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Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 1083-1102页

作者： Akram, Tallha Khan, Muhammad Attique Sharif, Muhammad Yasmin, Mussarat Department of Electrical Engineering COMSATS University Islamabad Wah Campus Wah Cantt Pakistan Department of Compute Science and Engineering HITEC Univesity Museum Road Taxila Pakistan Department of Computer Science COMSATS University Islamabad Wah Campus Wah Cantt Pakistan

The number of deaths caused by melanoma has increased remarkably in the last few years which are the carcinogenic type of skin cancer. Lately, computer based methods are introduced which are intelligent enough to support dermatologist in initial judgment of skin lesion. However, there still exists a gap for an optimal solution;therefore, machine learning community is still considering it a great challenge. The primary objective of this article is to efficiently detect and classify skin lesion with the utilization of an improved segmentation and feature selection criteria. Presented contribution is threefold;First, ternary color spaces are exploited to separate foreground from the background—utilizing multilevel approach of contrast stretching. Second, a weighting criterion is designed which is able to select the best solution based on extended texture feature analysis, related labels, boundary connections and central distance. Third, an improved feature extraction and dimensionality reduction criteria is proposed which combines conventional as well as recent feature extraction techniques. The proposed method is tested on PH2, ISBI 2016 and ISIC benchmark data sets and evaluated on the basis of multiple parameters including FPR, sensitivity, specificity, FNR and accuracy. From the statistics, it is quite clear that the proposed method outperforms numerous existing techniques with considerable margin. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.

关键词： Image fusion

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Tea Leaf Disease Identification using Improved Convolution Neural Network

Tea Leaf Disease Identification using Improved Convolution N...

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2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023

作者： Thangaraj, Rajasekaran Vadivel, Balasubramaniam Aravind, T. Chandhru, L. Harish, K. Eswaran, Sivaraman Kpr Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Curtin University Malaysia Department of Electrical and Computer Engineering Miri Malaysia

ISBN: (纸本)9798350310689

Plant diseases are a significant concern for the agricultural industry, as they can reduce crop yields and cause economic losses. Tea is a popular and widely consumed beverage in India, and the tea crop can be affected by different leaf diseases. Early detection of the diseases is essential to prevent the spread of other crops and minimize production losses. Traditional methods of detecting leaf diseases involve manually interpreting the images, which can be time-consuming and laborious. To address this, artificial intelligence techniques, specifically deep learning models are used for more accurate and efficient detection of tea leaf disease. This study compares the performance of several deep learning models including ResNet50, Resnet50-RS, ResNetlOl-V2, and Modified-ResNet50-V2 (M-RN50V2) and finds that the M-RN50V2 model has the highest accuracy at 90.S4%. Overall, this work aims to promote sustainable agriculture by leveraging cutting-edge technology for disease classification. © 2023 IEEE.

关键词： Deep learning

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Multi-granularity feature enhancement network for maritime ship detection

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 649-664页

作者： Li Ying Duoqian Miao Zhifei Zhang Hongyun Zhang Witold Pedrycz Department of Computer Science and Technology Tongji UniversityShanghaiChina Project Management Office of China National Scientific Seafloor Observatory Tongji UniversityShanghaiChina Department of Electrical and Computer Engineering AlbertaEdmontonCanada System Research Institute Polish Academy of SciencesWarsawPoland

Due to the characteristics of high resolution and rich texture information,visible light images are widely used for maritime ship ***,these images are suscep-tible to sea fog and ships of different sizes,which can result in missed detections and false alarms,ultimately resulting in lower detection *** address these issues,a novel multi-granularity feature enhancement network,MFENet,which includes a three-way dehazing module(3WDM)and a multi-granularity feature enhancement module(MFEM)is *** 3WDM eliminates sea fog interference by using an image clarity automatic classification algorithm based on three-way decisions and FFA-Net to obtain clear image ***,the MFEM improves the accuracy of detecting ships of different sizes by utilising an improved super-resolution reconstruction con-volutional neural network to enhance the resolution and semantic representation capa-bility of the feature maps from *** results demonstrate that MFENet surpasses the other 15 competing models in terms of the mean Average Pre-cision metric on two benchmark datasets,achieving 96.28%on the McShips dataset and 97.71%on the SeaShips dataset.

关键词： object classification object recognition rough sets rough set theory

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Exploratory Data Analysis of Walmart Outlets Sales using Data Analytics Techniques

Exploratory Data Analysis of Walmart Outlets Sales using Dat...

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2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023

作者： Ramasami, Meaga Varsha Thangaraj, Rajasekaran Manoj Kumar, S. Eswaran, Sivaraman Kpr Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Curtin University Malaysia Department of Electrical and Computer Engineering Miri Malaysia

ISBN: (纸本)9798350310689

Sales fluctuation is the biggest problem faced by every retailer. The key to solving this issue is finding the invisible pattern of the components that have an effect on sales prediction. Nowadays retailers require a 360-degree vision of their customers to compete in the market. To achieve sales and marketing objectives, retailers must build strong promotions and offers. Retail companies employ the data from the previous year to analyse and predict sales for the upcoming year using data analysis applications. Additionally, it provides retailers with analytical insights, particularly in identifying the products liked by the customers in a particular store. In this paper, Walmart store the world's largest retailer dataset is used to figure out the business drivers and forecast which departments will be impacted by multiple parameters like average temperature, fuel price, and unemployment rate along with holidays reference and their effect on sales at stores of various locations. By visualising the analysed data, the Scala and Python API of the Spark framework is utilised to understand Walmart's marketing initiatives and data-driven plans and to acquire fresh insights into consumer behaviour. © 2023 IEEE.

关键词： Sales

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Hotel Information System Management Audit Using COBIT 2019 - APO12 2

Hotel Information System Management Audit Using COBIT 2019 -...

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2nd International Conference for Innovation in Technology, INOCON 2023

作者： Utamajaya, Joy Nashar Supangat, Suhono Harso Gaol, Ford Lumban Ranti, Benny BINUS University BINUS Graduate Program School of Information System Jakarta Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatic Bandung Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta Indonesia University of Indonesia Computer Science Department Faculty of Computer Science Depok Indonesia

ISBN: (纸本)9798350320923

In general, public or private organizations or companies have used information-based technology as a support to improve business performance to be more effective and efficient in order to achieve a company's business goals. Given the large contribution of information technology in the application of hotel applications as a supporting information system, it is a vital system that must avoid risks that can hinder and cause harm to the hotel management business processes. Therefore, it is necessary to carry out risk management using the COBIT 5 framework to manage possible risks that may occur based on the APO12 (Manage Risk) domain. From the evaluation results of the data obtained through observation and interviews as well as the calculation of the results of the questionnaire based on 6 APO12 subdomains, the results of the risk management level capability assessment in hotel applications are still at level 3 or have reached the level of established process with the target to be achieved at level 4 resulting in a gap of 1 level. Based on the results obtained, it is necessary to propose recommendations that can be used by hotels in improving the application of information technology risk management so that in the future it can achieve the expected target level so that the APO12 level of capability can increase and become more optimal. © 2023 IEEE.

关键词： Risk management

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FedAudio: A Federated Learning Benchmark for Audio Tasks 48

FedAudio: A Federated Learning Benchmark for Audio Tasks

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Zhang, Tuo Feng, Tiantian Alam, Samiul Lee, Sunwoo Zhang, Mi Narayanan, Shrikanth S. Avestimehr, Salman University of Southern California Department of Electrical and Computer Engineering United States Michigan State University Department of Electrical and Computer Engineering United States The Ohio State University Department of Computer Science and Engineering United States Inha University Department of Computer Engineering Korea Republic of

ISBN: (纸本)9781728163277

Federated learning (FL) has gained substantial attention in recent years due to data privacy concerns related to the pervasiveness of consumer devices that continuously collect data from users. While a number of FL benchmarks have been developed to facilitate FL research, none of them include audio data and audio-related tasks. In this paper, we fill this critical gap by introducing a new FL benchmark for audio tasks which we refer to as FedAudio. FedAudio includes four representative and commonly used audio datasets from three important audio tasks that are well aligned with FL use cases. In particular, a unique contribution of FedAudio is the introduction of data noises and label errors to the datasets to emulate challenges when deploying FL systems in real-world settings. FedAudio also includes the benchmark results of the datasets and a PyTorch library with the objective of facilitating researchers to fairly compare their algorithms. We hope FedAudio could act as a catalyst to inspire new FL research for audio tasks and thus benefit the acoustic and speech research community. The datasets and benchmark results can be accessed at https://***/zhang-tuo-pdf/FedAudio. © 2023 IEEE.

关键词： Data privacy

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Aerosol jet printing of surface acoustic wave microfluidic devices

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Microsystems & Nanoengineering 2024年第1期10卷 231-242页

作者： Joseph Rich Brian Cole Teng Li Brandon Lu Hanyu Fu Brittany N.Smith Jianping Xia Shujie Yang Ruoyu Zhong James L.Doherty Kanji Kaneko Hiroaki Suzuki Zhenhua Tian Aaron D.Franklin Tony Jun Huang Department of Biomedical Engineering Duke UniversityDurhamNC 27708USA Department of Electrical and Computer Engineering Duke UniversityDurhamNC 27708USA Department of Mechanical Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA Thomas Lord Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNC 27708USA Deptartment of Precision Mechanics Faculty of Science and EngineeringChuo UniversityTokyo 112-8551Japan Department of Chemistry Duke UniversityDurhamNC 27708USA

The addition of surface acoustic wave(SAW)technologies to microfluidics has greatly advanced lab-on-a-chip applications due to their unique and powerful attributes,including high-precision manipulation,versatility,integrability,biocompatibility,contactless nature,and rapid ***,the development of SAW microfluidic devices is limited by complex and time-consuming micro/nanofabrication techniques and access to cleanroom facilities for multistep photolithography and vacuum-based *** simplify the fabrication of SAW microfluidic devices with customizable dimensions and functions,we utilized the additive manufacturing technique of aerosol jet *** successfully fabricated customized SAW microfluidic devices of varying materials,including silver nanowires,graphene,and poly(3,4-ethylenedioxythiophene)polystyrene sulfonate(PEDOT:PSS).To characterize and compare the acoustic actuation performance of these aerosol jet printed SAW microfluidic devices with their cleanroom-fabricated counterparts,the wave displacements and resonant frequencies of the different fabricated devices were directly measured through scanning laser Doppler ***,to exhibit the capability of the aerosol jet printed devices for lab-on-a-chip applications,we successfully conducted acoustic streaming and particle concentration ***,we demonstrated a novel solution-based,direct-write,single-step,cleanroom-free additive manufacturing technique to rapidly develop SAW microfluidic devices that shows viability for applications in the fields of biology,chemistry,engineering,and medicine.

关键词： printing wave fluid

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On the long-term average rates of deterministic communication sessions’ flows

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International Journal of Information Technology (Singapore) 2023年第8期15卷 4365-4373页

作者： Eyinagho, Monday Ofori Falaki, Samuel Oluwole Department of Electrical and Computer Engineering Afe Babalola University Ado-Ekiti Nigeria Department of Computer Science Federal University of Technology Akure Nigeria

The operation of the present Internet in terms of service provisioning is majorly Best-Effort, in which traffic is processed as quickly as possible, without any guarantee as to timeliness or actual delivery. However, the rapid transformation into a commercial infrastructure which the Internet is currently undergoing has brought to the fore, the necessity for service quality levels’ quantification. The guaranteed and controlled-load services are two types of services that are designed to meet this necessity. The operation of these services is based on the Internet engineering Task Force’s (IETF’s) admission control principle that entails setting up a flow which must conform to IETF’s T-SPEC (Traffic Specification). A flow’s sustainable rate in bits/sec., which is the minimum rate required to serve the flow, is one of the four parameters of the T-SPEC. Also, the providers of Transport Ethernet (or Carrier Ethernet) services define a bandwidth profile, which enables the Service Providers bill for bandwidth usage, and also, engineer their networks’ resources in order to provide performance assurances for conformant or in-profile PDUs (Protocol Data Units). One of the parameters of this profile is the CIR (Committed Information Rate) in bits/sec. Therefore, an issue that must be dealt with by both Service Providers and Subscribers in this context is, coming into agreement on a value for this parameter. But, to the best of our knowledge, no generally known method(s) and/or formula(s) for determining this parameter presently exist in the literature. In this paper, the derivation of a formula that can be used to compute this parameter is described. The utility of the formula is demonstrated via an illustrative practical example, and the long-term average rates/sustainable rates/CIRs that were computed by utilizing the formula are quite revealing when viewed in the context of literature available rates. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's I

关键词： Average rate of a communication session Carrier Ethernet Committed information rate Deterministic communication Guaranteed service Traffic specification

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Downlink Throughput, SINR & Coverage Analysis in Urban Scenario for LTE & mmWave 5G NR MIMO 10

Downlink Throughput, SINR & Coverage Analysis in Urban Scena...

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10th International Conference on Signal Processing and Communication, ICSC 2025

作者： Jain, Swarnima Kumar, Goutam Markan, Anhad Markan, C.M. Dayalbagh Educational Institute Department of Physics and Computer Science Agra India Dayalbagh Educational Institute Department of Electrical Engineering Agra India

ISBN: (纸本)9798331511890

5G New Radio (NR) is a global standard for 5G wireless air interface as it provides more responsive and faster mobile experiences. Calculating 5G NR throughput and Signal-to-Interference-plus-Noise Ratio (SINR) helps network operators evaluate the effectiveness of their network design, configuration, and optimization. The urban scenario is one of the five deployment scenarios established by the 3GPP that use mmWave technology. A Wireless InSite, Wireless propagation simulation study was undertaken to estimate the effect of precoding schemes at 5G MIMO, BS and various diversity combining techniques at the UE in presence of multipath interactions and scatterers in Urban Scenario. When compared to LTE, SISO at 1.8 GHz, beamforming in a mmWave 5G NR cellular network at 28 GHz improves downlink throughput by more than 6 times. SINR and coverage for LTE network was higher than mmWave 5G which improved significantly with large array gains of MIMO system and beamforming coming relatively close to LTE. Best network performance for the defined user distribution was achievable with combination of MRT precoding at BS with Maximum Ratio Combining (MRC) at UE © 2025 IEEE.

关键词： Beamforming

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Real-Time Power Monitoring and Fault Detection in Power Distribution System Using FPGA and cRIO 9039

Real-Time Power Monitoring and Fault Detection in Power Dist...

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2024 International Conference on Innovations in science, engineering and Technology, ICISET 2024

作者： Mithil, Md. Salman Khan Talha, Md. Abu Ahmad, Shameem Islam, Khandoker Mainul South Dakota School of Mines & Technology Department of Electrical Engineering and Computer Science Rapid CitySD57701 United States Faculty of Engineering Department of Electrical and Electronic Engineering Dhaka1229 Bangladesh

ISBN: (纸本)9798350355499

This paper details developing and implementing a comprehensive power monitoring system, designed for real-time data acquisition and fault detection. Utilizing a cRIO 9039 platform, the system measures voltage and current, calculates RMS values, frequency, and complex power, and identifies fault conditions in voltage levels, frequency, or power factor. A unique aspect of our approach integrates FPGA-based data processing, ensuring high-speed data handling and error detection without interrupting primary data flow. The system also features a user-friendly interface for real-time data display and fault management. If any errors have been detected, the user will be notified using visual and audio warning and the reading and timestamp corresponding to the fault will be recorded. The system accurately monitors power metrics and detects deviations, enhancing industrial power management systems. The architecture, workflow, and user interface design align with industrial standards, offering practical insights into power system monitoring. © 2024 IEEE.

关键词： Power distribution faults

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