Robot-aided cloth classification using depth information and CNNs

The final publication is available at link.springer.comWe present a system to deal with the problem of classifying garments from a pile of clothes. This system uses a robot arm to extract a garment and show it to a depth camera. Using only depth images of a partial view of the garment as input, a deep convolutional neural network has been trained to classify different types of garments. The robot can rotate the garment along the vertical axis in order to provide different views of the garment to enlarge the prediction confidence and avoid confusions. In addition to obtaining very high classification scores, compared to previous approaches to cloth classification that match the sensed data against a database, our system provides a fast and occlusion-robust solution to the problem.Peer ReviewedPostprint (author's final draft

External Program Evaluation: Water, Sanitation and Hygiene (WASH) Program in Ethiopia

USAID/Ethiopia commissioned this study to evaluate an ongoing Millennium Water Alliance (MWA) program and to generate findings that could assist in developing monitoring and evaluation indicators for future use. As of 2008, MWA was implementing eight WASH projects in 28 districts, with stated goals of improving access to sustainable and adequate water, improving access to sanitation services, increasing community awareness, and promoting safe hygiene practices. The evaluation calls MWA's progress encouraging overall, but notes that the one to two year planning horizons used were not enough to cause internalized behavior change. Furthermore, the authors recommend investing more in research and development; adopting harmonized approaches and best practices as well as innovative methodologies; building capacity of district water, health, and education offices; and linking the MWA program with other government, USAID, WSP and UNICEF programs

Negotiating over mobile phones: calling or being called can make the difference

Mobile phones pervade our everyday life like no other technology, but the effects they have on one-to-one conversations are still relatively unknown. This paper focuses on how mobile phones influence negotiations, i.e., on discussions where two parties try to reach an agreement starting from opposing preferences. The experiments involve 60 pairs of unacquainted individuals (120 subjects). They must make a “yes” or “no” decision on whether several objects increase the chances of survival in a polar environment or not. When the participants disagree about a given object (one says “yes” and the other says “no”), they must try to convince one another and reach a common decision. Since the subjects discuss via phone, one of them (selected randomly) calls while the other is called. The results show that the caller convinces the receiver in 70 % of the cases ( p value = 0.005 according to a two-tailed binomial test). Gender, age, personality and conflict handling style, measured during the experiment, fail in explaining such a persuasiveness difference. Calling or being called appears to be the most important factor behind the observed result

Channel and spatial attention mechanism for fashion image captioning

Image captioning aims to automatically generate one or more description sentences for a given input image. Most of the existing captioning methods use encoder-decoder model which mainly focus on recognizing and capturing the relationship between objects appearing in the input image. However, when generating captions for fashion images, it is important to not only describe the items and their relationships, but also mention attribute features of clothes (shape, texture, style, fabric, and more). In this study, one novel model is proposed for fashion image captioning task which can capture not only the items and their relationship, but also their attribute features. Two different attention mechanisms (spatial-attention and channel-wise attention) is incorporated to the traditional encoder-decoder model, which dynamically interprets the caption sentence in multi-layer feature map in addition to the depth dimension of the feature map. We evaluate our proposed architecture on Fashion-Gen using three different metrics (CIDEr, ROUGE-L, and BLEU-1), and achieve the scores of 89.7, 50.6 and 45.6, respectively. Based on experiments, our proposed method shows significant performance improvement for the task of fashion-image captioning, and outperforms other state-of-the-art image captioning methods

Effects of Peace Education and Grace and Courtesy Education on Social Problem-Solving Skills and Social Awareness

This action research studied the impact of peace education and portions of the Positive Discipline curriculum in a three-six primary Montessori classroom. During five weeks of implementing the research, sixteen students participated in class meetings for twenty minutes a day. The peace table activities and wheel of choice lessons were conducted individually and as a whole class. The peace table activities included a set of mini dishes on a tray, a rain stick, and a peace rose. The wheel of choice consisted of pictures and words of examples of what students could choose to help them solve problems. A few examples are count to ten, apologize, ask for help, and write your name on the agenda. Implementing the presentations into the classroom environment became a work for the students to use if needed and did not occur daily. As a work choice, the previous activities were available on tables and children were allowed to choose the work as many times as they felt was necessary. The research began with baseline data collection through SWIS (School Wide Information System) referral records, student interviews, and student surveys. Sources of data obtained during the study included interviews, surveys, observation tally sheets, and a field journal. The results presented an increase in social awareness and problem-solving skills through the class meetings. Students began acknowledging problems and brainstorming solutions. Class meetings will continue daily to extend the positive problem-solving capabilities and mindfulness students developed in their classroom community

An aesthetic for sustainable interactions in product-service systems?

Copyright @ 2012 Greenleaf PublishingEco-efficient Product-Service System (PSS) innovations represent a promising approach to sustainability. However the application of this concept is still very limited because its implementation and diffusion is hindered by several barriers (cultural, corporate and regulative ones). The paper investigates the barriers that affect the attractiveness and acceptation of eco-efficient PSS alternatives, and opens the debate on the aesthetic of eco-efficient PSS, and the way in which aesthetic could enhance some specific inner qualities of this kinds of innovations. Integrating insights from semiotics, the paper outlines some first research hypothesis on how the aesthetic elements of an eco-efficient PSS could facilitate user attraction, acceptation and satisfaction

Mapping Multimodal Literacy Practices through Mediated Discourse Analysis: Identity Revision in What Not To Wear

In this conceptual paper, I examine the exaggerated revision critique in one “makeover” television program to illustrate how MDA’s filtering process pinpoints practices of identity revision that are so essential to makeovers, whether in reality television episodes or in schooling. To suggest MDA’s potential for revealing the identity-building accomplished through physical activity with objects, I analyze multimodal practices in one television episode of What Not to Wear, concluding with connections to familiar embodied literacy practices in classrooms. The dramatized and edited excerpts provide vivid examples of gatekeeping that make this fashion makeover program an apt choice for illustrating how the MDA process uncovers identity-building activity