Journal of Computational Intelligence and Secure Systems of Artificial Intelligence

Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal
Register Login
ISSN (Print):
ISSN (Online):
US CODEN :
Impact Factor:
  • TechnoSphere Publishers
  • editor.jcissai@gmail.com
  • editor@jcissai.com
  • ISSN No. 3107-5770
  • Home
  • About Journal
    • About Us
    • Privacy Policy
    • Aim and Scope
    • Open Access
  • Editorial Desk
    • Editorial Board Members
    • Executive Editorial Board Members
    • Associate Editorial Board Members
    • Join as Editorial /Reviewer Board Members
  • Submit Manuscript
    • Manuscript Submission
    • Guidelines to Author
    • Publication Ethics and Malpractice Statement
    • Paper Template
    • Copyright Form
  • Call for Papers
  • Indexing
  • Issues
    • Current Issue
    • Archieves
  • Contact Us
  • About Journal
    • About Us
    • Privacy Policy
    • Open Access
    • Contact Us
  • Editorial Desk
    • Editorial Board
    • Editorial Policies
    • Peer Reviewed Policies
    • Guidelines to Reviewer
    • List of Reviewers
  • Submit Manuscript
    • Manuscript Submission
    • Guidelines to Author
    • Publication Ethics,Malpractice Statement
    • Model Cover Letter
    • Copyright Form
  • Indexation
  • Content
    • Current Issue
    • Archieves
×
  • Home
  • About Journal
    • About Us
    • Privacy Polic
    • Open Access
    • Contact Us
  • Editorial Desk
    • Editorial Board
    • Editorial Policies
    • Peer Reviewed Policies
    • Guidelines to Reviewer
    • List of Reviewers
  • Submit Manuscript
    • Manuscript Submission
    • Guidelines to Author
    • Publication Ethics,Malpractice Statement
    • Model Cover Letter
    • Copyright Form
  • Call for Papers
  • Indexing
  • Issues
    • Current Issue
    • Archieves
  • Contact Us
  • Current Issue: [JCISSAI 2025; 01(04) : ]

    Original Article: CloudSim's Virtual Machine Allocation Policy in a Cloud Computing Environment
    • Ramesh
    • Pages: 01-04
    Full Text Download PDF XML Views (205) Downloads (113)
    Abstract

    In the present paper we are examining the CloudSim, a cloud computing scenario framework simulator and the Virtual Machine (VM) Allocation Policy. The process of virtually allocating the machines is an essential part of the cloud resource management that depends on its capability of changing the performance and energy costeffectiveness of a system and how costly a cloud resource can be. CloudSim enables the generality of customizing the virtual machine allocation policies, hence, enabling several simulation scenarios to be formulated depending on different resource delivery procedures as well as the workload status. This article reviews the same as concerns the functionality as well as the effects of various allocation strategies like the time-shared or space-shared rules on how resources are used and tasks executed. In the investigation, it is established that the increase in performance and scalability of cloud infrastructure may be optimized by the virtual machine allocation algorithms. Researchers can model new methods and test systems and thus because of flexibility, it is important to know that CloudSim is a useful tool in efficient allocation of virtual machines in dynamic clouds research.

    Keywords : Step topology, UML, Cloud analyst, CloudSim, Energy consumption

    Author : Ramesh

    Title : CloudSim's Virtual Machine Allocation Policy in a Cloud Computing Environment

    Volume/Issue : 2025;01(04)

    Page No : 01-04

    Original Article: An IEEE 802.11 Network Sense-based TDMA Registration Procedure
    • Aditya Varma
    • Pages: 05-07
    Full Text Download PDF XML Views (211) Downloads (97)
    Abstract

    To enhance the effectiveness of wireless network access to channels, it is proposed that, to reduce the transmission time of messages, a Time Division Multiple Access (TDMA) registration method of using network sense be based according to IEEE 802.11. Due to their fixed time-slots and unawareness to on-going transmissions, the traditional TDMA techniques often have problems with dynamism. The proposed technique, TDMA registration is enhanced by sensing active channels using IEEE 802.11 network and reassessing slot allocation accordingly. This adaptive method prompts higher usage of the bandwidth and decreases latency by avoiding collision and heightening synchronization in the registration process. Simulation findings indicate that the sense-based registration is fairer on the issues of network loading capacity and access latency as compared to other traditional systems and therefore acceptable in wireless communication networks that are dense and inorganic.

    Keywords : IEEE 802.11, TDMA, WLAN

    Author : Aditya Varma

    Title : An IEEE 802.11 Network Sense-based TDMA Registration Procedure

    Volume/Issue : 2025;01(04)

    Page No : 05-07

    Original Article: Creation of a Quranic Reciter Identification System using the GMM Classifier and MFCC
    • Venkatesh
    • Pages: 08-10
    Full Text Download PDF XML Views (225) Downloads (115)
    Abstract

    This research presents the design of Quranic Reciter Identification System based on Mel-Frequency Cepstral Coefficients (MFCC) Feature extract, and Gaussian Mixture Model (GMM) classifier. The algorithm aims at identifying each Quran reciter with a unique vocal characteristic. Spectral features of recitation audio are recorded by MFCC, which is effective in recording the tonalities of every voice of the reciter. The reciters are consequently grouped based on approximate probability distribution in voice pattern that is obtained by means of GMM, which models the retrieved attributes. Based on the outcomes of the experiment, in even alternative acoustic conditions, the system is capable of discriminating between many reciters, high levels of accuracy. The work contributes to the fields of speaker identification and Islamic audio processing and can be applied in archival recordings, verification of recordings and individual Quranic study.

    Keywords : Speaker identification, GMM, MFCC, Quranic recitation

    Author : Venkatesh

    Title : Creation of a Quranic Reciter Identification System using the GMM Classifier and MFCC

    Volume/Issue : 2025;01(04)

    Page No : 08-10

    Original Article: Data Concealment in Image Complex Regions Using Ant Colony Optimisation
    • D Divya Bharati and P Sneha Latha
    • Pages: 11-15
    Full Text Download PDF XML Views (127) Downloads (61)
    Abstract

    To enhance security and imperceptibility of concealed data, the study proposes data concealment approach within picture complex-areas using Ant Colony Optimisation (ACO). The algorithm optimizes the embedding of data and minimises the visual distortion involving focusing more on complex part of an image where the textures and edges would cover the changes more efficiently. Based on the foraging nature of ants, ACO has been applied to combine robustness and unperceptiveness when selecting the most optimal pixel locations to embed data. Experimental results point out that the ACO-based method achieves the best in peak signal to noise ratio (PSNR) and structural similarity (SSIM) in effectively hiding data with utmost minimal impact on image quality when compared to conventional methods. It can be deployed in digital watermarking and secret communication due to its impressive optimisation that ensures secure and efficient hiding of data.

    Keywords : Pheromone matrix, Steganalysis, Ant colony optimization, Edge detection, LSB, Steganography

    Author : D Divya Bharati and P Sneha Latha

    Title : Data Concealment in Image Complex Regions Using Ant Colony Optimisation

    Volume/Issue : 2025;01(04)

    Page No : 11-15

    Original Article: Hybrid WebRTC Signalling System for Bidirectional and Unidirectional Video Conferences
    • M Gopala Rao
    • Pages: 16-20
    Full Text Download PDF XML Views (126) Downloads (63)
    Abstract

    The present research captures a multipurpose signaling protocol that can be utilized to deliver a hybrid WebRTC environment that can support a single direction video conference as well as bi-directional video conference. Since the traditional WebRTC signaling is based on the use of centralized servers, its scalability may be limited and cause latency. Being the blend of the decentralized and the centralized methods of signaling, the introduced system is more flexible, more celeb, and more reliable. The system can fulfill the broadcast-style one-manner communication in the unidirectional mode that serves the webinars or operates the types of broadcasting, and the bidirectional mode is more universal where both the participants are expressed with two-way roughly voice and video channels. The hybrid model dynamically sets the signaling path according to user role, network condition as well as type of communication. According to experimental tests, there is less traffic on the server, less connection setting delay and enhanced user experience. This architecture suits with scalable real time video applications that are applied in the media broadcasting, business, and instructional sectors.

    Keywords : Wide area network (WAN), Quality of experience (QoE), Local area network (LAN), Mesh topology, Socket. IO, The real-time web communication (WebRTC), Web new signalling mechanism (WebNSM)

    Author : M Gopala Rao

    Title : Hybrid WebRTC Signalling System for Bidirectional and Unidirectional Video Conferences

    Volume/Issue : 2025;01(04)

    Page No : 16-20

    1 
    Archives

    Volume-01 (2025)

    • Issue-01
    • Issue-02
    • Issue-03
    • Issue-04
    News Board
    ISSN: 3107-5770 Peer Review Policy and Procedure Policy of Plagiarism Detection Conference Proceedings Publication Current Issue - Volume 01, Issue 04, August 2025 Article Processing Charges
    Cover Page
    Title : JOURNAL OF ENGINEERING TECHNOLOGY AND SCIENCES
    ISSN(Print) : ISSN(Online) :
    USCODEN :
    Editor-in-Chief : Dr. B. Leela Kumari
    Frequency : Monthly
    Publisher : Surya Publishers
    Manuscript Status

    Enter your Manuscript Number to know status of your Manuscript
    Submit Your Manuscript

    Abstracted and Indexed In

    Quick Links

    • Current Issue
    • Editorial Board
    • Archieves
    • Guidelines to Authors
    • Contact Us

    Connect with us

    Facebook
    Twitter
    LinkedIn

    Partner With us

    View All
    Copyright © 2025 Journal of Computational Intelligence and Secure Systems of Artificial Intelligence.
    free website hit counter