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JPEG Reversible Data Hiding via Block Sorting Optimization and Dynamic Iterative Histogram Modification

IEEE Transactions on Multimedia 2025年 27卷 3729-3743页

作者： Li, Fengyong Wang, Qiankuan Cheng, Hang Zhang, Xinpeng Qin, Chuan Shanghai University of Electric Power College of Computer Science and Technology Shanghai201306 China Fuzhou University School of Mathematics and Statistics Fuzhou Fujian350108 China Fudan University School of Computer Science Shanghai200433 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China

JPEG reversible data hiding (RDH) refers to covert communication technology to accurately extract secret data while also perfectly recovering the original JPEG image. With the development of cloud services, a large number of private JPEG images can be efficiently managed in cloud platforms by embedding user ID or authentication labels. Nevertheless, data embedding operations may inadvertently disrupt the encoding sequence of the original JPEG image, resulting in severe distortion of the host image when it is re-compressed to JPEG format. To address this problem, this paper proposes a new JPEG RDH scheme based on block sorting optimization and dynamic iterative histogram modification. We firstly design a block ordering optimization strategy by combining the number of zero coefficients and the quantization table values of non-zero coefficients in a DCT block. Subsequently, a dynamic iterative histogram modification scheme is proposed by considering the local features and embedding capability of histograms generated from different texture images. According to the given payloads, we introduce different parameters to control the iterations of two-dimensional histogram and then adaptively generate the optimal histogram modification mapping, which can realize low JPEG file size increments by guaranteeing most of the AC coefficients unchanged as much as possible. Numerous experiments have shown that our scheme can achieve an effective balance among embedding capacity, visual quality, file size increment, computational complexity, and outperforms the state-of-the-arts in terms of the above metrics. © 1999-2012 IEEE.

关键词： Embeddings

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Enhanced YOLOv5s-Based Apple Detection for Harvesting Robots Using a Multi-Rotated Box Algorithm

Informatica (Slovenia)

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Informatica (Slovenia) 2025年第18期49卷 191-204页

作者： Feng, Wen Jian Zhao, Yi Lin Xie, Yongsheng Wei, Linbing Guangxi Eco-engineering Vocational & Technical College Liuzhou Guangxi 545004 China School of Mathematics and Computer Science Guangxi Science & Technology Normal University Laibin546199 China

The apple picking robot makes use of a number of technologies, one of which is the apple target identification algorithm. When it comes to automated apple picking, the robots' optical systems are crucial. Generally speaking, it finds ripe apples by taking photographs of its environment, processing them, and then analyzing the findings. The inability of traditional vision algorithms to process complex backdrops hinders the efficiency of harvesting robots. The continuous development and refining of the CNN have led to a substantial improvement in its efficacy in target identification during the last several years. The current crop of apple recognition algorithms struggles to tell the difference between partially obscured apples and ones entirely concealed by tree branches. Direct use of the algorithm endangers the harvesting robot's mechanical arm, apples, as well as gripping end-effector. In response to this real-world issue, we provide a lightweight apple targets identification approach for picking robots based on enhanced YOLOv5s. This method can automatically identify which apples in an apple tree picture are graspable and which ones are not. This method is able to circumvent the impact of light transformation, in contrast to the conventional segmentation approach. When there is a lot of resemblance between the fruit and the backdrop, though, it becomes more challenging to get strong recognition results. With a recall rate of 98%, a detection speed of 47 f/s, and a mAP (mean Average Precision) of apple detection of 98.13%, the findings demonstrate that the YOLO v5 network has perfect properties. The YOLO v5 is able to simultaneously fulfill the accuracy and speed criteria of apple identification, in contrast to more conventional network models like Faster R-CNN and YOLO v4. The experiment culminates with the employment of the apple-harvesting robot that the researcher developed themselves. Results demonstrate that the robot has a harvesting success rate of 99.2% i

关键词： Fruits

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Classification of Covering Spaces and Canonical Change of Basepoint 29

Classification of Covering Spaces and Canonical Change of Ba...

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29th International Conference on Types for Proofs and Programs, TYPES 2023

作者： Wemmenhove, Jelle Manea, Cosmin Portegies, Jim Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands

ISBN: (纸本)9783959773324

Using the language of homotopy type theory (HoTT), we 1) prove a synthetic version of the classification theorem for covering spaces, and 2) explore the existence of canonical change-of-basepoint isomorphisms between homotopy groups. There is some freedom in choosing how to translate concepts from classical algebraic topology into HoTT. The final translations we ended up with are easier to work with than the ones we started with. We discuss some earlier attempts to shed light on this translation process. The proofs are mechanized using the Coq proof assistant and closely follow classical treatments like those by Hatcher [6]. © Jelle Wemmenhove, Cosmin Manea, and Jim Portegies.

关键词： Algebra

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New physical structures and patterns to the optical solutions of the nonlinear Schrödinger equation with a higher dimension

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Communications in Theoretical Physics 2023年第8期75卷 25-41页

作者： Karmina K Ali Abdullahi Yusuf Marwan Alquran Sibel Tarla Department of Mathematics Faculty of ScienceUniversity of ZakhoZakhoIraq Department of Computer Science College of ScienceKnowledge UniversityErbil 44001Iraq Department of Computer Engineering Biruni UniversityIstanbulTurkey Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Department of Mathematics Near East University TRNCMersin 10Nicosia 99138Turkey Department of Mathematics and Statistics Jordan University of Science&TechnologyIrbid 22110Jordan Department of Mathematics Faculty of ScienceFirat UniversityElazigTurkey

It is commonly recognized that,despite current analytical approaches,many physical aspects of nonlinear models remain *** is critical to build more efficient integration methods to design and construct numerous other unknown solutions and physical attributes for the nonlinear models,as well as for the benefit of the largest audience *** achieve this goal,we propose a new extended unified auxiliary equation technique,a brand-new analytical method for solving nonlinear partial differential *** proposed method is applied to the nonlinear Schrödinger equation with a higher dimension in the anomalous *** interesting solutions have been ***,to shed more light on the features of the obtained solutions,the figures for some obtained solutions are *** propagation characteristics of the generated solutions are *** results show that the proper physical quantities and nonlinear wave qualities are connected to the parameter *** is worth noting that the new method is very effective and efficient,and it may be applied in the realisation of novel solutions.

关键词： exact solutions nonlinear Schrodinger equation new extended unified auxiliary equation method Jacobi elliptic functions

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An Efficient Bi-modal Fusion Framework for Music Emotion Recognition

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IEEE Transactions on Affective Computing 2024年第2期16卷 999-1015页

作者： Xiao, Yao Ruan, Haoxin Zhao, Xujian Jin, Peiquan Tian, Li Wei, Zihan Cai, Xuebo Wang, Yixin Liu, Liang Southwest University of Science and Technology School of Computer Science and Technology Sichuan Mianyang621010 China Southwest University of Science and Technology School of Mathematics and Physics Sichuan Mianyang621010 China University of Science and Technology of China School of Computer Science and Technology Hefei230000 China Sichuan University of Culture and Arts School of Music and Dance Sichuan Mianyang621000 China Southwest University of Science and Technology School of Economics and Management Sichuan Mianyang621010 China

Current methods for Music Emotion Recognition (MER) face challenges in effectively extracting features sensitive to emotions, especially those rich in temporal detail. Moreover, the narrow scope of music-related modalities impedes data integration from multiple sources, while including multiple modalities often leads to redundant information, which can degrade performance. To address these issues, we propose a lightweight framework for music emotion recognition that improves the extraction of features that are both sensitive to emotions and rich in temporal information and that integrates data from both audio and MIDI modalities while minimizing redundancy. Our approach involves developing two innovative unimodal encoders to learn embeddings from audio and MIDI-like features. Additionally, we introduce a Bi-modal Fusion Attention Model (BFAM) that integrates features from low-level to high-level semantic information across different modalities. Experimental evaluations on the EMOPIA and VGMIDI datasets show that our unimodal networks achieve accuracies that are 6.1% and 4.4% higher than baseline algorithms for MIDI and audio on the EMOPIA dataset, respectively. Furthermore, our BFAM achieves a 15.2% improvement in accuracy over the baseline, reaching 82.2%, which underscores its effectiveness for bi-modal MER applications © 2010-2012 IEEE.

关键词： Data integration

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A Novel Fuzzy Modified RAFSI Method and its Applications in Multi-Criteria Decision-Making Problems

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Informatica (Slovenia) 2024年第1期48卷 21-30页

作者： Bisht, Garima Pal, A.K. Department of Mathematics Statistics and Computer Science Govind Ballabh Pant University of Agriculture and Technology Uttarakhand Pantnagar263145 India

In real-life decision-making problems, the constraints may change from time to time. Change in certain decision elements can lead to the introduction of new alternatives or the removal of old alternatives to the existing decision, resulting in rank reversal. Rank reversal is the most significant problem that can't be ignored in multi-criteria decision-making (MCDM) methods. Ranking of alternatives through functional mapping of criterion subintervals into a single interval (RAFSI) method effectively removes the problem of rank reversal, but there are some limitations like standardized decision matrix is obtained by the assumption of supreme value as at least six times improved than the anti-supreme value, which is not always true. This paper aims to address those limitations by giving a modified form of the RAFSI (MRAFSI) method. As real-life problems are associated with uncertainty in the form of linguistic terms, a fuzzified form of the MRAFSI method has been given using triangular fuzzy numbers (TFNs) to deal with uncertainty. The effectiveness of the presented method is illustrated using a real-time case study to rank five stocks under the National Stock Exchange (NSE) for the year 2021 and is compared with other MCDM methods for validation. The supplier selection problem has been taken as an example to show the application of the Fuzzy Modified RAFSI (FMRAFSI) method. © 2024 Slovene Society Informatika. All rights reserved.

关键词： Decision making

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Proteus: A Framework for Enhancing Model-Based Systems Engineering Through 3D Visualization of System Models 4

Proteus: A Framework for Enhancing Model-Based Systems Engin...

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4th IEEE International Conference on Electrical, computer, and Energy Technologies, ICECET 2024

作者： Barosan, Ion Koenraadt, Thijs Van De Wetering, Huub Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9798350395914

As systems grow in size and complexity, the challenge of comprehensively maintaining and understanding their structure also increases. Utilizing a Model-Based Systems Engineering (MBSE) approach can be beneficial in addressing this issue. MBSE simplifies the system design process by using models to represent the system's structure and behavior, often represented through 2D UML/SySML diagrams. This paper explores the conversion of existing 2D system models into a 3D Modeling Format (3DMF) that accurately represents system structure and behavior. This conversion is foundational to the development of Proteus, a 3D visualization framework. Proteus is designed to enable the visualization of 2D system models from various modeling tools within a 3D environment, creating a live-link between these tools and the virtual reality (VR) space. This integration of Proteus into existing projects empowers system architects and developers to gain a more profound understanding and insight into their system models, going beyond the capabilities of conventional 2D model representations. Digital Twins technology is an emerging concept in the world of technology that produces virtual replicas that closely resemble physical objects. Within this realm, Proteus is designed to effortlessly incorporate 3D model visualization alongside these digital twins. This integration facilitates the use of 3D models in the design and testing stages of the systems being modeled, placing Proteus at the forefront of advancing Digital Twins technology. Proteus is designed with an abstract framework that not only facilitates its easy expansion but also leverages the benefits of incorporating 3D models into a virtual reality (VR) setting. This project enhances future developments by utilizing VR's immersive features to improve the exploration and understanding of system models, offering an immersive experience for system architects and developers. © 2024 IEEE.

关键词： Digital Twin MBSE model conversion model execution model validation SysML UML

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Sentiment of Technical Debt Security Questions on Stack Overflow: A Replication Study 31

Sentiment of Technical Debt Security Questions on Stack Over...

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31st IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024

作者： Jansen, Jarl Cassee, Nathan Serebrenik, Alexander Eindhoven University of Technology Mathematics and Computer Science Eindhoven Netherlands

ISBN: (纸本)9798350330663

Technical debt (TD) refers to the accumulation of negative consequences resulting from sub-optimal solutions during software development. A recent paper by Edbert et al. studied the difference between security-related TD questions, and security-related non-TD questions on Stack Overflow (SO). One of the characteristics under investigation is the sentiment expressed in these two categories as sentiment provides insight into developers' attitudes and emotions toward security-related TD. To this end, Edbert et al. used a general-purpose, off-the-shelf, sentiment analysis tool. However, previous research has shown that general-purpose off-the-shelf sentiment tools are potentially unreliable when applied to software engineering texts. Therefore, we replicate the study by Edbert et al. using state-of-the-art sentiment analysis tools purpose-built and fine-tuned on SE data, to understand whether and how tool-choice influences the obtained results. We consider both shallow (Senti4SD) and deep learning (BERT4SentiSE) tools. To further understand the differences between shallow and deep-learning sentiment analysis tools, we perform a qualitative analysis into the underlying reasons for tools disagreement. We identify five categories of disagreements: misunderstanding context, courtesy phrases, subjective sentiment, brevity, and divergent examples. Our results are relevant to academics, reiterating the relevance of careful selection of tools used to perform sentiment analysis. Furthermore, the results are relevant to users and developers of sentiment analysis tools, as they inform tool selection dependent on the application domain, and provide insight into optimization of the pre-processing steps. Finally, our study shows that retraining sentiment analysis tools with identical data fails to resolve fundamental inconsis-tencies between how certain types of language, such as courtesy phrases, are classified. © 2024 IEEE.

关键词： Sentiment analysis

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LLM Prompting Strategies in Automated Machine Learning

LLM Prompting Strategies in Automated Machine Learning

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2024 IEEE International Conference on Machine Learning and Applied Network Technologies, ICMLANT 2024

作者： Jurado, Israel Campero Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9798350389180

Large Language Models (LLMs) present a promising way to include expert knowledge when building machine pipelines. This paper presents a study on how to integrate LLMs with Automated Machine Learning (AutoML) systems and empirical metadata from earlier experiments. One contribution of our work was comparing two similarity metrics in datasets to leverage relevant prior metadata to improve LLM-guided pipeline generation. In addition, we evaluated four levels of challenge in the LLM through prompts to identify boundaries. Likewise, we explore the use of LLM as a further optimizer for Bayesian optimization. We identify and mitigate potential pitfalls, delineate the current potential and limitations of LLMs in this setting, and provide valuable insight into LLM-guided pipeline generation methods in AutoML and the industry. © 2024 IEEE.

关键词： Adversarial machine learning

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The Number of Random 2-SAT Solutions Is Asymptotically Log-Normal 27

The Number of Random 2-SAT Solutions Is Asymptotically Log-N...

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27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024

作者： Chatterjee, Arnab Coja-Oghlan, Amin Müller, Noela Riddlesden, Connor Rolvien, Maurice Zakharov, Pavel Zhu, Haodong Department of Computer Science TU Dortmund Germany Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands

ISBN: (纸本)9783959773485

We prove that throughout the satisfiable phase, the logarithm of the number of satisfying assignments of a random 2-SAT formula satisfies a central limit theorem. This implies that the log of the number of satisfying assignments exhibits fluctuations of order √n, with n the number of variables. The formula for the variance can be evaluated effectively. By contrast, for numerous other random constraint satisfaction problems the typical fluctuations of the logarithm of the number of solutions are bounded throughout all or most of the satisfiable regime. © Arnab Chatterjee, Amin Coja-Oghlan, Noela Müller, Connor Riddlesden, Maurice Rolvien, Pavel Zakharov, and Haodong Zhu.

关键词： Constraint satisfaction problems

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