scholarly journals A Cost-Efficient Software Based Router and Traffic Generator for Simulation and Testing of IP Network

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 40 ◽  
Author(s):  
Su Jun ◽  
Krzysztof Przystupa ◽  
Mykola Beshley ◽  
Orest Kochan ◽  
Halyna Beshley ◽  
...  

The development was carried out using the Qt5.2 integrated development environment, which uses the programming language C++. The main advantage of this environment is that the code written in it can be compiled to different platforms (for example, Windows, Linux, Mac OS). A software router based on a modular architecture has been developed. It uses the socket technology, which allows forming a program-oriented packet network with any topology, including full-coupled topology. A network traffic generator to test the developed software router has been designed. We proposed a scheme to measure the packet processing time of a router using a specialized packet-capture network interface cards (NIC 1 and NIC 2) and a novel traffic generator installed on PC. Based on an experimental test bed we confirmed that our software router provides a cost-efficient alternative to the expensive, special hardware router CISCO 2801.

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 825
Author(s):  
Jong-Seo Yoon ◽  
Jiwon Park ◽  
Hye-Rin Ahn ◽  
Seong-Jae Yoo ◽  
Yong-Jun Kim

Airborne metal particles (MPs; particle size > 10 μm) in workplaces result in a loss in production yield if not detected in time. The demand for compact and cost-efficient MP sensors to monitor airborne MP generation is increasing. However, contemporary instruments and laboratory-grade sensors exhibit certain limitations in real-time and on-site monitoring of airborne MPs. This paper presents a microfluidic MP detection chip to address these limitations. By combining the proposed system with microcirculation-based particle-to-liquid collection and a capacitive sensing method, the continuous detection of airborne MPs can be achieved. A few microfabrication processes were realized, resulting in a compact system, which can be easily replaced after contamination with a low-priced microfluidic chip. In our experiments, the frequency-dependent capacitive changes were characterized using MP (aluminum) samples (sizes ranging from 10 μm to 40 μm). Performance evaluation of the proposed system under test-bed conditions indicated that it is capable of real-time and continuous monitoring of airborne MPs (minimum size 10 μm) under an optimal frequency, with superior sensitivity and responsivity. Therefore, the proposed system can be used as an on-site MP sensor for unexpected airborne MP generation in precise manufacturing facilities where metal sources are used.


2017 ◽  
Vol 5 (5) ◽  
pp. e1320 ◽  
Author(s):  
Martin Aman ◽  
Matthias E. Sporer ◽  
Otto Riedl ◽  
Wei-Te Wang ◽  
Anne Kramer ◽  
...  

2020 ◽  
Vol 29 ◽  
pp. 2633366X2093001
Author(s):  
Juan Camilo Vélez ◽  
Jesús Antonio Carlos Cornelio ◽  
Robinson Buitrago Sierra ◽  
Juan Felipe Santa ◽  
Lina Marcela Hoyos-Palacio ◽  
...  

Wear of wheels and rails is a major problem in railway transportation industry. Solid lubricants constitute a cost-efficient alternative to control wear and friction at the wheel–rail interface, especially when a fine-tuned balance between traction force and energy consumption is sought. In this work, composite friction modifiers (CFMs) composed of a vinyl ester matrix reinforced with molybdenum disulfide and carbon nanotubes were developed. The total solid additive content was less than a half in comparison with a commercial product available on the market, which was used as a reference. A benchmarking study of the CFM was carried out by means of tribological tests in a twin-disc machine at a contact pressure of 1.1 GPa and different slip values. The results indicated that the developed CFM reduce coefficient of traction by 10% compared to unlubricated conditions that is similar to the reference. However, the total mass loss of steel components due to wear under CFM lubrication was lower than in the reference test.


2020 ◽  
Vol 248 ◽  
pp. 119189 ◽  
Author(s):  
Muhammad Abdul Qyyum ◽  
Kinza Qadeer ◽  
Ashfaq Ahmad ◽  
Faisal Ahmed ◽  
Moonyong Lee

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6143-6143
Author(s):  
G. C. Doolittle ◽  
A. O. Spaulding ◽  
A. R. Williams

6143 Background: The University of Kansas Medical Center (KUMC) has offered oncology services via interactive tele-video (ITV) to patients in rural Kansas for over a decade. A KUMC oncologist utilizes ITV technology to connect with patients at Hays Medical Center (HMC), which is approximately 265 west of KUMC. The technology enables the oncologist to conduct a complete patient visit without being in physical proximity to the patient. To date, two cost-tracking studies have been conducted to determine expenses associated with the tele-oncology practice. A third study recently analyzed costs incurred during fiscal year 2005 (FY05). Methods: In order to determine the costs of the practice during FY05, HMC and KUMC expenses were monitored for oncology services rendered via telemedicine. An analysis revealed expenses common to a traditional oncology practice and additional expenses unique to a telemedicine practice. Administrative support staff salaries, the oncologist’s contract fees, and nursing staff salaries made up the majority of the traditional practice-related expenses. Costs unique to a tele-oncology practice were those associated with technology including expenses for telemedicine equipment, telecommunication charges, and technician time. Results: Expenses for the tele-oncology practice on the KUMC side totaled $22,848, with $7,331 attributed to technology-related costs and $15,517 attributed to practice-related costs. For HMC, $5,803 in technology-related costs and $30,430 in practice-related costs totaled $36,233. At 235 tele-oncology consults and a combined total expense of $59,081 between KUMC and HMC, the FY05 analysis resulted in an average cost of $251 per consult. When compared to prior studies, this shows a substantial reduction in costs related to the practice of telemedicine. Conclusions: The average cost of a tele-oncology visit in Kansas has consistently decreased significantly since the practice’s 1995 inception. Analyses have revealed that the costs of providing oncology services via telemedicine are closely tied to utilization, as the majority of the expenses are related to personnel rather than technology. Telemedicine has proven itself to be a cost-efficient alternative to offering regular outreach clinics. No significant financial relationships to disclose.


Author(s):  
Salih Okur ◽  
Chun Li ◽  
Zejun Zhang ◽  
Sahi Vaidurya Pratap ◽  
Mohammed Mohammed Sarheed ◽  
...  

The Lamiaceae belong to the species-richest families of flowering plants and harbor many species used as herbs or for medicinal applications, such as Basils or Mints. Evolution of this group has been driven by chemical speciation, mainly of Volatile Organic Compounds (VOCs). The commercial use of these plants is characterized by a large extent of adulteration and surrogation. To authenticate and discern the species, is, thus, relevant for consumer safety, but usually requires cumbersome analytics, such as Gas Chromatography, often to be coupled with Mass Spectroscopy. We demon-strate here that quartz-crystal microbalance (QCM)-based electronic noses provide a very cost-efficient alternative, allowing for a fast, automated discrimination of scents emitted from leaves of different plants. To explore the range of this strategy, we used leaf material from four genera of Lamiaceae along with Lemongrass as similarly scented, but non-related outgroup. In order to unambiguously differentiate the scents from the different plants, the output of the 6 different SURMOF/QCM sensors was analyzed using machine learning (ML) methods, together with a thorough statistical analysis. The exposure and purging datasets (4 cycles) obtained from a QCM-based, low-cost homemade portable e-Nose were analyzed with Linear Discriminant Analysis (LDA) classification model. Prediction accuracies with repeating test measurements reached values of up to 90%. We show that it is not only possible to discern and identify plants on the genus level, but even to discriminate closely related sister clades within a genus (Basil), demonstrating that e-Noses are a powerful technology to safeguard consumer safety against the challenges of globalized trade.


2021 ◽  
Vol 11 (14) ◽  
pp. 6274
Author(s):  
Xenophon Zabulis ◽  
Panagiotis Koutlemanis ◽  
Nikolaos Stivaktakis ◽  
Nikolaos Partarakis

The design and implementation of a contactless scanner and its software are proposed. The scanner regards the photographic digitization of planar and approximately planar surfaces and is proposed as a cost-efficient alternative to off-the-shelf solutions. The result is 19.8 Kppi micrometer scans, in the service of several applications. Accurate surface mosaics are obtained based on a novel image acquisition and image registration approach that actively seeks registration cues by acquiring auxiliary images and fusing proprioceptive data in correspondence and registration tasks. The device and operating software are explained, provided as an open prototype, and evaluated qualitatively and quantitatively.


Chemosensors ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 171
Author(s):  
Salih Okur ◽  
Chun Li ◽  
Zejun Zhang ◽  
Sahi Vaidurya Pratap ◽  
Mohammed Mohammed Sarheed ◽  
...  

Lamiaceae belong to the species-richest family of flowering plants and harbor many species that are used as herbs or in medicinal applications such as basils or mints. The evolution of this group has been driven by chemical speciation, mainly volatile organic compounds (VOCs). The commercial use of these plants is characterized by adulteration and surrogation to a large extent. Authenticating and discerning this species is thus relevant for consumer safety but usually requires cumbersome analytics, such as gas chromatography, often coupled with mass spectroscopy. Here, we demonstrate that quartz-crystal microbalance (QCM)-based electronic noses provide a very cost-efficient alternative, allowing for fast, automated discrimination of scents emitted from the leaves of different plants. To explore the range of this strategy, we used leaf material from four genera of Lamiaceae along with lemongrass, which is similarly scented but from an unrelated outgroup. To differentiate the scents from different plants unambiguously, the output of the six different SURMOF/QCM sensors was analyzed using machine learning (ML) methods together with a thorough statistical analysis. The exposure and purging of data sets (four cycles) obtained from a QCM-based, low-cost homemade portable e-Nose were analyzed using a linear discriminant analysis (LDA) classification model. Prediction accuracy with repeated test measurements reached values of up to 0%. We show that it is possible not only to discern and identify plants at the genus level but also to discriminate closely related sister clades within a genus (basil), demonstrating that an e-Nose is a powerful device that can safeguard consumer safety against dangers posed by globalized trade.


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