Temporal

问题 My time-series data includes date-time and temperature columns as follows: rn25_29_o: ambtemp dt 1 -1.96 2007-09-28 23:55:00 2 -2.02 2007-09-28 23:57:00 3 -1.92 2007-09-28 23:59:00 4 -1.64 2007-09-29 00:01:00 5 -1.76 2007-09-29 00:03:00 6 -1.83 2007-09-29 00:05:00 I am using median smoothing function to enhance small fluctuations that are caused because of imprecise measurements. unique_timeStamp <- make.time.unique(rn25_29_o$dt) temp.zoo<-zoo(rn25_29_o$ambtemp,unique_timeStamp) m.av<

问题 I am a beginner in learning image processing and I am a bit confused with the concept of spatial and temporal characterization. So, for Spatial characterization, is it like a 2D map which contains some statistical information about the map? And in terms of the temporal characterization, is the value with respect to time? What does it mean and why do we care? Thanks! 回答1: Temporal characterization occurs when you have a series of images taken at different time. Correlations between the images

问题 I understand the definitions of the terms, but I am having trouble applying their concepts to code. For an exercise, we are asked to describe if the following code is spatial or temporal: for (int i=0; i<10; i++) { printf(some_array[i]); } I feel like this is spatial locality because when one index of the array is accessed, the next index memory location will be accessed as soon as the loop iterates. Is this the correct way to look at it? What determines if code is temporal versus spatial?

问题 I have an entity Event which has fields startDate and endDate . I'd like to select only those events that have at most x days left to the their endDate . I want to do this in JPQL and with only one query. How can I do this? 回答1: JPA does not provide any standard date/time functions. You can use a native SQL query using SQL EXTRACT, Or, if you are using EclipseLink you can use the FUNC JPQL operator to call a database specific function, or use EXTRACT if using EclipseLink 2.4, See, http://wiki

问题 I need to do a historical type 2 data from a SQL server table to treat temporal table. I asked this question earlier but did not ask it completely and only 1st part was mentioned in question. below is link for same: Previous Question with Answer Sorry if I am duplicating question but that thread looks dead and I can use some help here. I need have three versions of data in SQL server Version 1,2,3. e.g. Version 1 - Effective start date Effective End Date 1/1/10 1/1/11 Version 2 - Effective

问题 I was reading this question, I wanted to ask more about the code that he showed i.e for(i = 0; i < 20; i++) for(j = 0; j < 10; j++) a[i] = a[i]*j; The questions are, I understand temporal locality, I think that references to i and j should be temporal locality. Am I right? I also understand spatial locality, as the question I linked answers that references to a[i] should be spatial locality. Am I right? The person said, "The inner loop will call same memory address when accessing a[i] ten

问题 Suppose I have yearly precipitation data for 100 stations from 1951 to 1980. In some papers, I find people apply PCA to the time series and then plot the spatial loadings map (with values from -1 to 1), and also plot the time series of the PCs. For example, figure 6 in https://publicaciones.unirioja.es/ojs/index.php/cig/article/view/2931/2696 is the spatial distribution of the PCs. I am using function prcomp in R and I wonder how I can do the same thing. In other words, how can I extract the

问题 Looking for a workaround for: Error: SQL71609: System-versioned current and history tables do not have matching schemes. Mismatched column: 'XXXX'. When trying to use SQL 2016 System-Versioned (Temporal) tables in SSDT for Visual Studio 2015. I've defined a basic table: CREATE TABLE [dbo].[Example] ( [ExampleId] INT NOT NULL IDENTITY(1,1) PRIMARY KEY, [ExampleColumn] VARCHAR(50) NOT NULL, [SysStartTime] datetime2 GENERATED ALWAYS AS ROW START HIDDEN NOT NULL, [SysEndTime] datetime2 GENERATED

问题 Hi have some question regarding spatial and temporal locality. I have read in the course theory that spatial locality If one item is referenced, the likelihood of other address close by will be referenced soon temporal locality One item that is referenced at one point in time it tend to be referenced soon again. Ok, but how do I see that in the code? I think I understood the concept for temporal locality but I don't understand spatial locality yet. For instance in this loop for(i = 0; i < 20;

问题 In my java application i was using REST API that returned data in JSON format, and noticed that this particular API formatted it's dates in a peculiar way: "Nov 1, 2019" , But problem is that the actual date on the server is "2019-11-02".That means I am getiing date minimized to previous date.I have added gson serialization for both Date and Timestamp values using UTC timezone format, but what i noted is the Date values skip the serialization part on the code and only Timestamp values are