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检索条件"任意字段=International Conference on Applied Computing and Information Technology"

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Irregular computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators 5

Irregular Computing on Genomic Big Data: Design Space Explor...

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5th international conference on Innovative Trends in information technology (ICITIIT)

作者： Cheriyan, Cherisha Ronney Madhankumar, P. Sundar, Shyam S. Haripriya, N. Kandappan, V. A. Natarajan, Santhi Shiv Nadar Univ Chennai Sch Engn Dept CSE Cognit Lab Kalavakkam 603110 Tamil Nadu India

ISBN: (纸本)9798350386813;9798350386820

Genome Informatics (GI), executed over a multi-stage data analytics pipeline, has evolved to be an interdisciplinary approach to discover hidden structured information in the unstructured genomic raw data. As the massive genomic data keeps growing exponentially, HPC platforms are increasingly sought after to handle the associated complex computations. GI is characterized by heavy data dependency that triggers irregular computing on the fly, thereby demanding heavy fine-grain synchronization. Modern computing architectures, built on subterranean memory hierarchies supporting a temporal and spatial mapping of data, would fail to support GI. In this paper, we present the irregular genomic computing capabilities of ReneGENE-GI, our novel GI pipeline, evaluated across scalable accelerator platforms, ranging from silicon clusters to Quantum Emulators. This pipeline exploits the intrinsic parallel performance of the hardware, coupled with dynamic data structures and scalable algorithms. Seamless data streaming techniques helps to keep heavy memory footmark at bay, while enabling run time analytics with minimum Input/Output bottlenecks. High precision computing ensures genetic reliability of the inferences.

关键词： HPC Genome Informatics Irregular Bio computing Quantum Accelerators Parallel algorithms Accuracy Fine grain synchronization Load balancing

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Investigating Applications of Run Length Encoding in Data Compression & Source Coding 15

Investigating Applications of Run Length Encoding in Data Co...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Rongali, Aruna Sri Dhabliya, Dharmesh Pandey, Ishaan Sachdeva, Ankit Praveena, Hirald Dwaraka Aich, Shibani C. University of The Cumberlands Department Information Technology United States Vishwakarma Institute of Technology Department of Information Technology Maharashtra Pune India Bml Munjal University Computer Science Haryana Gurgaon India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Mohan Babu University Department of Ece Andhra Pradesh Tirupati517 102 India Amrita Vishwa Vidyapeetham Department of English Amritapuri India

ISBN: (纸本)9798350370249

Run period Encoding (RLE) is a powerful and efficient approach for fact compression and supply coding. It is generally applied to the lossless compression of grayscale or bi-tonal (black-and-white) photos and digital pix. Significantly, RLE decreases the statistics required to save and transmit virtual facts. That is completed by making the information greater compact and casting off redundancy. Typically, RLE counts the number of consecutive occurrences of a given image or sign and then encodes those occurrences into an unmarried cost. By encoding multiple repetitions of a symbol in this manner, RLE can reduce the entire quantity of statistics wanted for garage or transmission. The RLE set of rules works by looking for long strings of characters that may be compressed into fewer characters. Exploring the potential packages of RLE in supply coding and records compression is an ongoing study subject matter within the area. © 2024 IEEE.

关键词： Compression Decrease Encoding Quantity Transmission Unmarried

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Design and Fabrication of High Sensitivity MEMS Pressure Sensors for Aerospace Applications

Design and Fabrication of High Sensitivity MEMS Pressure Sen...

引用

2024 international conference on Optimization computing and Wireless Communication, ICOCWC 2024

作者： Yadav, Dhyan Chandra Faujdar, Pramod Kumar Mandal, Sanjeev Kumar Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Mechanical Engineering Jaipur India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350383348

This technical summary discusses the layout and fabrication of high-sensitivity MEMS strain sensors for aerospace applications. There may be a need for fairly particular and dependable pressure sensors that can screen the stress in the plane cabin, gas tanks, and different systems. MEMS pressure sensors are appropriate for such programs because they provide improved accuracy, flexibility, and strength consumption. The design of high-sensitivity MEMS strain sensors for aerospace programs needs to remember some of the necessities that are unique to such programs. As an example, the sensor needs to be capable of resisting the excessive temperatures and pressures associated with operations at high altitudes, as well as the potentially corrosive and extraordinarily electrically conductive environment of the cabin. The sensors need to additionally provide excessive sensitivity and speedy reaction times at the same time as keeping excessive accuracy and stability. A number of fabrication and design techniques may be applied. As an example, using lasers, photolithography, thin movie deposition, etching, and different microfabrication techniques can permit the fabrication of excessive decision MEMS systems with extraordinarily small characteristic sizes. © 2024 IEEE.

关键词： Altitudes Capable Characteristic Improved Potentially Sensors Systems Technical

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Theoretical Study of MHD Blood Flow in Bifurcated Arteries with Application of Heat Source and Porous Medium in View of Carotid Body Tumors 2

Theoretical Study of MHD Blood Flow in Bifurcated Arteries w...

引用

2nd international conference on computing and Data Analytics, ICCDA 2024

作者： Kumar, Devendra Garvandha, Mahesh Bora, Satyanarayana Kumar, Sanjeev Deo, Narendra Mathematics Section University of Technology and Applied Sciences-Shinas Information Technology Department Shinas Oman Preparatory Studies Center University of Technology and Applied Sciences-Shinas Shinas Oman Preparatory Studies Center University of Technology and Applied Sciences Musandam Oman Dr. B. R. Ambedkar University Department of mathematics Agra India Synergy Hospital Agra India

ISBN: (纸本)9798331542573

In the present scenario carotid body tumors (CBT) are commonly treated by surgery, even heat transfer (other than normal high or low), blood flow rates, and medium of flow are highly recommended to manage in case of non-invasive treatments. The fluid (MHD blood), which is Newtonian, flows through bifurcated arteries with carotid body tumors through the medium of permeable in nature along with an external heat source. Blood contains fatty accumulation in blood cells, which is assumed to be caused by the porous medium. The rheology of biofluid (blood) flowing through a porous medium is developed mathematically. The magnetic field applied is normal to the flow. The partial differential equations governing the flow are solved using transformations. The boundary conditions are suggested for solving the model. Velocity profiles, resistance on walls, temperature distribution, and heat transfer flow rates are examined for different parameters. The axial velocity and shear stresses on walls are investigated for porosity parameters. The behavior of Prandtl number (Pr), heat source parameter (S), and magnetic field parameter (M) on velocity profiles in the presence of porosity parameter and temperature field is also noted. A numerical range of parameters is considered for analysis. The results are shown through graphs. © 2024 IEEE.

关键词： Prandtl number

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A design of management software for satellite edge computing payloads

A design of management software for satellite edge computing...

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2024 international conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Chen, Shuo Zhang, Yue Gao, Jixing Yu, Zhigang Xu, Zhiping China Academic of Electronics and Information Technology China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

With the rapid advancement of aerospace electronics, the traditional single-satellite application paradigm is transitioning towards collaborative networking involving multiple satellites. Furthermore, the continuous improvement in on-board computing capabilities raises concerns in the aerospace sector regarding the effective utilization of satellite-based processing resources for on-orbit edge computing. This study draws inspiration from mobile edge computing design principles and proposes a tailored computing payload management software design for satellite edge computing. By integrating traditional on-orbit Payload Management with mobile edge computing technology, the design facilitates task scheduling across heterogeneous computing resources within satellite constellations. Moreover, validation scenarios are devised to demonstrate the effectiveness of edge computing enabled by the computing payload management software in improving the timeliness of satellite services. Validation results indicate a 31.9% reduction in satellite service latency under the proposed edge computing scenario leveraging the computing payload management software. © 2025 SPIE.

关键词： Mobile edge computing

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Enhancing Cyclone Center Identification in Radar Images through Deep Learning and Match Recognition 15

Enhancing Cyclone Center Identification in Radar Images thro...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Shanmugam, Thirumurugan Chandrashekar, Chirag Subburaj, Maheswari Sivaraman, Arun Kumar Sultana, Ajmery Thangavel, Senthil Kumar University of Technology and Applied Sciences College of Computing and Information Sciences Suhar Oman Vellore Institute of Technology School of Computer Science and Engineering Chennai India Photon Interactive Inc Digital Engineering Solution Center ON Canada Algoma University Brampton School of Computer Science and Technology ON Canada Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350370249

This research focuses on improving the identification of cyclone centers using deep learning and match recognition applied to radar images. Accurately pinpointing the cyclone's center is vital for predicting its intensity and trajectory. However, challenges persist in automatically locating the center due to the diverse nature of cyclone morphology and structure. To address this, the deep convolutional network's capability is leveraged to capture various structural features in images by proposing two-step approach for cyclone center localization. Initially, a pre-trained EfficientDet model is employed using transfer learning to obtain weights. Subsequently, these weights, along with the data, are utilized in a deep learning model to provide precise coordinates of the cyclone center in the respective image. The effectiveness of existing deep learning and machine learning models show that the cyclone prediction systems have an accuracy ranging from 86% to 92% or better, and cyclone eye detection accuracy surpassing 87%. Experiment outcomes indicate that the proposed methodology outperforms conventional methods and existing works, showcasing its potential for enhancing cyclone monitoring and forecasting. © 2024 IEEE.

关键词： Cyclone detection deep learning efficient det and YOLO model transfer learning

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Analysis of cryptanalysis methods applied to stream encryption algorithms

Analysis of cryptanalysis methods applied to stream encrypti...

引用

international conference on Artificial Intelligence, Blockchain, computing and Security, ICABCS 2023

作者： Rakhmatullaevich, Rakhmatullayev Ilkhom Mardanokulovich, Ilkhom Boykuziyev Samarkand Branch of Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi Samarkand Uzbekistan Department of Cryptology Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi Uzbekistan

ISBN: (纸本)9781032669663

Scientific-research work was carried out within the framework of ongoing research in order to create a durable stream encryption algorithm. In this research, cryptanalysis methods applied to stream encryption algorithms are studied. As a result of the reviewed analysis, it was determined that correlation attack type is the most widely used cryptanalysis method compared to stream encryption algorithms. It was determined that the correlation-immunity property of the combining function used in the combining generators provides tolerance compared to the correlation cryptanalysis method, and the use of a non-linear filtering function with the correlation-immunity property in the filtering generators increases the tolerance compared to the correlation cryptanalysis method. © 2024 The Author(s).

关键词： Cryptography

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Bloom, Xor, and Cuckoo Filter Comparison for Database's Query Optimization 11

Bloom, Xor, and Cuckoo Filter Comparison for Database's Quer...

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11th international conference on information and Communication technology, ICoICT 2023

作者： Maulana, Mochamad Syarief Linuwih, Byatriasa Pakarti Nuha, Hilal H. Satrya, Gandeva Bayu Telkom University School of Computing Bandung Indonesia Telkom University School of Applied Science Bandung Indonesia

ISBN: (纸本)9798350321982

This paper proposes the use of probabilistic data structure filters to optimize database systems for IT micro, small, and medium-sized enterprises (MSMEs) and startups in Indonesia. The efficiency of various filters, including the Classic Bloom filter, Partitioned Bloom filter, Counting Bloom filter, Cuckoo filter, and Xor filter, are compared in terms of their computing time, cost, and resource usage for both write and read operations. The findings show that while the use of filters led to a slight increase in insertion and query time for existing keys in the database, it also resulted in a significant decrease in query time for nonexistent keys. The Cuckoo filter was found to be the most efficient. This research provides valuable insights for IT MSMEs and startups in Indonesia, enabling them to make informed decisions in optimizing their database systems through filter selection. © 2023 IEEE.

关键词： Data structures

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Data-Driven Retention Strategies: Exploring the Efficacy of Composite Deep Learning for Customer Churn Prediction in Telecommunications 2

Data-Driven Retention Strategies: Exploring the Efficacy of ...

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2nd international conference on Distributed computing and Optimization Techniques, ICDCOT 2024

作者： Habelalmateen, Mohammed I. Bala Dhandayuthapani, V. Malathy, V. Pramodhini, R. Ramakrishna, D. The Islamic University Najaf Iraq College of Computing and Information Sciences University of Technology and Applied Sciences Shinas Branch Department of It Oman Sr University Department of Ece Warangal India Nitte Meenakshi Institute of Technology Dept of Ece Bengaluru India Electronics and Communication Engineering Department Telangana Hyderabad India

ISBN: (纸本)9798350382952

The customer churn, otherwise known as subscriber loss, inclusive among one of the key challenges of the telecommunication industry (TCI). Forecasting churn gives rise to telecoms step-saving retentional strategies, serving as the means preventing losing revenue. To this research applies of the innovative customer churn prediction (CCP) model employing data transformation approaches and feature selection schemes. The work entail analyzing six data transformation methods (Log, Rank, Box-Cox, Z-score, Discretization, and weight-of-evidence) and eight classifiers such that each data conversion technique is applied or tested on multiple types of classifiers such as K-Nearest Neighbors (KNN), Naive Bayes (NB), Logistic Regression (LR), Random Forest (RF) The univariate way of feature selection is used to determine the features which have major effect and the proposal grid search is also adopted for hyperparameter optimisation. Experiments are conducted on four selected telecommunication industry (TCI) datasets. The evaluation of the model's performance involves using metrics such as accuracy and recall which are understood to be better than existing tools. © 2024 IEEE.

关键词： Telecommunication industry

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Enhancing Performance of Sigmoid Implementation in FPGA using Approximate computing

Enhancing Performance of Sigmoid Implementation in FPGA usin...

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2024 international conference on Informatics Electrical and Electronics, ICIEE 2024

作者： Murmu, Rohan Bhattacharya, Mahua Kumar, Somesh ABV-Indian Institute of Information Technology and Management Department of Information Technology M.P. Gwalior India ABV-Indian Institute of Information Technology and Management Department of Information Technology India ABV-Indian Institute of Information Technology and Management Department of Electrical and Electronics Engineering India

ISBN: (纸本)9798331519216

This paper explores an efficient implementation of the sigmoid function on Field-Programmable Gate Arrays (FPGAs) through Piecewise Linear Approximation (PLAN). Recognizing the high computational demands of exact sigmoid calculations, we propose a methodology that leverages Approximate computing techniques to enhance performance. By strategically reducing precision, our approach significantly speeds up computations while maintaining acceptable accuracy levels, thus optimizing resource usage. This tradeoff is particularly advantageous in scenarios demanding high-speed data processing and low power consumption. We demonstrate the feasibility and benefits of our method with empirical results, suggesting its practicality for real-time applications in neural networks and machine learning. © 2024 IEEE.

关键词： Piecewise linear techniques

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