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computer sciences, Engineering, and technology Innovation (ICoCSETI), International Conference on

作者： Aldiki Febriantono Haryono Soeparno Ford Lumban Gaol Yulyani Arifin Computer Science School of Computer Science Graduate Program Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331508616

ISBN: (纸本)9798331508623

Disease attacks have the potential to decrease apple productivity, particularly in Poncokusumo Village, Malang Regency. The manual process of disease identification requires a significant amount of time and specialized knowledge, which results in inefficiency and frequently blocks early treatment. The objective of this research is to create a precise deep learning model for the detection of diseases in apples in order to ensure that it functions effectively in situations that are real. To accomplish this objective, directly collected disease image data on fruits from apple fields in Poncokusumo Village. The EfficientNet model implements the CBAM attention mechanism. The EfficientNet B0 version was employed as the basis for the model for this work, with CBAM being implemented to improve feature extraction and identify infection spots within the image. Based on the research findings, the EfficientNet-CBAM model has an F1 score of 92% and an accuracy of 93.67%. The attention mechanism of the model is effective in identifying infected areas, enabling both quicker and more precise detection. This method has the potential to enhance the precision and efficacy of disease identification, as well as offer producers advantages by applying preventive measures earlier.

关键词： Deep learning Productivity Measurement Technological innovation Accuracy Attention mechanisms Pesticides Manuals Mobile applications Diseases

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Design of P Band Filter Antenna with High Out-of-Band Suppression

Design of P Band Filter Antenna with High Out-of-Band Suppre...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Dou, Jiangling Yuan, Yinsu Song, Jian Wang, Qingwang Shen, Tao Kunming University of Science and Technology School of Information Engineering and Automation Kunming650500 China Kunming University of Science and Technology Yunnan Key Laboratory of Computer Technologies Application Kunming650500 China Kunming University of Science and Technology Graduate School Kunming650500 China

ISBN: (纸本)9798350375909

P-band antennas offer tremendous potential in various fields, including remote sensing, communication, and radar applications. However, It is crucial to enhance their effectiveness in these domains that the current challenges in the P-band, particularly wide bandwidth and exceptional out-of-band suppression be achieved. This paper aims to introduce an efficient design scheme for a high-efficiency, high out-of-band suppression P-band filter antenna. The antenna structure comprises a Y-shaped feeding network, upper and lower parallel dielectric plates, a vertical dielectric plate, a central metal plate, and a pair of microstrip patches. The bottom feeding network employs a Y-shaped feeding network. The coupling of the antenna was effectively controlled and the good bandwidth and impedance matching have been achieved. In order to achieve a wider bandwidth and lower return loss for the antenna, slotting technology was employed on the semi-circular radiation patch. The introduction of a vertical metal plate enhances filtering performance of antenna. Additionally, there are radiation zeros at 0.68 GHz and 1.43 GHz, high-frequency selectivity is imparted and signal reflection losses are effectively reduced. Key performance indicators include a filter antenna center frequency of 0.75 GHz, a -10 dB impedance bandwidth of 32.9% (0.89 GHz-1.24 GHz). In the upper stopband (0.5 GHz-0.8 GHz), the suppression level exceeds 20 dB, while in the lower stopband (1.1 GHz-1.8 GHz), suppression level exceeds 15 dB. Significant suppression characteristics are observed in the 0.5 GHz-0.8 GHz and 1.1 GHz-1.8 GHz frequency ranges. Design elements such as the semi-circular radiating patch, slotting technology, and rectangular slots on the substrate have been employed in the antenna. The suppression level, frequency selectivity had been enhance of antenna. Simulation results indicate a gain of 7.06 dB, overall efficiency beyond 95%, co-pol superior to cross-pol by more than 35 dB, and antenna

关键词： Slotting

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Fabrication of SiC particle dispersed AZ91D magnesium alloy composite by injection molding method and their properties

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Keikinzoku/Journal of Japan Institute of Light Metals 2024年第3期74卷 141-146页

作者： Hideshima, Yasutoshi Maeda, Fumiya Fukuta, Tadao Ozaki, Koichi Graduate School of Computer Science and Systems Engineering Okayama Prefectural University 111 Kuboki Okayama Soja-shi719-1197 Japan Process Technology Development Department Technology Development Division Seiko Epson Co. Suwa-shi Nagano Japan Faculty of Computer Science and Systems Engineering Okayama Prefectural University Okayama Soja-shi Japan

AZ91D magnesium alloy chips were coated with SiC powder using a binder, and injection molding was attempted using SiC powder coated magnesium chips as raw material. The metallurgical structure of the injection molded products showed uniform dispersion of SiC particles in the matrix, and there were no significant defects such as voids at the SiC particle-matrix interface. The hardness and 0.2% proof stress of the injection molded products tended to improve with increasing SiC content, while the elongation decreased with increasing SiC content. The Young's modulus of the injection molded products improved with increasing SiC content. It was confirmed that the specific bending rigidity of the injection molded products also improves due to the significant increase in the Young's modulus, although the addition of SiC leads to an increase in density. © 2024 The Japan Institute of Light Metals.

关键词： Silicon carbide

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Enhanced Efficiency in Fog Computing: A Fuzzy Data-Driven Machine Selection Strategy

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International Journal of Fuzzy Systems 2024年第1期26卷 368-389页

作者： Zavieh, Hadi Javadpour, Amir Ja’fari, Forough Sangaiah, Arun Kumar Slowik, Adam School of Economics and Statistics Guangzhou University Guangzhou510006 China Harbin Institute of Technology Shenzhen China Department of Computer Engineering Sharif University of Technology Tehran Iran International Graduate School of AI National Yunlin University of Science and Technology Douliu Taiwan Department of Electronics and Computer Science Koszalin University of Technology Koszalin Poland ADiT-Lab Electrotechnics and Telecommunications Department Instituto Politécnico de Viana do Castelo Porto4900–347 Portugal Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

With the rapid proliferation of IoT and Cloud networks and the corresponding number of devices, handling incoming requests has become a significant challenge. Task scheduling problems have emerged as a common concern, necessitating the exploration of new methods for request management. This paper proposes a novel approach called the Fuzzy Inverse Markov Data Envelopment Analysis Process (FIMDEAP). Our method combines the strengths of the Fuzzy Inverse Data Envelopment Analysis (FIDEA) and Fuzzy Markov Decision Process (FMDP) techniques to enable the efficient selection of physical and virtual machines while operating in a fuzzy mode. We represent data as triangular fuzzy numbers and employ the alpha-cut method to solve the proposed models. The paper provides a mathematical optimization model for the proposed method and presents a numerical example for illustration. Furthermore, we evaluate the performance of our method in a cloud environment through simulations. The results demonstrate that our approach outperforms existing methods, namely PSO + ACO and FBPSO + FBACO, in terms of key metrics, including energy consumption, execution cost, response time, gain of cost, and makespan. © The Author(s) 2023.

关键词： Markov processes

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Shortest Cover After Edit 35

Shortest Cover After Edit

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35th Annual Symposium on Combinatorial Pattern Matching, CPM 2024

作者： Mitani, Kazuki Mieno, Takuya Seto, Kazuhisa Horiyama, Takashi Graduate School of Information Science and Technology Hokkaido University Japan Department of Computer and Network Engineering University of Electro-Communications Tokyo Japan Faculty of Information Science and Technology Hokkaido University Japan

ISBN: (纸本)9783959773263

This paper investigates the (quasi-)periodicity of a string when the string is edited. A string C is called a cover (as known as a quasi-period) of a string T if each character of T lies within some occurrence of C. By definition, a cover of T must be a border of T;that is, it occurs both as a prefix and as a suffix of T. In this paper, we focus on the changes in the longest border and the shortest cover of a string when the string is edited only once. We propose a data structure of size O(n) that computes the longest border and the shortest cover of the string in O(log n) time after an edit operation (either insertion, deletion, or substitution of some string) is applied to the input string T of length n, where is the length of the string being inserted or substituted. The data structure can be constructed in O(n) time given string T. © Kazuki Mitani, Takuya Mieno, Kazuhisa Seto, and Takashi Horiyama.

关键词： Data structures

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Asynchronous Remote Distributed Key Generation Method for Securing User Data in the Metaverse

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IEEE Transactions on Consumer Electronics 2024年第1期71卷 1-1页

作者： Wang, Yintong Fang, Guowei Huang, Shitao Lian, Zhuotao Ren, Yongjun School of Information Engineering Nanjing Xiaozhuang University Nanjing Jiangsu China School of Computer Engineering Research Center of Digital Forensics of Ministry of Education Nanjing University of Information Science and Technology Nanjing Jiangsu China JSPS International Research Fellow Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka Japan

The rapid development of consumer electronics technology has greatly promoted the progress of the metaverse. However, as a digitized virtual environment, the metaverse imposes high demands on the security of user identities and assets. In this context, asynchronous remote distributed key generation has become one of the key technologies to ensure the security of the metaverse. Unlike traditional key generation methods, the asynchronous nature makes the distributed key generation process more flexible, helping to address the dynamic and heterogeneous network environment within the metaverse. This paper proposes an asynchronous remote key generation method. This method employs public-key cryptography and basic asynchronous primitives to accomplish remote key generation and exchange through encryption and decryption operations between different nodes. In comparison to traditional methods, the asynchronous remote key generation approach provides higher security and reliability, while also showcasing increased efficiency and flexibility. IEEE

关键词： Authentication Protocol

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Integrating Local and Global Frequency Attention for Multiteacher Knowledge Distillation 1

Integrating Local and Global Frequency Attention for Multite...

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1st Asian Conference on Communication and Networks, ASIANComNet 2024

作者： Yao, Zhidi Cheng, Xin Zhang, Zhiqiang Du, Mengxin Yu, Wenxin Hosei University Graduate School of Science and Engineering Tokyo Japan Southwest University of Science and Technology School of Computer Science and Technology Mianyang China Instrumentation Technology and Economy Institute Beijing China Sichuan Civil-military Integration Institute Fujiang Laboratory Mianyang China

ISBN: (纸本)9798350367003

Knowledge distillation (KD), particularly in multiteacher settings, presents significant challenges in effectively transferring knowledge from multiple complex models to a more compact student model. Traditional approaches often fall short in capturing the full spectrum of useful information. In this paper, we propose a novel method that integrates local and global frequency attention mechanisms to enhance the multiteacher KD process. By simultaneously addressing both fine-grained local details and broad global patterns, our approach improves the student model's ability to assimilate and generalize from the diverse knowledge provided by multiple teachers. Experimental evaluations on standard benchmarks demonstrate that our method consistently outperforms existing multiteacher distillation techniques, achieving superior accuracy and robustness. Our results suggest that incorporating frequency-based attention mechanisms can significantly advance the effectiveness of KD in multiteacher scenarios, offering new insights and techniques for model compression and transfer learning. © 2024 IEEE.

关键词： Deep learning

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Deterministic inverse design of spectral line shapes using thin-film-based Fano resonators

Deterministic inverse design of spectral line shapes using t...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Yoo, Young Jin Ko, Joo Hwan Park, Jin-Hwi Jeon, Hae-Gon Song, Young Min School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju61005 Korea Republic of AI Graduate School Gwangju Institute of Science and Technology Gwangju61005 Korea Republic of

We present an inverse design approach for spectral line shapes using thin-film-based Fano resonators. Stochastic gradient descent (SGD)-based learning provides CMOS-compatible process parameters for spectral line shap... 详细信息

ISBN: (纸本)9781957171258

关键词： Resonators

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Learning-based Dynamic 3D Placement of Multiple Aerial Base Stations with Heterogeneous Traffic

Learning-based Dynamic 3D Placement of Multiple Aerial Base ...

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2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023

作者： Hoang, Linh T. Nguyen, Chuyen T. Le, Hoang D. Pham, Anh T. University of Aizu Graduate School of Computer Science and Engineering Aizuwakamatsu Japan Hanoi University of Science and Technology School of Electrical and Electronic Engineering Viet Nam

ISBN: (纸本)9798350316803

Deployment of Unmanned Aerial Vehicles (UAVs) as aerial base stations (ABSs) has emerged as a promising solution to enable high-quality services in next-generation mobile networks. One key challenge is how to place the UAV-mounted Base Stations (UAV-BSs) dynamically over time in response to changes in network situations. Conventional methods usually utilize location information to place the UAV-BSs at the centroid of all users to maximize the average downlink rate. This approach might become ineffective when the traffic demand is highly heterogeneous among users, causing the spatial distribution of traffic demand not to correlate with the distribution of users. This paper considers a time-evolving multi-user multi-server system with heterogeneous traffic, where a group of UAV-BSs provides different services to ground mobile users. We formulate a long-term maximization problem of the user's time-average download speed with the queue stability constraint under random movements of ground users. An actor-critic framework of deep reinforcement learning is proposed to position multiple UAV-BSs efficiently based on a comprehensive view of the network situation, including spatial statistics of the users, traffic demand, and the network's downlink rate. The framework's core module is a deep neural network (DNN) that obtains the UAV's location and three encoded heatmaps of network statistics to predict the optimal movement for UAV-BSs. Extensive simulations demonstrate the guaranteed convergence and great potential of the proposed method regarding the backlog queue length and the average download speed of users. © 2023 IEEE.

关键词： Base stations

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An asynchronous P system for solving the minimum Steiner tree with branch and bound 11

An asynchronous P system for solving the minimum Steiner tre...

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11th International Symposium on Computing and Networking Workshops, CANDARW 2023

作者： Ueno, Reo Fujiwara, Akihiro Kyushu Institute of Technology Iizuka Graduate School of Computer Science and Systems Engineering Fukuoka820-8502 Japan

ISBN: (纸本)9798350306941

Membrane computing, which is also known as a P system, is a computational model inspired by the activity of living cells. Several P systems, which work in a polynomial number of steps, have been proposed for solving computationally hard problems. However, most of the proposed algorithms use an exponential number of membranes, and reduction of the number of membranes must be considered in order to make a P system a more realistic *** the present paper, we propose an asynchronous P system using branch and bound for solving the minimum Steiner tree. The proposed P system solves the minimum Steiner tree with n vertices and m edges in O(n2) parallel steps or O(2mn2) sequential *** evaluate the number of membranes used in the proposed P system using experimental simulations. Our experimental results show validity and efficiency of the proposed P system. © 2023 IEEE.

关键词： Membranes

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