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Fractional order swarming intelligence for multi-objective load dispatch with photovoltaic integration

engineering Applications of Artificial Intelligence 2024年第PartA期137卷

作者： Muhammad, Yasir Chaudhary, Naveed Ishtiaq Sattar, Babar Siar, Babar Awan, Saeed Ehsan Raja, Muhammad Asif Zahoor Shu, Chi-Min Department of Electrical and Computer Engineering COMSATS University Islamabad Attock Campus Attock Pakistan Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Douliou Yunlin64002 Taiwan Department of Safety Health and Environmental Engineering National Yunlin University of Science and Technology 123 University Road Section 3 Douliou Yunlin64002 Taiwan

In this research work, the concept of fractional calculus is integrated inside the mathematical model of the canonical particle swarm optimization (i.e., FPSO) to enhance its optimization characteristics, namely its convergence rate, for solving the combined economic emission and load dispatch problems in the power systems. The proposed FPSO is exploited by tuning the output of the thermal and photovoltaic generation to reduce the overall operational cost, emissions, and line losses while meeting the consumer power demand in the standard Institute of Electrical and Electronic engineering (IEEE) 30 bus network. The outcomes of the FPSO are compared with their recent state-of-the-art counterparts to endorse its efficacy for solving economic load dispatch problem, while the reliability and consistency of the FPSO are additionally confirmed through statistical illustrations that include the minimum fitness gauges in each independent execution, boxplot illustrations, histograms, plots for normal distribution, boxplots for time complexity, plots for Weibull distribution, plots for the cumulative distribution function, and quantile–quantile plots as a gauge of the diversity and central tendency. © 2024 Elsevier Ltd

关键词： Particle swarm optimization (PSO)

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A Data-Centric Accelerator for High-Performance Hypergraph Processing 22

A Data-Centric Accelerator for High-Performance Hypergraph P...

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Proceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture

作者： Qinggang Wang Long Zheng Ao Hu Yu Huang Pengcheng Yao Chuangyi Gui Xiaofei Liao Hai Jin Jingling Xue National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China and Zhejiang Lab Hangzhou China National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Science and Engineering University of New South Wales Sydney NSW Australia

ISBN: (纸本)9781665462723

Hypergraph processing has emerged as a powerful approach for analyzing complex multilateral relationships among multiple entities. Past research on building hypergraph systems suggests that changing the scheduling order of bipartite edge tasks can improve the overlap-induced data locality in hypergraph processing. However, due to the complex intertwined connections between vertices and hyperedges, it is almost impossible to find a locality-optimal scheduling order. Thus, these task-centric hypergraph systems often suffer from substantial off-chip *** this paper, we first propose a novel data-centric Load-Trigger-Reduce (LTR) execution model to exploit fully the locality in hypergraph processing. Unlike a task-centric model that loads the required data along with a task, our LTR model invokes tasks as per the data used. Specifically, once the hypergraph data is loaded into the on-chip memory, all of its relevant computation tasks will be triggered simultaneously to output intermediate results, which are finally reduced to update the final results. Our LTR model enables all hypergraph data to be accessed once in each iteration. To fully exploit the LTR performance potential, we further architect an LTR-driven hypergraph accelerator, XuLin, which features with an adaptive data loading mechanism to minimize the loading cost via chunk merging at runtime. XuLin is also equipped with a priority-based differential data reduction scheme to reduce the impact of conflicting updates on performance. We have implemented XuLin both on a Xilinx Alveo U250 FPGA card and using a cycle-accurate simulator. The results show that XuLin outperforms the state-of-the-art hypergraph processing solutions Hygra and ChGraph by 20.47× and 8.77× on average, respectively.

关键词： hypergraph data-centric accelerator

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A Lookup Table for Deficiency Number Calculation in Mahjong 29th

A Lookup Table for Deficiency Number Calculation in Mahjon...

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29th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2024

作者： Tang, Shih-Chieh Chen, Jr-Chang Wu, I-Chen Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Computer Science and Information Engineering National Taipei University New Taipei City Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan

ISBN: (纸本)9789819645886

In the game of Mahjong, the deficiency number is an important metric to judge the quality of a given hand. Calculating this number on-the-fly using traditional methods, such as depth-first search, is time consuming. In this paper, we propose a formula for the deficiency number and design a greedy method to build a lookup table in advance, allowing for more efficient calculations. While using these tables, we introduce two methods to handle some special cases, named hidden tiles and pseudo-meld prioritization. By applying these methods, we ensure the correctness when using these tables. The experimental results show a speedup of 121.2 times compared to VeryLongCat and 6868.9 times compared to Botzone. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deficiency Number Lookup Table Mahjong

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Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models 30

Step-by-Step: Controlling Arbitrary Style in Text with Large...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Liu, Pusheng Wu, Lianwei Wang, Linyong Guo, Sensen Liu, Yang National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science Northwestern Polytechnical University China Research & Development Institute of Northwestern Polytechnical University Shenzhen China Chongqing Science & Technology Innovation Center of Northwestern Polytechnical University China State Key Laboratory of Integrated Service Networks Xidian University China School of Artificial Intelligence Optics and Electronics Northwestern Polytechnical University China

ISBN: (纸本)9782493814104

Recently, the autoregressive framework based on large language models (LLMs) has achieved excellent performance in controlling the generated text to adhere to the required style. These methods guide LLMs through prompt learning to generate target text in an autoregressive manner. However, this manner possesses lower controllability and suffers from the challenge of accumulating errors, where early prediction inaccuracies might influence subsequent word generation. Furthermore, existing prompt-based methods overlook specific region editing, resulting in a deficiency of localized control over input text. To overcome these challenges, we propose a novel three-stage prompt-based approach for specific region editing. To alleviate the issue of accumulating errors, we transform the text style transfer task into a text infilling task, guiding the LLMs to modify only a small portion of text within the editing region to achieve style transfer, thus reducing the number of autoregressive iterations. To achieve an effective specific editing region, we adopt both prompt-based and word frequency-based strategies for region selection, subsequently employing a discriminator to validate the efficacy of the selected region. Experiments conducted on several publicly competitive datasets for text style transfer task confirm that our proposed approach achieves state-of-the-art performance. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Computational linguistics

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ON THE MAXIMUM SIZE OF VARIABLE-LENGTH NON-OVERLAPPING CODES

arXiv

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arXiv 2024年

作者： Wang, Geyang Wang, Qi Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College ParkMD20742 United States Department of Computer Science and Engineering National Center for Applied Mathematics Shenzhen Southern University of Science and Technology Nanshan District Guangdong Shenzhen518055 China

Non-overlapping codes are a set of codewords such that the prefix of each codeword is not a suffix of any codeword in the set, including itself. If the lengths of the codewords are variable, it is additionally required that every codeword is not contained in any other codeword as a subword. Let C(n, q) be the maximum size of q-ary fixed-length non-overlapping codes of length n. The upper bound on C(n, q) has been well studied. However, the nontrivial upper bound on the maximum size of variable-length non-overlapping codes of length at most n remains open. In this paper, by establishing a link between variable-length non-overlapping codes and fixed-length ones, we are able to show that the size of a q-ary variable-length non-overlapping code is upper bounded by C(n, q). Furthermore, we prove that the average length of the codewords in a q-ary variable-length non-overlapping codes is lower bounded by ⌈logq C˜⌉, and is asymptotically no shorter than n−2 as q approaches ∞, where C˜ denotes the cardinality of q-ary variable-length non-overlapping codes of length up to *** Codes 94A45, 94B25 © 2024, CC BY.

关键词： C (programming language)

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NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors 39

NumbOD: A Spatial-Frequency Fusion Attack Against Object Det...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Zhou, Ziqi Li, Bowen Song, Yufei Yu, Zhifei Hu, Shengshan Wan, Wei Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia

ISBN: (纸本)157735897X

With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like autonomous driving. Previous adversarial attacks against ODs have been focused on designing customized attacks targeting their specific structures (e.g., NMS and RPN), yielding some results but simultaneously constraining their scalability. Moreover, most efforts against ODs stem from image-level attacks originally designed for classification tasks, resulting in redundant computations and disturbances in object-irrelevant areas (e.g., background). Consequently, how to design a model-agnostic efficient attack to comprehensively evaluate the vulnerabilities of ODs remains challenging and unresolved. In this paper, we propose NumbOD, a brand-new spatial-frequency fusion attack against various ODs, aimed at disrupting object detection within images. We directly leverage the features output by the OD without relying on its internal structures to craft adversarial examples. Specifically, we first design a dual-track attack target selection strategy to select high-quality bounding boxes from OD outputs for targeting. Subsequently, we employ directional perturbations to shift and compress predicted boxes and change classification results to deceive ODs. Additionally, we focus on manipulating the high-frequency components of images to confuse ODs’ attention on critical objects, thereby enhancing the attack efficiency. Our extensive experiments on nine ODs and two datasets show that NumbOD achieves powerful attack performance and high stealthiness. © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep learning

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Dual efficient reversible data hiding using Hamming code and OPAP

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Journal of Information Security and Applications 2023年 76卷

作者： Kim, Cheonshik Yang, Ching-Nung Zhou, Zhili Jung, Ki-Hyun Department of Computer Engineering Sejong University Seoul Korea Republic of Department of Computer Science and Information Engineering National Dong Hwa University Taiwan School of Computer and Software & Engineering Research Center of Digital Forensics Ministry of Education Nanjing University of Information Science and Technology Nanjing210000 China Department of Software Convergence Andong National University Gyeongbuk 36729 Korea Republic of

Dual image based RDH is a separate research area of the traditional RDH method, which has been continuously studied by several researchers over the past decade. In the research of dual RDH, extension of the traditional RDH algorithm or methods of improving the existing DH algorithm to dual RDH have been proposed. Hamming code (HC) is a method used as a DH method, but it is not applied to RDH. In this paper, we propose a dual RDH method using Hamming codes. Previously, Jana et al. proposed HC(7,4)-based dual RDH, but in terms of performance, it showed a weakness that did not reach the performance of the previously proposed RDH. In this paper, we propose a dual RDH scheme using Hamming code and OPAP. As previously suggested by Jana et al. The performance of dual RDH of HC(7,4) has been greatly improved. In this paper, HC(3,1) is used to significantly improve data hiding capacity and image quality, i.e., since this method conceals 2-bit secret data in 3 pixels using the OPAP method and the Hamming code, the embedding rate is 1.0 bpp and the average of the two marked images is measured as 51 dB. With the efficiency of the proposed coding method, it is possible to maintain high image quality. As a result of the experiment, our proposed data hiding capacity greatly outperformed the method proposed by Jana et al., and compared to the existing methods, it was almost similar in capacity and showed good performance in terms of image quality. © 2023 Elsevier Ltd

关键词： Pixels

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Exploring an InGaN Micro-LED structure for optimum IQE operating on low current condition through simulation study

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International Journal of Modern Physics B 2025年第6期39卷

作者： Hung, Wen-Ching Chang, Sheng-Po Chang, Shoou-Jinn Kuo, Hao-Chung Chen, Jyh-Chen Department of Mechanical Engineering National Central University Jhongli City32001 Taiwan Department of Microelectronics Engineering National Kaohsiung University of Science and Technology Kaohsiung City88157 Taiwan Department of Electrical Engineering Institute of Microelectronics National Cheng Kung University No. 1 Ta Hseuh Road Tainan City70101 Taiwan Department of Photonics College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Semiconductor Research Center Hon Hai Research Institute Taipei11492 Taiwan

Light-emitting diodes (LEDs) are key components in display applications. The quantum efficiency of GaN/InGaN LEDs has been enhanced, leading to advancements in indoor and outdoor RGB LED display applications. White LED backlights are commonly used in displays due to the increased efficiency of InGaN LEDs. Despite efficiency, lifespan and image retention issues, OLED displays are utilized in high-end mobile phones to meet market expectations for screen response time and color saturation. Micro-LED RGB full-color displays have the potential to dominate the next-generation display market, driven by the increasing demands for resolution, power consumption and response time. Micro-LEDs are becoming smaller, reaching sizes of 50μm or even smaller, to meet the high-resolution requirements of displays. They offer higher contrast, brightness and faster response speeds. This research utilizes numerical simulations to develop a model for radiative and nonradiative recombination in InGaN semiconductor materials. The aim is to investigate the internal quantum efficiency (IQE) of various chip sizes, quantum well counts, well thicknesses and electron block layers under low current densities. The research reveals that the optimal structure is a single quantum well with an electron block layer (EBL), which can increase IQE from 53.85% to 80.9% at 0.01A/cm2 under low current density conditions, with a decrease in the number of quantum wells to one. The IQE efficiency improvement is 27.05%. © 2025 World Scientific Publishing Company.

关键词： Light emitting diodes

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5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project

5G High Mast Inspection Based on a Decentralized Autonomous ...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance engineering, IncoME-V 2023, International conference on the Efficiency and Performance engineering Network, TEPEN 2023

作者： Chochliouros, Ioannis Kourtis, Michail-Alexandros Xilouris, George Tavernier, Wouter Spiliopoulou, Anastasia Zaharis, Zaharias Lazaridis, Pavlos S.A. Fixed Network R&D Programs Section Maroussi-Athens15122 Greece National Center for Scientific Research "Demokritos" Agia Paraskevi15341 Greece IMEC-Department of Information Technology Ghent University Ghent9000 Belgium School of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki54124 Greece School of Computing and Engineering University of Huddersfield HuddersfieldHD1 3DH United Kingdom

ISBN: (纸本)9783031494123

In this work, based on the framework of the ongoing OASEES EU-funded project, we have discussed the concept of a Decentralized Autonomous Organization (DAO) that operates on a blockchain and governed by smart contracts. Then we have focused upon the description of a specific use case related to high mast inspection of telecommunications infrastructures. OASEES intends to integrate the DAO paradigm for the self-organized operation of a drone swarm, which will rely on the tight consolidation of the networking (e.g., 5G/B5G) and edge acceleration technologies (e.g., Spiking Neural Networks). We have introduced this use case and also discussed current state-of-the-art together with existing limitations. In addition, we have identified intended scenarios of use and proposed specific requirements for conformance to the corresponding project architecture. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Drones

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Short Tail:taming tail latency for erasure-code-based in-memory systems

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Frontiers of Information technology & Electronic engineering 2022年第11期23卷 1646-1657页

作者： Yun TENG Zhiyue LI Jing HUANG Guangyan ZHANG College of Computer Science and Technology Jilin UniversityChangchun 130012China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China Beijing National Research Center for Information Science and Technology(Tsinghua University) Beijing 100084China

In-memory systems with erasure coding(EC)enabled are widely used to achieve high performance and data ***,as the scale of clusters grows,the server-level fail-slow problem is becoming increasingly frequent,which can create long tail *** influence of long tail latency is further amplified in EC-based systems due to the synchronous nature of multiple EC *** this paper,we propose an EC-enabled in-memory storage system called ShortTail,which can achieve consistent performance and low latency for both reads and ***,ShortTail uses a lightweight request monitor to track the performance of each memory node and identify any fail-slow ***,ShortTail selectively performs degraded reads and redirected writes to avoid accessing fail-slow ***,ShortTail posts an adaptive write strategy to reduce write amplification of small *** implement ShortTail on top of Memcached and compare it with two baseline *** experimental results show that ShortTail can reduce the P99 tail latency by up to 63.77%;it also brings significant improvements in the median latency and average latency.

关键词： Erasure code In-memory system Node fail-slow Small write Tail latency

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