High Speed Wireless Internet Using LiFi

2018 ◽  
Author(s):  
Chinmay Agarwal ◽  
Medhavini Kulshrestha ◽  
Himanshu Rathore ◽  
Kamalakannan J
Keyword(s):  
2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6507-6507
Author(s):  
Derek Raghavan ◽  
Darcy L. Doege ◽  
Mellisa S Wheeler ◽  
Kia Dungan ◽  
Lauren Davis ◽  
...  

6507 Background: Randomized trials have proven that screening high-risk patients with LDCT of chest reduces lung cancer mortality compared to screening with chest x-ray. Under-served patients lack access to this test due to geographic and socio-economic factors. We hypothesized that a mobile screening unit would improve access and increase survival in this group, which is most at risk of lung cancer deaths. Methods: We installed a BodyTom portable 32 slice low-dose CT scanner (Samsung Inc) into a 35 foot coach (Frazier Inc), reinforced to avoid equipment damage during road travel. It includes waiting area, high speed wireless internet connection for rapid image transfer, and electronic tablets to deliver smoking cessation and health education programs and shared decision-making video aids. We used LUNG RADS approach to lesion classification, yielding high sensitivity and specificity in assessment. All films were reviewed by a central panel. This is certified as a lung cancer screening Center of Excellence by the Lung Cancer Alliance. Protocol was approved by Advarra IRB. Medicare pts excluded as insurance covered them for LDCT, although this reduced potential number of cases diagnosed as this is highest risk population. Results: We screened 1200 uninsured or under-insured subjects, mean age 61 years (range 55-64), with average pack year history of 47.8 (30-150); 61% male; 18% Black, 3% Hispanic/Latino; 78% rural. We found 97 pts with LUNG RADS 4 lesions, 30 lung cancers (2.5%), including 15 at stage I-II treated with curative intent; 5 incidental non-lung cancers (renal CA 2, head & neck CA 1, pancreas CA 2); more than 50% with cardiovascular disease or COPD seen on LDCT. Of eligible first-screen subjects (J. Clin. Oncol., 2019, 37, 383S), 440 attended Year 1 repeat LDCT and 161 attended Year 2 LDCT. Only one pt with surgically resected CA lung has relapsed to date. Conclusions: Mobile LDCT yields higher screening rate for under-served pts than prior international studies, with strong protocol adherence and paucity of early cancer deaths in high-risk population with traditionally poor compliance.


2018 ◽  
Vol 7 (2.7) ◽  
pp. 398 ◽  
Author(s):  
Kranthi Madala ◽  
Dr K.V. Daya Sagar

The prospect to build robust industrial systems & applications in the field of RFID, mobile &sensor devices, wireless, Internet of Things (IOT) has been provided. In very modern years many IOT applications have been increasingly developed and deployed. In our day to day life controlling and monitoring plays a major role now a days. Using advanced technologies we can monitor and control everything. Be-cause of high speed internet a wonderful feature that came into picture is Remote access. The main objective of this proposed system is for those who are away from their industry and want to control devices by providing technology oriented and low cost system.  


2020 ◽  
Vol 11 (4) ◽  
pp. 39-52
Author(s):  
Seiji Ohara ◽  
Ermioni Qafzezi ◽  
Admir Barolli ◽  
Shinji Sakamoto ◽  
Yi Liu ◽  
...  

Wireless mesh networks (WMNs) are becoming an important networking infrastructure because they have many advantages, such as low cost and increased high-speed wireless Internet connectivity. In the authors' previous work, they implemented a hybrid simulation system based on particle swarm optimization (PSO) and distributed genetic algorithm (DGA), called WMN-PSODGA. Moreover, they added to the fitness function a new parameter for mesh router load balancing a number of covered mesh clients per router (NCMCpR). In this article, the authors consider Exponential, Weibull, and Normal distributions of mesh clients and carry out a comparison study. The simulation results show that the performance of the Exponential, Weibull and Normal distributions was improved by considering load balancing when using WMN-PSODGA. For the same number of mesh clients, the Normal distribution behaves better than the other distributions. This is because all mesh clients are covered by a smaller number of mesh routers and the standard deviation is improved by effectively using NCMCpR.


2020 ◽  
Vol 12 (6) ◽  
pp. 2373
Author(s):  
Seok-Woo Jang ◽  
Sang-Hong Lee

High-speed wired and wireless Internet are one of the useful ways to acquire various types of media data easily. In this circumstance, people also can easily get media data including objects with exposed personal information through the Internet. Exposure of personal information emerges as a social issue. This paper proposes an effective blocking technique that makes it possible to robustly detect target objects with exposed personal information from various types of input images with the use of deep neural computing and to effectively block the detected objects’ regions. The proposed technique first utilizes the neural computing-based learning algorithm to robustly detect the target object including personal information from an image. It next generates a grid-type mosaic and lets the mosaic overlap the target object region detected in the previous step so as to effectively block the object region that includes personal information. Experimental results reveal that the proposed algorithm robustly detects the target object region with exposed personal information from a variety of input images and effectively blocks the detected region through grid-type mosaic processing. The object blocking technique proposed in this paper is expected to be applied to various application fields such as image security, sustainable anticipatory computing, object tracking, and target blocking.


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