scholarly journals Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants

2021 ◽  
Vol 2042 (1) ◽  
pp. 012008
Author(s):  
Hicham Johra ◽  
Rikke Gade ◽  
Mathias Østergaard Poulsen ◽  
Albert Daugbjerg Christensen ◽  
Mandana Sarey Khanie ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Analysis ◽  
Office Building ◽  
Visual Comfort ◽  
Feedback Control System ◽  
Visual Discomfort ◽  
Facial Analysis ◽  
Video Footage ◽  
Artificial Intelligence Algorithm ◽  
Shading Devices

Abstract Glare is a common local visual discomfort that is difficult to identify with conventional light sensors. This article presents an artificial intelligence algorithm that detects subjective local glare discomfort from the image analysis of the video footage of an office occupant’s face. The occupant’s face is directly used as a visual comfort sensor. Results show that it can recognize glare discomfort with around 90% accuracy. This algorithm can thus be at the basis of an efficient feedback control system to regulate shading devices in an office building.

scholarly journals Performance Analysis of Photovoltaic Integrated Shading Devices (PVSDs) and Semi-Transparent Photovoltaic (STPV) Devices Retrofitted to a Prototype Office Building in a Hot Desert Climate

2020 ◽  
Vol 12 (23) ◽  
pp. 10145
Author(s):  
Abdelhakim Mesloub ◽  
Aritra Ghosh ◽  
Mabrouk Touahmia ◽  
Ghazy Abdullah Albaqawy ◽  
Emad Noaime ◽  
...  
Keyword(s):  
Essential Feature ◽  
Field Measurements ◽  
Energy Performance ◽  
Office Building ◽  
Visual Comfort ◽  
Extra Energy ◽  
Shading Devices ◽  
Parametric Analyses ◽  
The Impact ◽  
Desert Climate

This paper presents the impact on energy performance and visual comfort of retrofitting photovoltaic integrated shading devices (PVSDs) to the façade of a prototype office building in a hot desert climate. EnergyPlus™ and the DIVA-for-Rhino© plug-ins were used to perform numerical simulations and parametric analyses examining the energy performance and visual comfort of five configurations, namely: (1) inclined single panel PVSDs, (2) unfilled eggcrate PVSDs, (3) a louvre PVSD of ten slats tilted 30° outward, (4) a louvre PVSD of five slats tilted 30° outward, and (5) an STPV module with 20% transparency which were then compared to a reference office building (ROB) model. The field measurements of an off-grid system at various tilt angles provided an optimum tilt angle of 30°. A 30° tilt was then integrated into some of the PVSD designs. The results revealed that the integration of PVSDs significantly improved overall energy performance and reduced glare. The unfilled eggcrate PVSD did not only have the highest conversion efficiency at ȵ 20% but generated extra energy as well; an essential feature in the hot desert climate of Saudi Arabia.

scholarly journals Effects of louvers shading devices on visual comfort and energy demand of an office building. A case of study

2017 ◽  
Vol 140 ◽  
pp. 207-216 ◽  
Author(s):  
Francisco Fernández Hernández ◽  
José Manuel Cejudo López ◽  
José Miguel Peña Suárez ◽  
M Carmen González Muriano ◽  
Simón Carrillo Rueda
Keyword(s):  
Energy Demand ◽  
Office Building ◽  
Visual Comfort ◽  
Shading Devices

Press “A” for Artificial Intelligence in Agriculture: A Review

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Yogesh Awasthi
Keyword(s):  
Artificial Intelligence ◽  
Image Analysis ◽  
Significant Role ◽  
Pattern Analysis ◽  
Cost Effective ◽  
Predictive Analysis ◽  
Accurate Information ◽  
Digital Era ◽  
Learning Techniques ◽  
Crucial Information

Agriculture is the backbone of the developing country. In old era agriculture was based on the experience which was shared by people to people but in this digital era technology play a very important and significant role in agriculture. Now agriculture become a business hub therefore farmers are focusing on precision farming. They introduced the technology in agriculture to define the accurate information about seed, soil, weather, disease and all factors which affecting the farming. Artificial Intelligence uses predictive analysis, image analysis, learning techniques and Pattern analysis to declare the best cost effective and maximum gain for the agriculturist. The aim of this paper is to provide the crucial information with the help of technology which a farmers can use to harvest the variety of crops as per the demand in world so that they can get maximum benefits.

scholarly journals A Study of Automatic Judgment of Food Color and Cooking Conditions with Artificial Intelligence Technology

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1128
Author(s):  
Chern-Sheng Lin ◽  
Yu-Ching Pan ◽  
Yu-Xin Kuo ◽  
Ching-Kun Chen ◽  
Chuen-Lin Tien
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Color Space ◽  
Color Difference ◽  
Color Space Conversion ◽  
Before And After ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Algorithm ◽  
Time Image ◽  
Cooking Conditions

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check the degree of cooking of foods and avoid the over-cooking of foods. Using a smart induction cooker for heating, the image processing program automatically recognizes the color of the food before and after cooking. The new cooking parameters were used to identify the cooking conditions of the food when it is undercooked, cooked, and overcooked. In the research, the camera was used in combination with the software for development, and the real-time image processing technology was used to obtain the information of the color of the food, and through calculation parameters, the cooking status of the food was monitored. In the second year, using the color space conversion, a novel algorithm, and artificial intelligence, the foreground segmentation was used to separate the vegetables from the background, and the cooking ripeness, cooking unevenness, oil glossiness, and sauce absorption were calculated. The image color difference and the distribution were used to judge the cooking conditions of the food, so that the cooking system can identify whether or not to adopt partial tumbling, or to end a cooking operation. A novel artificial intelligence algorithm is used in the relative field, and the error rate can be reduced to 3%. This work will significantly help researchers working in the advanced cooking devices.

scholarly journals Visual Comfort Analysis of Semi-Transparent Perovskite Based Building Integrated Photovoltaic Window for Hot Desert Climate (Riyadh, Saudi Arabia)

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1043 ◽  
Author(s):  
Aritra Ghosh ◽  
Abdelhakim Mesloub ◽  
Mabrouk Touahmia ◽  
Meriem Ajmi
Keyword(s):  
Saudi Arabia ◽  
Cognitive Performance ◽  
Office Building ◽  
Transmission Range ◽  
Transmission Spectra ◽  
Visual Comfort ◽  
Building Integrated Photovoltaic ◽  
Transparent Windows ◽  
Desert Climate

Buildings consume considerable amount of energy to maintain comfortable interior. By allowing daylight, visual comfort inside a building is possible which can enhance the occupant’s health, mood and cognitive performance. However, traditional highly transparent windows should be replaced with semitransparent type window to attain a comfortable daylight inside a building. Evaluation of visual comfort includes both daylight glare and colour comfort analysis. Building integrated photovoltaic (BIPV) type windows are promising systems and can possess a range of semitransparent levels depending on the type of PV used. In this work, the semitransparent Perovskite BIPV windows was investigated by employing daylight glare analysis for an office building located in Riyadh, KSA and three wavelength dependent transmission spectra for colour comfort analysis. The results showed that the transmissions range between 50–70% was optimum for the comfortable daylight for south facing vertical pane BPV-windows. However, excellent colour comfort was attained for the transmission range of 90% which provided glare issues. Colour comfort for 20% transparent Perovskite was compared with contemporary other type of PV which clearly indicated that wavelength dependent transmittance is stronger over single value transmittance.

Simulation of public art communication in colleges based on smart cloud platform and artificial intelligence algorithm

2020 ◽  
pp. 1-11
Author(s):  
Zhang Yingying
Keyword(s):  
Artificial Intelligence ◽  
Public Art ◽  
Optimal Path ◽  
Colleges And Universities ◽  
Cloud Platform ◽  
Current Transmission ◽  
Artificial Intelligence Algorithm ◽  
Offset Coefficient ◽  
Network Status ◽  
Selection Of

Public art communication in colleges and universities needs to be launched with the support of artificial intelligence systems. According to the current situation of public art communication in colleges and universities, this paper builds a smart cloud platform for public art communication in colleges and universities with the support of artificial intelligence algorithms. Moreover, this paper introduces the bandwidth offset coefficient to judge the change of network throughput, introduces the slice download rate difference to first judge the consistency change trend of bandwidth, and then further proposes the calculation method of bandwidth prediction value by situation. In addition, this paper proposes a flexible transmission mechanism based on smart collaborative networks. Through in-depth perception of network status and component behavior, this mechanism implements the selection of the optimal path in the network according to the current network status and user service requirements to complete the transmission of service resources. If the current transmission path fails, the mechanism should ensure the continuity and reliability of the service. The research results show that the system constructed in this paper has good performance and can be applied to practice.

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