scholarly journals Statistical Learning for Service Quality Estimation in Broadband PLC AMI

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 684 ◽  
Author(s):  
Dong Kim ◽  
Beom Chung ◽  
Young Chung
Keyword(s):  
Success Rate ◽  
Statistical Learning ◽  
Power Line Communication ◽  
Test Results ◽  
Model Quality ◽  
Quality Estimation ◽  
Rate Estimate ◽  
Communication Performance ◽  
Time Of Use Pricing ◽  
Advanced Metering

In this paper, we propose a method to estimate communication performance for the advanced metering infrastructure that employs the power line communication (PLC) technology. Using bit-per-symbol signals from the PLC network management system, we estimate a PLC model quality in terms of packet success rate based on statistical learning. We also verify the accuracy of the estimations by comparing them with measured communication test results at test sites. Finally, from the packet success rate estimate, the qualities of services, such as meter readings and time-of-use pricing data downloading under several metering protocol sequences, are investigated through a mathematical analysis, and numerical results are provided.

scholarly journals Power Line Communication For Automotive Applications

2021 ◽  
Author(s):  
Xiaoguang Huang
Keyword(s):  
Control Method ◽  
Impulsive Noise ◽  
Noise Analysis ◽  
Power Line ◽  
Future Research ◽  
Power Line Communication ◽  
Automotive Applications ◽  
Communication Performance ◽  
Research Areas ◽  
Current Lines

The following thesis is an investigation on adopting Power Line Communication (PLC) technology from AC (Alternating Current) lines to DC (Direct Current) lines and possibility to apply it on automotive applications. Prototype modules are built with existing PLC chip to verify communication performance over the battery DC lines. In order to ensure reliable data transmission over the vehicle DC power lines, research is expanded to analyze the characteristics of vehicle DC-bus network. Typical automotive components are selected and tested for interference and noise analysis. Detailed studies on impulsive noise and its statistic distribution are presented. As well, the characteristics of Lead-acid battery are reviewed on the possible impacts to carrier frequency. Overall, PLC technology is promising for automotive applications. But the test result shows there is limitation to apply existing PLC product to automotive DC applications. Directly adopting the control method used in AC application to DC is not trivial. Further study and future research areas are recommended to be conducted to mature the PLC technology being utilized on automotive systems.

scholarly journals RULE-BASED SYLLABIFICATION OF KOREAN WORDS WRITTEN IN LATIN USING DETERMINISTIC FINITE AUTOMATA MODELS

2018 ◽  
Vol 2 (1) ◽  
pp. 75-85
Author(s):  
Rouly Doharma Sihite ◽  
Aditya Wikan Mahastama
Keyword(s):  
Success Rate ◽  
Statistical Approach ◽  
Markov Models ◽  
Finite Automata ◽  
Writing System ◽  
Test Results ◽  
Writing Systems ◽  
Research Focus ◽  
Finite State ◽  
Catch Up

Transliteration is still a challenge in helping people to read or write from one to another writing systems. Korean transliteration has been a topic of research to automate the conversion between Hangul (Korean writing system) and Latin characters. Previous works have been done in transliterating Hangul to Latin, using statistical approach (72.2% accuracy) and Extended Markov Models (54.9% accuracy). This research focus on transliterating Latin (romanised) Korean words into Hangul, as many learners of Korean began using Latin first. Selected method is modeling the probable vowel and consonant forms and problable vowel and consonant sequences using Finite State Automata to avoid training. These models are then coded into rules which applied and tested to 100 random Korean words. Initial test results only 40% success rate in transliterating due to the nature that consonants have to be labeled as initial or final of a syllable, and some consonants missed the modeled rules. Additional rules are then added to catch-up and merge these consonants into existing proper syllables, which increased the success rate to 92%. This result is analysed further and it is found that certain consonants sequence caused syllabification problem if exist in a certain position. Other additional rules was inserted and yields 99% final success rate which also is the accuracy of transliterating Korean words written in Latin into Hangul characters in compund syllables.

scholarly journals Communication Performance Assessment for Advanced Metering Infrastructure

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 88 ◽  
Author(s):  
Jen-Hao Teng ◽  
Chia-Wei Chao ◽  
Bin-Han Liu ◽  
Wei-Hao Huang ◽  
Jih-Ching Chiu
Keyword(s):  
Smart Grids ◽  
Small Scale ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Communication Performance ◽  
Reading Success ◽  
Efficient Communication ◽  
Advanced Metering ◽  
Communication Paths

Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.

scholarly journals Analysis of Determining Target Accuracy of Rocket Launchers on Xbee-Pro based Wheeled Robots to Realize the Development of Technology on the Military Field

2020 ◽  
Vol 2 (3) ◽  
pp. 114-118
Author(s):  
Anggara Trisna Nugraha ◽  
Dadang Priyambodo
Keyword(s):  
Control System ◽  
Success Rate ◽  
Control Device ◽  
Test Results ◽  
Servo Motor ◽  
Wheeled Robots ◽  
The Military

At this time the rocket launcher is still controlled by humans who utilize technology using a PC and a servo motor as a control device to determine the accuracy at the shooting angle, in designing this robot complete components are needed so that the robot can work automatically according to the input given, the rocket launcher robot controlled automatically by communication from the PC after which the command is forwarded to the microcontroller using a USB TTL cable and sent to the Xbee-pro sender circuit then transmitted and received by the Xbee-pro receiver then transmitted to the microcontroller and processed to the control system on the launcher a rocket in the form of a servo motor and a relay as a component in the firing of the rocket launcher. Based on the test results, the robot has been able to direct the rocket launcher at a predetermined angle and has been able to carry out firing actions on each rocket starting from manual rockets, double rockets, triple rockets and full rockets with a success rate of up to 80%.

Development of a Robotic Harvesting Mechanism for Button Mushrooms

2021 ◽  
Vol 64 (2) ◽  
pp. 565-575
Author(s):  
Mingsen Huang ◽  
Xiaohu Jiang ◽  
Long He ◽  
Daeun Choi ◽  
John Pecchia ◽  
...  
Keyword(s):  
Success Rate ◽  
Air Pressure ◽  
List Type ◽  
Test Results ◽  
End Effector ◽  
Suction Cup ◽  
System A ◽  
Laboratory Test Results ◽  
Target Locations ◽  
Robotic Harvesting

HighlightsA robotic mushroom picking mechanism was developed, including positioning, picking, and stipe trimming.The picking end-effector was designed based on a bending motion around the stipe-substrate joint.The overall success rate of the developed picking mechanism reached 91.4%.Acting time and air pressure for the suction cup were studied in mushroom bruise level tests.Abstract. Button mushroom (Agaricus bisporus) harvesting mainly relies on costly manpower, which is time-consuming and labor-intensive. Robotic harvesting is an alternative method to address this challenge. In this study, a robotic mushroom picking mechanism was designed, including a picking end-effector based on a bending motion, a four degree-of-freedom (DoF) positioning end-effector for moving the picking end-effector, a mushroom stipe trimming end-effector, and an electro-pneumatic control system. A laboratory-scale prototype was fabricated to validate the performance of the mechanism. Bruise tests on the mushroom caps were also conducted to analyze the influence of air pressure and acting time of the suction cup on bruise level. The test results showed that the picking end-effector was successfully positioned to the target locations. The success rate of the picking end-effector was 90% at first pick and increased to 94.2% after second pick. The main reason for the failures was inclined growing condition of those mushrooms, resulting in difficulties in engaging the mushroom cap with the suction cup facing straight downward. The trimming end-effector achieved a success rate of 97% overall. The bruise tests indicated that the air pressure was the main factor affecting the bruise level, compared to the suction cup acting time, and an optimized suction cup may help to alleviate the bruise damage. The laboratory test results indicated that the developed picking mechanism has potential to be implemented in automatic mushroom harvesting. Keywords: Bruise test, End-effector, Mushroom, Robotic harvesting.

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