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A Novel Transformer Less Ultra Gain DC-DC Converter for Renewable Micro Energy Sources 用于可再生微型能源的新型无变压器超增益 DC-DC 转换器
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620415
Manikanta Kuraganti;Ramulu Chinthamalla
This article proposes a novel Ultra Gain Cubic (UGC) DC-DC converter for integrating PV and Fuel cell into the grid. The proposed UGC has 12 components in total, including asingle switch. The steady-state operation of the converter in both modes were explained and necessary equations were derived. The impact of parasitic elements on the UGCs DC-voltage gain is investigated and finally the stability of the UGC converter is verified through state space averaging technique. Optimized number of components, Ultra voltage gain, input and output terminals are connected to same ground, Single switch, input current continuous are the key aspects of the UGC converter. A 300W prototype with a 325V output voltage is tested and validated using hardware results.
本文提出了一种新型超增益立方(UGC)直流-直流转换器,用于将光伏和燃料电池并入电网。拟议的 UGC 共有 12 个组件,包括一个开关。文章解释了两种模式下转换器的稳态运行,并推导出必要的方程式。研究了寄生元件对 UGC 直流电压增益的影响,最后通过状态空间平均技术验证了 UGC 转换器的稳定性。优化元件数量、超电压增益、输入和输出端连接到同一地线、单开关、输入电流连续是 UGC 转换器的主要方面。利用硬件结果对输出电压为 325V 的 300W 原型进行了测试和验证。
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引用次数: 0
Table of Contents August 2024 目录 2024 年 8 月
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620385
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引用次数: 0
CPP-UNet: Combined Pyramid Pooling Modules in the U-Net Network for Kidney, Tumor and Cyst Segmentation CPP-UNet:用于肾脏、肿瘤和囊肿分割的 U-Net 网络中的组合金字塔池模块
IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1109/TLA.2024.10620387
Caio Eduardo Falcão Matos;Geraldo Braz Junior;João Dallyson Sousa de Almeida;Anselmo Cardoso de Paiva
Renal carcinoma stands prominently as a significant contributor to global cancer-related mortality rates, highlighting the critical importance of early detection and diagnosis in the management of this ailment. Moreover, the rising incidence of kidney tumors poses a challenge in differentiating between malignant and benign lesions using radiographic methods. Therefore, we present CPP-UNet, an innovative convolutional neural network-based architecture designed for the segmentation of renal structures, including the kidneys themselves and renal masses (cysts and tumors), in a computed tomography (CT) scan. Particularly, we investigate the fusion of the Pyramid Pooling Module (PPM) and Atrous Spatial Pyramid Pooling (ASPP) for improving the UNet network by integrating contextual information across multiple scales. Our proposed method yielded promising outcomes in the Kidney and Kidney Tumor Segmentation challenge (KiTS21 and KiTS23) datasets, exhibiting Dice indices of 93.51% and 92.84% for Kidneys and Masses, 90.33% and 92.08% for Renal Masses, and 85.69% and 88.17% for Tumors, respectively.
肾癌是导致全球癌症相关死亡率的一个重要因素,这凸显了早期检测和诊断在治疗这一疾病方面的极端重要性。此外,肾脏肿瘤发病率的不断上升也给使用放射学方法区分恶性和良性病变带来了挑战。因此,我们提出了 CPP-UNet,这是一种基于卷积神经网络的创新架构,设计用于分割计算机断层扫描(CT)中的肾脏结构,包括肾脏本身和肾脏肿块(囊肿和肿瘤)。特别是,我们研究了金字塔汇集模块(PPM)和阿特柔斯空间金字塔汇集(ASPP)的融合,通过整合跨多个尺度的上下文信息来改进 UNet 网络。我们提出的方法在肾脏和肾脏肿瘤分割挑战赛(KiTS21 和 KiTS23)数据集中取得了可喜的成果,肾脏和肿块的 Dice 指数分别为 93.51% 和 92.84%,肾肿块的 Dice 指数分别为 90.33% 和 92.08%,肿瘤的 Dice 指数分别为 85.69% 和 88.17%。
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引用次数: 0
Exploring COVID-19 Trends in Mexico during the Winter Season with Explainable Artificial Intelligence (XAI) 利用可解释人工智能(XAI)探索墨西哥冬季的 COVID-19 趋势
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562257
Angélica Guzmán-Ponce;Rosa María Valdovinos-Rosas;Jacobo Leonardo González-Ruíz;Iván Franciso-Valencia;J. Raymundo Marcial-Romero
COVID-19 has become the most significant pandemic in recent years. Today, Mexico has recorded millions of infections and deaths since the pandemic started. Around the world, machine learning methods have been used to understand, predict or develop strategies to manage the virus and the pandemic. Although algorithms provide good results, it is necessary to understand why a model makes specific predictions with a particular data set. To explain this question, we apply Explainable Artificial Intelligence (XAI) in this paper. With this, it is possible to understand the characteristics that influence the model decisions when denoting between deaths and survivors. As a case of study, the positive cases detected during the winter season of 2020-2021 and 2021-2022 were considered. In this season, respiratory diseases increased considerably, and in the study period, they influenced the increase in positive cases and the spread of COVID-19. Preliminary results suggest that age is essential when using a Random Forest model. Preliminary results suggest that age is essential when determining the prognosis of a patient infected by COVID-19 in winter seasons.
COVID-19 已成为近年来最重要的大流行病。如今,自大流行开始以来,墨西哥已记录了数百万例感染和死亡病例。世界各地都在使用机器学习方法来了解、预测或制定管理病毒和大流行病的策略。虽然算法提供了很好的结果,但有必要了解为什么一个模型会对特定的数据集做出特定的预测。为了解释这个问题,我们在本文中应用了可解释人工智能(XAI)。有了它,我们就有可能了解在表示死亡和幸存者时影响模型决策的特征。本文以 2020-2021 年和 2021-2022 年冬季发现的阳性病例为研究案例。在这个季节,呼吸道疾病显著增加,在研究期间,这些疾病影响了阳性病例的增加和 COVID-19 的传播。初步结果表明,使用随机森林模型时,年龄至关重要。初步结果表明,在冬季确定 COVID-19 感染者的预后时,年龄至关重要。
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引用次数: 0
Reclosers Modeling for Temporal Simulation of Distribution Networks in Simulink/ Matlab 在 Simulink/ Matlab 中为配电网络的时态仿真建立重组器模型
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562260
Ramayana Pereira;Rodrigo Cesa Dantas de Lima;Helon David M. Braz;Núbia S. Dantas Brito;Pedro Henrique Fernandes Monteiro;Jamile P. N. Amoah
Over the past few years, Brazils increasing dependence on electricity has caused a continuous growth in demand and, therefore, the need to guarantee long-term energy supply to costumers. Hence, studying the devices that are responsible ensuring this continuity is critical since the improper operation of this equipment can reduce the reliability of the electrical energy distribution system, therefore requiring detailed study that incorporates simulations, modeling, and analysis of response capacity in the face of real loads. Simulink/Matlab is one of the most widely used software programs in academia. However, it does not have readymade templates for protection system equipment such as relays, fuses, and reclosers. Herein, the aim is to model the digital recloser using the S-function block of Simulink/Matlab. The proposed model for the recloser follows the configurations required by Brazilian electricity distribution companies, i.e. four operations divided into fast and slow, the latter one being responsible for permanently opening the section of the system on fault. To validate the modeled device, the IEEE 34-bar system was used, in which several operational cases were considered. The results obtained show that the proposed digital recloser model performed successfully proved to be a promising proposal for protection studies of power distribution systems.
在过去几年中,巴西对电力的依赖性不断增加,导致需求持续增长,因此需要保证向用户长期供应能源。因此,对负责确保这种连续性的设备进行研究至关重要,因为这些设备的不正常运行会降低配电系统的可靠性,因此需要进行详细研究,包括模拟、建模和分析面对实际负荷时的响应能力。Simulink/Matlab 是学术界使用最广泛的软件程序之一。然而,它并不具备继电器、熔断器和重合器等保护系统设备的现成模板。本文旨在使用 Simulink/Matlab 的 S 函数块为数字重合器建模。所提议的重合器模型遵循巴西配电公司所要求的配置,即分为快速和慢速的四种操作,后一种操作负责永久性地打开发生故障的系统部分。为了验证建模设备,使用了 IEEE 34bar 系统,其中考虑了几种运行情况。结果表明,所提出的数字重合器模型已成功应用于配电系统的保护研究中,并被证明是一项很有前途的建议。
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引用次数: 0
Incremental Relaying with Partial Relay Selection for Enhancing the Performance of Underlay Cognitive NOMA Networks 利用部分中继选择的增量中继提高下层认知 NOMA 网络性能
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562255
Archana P;Harigovindan V P;Griffith Faustina G;Babu A V
In this paper, we consider an underlay cognitive non-orthogonal multiple access (CNOMA) network, where incremental relaying with partial relay selection (PRS) scheme (i.e., IRP scheme) is proposed for the secondary network. We derive analytical expressions for the outage probabilities of the secondary users (SUs) and the system throughput of the IRP-CNOMA network. The proposed approach is compared to conventional cooperative relaying-based CNOMA (CR-CNOMA) networks with PRS scheme (i.e., CRP-CNOMA) and random relay selection (RRS) scheme. The results show that the proposed scheme significantly lowers the outage probability of the SUs while improving the system throughput.
在本文中,我们考虑了一个底层认知非正交多址(CNOMA)网络,其中为二次网络提出了部分中继选择(PRS)增量中继方案(即 IRP 方案)。我们推导出 IRP-CNOMA 网络的二次用户(SU)中断概率和系统吞吐量的分析表达式。我们将提出的方法与采用 PRS 方案(即 CRP-CNOMA)和随机中继选择 (RRS) 方案的传统基于合作中继的 CNOMA(CR-CNOMA)网络进行了比较。结果表明,建议的方案大大降低了 SU 的中断概率,同时提高了系统吞吐量。
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引用次数: 0
Power System Stability Improvement Using STATCOM: New Practical Method for Placement and Sizing 使用 STATCOM 提高电力系统稳定性:新的实用布置和选型方法
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562256
Jimmy Cesar Gonzales Arispe;Jhoel Arroyo Flores
In Latin America, in recent years, several projects with FACTS equipment have been materialized to improve the stability of the power system. Among these, for example, use of SVC equipment in Peru to regulate voltage, and STATCOM in Colombia to support voltage and prevent collapse of electrical areas. Several variables influence the way a STATCOM operates, its size is an important factor, and also the electrical substation where it is installed; these two aspects, although they can be calculated separately, in the real time operation it is evident that their contributions can be optimized, considering them jointly. This article aims to show a new practical methodology to evaluate the location and size of a STATCOM through a sequence of calculations and the application of routine electrical studies executed by system operators, in order to improve voltage and/or angular stability of the units. As a case of practical application, the stability problems of the South Bolivian system were analyzed, as well as the installation of a STATCOM to improve the operational limitations.
近年来,拉丁美洲实施了多个使用 FACTS 设备的项目,以提高电力系统的稳定性。例如,秘鲁使用 SVC 设备来调节电压,哥伦比亚使用 STATCOM 来支持电压并防止电力区域崩溃。STATCOM 的运行方式受多个变量的影响,其大小是一个重要因素,安装 STATCOM 的变电站也是一个重要因素;这两个方面虽然可以单独计算,但在实时运行中,显然可以通过联合考虑来优化它们的贡献。本文旨在展示一种新的实用方法,通过一系列计算和系统运营商执行的常规电气研究的应用,评估 STATCOM 的位置和大小,以提高设备的电压和/或角度稳定性。作为实际应用案例,分析了南玻利维亚系统的稳定性问题,以及安装 STATCOM 以改善运行限制的问题。
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引用次数: 0
Power Quality Analysis of a Hybrid Microgrid based on Renewable Energy Sources 基于可再生能源的混合微电网的电能质量分析
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562258
Christian René Jiménez Román;Emmanuel Hernández-Mayoral
Today, and mainly in the academic environment, one of the fields of study that is receiving the most attention, in reference to electrical microgrids (MGs), is precisely how to integrate all the elements of the MGs to maintain a stable operation, resilient, reliable and quality. This can be achieved through power converters, which allow for the decentralization of electricity generation, but on the other hand, create the challenge of power quality. In this paper, a model of an MG based on the IEEE 14Bus distribution network is proposed for power quality studies when the MG operates in grid-connected mode. MG model is developed in the software MATLAB-Simulink and the results obtained are compared with the compatibility levels of the IEEE519 standard.
如今,主要是在学术环境中,关于微电网(MGs),最受关注的研究领域之一正是如何整合微电网的所有元素,以保持稳定运行、弹性、可靠和高质量。这可以通过电力转换器来实现,电力转换器可以实现发电的分散化,但另一方面也带来了电能质量的挑战。本文提出了一个基于 IEEE 14Bus 配电网络的 MG 模型,用于 MG 以并网模式运行时的电能质量研究。MG 模型是在 MATLAB-Simulink 软件中开发的,所获得的结果与 IEEE519 标准的兼容性水平进行了比较。
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引用次数: 0
Simplified SEP Approximations of Coherent Digital Modulation Schemes over alpha-kappa-mu Fading Channel α-kappa-mu衰减信道上相干数字调制方案的简化 SEP 近似值
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562262
Shreya Tated;Garv Anand;Dharmendra Sadhwani
In this paper, we propose novel, simplified yet tight approximations of the error probability expressions of numerous digital modulation schemes over a popular alpha-kappa-mu fading channel. With the help of a suitable approximation of the Gaussian Q-function and utilization of Taylor's series expansion, we facilitate the cumbersome integrals which play a key role in simplification of the performance evaluation metrics like symbol error probability (SEP) of various digital modulation schemes. This facilitates cost effective receiver's design making the overall system economically viable. We further illustrate the accuracy of the proposed SEP expressions with the help of the relative error. An insight on the truncation error (and its upper bound) is also highlighted in this paper. We also compute the relative error in the upper bound of the truncation error to further justify the accuracy of the proposed integrals. Moreover, the asymptotic expressions for the integrals are also provided which gives an idea regarding diversity order of the wireless communication systems for large signal to noise ratios.
在本文中,我们提出了在流行的阿尔法-卡帕-穆衰减信道上众多数字调制方案的误差概率表达式的新颖、简化但严密的近似值。借助高斯 Q 函数的适当近似和泰勒级数展开,我们简化了繁琐的积分,这对简化各种数字调制方案的符号误差概率 (SEP) 等性能评估指标起到了关键作用。这有助于设计具有成本效益的接收器,使整个系统具有经济可行性。我们借助相对误差进一步说明了所提出的 SEP 表达式的准确性。本文还重点介绍了截断误差(及其上限)。我们还计算了截断误差上限的相对误差,以进一步证明所提积分的准确性。此外,本文还提供了积分的渐近表达式,为大信噪比无线通信系统的分集阶提供了思路。
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引用次数: 0
Dual-View Fusion of Heterogeneous Information Network Embedding for Recommendation 为推荐而嵌入异构信息网络的双视图融合
IF 1.3 4区 工程技术 Q3 Computer Science Pub Date : 2024-06-18 DOI: 10.1109/TLA.2024.10562237
Jinlong Ma;Runfeng Wang
Heterogeneous Information Networks (HINs) contain rich semantic information due to their involvement of multiple types of nodes and edges. Heterogeneous network embedding is used to analyze HINs by embedding network information in low-dimensional node representations. However, existing heterogeneous embedding methods either ignore the implicit topological relationships between distant nodes or neglect nodes features and meta-paths information disparities, which reflects that extracting HIN embeddings from a single view may lead to incomplete information extraction. In order to make the information extraction more complete, we propose a dual-view fusion heterogeneous information network embedding method (DFHE) for recommendation tasks. Specifically, it extracts effective features from HINs from both the remote topology view and the semantic aggregation view: the remote topology view uses a meta-graph-guided random walk to capture the topological relationships between remote nodes and learns embeddings through a graph convolutional network (GCN) encoder, while the semantic aggregation view uses an attention mechanism to learn the importance of different meta-paths, node relationships, and aggregates the semantic information of each meta-path. Experimental results on two real-world network datasets demonstrate an enhancement in recommendation task performance under the application of DFHE, compared to the baseline. This improvement persists even when some meta-paths are deleted, thereby verifying the methods effectiveness.
异构信息网络(HIN)包含丰富的语义信息,因为它们涉及多种类型的节点和边。异构网络嵌入通过将网络信息嵌入到低维节点表示中来分析 HIN。然而,现有的异构嵌入方法要么忽略了远节点之间隐含的拓扑关系,要么忽略了节点特征和元路径信息的差异性,这反映出从单一视图提取 HIN 嵌入可能会导致信息提取不完整。为了使信息提取更加完整,我们提出了一种针对推荐任务的双视图融合异构信息网络嵌入方法(DFHE)。具体来说,它从远程拓扑视图和语义聚合视图中提取异构信息网络的有效特征:远程拓扑视图使用元图引导的随机漫步来捕捉远程节点之间的拓扑关系,并通过图卷积网络(GCN)编码器学习嵌入;而语义聚合视图则使用注意力机制来学习不同元路径、节点关系的重要性,并聚合每个元路径的语义信息。在两个真实世界网络数据集上的实验结果表明,与基线相比,应用 DFHE 后的推荐任务性能有所提高。即使删除了一些元路径,这种改进依然存在,从而验证了该方法的有效性。
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引用次数: 0
期刊
IEEE Latin America Transactions
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