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Optimized ROI Extraction and Pixel Reduction Methods for Kidney Abnormality Detection

Optimized ROI Extraction and Pixel Reduction Methods for Kid...

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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Hossain, Md Junayed Monir, Md Fahad Ahmed, Tarem Department of Computer Science & Engineering Bangladesh Virginia Polytechnic Institute and State University Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798331504847

A global public health concern, Chronic Kidney Disease causes renal failure, cardiovascular disease, and premature death. Given the frequency of kidney diseases and their significant impact on public health, detection of any abnormalities in the kidney is crucial. Effective patient treatment and medical care planning depend on the early and precise diagnosis of a variety of kidney abnormalities. Early detection enable treatments that enhance patient outcomes, slow the progression of disease, and lessen the strain on healthcare systems. In order to detect anomalies in kidney, we utilized the Region of Interest (ROI) and Pixel Reduction techniques separately in this work. We have applied the Bicubic Interpolation method to reduce the size of individual pixels in an image while preserving a significant data of the original image data. A novel hybrid strategy that aims to preserve diagnostic data while reducing computing complexity uses the original images for ROI extraction. The deep learning method is then independently trained and tested using the pixel-reduced and localized dataset. In order to categorize the images, we use Inception V3 and EfficientNet B7 as Deep Learning models. Using the ROI-extracted data, we were able to achieve approximately 99.75% accuracy with the EfficientNet B7 model. Moreover, the same algorithm and dataset were used to obtain 98.45%, 99.02%, and 98.78% Precision, Recall, and F1-score, respectively. This framework provides medical professionals with a helpful prognostic tool to early detect identify various forms of kidney abnormalities. © 2025 IEEE.

关键词： Surgery

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Design of a Low-Cost Vector Based Muometric Navigation System

Design of a Low-Cost Vector Based Muometric Navigation Syste...

引用

2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Lowy, Maxx A. Ullah, Muhammad Sana Florida Polytechnic University Department of Electrical and Computer Engineering Lakeland United States

ISBN: (纸本)9798331504847

This paper presents a low-cost vector based Muometric navigation system for precision location finding applications where GPS does not work. The proposed system obtains the amplitude information from a SiPM photodetector pulse using low-cost techniques. The system then obtains the location of the device using the data from a reference detector. © 2025 IEEE.

关键词： Global positioning system

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Nash Bargaining-Based Shared Energy Storage Joint Planning Strategy of Prosumers 7

Nash Bargaining-Based Shared Energy Storage Joint Planning S...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Zhang, Tianhan Zhang, Yihan Zhang, Wenjie Yang, Meng Lin, Zhenzhi Srinivasan, Dipti School of Electrical Engineering Zhejiang University Hangzhou China State Grid Henan Economic Research Institute Zhengzhou China The Hong Kong Polytechnic University Department of Electrical Engineering Hong Kong Hong Kong National University of Singapore Department of Electrical & Computer Engineering Singapore Singapore

ISBN: (纸本)9798350345094

Energy storage is widely used to help prosumers improve renewable energy consumption rates and reduce operation costs. However, the energy storage utilization rate typically exhibits low levels, thereby imposing significant investment risks on prosumers who undertake independent investment and utilization of energy storage. The sharing of energy storage among multiple prosumers introduces a novel approach for addressing the issue. Therefore, a shared energy storage (SES) joint planning strategy based on Nash bargaining theory is proposed for prosumers. First, the SES model among multiple prosumers is developed to characterize the energy interaction relationship between prosumers and SES. Then, the Nash bargaining theory is introduced to develop the SES joint planning model. On this basis, the original Nash bargaining-based model is transformed into two easier-to-solve sub-problems. Finally, case studies are carried out to validate the efficacy of the proposed SES model and the corresponding planning strategy. Simulation results show that the SES planning and cost distribution problems can be effectively addressed through the proposed planning strategy. In addition, prosumers can effectively reduce their costs by cooperating as an alliance to construct and utilize an SES jointly when compared with constructing energy storage independently. © 2023 IEEE.

关键词： Energy storage

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Mathematical Modeling of an OFDM Communication System with Efficient Digital Signal Processing 13

Mathematical Modeling of an OFDM Communication System with E...

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13th International Conference on Advanced computer Information Technologies, ACIT 2023

作者： Pyatin, Ilya Boiko, Juliy Eromenko, Oleksander Karpova, Lesya Polytechnic National University Khmelnytskyi Polytechnic Professional College by Lviv Department of Computer Engineering Khmelnytskyi Ukraine Khmelnytskyi National University Department of Telecommunications Media and Intelligent Technologies Khmelnytskyi Ukraine Khmelnytskyi National University Department of Physics and Electrical Engineering Khmelnytskyi Ukraine

The concept of Orthogonal Frequency-Division Multiplexing (OFDM) is a priority in wired and wireless information networks, mobile telecommunications of the 4th and 5th generations, modern digital television standards. Increasing the complexity of communication systems, expansion bandwidth requirements are important components of choosing the optimal characteristics signal converters for solving tasks and reducing the amount of Field-Programmable Gate Array (FPGA) hardware resources used. The article presents aspects mathematical modeling of a communication system with OFDM. The technique of modeling the main functional transformations in the Simulink environment and the study of the bit error rate is given. The researches of Hardware Description Language (HDL) implementation of Fast Fourier Transform (FFT) algorithms are presented. © 2023 IEEE.

关键词： Orthogonal frequency division multiplexing

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PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy 40

PrivShape: Extracting Shapes in Time Series under User-Level...

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40th IEEE International Conference on Data engineering, ICDE 2024

作者： Mao, Yulian Ye, Qingqing Hu, Haibo Wang, Qi Huang, Kai Southern University of Science and Technology Department of Computer Science and Engineering China The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology China School of Computer Science and Engineering Macau University of Science and Technology China

ISBN: (纸本)9798350317152

Time series have numerous applications in finance, healthcare, IoT, and smart city. In many of these applications, time series typically contain personal data, so privacy infringement may occur if they are released directly to the public. Recently, local differential privacy (LDP) has emerged as the state-of-the-art approach to protecting data privacy. However, existing works on LDP-based collections cannot preserve the shape of time series. A recent work, PatternLDP, attempts to address this problem, but it can only protect a finite group of elements in a time series due to ?-event level privacy guarantee. In this paper, we propose PrivShape, a trie-based mechanism under user-level LDP to protect all elements. PrivShape first transforms a time series to reduce its length, and then adopts trie-expansion and two-level refinement to improve utility. By extensive experiments on real-world datasets, we demonstrate that PrivShape outperforms PatternLDP when adapted for offline use, and can effectively extract frequent shapes. © 2024 IEEE.

关键词： Time series

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Comparative Performance of Object Detection Algorithms Under Low Illumination Conditions

Comparative Performance of Object Detection Algorithms Under...

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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Hossain, Md Junayed Rahman, Shoptorshi Monir, Md Fahad Ahmed, Tarem Department of Computer Science & Engineering Bangladesh Virginia Polytechnic Institute and State University Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798331504847

Real-time object detection is pivotal in various computer vision and robotics applications, such as security surveillance, autonomous navigation, and interactive systems. This study evaluates several object detection algorithms under low illumination conditions, comparing traditional methods including SIFT, SURF, ORB, BRISK, KAZE, and AKAZE with the deep learning model YOLOv5. To simulate these conditions, we utilized the COCO dataset and implemented a sequence of preprocessing procedures, such as adjusting the gamma correction throughout the dataset, introducing Gaussian noise, and equalizing the histogram to improve image contrast. Here, YOLOv5 exhibited superior performance, achieving a detection accuracy of 92.47% and a processing time of 45 milliseconds per image. Traditional algorithms like SURF and KAZE, although slower, demonstrated precision rates of 78.54% and 76.86%, respectively. YOLOv5 also identified the highest number of key points and matches. Our findings indicate that while YOLOv5 excels in real-time detection under low-light conditions, traditional methods are effective for specific tasks in resource-constrained environments. This study benchmarks these algorithms and proposes a hybrid approach to enhance real-time object detection systems under low illumination conditions. © 2025 IEEE.

关键词： Deep learning

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Protection Against Physical Attacks Through Self-Destructive Polymorphic Latch

Protection Against Physical Attacks Through Self-Destructive...

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IEEE International Conference on computer-Aided Design

作者： Andrew Cannon Tasnuva Farheen Sourav Roy Shahin Tajik Domenic Forte Department of Electrical and Computer Engineering University of Florida Department of Electrical and Computer Engineering Worcester Polytechnic Institute

On-chip assets, such as cryptographic keys, intermediate cipher computations, obfuscation keys, and hardware security primitive outputs, are usually stored in volatile memories, e.g., registers and SRAMs. Such volatile memories could be read out using active physical attacks, such laser-assisted side-channels. One way to protect assets stored in volatile memories can be the employment of sensors that detect active physical attacks and trigger complete zeroization of sensitive data. However, hundreds or thousands of clock cycles are often needed to accomplish this. Further, the sensing and self-destruction mechanisms are decoupled from the sensitive circuitry and can be disabled separately by an adversary. Moreover, defensive actions (e.g., zeroization) may be disabled by bringing the CPU/SoC into an inoperable condition, while registers may still hold their data, making them susceptible. This paper proposes a self-destructive latch to protect sensitive data from active side-channel attacks, which require supply voltage manipulations. Our proposed latch senses supply voltage interference required during such attacks, and reacts instantaneously by entering a forbidden data state, erasing its stored data. The design uses a NULL convention logic (NCL)-based polymorphic NOR/NAND gate, which changes its functionality with supply voltage. Our results show that the latch is stable across temperature and process variation reacting to attacks with 91% confidence. Even for the 9% where data is not destroyed, in 3.33 % of cases data flips its state which makes reliable extraction difficult for an attacker. The polymorphic latch is straightforward to implement due to its NCL implementation and the voltage for the self-destructive behavior is easily altered by resizing only two transistors. Further, this self-destructive behavior extends to registers which are built out of latches.

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SPRED: Spatially Distributed Laser Fault Injection Resilient Design

SPRED: Spatially Distributed Laser Fault Injection Resilient...

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IEEE International Symposium on Quality Electronic Design

作者： Tasnuva Farheen Shahin Tajik Domenic Forte Department of Electrical and Computer Engineering University of Florida Department of Electrical and Computer Engineering Worcester Polytechnic Institute

Computing systems’ hardware implementation is vulnerable to physical attacks. One of the most powerful tools in the arsenal of physical attacks is laser fault injection (LFI), which can successfully compromise an embedded cryptographic implementation even with a single fault. Several countermeasures have been proposed to prevent and detect LFI attacks. However, these schemes cannot protect a multi-spot laser fault injection setup alone. Vulnerabilities can be addressed in such circumstances using a multi-layer or defense-in-depth approach. Defense-in-depth refers to implementing several independent countermeasures within a device to provide aggregated protection against various attack vectors. In this paper, we introduce a multi-layer countermeasure where the proposed approach protects an LFI attack detector against multi-spot LFI attacks. We design and simulate a spatially distributed multi-gate driven design, called SPRED, to prevent single and multi-spot LFI attacks. Simulation results show that the distribution of gates in SPRED forces an attacker to use higher laser power and a thinner wafer to inject a fault.

关键词： Laser theory Semiconductor lasers Simulation Power lasers Detectors Logic gates Hardware

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Evaluating Vulnerability of Chiplet-Based Systems to Contactless Probing Techniques

Evaluating Vulnerability of Chiplet-Based Systems to Contact...

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IEEE International Test Conference

作者： Aleksa Deric Kyle Mitard Shahin Tajik Daniel Holcomb Department of Electrical and Computer Engineering University of Massachusetts Amherst Amherst Massachusetts Department of Electrical and Computer Engineering Worcester Polytechnic Institute Worcester Massachusetts

ISBN: (数字)9798331520137

ISBN: (纸本)9798331520144

Driven by a need for ever-increasing chip performance, a growing number of semiconductor companies are opting for all-inclusive System-on-Chip (SoC) architectures. Increasingly, the solution adopted to minimize the impact of silicon defects on manufacturing yield of larger dies has been to split a design into multiple smaller dies called chiplets, which are then brought together on a silicon interposer. Advanced 2.5D and 3D packaging techniques that enable this kind of integration also promise increased power efficiency and opportunities for heterogeneous ***, despite their advantages, chiplets are not without issues. Disaggregating a design into multiple separate dies introduces new security threats, including the possibility of tampering with and probing exposed data lines. In this paper we evaluate the exposure of chiplets to probing by applying laser contactless probing techniques to a chiplet-based AMD/Xilinx VU9P FPGA. First, we identify and map interposer wire drivers, and show that probing them is easier compared to probing internal nodes. Lastly, we demonstrate that delay-based sensors, which can be used to protect against physical probes, are insufficient to protect against laser probing.

关键词： Laser theory Three-dimensional displays Chiplets Packaging Silicon Sensors Delays System-on-chip Wire Security

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Polymorphic Sensor to Detect Laser Logic State Imaging Attack

Polymorphic Sensor to Detect Laser Logic State Imaging Attac...

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IEEE International Symposium on Quality Electronic Design

作者： Sourav Roy Shahin Tajik Domenic Forte Department of Electrical and Computer Engineering University of Florida Department of Electrical and Computer Engineering Worcester Polytechnic Institute

Laser Logic State Imaging (LLSI) is a failure analysis (FA) technique which is conducted from the chip backside. LLSI provides an unlimited number of contactless probes to observe static signals, such as security critical assets, which in the hand of an attacker poses a significant threat. Countermeasures that have been proposed so far to prevent backside optical attacks have limitations, such as additional fabrication steps, large area overhead, incompatibility with digital circuits, which makes their implementation challenging. In this paper, we propose all-digital polymorphic gate sensors for the first time in hardware security to detect LLSI attacks. Polymorphic gates change their behavior depending on environmental conditions, e.g., variations in supply voltage and temperature. Freezing the system clock and modulation of supply voltage are the main requirements of mounting an LLSI attack. With these two attack requirements in mind, we design and simulate a polymorphic gate-based sensor that behaves as a NOR gate when there is no supply voltage modulation and switches behavior between NAND gate and NOR gate in the presence of modulation. The sensor is able to detect LLSI attacks 100% of the time at room temperature even considering manufacturing variation and with a detection rate of more than98% for a temperature range of 0°C to 85°C.

关键词： Temperature sensors Temperature distribution Temperature dependence Optical switches Lasers Modulation Voltage

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