Analyzing Android Application in Real-Time at Kernel Level

In order to ensure safe and stable running of applications, this paper analyses the limitation of traditional process-monitoring methods, and then designs a new real-time process monitor method based on Mandatory Running Control (MRC) technology. This method not only can monitor the processes, but also can control them from system kernel level to improve the reliability and safety of applications, so as to ensure the security and stability of information system.

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Android based real time advance security for parking system in IOT

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.7.10292 ◽

2018 ◽

Vol 7 (2.7) ◽

pp. 197

Author(s):

CH Venkata Sai Kasturi Babu ◽

Manikanta Athuluri ◽

N Venkatram

Keyword(s):

Real Time ◽

Road Safety ◽

Smart Cities ◽

Android Application ◽

Network Connection ◽

Parking System ◽

Recent Trends ◽

Parking Facilities ◽

Made In

In recent trends traffic has become a major problem in most of the cities. There are limited car parking facilities and less road safety precautions observed. So, to address the traffic problems are being made in the field of IoT. This paper will present the basic idea of cloud-based parking system. Cloud will store and process the data between device and mobile. In cloud, stored files will be obtained from anywhere through the network connection. By using the latest technology called IoT for smart cities, we can book the parking slot of a vehicle from anywhere. We need to take registration details for reserving the parking slot and for security purpose we are generating an OTP. By using the OTP, we can book our slot through an android application.

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Kernel-Level Design to Support Partitioning and Hierarchical Real-Time Scheduling of ARINC 653 for VxWorks

2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing ◽

10.1109/dasc.2014.76 ◽

2014 ◽

Cited By ~ 5

Author(s):

Weilong Ruan ◽

Zhengjun Zhai

Keyword(s):

Real Time ◽

Real Time Scheduling ◽

Time Scheduling ◽

Level Design ◽

Kernel Level

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Real time analysis of EEG signals on Android application

2014 International Conference on Advances in Electronics Computers and Communications ◽

10.1109/icaecc.2014.7002387 ◽

2014 ◽

Cited By ~ 1

Author(s):

M Prabhakara ◽

Vaishali Kulkarni

Keyword(s):

Real Time ◽

Android Application ◽

Time Analysis ◽

Eeg Signals ◽

Real Time Analysis

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Formal Analysis of Android Application Behavior with Real-Time Maude

2015 IEEE 3rd International Conference on Cyber-Physical Systems, Networks, and Applications ◽

10.1109/cpsna.2015.11 ◽

2015 ◽

Cited By ~ 1

Author(s):

Shin Nakajima

Keyword(s):

Real Time ◽

Formal Analysis ◽

Android Application ◽

Application Behavior

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Phone Addiction Monitoring : An android Application for Smartphones

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit1952276 ◽

2019 ◽

pp. 1004-1008

Author(s):

Rishabh Gokhru ◽

Kautilya Gelot ◽

Darshit Kotecha ◽

Piyush Hankare ◽

Zalak Kansagra

Keyword(s):

Social Media ◽

Real Time ◽

Android Application ◽

Monthly Basis ◽

Advanced Algorithm ◽

Android Platform ◽

Analysis Application

Phone Addiction Monitor is application which is based on android platform. The “Phone Addiction Monitor” is to developed for manage the time of phone usage and overcome the spending time on social media. Using an advanced algorithm, the app studies your phone usage and calculates addiction score in real time. Show the graph on daily, weekly & monthly basis, so it is easy to analyse the data and manage time. Application show the Analysis application wise so you can see how much time you spend on each application. An adult checks his phone a taping 110 times a day. That makes it once every 14 minutes. And for most people this peak to once every 6 seconds in the evenings. So, people easily track the phone usage

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Sistem Monitoring Frekuensi Denyut Nadi pada Pelari Menggunakan Metode Photoplethysmographic

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.2021863729 ◽

2021 ◽

Vol 8 (6) ◽

pp. 1255

Author(s):

Asih Setiarini ◽

Mahatma Widya Laksana ◽

Basuki Winarno

Keyword(s):

Real Time ◽

Monitoring System ◽

Heart Attack ◽

Heart Beat ◽

Android Application ◽

Data Logger ◽

Organized Sport ◽

Pulse Sensor ◽

The World ◽

Error Of Measurement

Lari merupakan olahraga yang efektif untuk membakar kalori. Namun, olahraga ini mempunyai dampak negatif bagi pelari yang mampu memicu serangan jantung sehingga dibutuhkan alat kesehatan untuk mendeteksi frekuensi denyut nadi saat berlari. Tujuan penelitian ini merancang sistem monitoring frekuensi denyut nadi secara real time pada pelari dengan menggunakan easily plugin pulse sensor berbasis photoplethysmographic. Sensor tersebut terdiri atas transmitter dan receiver infrared yang dipasang pada ujung jari tengah yang mana melalui jaringan kulit mampu mendeteksi volume darah. Fitur buzzer digunakan sebagai alarm jika denyut jantung mencapai 170 Beat Per Minute (BPM). Alat ini juga dilengkapi dengan aplikasi Android yang memudahkan pihak lain memonitoring keadaan denyut nadi pelari. Bluetooth HC-05 sebagai modul komunikasi data antara Arduino dan Android. Alat yang dirancang memiliki error maksimum sebesar 0,73% berdasarkan data percobaan dari 5 partisipan. Berdasarkan hasil pengujian, sistem monitoring frekuensi denyut nadi secara real time mampu mendeteksi serangan jantung saat berlari dan adanya fitur data logger digunakan untuk rekap medis keadaan frekuensi denyut jantung saat berlari tanpa menggunakan aplikasi smartphone Android. AbstractRunning is the most popular workout around the world, because the most accessible, the cheapest and organized sport. However, running is dangerous in people suffering from heart disease. Hence, the medical device to detect heart failure for runners is required. In this paper, a monitoring system and data logger for detecting heart pulse by using easily plugin pulse sensor heart beat and its implementation for runners is newly proposed. The proposed method of sensor to detect the heart beat by using Photoplesthymograph principle. The sensor consists of transmitter and receiver infrared through to skin tissue to detect the blood volume. Different to previous work, the proposed device can be real time to monitor runners while running and have alarm when their heart beat reach 170 BPM. This device is also equipped with an Android application that facilitate other parties to monitor the runner’s heart beat. By using OMRON HEM-7203 as comparison devices, the rate error of measurement result is 0,086% within 5 participans. The proposed device is suitable for heart pulse monitoring system for runners in real time to reduce the heart attack while running.

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