Natural light illumination system

Abstract

In recent years, green energy has undergone a lot of development and has been the subject of many applications. Many research studies have focused on illumination with sunlight as a means of saving energy and creating healthy lighting. Natural light illumination systems have collecting, transmitting, and lighting elements. Today, most daylight collectors use dynamic concentrators; these include Sun tracking systems. However, this design is too expensive to be cost effective. To create a low-cost collector that can be easily installed on a large building, we have designed a static concentrator, which is prismatic and cascadable, to collect sunlight for indoor illumination. The transmission component uses a large number of optical fibers. Because optical fibers are expensive, this means that most of the cost for the system will be related to transmission. In this paper, we also use a prismatic structure to design an optical coupler for coupling n to 1. With the n-to-1 coupler, the number of optical fibers necessary can be greatly reduced. Although this new natural light illumination system can effectively guide collected sunlight and send it to the basement or to other indoor places for healthy lighting, previously there has been no way to manage the collected sunlight when lighting was not desired. To solve this problem, we have designed an optical switch and a beam splitter to control and separate the transmitted light. When replacing traditional sources, the lighting should have similar characteristics, such as intensity distribution and geometric parameters, to those of traditional artificial sources. We have designed, simulated, and optimized an illumination lightpipe with a dot pattern to redistribute the collected sunlight from the natural light illumination system such that it equals the qualities of a traditional lighting system. We also provide an active lighting module that provides lighting from the natural light illumination system or LED auxiliary sources, depending on circumstances. The system is controlled by a light detector. We used optical simulation tools to design and simulate the efficiency of the active module. Finally, we used the natural light illumination system to provide natural illumination for a traffic tunnel. This system will provide a great number of benefits for the people who use it.

Construction and Optimization of Structure-Based Virtual Screening Protocols to Identify Cyclooxygenase-1 Inhibitors Using Open Babel, Spores and Plants

“…the one reproducing the crystal structure pose most accurately with an RMSD value of 0.633 Å, was promising to be developed further as SBVS protocol to identify COX-1 inhibitors. However, to use the SBVS tool more confidently, robust retrospective validations have to be performed to examine the capability of the selected protocol in the identification of COX-1 inhibitors amongst well-curated decoys [7,26].…”

“…The availability of the directory of useful decoys (DUD) which has provided libraries to benchmark the SBVSs for both COX-1 and COX-2 are very beneficial to retrospectively validated the developed SBVS protocols [7]. Some efforts to develop SBVS tools to identify COX-2 inhibitors have been performed and resulted in SBVS protocols with good quality [7][8][9][10]. The availability of some new COX-2 crystal structures has also opened more opportunities to increase the quality of the available SBVS protocols in identifying COX-2 inhibitors [11].…”

“…However, a comparable SBVS protocol to identify COX-1 inhibitors is still lacking although some high resolution COX-1 crystal structures are publicly available [12][13][14][15]. The available SBVS protocol to identify COX-1 inhibitors was constructed using the docking software DOCK 3.5.54 and gave results that were considered as poor [7].…”

Improvement of Pseudo-molecule Generation on Solvent Dipole Ordering Virtual Screening (SDO-VS)

“…The nine datasets listed in Table 1 were selected from "a directory of useful decoys" (DUD) dataset [14] to examine the screening performances of the methods used to generate PMs. These targets included acetylcholine esterase (AChE), adenosine deaminase (ADA), aldose reductase (ALR2), cyclin-dependent kinase 2 (CDK2), catechol O-methyltransferase (COMT), cyclooxygenase 1 (COX1), human immune deficiency virus reverse transcriptase (HIVRT), mineralocorticoid receptor (MR), and thymidine kinase (TK).…”

Task‐parallel message passing interface implementation of Autodock4 for docking of very large databases of compounds using high‐performance super‐computers

“…The proteins selected are ACE (a metalloenzyme), ER_AGONIST (a nuclear hormone receptor), VEGFR2 (a kinase), and PARP (an enzyme), with the following Protein Data Bank 40 codes: 1O86, 1L2I, 1VR2, and 1EFY, 39 respectively. The predocking steps are summarized in Figure 1.…”