Progress on the self-service kiosk for testing the UV protection on sunglasses: polynomial and neural network approximation for calculating light transmittance

2015 ◽  
Author(s):  
M. M. Mello ◽  
L. Ventura
Keyword(s):  
Neural Network ◽  
Uv Protection ◽  
The Self ◽  
Light Transmittance ◽  
Self Service

scholarly journals LITERATURE REVIEW: PENGENALAN WAJAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Sriyati Sriyati ◽  
Arief Setyanto ◽  
Emha Emha Luthfi
Keyword(s):  
Neural Network ◽  
Literature Review ◽  
Convolutional Neural Network ◽  
School Environment ◽  
Service System ◽  
Facial Recognition ◽  
The Self ◽  
Hybrid Approaches ◽  
Network Methods ◽  
Self Service

Facial recognition to detect the identity of the gallon user's face in honesty in the school environment has many methods such as local, global, and hybrid approaches. The main problem of using the gallon of honesty is that the program uses the Self-service system, which is a self-service system, where the buyer serves itself unattended. The water charging activity is still found by users who are dishonest, such as taking water but not putting money into the place that has been provided, the thing that should be when the user fills the water then the user must also enter Money into the box provided. Because of the absence of supervision in this program of honesty then it is difficult to know who is dishonest in order to be able to do prevention for the dishonesty that has occurred when using the gallon of honesty program. Facial recognition using the Convolutional Neural Network (CNN) method to classify images. A literature review is used to analyse and focus on techniques in conducting facial recognition on the use of gallons of honesty. Keywords: facial recognition, convolutional neural network methods, a gallon of honesty

Effects of Self-Service Blood Pressure Measurement in Outpatient Obstetrics Clinics on waiting time, satisfaction of pregnant women in a tertiary hospital: Cross-sectional Survey (Preprint)

2020 ◽  
Author(s):  
Wanhua Xie ◽  
Yunhe Gao ◽  
Weichi Tan
Keyword(s):  
Blood Pressure ◽  
Pregnant Women ◽  
Waiting Time ◽  
Pressure Measurement ◽  
Medical Center ◽  
Blood Pressure Measurement ◽  
Outpatient Service ◽  
The Self ◽  
Clinical Practices ◽  
Self Service

BACKGROUND In the conventional method, the blood pressure values of pregnant women were measured by nurses in the obstetrics outpatient clinics, and then were entered into the computer system.The pregnant women should wait for long time to complete this process.We hypothesized that the self-service blood pressure measurement by pregnant women could be a better option rather than measuring the blood pressure by nurses. OBJECTIVE This study aimed to analyze the effect of self-service blood pressure measurement in obstetrical outpatient clinic on waiting time, satisfaction of pregnant women and outpatient volume, and provide reference for the optimization of outpatient service processes. METHODS This was a cross-sectional study. The waiting time and satisfaction degree of pregnant women, as well as the outpatient volume in the Obstetrics Outpatient Clinic were compared on the use of self-service blood pressure measurement system with the conventional method. A total of 519 pregnant women in the obstetrics outpatient clinics of Guangzhou Women and Children’s Medical Center in China participated in the satisfaction survey. The sample means were compared with t-test. RESULTS Compared to wait a longer queue for blood pressure measured by nurses, after using the self-service blood pressure measurement system, the waiting time of pregnant women for blood pressure measurement was significantly reduced from (18.57±9.68) min to (2.39±1.96) min (P<0.001). In addition, the satisfaction degree of pregnant women was significantly increased (P<0.001), and the monthly outpatient volume was significantly increased (P=0.02,P<0.05). CONCLUSIONS This study showed that after implementation of self-service blood pressure measurement, the waiting time of the pregnant women for blood pressure measurement was decreased significantly, while the satisfactory degree and outpatient flow were increased significantly, improving the cost-effectiveness.Therefore, this method is worth to be popularized in clinical practices. Relevance to clinical practice: How to use medical intelligence in clinical practices, replace manual works by self-service devices to address the high outpatient flow, high work load of medical personnel, and improve the experience of patients in seeking medical services are the most concerned issues by both patients as well as hospital managers.This study demonstrated that the self-service blood pressure measurement as a promising strategy in clinical practices and provided reference for the optimization of outpatient service processes. CLINICALTRIAL This study was approved by the Ethics Committee of the Guangzhou Women and Children’s Medical Center (approval number:SFE-KL-46401; Supplementary file 4). All the pregnant women included in this study signed the informed consent form.

scholarly journals An Intelligent Evaluation Method to Analyze the Competitiveness of Airlines

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhao ◽  
Xumei Chen
Keyword(s):  
Neural Network ◽  
Prior Knowledge ◽  
Evaluation Method ◽  
Standard Sample ◽  
Reference Value ◽  
The Self ◽  
Index Data ◽  
Som Neural Network ◽  
Simulation Results ◽  
Self Organizing

An intelligent evaluation method is presented to analyze the competitiveness of airlines. From the perspective of safety, service, and normality, we establish the competitiveness indexes of traffic rights and the standard sample base. The self-organizing mapping (SOM) neural network is utilized to self-organize and self-learn the samples in the state of no supervision and prior knowledge. The training steps of high convergence speed and high clustering accuracy are determined based on the multistep setting. The typical airlines index data are utilized to verify the effect of the self-organizing mapping neural network on the airline competitiveness analysis. The simulation results show that the self-organizing mapping neural network can accurately and effectively classify and evaluate the competitiveness of airlines, and the results have important reference value for the allocation of traffic rights resources.

scholarly journals Self-Service Restaurants in SARS-CoV-2 Pandemic

Encyclopedia ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 401-408
Author(s):  
Renata Puppin Zandonadi ◽  
Raquel Braz Assunção Botelho ◽  
Dayanne da Costa Maynard ◽  
Rita de Cassia Coelho de Almeida Akutsu
Keyword(s):  
The Self ◽  
Food Services ◽  
Operational System ◽  
Self Service

During the SARS-CoV-2 pandemic, the self-service restaurant sector, as well as other types of food services, are facing an unprecedented crisis needing to adapt their service to avoid closing their doors. With varied and quick meals, the self-service buffet is one of the most important types of outside services. However, the type of service where the clients follow a line on the buffet and serve their meals has impaired traditional restaurant operation during the SARS-CoV-2 pandemic and, perhaps, after it. In this sense, this study presents an overview of the self-service buffet restaurant operational system in the context of the SARS-CoV-2 pandemic.

scholarly journals Classification of chosen orchard pests using the self-organizing feature maps neural network

2012 ◽  
Vol 7 (47) ◽  
pp. 6357-6362 ◽  
Author(s):  
Pilarski Krzysztof ◽  
Boniecki Piotr ◽  
Slosarz Piotr ◽  
Dach Jacek ◽  
Boniecka Piekarska Hanna ◽  
...  
Keyword(s):  
Neural Network ◽  
The Self ◽  
Feature Maps ◽  
Orchard Pests ◽  
Self Organizing

scholarly journals Customer Safety Perception during a Self-Collection Process at IKEA Warehouse Self-Service

2019 ◽  
Vol 9 (2) ◽  
pp. 4678-4683
Keyword(s):  
Quantitative Method ◽  
Service Management ◽  
Safety Issue ◽  
The Self ◽  
Customer Perception ◽  
Collection Process ◽  
Safety Perception ◽  
Shopping Experience ◽  
Self Service ◽  
Insight Into

This study examines the self-service management of IKEA warehouse. IKEA has managed to make its product and service more popular not only on price but by creating a unique shopping experience for the customer. The objective of this research is to investigate the customer perception towards the self-collection process at IKEA warehouse self-service. A quantitative method was adopted targeting the IKEA customer. 196 respondents participated in answering the questionnaire. The result of this study offers a preliminary insight into the safety issue of the warehouse self-service implementation.

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