Academic literature on the topic 'Input/Output and Data Communications'

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Journal articles on the topic "Input/Output and Data Communications"

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Zhao, Yujie, Zhanyong Tang, Guixin Ye, Xiaoqing Gong, and Dingyi Fang. "Input-Output Example-Guided Data Deobfuscation on Binary." Security and Communication Networks 2021 (December 13, 2021): 1–16. http://dx.doi.org/10.1155/2021/4646048.

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Data obfuscation is usually used by malicious software to avoid detection and reverse analysis. When analyzing the malware, such obfuscations have to be removed to restore the program into an easier understandable form (deobfuscation). The deobfuscation based on program synthesis provides a good solution for treating the target program as a black box. Thus, deobfuscation becomes a problem of finding the shortest instruction sequence to synthesize a program with the same input-output behavior as the target program. Existing work has two limitations: assuming that obfuscated code snippets in the target program are known and using a stochastic search algorithm resulting in low efficiency. In this paper, we propose fine-grained obfuscation detection for locating obfuscated code snippets by machine learning. Besides, we also combine the program synthesis and a heuristic search algorithm of Nested Monte Carlo Search. We have applied a prototype implementation of our ideas to data obfuscation in different tools, including OLLVM and Tigress. Our experimental results suggest that this approach is highly effective in locating and deobfuscating the binaries with data obfuscation, with an accuracy of at least 90.34%. Compared with the state-of-the-art deobfuscation technique, our approach’s efficiency has increased by 75%, with the success rate increasing by 5%.
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Do, Nam H., Tien Van Do, Lóránt Farkas, and Csaba Rotter. "Provisioning Input and Output Data Rates in Data Processing Frameworks." Journal of Grid Computing 18, no. 3 (March 3, 2020): 491–506. http://dx.doi.org/10.1007/s10723-020-09508-0.

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Abstract This paper is motivated by the need of deadline-bounded applications in live mobile network environments to obtain the guarantee and the appropriate share of an input and output (I/O) data rate. However, data processing frameworks only support the request of memory and the computing capacity at present. In this paper, we propose a solution that allows the control of disk I/O and network I/O for data processing applications in YARN and Mesos frameworks. Experimental results show that our tool can provision the I/O data rate sharing of competing data processing applications.
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Chen, Yirun, and Wensheng Dai. "Tracking Control of the Dynamic Input-Output Economic System Based on Data Fusion." Security and Communication Networks 2022 (March 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/1461977.

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In recent years, under the background of stable economic operation, people's research on economic systems has become increasingly popular. The dynamic input-output model reflects the change and development process of the input-output relationship of the economic system over a period of time. The main purpose of tracking control is to design a suitable controller so that the output of the control system can track the output of the reference system as much as possible. In the economic system, data is an important factor. Based on this, this paper mainly studies the tracking control of dynamic input-output economic system based on data fusion. This research takes the data fusion of the dynamic input-output economic system as the starting point and takes the optimal control and tracking of the economic system as the research object of this research. Based on data fusion technology, a new dynamic input-output economic system tracking and control is proposed. This paper studies the finite-time optimal tracking control of linear systems. Through numerical examples, comparing the finite-time and infinite-time optimal control simulation results, it is proved that the algorithm can achieve good tracking control. Experimental data shows that the optimal and suboptimal performance indicators for a limited time are 0.7729412 and 1.5687310, respectively. Therefore, compared with the infinite-time optimal control, the performance loss and the final tracking error of the suboptimal control proposed in this study are reduced.
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Bhatt, Maharshi K., Bhavin S. Sedani, and Komal Borisagar. "Performance analysis of massive multiple input multiple output for high speed railway." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5180. http://dx.doi.org/10.11591/ijece.v11i6.pp5180-5188.

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This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.
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Gao, Zhiqiang, Bruce Tabachnik, and Razvan V. Savescu. "Transfer function matrix identification from input—output frequency response data." Journal of the Franklin Institute 331, no. 4 (July 1994): 435–48. http://dx.doi.org/10.1016/0016-0032(94)90007-8.

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Wang, Zhaocheng, and Jiaxuan Chen. "Networked multiple-input-multiple-output for optical wireless communication systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190189. http://dx.doi.org/10.1098/rsta.2019.0189.

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With the escalation of heterogeneous data traffic, the research on optical wireless communication (OWC) has attracted much attention, owing to its advantages such as wide spectrum, low power consumption and high security. Ubiquitous optical devices, e.g. light-emitting diodes (LEDs) and cameras, are employed to support optical wireless links. Since the distribution of these optical devices is usually dense, multiple-input-multiple-output (MIMO) can be naturally adopted to attain spatial diversity gain or spatial multiplexing gain. As the scale of OWC networks enlarges, optical MIMO can also collaborate with network-level operations, like user/AP grouping, to enhance the network throughput. Since OWC is preferred for short-range communications and is sensitive to the directions/rotations of transceivers, optical MIMO links vary frequently and sharply in outdoor scenarios when considering the mobility of optical devices, raising new challenges to network design. In this work, we present an overview of optical MIMO techniques, as well as the cooperation of MIMO and user/AP grouping in OWC networks. In consideration of the challenges for outdoor OWC, key technologies are then proposed to facilitate the adoption of optical MIMO in outdoor scenarios, especially in vehicular ad hoc networks. Lastly, future applications of MIMO in OWC networks are discussed. This article is part of the theme issue ‘Optical wireless communication’.
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Zeng, Lubin, Dominic O'Brien, Hoa Minh, Grahame Faulkner, Kyungwoo Lee, Daekwang Jung, Yunje Oh, and Eun Won. "High data rate multiple input multiple output (MIMO) optical wireless communications using white led lighting." IEEE Journal on Selected Areas in Communications 27, no. 9 (December 2009): 1654–62. http://dx.doi.org/10.1109/jsac.2009.091215.

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Xu, Yahong, Geng Yang, and Shuangjie Bai. "Laplace Input and Output Perturbation for Differentially Private Principal Components Analysis." Security and Communication Networks 2019 (November 3, 2019): 1–10. http://dx.doi.org/10.1155/2019/9169802.

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With the widespread application of big data, privacy-preserving data analysis has become a topic of increasing significance. The current research studies mainly focus on privacy-preserving classification and regression. However, principal component analysis (PCA) is also an effective data analysis method which can be used to reduce the data dimensionality, commonly used in data processing, machine learning, and data mining. In order to implement approximate PCA while preserving data privacy, we apply the Laplace mechanism to propose two differential privacy principal component analysis algorithms: Laplace input perturbation (LIP) and Laplace output perturbation (LOP). We evaluate the performance of LIP and LOP in terms of noise magnitude and approximation error theoretically and experimentally. In addition, we explore the variation of performance of the two algorithms with different parameters such as number of samples, target dimension, and privacy parameter. Theoretical and experimental results show that algorithm LIP adds less noise and has lower approximation error than LOP. To verify the effectiveness of algorithm LIP, we compare our LIP with other algorithms. The experimental results show that algorithm LIP can provide strong privacy guarantee and good data utility.
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Najadat, Hassan, Ahmad Alaiad, Sanaa Abu Alasal, Ghadeer Anwar Mrayyan, and Izzat Alsmadi. "Integration of Data Envelopment Analysis and Clustering Methods." Journal of Information & Knowledge Management 19, no. 01 (March 2020): 2040006. http://dx.doi.org/10.1142/s0219649220400067.

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Data Envelopment Analysis (DEA) has been applied creatively in various study domains to compare and evaluate different Decision Making Units (DMUs) based on multiple input–output attributes. In this paper, the performance of Jordanian public hospitals is assessed via a methodology combining DEA with data mining methods, specifically, clustering. Initially, inputs of inefficient hospitals were altered to check for waste in the allocated resources. Then, the number of inputs–outputs was manipulated to test if the number is strongly influencing the productivity of the DMUs. The number of DMUs used was 27 public hospitals and the applicable efficiency measurements used were constant return to scale (CRS) and variable return to scale (VRS) through the DEAP software. Experiments showed that the efficiency of a hospital might be more meaningfully assessed if it is compared with a group of hospitals that are similar in some factors. More specifically, results of applying the CRS model proved that 77% of the hospitals were efficient. Additionally, we found that the inefficiencies of some hospitals are linked to weak resource utilization. It is concluded that number of inputs–outputs inserted in the efficiency evaluation process impacts the resulted values.
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Subramani, Prabu, Ganesh Babu Rajendran, Jewel Sengupta, Rocío Pérez de Prado, and Parameshachari Bidare Divakarachari. "A Block Bi-Diagonalization-Based Pre-Coding for Indoor Multiple-Input-Multiple-Output-Visible Light Communication System." Energies 13, no. 13 (July 4, 2020): 3466. http://dx.doi.org/10.3390/en13133466.

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Visible Light Communication (VLC) is a promising field in optical wireless communications, which uses the illumination infrastructure for data transmission. The important features of VLC are electromagnetic interference-free, license-free, etc. Additionally, Multiple-Input-Multiple-Output (MIMO) techniques are enabled in the VLC for enhancing the limited modulation bandwidth by its spectral efficiency. The data transmission through the MIMO-VLC system is corrupted by different interferences, namely thermal noise, shot noise and phase noise, which are caused by the traditional fluorescent light. In this paper, an effective precoding technique, namely Block Bi-Diagonalization (BBD), is enabled to mitigate the interference occurring in the indoor MIMO-VLC communications. Besides, a Quadrature Amplitude Modulation (QAM) is used to modulate the signal before transmission. Here, the indoor MIMO-VLC system is developed to analyze the communication performance under noise constraints. The performance of the proposed system is analyzed in terms of Bit Error Rate (BER) and throughput. Furthermore, the performances are compared with three different existing methods such as OAP, FBM and NRZ-OOK-LOS. The BER value of the proposed system of scenario 1 is 0.0501 at 10 dB, which is less than that of the FBM technique.
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Dissertations / Theses on the topic "Input/Output and Data Communications"

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Au, Kwok Shum. "Multiple-input multiple-output detection in wireless communications and data storage systems : performance and implementation issues /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20AU.

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Chibesakunda, Mwelwa K. "A Methodology for Analyzing Power Consumption in Wireless Communication Systems." Thesis, University of Cape Town, 2004. http://pubs.cs.uct.ac.za/archive/00000102/.

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Energy usage has become an important issue in wireless communication systems. The energy-intensive nature of wireless communication has spurred concern over how best systems can make the most use of this non-renewable resource. Research in energy-efficient design of wireless communication systems show that one of its challenges is that the overall performance of the system depends, in a coupled way, on the different submodules of the system i.e. antenna, power amplifier, modulation, error control coding, and network architecture. Network architecture implementation strategies offer protocol software implementors an opportunity of incorporating low-power strategies into the design of the network protocols used for data communication. This dissertation proposes a methodology that would allow a software protocol implementor to analyze the power consumption of a wireless communication system. The foundation of this methodology lies in the understanding of the formal specification of the wireless interface network architecture which can be used to predict the performance of the system. By extending this hypothesis, a protocol implementor can use the formal specification to derive the power consumption behaviour of the wireless system during a normal operation (transmission or reception of data). A high-level formalism like state-transition graphs, can be used to track the protocol processing behaviour and to derive the associated continuous-time Markov chains. Because of their diversity, Markov reward models(MRM) are used to model the power consumption associated with the different states of a specified protocol layer. The models are solved analytically using the Mobius performance and dependability tool. Using the MRM accumulation and utilization measures, a profile of the power consumption is generated. Results from the experiments on the protocol layers show the individual power consumption and utilization of the different states as well as the accumulated power consumption of different protocol layers when compared. Ultimately, the results from the reward model solution can be used in the energy-efficient design of wireless communication systems. Lastly, in order to get an idea of how wireless communication device companies handle issues of power consumption, we consulted with the wireless module engineers at Siemens Communication South Africa and present our findings on current practices in energy efficient protocol implementation.
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Romeike, Ralf. "Output statt Input." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2013/6431/.

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Die in der Fachdidaktik Informatik im Zusammenhang mit den Bildungsstandards seit Jahren diskutierte Outputorientierung wird mittelfristig auch für die Hochschullehre verbindlich. Diese Änderung kann als Chance aufgefasst werden, aktuellen Problemen der Informatiklehre gezielt entgegenzuwirken. Basierend auf der Theorie des Constructive Alignment wird vorgeschlagen, im Zusammenhang mit der Outputorientierung eine Abstimmung von intendierter Kompetenz, Lernaktivität und Prüfung vorzunehmen. Zusätzlich profitieren Lehramtsstudenten von den im eigenen Lernprozess erworbenen Erfahrungen im Umgang mit Kompetenzen: wie diese formuliert, erarbeitet und geprüft werden. Anforderungen an die Formulierung von Kompetenzen werden untersucht, mit Beispielen belegt und Möglichkeiten zur Klassifizierung angeregt. Ein Austausch in den Fachbereichen und Fachdidaktiken über die individuell festgelegten Kompetenzen wird vorgeschlagen, um die hochschuldidaktische Diskussion zu bereichern.
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Tran, Tuan-Anh. "Multiple-input multiple-output optical wireless communications." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:094fbe23-88c3-49c4-b64b-a1de40674123.

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Visible-light optical wireless communications (OWC) is a potential technology that can help resolve the crowdedness of the radio-frequency bands, whilst conveniently exploiting energy-saving light-emitting diodes (LEDs) as transmitters for both illumination and communications. Since there usually are many LEDs in a lighting unit, OWC has a multi- input multi-output (MIMO) geometry which, thanks to its channel diversity, can offer wireless local networks at data-rates many times higher than possible with single-channel systems. In such systems, MIMO-detection methods to separate the different optical channels play an important role in improving the system performance by helping reduce cross-talk between channels. To measure the performance of a particular geometry for MIMO communications, a simulation study, reported in this thesis, found that, amongst the signal- independent metrics, the condition number may be used as a rough predictor of the performance, whilst the channel Signal-to-Interference-and-Noise Ratio (SINR) is the most appropriate for geometry assessment. Combined with the fact that the overall performance of a MIMO system is mostly dominated by its worst channel, this indicates that the most effective way to improve the system performance is to maximise the worst channel’s SINR. One of the possible solutions to improving the SINRs is to use holograms to steer the transmitter images such that their distributions over the photo-detectors reduce overlaps. As LEDs emit partially-coherent light, the beam steering has to be carried out with partially- coherent illumination. By using two lenses to parallelise and collect partially-coherent light before and after the hologram, respectively, the source and image intensity distributions, and the autocorrelation of the hologram can be related in a succinct mathematical relationship. This leads to the development of three computational algorithms based on the autocorrelation function to obtain a quantised hologram with the desired beam-steering capability. These algorithms have their cost functions and performance comparison done at the hologram plane instead of the image plane, which therefore takes less time than traditional image-based methods. Specifically, one of these algorithms is able to save significant time over both the other autocorrelation-based algorithms and the direct binary-search, by 33% and by 50% respectively. A simulation-based study and a corresponding experiment, both reported in this thesis, found that the one of the proposed algorithms had poor power efficiency, whilst the other two were both highly effective in generating digital holograms with precise and power-efficient beam-steering performance. Of these two algorithms, one had superior time performance and was likely the best of the three proposed autocorrelation-based algorithms for generating beam-steering holograms. MIMO-OWC simulation also demonstrated the capability of using beam-steering holograms to design the channel and improve the system performance. Combining reported findings, a strategy can be devised to optimise the throughput of an imaging MIMO-OWC system for a given transmitted power.
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Liu, Shuiyin. "Lattice decoding for multi-input multi-output communications." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9248.

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This thesis is concerned with decoding for wireless communications. In particular, computationally efficient lattice decoding algorithms are exploited to further improve the system performance. Based on this idea, five technical chapters are presented in this thesis. In Chapter 2, we propose novel lattice decoding based on segment Lenstra-Lenstra-Lovász (LLL) algorithm to further reduce the decoding complexity of coded Multiple-Input Multiple-Output (MIMO) cooperative channel. In particular, we extend the original segment LLL algorithm to the complex version, and prove that it can achieve the optimal diversity-multiplexing tradeoff (DMT). In Chapter 3, we present randomized lattice decoding based on Klein's sampling technique, which is a randomized version of Babai's nearest plane algorithm (i.e., successive interference cancellation). We analyze and optimize the performance of randomized lattice decoding resulting in reduced decoding complexity, and propose a very efficient implementation of random rounding. Chapter 4 is concerned with bounded distance decoding (BDD) based embedding technique. The embedding technique is used to reduce the γ-BDD problem to 1/(2γ)-unique shortest vector problem 1/(2γ)-uSVP). WE prove that the Lenstra, Lenstra and Lovász (LLL) algorithm can achieve 1/(2γ)-BDD for γ ≈ O(2n) for embedding decoding. We also prove that BDD of the regularized lattice is optimal in terms of the DMT. In Chapter 5, we present a detailed study of the soft output MIMO decoding. We show that the randomized decoding algorithm is an efficient way to compute soft output. In order to improve soft output quality, we propose variants of soft output decoding based on the sampling technique and embedding technique. Moreover, we derive a lower bound on the search radius for which list-based decoding can provide a near optimal solution to soft output. In Chapter 6, the performance limits of lattice reduction-aided precoding are investigated. The proximity factor is defined to measure the worst-case transmission power gap to sphere precoding. The second moment over precoding region is defined to measure the average-case transmission power loss. Afterward, low dimension lattice precoding is proposed to further reduce the transmission power.
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Dambul, Katrina D. "Multiple-input multiple-output (MIMO) in optical wireless communications." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558676.

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There is growing demand for indoor wireless communication systems with higher bandwidth and higher data rates. However, the crowded radio frequency (RF) spectrum has caused researchers to consider optical wireless systems. In this thesis, optical signals in the visible region of the spectrum are used. White LEDs are used as transmitters as they provide higher signal-to-noise (SNR) levels and a better link budget than the infrared alternative. Typical modulation bandwidths for white LEDs are limited to tens of MHz. Thus, multiple-input multiple-output (MIMO) transmission is considered as a means to increase data rate. The development of the indoor optical wireless MIMO system begins with the geometrical and mathematical analysis of a single-input single-output (SISO) system and a single-input multiple- output (SIMO) system. The same analysis is then performed for a MIMO system. For the MIMO system, an experimental demonstration using white LEDs and non-imaging receivers are reported. Results include coverage measurements and an SNR analysis. There are limitations using non- imaging receivers, such as coverage limitations and symmetry problems, which cause problem with signal recovery. To improve these limitations, imaging receivers are considered. The design and development of an experimental demonstration of an indoor optical wireless MIMO system with an imaging receiver is presented. The experimental setup consists of a transmitter with a 2 x 2 array of white LEDs and a receiver with a 3 x 3 photo detector array. The system transmits data at a bit rate of 2Mbit/s/channel. Detailed design specifications and optical design are presented. Results show that certain positions within the system coverage area have error-free operation. The BER and SNR analysis shows that the overall BER improves with the overall SNR. In order to exploit the full potential of the system, future work should focus on improving the SNR and BER of the system.
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Najam, Ali Imran. "Multiple-input multiple-output antennas for ultra wideband communications." Grenoble INPG, 2010. http://www.theses.fr/2010INPG0043.

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La radio Ultra Large Bande (ULB) promet de nouveaux marchés dans les domaines des réseaux personnels hauts débits et de capteurs. De sorte à améliorer la robustesse du lien radio et le débit, l’association des techniques MIMO à l’ULB a été envisagée. En vue d’une réalisation pratique, un challenge fondamental reste la conception des antennes qui doivent répondre aux contraintes de l’ULB et des systèmes multi-antennaires, et aux contraintes physiques et économiques. Dans ce contexte, plusieurs nouveaux designs d’antennes MIMO ULB sont proposés. Leur caractérisation s’appuie sur les paramètres conventionnels utilisés en conception d’antennes ainsi que des paramètres spécifiques à l’ULB et au MIMO. En particulier, un nouveau design compact présentant une forte isolation grâce à l’insertion d’un stub sur le plan de masse est proposé. Une nouvelle méthode de modélisation du couplage mutuel, qui présente l’avantage d’offrir de nouvelles approches pour le compenser, est également introduite
UWB technology has rapidly emerged in the areas of WPAN and sensors networks featuring high data rate communications. The applications of UWB are limited to very short-range communications due to the extremely low transmitted power. The combination of MIMO techniques with UWB has been considered as a solution to improve the range. However, a fundamental challenge arises for the design of antennas that faces the constraints offered by UWB systems and multi-antennas systems, and the constraints of size and cost. In this context, several new UWB-MIMO antennas are proposed. Their characterization is based on the parameters relevant to conventional antenna design and the specific parameters relevant to the UWB-MIMO antenna design. In particular, a new compact design with high isolation by inserting the inverted-Y shaped stub on the ground plane is proposed. A new method for modelling the mutual coupling, is also introduced which has the advantage of offering new approach to compensate it
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Löfving, Erik. "Organizing physical flow data : from input-output tables to data warehouses /." Linköping : Dept. of Mathematics, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/stat5s.pdf.

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Coskun, Adem. "Downlink Transmission Techniques For Multi User Multi Input Multi Output Wireless Communications." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608750/index.pdf.

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Multi-user MIMO (MIMO-MU) communication techniques make use of available channel state information at the transmitter to mitigate the inter-user interference. The goal of these techniques is to provide the least interference at the mobile stations by applying a precoding operation. In this thesis a comparison of available techniques in the literature such as Channel Decomposition, SINR Balancing, Joint-MMSE optimization is presented. Novel techniques for the MIMO multi-user downlink communication systems, where a single stream is transmitted to each user are proposed. The proposed methods, different from the other methods in the literature, use a simple receiver to combat the interference. It has been shown that MRC based receivers are as good as more complicated joint MMSE receivers.
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Khalid, Farhan [Verfasser]. "Hybrid Precoding for Multiuser Multiple-Input Multiple-Output Mobile Communications / Farhan Khalid." Aachen : Shaker, 2013. http://d-nb.info/1051575907/34.

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Books on the topic "Input/Output and Data Communications"

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Dictionary of PC hardware and data communications terms. Bonn: O'Reilly & Associates, 1996.

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Das, Vinu V. Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing. New York, NY: Springer New York, 2013.

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Balaji, V. Earth System Modelling - Volume 4: IO and Postprocessing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Stübing, Hagen. Multilayered Security and Privacy Protection in Car-to-X Networks: Solutions from Application down to Physical Layer. Wiesbaden: Springer Fachmedien Wiesbaden, 2013.

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Rabinovich, Victor. Antenna Arrays and Automotive Applications. New York, NY: Springer New York, 2013.

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Li, Feng. Interference Cancellation Using Space-Time Processing and Precoding Design. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Asia-Pacific, Meeting of Statisticians on Input-Output Tables (1984 Tokyo Japan). Input-output models: Theory, data, and application. Tokyo, Japan: Institute of Developing Economies, 1985.

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Stenström, Per. Transactions on High-Performance Embedded Architectures and Compilers IV. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Division, Statistics Canada Input-Output. The input-output structure of the Canadian economy, 1961-1981, revised data. Ottawa: Minister of Supply and Services Canada, 1987.

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Xiaoming, Zhang, and SpringerLink (Online service), eds. Internet of Things: International Workshop, IOT 2012, Changsha, China, August 17-19, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Book chapters on the topic "Input/Output and Data Communications"

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Okuhara, Koji, Hiroshi Tsuda, and Hiroe Tsubaki. "Extraction of Indirect Effect among Sectors in Industrial Network Based on Input-Output Data." In Communications in Computer and Information Science, 383–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45071-0_31.

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Padhy, Aditya Prasad, Varsha Singh, and Vinay Pratap Singh. "Model Order Reduction of Continuous Time Multi-input Multi-output System Using Sine Cosine Algorithm." In Lecture Notes on Data Engineering and Communications Technologies, 503–13. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9113-3_37.

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Zhang, Keke, Xu Chen, Yongjun Jing, Shuyang Wang, and Lijun Tang. "Research on Named Entity Recognition Method of Network Threat Intelligence." In Communications in Computer and Information Science, 213–24. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8285-9_16.

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AbstractWith the continuous emergence of new network threat means, how to turn passive defense into active prediction, the rise of Cyber Threat Intelligence (CTI) technology provides a new idea. CTI technology can timely and effectively obtain all kinds of network security threat intelligence information to help security personnel quickly identify all kinds of attacks and make effective decisions in time. However, there are not only a large number of redundant information in threat intelligence information, but also the problems of Chinese English mixing, fuzzy boundary, and polysemy of related security entities. Therefore, identifying complex and valuable information from this information has become a great challenge. Through the research on the above problems, a named entity recognition model in the field of Network Threat Intelligence Based on BERT-BiLSTM-Self-Attention-CRF is proposed to identify the complex network threat intelligence entities in the text. Firstly, the dynamic word vector is obtained through Bert to fully represent the semantic information and solve the problem of polysemy of a word. Then the obtained word vector is used as the input of BiLSTM, and the context feature vector is obtained by BiLSTM. Then the output result is introduced into the self-attention mechanism to capture the correlation within the data or features, and finally the result is input into CRF for annotation. To verify the effectiveness of the model, experiments are carried out on the constructed network threat intelligence data set. The results show that the model significantly improves the effect of Threat Intelligence named entity recognition compared with several other classical models.
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Weik, Martin H. "input-output." In Computer Science and Communications Dictionary, 788. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9084.

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Weik, Martin H. "input/output." In Computer Science and Communications Dictionary, 788. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9085.

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Weik, Martin H. "hot input-output." In Computer Science and Communications Dictionary, 737. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8492.

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Weik, Martin H. "virtual input-output." In Computer Science and Communications Dictionary, 1895. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20833.

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Weik, Martin H. "output-input field." In Computer Science and Communications Dictionary, 1202. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13337.

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Weik, Martin H. "input-output appendage." In Computer Science and Communications Dictionary, 788. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9086.

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Weik, Martin H. "input-output area." In Computer Science and Communications Dictionary, 788. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9087.

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Conference papers on the topic "Input/Output and Data Communications"

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Emmolo, Giuliana, Daryl Ma, Danilo Demarchi, and Pantelis Georgiou. "Multiple Input, Single Output Frequency Mixing Communication Technique for Low Power Data Transmission." In 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2021. http://dx.doi.org/10.1109/memea52024.2021.9478708.

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Pham, T. H., Y. C. Liang, and A. Nallanathan. "Joint Channel Estimation and Data Detection for Multi-Input Multi-Output Single Carrier Cyclic-Prefix (MIMO-SCCP) Systems." In 2008 IEEE International Conference on Communications. IEEE, 2008. http://dx.doi.org/10.1109/icc.2008.117.

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Islam, Mohammad Rakibul. "Secret data communication in a degraded practical multiple input multiple output multiple eavesdropper channel." In 2010 13th International Conference on Computer and Information Technology (ICCIT). IEEE, 2010. http://dx.doi.org/10.1109/iccitechn.2010.5723925.

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O'Brien, Dominic. "Optical Multi-Input Multi-Output systems for short-range free-space data transmission." In 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/csndsp16145.2010.5580371.

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Tang, Wen, Ai-Zu Chen, and Yan-Hong Yang. "Input-Output Efficiency Analysis of Enterprise Scientific and Technical Resources: Research Based on Data Envelopment Analysis Model." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.3048.

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Sumalatha, V., K. Sandhya Rani, M. Hari Krishna, and K. Raja Shekar Reddy. "Modeling a MIMO system with an ARX model and input-output data with noise." In 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). IEEE, 2015. http://dx.doi.org/10.1109/iccicct.2015.7475352.

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Gaballa, Mohamed, Maysam Abbod, and Muna Albasman. "Power Allocation & MRC Analysis for Single Input Multi Output Non-Orthogonal Multiple Access System." In 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE, 2021. http://dx.doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics53846.2021.00038.

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Mehdy, A. K. M. Nuhil, and Hoda Mehrpouyan. "A Multi-Input Multi-Output Transformer-Based Hybrid Neural Network for Multi-Class Privacy Disclosure Detection." In 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111419.

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The concern regarding users’ data privacy has risen to its highest level due to the massive increase in communication platforms, social networking sites, and greater users’ participation in online public discourse. An increasing number of people exchange private information via emails, text messages, and social media without being aware of the risks and implications. Researchers in the field of Natural Language Processing (NLP) have concentrated on creating tools and strategies to identify, categorize, and sanitize private information in text data since a substantial amount of data is exchanged in textual form. However, most of the detection methods solely rely on the existence of pre-identified keywords in the text and disregard the inference of underlying meaning of the utterance in a specific context. Hence, in some situations these tools and algorithms fail to detect disclosure, or the produced results are miss classified. In this paper, we propose a multi-input, multi-output hybrid neural network which utilizes transfer-learning, linguistics, and metadata to learn the hidden patterns. Our goal is to better classify disclosure/non-disclosure content in terms of the context of situation. We trained and evaluated our model on a human-annotated ground truth dataset, containing a total of 5,400 tweets. The results show that the proposed model was able to identify privacy disclosure through tweets with an accuracy of 77.4% while classifying the information type of those tweets with an impressive accuracy of 99%, by jointly learning for two separate tasks.
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Tsai, Feng-Cheng, Fang-Biau Ueng, and Ding-Ching Lin. "Low-Complexity Receiver for Massive MIMO-GFDM Communications." In 7th International Conference on Natural Language Computing (NATL 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112009.

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OFDM has two disadvantages. The first is high peak-to-average power ratio (PAPR), and the second is high out-of-band (OOB) radiated power. In the future communication applications, the diversified scenarios such as Internet of Things, inter-machine communication and telemedicine make the fourth-generation mobile communication no longer applicable. The generalized frequency division multiplexing (GFDM) has a pulse-shaping filter, which has less out-of-band radiated power and peak-to-average power ratio and fewer cyclic prefixes (CP) than OFDM. In order to meet high- data-transmission rate, it is an inevitable trend to install massive multi-input multi-output (massive MIMO) antennas. As the number of antennas increases, so does its complexity. This paper employs time reversal (TR) technology to reduce the computational complexity. Although the number of base station (BS) antennas has increased to eliminate interference, there is still residual interference. In order to eliminate the interference one step further, we deploy a zero forcing equalization (ZF equalization) after the time reversal combination.
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Ilar, M., and M. Wittwer. "Numerical Generator Protection Offers New Benefits of Gas Turbines." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-268.

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This article describes the benefits offered by a new type of numerical protection system, applied to gas turbine generators. World-wide more than 100 different generators with a total rating of about 6000 MW are equipped with this type of protection system. This protection system is completely independent of other power plant equipment, with its own DC power supplies, input isolating auxiliary current and voltage transformers and optocoupler or relay type binary input/output devices as well as serial communication links. The heart of the system is a multiprocessor high speed bus capable of handling the communication between the measuring inputs, the protection algorithm processor (s) and the output units. The system makes use of a large library of modular, pretested protective functions. Continuous self-monitoring enhances the availability of the complete protective system. Modern, well coordinated protection and turbine control systems offer new advantages to the user such as faster handling of emergency situations through the availability of more and better information together with the possibility of faster and more detailed fault analysis. In addition, a reduction in the time required for commissioning, e.g. for cables and instrument transformers, can be realized. This paper is presented to provide some understanding of the application of the protection system introduced here, in particular in connection with the ABB gas turbine generator unit type GT11N. Also introduced are the main components involved, such as numerical protective functions, self-monitoring of protection systems, and data exchange.
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Reports on the topic "Input/Output and Data Communications"

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Barker, S. Integrated Information Support System (IISS). Volume 7. Communications Subsystem. Part 6. File Input/Output Primitives (FIOPS) Unit Test Plan. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada248915.

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Ludeña, Carlos E., and Mark Horridge. GTAP Regional Input-Output Data for Jamaica, Trinidad & Tobago, Puerto Rico and the Dominican Republic. Inter-American Development Bank, October 2015. http://dx.doi.org/10.18235/0000179.

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Ross, Robert, Lee Ward, Philip Carns, Gary Grider, Scott Klasky, Quincey Koziol, Glenn K. Lockwood, Kathryn Mohror, Bradley Settlemyer, and Matthew Wolf. Storage Systems and Input/Output: Organizing, Storing, and Accessing Data for Scientific Discovery. Report for the DOE ASCR Workshop on Storage Systems and I/O. [Summary Brief]. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1544750.

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Ross, Robert, Lee Ward, Philip Carns, Gary Grider, Scott Klasky, Quincey Koziol, Glenn K. Lockwood, Kathryn Mohror, Bradley Settlemyer, and Matthew Wolf. Storage Systems and Input/Output: Organizing, Storing, and Accessing Data for Scientific Discovery. Report for the DOE ASCR Workshop on Storage Systems and I/O. [Full Workshop Report]. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1491994.

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Orr, Kyla, Ali McKnight, Kathryn Logan, and Hannah Ladd-Jones. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 7 final report engagement with inshore fisheries to promote and inform. Edited by Mark James. Marine Alliance for Science and Technology for Scotland (MASTS), 2020. http://dx.doi.org/10.15664/10023.23453.

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[Extract from Executive Summary] This report documents Work Package 7 of the Scottish Inshore Fisheries Integrated Data Systems (SIFIDS) Project, which was designed to facilitate engagement with the key stakeholders including; inshore fishers, their representative bodies, Regional Inshore Fisheries Groups, Marine Scotland including Policy, Compliance and Science. The SIFIDS Project focused on 12 metre and under inshore fisheries vessels, of which around 1,500 are registered in Scotland including those that work part-time or seasonally. The facilitation team was set various targets for engagement based on the requirements of other work packages. The success of the overall project was dependent to a significant extent on securing voluntary engagement and input from working fishers. Previous experience has shown that having a dedicated project facilitation team is an extremely effective model for establishing the necessary trust to encourage industry-participation in projects such as this. The WP7 facilitation team comprised three individuals who have significant marine and fisheries related experience and wide-ranging skills in communications and stakeholder engagement. They worked together flexibly on a part-time basis, ensuring staffing cover over extended hours where required to match fishers’ availability and geographical coverage over Scotland.
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Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45040.

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Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth input models. Using numerical algorithms developed in-house at the U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, various parameters are calculated for each cell in the model matrix in an initial processing phase. The results are combined and thresholded by the user in different ways for display and analysis. A graphical user interface provides control of input models, processing, and display as color-mapped overlays. Output displays can be saved as images, and the overlay data can be saved as raster layers for input into geographic information systems for further analysis.
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Hevia, Constantino, and Juan Pablo Nicolini. Research Insights: Do Primary Commodity Prices Account for the Fluctuations of Exchange Rates? Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004605.

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We explicitly derive a relationship between bilateral real exchange rates and primary commodity prices in a model that highlights the role of heterogeneity in production structures across countries. Fluctuations of just a few primary commodity prices account for between one third and one half of the volatility of the bilateral exchange rates of the United States against Germany, Japan, and the United Kingdom. Once we calibrate our quantitative model with data from input-output matrices and shocks to generate the observed commodity price fluctuations, our model delivers the same volatility and persistence of real exchange rates as in the data.
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Sinclair, Samantha, and Sally Shoop. Automated detection of austere entry landing zones : a “GRAIL Tools” validation assessment. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45265.

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The Geospatial Remote Assessment for Ingress Locations (GRAIL) Tools software is a geospatial product developed to locate austere entry landing zones (LZs) for military aircraft. Using spatial datasets like land classification and slope, along with predefined LZ geometry specifications, GRAIL Tools generates binary suitability filters that distinguish between suitable and unsuitable terrain. GRAIL Tools combines input suitability filters, searches for LZs at user‐defined orientations, and plots results. To refine GRAIL Tools, we: (a) verified software output; (b) conducted validation assessments using five unpaved LZ sites; and (c) assessed input dataset resolution on outcomes using 30 and 1‐m datasets. The software was verified and validated in California and the Baltics, and all five LZs were correctly identified in either the 30 or the 1‐m data. The 30‐m data provided numerous LZs for consideration, while the 1‐m data highlighted hazardous conditions undetected in the 30‐m data. Digital elevation model grid size affected results, as 1‐m data produced overestimated slope values. Resampling the data to 5 m resulted in more realistic slopes. Results indicate GRAIL Tools is an asset the military can use to rapidly assess terrain conditions.
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Farhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, December 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.

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We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation that parameters can be found that allow the QNN to learn to correctly distinguish the two data sets. We then discuss presenting the data as quantum superpositions of computational basis states corresponding to different label values. Here we show through simulation that learning is possible. We consider using our QNN to learn the label of a general quantum state. By example we show that this can be done. Our work is exploratory and relies on the classical simulation of small quantum systems. The QNN proposed here was designed with near-term quantum processors in mind. Therefore it will be possible to run this QNN on a near term gate model quantum computer where its power can be explored beyond what can be explored with simulation.
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Michaels, Michelle, Theodore Letcher, Sandra LeGrand, Nicholas Webb, and Justin Putnam. Implementation of an albedo-based drag partition into the WRF-Chem v4.1 AFWA dust emission module. Engineer Research and Development Center (U.S.), January 2021. http://dx.doi.org/10.21079/11681/42782.

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Employing numerical prediction models can be a powerful tool for forecasting air quality and visibility hazards related to dust events. However, these numerical models are sensitive to surface conditions. Roughness features (e.g., rocks, vegetation, furrows, etc.) that shelter or attenuate wind flow over the soil surface affect the magnitude and spatial distribution of dust emission. To aide in simulating the emission phase of dust transport, we used a previously published albedo-based drag partition parameterization to better represent the component of wind friction speed affecting the immediate soil sur-face. This report serves as a guide for integrating this parameterization into the Weather Research and Forecasting with Chemistry (WRF-Chem) model. We include the procedure for preprocessing the required input data, as well as the code modifications for the Air Force Weather Agency (AFWA) dust emission module. In addition, we provide an example demonstration of output data from a simulation of a dust event that occurred in the Southwestern United States, which incorporates use of the drag partition.
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