An efficient conversion approach of the bangla infinite verb sentence into unl

This paper presents conversion procedure of Bangla infinite verb sentences to assimilate them into an interlingua representation called Universal Networking Language (UNL). It focuses on the analysis of infinite verbs and develops the morphological rules to resolve morphological analysis between the infinite and finite verbs. This paper also develops semantic rules to perform semantic analysis between the words in a sentence for the EnConverter to convert infinite verb sentence into UNL expression. Finally, we have shown the conversion procedures of a Bangla infinite verb sentence into UNL

Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment

Health-related mobile applications are known as eHealth apps. These apps make people more aware of their health, help during critical situations, provide home-based disease management, and monitor/support personalized care through sensing/interaction. eHealth app usage is rapidly increasing with a large number of new apps being developed. Unfortunately, many eHealth apps do not successfully adopt Human-Centric Issues (HCI) in the app development process and its deployment stages, leading them to become ineffective and not inclusive of diverse end-users. This paper provides an initial assessment of key human factors related to eHealth apps by literature review, existing guidelines analysis, and user studies. Preliminary results suggest that Usability, Accessibility, Reliability, Versatility, and User Experience are essential HCIs for eHealth apps, and need further attention from researchers and practitioners. Therefore, outcomes of this research will look to amend support for users, developers, and stakeholders of eHealth apps in the form of improved actionable guidelines, best practice examples, and evaluation techniques. The research also aims to trial the proposed solutions on real-world projects

Developing Mobile Applications Via Model Driven Development: A Systematic Literature Review

Context: Mobile applications (known as “apps”) usage continues to rapidly increase, with many new apps being developed and deployed. However, developing a mobile app is challenging due to its dependencies on devices, technologies, platforms, and deadlines to reach the market. One potential approach is to use Model Driven Development (MDD) techniques that simplify the app development process, reduce complexity, increase abstraction level, help achieve scalable solutions and maximize cost-effectiveness and productivity. Objective: This paper systematically investigates what MDD techniques and methodologies have been used to date to support mobile app development and how these techniques have been employed, to identify key benefits, limitations, gaps and future research potential. Method: A Systematic Literature Review approach was used for this study based on a formal protocol. The rigorous search protocol identified a total of 1,042 peer-reviewed academic research papers from four major software engineering databases. These papers were subsequently filtered, and 55 high quality relevant studies were selected for analysis, synthesis, and reporting. Results: We identified the popularity of different applied MDD approaches, supporting tools, artifacts, and evaluation techniques. Our analysis found that architecture, domain model, and code generation are the most crucial purposes in MDD-based app development. Three qualities – productivity, scalability and reliability – can benefit from these modeling strategies. We then summarize the key collective strengths, limitations, gaps from the studies and made several future recommendations. Conclusion: There has been a steady interest in MDD approaches applied to mobile app development over the years. This paper guides future researchers, developers, and stakeholders to improve app development techniques, ultimately that will help end-users in having more effective apps, especially when some recommendations are addressed, e.g., taking into account more human-centric aspects in app development

Tailoring microstructure of wire arc additively manufactured C–Mn–Si steel with post process heat treatment

Wire + arc additive manufacturing (WAAM), a promising technology to produce complex parts, was used to produce steel components with a custom-designed cored-metal wire. The chosen chemical composition of the cored wire is known to produced advance high-strength steel. The as-printed microstructure consists of martensite, retained austenite, and different morphological phases of ferrite, including quasi-polygonal, acicular, and Widmanstatten. Nanoindentation shows the highest hardness value for martensite, followed by acicular ferrite and then quasi-polygonal ferrite. However, a considerable spatial microstructural heterogeneity was observed in as-printed samples due to thermal cycling and chemical segregation. A higher fraction of harder martensite phase was observed at the bottom of the printed coupon, and the phase fraction of martensite decreased due to heat accumulation along the deposition height. Microstructural heterogeneity is reflected in the inhomogeneous distribution of nanohardness. Tempering of the printed sample results in carbide precipitation in martensite phases, leading to a decrease in the martensite hardness, but the heterogeneity is conserved. Both quench hardening and quenching and partitioning (Q&P) treatment were found to homogenize the microstructures. The quench-hardened samples\u27 microstructure was comprised of lath martensite, while the Q&P treatment led to formation of tempered martensite and retained austenite