scholarly journals Intelligent System for Training and Assessment of Basketball Referee in Sports Event Using Intelligent Sensor

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qianqian Wang ◽  
Jie Ren ◽  
Haitao Yang ◽  
Yangjie Sun
Keyword(s):  
Solution Method ◽  
Intelligent System ◽  
Recognition Rate ◽  
Evaluation Process ◽  
Intelligent Sensor ◽  
Training Assessment ◽  
Sports Events ◽  
Intelligent Sensors ◽  
Angle Data ◽  
Assessment Result

Aiming at the problem of the fairness of the judgment results in the traditional basketball referee training and evaluation process affected by external factors, an intelligent system for training and assessment of basketball referees in sports events based on intelligent sensors is proposed. We collect the judged poses of basketball referees by wearing intelligent sensor devices, store the collected information in the database using the converter, and analyze the pose data with the quaternion pose solution method based on complementary filters. According to the comparator, the analysis result is compared with the standard judgment information, and the action is judged whether the action conforms to the basketball judgment rules of the sports event. The judge’s action pose score is evaluated according to the judgment result, and the training assessment result is outputted. The results show that the system can clearly simulate the acceleration and pose angle data of the referee’s complex actions, the recognition rate of various basketball penalty poses is high, and the error of the pitch, yaw, and roll pose calculations is small. The response time of this system is 4 ms, when the number of requests sent by the client is 200 which is unanimously approved by the referees.

Intelligent system for measuring the level and mass of liquid in fuel tanks and tanks during pitching and tilting

Metrologiya ◽  
2021 ◽  
pp. 31-45
Author(s):  
Zh. A. Sukhinets ◽  
A. I. Gulin
Keyword(s):  
Intelligent System ◽  
Liquid Level ◽  
Level Gauge ◽  
Intelligent Sensor ◽  
Intelligent Sensors ◽  
Fuel Tanks ◽  
Individual Calibration ◽  
Surface Vibrations ◽  
Reliability Of Operation ◽  
Analytical Expressions

An overview of the existing methods for measuring the liquid level and their disadvantages in the case of surface vibrations is presented. A system for continuous measurement of the mass of liquids in fuel tanks and tanks during rolling and tilting of vehicles and ships, implemented in a level gauge based on intelligent sensors, is proposed. The sensors include a microcontroller with an individual calibration characteristic of the volume-level dependence, taking into account the shape of the tank or fuel tank, and nanosensors built into the intelligent sensor (ID) for measuring density, permittivity and ambient temperature. It is established that the actual metrological characteristics of the ID are significantly higher than the characteristics of traditional sensors. The number and dimensions of the plates of flat capacitors are justified and the scheme of their arrangement on the roof of the tanks is presented. The exclusion of movable elements increased the reliability of operation, simplified maintenance and design requirements of the measuring object. Analytical expressions for calculating the level and mass of the liquid, implemented by the microcontroller, are given. The use of the proposed measurement system with complex computational processing and taking into account corrections for temperature, density, humidity and permittivity of the liquid made it possible to increase the accuracy and stability of the level meter readings. Analytical expressions are derived that relate the liquid level and the output frequency of the generator from the composition of the level gauge.

RECOGNIZING HANDWRITTEN CHINESE CHARACTERS BY STROKE-SEGMENT MATCHING USING AN ITERATION SCHEME

1991 ◽  
Vol 05 (01n02) ◽  
pp. 175-197 ◽  
Author(s):  
SHENG-LIN CHOU ◽  
WEN-HSIANG TSAI
Keyword(s):  
Character Recognition ◽  
Contextual Information ◽  
Recognition Rate ◽  
Stable State ◽  
Evaluation Process ◽  
Iteration Scheme ◽  
Chinese Characters ◽  
Structure Information ◽  
Segment Matching ◽  
Set Up

The problem of handwritten Chinese character recognition is solved by matching character stroke segments using an iteration scheme. Length and orientation similarity properties, and coordinate overlapping ratios are used to define a measure of similarity between any two stroke segments. The initial measures of similarity between the stroke segments of the input and template characters are used to set up a match network which includes all the match relationships between the input and template stroke segments. Based on the concept of at-most-one to one mapping an iteration scheme is employed to adjust the match relationships, using the contextual information implicitly contained in the match network, so that the match relationships can get into a stable state. From the final match relationships, matched stroke-segment pairs are determined by a mutually-best match strategy and the degree of similarity between the input and each template character is evaluated accordingly. Certain structure information of Chinese characters is also used in the evaluation process. The experimental results show that the proposed approach is effective. For recognition of Chinese characters written by a specific person, the recognition rate is about 96%. If the characters of the first three ranks are checked in counting the recognition rate, the rate rises to 99.6%.

scholarly journals Performance Evaluation of Automatic Number Plate Recognition on Android Smartphone Platform

2017 ◽  
Vol 7 (4) ◽  
pp. 1973
Author(s):  
Teddy Surya Gunawan ◽  
Abdul Mutholib ◽  
Mira Kartiwi
Keyword(s):  
Character Recognition ◽  
Template Matching ◽  
Optical Character Recognition ◽  
Processing Time ◽  
Intelligent System ◽  
Recognition Rate ◽  
The Other ◽  
Other Hand ◽  
Additional Processing ◽  
Artificial Neural Network Ann

<span>Automatic Number Plate Recognition (ANPR) is an intelligent system which has the capability to recognize the character on vehicle number plate. Previous researches implemented ANPR system on personal computer (PC) with high resolution camera and high computational capability. On the other hand, not many researches have been conducted on the design and implementation of ANPR in smartphone platforms which has limited camera resolution and processing speed. In this paper, various steps to optimize ANPR, including pre-processing, segmentation, and optical character recognition (OCR) using artificial neural network (ANN) and template matching, were described. The proposed ANPR algorithm was based on Tesseract and Leptonica libraries. For comparison purpose, the template matching based OCR will be compared to ANN based OCR. Performance of the proposed algorithm was evaluated on the developed Malaysian number plates’ image database captured by smartphone’s camera. Results showed that the accuracy and processing time of the proposed algorithm using template matching was 97.5% and 1.13 seconds, respectively. On the other hand, the traditional algorithm using template matching only obtained 83.7% recognition rate with 0.98 second processing time. It shows that our proposed ANPR algorithm improved the recognition rate with negligible additional processing time.</span>

Research on Distribution Transformer Condition Assessment Method Considering State Variables Dimensionality Reduction

2013 ◽  
Vol 433-435 ◽  
pp. 1245-1249
Author(s):  
Hai Feng Liang ◽  
Zi Xing Liu
Keyword(s):  
Evaluation Process ◽  
Condition Assessment ◽  
Assessment Method ◽  
Initial Assessment ◽  
State Variables ◽  
Distribution Transformer ◽  
Core State ◽  
The Core ◽  
Eigen Value ◽  
Assessment Result

Compared with the transmission transformer condition assessment, less data is one of the major problems that limit distribution transformer condition assessment work. This paper intends to solve this problem through reducing state variables dimensionality. First, through analyzing the principle of every state variables of distribution transformer by use of the maximum Eigen-value approach, the core state collection of assessing the distribution transformer is formed and the state variables dimensionality is reducing. Then, the initial results of distribution transformer condition assessment are obtained by using core state variables. Thirdly, the sensitivity of the non-core state variables to the evaluation results is calculated. Finally, the initial assessment result is modified considering the non-core state variables change and the sensitivity to get the final result. Through the above proposed method, the evaluation process need only consider the core state variables and the change of non-core state variables. This method not only reduces the demand for data, but also ensures accuracy of the results using the sensitivity correction. The results of a condition assessment instance of distribution transformer verify the validity of the method.

A Sensor-Driven Approach to Distributed Shop Floor Planning and Control

2003 ◽  
Author(s):  
Lihui Wang ◽  
Weiming Shen ◽  
Xiaoqian Li ◽  
Sherman Lang
Keyword(s):  
Shop Floor ◽  
Seamless Integration ◽  
Intelligent Sensor ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
System A ◽  
Floor Planning ◽  
High Level ◽  
And Control ◽  
Made In

The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.

scholarly journals Face–Iris Multimodal Biometric Identification System

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 85 ◽  
Author(s):  
Basma Ammour ◽  
Larbi Boubchir ◽  
Toufik Bouden ◽  
Messaoud Ramdani
Keyword(s):  
Feature Extraction ◽  
Wavelet Transform ◽  
Gabor Filter ◽  
Singular Spectrum Analysis ◽  
Recognition Rate ◽  
Evaluation Process ◽  
Relevant Information ◽  
Recognition System ◽  
Identification System ◽  
New Feature

Multimodal biometrics technology has recently gained interest due to its capacity to overcome certain inherent limitations of the single biometric modalities and to improve the overall recognition rate. A common biometric recognition system consists of sensing, feature extraction, and matching modules. The robustness of the system depends much more on the reliability to extract relevant information from the single biometric traits. This paper proposes a new feature extraction technique for a multimodal biometric system using face–iris traits. The iris feature extraction is carried out using an efficient multi-resolution 2D Log-Gabor filter to capture textural information in different scales and orientations. On the other hand, the facial features are computed using the powerful method of singular spectrum analysis (SSA) in conjunction with the wavelet transform. SSA aims at expanding signals or images into interpretable and physically meaningful components. In this study, SSA is applied and combined with the normal inverse Gaussian (NIG) statistical features derived from wavelet transform. The fusion process of relevant features from the two modalities are combined at a hybrid fusion level. The evaluation process is performed on a chimeric database and consists of Olivetti research laboratory (ORL) and face recognition technology (FERET) for face and Chinese academy of science institute of automation (CASIA) v3.0 iris image database (CASIA V3) interval for iris. Experimental results show the robustness.

scholarly journals A GREY COMBINED COMPROMISE SOLUTION (COCOSO-G) METHOD FOR SUPPLIER SELECTION IN CONSTRUCTION MANAGEMENT

2019 ◽  
Vol 25 (8) ◽  
pp. 858-874 ◽  
Author(s):  
Morteza Yazdani ◽  
Zhi Wen ◽  
Huchang Liao ◽  
Audrius Banaitis ◽  
Zenonas Turskis
Keyword(s):  
Decision Making ◽  
Solution Method ◽  
Qualitative Evaluation ◽  
Evaluation Process ◽  
Assessment Method ◽  
Compromise Solution ◽  
Decision Matrix ◽  
Construction Company ◽  
Linear Programming Formulation ◽  
Weighting Methods

This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.

scholarly journals A Review of Semantic Sensor Technologies in Internet of Things Architectures

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-21 ◽  
Author(s):  
Gergely Marcell Honti ◽  
Janos Abonyi
Keyword(s):  
Internet Of Things ◽  
Essential Role ◽  
Contextual Information ◽  
Data Sources ◽  
Intelligent Sensor ◽  
Semantic Metadata ◽  
Sensory Data ◽  
Intelligent Sensors ◽  
High Level

Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.

Problems of Terminology in the Field of Intelligent Sensors and Systems

2010 ◽  
Vol 437 ◽  
pp. 434-438 ◽  
Author(s):  
Roald E. Taymanov ◽  
Ksenia Sapozhnikova
Keyword(s):  
Artificial Intelligence ◽  
State Standard ◽  
Measuring Systems ◽  
Intelligent Sensor ◽  
Intelligent Sensors

Terms and definitions in the field of sensors and measuring systems with the elements of artificial intelligence are not well-established. Nowadays, in Russia a draft of state standard “Intelligent Sensors and Intelligent Measuring Systems. Basic Terms and Definitions” is being under development. In accordance with the draft of the standard, the paper deals both with definitions and grounds of a number of terms such as “adaptive sensor”, “metrological self-check of sensors”, “metrological diagnostic check”, “intelligent sensor”, etc.

scholarly journals Environment aware ADL recognition system based on decision tree and activity frame

2018 ◽  
Vol 9 (1) ◽  
pp. 155-167 ◽  
Author(s):  
Nicholas Melo ◽  
Jaeryoung Lee
Keyword(s):  
Decision Tree ◽  
Activity Recognition ◽  
Intelligent System ◽  
Elderly Care ◽  
Recognition Rate ◽  
Recognition System ◽  
Smart House ◽  
Decision Tree Method ◽  
User Friendly ◽  
State Of The Environment

Abstract The interest towards robots for elderly care has been growing in the last years. Systems aiming to integrate robot interactive components and the user’s activity recognition system are increasing as well. This work presents an activity aware intelligent system that supports user in his/her daily life tasks. The proposed system aims to integrate three important aspects into a smart house application (environment monitoring, user activity recognition and user friendly interaction). The information gathered from sensors across the environment is structured as the state of the environment in a compacted form called activity frame. This specific frame is used by a predictor (based on the decision tree method), in order to recognize the activities that have been performed by the user inside his/her domestic environment. The recognized activity is used by an user-interactive component, which uses the predicted behavior as a guideline for its interaction planner. The presented activity recognition system was tested with the data provided by different smart home projects, and the recognition rate for the proposed predictor has high recognition rate compared to other similar ones. The architecture described by the sensory network allows the system to be easily implemented in real time in a smart house context.

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