Adaptive Framework for Online Deployment of Virtual Scenes on Heterogeneous Applications

2011 ◽  
Vol 271-273 ◽  
pp. 125-130
Author(s):  
Qian Yi Gu

With emergence of online virtual reality applications, the 3D data of virtual scenes are available to heterogeneous end user devices with relatively limited computing power, resolution and transmission rate. Still, many virtual scenes created by expert developers are composed of complex 3D data models with huge number of geometry primitives and appearence elements. This complexity can cause a lot of problems when the scenes are deployed on the limited access devices. To address this issue, we propose a virtual scene adaptation framework which is able to perform the transformation of given complex 3D model into new forms with less geometric and appearance data. Through the framework, complex virtual scenes are connected with real-world semantics and are preprocessed with selected optimization strategies based on the semantic features matching client devices’ capabilities before deployment.

2021 ◽  
Vol 11 (16) ◽  
pp. 7546
Author(s):  
Katashi Nagao ◽  
Kaho Kumon ◽  
Kodai Hattori

In building-scale VR, where the entire interior of a large-scale building is a virtual space that users can walk around in, it is very important to handle movable objects that actually exist in the real world and not in the virtual space. We propose a mechanism to dynamically detect such objects (that are not embedded in the virtual space) in advance, and then generate a sound when one is hit with a virtual stick. Moreover, in a large indoor virtual environment, there may be multiple users at the same time, and their presence may be perceived by hearing, as well as by sight, e.g., by hearing sounds such as footsteps. We, therefore, use a GAN deep learning generation system to generate the impact sound from any object. First, in order to visually display a real-world object in virtual space, its 3D data is generated using an RGB-D camera and saved, along with its position information. At the same time, we take the image of the object and break it down into parts, estimate its material, generate the sound, and associate the sound with that part. When a VR user hits the object virtually (e.g., hits it with a virtual stick), a sound is generated. We demonstrate that users can judge the material from the sound, thus confirming the effectiveness of the proposed method.


2017 ◽  
Vol 8 (2) ◽  
pp. 563 ◽  
Author(s):  
Usman Ependi

Heuristic evaluation merupakan salah satu bentuk usability testing perangkat lunak yang dinilai oleh pengguna (evaluator). Dalam melakukan heuristic evaluation instrumen penilaian terdiri dari sepuluh (10) pernyataan dengan lima pilihan jawaban dalam skala severity ratings. Dalam penelitian ini heuristic evaluation terhadap aplikasi Depo Auto 2000 Tanjung Api-Api Palembang yang dilakukan oleh 4 evaluator.  Hasil dari heuristic evaluation dikelompokkan kedalam  masing-masing instrumen yaitu visibility of system status dengan nilai 0,75, match between system and the real world dengan nilai 0,25, user control and freedom dengan nilai 0,25, consistency and standards dengan nilai 0,75, error prevention dengan nilai 1, recognition rather than recall dengan nilai 1,25, flexibility and efficiency of use dengan nilai 0,25, Aesthetic and minimalist design dengan nilai 0,25, help users recognize, diagnose, and recover from errors dengan nilai 1 dan Help and documentation dengan nilai 0. Dari hasil heuristic evaluation yang dilakukan menunjukkan bahwa evaluator memberikan nilai 0 dan 1 aplikasi Depo Atuo 2000 Tanjung Api-Api Palembang. Hasil penilaian tersebut menunjukkan bahwa aplikasi yang buat tidak ada masalah usability dan hanya memiliki cosmetic problem sehingga aplikasi Depo Auto 2000 Tanjung Api Api Palembang  dapat dinyatakan layak untuk didistribusikan kepada pengguna akhir (end user). 


2021 ◽  
Vol 10 (7) ◽  
pp. 1511
Author(s):  
Katherine Nameth ◽  
Theresa Brown ◽  
Kim Bullock ◽  
Sarah Adler ◽  
Giuseppe Riva ◽  
...  

Binge-eating disorder (BED) and bulimia nervosa (BN) have adverse psychological and medical consequences. Innovative interventions, like the integration of virtual reality (VR) with cue-exposure therapy (VR-CET), enhance outcomes for refractory patients compared to cognitive behavior therapy (CBT). Little is known about the feasibility and acceptability of translating VR-CET into real-world settings. To investigate this question, adults previously treated for BED or BN with at least one objective or subjective binge episode/week were recruited from an outpatient university eating disorder clinic to receive up to eight weekly one-hour VR-CET sessions. Eleven of 16 (68.8%) eligible patients were enrolled; nine (82%) completed treatment; and 82% (9/11) provided follow-up data 7.1 (SD = 2.12) months post-treatment. Overall, participant and therapist acceptability of VR-CET was high. Intent-to-treat objective binge episodes (OBEs) decreased significantly from 3.3 to 0.9/week (p < 0.001). Post-treatment OBE 7-day abstinence rate for completers was 56%, with 22% abstinent for 28 days at follow-up. Among participants purging at baseline, episodes decreased from a mean of one to zero/week, with 100% abstinence maintained at follow-up. The adoption of VR-CET into real-world clinic settings appears feasible and acceptable, with a preliminary signal of effectiveness. Findings, including some loss of treatment gains during follow-up may inform future treatment development.


2021 ◽  
Vol 92 (3) ◽  
pp. 033528
Author(s):  
J. L. Kline ◽  
P. L. Volegov

2020 ◽  
Vol 2 (2) ◽  
pp. 62-68
Author(s):  
Ahmad Jahrudin ◽  
Pradityo Riyadi

The exploration of oil and gas, especially in Indonesia is experiencing various challenges and varying degrees of difficulty. In this research, the researcher tries to make a 3D modeling from gravity data, where the model will show a structure to determine the central coordinates for drilling. Pertamina has carried out drilling at a location in NTT and it turns out that the well does not produce oil and gas, even though the log data reads an oil showing that the area should have the prospect of producing oil, but the wells that have been drilled do not show any oil or gas, therefore the researchers tried to make a 3D model determine the structure around the production well. In this research, it was seen that the area of the previous drilling point had deviated from the top of the up dome and it was also seen in this structure that the area was deviated by about 3 kilometers and depth must exceed 526 m, the researcher concluded that the drilling point must be at X, Y coordinates.


Sign in / Sign up

Export Citation Format

Share Document