scholarly journals Effects of Different LED Lights on the Organogenesis of a Cymbidium Cultivar

2021 ◽  
Vol 59 (4) ◽  
pp. 197-201
Author(s):  
Anjum Ferdous ONA ◽  
Kazuhiko SHIMASAKI ◽  
Md Asif EMTEAS ◽  
A. F. M. Jamal UDDIN
Keyword(s):  
Led Lights

Research and Design of Digital Clock Based on FPGA

2011 ◽  
Vol 187 ◽  
pp. 741-745 ◽  
Author(s):  
Juan Hua Zhu ◽  
Ang Wu ◽  
Juan Fang Zhu
Keyword(s):  
Design Method ◽  
Display Time ◽  
Development Environment ◽  
Display Module ◽  
Digital Clock ◽  
Clock System ◽  
Quartus Ii ◽  
Hardware Description ◽  
Fpga Chip ◽  
Led Lights

A digital clock system designed by using VHDL hardware description language is presented in this paper. The proposed architecture fully utilizes the digital clock system available on FPGA chips based top-down design method in the Quartus II development environment. The Clock system is divided into four design modules: core module, frequency_division module, display module and tune module. It not only can time accurately and display time, but also can reset and adjust time. The LED lights will flash and the loudspeaker will tell time on the hour. The architecture is implemented and verified experimentally on a FPGA board. Because of the universality of digital clock and the portability of VHDL language, it can be applied directly in various designs based on FPGA chip.

Martian: Message Broadcast via LED Lights to Heterogeneous Smartphones

2017 ◽  
Vol 35 (5) ◽  
pp. 1154-1162 ◽  
Author(s):  
Haohua Du ◽  
Junze Han ◽  
Xuesi Jian ◽  
Taeho Jung ◽  
Cheng Bo ◽  
...  
Keyword(s):  
Led Lights

Monitoring LED Lights with Current Signatures

2018 ◽  
Author(s):  
Johnny Verhoeff ◽  
Nambi S.N. Akshay Uttama ◽  
Marco Zuniga Zamalloa ◽  
Bontor Humala
Keyword(s):  
Led Lights ◽  
Current Signatures

scholarly journals LED Lights Enhance Metabolites and Antioxidants in Chinese Cabbage and Kale

2016 ◽  
Vol 59 (0) ◽  
Author(s):  
Min Ki Lee ◽  
◽  
Mariadhas Valan Arasu ◽  
Suhyoung Park ◽  
Dong Hae Byeon ◽  
...  
Keyword(s):  
Chinese Cabbage ◽  
Led Lights

scholarly journals SambotII: A New Self-Assembly Modular Robot Platform Based on Sambot

2018 ◽  
Vol 8 (10) ◽  
pp. 1719 ◽  
Author(s):  
Wenshuai Tan ◽  
Hongxing Wei ◽  
Bo Yang
Keyword(s):  
Image Processing ◽  
Software Architecture ◽  
Self Assembly ◽  
Target Recognition ◽  
Modular Robot ◽  
Heavy Work ◽  
Autonomous Movement ◽  
Led Lights ◽  
Dual Core ◽  
Robot Platform

A new self-assembly modular robot (SMR) SambotII is developed based on SambotI, which is a previously-built hybird type SMR that is capable of autonomous movement and self-assembly. As is known, SambotI only has limited abilities of environmental perception and target recognition, because its STM-32 processor cannot handle heavy work, like image processing and path planning. To improve the computing ability, an x86 dual-core CPU is applied and a hierarchical software architecture with five layers is designed. In addition, to enhance its perception abilities, a laser-camera unit and a LED-camera unit are employed to obtain the distance and angle information, respectively, and the color-changeable LED lights are used to identify different passive docking surfaces during the docking process. Finally, the performances of SambotII are verified by docking experiments.

Study of Energy Saving in a Commercial Setup by Replacing Conventional Bulbs with LED Lights

2017 ◽  
Vol 08 (04) ◽  
Author(s):  
Arjamand Khaliq ◽  
Rana Fahad ◽  
Junaid Shafique ◽  
Maryam Iqbal
Keyword(s):  
Energy Saving ◽  
Led Lights

scholarly journals Enhancing Patient Experience With Internet Protocol Addressable Digital LED Lighting in Imaging Environments: A Phase I Study (Preprint)

2018 ◽  
Author(s):  
Melanie U Knopp ◽  
Katherine Binzel ◽  
Chadwick L Wright ◽  
Jun Zhang ◽  
Michael V Knopp
Keyword(s):  
Image Quality ◽  
Patient Experience ◽  
Patient Comfort ◽  
Patient Specific ◽  
Diagnostic Image Quality ◽  
Imaging Studies ◽  
Diagnostic Image ◽  
Clinical Imaging ◽  
Ambient Lighting ◽  
Led Lights

BACKGROUND Conventional approaches to improve the quality of clinical patient imaging studies focus predominantly on updating or replacing imaging equipment; however, it is often not considered that patients can also highly influence the diagnostic quality of clinical imaging studies. Patient-specific artifacts can limit the diagnostic image quality, especially when patients are uncomfortable, anxious, or agitated. Imaging facility or environmental conditions can also influence the patient’s comfort and willingness to participate in diagnostic imaging studies, especially when performed in visually unesthetic, anxiety-inducing, and technology-intensive imaging centers. When given the opportunity to change a single aspect of the environmental or imaging facility experience, patients feel much more in control of the otherwise unfamiliar and uncomfortable setting. Incorporating commercial, easily adaptable, ambient lighting products within clinical imaging environments allows patients to individually customize their environment for a more personalized and comfortable experience. OBJECTIVE The aim of this pilot study was to use a customizable colored light-emitting diode (LED) lighting system within a clinical imaging environment and demonstrate the feasibility and initial findings of enabling healthy subjects to customize the ambient lighting and color. Improving the patient experience within clinical imaging environments with patient-preferred ambient lighting and color may improve overall patient comfort, compliance, and participation in the imaging study and indirectly contribute to improving diagnostic image quality. METHODS We installed consumer-based internet protocol addressable LED lights using the ZigBee standard in different PET/CT scan rooms within a clinical imaging environment. We recruited healthy volunteers (n=35) to generate pilot data in order to develop a subsequent clinical trial. The visual perception assessment procedure utilized questionnaires with preprogrammed light/color settings and further assessed how subjects preferred ambient light and color within a clinical imaging setting. RESULTS Technical implementation using programmable LED lights was performed without any hardware or electrical modifications to the existing clinical imaging environment. Subject testing revealed substantial variabilities in color perception; however, clear trends in subject color preference were noted. In terms of the color hue of the imaging environment, 43% (15/35) found blue and 31% (11/35) found yellow to be the most relaxing. Conversely, 69% (24/35) found red, 17% (6/35) found yellow, and 11% (4/35) found green to be the least relaxing. CONCLUSIONS With the majority of subjects indicating that colored lighting within a clinical imaging environment would contribute to an improved patient experience, we predict that enabling patients to customize environmental factors like lighting and color to individual preferences will improve patient comfort and patient satisfaction. Improved patient comfort in clinical imaging environments may also help to minimize patient-specific imaging artifacts that can otherwise limit diagnostic image quality. CLINICALTRIAL ClinicalTrials.gov NCT03456895; https://clinicaltrials.gov/ct2/show/NCT03456895

scholarly journals Indoor Positioning System using LED Lights and a Dual Image Sensor

2015 ◽  
Vol 19 (6) ◽  
pp. 586-591 ◽  
Author(s):  
Myoung-geun Moon ◽  
Su-il Choi ◽  
Jaehyung Park ◽  
Jin Young Kim
Keyword(s):  
Indoor Positioning ◽  
Image Sensor ◽  
Positioning System ◽  
Dual Image ◽  
Led Lights ◽  
Indoor Positioning System
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