scholarly journals PROTOTYPE DESIGN OF SPEED DETECTION MOBILE APPLICATION FOR GOLFER’S SWING MOVEMENT USING COMPUTER VISION COMPARED TO PORTABLE RADAR AND ACCELEROMETER SYSTEMS

2019 ◽  
Vol 1 (1) ◽  
pp. 49-52
Author(s):  
Bagus Wibowo ◽  
Edi Sofyan ◽  
Gembong Baskoro
Keyword(s):  
Computer Vision ◽  
Mobile Application ◽  
Golf Club ◽  
Accelerometer Data ◽  
Application Development ◽  
Software Application ◽  
The Moment ◽  
Swing Speed ◽  
Python Programming ◽  
Prototype Design

Prototype Design of Golf Swing Speed Detection Mobile Application (GSSDMA)/Swing Vision (SV) has been researched and developed on this thesis with computer vision technique. Frames detection method has been implemented to performed calculation of the swing speed by manually identification of the frames from start of down swing to impact of the ball with Matlab Video Viewer as initial reference calculation, when head of golf club start to move to downswing as frame-zero/fr0 and frame-n/frn as end of the frame after the head of golf club impact to the ball and then the total frames can be determined by frn minus fr0 (frn - fr0) which will be used for speed calculation reference formula using Python programming.Both measurements have been recorded using RADAR and accelerometer systems to get references of swing speed data measurement from some golfers in golf driving ranges. Accelerometer data measurements have been selected to use as reference of speed calculation with Python programming for software application development since deviation standard is lower than the RADAR systems.There is a limitation on the hand phone camera speed which only have thirty frames per second (30 fps) and the maximum swing speed can be tested with this camera is 101,2 mph at the moment which has three frames (frn-fr0). Found a swing speed formula y = - 0,53x3 + 9,53x2 – 61,27x + 213,35 from experimental data’s of Driver, 6 Iron, 8 Iron and Pitching and maximum swing speed can be predicted is 124,69 mph which has two frames.

scholarly journals Prototype User Interface Mobile App E-Learning

2021 ◽  
Vol 7 (1) ◽  
pp. 61-70
Author(s):  
Henderi Henderi ◽  
Praditya Aliftiar ◽  
Alwan Hibatullah
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Mobile Application ◽  
Mobile App ◽  
User Needs ◽  
High Fidelity ◽  
Application Development ◽  
E Learning ◽  
Prototype Design ◽  
People Today

Information technology has developed rapidly from time to time. One of the technologies commonly owned by many people today is smartphones with the Android and IOS platforms. By knowing this factor, mobile developers compete with each other to design applications with attractive user interfaces so that users are interested in using them. At this stage in mobile application development, starting from designing a user interface prototype. This stage aims to visualize user needs, improve user experience and simplify the coding process by programmers. In this study, researchers applied the prototype method. This research produces a prototype design for the e-learning application user interface which consists of a high fidelity prototype.

scholarly journals Analyzing of Customer Requirements to Eric Mobile Application

2018 ◽  
Vol 14 (2) ◽  
pp. 15-22
Author(s):  
Juraj Čamaj ◽  
Jaroslav Mašek ◽  
Martin Kendra
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Application ◽  
Mobile App ◽  
Mobile Technologies ◽  
Customer Requirements ◽  
Application Development ◽  
Information Centre ◽  
Software Application ◽  
Basic Characteristics

Abstract Users in transport, forwarding and logistics companies use the mobile technologies for connect to existing information systems. By solving the ERIC Mobile project, these services will also be available on mobile devices. The article is aimed at lancing the requirements of all types of customers for the ERIC Mobile app. After the basic characteristics of the mobile device, the operation systems, the application development typology, the authors focus on the developing application “ERIC Mobile”. The aim of the article is to provide relevant requirements for further research and development of the software application of the rail freight information centre in Europe for end users of mobile devices such as smartphones and tablets.

scholarly journals Effort Estimation in Traditional and Agile Mobile Application Development & Testing

2018 ◽  
Vol 12 (3) ◽  
pp. 1265
Author(s):  
Anureet Kaur ◽  
Kulwant Kaur
Keyword(s):  
Software Development ◽  
Mobile Devices ◽  
Mobile Application ◽  
Mobile Apps ◽  
Human Life ◽  
Mobile App ◽  
Effort Estimation ◽  
Application Development ◽  
Estimation Techniques ◽  
Software Application

Smartphones<em>/</em>mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.

scholarly journals Mobile Application Development for Optimal and Rapid Diagnosis of Vine Diseases

2017 ◽  
Vol 74 (1) ◽  
pp. 46
Author(s):  
Liliana Lucia TOMOIAGĂ ◽  
Cristian TOMOIAGĂ ◽  
Claudia TODORAN
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Mobile Application ◽  
Rapid Diagnosis ◽  
Crop Loss ◽  
Application Development ◽  
Affected Plant ◽  
Healthy State ◽  
Mobile Application Development ◽  
Widespread Availability

In a perennial culture such as the vine, late and inaccurate identification of the damage created by diseases and pests can cause significant crop loss or even the loss of the entire production. To support the growers in Romania, in 2010, we printed and also posted online on www.scvblaj.ro a guide on how to diagnose vine diseases and pests that describes in detail the most important pathogens together with pictures and various solutions in order to help the growers to bring the plants back to a healthy state whenever possible. Given the high number of growers in our country, especially small family growers, the guide is addressed to anyone, regardless of their past experience.Between 2010 and 2014, thousands of growers have accessed the online version of the guide and contacted us to request additional help. We gathered a lot of valuable information during that time but most notably the fact that many growers were contacting us too late, when a disease had already spread beyond any hope of recovery or worse after a wrong treatment was applied because of an inaccurate diagnosis.In recent years we noticed an increasing number of wrong diagnostics of vine diseases and a tendency for pathogens to be more aggressive. Thus finding a new solution, easily accessible to growers that would offer a faster, easier and up to date diagnosis, was necessary.Recent developments in the field of machine learning (Ghahramani, 2015), breakthroughs in computer vision (Krizhevsky et al., 2012) and the availability of cheap computational hardware has led us to look for a way to automatically detect and classify a disease just by having a computer or a mobile phone process a picture of an affected plant. Given the widespread availability of mobile devices, we believe we can help the vine growers further.

PERANCANGAN SISTEM PEMBELAJARAN MOBILE (M-LEARNING) BERBASIS ANDROID PADA MATERI BANGUN DATAR DAN BANGUN RUANG

2018 ◽  
Vol 1 (2) ◽  
pp. 1-17
Author(s):  
Tedi Budiman
Keyword(s):  
Mobile Learning ◽  
Design Method ◽  
Case Study Method ◽  
Application Development ◽  
Software Application ◽  
Rapid Application Development ◽  
User Design ◽  
Design Software ◽  
Application Programs

One example of the growing information technology today is mobile learning, mobile learning which refers to mobile technology as a learning medium. Mobile learning is learning that is unique for each student to access learning materials anywhere, anytime. Mobile learning is suitable as a model of learning for the students to make it easier to get an understanding of a given subject, such as math is pretty complicated and always using formulas.The design method that I use is the case study method, namely, learning, searching and collecting data related to the study. While the development of engineering design software application programs that will be used by the author is the method of Rapid Application Development (RAD), which consists of 4 stages: Requirements Planning Phase, User Design Phase, Construction Phase and Phase Cotuver.

A Tracer Study of ICT Graduate Students at Mzuzu University, Malawi

Mousaion ◽  
2019 ◽  
Vol 36 (3) ◽  
Author(s):  
Chimango Nyasulu ◽  
Winner Chawinga ◽  
George Chipeta
Keyword(s):  
Language Processing ◽  
Mobile Application ◽  
First Century ◽  
Application Development ◽  
Job Requirements ◽  
Level Of Satisfaction ◽  
Information And Communication ◽  
Quantitative Design ◽  
The Right ◽  
The University

Governments the world over are increasingly challenging universities to produce human resources with the right skills sets and knowledge required to drive their economies in this twenty-first century. It therefore becomes important for universities to produce graduates that bring tangible and meaningful contributions to the economies. Graduate tracer studies are hailed to be one of the ways in which universities can respond and reposition themselves to the actual needs of the industry. It is against this background that this study was conducted to establish the relevance of the Department of Information and Communication Technology at Mzuzu University to the Malawian economy by systematically investigating occupations of its former students after graduating from the University. The study adopted a quantitative design by distributing an online-based questionnaire with predominantly closed-ended questions. The study focused on three key objectives: to identify key employing sectors of ICT graduates, to gauge the relevance of the ICT programme to its former students’ jobs and businesses, and to establish the level of satisfaction of the ICT curriculum from the perspectives of former ICT graduates. The key findings from the study are that the ICT programme is relevant to the industry. However, some respondents were of the view that the curriculum should be strengthened by revising it through an addition of courses such as Mobile Application Development, Machine Learning, Natural Language Processing, Data Mining, and LINUX Administration to keep abreast with the ever-changing ICT trends and job requirements. The study strongly recommends the need for regular reviews of the curriculum so that it is continually responding to and matches the needs of the industry.

Development of “My Retainers” mobile application: Triangulation of two qualitative methods (Preprint)

2019 ◽  
Author(s):  
Dalya Al-Moghrabi ◽  
Fiorella Beatriz Colonio-Salazar ◽  
Ama Johal ◽  
Padhraig Seamus Fleming
Keyword(s):  
Behaviour Change ◽  
Mobile Applications ◽  
Visual Information ◽  
Mobile Application ◽  
Behavioural Change ◽  
Patient Experiences ◽  
Application Development ◽  
Participant Preferences ◽  
Orthodontic Retainers ◽  
Purposive Sample

BACKGROUND Diligent wear of removable orthodontic retainers requires prolonged compliance and is invariably necessary to preserve optimal results. Patient-informed behaviour-change interventions represent a promising and novel means of enhancing compliance with retainer wear. OBJECTIVE To describe the development of a patient-informed mobile application aimed to enhance retainer wear. METHODS Four aspects were considered during mobile application development: participant preferences; analysis of publicly-available retainer-related posts on Twitter; available interventions; and behaviour-change theories. Audio-recorded one-to-one interviews were conducted with a subset of participants to account for patient preferences in terms of features, design and content. A criterion-based purposive sample of participants wearing vacuum-formed retainers for at least 4 years was used. Thematic analysis of transcribed data was undertaken. RESULTS The need to facilitate communication with the treating clinician, responsive reminder and tracking systems, and access to useful and engaging written and visual information, in addition to other personalised and interactive features were considered important. Concerns related to retainer wear shared on Twitter informed an exhaustive list of frequently-asked questions. Application features were mapped to relevant theoretical constructs. Determinants of existing behavioural change theories were used to link application features to expected outcomes. CONCLUSIONS A holistic process involving both patient and professional input can be useful in informing the development of mobile applications. The orthodontic application (“My Retainers”) will undergo further scrutiny in relation to its effectiveness in inducing behavioural change and concerning patient experiences prior to finalisation.

scholarly journals Google Play Content Scraping and Knowledge Engineering using Natural Language Processing Techniques with the Analysis of User Reviews

2020 ◽  
Vol 30 (1) ◽  
pp. 192-208 ◽  
Author(s):  
Hamza Aldabbas ◽  
Abdullah Bajahzar ◽  
Meshrif Alruily ◽  
Ali Adil Qureshi ◽  
Rana M. Amir Latif ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Language Processing ◽  
Mobile Application ◽  
Knowledge Engineering ◽  
Machine Learning Algorithms ◽  
Application Development ◽  
User Reviews ◽  
N Gram ◽  
Logistic Regression Algorithm ◽  
Google Play

Abstract To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user’s feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave people an opportunity to interact and express their review, rate and share their feedback about applications. In this paper we have scrapped 506259 of user reviews and applications rate from Google Play Store from 14 different categories. The statistical information was measured in the results using different of common machine learning algorithms such as the Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. Different parameters including the accuracy, precision, recall, and F1 score were used to evaluate Bigram, Trigram, and N-gram, and the statistical result of these algorithms was compared. The analysis of each algorithm, one by one, is performed, and the result has been evaluated. It is concluded that logistic regression is the best algorithm for review analysis of the Google Play Store applications. The results have been checked scientifically, and it is found that the accuracy of the logistic regression algorithm for analyzing different reviews based on three classes, i.e., positive, negative, and neutral.

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