Entropy最新文献_第9页

Regression of Concurrence via Local Unitary Invariants. 通过局部单元不变式回归一致。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-29 DOI: 10.3390/e26110917

Ming Li, Wenjun Wang, Xiaoyu Zhang, Jing Wang, Lei Li, Shuqian Shen

引用次数: 0

A Comprehensive Method for Example-Based Color Transfer with Holistic-Local Balancing and Unit-Wise Riemannian Information Gradient Acceleration. 利用整体-局部平衡和单位智黎曼信息梯度加速的基于示例的色彩转移综合方法。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-29 DOI: 10.3390/e26110918

Zeyu Wang, Jialun Zhou, Song Wang, Ning Wang

{"title":"A Comprehensive Method for Example-Based Color Transfer with Holistic-Local Balancing and Unit-Wise Riemannian Information Gradient Acceleration.","authors":"Zeyu Wang, Jialun Zhou, Song Wang, Ning Wang","doi":"10.3390/e26110918","DOIUrl":"10.3390/e26110918","url":null,"abstract":"Color transfer, an essential technique in image editing, has recently received significant attention. However, achieving a balance between holistic color style transfer and local detail refinement remains a challenging task. This paper proposes an innovative color transfer method, named BHL, which stands for Balanced consideration of both Holistic transformation and Local refinement. The BHL method employs a statistical framework to address the challenge of achieving a balance between holistic color transfer and the preservation of fine details during the color transfer process. Holistic color transformation is achieved using optimal transport theory within the generalized Gaussian modeling framework. The local refinement module adjusts color and texture details on a per-pixel basis using a Gaussian Mixture Model (GMM). To address the high computational complexity inherent in complex statistical modeling, a parameter estimation method called the unit-wise Riemannian information gradient (uRIG) method is introduced. The uRIG method significantly reduces the computational burden through the second-order acceleration effect of the Fisher information metric. Comprehensive experiments demonstrate that the BHL method outperforms state-of-the-art techniques in both visual quality and objective evaluation criteria, even under stringent time constraints. Remarkably, the BHL method processes high-resolution images in an average of 4.874 s, achieving the fastest processing time compared to the baselines. The BHL method represents a significant advancement in the field of color transfer, offering a balanced approach that combines holistic transformation and local refinement while maintaining efficiency and high visual quality.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"26 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11592582/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142726646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prepare Linear Distributions with Quantum Arithmetic Units. 用量子算术单元准备线性分布。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-28 DOI: 10.3390/e26110912

Junxu Li

引用次数: 0

User-Perceived Capacity: Theory, Computation, and Achievable Policies. 用户感知容量：理论、计算和可实现的政策。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-28 DOI: 10.3390/e26110914

Yuanrui Liu, Xiaoyu Zhao, Wei Chen

{"title":"User-Perceived Capacity: Theory, Computation, and Achievable Policies.","authors":"Yuanrui Liu, Xiaoyu Zhao, Wei Chen","doi":"10.3390/e26110914","DOIUrl":"10.3390/e26110914","url":null,"abstract":"User-perceived throughput is a novel performance metric attracting a considerable amount of recent attention because it characterizes the quality of the experience in mobile multimedia services. For instance, it gives a data rate of video streaming with which a user will not experience any lag or outage in watching video clips. However, its performance limit remains open. In this paper, we are interested in the achievable upper bound of user-perceived throughput, also referred to as the user-perceived capacity, and how to achieve it in typical wireless channels. We find that the user-perceived capacity is quite limited or even zero with channel state information at the receiver (CSIR) only. When both CSIR and channel state information at the transmitter (CSIT) are available, the user-perceived throughput can be substantially improved by power or even rate adaptation. A constrained Markov decision process (CMDP)-based approach is conceived to compute the user-perceived capacity with joint power-rate adaptation. It is rigorously shown that the optimal policy obeys a threshold-based rule with time, backlog, and channel gain thresholds. With power adaptation only, the user-perceived capacity is equal to the hard-delay-constrained capacity in our previous work and achieved by joint diversity and channel inversion.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"26 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11592597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142727305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Non-Stochastic Special Model of Risk Based on Radon Transform. 基于氡变换的非随机风险特殊模型

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-28 DOI: 10.3390/e26110913

Marcin Makowski, Edward W Piotrowski

{"title":"A Non-Stochastic Special Model of Risk Based on Radon Transform.","authors":"Marcin Makowski, Edward W Piotrowski","doi":"10.3390/e26110913","DOIUrl":"10.3390/e26110913","url":null,"abstract":"The concept of risk is fundamental in various scientific fields, including physics, biology and engineering, and is crucial for the study of complex systems, especially financial markets. In our research, we introduce a novel risk model that has a natural transactional-financial interpretation. In our approach, the risk of holding a financial instrument is related to the measure of the possibility of its loss. In this context, a financial instrument is riskier the more opportunities there are to dispose of it, i.e., to sell it. We present a model of risk understood in this way, introducing, in particular, the concept of financial time and a financial frame of reference, which allows for associating risk with the subjective perception of the observer. The presented approach does not rely on statistical assumptions and is based on the transactional interpretation of models. To measure risk, we propose using the Radon transform. The financial concept of risk is closely related to the concepts of uncertainty, entropy, information, and error in physics. Therefore, the well-established algorithmic aspects of the computed tomography method can be effectively applied to the broader field of uncertainty analysis, which is one of the foundational elements of experimental physics.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"26 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11592559/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142726624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synergy as the Failure of Distributivity. 协同是分配的失败。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-28 DOI: 10.3390/e26110916

Ivan Sevostianov, Ofer Feinerman

引用次数: 0

LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation. 基于层次分类法和最大似然估计的 LPI 雷达波形识别。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-28 DOI: 10.3390/e26110915

Kiwon Rhee, Jaeyoung Baik, Changhoon Song, Hyun-Chool Shin

引用次数: 0

Some Improvements on Good Lattice Point Sets. 良好网格点集的一些改进

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-27 DOI: 10.3390/e26110910

Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

{"title":"Some Improvements on Good Lattice Point Sets.","authors":"Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang","doi":"10.3390/e26110910","DOIUrl":"10.3390/e26110910","url":null,"abstract":"Good lattice point (GLP) sets are a type of number-theoretic method widely utilized across various fields. Their space-filling property can be further improved, especially with large numbers of runs and factors. In this paper, Kullback-Leibler (KL) divergence is used to measure GLP sets. The generalized good lattice point (GGLP) sets obtained from linear-level permutations of GLP sets have demonstrated that the permutation does not reduce the criterion maximin distance. This paper confirms that linear-level permutation may lead to greater mixture discrepancy. Nevertheless, GGLP sets can still enhance the space-filling property of GLP sets under various criteria. For small-sized cases, the KL divergence from the uniform distribution of GGLP sets is lower than that of the initial GLP sets, and there is nearly no difference for large-sized points, indicating the similarity of their distributions. This paper incorporates a threshold-accepting algorithm in the construction of GGLP sets and adopts Frobenius distance as the space-filling criterion for large-sized cases. The initial GLP sets have been included in many monographs and are widely utilized. The corresponding GGLP sets are partially included in this paper and will be further calculated and posted online in the future. The performance of GGLP sets is evaluated in two applications: computer experiments and representative points, compared to the initial GLP sets. It shows that GGLP sets perform better in many cases.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"26 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11593208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142727239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of Laser Ablation Quality Based upon Entropy Analysis of Data Science. 基于数据科学熵分析的激光烧蚀质量调查。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-27 DOI: 10.3390/e26110909

Chien-Chung Tsai, Tung-Hon Yiu

{"title":"Investigation of Laser Ablation Quality Based upon Entropy Analysis of Data Science.","authors":"Chien-Chung Tsai, Tung-Hon Yiu","doi":"10.3390/e26110909","DOIUrl":"10.3390/e26110909","url":null,"abstract":"Laser ablation is a vital material removal technique, but current methods lack a data-driven approach to assess quality. This study proposes a novel method, employing information entropy, a concept from data science, to evaluate laser ablation quality. By analyzing the randomness associated with the ablation process through the distribution of a probability value (reb), we quantify the uncertainty (entropy) of the ablation. Our research reveals that higher energy levels lead to lower entropy, signifying a more controlled and predictable ablation process. Furthermore, using an interval time closer to the baseline value improves the ablation consistency. Additionally, the analysis suggests that the energy level has a stronger correlation with entropy than the baseline interval time (bit). The entropy decreased by 6.32 from 12.94 at 0.258 mJ to 6.62 at 0.378 mJ, while the change due to the bit was only 2.12 (from 10.84 at bit/2 to 8.72 at bit). This indicates that energy is a more dominant factor for predicting ablation quality. Overall, this work demonstrates the feasibility of information entropy analysis for evaluating laser ablation, paving the way for optimizing laser parameters and achieving a more precise material removal process.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"26 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11592790/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142727234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval. 用于跨模态检索的文本增强图注意哈希算法

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2024-10-27 DOI: 10.3390/e26110911

Qiang Zou, Shuli Cheng, Anyu Du, Jiayi Chen

{"title":"Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval.","authors":"Qiang Zou, Shuli Cheng, Anyu Du, Jiayi Chen","doi":"10.3390/e26110911","DOIUrl":"10.3390/e26110911","url":null,"abstract":"Deep hashing technology, known for its low-cost storage and rapid retrieval, has become a focal point in cross-modal retrieval research as multimodal data continue to grow. However, existing supervised methods often overlook noisy labels and multiscale features in different modal datasets, leading to higher information entropy in the generated hash codes and features, which reduces retrieval performance. The variation in text annotation information across datasets further increases the information entropy during text feature extraction, resulting in suboptimal outcomes. Consequently, reducing the information entropy in text feature extraction, supplementing text feature information, and enhancing the retrieval efficiency of large-scale media data are critical challenges in cross-modal retrieval research. To tackle these, this paper introduces the Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval (TEGAH) framework. TEGAH incorporates a deep text feature extraction network and a multiscale label region fusion network to minimize information entropy and optimize feature extraction. Additionally, a Graph-Attention-based modal feature fusion network is designed to efficiently integrate multimodal information, enhance the affinity of the network for different modes, and retain more semantic information. Extensive experiments on three multilabel datasets demonstrate that the TEGAH framework significantly outperforms state-of-the-art cross-modal hashing methods.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"26 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11592578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142727296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0