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Journal articles on the topic 'Windowing environment'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Montaniz, Frank, and Robert Mack. "A Comparison of Touch Interface Techniques for a Graphical Windowing Software Environment." Proceedings of the Human Factors Society Annual Meeting 35, no. 5 (September 1991): 290–94. http://dx.doi.org/10.1177/154193129103500511.

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Park, Seongho, and JaeWon Kang. "An Investigative Study on the Paradigm Shift of Windowing of Korean Broadcasting Programs: Segmented Window Types and Windowing Features in a Convergence Environment." Journal of Cybercommunication Academic Society 38, no. 1 (March 31, 2021): 5–57. http://dx.doi.org/10.36494/jcas.2021.03.38.1.5.

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3

Kataoka, Yutaka, Masato Morisaki, Hiroshi Kuribayashi, and Hiroyoshi Ohara. "A model for input and output of multilingual text in a windowing environment." ACM Transactions on Information Systems 10, no. 4 (October 1992): 438–51. http://dx.doi.org/10.1145/146486.146558.

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Mack, Robert, and Frank Montaniz. "A Comparison of Touch and Mouse Interaction Techniques for a Graphical Windowing Software Environment." Proceedings of the Human Factors Society Annual Meeting 35, no. 5 (September 1991): 286–89. http://dx.doi.org/10.1177/154193129103500510.

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5

Popieul, Jean-Christophe, Pierre Loslever, Alexis Todoskoff, Philippe Simon, and Matthias Rötting. "Multivariate analysis of human behavior data using fuzzy windowing: Example with driver–car–environment system." Engineering Applications of Artificial Intelligence 25, no. 5 (August 2012): 989–96. http://dx.doi.org/10.1016/j.engappai.2011.11.011.

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6

Mack, Robert, and Kathy Lang. "A Benchmark Comparison of Mouse and Touch Interface Techniques for an Intelligent Workstation Windowing Environment." Proceedings of the Human Factors Society Annual Meeting 33, no. 5 (October 1989): 325–29. http://dx.doi.org/10.1177/154193128903300520.

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This study presents evidence that a prototype touch interface technology emulating basic interaction techniques of a mouse pointing device is comparable in overall usability to a conventional mouse for a direct manipulation, graphical windowing software environment. The touch technology prototype involves using either a stylus or finger, with an overlay sensitive to changes in capacitance. Users practiced each technique (mouse, stylus, finger, keyboard with no mouse), in the context of carrying out office-related tasks on the first of a two day study, and then eight similar test tasks on the s

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Bahoura, Mohammed. "Efficient FPGA-Based Architecture of the Overlap-Add Method for Short-Time Fourier Analysis/Synthesis." Electronics 8, no. 12 (December 12, 2019): 1533. http://dx.doi.org/10.3390/electronics8121533.

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This paper proposes a simple and efficient FPGA-based architecture of the overlapping/windowing and overlap-add methods for real-time FFT/IFFT-based signal processing algorithms. The analyzed signal is divided into short-time overlapping frames that are windowed before applying Fourier analysis/synthesis. Then, the original signal is reconstructed from the windowed (modified) frames using the overlap-add (OLA) technique. The proposed architecture was implemented on Field Programmable Gate Array (FPGA) using a high-level programming tool in MATLAB/SIMULINK environment. Its performance was evalu

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King, Franklin, Jagadeesan Jayender, Sharath K. Bhagavatula, Paul B. Shyn, Steve Pieper, Tina Kapur, Andras Lasso, and Gabor Fichtinger. "An Immersive Virtual Reality Environment for Diagnostic Imaging." Journal of Medical Robotics Research 01, no. 01 (March 2016): 1640003. http://dx.doi.org/10.1142/s2424905x16400031.

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Purpose: Advancements in and adoption of consumer virtual reality (VR) are currently being propelled by numerous upcoming devices such as the Oculus Rift. Although applications are currently growing around the entertainment field, wide-spread adoption of VR devices opens up the potential for other applications that may have been unfeasible with past implementations of VR. A VR environment may provide an equal or larger screen area than what is provided with the use of multiple conventional displays while remaining comparatively cheaper and more portable making it an attractive option for diagn

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Remy, Philippe, Bernard Devloo, and JoséSergio Rodrigues Alves Filho. "An object oriented approach to finite element programming (Phase I): a system independent windowing environment for developing interactive scientific programs." Advances in Engineering Software 14, no. 1 (January 1992): 41–46. http://dx.doi.org/10.1016/0965-9978(92)90082-q.

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10

Shih, Timothy K., Yule-Chyun Lin, Wen C. Pai, and Chun-Chia Wang. "An Object-Oriented Design Complexity Metric Based on Inheritance Relationships." International Journal of Software Engineering and Knowledge Engineering 08, no. 04 (December 1998): 541–66. http://dx.doi.org/10.1142/s0218194098000297.

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Software metrics serve as a significant issue to improve software quality. It is an important research of software engineering. In line with the methodologies of object-oriented analysis and design widely developed, many software metrics techniques have been proposed. However, not many focus on the metrics evaluation of an inheritance hierarchy. In this paper, we propose a novel concept named unit repeated inheritance (URI) in Z notation to realize object-oriented software metrics. The approach describes an inheritance level technique (ILT) method as a guide to measure the software complexity

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Schmalstieg, Dieter, Anton Fuhrmann, Gerd Hesina, Zsolt Szalavári, L. Miguel Encarnação, Michael Gervautz, and Werner Purgathofer. "The Studierstube Augmented Reality Project." Presence: Teleoperators and Virtual Environments 11, no. 1 (February 2002): 33–54. http://dx.doi.org/10.1162/105474602317343640.

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Our starting point for developing the Studierstube system was the belief that augmented reality, the less obtrusive cousin of virtual reality, has a better chance of becoming a viable user interface for applications requiring manipulation of complex three-dimensional information as a daily routine. In essence, we are searching for a 3-D user interface metaphor as powerful as the desktop metaphor for 2-D. At the heart of the Studierstube system, collaborative augmented reality is used to embed computer-generated images into the real work environment. In the first part of this paper, we review t

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Nunes, Luana F., and Kevin Gurney. "Multi-alternative decision-making with non-stationary inputs." Royal Society Open Science 3, no. 8 (August 2016): 160376. http://dx.doi.org/10.1098/rsos.160376.

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One of the most widely implemented models for multi-alternative decision-making is the multihypothesis sequential probability ratio test (MSPRT). It is asymptotically optimal, straightforward to implement, and has found application in modelling biological decision-making. However, the MSPRT is limited in application to discrete (‘trial-based’), non-time-varying scenarios. By contrast, real world situations will be continuous and entail stimulus non-stationarity. In these circumstances, decision-making mechanisms (like the MSPRT) which work by accumulating evidence, must be able to discard outd

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13

Quigley, Bronagh, Mark Donnelly, George Moore, and Leo Galway. "A Comparative Analysis of Windowing Approaches in Dense Sensing Environments." Proceedings 2, no. 19 (October 17, 2018): 1245. http://dx.doi.org/10.3390/proceedings2191245.

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Windowing is an established technique employed within dense sensing environments to extract relevant features from sensor data streams. Among the established approaches of Explicit, Time-based and Sensor-Event based windowing, Dynamic windowing approaches are beginning to emerge. These dynamic approaches claim to address the inherent shortcomings of the aforementioned established approaches by determining the appropriate window length for live sensor data streams in real-time, thereby offering the potential to optimize and increase the recognition of these sensor represented activities. Beyond

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Collins, Bradley Dean, Stephan Heyns, Schalk Kok, and Daniel Nico Wilke. "Application of Anti-Diagonal Averaging in Response Reconstruction." Symmetry 13, no. 7 (June 28, 2021): 1165. http://dx.doi.org/10.3390/sym13071165.

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Response reconstruction is used to obtain accurate replication of vehicle structural responses of field recorded measurements in a laboratory environment, a crucial step in the process of Accelerated Destructive Testing (ADA). Response Reconstruction is cast as an inverse problem whereby an input signal is inferred to generate the desired outputs of a system. By casting the problem as an inverse problem we veer away from the familiarity of symmetry in physical systems since multiple inputs may generate the same output. We differ in our approach from standard force reconstruction problems in th

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Andò, Bruno, Salvatore Baglio, Adi R. Bulsara, and Vincenzo Marletta. "Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy." Energies 14, no. 3 (February 1, 2021): 754. http://dx.doi.org/10.3390/en14030754.

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This paper, for the first time, investigates the possibility of exploiting a nonlinear bistable snap-through buckling structure employing piezoelectric transducers, to implement an autonomous sensor of mechanical vibrations, with an embedded energy harvesting functionality. The device is operated in the presence of noisy vibrations superimposed on a subthreshold deterministic (sinusoidal) input signal. While the capability of the device to harvest a significant amount of energy has been demonstrated in previous works, here, we focus on the signal processing methodology aimed to extract from th

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Yonto, Daniel, L. Michele Issel, and Jean-Claude Thill. "Spatial Analytics Based on Confidential Data for Strategic Planning in Urban Health Departments." Urban Science 3, no. 3 (July 22, 2019): 75. http://dx.doi.org/10.3390/urbansci3030075.

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Spatial data analytics can detect patterns of clustering of events in small geographies across an urban region. This study presents and demonstrates a robust research design to study the longitudinal stability of spatial clustering with small case numbers per census tract and assess the clustering changes over time across the urban environment to better inform public health policy making at the community level. We argue this analysis enables the greater efficiency of public health departments, while leveraging existing data and preserving citizen personal privacy. Analysis at the census tract

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17

Joly, Daniel, and Thierry Brossard. "Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers, Svalbard." Polar Record 43, no. 4 (October 2007): 353–59. http://dx.doi.org/10.1017/s003224740700678x.

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ABSTRACTThe climate and its components (temperature and precipitation) are organised according to different spatial scales that are structured hierarchically. The aim of this paper is to explore the dependence between temperature and deterministic factors at different scales on a 10 km2 study area on the northwestern coast of Svalbard. A GIS was developed which contained three sources of information: temperature, remotely sensed imagery and digital elevation models (DEM), and derived raster data layers. The first layer, temperatures, was acquired at regularly observed temporal intervals from 5

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18

Catak, Ferhat Ozgur, Javed Ahmed, Kevser Sahinbas, and Zahid Hussain Khand. "Data augmentation based malware detection using convolutional neural networks." PeerJ Computer Science 7 (January 22, 2021): e346. http://dx.doi.org/10.7717/peerj-cs.346.

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Due to advancements in malware competencies, cyber-attacks have been broadly observed in the digital world. Cyber-attacks can hit an organization hard by causing several damages such as data breach, financial loss, and reputation loss. Some of the most prominent examples of ransomware attacks in history are WannaCry and Petya, which impacted companies’ finances throughout the globe. Both WannaCry and Petya caused operational processes inoperable by targeting critical infrastructure. It is quite impossible for anti-virus applications using traditional signature-based methods to detect this type

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19

M. Al-Sammna, Ahmed, Marwan Hadri Azmi, and Tharek Abd Rahman. "Time-Varying Ultra-Wideband Channel Modeling and Prediction." Symmetry 10, no. 11 (November 12, 2018): 631. http://dx.doi.org/10.3390/sym10110631.

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This paper considers the channel modeling and prediction for ultra-wideband (UWB) channels. The sparse property of UWB channels is exploited, and an efficient prediction framework is developed by introducing two simplified UWB channel impulse response (CIR) models, namely, the windowing-based on window delay (WB-WD) and the windowing-based on bin delay (WB-BD). By adopting our proposed UWB windowing-based CIR models, the recursive least square (RLS) algorithm is used to predict the channel coefficients. By using real CIR coefficients generated from measurement campaign data conducted in outdoo

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20

Tan, Kah-Chye, Hock Lim, and B. T. G. Tan. "Windowing techniques for image restoration." CVGIP: Graphical Models and Image Processing 53, no. 5 (September 1991): 491–500. http://dx.doi.org/10.1016/1049-9652(91)90033-g.

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21

Bergamo, Paolo, Daniele Boiero, and Laura Valentina Socco. "Retrieving 2D structures from surface-wave data by means of space-varying spatial windowing." GEOPHYSICS 77, no. 4 (July 1, 2012): EN39—EN51. http://dx.doi.org/10.1190/geo2012-0031.1.

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Surface-wave techniques are mainly used to retrieve 1D subsurface models. However, in 2D environments, the 1D approach usually neglects the presence of lateral variations and because the surface-wave path crosses different materials, the resulting model is a simplified or misleading description of the site. We tested a processing technique to retrieve 2D structures from surface-wave data acquired with a limited number of receivers. Our technique was based on a two-step process. First, we extracted several local dispersion curves along the survey line using a spatial windowing based on a set of

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22

Rahman, Md Saifur, Yosuke Sugiura, and Tetsuya Shimamura. "Utilization of windowing effect and accumulated autocorrelation function and power spectrum for pitch detection in noisy environments." IEEJ Transactions on Electrical and Electronic Engineering 15, no. 11 (September 7, 2020): 1681–90. http://dx.doi.org/10.1002/tee.23238.

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23

Aucott, Lorna S., Stephen T. Buckland, Paul H. Garthwaite, Ian M. Nevison, and Ian Murray. "Windowing technique for determining the composition of organic samples by near-infrared reflectance." Analyst 117, no. 6 (1992): 947. http://dx.doi.org/10.1039/an9921700947.

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24

Pita, Antonio, Francisco J. Rodriguez, and Juan M. Navarro. "Cluster Analysis of Urban Acoustic Environments on Barcelona Sensor Network Data." International Journal of Environmental Research and Public Health 18, no. 16 (August 4, 2021): 8271. http://dx.doi.org/10.3390/ijerph18168271.

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As cities grow in size and number of inhabitants, continuous monitoring of the environmental impact of sound sources becomes essential for the assessment of the urban acoustic environments. This requires the use of management systems that should be fed with large amounts of data captured by acoustic sensors, mostly remote nodes that belong to a wireless acoustic sensor network. These systems help city managers to conduct data-driven analysis and propose action plans in different areas of the city, for instance, to reduce citizens’ exposure to noise. In this paper, unsupervised learning techniq

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25

Lim, Hock, Kah-Chye Tan, and B. T. G. Tan. "Edge errors in inverse and Wiener filter restorations of motion-blurred images and their windowing treatment." CVGIP: Graphical Models and Image Processing 53, no. 2 (March 1991): 186–95. http://dx.doi.org/10.1016/1049-9652(91)90060-w.

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26

Lois, A., F. Kopsaftopoulos, D. Giannopoulos, K. Polychronopoulou, and N. Martakis. "A two-stage procedure for the automated identification of micro-earthquakes: implementation on single-station 3C passive seismic data." Geophysical Journal International 224, no. 3 (November 24, 2020): 1705–23. http://dx.doi.org/10.1093/gji/ggaa558.

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SUMMARY In this paper, we propose a two-step procedure for the automated detection of micro-earthquakes, using single-station, three-component passive seismic data. The first step consists of the computation of an appropriate characteristic function, along with an energy-based thresholding scheme, in order to attain an initial discrimination of the seismic noise from the ‘useful’ information. The three-component data matrix is factorized via the singular value decomposition by means of a properly selected moving window and for each step of the windowing procedure a diagonal matrix containing t

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27

Vedala, Krishnatej, S. M. Amin Motahari, Mohammed Goryawala, Mercedes Cabrerizo, Ilker Yaylali, and Malek Adjouadi. "Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/468269.

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We present a study and application of quasi-stationarity of electroencephalogram for intraoperative neurophysiological monitoring (IONM) and an application of Chebyshev time windowing for preconditioning SSEP trials to retain the morphological characteristics of somatosensory evoked potentials (SSEP). This preconditioning was followed by the application of a principal component analysis (PCA)-based algorithm utilizing quasi-stationarity of EEG on 12 preconditioned trials. This method is shown empirically to be more clinically viable than present day approaches. In all twelve cases, the algorit

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McKay, Helen, Nathan Griffiths, Phillip Taylor, Theo Damoulas, and Zhou Xu. "Bi-directional online transfer learning: a framework." Annals of Telecommunications 75, no. 9-10 (October 2020): 523–47. http://dx.doi.org/10.1007/s12243-020-00776-1.

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Abstract Transfer learning uses knowledge learnt in source domains to aid predictions in a target domain. When source and target domains are online, they are susceptible to concept drift, which may alter the mapping of knowledge between them. Drifts in online environments can make additional information available in each domain, necessitating continuing knowledge transfer both from source to target and vice versa. To address this, we introduce the Bi-directional Online Transfer Learning (BOTL) framework, which uses knowledge learnt in each online domain to aid predictions in others. We introdu

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29

Mahajan, Ajay, and Fernando Figueroa. "Intelligent seam tracking using ultrasonic sensors for robotic welding." Robotica 15, no. 3 (May 1997): 275–81. http://dx.doi.org/10.1017/s0263574797000313.

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This paper presents a novel approach for seam tracking using ultrasonics. An ultrasonic seam tracking system has been developed for robotic welding which tracks a seam that curves freely on a two-dimensional surface. The seam is detected by scanning the area ahead of the torch and monitoring the amplitude of the waves received after reflection from the workpiece surface. Scanning is accomplished by using two ultrasonic sensors (a transmitter and a receiver) mounted on a stepper motor such that the transmitter angle is the same as the receiver angle. The motor is mounted on the end-effector jus

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30

Spinsante, Susanna, Alberto Angelici, Jens Lundström, Macarena Espinilla, Ian Cleland, and Christopher Nugent. "A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace." Mobile Information Systems 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/5126816.

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This paper addresses approaches to Human Activity Recognition (HAR) with the aim of monitoring the physical activity of people in the workplace, by means of a smartphone application exploiting the available on-board accelerometer sensor. In fact, HAR via a smartphone or wearable sensor can provide important information regarding the level of daily physical activity, especially in situations where a sedentary behavior usually occurs, like in modern workplace environments. Increased sitting time is significantly associated with severe health diseases, and the workplace is an appropriate interven

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31

Nafisah, Syifaun, Oyas Wahyunggoro, and Lukito Edi Nugroho. "THE COMPARATIVE PERFORMANCE EVALUATION OF WINDOW FUNCTIONS UNDER NOISY ENVIRONMENT FOR SPEECH RECOGNITION." Jurnal Teknologi 78, no. 5-7 (May 19, 2016). http://dx.doi.org/10.11113/jt.v78.8690.

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The accuracy and user acceptance of speech recognition systems is increasing in the last few years especially for automated identification and biomedical applications. In implementation, it works based on the feature of utterance that will be recognized through a feature extraction process. One process in feature extraction is windowing that is done for minimizing the disruptions at the first and last of the frame. Basically, many window functions exist such as rectangular window, flat top window, hamming window, etc, but in the real application only hamming or Hanning function that are usuall

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32

Hare, Brian M., Harald Edens, Paul Krehbiel, William Rison, O. Scholten, S. Buitink, A. Corstanje, et al. "Timing Calibration and Windowing Technique Comparison for Lightning Mapping Arrays." Earth and Space Science 8, no. 7 (July 2021). http://dx.doi.org/10.1029/2020ea001523.

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33

Bhandari, Ashish Kumar, Deepak Kumar, and Anil Kumar. "Intrascale windowing-based cuckoo search–optimized sub-band thresholding for satellite image denoising." Arabian Journal of Geosciences 13, no. 16 (August 2020). http://dx.doi.org/10.1007/s12517-020-05798-6.

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34

Pondicherry, Rasik, Marc C. Besch, Arvind Thiruvengadam, and Daniel Carder. "A Vehicle Activity-Based Windowing Approach to Evaluate Real-World NOx Emissions from Modern Heavy-Duty Diesel Trucks." Atmospheric Environment, December 2020, 118169. http://dx.doi.org/10.1016/j.atmosenv.2020.118169.

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Colquhoun, Douglas A., Ryan P. Davis, Theodore T. Tremper, Jenny J. Mace, Jan M. Gombert, William D. Sheldon, Joseph J. Connolly, Justin F. Adams, and Kevin K. Tremper. "Design of a novel multifunction decision support/alerting system for in-patient acute care, ICU and floor (AlertWatch AC)." BMC Anesthesiology 21, no. 1 (July 24, 2021). http://dx.doi.org/10.1186/s12871-021-01411-9.

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Abstract Background Multifunction surveillance alerting systems have been found to be beneficial for the operating room and labor and delivery. This paper describes a similar system developed for in-hospital acute care environments, AlertWatch Acute Care (AWAC). Results A decision support surveillance system has been developed which extracts comprehensive electronic health record (EHR) data including live data from physiologic monitors and ventilators and incorporates them into an integrated organ icon-based patient display. Live data retrieved from the hospitals network are processed by prese

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