Nanjing210016 China

ISBN: (纸本)9798350384437

In this article, a polarization-reconfigurable antenna based on magneto-electric (ME) dipoles is proposed. This antenna has three polarized states: linear polarization (LP), right-hand circular polarization (RHCP), and left-hand circular polarization (LHCP), which are mainly achieved through the cross strips with a bridge structure on top of the ME dipole. By changing the on/off states of diodes D1 and D2, the connections of the cross strips can be altered, thereby changing the surface current on the horizontal patches to achieve polarization reconfiguration. The proposed antenna is fed through a microstrip line and an H-shaped slot. The selected operating frequency band is 2.2-2.7 GHz. In all states, the bandwidth and 3-dB axial ratio bandwidth cover the operating band, and the gain is greater than 7 dBi within the operating band. This indicates that the antenna achieves polarization reconfiguration while maintaining good overall performance. Moreover, the reconfiguration method using diodes is easy to manufacture, making its application in wireless communication systems feasible. © 2024 IEEE.

关键词： Bandwidth

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A Reconfigurable Reflectarray Antenna at X-band 7

A Reconfigurable Reflectarray Antenna at X-band

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7th IEEE International Conference on Electronic Information and communication Technology, ICEICT 2024

作者： Du, Lin Feng, Botao Ding, Xiao Deng, Li Gu, Wenzhe Zeng, Qingsheng Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts Macau999078 China Beijing University of Posts and Telecommunications College of Information and Communication Engineering Beijing China Huizhou University School of Computer Science and Engineering Huizhou516007 China Nanjing University of Aeronautics and Astronautics College of Astronautics Nanjing210016 China

ISBN: (纸本)9798350384437

In this paper, an electronically reconfigurable reflectarray antenna (RRA) that operates in X-band is developed and simulated. Two P-I-N diodes are integrated in each element to obtain 1-bit phase compensation. The proposed element offers a stable angular response and polarization rotation in X-band. The element is applied to a 19×19 RRA for achieving beam scanning. The simulated result of the proposed RRA shows that the proposed RRA can achievea beam scanning ranging from -30° to 30° and a peak gain of 18.12 dBi. © 2024 IEEE.

关键词： Reflection

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Design of a Forked Eander Slot Antenna Suitable for LTE 5G Frequency Band 7

Design of a Forked Eander Slot Antenna Suitable for LTE 5G F...

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7th IEEE International Conference on Electronic Information and communication Technology, ICEICT 2024

作者： Xiao, Gengbo Feng, Botao Ding, Xiao Deng, Li Gu, Wenzhe Zeng, Qingsheng Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts Macau999078 China Beijing University of Posts and Telecommunications College of Information and Communication Engineering Beijing China Huizhou University School of Computer Science and Engineering Huizhou516007 China Nanjing University of Aeronautics and Astronautics College of Astronautics Nanjing210016 China

ISBN: (纸本)9798350384437

In this paper, an improved design of a miniaturized, broadband, meander fork-shaped microstrip antenna (MFSMA) with a radiating patch is proposed. By folding the elongated patch, the bandwidth is widened, while also solving the problem of increased board size and higher manufacturing costs caused by an overly long patch. Adding the asymmetric patch to the ground plane causes the lower edge of the bandwidth to decrease. Utilizing the above characteristics, a miniaturized antenna model was designed. The measurement results of this antenna show acceptable radiation characteristics, with a bandwidth of 1.31 GHz - 3.74 GHz (96.24%) in the condition of VSWR © 2024 IEEE.

关键词： Slot antennas

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A Broadband Array Antenna Based on E-Shaped Folded Strip Elements for Millimeter-Wave N259/N260 Applications 7

A Broadband Array Antenna Based on E-Shaped Folded Strip Ele...

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7th IEEE International Conference on Electronic Information and communication Technology, ICEICT 2024

作者： Wu, Xi Feng, Botao Ding, Xiao Gu, Wenzhe Deng, Li Zeng, Qingsheng Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts Macau999078 China Huizhou University School of Computer Science and Engineering Huizhou516007 China Beijing University of Posts and Telecommunications College of Information and Communication Engineering Beijing China Nanjing University of Aeronautics and Astronautics College of Astronautics Nanjing210016 China

ISBN: (纸本)9798350384437

A low-profile, wideband linearly-polarization array antenna based on broadband E-shaped folded strip elements is proposed. The antenna unit consists of a 2×2 array of E-shaped folded strip elements and four metalized through-holes. The microstrip line, located on the underside of an extremely thin dielectric substrate, utilizes a cross-shaped slot for its coupled feeding mechanism. This configuration markedly enhances the compatibility with circuits at millimeter-wave frequencies and also offers the advantage of a low-profile design. The simulated performance of the antenna module shows an impedance bandwidth covering 71%, extending from 21.43 GHz to 45 GHz, along with a peak gain of 5.925 dBi. Moreover, it maintains a cross-polarization discrimination level that is greater than 25 dB. To demonstrate the wideband and high-gain characteristics, a 2 × 2 array of linearly polarized antennas has been crafted, featuring a straightforward microstrip feed system and eliminating the necessity for an extra enclosure made of dielectric material. The simulated data reveal commendable characteristics regarding impedance correlation, gain, and the patterns of radiation, rendering the array well-suited for deployment in millimeter-wave applications designated as N259 and N260. © 2024 IEEE.

关键词： Millimeter waves

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RDDM: A Rate-Distortion Guided Diffusion Model for Leaned Image Compression Enhancement

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IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2025年

作者： Jiang, Sanxin Katto, Jiro Sun, Heming Shanghai University of Electric Power Department of Information Engineering Shanghai China Waseda University Department of Computer Science and Communication Engineering Tokyo Japan Yokohama National University Faculty of Engineering Yokohama Japan

Currently, denoising diffusion probability models (DDPM) have achieved significant success in various image generation tasks, but their application in image compression, especially in the context of learned image compression (LIC), is quite limited. In this study, we introduce a rate-distortion (RD) guided diffusion model, referred to as RDDM, to enhance the performance of LIC. In RDDM, LIC is treated as a lossy codec function constrained by RD, dividing the input image into two parts through encoding and decoding operations: the reconstructed image and the residual image. The construction of RDDM is primarily based on two points. First, RDDM treats diffusion models as repositories of image structures and textures, built using extensive real-world datasets. Under the guidance of RD constraints, it extracts and utilizes the necessary structural and textural priors from these repositories to restore the input image. Second, RDDM employs a Bayesian network to progressively infer the input image based on the reconstructed image and its codec function. Additionally, our research reveals that RDDM’s performance declines when its codec function does not match the reconstructed image. However, using the highest bitrate codec function minimizes this performance drop. The resulting model is referred to as RDDM*. The experimental results indicate that both RDDM and RDDM* can be applied to various architectures of LICs, such as CNN, Transformer, and their hybrid. They can significantly improve the fidelity of these codecs while maintaining or even enhancing perceptual quality to some extent. © 2011 IEEE.

关键词： Image denoising

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A DATA LITERACY COMPETENCE MODEL FOR HIGHER EDUCATION AND RESEARCH

arXiv

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arXiv 2025年

作者： Echtenbruck, Martina M. Fühles-Ubach, Simone Naujoks, Boris Kaliva, Elisabeth Faculty of Information and communication sciences Institute for Information Science TH Köln Germany Faculty of Computer Science and Engineering Institute for Data Science Engineering and Analytics TH Köln Germany TH Köln Germany

In an increasingly data-driven world, the ability to understand, interpret, and use data - data literacy - is emerging as a critical competence across all academic disciplines. The Data Literacy Initiative (DaLI) at TH Köln addresses this need by developing a comprehensive competence model for promoting data literacy in higher education. Based on interdisciplinary collaboration and empirical research, the DaLI model defines seven overarching competence areas: "Establish Data Culture", "Provide Data", "Manage Data", "Analyze Data", "Evaluate Data", "Interpret Data", and "Publish Data". Each area is further detailed by specific competence dimensions and progression levels, providing a structured framework for curriculum design, teaching, and assessment. Intended for use across disciplines, the model supports the strategic integration of data literacy into university programs. By providing a common language and orientation for educators and institutions, the DaLI model contributes to the broader goal of preparing students to navigate and shape a data-informed society. © 2025, CC BY-NC-SA.

关键词： Teaching

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A Novel Soft Clustering Approach for Gene Expression Data

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computer Systems science & engineering 2022年第12期43卷 871-886页

作者： E.Kavitha R.Tamilarasan Arunadevi Baladhandapani M.K.Jayanthi Kannan A Constituent College of Anna University University College of EngineeringVillupuram605103India A Constituent College of Anna University University College of EngineeringPattukkottai614701India Department of Electronics and Communication Engineering Dr.N.G.P Institute of TechnologyCoimbatore641048India Department of Computer Science Engineering Faculty of Engineering and TechnologyJAIN(Deemed to be University)Bangalore562112India

Gene expression data represents a condition matrix where each rowrepresents the gene and the column shows the condition. Micro array used todetect gene expression in lab for thousands of gene at a time. Genes encode proteins which in turn will dictate the cell function. The production of messengerRNA along with processing the same are the two main stages involved in the process of gene expression. The biological networks complexity added with thevolume of data containing imprecision and outliers increases the challenges indealing with them. Clustering methods are hence essential to identify the patternspresent in massive gene data. Many techniques involve hierarchical, partitioning,grid based, density based, model based and soft clustering approaches for dealingwith the gene expression data. Understanding the gene regulation and other usefulinformation from this data can be possible only through effective clustering algorithms. Though many methods are discussed in the literature, we concentrate onproviding a soft clustering approach for analyzing the gene expression data. Thepopulation elements are grouped based on the fuzziness principle and a degree ofmembership is assigned to all the elements. An improved Fuzzy clustering byLocal Approximation of Memberships (FLAME) is proposed in this workwhich overcomes the limitations of the other approaches while dealing with thenon-linear relationships and provide better segregation of biological functions.

关键词： Reinforcement membership centroid threshold statistics bioinformatics gene expression data

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An Empirical Study of Unanswered Python-Related Questions on Stack Overflow

An Empirical Study of Unanswered Python-Related Questions on...

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Information Technology Research and Innovation (ICITRI), International Conference on

作者： Yusuf Sulistyo Nugroho Salsabil Aisyah Abdul Halim Syful Islam Yogiek Indra Kurniawan Tati Erlina Informatics Engineering Faculty of Communication and Informatics Universitas Muhammadiyah Surakarta Surakarta Indonesia Computer Science and Engineering Faculty of Engineering BSMRSTU Gopalganj Bangladesh Informatics Engineering Faculty of Engineering Universitas Jenderal Soedirman Purwokerto Indonesia Computer Engineering Faculty of Information Technology Universitas Andalas Padang Indonesia

ISBN: (数字)9798350376210

ISBN: (纸本)9798350376227

As a high-level programming language, Python supports user-friendly coding and system integration. It is not only used for data analytics but is also applied in software development. Although it has several benefits, users have various issues while running Python code. When programmers face issues, they often use Stack Overflow (SO) to get assistance for their problems. However, many Pythonrelated questions on SO are not responded to and remain unanswered. Thus, in this paper, we analyzed these unanswered questions to identify potential weaknesses of user and discussion characteristics. We applied a mixed-methods approach, including quantitative and qualitative analysis of user reputation, question types, and discussion topics. Our analysis shows that unanswered questions are mostly from low-reputation users ($\mathbf{7 2. 5 2 \%}$), followed by mid-reputation users $(\mathbf{1 7. 9 3 \%}$), and high-reputation users $\mathbf{(9. 5 5 \%)}$. The distribution of the unanswered question types shows that low-reputation users ask more “how” type of question ($\mathbf{3 8. 9 0 \%}$) followed by mid and high-reputation users. In contrast, the “what” and “why” questions are mostly posted by high-reputation users, followed by mid and low-reputation users. Our word-cloud analysis suggests a correlation between user reputation and the question topics. We acknowledge that there are limitations in our study, include potential misclassifications due to the time of posting and biases in manual labeling, which may affect the accuracy of our findings. This study provides insights into unanswered questions posted by the community, open up potential areas for future work such as improving support mechanisms and community engagement.

关键词： Technological innovation Information sharing System integration Manuals Encoding Labeling Information technology Faces Python Software development management

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