Aplikasi Client Server Berbasis Android pada Barbershop The Barbega Menggunakan Model Multi Channel - Single Phase

A common problem that is often faced by almost most Barbershop is in terms of serving customer queues, for barbershops who have many customers and have many service chairs, then of course a good customer queue service management concept is needed as well. One of the concepts of queuing services for customers is how queue information can reach customers without queuing at the location. For this reason, a queue service concept for customers is needed based on Android. Android is preferred because almost all smartphone users are currently based on Android. The application will be built based on the concept of client server so that the queue service will occur in real time. The Queuing model used is Multi Channel Single Phase, because in the queue at barbershop there will only be one stage of the process, but it requires a lot of queue flow. This can be seen in the structure of the development diagram. By using an Android-based application based on a single phase multi channel model that will be built it is ensured that customers will find it helpful, without having to spend time in a queue customers can order queues and see queues in real time so they can rush to barbershop when it is close to the queue

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On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Remote Sensing ◽

10.3390/rs13010089 ◽

2020 ◽

Vol 13 (1) ◽

pp. 89

Author(s):

Manuel Carranza-García ◽

Jesús Torres-Mateo ◽

Pedro Lara-Benítez ◽

Jorge García-Gutiérrez

Keyword(s):

Deep Learning ◽

Real Time ◽

Autonomous Vehicles ◽

Remote Sensing Data ◽

Autonomous Driving ◽

Two Stage ◽

Detection Systems ◽

One Stage ◽

Time Requirements ◽

Speed Accuracy

Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many generic deep learning architectures have been proposed for this problem, there is little guidance on their suitability when using them in a particular scenario such as autonomous driving. In this work, we aim to assess the performance of existing 2D detection systems on a multi-class problem (vehicles, pedestrians, and cyclists) with images obtained from the on-board camera sensors of a car. We evaluate several one-stage (RetinaNet, FCOS, and YOLOv3) and two-stage (Faster R-CNN) deep learning meta-architectures under different image resolutions and feature extractors (ResNet, ResNeXt, Res2Net, DarkNet, and MobileNet). These models are trained using transfer learning and compared in terms of both precision and efficiency, with special attention to the real-time requirements of this context. For the experimental study, we use the Waymo Open Dataset, which is the largest existing benchmark. Despite the rising popularity of one-stage detectors, our findings show that two-stage detectors still provide the most robust performance. Faster R-CNN models outperform one-stage detectors in accuracy, being also more reliable in the detection of minority classes. Faster R-CNN Res2Net-101 achieves the best speed/accuracy tradeoff but needs lower resolution images to reach real-time speed. Furthermore, the anchor-free FCOS detector is a slightly faster alternative to RetinaNet, with similar precision and lower memory usage.

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Meeting hard-real-time constraints using a client-server model of interaction

Proceedings Seventh Euromicro Workshop on Real-Time Systems ◽

10.1109/emwrts.1995.514323 ◽

2002 ◽

Author(s):

J.M. Adan ◽

M.F. Magalhaes ◽

K. Ramamritham

Keyword(s):

Real Time ◽

Time Constraints ◽

Client Server ◽

Hard Real Time

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A mobile game based on participatory sensing with real-time client-server architecture for large entertainment events

2020 XLVI Latin American Computing Conference (CLEI) ◽

10.1109/clei52000.2020.00045 ◽

2020 ◽

Author(s):

Gustavo de Freitas Martins ◽

Rosiane de Freitas ◽

Bruno Gadelha

Keyword(s):

Real Time ◽

Participatory Sensing ◽

Client Server ◽

Mobile Game ◽

Server Architecture ◽

Client Server Architecture

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DECcalc - A Program for the Calculation of Diffraction Elastic Constants from Single Crystal Coefficients

Materials Science Forum ◽

10.4028/www.scientific.net/msf.681.417 ◽

2011 ◽

Vol 681 ◽

pp. 417-419 ◽

Cited By ~ 11

Author(s):

Thorsten Manns ◽

Berthold Scholtes

Keyword(s):

Computer Program ◽

Single Crystal ◽

Elastic Constants ◽

Single Phase ◽

Proper Function ◽

Almost All

A Matlab based computer program was developed which gives the possibility to calculate the diffraction elastic constants (DEC) of macroscopically isotropic, single phase materials from their single crystal elastic constants. The proper function of the program was confirmed by means of results from literature. In almost all cases the results from the program DECcalc could reproduce the values and diagrams given in the appropriate publications. Discrepancies could always be assigned to the use of different single crystal coefficients.

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Analisis Sistem Kelistrikan pada Beban Motor Mesin Pencacah Sampah Plastik

Jurnal Listrik, Instrumentasi dan Elektronika Terapan (JuLIET) ◽

10.22146/juliet.v2i1.61278 ◽

2021 ◽

Vol 2 (1) ◽

Author(s):

Yanolanda Suzantry Handayani ◽

Junas Haidi ◽

Agun Mardian

Keyword(s):

Single Phase ◽

Plastic Waste ◽

Motor Power ◽

Electric Motors ◽

Motor Speed ◽

Speed Measurement ◽

Waste Load ◽

A Chain ◽

Almost All ◽

Modern Era

In this modern era, the activities of almost all humans depend on machines they make, such as single-phase induction electric motors, which are used to chop plastic waste. This chopping machine aims to help plastic collectors process plastic waste into small pieces, making it easier to pack and ship plastic out of the area for reprocessing. The plastic waste shredding machine is made using a crushing system with a fan-shaped blade construction consisting of 39 blades divided by two rotating rows opposite the cover box using a chain motor gear transmission element. Most of the chopper machines on the market use engines with diesel or diesel fuel, therefore a chopper machine using an electric motor is designed to compare the motor power without the addition of capacitors and capacitors. The waste load used for motors without additional capacitors, medium and large bottles measuring 375 ml to 1500 ml, the machine can chop as much as 800 grams with the highest measurement of power 578.0 Watt, current 4.192 A, the lowest motor speed measurement is 1414 rpm and the reducer speed is 22.9 rpm . The waste load used for motors with additional capacitors, medium and large bottles measuring 375 ml to 1500 ml, the machine can chop 1000 grams with the highest measurement of power 732.7 Watt, current 4.149 A, the lowest motor speed measurement is 1464 rpm and the reducer speed is 22.9 rpm.

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Comparing an Approximate Queuing Approach with Simulation for the Solution of a Cross-Docking Problem

Journal of Applied Mathematics ◽

10.1155/2017/4987127 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Roberta Briesemeister ◽

Antônio G. N. Novaes

Keyword(s):

Queue Length ◽

Computational Analysis ◽

Queuing Model ◽

Simulated Model ◽

Final Destination ◽

Cross Docking ◽

Efficiency Performance ◽

Management Concept ◽

Intermediate Facilities ◽

To Receive

Cross-docking is a logistics management concept in which products are temporarily unloaded at intermediate facilities and loaded onto output trucks to be sent to their final destination. In this paper, we propose an approximate nonstationary queuing model to size the number of docks to receive the trucks, so that their unloading will be as short as possible at the receiving dock, thus making the cross-docking process more efficient. It is observed that the stochastic queuing process may not reach the steady equilibrium state. A type of modeling that does not depend on the stationary characteristics of the process developed is applied. In order to measure the efficiency, performance, and possible adjustments of the parameters of the algorithm, an alternative simulation model is proposed using the Arena® software. The simulation uses analytic tools to make the problem more detailed, which is not allowed in the theoretical model. The computational analysis compares the results of the simulated model with the ones obtained with the theoretical algorithm, considering the queue length and the average waiting time of the trucks. Based on the results obtained, the simulation represented very well the proposed problem and possible changes can be easily detected with small adjustments in the simulated model.

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