scholarly journals Implementasi Sistem Perparkiran Otomatis dengan Menentukan Posisi Parkir Berbasis RFId

2018 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
FREEON ALKAPON IMBIRI ◽  
NANDANG TARYANA ◽  
DECY NATALIANA
Keyword(s):  
Monitoring System ◽  
Retrieval System ◽  
Data Retrieval ◽  
Continuous Data ◽  
Parking Space ◽  
C Language ◽  
Lack Of Information ◽  
Parking Lot ◽  
Big City ◽  
Long Time

ABSTRAKApartemen merupakan salah satu tempat tinggal yang ideal di kota metropolitan yang menyediakan banyak fasilitas bagi penghuninya. Salah satu fasilitas tersebut adalah tersedianya area parkir yang memadai dan nyaman bagi penghuni yang memiliki kendaraan, pada kenyataannya saat ini sistem perparkiran yang digunakan masih bermasalah. Masalah yang ditimbulkan dalam sistem perparkiran adalah kurangnya informasi mengenai lahan parkir yang kosong serta penempatan kendaraan yang tidak sesuai sehingga sering kali pemilik kendaraan membutuhkan waktu yang lama untuk sekedar menemukan tempat parkir yang kosong. Berdasarkan hal itu diperlukan sebuah sistem monitoring parkir yang memudahkan pengendara kendaraan yang hendak parkir. Tujuan penelitian ini adalah merancang dan merealisasikan model sistem monitoring perparkiran dengan fasilitas pemilihan area parkir menggunakan Teknologi RFId. Perangkat lunak yang digunakan pada sistem ini dirancang dengan menggunakan bahasa C#. Pada sistem ini proses pengambilan data secara kontinyu menggunakan mikrokontroler Atmega16 sebagai komponen kendali utamanya. Pengujian dilakukan secara simulasi pada miniatur perparkiran. Hasil pengujian model sistem perparkiran dapat menampilkan kondisi dari masing-masing area parkir yang ditampilkan pada display. Sistem pengambilan data secara kontinyu menggunakan kartu RFId sistem ini dapat menggantikan operator. Sensor cahaya (LED dan LDR) akan berlogika 1 jika ada mobil yang lewat. Kata kunci: Parkir, RFId, LED, LDR, Mikrokontroler, Atmega16, Microsoft Acess, C#. ABSTRACT Apartment is an ideal place of living in a big city ,it provides a lot of facilities .One of apartment facilities is a parking lot that are adequate and comfortable for its occupants who have vehicles . Problems caused in the parking system is the lack of information regarding the parking lot is empty and the placement of the vehicle that is not in accordance with the wishes so that often the owner of the vehicle takes a long time to just find an empty parking space. Based on that required a monitoring system parking facilitate motorists want to park. The purpose of this study was to design and to make a realization of parking monitoring system where could be choosen the parking lot with RFId Technology.The software used in the system is designed using the C # language. In this system, the process to taking the data with microcontroller Atmega 16 as a main controller. The trial for this system done with simulation in a miniatur parking area. The result of the trial is the system can display about status of parking area. Continuous data retrieval system using RFID cards, and the system can replace the operator. The light sensor (LED AND LDR) to logic 1 if no passing cars.Keywords: Parking, RFId, LED, LDR, Microcontroler, Atmega16, Microsoft Acess, C#

scholarly journals Pengembangan Deteksi Citra Mobil untuk Mengetahui Jumlah Tempat Parkir Menggunakan CUDA dan Modified YOLO

2019 ◽  
Vol 6 (4) ◽  
pp. 413 ◽  
Author(s):  
Sisco Jupiyandi ◽  
Fadhil Rizqullah Saniputra ◽  
Yoga Pratama ◽  
Muhammad Robby Dharmawan ◽  
Imam Cholissodin
Keyword(s):  
Parallel Computing ◽  
Computing Time ◽  
Gpu Programming ◽  
Parking Space ◽  
Test Results ◽  
Processing Data ◽  
Average Accuracy ◽  
Parking Lot ◽  
Long Time ◽  
Speed Up

<p class="Abstrak">Besarnya lahan pada parkir dan jumlah kendaraan roda empat dalam hal ini adalah mobil, dapat menjadi kendala bagi pengendara lain dalam mengetahui posisi parkir mana yang masih dapat digunakan. Sistem pengembangan perparkiran yang ada masih kurang maksimal dalam memanfaatkan lahan dan efisiensi waktunya. Berdasarkan banyaknya kendaraan mobil yang semakin bertambah, maka kebutuhan akan lahan parkir juga semakin dibutuhkan. Banyak sekali sistem yang belum dapat menangani berbagai permasalahan yang ada. Sistem ini dapat mengetahui jumlah slot pada lahan parkir dengan akurat sehingga memudahkan pengelola. Selain itu sistem ini juga dikembangkan agar waktu pencarian lahan parkir oleh pengguna parkir bisa sangat cepat. Sistem ini menggunakan penerapan pemrograman GPU yang dikombinasi dengan <em>Modified</em> Yolo (M-Yolo). GPU pada M-Yolo dibutuhkan untuk mengolah citra sekaligus mengolah data untuk mendeteksi citra mobil dan jumlah mobil secara paralel. Hasil uji coba menunjukkan bahwa dengan menggunakan GPU dibandingkan dengan CPU dapat mempercepat waktu komputasi rata-rata sebesar 0,179 detik dengan rata-rata akurasi sebesar 100%.</p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The width of parking lot and the number of cars in the parking lot can be an obstacle for motorists to know the parking area in which part is still empty. Parking systems that exist at this time are still not maximal in the utilization of parking lots and time efficiency. Based on the number of vehicles that are growing, then the need for parking space is also more needed. Many of the existing parking systems have not been able to handle the various problems. This system can know the number of slots on the parking lot, making it easier for operators to know the empty parking lot. In addition, this system will also be designed so that parking time search by parking users doesn’t take a long time. This system uses implementation of GPU programming mixed with Modified Yolo (M-Yolo). GPU on M-Yolo is needed to process images while processing data to detect car and the number of cars using parallel computing. The test results show that using the GPU compared to the CPU can speed up the average computing time by 0.179 seconds and it obtained an average accuracy of 100%.</em></p><p><em><strong><br /></strong></em></p>

scholarly journals Smart and efficient system for the detection of wrong cars parking

2021 ◽  
Vol 10 (4) ◽  
pp. 1968-1978
Author(s):  
A. H. M. Almawgani ◽  
Turki Alsuwian ◽  
Adam R. H. Alhawari ◽  
A. N. Alhuthari ◽  
M. A. Alhezabr ◽  
...  
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Detection System ◽  
Parking Space ◽  
Mobile System ◽  
Efficient System ◽  
Remote Monitoring System ◽  
Dc Motors ◽  
Parking Lot ◽  
Efficiency Rate

This paper presents a smart and efficient car-parking detection system. The proposed system is comprised of two cameras connected to a mobile system that is devised with Arduino, four DC motors, and PIR sensor placed strategically to monitor parking space, especially within its painted rectangular lines of each parking lot. The mobile monitoring system is automatically responsive to any move they detected as vehicles within the parking space along the rows of parking lots. Once detected, the captured images are processed using the MATLAB software. Any improperly parked cars detected, the cameras will identify their plate numbers, and snap and record it in a database. The designed prototype of the proposed system was tested in five presumed cases. In each case, ten images were processed, thus 50 images were eventually obtained. Out of the 50 images, 48 images corresponded to correct detection whereas the other two images corresponded to wrong detection. Accordingly, the efficiency rate of the proposed smart car-parking monitoring system is 96%. This system offers suitable solution in assisting drivers to park properly within each parking lot and owners of parking area to keep it organized via remote monitoring system.

scholarly journals Monitoring Perparkiran Mobil Berbasis Sensor Ultrasonik dan Mikrokontroller ESP8266

2019 ◽  
Vol 6 (2) ◽  
pp. 119
Author(s):  
Dahlia Nur ◽  
Yori Putra Pradana ◽  
Sahbuddin Abdul Kadir
Keyword(s):  
Monitoring System ◽  
Ultrasonic Sensor ◽  
Parking Space ◽  
Passenger Car ◽  
Parking Lots ◽  
Vehicle Owner ◽  
Parking Lot ◽  
Motorized Vehicles ◽  
Central Statistics

— The number of motorized vehicles in Indonesia is increasing rapidly every year. Based on data from the Central Statistics Agency (BPS) in 2017, the number of motorized vehicles with Passenger Car vehicles reached 15,493,068 units. The number has increased compared to 2016 amounted to 14,580,666 units. The increase as the number of motorized vehicles has an impact of the availability of parking lots in a number of locations. Every driver who will park the vehicle wants to get the location / lot of the parking lot as soon as possible. However, the unavailability of parking capacity information in a parking area causes the user to go around first to get an unload parking space, if the parking lot is full, the user even has to go back out because he did not get a parking space. This study designed and built an ESP8266 microcontroller and PING ultrasonic sensor provided information about the availability of parking lots were still unoccupied in this monitoring system. It is hoped can improve the efficiency of parking users who are looking for vacant parking lots and make it easier for parking admins in parking monitoring management. The results showed that the monitoring system that was built could provide information about the availability of empty parking lots and integrated databases to store vehicle owner information based on parking cards. Parking lot information is included on the parking card given to users entering the parking area.

Research on Construction and Function of Safety Monitoring Sys- tem for Integrated Construction Site Based on BIM

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Dan Xin
Keyword(s):  
Monitoring System ◽  
Safety Management ◽  
Safety Monitoring ◽  
Information Collection ◽  
Construction Site ◽  
Management Efficiency ◽  
Lack Of Information ◽  
Safety Monitoring System ◽  
And Function

The effective construction of safety monitoring system at construction site depends on perfect management system and advanced technical support. And the lack of information technology platform, resulting in reduced management efficiency, information is not accurate and other issues. Based on the construction site safety monitoring system to achieve the goal, to do a good job in advance prevention, to take the latest information collection technology RFID and BIM integrated comprehensive and effective monitoring of the construction site, constitute the main technology in the monitoring system, thus ensuring the construction site safety monitoring efficiency , Comprehensive, real-time, etc., on the management and technical two points to achieve the construction site safety monitoring, improve the quality of safety management.

scholarly journals A Set of Integral Grid-Coding Algebraic Operations Based on GeoSOT-3D

2021 ◽  
Vol 10 (7) ◽  
pp. 489
Author(s):  
Kaihua Hou ◽  
Chengqi Cheng ◽  
Bo Chen ◽  
Chi Zhang ◽  
Liesong He ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Information ◽  
Data Retrieval ◽  
Geospatial Data ◽  
Algebraic Operation ◽  
Real Time Processing ◽  
C Language ◽  
Time Processing ◽  
Binary Operations ◽  
Set Operations

As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral computable code to each grid has become an effective way to accelerate real-time processing. Researchers have proposed optimization algorithms for spatial calculations in specific scenarios. However, a complete set of algorithms for real-time processing using grid coding is still lacking. To address this issue, a carefully designed, integral grid-coding algebraic operation framework for GeoSOT-3D (a multilayer latitude and longitude grid model) is proposed. By converting traditional floating-point calculations based on latitude and longitude into binary operations, the complexity of the algorithm is greatly reduced. We then present the detailed algorithms that were designed, including basic operations, vector operations, code conversion operations, spatial operations, metric operations, topological relation operations, and set operations. To verify the feasibility and efficiency of the above algorithms, we developed an experimental platform using C++ language (including major algorithms, and more algorithms may be expanded in the future). Then, we generated random data and conducted experiments. The experimental results show that the computing framework is feasible and can significantly improve the efficiency of spatial processing. The algebraic operation framework is expected to support large geospatial data retrieval and analysis, and experience a revival, on top of parallel and distributed computing, in an era of large geospatial data.

scholarly journals Automated Parking Space Allocation during Transition with both Human-Operated and Autonomous Vehicles

2021 ◽  
Vol 11 (2) ◽  
pp. 855
Author(s):  
Mingkang Wu ◽  
Haobin Jiang ◽  
Chin-An Tan
Keyword(s):  
Autonomous Vehicles ◽  
Transition Period ◽  
Search Algorithm ◽  
Parking Space ◽  
Key Factors ◽  
Comprehensive Method ◽  
Space Allocation ◽  
Shortest Distance ◽  
Parking Lot ◽  
Ranking Order

As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to an AV without conflicting with the parking space chosen by the driver of a HV. A comprehensive assessment of the key factors that affect the preference and choice of a driver for a parking space is established by the fuzzy comprehensive method. The algorithm then generates a ranking order of the available parking spaces to first predict the driver’s choice of parking space and then allocate a space for the AV. The Floyd algorithm of shortest distance is used to determine the route for the AV to reach its parking space. The proposed allocation and search algorithm is applied to the examples of a parking lot with three designed scenarios. It is shown that parking space can be reasonably allocated for AVs.

Adoption of Innovation and Technological Advancement Deployment

2021 ◽  
Author(s):  
Karam Yateem ◽  
Mohammad Dabbous ◽  
Mohammad Kadem ◽  
Mohammed Khanferi
Keyword(s):  
Best Practices ◽  
Multiphase Flow ◽  
Monitoring System ◽  
Industrial Revolution ◽  
Service Providers ◽  
Data Retrieval ◽  
Successful Implementation ◽  
Technological Advancement ◽  
Field Equipment ◽  
Well Completion

Abstract The main objective of the paper is to outline initiatives associated with leveraging creativity and innovation to sustain operational excellence. It will cover processes, applications and best practices toward continually leveraging creative and innovation such as the development of innovation team toward creating a collaborative environment in the generation, identification and development of ideas and new technological advancement deployment. The processes described will cover (1) the continuous monitoring and management update of innovation submissions, implementation and self-development course completion, (2) recognition for value addition resultant from technological deployment, (3) Technical Review Committee (TRC) centralization and streamlining of evaluating technologies and best practices, (4) the assignment of challenging targets and (5) the initiation of special innovation campaigns for pressing and challenging matters has resulted in various major accomplishments. The establishment of the 4th Industrial Revolution (IR 4.0) team to address production engineering and well services challenges and collaborate for articulate, smart, more efficient and effective resolutions, process improvements and decision making. The results were remarkable with an incremental increase into intent to submit a patent file consideration, patenting, technology deployment and production of technical manuscripts addressing the unique achievements as well as the submission of awards applications. Technical collaboration toward triggering resolutions to ongoing operational challenges has resulted in various internal in-house built strides of best practices and other collaborative initiatives with other services providers such as: Intelligent Field Equipment Industrial Professionals Training: Special training for intelligent field equipment associated with smart well completion (SWC) exercising and optimization, data retrieval from multiphase flow meters (MPFMs) as well as a permanent downhole monitoring system (PDHMS) and conducting basic preventative maintenance (PM) requirements. Multiphase Flow Metering (MPFM) Advanced Monitoring System: An in-house developed MPFM system advanced monitoring to enable production/Intelligent Field engineers to monitor and diagnose MPFMs healthiness in all fields. It includes a validation mechanism to monitor and verify the different MPFM diagnostic data, alarming mechanism, flow rates and data visualization tools to verify the health of the installed base of equipment toward higher testing efficiency, reduction of manpower exposure to the field, and cost avoidance through minimizing operational logistical arrangements and minimization of unnecessary field visits by service providers. The ultimate intent is to heavily depend upon all employees to successfully propose solutions, and subject matter experts to coach employees in the successful implementation of practical resolutions to improve operations, optimize cost, and enhance employees’ satisfaction and engagement.

scholarly journals THE PREDICTION OF PARKING SPACE AVAILABILITY

Transport ◽  
2020 ◽  
Vol 35 (5) ◽  
pp. 462-473
Author(s):  
Helena Brožová ◽  
Miroslav Růžička
Keyword(s):  
Real Time ◽  
Personal Communication ◽  
Navigation Systems ◽  
Parking Space ◽  
Transition Matrices ◽  
Communication Services ◽  
Proposed Model ◽  
Harmful Emissions ◽  
Parking Lot ◽  
Car Park

Intelligent Parking Systems (IPS) allow customers to select a car park according to their preferences, rapidly park their vehicle without searching for the available parking space (place) or even book their place in advance avoiding queues. IPS provides the possibility to reduce the wastage of fuel (energy) while finding a parking place and consequently reduce harmful emissions. Some systems interact with in-vehicle navigation systems and provide users with information in real-time such as free places available at a given parking lot (car park), the location and parking fees. Few of these systems, however, provide information on the forecasted utilisation at specific time. This paper describes results of a traffic survey carried out at the parking lot of supermarket and the proposal of the model predicting real-time parking space availability based on these surveyed data. The proposed model is formulated as the non-homogenous Markov chains that are used as a tool for the forecasting of parking space availability. The transition matrices are calculated for different time periods, which allow for and include different drivers’ behaviour and expectations. The proposed forecasting model is adequate for potential use by IPS with the support of different communication means such as the internet, navigation systems (GPS, Galileo etc.) and personal communication services (mobile-phones).

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