Pub Date : 2020-06-30DOI: 10.21742/ijsda.2020.8.1.04
Seungmin Lee
Due to the increasing interest of people in health and life sports, health is a major content in various media. This background and development of information technology has led to the release of hundreds of thousands of mobile health applications. Nevertheless, studies evaluating the user experience for mobile app usability and app success are insufficient. Therefore, this study aims to describe the phenomenon and identify problems and improvements by comprehensively exploring the user experience of the step count app of users in their 20s.FGI was performed to grasp the rich empirical data and satisfaction level of users in detail. FGI is a research method conducted by exchanging perceptions and experiences on subjects and cases according to the purpose of the research. As a result of the study, it was found that it is necessary to improve the level of playfulness of the step count app, various additional functions, and reliability. 1
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Pub Date : 2020-06-30DOI: 10.21742/ijsda.2020.8.1.01
Sangkon Han, Jungin Choi
The vehicle-to-everything (V2X) environment comprises a variety of devices that exchange or share vehicle-to-vehicle, vehicle-to-infrastructure, and vehicle-to-pedestrian information while the vehicles are being driven. In V2X environments, large amounts of unstructured data are recorded by various devices. Storing large amounts of unstructured data in a relational database would require all the data generated by the different types of devices to be normalized. In addition, the transaction-based Atomic, Consistency, Isolation, and Durability (ACID) characteristics of relational databases would not be suitable for processing large amounts of data of this nature. In this study, we apply the Command and Query Responsibility Segregation (CQRS) pattern to separate commands and queries and to process large-scale data efficiently. NoSQL, which provides specialized functions for handling unstructured data, as well as the commands and queries, can be separated; thus, NoSQL and RDBMS can be selectively used depending on the V2X environment and system characteristics. We propose a data processing system suitable for the V2X environment using a CQRS pattern and the NoSQL-based database. By applying the CQRS pattern, NoSQL and RDBMS can be used together. When storing large amounts of data, use NoSQL, and when providing information or statistics to users, select an RDBMS to use together. In addition, both repositories can be easily scaled up when processing large amounts of data, making efficient use of resources.
{"title":"Data Processing System Using CQRS Pattern and NoSQL in V2X Environment","authors":"Sangkon Han, Jungin Choi","doi":"10.21742/ijsda.2020.8.1.01","DOIUrl":"https://doi.org/10.21742/ijsda.2020.8.1.01","url":null,"abstract":"The vehicle-to-everything (V2X) environment comprises a variety of devices that exchange or share vehicle-to-vehicle, vehicle-to-infrastructure, and vehicle-to-pedestrian information while the vehicles are being driven. In V2X environments, large amounts of unstructured data are recorded by various devices. Storing large amounts of unstructured data in a relational database would require all the data generated by the different types of devices to be normalized. In addition, the transaction-based Atomic, Consistency, Isolation, and Durability (ACID) characteristics of relational databases would not be suitable for processing large amounts of data of this nature. In this study, we apply the Command and Query Responsibility Segregation (CQRS) pattern to separate commands and queries and to process large-scale data efficiently. NoSQL, which provides specialized functions for handling unstructured data, as well as the commands and queries, can be separated; thus, NoSQL and RDBMS can be selectively used depending on the V2X environment and system characteristics. We propose a data processing system suitable for the V2X environment using a CQRS pattern and the NoSQL-based database. By applying the CQRS pattern, NoSQL and RDBMS can be used together. When storing large amounts of data, use NoSQL, and when providing information or statistics to users, select an RDBMS to use together. In addition, both repositories can be easily scaled up when processing large amounts of data, making efficient use of resources.","PeriodicalId":326672,"journal":{"name":"International Journal of Smart Device and Appliance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115193919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-30DOI: 10.21742/ijsda.2019.7.1.02
Y. Li
Wireless sensor networks are gaining importance for the utilization in various scenarios day by day. The impact of utilizing these sensor networks is asking an important note on the day to day available issues in the human life. The working of such people is heavily impacted by these sensor nodes and their impact of working of them. When the nodes are working, they will collect the data from time to time and data will be processed by the machines and the required steps will be taken for the better processing of such data and for better utilization of the resources of devices or several other points to be considered for better utilization. Several models of sensor networks are available for the users or the developers such that to form the various good results. To achieve such good results, the deployment of nodes at various locations with various resources was very important. Hence, in the current article an attempt has been made to present a detailed review on various deployment schemes of nodes in the wireless sensor networks are discussed in detail.
{"title":"Deployment Schemes in WSNs","authors":"Y. Li","doi":"10.21742/ijsda.2019.7.1.02","DOIUrl":"https://doi.org/10.21742/ijsda.2019.7.1.02","url":null,"abstract":"Wireless sensor networks are gaining importance for the utilization in various scenarios day by day. The impact of utilizing these sensor networks is asking an important note on the day to day available issues in the human life. The working of such people is heavily impacted by these sensor nodes and their impact of working of them. When the nodes are working, they will collect the data from time to time and data will be processed by the machines and the required steps will be taken for the better processing of such data and for better utilization of the resources of devices or several other points to be considered for better utilization. Several models of sensor networks are available for the users or the developers such that to form the various good results. To achieve such good results, the deployment of nodes at various locations with various resources was very important. Hence, in the current article an attempt has been made to present a detailed review on various deployment schemes of nodes in the wireless sensor networks are discussed in detail.","PeriodicalId":326672,"journal":{"name":"International Journal of Smart Device and Appliance","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125004305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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