ใบความรู้ที่ 9 เรื่อง ระบบเครือข่ายคอมพิวเตอร์
•Download as DOCX, PDF•
1 like•1,865 views
1. The document discusses different types of computer networks including local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs) and how they connect over various media like dial-up, leased lines, and ISDN. 2. It also covers common LAN topologies like bus, ring, star, tree and hybrid networks. Peer-to-peer and client-server models are described as well as wireless LAN components like access points. 3. Examples provided include Windows for Workgroups, Novell Netware, IBM Token Ring, and how hubs, switches, and repeaters are used in star networks to connect nodes over UTP or fiber optic cab
Report
Share
Report
Share
Recommended
Space time coding in mimo
Space time coding is used in MIMO wireless systems to improve communication performance by exploiting spatial diversity. It uses multiple transmit and receive antennas. The Alamouti code is a simple and effective space time block code that achieves full transmit diversity without requiring channel state information at the transmitter. It transmits symbols from two transmit antennas in two time slots so that the receiver can recover the symbols with low complexity decoding. MIMO combined with space time coding can provide high data rates, minimize errors, and increase capacity for wireless applications such as 4G networks.
Optical Spatial Modulation with Transmitter-Receiver Alignments
This paper proposes an optical spatial modulation (OSM) technique to enhance the data rate of indoor optical wireless communication systems. OSM works by activating only one out of multiple light emitting diodes at each time instant to transmit data. The paper shows that properly aligning the positions and orientations of the transmit and receive units can significantly improve the performance of OSM by decorrelating the optical MIMO channel. Through alignment, the paper achieves a 14 dB gain in signal-to-noise ratio required for a bit-error rate of 10^-3 compared to misaligned setups. The paper also compares the power and bandwidth efficiency of OSM to on-off keying, pulse position modulation, and pulse amplitude modulation.
Parallel Interference Cancellation in beyond 3G multi-user and multi-antenna ...
Parallel Interference Cancellation in beyond 3G multi-user and multi-antenna ...David Sabater Dinter
In the present thesis, the concept for beyond 3G mobile radio systems is described. A service area concept is introduced in order to combat the performance limiting interferences present in the cellular mobile communication systems, with each service area consisting of a various simultaneously active mobile terminals, a number of fixed access points and a central unit per- forming signal processing. About uplink transmission, the main characteristic of this service area system is that with the aid of joint detection of the transmit signals from the mobile ter- minals performed at uplink transmission, all interferences between the simultaneously active mobile terminals using the same bandwidth is drastically reduced. Moreover the use of OFDM subcarrierwise in the described service area based system allows for intersymbol interference free communication and for simple equalization in the frequency domain.
Through this subcarrierwise equalization the service area based system is equivalent with a number of smaller parallel systems, a fact that affects in a reduced computational complexity in the case of optimum multiuser operating with the maximum likehood principle and subop- timum linear detector zero-forcing. In this thesis the parallel interference cancellation detector is introduced, according to which the multi access interference is iteratively reconstructed and subtracted from the received signal. Parallel interference cancellation detector is compared in terms of performance with suboptimum linear detector, due to the reduced computational com- plexity.
Using standardized COST 207 channel models, the performance of parallel interference can- cellation detector compared with suboptimum linear detector has been investigated for a frozen channel, with the same snapshot using the same parameters of the channel, as well as for a number of system loads. A fact that can be observed in simulations results is that parallel in- terference cancellation detectors could achieve the same performance with a reduction of the complexity as suboptimum linear detector zero-forcing in the case of no estimate refinement and with estimate refinement by hard quantization depending on the load system. With esti- mate refinement by soft quantization the performance of the parallel interference cancellation detector is improved, having better performance than zero-forcing detector in cases with nor- mal load. Moreover with the improvement raised in this thesis, in this normal system load, the performance is more improved. On the other hand in the case of full load system, the PIC detector can not substract all the multi access interference producing error flow, this thing is not too important taking in account that the fully loaded system case should not be never present.Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Principle of orthogonal frequency-division multiplexing (OFDM)
Optical transmitter for CO-OFDM
Optical spectral efficiency for CO-OFDM
Channel model for CO-OFDM
The channel model describes the behavior of communications systems, thus fundamentally determining the performance of the systems
MIMO OFDM Thesis Projects
NOTABLE RESEARCH FIELDS IN MIMO
SUBSTANTIAL NOTES ON MIMO SYSTEMS
MOST RELEVANT NOTIONS IN MIMO THESIS
MIMO in 15 minutes
This document provides an overview of MIMO (Multiple Input Multiple Output) technology and its use in 802.11n wireless networks. MIMO works by using multiple antennas at both the transmitter and receiver to improve communication in three ways: by providing signal diversity to increase range and resilience, by enabling spatial multiplexing to increase data rates, and by allowing beamforming to focus signals in certain directions. The 802.11n standard will incorporate MIMO to achieve data rates up to 600Mbps using techniques like multi-path mitigation, modulation schemes, channel coding, and frame formatting adapted for MIMO transmissions. MIMO thus allows 802.11n to continue advancing wireless LAN speeds and performance.
Spatial techniques in WiFi 802.11ac
This document discusses various MIMO techniques including single-user and multi-user MIMO. It begins with an overview of STBC, which is used in 802.11ac and provides transmit diversity with low cost. Spatial multiplexing allows multiple parallel channels to improve throughput. For single-user MIMO, transmit beamforming enhances signal reception through precoding techniques like SVD that establish parallel channels. Multi-user MIMO further increases capacity but introduces interference that must be managed through precoding and receiver techniques like zero-forcing. Channel feedback is also required to implement beamforming and precoding.
Nutaq's TitanMIMO Massive MIMO Testbeds
TitanMIMO is the only testbed capable of enabling true 5G Massive MIMO research without compromise.
- Remote or local radio head location
- Validate various waveform propagation schemes
- Optimize network deployment by balancing cost VS performance
- Validate interoperability scenarios
- HetNet, MU-MIMO, and CRAN testbed ready
- Validate, optimize & develop analytic channel models
- Optimize TDD and RF calibration techniques
- Full TDD & FDD support
Recommended
Space time coding in mimo
Space time coding is used in MIMO wireless systems to improve communication performance by exploiting spatial diversity. It uses multiple transmit and receive antennas. The Alamouti code is a simple and effective space time block code that achieves full transmit diversity without requiring channel state information at the transmitter. It transmits symbols from two transmit antennas in two time slots so that the receiver can recover the symbols with low complexity decoding. MIMO combined with space time coding can provide high data rates, minimize errors, and increase capacity for wireless applications such as 4G networks.
Optical Spatial Modulation with Transmitter-Receiver Alignments
This paper proposes an optical spatial modulation (OSM) technique to enhance the data rate of indoor optical wireless communication systems. OSM works by activating only one out of multiple light emitting diodes at each time instant to transmit data. The paper shows that properly aligning the positions and orientations of the transmit and receive units can significantly improve the performance of OSM by decorrelating the optical MIMO channel. Through alignment, the paper achieves a 14 dB gain in signal-to-noise ratio required for a bit-error rate of 10^-3 compared to misaligned setups. The paper also compares the power and bandwidth efficiency of OSM to on-off keying, pulse position modulation, and pulse amplitude modulation.
Parallel Interference Cancellation in beyond 3G multi-user and multi-antenna ...
Parallel Interference Cancellation in beyond 3G multi-user and multi-antenna ...David Sabater Dinter
In the present thesis, the concept for beyond 3G mobile radio systems is described. A service area concept is introduced in order to combat the performance limiting interferences present in the cellular mobile communication systems, with each service area consisting of a various simultaneously active mobile terminals, a number of fixed access points and a central unit per- forming signal processing. About uplink transmission, the main characteristic of this service area system is that with the aid of joint detection of the transmit signals from the mobile ter- minals performed at uplink transmission, all interferences between the simultaneously active mobile terminals using the same bandwidth is drastically reduced. Moreover the use of OFDM subcarrierwise in the described service area based system allows for intersymbol interference free communication and for simple equalization in the frequency domain.
Through this subcarrierwise equalization the service area based system is equivalent with a number of smaller parallel systems, a fact that affects in a reduced computational complexity in the case of optimum multiuser operating with the maximum likehood principle and subop- timum linear detector zero-forcing. In this thesis the parallel interference cancellation detector is introduced, according to which the multi access interference is iteratively reconstructed and subtracted from the received signal. Parallel interference cancellation detector is compared in terms of performance with suboptimum linear detector, due to the reduced computational com- plexity.
Using standardized COST 207 channel models, the performance of parallel interference can- cellation detector compared with suboptimum linear detector has been investigated for a frozen channel, with the same snapshot using the same parameters of the channel, as well as for a number of system loads. A fact that can be observed in simulations results is that parallel in- terference cancellation detectors could achieve the same performance with a reduction of the complexity as suboptimum linear detector zero-forcing in the case of no estimate refinement and with estimate refinement by hard quantization depending on the load system. With esti- mate refinement by soft quantization the performance of the parallel interference cancellation detector is improved, having better performance than zero-forcing detector in cases with nor- mal load. Moreover with the improvement raised in this thesis, in this normal system load, the performance is more improved. On the other hand in the case of full load system, the PIC detector can not substract all the multi access interference producing error flow, this thing is not too important taking in account that the fully loaded system case should not be never present.Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Principle of orthogonal frequency-division multiplexing (OFDM)
Optical transmitter for CO-OFDM
Optical spectral efficiency for CO-OFDM
Channel model for CO-OFDM
The channel model describes the behavior of communications systems, thus fundamentally determining the performance of the systems
MIMO OFDM Thesis Projects
NOTABLE RESEARCH FIELDS IN MIMO
SUBSTANTIAL NOTES ON MIMO SYSTEMS
MOST RELEVANT NOTIONS IN MIMO THESIS
MIMO in 15 minutes
This document provides an overview of MIMO (Multiple Input Multiple Output) technology and its use in 802.11n wireless networks. MIMO works by using multiple antennas at both the transmitter and receiver to improve communication in three ways: by providing signal diversity to increase range and resilience, by enabling spatial multiplexing to increase data rates, and by allowing beamforming to focus signals in certain directions. The 802.11n standard will incorporate MIMO to achieve data rates up to 600Mbps using techniques like multi-path mitigation, modulation schemes, channel coding, and frame formatting adapted for MIMO transmissions. MIMO thus allows 802.11n to continue advancing wireless LAN speeds and performance.
Spatial techniques in WiFi 802.11ac
This document discusses various MIMO techniques including single-user and multi-user MIMO. It begins with an overview of STBC, which is used in 802.11ac and provides transmit diversity with low cost. Spatial multiplexing allows multiple parallel channels to improve throughput. For single-user MIMO, transmit beamforming enhances signal reception through precoding techniques like SVD that establish parallel channels. Multi-user MIMO further increases capacity but introduces interference that must be managed through precoding and receiver techniques like zero-forcing. Channel feedback is also required to implement beamforming and precoding.
Nutaq's TitanMIMO Massive MIMO Testbeds
TitanMIMO is the only testbed capable of enabling true 5G Massive MIMO research without compromise.
- Remote or local radio head location
- Validate various waveform propagation schemes
- Optimize network deployment by balancing cost VS performance
- Validate interoperability scenarios
- HetNet, MU-MIMO, and CRAN testbed ready
- Validate, optimize & develop analytic channel models
- Optimize TDD and RF calibration techniques
- Full TDD & FDD support
Mimo in Wireless Communication
MIMO uses multiple antennas at both the transmitter and receiver to improve wireless communication performance. It takes advantage of multipath propagation by using spatial diversity or spatial multiplexing. With spatial diversity, the same information is transmitted from different antennas to improve reliability and coverage. With spatial multiplexing, different data streams are transmitted from different antennas to increase data rates. MIMO can significantly increase capacity, quality, and spectral efficiency compared to single-input systems. It is used in technologies like 3G, 4G, and will be important for 5G networks.
MIMO.ppt (2) 2
The document discusses MIMO (Multiple Input Multiple Output) systems. It motivates MIMO by explaining how system designers aim to achieve high data rates and quality while minimizing complexity, transmission power, and bandwidth. It describes MIMO antenna configurations including SISO and MIMO. MIMO systems use multiple transmit and receive antennas to achieve high capacity. The document outlines diversity as a design criterion for MIMO systems to achieve reliable reception. It also discusses Alamouti's space-time coding scheme and how MIMO can be combined with OFDM to further improve performance. In conclusions, MIMO brings us closer to gigabit speeds while also providing reliable communications.
Mimo wireless system
This document discusses MIMO (multi-input multi-output) wireless systems. MIMO uses multiple antennas at both the transmitter and receiver to improve capacity, range, and reliability compared to traditional SISO systems. It works by transmitting multiple parallel signals that take different paths to the receiver due to multipath propagation. The receiver then uses signal processing to combine these signals into a single output. MIMO can significantly increase channel capacity compared to SISO, SIMO, and MISO configurations according to Shannon's capacity formula. A key challenge is fading effects which can degrade signal quality.
VTC-location based channel estimation for massive full-dimensional MIMO systems
This document proposes a two-dimensional location-based channel estimation method for massive full-dimensional MIMO systems. It uses an intra-cell pilot reuse scheme where users with the same pilots can be distinguished by their unique azimuth and elevation angles of arrival. The method applies a 2D FFT to the pilot-aided channel estimates followed by a 2D window function in the angle domain to isolate the different users. Simulation results show the proposed method outperforms conventional pilot-aided estimation and that 3D MIMO can improve sum capacity and serve more users compared to traditional MIMO systems.
Performance Analysis of Massive MIMO Downlink System with Imperfect Channel S...
We investigate the ergodic sum rate and required transmit power of a single-cell massive
multiple-input multiple-output (MIMO) downlink system. The system considered in this paper is based on two
linear beamforming schemes, that is, maximum ratio transmission (MRT) beamforming and zero-forcing (ZF)
beamforming. What’s more, we use minimum mean square error (MMSE) channel estimation to get imperfect
channel state information (CSI). Compared with the perfect CSI case, both theoretical analysis and simulation
results show that the system performance is different when the imperfect CSI is taken into account.
Spatial Modulation
Performance Improvement of Spatial Modulation in Multipath Fading Channel (Generalized Spatial Modulation)
LTE Transmission Modes and BeamForming
This document discusses beamforming and the eight transmission modes in LTE Release 9. It begins with introductions to MIMO technology and beamforming basics. It then explains the eight transmission modes, including single transmit antenna mode, transmit diversity, open and closed loop spatial multiplexing, multi-user MIMO, and two beamforming modes that use UE-specific reference signals. Key aspects of LTE such as physical channels and the reference signal structure are also summarized.
Introduction to mimo
This document provides an introduction to Multiple Input Multiple Output (MIMO) technology. MIMO involves using multiple antennas at both the base station (eNB) and user equipment (UE). It explains that MIMO can transmit more data than Single Input Single Output (SISO) using the same transmission power by exploiting spatial multiplexing through independent data streams sent from different antennas. An analogy is provided comparing SISO to a single car transporting people, while MIMO could transport the same number of people using multiple cars and less fuel, similar to how MIMO can increase data rates with the same transmission power. Finally, it discusses machine learning algorithms and Python libraries that can help develop low complexity MIMO detection algorithms for applications like 5G
CSI Acquisition for FDD-based Massive MIMO Systems
II International Workshop on Challenges and Trends on Broadband Wireless Mobile Access Networks – Beyond LTE-A
MIMO
1) The document introduces MIMO (multiple-input multiple-output) wireless communication systems and discusses their advantages over traditional SISO systems, including higher spectral efficiency and ability to benefit from multipath propagation.
2) It describes the MIMO channel model and derives the capacity of MIMO systems using singular value decomposition and water-filling principles. MIMO capacity is shown to increase approximately linearly with the number of antennas.
3) Cooperative communication techniques that enable single-antenna devices to achieve MIMO-like benefits are introduced, along with the concepts of cognitive radio networks and spectrum pooling.
Mimo must read
This document provides an introduction to MIMO (Multiple Input Multiple Output) technology. MIMO uses multiple antennas at the transmitter and receiver to improve wireless communication performance. It allows for spatial diversity, spatial multiplexing, and beamforming. Many modern wireless standards have adopted MIMO, including 3GPP UMTS, WiMAX, WLAN, and LTE to provide higher data rates and better coverage. Rohde & Schwarz offers signal generators, analyzers, testers and systems to test devices implementing these MIMO standards.
Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-...
The document compares digital and hybrid analog-digital beamforming for multiuser massive MIMO systems. It describes the system model and problem formulation. Digital beamforming requires many RF chains and ADCs which is expensive for massive MIMO. Hybrid beamforming uses limited RF chains by employing analog beamforming at the transmitter with phase shifters. The document proposes a hybrid beamforming algorithm that minimizes the mean square error between the estimated signals of digital and hybrid beamforming. Simulation results show the proposed hybrid approach achieves similar performance as digital beamforming using fewer RF chains and phase shifters. It concludes hybrid beamforming provides significant savings in hardware complexity over digital beamforming for multiuser massive MIMO systems.
wireless la-ns
Data Communications,Data Networks,computer communications,multiplexing,spread spectrum,protocol architecture,data link protocols,signal encoding techniques,transmission media,asynchronous transfer mode,routing,cellular networks,lan,wan,man,high speed lans
MIMO Testing
Achieving repeatable wireless throughput measurements under realistic conditions has been a monumental challenge for the wireless industry. The reason? Throughput of wireless links is a function of many variables, all of which must be controlled to get repeatable measurements. For benchmark testing, throughput has to be maximized in a manner that is repeatable and reproducible at multiple labs around the world. The challenges and methods of achieving maximum possible throughput and repeatable measurements are the subject of this talk.
5G NR Throughput Calculation
Detail of 5G NR throughput calculation. if you want to learn 5G visit our website to learn 5G,
www.cafetele.com
Ch 09
The document discusses three high-speed digital access technologies: DSL, cable modem, and SONET. It provides details on ADSL technology for DSL, including that it is designed for residential users. For cable modem, it describes how a hybrid fiber-coaxial (HFC) network allows for bidirectional communication over coaxial cable using DOCSIS standards. SONET is introduced as a synchronous TDM system controlled by a master clock that transmits signals using frames and virtual tributaries to provide higher data rates.
Precoding
The presentation is about one of the performance feature of Wireless communication i.e. Precoding and specifically present it's role in MU-MIMO
MULTIPLE INPUT MULTIPLE OUTPUT BY SAIKIRAN PANJALA
This document discusses multiple input multiple output (MIMO) systems. MIMO uses multiple antennas at both the transmitter and receiver to improve communication performance. It achieves spatial diversity to increase signal quality and reduce fading, and spatial multiplexing to increase data rates by sending independent data streams over the same frequency band. The capacity of MIMO systems grows linearly with the number of antennas and can be several times more than single input single output systems. MIMO provides higher signal to noise ratio and lower error probability compared to SISO, SIMO and MISO through exploitation of spatial diversity and multiplexing gains.
Mimo ofdm by abhishek pandey
This document discusses a project analyzing the performance of MIMO-OFDM systems in Rayleigh fading channels. MIMO-OFDM is a popular technique for mobile communications that uses multiple antennas at the transmitter and receiver to improve data rates and capacity. The project compares the ergodic and outage capacities of MIMO-OFDM systems with varying numbers of transmit and receive antennas and analyzes performance metrics like SNR and BER. It aims to evaluate MIMO-OFDM prototype performance and investigate methods for cost reduction.
Point to point.48
This document discusses point-to-point and point-to-multipoint networks. It defines point-to-point networks as connections between two end points, usually host computers. Point-to-multipoint networks connect a single location to multiple locations. The document describes basic point-to-point data links using RS-232 interfaces and modems, as well as modern wireless point-to-point links. It explains that point-to-multipoint networks divide bandwidth from a central hub among multiple connected nodes and are commonly used for wireless internet and IP telephony.
ใบความรู้ที่ 9 เรื่อง เครือข่ายคอมพิวเตอร์
A computer network allows computers and other devices to communicate and share resources. It consists of hardware like network interface cards, hubs, switches, and cables that connect devices. It also includes software to facilitate communication between nodes on the network. Common network topologies include bus, ring, and star configurations that determine how devices are physically connected to each other through cables or wireless links.
บทที่5
The document discusses different types of computer networks including LAN, MAN, WAN, PAN and their characteristics. It also covers network topologies like bus, star, ring, tree and hybrid networks. Examples of applications of computer networks in education are mentioned like e-books, e-libraries, education games, use of ICT and CAI tools.
More Related Content
What's hot
Mimo in Wireless Communication
MIMO uses multiple antennas at both the transmitter and receiver to improve wireless communication performance. It takes advantage of multipath propagation by using spatial diversity or spatial multiplexing. With spatial diversity, the same information is transmitted from different antennas to improve reliability and coverage. With spatial multiplexing, different data streams are transmitted from different antennas to increase data rates. MIMO can significantly increase capacity, quality, and spectral efficiency compared to single-input systems. It is used in technologies like 3G, 4G, and will be important for 5G networks.
MIMO.ppt (2) 2
The document discusses MIMO (Multiple Input Multiple Output) systems. It motivates MIMO by explaining how system designers aim to achieve high data rates and quality while minimizing complexity, transmission power, and bandwidth. It describes MIMO antenna configurations including SISO and MIMO. MIMO systems use multiple transmit and receive antennas to achieve high capacity. The document outlines diversity as a design criterion for MIMO systems to achieve reliable reception. It also discusses Alamouti's space-time coding scheme and how MIMO can be combined with OFDM to further improve performance. In conclusions, MIMO brings us closer to gigabit speeds while also providing reliable communications.
Mimo wireless system
This document discusses MIMO (multi-input multi-output) wireless systems. MIMO uses multiple antennas at both the transmitter and receiver to improve capacity, range, and reliability compared to traditional SISO systems. It works by transmitting multiple parallel signals that take different paths to the receiver due to multipath propagation. The receiver then uses signal processing to combine these signals into a single output. MIMO can significantly increase channel capacity compared to SISO, SIMO, and MISO configurations according to Shannon's capacity formula. A key challenge is fading effects which can degrade signal quality.
VTC-location based channel estimation for massive full-dimensional MIMO systems
This document proposes a two-dimensional location-based channel estimation method for massive full-dimensional MIMO systems. It uses an intra-cell pilot reuse scheme where users with the same pilots can be distinguished by their unique azimuth and elevation angles of arrival. The method applies a 2D FFT to the pilot-aided channel estimates followed by a 2D window function in the angle domain to isolate the different users. Simulation results show the proposed method outperforms conventional pilot-aided estimation and that 3D MIMO can improve sum capacity and serve more users compared to traditional MIMO systems.
Performance Analysis of Massive MIMO Downlink System with Imperfect Channel S...
We investigate the ergodic sum rate and required transmit power of a single-cell massive
multiple-input multiple-output (MIMO) downlink system. The system considered in this paper is based on two
linear beamforming schemes, that is, maximum ratio transmission (MRT) beamforming and zero-forcing (ZF)
beamforming. What’s more, we use minimum mean square error (MMSE) channel estimation to get imperfect
channel state information (CSI). Compared with the perfect CSI case, both theoretical analysis and simulation
results show that the system performance is different when the imperfect CSI is taken into account.
Spatial Modulation
Performance Improvement of Spatial Modulation in Multipath Fading Channel (Generalized Spatial Modulation)
LTE Transmission Modes and BeamForming
This document discusses beamforming and the eight transmission modes in LTE Release 9. It begins with introductions to MIMO technology and beamforming basics. It then explains the eight transmission modes, including single transmit antenna mode, transmit diversity, open and closed loop spatial multiplexing, multi-user MIMO, and two beamforming modes that use UE-specific reference signals. Key aspects of LTE such as physical channels and the reference signal structure are also summarized.
Introduction to mimo
This document provides an introduction to Multiple Input Multiple Output (MIMO) technology. MIMO involves using multiple antennas at both the base station (eNB) and user equipment (UE). It explains that MIMO can transmit more data than Single Input Single Output (SISO) using the same transmission power by exploiting spatial multiplexing through independent data streams sent from different antennas. An analogy is provided comparing SISO to a single car transporting people, while MIMO could transport the same number of people using multiple cars and less fuel, similar to how MIMO can increase data rates with the same transmission power. Finally, it discusses machine learning algorithms and Python libraries that can help develop low complexity MIMO detection algorithms for applications like 5G
CSI Acquisition for FDD-based Massive MIMO Systems
II International Workshop on Challenges and Trends on Broadband Wireless Mobile Access Networks – Beyond LTE-A
MIMO
1) The document introduces MIMO (multiple-input multiple-output) wireless communication systems and discusses their advantages over traditional SISO systems, including higher spectral efficiency and ability to benefit from multipath propagation.
2) It describes the MIMO channel model and derives the capacity of MIMO systems using singular value decomposition and water-filling principles. MIMO capacity is shown to increase approximately linearly with the number of antennas.
3) Cooperative communication techniques that enable single-antenna devices to achieve MIMO-like benefits are introduced, along with the concepts of cognitive radio networks and spectrum pooling.
Mimo must read
This document provides an introduction to MIMO (Multiple Input Multiple Output) technology. MIMO uses multiple antennas at the transmitter and receiver to improve wireless communication performance. It allows for spatial diversity, spatial multiplexing, and beamforming. Many modern wireless standards have adopted MIMO, including 3GPP UMTS, WiMAX, WLAN, and LTE to provide higher data rates and better coverage. Rohde & Schwarz offers signal generators, analyzers, testers and systems to test devices implementing these MIMO standards.
Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-...
The document compares digital and hybrid analog-digital beamforming for multiuser massive MIMO systems. It describes the system model and problem formulation. Digital beamforming requires many RF chains and ADCs which is expensive for massive MIMO. Hybrid beamforming uses limited RF chains by employing analog beamforming at the transmitter with phase shifters. The document proposes a hybrid beamforming algorithm that minimizes the mean square error between the estimated signals of digital and hybrid beamforming. Simulation results show the proposed hybrid approach achieves similar performance as digital beamforming using fewer RF chains and phase shifters. It concludes hybrid beamforming provides significant savings in hardware complexity over digital beamforming for multiuser massive MIMO systems.
wireless la-ns
Data Communications,Data Networks,computer communications,multiplexing,spread spectrum,protocol architecture,data link protocols,signal encoding techniques,transmission media,asynchronous transfer mode,routing,cellular networks,lan,wan,man,high speed lans
MIMO Testing
Achieving repeatable wireless throughput measurements under realistic conditions has been a monumental challenge for the wireless industry. The reason? Throughput of wireless links is a function of many variables, all of which must be controlled to get repeatable measurements. For benchmark testing, throughput has to be maximized in a manner that is repeatable and reproducible at multiple labs around the world. The challenges and methods of achieving maximum possible throughput and repeatable measurements are the subject of this talk.
5G NR Throughput Calculation
Detail of 5G NR throughput calculation. if you want to learn 5G visit our website to learn 5G,
www.cafetele.com
Ch 09
The document discusses three high-speed digital access technologies: DSL, cable modem, and SONET. It provides details on ADSL technology for DSL, including that it is designed for residential users. For cable modem, it describes how a hybrid fiber-coaxial (HFC) network allows for bidirectional communication over coaxial cable using DOCSIS standards. SONET is introduced as a synchronous TDM system controlled by a master clock that transmits signals using frames and virtual tributaries to provide higher data rates.
Precoding
The presentation is about one of the performance feature of Wireless communication i.e. Precoding and specifically present it's role in MU-MIMO
MULTIPLE INPUT MULTIPLE OUTPUT BY SAIKIRAN PANJALA
This document discusses multiple input multiple output (MIMO) systems. MIMO uses multiple antennas at both the transmitter and receiver to improve communication performance. It achieves spatial diversity to increase signal quality and reduce fading, and spatial multiplexing to increase data rates by sending independent data streams over the same frequency band. The capacity of MIMO systems grows linearly with the number of antennas and can be several times more than single input single output systems. MIMO provides higher signal to noise ratio and lower error probability compared to SISO, SIMO and MISO through exploitation of spatial diversity and multiplexing gains.
Mimo ofdm by abhishek pandey
This document discusses a project analyzing the performance of MIMO-OFDM systems in Rayleigh fading channels. MIMO-OFDM is a popular technique for mobile communications that uses multiple antennas at the transmitter and receiver to improve data rates and capacity. The project compares the ergodic and outage capacities of MIMO-OFDM systems with varying numbers of transmit and receive antennas and analyzes performance metrics like SNR and BER. It aims to evaluate MIMO-OFDM prototype performance and investigate methods for cost reduction.
Point to point.48
This document discusses point-to-point and point-to-multipoint networks. It defines point-to-point networks as connections between two end points, usually host computers. Point-to-multipoint networks connect a single location to multiple locations. The document describes basic point-to-point data links using RS-232 interfaces and modems, as well as modern wireless point-to-point links. It explains that point-to-multipoint networks divide bandwidth from a central hub among multiple connected nodes and are commonly used for wireless internet and IP telephony.
What's hot (20)
VTC-location based channel estimation for massive full-dimensional MIMO systems
VTC-location based channel estimation for massive full-dimensional MIMO systems
Performance Analysis of Massive MIMO Downlink System with Imperfect Channel S...
Performance Analysis of Massive MIMO Downlink System with Imperfect Channel S...
CSI Acquisition for FDD-based Massive MIMO Systems
CSI Acquisition for FDD-based Massive MIMO Systems
Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-...
Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-...
MULTIPLE INPUT MULTIPLE OUTPUT BY SAIKIRAN PANJALA
MULTIPLE INPUT MULTIPLE OUTPUT BY SAIKIRAN PANJALA
Similar to ใบความรู้ที่ 9 เรื่อง ระบบเครือข่ายคอมพิวเตอร์
ใบความรู้ที่ 9 เรื่อง เครือข่ายคอมพิวเตอร์
A computer network allows computers and other devices to communicate and share resources. It consists of hardware like network interface cards, hubs, switches, and cables that connect devices. It also includes software to facilitate communication between nodes on the network. Common network topologies include bus, ring, and star configurations that determine how devices are physically connected to each other through cables or wireless links.
บทที่5
The document discusses different types of computer networks including LAN, MAN, WAN, PAN and their characteristics. It also covers network topologies like bus, star, ring, tree and hybrid networks. Examples of applications of computer networks in education are mentioned like e-books, e-libraries, education games, use of ICT and CAI tools.
บทที่5
The document discusses different types of computer networks including LAN, MAN, WAN, PAN and their characteristics. It also covers network topologies like bus, star, ring, tree and hybrid networks. Examples of applications of computer networks in education are mentioned like e-books, e-libraries, education games, use of ICT and CAI tools.
บทที่5
The document discusses different types of computer networks including LAN, MAN, WAN, PAN and their characteristics. It also covers network topologies like bus, star, ring, tree and hybrid networks. Examples of applications of computer networks in education are mentioned like e-books, e-libraries, education games, use of ICT and CAI tools.
บทที่ 2 Mobile Aplication
ตัวอย่างผลงานปริญานิพนธ์ด้าน Mobile Application
--
ด้วยความนับถือ
ทีมงานรับทำโปรเจค.net
http://www.รับทำโปรเจค.net
บริการทำโปรเจค รับทำแฟลช เกมส์ อนิเมชั่น
และ แอพพลิเคชั่น เขียนโปรแกรม งานเอกสาร รายงาน พิมพ์งาน
สารนิพนธ์ วิทยานิพนธ์ งานด้าน Hardware และอิเล็กทรอนิกส์
ติดต่อตั้งแต่เที่ยงวัน-เที่ยงคืน (12.00น.-24.00น) โทร 0831585457
Contact us & MSN : project@rubtumproject.com
Our Website : http://www.รับทำโปรเจค.net
Mobile phone : 083-158-5457
WhatsApp : 083-158-5457
FAX : 029030080 ต่อ 5457
The Best Way For Your Project Solution
บทที่4 หลักการแนวคิดในการสื่อสาร
1. Data communication networks allow data transmission between a source and a sink using a transmission channel with encoding and decoding. Noise can interfere during transmission.
2. Common transmission methods include serial and parallel data transmission. Synchronous transmission uses timing gaps while asynchronous transmission uses start and stop bits.
3. Components for data transmission networks include servers, clients, modems, hubs, switches, routers, and gateways. Wired connections include twisted pair, coaxial cable and fiber optics, while wireless uses microwave or satellite.
การสื่อสารข้อมูลและเครือข่ายคอมพิวเตอร์
Communication involves a sender, receiver, message, and medium. Data is sent through various types of media using different protocols. Wired media includes twisted pair, coaxial cable, and fiber optic cable. Wireless media includes technologies like Wi-Fi, Bluetooth, cellular networks, and satellites. Computer networks allow devices to communicate and share resources. Common network types are LANs, MANs, and WANs, which use topologies like star, ring, or bus configurations. Network devices include modems, switches, routers, and servers that facilitate communication between systems.
ใบความรู้ที่ 2 เรื่อง การเชื่อมต่อระบบอินเตอร์เน็ต
1. Dial-up internet uses analog telephone lines and modems to connect users to ISPs at speeds up to 56 Kbps, while ISDN provides digital telephone lines and ISDN modems for faster speeds up to 128 Kbps.
2. DSL internet delivers faster speeds than dial-up through telephone lines using DSL modems and requires a DSL connection from an internet service provider, while cable internet delivers broadband internet through cable television lines and coaxial cables using cable modems.
3. Satellite internet broadcasts internet signals from satellites in geostationary orbit to receive antennas and modems, providing internet access for remote areas without telephone or cable infrastructure.
งานนำเสนอ..
This document discusses different types of information and communication technologies. It covers 1) data, information, and knowledge, 2) types of technologies including sensing, communication, analyzing, and display technologies 3) examples of technologies such as Alexander Graham Bell's inventions. It then discusses the basic components of a computer network including input, processing, and output units as well as software components like operating systems and translators. Finally, it briefly mentions different types of library materials including printed materials, non-printed materials, and electronic databases.
คลื่นวิทยุ(กฤตัชญ์ หัตถกร)407
Radio waves can be used for wireless communication and are divided into categories based on frequency. Wireless local area networks (WLANs) use radio frequencies to connect devices within a small area without wires. A WLAN uses access points to connect wireless devices to a traditional wired local area network and each other. Access points can connect wireless devices like laptops, smartphones, and printers to a wired network using radio frequencies between 2.4 and 5 GHz.
Basic networking 07-2012
OSI 7 layer model.
Basic networking.
Everything you need to know - very high level. With an emphasis on TCP/IP
ระบบเครือข่าย Lan
There are three main types of computer networks: local area networks (LANs) which connect devices within a small geographic area like a home or office; metropolitan area networks (MANs) that cover larger areas within a city; and wide area networks (WANs) that span across cities, countries, or globally through technologies like the internet. Networks consist of hardware like servers, workstations, and communication systems as well as software and use different topologies and transmission media to connect nodes and allow for communication between systems. Wireless networks also allow for connectivity without physical connections.
ระบบเครือข่ายคอมพิวเตอร์
This document discusses home network technologies. It covers local area networks (LANs), wide area networks (WANs), and common networking protocols and standards. Some key points:
- LANs connect devices within a home or small office using technologies like Ethernet over twisted pair cable or WiFi. Common LAN topologies are bus, star, and ring.
- WANs allow LANs to connect over long distances using technologies such as broadband internet, leased lines, or dial-up. Protocols like TCP/IP are commonly used for both LANs and WANs.
- Common networking standards include Ethernet, Token Ring, and protocols like TCP/IP, IPX/SP
Chapter1
This document provides an introduction to computer networks. It discusses how computer networks connect computers that can be located anywhere geographically. It describes the key components of networks including physical media, interconnecting devices, computers, networking software, and applications. It also covers different types of networking media, devices, topologies, and example networks like the Internet, Ethernet, and wireless LANs. It discusses network standardization bodies like the ITU and IEEE 802.
Chapter1b Hw De Net
The document discusses different types of computer networks including local area networks (LANs), metropolitan area networks, wide area networks, wireless networks, and home networks. It describes two types of local area network topologies: bus and ring. It also mentions that metropolitan area networks can be based on cable TV infrastructure and that wide area networks connect local area networks via subnets. Wireless networks can be used for system interconnection, wireless LANs, and wireless WANs. Home networks can interconnect computers, entertainment devices, telecommunications equipment, appliances, and devices for telemetry like alarms and sensors.
เทคโนโลยีสารสนเทศ
1. There are several types of computer networks including local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs). LANs connect computers within a small geographic area like a home or office while WANs connect LANs together over larger areas.
2. Networks also include intranets, extranets, and the Internet. An intranet is a private network within an organization while an extranet allows controlled access to outside users. The Internet is a global system of interconnected computer networks.
3. Computer networks require both hardware and software. Hardware includes physical devices like routers, switches, and cables. Software includes operating systems, applications, and
เทคโนโลยีสารสนเทศ
1. There are several types of computer networks including local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs). LANs connect computers within a small geographic area like a home or office while WANs connect LANs together over larger areas.
2. Networks also include intranets, extranets, and the Internet. An intranet is a private network within an organization while an extranet allows controlled access to outside users. The Internet is a global system of interconnected computer networks.
3. Computer networks require both hardware and software. Hardware includes physical devices like routers, switches, and cables. Software includes operating systems, applications, and
Isa scada overview
This document discusses different types of SCADA (Supervisory Control and Data Acquisition) systems and HMI/PLC (Human-Machine Interface/Programmable Logic Controller) systems. It describes traditional standalone SCADA systems used for pipelines and power distribution over long distances, as well as local control SCADA used within plant boundaries. It also discusses typical networked SCADA architectures, standalone and networked HMI/PLC systems, and issues with distributed control, computing, I/O, standards, and life cycle costs.
Architecting data center networks in the era of big data and cloud
Brad Hedlund's speaking session at Interop Las Vegas 2012.
Big Data clusters and SDN enabled clouds invite a new approach to data center networking. This session for data center architects will explore the transition from traditional scale-up chassis based Layer 2 centric networking, to the next generation of scale-out Layer 3 CLOS based fabrics of fixed switches.
Working of lan
Local Area Network (LAN) allows computers and devices within a limited geographic area like a home, office, or small group of buildings to share resources. A LAN connects desktops, laptops, printers, servers and other devices together wired or wirelessly so users can share files, applications, and peripherals. Common LAN technologies include Ethernet, Token Ring, and FDDI. LANs improve collaboration and productivity by allowing seamless file sharing, network access to applications, and more.
Similar to ใบความรู้ที่ 9 เรื่อง ระบบเครือข่ายคอมพิวเตอร์ (20)
ใบความรู้ที่ 2 เรื่อง การเชื่อมต่อระบบอินเตอร์เน็ต
ใบความรู้ที่ 2 เรื่อง การเชื่อมต่อระบบอินเตอร์เน็ต
Architecting data center networks in the era of big data and cloud
Architecting data center networks in the era of big data and cloud
More from เทวัญ ภูพานทอง
คู่มือการใช้งาน Kahoot
คู่มือการใช้งาน Kahoot
จัดทำโดย นายเทวัญ ภูพานทอง
ครูโรงเรียนนามนพิทยาคม สพม. 24
คู่มือการใช้งาน Plicker
คู่มือการใช้งาน Plicker จัดทำโดย ครูเทวัญ ภูพานทอง
โรงเรียนนามนพิทยาคม สพม. 24
เอกสารประกอบการพิจารณาครูดีในดวงใจ ปี 2559
เอกสารประกอบการพิจารณาครูดีในดวงใจ .oในวันครูครั้งที่ 13 ปี 2559
ของนายเทวัญ ภูพานทอง ครูชำนาญการพิเศษ โรงเรียนนามนพิทยาคม สพม. 24
เอกสารประกอบการพิจารณา Obec Awards ปีการศึกษา 2558
เอกสารประกอบการพิจารณา Obec Awards ปีการศึกษา 2558 ด้านนวัตกรรมและเทคโนโลยีการศึกษา กลุ่มสาระการเรียนรู้การงานอาชีพและเทคโนโลยี
รายงานเยี่ยมบ้านนักเรียน ปีการศึกษา 2557
รายงานการเยี่ยมบ้านนักเรียน ปีการศึกษา 2557
โดย ครูเทวัญ ภูพานทอง
โรงเรียนนามนพิทยาคม อำเภอนามน จังหวัดกาฬสินธุ์
สำนักงานเขตพื้นที่การศึกษามัธยมศึกษา เขต 24
แบบเสนอขอรับรางวัล หนึ่งแสนครูดี
แบบเสนอขอรับรางวัล หนึ่งแสนครูดี
ของครูเทวัญ ภูพานทอง
โรงเรียนนามนพิทยาคม สพม.24
รายงานผลการปฏิบัติงานและการประเมินตนเอง ปี 2556
รายงานผลการปฏิบัติงานและการประเมินตนเอง ปี 2556
ของ ครูเทวัญ ภูพานทอง
โรงเรียนนามนพิทยาคม
สำนักงานเขตพื้นที่การศึกษามัธยมศึกษา เขต 24
More from เทวัญ ภูพานทอง (20)
เอกสารประกอบการพิจารณา Obec Awards ปีการศึกษา 2558
เอกสารประกอบการพิจารณา Obec Awards ปีการศึกษา 2558
Recently uploaded
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
This case study explores designing a scalable e-commerce platform, covering key requirements, system components, and best practices.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Recently uploaded (20)
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
ใบความรู้ที่ 9 เรื่อง ระบบเครือข่ายคอมพิวเตอร์
- 1. 9 " Home Network LAN ( Local Area Network) 1. ( 2. 1 24
- 2. 3. Home Network Home Office 4. ADSL 2 3 1. LAN (Local Area Network) 10 2. MAN (Metropolitan Area Network) 1 24
- 3. 3. WAN (Wide Area Network) World Wide Media) ( dial-up / Leased line / ISDN) (lntegrated Service Digital Network Peer To Peer Peer To Peer Distributed System) Peer To Peer Windows for Workgroup Personal Netware 1 24
- 4. Client / Server Distributed Processing LAN Topology Bus 1 1 24
- 5. Node (Node A) Node C) Node C Node C Ring Ring IBM Token Ring IBM 1 24
- 6. Star Hub Hub UTP Fiber Optic Hub Repeater) Switch Hybrid Bus, Ring Star Hybrid Network Hierarchical 1 24
- 7. Tree Wireless LAN) (LAN) Access Point 1 24