scholarly journals Perancangan Sistem Parkir Pada Gedung Menara Palma Jakarta

Petir ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 231-241
Author(s):  
Anggi Oktaviani ◽  
Dahlia Sarkawi ◽  
Agus Priadi
Keyword(s):  
Radio Frequency Identification ◽  
The Road ◽  
Entry Time ◽  
Parking System ◽  
Frequency Identification ◽  
Automatic Parking ◽  
Motorized Vehicles ◽  
Computerized System ◽  
Parking Ticket ◽  
Better Than

Parking pool or parking area is a place provided for parking of motorized vehicles outside of the road whih is provided by individual or institution, including motorized vehicle storage and motorized vehicle garage. In managing the parking pool, the parking owner must have a system to facilitate the processing of the parking area. The existing parking system at Palma tower building Jakarta is still manual, that is by entering the vehicle number into the computer by operator, then printing. The parking ticket provided is only a form of paper containing the vehicle number and vehicle entry time. Payment transactions method made by parking operators are currently not efficient, because the level of officer error when calculate parking fees and change money is high. Deal with these various problems, an idea arises to create a subscription parking system by using an automated parking system. This automated parking system is named with an RFID system (Radio Frequency Identification). The design of this automatic parking system is the best solution to solve the problems that are already running. This computerized system is better than a manual system because this system can run more effectively and efficiently and it is more conducive than the previous system.

scholarly journals Development of Radio Frequency Identification (RFID) in the Campus Parking System based on Microcontroller

2021 ◽  
Vol 1783 (1) ◽  
pp. 012022
Author(s):  
Rahmad Hidayat ◽  
Rushendra ◽  
Salamatul Afiyah ◽  
Rosyidin Sufyani ◽  
Farhan Adani
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Parking System ◽  
Frequency Identification

scholarly journals REINFORCEMENT LEARNING BASED ANTI-COLLISION ALGORITHM FOR RFID SYSTEMS

2019 ◽  
pp. 155-168
Author(s):  
Murukesan Loganathan ◽  
Thennarasan Sabapathy ◽  
Mohamed Elobaid Elshaikh ◽  
Mohamed Nasrun Osman ◽  
Rosemizi Abd Rahim ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Radio Frequency Identification ◽  
Energy Efficient ◽  
Current Standard ◽  
Tag Identification ◽  
Rfid Systems ◽  
Order Of Magnitude ◽  
Control Message ◽  
Frequency Identification ◽  
Better Than

Efficient collision arbitration protocol facilitates fast tag identification in radio frequency identification (RFID) systems. EPCGlobal-Class1-Generation2 (EPC-C1G2) protocol is the current standard for collision arbitration in commercial RFID systems. However, the main drawback of this protocol is that it requires excessive message exchanges between tags and the reader for its operation. This wastes energy of the already resource-constrained RFID readers. Hence, in this work, reinforcement learning based anti-collision protocol (RL-DFSA) is proposed to address the energy efficient collision arbitration problem in the RFID system. The proposed algorithm continuously learns and adapts to the changes in the environment by devising an optimal policy. The proposed RL-DFSA was evaluated through extensive simulations and compared with the variants of EPC-C1G2 algorithms that are currently being used in the commercial readers. Based on the results, it is concluded that RL-DFSA performs equal or better than EPC-C1G2 protocol in delay, throughput and time system efficiency when simulated for sparse and dense environments while requiring one order of magnitude lesser control message exchanges between the reader and the tags.

The Application of RFID and Video Fusion Recognition Technology in Road Congestion Charging System

2014 ◽  
Vol 577 ◽  
pp. 1065-1069
Author(s):  
Zi Zhang ◽  
Yu Cong Hu ◽  
Chuan Chun Zhang ◽  
Yun Chen
Keyword(s):  
Radio Frequency Identification ◽  
Evidence Theory ◽  
Automatic Identification ◽  
License Plate ◽  
The Road ◽  
Charging System ◽  
Advantages And Disadvantages ◽  
Video Fusion ◽  
Video Recognition ◽  
Frequency Identification

Vehicle automatic identification is a key technology in the road toll system, which mainly uses vehicle radio frequency identification technology or license plate recognition technology based on video at presently. While Independent RFID technology and video recognition technology all have their advantages and disadvantages, this paper presents that fusion recognition technology of RFID and video can be used in road toll system, and D-S evidence theory was selected as the basis for the fusion of RFID and video, the model of RFID and video integration based on D-S was introduced. The fusion recognition technology will help improve the accuracy of vehicle identification.

Radio frequency identification: the big role player in health care management

2011 ◽  
Vol 25 (5) ◽  
pp. 490-505 ◽  
Author(s):  
Yahia Zare Mehrjerdi
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Healthcare Management ◽  
Healthcare Industry ◽  
Rfid Technology ◽  
Technology Study ◽  
Content Type ◽  
The Road ◽  
Management Literature ◽  
Frequency Identification

PurposeThis paper seeks to review the fundamental concepts of radio frequency identification (RFID) and to discuss the fact that the road to success for healthcare systems is the thorough management of patients, employees, equipment, medications, and records throughout the industry. Thereafter, it aims to prepare a deep review of the technology, study seven new cases on the topic of healthcare management and deliver a broad applications area thereof.Design/methodology/approachThe paper identifies key elements of RFID through the review of healthcare management literature and case studies. For this purpose, seven cases from the healthcare industry are reviewed to demonstrate the extent of the applications of RFID in this area.FindingsTo make healthcare management systems functional and successfully operational, RFID solutions can be used to reduce operating costs through management of patients, employees, equipment, medications, and records to improve tracking and tracing, and preventing the lost of resources under any circumstances.Originality/valueThis paper delivers a review of RFID on the healthcare industry. For this reason, the basic and key point on RFID technology is discussed and seven cases from the literature are reviewed.

scholarly journals A Cascaded Model Based on EfficientDet and YOLACT++ for Instance Segmentation of Cow Collar ID Tag in an Image

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6734
Author(s):  
Kaixuan Zhao ◽  
Ruihong Zhang ◽  
Jiangtao Ji
Keyword(s):  
Radio Frequency Identification ◽  
Dairy Farm ◽  
Average Precision ◽  
University Of Kentucky ◽  
Cascaded Model ◽  
Frequency Identification ◽  
The Common ◽  
Instance Segmentation ◽  
Segmentation Models ◽  
Better Than

In recent years, many imaging systems have been developed to monitor the physiological and behavioral status of dairy cows. However, most of these systems do not have the ability to identify individual cows because the systems need to cooperate with radio frequency identification (RFID) to collect information about individual animals. The distance at which RFID can identify a target is limited, and matching the identified targets in a scenario of multitarget images is difficult. To solve the above problems, we constructed a cascaded method based on cascaded deep learning models, to detect and segment a cow collar ID tag in an image. First, EfficientDet-D4 was used to detect the ID tag area of the image, and then, YOLACT++ was used to segment the area of the tag to realize the accurate segmentation of the ID tag when the collar area accounts for a small proportion of the image. In total, 938 and 406 images of cows with collar ID tags, which were collected at Coldstream Research Dairy Farm, University of Kentucky, USA, in August 2016, were used to train and test the two models, respectively. The results showed that the average precision of the EfficientDet-D4 model reached 96.5% when the intersection over union (IoU) was set to 0.5, and the average precision of the YOLACT++ model reached 100% when the IoU was set to 0.75. The overall accuracy of the cascaded model was 96.5%, and the processing time of a single frame image was 1.92 s. The performance of the cascaded model proposed in this paper is better than that of the common instance segmentation models, and it is robust to changes in brightness, deformation, and interference around the tag.

scholarly journals CoDRIVE – Delivering High Accuracy, Ubiquitous Positioning Through Combined Radio Navigation and Inertial Sensing Technologies

2020 ◽  
Author(s):  
Simon Roberts
Keyword(s):  
Radio Frequency Identification ◽  
Autonomous Vehicles ◽  
Low Cost ◽  
Maximum Error ◽  
Precision Data ◽  
The Road ◽  
Frequency Identification ◽  
High Precision Data ◽  
On The Road ◽  
The University

The CoDRIVE solution builds on R&D in the development of connected and autonomous vehicles (CAVs). The mainstay of the system is a low-cost GNSS receiver integrated with a MEMS grade IMU powered with CoDRIVE algorithms and high precision data processing software. The solution integrates RFID (radio-frequency identification) localisation information derived from tags installed in the roads around the University of Nottingham. This aids the positioning solution by correcting the long-term drift of inertial navigation technology in the absence of GNSS. The solution is informed of obscuration of GNSS through city models of skyview and elevation masks derived from 360-degree photography. The results show that predictive intelligence of the denial of GNSS and RFID aiding realises significant benefits compared to the inertial only solution. According to the validation, inertial only solutions drift over time, with an overall RMS accuracy over a 300 metres section of GNSS outage of 10 to 20 metres. After deploying the RFID tags on the road, experiments show that the RFID aided algorithm is able to constrain the maximum error to within 3.76 metres, and with 93.9% of points constrained to 2 metres accuracy overall.

scholarly journals Application of a Radio Frequency Identification System for Supporting the Performance of Motorcycle Parking in Narotama University

2017 ◽  
pp. 319-326
Author(s):  
Sri Wiwoho Mudjanarko ◽  
Tubagus Purworusmiardi
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Identification System ◽  
Accurate Data ◽  
Registration Process ◽  
Parking System ◽  
Parking Management ◽  
Frequency Identification ◽  
User Friendly ◽  
Parking Facilities

The increasing number of motorcycles in Indonesia creates enormous problems because of the hectic involved; thus, parking management becomes a big challenge. The applicability and the possibility of a Radio Frequency Identification (RFID) were studied in finding the solution of this pressing issue. The study was conducted at Narotama University which is located in Surabaya, East Java. This study was expected to find solutions related to provide parking facilities using RFID method to identify motorcycles. The goal of this study is to determine the number of motorcycle vehicles which is being parked electronically to facilitate the management in organizing motorcycle in parking facilities. Hence, the management can arrange the requirement of parking system in the future. From the study, it can be concluded that RFID can make the process faster and easier so that the line can significantly be reduced and provide more user friendly system because the system will give the information about parking availability. Moreover, this RFID parking system and the software can be more reliable and secured due to more complete and accurate data in the registration process required to the users.

iParking

2017 ◽  
Vol 8 (2) ◽  
pp. 1-24
Author(s):  
Ankita Khadsare ◽  
Gauri Jadhav ◽  
Sayali Mali ◽  
Shivani Nanaware
Keyword(s):  
Radio Frequency Identification ◽  
Metropolitan Areas ◽  
Android Application ◽  
Infrared Sensors ◽  
Design And Implementation ◽  
Ir Sensors ◽  
Parking System ◽  
Frequency Identification ◽  
Smart Parking ◽  
Radio Frequency Identification Devices

Finding a parking in most of the metropolitan areas, especially during the rush hours, is difficult for drivers nowadays. The iParking system proposed in this paper allows drivers to find and reserve the vacant parking slots through their smartphones and additionally support the principles of “Smart City.” The design and implementation of this proposed system called Reservation Based Smart Parking System (RSPS) is based on cloud computing and android application and finds availability of nearest parking slots. The objective is to reduce the time in finding the parking lots and avoid unnecessary traveling. The technology proposed in this paper is Infrared Sensors (IR Sensors) used for detecting the occupancy of parking slots. The iParking uses Radio Frequency Identification Devices (RFID) to identify and track a car. The methodology proposed in this paper can easily be compared with existing parking system in terms of reducing the fuel consumption.

scholarly journals Centralized Connectivity for Multiwireless Edge Computing and Cellular Platform: A Smart Vehicle Parking System

2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Aamir Shahzad ◽  
Jae-young Choi ◽  
Naixue Xiong ◽  
Young-Gab Kim ◽  
Malrey Lee
Keyword(s):  
Radio Frequency Identification ◽  
Web Application ◽  
Smart Devices ◽  
Integrated Network ◽  
Smart System ◽  
Mapping Strategy ◽  
Parking System ◽  
Frequency Identification ◽  
Real Time Information ◽  
Smart Vehicle

This study takes an intuitive step to develop the user-convenient smart vehicle parking system (SVPS), a smart system able to manage the massive crowd of vehicles during parking searching and do the better jobs of parking reservation and management, with the shorter-path processing tactics. For that, this study inclusively employed the mapping strategy, where the system parking points are prevalent, to assist the users to get the parking information fast and conveniently. This study is comprised of the several parking points systematically spread over the several locations and traceable over the available graphical map, and the overall information is easily accessible using smart devices. For parking information, a smart web application which is another important module of this study is designed, with which the SVPS system’s registered users are able to access all the services provided for smart vehicle parking searching and reservation in efficient and reliable ways. An integrated network approach, RFID (radio frequency identification) and wireless sensors network (WSN), called RF-WSN, is employed to retrieve the real-time information from the installed and configured sensor devices in RFID-WSN network.

The Stereoscopic Parking System Equipment of Electric Vehicles and its Application Mode Research

2013 ◽  
Vol 694-697 ◽  
pp. 1502-1507
Author(s):  
Qing Yu Ye
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Radio Frequency Identification ◽  
Development Trend ◽  
Internal Dynamic ◽  
Storage Space ◽  
Application Mode ◽  
Parking System ◽  
Frequency Identification ◽  
Charge Management

In view of the current situation of the stereoscopic parking system for the electric vehicles and its overall development trend, we first research on its key module technology. Then, we research on its internal dynamic management pattern, the application mode of radio frequency identification (RFID), the application mode of charge management system and the application mode of control system. Thus, the popularity of electric vehicles is promoted by the stereoscopic parking system with intelligence, efficiency and saving of storage space.

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