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In the article ‘Gender interpretation in collection of works of Wira Wowk Carnival’ gender is explored from the mythological point of view. Yung system of archetypes is taken into account and also the Ukrainian and Indian psychotypic contexts are confronted. Myths and history of Indian tribes in Latin America are analyzed as such, that light up the features of creative perception of Wira Wowk. The...
Stack Overflow is a learning community for software developers to share and solve programming problems with each other. However, women are often deterred from contributing questions or answers. Research external to programming communities suggest the presence of peers can increase activity from underrepresented users in unfamiliar spaces. To investigate the concept of peer parity, we studied how women...
Earlier studies have analyzed FIE and the community built around it, e.g. the origin, format, and future direction of the conference. We propose a new lens: that of diversity, with the motivation of identifying potential role models or the lack thereof. What is the evolution of the presence of diverse role models in FIE throughout the last decade? In this paper we analyze data containing the list...
Your school reached its target percentage for women in engineering. So what? And now what? With all the discussion and reporting of percentages of women in engineering, educators may be tempted to assume that attaining a target number, or ‘critical mass,’ alone solves the problems related to engagement of a gender diverse student body. We argue that while critical mass may be necessary, it is insufficient...
Agriculture is the backbone of African economies, especially in rural areas where over 70% of people rely on subsistence farming for their livelihood. In Rwanda and Uganda, where Africa Development Promise (ADP) works, 90% of economically active women work in the agricultural sector. Overall women work more and longer hours compared to men because of additional household responsibilities such as preparing...
Computer-mediated negotiation is characterized as an interactive communication and decision-making process between at least two individuals using a digital environment. The negotiators' behavior — which can be described in terms of negotiation style or conflict management — often changes when negotiators interact with other parties in a negotiation. This study considers a negotiation support system...
Gender classification is a well-researched problem, and state-of-the-art implementations achieve an accuracy of over 85%. However, most previous work has focused on gender classification of texts written in the English language, and in many cases, the results cannot be transferred to different datasets since the features used to train the machine learning models are dependent on the data. In this...
Social network analysis is an important set of techniques that are used in many different areas. One such area is intelligence and law enforcement where social network analysis is used to study various kinds of networks. One of the problems with social networks that are extracted from social media is that easily becomes very large and as a consequence difficult to analyze. Therefore, there is a need...
The new age digital and disruptive business models such as sharing economy is one of the promising sector for employment and entrepreneurship opportunities for the young millennial, both globally as well as in India. Trust is considered as an integral part of such business model. Further, the business model, being in its early stages of development, operates largely in unstructured and under regulated...
Most people feel sad or irritable from time to time. They may say they're in a bad mood. A mood disorder is different. It affects a person's everyday emotional state. In psychology, the mood is referred as a positive or a negative emotional state. Due to the complexity and instability of personal mood, assessing and analyzing mood is difficult and inconvenient. This study aims to assess the human...
Automatic recognition of human demographical attributes has implications in a variety of domains, such as surveillance systems, human computer interaction, marketing etc. In this paper, we present an automatic gender recognition method from facial images based on convolutional neural networks. In order to train the network, we merged together several face databases and also gathered and annotated...
In this paper, we use machine learning for profiling authors of online textual media. We are interested in determining the gender and age of an author. We use two different approaches, one where the features are learned from raw data and one where features are manually extracted.We are interested in understanding how well author profiling works in the wild and therefore we have tested our models on...
This paper explains the gender recognition system through a human facial image by using the basic method of Principal Component Analysis (PCA) combined with Linear Discriminant Analysis (LDA). PCA+LDA method performance can be improved by improvising the preprocessing techniques such as resizing the image, equalizing the histogram, and removing the variation of the image background by adding oval...
Delivering persuasive presentation is a challenging task for the university students. One of the difficult parts is grasping the attention of audiences during the critical situations, such as in the early morning or after the lunch break. At the situations, students are not paying more attention to any speeches or presentations occurred in the classroom because of some lapses of attention span such...
Humanoid robots were introduced into the education sector as tools, tutors and companions for students to make learning more effective. This research does reliability and validity test for a proposed questionnaire which looks at various perceptions issues such as how students perceive gender and the role that humanoid robots have. Such a valid and reliable questionnaire could help the research team...
Smartphone use has become popular and integrated into our daily life, such as mobile learning. However, while we would like to promote mobile learning, we have little knowledge on how users use their mobile phone. Therefore, this study aims to understand smartphone use. In data collection, this study contributes by developing an alternate data collection method. This tailor-made smartphone app enables...
The objective of this paper is to report a quantitative assessment of the data obtained in magnetic resonance imaging (MRI) from diffusion-weighted imaging(DWI) sequence in order to establish the specific values of apparent diffusion coefficient (ADC) for meningiomas. Furthermore, the study aims to identify the benign ADC spectrum of this brain tumor and to analyse the further benefits of DWI quantification...
Human gender detection from body profile is an important task for surveillance. Most surveillance cameras are placed at a distance such that it is not possible to see people's face clearly. In this paper, we report the comparison between fast-feature pyramids and deep region-based convolutional neural network (RCNN) to detect a person in surveillance images. Since RCNN performs better in detecting...
A lot of information can be attained with analysing biological signals which are electroencephalogram, electrocardiogram, electromyogram, magnetoencephalogram and photoplethysmography (PPG). This information is utilizez for in both diagnosis and criminal research. Photoplethysmography is a painless, simple and inexpensive optical technique that can be used to detect blood volume changes in microvascular...
Nowadays research has explored to extracting auxiliary information from various biometrie techniques such as fingerprints, face, iris, palm, voice etc. This information contains some features like gender, age, beard, mustache, scars, height, hair, skin color, glasses, weight, facial marks, tattoos etc. All this information contributes more and more to identification. The major changes that come across...
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