Pantech offers b.tech and m.tech projects for engineering students.We support on MIMO concepts, OFDM, CR Networks, 4G and 5 G, NS3, IoT with NS3, VANET, MANET
This document lists over 50 project codes (PSNS 801-855) related to sensor networks, communication, and simulation. The projects cover various technologies including wireless sensor networks, mobile ad hoc networks, vehicular ad hoc networks, device-to-device communication, cognitive radio, and more. Each project addresses a different application or core technology area such as data collection, safety message sharing, energy saving, secure data aggregation, routing protocols, and more.
This document contains a list of 900+ project codes related to various embedded systems and IoT applications. The projects cover topics such as home automation, industrial monitoring, healthcare, smart cities, robotics, and more. Each project is categorized by its application domain and technology used.
This document contains contact information for Innovative Technology Services and a list of 33 titles related to research on mobile ad-hoc networks, wireless sensor networks, and vehicular ad-hoc networks. The titles are labeled with codes like ITS-NS13-01 through ITS-NS13-33 and focus on topics such as clustering, routing, security, energy efficiency, and localization in these types of networks. Innovative Technology Services can also be contacted for customized projects and more information on related domains.
This presentation takes a look at the technology roadmap for 5G NR millimeter wave (mmWave). Including features such as integrated access and backhaul (IAB), enhancements in beam management, mobility, coverage, and more. For more information, please visit www.qualcomm.com/mmwave
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
This document discusses how machine learning can be used in 5G technology. It first outlines the benefits of 5G networks and machine learning individually. It then explains two applications of machine learning for 5G - network slicing and routing optimization. For network slicing, it shows how neural networks and tree ensembles can be used for traffic prediction with over 98% accuracy. For routing optimization, it discusses using machine learning models to predict traffic loads and optimize network routing.
This document lists over 50 project codes (PSNS 801-855) related to sensor networks, communication, and simulation. The projects cover various technologies including wireless sensor networks, mobile ad hoc networks, vehicular ad hoc networks, device-to-device communication, cognitive radio, and more. Each project addresses a different application or core technology area such as data collection, safety message sharing, energy saving, secure data aggregation, routing protocols, and more.
This document contains a list of 900+ project codes related to various embedded systems and IoT applications. The projects cover topics such as home automation, industrial monitoring, healthcare, smart cities, robotics, and more. Each project is categorized by its application domain and technology used.
This document contains contact information for Innovative Technology Services and a list of 33 titles related to research on mobile ad-hoc networks, wireless sensor networks, and vehicular ad-hoc networks. The titles are labeled with codes like ITS-NS13-01 through ITS-NS13-33 and focus on topics such as clustering, routing, security, energy efficiency, and localization in these types of networks. Innovative Technology Services can also be contacted for customized projects and more information on related domains.
This presentation takes a look at the technology roadmap for 5G NR millimeter wave (mmWave). Including features such as integrated access and backhaul (IAB), enhancements in beam management, mobility, coverage, and more. For more information, please visit www.qualcomm.com/mmwave
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
This document discusses how machine learning can be used in 5G technology. It first outlines the benefits of 5G networks and machine learning individually. It then explains two applications of machine learning for 5G - network slicing and routing optimization. For network slicing, it shows how neural networks and tree ensembles can be used for traffic prediction with over 98% accuracy. For routing optimization, it discusses using machine learning models to predict traffic loads and optimize network routing.
PhD Projects in Telecommunication Research HelpPhD Services
The document discusses potential topics for PhD projects in telecommunications, including optical wireless communications, massive MIMO, ultra-wideband communication, and signal processing techniques. It also outlines specific research categories and ideas within telecommunications like secure data management for IoT, beamforming and antenna propagation, and machine learning algorithms for location services. The document provides contact information for a research assistance organization for students pursuing PhD and MS degrees.
The document lists 69 IEEE projects completed between 2010-2013 related to wireless networks and protocols such as MANET, WSN, WiFi, and WiMAX. The projects focus on routing protocols, clustering, intrusion detection, mobility, QoS, energy efficiency, and security. Ambitlick Solutions provides support and deliverables for implementing new IEEE projects, including papers, presentations, reports, working procedures, and certification.
This document lists 80 potential IEEE project titles from 2014-2015 across various domains including mobile computing, parallel and distributed systems, industrial informatics, vehicular technology, networking, wireless sensor networks, cognitive radio networks, secure computing, advance computing, intelligence computing/network security, and wireless/information networking/communication systems. The projects focus on routing protocols, security, intrusion detection, clustering, coverage, localization, and other issues in wireless networks and sensor networks. Contact information is provided for the organization providing the project titles.
Entendre els fonaments de la tecnologia i conèixer com ens impactarà el seu desplegament. Vam descobrir les diferents aplicacions que tindrà el 5G en el nostre dia a dia i el valor que aportarà
This document summarizes various data aggregation techniques for wireless sensor networks. It discusses how data aggregation can help reduce transmission overhead and improve security by allowing computation on encrypted data through privacy homomorphism. Several data aggregation schemes are described, including concealed data aggregation (CDA) schemes based on privacy homomorphism that allow aggregation of encrypted data without decrypting it first. The document also reviews recoverable concealed data aggregation (RCDA) schemes, a concealed data aggregation scheme for multiple applications (CDAMA), and public key cryptosystems that can enable data aggregation functions to be performed on encrypted data in wireless sensor networks.
Ericsson Technology Review: Optimizing UICC modules for IoT applicationsEricsson
Commonly referred to as SIM cards, the universal integrated circuit cards (UICCs) used in all cellular devices today are in fact complex and powerful minicomputers capable of much more than most Internet of Things (IoT) applications require. Until a simpler and less costly alternative becomes available, action must be taken to ensure that the relatively high price of UICC modules does not hamper IoT growth.
This Ericsson Technology Review article presents two mid-term approaches. The first is to make use of techniques that reduce the complexity of using UICCs in IoT applications, while the second is to use the UICCs’ excess capacity for additional value generation. Those who wish to exploit the potential of the UICCs to better support IoT applications have the opportunity to use them as cryptographic storage, to run higher-layer protocol stacks and/or as supervisory entities, for example.
Pantech offers projects in Communication, networks and antenna Design. The antenna concepts can be designed on simulation and can convert to hardware design. More concepts,www.pantechproed.com
This document discusses 5G networks and the key technologies needed to realize them. It covers the evolution of cellular networks from 1G to 4G, highlighting the increased data capabilities and standards introduced at each generation. The document then discusses some of the main technologies expected to enable 5G networks, such as heterogeneous networks, device-to-device communication, LTE-Unlicensed, non-orthogonal multiple access, and wireless network virtualization. It also outlines the main deliverables and challenges of building 5G networks.
SCALABILITY CONCERNS OF CHIRP SPREAD SPECTRUM FOR LPWAN APPLICATIONSijasuc
Divergent modulation schemes have been proposed for the Internet of Things (IoT). Low Power Wide Area
Networks (LPWAN) technologies are gaining unprecedented acceptance in IoT application of sensor
networks. Chirp Spread Spectrum (CSS) is a prominent modulation technique proposed for LPWAN. Chirps
can traverse long distance and are resilient to noise and Doppler effects. Noise resilience along with
transmission range and low power requirement makes CSS a preferred modulation scheme for sensor
networks. LoRaWANTM, with its physical (PHY) layer using CSS, has emerged as the widely accepted
LPWAN solution. By using CSS modulation with orthogonal spreading factors (SF), LoRa offers wide
coverage to LPWAN applications while supporting a high volume of devices. However, scalability
performance of CSS has not been inadequately modeled. As with the suitability of the modulation scheme,
there are concerns on how chirps interact with the surrounding as the number of deployments bursts out
into higher volumes. We evaluate CSS at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125
kHz for performance and scalability. Simultaneous transmissions were simulated with repeated iterations
and conclusions are arrived on collisions rate, packet error rate, and bit error. Suitability of using CSS for
sensor networks for future deployments is commended.
Ericsson Technology Review: Creating the next-generation edge-cloud ecosystemEricsson
The surge in data volume that will come from the massive number of devices enabled by 5G has made edge computing more important than ever before. Beyond its abilities to reduce network traffic and improve user experience, edge computing will also play a critical role in enabling use cases for ultra-reliable low-latency communication in industrial manufacturing and a variety of other sectors.
This Ericsson Technology Review article explores the topic of how to deliver distributed edge computing solutions that can host different kinds of platforms and applications and provide a high level of flexibility for application developers. Rather than building a new application ecosystem and platform, we strongly recommend reusing industrialized and proven capabilities, utilizing the momentum created with Cloud Native Computing Foundation, and ensuring backward compatibility.
5G AI the Ingredients for Next Gen Wireless InnovationTakayuki Yamazaki
5G and AI will work together to distribute processing between devices, edge clouds, and central clouds to enable new applications and experiences with low latency and privacy while improving network performance. On-device AI processing augmented by edge and cloud computing allows data to stay local for privacy and personalization while scaling intelligence through distributed learning over 5G networks. Research is needed to optimize distributed learning over wireless to efficiently combine updates from many devices while ensuring privacy and tailoring models through personalization.
This document contains a list of 100 topics related to VLSI design. Each topic is assigned a unique reference code starting with PSVLSI and followed by a 3-digit number. The topics cover various fields of VLSI design including communication systems, architectural designs, protocol designs, low power designs, digital image processing, cryptography algorithms, real-time/embedded applications, softcore processor design, and security algorithms. The document also lists the email address and websites for the organization providing the VLSI design courses.
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
This document lists 6 potential paper titles related to wireless sensor networks and mobile ad hoc networks. The titles focus on distributed consensus algorithms, localization problems, cooperative relay selection, mitigating routing attacks, delay-optimal broadcasting, and vertical handoff schemes.
This document appears to be a listing of topics related to network simulation and various wireless networking fields. It contains 54 entries of topic names along with the relevant simulation fields. The topics cover various areas including routing protocols for mobile ad hoc networks, wireless sensor networks, vehicular ad hoc networks, and cognitive radio networks. The document also mentions relevant standards like IEEE 802.15.4 and technologies such as 3G, 4G, and WiMAX.
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This document provides a summary of topics related to network simulation using NS2. It lists 60 topics ranging from performance evaluations of routing protocols in VANET scenarios to secure data aggregation in wireless sensor networks. The topics cover various fields including network security, wireless ad hoc networks, cognitive radio networks, vehicular networks, and wireless sensor networks. Evaluation tools mentioned include NS3 and classifications include AES, DSA, IEEE802.11 DCF, and more.
2014 IEEE Network Simulations(NS-2&NS-3) based Network Communication ProjectsChinnasamy C
Hi,
Pantech ProEd Pvt Ltd, Provides Projects guidance for ME, M.Tech, Msc &MCA and all Electrical science Students......
Related to : final year project, Live project, Real time projects, Sensor Networks, Ad Hoc Network, Radio Networks, CRN, Multi Hop Network, etc....
Network Simulator – 2(NS2&NS3):
MANET Security
VANET Security
Wimax Security
Wireless Mesh network
Wireless Sensor Network
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Cognitive wireless network
Wi-Fi based projects
cognitive radio project
Mobile network project
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NS2 ieee 2017 project titles | Final Year IEEE 2018 Network Simulator ProjectsJAYAPRAKASH JPINFOTECH
NS2 ieee 2017 project titles | Final Year IEEE 2018 Network Simulator Projects
To get this project in ONLINE or through TRAINING Sessions, Contact:
JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690,
Email: jpinfotechprojects@gmail.com,
web: http://www.jpinfotech.org
2017 ieee ns2 project titles | Latest Final Year ieee network Simulator Proje...JPINFOTECH JAYAPRAKASH
2017 ieee ns2 project titles | Latest Final Year ieee network Simulator Project Titles 2018, NS2 Projects in chennai, Ns2 Projects in Pondicherry, Bulk IEEE Projects
To get this project in ONLINE or through TRAINING Sessions, Contact:
JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690,
Email: jpinfotechprojects@gmail.com,
web: http://www.jpinfotech.org
PhD Projects in Telecommunication Research HelpPhD Services
The document discusses potential topics for PhD projects in telecommunications, including optical wireless communications, massive MIMO, ultra-wideband communication, and signal processing techniques. It also outlines specific research categories and ideas within telecommunications like secure data management for IoT, beamforming and antenna propagation, and machine learning algorithms for location services. The document provides contact information for a research assistance organization for students pursuing PhD and MS degrees.
The document lists 69 IEEE projects completed between 2010-2013 related to wireless networks and protocols such as MANET, WSN, WiFi, and WiMAX. The projects focus on routing protocols, clustering, intrusion detection, mobility, QoS, energy efficiency, and security. Ambitlick Solutions provides support and deliverables for implementing new IEEE projects, including papers, presentations, reports, working procedures, and certification.
This document lists 80 potential IEEE project titles from 2014-2015 across various domains including mobile computing, parallel and distributed systems, industrial informatics, vehicular technology, networking, wireless sensor networks, cognitive radio networks, secure computing, advance computing, intelligence computing/network security, and wireless/information networking/communication systems. The projects focus on routing protocols, security, intrusion detection, clustering, coverage, localization, and other issues in wireless networks and sensor networks. Contact information is provided for the organization providing the project titles.
Entendre els fonaments de la tecnologia i conèixer com ens impactarà el seu desplegament. Vam descobrir les diferents aplicacions que tindrà el 5G en el nostre dia a dia i el valor que aportarà
This document summarizes various data aggregation techniques for wireless sensor networks. It discusses how data aggregation can help reduce transmission overhead and improve security by allowing computation on encrypted data through privacy homomorphism. Several data aggregation schemes are described, including concealed data aggregation (CDA) schemes based on privacy homomorphism that allow aggregation of encrypted data without decrypting it first. The document also reviews recoverable concealed data aggregation (RCDA) schemes, a concealed data aggregation scheme for multiple applications (CDAMA), and public key cryptosystems that can enable data aggregation functions to be performed on encrypted data in wireless sensor networks.
Ericsson Technology Review: Optimizing UICC modules for IoT applicationsEricsson
Commonly referred to as SIM cards, the universal integrated circuit cards (UICCs) used in all cellular devices today are in fact complex and powerful minicomputers capable of much more than most Internet of Things (IoT) applications require. Until a simpler and less costly alternative becomes available, action must be taken to ensure that the relatively high price of UICC modules does not hamper IoT growth.
This Ericsson Technology Review article presents two mid-term approaches. The first is to make use of techniques that reduce the complexity of using UICCs in IoT applications, while the second is to use the UICCs’ excess capacity for additional value generation. Those who wish to exploit the potential of the UICCs to better support IoT applications have the opportunity to use them as cryptographic storage, to run higher-layer protocol stacks and/or as supervisory entities, for example.
Pantech offers projects in Communication, networks and antenna Design. The antenna concepts can be designed on simulation and can convert to hardware design. More concepts,www.pantechproed.com
This document discusses 5G networks and the key technologies needed to realize them. It covers the evolution of cellular networks from 1G to 4G, highlighting the increased data capabilities and standards introduced at each generation. The document then discusses some of the main technologies expected to enable 5G networks, such as heterogeneous networks, device-to-device communication, LTE-Unlicensed, non-orthogonal multiple access, and wireless network virtualization. It also outlines the main deliverables and challenges of building 5G networks.
SCALABILITY CONCERNS OF CHIRP SPREAD SPECTRUM FOR LPWAN APPLICATIONSijasuc
Divergent modulation schemes have been proposed for the Internet of Things (IoT). Low Power Wide Area
Networks (LPWAN) technologies are gaining unprecedented acceptance in IoT application of sensor
networks. Chirp Spread Spectrum (CSS) is a prominent modulation technique proposed for LPWAN. Chirps
can traverse long distance and are resilient to noise and Doppler effects. Noise resilience along with
transmission range and low power requirement makes CSS a preferred modulation scheme for sensor
networks. LoRaWANTM, with its physical (PHY) layer using CSS, has emerged as the widely accepted
LPWAN solution. By using CSS modulation with orthogonal spreading factors (SF), LoRa offers wide
coverage to LPWAN applications while supporting a high volume of devices. However, scalability
performance of CSS has not been inadequately modeled. As with the suitability of the modulation scheme,
there are concerns on how chirps interact with the surrounding as the number of deployments bursts out
into higher volumes. We evaluate CSS at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125
kHz for performance and scalability. Simultaneous transmissions were simulated with repeated iterations
and conclusions are arrived on collisions rate, packet error rate, and bit error. Suitability of using CSS for
sensor networks for future deployments is commended.
Ericsson Technology Review: Creating the next-generation edge-cloud ecosystemEricsson
The surge in data volume that will come from the massive number of devices enabled by 5G has made edge computing more important than ever before. Beyond its abilities to reduce network traffic and improve user experience, edge computing will also play a critical role in enabling use cases for ultra-reliable low-latency communication in industrial manufacturing and a variety of other sectors.
This Ericsson Technology Review article explores the topic of how to deliver distributed edge computing solutions that can host different kinds of platforms and applications and provide a high level of flexibility for application developers. Rather than building a new application ecosystem and platform, we strongly recommend reusing industrialized and proven capabilities, utilizing the momentum created with Cloud Native Computing Foundation, and ensuring backward compatibility.
5G AI the Ingredients for Next Gen Wireless InnovationTakayuki Yamazaki
5G and AI will work together to distribute processing between devices, edge clouds, and central clouds to enable new applications and experiences with low latency and privacy while improving network performance. On-device AI processing augmented by edge and cloud computing allows data to stay local for privacy and personalization while scaling intelligence through distributed learning over 5G networks. Research is needed to optimize distributed learning over wireless to efficiently combine updates from many devices while ensuring privacy and tailoring models through personalization.
This document contains a list of 100 topics related to VLSI design. Each topic is assigned a unique reference code starting with PSVLSI and followed by a 3-digit number. The topics cover various fields of VLSI design including communication systems, architectural designs, protocol designs, low power designs, digital image processing, cryptography algorithms, real-time/embedded applications, softcore processor design, and security algorithms. The document also lists the email address and websites for the organization providing the VLSI design courses.
We at Pantech ProEd provide assistance in academic projects based on IEEE standard journals and transactions. Our services cater to all the domains belonging to Circuit branches and Information and Communication engineering branches.
Our methodology of execution and delivery is state - of -art, in essence a professionally designed, intensively tested, work flow model is applied.
Our Project support services caters to the following courses,
1) B.E / B.Tech (EEE/ECE/CSE/IT)
2) M.E (Power Systems)
3) M.E (Power Electronics & Drives)
4) M.E (High Voltage Engineering)
5) M.E (Electrical Drives & Embedded Control)
6) M.E (Control & Instrumentation Engineering)
7) M.E (Embedded System Technologies)
8) M.E (Applied Electronics)
9) M.E (Communication Systems)
10) M.E (VLSI Design)
11) M.E (Medical Electronics)
12) M.E (CSE)
13) M.E (Software Engineering)
14) M.E (Multimedia Technology)
15) M.Tech (Information Technology)
16) M.C.A
17) M.E (Systems Engineering and Operations Research)
18) M.E (Communication and Networking)
19) M.E (Avionics)
20) M.E. (Mobile Pervasive and Computing)
21) M.E. (Network Engineering)
22) M.E (Computer & Communication)
This document lists 6 potential paper titles related to wireless sensor networks and mobile ad hoc networks. The titles focus on distributed consensus algorithms, localization problems, cooperative relay selection, mitigating routing attacks, delay-optimal broadcasting, and vertical handoff schemes.
This document appears to be a listing of topics related to network simulation and various wireless networking fields. It contains 54 entries of topic names along with the relevant simulation fields. The topics cover various areas including routing protocols for mobile ad hoc networks, wireless sensor networks, vehicular ad hoc networks, and cognitive radio networks. The document also mentions relevant standards like IEEE 802.15.4 and technologies such as 3G, 4G, and WiMAX.
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This document provides a summary of topics related to network simulation using NS2. It lists 60 topics ranging from performance evaluations of routing protocols in VANET scenarios to secure data aggregation in wireless sensor networks. The topics cover various fields including network security, wireless ad hoc networks, cognitive radio networks, vehicular networks, and wireless sensor networks. Evaluation tools mentioned include NS3 and classifications include AES, DSA, IEEE802.11 DCF, and more.
2014 IEEE Network Simulations(NS-2&NS-3) based Network Communication ProjectsChinnasamy C
Hi,
Pantech ProEd Pvt Ltd, Provides Projects guidance for ME, M.Tech, Msc &MCA and all Electrical science Students......
Related to : final year project, Live project, Real time projects, Sensor Networks, Ad Hoc Network, Radio Networks, CRN, Multi Hop Network, etc....
Network Simulator – 2(NS2&NS3):
MANET Security
VANET Security
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Wireless Mesh network
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NS2 ieee 2017 project titles | Final Year IEEE 2018 Network Simulator ProjectsJAYAPRAKASH JPINFOTECH
NS2 ieee 2017 project titles | Final Year IEEE 2018 Network Simulator Projects
To get this project in ONLINE or through TRAINING Sessions, Contact:
JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690,
Email: jpinfotechprojects@gmail.com,
web: http://www.jpinfotech.org
2017 ieee ns2 project titles | Latest Final Year ieee network Simulator Proje...JPINFOTECH JAYAPRAKASH
2017 ieee ns2 project titles | Latest Final Year ieee network Simulator Project Titles 2018, NS2 Projects in chennai, Ns2 Projects in Pondicherry, Bulk IEEE Projects
To get this project in ONLINE or through TRAINING Sessions, Contact:
JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690,
Email: jpinfotechprojects@gmail.com,
web: http://www.jpinfotech.org
The document lists 22 network security, software defined networking, and wireless network projects developed by Xtream Technologies between 2015-2016. The projects focused on topics like delay optimization, power control, statistical dissemination, dynamic openflow switching, cognitive radio coexistence, distributed denial of service attacks, privacy protection, authentication, trust, security, topology control, resource management, routing, and IP traceback in various network domains including NS2, wireless sensor networks, mobile ad hoc networks, cloud computing and data centers.
Pantech guides projects for final year B.E / B.Tech and M.E,M.Tech students. We provide all network and communication technologies like OFDM, MIMO, 3G,4G and CR Networks. more details, www.pantechproed.com
Pantech support projects on LTE - A, OFDM, MIMO
CR Networks, OFC, Cooperative Networks ,Antenna Design
Network Simulator ,VANET | MANET, 4G | 5G. Antenna design concepts can be implemented both on simulation and hardware.
This document lists over 50 project codes (PSNS 801-855) related to sensor networks, communication, and simulation. The projects cover various technologies including wireless sensor networks, mobile ad hoc networks, vehicular ad hoc networks, device-to-device communication, cognitive radio, and more. Each project addresses a different application or core technology area such as data collection, safety message sharing, energy saving, secure data aggregation, routing protocols, and more.
This document lists 28 academic projects related to networking topics like routing protocols, security issues, Internet of Things, wireless sensor networks, and mobile ad hoc networks. The projects provide descriptions of analyzing attacks on routing protocols, intrusion detection systems, black hole attacks, topology control, energy efficiency, clustering, spectrum assignment, emergency response systems, and more. The document aims to help students in BE, ME, MCA, BCA and PHD programs find project ideas and topics within these technical domains.
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Ieee 2020 21 ns2 in pondicherry,best project center in pondicherry,final year...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: mailtonexgentech@gmail.com.
www.nexgenproject.com
Mobile: 9791938249,9025656779
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
This document lists 30 project captions from IEEE 2015-2016 related to wireless networks and mobile ad hoc networks. The projects focus on topics like energy efficient routing protocols, secure data discovery and dissemination, context-aware trust frameworks, cooperative load balancing, and defending against collaborative attacks in mobile ad hoc networks. It provides contact information for the project list.
Pantech Power electronics projects 2017 18Senthil Kumar
This document provides a list of 974 power electronics projects covering topics like inverters, converters, motor control, DSP, FPGA, closed loop control concepts, and multilevel converters. The projects utilize technologies like the TMS320F2812 and dsPIC for control and were conducted between 2017-2018 addressing applications in renewable energy, electric vehicles, industrial drives, and wireless power.
Pantech offers b.tech and m.tech projects for engineering students.We support on IoT, big data, cloud computing, data mining, machine learning, embedded applications, network security, image processing projects.
Pantech offers b.tech and m.tech projects for engineering students.We support on IoT, Raspberry pi projects and open cv Image processing, Virtual reality, gesture recognition, segmentation, compression, image enhancement, image retrieval, image fusion, TMS320C5505
Pantech offers b.tech and m.tech projects for engineering students.We support on IoT, Raspberry pi projects, Arduino, ARM controller, Image processing, Virtual reality and Automation projects. ARM cortex projects
Pantech offers b.tech and m.tech projects for engineering and MCA students.We support on cloud computing, networking, web application, network security, application projects
Pantech power electronics & drives [simulink,hardware-open & closed ...Senthil Kumar
This document lists over 850 power electronics and drives projects covering topics such as motor drives, power converters, renewable energy applications, machine design, control systems, and power quality. The projects involve modeling, simulation, analysis and hardware implementation related to technologies like inverters, converters, electric vehicles, renewable energy, and motor control.
Pantech provide supports on antenna design projects for final year students.. We guide you to implement both on simulation and hardware design.www.pantech proed.com
Pantech modern power system projects [simulink & m-file] 2016-17Senthil Kumar
This document lists over 850 project codes related to modern power systems. The projects cover a wide range of topics including flexible AC transmission systems (FACTS), renewable energy, power quality, distributed generation, microgrids, and MATLAB interfacing. Many of the projects involve modeling, simulation, and control of power electronic devices, power converters, and power system components using Simulink and M-files.
Pantech embedded systems and IoT projects 2016-17Senthil Kumar
Pantech support projects on Internet of Things (IoT), Raspberry Pi, Arduino, PSoC Projects, ARM Cortex processor, Python projects, Open CV, SPI, I2C, POE, Lifi, Ethernet projects. RTOS Concepts, Kinect and gesture applications. www.pantechproed.com
Pantech communication and NS2 projects 2016-17Senthil Kumar
Pantech offers projects on Communication systems and Networks. We can implement projects on CR network, MIMO, OFDM, 4G/3G and all other communication tehnics.www.pantechproed.com
Pantech vlsi [xilinx ise & spartan fpga] 2016-17Senthil Kumar
Pantech offers projects in VLSI design using VHDL and FPGA Processor Implementation. We offers on Xilinx tools, Spartan3, Spartan6, Low power Design and Architecture design.
Pantech modern power system projects [simulink & m-file] 2016-17Senthil Kumar
Pantech provides power electronics projects using matlab and hardware design. We can support on all type of inverter, converter, Renewable sources both in simulation and hardware.We can support on PIC Controllers, dSPIC Controllers, DSP Processor and FPGA Processor. www.pantechproed.com
Pantech embedded system project 2016-17Senthil Kumar
Pantech supports projects on latest technologies, Internet of Things, Open CV, gesture recognition, Robotics, Raspberry Pi projects, Arduino Projects, Cortex and ARM Projects. for More proejcts, www.pantechproed.com.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.