Impact Analysis of Various Earthquake Scenarios Using a Simplified Web Application for Earthquake Damage Estimation

2016 ◽  
Vol 11 (5) ◽  
pp. 935-946
Author(s):  
Shingo Suzuki ◽  
◽  
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Supply And Demand ◽  
Seismic Intensity ◽  
Disaster Mitigation ◽  
Earthquake Scenarios ◽  
National Crisis ◽  
Administrative Functions ◽  
Exposed Population ◽  
Enormous Number

An earthquake in metropolitan Tokyo would be a national crisis in terms of the enormous number of affected population and properties and various types of complicated damages and impact in areas where there is a concentration of capital, social, and economic functions. Moreover, the process of being affected by the disaster is so complicated that it has not been fully understood and the various possibilities of earthquake occurrence scenarios have not been fully analyzed. In addition, those understandings and analyses have not been fully utilized for disaster mitigation or preparedness.Intended to estimate complicated phenomena, this study discusses a method to analyze various phenomena by breaking down a method for estimation component pieces, making each piece work as a web service, and getting them to cooperate with one another as necessary. We also develop an earthquake-disaster estimation web application that can analyze seismic intensity, exposed population, lifelines, business establishments, goods supply and demand, and so on.Using an exposed population, the period of business disruption at business establishments, the supply and demand balance of necessities, and an amount of exposure of administrative functions as impact indices, we use our method to analyze the change in impact indices at many epicenters exhaustively plotted in the metropolitan Tokyo area. As a result, the scenario of an earthquake with a great impact is quantified in light of the earthquake susceptibility of the ground, distribution of population, business establishments, administrative functions, and so on.

scholarly journals Feasibility study of earthquake early warning in Tehran, Iran

2021 ◽  
Author(s):  
S. Enferadi ◽  
Z. H. Shomali ◽  
A. Niksejel
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Disaster Mitigation ◽  
Lead Times ◽  
Worst Case ◽  
Earthquake Parameters ◽  
Earthquake Early Warning System ◽  
Earthquake Scenarios

AbstractIn this study, we examine the scientific feasibility of an Earthquake Early Warning System in Tehran, Iran, by the integration of the Tehran Disaster Mitigation and Management Organization (TDMMO) accelerometric network and the PRobabilistic and Evolutionary early warning SysTem (PRESTo). To evaluate the performance of the TDMMO-PRESTo system in providing the reliable estimations of earthquake parameters and the available lead-times for The Metropolis of Tehran, two different approaches were analyzed in this work. The first approach was assessed by applying the PRESTo algorithms on waveforms from 11 moderate instrumental earthquakes that occurred in the vicinity of Tehran during the period 2009–2020. Moreover, we conducted a simulation analysis using synthetic waveforms of 10 large historical earthquakes that occurred in the vicinity of Tehran. We demonstrated that the six worst-case earthquake scenarios can be considered for The Metropolis of Tehran, which are mostly related to the historical and instrumental events that occurred in the southern, eastern, and western parts of Tehran. Our results indicate that the TDMMO-PRESTo system could provide reliable and sufficient lead-times of about 1 to 15s and maximum lead-times of about 20s for civil protection purposes in The Metropolis of Tehran.

scholarly journals A Machine Learning Web Application to Estimate Listing Prices of South African Homes

2020 ◽  
Vol 4 (2) ◽  
pp. 1-23
Author(s):  
Dane Bax ◽  
◽  
Temesgen Zewotir ◽  
Delia North ◽  
Keyword(s):  
Machine Learning ◽  
Real Estate ◽  
South African ◽  
Web Application ◽  
Functional Form ◽  
Linear Models ◽  
Supply And Demand ◽  
Spatial Dependency ◽  
Business Objective ◽  
Log Linear

Due to the heterogeneous nature of residential properties, determining selling prices which will reconcile supply and demand is difficult. Establishing realistic listing prices is vitally important for sellers to prevent prolonged time on market. Sellers have several resources available to assist in this endeavour, all of which involve understanding current market dynamics through analysing recent sales and listing data. Property portals which aggregate real estate agencies’ data, hosting it on online platforms, are one such resource, along with individual real estate agencies. Leveraging this data to develop solutions that could aid sellers in listing price decision making is a potential business objective that could not only add value to sellers but create a competitive advantage by increasing traffic to an online real estate platform. Using data provided by a South African online property portal, this paper creates a web application using machine learning to estimate listing prices for different types of homes throughout South Africa. This study compared log linear and gradient boosted models, estimating residential listing prices over a four-year period. The results indicate that although log linear models are suitable to account for spatial dependency in the data through the inclusion of a fixed location effect, the assumption of linear functional form was not satisfied. The gradient boosted models do not impose explicit functional form requirements, making them flexible candidates. Similarly, these models were able to handle the spatial dependency adequately. The gradient boosted models also achieved a lower out of sample error compared to the log linear models. The findings show that over observation periodperiod, larger properties consistently experience a diminishing return at some point over the marginal distribution of physical characteristics. The web application details how sellers are easily able to obtain mean listing price estimates and gauge the growth thereof, by simply inputting their property interest criteria.

Ripple Effect in Web Applications

2012 ◽  
pp. 97-111
Author(s):  
Nashat Mansour ◽  
Nabil Baba
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Web Applications ◽  
Ripple Effect ◽  
Change Impact Analysis ◽  
Local Modification ◽  
Change Impact ◽  
The Stability ◽  
The Impact ◽  
The Web

The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.

Ripple Effect in Web Applications

2010 ◽  
Vol 5 (2) ◽  
pp. 1-15
Author(s):  
Nashat Mansour ◽  
Nabil Baba
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Web Applications ◽  
Dependence Analysis ◽  
Ripple Effect ◽  
Local Modification ◽  
Change Impact ◽  
The Stability ◽  
The Impact ◽  
Direct Change

The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.

scholarly journals E-Commerce web Application by using MERN Technology

2021 ◽  
Vol 7 (05) ◽  
pp. 1-5
Keyword(s):  
Web Application ◽  
Administrative Functions ◽  
Different Types ◽  
Payment Gateway

In today's generation, most people are using technology for leading their lives and fulfilling their daily needs. In this generation most of us using E-commerce websites for shopping for clothes, groceries, and electronics [1]. We have developed one E-commerce web application by using MERNstack technology as it contains MongoDB, Express.JS framework, React.JS library, Node.JS platform. This application is fully functional with different views for user and admin and it also has integrated with payment gateway for checkout. By using this website we can buy different types of t-shirts and we can choose different styles of t-shirts based upon customer interests. In this project, we can add different products and can delete them also. We have developed administrative functions for the website such as create a product, create categories, Admin dashboard, Manage products, Manage categories. For customersrs, they can quickly add their items to the cart. Based on the items in the cart then the bill gets generate and the customer can pay by using stripe [2].

Trends in the delivery of care to oncology patients in the United States: Emphasis on the role pharmacists on the healthcare team

2020 ◽  
pp. 107815522090767
Author(s):  
Robert J Ignoffo ◽  
Katherine K Knapp ◽  
Amy Seung ◽  
Victoria Brown ◽  
Shannon Hough ◽  
...  
Keyword(s):  
Supply And Demand ◽  
Quality Measurement ◽  
The United States ◽  
Structural Features ◽  
Geographic Region ◽  
Healthcare Team ◽  
Delivery Of Care ◽  
Oncolytic Therapy ◽  
Administrative Functions ◽  
Oncology Care

Objective The purpose of this study was to identify trends in oncology care that allow one to forecast workforce supply and demand, the training and skills needed by the oncology pharmacist for the likely future of oncology care. Methods Interviews were conducted with experienced oncology pharmacists in leadership roles at 20 organizations balanced by geographic region and type of practice site (academic or community/ambulatory). Results were analyzed using descriptive statistics and theme identification. Results Practice sites differed widely in numbers of patient visits, practitioner/patient ratios, residency program presence, and other structural features. Despite this, the majority reported an expectation of growth in cancer patients, oncology physicians, oncology pharmacists, pharmacy technicians, oncology nurses, and advanced practice practitioners in the next two to five years. Fifty percent of sites currently support Post Graduate Year 2 (PGY2) oncology residencies. At least 50% reported routine pharmacist involvement in 12 clinical functions. More future involvement was predicted for immunotherapy (80%) and oral oncolytic therapy (90%). Interprofessional involvement was reported for a broad variety of practice-related committees and patient education teams. Limited pharmacist involvement in credentialing, quality measurement, and value-based reimbursement systems was found. Conclusion Anticipated increases in demand for oncology pharmacists strongly suggest the need for more PGY2 oncology residency programs and on-the-job oncology training programs. Oncology pharmacists are currently involved in many clinical and administrative functions including multidisciplinary management. While a core set of clinical functions has been identified, oncology pharmacists must prepare for the increased use of oral oncology agents and immunotherapy. Pharmacist involvement in value-based reimbursement and other data-based quality outcome measurements should be increased to optimize involvement in team-based patient care.

scholarly journals Performance Evaluation of a Dense MEMS-Based Seismic Sensor Array Deployed in the Sichuan-Yunnan Border Region for Earthquake Early Warning

Micromachines ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 735 ◽  
Author(s):  
Chaoyong Peng ◽  
Peng Jiang ◽  
Quansheng Chen ◽  
Qiang Ma ◽  
Jiansi Yang
Keyword(s):  
Early Warning ◽  
High Performance ◽  
Dynamic Range ◽  
Low Cost ◽  
Seismic Intensity ◽  
Earthquake Early Warning ◽  
Border Region ◽  
Disaster Mitigation ◽  
Ground Acceleration ◽  
Percentage Difference

With the last decades of development, earthquake early warning (EEW) has proven to be one of the potential means for disaster mitigation. Usually, the density of the EEW network determines the performance of the EEW system. For reducing the cost of sensors and building a dense EEW network, an upgraded low-cost Micro Electro Mechanical System (MEMS)-based sensor named GL-P2B was developed in this research. This device uses a new high-performance CPU board and is built on a custom-tailored Linux 3.6.9 operating system integrating with seismological processing. Approximately 170 GL-P2Bs were installed and tested in the Sichuan-Yunnan border region from January 2017 to December 2018. We evaluated its performance on noise-level, dynamic range (DR), useful resolution (NU), collocated recording comparison, and shake map generation. The results proved that GL-P2B can be classified as a type of Class-B sensor. The records obtained are consistent with the data obtained by the collocated traditional force-balanced accelerometers even for stations with an epicenter distance of more than 150 km, and most of the relative percentage difference of peak ground acceleration (PGA) values is smaller than 10%. In addition, with the current density of the GL-P2B seismic network, near-real-time refined shake maps without using values derived for virtual stations could be directly generated, which will significantly improve the capability for earthquake emergency response. Overall, this MEMS-based sensor can meet the requirements of dense EEW purpose and lower the total investment of the National System for Fast Seismic Intensity Report and Earthquake Early Warning project.

scholarly journals Study of Medical Supply and Demand Balance for the Nankai Trough Earthquake

2019 ◽  
Vol 34 (s1) ◽  
pp. s44-s44
Author(s):  
Yosuke Takada ◽  
Yasuhiro Otomo
Keyword(s):  
Nankai Trough ◽  
Supply And Demand ◽  
Seismic Intensity ◽  
Philippine Sea Plate ◽  
Eurasian Plate ◽  
Inundation Area ◽  
Medical Supplies ◽  
High Care ◽  
Health Database ◽  
To Receive

Introduction:The Nankai Trough, marking the boundary between the Eurasian Plate and the Philippine Sea Plate, is forecasted to create a tragic earthquake and tsunami within 30 years.Aim:To clarify the gap between medical supplies and demand.Methods:Collected the data of the estimation of injured persons from each prefecture throughout Japan, and also the number of Intensive Care Unit (ICU) and High Care Unit (HCU) beds in Japan from the Ministry of Health database. We re-calculated the number of severe cases based on official data. Moreover, we calculated the number of beds of hospitals with the capacity to receive severe patients.Results:The total number of disaster base hospitals is 723 hospitals with 6556 ICU beds, and 545 hospitals have 5,248 HCU beds throughout Japan. When the Nankai Trough earthquake occurs, 187 disaster base hospitals would be located in the area with seismic intensity 6-upper on the Japanese Seismic Intensity Scale of 0-7, and 79 disaster base hospitals would be located in the tsunami inundation area. The estimated total number of injured persons is 661,604 including 26,857 severe cases, 290,065 moderate cases, and 344,682 minor cases.Discussion:Even if all ICU and HCU beds are usable for severe patients, there will be 15,053 more beds needed. The Cabinet Office of Japan assumes that 60% of hospital beds would not be able to be used in an area of the seismic intensity of 6-upper. If 80% of beds are used in the non-disaster time, the number of beds which are usable at the time of a disaster will decrease more. The beds needed for severe patients would be significantly lacking when the Nankai Trough earthquake occurs. It will be necessary to start treatment of the severe patients who are “more likely to be saved more.”

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