Informatics Publishing Limited

J. Logeshwaran ¹, T. Kiruthiga ², V. Aravindarajan ³, Sharan Pravin Ravi ⁴

Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, IN
3 Department of Electronics and Communication Engineering, K.L.N. College of Engineering, IN
4 Department of Automation Control and Robotics, Sheffield Hallam University, GB

Abstract

At the present time photographic visual processing is rapidly moving towards the next stage. In addition, a variety of visual processing technologies are evolving, such as splitting image dimensions, calibration, pixel beautification, and high-resolution images. The impact of this digital visual processing technology has now greatly enhanced the opportunities for digital video processing technology and the source of its evolution. The vast industry of converting color images from black and white enables it to present even historical videos of the earlier period in a contemporary manner. In this paper, the segmentation based visual processing algorithm is proposed. The algorithm is designed to enhance resolution and clarity to a certain extent with multi-visual enhanced pixels. It also enhances the contrast, brightness and sharpness enhancement as it is much improved over the previous methods. This algorithm works on each image frame and enhances the overall visual function.

Keywords

Visual Processing, Visual Processing, Image Dimension, Calibration, Pixel, Segmentation, Resolution, Contrast, Brightness, Sharpness

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J. Logeshwaran ¹, M. Ramkumar ², T. Kiruthiga ³, Sharan Pravin Ravi ⁴

Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Computer Science and Engineering, HKBK College of Engineering, IN
3 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, IN
4 Department of Automation Control and Robotics, Sheffield Hallam University, GB

Abstract

In modern companies, the functions of divisions, departments and staff are provided by telecommunication transmitting analog and digital unit information via SCS. Such cable system refers to the use of copper or optical cable networks, passive and active switching devices. Structured cabling system or abbreviated SCS is a complex set of cable trunks and switching equipment that provide the transfer of various types of media data (audio, video, computer data) and is the basis for the operation and integration of telephone, local computer networks, security systems and other services. Many modern systems of security or communications today integrate a wide variety of interfaces into their arsenal, greatly expanding their capabilities and performance. In this paper a smart model based on high-speed communication network with the help of structured cabling system (SCS). Here the speed and bandwidth play the major role. The proposed system focused the highspeed communication between sender and receiver with some higher bandwidth optimization.

Keywords

Optical Cable Network, Switching Device, Structured Cabling System, Communication Network, Security System

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A. Vaniprabha ¹, R. Prakash ², T. Kiruthiga ¹

Affiliations
1 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology., IN
2 Department of Electronics and Communication Engineering, M.A.M College of Engineering, IN

Abstract

An access point is a wireless base station designed to provide wireless access to an existing network (wireless or wired) or to create an entirely new wireless network. Wireless communication is done through 5G broadband antenna design technology. Drawing an analogy, the access point can be conditionally compared to the tower of a cellular operator, the access point has a short range and the connection between the devices connected to it is carried out using 5G broadband antenna design technology. The range of a standard access point is approximately 200-250 meters, provided there are no obstacles at this distance. In most cases, wireless networks (using access points and routers) are built commercially to attract revenue from customers and tenants. In this paper the designing of high-speed communication network antenna for 5G broadband applications. This proposed 5G broadband antenna design acquirers have experience in preparing and implementing the following plans for implementing network infrastructure based on wireless solutions. It should be noted that the SSID (Wireless Network Identifier), Channel and Encryption Type must match for correct operation in Repeater and Bridge modes.

Keywords

Access Point, Base Station, Wireless Network, 5G Broadband Antenna Design, Cellular Operator, Routers, Communication Network

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J. Logeshwaran ¹, T. Kiruthiga ², Jaime Lloret ³

Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, India., IN
2 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, India., IN
3 Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Spain., ES

Abstract

Intelligent Decision Model for efficient resource allocation in 5G broadband communication networks is essential for ensuring the most efficient use of available resources. This model considers several factors, such as traffic demand, network topology, and radio access technology, to make the most efficient decisions about resource allocation. It is based on intelligent algorithms and advanced analytics, which allow the network to quickly and accurately identify the optimal resource allocation for a given situation. This model can reduce costs, improve network performance, and increase customer satisfaction. In addition, the Intelligent Decision Model can help operators reduce the complexity and cost of managing a 5G network. The intelligent decision model for efficient resource allocation in 5G broadband communication networks is based on a combination of artificial intelligence (AI) and optimization techniques. The proposed decision models can use AI to identify patterns in traffic and user behavior. In contrast, the proposed can use optimization techniques to maximize resource utilization and reduce latency in the network. This model can also leverage predictive analytics and machine learning algorithms to determine the most efficient allocation of resources. Additionally, the proposed model can use AI to detect and mitigate potential security threats and malicious activities in the network. the proposed IDM has reached 91.85% of accuracy, 90.05% of precision, 90.96% of recall and 91.33% of F1-score.

Keywords

Intelligent, Decision, Efficient, Resource, Allocation, 5G, Broadband, Communication, Networks.

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