Assessment of Community Internet Intensity (CII) in Sakhalin Island

2021 ◽  
Author(s):  
Alexey Konovalov ◽  
Yuliya Stepnova ◽  
Andrey Stepnov
Keyword(s):  
Social Networks ◽  
Sakhalin Island ◽  
High Rate ◽  
Internet Resource ◽  
Origin Time ◽  
Web Based ◽  
Ground Shaking ◽  
Macroseismic Observations ◽  
Macroseismic Observation ◽  
The Web

<p>Sakhalin Island is a region with high rate of seismic activity. Tens of felt earthquakes occur within the studied area every year. Rapid macroseismic observation through the web questionaries, social networks etc. gives reliable information about ground shaking intensities and today is processed by major seismological agencies (Bossu et al., 2018; Quitoriano and Wald, 2020).</p><p>The recent development of the methodology began with the web-based macroseismic observations following Dengler and Deweey (1998) and Wald et al. (1999). Widespread global use of Community Internet Intensity (CII) was routinely applied by the U.S. Geological Survey (USGS) through the USGS DYFI questionaries. Over 5 millions felt reports were collected during last 15 years (Quitoriano and Wald, 2020).</p><p>During last 5 years the methodology was tested in Sakhalin Island (Konovalov et al., 2018). For the collection of felt reports we used regional internet resource (https://eqalert.ru/#/). The DYFI USGS questionnaires translated into Russian were used for processing the macroseismic information. The felt reports of the respondents from each settlement were transformed to the Community Weighted Sum (CWS) which takes into account various indicators of ground shaking: human sensations, position of objects, visible damages of the building. The CII was calculated using the equation (Wald et al., 1999):</p><p>CII = 3.4 ln (CWS) – 4.38.</p><p>The obtained values were rounded to the first number after the comma. In general CII should be similar to the MM intensity.</p><p>During the period from 2016 to 2020 we have got about 400 felt reports. Most of the responses came in the first minutes after the origin time of seismic event. Data with only one report or incorrectly submitted questionnaires were excluded in further calculations. The small number of the felt reports may be explained by low population density of the central and northern districts of Sakhalin Island. Finally we have found correlation between the CII and PGA (cm/s/s) which is given by the equation:</p><p>CII = 2.5 log (PGA) + 2.32.</p><p>It is suggested that given approach can be used as a robust tool for express analysis of ground shaking. It is also a good way to involve the population and bring them closer to understanding the scientific process in the era of the growth of computer technology and social networks.</p>

Information System of Nearest Schools Locations with School Social Networks and students' Parents based on Website (Case Study of Early Childhood Education and Elementary School in Malang City)

2017 ◽  
Vol 4 (1) ◽  
pp. 8-14
Author(s):  
Aisy Nurmalasarri
Keyword(s):  
Social Networks ◽  
Information System ◽  
Early Childhood ◽  
Message Processing ◽  
Web Based ◽  
Childhood Education ◽  
Web Social ◽  
Location Map ◽  
The Web

This information system aims to find the closest distance from the parents' house to the school in Malang by looking at the location map that has been provided on the web. Making this web-based information system using the programming language PHP and MySQL and AMPPS to create the required database on the web. Social networks are created in the form of profile processing, photo galleries, and message processing. The search for location points is determined by the admin and the user's coordinates can be known automatically and the results obtained from the calculation of the distance on the web or manually are obtained from the SDN Jatimulyo 4 with a distance of 92 meters on the web and 0.1 km on the calculation manually using a spido meter, the closest PAUD to the user's coordinate point is TK Tadika Puri with a distance of 1.1 km on the web and 1.2 in manual calculations using a spido meter. This shows that the closest distance using google maps and manual calculations using a spido meter to search for the nearest location gets almost the same results, so the analysis of the results can be said to be a good category.

scholarly journals EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS

2014 ◽  
Vol XL-2/W3 ◽  
pp. 115-120
Author(s):  
M. Forghani ◽  
F. Karimipour
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Location Information ◽  
Sources Of Information ◽  
Web Based ◽  
Travel Experience ◽  
Information Layer ◽  
Over Time ◽  
The Web ◽  
Category Usage

Accessibility of positioning technologies such as GPS offer the opportunity to store one’s travel experience and publish it on the web. Using this feature in web-based social networks and considering location information shared by users as a bridge connecting the users’ network to location information layer leads to the formation of Geo-Social Networks. The availability of large amounts of geographical and social data on these networks provides rich sources of information that can be utilized for studying human behavior through data analysis in a spatial-temporal-social context. This paper attempts to investigate the behavior of around 1150 users of Foursquare network by making use of their check-ins. The authors analyzed the metadata associated with the whereabouts of the users, with an emphasis on the type of places, to uncover patterns across different temporal and geographical scales for venue category usage. The authors found five groups of meaningful patterns that can explore region characteristics and recognize a number of major crowd behaviors that recur over time and space.

scholarly journals The dynamics of Web-based social networks: Membership, relationships, and change

First Monday ◽  
2007 ◽  
Author(s):  
Jennifer Golbeck
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Information ◽  
Great Promise ◽  
Relationship Dynamics ◽  
Web Based ◽  
The Public ◽  
Comprehensive Survey ◽  
The Media ◽  
The Web

Social networks on the Web are growing dramatically in size and number. The huge popularity of sites like MySpace, Facebook, and others has drawn in hundreds of millions of users, and the attention of scientists and the media. The public accessibility of Web–based social networks offers great promise for researchers interested in studying the behavior of users and how to integrate social information into applications. However, to do that effectively, it is necessary to understand how networks grow and change. Over a two–year period we have collected data on every social network we could identify, and we also gathered daily information on thirteen networks over a 47–day period. In this article, we present the first comprehensive survey of Web–based social networks, followed by an analysis of membership and relationship dynamics within them. From our analysis of these data, we present several conclusions on how users behave in social networks, and what network features correlate with that behavior.

New Perspectives on Sustainable Healthcare Delivery Through Web of Things

2018 ◽  
pp. 166-187 ◽  
Author(s):  
Cristina Elena Turcu ◽  
Corneliu Octavian Turcu
Keyword(s):  
Social Networks ◽  
Patient Care ◽  
Medical Devices ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Web Based ◽  
Web Of Things ◽  
The Social ◽  
Health Sensors ◽  
The Web

This chapter focuses on examining the adoption of the web of things paradigm in healthcare in order to facilitate the development of new web-based systems in more effective and efficient ways. Nowadays, the increasing number of personal health sensors and medical devices present the opportunity for healthcare providers to interact with patients in entirely new ways. In this context, the WoT paradigm could be closely linked to patient care and has the potential to generate changes in healthcare. WoT could also be applied in the social and insurance fields, etc. The social web of things (SWoT) further extends WoT in order to facilitate continued interaction between physical devices and humans, allowing the integration of smart objects with social networks. Although it opens new social possibilities, it was less applied in the delivery of healthcare. Nevertheless, its successful adoption depends on overcoming some open challenges.

scholarly journals Machine Learning Algorithms for Spam Detection in Social Networks

2019 ◽  
Vol 8 (S3) ◽  
pp. 41-44
Author(s):  
K. Nagaramani ◽  
K. Vandanarao ◽  
B. Mamatha
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Systems ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Spam Detection ◽  
Web Based ◽  
The Times ◽  
The Web

Most of the web based social systems like Face book, twitter, other mailing systems and social networks are developed for users to share their information, to interact and engage with the community. Most of the times these social networks will give some troubles to the users by spam messages, threaten messages, hackers and so on.. Many of the researchers worked on this and gave several approaches to detect the spam, hackers and other trouble shoots. In this paper we are discussing some tools to detect the spam messages in social networks. Here we are using RF, SVM, KNN and MLP machine learning algorithms across rapid miner and WEKA. It gives the better results when compared with other tools.

scholarly journals Smartphone-based evaluations of clinical placements—a useful complement to web-based evaluation tools

2015 ◽  
Vol 12 ◽  
pp. 55 ◽  
Author(s):  
Jesper Hessius ◽  
Jakob Johansson
Keyword(s):  
Evaluation System ◽  
Course Evaluation ◽  
Course Evaluations ◽  
High Rate ◽  
Free Text ◽  
Web Based ◽  
Clinical Placements ◽  
Advantages And Disadvantages ◽  
Evaluation Scores ◽  
The Web

Purpose: Web-based questionnaires are currently the standard method for course evaluations. The high rate of smartphone adoption in Sweden makes possible a range of new uses, including course evaluation. This study examines the potential advantages and disadvantages of using a smartphone app as a complement to web-based course evaluationsystems.Methods: An iPhone app for course evaluations was developed and interfaced to an existing web-based tool. Evaluations submitted using the app were compared with those submitted using the web between August 2012 and June 2013, at the Faculty of Medicine at Uppsala University, Sweden. Results: At the time of the study, 49% of the students were judged to own iPhones. Over the course of the study, 3,340 evaluations were submitted, of which 22.8% were submitted using the app. The median of mean scores in the submitted evaluations was 4.50 for the app (with an interquartile range of 3.70-5.20) and 4.60 (3.70-5.20) for the web (P= 0.24). The proportion of evaluations that included a free-text comment was 50.5% for the app and 49.9% for the web (P= 0.80).Conclusion: An app introduced as a complement to a web-based course evaluation system met with rapid adoption. We found no difference in the frequency of free-text comments or in the evaluation scores. Apps appear to be promising tools for course evaluations. web-based course evaluation system met with rapid adoption. We found no difference in the frequency of free-text comments or in the evaluation scores. Apps appear to be promising tools for course evaluations.

PENERAPAN METODE PROTOTYPING PADA PERANCANGAN APLIKASI SPPD KPPN MEDAN II BERBASIS WEBSITE

2019 ◽  
Vol 11 (1) ◽  
pp. 8-19
Author(s):  
Crystal Jelita Lumban Tobing
Keyword(s):  
Time Saving ◽  
Web Based ◽  
Government Organization ◽  
Manual Method ◽  
Microsoft Word ◽  
Ministry Of Finance ◽  
The Government ◽  
The City ◽  
Employee Data ◽  
The Web

 KPPN Medan II is one of the government organization units at the Ministry of Finance. Where leaders and employees who work at KPPN Medan II always carry out official trips between cities and outside the city. With these conditions, making SPPD documents experiencing the intensity of official travel activities carried out by employees of KPPN Medan II can be said frequently. So that in making SPPD in KPPN Medan II is still using the manual method that is recording through Microsoft Word which in the sense is less effective and efficient. In naming employees who get official assignments, officers manually entering employee data that receives official travel letters are prone to being lost because data is manually written. The web-based SPPD application is built by applying this prototyping method which is expected to facilitate SPPD KPPN Medan II management officers in making SPPD that is effective, efficient, accurate, time-saving, and not prone to losing SPPD data of KPPN Medan II employees who will has made official trips due to the existence of a special database to accommodate all SPPD files.

Rancang Bangun Sistem Penerimaan Dan Mutasi Barang Pada PDAM Tirta Kerta Raharja

Sensi Journal ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 236-246
Author(s):  
Ilamsyah Ilamsyah ◽  
Yulianto Yulianto ◽  
Tri Vita Febriani
Keyword(s):  
System Analysis ◽  
Object Oriented ◽  
Analysis Method ◽  
Web Based ◽  
Visual Modeling ◽  
Long Time ◽  
The Right ◽  
And Control ◽  
Web Based System ◽  
The Web

The right and appropriate system of receiving and transferring goods is needed by the company. In the process of receiving and transferring goods from the central warehouse to the branch warehouse at PDAM Tirta Kerta Raharja, Tangerang Regency, which is currently done manually is still ineffective and inaccurate because the Head of Subdivision uses receipt documents, namely PPBP and mutation of goods, namely MPPW in the form of paper as a submission media. The Head of Subdivision enters the data of receipt and mutation of goods manually and requires a relatively long time because at the time of demand for the transfer of goods the Head of Subdivision must check the inventory of goods in the central warehouse first. Therefore, it is necessary to hold a design of information systems for the receipt and transfer of goods from the central warehouse to a web-based branch warehouse that is already database so that it is more effective, efficient and accurate. With the web-based system of receiving and transferring goods that are already datatabed, it can facilitate the Head of Subdivision in inputing data on the receipt and transfer of goods and control of stock inventory so that the Sub Head of Subdivision can do it periodically to make it more effective, efficient and accurate. The method of data collection is done by observing, interviewing and studying literature from various previous studies, while the system analysis method uses the Waterfall method which aims to solve a problem and uses design methods with visual modeling that is object oriented with UML while programming using PHP and MySQL as a database.

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