architectural pattern
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Author(s):  
Nasma Yeni ◽  
Yuhandri Yunus

Student academic achievement plays an important role in determining the quality of a school. Student scores sometimes change each semester, there are increases and decreases. There is an assumption that students who scored well in the previous semester will be good in the next semester and vice versa. This method is expected to make it easier for educators to see the extent of changes in student academic achievement. The data tested were data from 60 grade VII students in 2 semesters. Furthermore, it will be tested using the MatLab application, then the results of the changes that will occur will appear. The results of this study found that the correlation between semester 1 scores and semester 2 TP scores. 2019/2020 is very good with an architectural pattern of 10-10-1 with an accuracy value of 95.3%. So students who excel in semester 1 are likely to excel in the next semester, so that they can help the school see the Correlation Level of Student Academic Achievement at SMPN 3 Lengayang.


Author(s):  
Aurore Gourraud ◽  
Régine Vignes Lebbe ◽  
Adeline Kerner ◽  
Marc Pignal

The joint use of two tools applied to plant description, XPER3 and Recolnat Annotate, made it possible to study vegetative architectural patterns (Fig. 1) of the Dendrobium (Orchidaceae) in New Caledonia defined by N. Hallé (1977). This approach is not directly related to taxonomy, but to the definition of sets of species grouped according to a growth pattern. In the course of this work, the characters stated by N. Hallé were analysed and eventually amended to produce a data matrix and generate an identification key. Study materials: Dendrobium Sw. in New Caledonia New Caledonia is an archipelago in the Pacific Ocean, a French overseas territory located east of Australia. It is one of the 36 biodiversity hotspots in the world. The genus Dendrobium Sw. sensu lato is one of the largest in the family Orchidaceae and contains over 1220 species. In New Caledonia, it includes 46 species. In his revision of the family, N. Hallé (1977) defined 14 architectural groups, into which he divided the 31 species known at that time. These models are based on those defined by F. Hallé and Oldeman (1970). But they are clearly intended to group species together for identification purposes. Architectural pattern: A pattern is a set of vegetative or reproductive characters that define the general shape of an individual. Developed by mechanisms linked to the dominance of the terminal buds, the architectural groups are differentiated by the arrangement of the leaves, the position of the inflorescences or the shape of the stem (Fig. 1). Plants obeying a given pattern do not necessarily have phylogenetic relationships. These models have a useful application in the field for identifying groups of plants. Monocotyledonous plants, and in particular the Orchidaceae, lend themselves well to this approach, which produces stable architectural patterns. Recolnat Annotate Recolnat Annotate is a free tool for observing qualitative features and making physical measurements (angle, length, area) of images. It can be used offline and downloaded from https://www.recolnat.org/en/annotate. The software is based on the setting up observation projects that group together a batch of herbarium images to be studied, associating it with a descriptive model. A file of measurements can be exported in comma separated value (csv) format for further analysis (Fig. 2). XPER3 Usually used in the context of systematics in which the items studied are taxa, XPER3 can also be used to distinguish architectural groups that are not phylogenetically related. Developed by the Laboratoire d'Informatique et Systématique (LIS) of the Institut de Systématique, Evolution, Biodiversité in Paris, XPER3 is an online collaborative platform that allows the editing of descriptive data (https://www.xper3.fr/?language=en). This tool allows the cross-referencing of items (in this case architectural groups) and descriptors (or characters). It allows the development of free access identification keys (it means without fixed sequence of identification steps). The latter can be used directly online. But it also offers to produce single-access keys, with or without using character weighting and dependencies between characters. Links between XPER3 and Recolnat Annotate The descriptive model used by Recolnat Annotate can be developed within the framework of XPER3, which provides for characters and character states. Thus the observations made by the Recolnat Annotate measurement tool can be integrated into the XPER3 platform. Specimens can then be compared, or several descriptions can be merged to express the description of a species (Fig. 3). RESULTS The joint use of XPER3 and Recolnat Annotate to manage both herbarium specimens and architectural patterns has proven to be relevant. Moreover, the measurements on the virtual specimens are fast and reliable. N. Hallé (1977) had produced a dichotomous single-accesskey that allowed the identification and attribution of a pattern to a plant observed in the field or in a herbarium. The project to build a polytomous and interactive key with XPER3 required completing the observations to give a status for each character of each vegetative architectural model. Recolnat Annotate was used to produce observations from herbarium network in France. The use of XPER3 has allowed us to redefine these models in the light of new data from the herbaria and to publish the interactive key available at dendrobium-nc.identificationkey.org.


Author(s):  
Nasma Yeni ◽  
Y Yuhandri

Student academic achievement plays a very important role in determining the quality of a school. Student grades sometimes change every semester, there are increases and decreases. There is an assumption that students whose grades are in the previous semester will be in the next semester and vice versa. is expected to make it easier for us as educators to see the extent to which changes in student academic achievement. The data tested is the data of 60 class VII students in 2 semesters. Furthermore, it will be tested using the MatLab Application, then the results of the changes that occur will come out. The results of this study found that they did not know the value of semester 1 with the value of semester 2 TP. 2019/2020 is very good with an architectural pattern of 10-10-1 with a value of 95.3%. So students who excel in semester 1 are likely to excel in the following semester. So that it can help the school in seeing the Correlation Level of Student Academic Achievement at SMPN 3 Lengayang.


Author(s):  
Krishna Mohan Koyya ◽  

An enterprise infrastructure consists of several devices. The devices emit event notifications representing their current state. The devices without storage such as printers and routers are configured to send the event notifications in the form of syslogs to one or more remote syslog servers over the network. Depending on the size and usage of the enterprise infrastructure, millions of syslogs may be emitted per second. These syslogs are used by the system administrators to detect and address the anomalies in the infrastructure. The system administrators often integrate the syslog servers with Log Analysis tools that offer aggregation, analytics, and visualisation capabilities. Splunk is one such popular tool that can be integrated with syslog servers. This paper proposes an architectural pattern for syslog servers that are to be integrated with Splunk for better performance, scalability and resilience.


2021 ◽  
pp. 120-131
Author(s):  
Farid Edrisi ◽  
Diego Perez-Palacin ◽  
Mauro Caporuscio ◽  
Margrethe Hallberg ◽  
Anton Johannesson ◽  
...  

2020 ◽  
Vol 20 (3) ◽  
pp. 32-44
Author(s):  
Milu Mary Philip ◽  
Amrutha Seshadri ◽  
B. Vijayakumar

AbstractThe present-day software application systems are highly complex with many requirements and variations, which can only be handled by more than one architectural pattern. This paper focuses on a combinational architectural design, with the micro-services at the center and supported by the model view controller and the pipes and filter architectural patterns to realize any data stream-oriented application. The proposed model is very generic and for validation, a prototype GIS application has been considered. The application is designed to extract GIS data from internet sources and process the data using third party processing tools. The overall design follows the micro-services architecture and the processing segment is designed using pipes-and-filters architectural pattern. The user interaction is made possible with the use of the model view controller pattern. The versatility of the application is expressed in its ability to organize any number of given filters in a connected structure that agrees with inter-component dependencies. The model includes different services, which make the application more user-friendly and secure by prompting client for authentication and providing unique storage for every client. This approach is very much useful for building applications with a high degree of flexibility, maintainability and adaptability. A qualitative comparison is made using a set of criteria and their implementation using the different architectural styles.


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