UNLOC: Optimal Unfolding Localization from Noisy Distance Data

2018 ◽  
Vol 17 (2) ◽  
pp. 183-195
Author(s):  
Jie Sun ◽  
Tianqi Yang ◽  
Kevin V. Mack ◽  
Mahesh K. Banavar
Keyword(s):  
Author(s):  
Muhammad Ghifari Arfananda ◽  
◽  
Surya Michrandi Nasution ◽  
Casi Setianingsih ◽  
◽  
...  

The rapid development of information and technology, the city of Bandung tourism has also increased. However, tourists who visit the city of Bandung have problems with a limited time when visiting Bandung tourist attractions. Traffic congestion, distance, and the number of tourist destinations are the problems for tourists travel. The optimal route selection is the solution for those problems. Congestion and distance data are processed using the Simple Additive Weighting (SAW) method. Route selection uses the Floyd-Warshall Algorithm. In this study, the selection of the best route gets the smallest weight with a value of 5.127 from the Algorithm process. Based on testing, from two to five tourist attractions get an average calculation time of 3 to 5 seconds. This application is expected to provide optimal solutions for tourists in the selection of tourist travel routes.


2014 ◽  
Vol 5 (10) ◽  
pp. 1116-1120 ◽  
Author(s):  
Paul Galpern ◽  
Pedro R. Peres-Neto ◽  
Jean Polfus ◽  
Micheline Manseau

2005 ◽  
Vol 295-296 ◽  
pp. 239-244
Author(s):  
K.D. Yue ◽  
X. Zhou ◽  
J. Gao

Many monitoring methods for dam safety have been proposed in recent years but it is difficult to monitor the arch dam automatically. A novel inspecting method for arch dam safety monitoring is described in this paper. This measurement system is based on the principle of transmitting the comparative displacement one by one. The error and accuracy of the system is analyzed. By this method, a large arch dam can be measured automatically. Long distance data transmission system using CAN bus and Internet is established. It is convenient to monitor the safety of dams from long distances.


2010 ◽  
Vol 62 (5) ◽  
pp. 1013-1021 ◽  
Author(s):  
N. Branisavljević ◽  
D. Prodanović ◽  
D. Pavlović

Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will present the overall framework for the data quality improvement system, suitable for automatic, semi-automatic or manual operation. The first two steps of the validation process are explained in more detail, using several validation methods on the same set of real-case data from the Belgrade sewer system. The final part of the validation process, which is the scores interpretation, needs to be further investigated on the developed system.


1992 ◽  
Vol 24 (2) ◽  
pp. 289-304 ◽  
Author(s):  
P J Densham ◽  
G Rushton

Solution techniques for location-allocation problems usually are not a part of microcomputer-based geoprocessing systems because of the large volumes of data to process and store and the complexity of algorithms. In this paper, it is shown that processing costs for the most accurate, heuristic, location-allocation algorithm can be drastically reduced by exploiting the spatial structure of location-allocation problems. The strategies used, preprocessing interpoint distance data as both candidate and demand strings, and use of them to update an allocation table, allow the solution of large problems (3000 nodes) in a microcomputer-based, interactive decisionmaking environment. Moreover, these strategies yield solution times which increase approximately linearly with problem size. Tests on four network problems validate these claims.


2008 ◽  
Vol 35 (4) ◽  
pp. 275 ◽  
Author(s):  
Rachel M. Fewster ◽  
Colin Southwell ◽  
David L. Borchers ◽  
Stephen T. Buckland ◽  
Anthony R. Pople

Line-transect distance sampling is a widely used method for estimating animal density from aerial surveys. Analysis of line-transect distance data usually relies on a requirement that the statistical distribution of distances of animal groups from the transect line is uniform. We show that this requirement is satisfied by the survey design if all other assumptions of distance sampling hold, but it can be violated by consistent survey problems such as responsive movement of the animals towards or away from the observer. We hypothesise that problems with the uniform requirement are unlikely to be encountered for immobile taxa, but might become substantial for species of high mobility. We test evidence for non-uniformity using double-observer distance data from two aerial surveys of five species with a spectrum of mobility capabilities and tendencies. No clear evidence against uniformity was found for crabeater seals or emperor penguins on the pack-ice in East Antarctica, while minor non-uniformity consistent with responsive movement up to 30 m was found for Adelie penguins. Strong evidence of either non-uniformity or a failure of the capture–recapture validating method was found for eastern grey kangaroos and red kangaroos in Queensland.


Geophysics ◽  
1985 ◽  
Vol 50 (9) ◽  
pp. 1500-1501
Author(s):  
B. N. P. Agarwal ◽  
D. Sita Ramaiah

Bhimasankaram et al. (1977) used Fourier spectrum analysis for a direct approach to the interpretation of gravity anomaly over a finite inclined dike. They derived several equations from the real and imaginary components and from the amplitude and phase spectra to relate various parameters of the dike. Because the width 2b of the dike (Figure 1) appears only in sin (ωb) term—ω being the angular frequency—they determined its value from the minima/zeroes of the amplitude spectra. The theoretical Fourier spectrum uses gravity field data over an infinite distance (length), whereas field observations are available only for a limited distance. Thus, a set of observational data is viewed as a product of infinite‐distance data with an appropriate window function. Usually, a rectangular window of appropriate distance (width) and of unit magnitude is chosen for this purpose. The Fourier transform of the finite‐distance and discrete data is thus represented by convolution operations between Fourier transforms of the infinite‐distance data, the window function, and the comb function. The combined effect gives a smooth, weighted average spectrum. Thus, the Fourier transform of actual observed data may differ substantially from theoretic data. The differences are apparent for low‐ and high‐frequency ranges. As a result, the minima of the amplitude spectra may change considerably, thereby rendering the estimate of the width of the dike unreliable from the roots of the equation sin (ωb) = 0.


2008 ◽  
Vol 89 (4) ◽  
pp. 631-639
Author(s):  
Ruth Ann Belknap

Although studies have identified the importance of the mother–daughter relationship and of familism in Mexican culture, there is little in the literature about the mother–daughter experience after daughters have migrated to the United States. This study explores relationships between three daughters in America and their mothers in Mexico, and describes ways in which interdependence between mothers and daughters can be maintained when they are separated by borders and distance. Data collection included prolonged engagement with participants, field notes, and tape-recorded interviews. Narrative analysis techniques were used. Findings suggest mother–daughter interdependence remains. Some aspects may change, but the mother–daughter connection continues to influence lives and provide emotional and, to a lesser extent, material support in their lives.


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