scholarly journals Sketch-Based Spatial Queries for the Retrieval of Human Locomotion Patterns in Smart Environments

2009 ◽  
Vol 2009 ◽  
pp. 1-13 ◽  
Author(s):  
Gamhewage C. de Silva ◽  
Toshihiko Yamasaki ◽  
Kiyoharu Aizawa
Keyword(s):  
User Study ◽  
Real Life ◽  
User Interaction ◽  
Human Locomotion ◽  
Search Algorithms ◽  
Initial System ◽  
Valuable Insight ◽  
Spatial Queries ◽  
Two Stages ◽  
Interaction Strategy

A system for retrieving video sequences created by tracking humans in a smart environment, by using spatial queries, is presented. Sketches made with a pointing device on the floor layout of the environment are used to form queries corresponding to locomotion patterns. The sketches are analyzed to identify the type of the query. Directional search algorithms based on the minimum distance between points are applied for finding the best matches to the sketch. The results are ranked according to the similarity and presented to the user. The system was developed in two stages. An initial version of the system was implemented and evaluated by conducting a user study. Modifications were made where appropriate, according to the results and the feedback, to make the system more accurate and usable. We present the details of the initial system, the user study and the results, and the modifications thus made. The overall accuracy of retrieval for the initial system was approximately 93%, when tested on a collection of data from a real-life experiment. This is improved to approximately 97% after the modifications. The user interaction strategy and the search algorithms are usable in any environment for automated retrieval of locomotion patterns. The subjects who evaluated the system found it easy to learn and use. Their comments included several prospective applications for the user interaction strategy, providing valuable insight for future directions.

Women Safety Application Designed for Smart Phones to Enable Protection and Security Services

2020 ◽  
Vol 17 (12) ◽  
pp. 5358-5363
Author(s):  
K. Nimala ◽  
M. Sangeetha ◽  
D. Saveetha
Keyword(s):  
Physical Abuse ◽  
Real Life ◽  
Smart Phone ◽  
User Interaction ◽  
Smart Phones ◽  
Equal Rights ◽  
Men And Women ◽  
Personal Security ◽  
Security Services ◽  
Safety Application

In India we live in a society where men and women have equal rights but as far as it goes these don’t hold up in real life scenarios and practical situations for women. Despite having all these laws and regulations to protect the rights of a woman, they still face problems. Women have grown powerful and are conquering our world’s greatest positions/frontiers but they face issues with our society’s narrow-minded behavior. Every third woman faces physical abuse/harassment in this world. Women Safety is a matter of concern and a smart phone can be used efficiently for personal security and other protection purposes. The existing apps need the user to interact with the interface and follow a sequence of steps to make them work. We are going to solve it by eliminating the user interaction with the app by providing an instant solution.

scholarly journals Survey on queueing models with standbys support

2018 ◽  
Vol 28 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Sreekanth Kolledath ◽  
Kamlesh Kumar ◽  
Sarita Pippal
Keyword(s):  
Research Work ◽  
Real Life ◽  
Real System ◽  
Queueing Models ◽  
Valuable Insight ◽  
Present Survey ◽  
Survey Article ◽  
Work Done ◽  
Interesting Area ◽  
Modelling System

This paper is a survey article on queueing models with standbys support. Due to many real life applications of queueing models, it has become an interesting area for researchers and a lot of research work has been exerted so far. It is worthwhile to examine the performance based analysis for queueing modelling system as it provides a valuable insight to the tractability of the system and accelerates its efficiency. The provision of standbys to the queueing modelling of a real system is needed for smooth functioning in the presence of its unavoidable failures. The present survey provides a dig into the research work done, and emphasis the sequential developments on queueing models with standbys support.

User Interaction with Linked Data

2016 ◽  
Vol 7 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Dhavalkumar Thakker ◽  
Fan Yang-Turner ◽  
Dimoklis Despotakis
Keyword(s):  
Linked Data ◽  
User Study ◽  
User Interaction ◽  
Heterogeneous Data ◽  
User Studies ◽  
Sensor Data ◽  
Exploratory Search ◽  
Search Tasks ◽  
Algorithmic Support ◽  
Future Work

It is becoming increasingly popular to expose government and citywide sensor data as linked data. Linked data appears to offer a great potential for exploratory search in supporting smart city goals of helping users to learn and make sense of complex and heterogeneous data. However, there are no systematic user studies to provide an insight of how browsing through linked data can support exploratory search. This paper presents a user study that draws on methodological and empirical underpinning from relevant exploratory search studies. The authors have developed a linked data browser that provides an interface for user browsing through several datasets linked via domain ontologies. In a systematic study that is qualitative and exploratory in nature, they have been able to get an insight on central issues related to exploratory search and browsing through linked data. The study identifies obstacles and challenges related to exploratory search using linked data and draws heuristics for future improvements. The authors also report main problems experienced by users while conducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. The approach and lessons learnt can facilitate future work in browsing of linked data, and points at further issues that have to be addressed.

An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems

2009 ◽  
Vol 1 (4) ◽  
pp. 69-90 ◽  
Author(s):  
Adam Grzywaczewski ◽  
Rahat Iqbal ◽  
Anne James ◽  
John Halloran
Keyword(s):  
Information Retrieval ◽  
User Study ◽  
User Interaction ◽  
Context Aware ◽  
Interaction Patterns ◽  
Frequent User ◽  
User Interactions ◽  
Information Retrieval Systems ◽  
Finite Set ◽  
Domain Expertise

Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors that impact the user information retrieval process are not yet available. Parameters like the emotional state of the user and user domain expertise affect the user experience significantly but are not understood by IR systems. This article presents results of a user study that simplifies the way context in IR and its role in the systems’ efficiency is perceived. The study supports the hypothesis that the number of user interaction contexts and the problems that a particular user is trying to solve is related to lifestyle. Therefore, the IR system’s perception of the interaction context can be reduced to a finite set of frequent user interactions.

scholarly journals An insight into the effects of class imbalance and sampling on classification accuracy in credit risk assessment

2019 ◽  
Vol 16 (1) ◽  
pp. 155-178 ◽  
Author(s):  
Kristina Andric ◽  
Damir Kalpic ◽  
Zoran Bohacek
Keyword(s):  
Credit Risk ◽  
Sample Size ◽  
Real Life ◽  
Class Imbalance ◽  
Performance Measure ◽  
Classification Algorithms ◽  
Data Sets ◽  
Valuable Insight ◽  
Data Set ◽  
Class Distribution

In this paper we investigate the role of sample size and class distribution in credit risk assessments, focusing on real life imbalanced data sets. Choosing the optimal sample is of utmost importance for the quality of predictive models and has become an increasingly important topic with the recent advances in automating lending decision processes and the ever growing richness in data collected by financial institutions. To address the observed research gap, a large-scale experimental evaluation of real-life data sets of different characteristics was performed, using several classification algorithms and performance measures. Results indicate that various factors play a role in determining the optimal class distribution, namely the performance measure, classification algorithm and data set characteristics. The study also provides valuable insight on how to design the training sample to maximize prediction performance and the suitability of using different classification algorithms by assessing their sensitivity to class imbalance and sample size.

scholarly journals Between Sound and Voice: Teaching Chinese Tones To Non-Tonal Language Speakers

2021 ◽  
Vol 69 (9) ◽  
pp. 141-158
Author(s):  
Ewa Zajdler
Keyword(s):  
Foreign Language ◽  
Mandarin Chinese ◽  
Acoustic Analysis ◽  
Native Speaker ◽  
Real Life ◽  
Language Instruction ◽  
Voice Teaching ◽  
Two Stages ◽  
Teaching Chinese ◽  
Successful Production

The production of highly intelligible syllables in Mandarin Chinese entails a successful production of tones, which poses a challenge for learners of Chinese as a foreign language. The aim of the current paper is to address this issue by identifying the key tonal features contributing to tone intelligibility in the lexemes produced by Polish learners of Mandarin Chinese as a foreign language. Samples of Polish female students’ tonal pronunciations at two stages of learning were selected and compared with productions made by a female native speaker of Mandarin Chinese from Taiwan. Four syllables produced by the students were selected from a corpus of read-out passages which had already been assessed for the intelligibility of monosyllabic lexemes by native judges. The students’ pronunciation samples (whose pronunciation improved from the A1 minus language level to A2) were analysed using pitch, fundamental frequency contour, and register span criteria, and then compared to the female native speaker’s pronunciations of the same syllables. Importantly, before the results of this analysis are presented, the simplified model of tones widely used in language instruction is compared and contrasted with the acoustic analysis of tonal productions made by the native speaker. This is done to show to what extent the simplified, widely used model reflects real-life tonal productions.

scholarly journals DualFace: Two-stage drawing guidance for freehand portrait sketching

2021 ◽  
Vol 8 (1) ◽  
pp. 63-77
Author(s):  
Zhengyu Huang ◽  
Yichen Peng ◽  
Tomohiro Hibino ◽  
Chunqi Zhao ◽  
Haoran Xie ◽  
...  
Keyword(s):  
User Study ◽  
High Quality ◽  
Contour Lines ◽  
Global Guidance ◽  
Face Contour ◽  
Artistic Training ◽  
Portrait Drawing ◽  
Two Stages ◽  
Global And Local ◽  
Different Levels

AbstractSpecial skills are required in portrait painting, such as imagining geometric structures and facial detail for final portrait designs. This makes it a difficult task for users, especially novices without prior artistic training, to draw freehand portraits with high-quality details. In this paper, we propose dualFace, a portrait drawing interface to assist users with different levels of drawing skills to complete recognizable and authentic face sketches. Inspired by traditional artist workflows for portrait drawing, dualFace gives two-stages of drawing assistance to provide global and local visual guidance. The former helps users draw contour lines for portraits (i.e., geometric structure), and the latter helps users draw details of facial parts, which conform to the user-drawn contour lines. In the global guidance stage, the user draws several contour lines, and dualFace then searches for several relevant images from an internal database and displays the suggested face contour lines on the background of the canvas. In the local guidance stage, we synthesize detailed portrait images with a deep generative model from user-drawn contour lines, and then use the synthesized results as detailed drawing guidance. We conducted a user study to verify the effectiveness of dualFace, which confirms that dualFace significantly helps users to produce a detailed portrait sketch.

scholarly journals UTILIZING QUALITATIVE RESEARCH IN RELIGIOUS-BASED CHARITY GOVERNANCE: EXPERIENCE AND VALUE LESSON

2020 ◽  
Vol 3 (11) ◽  
pp. 92-98
Author(s):  
Nur Farahiah Azmi ◽  
Hazriah Hasan ◽  
Mohd Nor Hakimin Yusoff ◽  
Siti Rohana Mohamad
Keyword(s):  
Qualitative Research ◽  
Real Life ◽  
Language Barrier ◽  
Valuable Insight ◽  
Valuable Contribution ◽  
Participant Recruitment

Qualitative research is highly acknowledged for their valuable contribution to various research disciplines, including governance. Therefore, this paper aimed to report real-life researcher experience in conducting an interview with Islamic charity. Findings from this study revealed four main challenges faced by the researchers, such as participant recruitment, language barrier, confidentiality, and time and venue for the interview. Such outcomes offered valuable insight for future researchers regarding possible challenges and their subsequent solutions in conducting interviews in the context of Islamic charity governance research.

A tool for semi-automatic ground truth annotation of traffic videos

2020 ◽  
Vol 2020 (16) ◽  
pp. 200-1-200-7
Author(s):  
Florian Groh ◽  
Dominik Schörkhuber ◽  
Margrit Gelautz
Keyword(s):  
User Study ◽  
State Of The Art ◽  
User Interaction ◽  
Ground Truth ◽  
Automatic Annotation ◽  
Video Traffic ◽  
Ground Truth Data ◽  
Lighting Conditions ◽  
Ground Truth Generation ◽  
Dynamic Lighting

We have developed a semi-automatic annotation tool – “CVL Annotator” – for bounding box ground truth generation in videos. Our research is particularly motivated by the need for reference annotations of challenging nighttime traffic scenes with highly dynamic lighting conditions due to reflections, headlights and halos from oncoming traffic. Our tool incorporates a suite of different state-of-the-art tracking algorithms in order to minimize the amount of human input necessary to generate high-quality ground truth data. We focus our user interface on the premise of minimizing user interaction and visualizing all information relevant to the user at a glance. We perform a preliminary user study to measure the amount of time and clicks necessary to produce ground truth annotations of video traffic scenes and evaluate the accuracy of the final annotation results.

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