Gotowe bibliografie tematyczne / Channel reliability metrics

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Gotowa bibliografia na temat „Channel reliability metrics”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 2 lutego 2022

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Artykuły w czasopismach na temat "Channel reliability metrics"

Forsting, Johannes, Marlena Rohm, Martijn Froeling, Anne-Katrin Güttsches, Matthias Vorgerd, Lara Schlaffke, and Robert Rehmann. "High Inter-Rater Reliability of Manual Segmentation and Volume-Based Tractography in Healthy and Dystrophic Human Calf Muscle." Diagnostics 11, no. 9 (August 24, 2021): 1521. http://dx.doi.org/10.3390/diagnostics11091521.

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Background: Muscle diffusion tensor imaging (mDTI) is a promising surrogate biomarker in the evaluation of muscular injuries and neuromuscular diseases. Since mDTI metrics are known to vary between different muscles, separation of different muscles is essential to achieve muscle-specific diffusion parameters. The commonly used technique to assess DTI metrics is parameter maps based on manual segmentation (MSB). Other techniques comprise tract-based approaches, which can be performed in a previously defined volume. This so-called volume-based tractography (VBT) may offer a more robust assessmen

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Amezcua Valdovinos, Ismael, Patricia Elizabeth Figueroa Millán, Jesús Arturo Pérez-Díaz, and Cesar Vargas-Rosales. "Distributed Channel Ranking Scheduling Function for Dense Industrial 6TiSCH Networks." Sensors 21, no. 5 (February 25, 2021): 1593. http://dx.doi.org/10.3390/s21051593.

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The Industrial Internet of Things (IIoT) is considered a key enabler for Industry 4.0. Modern wireless industrial protocols such as the IEEE 802.15.4e Time-Slotted Channel Hopping (TSCH) deliver high reliability to fulfill the requirements in IIoT by following strict schedules computed in a Scheduling Function (SF) to avoid collisions and to provide determinism. The standard does not define how such schedules are built. The SF plays an essential role in 6TiSCH networks since it dictates when and where the nodes are communicating according to the application requirements, thus directly influenc

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Jin, Yong, and Guangwei Bai. "Energy-Aware Adaptive Cooperative FEC Protocol in MIMO Channel for Wireless Sensor Networks." Journal of Electrical and Computer Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/891429.

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We propose an adaptive cooperative forward error correction (ACFEC) based on energy efficiency combining Reed-Solomon (RS) coder algorithm and multiple input multiple output (MIMO) channel technology with monitoring signal-to-noise ratio (SNR) in wireless sensor networks. First, we propose a new Markov chain model for FEC based on RS codes and derive the expressions for QoS on the basis of this model, which comprise four metrics: throughput, packet error rate, delay, and energy efficiency. Then, we apply RS codes with the MIMO channel technology to the cross-layer design. Numerical and simulat

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Bokharaie, V. Samadi, and A. Jahanian. "Side-channel leakage assessment metrics and methodologies at design cycle: A case study for a cryptosystem." Journal of Information Security and Applications 54 (October 2020): 102561. http://dx.doi.org/10.1016/j.jisa.2020.102561.

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Chiariotti, Federico, Israel Leyva-Mayorga, Čedomir Stefanović, Anders E. Kalør, and Petar Popovski. "Spectrum Slicing for Multiple Access Channels with Heterogeneous Services." Entropy 23, no. 6 (May 28, 2021): 686. http://dx.doi.org/10.3390/e23060686.

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Wireless mobile networks from the fifth generation (5G) and beyond serve as platforms for flexible support of heterogeneous traffic types with diverse performance requirements. In particular, the broadband services aim for the traditional rate optimization, while the time-sensitive services aim for the optimization of latency and reliability, and some novel metrics such as Age of Information (AoI). In such settings, the key question is the one of spectrum slicing: how these services share the same chunk of available spectrum while meeting the heterogeneous requirements. In this work we investi

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Kulow, Alexander, Thomas Schamberger, Lars Tebelmann, and Georg Sigl. "Finding the Needle in the Haystack: Metrics for Best Trace Selection in Unsupervised Side-Channel Attacks on Blinded RSA." IEEE Transactions on Information Forensics and Security 16 (2021): 3254–68. http://dx.doi.org/10.1109/tifs.2021.3074884.

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Ateeq, Muhammad, Muhammad Khalil Afzal, Muhammad Naeem, Muhammad Shafiq, and Jin-Ghoo Choi. "Deep Learning-Based Multiparametric Predictions for IoT." Sustainability 12, no. 18 (September 19, 2020): 7752. http://dx.doi.org/10.3390/su12187752.

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Wireless Sensor Networks (WSNs) and Internet of Things (IoT) often suffer from error-prone links when deployed in resource-constrained industrial environments. Reliability is a critical performance requirement of loss-sensitive applications, and Signal-to-Noise Ratio (SNR) is a key indicator of successful communications. In addition to the improvement of the physical layer through modulation and channel coding, machine learning offers adaptive solutions by configuring various communication parameters dynamically. In this paper, we apply a Deep Neural Network (DNN) to predict SNR and Packet Del

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Asuti, Manjunath G., and Prabhugoud I. Basarkod. "Efficiency enhancement using optimized static scheduling technique in TSCH networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 1952. http://dx.doi.org/10.11591/ijece.v10i2.pp1952-1962.

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In recent times, the reliable and real-time data transmission becomes a mandatory requirement for various industries and organizations due to the large utilization of Internet of Things (IoT) devices. However, the IoT devices need high reliability, precise data exchange and low power utilization which cannot be achieved by the conventional Medium Access Control (MAC) protocols due to link failures and high interferences in the network. Therefore, the Time-Slotted Channel Hopping (TSCH) networks can be used for link scheduling under the IEEE 802.15.4e standard. In this paper, we propose an Opti

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Gibbs, Matthew S., David McInerney, Greer Humphrey, Mark A. Thyer, Holger R. Maier, Graeme C. Dandy, and Dmitri Kavetski. "State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application." Hydrology and Earth System Sciences 22, no. 1 (February 1, 2018): 871–87. http://dx.doi.org/10.5194/hess-22-871-2018.

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Abstract. Monthly to seasonal streamflow forecasts provide useful information for a range of water resource management and planning applications. This work focuses on improving such forecasts by considering the following two aspects: (1) state updating to force the models to match observations from the start of the forecast period, and (2) selection of a shorter calibration period that is more representative of the forecast period, compared to a longer calibration period traditionally used. The analysis is undertaken in the context of using streamflow forecasts for environmental flow water man

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Yamashkin, Stanislav, Milan Radovanovic, Anatoliy Yamashkin, and Darko Vukovic. "Using ensemble systems to study natural processes." Journal of Hydroinformatics 20, no. 4 (March 5, 2018): 753–65. http://dx.doi.org/10.2166/hydro.2018.076.

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Abstract Increasing accuracy of the data analysis of remote sensing of the Earth significantly affects the quality of decisions taken in the field of environmental management. The article describes the methodology for decoding multispectral space images based on the ensemble learning concept, which can effectively solve important problems of geosystems mapping, including diagnostics of the structure and condition of catchment basins, inventory of water bodies and assessment of their ecological state, study of channel processes; monitoring and forecasting of functioning, dynamics and developmen

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Rozprawy doktorskie na temat "Channel reliability metrics"

Shaheem, Asri. "Iterative detection for wireless communications." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0223.

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[Truncated abstract] The transmission of digital information over a wireless communication channel gives rise to a number of issues which can detract from the system performance. Propagation effects such as multipath fading and intersymbol interference (ISI) can result in significant performance degradation. Recent developments in the field of iterative detection have led to a number of powerful strategies that can be effective in mitigating the detrimental effects of wireless channels. In this thesis, iterative detection is considered for use in two distinct areas of wireless communications.

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Części książek na temat "Channel reliability metrics"

Siderius, Christian, Robel Geressu, Martin C. Todd, Seshagiri Rao Kolusu, Julien J. Harou, Japhet J. Kashaigili, and Declan Conway. "High Stakes Decisions Under Uncertainty: Dams, Development and Climate Change in the Rufiji River Basin." In Climate Risk in Africa, 93–113. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61160-6_6.

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AbstractThe need to stress test designs and decisions about major infrastructure under climate change conditions is increasingly being recognised. This chapter explores new ways to understand and—if possible—reduce the uncertainty in climate information to enable its use in assessing decisions that have consequences across the water, energy, food and environment sectors. It outlines an approach, applied in the Rufiji River Basin in Tanzania, that addresses uncertainty in climate model projections by weighting them according to different skill metrics; how well the models simulate important climate features. The impact of different weighting approaches on two river basin performance indicators (hydropower generation and environmental flows) is assessed, providing an indication of the reliability of infrastructure investments, including a major proposed dam under different climate model projections. The chapter ends with a reflection on the operational context for applying such approaches and some of the steps taken to address challenges and to engage stakeholders.

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Schneidewind, Norman F. "Software Requirements Risk and Maintainability." In Encyclopedia of Information Science and Technology, First Edition, 2562–66. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-553-5.ch454.

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In order to continue to make progress in software measurement, as it pertains to reliability and maintainability, there must be a shift in emphasis from design and code metrics to metrics that characterize the risk of making requirements changes. By doing so, the quality of delivered software can be improved because defects related to problems in requirements specifications will be identified early in the life cycle. An approach is described for identifying requirements change risk factors as predictors of reliability and maintainability problems. This approach can be generalized to other applications with numerical results that would vary according to application. An example is provided that consists of 24 space shuttle change requests, 19 risk factors, and the associated failures and software metrics.

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Sadi, Muhammad Sheikh, D. G. Myers, and Cesar Ortega Sanchez. "Complexity Analysis at Design Stages of Service Oriented Architectures as a Measure of Reliability Risks." In Engineering Reliable Service Oriented Architecture, 292–314. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-493-6.ch014.

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Tremendous growth in interest of Service oriented Architectures (SOA) triggers a substantial amount of research in its reliability assurances. To minimize the risks of these types of systems’ failure, it is a requirement to flag those components of SOA that are likely to have higher faults. Clearly, the degree of protection or prevention of faults mechanism is not same for all components. This chapter proposes the usage of metrics that are simply heuristics and are used to scan the system model and flag complex components where faults are more likely to take place. Thus the metric output is some priority or it is a measure of likelihood of faults in a component. This chapter then suggests the designers for possible changes in the design if there remains any risk(s) of degradation of desired functionalities.

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Seah, Winston K. G., and Hwee-Xian Tan. "Quality of Service in Mobile Ad Hoc Networks." In Mobile Computing, 2833–42. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch214.

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Mobile ad hoc networks (MANETs) form a class of multi-hop wireless networks that can easily be deployed on-the-fly. These are autonomous systems that do not require existing infrastructure; each participating node in the network acts as a host as well as a packet-forwarding router. In addition to the difficulties experienced by conventional wireless networks, such as wireless interference, noise and obstructions from the environment, hidden/exposed terminal problems, and limited physical security, MANETs are also characterized by dynamically changing network topology and energy constraints. While MANETs were originally designed for use in disaster emergencies and defense-related applications, there are a number of potential applications of ad hoc networking that are commercially viable. Some of these applications include multimedia teleconferencing, home networking, embedded computing, electronic classrooms, sensor networks, and even underwater surveillance. The increased interest in MANETs in recent years has led to intensive research efforts which aim to provide quality of service (QoS) support over such infrastructure-less networks with unpredictable behaviour. Generally, the QoS of any particular network can be defined as its ability to deliver a guaranteed level of service to its users and/or applications. These service requirements often include performance metrics such as throughput, delay, jitter (delay variance), bandwidth, reliability, etc., and different applications may have varying service requirements. The performance metrics can be computed in three different ways: (i) concave (e.g., minimum bandwidth along each link); (ii) additive (e.g., total delay along a path); and (iii) multiplicative (e.g., packet delivery ratio along the entire route). While much effort has been invested in providing QoS in the Internet during the last decade, leading to the development of Internet QoS models such as integrated services (IntServ) (Braden, 1994) and differentiated services (DiffServ) (Blake, 1998), the Internet is currently able to provide only best effort (BE) QoS to its applications. In such networks with predictable resource availability, providing QoS beyond best effort is already a challenge. It is therefore even more difficult to achieve a BE-QoS similar to the Internet in networks like MANETs, which experience a vast spectrum of network dynamics (such as node mobility and link instability). In addition, QoS is only plausible in a MANET if it is combinatorially stable, i.e., topological changes occur slow enough to allow the successful propagation of updates throughout the network. As such, it is often debatable as to whether QoS in MANETs is just a myth or can become a reality.

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Burstein, Frada, and J. Cowie. "Mobile Decision Support for Time-Critical Decision Making." In Mobile Computing, 3552–60. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch259.

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The wide availability of advanced information and communication technology has made it possible for users to expect a much wider access to decision support. Since the context of decision making is not necessarily restricted to the office desktop; decision support facilities have to be provided through access to technology anywhere; anytime; and through a variety of mediums. The spread of e-services and wireless devices has increased accessibility to data; and in turn; influenced the way in which users make decisions while on the move; especially in time-critical situations. For example; on site decision support for fire weather forecasting during bushfires can include realtime evaluation of quality of local fire weather forecast in terms of accuracy and reliability. Such decision support can include simulated scenarios indicating the probability of fire spreading over nearby areas that rely on data collected locally at the scene and broader data from the regional and national offices. Decision Support Systems (DSS) available on mobile devices; which triage nurses can rely on for immediate; expert advice based on available information; can minimise delay in actions and errors in triage at emergency departments (Cowie & Godley; 2006). Time-critical decision making problems require context-dependent metrics for representing expected cost of delaying an action (Greenwald & Dean; 1995); expected value of revealed information; expected value of displayed information (Horvitz; 1995) or expected quality of service (Krishnaswamy; Loke; & Zaslavsky; 2002). Predicting utility or value of information or services is aimed at efficient use of limited decision making time or processing time and limited resources to allow the system to respond to the time-critical situation within the required time frame. Sensitivity analysis (SA) pertains to analysis of changes in output due to changes in inputs (Churilov et al.;1996). In the context of decision support; traditionally SA includes the analysis of changes in output when some aspect of one or more of the decision model’s attributes change; and how these affect the final DSS recommendations (Triantaphyllou & Sanchez; 1997). In time-critical decision making monitoring; the relationship between the changes in the current input data and how these changes will impact on the expected decision outcome can be an important feature of the decision support (Hodgkin; San Pedro; & Burstein; 2004; San Pedro; Burstein; Zaslavsky; & Hodgkin; 2004). Thus; in a time-critical decision making environment; the decision maker requires information pertaining to both the robustness of the current model and ranking of feasible alternatives; and how sensitivity this information is to time; for example; whether in 2; 5; or 10 minutes; a different ranking of proposed solutions may be more relevant. The use of graphical displays to relay the sensitivity of a decision to changes in parameters and the model’s sensitivity to time has been shown to be a useful way of inviting the decision maker to fully investigate their decision model and evaluate the risk associated with making a decision now (whilst connectivity is possible); rather than at a later point in time (when perhaps a connection has been lost) (Cowie & Burstein; 2006). In this article; we present an overview of the available approaches to mobile decision support and specifically highlight the advantages such systems bring to the user in time-critical decision situations. We also identify the challenges that the developers of such systems have to face and resolve to ensure efficient decision support under uncertainty is provided.

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Streszczenia konferencji na temat "Channel reliability metrics"

Hossler, Tom, Meryem Simsek, and Gerhard P. Fettweis. "Joint Analysis of Channel Availability and Time-Based Reliability Metrics for Wireless URLLC." In GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647801.

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Szczecinski, L., A. Alvarado, and R. Feick. "Probability Density Functions of Reliability Metrics for 16-QAM-Based BICM Transmission in Rayleigh Channel." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.172.

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Chadha, Shyam, Daniel Hung, and Samir Rashid. "A Novel Approach to Evaluating Leak Detection CPM System Sensitivity/Reliability Performance Trade-Offs." In 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33650.

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As defined in American Petroleum Institute Recommended Practice 1130 (API RP 1130), CPM system leak detection performance is evaluated on the basis of four distinct but interrelated metrics: sensitivity, reliability, accuracy and robustness. These performance metrics are captured to evaluate performance, manage risk and prioritize mitigation efforts. Evaluating and quantifying sensitivity performance of a CPM system is paramount to ensure the performance of the CPM system is acceptable based on a company’s risk profile for detecting leaks. Employing API RP 1130 recommended testing methodologie

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Shaheem, A., H. J. Zepernick, and M. Caldera. "Channel reliability metric for Nakagami-m fading without channel state information." In GLOBECOM '05. IEEE Global Telecommunications Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/glocom.2005.1577657.

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Malhotra, Ruchika, and Ankita Bansal. "Predicting change using software metrics: A review." In 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). IEEE, 2015. http://dx.doi.org/10.1109/icrito.2015.7359253.

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Kim, Injoong, Suresh K. Sitaraman, and Russell S. Peak. "Reliability Objects Model: A Knowledge Model of System Design for Reliability." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79934.

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Designing complex systems that satisfy a target reliability is difficult because of complex assembly structures and logical connections, numerous components and associated failure modes, limited reliability data or prediction models, and multi-disciplinary nature. To overcome these difficulties and to design complex systems in a systematic way, this research aims to develop a knowledge model of system design for reliability, called Reliability Object Model. This knowledge model contains a) a new failure analysis structure, b) reliability metrics that represent random failures and wearout failu

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Nakamura, Mitsuhiro, and Tomoki Hamagami. "A Software Quality Evaluation Method Using the Change of Source Code Metrics." In 2012 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2012. http://dx.doi.org/10.1109/issrew.2012.13.

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Moser, Raimund, Witold Pedrycz, and Giancarlo Succi. "Analysis of the reliability of a subset of change metrics for defect prediction." In the Second ACM-IEEE international symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1414004.1414063.

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Menold, Jessica, Kathryn Jablokow, Timothy Simpson, and Rafael Seuro. "Evaluating the Discriminatory Value and Reliability of Ideation Metrics for Their Application to Concept Development and Prototyping." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67816.

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Approximately half of new product development projects fail in the market place. Within the product development process, prototyping represents the largest sunk cost; it also remains the least researched and understood. While researchers have recently started to evaluate the impact of formalized prototyping methods and frameworks on end designs, these studies have typically evaluated the success or failure of these methods using binary metrics, and they often evaluate only the design’s technical feasibility. Intuitively, we know that a product’s success or failure in the marketplace is determi

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Jin, X., P. Woytowitz, and T. Tan. "On Determination of Sample Size to Evaluate Reliability Growth Plans." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62189.

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The reliability performance of Semiconductor Manufacturing Equipments (SME) is very important for both equipment manufacturers and customers. However, the response variables are random in nature and can significantly change due to many factors. In order to track the equipment reliability performance with certain confidence, this paper proposes an efficient methodology to calculate the number of samples needed to measure the reliability performance of the SME tools. This paper presents a frequency-based Statistics methodology to calculate the number of sampled tools to evaluate the SME reliabil

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