This document provides a summary of Yue Yang's background and experiences. It outlines that Yang currently works as a Senior System Engineer at Qualcomm, focusing on 5G and LTE protocols. Yang has a PhD in electrical engineering from the University of Washington, with a focus on wireless communication, networking, and IoT. Yang has over 5 years of experience in wireless communication and networking protocols, IoT, and has multiple patents in 5G and LTE.
First Steps Toward Scientific Cyber-Security Experimentation in Wide-Area Cyb...DETER-Project
Abstract: Steps towards an environment for repeatable and scalable experiments on wide-area cyber-physical systems. The cyber-physical systems that underlie the world's critical infrastructure are increasingly vulnerable to attack and failure. Our work has focused on secure and resilient communication technology for the electric power grid, a subset of the general cyber-physical problem. We have demonstrated tools and methodology for experimentation with GridStat, a middleware system designed to provide enhanced communication service for the grid, within the DeterLab cyber-security testbed. Experiment design tools for DeterLab and for GridStat will ease the creation and execution of relatively large experiments, and they should make this environment accessible to users inexperienced with cluster testbeds. This abstract presents brief overviews of DeterLab and of GridStat and describes their integration. It also describes a large scale GridStat/DeterLab experiment.
For more information, visit: http://www.deter-project.org
Bit Error Rate Analysis in WiMAX Communication at Vehicular Speeds using mod...IJMER
At high vehicular speeds, rapid changes in surrounding environments, cause severe fading at
the receiver, resulting a drastic fall in throughput and unless any proactive measure is taken to combat
this problem, throughput becomes insufficient to support many applications, particularly those with
multimedia contents. Bit Error Rate (BER) estimation is an integral part of any proactive measure and
recent studies suggest that Nakagami-m model performs better for modelling channel fading in wireless
communications at high vehicular speeds. No work has been reported in literature that estimates BER
at high vehicular speeds in WiMAX communication using Nakagami-m model. In this thesis, we develop
and present an analytical model to estimate BER in WiMAX at vehicular speeds using Nakagami-m
fading model. The proposed model is adaptive and can be used with resource management schemes
designed for fixed, nomadic, and mobile WiMAX communications.
International Journal on AdHoc Networking Systems (IJANS)pijans
In recent years, AdHoc networks have been attracting much interest in both academic and industrial communities. International Journal on AdHoc Networking Systems is an open access peer-reviewed journal that serves as a forum to discuss on ongoing research and new contributions. The journal addresses both practical and theoretical research in the areas of ad hoc networks, sensor networks, mesh networks and vehicular networks. Its main focus is on all issues from link layer up to the application layer. The journal solicits original technical papers that were not previously published and are not currently under review for publication elsewhere.
Statistical Dissemination Control in Large Machine-to-Machine Communication N...kitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
A Trust-Based Predictive Model for Mobile Ad Hoc Networkspijans
The Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, it must be compatible with WSNs and MANETs. In light of this, the present paper discusses a novel quantitative trust model for an IoT-MANET. The proposed trust model combines both direct and indirect trust opinion in order to calculate the final trust value for a node. Further, a routing protocol has been designed to ensure the secure and reliable end-to-end delivery of packets by only considering trustworthy nodes in the path. Simulation results show that our proposed trust model outperforms similar existing trust models.
First Steps Toward Scientific Cyber-Security Experimentation in Wide-Area Cyb...DETER-Project
Abstract: Steps towards an environment for repeatable and scalable experiments on wide-area cyber-physical systems. The cyber-physical systems that underlie the world's critical infrastructure are increasingly vulnerable to attack and failure. Our work has focused on secure and resilient communication technology for the electric power grid, a subset of the general cyber-physical problem. We have demonstrated tools and methodology for experimentation with GridStat, a middleware system designed to provide enhanced communication service for the grid, within the DeterLab cyber-security testbed. Experiment design tools for DeterLab and for GridStat will ease the creation and execution of relatively large experiments, and they should make this environment accessible to users inexperienced with cluster testbeds. This abstract presents brief overviews of DeterLab and of GridStat and describes their integration. It also describes a large scale GridStat/DeterLab experiment.
For more information, visit: http://www.deter-project.org
Bit Error Rate Analysis in WiMAX Communication at Vehicular Speeds using mod...IJMER
At high vehicular speeds, rapid changes in surrounding environments, cause severe fading at
the receiver, resulting a drastic fall in throughput and unless any proactive measure is taken to combat
this problem, throughput becomes insufficient to support many applications, particularly those with
multimedia contents. Bit Error Rate (BER) estimation is an integral part of any proactive measure and
recent studies suggest that Nakagami-m model performs better for modelling channel fading in wireless
communications at high vehicular speeds. No work has been reported in literature that estimates BER
at high vehicular speeds in WiMAX communication using Nakagami-m model. In this thesis, we develop
and present an analytical model to estimate BER in WiMAX at vehicular speeds using Nakagami-m
fading model. The proposed model is adaptive and can be used with resource management schemes
designed for fixed, nomadic, and mobile WiMAX communications.
International Journal on AdHoc Networking Systems (IJANS)pijans
In recent years, AdHoc networks have been attracting much interest in both academic and industrial communities. International Journal on AdHoc Networking Systems is an open access peer-reviewed journal that serves as a forum to discuss on ongoing research and new contributions. The journal addresses both practical and theoretical research in the areas of ad hoc networks, sensor networks, mesh networks and vehicular networks. Its main focus is on all issues from link layer up to the application layer. The journal solicits original technical papers that were not previously published and are not currently under review for publication elsewhere.
Statistical Dissemination Control in Large Machine-to-Machine Communication N...kitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
A Trust-Based Predictive Model for Mobile Ad Hoc Networkspijans
The Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, it must be compatible with WSNs and MANETs. In light of this, the present paper discusses a novel quantitative trust model for an IoT-MANET. The proposed trust model combines both direct and indirect trust opinion in order to calculate the final trust value for a node. Further, a routing protocol has been designed to ensure the secure and reliable end-to-end delivery of packets by only considering trustworthy nodes in the path. Simulation results show that our proposed trust model outperforms similar existing trust models.
INVESTIGATION OF BEAM FORMING EFFECTIVENESS IN IEEE802.11AC INDOOR WIRELESS L...cscpconf
The strong demand for large capacity transmission due to an unprecedented growth in data traffic requires an enhancement in the quality of service in the medium access control. This
quality delivery features strongly in the IEEE802.11ac standard. Here, we have performed empirical measurements of an 802.11ac system based on the beam forming technology. In this
work, an empirical analysis was conducted to determine the effectiveness of Beamforming Technology as depicts in the quality of service (QoS) enhancement in the newest wireless
technology deployed on IEEE802.11ac standard. The experimental outcomes revealed the quality of service (QoS) enhancement in IEEE802.11ac. Although the realized throughput in real application scenario fell below designed specification. Nevertheless there is a considerable
data throughput improvement on the counterpart 802.11n. There remain opportunities for further enhancements in beam-forming technology.
Learning-based Orchestrator for Intelligent Software-defined Networking Contr...ijseajournal
This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we
present this using Machine Learning in Software-Defined Networking technology. The first task consists of
extracting relevant information from the Data flow generated from a SDN and using them to learn, to
predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal
Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent
Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent
hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional
Neural Network model to separate the classes that we’re working on. The result was very promising the
model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to
researchers looking for the trade-offs between SDN performance and IA customization
MACHINE LEARNING FOR QOE PREDICTION AND ANOMALY DETECTION IN SELF-ORGANIZING ...ijwmn
Existing mobile networking systems lack the level of intelligence, scalability, and autonomous adaptability
required to optimally enable next-generation networks like 5G and beyond, which are expected to be Self -
Organizing Networks (SONs). It is anticipated that machine learning (ML) will be instrumental in designing
future “x”G SON networks with their demanding Quality of Experience (QoE) requirements. This paper
evaluates a methodology that uses supervised machine learning to predict the QoE level of the end user
experiences and uses this information to detect anomalous behavior of dysfunctional network nodes
(eNodeBs/base stations) in self-organizing mobile networks. An end-to-end network scenario is created using
the network simulator ns-3, where end users interact with a remote host that is accessed over the Internet to
run the most commonly used applications like file downloads and uploads and the resulting output is used as
a dataset to implement ML algorithms for QoE prediction and eNodeB (eNB) anomaly detection. Three ML
algorithms were implemented and compared to study their effectiveness and the scalability of the
methodology. In the test network, an accuracy score greater than 99% is achieved using the ML algorithms.
As suggested by the ns-3 simulation the use of ML for QoE prediction will help network operators understand
end-user needs and identify network elements that are failing and need attention and recovery.
Interference Revelation in Mobile Ad-hoc Networks and Confrontationirjes
In this paper, we utilize the Several interference revelation techniques proposed for mobile ad hoc
networks rely on each node passively monitoring the data forwarding by its next hop. This paper presents
quantitative evaluations of false positives and their impact on monitoring based interference revelation for ad
hoc networks. Experimental results show that, even for a simple three-node configuration, an actual ad-hoc
network suffers from high false positives; these results are validated by Markov and probabilistic models.
However, this false positive problem cannot be observed by simulating the same network using popular ad hoc
network simulators, such as ns-2, OPNET or Glomosim. To remedy this, a probabilistic noise generator model
is implemented in the Glomosim simulator. With this revised noise model, the simulated network exhibits the
aggregate false positive behavior similar to that of the experimental tested. Simulations of larger (50-node) ad
hoc networks indicate that monitoring-based interference revelation has very high false positives. These false
positives can reduce the network performance or increase the overhead. In a simple monitoring-based system
where no secondary and more accurate methods are used, the false positives impact the network performance in
two ways: reduced throughput in normal networks without attackers and inability to mitigate the effect of
attacks in networks with attackers.
Rapidly IPv6 multimedia management schemes based LTE-A wireless networksIJECEIAES
Ensuring the best quality of smart multimedia services becomes an essential goal for modern enterprises so there is always a need for effective IP mobility smart management schemes in order to fulfill the following two main functions: (I) interconnecting the moving terminals around the extended indoor smart services. In addition, (II) providing session continuity for instant data transfer in real-time and multimedia applications with negligible latency, efficient bandwidth utilization, and improved reliability. In this context, it found out that the Generalized Multi-Protocol Label Switching (GMPLS) over LTE-A network that offers many advanced services for large numbers of users with higher bandwidths, better spectrum efficiency, and lower latency. In GMPLS, there is an elimination of the routing searches and choice of routing protocols on every core LTE-A router also it provides the architecture simplicity and increases the scalability. A comparative assessment of three types of IPv6 mobility management schemes over the LTE-A provided by using various types of multimedia. By using OPNET Simulator 17.5, In accordance with these schemes, it was proven that the IPv6-GMPLS scheme is the best choice for the system's operation, in comparison to the IPv6-MPLS and Mobile IPv6 for all multimedia offerings and on the overall network performance.
INVESTIGATION OF BEAM FORMING EFFECTIVENESS IN IEEE802.11AC INDOOR WIRELESS L...cscpconf
The strong demand for large capacity transmission due to an unprecedented growth in data traffic requires an enhancement in the quality of service in the medium access control. This
quality delivery features strongly in the IEEE802.11ac standard. Here, we have performed empirical measurements of an 802.11ac system based on the beam forming technology. In this
work, an empirical analysis was conducted to determine the effectiveness of Beamforming Technology as depicts in the quality of service (QoS) enhancement in the newest wireless
technology deployed on IEEE802.11ac standard. The experimental outcomes revealed the quality of service (QoS) enhancement in IEEE802.11ac. Although the realized throughput in real application scenario fell below designed specification. Nevertheless there is a considerable
data throughput improvement on the counterpart 802.11n. There remain opportunities for further enhancements in beam-forming technology.
Learning-based Orchestrator for Intelligent Software-defined Networking Contr...ijseajournal
This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we
present this using Machine Learning in Software-Defined Networking technology. The first task consists of
extracting relevant information from the Data flow generated from a SDN and using them to learn, to
predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal
Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent
Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent
hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional
Neural Network model to separate the classes that we’re working on. The result was very promising the
model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to
researchers looking for the trade-offs between SDN performance and IA customization
MACHINE LEARNING FOR QOE PREDICTION AND ANOMALY DETECTION IN SELF-ORGANIZING ...ijwmn
Existing mobile networking systems lack the level of intelligence, scalability, and autonomous adaptability
required to optimally enable next-generation networks like 5G and beyond, which are expected to be Self -
Organizing Networks (SONs). It is anticipated that machine learning (ML) will be instrumental in designing
future “x”G SON networks with their demanding Quality of Experience (QoE) requirements. This paper
evaluates a methodology that uses supervised machine learning to predict the QoE level of the end user
experiences and uses this information to detect anomalous behavior of dysfunctional network nodes
(eNodeBs/base stations) in self-organizing mobile networks. An end-to-end network scenario is created using
the network simulator ns-3, where end users interact with a remote host that is accessed over the Internet to
run the most commonly used applications like file downloads and uploads and the resulting output is used as
a dataset to implement ML algorithms for QoE prediction and eNodeB (eNB) anomaly detection. Three ML
algorithms were implemented and compared to study their effectiveness and the scalability of the
methodology. In the test network, an accuracy score greater than 99% is achieved using the ML algorithms.
As suggested by the ns-3 simulation the use of ML for QoE prediction will help network operators understand
end-user needs and identify network elements that are failing and need attention and recovery.
Interference Revelation in Mobile Ad-hoc Networks and Confrontationirjes
In this paper, we utilize the Several interference revelation techniques proposed for mobile ad hoc
networks rely on each node passively monitoring the data forwarding by its next hop. This paper presents
quantitative evaluations of false positives and their impact on monitoring based interference revelation for ad
hoc networks. Experimental results show that, even for a simple three-node configuration, an actual ad-hoc
network suffers from high false positives; these results are validated by Markov and probabilistic models.
However, this false positive problem cannot be observed by simulating the same network using popular ad hoc
network simulators, such as ns-2, OPNET or Glomosim. To remedy this, a probabilistic noise generator model
is implemented in the Glomosim simulator. With this revised noise model, the simulated network exhibits the
aggregate false positive behavior similar to that of the experimental tested. Simulations of larger (50-node) ad
hoc networks indicate that monitoring-based interference revelation has very high false positives. These false
positives can reduce the network performance or increase the overhead. In a simple monitoring-based system
where no secondary and more accurate methods are used, the false positives impact the network performance in
two ways: reduced throughput in normal networks without attackers and inability to mitigate the effect of
attacks in networks with attackers.
Rapidly IPv6 multimedia management schemes based LTE-A wireless networksIJECEIAES
Ensuring the best quality of smart multimedia services becomes an essential goal for modern enterprises so there is always a need for effective IP mobility smart management schemes in order to fulfill the following two main functions: (I) interconnecting the moving terminals around the extended indoor smart services. In addition, (II) providing session continuity for instant data transfer in real-time and multimedia applications with negligible latency, efficient bandwidth utilization, and improved reliability. In this context, it found out that the Generalized Multi-Protocol Label Switching (GMPLS) over LTE-A network that offers many advanced services for large numbers of users with higher bandwidths, better spectrum efficiency, and lower latency. In GMPLS, there is an elimination of the routing searches and choice of routing protocols on every core LTE-A router also it provides the architecture simplicity and increases the scalability. A comparative assessment of three types of IPv6 mobility management schemes over the LTE-A provided by using various types of multimedia. By using OPNET Simulator 17.5, In accordance with these schemes, it was proven that the IPv6-GMPLS scheme is the best choice for the system's operation, in comparison to the IPv6-MPLS and Mobile IPv6 for all multimedia offerings and on the overall network performance.
My updated resume for (UMTS, WCDMA, LTE-Advanced 4G and 5G, SDN and NVF) wireless engineering.
Please feel free to contact me if you have any questions.
Efficient addressing schemes for internet of thingsIJECEIAES
The internet of things (IoT) defines the connectivity of physical devices to provide the machine to machine communication. This communication is achieved through various wireless standards for sensor node connectivity. The IoT calls from the formation of various wireless sensor nodes (WSNs) in a network. The existing neighborhood discovery method had the disadvantage of time complexity to calculate the cluster distance. Our proposed method rectifies this issue and gives accurate execution time. This paper proposed mobility management system based on proxy mobile IPv6 as distributed PMIPv6 with constrained application protocol (CoAP-DPMIP) and PMIPv6 with constrained application protocol (CoAP-PMIP). It also provides the optimized transmission path to reduce the delay handover in IoT network. The PMIPv6 described the IPv6 address of mobile sensor device for efficient mobility management. The network architecture explains three protocol layers of open systems interconnection model (OSI model). The OSI layers are data link layer, network layer and transport layer. We have proposed the distance estimation algorithm for efficient data frames transmission. This paper mainly focuses the secure data transmission with minimum loss of error. The evaluation result proved that proposed technique performance with delay, energy, throughput and packet delivery ratio (PDR). Also, it measures the computational time very effectively.
Optical network is an emerging technology for data communication
inworldwide. The information is transmitted from the source to destination
through the fiber optics. All optical network (AON) provides good
transmission transparency, good expandability, large bandwidth, lower bit
error rate (BER), and high processing speed. Link failure and node failure
haveconsistently occurred in the traditional methods. In order to overcome
the above mentioned issues, this paper proposes a robust software defined
switching enabled fault localization framework (SDSFLF) to monitor the
node and link failure in an AON. In this work, a novel faulty node
localization (FNL) algorithm is exploited to locate the faulty node. Then, the
software defined faulty link detection (SDFLD) algorithm that addresses the
problem of link failure. The failures are localized in multi traffic stream
(MTS) and multi agent system (MAS). Thus, the throughput is improved in
SDSFLF compared than other existing methods like traditional routing and
wavelength assignment (RWA), simulated annealing (SA) algorithm, attackaware RWA (A-RWA) convex, longest path first (LPF) ordering, and
biggest source-destination node degree (BND) ordering. The performance of
the proposed algorithm is evaluated in terms of network load, wavelength
utilization, packet loss rate, and burst loss rate. Hence, proposed SDSFLF
assures that high performance is achieved than other traditional techniques.
Here We are trying to Design performance Evaluation of a campus network based on routing protocols ( RIP, EIGRP, OSPF)
The campus is networking the essential part of every university. For this reason, authoriuty carry a lot of cost for this network. She tried to reduce the cost and created more safety and security.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
1. Yue Yang
Address: 9580 Capricorn Way, San Diego, CA, 92126, USA
Mobile: +1-206-673-6931 Email: yangyueuw@gmail.com
Summary
Currently working as Senior System Engineer in Qualcomm. Working on 5G / LTE upper layer protocols and system
design (3GPP RAN2).
PhD graduated from University of Washington: wireless communication, networking and Internet of Things (IoT)
Solid knowledge and 5+ years’ experience of wireless communication and networking, protocols Internet of Things
(IoT), with multiple patents in 5G and LTE.
Solid knowledge and practical experience in 5G, LTE, WiFi, TCP/IP, MAC protocols and system design.
Solid knowledge and practical experience with Machine Learning algorithm design in LTE and Internet of Things
(IoT).
Proficient in C, C++, MATLAB, Java, Python.
Proficient in Network Simulator (NS-3), Software-Defined Radio (SDR), Networking Logging (QXDM, APEX,
Wireshark).
Employment Experiences
2015.7--Present Senior System Engineer, Qualcomm Inc., QCT Department, San Diego, CA, USA
Studied and evaluated comprehensively LTE, WiFi, 5G upper protocols and system.
Contributed in and propose standard proposals for 3GPP Standardization work in 5G and LTE RAN2.
Designed 5G and LTE MAC/RLC/PDCP/RRC Layer (Layer-2/3) protocols and features in advanced
Modem of mobile phone and Internet of Things (IoT).
Designed Machine Learning algorithms and features in advanced Modem and made evaluations
through NS-3 simulations (C++ based platform).
2014.6--2014.12 Internship System Engineer in Qualcomm, QCT Department, San Diego, CA, USA
Evaluated comprehensively the multiple standards of LTE PHY/MAC/RLC/PDCP/RRC.
Designed the Flow Control Algorithm for Downlink LTE Transmission.
Studied comprehensively the NS-3 LTE and WiFi Module and implemented new NS-3 features into
the simulator to achieve new designed communication functions and algorithms.
2009.12--2010.2 Internship Assistant Engineer in Philips Innovation Campus China Shanghai, Solid State Lighting
2011.4—2011.6 Teaching Assistant Computer Network
2012.6—2012.12 Teaching Assistant Probability and Random Process
2014.12—2015.3 Teaching Assistant Computer Network I
2015.4—2015.6 Teaching Assistant Design in Communications
2011.9—2015.6 Research Assistant University of Washington Fundamentals of Networking Lab
Education Experiences
2011.9—2015.6 University of Washington, Seattle, WA
Degree: Doctor of Philosophy Major: Electrical Engineering
Expertise: Communications and Network on Internet of Things (IoT), WLAN, LTE
2. Graduate GPA: 3.86/4.0
2007.9—2011.8 Shanghai Jiao Tong University (SJTU), Shanghai, China
Degree: Bachelor of Science Major: Electrical and Computer Engineering
Undergraduate GPA: 3.76/4.0
Selected Course taken: Advanced Probability and Random Process, Digital Communications, Computer Networking, Wireless
Communications, Machine Learning, Programming with C/C++, Data Structure and Algorithm, Programming with Java, Digital
Signal Processing.
Skills
Computer Skills Programming: Proficient C/C++, Java, Linux, Python.
Mathematical Analysis: MATLAB, Mathematica.
Simulation Tools: Proficient NS-3, Simulink.
Publications
2016.12 Yue Yang and Sumit Roy
“Real-time Disaggregation of User Power Consumption using the Viterbi Algorithm,”
IEEE Transactions on Internet of Things (under review)
2016.12 Yue Yang and Sumit Roy
“Secure MAC Protocol for Periodic Smart Metering Data Communication with Compressive Sensing,”
2016 IEEE Global Communication Conference (GLOBECOM), Washington, DC, USA, Dec. 4-8, 2016.
2016.4 Yue Yang,
Chapter Title “MAC Protocol Design for Smart Meter Network”, in Book “Smart Metering Technology
and Services – Inspirations for Energy Utilities”, Print ISBN 978-953-51-2451-1, InTech Press, Croatia,
2016.
2015.12 Yanling Yin, Songzuo Liu, Gang Qiao, and Yue Yang,
“OFDM Demodulation Using Virtual Time Reversal Processing in Underwater Acoustic Communication,”
Journal of Computational Acoustics, vol. 23, no. 4, Dec. 2015.
2015.12 Yue Yang and Sumit Roy
“PCF Scheme for Periodic Data Transmission in Smart Metering Network with Cognitive Radio,”
2015 IEEE Global Communication Conference (GLOBECOM), San Diego, CA, USA, Dec. 6-10, 2015.
2015.10 Yue Yang, Yanling Yin, and Zixia Hu
“MAC Protocols Design for Smart Metering Network,”
Automation, Control and Intelligent Systems, vol. 3, no. 5, Oct. 2015.
2015.10 Yue Yang,
“Contributions to Smart Metering Protocol Design and Data Analytics,”
PhD Dissertation, University of Washington, ResearchWorks Archive, Oct. 2015.
2014.7 Yue Yang and Sumit Roy
“Grouping Based MAC Protocols for EV Charging Data Transmission in Smart Metering Network,”
IEEE Journal of Selected Area on Communications (JSAC), vol. 32, no. 7, July 2014.
2013.10 Yue Yang and Sumit Roy
“PMU Deployment for Three-Phase Optimal State Estimation Performance,”
2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), Vancouver,
Canada, Oct. 21-24, 2013.
2012.12 Yue Yang and Sumit Roy
3. “PMU Deployment for Optimal State Estimation Performance,”
2012 IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, USA, Dec. 3-7, 2012.
2012.11 Yue Yang, Xudong Wang, and Xiaodong Cai,
“On the Number of Relays for Orthogonalize-and-Forward Relaying,”
2011 IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing,
China, Nov. 9-11, 2011.
Patents
2015.7 -- Present Filed and proposed (under review) over 20 patents about 5G and LTE protocols and algorithms design.
Standard Proposals
2016.11 R2-167636, “36331_VoLTE_CDRX”, 3GPP Telecommunications Standard Development Organizations:
TSG-RAN WG2, Meeting #96bis, Reno, NV, USA, Nov. 14-18, 2016.
2016.11 R2-167635, “36321_VoLTE_CDRX”, 3GPP Telecommunications Standard Development Organizations:
TSG-RAN WG2, Meeting #96bis, Reno, NV, USA, Nov. 14-18, 2016.
2016.11 R2-168612, “Wake-Up Proposal”, 3GPP Telecommunications Standard Development Organizations: TSG-
RAN WG2, Meeting #96bis, Reno, NV, USA, Nov. 14-18, 2016.
2016.4 R2-162912, “Preferred DRX Cycle Reporting”, 3GPP Telecommunications Standard Development
Organizations: TSG-RAN WG2, Meeting #93bis, Dubrovnik, Croatia, Apr. 11-15, 2016.
2016.2 R2-161683, “Opportunistically using 60ms C-DRX Cycle for VoLTE”, 3GPP Telecommunications Standard
Development Organizations: TSG-RAN WG2, Meeting #93, St. Julian’s Malta, Feb. 15-19, 2016.
2015.7—Present Reviewed over 600 Standard Proposals and Change Requests (CR) in 3GPP Telecommunication Standard
Development Organizations.
Research Experiences
2013.2—2013.10 Grouping based MAC Protocols for Smart Metering Communication Network based on 802.11ah
Evaluated comprehensively the MAC protocols of Wi-Fi Standards, IEEE 802.11 a/e/g/ah, such as
DCF, PCF, EDCA, HCCA, and implemented them on Smart Metering Communication Network.
Evaluated comprehensively the Smart Metering Communication Standards, ANSI C12.18/19/21/22.
Proposed new grouping based MAC protocols, TDMA-DCF Scheme and Group Leader DCF-TDMA
Scheme, to solve the scalability issue and improve the performance for random data transportation in
Smart Metering Network.
Analyzed mathematically and simulated the throughput and delay performance of these two grouping
based MAC protocols to show the accurate results with MATLAB and NS-3.
2014.2—2014.4 PCF based MAC Protocols with Cognitive Radio for Smart Metering Network based on 802.11ah
Evaluated comprehensively the MAC protocols and channel sensing technologies in Cognitive Radio
Proposed new PCF based MAC protocols with Cognitive Radio technology to solve the scalability issue
and improve the performance of periodic data transportation in Smart Metering Network.
Analyzed mathematically and simulated the throughput and delay performance of this proposed MAC
protocols to show the accurate results with MATLAB and NS-3.
2013.9—2014.12 NS-3 Simulator Implementation of MAC Protocols for Wi-Fi, LTE and Smart Grid Communication
Network (~10k Line Code)
Specified the Smart Grid communication topology and identified the NS-3 Communication Node.
4. Implemented new NS-3 modules to simulate the traditional MAC protocols (Wi-Fi IEEE 802.11 g/e/ah
LTE PHY/MAC/RLC/PDCP Standard) and our proposed innovative MAC protocols mentioned above.
Designed all the operation functions involved in the MAC protocols with the Scheduler defined in NS-3
to monitor and trigger the events in the MAC protocols.
Evaluated the simulation performance of MAC protocols with our designed NS-3 modules and compare
them with the theoretical results.
2014.6—2015.4 MAC Protocol Design for Periodic Power Factor Measurement Report with Compressive Sensing
Evaluated comprehensively the MAC protocols of Wi-Fi Standards and classical Compressive Sensing
algorithms.
Designed a MAC protocol for periodic power factor measurement report with Compressive Sensing by
employing the sparsity feature of such data communication.
Analyzed mathematically and simulated the proposed protocol with NS-3 and MATLAB to compare the
performance with other MAC protocols, e.g. DCF and PCF.
2014.6—2015.3 Real-time Disaggregation of End-use Power Consumptions based on Markov Chain Model and Viterbi
Algorithm
Employed real data and Machine Learning algorithm to study the two dimensional correlations of
minute-resolution power consumptions of individual electrical appliance.
Designed a real-time disaggregation algorithm by using the studied correlations and associated Markov
Chain model and implement it with Viterbi Algorithm to determine the disaggregated power
consumption statuses with short delay.
Simulated the real-time disaggregation algorithm with C++ and evaluated performance with real data.
2014.4—2015.6 Implementation of Network Coding with GNU Radio/USRP2
Evaluated comprehensively the protocols of Network Coding and the manual of GNU Radio/USRP2.
Implemented the TDMA and CSMA with GNU Radio/USRP2 by both Simulink and Python.
Implemented the Network Coding with GNU Radio/USRP2 with Python and evaluated its
performance.
2011.11—2013.1 Phasor Measurement Unit (PMU) Deployment for Optimal State Estimation Performance
Evaluated comprehensively the PMU protocols, IEEE Std C37.118.1 & C37.118.2, and analyzed the
SynchroPhasor measurements precision and data communications.
Evaluated comprehensively the hybrid state estimation model with both SynchroPhasor measurements
and traditional SCADA-based estimations.
Proposed a new SynchroPhasor state estimation model that captures all network states (both
unobservable and observable buses) for both single-phase and three-phase power grid.
Employed the integer programming method and greedy algorithm to optimize the PMU deployment and
analyzed the optimal state estimation performance with MATLAB.
2011.9—2014.6 Smart Grid Communication R&D Program, DOE FOA-0000313
Networked Communication for Distributed Energy Resource Management System (DERMS)
Evaluated application of Networking Standards TCP/IP, MAC protocols and new PHY technology
(OFDM, MIMO, CDMA) to Smart Grid Communications.
Analyzed the quantitative performance, including throughput, delay and transmission efficiency, of the
proposed communication technologies and protocols for DERMS with MATLAB.
2011.9—2014.6 Orthogonalize-and-Forward (OF) Relaying Scheme
Proposed multiple OF based Relaying scheme, such as Two-Path OF Relaying, Cyclic OF Relaying,
Grouping OF Relaying, and OF Relaying with Pre-coding, to increase the spectral efficiency of the
relaying communications and decrease the number of relays required in the networking.
Derived the transmission rate and simulated the numerical results for the new proposed algorithm with
5. MATLAB, whose performance far exceeds the conventional OF Relaying scheme.
Membership
2011.9—Present IEEE Graduate Student Member / IEEE Member
2012.9—Present IEEE Young Professionals Member
2012.9—Present IEEE Communication Society Member
2014.9—Present IEEE Power & Energy Society Member
2014.9—Present IEEE Smart Grid Community Member
Honors and Awards
2010.12 Ranked No.1 and achieved Undergraduate Capstone Design Gold Prize
2007.9—2010.9 Academic Excellence Scholarship of SJTU (10%) and Dean List 3 academic years
2008.9—2009.9 Excellent Student Leader of SJTU (1%) Distinguished Leadership Award (2%)
Other Activities
2009.6—2010.6 President Youth Volunteers Association of SJTU (more than 200 members)
2009.6—2010.6 Volunteer Team Leader SJTU Volunteer of EXPO 2010 Shanghai China