Android Project Research Articles

Development of Android-Based Mobile Application Using Gyroscope Sensor

The idea of this project comes into the picture from various uses of sensors that are present in our surroundings. So, we can actually play with them by using two or more sensor mechanisms that end up as new inventions. Therefore, we are keen to look forward to one of the highly scoped and well-furnished sensors i.e., Gyroscope Sensor with an element of Light Sensor. This sensor is capable of measuring the orientation of the body and the angular velocity of the object. In our android project, we embedded the flashlight feature in the Gyro sensor’s angle alteration logic. This mechanism successfully leads to the flashlight of the camera getting ON & OFF when the device is tilted or shifted along the reference angle. This collaboration of sensors plays an important role for a device that does not have that feature.

A Practical Approach: TSHAN Cab Booking System

Safe cab android project is one such project which will responsible to provide taxis during your journey time. When you are in need to hire taxis for travelling purpose use this app and based on the information received from this app, taxi driver will able to get your location and available to provide you the service. This system uses the feature of GPS using which the taxi driver will locate you using its google map and with the help of GPS compass.

Dynamic Capability and Open-Source Strategy in the Age of Digital Transformation

Today, Industry 4.0 technologies, such as Big Data analytics and mobile technologies, are forcing firms to seek new ways to create and deliver customer value. We argue that the Android project, one of the most successful open-source digital platforms, reflects a new business model in the age of digital transformation. In the Android community, application developers create and sell applications for the Android operating system provided by the open-source firm (Google), and share the profit with Google. Such an open-source strategy forces the open-source firm to give up the profits from selling the operating system to customers. A firm generally chooses an open-source strategy to increase its user network size. Using the concept of creative intensity, or the speed of idea generation, we offer a new explanation regarding the benefits of an open-source strategy in the age of digital transformation. We investigate how to enhance creative intensity and profit on the open-source digital platform. Our model suggests that an open-source strategy effectively manages the diminishing value of ideas and, thus, facilitates the dynamic capability of an open-source firm.

MASSIVE LABOR COOPERATION IN ANDROID DEVELOPMENT: A CHANGE OR AN EXPANSION OF CAPITALIST LABOR?

The productive forces development in the capitalist production model demanded intensive uses of information and communication technologies. This condition promotes the formation of new ways of labor organization and collaborates for mass cooperation process emergence in the production of digital goods. The research object was the development of the Android project, led by Google. The research was conducted following the Critical Epistemology of Concrete - CEC and following the theoretical body of the Political Economy of Power. The descriptions of the CEC research method were the basis for treatment information collected by documentary analyses, nonparticipating observations, and applied interviews. The study indicated that the labor on massive cooperation does not surpass the generator labor of surplus-value appropriate by capital, even promoting significant changes in the Marxist category Cooperation. Also, the development of capitalism continues incorporating technological elements in the labor organization and masking fundamental aspects to ensure control over the work and the extraction of surplus-value, even if apparently the labor had become more “free”. Finally, the research has shown that the classic Marxist categories are still contemporary and function to understand the reality moves in organizations. Normal 0 21 false false false PT-BR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Tabela normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-pagination:widow-orphan; font-size:10.0pt; font-family:Calibri,sans-serif; mso-bidi-font-family:Times New Roman;} The productive forces development in the capitalist production model demanded intensive uses of information and communication technologies. This condition promotes the formation of new ways of labor organization and collaborates for mass cooperation process emergence in the production of digital goods. The research object was the development of the Android project, led by Google. The research was conducted following the Critical Epistemology of Concrete - CEC and following the theoretical body of the Political Economy of Power. The descriptions of the CEC research method were the basis for treatment information collected by documentary analyses, nonparticipating observations, and applied interviews. The study indicated that the labor on massive cooperation does not surpass the generator labor of surplus-value appropriate by capital, even promoting significant changes in the Marxist category Cooperation. Also, the development of capitalism continues incorporating technological elements in the labor organization and masking fundamental aspects to ensure control over the work and the extraction of surplus-value, even if apparently the labor had become more “free”. Finally, the research has shown that the classic Marxist categories are still contemporary and function to understand the reality moves in organizations.

Currency Recognition App

Visually Impaired & foreign people are those people who have vision impairment or vision loss. Problems faced by visually impaired in performing daily activities are in great number. They also face a lot of difficulties in monetary transactions. They are unable to recognize the paper currencies due to similarity of paper texture and size between different categories. This money detector app helps visually impaired patients to recognize and detect money. Using this application blind people can speak and give command to open camera of a smartphone and camera will click picture of the note and tell the user by speech how much the money note is. This Android project uses speech to text conversion to convert the command given by the blind patient. Speech Recognition is a technology that allows users to provide spoken input into the systems. This android application uses text to speech concept to read the value of note to the user and then it converts the text value into speech. For currency detection, this application uses Azure custom vision API using Machine learning classification technique to detect currency based on images or paper using mobile camera.

Framework dan Code Generator Pengembangan Aplikasi Android dengan Menerapkan Prinsip Clean Architecture

Android merupakan salah satu sistem operasi smartphone yang memiliki pangsa pasar terbesar di Indonesia. Tingginya pangsa pasar Android tersebut memaksa pengembang aplikasi Android menghasilkan aplikasi Android dengan kualitas kode yang baik dan cepat. Akan tetapi, sistem pengembangan aplikasi Android yang sudah ada saat ini kurang efektif karena sangat tergantung pada pengetahuan dan pengalaman yang berbeda-beda antar para pengembang aplikasi Android. Oleh karena itu, diperlukan sebuah pengembangan pemodelan baru untuk mempercepat dan memperingan beban dalam pengembangan aplikasi Android, dengan menghasilkan kode berkualitas baik yang menerapkan prinsip clean architecture. Sistem ini menyediakan sebuah code generator dalam bentuk plugin template di Android Studio yang menghasilkan sebuah framework proyek Android dengan menggunakan arsitektur MVP dan menerapkan prinsip-prinsip clean architecture di dalamnya. Framework tersebut sudah terintegrasi langsung dengan sebuah dependensi library yang berisi fungsi-fungsi umum yang sering digunakan dalam pengembangan aplikasi Android. Hasil pengujian menunjukkan bahwa sistem ini mampu menghemat 42% waktu dan beban dalam pengembangan aplikasi Android serta menghasilkan kode dengan tingkat maintainability sebesar 81%.

Ensemble Techniques-Based Software Fault Prediction in an Open-Source Project

Software engineering repositories have been attracted by researchers to mine useful information about the different quality attributes of the software. These repositories have been helpful to software professionals to efficiently allocate various resources in the life cycle of software development. Software fault prediction is a quality assurance activity. In fault prediction, software faults are predicted before actual software testing. As exhaustive software testing is impossible, the use of software fault prediction models can help the proper allocation of testing resources. Various machine learning techniques have been applied to create software fault prediction models. In this study, ensemble models are used for software fault prediction. Change metrics-based data are collected for an open-source android project from GIT repository and code-based metrics data are obtained from PROMISE data repository and datasets kc1, kc2, cm1, and pc1 are used for experimental purpose. Results showed that ensemble models performed better compared to machine learning and hybrid search-based algorithms. Bagging ensemble was found to be more effective in the prediction of faults in comparison to soft and hard voting.

Software fault prediction based on change metrics using hybrid algorithms: An empirical study

Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and maintenance resources. Software defect prediction studies advocates the use of defect prediction models for identification of bugs prior to the release of the software. Use of bug prediction models can help to reduce the cost and efforts required to develop software. Defect prediction models use the historical data obtained from software projects for training the models and test the model on future release of the software. In the present work, software change metrics have been used for defect prediction. Performances of good machine learning and hybrid algorithms are accessed in prediction of defect with the change metrics. Android project has been used for experimental purpose. Git repository has been used to extract the v4–v5, v2–v5 of android for defect prediction. Obtained results showed that GFS-logitboost-c has best defect prediction capability.

Developing of Android Mobile Application Using Java and Eclipse: An Application

In this work, an article has prepared which can be a guide to researchers who want to start developing Android-based applications. Android is known as an operating system that comes face to face with more than one million applications. While Android sets the ground for different applications, people are aiming for unlimited entertainment for their lives and learning while they are having fun. Mobile application development steps are described for those who want to develop a mobile app for their own business, blog, service or product, but have limited resources for it. The installation steps of the necessary software are mentioned. Adroid SDK and Eclipse ADT installation, Android SDK directory settings, Android SDK and AVD manager settings, It provides detailed information on setting up a virtual device for Android, the hierarchical view and functions of Android project files, creating an Android project from scratch and developing the application. Designs for building NEU-CEIT Android application are written in detail along with the structures in xml and java files. This work will guide the researchers who want to develop applications in the Android Eclipce system environment, without developing the application and running in the emulator.

Comparision of two different andriod versions i.e Lollipop and Marshmallow, and also development of campsys mobile Andriod Application - An Overview

In the previous system, all the information has to view in a hard file, or in website [6]. At the same time while searching any information it is too difficult to access and takes a lot of time to search the particular website. Hence, in order to overcome this problem a smart phone based application using Android can be used to make this process easier, secure and less error prone. More efficient information’s will be achieved through this system. Android is an open source Linux based system developed by Google, and primarily aimed at mobile handsets and other portable devices. In short, we will be using them to accomplish our daily task. One application that falls into this category is the Android Application for College. This College application provides a wide range of useful information which split into several functionalities. These include: academics, news, events, facilities and all the college details. Users can install this application in their android mobile to view all of these college details and make use it.To improve mobile experience for users[17] android project aims to create successful real world products. Android is a mobile OS but it’s not limited to mobile only. It’s currently used in smart phones and televisions. There are many code name of android such as Lollipop, Kitkat, Jelly Bean, Ice cream Sandwich, Froyo, Ecliar, Donut etc. In this paper we are also discussing aboutcomparison of androidLollipop version, its features, and its issues with android Marshmallow versions and also the development of Campsys mobile application. Keywords— Android, Smart Phones, Java, Eclipse platform, Android ADT, Android SD

Design and Implementation of English Electronic Dictionary System for Android

In this paper, based on the Android operating system, an electronic dictionary system on mobile devices is designed. Local word searching is achieved by SQLite database storing and managing data, local word library being built on the res\raw directory in the Android project, and then the Input Stream data being written to corresponding files in other directories; By using the interface of Unabridged Dictionary, calling utf8 encoding scheme to implement the web-based word search.

Recommender Thermometer for Measuring the Preparedness for Flood Resilience Management

A range of various thermometers and similar scales are employed in different human and resilience management activities: Distress Thermometer, Panic Thermometer, Fear Thermometer, fire danger rating, hurricane scales, earthquake scales (Richter Magnitude Scale, Mercalli Scale), Anxiety Thermometer, Help Thermometer, Problem Thermometer, Emotion Thermometer, Depression Thermometer, the Torino scale (assessing asteroid/comet impact prediction), Excessive Heat Watch, etc. Extensive financing of the preparedness for flood resilience management with overheated full-scale resilience management might be compared to someone ill running a fever of 41̊C. As the financial crisis hits and resilience management financing cools down it reminds a sick person whose body temperature is too low. The degree indicated by the Recommender Thermometer for Measuring the Preparedness for Flood Resilience Management with a scale between Tmin=34,0̊ and Tmax=42,0̊ shows either cool or overheated preparedness for flood resilience management. The formalized presentation of this research shows how changes in the micro, meso and macro environment of resilience management and the extent to which the goals pursued by various interested parties are met cause corresponding changes in the “temperature” of the preparedness for resilience management. Global innovative aspects of the Recommender Thermometer developed by the authors of this paper are, primarily, its capacity to measure the “temperature” of the preparedness for flood resilience management automatically, to compile multiple alternative recommendations (preparedness for floods, including preparing your home for floods, taking precautions against a threat of floods, retrofitting for flood-prone areas, checking your house insurance; preparedness for bushfires, preparedness for cyclones, preparedness for severe storms, preparedness for heat waves, etc.) customised for a specific user, to perform multiple criteria analysis of the recommendations, and to select the ten most rational ones for that user. Across the world, no other system offers these functions yet. The Recommender Thermometer was developed and fine-tuned in the course of the Android (Academic Network for Disaster Resilience to Optimise educational Development) project.

The ANDROID case study; Venice and its territory: a general overview

The Work Package 7 (Research Futures & Special Interest Groups) of the ANDROID project, selected Venice and its territory as an emblematic case study of a region that could be affected by cross-border disastrous events. The paper provides a general overview on the topic, trying to organise the large amount of available scientific literature in some strategic cores, identifying undoubted milestones, open questions and future research needs, following a holistic approach to risk assessment. This case study is carried out not only as an engaging exercise, but with the purpose to provide a reference point for scientists and teachers interested to translate multifaceted knowledge into specific solutions. In fact, the paper is strongly linked as a whole to other three ones (presented at the 4th International Conference on Building resilience), which deepen respectively hazard, vulnerability/resilience, and mitigation about the site taken into consideration. Furthermore, the City of Venice takes part to the UNISDR Program “Making Cities Resilient”, and planned a robust intervention, consisting in the realisation of mobile dikes located at the openings of the lagoon (MOSE project, almost terminated), which has been strongly debated since the beginning, due to possible negative consequences on the environment. At last, the paper analyses drawbacks and benefits of the above said intervention, and suggests further proposals for the global safeguard of Venice and its lagoon.

Text Analytics for Android Project

Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and emotion analysis, document summarization, entity relation modelling, interpretation of the output. Already existing text analytics and text mining cannot develop text material alternatives (perform a multivariant design), perform multiple criteria analysis, automatically select the most effective variant according to different aspects (citation index of papers (Scopus, ScienceDirect, Google Scholar) and authors (Scopus, ScienceDirect, Google Scholar), Top 25 papers, impact factor of journals, supporting phrases, document name and contents, density of keywords), calculate utility degree and market value. However, the Text Analytics for Android Project can perform the aforementioned functions. To the best of the knowledge herein, these functions have not been previously implemented; thus this is the first attempt to do so. The Text Analytics for Android Project is briefly described in this article.

Biometric Advisory System to Analyze a User's Post-Disaster Stress Management

This article describes in detail the developed Biometric Advisory System to Analyze a User's Post-Disaster Stress Management. The system is based on algorithms developed by the authors. The system was developed and fine-tuned in the course of the Android project. The authors based their Advisory System on the presumption that, by assigning a user post-disaster stress self-assessment and then looking for the interdependency with the user's biometric parameters (heart rate, blood pressure, pupil, skin conductance and humidity; body, forehead, nose, left and right cheek, chin, left palm and left middle finger temperatures, etc.) recorded at that time, it is possible to determine the link rather accurately. In other words, a user internally senses the actual rating of his/her personal post-disaster stress. Their existing experiences and intuition give users a rather accurate indication about their post-disaster stress. A sufficient number of studies have been performed worldwide and quite many systems have been developed that apply biometric technologies to establish different human states of stress. The global innovative aspects of the Biometric Advisory System, developed by the authors, are primarily that it determines the level and symptoms of the post-disaster stress, carrying out multivariant design of a disaster stress management life cycle (emergency response, recovery, prevention/mitigation and preparedness/readiness) and alternative recommendations applicable to a specific user (on ways to reduce post-disaster stress), performs a multiple criteria analysis of it and selects the ten most rational ones (disaster stress management life cycle and tips) for that user. The Impact of Event Scale-Revised (IES-R) is used as a self-assessment instrument to determine the symptoms of post-disaster stress stress and to draw up recommendations. Also, the users were assessed with the IES-R in order to define the significance of posttraumatic stress symptoms.

The ANDROID Case Study; Venice and its Territory: Existing Mitigation Options and Challenges for the Future

The Work Package 7 (Research Futures & Special Interest Groups) of the ANDROID project, within a specific working group, selected Venice and its territory as an emblematic case study of a region that could be affected by cross-border disastrous events. The paper provides a general overview on the topic, trying to organise the large amount of available scientific literature in some strategic cores, identifying undoubted milestones, open questions and future research needs, following a holistic approach to risk assessment. This case study is carried out not only as an engaging exercise, but with the purpose to provide a reference point for scientists and teachers interested to translate multifaceted knowledge into specific solutions. In fact, the paper is strongly linked as a whole to other three ones (presented at the 4th International Conference on Building resilience by WP7 group participants), which deepen respectively hazard, vulnerability/resilience, and mitigation about the site taken into consideration. Furthermore, the City of Venice takes part to the UNISDR Program “Making Cities Resilient”, and planned a robust intervention, consisting in the realisation of mobile dikes located at the openings of the lagoon (MOSE project, almost terminated), which has been strongly debated since the beginning, due to possible negative consequences on the environment. At last, the paper analyses drawbacks and benefits of the above said intervention, and suggests further proposals for the global safeguard of Venice and its lagoon.

Comparison of Learning Software Architecture by Developing Social Applications versus Games on the Android Platform

This paper describes an empirical study where the focus was on discovering differences and similarities in students working on development of social applications versus students working on development of games using the same Android development platform. In 2010-2011, students attending the software architecture course at the Norwegian University of Science and Technology (NTNU) could choose between four types of projects. Independently of the chosen type of project, all students had to go through the same phases, produce the same documents based on the same templates, and follow exactly the same process. This study focuses on one of projects—Android project, to see how much the application domain affects the course project independently of the chosen technology. Our results revealed some positive effects for the students doing game development compared to social application development to learn software architecture, like motivated to work with games, a better focus on quality attributes such as modifiability and testability during the development, production of software architectures of higher complexity, and more productive coding working for the project. However, we did not find significant differences in awarded grade between students choosing the two different domains.

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