scholarly journals Analysis Tunneling IPv4 and IPv6 on VoIP Network

2018 ◽  
pp. 337-344 ◽  
Author(s):  
Muhammad Ismu Haji ◽  
Sugeng Purwantoro E.S.G.S ◽  
Satria Perdana Arifin
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Test Results ◽  
The Real ◽  
Ip Addresses ◽  
Internet Users ◽  
Jitter Delay ◽  
Ipv4 Address

Using of IP addresses is currently still using IPv4. Meanwhile, the availability of the IPv4 address is gradually diminishes. IPv4 has a limited address capacity. IPv6 was developed with a capacity greater than IPv4. Connect between IPv4 and IPv6 without having to interfere with the existing infrastructure. So, methods like tunneling are needed. Tunneling builds a way that IPv4 and IPv6 can communicate. 6to4 tuning makes IPv6 able to communicate with IPv4 over IPv4 infrastructure. Real time communication is needed by internet users to be able to connect to each other. One of the real time communications is VoIP. To find out the quality of tunneling implemented on a VoIP network, it will analyze QoS such as delay, packet loss, and jitter. Delay obtained is 20,01ms for IPv4, 19,99ms for IPv6 and 20,03ms for 6to4. Packet loss obtained 0,01% for IPv4, IPv6 0,01% and 6to4 0,08%. The obtained jitter is 7,96ms for IPv4, IPv6 7.39ms, and 8,48 for 6to4. The test results show that using IPv6 gets a better QoS value than using IPv4 and 6to4 tunneling. The results using 6to4 tunneling obtained the highest QoS value between IPv4 and IPv6. Implementation using 6to4 tunneling results in high results because, IPv6 packets that are sent are wrapped into the IPv4 form to get through the IPv4 infrastructure. 

Improving Real-Time Drilling Data Quality Using Artificial Intelligence and Machine Learning Techniques

2021 ◽  
Author(s):  
S. H. Al Gharbi ◽  
A. A. Al-Majed ◽  
A. Abdulraheem ◽  
S. Patil ◽  
S. M. Elkatatny
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Quality ◽  
Real Time ◽  
Input Data ◽  
Support Vector ◽  
The Real ◽  
Drilling Data ◽  
Drilling Operations

Abstract Due to high demand for energy, oil and gas companies started to drill wells in remote areas and unconventional environments. This raised the complexity of drilling operations, which were already challenging and complex. To adapt, drilling companies expanded their use of the real-time operation center (RTOC) concept, in which real-time drilling data are transmitted from remote sites to companies’ headquarters. In RTOC, groups of subject matter experts monitor the drilling live and provide real-time advice to improve operations. With the increase of drilling operations, processing the volume of generated data is beyond a human's capability, limiting the RTOC impact on certain components of drilling operations. To overcome this limitation, artificial intelligence and machine learning (AI/ML) technologies were introduced to monitor and analyze the real-time drilling data, discover hidden patterns, and provide fast decision-support responses. AI/ML technologies are data-driven technologies, and their quality relies on the quality of the input data: if the quality of the input data is good, the generated output will be good; if not, the generated output will be bad. Unfortunately, due to the harsh environments of drilling sites and the transmission setups, not all of the drilling data is good, which negatively affects the AI/ML results. The objective of this paper is to utilize AI/ML technologies to improve the quality of real-time drilling data. The paper fed a large real-time drilling dataset, consisting of over 150,000 raw data points, into Artificial Neural Network (ANN), Support Vector Machine (SVM) and Decision Tree (DT) models. The models were trained on the valid and not-valid datapoints. The confusion matrix was used to evaluate the different AI/ML models including different internal architectures. Despite the slowness of ANN, it achieved the best result with an accuracy of 78%, compared to 73% and 41% for DT and SVM, respectively. The paper concludes by presenting a process for using AI technology to improve real-time drilling data quality. To the author's knowledge based on literature in the public domain, this paper is one of the first to compare the use of multiple AI/ML techniques for quality improvement of real-time drilling data. The paper provides a guide for improving the quality of real-time drilling data.

Ontological Support of Human-Computer Interactions

2017 ◽  
pp. 203-243
Keyword(s):  
Real Time ◽  
Design Thinking ◽  
Human Computer Interactions ◽  
Important Place ◽  
The Real ◽  
Analytical Reasoning ◽  
Effective Models ◽  
Computer Interactions

In the real-time design, conceptual solving any new task is impossible without analytical reasoning of designers who interact with natural experience and its models among which important place occupies models of precedents. Moreover, the work with new tasks is a source of such useful models. The quality of applied reasoning essentially depends on the constructive use of appropriate language and its effective models. In the version of conceptual activity described in this book, the use of language means is realized as an ontological support of design thinking that is aimed at solving a new task and creating a model of corresponding precedent. The ontological support provides controlled using the lexis, extracting the questions for managing the analysis, revealing the cause-and effects regularities and achieving the sufficient understanding. Designers fulfill all these actions in interactions with the project ontology that can be developed by manual or programmed way in work with the task.

Design of High Accuracy Robot Welding Machine for a Cone Bottom

2014 ◽  
Vol 496-500 ◽  
pp. 1289-1292
Author(s):  
De Huan Tang ◽  
De Yang Luo
Keyword(s):  
Real Time ◽  
Tracking System ◽  
High Accuracy ◽  
Welding Robot ◽  
Robotic Welding ◽  
High Quality ◽  
The Real ◽  
Laser Tracking ◽  
Welding Machine

This paper designed a special welding machine for an aluminum cone bottom workpiece. This machine contains highly accurate positioner system, laser tracking system, and robotic welding devices. It is used to weld the transverse seams and the longitudinal seams of the workpiece. The interaction of welding robot with positioner and the real-time seam correcting can ensure high quality of welding.

Juan Downey's Ethnographic Present

ARTMargins ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 28-49
Author(s):  
Benjamin Murphy
Keyword(s):  
Real Time ◽  
Video Feedback ◽  
Closed Circuit ◽  
Complex Relationship ◽  
Historical Time ◽  
Video Technology ◽  
Close Attention ◽  
The Real

Recorded between 1976 and 77, Juan Downey's video experiments with the Yanomami people have been widely celebrated as offering a critique of traditional anthropology through their use of feedback technology. This article argues, however, that close attention to the different feedback situations the artist constructs with the group reveal a more complex relationship between Downey and that discipline. In the enthusiasm he manifests for synchronous, closed-circuit video feedback in many of his statements about his Yanomami project, Downey in fact tacitly affirms some of the most problematic principles of traditional anthropology. In his emphasis on the real-time quality of this particular form of feedback, the artist puts forth a view of Yanomami society as itself synchronous, as a type of homeostatic, changeless system outside of historical time. As such he participates in a synchronic bias that anthropologists of his own time had begun to seriously critique. By focusing on one individual video from the Yanomami project, The Laughing Alligator of 1979, this essay argues that Downey's critical contribution to anthropological debates of his time does not come in the form of synchronous feedback, but rather through a different procedure unique to video technology based on temporal lag, delay, and spacing.

An Improved Algorithm of Adaptive Multi-Pulse AMR-WB PLC

2013 ◽  
Vol 321-324 ◽  
pp. 2754-2759
Author(s):  
Jun Ying Jia ◽  
Hu Lin ◽  
Jian Wei Sun
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Mobile Terminal ◽  
Decoding Algorithm ◽  
Basic Principles ◽  
Voice Communication ◽  
Speed Up ◽  
Small Bandwidth ◽  
Adaptive Codebook

Packet loss is common in internet, when use IMS mobile terminal accessed by wireless to do real-time voice communication, the quality of speech is affected a lot. This text summarizes the basic principles of AMR-WB encoding and decoding algorithm and main technology of PLC. Based on AMR-WB encoding and decoding algorithm, it improves an algorithm of multi-plus PLC. The algorithm described in this text can speed up the recovery of adaptive-codebook by small bandwidth cost and effectively prevent the spread of errors, improve the quality of speech.

scholarly journals Tagger: BeCalm API for rapid named entity recognition

2017 ◽  
Author(s):  
Lars Juhl Jensen
Keyword(s):  
Open Access ◽  
Text Mining ◽  
Real Time ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
The Real ◽  
Practical Applications ◽  
Named Entity ◽  
Highly Efficient

AbstractMost BioCreative tasks to date have focused on assessing the quality of text-mining annotations in terms of precision of recall. Interoperability, speed, and stability are, however, other important factors to consider for practical applications of text mining. The new BioCreative/BeCalm TIPS task focuses purely on these. To participate in this task, I implemented a BeCalm API within the real-time tagging server also used by the Reflect and EXTRACT tools. In addition to retrieval of patent abstracts, PubMed abstracts, and Pub-Med Central open-access articles as required in the TIPS task, the BeCalm API implementation facilitates retrieval of documents from other sources specified as custom request parameters. As in earlier tests, the tagger proved to be both highly efficient and stable, being able to consistently process requests of 5000 abstracts in less than half a minute including retrieval of the document text.

An Approach to Supporting Synchronized Collaborative Design Within Heterogeneous CAD Systems

2004 ◽  
Author(s):  
Min Li ◽  
Shuming Gao ◽  
Jie Li ◽  
Youdong Yang
Keyword(s):  
Real Time ◽  
Collaborative Design ◽  
System Modeling ◽  
Object Oriented ◽  
Preliminary Test ◽  
Test Results ◽  
Cad Systems ◽  
The Real

This paper presents an approach to building up a synchronized collaborative design platform upon heterogeneous CAD systems. In the approach, Neutral Modeling Commands are used to achieve the real-time exchange of modeling operations between heterogeneous CAD systems. For the Neutral Modeling Commands, an object oriented representation is given and employed to support the translation between System Modeling Operations (SMO) and Neutral Modeling Commands (NMC). Moreover, two kinds of translators, SMO-to-NMC and NMC-to-SMO, are established, which can deal with modification/deletion operations and composite features and user-defined features besides common creation operations. The preliminary test results show that the proposed approach is promising.

scholarly journals Interconnecting Haptic Interfaces with High Update Rates through the Internet

2018 ◽  
Vol 1 (4) ◽  
pp. 51
Author(s):  
George Kokkonis ◽  
Kostas Psannis ◽  
Sotirios Kontogiannis ◽  
Petros Nicopolitidis ◽  
Manos Roumeliotis ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Performance Evaluation ◽  
Real Time ◽  
Packet Loss ◽  
The Internet ◽  
Haptic Interfaces ◽  
Transport Protocols ◽  
Delay Jitter ◽  
Packet Arrival

Real-time transferring of the haptic sense over the Internet is quite a challenging task. This paper outlines the proposed protocols for transferring haptic streams over the Internet. Moreover, it describes the Quality of Service requirements that a network has to fulfill in order to successfully use haptic interfaces with high update rates over the Internet. Extensive simulations and experiments for the performance evaluation of transport protocols for real-time transferring haptic data are carried out. Complements between simulation and real world experiments are discussed. The metrics that are measured for the performance evaluation are delay, jitter, throughput, efficiency, packet loss and one proposed by the authors, packet arrival deviation. The simulation tests reveal which protocols could be used for the transfer of real-time haptic data over the Internet.

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