Android Mobile Phone Research Articles

An Intervention Delivered by Mobile Phone Instant Messaging to Increase Acceptability and Use of Effective Contraception Among Young Women in Bolivia: Randomized Controlled Trial.

BackgroundAlthough the most effective methods of contraception are available in Bolivia, unmet need for contraception among women aged 15 to 19 years is estimated to be 38% (2008), and the adolescent fertility rate is 71 per 1000 women (2016). Mobile phones are a popular mode to deliver health behavior support. We developed a contraceptive behavioral intervention for young Bolivian women delivered by mobile phone and guided by behavioral science. The intervention consists of short instant messages sent through an app over 4 months.ObjectiveThis trial aimed to evaluate the effect of the intervention on young Bolivian women’s use of and attitudes toward the effective contraceptive methods available in Bolivia.MethodsThis was a parallel group, individually randomized superiority trial with a 1:1 allocation ratio. Women were eligible if they were aged 16 to 24 years, owned a personal Android mobile phone, lived in La Paz or El Alto, reported an unmet need for contraception, and could read Spanish. The target sample size was 1310 participants. Participants allocated to the intervention had access to an app with standard family planning information and intervention messages. Participants allocated to the control group had access to the same app and control messages. Coprimary outcomes were use of effective contraception and acceptability of at least one method of effective contraception at 4 months. Secondary outcomes were use of effective contraception during the study, acceptability of the individual methods, service uptake, unintended pregnancy, and abortion. Process outcomes included knowledge, perceived norms, personal agency, and intention. Outcomes were analyzed using logistic and linear regression. We also asked participants about physical violence.ResultsA total of 640 participants were enrolled, and 67.0% (429) of them contributed follow-up data for the coprimary outcome, the use of effective contraception. There was no evidence that use differed between the groups (33% control vs 37% intervention; adjusted odds ratio [OR] 1.19, 95% CI 0.80 to 1.77; P=.40). There was a borderline significant effect regarding acceptability (63% control vs 72% intervention; adjusted OR 1.49, 95% CI 0.98 to 2.28; P=.06). There were no statistically significant differences in any of the secondary or process outcomes. The intervention dose received was low. In the control group, 2.8% (6/207) reported experiencing physical violence compared with 1.9% (4/202) in the intervention group (Fisher exact test P=.75).ConclusionsThis trial was unable to provide definitive conclusions regarding the effect of the intervention on use and acceptability of effective contraception because of under recruitment. Although we cannot strongly recommend implementation, the results suggest that it would be safe and may increase the acceptability of effective contraception if the intervention messages were offered alongside the download of the app.Trial RegistrationClinicalTrials.gov NCT02905526; https://clinicaltrials.gov/ct2/show/NCT02905526

EFEKTIVITAS PENYUSUNAN BAHAN AJAR BERBASIS WEBSITE PADA PENGEMBANGAN KOMPETENSI WIDYAISWARA BERJENJANG

The purpose of this study to determine the effectiveness of the preparation of web-based teaching materials exelearning as a new curriculum, with a quantitative descriptive method. Web-based authoring application program known as eXe (the elearning xhtml editor) is an open source program developed and easy to use by people who do not understand html programming language though, this application can be opened through the application android mobile phone or leptop with internet protocol (IP) address or IP address without bandwidth. The new curriculum is expected to enrich the creative and interactive classroom learning, the research results obtained average score of competence test 47.27, the effectiveness percentage of 54.54% with high category, 18.18% with high enough category, and 27.30% low category. Keywords : effectiveness, teaching material, exelearning

Developing Mental or Behavioral Health Mobile Apps for Pilot Studies by Leveraging Survey Platforms: A Do-it-Yourself Process.

BackgroundBehavioral health researchers are increasingly recognizing the potential of mobile phone apps to deliver empirically supported treatments. However, current options for developing apps typically require large amounts of expertise or money.ObjectiveThis paper aims to describe a pragmatic do-it-yourself approach for researchers to create and pilot an Android mobile phone app using existing survey software (eg, Qualtrics survey platform).MethodsThis study was conducted at an academic research center in the United States focused on developing and evaluating behavioral health technologies. The process outlined in this paper was derived and condensed from the steps to building an existing app intervention, iCanThrive, which was developed to enhance mental well-being in women cancer survivors.ResultsThis paper describes an inexpensive, practical process that uses a widely available survey software, such as Qualtrics, to create and pilot a mobile phone intervention that is presented to participants as a Web viewer app that is downloaded from the Google Play store. Health researchers who are interested in using this process to pilot apps are encouraged to inquire about the survey platforms available to them, the level of security those survey platforms provide, and the regulatory guidelines set forth by their institution.ConclusionsAs app interventions continue to gain interest among researchers and consumers alike, it is important to find new ways to efficiently develop and pilot app interventions before committing a large amount of resources. Mobile phone app interventions are an important component to discovering new ways to reach and support individuals with behavioral or mental health disorders.

Use and Role of Mobile Phone for Information Services in Agricultural Activities

The main purpose of this study was to determine the use and role of mobile phone for information services in agricultural activities as well as to explore the relationship between the socio-economic characteristics of women farmers and their use of mobile phone in agricultural activities. Data were collected using pre-tested interview schedule from a sample of 85 women farmers during the month of August 2018. Besides descriptive statistics, Pearson’s Product Moment Correlation Coefficient (r) was used to explore the significant influencing factors. Ten (10) different android mobile phone apps were identified which are most frequently used by the women farmers in the study area. Among the mobile apps, ‘vutta or maize app’ was found as the top used mobile app for information services in agricultural activities. This might be because of rapidly spreading of maize cultivation as a highly benefited cereal crops against the climatic change situation in the study area. Findings indicated that among the women farmers, majority (64.7 percent) of the women farmers used mobile phone moderately for information services in agricultural activities followed by 23.5 percent high and only 11.8 percent low used of mobile phone. Among ten socio-economic characteristics of the women farmers, education, annual income, organizational participation, training received and ICT self-efficacy had positive significant relationship and influence of the use of mobile phone in agricultural activities. ‘Insect and disease control measures’ was found the 1st ranked agricultural activities in which mobile phone played highest role for information services. It suggests that issues related to economic impact or effect of mobile phone on sustainable livelihood could be considered for future research to be undertaken.

Job seeker information system using online web based and android mobile phones

In this era of globalization, information technology is very important in the need for accurate, precise and fast information in presenting very complete data and this is one of its important objectives. For this reason, information technology plays an active role in all fields, especially this time in presenting data about Minahasa Regent unemployment that searching for a job, and all information relating to it. The development of internet technology, society is increasingly facilitated in doing several processes, one example is registration of prospective This study uses a Prototype development model that has 3 Stages, namely Listening to Customers, Building to improve prototypes, Customers testing prototypes. Application trials are conducted using Black Box Testing where there are 3 types of trials conducted by the author, namely Developer Test, User admin test, User community test workers who can done by opening the company’s website or job vacancy provider services. Primary data collection is done by in-depth interviews using open-ended questions and observation with critical incident techniques. In this study it was concluded that, Web-based Information System Design, is actually very necessary to find out various kinds of unemployment data and activities around Minahasa Regent. This process made easier because of registrants do not have to come directly to the company or service the provider of the vacancy in question to do the registration process so will automatically save time and costs issued by the registrant. This research will developing a software design and manufacturing web-based process that can do registration and selection of recruitment of prospective workers work online. Also provided information services for prospective workers, among other things, look at the announcement of vacancies work, see the results of the selection of admission of candidates online workforce. So the process recruitment of prospective workers by companies that concerned can be held more transparent, and able to increase interest from prospective workers because of the ease of the process registration.

PENINGKATAN KINERJA KOPERASI MELALUI PENDAMPINGAN MANAJEMEN KEUANGAN PADA KOPERASI 64 BAHARI SURABAYA

64 Bahari Cooperative, located in Kedung Cowek Sub-District, Kenjeran District, has a growing cooperative asset but the management is still having difficulty in preparing financial reports manually. The main agenda in this service program is to procure online-based Sharia cooperative accounting software for fishermen cooperatives. This can be done because the cooperative already has a laptop, most members already have an android mobile phone, and internet access is quite adequate because it is located in the Surabaya City area. In addition, online systems are considered cheaper than offline software because cooperatives do not need to incur server procurement costs that require large costs. Another advantage is that it can be accessed by members wherever and whenever. The result of this program is an increase in the ability of 64 Bahari Cooperative managers to make financial reports independently.

Implementation of Passenger Information and Monitoring Systems in Trans Semarang Bus and Assessment of the Community Perception

One of the methods to raise public interest in Trans Semarang buses is by providing real-time departure and arrival information. Therefore, it is necessary to improve public transportation services using the Monitoring System installed in the Semarang City Transportation Office as well as the Passenger Information System at 5 bus stops of Kesatrian, Elizabeth, UNDIP, UNIKA, and UNNES. This system, however, requires the Automatic Vehicle Location, GPS, and transmission bus's geographical location are determined and sent to the server via the satellite while the tracking info is sent using a wireless system via GSM. The system was designed to display bus location and speed information to estimate arrival time to passengers in real-time to ensure an accurate time of travel is shown on their android mobile phones and monitors at bus stops as well as the Transportation Office. The results obtained from the survey conducted showed 99.2% of 130 respondents were pleased with the implementation of the system.

Keystroke biometrics in the encrypted domain: a first study on search suggestion functions of web search engines

A feature of search engines is prediction and suggestion to complete or extend input query phrases, i.e. search suggestion functions (SSF). Given the immediate temporal nature of this functionality, alongside the character submitted to trigger each suggestion, adequate data is provided to derive keystroke features. The potential of such biometric features to be used in identification and tracking poses risks to user privacy.For our initial experiment, we evaluate SSF traffic with different browsers and search engines on a Linux PC and an Android mobile phone. The keystroke network traffic is captured and decrypted using mitmproxy to verify if expected keystroke information is contained, which we call quality assurance (QA). In our second experiment, we present first results for identification of five subjects searching for up to three different phrases on both PC and phone using naive Bayesian and nearest neighbour classifiers. The third experiment investigates potential for identification and verification by an external observer based purely on the encrypted traffic, thus without QA, using the Euclidean distance. Here, ten subjects search for two phrases across several sessions on a Linux virtual machine, and statistical features are derived for classification. All three test cases show positive tendencies towards the feasibility of distinguishing users within a small group. The results yield lowest equal error rates of 5.11% for the single PC and 11.37% for the mobile device with QA and 23.61% for various PCs without QA. These first tendencies motivate further research in feature analysis of encrypted network traffic and prevention approaches to ensure protection and privacy.

Android Based Defence Robot

Being in the era where the defense robots are implemented, for the purpose of reconnaissance, breaching missions were the patrols have never tried in the war field. In previous conventional systems, the terrain infantry's tough jobs had been done by utilizing zig-bee based teleoperation systems, CMOS cameras & LCD displays. The proposed system is improved with computerized display and Android-based ethical hacking technique. This is to achieve a live video streaming with less time and power consumption between the peripherals. The newly proffered system involves a bot that can perform all directional movements, night vision, pick and place by using gripper, gun projection control. It is based on the user’s instruction from the control room the robot can perform laser shoot and sensing temperature conditions. This can be done simply by utilizing Node MCU (ESP 8266(Wi-Fi module) with inbuilt microcontroller), Android mobile phone, servo motors and a DHT22 or DHT11 (temperature sensor).

Smart Monitoring and Authenticated Door Access from Remote places

Securing our things is an important objective in our day-to-day life. If our belongings are not properly monitored, it may be stolen at any time. Hence the better way is prevention of theft than searching the lost belongings. Recently much importance is given regarding security of our home. There are situations where we may need to provide door access to people when we are away from our home. For example, while working at office, if you want to provide access to a plumber, then remote door access to be provided. By using our proposed work we can monitor our home from remote places and also we can have door access options. An embedded web server is used for the purpose of remote monitoring and control. The system for remote monitoring and control for door access is developed using Raspberry Pi embedded web server. The other components include Passive Infrared sensor (PIR), DC motor and Raspberry Pi camera module. Based on the PIR sensor and camera input, the secure access to the door for any person can be given through remote access. The access to the door can either be provided through application or the concerned web page. Both the application and the web page are password protected. The application is developed as an Android application and it can be installed in any android mobile phone. The web page is developed using PHP which is used as embedded server-side scripting language. After verifying the password the access to control the door is provided. This operation can be used in wide applications where physical presence is not possible all the time.

FNN and Auto Encoder Deep Learning-Based Algorithm for Android Cyber Security

Android is susceptible to malware attacks due to its open architecture, large user base and access to its code. Mobile or android malware attacks are increasing from last year. These are common threats for every internet-accessible device. From Researchers Point of view 50% increase in cyber-attacks targeting Android Mobile phones since last year. Malware attackers increasingly turning their attention to attacking smartphones with credential-theft, surveillance, and malicious advertising. Security investigation in the android mobile system has relied on analysis for malware or threat detection using binary samples or system calls with behavior profile for malicious applications is generated and then analyzed. The resulting report is then used to detect android application malware or threats using manual features. To dispose of malicious applications in the mobile device, we propose an Android malware detection system using deep learning techniques which gives security for mobile or android. FNN(Fully-connected FeedForward Deep Neural Networks) and AutoEncoder algorithm from deep learning provide Extensive experiments on a real-world dataset that reaches to an accuracy of 95 %. These papers explain Deep learning FNN(Fully-connected FeedForward Deep Neural Networks) and AutoEncoder approach for android malware detection.

Evaluation of Hearing Thresholds by Using a Mobile Application in Children with Otitis Media with Effusion

Objective: Otitis media with effusion (OME) is the most common cause of hearing loss in children. Early diagnosis is important as hearing loss affects speech and language development in children. The aim of this study was to compare conventional audiometry with the Android mobile operating system application Hearing Test^TM in the evaluation of hearing thresholds in children with OME and to determine the accuracy and reliability of the mobile application. Design and Study Sample: Fifty school-age children aged between 5 and 15 years with OME in at least 1 ear were included in the study. First, hearing thresholds were obtained by conventional audiometric methods and the degree of hearing loss was determined. Then, the hearing thresholds of the patients were measured using the smartphone-based Hearing Test^TM application. The data were compared using Cohen’s kappa analysis. Results: OME was detected in 88 ears. There was no statistically significant correlation between the hearing threshold results obtained with the mobile phone and conventional audiometry at 500, 1,000, 2,000, and 4,000 Hz. Conclusion: The Android mobile phone application Hearing Test^TM (version 1.1.3) is not an appropriate screening test to detect hearing loss in children with OME.

Algorithm for asthma diagnosis and management at Chitungwiza Central Hospital, Zimbabwe.

Introductionasthma is a chronic inflammatory and a heterogeneous condition of respiratory system whose pathogenesis is linked with variable structural changes. The clinical manifestation of asthma includes attacks of breathlessness, cough, chest tightness and wheezing. Provision of basic equipment and test for asthma diagnosis and access to essential medicines by asthmatic patients reduces morbidity and mortality rates. Significant progress has been made in the diagnosis and management of asthma in other countries but not in the health care delivery system in Zimbabwe. Therefore, the aim of this study was to develop algorithm for asthma diagnosis and management for Zimbabwe.Methodsa two stage Delphi model was used to collect data in order to develop an algorithm of asthma diagnosis and management. A baseline interview with 44 doctors was done to understand their experiences and knowledge regarding asthma diagnosis and management. We collected data using the KoBo Collect Toolbox installed on Android mobile phone and transferred the data to an Excel 2016 spreadsheet for cleaning. The data was qualitatively analysed and themes were constructed. These themes were further explored in stage two at an algorithm development workshop which was led by 4 medical expert panellists in order to develop consensus on the information to be included in the algorithms for asthma diagnosis and management. A total of 15 doctors and 30 nurses participated at the workshop.Resultsdoctors who attended the workshop described the challenges in asthma diagnosis and management that they experienced. These challenges were attributed to lack of basic equipment such as spirometers and Peak Expiratory Flow Meters and tests which included IgE tests, Skin Allergen Tests and RAST. Asthma diagnosis clinical history and management was based on the doctors' knowledge. The doctors indicated the need for refresher courses to update their knowledge on asthma diagnosis and enhance their diagnostic skills. A draft algorithm framework for asthma diagnosis was developed at the workshop and later refined by the core-research team. The final algorithm described in this paper was circulated for further contributions and endorsement by the asthma experts.Conclusionwe established the need for doctors to receive constant refresher courses on asthma diagnosis for upskilling. We recommend adoption by the Zimbabwe's Ministry of Health and Child Care of the asthma diagnostic algorithm we developed.

Design and Implementation of App System for Legal Consulting Based on JAVA Technology

Abstract At present, the people's legal awareness is becoming stronger and stronger, the demand for legal related business is also increasing, and the volume of legal consultation business is increasing. Traditional legal consultation business processing methods are difficult to adapt to the actual needs. In view of the fact that smart phone applications have become the mainstream at present, the smart phone platform is used to develop the software system of legal consultation business. For the development direction with broad market prospects. Based on this, this paper combines the author's many years of legal experience, analyses the current situation of legal consultation business in China, investigates and studies different types of legal consultation business, and develops a mobile legal consultation system using Android mobile phone platform.

An anti-peep passcode keypad based on hybird image and fuzzy adaptive visual distance adjustment

Because traditional Android mobile phone passcode keypad without anti-peeping function, so we propose a kind of anti-peep code passcode keypad based on hybrid image and fuzzy adaptive visual distance adjustment. First, replace the key bitmaps with hybrid images to solve the problem that password keyboard doesn’t have anti-peeping function. Then, the fuzzy logic and adaptive principle are used to solve the user’s use problem. Finally, it is found through experiments that the time to refresh 10 hybrid images is between 0.38s and 0.48s, and the blur effect of the image can be automatically adjusted according to the distance. The results show that the anti-peep code keyboard makes up for the problem that the traditional passcode keypad has no anti-peeping function.

PEMBUATAN GAME RHYTHM “RHYTHM HOLIC!” PADA PLATFORM ANDROID

“Rhythm Holic” is a 2D Rhythm game for Android. This game uses Unity2D as it game engine and targeted to Android mobile phone. The game design are designed using Unity as it platform and Microsoft Visual Studio for the game script. Player can select all of the 10 song in-game that include EDM, Pop, Art and indie song. In the game the song Beats Per Minute(BPM) varies from as low as 85BPM to as high as 179BPM. All of the song inside the game were unlocked so player can choose which song the player want to play. Player can save the high score by offline service and can be reset via option menu to reset it. Testing was done by the blackbox testing, alpha testing by lecturer, and beta testing by surveying 32 respondens. Test results show that responden got interest while playing because the game was fun, entertaining and the background is interesting. Although the game are fun and entertaining for some player it got some cons that was the tap area was not strategic enough and the appearing not was too little and scroll speed was not fast enough.

QR code based Visitor Management System for Smart Offices

In recent years, owing to the proliferation of the Internet of Things (IoT), homes and offices are being translated into smart homes and offices. The paper demonstrates an IoT system for managing the visitors in a smart office environment. The automation system comprises Raspberry Pi equipped with camera and an android mobile phone. The Raspberry Pi equipped with camera is kept in the visitor’s waiting area and the consulting person possesses an android mobile phone in which the visitor management software is installed. The visitor takes an appointment using the client application installed in his android mobile phone by selecting an available slot and receives a QR code. The consulting person has the access to information regarding each appointment through professional application installed in his android phone. Whenever the visitor shows the QR code to the Raspberry Pi camera, the professional application is notified and the consulting person is able to access the list of all the visitors in real time. An intelligent token system is used to determine the order of passage when several visitors are there at the office.

Android Based Defence Robot

Being in the era where the defense robots are implemented, for the purpose of reconnaissance, breaching missions were the patrols have never tried in the war field. In previous conventional systems, the terrain infantry's tough jobs had been done by utilizing zig-bee based teleoperation systems, CMOS cameras & LCD displays. The proposed system is improved with computerized display and Android-based ethical hacking technique. This is to achieve a live video streaming with less time and power consumption between the peripherals. The newly proffered system involves a bot that can perform all directional movements, night vision, pick and place by using gripper, gun projection control. It is based on the user’s instruction from the control room the robot can perform laser shoot and sensing temperature conditions. This can be done simply by utilizing Node MCU (ESP 8266(Wi-Fi module) with inbuilt microcontroller), Android mobile phone, servo motors and a DHT22 or DHT11 (temperature sensor).

Taking Advantage of Collective Intelligence and BIM-Based Virtual Reality in Fire Safety Inspection for Commercial and Public Buildings

Commercial and public buildings are more vulnerable to fires because of their complex use functions, large number of centralized occupants, and the dynamic nature of the use of space. Due to the large number of these types of buildings and the limited availability of manpower, annual fire inspections cannot ensure the continuous compliance of fire codes. A crowdsourcing application, iInspect, is proposed in this paper to harvest collective intelligence in order to conduct mass inspection tasks. This approach is supported by building information modeling (BIM) based virtual reality (VR) and an indoor real-time localization system. Based on the International Fire Code and 27 fire inspection checklists compiled by various local authorities, a generic list of inspection items suitable for iInspect is proposed, along with a reputation-based monetary incentive model. A prototype of iInspect was created for Android mobile phones, and a case study was performed in an office building in Tianjin, China, for verification of this crowdsourcing inspection approach.

PERANCANGAN DAN IMPLEMENTASI APLIKASI UJIAN SEKOLAH BERBASIS KOMPUTER ATAU COMPUTER BASED TEST (CBT) DI SMK NEGERI 1 KABUPATEN SORONG

Conventional Test System means that the test is done using paper and pencil or the current term Paper-Based Test (PBT), the constraints and shortcomings of the PBT system are no longer effective & efficient. Sorong State Vocational School 1 still uses Paper-Based Test (PBT) to carry out School Exams. Conventional systems must be replaced by computer information technology using Computer-based Tes
 This research resulted in an offline Computer Based Test (CBT) based test system at SMK Negeri 1 Kabupaten Sorong. The CBT system makes it easier for student and teacher examinations, the use of exam paper is reduced, examination of exam results is more efficient and effective, it can save time and money. This application system can be used for grading assignments, daily tests and midterm, final exam can even be used as a national exam tryout. The exam analysis system can make it easier for teachers or principals to accept student exam results and analyze students' abilities more quickly. Students at SMK Negeri 1 Sorong Regency will become accustomed to examinations using a computerized system or using an android mobile phone.