-22b9b34417bc6092a74-41c4 20211030023108222 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2021 10 12 10.35940/ijitee.10.12 https://www.ijitee.org/download/volume-10-issue-12/ Department of Computer Science and Engineering, Integral University, Lucknow (U.P.), India. Ankita Yadav Mohammad Arif Department of Computer Science and Engineering, Integral University, Lucknow (U.P.), India. This research is conducted in order to deal with the main problem of traffic congestion and road accidents that is basically caused because of the improper parking management. . Hence, it is important that cities have a well-managed parking system. In the past various researches has been done to design a suitable smart paring algorithm. However, each research had their own pros and cons. Our research leads to a smart algorithm that is secure and is convenient enough to develop a system that can be manage the available slots and can notify the users about the available parking slot beforehand to the client. The result analysis clearly shows that the algorithm proposed and designed is more accurate than other algorithms used in the past. The proposed algorithm is designed using ACO, decision tree, and GPS mapping. The idea of working on this research was to provide a solution that is cost effective, helps people on large scale and maintains the laws and order. 10 30 2021 58 63 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7607.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/J76070891020.pdf M.Tech (Embedded systems), Kuppam Engineering College, Kuppam (Andhra Pradesh), India. Muppla Jagadeesh Mr.P Ajay Kumar Reddy Associate Professor, Department of Electrical and Computer Engineers, Kuppam Engineering College, Kuppam (Andhra Pradesh), India. Dr.S.Nanda Kishor Associate Professor, Department of Electrical and Computer Engineers, Kuppam Engineering College, Kuppam (Andhra Pradesh), India. Resolving the problems of individuals with Visual, Hearing, and Vocal Impairment through a solitary serving framework could be a tough task. Various current investigations focus on the resolution of the problems of 1 of them on top of challenges however not all. The work centers around chase down a noteworthy procedure that guides the externally weakened by permitting them to listen to what's self-addressed as text and it's accomplished by the tactic that catches the image through a camera and converts the content accessible as voice signals. This planned framework provides a path to people with Hearing weakening to image scan that is in morphology by discourse to message modification procedure and that we, in addition, provides a route to the vocally disabled to handle their voice by the guide of text to voice transformation strategy. each one of those 3 arrangements was regulated to be in an exceedingly solitary exceptional framework. each one of those exercises consists of the employment of Raspberry Pi. The outwardly barred individual's unit of measurement is helped by the cycle whereby the image to text and text to discourse is given by the Tesseract OCR (online character acknowledgment). The deaf individuals assist with the cycle of associate application that creates them grasp what the individual says is also shown attributable to the message. Vocally hindered individuals can pass on their message by text. Therefore totally different individuals will hear the message in an exceeding speaker. 10 30 2021 64 68 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K9463.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/K946309101121.pdf Department. of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. Md Kamal Uddin Amran Bhuiyan Department. of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. Mahmudul Hasan Department. of Computer Science and Engineering, Comilla University, Comilla, Bangladesh. Person re-identification (Re-id) is one of the important tools of video surveillance systems, which aims to recognize an individual across the multiple disjoint sensors of a camera network. Despite the recent advances on RGB camera-based person re-identification methods under normal lighting conditions, Re-id researchers fail to take advantages of modern RGB-D sensor-based additional information (e.g. depth and skeleton information). When traditional RGB-based cameras fail to capture the video under poor illumination conditions, RGB-D sensor-based additional information can be advantageous to tackle these constraints. This work takes depth images and skeleton joint points as additional information along with RGB appearance cues and proposes a person re-identification method. We combine 4-channel RGB-D image features with skeleton information using score-level fusion strategy in dissimilarity space to increase re-identification accuracy. Moreover, our propose method overcomes the illumination problem because we use illumination invariant depth image and skeleton information. We carried out rigorous experiments on two publicly available RGBD-ID re-identification datasets and proved the use of combined features of 4-channel RGB-D images and skeleton information boost up the rank 1 recognition accuracy. 10 30 2021 69 75 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L9566.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/L956610101221.pdf Department of Computer Science and Engineering, GITAM (Deemed to be University), Hyderabad. (Telangana), India. T Sudarshan Rao N Rohan Sai Department of Computer Science and Engineering, GITAM (Deemed to be University), Visakhapatnam. (Andhra Pradesh), India. D Koteswara Rao Department of Computer Science and Engineering, GITAM (Deemed to be University), Hyderabad. (Telangana), India. Modern-day computation has become indispensable in the healthcare industry. From medical image processing to cost reduction, Artificial Intelligence has proved its significance in solving complex healthcare problems. One of the primary areas in which it can be of greater use in hematology. Categorization of white-blood cells is imperative to pre-identify abnormalities. Through this paper, we collected image samples for 4 major White Blood cell groups, which are Neutrophils, Lymphocytes, Monocytes, and Eosinophils. The aim of this research is to put forward an intelligent system that efficiently alleviates the stringent requirement of a cytological study. The proposed system classifies 4 white-blood-cell types based on their morphological variation. With the experimental modulations that we chose to integrate, the presented model attained an accuracy of 97%. 10 30 2021 76 79 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L9574.10101221 https://www.ijitee.org/wp-content/uploads/papers/v10i12/L957410101221.pdf