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Journal articles on the topic 'Time window'

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Published: 4 June 2021
Last updated: 3 February 2022

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1

Heintzel, Alexander. "Time Window." MTZ worldwide 76, no. 12 (November 2015): 3. http://dx.doi.org/10.1007/s38313-015-0075-x.

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2

Heintzel, Alexander. "Time Window." ATZ worldwide 117, no. 12 (November 28, 2015): 3. http://dx.doi.org/10.1007/s38311-015-0080-3.

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3

Szyper, M. "Time domain window." Electronics Letters 31, no. 9 (1995): 707. http://dx.doi.org/10.1049/el:19950494.

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4

Hoogeboom, Maaike, Yossiri Adulyasak, Wout Dullaert, and Patrick Jaillet. "The Robust Vehicle Routing Problem with Time Window Assignments." Transportation Science 55, no. 2 (March 2021): 395–413. http://dx.doi.org/10.1287/trsc.2020.1013.

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In practice, there are several applications in which logistics service providers determine the service time windows at the customers, for example, in parcel delivery, retail, and repair services. These companies face uncertain travel times and service times that have to be taken into account when determining the time windows and routes prior to departure. The objective of the proposed robust vehicle routing problem with time window assignments (RVRP-TWA) is to simultaneously determine routes and time window assignments such that the expected travel time and the risk of violating the time windows are minimized. We assume that the travel time probability distributions are not completely known but that some statistics, such as the mean, minimum, and maximum, can be estimated. We extend the robust framework based on the requirements’ violation index, which was originally developed for the case where the specific requirements (time windows) are given as inputs, to the case where they are also part of the decisions. The subproblem of finding the optimal time window assignment for the customers in a given route is shown to be convex, and the subgradients can be derived. The RVRP-TWA is solved by iteratively generating subgradient cuts from the subproblem that are added in a branch-and-cut fashion. Experiments address the performance of the proposed solution approach and examine the trade-off between expected travel time and risk of violating the time windows.
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5

Fu, Fengjie, Dongfang Ma, Dianhai Wang, and Wei Qian. "An Optimization Method of Time Window Based on Travel Time and Reliability." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/921480.

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The dynamic change of urban road travel time was analyzed using video image detector data, and it showed cyclic variation, so the signal cycle length at the upstream intersection was conducted as the basic unit of time window; there was some evidence of bimodality in the actual travel time distributions; therefore, the fitting parameters of the travel time bimodal distribution were estimated using the EM algorithm. Then the weighted average value of the two means was indicated as the travel time estimation value, and the Modified Buffer Time Index (MBIT) was expressed as travel time variability; based on the characteristics of travel time change and MBIT along with different time windows, the time window was optimized dynamically for minimum MBIT, requiring that the travel time change be lower than the threshold value and traffic incidents can be detected real time; finally, travel times on Shandong Road in Qingdao were estimated every 10 s, 120 s, optimal time windows, and 480 s and the comparisons demonstrated that travel time estimation in optimal time windows can exactly and steadily reflect the real-time traffic. It verifies the effectiveness of the optimization method.
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van Leyen, Klaus, Xiaoying Wang, Magdy Selim, and Eng H. Lo. "Opening the time window." Journal of Cerebral Blood Flow & Metabolism 39, no. 12 (October 14, 2019): 2539–40. http://dx.doi.org/10.1177/0271678x19882782.

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The recently completed EXTEND trial tested the idea that tissue plasminogen activator thrombolysis can be safely extended up to 9 h after stroke onset if automated perfusion imaging indicates the presence of a salvageable penumbra. This important trial contributes to an ongoing paradigm shift for stroke therapy. Combined with the introduction of endovascular therapy, image-guided patient selection is expanding the toolbox of the stroke practitioner. At the same time, pushing the limits of reperfusion has raised important questions about mechanisms to pursue for combination therapy as well as potential approaches to mitigate side effects and optimize treatments for patients with various co-morbidities.
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Vasile, Cristian-Ioan, Derya Aksaray, and Calin Belta. "Time window temporal logic." Theoretical Computer Science 691 (August 2017): 27–54. http://dx.doi.org/10.1016/j.tcs.2017.07.012.

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8

Morowitz, Harold J. "A Window in Time." Hospital Practice 24, no. 6 (June 15, 1989): 279–80. http://dx.doi.org/10.1080/21548331.1989.11703738.

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9

Ďurica, Pavol, Mária Ďuriníková, Ján Rybárik, and Daniela Štaffenová. "Long Time Testing of Temperature Parameters in Selected Windows." Advanced Materials Research 855 (December 2013): 81–84. http://dx.doi.org/10.4028/www.scientific.net/amr.855.81.

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The article presents the partial knowledge of the area of building physics. The goal is to evaluate the measured data of the temperatures of three window constructions from different material and glass systems. The measurements are made at different places of window friezes and glazing and they run continuously throughout the year. These windows are suitable for low-energy buildings.
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10

Gürsakal, Necmi, Fırat Melih Yilmaz, and Erginbay Uğurlu:. "Finding opportunity windows in time series data using the sliding window technique: The case of stock exchanges." Econometrics 24, no. 3 (2020): 1–19. http://dx.doi.org/10.15611/eada.2020.3.01.

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Data have shapes, and human intelligence and perception have to classify the forms of data to understand and interpret them. This article uses a sliding window technique and the main aim is to answer two questions. Is there an opportunity window in time series of stock exchange index? The second question is how to find a way to use the opportunity window if there is one. The authors defined the term opportunity window as a window that is generated in the sliding window technique and can be used for forecasting. In analysis, the study determined the different frequencies and explained how to evaluate opportunity windows embedded using time series data for the S&P 500, the DJIA, and the Russell 2000 indices. As a result, for the S&P 500 the last days of the patterns 0111, 1100, 0011; for the DJIA the last days of the patterns 0101, 1001, 0011; and finally for the Russell 2000, the last days of the patterns 0100, 1001, 1100 are opportunity windows for prediction
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11

Lee, Judy P., and Melvin B. Comisarow. "Advantageous Apodization Functions for Absorption-Mode Fourier Transform Spectroscopy." Applied Spectroscopy 43, no. 4 (May 1989): 599–604. http://dx.doi.org/10.1366/0003702894202517.

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A systematic examination of the efficacy of window functions for reduction of the spectral skirt of absorption-mode Fourier transform spectra is reported. A window which has its maximum at the beginning and its minimum at the end of the time-domain data gives a satisfactory absorption line shape. In contrast, a symmetrical window with its minima at the ends and its maximum in the middle gives an unsatisfactory absorption line shape. These symmetrical windows are satisfactory for apodization of magnitude spectra. The efficacy for reducing the spectral skirt is examined for the general case of a damped time-domain signal, with specific cases ranging from undamped to essentially completely damped signals. The choice of the window is dependent upon the required dynamic range and the amount of damping in the time-domain data. For a dynamic range of 100:1, the Noest-Kort absorption window and the Norton-Beer F3 windows are the windows of choice. For a dynamic range of 1000:1, either the Filler E0.20 window or the Kaiser-Bessel window can be recommended. The sensitivity change accruing from windowing is reported for all windows examined, for a damping range from zero to essentially complete damping
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12

Lee, Judy P., and Melvin B. Comisarow. "Advantageous Apodization Functions for Magnitude-Mode Fourier Transform Spectroscopy." Applied Spectroscopy 41, no. 1 (January 1987): 93–98. http://dx.doi.org/10.1366/0003702874868016.

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A systematic examination of the efficacy of window functions for reducing the spectral skirt of magnitude-mode Fourier transform spectra is reported. The efficacy is examined for the general case of a damped time-domain signal, with specific cases ranging from undamped to essentially completely damped signals. The choice of the optimal window is dependent upon the required dynamic range and the amount of damping in the time-domain data. For a dynamic range of less than 100:1 and moderate damping, the Hamming window is the window of choice. For larger dynamic ranges or greater damping, the 3-term Blackman-Harris window and the Kaiser-Bessel window are the windows of choice. The 3-term Blackman-Harris window is preferred for a dynamic range of 1,000:1 and the Kaiser-Bessel window is preferred for a dynamic range of 10,000:1. The sensitivity (signal-to-noise ratio) reduction for windows is reported for a damping range from zero to essentially complete damping. All windows examined have the same sensitivity reduction within 25%.
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13

Wu, Yu-Bin, and Ping Ji. "Due-Window Assignment Scheduling with Variable Job Processing Times." Scientific World Journal 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/740750.

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We consider a common due-window assignment scheduling problem jobs with variable job processing times on a single machine, where the processing time of a job is a function of its position in a sequence (i.e., learning effect) or its starting time (i.e., deteriorating effect). The problem is to determine the optimal due-windows, and the processing sequence simultaneously to minimize a cost function includes earliness, tardiness, the window location, window size, and weighted number of tardy jobs. We prove that the problem can be solved in polynomial time.
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14

Johnson, Deanne F. "The time window of feeding." Appetite 17, no. 1 (August 1991): 70–71. http://dx.doi.org/10.1016/0195-6663(91)90086-8.

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15

Collier, George, and Deanne F. Johnson. "The time window of feeding." Physiology & Behavior 48, no. 6 (December 1990): 771–77. http://dx.doi.org/10.1016/0031-9384(90)90225-s.

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16

Dunne, John F. "Time window analysis and sorting." Cytometry 12, no. 7 (1991): 597–601. http://dx.doi.org/10.1002/cyto.990120703.

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17

Lal, Devesh Kumar, and Ugrasen Suman. "SBASH Stack Based Allocation of Sheer Window Architecture for Real Time Stream Data Processing." International Journal of Data Analytics 1, no. 1 (January 2020): 1–21. http://dx.doi.org/10.4018/ijda.2020010101.

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The processing of real-time data streams is complex with large number of volume and variety. The volume and variety of data streams enhances a number of processing units to run in real time. The required number of processing units used for processing data streams are lowered by using a windowing mechanism. Therefore, the appropriate size of window selection is vital for stream data processing. The coarse size window will directly affect the overall processing time. On the other hand, a finely sized window has to deal with an increased number of management costs. In order to manage such streams of data, we have proposed a SBASH architecture, which can be helpful for determining a unipartite size of a sheer window. The sheer window reduces the overall latency of data stream processing by a certain extent. The time complexity to process such sheer window is equivalent to w log n w. These windows are allocated and retrieved in a stack-based manner, where stacks ≥ n, which is helpful in reducing the number of comparisons made during retrieval.
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18

Kriss, A. B., P. A. Paul, and L. V. Madden. "Relationship Between Yearly Fluctuations in Fusarium Head Blight Intensity and Environmental Variables: A Window-Pane Analysis." Phytopathology® 100, no. 8 (August 2010): 784–97. http://dx.doi.org/10.1094/phyto-100-8-0784.

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Window-pane methodology was used to determine the length and starting time of temporal windows where environmental variables were associated with annual fluctuations of Fusarium head blight (FHB) intensity in wheat. Initial analysis involved FHB intensity observations for Ohio (44 years), with additional analyses for Indiana (36 years), Kansas (28 years), and North Dakota (23 years). Selected window lengths of 10 to 280 days were evaluated, with starting times from approximate crop maturity back to the approximate time of planting. Associations were quantified with Spearman rank correlation coefficients. Significance for a given variable (for any window starting time in a collection of starting times) was declared using the Simes' multiplicity adjustment; at individual time windows, significant correlations were declared when the individual (unadjusted) P values were <0.005. In all states, moisture- or wetness-related variables (e.g., daily average relative humidity [RH] and total daily precipitation) were found to be positively correlated with FHB intensity for multiple window lengths and starting times; however, the highest correlations were primarily for shorter-length windows (especially 15 and 30 days) at similar starting times during the final 60 days of the growing season, particularly near the time of anthesis. This period encompasses spore production, dispersal, and fungal colonization of wheat spikes. There was no evidence of significant correlations between FHB and temperature-only variables for any time window; however, variables that combined aspects of moisture or wetness with temperature (e.g., duration of temperature between 15 and 30°C and RH ≥ 80%) were positively correlated with FHB intensity. Results confirm that the intensity of FHB in a region depends, at least in part, on environmental conditions during relatively short, critical time periods for epidemic development.
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19

Li, Manman, Jian Lu, and Wenxin Ma. "A Hybrid Multi-objective Genetic Algorithm for Bi-objective Time Window Assignment Vehicle Routing Problem." PROMET - Traffic&Transportation 31, no. 5 (October 18, 2019): 513–25. http://dx.doi.org/10.7307/ptt.v31i5.3057.

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Providing a satisfying delivery service is an important way to maintain the customers’ loyalty and further expand profits for manufacturers and logistics providers. Considering customers’ preferences for time windows, a bi-objective time window assignment vehicle routing problem has been introduced to maximize the total customers’ satisfaction level for assigned time windows and minimize the expected delivery cost. The paper designs a hybrid multi-objective genetic algorithm for the problem that incorporates modified stochastic nearest neighbour and insertion-based local search. Computational results show the positive effect of the hybridization and satisfactory performance of the metaheuristics. Moreover, the impacts of three characteristics are analysed including customer distribution, the number of preferred time windows per customer and customers’ preference type for time windows. Finally, one of its extended problems, the bi-objective time window assignment vehicle routing problem with time-dependent travel times has been primarily studied.
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20

Pawlas, Zbyněk, Lev B. Klebanov, Martin Prokop, and Petr Lansky. "Parameters of Spike Trains Observed in a Short Time Window." Neural Computation 20, no. 5 (May 2008): 1325–43. http://dx.doi.org/10.1162/neco.2007.01-07-442.

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We study the estimation of statistical moments of interspike intervals based on observation of spike counts in many independent short time windows. This scenario corresponds to the situation in which a target neuron occurs. It receives information from many neurons and has to respond within a short time interval. The precision of the estimation procedures is examined. As the model for neuronal activity, two examples of stationary point processes are considered: renewal process and doubly stochastic Poisson process. Both moment and maximum likelihood estimators are investigated. Not only the mean but also the coefficient of variation is estimated. In accordance with our expectations, numerical studies confirm that the estimation of mean interspike interval is more reliable than the estimation of coefficient of variation. The error of estimation increases with increasing mean interspike interval, which is equivalent to decreasing the size of window (less events are observed in a window) and with decreasing the number of neurons (lower number of windows).
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21

Jin, Yang, and Zhi Yong Hao. "Gaussian Window of Optimal Time-Frequency Resolution in Numerical Implementation of Short-Time Fourier Transform." Applied Mechanics and Materials 48-49 (February 2011): 555–60. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.555.

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In this paper, we report the condition to keep the optimal time-frequency resolution of the Gaussian window in the numerical implementation of the short-time Fourier transform. Because of truncation and discretization, the time-frequency resolution of the discrete Gaussian window is different from that of the proper Gaussian function. We compared the time-frequency resolution performance of the discrete Gaussian window and Hanning window based on that they have the same continuous-time domain standard deviation, and generalized the condition under which the time-frequency resolution of the Gaussian window will prevail over that of the Hanning window.
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22

Reine, Carl, Mirko van der Baan, and Roger Clark. "The robustness of seismic attenuation measurements using fixed- and variable-window time-frequency transforms." GEOPHYSICS 74, no. 2 (March 2009): WA123—WA135. http://dx.doi.org/10.1190/1.3043726.

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Frequency-based methods for measuring seismic attenuation are used commonly in exploration geophysics. To measure the spectrum of a nonstationary seismic signal, different methods are available, including transforms with time windows that are either fixed or systematically varying with the frequency being analyzed. We compare four time-frequency transforms and show that the choice of a fixed- or variable-window transform affects the robustness and accuracy of the resulting attenuation measurements. For fixed-window transforms, we use the short-time Fourier transform and Gabor transform. The S-transform and continuous wavelet transform are analyzed as the variable-length transforms. First we conduct a synthetic transmission experiment, and compare the frequency-dependent scattering attenuation to the theoretically predicted values. From this procedure, we find that variable-window transforms reduce the uncertainty and biasof the resulting attenuation estimate, specifically at the upper and lower ends of the signal bandwidth. Our second experiment measures attenuation from a zero-offset reflection synthetic using a linear regression of spectral ratios. Estimates for constant-[Formula: see text] attenuation obtained with the variable-window transforms depend less on the choice of regression bandwidth, resulting in a more precise attenuation estimate. These results are repeated in our analysis of surface seismic data, whereby we also find that the attenuation measurements made by variable-window transforms have a stronger match to their expected trend with offset. We conclude that time-frequency transforms with a systematically varying time window, such as the S-transform and continuous wavelet transform, allow for more robust estimates of seismic attenuation. Peaks and notches in the measured spectrum are reduced because the analyzed primary signal is better isolated from the coda, and because of high-frequency spectral smoothing implicit in the use of short-analysis windows.
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23

Wang, David, and Yongjun Wang. "Tissue window, not the time window, will guide acute stroke treatment." Stroke and Vascular Neurology 4, no. 1 (February 11, 2019): 1–2. http://dx.doi.org/10.1136/svn-2018-000211.

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Burriel-Valencia, Jordi, Ruben Puche-Panadero, Javier Martinez-Roman, Angel Sapena-Baño, Martin Riera-Guasp, and Manuel Pineda-Sánchez. "Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines." Energies 12, no. 17 (August 31, 2019): 3361. http://dx.doi.org/10.3390/en12173361.

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Induction machines drive many industrial processes and their unexpected failure can cause heavy production losses. The analysis of the current spectrum can identify online the characteristic fault signatures at an early stage, avoiding unexpected breakdowns. Nevertheless, frequency domain analysis requires stable working conditions, which is not the case for wind generators, motors driving varying loads, and so forth. In these cases, an analysis in the time-frequency domain—such as a spectrogram—is required for detecting faults signatures. The spectrogram is built using the short time Fourier transform, but its resolution depends critically on the time window used to generate it—short windows provide good time resolution but poor frequency resolution, just the opposite than long windows. Therefore, the window must be adapted at each time to the shape of the expected fault harmonics, by highly skilled maintenance personnel. In this paper this problem is solved with the design of a new multi-band window, which generates simultaneously many different narrow-band current spectrograms and combines them into as single, high resolution one, without the need of manual adjustments. The proposed method is validated with the diagnosis of bar breakages during the start-up of a commercial induction motor.
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Spliet, Remy, Said Dabia, and Tom Van Woensel. "The Time Window Assignment Vehicle Routing Problem with Time-Dependent Travel Times." Transportation Science 52, no. 2 (March 2018): 261–76. http://dx.doi.org/10.1287/trsc.2016.0705.

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26

Lahlou, C., and S. Dauzère-Pérès. "Single-machine scheduling with time window-dependent processing times." Journal of the Operational Research Society 57, no. 2 (February 2006): 133–39. http://dx.doi.org/10.1057/palgrave.jors.2601931.

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27

No, Sang-Tae, and Jun-Sik Seo. "Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis." Advances in Civil Engineering 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/1780809.

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Currently, global warming is accelerating, and many countries are trying to reduce greenhouse emission by enforcing low energy building. And the thermal performance of the windows is one of the factors that greatly influence the heating and cooling energy consumption of buildings. According to the development of the window system, the thermal performance of the windows is greatly improved. There are simulations and tests for window thermal performance evaluation techniques, but both are time consuming and costly. The purpose of this study is to develop a convenient method of predicting U-value at the window system design stage by multiple linear regression analysis. 532 U-value test results were collected, and window system components were set as independent values. As a result, the number of windows (single or double) among the components of the window has the greatest effect on the U-value. In this research, two regression equations for predicting U-value of window system were suggested, and the estimated standard errors of equations were 0.2569 in single window and 0.2039 in double window.
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28

Cao, Qing Kui, and Qian Zhang. "A Task Conflict Detection Model of Logistics Distribution." Advanced Materials Research 452-453 (January 2012): 736–40. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.736.

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Based on the time window in the vehicle scheduling problem(VSP), we propose the concept of time windows of delivery tasks(TWDT) in the distribution center, and describe the TWDT in a kind of three-tuple. Transferring time windows constraint of multiple tasks to a simple temporal constraint network, we simplify the problem of checking the time constraint of multiple tasks to the problem of checking the temporal constraint network’s consistency. According to the characteristic of delivery task and simple temporal constraint network, we proposed the model of time window conflict checking of delivery task.
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MIŚKIEWICZ, J., and M. AUSLOOS. "AN ATTEMPT TO OBSERVE ECONOMY GLOBALIZATION: THE CROSS CORRELATION DISTANCE EVOLUTION OF THE TOP 19 GDP'S." International Journal of Modern Physics C 17, no. 03 (March 2006): 317–31. http://dx.doi.org/10.1142/s0129183106008480.

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Economy correlations between the 19 richest countries are investigated through their Gross Domestic Product increments. A distance is defined between increment correlation matrix elements and their evolution studied as a function of time and time window size. Unidirectional and Bidirectional Minimal Length Paths are generated and analyzed for different time windows. A sort of critical correlation time window is found indicating a transition for best observations. The mean length path decreases with time, indicating stronger correlations. A new method for estimating a realistic minimal time window to observe correlations and deduce macroeconomy conclusions from such features is thus suggested.
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Medina, Yelena, and Enrique Muñoz. "A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes." Water 12, no. 9 (September 2, 2020): 2463. http://dx.doi.org/10.3390/w12092463.

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Time-varying sensitivity analysis (TVSA) allows sensitivity in a moving window to be estimated and the time periods in which the specific components of a model can affect its performance to be identified. However, one of the disadvantages of TVSA is its high computational cost, as it estimates sensitivity in a moving window within an analyzed series, performing a series of repetitive calculations. In this article a function to implement a simple TVSA with a low computational cost using regional sensitivity analysis is presented. As an example of its application, an analysis of hydrological model results in daily, monthly, and annual time windows is carried out. The results show that the model allows the time sensitivity of a model with respect to its parameters to be detected, making it a suitable tool for the assessment of temporal variability of processes in models that include time series analysis. In addition, it is observed that the size of the moving window can influence the estimated sensitivity; therefore, analysis of different time windows is recommended.
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Abe, Koji. "Therapeutic time window for ischemic stroke." Rinsho Shinkeigaku 51, no. 11 (2011): 1182–84. http://dx.doi.org/10.5692/clinicalneurol.51.1182.

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32

Aoki, Masaru, and Hironori Koyama. "Operation Time Model for Window system." Japanese journal of ergonomics 28, Supplement (1992): 480–81. http://dx.doi.org/10.5100/jje.28.supplement_480.

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Lev, M., and U. Polat. "A time window for temporal facilitation." Journal of Vision 11, no. 11 (September 23, 2011): 1070. http://dx.doi.org/10.1167/11.11.1070.

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Katayama, Yasuo, and Kouichi Otsubo. "Therapeutic Time Window in Ischemic Stroke." Journal of Nippon Medical School 67, no. 2 (2000): 139–42. http://dx.doi.org/10.1272/jnms.67.139.

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Donnan, Geoffrey A., and Stephen M. Davis. "Extending the time window for thrombolysis." International Journal of Stroke 14, no. 5 (July 2019): 449. http://dx.doi.org/10.1177/1747493019862731.

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36

Cakrak, F., and P. J. Loughlin. "Multiple window time-varying spectral analysis." IEEE Transactions on Signal Processing 49, no. 2 (2001): 448–53. http://dx.doi.org/10.1109/78.902129.

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37

Golden, Bruce L., and Arjang A. Assad. "Vehicle Routing with Time-Window Constraints." American Journal of Mathematical and Management Sciences 6, no. 3-4 (February 1986): 251–60. http://dx.doi.org/10.1080/01966324.1986.10737196.

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38

Rovee-Collier, Carolyn, Sharon Evancio, and Linda A. Earley. "The time window hypothesis: Spacing effects." Infant Behavior and Development 18, no. 1 (January 1995): 69–78. http://dx.doi.org/10.1016/0163-6383(95)90008-x.

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39

Chen, Bin, and Hui Meng Zheng. "The Design of Omni-Bearing Translation and Rotary Windows." Advanced Materials Research 580 (October 2012): 130–33. http://dx.doi.org/10.4028/www.scientific.net/amr.580.130.

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In view of many problems of the windows existing in the current market ,to design omni-bearing translation and rotary windows can solve the problems of cleaning the ordinary windows .At the same time, regulating the rotation angle of the windows can change the ventilated area arbitrarily and improve the residential environment .The windows includes five parts: gearing mesh structure, cap button device, window frame guide groove structure, magnetic induction structure and window locked structure.
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Shaikh, Salman Ahmed, Akiyoshi Matono, and Kyoung-Sook Kim. "A Distance-Window Approach for the Continuous Processing of Spatial Data Streams." International Journal of Multimedia Data Engineering and Management 11, no. 2 (April 2020): 16–30. http://dx.doi.org/10.4018/ijmdem.2020040102.

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Real-time and continuous processing of citywide spatial data is an essential requirement of smart cities to guarantee the delivery of basic life necessities to its residents and to maintain law and order. To support real-time continuous processing of data streams, continuous queries (CQs) are used. CQs utilize windows to split the unbounded data streams into finite sets or windows. Existing stream processing engines either support time-based or count-based windows. However, these are not much useful for the spatial streams containing the trajectories of moving objects. Hence, this paper presents a distance-window based approach for the processing of spatial data streams, where the unbounded streams can be split with respect to the trajectory length. Since the window operation involves repeated computation, this work presents two incremental distance-based window approaches to avoid the repetition. A detailed experimental evaluation is presented to prove the effectiveness of the proposed incremental distance-based windows.
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Bilgen, Mehmet, Michael F. Insana, Timothy J. Hall, and Pawan Chaturvedi. "Statistical Analysis of Strain Images Estimated from Overlapped and Filtered Echo Signals." Ultrasonic Imaging 19, no. 3 (July 1997): 209–20. http://dx.doi.org/10.1177/016173469701900304.

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The visibility of soft-tissue lesions in strain imaging is currently limited by strain noise from waveform decorrelation. Attempts to balance noise reduction with concerns for contrast and spatial resolution rely on accurate models of time delay covariance for guidance. The most useful analytical models describe the covariance of time-varying time delay estimates in terms of experimental parameters and tissue deformation patterns. Assuming compressed tissue deforms linearly along the axis of the sound beam, we derived a delay covariance expression for echo data with Gaussian spectra that were filtered by a Gaussian window function before correlation. The Gaussian filter reduced the number of assumptions needed to obtain closed-form expressions and minimized the effects of strain within the correlation window. However, strain images are often made using uniformly weighted (sinc filtered) window functions. This paper compares time delay covariances for these two window functions, and describes an equivalent window duration at which delay variances for Gaussian and uniform windows are equal. At the equivalent window length, the analysis can be used to predict strain errors for either window function. Finally, this paper uses the delay covariance data to show how strain noise and image sharpness vary depending on the amount of overlap between correlation windows. For an applied strain less than 5%, an overlap near 50% offers an adequate compromise. These results can guide the selection of experimental parameters for improving the visibility of lesions in strain images.
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42

Yang, You Dong, Wei Qing Guo, and Xia Xia Hu. "Time Window Constraint Conflict Resolution Algorithm for Collaborative Design Process Scheduling." Advanced Materials Research 102-104 (March 2010): 822–26. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.822.

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Aim at complex relationships among design tasks after task grouping for the collaborative product design process scheduling, the constraint conflicts of the task time windows would be generated in the task scheduling process, and the reasons of constraint conflicts are analyzed. Based on the least waiting times and time, a time window constraint conflict resolution algorithm is put forward, and the high parallel requirement is implemented for the collaborative design process.
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43

Zhao, Chuanli, and Hengyong Tang. "Due-Window Assignment for a Single Machine Scheduling with Both Deterioration and Positional Effects." Asia-Pacific Journal of Operational Research 32, no. 03 (June 2015): 1550014. http://dx.doi.org/10.1142/s0217595915500141.

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This paper considers a single machine scheduling with both deterioration and positional effects and due-window assignment problem. The job-dependent due-windows are obtained by the common flow allowance criterion. The objective is to schedule the jobs, and the due-windows so as to minimize the sum of earliness, tardiness, and due-window starting time and due-window size costs. We introduce a polynomial solution for the problem. Furthermore, we show how the solutions can be extended to the setting with job rejection.
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44

Xu, Xianhao, Tian Liu, Kunpeng Li, and Weihong Dong. "Evaluating order throughput time with variable time window batching." International Journal of Production Research 52, no. 8 (October 23, 2013): 2232–42. http://dx.doi.org/10.1080/00207543.2013.849009.

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45

COLAK, O. H., T. C. DESTICI, S. OZEN, H. ARMAN, and O. CEREZCI. "FREQUENCY-ENERGY VARIABILITY CHARACTERIZATION OF LOCAL REAL-TIME NOISY SEISMIC RECORDS." Fluctuation and Noise Letters 08, no. 01 (March 2008): L31—L39. http://dx.doi.org/10.1142/s0219477508004246.

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In this study, we have presented a new approach to separate noisy components and to characterize frequency-energy variability for local real-time noisy earthquakes where epicentral distance is 0–10°. This approach is based on wavelet transform and deals with energy variations in different frequency bands. All records have been decomposed to approximation and detail components with using overlapping window design and wavelet transform. Energy components of each window were determined and highest energy component has been selected in all windows. When selected energy values have been associated in a vector, two different types of frequency-energy characteristics which include critical points to detect P (longitudinal) and S (transverse) waves have been obtained.
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46

Luo, Cheng Xin, and En Min Feng. "Multiple Common Due-Window Assignment Based on Common Flow Allowance and Resource-Dependent Processing Times." Applied Mechanics and Materials 644-650 (September 2014): 2026–29. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2026.

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This paper studies a multiple common due-window assignment problem on a single machine. The job-dependent due-windows are obtained based on common flow allowance criteria. We assume that the processing time of a job is controllable by the resource amount assigned to it. The objective is to find the optimal size and location of the multiple common due-windows, the set of jobs assigned to each due window, the sequence of jobs and resource allocation scheme to minimize a cost function based on the window size and location, earliness and tardiness of jobs and resource cost. We propose an optimal algorithm to solve the problem.
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47

Feng, Yuming, Junzhi Yu, Chuandong Li, Tingwen Huang, and Hangjun Che. "Linear impulsive control system with impulse time windows." Journal of Vibration and Control 23, no. 1 (August 9, 2016): 111–18. http://dx.doi.org/10.1177/1077546315575465.

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We formulate the linear impulsive control systems with impulse time windows. Different from the most impulsive systems where the impulses occur at fixed time or when the system states hit a certain hyperplane, the impulse time in the presented systems might be uncertain, but limited to a small time interval, i.e. a time window. Compared with the existing impulsive systems, the systems with impulse time windows is of practical importance. We then study the asymptotic stability of the case of linear systems and obtain several stability criteria. Numerical examples are given to verify the effectiveness of the theoretical results.
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48

Zhang, Chuan Long, Jian Lin Mao, Li Xia Fu, and Feng Hong Xiang. "Study on Optimizing the Queuing Theory Based on Car Diagnosis." Advanced Materials Research 1078 (December 2014): 177–82. http://dx.doi.org/10.4028/www.scientific.net/amr.1078.177.

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The queuing problem of car condition diagnosis is belonged to a kind of queue theory. For solving the unreasonable issue of service window configuration while the customer flow is changing with time goes on. Author proposes the dynamic service window configuration algorithm (DSWCA) based on the varying customer flow. Making full use of service windows based on the classification of customer and some reserved windows. The simulation result shows that this algorithm can increase service time and effective throughout, besides the system cost is decreased as well.
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49

Nogueira, Raul G., Diogo C. Haussen, David Liebeskind, Tudor G. Jovin, Rishi Gupta, Ashutov Jadhav, Ron F. Budzik, et al. "Stroke Imaging Selection Modality and Endovascular Therapy Outcomes in the Early and Extended Time Windows." Stroke 52, no. 2 (February 2021): 491–97. http://dx.doi.org/10.1161/strokeaha.120.031685.

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Background and Purpose: Advanced imaging has been increasingly used for patient selection in endovascular stroke therapy. The impact of imaging selection modality on endovascular stroke therapy clinical outcomes in extended time window remains to be defined. We aimed to study this relationship and compare it to that noted in early-treated patients. Methods: Patients from a prospective multicentric registry (n=2008) with occlusions involving the intracranial internal carotid or the M1- or M2-segments of the middle cerebral arteries, premorbid modified Rankin Scale score 0 to 2 and time to treatment 0 to 24 hours were categorized according to treatment times within the early (0–6 hour) or extended (6–24 hour) window as well as imaging modality with noncontrast computed tomography (NCCT)±CT angiography (CTA) or NCCT±CTA and CT perfusion (CTP). The association between imaging modality and 90-day modified Rankin Scale, analyzed in ordinal (modified Rankin Scale shift) and dichotomized (functional independence, modified Rankin Scale score 0–2) manner, was evaluated and compared within and across the extended and early windows. Results: In the early window, 332 patients were selected with NCCT±CTA alone while 373 also underwent CTP. After adjusting for identifiable confounders, there were no significant differences in terms of 90-day functional disability (ordinal shift: adjusted odd ratio [aOR], 0.936 [95% CI, 0.709–1.238], P =0.644) or independence (aOR, 1.178 [95% CI, 0.833–1.666], P =0.355) across the CTP and NCCT±CTA groups. In the extended window, 67 patients were selected with NCCT±CTA alone while 180 also underwent CTP. No significant differences in 90-day functional disability (aOR, 0.983 [95% CI, 0.81–1.662], P =0.949) or independence (aOR, 0.640 [95% CI, 0.318–1.289], P =0.212) were seen across the CTP and NCCT±CTA groups. There was no interaction between the treatment time window (0–6 versus 6–24 hours) and CT selection modality (CTP versus NCCT±CTA) in terms of functional disability at 90 days ( P =0.45). Conclusions: CTP acquisition was not associated with better outcomes in patients treated in the early or extended time windows. While confirmatory data is needed, our data suggests that extended window endovascular stroke therapy may remain beneficial even in the absence of advanced imaging.
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Zhao, Laijun, Xiaoli Wang, Johan Stoeter, Yan Sun, Huiyong Li, Qingmi Hu, and Meichen Li. "Path Optimization Model for Intra-City Express Delivery in Combination with Subway System and Ground Transportation." Sustainability 11, no. 3 (February 1, 2019): 758. http://dx.doi.org/10.3390/su11030758.

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Combined conventional ground transport with a subway system for line-haul transport for intra-city express delivery is a new transportation mode. Subway transportation can be used in the line-haul transportation of intra-city express delivery services to reduce cost, improve efficiency, raise customer satisfaction, and alleviate road congestion and air pollution. To achieve this, we developed a path optimization model (POM) with time windows for intra-city express delivery, which makes use of the subway system. Our model integrated the subway system with ground transportation in order to minimize the total delivery time. It considered the time window requirements of the senders and the recipients, and was constrained by the frequency of trains on the subway line. To solve the POM, we designed a genetic algorithm. The model was tested in a case study of a courier company in Shanghai, China. Meanwhile, based on the basic scenario, the corresponding solutions of the four different scenarios of the model are carried out. Then, we further analyzed the influence of the number of vehicles, the frequency of trains on the subway line, and the client delivery time window on the total delivery time, client time window satisfaction, and courier company costs based on the basic scenario. The results demonstrated that the total delivery time and the total time outside the time window decreased as the number of vehicles increased; the total delivery time and the total time outside the time window decreased as the delivery frequency along the subway line increased; the total delivery time and the total time outside the time window decreased as the sender’s time window increased. However, when the sender’s time window increased beyond a certain threshold, the total delivery time and the total time outside the time window no longer decreased greatly. The case study results can guide courier companies in path optimization for intra-city express delivery vehicles in combination with the subway network.
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