scholarly journals Extracting More Object Usage Scenarios for API Protocol Mining

2015 ◽  
Author(s):  
Deng Chen ◽  
Yanduo Zhang ◽  
Rongcun Wang ◽  
Binbin Qu ◽  
Jianping Ju ◽  
...  
Keyword(s):  
Object Usage

Object utilization and object usage: A single-case study

Neurocase ◽  
2008 ◽  
Vol 14 (2) ◽  
pp. 169-183 ◽  
Author(s):  
François Osiurak ◽  
Ghislaine Aubin ◽  
Philippe Allain ◽  
Christophe Jarry ◽  
Isabelle Richard ◽  
...  
Keyword(s):  
Single Case ◽  
Single Case Study ◽  
Object Usage

scholarly journals Graph-based service recommendation in Social Internet of Things

2021 ◽  
Vol 17 (4) ◽  
pp. 155014772110090
Author(s):  
Yuanyi Chen ◽  
Yanyun Tao ◽  
Zengwei Zheng ◽  
Dan Chen
Keyword(s):  
Internet Of Things ◽  
Social Relationships ◽  
Latent Variable ◽  
Smart Cities ◽  
Knowledge Graph ◽  
Service Recommendation ◽  
Variable Model ◽  
Completion Problem ◽  
Social Internet Of Things ◽  
Object Usage

While it is well understood that the emerging Social Internet of Things offers the capability of effectively integrating and managing massive heterogeneous IoT objects, it also presents new challenges for suggesting useful objects with certain service for users due to complex relationships in Social Internet of Things, such as user’s object usage pattern and various social relationships among Social Internet of Things objects. In this study, we focus on the problem of service recommendation in Social Internet of Things, which is very important for many applications such as urban computing, smart cities, and health care. We propose a graph-based service recommendation framework by jointly considering social relationships of heterogeneous objects in Social Internet of Things and user’s preferences. More exactly, we learn user’s preference from his or her object usage events with a latent variable model. Then, we model users, objects, and their relationships with a knowledge graph and regard Social Internet of Things service recommendation as a knowledge graph completion problem, where the “like” property that connects users to services needs to be predicted. To demonstrate the utility of the proposed model, we have built a Social Internet of Things testbed to validate our approach and the experimental results demonstrate its feasibility and effectiveness.

scholarly journals Measuring Calves' Usage of Multiple Environmental Enrichment Objects Provided Simultaneously

2021 ◽  
Vol 8 ◽  
Author(s):  
Ana C. Strappini ◽  
Gustavo Monti ◽  
Pilar Sepúlveda-Varas ◽  
Inès de Freslon ◽  
José M. Peralta
Keyword(s):  
Observational Study ◽  
Environmental Enrichment ◽  
Video Cameras ◽  
Longitudinal Observational Study ◽  
Holstein Friesian ◽  
Number Of Visits ◽  
Object Usage

This study aims to assess calf usage of five potential enrichment devices provided simultaneously. We used 25 weaned Holstein-Friesian calves housed in groups of five (five replicates), and their behavior was recorded continuously with video cameras. This longitudinal observational study used a pen equipped with a mechanical and fixed brush, cowhide, and horizontal and vertical ropes. Data collected included how many visits each object received per day, the type of object usage, and the duration of the visits. Calves used all five objects at least once, and they used items more during the daytime than at night. Brushes were used mainly for grooming (e.g., rubbing or scratching), while ropes and cowhide for oral interactions (e.g., licking, chewing, and biting), most likely to lack oral stimulations that would naturally be satisfied by suckling and grazing at this age. The objects most frequently used were the mechanical brush and the horizontal rope, and they received the highest number of visits (214.9 and 154.9 bouts/day, respectively). The least chosen object was the stationary brush, which had the lowest number of visits (62.9 bouts/day). The provision of multiple enrichment objects for weaned calves should be considered as they may add complexity and novelty to barren environments.

A Method and Tool for Identifying Domain Components Using Object Usage Information

ETRI Journal ◽  
2003 ◽  
Vol 25 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Woo-Jin Lee ◽  
Oh-Cheon Kwon ◽  
Min-Jung Kim ◽  
Gyu-Sang Shin
Keyword(s):  
Object Usage

scholarly journals Visual Attention Patterns in Adults According to the Use of Things in Aided AAC VSDs: An Eye-tracking Study

2021 ◽  
Vol 26 (3) ◽  
pp. 718-726
Author(s):  
Jin Hui Lee ◽  
Ji Young Na ◽  
Su Hyang Lee ◽  
Bong Won Yi
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Target Object ◽  
Visual Scene ◽  
Partial Group ◽  
Area Of Interest ◽  
Total Fixation ◽  
Object Usage ◽  
The Difference ◽  
Tracking Technology

Objectives: This study aims to investigate patterns of visual attention on a target object in VSDs (Visual Scene Displays) when they are designed with/without an action of usage of the object. We used eye-tracking technology to evaluate how the action of usage of an object in still photographs influenced the visual attention of adults without disabilities. We tried to examine visual attention on the contents of visual scene displays (VSDs).Methods: 25 college students participated in the study. Eye-tracking technology recorded point-of-gaze while participants viewed 20 photographs. Data from eye-tracking provided information on where participants were visually fixated and paid more attention on the presented VSDs including a target object.Results: Both total fixation duration and average fixation count were statistically significant. Participants visually fixated on the target object longer and more often when the object was being used in the presented VSDs. For AOI (Area Of Interest) time of the first fixation, after analyzing only a partial group that had the data match due to the difference in gaze pattern per subject, the average AOI time of the first fixation was shown to be faster when using an object in 6 out of 10 objects.Conclusion: This study supports the inclusion of an action of an object usage in VSDs suggesting that the act of object usage can partially influence the visual attention pattern of a user.

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