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24th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2024

作者： Lukač, Niko Kavran, Domen Ovčjak, Monika Ferk Bizjak, Marko Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

ISBN: (纸本)9798350353433

This paper presents a novel method for optimizing meteorological sensor placement over large geographic areas, leveraging genetic algorithm (GA) and classified Light Detection And Ranging (LiDAR) data. The airborne LiDAR data provides detailed surface information necessary for finding the optimal locations for sensor placement. By considering semantic segmentation of surface, relative Sky View Factor (SVF), and surface slope, the method significantly reduces the search space to find suitable locations for sensors placement. The considered GA then uniformly and optimally positions a user-specified number of sensors, guided by optimization constraints within the fitness function. This approach enhances dense meteorological data collection efficiency, ensuring better data quality and coverage in areas such as weather forecasting, climate studies, and pollution monitoring. It reduces redundancy and deployment costs while maximizing sensors exposure to environmental physical processes such as solar radiation and wind. © 2024 IEEE.

关键词： Semantic Segmentation

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Towards Sustainable and Efficient Rapid Prototyping of Capacitive Sensor Arrays

Towards Sustainable and Efficient Rapid Prototyping of Capac...

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2024 IEEE Green Technologies Conference, GreenTech 2024

作者： Rathbun, Russell Nelson, Alexander University of Arkansas Department of Electrical Engineering and Computer Science United States

ISBN: (纸本)9798350308587

Capacitive sensors are common ubiquitous sensing devices that permeate through many industries. The overwhelming majority of touchscreens use capacitive sensor arrays for the precise detection of touch. Many MEMS sensors use capacitance as the variable that is manipulated to detect the sensed parameter (e.g. accelerometers). However, the use of non-rigid, ambient, or custom capacitive sensor arrays has not seen the same level of adoption. CSAs (capacative sensor arrays) can be made from a wide array of materials and techniques-including 3d printing and laser ablation-to rapidly create CSAs that can be custom fit to enable proximity, force, and touch detection. This work investigates some of these materials and how they can be fabricated in a laboratory environment with a single robotic arm. © 2024 IEEE.

关键词： Capacitive sensors

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Event-Content-Oriented Dialogue Generation in Short Video

Event-Content-Oriented Dialogue Generation in Short Video

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2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024

作者： Cheng, Fenghua Li, Xue Huang, Zi Wang, Jinxiang Wang, Sen School of Electrical Engineering and Computer Science The University of Queensland Brisbane Australia

ISBN: (纸本)9798891761148

Understanding complex events from different modalities, associating to external knowledge and generating response in a clear point of view are still unexplored in today’s multi-modal dialogue research. The great challenges include 1) lack of event-based multi-modal dialogue dataset;2) understanding of complex events and 3) heterogeneity gap between different modalities. To overcome these challenges, we firstly introduce a novel event-oriented video-dialogue dataset called SportsVD (Sports-domain Video-dialogue Dataset). To our best knowledge, SportsVD is the first dataset that consists of complex events videos and opinion-based conversations with regards to contents in these events. Meanwhile, we present multi-modal dialogue generation method VCD (Video Commentary Dialogue) to generate human-like response according to event contents in the video and related external knowledge. In contrast to previous video-based dialogue generation, we focus on opinion-based response and the understanding of longer and more complex event contents. We evaluate VCD’s performance on SportsVD and other baselines under several automatic metrics. Experiments demonstrate VCD can outperform among other state-of-the-art baselines. Our work is available at https://***/Cheng-Fenghua/SportsVD. ©2024 Association for Computational Linguistics.

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Deployment of a security solution for cloud 15

Deployment of a security solution for cloud

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15th International Conference on Communications, COMM 2024

作者： Chis, Alexandru Balan, Titus-Constantin Cotfas, Petru-Adrian Cotfas, Daniel-Tudor Transylvania University Faculty Electrical Engineering and Computer Science Braov Romania

ISBN: (纸本)9798350355956

Cloud computing offers benefits in the digital world, such as scalability and agility, but securing these environments requires a high level of knowledge and have the potential for misconfiguration. While cloud platforms offer user-friendly interfaces, ensuring robust cloud security requires a balance between user experience and technical expertise to avoid security vulnerabilities that arise from misconfiguration. This paper proposes a fundamental framework for improving the security posture while using the cloud. The framework uses a configurable building block approach to simplify migration and development efforts for cloud-based solutions. The framework focuses on Amazon Web Services (AWS) and automates deployment with infrastructure-as-code (IaC) principles, minimizing the need for deep infrastructure knowledge. This allows users to develop and deploy secure cloud solutions with built-in security tools and monitoring, minimizing the need for extensive infrastructure knowledge on the user's part. This framework aims to provide a hardened environment suited for cloud appropriation. The framework is leveraging security best practices and monitoring tools, harnessing a more secure approach to the use of public cloud environments. © 2024 IEEE.

关键词： Cloud security

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A Power Balanced Against Side Channel Attack SM4 Algorithm Based on RRAM/CMOS Hybrid Technology 9

A Power Balanced Against Side Channel Attack SM4 Algorithm B...

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9th International Conference on Integrated Circuits and Microsystems, ICICM 2024

作者： Wang, Pengju Zhang, Yuejun Wei, Hongshuai Zhang, Huihong Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China

ISBN: (纸本)9798331509453

The SM4 algorithm is now widely used to ensure the security of data transmission, but its physical implementation is still vulnerable to side channel attack. By studying the structure of SM4 algorithm, this paper proposes a scheme of SM4 algorithm against side-channel attack based on RRAM/CMOS hybrid power balancing. The scheme first studies the dynamic power balancing mechanism under the cooperative operation mode of RRAM cell and CMOS, and designs the complementary output RRAM/CMOS hybrid power balancing cell circuit by utilizing the RRAM programmable resistor states and the efficient control of CMOS logic gates;then, the leakage analysis reveals that there is a vulnerability of SM4 algorithm hardware implementation in the wheel output. To address this issue, the power balancing cell circuit is applied to the wheel output position of SM4 algorithm to decouple the correlation between power consumption and data in the output stage;finally, the power consumption curve is extracted by Spectre simulation under TSMC 65nm process and verified against correlation power analysis (CPA) attack. The experimental results demonstrate that, compared with the traditional implementation, the circuit proposed in this paper can still defend against CPA attack with 1200 power consumption curves, with more than two times higher hardware security than the traditional SM4 implementation. © 2024 IEEE.

关键词： CMOS integrated circuits

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Underwater image enhancement by maximum-likelihood based adaptive color correction and robust scattering removal

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Frontiers of computer science 2023年第2期17卷 209-223页

作者： Bo WANG Zitong KANG Pengwei DONG Fan WANG Peng MA Jiajing BAI Pengwei LIANG Chongyi LI School of Physics and Electronic-Electrical Engineering Ningxia UniversityYinchuan 750021China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore

Underwater images often exhibit severe color deviations and degraded visibility,which limits many practical applications in ocean *** extensive research has been conducted into underwater image enhancement,little of which demonstrates the significant robustness and generalization for diverse real-world underwater *** this paper,we propose an adaptive color correction algorithm based on the maximum likelihood estimation of Gaussian parameters,which effectively removes color casts of a variety of underwater images.A novel algorithm using weighted combination of gradient maps in HSV color space and absolute difference of intensity for accurate background light estimation is proposed,which circumvents the influence of white or bright regions that challenges existing physical model-based *** enhance contrast of resultant images,a piece-wise affine transform is applied to the transmission map estimated via background light ***,with the estimated background light and transmission map,the scene radiance is recovered by addressing an inverse problem of image formation *** experiments reveal that our results are characterized by natural appearance and genuine color,and our method achieves competitive performance with the state-of-the-art methods in terms of objective evaluation metrics,which further validates the better robustness and higher generalization ability of our enhancement model.

关键词： underwater image enhancement adaptive color correction background light estimation

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An Automated Approach to Discovering Software Refactorings by Comparing Successive Versions

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IEEE Transactions on Software engineering 2025年第5期51卷 1358-1380页

作者： Liu, Bo Liu, Hui Niu, Nan Zhang, Yuxia Li, Guangjie Jiang, He Jiang, Yanjie University of Cincinnati Department of Electrical Engineering and Computer Science CincinnatiOH United States National Innovation Institute of Defense Technology Beijing China School of Software Dalian University of Technology Dalian China Beijing Institute of Technology School of Computer Science and Technology Beijing China Peking University School of Computer Science Beijing China

Software developers and maintainers frequently conduct software refactorings to improve software quality. Identifying the conducted software refactorings may significantly facilitate the comprehension of software evolution, and thus facilitate software maintenance and evolution. Besides that, the identified refactorings are also valuable for data-driven approaches in software refactoring. To this end, researchers have proposed a few approaches to identifying software refactorings automatically. However, the performance (especially precision) of such approaches deserves substantial improvement. To this end, in this paper, we propose a novel refactoring detection approach, called REEXTRACTOR+. At the heart of REEXTRACTOR+ is a reference-based entity matching algorithm that matches coarse-grained code entities (e.g., classes and methods) between two successive versions, and a context-aware statement matching algorithm that matches statements within a pair of matched methods. We evaluated REEXTRACTOR+ on a benchmark consisting of 400 commits from 20 real-world projects. The evaluation results suggested that REEXTRACTOR+ significantly outperformed the state of the art in refactoring detection, reducing the number of false positives by 59.6% and improving recall by 19.2%. We also evaluated the performance of the proposed matching algorithms that serve as the cornerstone of refactoring detection. The evaluation results suggested that the proposed algorithms excel in matching code entities, substantially reducing the number of mistakes (false positives plus false negatives) by 67% compared to the state-of-the-art approaches. © 2025 IEEE.

关键词： Software quality

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RUL Estimation for Power Electronic Devices Using RNNs

RUL Estimation for Power Electronic Devices Using RNNs

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2024 Prognostics and System Health Management Conference, PHM 2024

作者： Cai, Congrui Lu, Zhonghai School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Embedded Systems Master Program Sweden School of Electrical Engineering and Computer Science Department of Electrical Engineering KTH Royal Institute of Technology Sweden

ISBN: (纸本)9798350360585

Recurrent Neural Networks (RNNs) are commonly used in data-driven approaches to estimate the Remaining Useful Lifetime (RUL) of power electronic devices. RNNs are preferred because their intrinsic feedback mechanisms are better suited to model time-series data. However, the impact of RNN complexity on estimation accuracy is rarely discussed in the literature. This issue is important because choosing a lower-complexity model that delivers the same or similar performance as a higher-complexity model can increase implementation efficiency. In the paper, we use three RNN models, namely, the vanilla version, LSTM (Long Short Term Memory) and GRU (Gated Recurrent Unit) to conduct RUL estimation for power electronic devices. We use two accelerated aging datasets, one dataset targeting the package failure of MOSFETs, and the other dataset targeting package failure of power diodes. Our study shows that a lower-complexity RNN does not necessarily deliver a lower performance. Similarly, a higher-complexity model does not assure a higher performance. As such, our work highlights the importance of selecting a proper neural network for RUL estimation not biased towards complex models. This is especially useful and important for implementing such RUL estimation techniques in embedded resource-constrained and speed-limited computins platforms. © 2024 IEEE.

关键词： Long short-term memory

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Real-Time Data Imputation for Low Inertia Nanogrid Digital Twins 10

Real-Time Data Imputation for Low Inertia Nanogrid Digital T...

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10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Fattahi, Javad University of Ottawa School of Electrical Engineering and Computer Science Ottawa Canada

ISBN: (纸本)9798350373011

We introduce data-driven, scalable digital twins (DTs) and real-time data imputation to improve inverter synchronization in low-inertia microgrids. The DTs act as cyber-physical replicas, enabling real-time monitoring and data-driven control. To address data acquisition inconsistencies, we implement real-time data imputation based on the rate of missing data in a rolling window. To enhance the data stream close to real-time, we employ a variety of data imputation techniques to fill missing values based on the rolling window model. The rolling windows continuously measure data size and the number of missing values, utilizing the most suitable imputation model to reduce computational latency. Numerical case studies validate the efficacy of this approach. © 2024 IEEE.

关键词： Data acquisition

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Latency Analysis of In-Vehicle Network for Advanced Driver Assistance System 100

Latency Analysis of In-Vehicle Network for Advanced Driver A...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Park, Hanyoung Cho, Minji Jang, Yongjae Choi, Ji-Woong Dept. of Electrical Engineering & Computer Science Daegu Korea Republic of

ISBN: (纸本)9798331517786

Considering the advancements in autonomous driving technologies, the necessity for an advanced driver assistance system (ADAS) to incorporate a multitude of sensors for enhanced precision has become paramount. Consequently, the increase of sensors correlates directly with the escalation of autonomous driving capabilities. However, this escalation causes a larger volume of data traffic and an increase in the latency within the in-vehicle network (IVN). As the IVN latency increases, the overall latency of ADAS from the sensor to the actuator increases. This increased latency can affect the safety of ADAS. Hence, latency analysis for various sensors is required. In this paper, we struct Ethernet-based zonal architecture considered for future automotive architecture and analyze the factor of end-to-end latency for the safety-related ADAS with multi-type sensors, including IVN latency. © 2024 IEEE.

关键词： Advanced driver assistance systems

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