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An efficient permutation approach for SbPN-based symmetric block ciphers

Cybersecurity 2024年第2期7卷 113-130页

作者： Mir Nazish M.Tariq Banday Insha Syed Sheena Banday department of electronics and instrumentation technology University ofKashmirSrinagar 190006India

It is challenging to devise lightweight cryptographic primitives efficient in both hardware and software that can provide an optimum level of security to diverse Internet of Things applications running on low-end constrained ***,an effcient hardware design approach that requires some specific hardware resource may not be effcient if implemented in *** bit Permutation Network based ciphers such as PRESENT and GIFT are effcient,lightweight cryptographic hardware design *** ciphers introduce confusion and diffu-sion by employing a 4×4 static substitution box and bit *** bit-wise permutation is realised by sim-ple rerouting,which is most cost-effective to implement in hardware,resulting in negligible power ***,this method is highly resource-consuming in software,particularly for large block-sized ciphers,with each single-bit permutation requiring multiple *** paper proposes a novel software-based design approach for permutation operation in Substitution bit Permutation Network based ciphers using a bit-banding *** conventional permutation using bit rotation and the proposed approach have been implemented,analysed and compared for GIFT and PRESENT ciphers on ARM Cortex-M3-based LPC1768 development platform with KEIL MDK used as an Integrated Development *** real-time performance comparison between conven-tional and the proposed approaches in terms of memory(RAM/ROM)footprint,power,energy and execution time has been carried out using ULINKpro and ULINKplus debug adapters for various code and speed optimisation *** proposed approach substantially reduces execution time,energy and power consumption for both PRE-SENT and GIFT ciphers,thus demonstrating the effciency of the proposed method for Substitution bit Permutation Network based symmetric block ciphers.

关键词： Lightweight cryptography PRESENT GIFT SbPN Cortex-M LPC1768 Bit-band memory

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Advancements in Liver Tumor Detection:A Comprehensive Review of Various Deep Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 91-122页

作者： Shanmugasundaram Hariharan D.Anandan Murugaperumal Krishnamoorthy Vinay Kukreja Nitin Goyal Shih-Yu Chen Deptartment of Artificial Intelligence and Data Science Vardhaman College of EngineeringHyderabad501218India Deptartment of CSE V.S.B College of EngineeringKarur639111India Deptartment of Electrical and electronics Engineering Vardhaman College of EngineeringHyderabad501218India Centre for Research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendergarh123031HaryanaIndia department of Computer Science and Information Engineering National Yunlin University of Science and TechnologyYunlin64002Taiwan Intelligence Recognition Industry Service Research Center National Yunlin University of Science and TechnologyYunlin64002Taiwan

Liver cancer remains a leading cause of mortality worldwide,and precise diagnostic tools are essential for effective treatment *** Tumors(LTs)vary significantly in size,shape,and location,and can present with tissues of similar intensities,making automatically segmenting and classifying LTs from abdominal tomography images crucial and *** review examines recent advancements in Liver Segmentation(LS)and Tumor Segmentation(TS)algorithms,highlighting their strengths and limitations regarding precision,automation,and *** metrics are utilized to assess key detection algorithms and analytical methods,emphasizing their effectiveness and relevance in clinical *** review also addresses ongoing challenges in liver tumor segmentation and identification,such as managing high variability in patient data and ensuring robustness across different imaging *** suggests directions for future research,with insights into technological advancements that can enhance surgical planning and diagnostic accuracy by comparing popular *** paper contributes to a comprehensive understanding of current liver tumor detection techniques,provides a roadmap for future innovations,and improves diagnostic and therapeutic outcomes for liver cancer by integrating recent progress with remaining challenges.

关键词： Liver tumor detection liver tumor segmentation image processing liver tumor diagnosis feature extraction tumor classification deep learning machine learning

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Air Quality Predictions in Urban Areas Using Hybrid ARIMA and Metaheuristic LSTM

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Computer Systems Science & Engineering 2022年第12期43卷 1271-1284页

作者： S.Gunasekar G.Joselin Retna Kumar G.Pius Agbulu department of electronics and instrumentation Engineering SRM Institute of Science and TechnologyChennai603203TamilnaduIndia

Due to the development of transportation, population growth and industrial activities, air quality has become a major issue in urban areas. Poor air qualityleads to rising health issues in the human’s life in many ways especially respiratory infections, heart disease, asthma, stroke and lung cancer. The contaminatedair comprises harmful ingredients such as sulfur dioxide (SO2), nitrogen dioxide(NO2), and particulate matter of PM10, PM2.5, and an Air Quality Index (AQI).These pollutant ingredients are very harmful to human’s health and also leads todeath. So, it is necessary to develop a prediction model for air quality as regularon the basis of monthly or seasonaly. In this work, a new hybrid model for airquality prediction (AQP) is developed by using reed deer metaheuristic optimizedLong Short Term Memory (LSTM) Deep Learning network. To overcome thedrawback of the existing autoregressive integrated moving average model(ARIMA) model, the residual errors are processed by using an optimized LSTMnetwork. The red deer optimization (RDO) is a new type of metaheuristic methodwhich is motivated by the mating behaviour of Red Deer. The proposed model isbetter in terms of all prediction performance parameters when compared withother models.

关键词： Air quality prediction ARIMA RDO

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Analysis of OSA Syndrome from PPG Signal Using CART-PSO Classifier with Time Domain and Frequency Domain Features

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Computer Modeling in Engineering & Sciences 2019年第2期118卷 351-375页

作者： N.Kins Burk Sunil R.Ganesan B.Sankaragomathi department of Biomedical Engineering Sethu Institute of TechnologyVirudhunagarIndia department of electronics and instrumentation Engineering Saveetha Engineering CollegeChennaiIndia department of electronics and instrumentation Engineering National Engineering CollegeKovilpattiIndia.

Obstructive Sleep Apnea(OSA)is a respiratory syndrome that occurs due to insufficient airflow through the respiratory or respiratory arrest while sleeping and sometimes due to the reduced oxygen *** aim of this paper is to analyze the respiratory signal of a person to detect the Normal Breathing Activity and the Sleep Apnea(SA)*** the proposed method,the time domain and frequency domain features of respiration signal obtained from the PPG device are *** features are applied to the Classification and Regression Tree(CART)-Particle Swarm Optimization(PSO)classifier which classifies the signal into normal breathing signal and sleep apnea *** proposed method is validated to measure the performance metrics like sensitivity,specificity,accuracy and F1 score by applying time domain and frequency domain features ***,the performance of the CART-PSO(CPSO)classification algorithm is evaluated through comparing its measures with existing classification ***,the effect of the PSO algorithm in the classifier is validated by varying the parameters of PSO.

关键词： Obstructive sleep apnea photoplethysmogram signal time domain features frequency domain features classification and regression tree classifier particle swarm optimization algorithm.

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FDTD technique based crosstalk analysis of bundled SWCNT interconnects

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Journal of Semiconductors 2015年第5期36卷 90-98页

作者： Yograj Singh Duksh Brajesh Kumar Kaushik Rajendra P.Agarwal department of electronics and instrumentation Engineering Mahatma Jyotiba Phule Rohilkhand University department of electronics and Communication Engineering Indian Institute of Technology Shobhit University

The equivalent electrical circuit model of a bundled single-walled carbon nanotube based distributed RLC interconnects is employed for the crosstalk analysis. The accurate time domain analysis and crosstalk effect in the VLSI interconnect has emerged as an essential design criteria. This paper presents a brief description of the numerical method based finite difference time domain （FDTD） technique that is intended for estimation of voltages and currents on coupled transmission lines. For the FDTD implementation, the stability of the proposed model is strictly restricted by the Courant condition. This method is used for the estimation of crosstalk induced propagation delay and peak voltage in lossy RLC interconnects. Both functional and dynamic crosstalk effects are analyzed in the coupled transmission line. The effect of line resistance on crosstalk induced delay, and peak voltage under dynamic and functional crosstalk is also evaluated. The FDTD analysis and the SPICE simulations are carried out at 32 nm technology node for the global interconnects. It is observed that the analytical results obtained using the FDTD technique are in good agreement with the SPICE simulation results. The crosstalk induced delay, propagation delay, and peak voltage obtained using the FDTD technique shows average errors of 4.9%, 3.4% and 0.46%, respectively, in comparison to SPICE.

关键词： FDTD SWCNT bundle interconnects crosstalk delay peak voltage coupled transmission lines

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Sliding mode observer-based fault detection for helicopter system

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Journal of Control and Decision 2023年第4期10卷 465-475页

作者： M.Raghappriya S.Kanthalakshmi department of electronics and instrumentation Engineering Government College of TechnologyCoimbatoreIndia department of Electrical and electronics Engineering PSG College of TechnologyCoimbatoreIndia

Fault detection of non-linear systems is of great importance in control systems *** faults could lead to irreparable *** paper deals with fault diagnosis of helicopter system in the presence of uncertainties and *** deal with sensor,actuator and component faults,the observer-based diagnosis scheme which employs sliding mode observer is *** are modelled as an additive and multiplicative fault which is introduced as an abrupt and intermittent fault into the *** inequality constraints and gain matrices are solved using a Lyapunov-based *** results display the effectiveness of the designed observer and the ability to handle faults.

关键词： Fault diagnosis sliding mode observer sensor actuator and component faults residual generation

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Dynamic model identification of a real-time simple level control system

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Journal of Control and Decision 2016年第4期3卷 248-266页

作者： Prasenjit Ghorai Somanath Majhi Saurabh Pandey department of electronics and instrumentation Engineering National Institute of Technology AgartalaTripuraIndia department of electronics and Electrical Engineering Indian Institute of Technology GuwahatiAssamIndia

Using a relay feedback approach,mathematical expressions for identification of real-time level control system in transfer function form are proposed in this *** ideal relay with hysteresis is feedback to a simple level control system for the generation of sustained ***,limit cycle information is utilised in deduced expressions for the estimation of unknown system *** describing function analysis,the gain of an ideal relay with hysteresis is approximated to yield simple mathematical *** examples from literature are considered to show the effectiveness of the proposed identification *** distributed control system:CENTUM CS 3000 is considered as a platform for the realisation of both relay feedback and Ziegler-Nichols(ZN)*** accuracy of derived transfer function models is compared with a model derived from ZN method and thereafter demonstrated through frequency response plots which illustrate the experimental validation of the identified real-time process model.

关键词： Describing function level control system limit cycle process identification and relay feedback

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Comparison of two absorption imaging methods to detect cold atoms in magnetic trap

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Chinese Physics B 2015年第2期24卷 146-151页

作者：王妍胡朝晖亓鲁 Science and technology on Inertial Laboratory School of Instrumentation Science and Opto-electronics EngineeringBeihang University

Two methods of absorption imaging to detect cold atoms in a magnetic trap are implemented for a high-precision cold atom *** the first method,a probe laser which is in resonance with a cycle transition frequency is used to evaluate the quantity and distribution of the atom *** the second method,the probe laser is tuned to an open transition frequency,which stimulates a few and constant number of photons per *** method has a shorter interaction time and results in absorption images which are not affected by the magnetic field and the light *** make a comparison of performance between these two imaging methods in the sense of parameters such as pulse duration,light intensity,and magnetic field *** experimental results show that the second method is more reliable when detecting the quantity and density profiles of the *** results fit well to the theoretical analysis.

关键词： absorption imaging open-channel transition cold atoms magnetic trap

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Efficient Time Synchronization Approach for Wireless Communication Systems on GPP-Based Software-Defined Radio Platform

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Journal of Computer Science & technology 2013年第3期28卷 429-436页

作者：黄伊唐超段红亮周一青钱蔓藜黄亮 Institute of Computing technology Chinese Academy of Sciences School of instrumentation Science and Opto-electronics Engineering Beihang University Beijing Science and technology Information Center department of electronics and Information Northwestern Polytechnical University

General purpose processer （GPP） based software-defined radio （SDR） platforms provide wireless communication system engineers with maximal architecture flexibility and versatility to construct a wideband wireless communication system. Nevertheless, the lack of hardware real-time timing control makes it difficult to achieve time synchronization between the base station and the terminals. In this paper, a software-based time synchronization （STS） method is proposed to realize the time synchronization of time division multiple access （TDMA） based wireless communication systems. A high precision software clock source is firstly constructed to measure the elapse of processing time. The Round-Trip Delay （RTD） algorithm is then presented to calculate timing advance values and achieve time synchronization. An example TDMA system is implemented on Microsoft Sora platforms to evaluate is effective to enable time synchronization for wideband the performance. Experiments show that the proposed mechanism wireless communication systems on GPP-based SDR platforms.

关键词： round-trip delay algorithm software-defined radio time division multiple access time synchronization

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A gecko-inspired adhesive robotic end effector for critical-contact manipulation

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Science China(Information Sciences) 2022年第8期65卷 120-133页

作者： Zhongyi CHU Jie DENG Lin SU Jing CUI Fuchun SUN School of instrumentation and Optoelectronic Engineering Beihang University department of Computer Science and technology Tsinghua University School of Mechanical Engineering and Applied electronics Beijing University of Technology

It is an emerging challenge for robots to achieve non-destructive pick-and-place manipulation for delicate objects under low normal preload, i.e., critical-contact manipulation. The prominent on-off controllable property of the gecko-inspired microwedge adhesive makes critical-contact manipulation possible for robotic end effectors. However, it is difficult for end effectors to actuate the micron-scale microwedge adhesive and detect the adhesion state. In this paper, a gecko-inspired adhesive robotic end effector for critical-contact manipulation is proposed, which consists of a half-scissor variable-scale actuator, a 3-axis high-sensitivity isotropic flexible capacitive tactile sensor, and the microwedge adhesive. The half-scissor variable-scale actuator is designed to provide pure large shear loading for the microwedge adhesive at micronscale displacement by merely controlling the normal macro-scale displacement of the actuator. Besides, the3-axis high-sensitivity isotropic flexible capacitive tactile sensor is designed for accurate detection of multiaxis contact forces and the adhesion state between the adhesive and objects to ensure the success of the critical-contact manipulation. The sensor can sense the shear and normal forces by detecting variations of the overlap and distance between electrodes, while the design of the finger-like electrodes improves the sensitivity. In addition, a set of experiments on manipulating objects are implemented and the results show that the proposed robotic end effector can provide pure large shear loading for the microwedge adhesive at micron-scale displacement and can detect the adhesion state between the microwedge adhesive and objects accurately to stably grasp delicate objects in critical-contact condition.

关键词： critical-contact manipulation gecko-inspired microwedge adhesive robotic end effector half-scissor variable-scale actuator tactile sensor

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