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HEP-DHMI: The High Efficiency and Payload Data Hiding Scheme for AMBTC Compressed Medical Images

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IEEE Access 2025年

作者： Lin, Chia-Chen Chu, En-Ting Lin, Iuon-Chang Kumar, Rajeev National Chin-Yi University of Technology Department of Information Computer Science and Information Engineering No.57 Sec. 2 Zhongshan Rd. Taiping Dist Taichung411030 Taiwan National Chin-Yi University of Technology Prospective Technology of Electrical Engineering and Computer Science No.57 Sec. 2 Zhongshan Rd. Taiping Dist Taichung411030 Taiwan National Chung Hsing University Department of Management Information Systems 145 Xingda Road South Dist Taichung City402 Taiwan Delhi Technological University Department of Computer Science and Engineering Delhi India

Current AMBTC-based data hiding schemes generally exhibit strong performance with general images, but their effectiveness varies significantly when applied to medical images in terms of hiding capacity, stego image quality, and efficiency. Moreover, maintaining structural similarity between the original and reconstructed images remains challenging due to the lossy nature of AMBTC compression. Given the increasing adoption of telemedicine applications, especially in the wake of Covid-19, where Internet infrastructure varies across regions, AMBTC's efficiency and ease of implementation make it well-suited for such applications. To enhance hiding capacity while preserving image quality and structural similarity, we propose a high-efficiency, high-payload data hiding scheme tailored for AMBTC-based medical images, termed HEP-DHMI. This approach involves classifying AMBTC compressed blocks into four types—flat, smooth, moderate, and complex—and designing distinct data hiding strategies for each block type. Experimental results validate that HEP-DHMI achieves an average PSNR of 34.25 dB, a payload capacity of 245,788 bits, an efficiency rating of 45.22, and an M-SSIM of 0.98 when evaluated on images selected from two prominent databases: Covid-19 and Brain Tumor MRI. These results demonstrate superior performance compared to existing schemes. © 2013 IEEE.

关键词： Image coding

Dynamics of social balance on networks: The emergence of multipolar societies

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arXiv 2021年

作者： Manshour, Pouya Montakhab, Afshin Physics Department Persian Gulf University Bushehr75169 Iran Department of Complex Systems Institute of Computer Science of the Czech Academy of Sciences Pod Vodárenskou věží 2 Prague 8182 07 Czech Republic Physics Department Shiraz University Shiraz71454 Iran

Within the context of social balance theory, much attention has been paid to the attainment and stability of unipolar or bipolar societies. However, multipolar societies are commonplace in the real world, despite the fact that the mechanism of their emergence is much less explored. Here, we investigate the evolution of a society of interacting agents with friendly (positive) and enmity (negative) relations into a final stable multipolar state. Triads are assigned energy according to the degree of tension they impose on the network. Agents update their connections in order to decrease the total energy (tension) of the system, on average. Our approach is to consider a variable energy ϵ ∈ [0, 1] for triads which are entirely made of negative relations. We show that the final state of the system depends on the initial density of the friendly links ρ0. For initial densities greater than an o dependent threshold ρc0(ϵ) unipolar (paradise) state is reached. However, for ρ0≤ ρc0(ϵ) multi-polar and bipolar states can emerge. We observe that the number of stable final poles increases with decreasing o where the first transition from bipolar to multipolar society occurs at ϵ∗ ≈ 0.67. We end the paper by providing a mean-field calculation that provides an estimate for the critical (o dependent) initial positive link density, which is consistent with our simulations. Copyright © 2021, The Authors. All rights reserved.

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Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model

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Technological Forecasting and Social Change 2023年 194卷

作者： Deveci, Muhammet Pamucar, Dragan Gokasar, Ilgin Zaidan, Bilal Bahaa Martinez, Luis Pedrycz, Witold Department of Industrial Engineering Turkish Naval Academy National Defence University Istanbul Tuzla34940 Turkey Royal School of Mines Imperial College London LondonSW7 2AZ United Kingdom Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade11000 Serbia Department of Civil Engineering Bogazici University Istanbul Bebek34342 Turkey International Graduate School of Artificial Intelligence College of Management National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliu City64002 Taiwan Department of Computer Sciences University of Jaén Jaén23071 Spain Department of Electrical and Computer Engineering Faculty of Engineering University of Alberta 9211 116 Street NW EdmontonABT6G 1H9 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Faculty of Engineering and Natural Sciences Department of Computer Engineering Istinye University Sariyer/Istanbul Turkey College of Engineering Yuan Ze University Taiwan

Current trends point to a not-too-distant future with qualitatively advanced interactions between humans and social robots. It is critical to consider the possibility of forming meaningful social relationships with robots when defining the future of human-robot interactions, as well as studying how these interactions will evolve to the point where humans are unable to distinguish between humans and robots in urban transportation. In this study, the advantages of using social robots in urban transportation are prioritized by using a multi-criteria decision-making tool, which consists of two consecutive stages, namely: i) a novel fuzzy sine trigonometry based on the logarithmic method of additive weights (fuzzy ST-LMAW) that is proposed to calculate the criteria weights;ii) a nonlinear fuzzy Aczel-Alsina function based the weighted aggregate sum product assessment (fuzzy ALWAS-WASPAS) that is developed to select and rank the alternatives. The proposed model enables flexible nonlinear processing of complex and uncertain information encountered in real applications. A case study is developed to rank three alternatives with twelve sub-criteria grouped into four aspects using the proposed method. The results show that the most advantageous alternative is to replace people with social robots as safety drivers in level four autonomous vehicles due to their possible impact on transportation. © 2023 The Authors

关键词： Human robot interaction

Parallel Distance: A New Paradigm of Measurement for Parallel Driving

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1169-1178页

作者： Teng Liu Hong Wang Bin Tian Yunfeng Ai Long Chen the Vehicle Intelligence Pioneers Inc. Qingdao 266109 the Department of Automotive Engineering Chongqing UniversityChongqing 400044China the Mechanical and Mechatronics Engineering Department Waterloo UniversityN2L 3G1Canada the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China the School of Data and Computer Science Sun Yat-sen UniversityGuangzhou 510006China

In this paper, a new paradigm named parallel distance is presented to measure the data information in parallel driving system. As an example, the core variables in the parallel driving system are measured and evaluated in the parallel distance framework. First, the parallel driving 3.0 system included control and management platform, intelligent vehicle platform and remote-control platform is introduced. Then,Markov chain(MC) is utilized to model the transition probability matrix of control commands in these systems. Furthermore, to distinguish the control variables in artificial and physical driving conditions, different distance calculation methods are enumerated to specify the differences between the virtual and real signals. By doing this, the real system can be guided and the virtual system can be im-proved. Finally, simulation results exhibit the merits and multiple applications of the proposed parallel distance framework.

关键词： Artificial and physical system parallel distance parallel driving 3.0 parallel system rotational and accelerator signal

Protein Data Bank Japan: Computational Resources for Analysis of Protein Structures

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Journal of Molecular Biology 2025年第15期437卷 169013页

作者： Bekker, Gert-Jan Nagao, Chioko Shirota, Matsuyuki Nakamura, Tsukasa Katayama, Toshiaki Kihara, Daisuke Kinoshita, Kengo Kurisu, Genji Institute for Protein Research Osaka University 3-2 Yamadaoka Osaka Suita 565-0871 Japan Tohoku Medical Megabank Organization Tohoku University Miyagi Sendai 980-8573 Japan Advanced Research Center for Innovations in Next-Generation Medicine Tohoku University Miyagi Sendai 980-8573 Japan of Information Sciences Tohoku University Miyagi Sendai 980-8579 Japan Department of Biological Sciences Purdue University West Lafayette 47907 IN United States Structural Biology Research Center Institute of Material Structure Science High Energy Accelerator Research Organization 1-1 Oho Ibaraki Tsukuba 305-0801 Japan Database Center for Life Science Joint Support-Center for Data Science Research Research Organization of Information and Systems Chiba Kashiwa 277-0871 Japan Department of Computer Science Purdue University West Lafayette 47907 IN United States Protein Research Foundation Ina 4-1-2 Osaka Minoh 562-8686 Japan

Protein Data Bank Japan (PDBj, https://***/) is the Asian hub of three-dimensional macromolecular structure data, and a founding member of the worldwide Protein Data Bank. We have accepted, processed, and distributed experimentally determined biological macromolecular structures for over two decades. Although we collaborate with RCSB PDB and BMRB in the United States, PDBe and EMDB in Europe and recently PDBc in China for our data-in activities, we have developed our own unique services and tools for searching, exploring, visualizing, and analyzing protein structures. We have also developed novel archives for computational data and raw crystal diffraction images. Recently, we introduced the Sequence Navigator Pro service to explore proteins using experimental and computational approaches, which enables experimental structural biologists to increase their insight to help them to design their experimental studies more efficiently. In addition, we also introduced a new UniProt-integrated portal to provide users with a quick overview of their target protein and it shows a recommended structure and integrates data from various internal and external resources. With these new additions, we have enhanced our service portfolio to benefit both experimental as computational structural biologists in their search to interpret protein structures, their dynamics and function. © 2025 The Author(s)

关键词： data archives PDB protein structure sequence analyses UniProt

Randomized projection learning method for dynamic mode decomposition

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arXiv 2021年

作者： Surasinghe, Sudam Bollt, Erik M. Department of Mathematics Clarkson University PotsdamNY13699 United States Electrical and Computer Engineering C3S2 the Clarkson Center for Complex Systems Science Clarkson University PotsdamNY13699 United States

A data-driven analysis method known as dynamic mode decomposition (DMD) approximates the linear Koopman operator on projected space. In the spirit of Johnson-Lindenstrauss Lemma, we will use random projection to estimate the DMD modes in reduced dimensional space. In practical applications, snapshots are in high dimensional observable space and the DMD operator matrix is massive. Hence, computing DMD with the full spectrum is infeasible, so our main computational goal is estimating the eigenvalue and eigenvectors of the DMD operator in a projected domain. We will generalize the current algorithm to estimate a projected DMD operator. We focus on a powerful and a simple random projection algorithm that will reduce the computational and storage cost. While clearly, a random projection simplifies the algorithmic complexity of a detailed optimal projection, as we will show, generally the results can be excellent nonetheless, and quality understood through a well-developed theory of random projections. We will demonstrate that modes can be calculated for a low cost by the projected data with sufficient dimension. © 2021, CC BY.

关键词： Computational complexity

Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends

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arXiv 2022年

作者： Mao, Yijie Dizdar, Onur Clerckx, Bruno Schober, Robert Popovski, Petar Poor, H. Vincent School of Information Science and Technology ShanghaiTech University Shanghai201210 China Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom Institute of Digital Communications Friedrich-Alexander University Erlangen-Nuremberg Erlangen91054 Germany Department of Electronic Systems Aalborg University Aalborg9220 Denmark Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

Rate-splitting multiple access (RSMA) has emerged as a novel, general, and powerful framework for the design and optimization of non-orthogonal transmission, multiple access (MA), and interference management strategies for future wireless networks. By exploiting splitting of user messages as well as non-orthogonal transmission of common messages decoded by multiple users and private messages decoded by their corresponding users, RSMA can softly bridge and therefore reconcile the two extreme interference management strategies of fully decoding interference and treating interference as noise. RSMA has been shown to generalize and subsume as special cases four existing MA schemes, namely, orthogonal multiple access (OMA), physical-layer multicasting, space division multiple access (SDMA) based on linear precoding (currently used in the fifth generation wireless network–5G), and non-orthogonal multiple access (NOMA) based on linearly precoded superposition coding with successive interference cancellation (SIC). Through information and communication theoretic analysis, RSMA has been shown to be optimal (from a Degrees-of-Freedom region perspective) in several transmission scenarios. Compared to the conventional MA strategies used in 5G, RSMA enables spectral efficiency (SE), energy efficiency (EE), coverage, user fairness, reliability, and quality of service (QoS) enhancements for a wide range of network loads (including both underloaded and overloaded regimes) and user channel conditions. Furthermore, it enjoys a higher robustness against imperfect channel state information at the transmitter (CSIT) and entails lower feedback overhead and complexity. Despite its great potential to fundamentally change the physical (PHY) layer and media access control (MAC) layer of wireless communication networks, RSMA is still confronted with many challenges on the road towards standardization. In this paper, we present the first comprehensive tutorial on RSMA by providing a survey of

关键词： Surveys

Article unsupervised assessment of balance and falls risk using a smartphone and machine learning

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Sensors 2021年第14期21卷

作者： Greene, Barry R. McManus, Killian Ader, Lilian Genaro Motti Caulfield, Brian Kinesis Health Technologies DublinD04 V2N9 Ireland Insight Centre University College Dublin DublinD04 N2E5 Ireland Department Computer Science and Information Systems University of Limerick LimerickV94 XT66 Ireland

Assessment of health and physical function using smartphones (mHealth) has enormous potential due to the ubiquity of smartphones and their potential to provide low cost, scalable access to care as well as frequent, objective measurements, outside of clinical environments. Validation of the algorithms and outcome measures used by mHealth apps is of paramount importance, as poorly validated apps have been found to be harmful to patients. Falls are a complex, common and costly problem in the older adult population. Deficits in balance and postural control are strongly associated with falls risk. Assessment of balance and falls risk using a validated smartphone app may lessen the need for clinical assessments which can be expensive, requiring non-portable equipment and specialist expertise. This study reports results for the real-world deployment of a smartphone app for self-directed, unsupervised assessment of balance and falls risk. The app relies on a previously validated algorithm for assessment of balance and falls risk;the outcome measures employed were trained prior to deployment on an independent data set. Results for a sample of 594 smartphone assessments from 147 unique phones show a strong association between self-reported falls history and the falls risk and balance impairment scores produced by the app, suggesting they may be clinically useful outcome measures. In addition, analysis of the quantitative balance features produced seems to suggest that unsupervised, self-directed assessment of balance in the home is feasible. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

关键词： Smartphones

Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges

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arXiv 2022年

作者： Yang, Wanting Du, Hongyang Liew, Zi Qin Lim, Wei Yang Bryan Xiong, Zehui Niyato, Dusit Chi, Xuefen Shen, Xuemin Sherman Miao, Chunyan The Department of Communications Engineering Jilin University Changchun130012 China Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore Singapore The School of Computer Science and Engineering The Energy Research Institute Ntu Interdisciplinary Nanyang Technological University Singapore Singapore Alibaba Group The Alibaba-NTU Joint Research Institute Nanyang Technological University Singapore Singapore School of Computer Science and Engineering Ntu Singapore Singapore The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada The School of Computer Science and Engineering Nanyang Technological University Singapore Singapore The Alibaba-NTU Joint Research Institute Nanyang Technological University Singapore Singapore The Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly Nanyang Technological University Singapore Singapore

With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on a high transmission rate to a new architecture that is based on the intelligent connection of everything. Semantic communication (SemCom), a revolutionary architecture that integrates user as well as application requirements and the meaning of information into data processing and transmission, is predicted to become a new core paradigm in 6G. While SemCom is expected to progress beyond the classical Shannon paradigm, several obstacles need to be overcome on the way to a SemCom-enabled smart wireless Internet. In this paper, we first highlight the motivations and compelling reasons of SemCom in 6G. Then, we provide an overview of SemCom-related theory development. After that, we introduce three types of SemCom, i.e., semantic-oriented communication, goal-oriented communication, and semantic-aware communication. Following that, we organize the design of the communication system into three dimensions, i.e., semantic information (SI) extraction, SI transmission, and SI metrics. For each dimension, we review existing techniques and discuss their benefits and limitation, as well as the remaining challenges. Then, we introduce the potential applications of SemCom in 6G and portray the vision of future SemCom-empowered network architecture. Finally, we outline future research opportunities. In a nutshell, this paper provides a holistic review of the fundamentals of SemCom, its applications in 6G networks, and the existing challenges and open issues with insights for further in-depth investigations. Copyright © 2022, The Authors. All rights reserved.

关键词： Network architecture