scholarly journals Performance evaluation of a WISP for the 2.4GHz and 5.8GHz bands supported in a factorial model

Respuestas ◽  
2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Juan Carlos Vesga Ferreira ◽  
José Antonio Vesga Barrera ◽  
Martha Fabiola Contreras Higuera
Keyword(s):  
Performance Evaluation ◽  
Low Cost ◽  
Access Point ◽  
Wireless Internet ◽  
Internet Service ◽  
Available Bandwidth ◽  
Factorial Model ◽  
Proposed Model ◽  
Excellent Tool ◽  
Frequency Distance

The wireless networks supported in the 802.11 standard play an important role in the field of connectivity, due to the benefits related to mobility, availability, speed and low cost of implementation. This study aims to experimentally find the factors that affect the performance of a WISP (Wireless Internet Service Provider) based on the 802.11 standard. In the proposed scenario, the behavior of the Throughput and delays in the transmission processes were analyzed based on factors such as frequency, distance and the number of stations connected to the Access point under study. In the results obtained, it was possible to demonstrate the levels of influence that the factors mentioned above reflected in relation to the performance of the link and the available bandwidth. The proposed model can be considered as an excellent tool for the analysis of future works related to the design of WISP.

Low-cost sustainable wireless Internet service for rural areas

2016 ◽  
Vol 24 (5) ◽  
pp. 1439-1450 ◽  
Author(s):  
Abdul Hameed ◽  
Adnan Noor Mian ◽  
Junaid Qadir
Keyword(s):  
Rural Areas ◽  
Low Cost ◽  
Wireless Internet ◽  
Internet Service

scholarly journals Cost-effective reliable transmission service for Internet of Flying Things

2021 ◽  
Vol 17 (6) ◽  
pp. 155014772110178
Author(s):  
Najmul Hassan ◽  
Noor M Khan
Keyword(s):  
Quality Of Service ◽  
Optical Fiber ◽  
Service Provision ◽  
High Speed ◽  
Low Cost ◽  
Internet Access ◽  
Wireless Internet ◽  
High Quality ◽  
Internet Service

High-speed quality Internet provision for aircraft passengers is thought to be one of the major unresolved challenges for ubiquitous Internet provision. This article aims to resolve the problem of airborne Internet access with high quality of service for modern Internet of things devices. Large remote regions in the ocean along the busy air routes (e.g. Atlantic Ocean) require high-speed, reliable, and low-cost airborne Internet (i.e. Internet provision to the aircraft) to manage various delay- and throughput-sensitive applications. Conventional satellite-based solutions can be an alternate for Internet provision in such far-flung areas; but, such solutions are lacking quality of service (with longer delays and low bandwidth) and are significantly costly. Fortunately, the underwater optical fiber cables deployed across the oceans pass along the same busy air routes. This infrastructure of underwater optical fiber cables can be exploited for Internet backbone providing high quality of service for wireless Internet provision to the commercial aircraft. Dedicated stationary ships deployed along these underwater optical fiber cables can be utilized for Internet provision, navigation, and security to ships and aircraft. This article not only proposes the networking infrastructure of the submarine cable-based airborne Internet access architecture but also presents a novel routing scheme for airborne ad hoc networks. Also, we analyze quality of service provision as compared to other existing techniques. Our simulation results show that our proposed solution outperforms other existing schemes for airborne Internet service provision, in the presence of high mobility and dynamic topology changes.

Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

2019 ◽  
Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fine Particle ◽  
Low Cost ◽  
Particle Mass ◽  
Long Term Performance ◽  
Term Performance

Drug Target Group Prediction with Multiple Drug Networks

2020 ◽  
Vol 23 (4) ◽  
pp. 274-284 ◽  
Author(s):  
Jingang Che ◽  
Lei Chen ◽  
Zi-Han Guo ◽  
Shuaiqun Wang ◽  
Aorigele
Keyword(s):  
Drug Target ◽  
Low Cost ◽  
Machine Learning Algorithms ◽  
Classification Model ◽  
Support Vector ◽  
Multiple Drug ◽  
Property A ◽  
Multiple Networks ◽  
Proposed Model ◽  
The One

Background: Identification of drug-target interaction is essential in drug discovery. It is beneficial to predict unexpected therapeutic or adverse side effects of drugs. To date, several computational methods have been proposed to predict drug-target interactions because they are prompt and low-cost compared with traditional wet experiments. Methods: In this study, we investigated this problem in a different way. According to KEGG, drugs were classified into several groups based on their target proteins. A multi-label classification model was presented to assign drugs into correct target groups. To make full use of the known drug properties, five networks were constructed, each of which represented drug associations in one property. A powerful network embedding method, Mashup, was adopted to extract drug features from above-mentioned networks, based on which several machine learning algorithms, including RAndom k-labELsets (RAKEL) algorithm, Label Powerset (LP) algorithm and Support Vector Machine (SVM), were used to build the classification model. Results and Conclusion: Tenfold cross-validation yielded the accuracy of 0.839, exact match of 0.816 and hamming loss of 0.037, indicating good performance of the model. The contribution of each network was also analyzed. Furthermore, the network model with multiple networks was found to be superior to the one with a single network and classic model, indicating the superiority of the proposed model.

scholarly journals Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method

2019 ◽  
Vol 16 (7) ◽  
pp. 1166 ◽  
Author(s):  
Tianpei Tang ◽  
Senlai Zhu ◽  
Yuntao Guo ◽  
Xizhao Zhou ◽  
Yang Cao
Keyword(s):  
Bayesian Network ◽  
Low Cost ◽  
Road Networks ◽  
Access Point ◽  
Safety Risk ◽  
Crash Data ◽  
Risk Levels ◽  
The Road ◽  
Run Off ◽  
Point Density

Evaluating the safety risk of rural roadsides is critical for achieving reasonable allocation of a limited budget and avoiding excessive installation of safety facilities. To assess the safety risk of rural roadsides when the crash data are unavailable or missing, this study proposed a Bayesian Network (BN) method that uses the experts’ judgments on the conditional probability of different safety risk factors to evaluate the safety risk of rural roadsides. Eight factors were considered, including seven factors identified in the literature and a new factor named access point density. To validate the effectiveness of the proposed method, a case study was conducted using 19.42 km long road networks in the rural area of Nantong, China. By comparing the results of the proposed method and run-off-road (ROR) crash data from 2015–2016 in the study area, the road segments with higher safety risk levels identified by the proposed method were found to be statistically significantly correlated with higher crash severity based on the crash data. In addition, by comparing the respective results evaluated by eight factors and seven factors (a new factor removed), we also found that access point density significantly contributed to the safety risk of rural roadsides. These results show that the proposed method can be considered as a low-cost solution to evaluating the safety risk of rural roadsides with relatively high accuracy, especially for areas with large rural road networks and incomplete ROR crash data due to budget limitation, human errors, negligence, or inconsistent crash recordings.

scholarly journals Tower Crane Location Optimization for Heavy Unit Lifting in High-Rise Modular Construction

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 121
Author(s):  
Hosang Hyun ◽  
Moonseo Park ◽  
Dowan Lee ◽  
Jeonghoon Lee
Keyword(s):  
Low Cost ◽  
Modular Construction ◽  
Algorithm Optimization ◽  
Location Selection ◽  
Project Completion ◽  
High Rise ◽  
Tower Crane ◽  
Proposed Model ◽  
Study Results ◽  
Crane Selection

Modular construction, which involves unit production in factories and on-site work, has benefits such as low cost, high quality, and short duration, resulting from the controlled factory environment utilized. An efficient tower crane lifting plan ensures successful high-rise modular project completion. For improved efficiency, the lifting plan should minimize the reaching distance of the tower crane, because this distance directly affects the tower crane capacity, which is directly related to crane operation cost. In situations where units are lifted from trailers, the trailer-to-tower crane distance can have a significant impact on the tower crane operation efficiency. However, optimization of this distance to improve efficiency has not been sufficiently considered. This research proposes a genetic algorithm optimization model that suggests optimized tower crane and trailer locations. The case study results show that through the proposed model, the project manager can reflect the optimal location selection and optimal tower crane selection options with minimal cost.

FEATURES OF MOLECULAR ANALYSIS AS A REAL-TIME INTERNET SERVICE

2021 ◽  
Author(s):  
М.В. ЗАХАРОВ
Keyword(s):  
Traffic Flow ◽  
Simulation Modeling ◽  
General Purpose ◽  
Service Delivery Model ◽  
State University ◽  
Network Delay ◽  
Software Environment ◽  
Internet Service ◽  
Saint Petersburg ◽  
Proposed Model

Приведен обзор особенностей применения портативныхNIR спектрометров общего назначения, используемых для анализа состава продуктов питания и лекарственных средств. Представлена модель агрегированного потока сетевого трафика от нескольких спектрометров и модель предоставления услуги, обеспечивающая снижение сетевой задержки и объема передаваемых данных. Рассмотрен метод построения сети на основе граничных вычислений для снижения сетевой задержки. Для проверки предложенной модели и метода проведено имитационное моделирование в среде AnyLogic. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications The article provides an overview of the features of the use of portable general-purpose NIR spectrometers to analyze the composition of food or medicines. A model of the aggregated network traffic flow of several spectrometers and a service delivery model, which provides the reduction of network delay and amount of transmitted data, are presented. A method of constructing a network based on edge computing for reduction of network delay is considered. To verify the proposed model and method simulation modeling was carried out in the software environment AnyLogic.

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