Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences最新文献_第4页

A BDD-Based Approach to Finite-Time Control of Boolean Networks 基于bdd的布尔网络有限时间控制方法

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023map0006

Fuma MOTOYAMA, Koichi KOBAYASHI, Yuh YAMASHITA

引用次数: 0

Analysis of blood cell image recognition methods based on improved CNN and Vision Transformer 基于改进CNN和Vision Transformer的血细胞图像识别方法分析

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023eap1056

Pingping WANG, Xinyi ZHANG, Yuyan ZHAO, Yueti LI, Kaisheng XU, Shuaiyin ZHAO

{"title":"Analysis of blood cell image recognition methods based on improved CNN and Vision Transformer","authors":"Pingping WANG, Xinyi ZHANG, Yuyan ZHAO, Yueti LI, Kaisheng XU, Shuaiyin ZHAO","doi":"10.1587/transfun.2023eap1056","DOIUrl":"https://doi.org/10.1587/transfun.2023eap1056","url":null,"abstract":"Leukemia is a common and highly dangerous blood disease that requires early detection and treatment. Currently, the diagnosis of leukemia types mainly relies on the pathologist's morphological examination of blood cell images, which is a tedious and time-consuming process, and the diagnosis results are highly subjective and prone to misdiagnosis and missed diagnosis. This research suggests a blood cell image recognition technique based on an enhanced Vision Transformer to address these problems. Firstly, this paper incorporate convolutions with token embedding to replace the positional encoding which represent coarse spatial information. Then based on the Transformer's self-attention mechanism, this paper proposes a sparse attention module that can select identifying regions in the image, further enhancing the model's fine-grained feature expression capability. Finally, this paper uses a contrastive loss function to further increase the intra-class consistency and inter-class difference of classification features. According to experimental results, The model in this study has an identification accuracy of 92.49% on the Munich single-cell morphological dataset, which is an improvement of 1.41% over the baseline. And comparing with sota Swin transformer, this method still get greater performance. So our method has the potential to provide reference for clinical diagnosis by physicians.","PeriodicalId":55003,"journal":{"name":"Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135442907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extension of Counting LTL and Its Application to a Path Planning Problem for Heterogeneous Multi-Robot Systems 计数LTL的扩展及其在异构多机器人系统路径规划问题中的应用

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023mai0001

Kotaro NAGAE, Toshimitsu USHIO

引用次数: 0

Dual-path convolutional neural network based on band interaction block for acoustic scene classification 基于波段交互块的双路径卷积神经网络声学场景分类

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023eal2056

Pengxu JIANG, Yang YANG, Yue XIE, Cairong ZOU, Qingyun WANG

{"title":"Dual-path convolutional neural network based on band interaction block for acoustic scene classification","authors":"Pengxu JIANG, Yang YANG, Yue XIE, Cairong ZOU, Qingyun WANG","doi":"10.1587/transfun.2023eal2056","DOIUrl":"https://doi.org/10.1587/transfun.2023eal2056","url":null,"abstract":"Convolutional neural network (CNN) is widely used in acoustic scene classification (ASC) tasks. In most cases, local convolution is utilized to gather time-frequency information between spectrum nodes. It is challenging to adequately express the non-local link between frequency domains in a finite convolution region. In this paper, we propose a dual-path convolutional neural network based on band interaction block (DCNN-bi) for ASC, with mel-spectrogram as the model's input. We build two parallel CNN paths to learn the high-frequency and low-frequency components of the input feature. Additionally, we have created three band interaction blocks (bi-blocks) to explore the pertinent nodes between various frequency bands, which are connected between two paths. Combining the time-frequency information from two paths, the bi-blocks with three distinct designs acquire non-local information and send it back to the respective paths. The experimental results indicate that the utilization of the bi-block has the potential to improve the initial performance of the CNN substantially. Specifically, when applied to the DCASE 2018 and DCASE 2020 datasets, the CNN exhibited performance improvements of 1.79% and 3.06%, respectively.","PeriodicalId":55003,"journal":{"name":"Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135911479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designated Verifier Signature with Claimability 指定验证人签名与索赔

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023cip0016

Kyosuke YAMASHITA, Keisuke HARA, Yohei WATANABE, Naoto YANAI, Junji SHIKATA

引用次数: 0

Batch Updating of a Posterior Tree Distribution over a Meta-Tree 元树上后验树分布的批量更新

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023tal0003

Yuta NAKAHARA, Toshiyasu MATSUSHIMA

引用次数: 0

Constraints and Evaluations on Signature Transmission Interval for Aggregate Signatures with Interactive Tracing Functionality 具有交互跟踪功能的聚合签名传输间隔的约束与评估

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023ssp0002

Ryu ISHII, Kyosuke YAMASHITA, Zihao SONG, Yusuke SAKAI, Tadanori TERUYA, Takahiro MATSUDA, Goichiro HANAOKA, Kanta MATSUURA, Tsutomu MATSUMOTO

引用次数: 0

Joint User Grouping and Resource Allocation for NOMA Enhanced D2D Communications 面向NOMA增强D2D通信的联合用户分组和资源分配

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023eap1086

Jin XIE, Fangmin XU

{"title":"Joint User Grouping and Resource Allocation for NOMA Enhanced D2D Communications","authors":"Jin XIE, Fangmin XU","doi":"10.1587/transfun.2023eap1086","DOIUrl":"https://doi.org/10.1587/transfun.2023eap1086","url":null,"abstract":"To mitigate the interference caused by frequency reuse between inter-layer and intra-layer users for Non-Orthogonal Multiple Access (NOMA) based device-to-device (D2D) communication underlaying cellular systems, this paper proposes a joint optimization strategy that combines user grouping and resource allocation. Specifically, the optimization problem is formulated to maximize the sum rate while ensuring the minimum rate of cellular users, considering three optimization parameters: user grouping, sub channel allocation and power allocation. However, this problem is a mixed integer nonlinear programming (MINLP) problem and is hard to solve directly. To address this issue, we divide the problem into two sub-problems: user grouping and resource allocation. First, we classify D2D users into D2D pairs or D2D NOMA groups based on the greedy algorithm. Then, in terms of resource allocation, we allocate the sub-channel to D2D users by swap matching algorithm to reduce the co-channel interference, and optimize the transmission power of D2D by the local search algorithm. Simulation results show that, compared to other schemes, the proposed algorithm significantly improves the system sum rate and spectral utilization.","PeriodicalId":55003,"journal":{"name":"Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance comparison of the two reconstruction methods for stabilizer-based quantum secret sharing 基于稳定子的量子秘密共享重构方法的性能比较

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023tal0001

Shogo CHIWAKI, Ryutaroh MATSUMOTO

引用次数: 0

An Adaptively Biased OFDM Based on Hartley Transform for Visible Light Communication Systems 基于Hartley变换的自适应偏置OFDM可见光通信系统

4区计算机科学

Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences Pub Date : 2023-01-01 DOI: 10.1587/transfun.2023eal2059

Menglong WU, Yongfa XIE, Yongchao SHI, Jianwen ZHANG, Tianao YAO, Wenkai LIU

{"title":"An Adaptively Biased OFDM Based on Hartley Transform for Visible Light Communication Systems","authors":"Menglong WU, Yongfa XIE, Yongchao SHI, Jianwen ZHANG, Tianao YAO, Wenkai LIU","doi":"10.1587/transfun.2023eal2059","DOIUrl":"https://doi.org/10.1587/transfun.2023eal2059","url":null,"abstract":"Direct-current biased optical orthogonal frequency division multiplexing (DCO-OFDM) converts bipolar OFDM signals into unipolar non-negative signals by introducing a high DC bias, which satisfies the requirement that the signal transmitted by intensity modulated/direct detection (IM/DD) must be positive. However, the high DC bias results in low power efficiency of DCO-OFDM. An adaptively biased optical OFDM was proposed, which could be designed with different biases according to the signal amplitude to improve power efficiency in this letter. The adaptive bias does not need to be taken off deliberately at the receiver, and the interference caused by the adaptive bias will only be placed on the reserved subcarriers, which will not affect the effective information. Moreover, the proposed OFDM uses Hartley transform instead of Fourier transform used in conventional optical OFDM, which makes this OFDM have low computational complexity and high spectral efficiency. The simulation results show that the normalized optical bit energy to noise power ratio (Eb(opt)/N0) required by the proposed OFDM at the bit error rate (BER) of 10-3 is, on average, 7.5 dB and 3.4 dB lower than that of DCO-OFDM and superimposed asymmetrically clipped optical OFDM (ACO-OFDM), respectively.","PeriodicalId":55003,"journal":{"name":"Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0