The document discusses quality of experience (QoE) evaluation for next generation networks starting from ITU recommendations. It describes the background of telecom carriers moving to new IP/MPLS networks due to the obsolescence of TDM technology. Metrics and tools like FreeProbe are presented for validating QoE by analyzing video and audio quality over IP networks, along with test results from an IPTV service testing model that show the impact of packet loss and delay on subjective quality ratings.
A NOVEL TWO-STAGE ALGORITHM PROTECTING INTERNAL ATTACK FROM WSNSIJCNC
Wireless sensor networks (WSNs) consists of small nodes with constrain capabilities. It enables numerous
applications with distributed network infrastructure. With its nature and application scenario, security of
WSN had drawn a great attention. In malicious environments for a functional WSN, security mechanisms
are essential. Malicious or internal attacker has gained attention as the most challenging attacks to
WSNs. Many works have been done to secure WSN from internal attacks but most of them relay on either
training data set or predefined thresholds. It is a great challenge to find or gain knowledge about the
Malicious. In this paper, we develop the algorithm in two stages. Initially, Abnormal Behaviour
Identification Mechanism (ABIM) which uses cosine similarity. Finally, Dempster-Shafer theory (DST)is
used. Which combine multiple evidences to identify the malicious or internal attacks in a WSN. In this
method we do not need any predefined threshold or tanning data set of the nodes.
Software Defined Radio Engineering course samplerJim Jenkins
This 3-day course is designed for digital signal processing engineers, RF system engineers, and managers who wish to enhance their understanding of this rapidly emerging technology. Most topics include carefully described design analysis, alternative approaches, performance analysis, and references to published research results. Many topics are illustrated by Matlab simulation demos. An extensive bibliography is included.
A NOVEL TWO-STAGE ALGORITHM PROTECTING INTERNAL ATTACK FROM WSNSIJCNC
Wireless sensor networks (WSNs) consists of small nodes with constrain capabilities. It enables numerous
applications with distributed network infrastructure. With its nature and application scenario, security of
WSN had drawn a great attention. In malicious environments for a functional WSN, security mechanisms
are essential. Malicious or internal attacker has gained attention as the most challenging attacks to
WSNs. Many works have been done to secure WSN from internal attacks but most of them relay on either
training data set or predefined thresholds. It is a great challenge to find or gain knowledge about the
Malicious. In this paper, we develop the algorithm in two stages. Initially, Abnormal Behaviour
Identification Mechanism (ABIM) which uses cosine similarity. Finally, Dempster-Shafer theory (DST)is
used. Which combine multiple evidences to identify the malicious or internal attacks in a WSN. In this
method we do not need any predefined threshold or tanning data set of the nodes.
Software Defined Radio Engineering course samplerJim Jenkins
This 3-day course is designed for digital signal processing engineers, RF system engineers, and managers who wish to enhance their understanding of this rapidly emerging technology. Most topics include carefully described design analysis, alternative approaches, performance analysis, and references to published research results. Many topics are illustrated by Matlab simulation demos. An extensive bibliography is included.
Achievements and future works of ITU-T Study Group 13 on Future networks including cloud computing, mobile and next-generation networks
Presented at WTSA-16 by Mr Leo Lehmann, Chairman of ITU-T Study Group 13
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within tight power and thermal budgets. Advancements in multiple areas are necessary to improve AI model efficiency, including quantization, compression, compilation, and neural architecture search (NAS). In this presentation, we’ll discuss:
- Qualcomm AI Research’s latest model efficiency research
- Our new NAS research to optimize neural networks more easily for on-device efficiency
- How the AI community can take advantage of this research though our open-source projects, such as the AI Model Efficiency Toolkit (AIMET) and AIMET Model Zoo
SCA To Date and Motivation for Change. These slides will discuss why the JTRS Program Executive Office (JPEO) is aggressively procuring Software Defined Radio (SDR) consortium and industry assistance to spearhead a high impact evolution of the Software Communications Architecture (SCA) intended to deliver better radio performance along with a smaller footprint for waveforms and radio software. The webcast audience will learn about innovative SCA change proposal details and identified opportunities for near term radio performance impact with rapid market availability of these new capabilities via highly motivated COTS SDR software and development tool vendors.
SDR Training with HackRF - Tonex TrainingBryan Len
Length: 3 Days
SDR Training with HackRF, Advanced Software Defined Radio Training is a 3-day hands-on advanced SDR training course, Software-Defined Radio Development with GNU Radio utilizing HackRF One. The 3-day advanced SDR covers both hypothesis and application of SDR utilizing HackRF One.
.
SDR Training with HackRF. Advanced Software Defined Radio Training.
Participants will learn about:
Software Defined Radio and Digital Signal Processing
Theory and practice with hands-on SDR implementations using the Universal Software Radio Peripheral (USRP) SDR platforms
Necessary SDR signal processing building blocks, SDR application development using Python and C++ concepts required for GNU Radio development
How to apply HackRF and GNU Radio
How to use and apply GNU Radio Companion (GRC)
Security applications of SDR and RF Vulnerabilities
Course Agenda
Principles of Signal processing and applied RF
Overview of SDR
Overview of GNU Radio
Overview of GNU Radio software libraries
Overview of GNU Radio Companion (GRC)
Overview of Python and C++
Overview of Linux
Overview of Universal software radio peripherals
SDR and GNU Radio modules
Systems using HackRF One
Assessments of physical RF devices
How to Fingerprint on RF spectrum?
Hunting signals
Hardware Hacking 101
Reversing and Instrumentation (embedded RF systems)
IoT Hacking with SDR
Overview of Wi-Fi and Bluetooth
Open source SDR LTE software / FM Radio
Principles of Radar detector
Principles of Remote Controlled Cars
SDR Offensive Security
Request more information regarding SDR Training with HackRF. Visit tonex.com for course and workshop detail.
SDR Training with HackRF - Tonex Training
https://www.tonex.com/training-courses/sdr-training-with-hackrf-advanced-software-defined-radio-training/
The Optimization of IPTV Service Through SDN In A MEC Architecture, Respectiv...CSCJournals
The aim of this paper is to present the ‘Power’ of SDN Technology and MEC Technic in improving the delivering of IPTV Service. Those days, the IPTV end –users are tremendous increased all over the world , but in the same time also the complains for receiving these prepaid real time multimedial services like; high latency, high bandwidth, low performance and low QoE/QoS. On the other end, IPTV Distributors need a new system, technics, network solutions to distribute content continuesly and simultaneously to all active end-users with high-quality, lowlatency and high Performance, thus monitoring and re-configuring this ‘Big Data’ require high Bandwidth by causing difficult problems by offering it affecting in the same time the price and QoE/QoSperformance of delivered service.
For this reason, we have achieved to optimize the IPTV service by applying SDN solution in a MEC Architecture (Multiple-Access Edge Computing). In this way , through MEC Technology and SDN, it is possible to receive an IPTV service with Low Latency, High Performance and Low Bandwidth by solving successfully all the problems faced by the actual IPTV Operators. These improvements of delivering IPTV service through MEC will be demonstrated by using the OMNet +++ simulator in an LTE-A mobile network. The results show clearly that by applying the MEC technique in the LTE-A network for receiving IPTV Service through SDN Network, the service was delivered with latency decreased by >90% (compared to the cases when the MEC technique is not applied), with PacketLoss of almost 0 and with high performance QoE. In addition these strong Contributions, the ‘Big’ innovation achieved in this work through simulations is that the quality of delivered IPTV Service did not change according to the increasing of the end-users.This latency of delivering the video streaming services did not change. This means that the IPTV Service providers will increase their benefits by ensuring in the same time also the delivering of service with high quality and performance toward innumerous end users. Consequently, MEC Technology and SDN solution will be the two right and "smart" network choices that will boost the development of the 5th Mobile generation and will significantly improve the benefit of Video Streaming services offered by current providers worldwide (Netflix, HULU, Amazon Prime, YouTube, etc).
Achievements and future works of ITU-T Study Group 11 on Signalling requirements, protocols and test specifications
Presented at WTSA-16 by Mr Kaoru Kenyoshi, Vice-Chairman, on behalf of Mr Wei Feng, Chairman of of ITU-T Study Group 11
Achievements and future works of ITU-T Study Group 13 on Future networks including cloud computing, mobile and next-generation networks
Presented at WTSA-16 by Mr Leo Lehmann, Chairman of ITU-T Study Group 13
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within tight power and thermal budgets. Advancements in multiple areas are necessary to improve AI model efficiency, including quantization, compression, compilation, and neural architecture search (NAS). In this presentation, we’ll discuss:
- Qualcomm AI Research’s latest model efficiency research
- Our new NAS research to optimize neural networks more easily for on-device efficiency
- How the AI community can take advantage of this research though our open-source projects, such as the AI Model Efficiency Toolkit (AIMET) and AIMET Model Zoo
SCA To Date and Motivation for Change. These slides will discuss why the JTRS Program Executive Office (JPEO) is aggressively procuring Software Defined Radio (SDR) consortium and industry assistance to spearhead a high impact evolution of the Software Communications Architecture (SCA) intended to deliver better radio performance along with a smaller footprint for waveforms and radio software. The webcast audience will learn about innovative SCA change proposal details and identified opportunities for near term radio performance impact with rapid market availability of these new capabilities via highly motivated COTS SDR software and development tool vendors.
SDR Training with HackRF - Tonex TrainingBryan Len
Length: 3 Days
SDR Training with HackRF, Advanced Software Defined Radio Training is a 3-day hands-on advanced SDR training course, Software-Defined Radio Development with GNU Radio utilizing HackRF One. The 3-day advanced SDR covers both hypothesis and application of SDR utilizing HackRF One.
.
SDR Training with HackRF. Advanced Software Defined Radio Training.
Participants will learn about:
Software Defined Radio and Digital Signal Processing
Theory and practice with hands-on SDR implementations using the Universal Software Radio Peripheral (USRP) SDR platforms
Necessary SDR signal processing building blocks, SDR application development using Python and C++ concepts required for GNU Radio development
How to apply HackRF and GNU Radio
How to use and apply GNU Radio Companion (GRC)
Security applications of SDR and RF Vulnerabilities
Course Agenda
Principles of Signal processing and applied RF
Overview of SDR
Overview of GNU Radio
Overview of GNU Radio software libraries
Overview of GNU Radio Companion (GRC)
Overview of Python and C++
Overview of Linux
Overview of Universal software radio peripherals
SDR and GNU Radio modules
Systems using HackRF One
Assessments of physical RF devices
How to Fingerprint on RF spectrum?
Hunting signals
Hardware Hacking 101
Reversing and Instrumentation (embedded RF systems)
IoT Hacking with SDR
Overview of Wi-Fi and Bluetooth
Open source SDR LTE software / FM Radio
Principles of Radar detector
Principles of Remote Controlled Cars
SDR Offensive Security
Request more information regarding SDR Training with HackRF. Visit tonex.com for course and workshop detail.
SDR Training with HackRF - Tonex Training
https://www.tonex.com/training-courses/sdr-training-with-hackrf-advanced-software-defined-radio-training/
The Optimization of IPTV Service Through SDN In A MEC Architecture, Respectiv...CSCJournals
The aim of this paper is to present the ‘Power’ of SDN Technology and MEC Technic in improving the delivering of IPTV Service. Those days, the IPTV end –users are tremendous increased all over the world , but in the same time also the complains for receiving these prepaid real time multimedial services like; high latency, high bandwidth, low performance and low QoE/QoS. On the other end, IPTV Distributors need a new system, technics, network solutions to distribute content continuesly and simultaneously to all active end-users with high-quality, lowlatency and high Performance, thus monitoring and re-configuring this ‘Big Data’ require high Bandwidth by causing difficult problems by offering it affecting in the same time the price and QoE/QoSperformance of delivered service.
For this reason, we have achieved to optimize the IPTV service by applying SDN solution in a MEC Architecture (Multiple-Access Edge Computing). In this way , through MEC Technology and SDN, it is possible to receive an IPTV service with Low Latency, High Performance and Low Bandwidth by solving successfully all the problems faced by the actual IPTV Operators. These improvements of delivering IPTV service through MEC will be demonstrated by using the OMNet +++ simulator in an LTE-A mobile network. The results show clearly that by applying the MEC technique in the LTE-A network for receiving IPTV Service through SDN Network, the service was delivered with latency decreased by >90% (compared to the cases when the MEC technique is not applied), with PacketLoss of almost 0 and with high performance QoE. In addition these strong Contributions, the ‘Big’ innovation achieved in this work through simulations is that the quality of delivered IPTV Service did not change according to the increasing of the end-users.This latency of delivering the video streaming services did not change. This means that the IPTV Service providers will increase their benefits by ensuring in the same time also the delivering of service with high quality and performance toward innumerous end users. Consequently, MEC Technology and SDN solution will be the two right and "smart" network choices that will boost the development of the 5th Mobile generation and will significantly improve the benefit of Video Streaming services offered by current providers worldwide (Netflix, HULU, Amazon Prime, YouTube, etc).
Achievements and future works of ITU-T Study Group 11 on Signalling requirements, protocols and test specifications
Presented at WTSA-16 by Mr Kaoru Kenyoshi, Vice-Chairman, on behalf of Mr Wei Feng, Chairman of of ITU-T Study Group 11
IPTV Improvement Approach over LTE-WLAN Heterogeneous NetworksIJCNCJournal
IPTV (Internet Protocol Television) includes several video components. The IMS (IP Multimedia Subsystem) cannot differentiate between them what causes their treatment similarly. These sub-components must have different priorities because they have distinct QoS constraints. In this paper, we suggest the implementation of IPTV in a heterogeneous network that improved QoS by providing the capability to prioritize the sub traffic according to the system administrator policy. A new IPv6 flow label field definition was proposed that is ready for standardization. OPNET Modeler software is used to design our approached architecture. The results show that IPTV users receive different amounts of video data based on the stream's priority.
IPTV IMPROVEMENT APPROACH OVER LTEWLAN HETEROGENEOUS NETWORKSIJCNCJournal
IPTV (Internet Protocol Television) includes several video components. The IMS (IP Multimedia
Subsystem) cannot differentiate between them what causes their treatment similarly. These sub-components
must have different priorities because they have distinct QoS constraints. In this paper, we suggest the
implementation of IPTV in a heterogeneous network that improved QoS by providing the capability to
prioritize the sub traffic according to the system administrator policy. A new IPv6 flow label field
definition was proposed that is ready for standardization. OPNET Modeler software is used to design our
approached architecture. The results show that IPTV users receive different amounts of video data based
on the stream's priority.
Performance Model of Key Points At the IPTV NetworksCSCJournals
In this paper we propose a new analytical model for modeling of the key points at the IPTV networks. This model uses Gamma distribution with Intergroup Characteristics for modeling self similar nature of processes in key points of IPTV network. Enclosed Gamma Distribution results are compared with results from real measurements. Calculated discrepancies confirm that enclosed analytical model is optimal estimation model for process modeling of the key points at the IPTV network. The used methodology for real-time analyses of the key points at the IPTV Network is very important for achieving IPTV service best performance.
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz FrequencySukhvinder Singh Malik
The Long Term Evolution (LTE) is the latest step in an advancing series of mobile telecommunications systems.
In this paper, authors show interest on the link budgeting the information presented here will help readers understand how the budgeting will be done in LTE. This paper provides
dimensioning of LTE for particular city.
This will provides the number of cell count. Here we tell about a GUI MATLAB System for calculation of no. of resources required to provide services in particular area with optimum cost and better quality.
Significant amount of research and development has been made in the field of core network and it operates in hundreds Gigabits per second (Gbps) speed currently. But on seeing the growth in bandwidth demand in the access network which is exploding day by day, the only promising solution is to upgrade the access network. So it is essential to have an efficient access network that can operate at high functional speeds to support differentiated services like Video on Demand (VOD), High Definition TV, video conferencing, Telemedicine, Uploading and Downloading jumbo files. Apart from these access network always been sensitive to cost and geographical region of coverage it can handle. So internet service providers will have to make a tradeoff between capital expenditure (CAPEX), operational expenditure (OPEX) and geographical region of coverage.
There are mainly five types of access network APON, BPON, GPON, EPON and 10G-EPON. APON provides 622 Mbps of downstream bandwidth and 155 Mbps of upstream. GPON was the advanced version of the BPON and support at a rate of 2.444 Mbps and 1.42 Mbps in downstream and upstream data rate. EPON has symmetry of 1Gbps of upstream and downstream rates. EPON is totally data-centric based on voice, video and data. 10G-EPON is capable of providing broadband access to large number of customers in metropolitan area. Due to the advancement in the optical technology, 10G-EPON (IEEE 803.2av) provides 1Gbps and 10Gbps upstream and downstream data rate with distance more than 20 km.
end to end delay performance analysis of video conferencing over lteINFOGAIN PUBLICATION
Mental development to use the data, such as multimedia, video and online games led to the development of a technique called LTE long term evolution. The goal of this paper is to analyze the quality of service (QoS) performance and its effects when video is streamed over LTE .Using OPNET (Optimized Network Engineering Tool). the performance can be simulated having Different scenarios for video conferencing . in addition to we also measured the performance of packet End-to-End delay .
Wimax Emulator to Enhance Media and Video Qualityijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Triple Play service is a marketing term for provisioning of two bandwidth-intensive services, high-speed Internet access and television, and a less bandwidth-demanding (but more latency-sensitive) telephone service, over a single broadband connection.
In this thesis, the effect of mobility of mobile WiMAX subscribers on video on demand (VOD) over WiMAX is analyzed by considering the scalable video coding (SVC) codes for video streaming. This experiment has been carried out using OPNET modeller 14.5. To compare the performance of Internet Protocol television (IPTV) over WiMAX, the packet delay variation, packet end to end delay, delay and load matrices are used. The result shows that after certain speed, the load increases, the delay again decreases and there is no change in the packet delay variation and packet end to end delay.
Key words: WiMAX, OPNET, scalable video coding (SVC), wireless networks, IEEE 802.16, internet protocol television (IPTV).
An Overview on Multimedia Transcoding Techniques on Streaming Digital Contentsidescitation
The current IT infrastructure as well as various
commercial applications are directly formulated based on
deployment in multimedia system e.g. education, marketing,
risk management, tele-medicines, military etc. One of the
challenges found in using such application is to deliver
uninterrupted stream of video between multiple terminals
e.g. smart-phone, PDAs, laptops, IPTV etc. The research shows
that there is a stipulated need of designing novel mechanism
of bit rate adjustment as well as format conversion policy so
that the source stream may stream well in diverse end devices
with multiple configuration of processor, memory, decoding
etc. This paper discusses various eminent points from
literature that will throw better highlights in understanding
a schema of direct digital-to-digital data conversion of one
encoding to another termed as transcoding. Although
multimedia transcoding has covered more than a decade in
the area of research, but unfortunately, there is a huge trade-
off between the application, service, resource constraint, and
hardware design that gives rise to QoS issues.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
An Approach to Detecting Writing Styles Based on Clustering Techniques
Itu ngn-v2
1. Eng. Luis Enrique Conde del Oso.
ETECSA. Cuba
luis.conde@etecsa.cu
Telephone: 537 2666825 Mobile 53 52884472
“Evaluation of the QoE in NGN starting from UIT recommendations.”
“ITU-T Standardization and other key ITU Activities”
Havana, Cuba from 8 to 9 February 2011.
2. • Background.
Current scenario
of Telecom
Carriers
• Obsolescence of TDM Technology.
• Requirements for new services and increase of the current services.
- Fixed telephone service growth.
- Mobile service growth
- Wide development of data services.
- Introduction of novel services such as IPTV.
Proposal of Development
• Development of Services on NGN networks with NAM (GIE).
• Optimization of National Transport Network IP/MPLS.
• Designs and implementation of Local and Regional Metro
Networks.
• Introduction of the objective quality validation of services in real
time (and its extension to quality profile of telecommunications
network).
Beginning of the scheduled development
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 1
3. • The Metro Ethernet like support of the
Broadband.
Source: Telecom Italia – VPDT ETECSA.
Standards defined in the T-MPLS:
G.8110.1 Network Architecture of T-MPLS
G.8113 Requirements OAM
G.8114 OAM
G.8112 UNI/NNI
G.8131 Lineal Protection
G.8132 Rings Protection
G.8121 Equipment T-MPLS
G.8151 EMF
G.8152 Infomodel
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso.
Ring
Ring
Ring
To the Service POP
To the Service POP
To the Service POP
2
4. • Pseudo rings of the Provincial Metro Ethernet of Havana. Network simulations in TILAB.
Source: VPDT. ETECSA.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 3
5. BRAS PE
IP/MPLS
AR BRAS PEAR
METRO
REGIONAL
Service PoPService PoP
METRO
PROVINCIAL ADMADM
ADMADM
ADMADM
Eth/SDH
Source: VPDT. ETECSA.
E1
STMn
FE
GE
Platform
of IPTV
VoD
VoD
Punto 1
Validación
Punto 2
Validación
Punto 3
Validación
(Signal encrypted)
(Signal no
encrypted)
The Operators of
Telecommunications
generally use unique
network which
include the return
channel, and they are
IP broadband network
with solutions FTTH,
FTTB and FTTC and
last mile
Technologies ADSL,
ADSL2 +, VDSL,
VDSL2 + and GPON.
In these network
protocols like PIM,
IGMP and BGP should
be activated.
• Different levels of a NGN Network.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 4
6. • Quality Profile on networks, according to the following ITU-T Recommendations G.1050, and ITU-T
Y.1541.
Source: UIT-T.
Source Spirent.
DSL Forum's WT-126
•SD. 1 pack./loss every
30 minutes.
(MLR=0.004 pack/seg)
•HD 1pack./loss. every
4 hours
(MLR=0.0005 pack/seg)
Source: DSL Forum's WT-126
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 5
7. Source Asistencia Técnica de Telecom Italia.
• Quality Profile of ToIP, according to the ITU-T Recommendations .
ITU-T G.114 Delay ≤ 300 mseg.
(Bidirectional).
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 6
8. • Obtaining of the information for the validation of the quality of the video signal.
A video signal to be
transmitted over a IP
network should be
compressed. The codec
MPEG defines a
sequence of images I, B
and P, which a GOP
conforms. In the header
of these packets they are
fields that possess
outstanding information's
to be able to make the
validation of the quality
of the video signal
Source: Shenick.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 7
9. 8 Bytes
• Main fields of the header in Transport Stream.
Source: UIT-T
They group in 3 levels of priority:
Priority 1. Correct decoding.
Priority 2. Quality Tx of the IP
Package.
Priority 3. It Influences in specific
applications.
Fecha: 4/11/2010 Vicepresidencia Desarrollo y Tecnología
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 8
10. • QoE and QoS.
SLA SLA SLA
Human Vision Constraints.
Perceived Quality (QoE), at service level end to end.
STB influence
Quality
dependence of
the Service
Network Quality (QoS), transport packet functionSource: VPDT. ETECSA.
Data Metrics
“Same value of PSNR”
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 9
11. Metrics
(VQM)
Subjective
Metrics
Implicit comparison (DSCQS).
Explicit comparison (DSIS)
Absolute valuations (SSCQE)
Valuations with Absolute Category (ACR).Objective
Metrics
Ref. Complete.
Ref. Reduced.
Without Reference.
Picture Metrics
Analysis of the Information
visual contained.
VHS Metric.
(Aspects of the Human vision)
Data Metrics
Analysis of Videos
Decoded.
MSE
PSNR
(Evaluation of Packages)
Flows of Video
Metrics
T- Factor (Deep Inspection of the flow of the Video (TS
and UDP). The impact of the disturbances of the Network
depends on the Codec, the losses and its propagation
(space and time).
MDI (Slight Inspection of the Video flow (TS and UDP).
Independent of the Codec IP Network.).
Correlation
Source: VPDT. ETECSA.
• State of the art of validation Metrics for video quality.
BT.500.11 (Images of TV).
P.910 (Aplic. of Multimedia), Video Quality.
P.911 (Aplic. of Multimedia), Audiovisual Quality.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 10
12. FreeProbe with T- Factor Metric.
• Development of metrics in FreeProbe Tools. (Software open source).
Source: Telecom Italia - VPDT. ETECSA.
FreeProbe with MDI Metric.
Freeprobe for Codec H.264 AVC.
FreeprobeJPER (ToIP Service)
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 11
13. • Windows (GUI) of FreeProbe (T-Factor Metric ) .
SA: Service Availability.
SD: Service degradation.
SI: Service Impairment.
It is based on the
propagation of errors
inside the GOP, among
images I, P and B during
the transport of the same
one in the IP network,
taking in consideration the
behavior of the error
accountants SAE, SDE and
SIE, in the period of
analysis of the quality,
having in bill determined
preset thresholds and the
priority defined in the
obtained parameters of the
head of the packages.
Fuente Telecom Italia - VPDT. ETECSA.
Delay
Jitter
Packet
Loss
Dependent of the codification
Metric with capacity of identification of
errors at level of MPEG-2 caused by
losses of packages UDP/RTP.
Metric of macro indicators SA,SD y SI
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 12
14. Here the impact of the transcodificación of the signal was evaluated due to not having the contents the
same code format as well as the employment of a Hybrid solution in Havana City and its repercussion
starting from the behavior of the error accountants SAE, SDE and SIE in the period of evaluation of the
quality and its correlation with the subjective observation of the sign.
This test allowed the
evaluation of the
potentialities and the
weaknesses of the
ETECSA access network
to support a service of
BTV, MPEG-2, and it
consisted on the design
of a Hybrid Network that
simulates the solution
used by Orange in its
service of IPTV, which
allows to increase the
covering of a service of
BTV in areas where you
cannot offer an
appropriate band width
for this service. It
facilitates the
determination of Eligible
and Not Eligible Users
• Test with the FreeProbe (T-factor), simulation of the solution of Orange.
Source. VPDT. ETECSA.
200 Watts
Elegible Users
≤ 500 m @ 4 Mbps
Not Eligible Users
2 Km. @ 512 Kbps
SA: Service Availability.
SD: Service Degradation.
SI: Service Impairment.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 13
15. It is based on the analysis of the
behavior of the buffer,
“Underflow” or “Overflow” of the
same one, that which can cause
the freezing of the image or the
appearance of defects in the
same product of excessive
losses of packages, having
bigger repercussion if these lost
packages contain images of the
type I or P.
Fuente Telecom Italia
DF: MLR
(RFC- 4445)
Propuesta
It doesn't depend on the codification
DF = [VB(max) – VB(min)] / MR
MLR = (Prospective packages-
Received Packages) / interval of
time in secondsDelay
Jitter
Packet
Loss
A Buffer Virtual minimum 1Mb, requires
which adds a retard of 266.67 mseg
(1Mb / 3.75 Mbps)
Metric Media Delivery Index
DF= Delay Factor
MLR= Media Loss Rate
DF:MLR
• Windows (GUI) of FreeProbe (Metric MDI) .
Source Telecom Italia - VPDT. ETECSA.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 14
16. Source VPDT. ETECSA.
The introduction of the
metric MDI in the
Freeprobe and the
necessity of making
experimental tests to
define the necessary
objective-subjective
correlation and to
determine the respective
thresholds in each
disturbance type, made
necessary the design of a
laboratory testing model.
• IPTV Service Testing Model applied at ETECSA test.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 15
17. • Services implemented in IPTV Platform in Testing Model.
Source: VPDT. ETECSA.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 16
18. Video Server
NetDisturb
Source VPDT. ETECSA.
Source: Telecom Italia – VPDT ETECSA.
• Training preparation of the subjective observer.
Delay
Jitter
Packet Loss
UIT-T J.144R y UIT-R BT.1683.
Muy Molesto Presencia elevada de errores que perjudican el audio y el video
(1)
(2)
(3)
(5)
(4)
MOS DMOS
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 17
19. Source: Telecom Italia - VPDT. ETECSA.
• Test results done in the testing model (Channel SD to 4 Mbps)
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 18
20. Source: Telecom Italia - VPDT. ETECSA.
Results of the Simulations Tests.
Uniform packet loss: Superior losses to 0.001% are inadequate
for a service of IPTV and they have bigger impact in the audio
one that in the video.
Packet Loss in Burst: Bigger affectation in the video that in the
audio one, however they are less annoying for the user than the
uniform losses.
Delay and the Jitter: Affectations are not observed in the range
between 0 and 50 mseg, what demonstrates the
recommendations of the WT-126 of the DSL Forum´s.
• Test results done in the testing model (Channel SD to 4 Mbps)
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 19
21. Serv
POP 2
DWDM
Serv
POP 4
Serv
POP 1
Serv
POP 3
Pseudo ring
Ethernet
Pseudo ring
Ethernet
Pseudo ring
Ethernet
CUB
Source: Telecom Italia - VPDT. ETECSA.
FreeProbe
FreeProbe Server
Measurement point
Data collect
FreeProbe
IPTV
Head End
FreeProbe
•Centralization of QoE Validation with FreeProbe to substitute solutions
with Shadow Router. (Cisco, Tektronix, JDSU, Huawei).
Metric MDI
Metric MDI
Metric T-Factor
SNMP
SNMP
SNMP
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 20
22. VLAN
QoS
Source: VPDT. ETECSA.
VLAN 10
VLAN 20
VLAN 30
• Results of the Tests of the Triple Service Play with FreeProbe (MDI).
Results of the tests of a
Triple Play service with
the use of the FreeProbe
with metric MDI in the
testing model, with the
services BTV (1.5 Mbps
MPEG-2), Access to
Internet and ToIP
(G.729A) on a Network
with QoS and without
implemented QoS
(Network BPL vs Intranet
of ETECSA).
QoS
BPL
Intranet
Nacional
de
ETECSA
Red
Eléctrica
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 21
23. Video Server
Source: VPDT. ETECSA.
• Methodology for the measurement of the capacity of memory of temporary
storage (Buffer) of the STB AmiNET110.
1.5 seg
4 Mbps and codification MPG2
Methodology for the
measurement of the capacity of
memory of temporary storage
(Buffer) of the STB AmiNET110.
Capacity of Memory = 6 Mb.
(Without Packets Loss)
HUB
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 22
24. Conclusions.
The design of the IP network of broadband in ETECSA with the implementation of protocols
like the PIM, IGMP and BGP among others constitutes the fundamental pillar of the
development of the Objective Network of ETECSA, allowing the expansion of the NGN and the
possibility of offering novel services like the IPTV.
The valuable theoretical and investigative experiences developed for the appropriate
correlation of the QoS and the QoE with the employment of the probe FreeProbe, with metric
T-factor and MDI, they have allowed ETECSA to have a tool personalized for the validation of
the quality of the service of IPTV, which was extended, with the addition of new metric in the
Freeprobe that include the validation of the service of ToIP (at the moment in test).
The Platform of Services of IPTV developed in ETECSA, jointly with the laboratory testing
model that incorporates a IP network emulator was an important aspects that minimized the
costs of the investments of the investigative stage were and they allowed to obtain important
theoretical and practical results.
The proposal of use of the FreeProbe (MDI) to validate the Profile of Quality of the IP Network
of ETECSA, it transforms it into an important alternative in front of the expensive acquisition of
the Shadow Router dedicated to this only function.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 23
25. Recommendations.
The study of the open source code of the VideoLAN is an important recommendation that
will facilitate the creation of new developments of applications of IPTV.
To use the probe FreeProbe with Metric T-factor and Metric H.264 for the tests of validation
of systems of TDT and for a future service of IPTV about the mobile service 3G.
To extend the employment of the FreeProbe with Metric MDI to the IP networks of ETECSA
for the evaluation of their Profile of Quality and the detection of the network element that
originates the disturbance.
To validate the employment of the FreeProbeJPER for the evaluation of the channels of
ToIP in the NGN network.
The design of the testing model that incorporates a generator of disturbances is an
important tool that will allow the appropriate Objective-Subjective correlation in the FreeProbe
with new metric with capacities of evaluating the quality of services in real time as ToIP.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 24
26. In line with the world…
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso. 25
27. • Original video VS Original video with 1% Packet Loss Rate.
• Original Video. •Video with 1% Packet Loss Rate.
Source VPDT. ETECSA.
ITU-T Standardization and other key ITU Activities
Eng. Luís Enrique Conde del Oso.
Editor's Notes
Los Operadores de Telecomunicaciones emplean generalmente redes únicas las cuales incluyen el canal de retorno, y son redes IP de banda Ancha con soluciones FTTH, FTTB y FTTC con tecnologías de última milla ADSL, ADSL2+, VDSL y GPON.
Se muestra las Redes Metro Ethernet a Niveles Regionales y Provinciales, la propuesta de interconexión de los servicios de IPTV, BTV y VoD, así como los posibles puntos de validación de la calidad de la señal de video. Estas Redes Metro Ethernet se encargarán de transportar los tráficos de los usuarios hacia el Service PoP y en la misma se deben activar protocolos como el PIM, IGMP y BGP. Hacer indicación de Referencia Bibliográfica.
Especificaciones de los umbrales de los disturbios para la evaluación de la calidad del servicio VoIP.
Una señal de video para ser transmitida sobre una red IP debe ser codificada. La codificación MPEG define una secuencia de imágenes I, B y P, las cuales conforman un GOP. En la cabecera de estos paquetes se encuentran campos que poseen informaciones relevantes para poder efectuar la validación de la calidad de la señal de video.
Aquí se observan los principales campos que conforman la cabecera del Transport Stream. Campos como el PCR, Prioridad del PES, Contador de Continuidad. Program ID, entre otros aportan una importante información a las métricas de validación de la calidad de la señal de video. Estos parámetros pueden agruparse e 3 niveles de prioridad.
Resumen de las métricas VQM. Métricas objetivas y subjetivas. Dentro de las métricas objetivas mas utilizadas por los operadores de telecomunicaciones en la validación de la calidad de la señal de video se encuentran las métricas T-Factor y la MDI.
Se muestra la interfaz de usuario del FreeProbe con métrica T-Factor, en la cual se realiza una profunda inspección de la cabecera del paquete TS, por lo que la señal transmitida no debe estar encriptada, y se basa en la propagación de errores dentro del GoP, entre imágenes I, P y B durante el transporte de la misma en la red IP. toma en consideración el comportamiento de los contadores de error SAE, SDE y SIE, en el período de análisis de la calidad , teniendo en cuenta determinados umbrales prefijados y la prioridad definida en los parámetros de paquetes MPEG para indicar la QoE y su necesaria correlación objetiva-subjetiva.
Esta métrica es dependiente del tipo de codificación empleada y analiza el impacto del retardo, el Jitter y la pérdida de tipos de paquete en la QoE percibida por el usuario final.
Esta prueba permitió la evaluación de las potencialidades y las debilidades de las redes de acceso de ETECSA para soportar un servicio de BTV y consistió en el diseño de una Red Híbrida que simula la solución utilizada por Orange en su servicio de IPTV, la cual permite aumentar la cobertura de un servicio de BTV en áreas donde no se puede ofertar un ancho de banda adecuado para este servicio. Determinación de Usuarios Elegibles y no Elegibles
Aquí se evaluó el impacto de la transcodificación de la señal debido a no tener los contenidos el mismo formato de codificación así como el empleo de una solución Híbrida en Ciudad Habana y su repercusión.
Se evaluaron 2 canales de BTV a 1.5 Mbps y codificación MPEG-2 en un período de 24 horas utilizando el Freeprobe con métrica T-Factor y el comportamiento de los contadores de error SAE, SDE y SIE en el período de evaluación de la calidad y su correlación con la observación subjetiva de la señal.
Realiza una ligera inspección de la cabecera, lo cual permite la encriptación de la señal. La Interfaz de usuario del FreeProbe con Métrica MDI, tiene amplia utilización de los Operadores de Telecomunicaciones para evaluar la QoE sobre sus redes IP, en los servicios de IPTV y se basa en el análisis del comportamiento del buffer, Vaciado o Desbordamiento del mismo, lo cual puede provocar la congelación de la imagen o la aparición de defectos en la imagen producto de la pérdida excesiva de paquetes, los cuales tienen mayor transcendencia si estos contienen imágenes I ó P. Esta herramienta fue utilizada en las pruebas experimentales y en la cual fue propuesta a Telecom Italia una nueva forma de validación del MLR en el cual se pueda apreciar si la red IP puede soportar servicios de SD ó de HD.
Diseño de maqueta de laboratorio interconectada con la Intranet de ETECSA a través de un router, la cual dispone de 3 tecnologías de acceso, un servidor que incluye la Plataforma de servicios de IPTV, Servicios de DHCP, TFTP y Gatekeeper para servicios de VoIP. Esta Plataforma dispone además de una PC con 2 tarjetas de red que emula una Red IP sobre la cual se pueden generar de manera controlada disturbios como Jitter, los retardos y la pérdida o reordenamiento de paquetes. Esta maqueta es imprescindible para las pruebas de correlación objetiva-subjetiva de la nueva métrica MDI incorporada al FreeProbe.
Servicios implementados VoD, BTV, Videoconferencia IP y simulador de STB en una PC, utilizados en las pruebas experimentales efectuadas. Estos servicios consideraban los tradicionales aspectos comerciales de los mismos.
Categorización de la calidad subjetiva percibida por el usuario final utilizada en el entrenamiento para la posterior evaluación de la QoE ante la generación de disturbios controlados en una red IP con el objetivo de evaluar sus impactos y determinar sus umbrales aceptables. Entrenamiento de los evaluadores.
Perdida uniforme de paquetes: Pérdidas superiores al 0.001% son inadecuadas y tienen mayor impacto en el audio que en el video.
Pérdidas en Ráfagas: Mayor afectación en el video que en el audio, sin embargo son menos molestas para el usuario que las pérdidas uniformes.
Retardo y el Jitter: No se observan afectaciones en el rango entre 0 y 50 mseg, lo que demuestra las recomendaciones del WT-126 del DSL Forum´s.
Perdida uniforme de paquetes: Pérdidas superiores al 0.001% son inadecuadas y tienen mayor impacto en el audio que en el video.
Pérdidas en Ráfagas: Mayor afectación en el video que en el audio, sin embargo son menos molestas para el usuario que las pérdidas uniformes.
Retardo y el Jitter: No se observan afectaciones en el rango entre 0 y 50 mseg, lo que demuestra las recomendaciones del WT-126 del DSL Forum´s.
Resultados de las pruebas de un servicio Triple Play con la utilización del Freprobe con métrica MDI en la maqueta con los servicios de BTV (1.5 Mbps MPEG-2), Acceso a Internet y ToIP sobre una Red con QoS y sin QoS implementada, utilizando el Freeprobe con métrica MDI.
Metodología de prueba utilizada para determinar la capacidad de la memoria de almacenamiento con el empleo del servicio BTV ( 4 Mbps y codificación MPEG-2) de la maqueta el empleo de la marca de agua con el tiempo incorporado y el Freeprobe con métrica MDI, donde el DF= Capacidad de Memoria / Bit Rate (sin pérdidas de paquetes). Capacidad Memoria = 6 Kb.
Leer y hacer referencia al final de la participación y muestra de los resultados en el Evento de Interoperabilidad en Latinoamérica de la UIT.T.
Leer y hacer referencia al final de la participación y muestra de los resultados en el Evento de Interoperabilidad en Latinoamérica de la UIT.T.