General Tests for Spatial Clustering : Case-Control Point Data

Author(s):  
Toshiro Tango
2013 ◽  
Vol 427-429 ◽  
pp. 1493-1496
Author(s):  
Yan Li ◽  
Xiao He Zhang

Ground control point data is necessary in the aerospace images geometric processing. This study proposed the design solutions for the ground control point image databases. At first, this study compared the storage management manners of the control point data. Then, it analyzed the control point image data features. Accordingly, it mentioned the database storage solutions. Next, this study discussed the image control point database query methods. Finally, it designed a ground control point image database management and application system. The experiments show that it is an effective method for the control point image database.


2019 ◽  
Vol 15 (5) ◽  
pp. 155014771985202
Author(s):  
Zunmin Liu ◽  
Chuijie Yi ◽  
Zhihong Liu ◽  
Xilong Zhang

For the current situation of the large error in civil satellite positioning data resulting in the calculation of smaller mileage by the polyline method than the actual mileage, a new method of mileage statistics has been proposed in this article. First, the original trajectory data are preprocessed to eliminate data errors. Second, based on the principle of shape approximation, it is preferred to implement the quadratic B-spline curve to accurately fit the mileage trajectory curve, comparing various curve fitting methods. Then, based on the trajectory curve control point data, the mileage statistics formula is derived, and the accurate mileage statistics method for non-precision satellite positioning signals is realized. Finally, the road test is carried out by using the photoelectric non-contact five-wheel instrument and GPS equipment. The polyline method and curve fitting method are used to generate contrastive curve and calculate the mileage, respectively. Taking photoelectric five-wheel data as the accurate mileage, the error analysis is carried out. The results show that the deviation between calculated and actual mileage values is less than 1%. Therefore, this method can meet the user’s requirements for fleet management.


Author(s):  
Jamie Kereliuk ◽  
Christine Trefanenko

ABSTRACT The Trans Mountain pipeline system extends from Edmonton, AB to Burnaby, BC, and into Washington State. The pipeline transports a variety of refined and non-refined products to refineries in Canada and the United States, and to the Westridge Marine Terminal in Burnaby, BC for export. The Trans Mountain Expansion Project will twin the existing 1,150 kilometer (714 mile) pipeline between Edmonton, AB, and Burnaby, BC, and increase the systems capacity from 300,000 barrels per day to 890,000 barrels per day. The Trans Mountain pipeline system has vulnerability to geographic and man-made hazards that could lead, in worst case scenarios, to line ruptures and spill releases. The development of Geographic Response Plans (GRPs) are a vital component of this project because they limit the risk of line ruptures posed by hazards. GRPs provide mitigation for potential spill impacts by enabling timely and effective response with pre-identified control points, response tactics, and other specific geographic details. Trans Mountain's GRPs are designed to expedite the decisions and actions of responders during an incident, as well as minimize impacts to ecologically and culturally sensitive areas by identifying and prioritizing them during a response. The Trans Mountain pipeline traverses multiple High Consequence Areas (HCAs), including Indigenous communities, urban centers, parks, protected areas, watercourses, and sensitive ecosystems. Due to the complex nature of the HCAs, an all-encompassing multi-stage approach to the development of the GRPs was established. Trans Mountain's GRP development began with simulating and modelling hypothetical spills along the pipeline to determine the largest possible extent of impact. This was followed by an inclusive field program involving a multi-disciplinary team of spill response and environmental specialists, local stakeholders, and Indigenous Peoples that travelled the pipeline and verified proposed control points while documenting environmental, social, and cultural HCAs. The participation of Indigenous communities and local stakeholders was invaluable in providing local knowledge on various aspects of the environment. As a result, approximately 600 control points were field-verified and corresponding tactical Control Point Data Sheets were developed. The two-page Control Point Data Sheets provide detailed information on waterbody type, site safety, logistics, resources at risk, and spill response tactics which includes a photos and diagrams to visually aid responders in implementing containment and recovery tactics. The GRP and Data Sheets are publicly available at https://grp.transmountain.com. Trans Mountain is committed to conducting business in a safe and environmentally responsible manner. Development of the GRPs has contributed to Trans Mountain being as prepared as possible to mitigate and minimize environmental and socio-economic impacts in the unlikely event of a spill. The GRP development has also enabled First Responders, Indigenous Peoples, communities, and fellow infrastructure operators to augment their response toolbox and enhance their ability to respond.


2018 ◽  
Vol 114 (526) ◽  
pp. 631-644 ◽  
Author(s):  
Ganggang Xu ◽  
Rasmus Waagepetersen ◽  
Yongtao Guan

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Liping Sun ◽  
Yonglong Luo ◽  
Xintao Ding ◽  
Ji Zhang

An important component of a spatial clustering algorithm is the distance measure between sample points in object space. In this paper, the traditional Euclidean distance measure is replaced with innovative obstacle distance measure for spatial clustering under obstacle constraints. Firstly, we present a path searching algorithm to approximate the obstacle distance between two points for dealing with obstacles and facilitators. Taking obstacle distance as similarity metric, we subsequently propose the artificial immune clustering with obstacle entity (AICOE) algorithm for clustering spatial point data in the presence of obstacles and facilitators. Finally, the paper presents a comparative analysis of AICOE algorithm and the classical clustering algorithms. Our clustering model based on artificial immune system is also applied to the case of public facility location problem in order to establish the practical applicability of our approach. By using the clone selection principle and updating the cluster centers based on the elite antibodies, the AICOE algorithm is able to achieve the global optimum and better clustering effect.


Author(s):  
Badrinath Roysam ◽  
Hakan Ancin ◽  
Douglas E. Becker ◽  
Robert W. Mackin ◽  
Matthew M. Chestnut ◽  
...  

This paper summarizes recent advances made by this group in the automated three-dimensional (3-D) image analysis of cytological specimens that are much thicker than the depth of field, and much wider than the field of view of the microscope. The imaging of thick samples is motivated by the need to sample large volumes of tissue rapidly, make more accurate measurements than possible with 2-D sampling, and also to perform analysis in a manner that preserves the relative locations and 3-D structures of the cells. The motivation to study specimens much wider than the field of view arises when measurements and insights at the tissue, rather than the cell level are needed.The term “analysis” indicates a activities ranging from cell counting, neuron tracing, cell morphometry, measurement of tracers, through characterization of large populations of cells with regard to higher-level tissue organization by detecting patterns such as 3-D spatial clustering, the presence of subpopulations, and their relationships to each other. Of even more interest are changes in these parameters as a function of development, and as a reaction to external stimuli. There is a widespread need to measure structural changes in tissue caused by toxins, physiologic states, biochemicals, aging, development, and electrochemical or physical stimuli. These agents could affect the number of cells per unit volume of tissue, cell volume and shape, and cause structural changes in individual cells, inter-connections, or subtle changes in higher-level tissue architecture. It is important to process large intact volumes of tissue to achieve adequate sampling and sensitivity to subtle changes. It is desirable to perform such studies rapidly, with utmost automation, and at minimal cost. Automated 3-D image analysis methods offer unique advantages and opportunities, without making simplifying assumptions of tissue uniformity, unlike random sampling methods such as stereology.12 Although stereological methods are known to be statistically unbiased, they may not be statistically efficient. Another disadvantage of sampling methods is the lack of full visual confirmation - an attractive feature of image analysis based methods.


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