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Face Detection in Crowded Human Images by Bi-Linear Interpolation and Adaptive Histogram Equalization Enhancement
Issue:
Volume 3, Issue 4, December 2020
Pages:
68-75
Received:
11 October 2020
Accepted:
28 October 2020
Published:
9 November 2020
Abstract: Face detection is a common computer technology being used in human identification applications. It can also refer to the process of locating human faces in a visual scene. Face detection is a branched field of object detection where all objects in an image are detected including several classes like cars, trees, humans… etc. Also face detection problems branch into a lot of cases, some focus on frontal faces, others focus on side pose and so on. In this paper, a new face detection method based on Bilinear Interpolation image zooming method and image enhancement by Adaptive Histogram Equalization (AHE) method is proposed. The new method gives an encouraging results for crowded human images. By comparing the proposed method with the Viola-Jones algorithm, face detector using the cascade object detector, which supported in MATLAB, the new method gives excellent results in detecting human faces with different resolutions, poses and sizes. It succeeds in detecting most of the human faces in the tested images regardless of image sizes. The new method is tested on several images in Pratheepan dataset with crowded humans. Also, I tested the new method on many images collected from the Internet, whose can be classified as crowded human images. Experimental results show that the proposed Ad_L_Hist method is more efficient in detecting human faces in crowded human images.
Abstract: Face detection is a common computer technology being used in human identification applications. It can also refer to the process of locating human faces in a visual scene. Face detection is a branched field of object detection where all objects in an image are detected including several classes like cars, trees, humans… etc. Also face detection pro...
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Investigation & Scrutiny of Protected Assignment Supervision Systems for Mobile Enabled with Internet Protocol Version 6 Networks
Arpit Bhushan Sharma,
Harshit Kargeti
Issue:
Volume 3, Issue 4, December 2020
Pages:
76-85
Received:
28 September 2020
Accepted:
2 November 2020
Published:
11 November 2020
Abstract: Advancement in remote technologies advances the grants of Internet Protocol version 6 (IPv6) empowered handheld cell phones to get to the cyberspace globally. An Internet Protocol address is requisite to perceive the internet versatile cloud-host system. Compact (Mobile Internet Protocol version 6) MIPv6 scheme engages a flexible host to move beginning with one subnet then onto the following without changing its leaving Internet Protocol address. For IPv6 based adaptability, IETF proposed that Standard Mobile IPv6 as first movability the officials scheme. It gives an incredible and adaptable approach to deal with handover the executives. Standard Mobile Internet Protocol version 6 is a host-based worldwide versatility the board plot and suffer from essential issues, for example, flagging overhead, handover idleness and parcel misfortune. Accordingly, IETF has normalized confined system based Versatility Management intends to vanquish issues related with overall host-based convey ability the board plans termed as Proxy Mobile Internet Protocol version 6 (PMIPv6). It decreases handover inactivity and parcel misfortune contrasted with have based versatility the executives conspire impressively, yet, experiences security issues. Later on, scientists planned made sure about PMIPv6 conventions for confirmation of portable just as system gadgets inside LMD. The paper audits different handover the board plans for secure handover the executives. The exhibition of different plans subjectively examined on fundamental boundaries, for example, verification cost, flagging cost, parcel misfortune and so forth.
Abstract: Advancement in remote technologies advances the grants of Internet Protocol version 6 (IPv6) empowered handheld cell phones to get to the cyberspace globally. An Internet Protocol address is requisite to perceive the internet versatile cloud-host system. Compact (Mobile Internet Protocol version 6) MIPv6 scheme engages a flexible host to move begin...
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Design and Implementation of Intelligent Medical System for Chronic Diseases
Issue:
Volume 3, Issue 4, December 2020
Pages:
86-91
Received:
27 October 2020
Accepted:
16 November 2020
Published:
27 November 2020
Abstract: With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.
Abstract: With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind ...
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