Snap-n-Snack: a Food Image Recognition Application

Many people desire to be informed about the nutritional specifics of the food they consume. Current popular dietary tracking methods are too slow and tedious for a lot of consumers due to requiring manual data entry for everything eaten. We propose a system that will take advantage of image recognition and the internal camera of Android phones to identify food based off of a picture of a user’s plate. Over the course the last year, we trained an object detection model with images of different types of food, built a mobile application around it, and tested their integration and performance. We believe that our program meets the requirements we set out for it at its conception and delivers a simple, fast, and efficient way of tracking one’s diet

Computing Graduate Employability: Sharing Practice

Computing is one of the largest subject areas in Higher Education, and is taught in almost every institution, graduating around 9,000 students each year. However Computing graduates are recorded as having the highest unemployment rates for all subjects (11% for Computing compared with an overall rate of 7% for graduates of all subjects). This new report, jointly published by the Council of Professors and Heads of Computing (CPHC) and Higher Education Academy (HEA) highlights the depth, complexity and richness of employability practices in the sector, and aims to share those practices more widely. The report places practice in a comparative context so that departments may learn what works from each other. It draws on research gathered from over fifty Higher Education institutions in a series of workshops, focus groups and interviews. Throughout, participants’ voices are given priority, with the report structured around the common employability challenges faced by academics. Within that structure, clusters of similar practice (those which appear in several institutions) are presented, together with a series of showcases providing rich detail of specific interventions. Challenges discussed within the report’s three themes of ‘Addressing Employability’, ‘Curriculum Issues’ and ‘Placements’ include ‘the employability agenda’, ‘student engagement’, ‘curriculum design’, ‘reaching “tipping point”’ and ‘finding alternatives to the “sandwich year”’ and are balanced throughout with a ‘View from Employers’. Clusters identify good practice from ‘hackathons’, competitions, mentoring, ‘compulsion’, an employer-led curriculum, industry-focused projects and placement preparation, application, monitoring, return, assessment and alternatives. Showcases highlight practice in ‘auditing employability’, ‘dedicated placement support’, ‘multiplicity of opportunities’, ‘short placement modules’, ‘think future’, ‘summer internships’ and ‘transition week’ from the universities of York, Kent, London South Bank, West of Scotland, Edinburgh Napier, Southampton and Brunel London, amongst other

Building and Executing MOOCs: A Practical Review of Glasgow's First Two MOOCs (Massive Open Online Courses)

No abstract available

Analysis of the pedagogical perspective of the MOOCs available in Portuguese

After an initial stage of exponential growth in MOOCs, a need has arisen of to address several different aspects of these innovations in order to understand and develop them from different perspectives, such as this one, with the analysis of pedagogical dimensions aimed at improving course design. This paper presents an updated review of the literature and proposes five research lines for an in-depth approach. This study is part of a broader research project1 and here analyses 356 MOOCs delivered in Portuguese by 16 different platforms. The research design is quantitative, non-experimental and transversal. An adaptation of the MOOC Educational and Interactive Indicators Instrument —INdiMOOC-EdI— was used in the data collection process. The reliability and internal consistency analysis of that adaptation for the whole sample resulted in a Cronbach alpha score of 0.731. The data obtained enable us to classify the existing MOOCs in Portuguese according to descriptive, formative, and interactive components. These different types correlate with the quality indices, being negative in the first dimension (descriptive) and positive in the second and third ones (formative and interactive).Funded by the call for R&D&i projects named: «Estudio del impacto de las erubricas federada en evaluación de las competencias en el practicum» (Study on the impact of federated eRubrics in the evaluation of the competences in the practicum). Plan Nacional de I+D+i de Excelencia (National R&D&i Excellence Plan) (2014-16) no. EDU2013-41974-

A market based approach for resolving resource constrained task allocation problems in a software development process

We consider software development as an economic activity, where goods and services can be modeled as a resource constrained task allocation problem. This paper introduces a market based mechanism to overcome task allocation issues in a software development process. It proposes a mechanism with a prescribed set of rules, where valuation is based on the behaviors of stakeholders such as biding for a task. A bid process ensures that a stakeholder, who values the resource most, will have it allocated for a limited number of times. To observe the bidders behaviors, we initiate an approach incorporated with a process simulation model. Our preliminary results support the idea that our model is useful for optimizing the value based task allocations, creating a market value for the project assets, and for achieving proper allocation of project resources specifically on large scale software projects

Point Cloud Framework for Rendering 3D Models Using Google Tango

This project seeks to demonstrate the feasibility of point cloud meshing for capturing and modeling three dimensional objects on consumer smart phones and tablets. Traditional methods of capturing objects require hundreds of images, are very slow and consume a large amount of cellular data for the average consumer. Software developers need a starting point for capturing and meshing point clouds to create 3D models as hardware manufacturers provide the tools to capture point cloud data. The project uses Googles Tango computer vision library for Android to capture point clouds on devices with depth-sensing hardware. The point clouds are combined and meshed as models for use in 3D rendering projects. We expect our results to be embraced by the Android market because capturing point clouds is fast and does not carry a large data footprint

Spartan Daily May 15, 2012

Volume 138, Issue 55https://scholarworks.sjsu.edu/spartandaily/1054/thumbnail.jp