Development and Testing of a Mobile Application for Recording and Analyzing Seismic Data

2013 ◽  
Vol 8 (5) ◽  
pp. 990-1000 ◽  
Author(s):  
Shohei Naito ◽  
◽  
Hiroki Azuma ◽  
Shigeki Senna ◽  
Mutsuhiro Yoshizawa ◽  
...  
Keyword(s):  
Seismic Data ◽  
Mobile Application ◽  
Strong Motion ◽  
Local Communities ◽  
Test Results ◽  
Acceleration Sensors ◽  
Cloud Server ◽  
Mobile Information ◽  
Seismic Records ◽  
Performance Validation

i-jishin, an app that measures earthquakes using MEMS acceleration sensors built in mobile information terminals such as smartphones and geonavi that receives, stores, and displays seismic records on a cloud server is developed. The test results for the performance validation of the system, an example of the application to strong-motion observation of buildings, and approach of field test for local communities are introduced.

scholarly journals Analisys and Implementation Cloud-based Biometricauthentication in Mobile Platform

Kursor ◽  
2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Agostinho Marques Ximenes ◽  
Sritrusta Sukaridhoto ◽  
Amang Sudarsono ◽  
Hasan Basri
Keyword(s):  
Face Recognition ◽  
Mobile Application ◽  
Data Communication ◽  
Mobile Platform ◽  
Communication Security ◽  
Qr Code ◽  
Test Results ◽  
Cloud Server ◽  
The Government ◽  
The Cost

Based on the Indonesian Central of Statistics the level of poverty people in September 2018 was 25.95 million, based on data, the government allocation care fund the reduce poverty people, the fund are given through the bank. However, banks cannot allocation funds because the cost for build infrastructure is expensive, such as making an ATM. about that, the banks need to find a new solution to allocation care fund to the poverty people, Mobile Platform Biometric Cloud Authentication is one  solution. In this study, the experimentationn of the biometric face recognized( face data  enrypt and decript by algoritma AES 256 bit) to secure online payment mobile application based on the QR Code scan and face recognition[8,10]. The concentration of this study lies in the experimentationn of biometric face recognize and QR Code scan on biometric payment based face recognition and QR Code scan mobile applications that play a role in data communication security. The test results on this mobile application show that scanning a QR Code and biometric face recognize can be implemented at an online merchant transaction with an accuracy of 95% and takes 53, 21 seconds in transactions. Keyword: biometric, cloud server, Cryptography, QR Code.

Radon Transform Removes Correlation Noise Produced by Vibroseis

2014 ◽  
Vol 672-674 ◽  
pp. 1964-1967
Author(s):  
Jun Qiu Wang ◽  
Jun Lin ◽  
Xiang Bo Gong
Keyword(s):  
Radon Transform ◽  
Seismic Data ◽  
Cross Correlation ◽  
Random Noise ◽  
Seismic Record ◽  
Electromagnetic Drive ◽  
Seismic Records ◽  
Correlation Noise

Vibroseis obtained the seismic record by cross-correlation detection calculation. compared with dynamite source, cross-correlation detection can suppress random noise, but produce more correlation noise. This paper studies Radon transform to remove correlation noise produced by electromagnetic drive vibroseis and impact rammer. From the results of processing field seismic records, we can see that Radon transform can remove correlation noise by vibroseis, the SNR of vibroseis seismic data is effectively improved.

POLICY OF PROMOTING ALCOHOL CONSUMPTION IN TIMES OF COVID-19 LOCKDOWN IN INDIA: A MEDICAL AND CONSTITUTIONAL ANALYSIS.

2021 ◽  
pp. 21-24
Author(s):  
Neha Sharma ◽  
Ayush Anand ◽  
Shreyas Joshi ◽  
Samrat Ray
Keyword(s):  
Mobile Application ◽  
Prospective Observational Study ◽  
Social Contact ◽  
Contact Tracing ◽  
Family Welfare ◽  
Cumulative Number ◽  
Test Results ◽  
Before And After ◽  
The Given ◽  
Constitutional Analysis

BACKGROUND: India, with the declaration of COVID-19 as a pandemic, started imposing restrictions in the country th and initiated a nationwide lockdown under Section 6 of the Disaster Management Act, 2005 on 24 March 2020, followed by four phases of lockdown and then gradual unlock of the country. The rationale behind the same was to avoid social contact. Alcohol dispensing was also stopped during this time and was among the rst services to be reopened by the States. We propose in this paper that this lifting of ban on alcohol sale during the pandemic has led to a signicant increase in the number of COVID-19 cases in the country. METHODS: This is a prospective, observational study, done by collecting data from the Aargya Setu App, which is a mobile application launched by the Ministry of Health and Family Welfare on 2 April 2020 for contact tracing and elf assessment of COVID-19. The data of cumulative number of cases in 12 selected states of the country were compared before and after the lift of ban of alcohol and signicance was shown by the paired t test. RESULTS: The number of COVID-19 positive cases in the country during nationwide lockdown with simultaneous ban on alcohol sale when compared to cumulative number of cases after the lift of ban of alcohol sale during Lockdown and initial Unlock is statistically signicant (p = 0.04) CONCLUSION: We found that the decision to restart the sale of Alcohol could have been a factor for rise in number of cases in the country in the given timeframe. The decision to start the sale has also not been in accordance with the Indian Constitution and against the nation's founding ethics.

IoT Based Bus Tracking System

2021 ◽  
Vol 9 (VI) ◽  
pp. 2889-2893
Author(s):  
Miss Payal W. Paratpure
Keyword(s):  
Tracking System ◽  
Cost Effective ◽  
Raspberry Pi ◽  
Accurate Estimation ◽  
Time Of Arrival ◽  
Test Results ◽  
Cloud Server ◽  
Bus Operator ◽  
Gps Device

Tracking of public bus location requires a GPS device to be installed, and lots of bus operators in developing countries don't have such an answer in situ to supply an accurate estimation of bus time of arrival (ETA). Without ETA information, it's very difficult for the overall public to plan their journey effectively. In this paper, implementation of an innovative IOT solution to trace the real time location of buses without requiring the deployment of a GPS device is discussed. It uses Bluetooth Low Energy (BLE) proximity beacon to trace the journey of a bus by deploying an Estimate location beacon on the bus. BLE detection devices (Raspberry Pi 4) are installed at selected bus stops along the path to detect the arrival of buses. Once detected, the situation of the bus is submitted to a cloud server to compute the bus ETAs. A field trial is currently being conducted in Johor, Malaysia together with an area bus operator on one single path. Our test results showed that the detection of BLE beacons is extremely accurate and it's feasible to trace the situation of buses without employing a GPS device during a cost-effective way.

Ambient vibration test results of the Imperial County Services Building

1983 ◽  
Vol 73 (6A) ◽  
pp. 1895-1902
Author(s):  
Gerard C. Pardoen
Keyword(s):  
Strong Motion ◽  
Ambient Vibration ◽  
Vibration Test ◽  
Test Results ◽  
Structural Failure ◽  
Imperial Valley ◽  
Ambient Vibration Test ◽  
Significant Interest ◽  
First Time ◽  
County Services

Abstract The ambient vibration test results conducted on the Imperial County Services Building prior to the 15 October 1979 Imperial Valley earthquake are summarized. These results are of significant interest because the Imperial County Services Building has been the source of many postearthquake investigations due to the fact that the 1979 earthquake represented the first time a building instrumented with strong motion recorders suffered and recorded the major structural failure.

scholarly journals Perancangan E-Modul “ALKI” Pada Mata Pelajaran Kimia Bagi Siswa Kelas X Berbasis Mobile di SMAN 1 Mapat Tunggul

2021 ◽  
Vol 6 (2) ◽  
pp. 93-104
Author(s):  
Aisyah Amini ◽  
Riri Okra
Keyword(s):  
Mobile Application ◽  
Development Stage ◽  
Test Results ◽  
Research Model ◽  
Design Development ◽  
Process Testing ◽  
Development Life Cycle ◽  
Multimedia Development ◽  
The Media ◽  
Chemical Materials

ALKI is an e-module that serves as a learning medium for grade X students majoring in MIA at SMAN 1 MAPAT TUNGGUL. E-module ALKI was created with the aim of assisting teachers in delivering materials and helping students understand more about chemical materials by repeating lessons, working on exercises, and strengthening memory by playing flashcards. The thing behind the design of alki e-module is the lack of motivation to learn students, difficulty and the absence of internet network in Mapat Tunggul area, students should not take home the package book, the smartphone owned by students is not used to study, and when doing homework with the help of the internet most students just copy the answer without understanding the origin of the answer. This research method is Research and Development (R&D) with a 4-D research model (four-D) that is with define, Design, Development, and Disseminate stages. In the Development stage, the development stage of ALKI e-module media is carried out. The media development model used in this study is MDLC(Multimedia Development Life Cycle) luther-sutopo version which consists of 6 stages, namely conception, design, material collection, manufacturing process, testing and distribution. The result of the research is a mobile-based ALKI e-module product. With 0.81 validity test results declared valid,0.93 Practicality test results are practiced very practically,and 0.80 effectiveness test results are declared very effective. So, it can be concluded that alki e-module based on mobile application as a learning medium has been valid, practical and effective.

scholarly journals Characterizing Seismo-stratigraphic and Structural Framework of Late Cretaceous-Recent succession of offshore Indus Pakistan

2018 ◽  
Vol 10 (1) ◽  
pp. 174-191 ◽  
Author(s):  
Majid Khan ◽  
Yike Liu ◽  
Asam Farid ◽  
Muhammad Owais
Keyword(s):  
Seismic Data ◽  
Late Eocene ◽  
Indian Plate ◽  
Processing Scheme ◽  
Structural Growth ◽  
Seismic Records ◽  
Exploratory Wells ◽  
Well Data ◽  
Seismic Reflection Profiles ◽  
Push Up

Abstract Regional seismic reflection profiles and deep exploratory wells have been used to characterize the subsurface structural trends and seismo-stratigraphic architecture of the sedimentary successions in offshore Indus Pakistan. To improve the data quality, we have reprocessed the seismic data by applying signal processing scheme to enhance the reflection continuity for obtaining better results. Synthetic seismograms have been used to identify and tie the seismic reflections to the well data. The seismic data revealed tectonically controlled, distinct episodes of normal faulting representing rifting during Mesozoic and transpression at Late Eocene time. A SW-NE oriented anticlinal type push up structure is observed resulted from the basement reactivation and recent transpression along Indian Plate margin. The structural growth of this particular pushup geometry was computed. Six mappable seismic sequences have been identified on seismic records. In general, geological formations are at shallow depths towards northwest due to basement blocks uplift. A paleoshelf is also identified on seismic records overlain by Cretaceous sediments, which is indicative of Indian-African Plates rifting at Jurassic time. The seismic interpretation reveals that the structural styles and stratigraphy of the region were significantly affected by the northward drift of the Indian Plate, post-rifting, and sedimentation along its western margin during Middle Cenozoic. A considerable structural growth along the push up geometry indicates present day transpression in the margin sediments. The present comprehensive interpretation can help in understanding the complex structures in passive continental margins worldwide that display similar characteristics but are considered to be dominated by rifting and drifting tectonics.

scholarly journals Low-frequency noise suppression for desert seismic data based on a wide inference network

2019 ◽  
Vol 16 (4) ◽  
pp. 801-810
Author(s):  
Yue Li ◽  
Wei Yu ◽  
Chao Zhang ◽  
Baojun Yang
Keyword(s):  
Seismic Data ◽  
Low Frequency ◽  
Seismic Exploration ◽  
Frequency Noise ◽  
Layer By Layer ◽  
Low Frequency Noise ◽  
Time Space ◽  
Manual Adjustment ◽  
Inference Network ◽  
Seismic Records

Abstract The importance of seismic exploration has been recognized by geophysicists. At present, low-frequency noise usually exists in seismic exploration, especially in desert seismic records. This low-frequency noise shares the same frequency band with effective signals. This leads to the limitation or failure of traditional methods. In order to overcome the shortcomings of traditional denoising methods, we propose a novel desert seismic data denoising method based on a Wide Inference Network (WIN). The WIN aims to minimize the error between the prediction and target by residual learning during training, and it can obtain a set of optimal parameters, such as weights and biases. In this article, we construct a high-quality training set for a desert seismic record and this ensures the effective training of a WIN. In this way, each layer of the trained WIN can automatically extract a set of time–space characteristics without manual adjustment. These characteristics are transmitted layer by layer. Finally, they are utilized to extract effective signals. To verify the effectiveness of the WIN, we apply it to synthetic and real desert seismic records, respectively. In addition, we compare WIN with f – x deconvolution, variational mode decomposition (VMD) and shearlet transform. The results show that WIN has the best denoising performance in suppressing low-frequency noise and preserving effective signals.

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