Journal of Electrical and Computer Science Engineering

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  • Current Issue: [JECSE 2025; 01(02) : ]

    Original Article: Mammogram Based on Breast Cancer Mining
    • C Kalyan
    • Pages: 01-04
    Full Text Download PDF XML Views (75) Downloads (56)
    Abstract

    With breast cancer still among leading causes of death in women all over the world, it is imperative that an early detection will make treatment possible. To enhance the rate of accuracy in diagnosis, this research is inclined to breast cancer mining through this approach in mammogram and by data mining and machine learning methods. The mammograms that have been processed and examined are sought to identify the patterns and characteristics that denote malignant tumors. To extract the features, texture analysis and shape descriptors are applied, whereas Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) are applied as classification methods. The proposed approach aims to augment early detection as well as reduce the number of false positives. The evidence indicates that data-driven mammography analysis stands to be of great benefit to radiologists so they could make quicker and more accurate diagnoses of breast cancer in an effort to better the patient.

    Keywords : Rule induction, Mining, Decision tree, Feature selection, Mammogram

    Author : C Kalyan

    Title : Mammogram Based on Breast Cancer Mining

    Volume/Issue : 2025;01(02)

    Page No : 01-04

    Original Article: NVIDIA CUDA Architecture for Apple Lossless Audio Codec Algorithm Optimisation
    • K Prabhakar Reddy
    • Pages: 05-07
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    Abstract

    To enhance the performance of audio compression and decompression, the proposed research aims at optimising Apple Lossless Audio Codec (ALAC) algorithm by using CUDA architecture provided by NVIDIA. The CPU-intensive processes of ALAC such as prediction, residual coding and entropy encoding take more time; therefore, the performance is increased by using graphics processing units through parallel processing with CUDA. The research saves a lot of time in processing in comparison with traditional implementations of CPUs, and this is done by redesigning key algorithm elements in order to utilize GPU parallelism. Experiment outings reveal the performance is more efficient and higher throughput and audio quality remains unaffected. The opportunity to encode and decode high-fidelity audio on faster real-time is beneficial to applications, such as streaming, storage, and playback, on GPU-capable devices. The paper focuses on the way CUDA-based acceleration can enhance the work of audio codecs.

    Keywords : SIMT, PCM, CUDA, ALAC, Audio decoding, Audio encoding

    Author : K Prabhakar Reddy

    Title : NVIDIA CUDA Architecture for Apple Lossless Audio Codec Algorithm Optimisation

    Volume/Issue : 2025;01(02)

    Page No : 05-07

    Original Article: Using LabVIEW to Implement the UDP Pervasive Protocol for a Smart Home Environment on MyRIO
    • N Naresh
    • Pages: 08-12
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    Abstract

    The currently undertaken project deals with the investigation of the LabVIEW platform on an NI MyRIO embedded device to create the User Datagram Protocol (UDP) to connect the smart home. UDP is an efficient small network protocol that allows real-time data sharing among the components in the smart home. The system facilitates the easy process of interface sensor data collection, control signal transmission and connectivity of equipment in a smart home setting by using the LabVIEW graphical programming language. The MyRIO device performs minimallatency routing and broadcasting of data through UDP as a central controller. The solution demonstrates the effectiveness of UDP in pervasive computing in smart environments, which offer connectionless, fast communication that is suitable in Internet of Things applications. The system enhances responsiveness and reliability of a home automation and displays usefulness of LabVIEW and MyRIO as a tool in the embedded smart systems.

    Keywords : UDP, Smart home, LabView, MyRIO, Pervasive

    Author : N Naresh

    Title : Using LabVIEW to Implement the UDP Pervasive Protocol for a Smart Home Environment on MyRIO

    Volume/Issue : 2025;01(02)

    Page No : 08-12

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    Title : Journal of Electrical Electronics and Communication Engineering
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    Editor-in-Chief : Dr. B. Leela Kumari
    Frequency : Monthly
    Publisher : Surya Publishers
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