Cell tower locations are not publicly available due to business interests of wireless providers. Very often wireless providers provide exaggerated coverage maps that may mislead the public. In addition to providing a ...
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ISBN:
(纸本)9780738113302
Cell tower locations are not publicly available due to business interests of wireless providers. Very often wireless providers provide exaggerated coverage maps that may mislead the public. In addition to providing a neutral check on the coverage maps, prediction of cell tower locations hosting multiple operators' access nodes could also be helpful in disaster communications and public safety in general. The localization of the disaster-affected towers can be very conducive to respond and reach to the victims. Further, victims' devices could utilize this knowledge to initiate device-to-device (D2D) or unmanned aerial vehicular (UAV) communications as alternatives to the damaged cellular infrastructure. Publicly available crowdsourced cell (base station) locations and FCC's sites can be used to predict the cell tower/site locations in the United States. In this work, we utilized a weighted k-means algorithm to predict cell tower locations from OpenCellid crowdsourced dataset and implemented a mapping algorithm to locate nearest physical towers. We map the predicted towers to two different sources of physical towers. Our comparison shows a significant accuracy in predicting tower locations regardless of sources of physical towers. The technique can be used to predict the tower locations in other countries as well.
Simulation is the most common approach to evaluate Network on Chip (NoC) designs and many simulators at different abstraction levels have been developed so far. However, researchers have to spend a considerable amount...
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ISBN:
(纸本)9781450342629
Simulation is the most common approach to evaluate Network on Chip (NoC) designs and many simulators at different abstraction levels have been developed so far. However, researchers have to spend a considerable amount of time and effort to debug, analyze, and extract meaningful information from the simulator reports. In this work, we propose a full-system visualization framework, called VisualNoC, that support both network simulation and task mapping. VisualNoC operates in a cycle-accurate mode and is based on an event-based trace model which can record the behaviors of routers, processing elements and packets. The visualization interface can provide efficient debugging and analysis platform by representing the simulation process and results in a variety of ways. One of the main features of VisualNoC is providing an intuitive way of analyzing the efficiency of different mapping algorithms that helps in finding bottlenecks and optimizing the design.
Multi-server infrastructure is often used to enhance the scalability of Distributed Virtual Environment (DYE) systems. Under this infrastructure, assigning all clients to proper servers, also referred to as the mappin...
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ISBN:
(纸本)9781467391948
Multi-server infrastructure is often used to enhance the scalability of Distributed Virtual Environment (DYE) systems. Under this infrastructure, assigning all clients to proper servers, also referred to as the mapping problem, is a key issue as it affects the overall system performance and the interactive experience of the participants. Most traditional mapping methods consider the load balancing problem or the communication delay between clients and servers, but ignore the influence of the virtual world integrity in the mapping process. In this study, we propose a novel dynamic mapping algorithm which can keep the connectedness of all regions in the virtual world and effectively maintain its integrity. Simulation results show that our algorithm greatly decreases the costs of DVE systems for migration of clients and improves the users' degree of satisfaction.
In practical data mining tasks, high-dimensional data has to be analyzed. In most of the cases it is very informative to map and visualize the hidden structure of a complex data set in a low-dimensional space. In this...
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Temporal Coarse-Grained Reconfigurable Architecture (CGRA) is a typical category of CGRA that supports single-cycle context switching and time-multiplexing hardware resources to perform both spatial and temporal compu...
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Soft matter with hyperelastic behavior may be harnessed for novel applications. However, it is not achievable if the mechanical behaviors of soft matter are not well understood. At present, various traditional extenso...
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Soft matter with hyperelastic behavior may be harnessed for novel applications. However, it is not achievable if the mechanical behaviors of soft matter are not well understood. At present, various traditional extensometers have been used to measure the engineering strain of materials to determine the mechanical properties. The basic assumption of extensometers is that the strain is assumed to be uniform over the gage length. However, this assumption does not hold good in case of experimental specimens having significant nonuniform strain distribution, for example, tensile tests on notched specimens or materials that undergo localized deformations. Hence, it is imperative to adopt a new method which enables us to capture the actual strain field on the surface of a material. Digital image correlation (DIC) technique is an adequate approach that has been widely used in many fields of science and engineering. In this paper, we have presented a mapping algorithm for hyperelastic materials, translating the strain field provided by DIC to the stress field based on continuum mechanics. It overcomes the limitation of extensometers and captures the real stress field for such materials. This method will not only improve the measuring accuracy of stress and strain fields in current experiments, but also greatly promote the study of the localized characteristic for nonlinear and inhomogeneous materials.
Purpose To develop a mapping algorithm for generating EQ-5D-3L utility scores from the PedsQL Generic Core Scales (PedsQL GCS) in patients with transfusion-dependent thalassemia (TDT). Methods The algorithm was develo...
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Purpose To develop a mapping algorithm for generating EQ-5D-3L utility scores from the PedsQL Generic Core Scales (PedsQL GCS) in patients with transfusion-dependent thalassemia (TDT). Methods The algorithm was developed using data from 345 TDT patients. Spearman's rank correlation was used to evaluate the conceptual overlap between the instruments. Model specifications were chosen using a stepwise regression. Both direct and response mapping methods were attempted. Six mapping estimation methods ordinary least squares (OLS), a log-transformed response using OLS, generalized linear model (GLM), two-part model (TPM), Tobit and multinomial logistic regression (MLOGIT) were tested to determine the root mean squared error (RMSE) and mean absolute error (MAE). Other criterion used were accuracy of the predicted utility score, proportions of absolute differences that was less than 0.03 and intraclass correlation coefficient. An in-sample, leave-one-out cross validation was conducted to test the generalizability of each model. Results The best performing model was specified with three out of the four PedsQL GCS scales-the physical, emotional and social functioning score. The best performing estimation method for direct mapping was a GLM with a RMSE of 0.1273 and MAE of 0.1016, while the best estimation method for response mapping was the MLOGIT with a RMSE of 0.1597 and MAE of 0.0826. Conclusion The mapping algorithm developed using the GLM would facilitate the calculation of utility scores to inform economic evaluations for TDT patients when EQ-5D data is not available. However, caution should be exercised when using this algorithm in patients who have poor quality of life.
This paper presents a study on a virtual simulation system for master-slave teaching of a spraying robot. Firstly, by studying the present situation at home and abroad, the importance of virtual simulation system is s...
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ISBN:
(纸本)9781728116976
This paper presents a study on a virtual simulation system for master-slave teaching of a spraying robot. Firstly, by studying the present situation at home and abroad, the importance of virtual simulation system is shown. Then according to the characteristics of spraying robot master-slave teaching, the structure of the system is established. After the requirement analysis and function analysis of the virtual system, the framework of the virtual simulation system is established. In order to realize the function of master-slave teaching, the kinematics analysis of master and slave manipulator and the determination of master-slave mapping algorithm are carried out. And the position information collected by the master manipulator is smoothed. Through the above work, the master-slave teaching virtual simulation system is established, and the effectiveness of the system is verified by practical operation. Therefore, the virtual simulation system for master-slave teaching of a spraying robot is effective and feasible.
Objective The objective of this study was to develop algorithms to map the EORTC QLQ-C30 (QLQ-C30) onto EQ-5D-5L in a sample of patients with lymphomas. Methods An online nationwide survey of patients with lymphoma wa...
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Objective The objective of this study was to develop algorithms to map the EORTC QLQ-C30 (QLQ-C30) onto EQ-5D-5L in a sample of patients with lymphomas. Methods An online nationwide survey of patients with lymphoma was carried out in China. Ordinary least squares (OLS), beta-based mixture, adjusted limited dependent variable mixture regression, and a Tobit regression model were used to develop the mapping algorithms. The QLQ-C30 subscales/items, their squared and interaction terms, and respondents' demographic variables were used as independent variables. The root mean square error (RMSE), mean absolute error (MAE), and R-squared (R-2) were estimated based on tenfold cross-validation to assess the predictive ability of the selected models. Results Data of 2222/4068 respondents who self-completed the online survey were elicited for analyses. The mean EQ-5D-5L index score was 0.81 (SD0.21, range - 0.81-1.0). 19.98% of respondents reported an index score at 1.0. In total, 72 models were generated based on four regression methods. According to the RMSE, MAE andR(2), the OLS model including QLQ-C30 subscales, squared terms, interaction terms, and demographic variables showed the best fit for overall and the Non-Hodgkin's lymphoma sample;for Hodgkin's lymphoma, the ALDVMM with 1-component model, including QLQ-C30 subscales, squared terms, interaction terms, and demographic variables, showed a better fit than the other models. Conclusion The mapping algorithms enable the EQ-5D-5L index scores to be predicted by QLQ-C30 subscale/item scores with good precision in patients living with lymphomas.
This paper proposes a latency-aware task mapping algorithm called 3D-AMAP for 3D mesh-based NoCs with partially-filled TSVs. The 3D-AMAP algorithm divides communications of a given application graph into Low-volume (L...
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ISBN:
(纸本)9781509060580
This paper proposes a latency-aware task mapping algorithm called 3D-AMAP for 3D mesh-based NoCs with partially-filled TSVs. The 3D-AMAP algorithm divides communications of a given application graph into Low-volume (LV) and High-Volume (HV) communications. The 3D-AMAP algorithm bypasses the LV communications to partition the given application graph to some subgraphs. Then, 3D-AMAP algorithm fairly assigns 4-neighbor cores of the mesh topology between the high traffic rate tasks of the application graph to reach the best mapping. The proposed mapping algorithm maps application subgraphs one by one based on their total intra communications considering where the vertical channels are located in the network. Evaluations of the 3D-AMAP mapping algorithm are done in a wide range of working conditions using Access Noxim NoC simulator in terms of network latency. Results show that 3D-AMAP algorithm offers at least 5% and at most 76% in network latencywith respect to NMAP algorithm.
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