106 research outputs found
The impact of device orientation on small group collaboration during whole class game-based simulations
No full textSubmission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01The student, Litong Zeng, accepted the attached license on 2021-12-08 at 02:50.The student, Litong Zeng, submitted this Thesis for approval on 2021-12-09 at 00:00.This Thesis was approved for publication on 2021-12-09 at 09:47.DSpace SAF Submission Ingestion Package generated from Vireo submission #17406 on 2022-04-06 at 17:18:01Made available in DSpace on 2022-04-29T21:46:20Z (GMT). No. of bitstreams: 2
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Previous issue date: 2021-12-09Embargo set by: Seth Robbins for item 123381
Lift date: 2024-04-29T21:46:25Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 123381
Lift date: 2024-04-29T21:47:53Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I OnlyThis paper evaluated how students collaborated when using a tablet as a shared interface during group activities that required collaborative decision making within complex system ecological simulation. The simulation was a whole class city management game called City Settlers, which supports young students to better understand interdependent systems including environmental sustainability, civics, economics, and history.
While tablets are widely used in today’s K12 classrooms, their impact on collaboration when they are shared among students has not been thoroughly studied. In response, this work examines the challenges surrounding students’ collaboration using shared tablets. The use of tablets as the shared interface for the game critically influences students’ collaborative decision-making and impacts students’ learning and gaming experience. The researcher looked at a small group, three students, collaboratively playing the game City Settlers, and how they use the shared tablet.
The finding shows that the orientation of the shared tablet has an impact on students’ engagement and collaborative learning process. For the student who is seating at the edge of the shared workspace of the tablet, the visibility can be low hence it creates friction for this student’s participation in the game
Reducing Bandwidth Demand for Video Streaming to Kbps
No full textThis demonstration reports the design of a Real-Time Communication (RTC) system, Cactus, which achieves ultra-low bandwidth demand for high-definition video streaming with good video quality. When abstracting the data transmission paradigms, this demonstration validates exchanging computing resources for communication resources.This work is supported by the National Natural Science Foundation of China Projects (No.62202473, No.62441230) and the Tencent Basic Platform Technology Rhino-Bird Focused Research Program. Tong Li is the corre-sponding author ([email protected])
Distribution of fatty acids in the alpine grassland soils of the Qinghai-Tibetan Plateau
No full textAs an important biomarker, fatty acids (FAs) have been extensively used to trace the origin of organic matter in sediments and soils. However, studies of the distribution and abundance of FAs in alpine grassland soils are still rare, especially on the Qinghai-Tibetan Plateau (QTP), the highest plateau in the world, which contributes sediments to many large rivers in Asia. This study investigates the composition, distribution and source of FAs with increasing soil depths from 17 typical alpine grassland sites in the QTP. The most abundant FAs included the ubiquitous C-16 FA and even-numbered long-chain FAs (C-20-C-30), indicating mixed inputs from microbial and higher plant sources. Source apportionment showed that higher plants were the dominant contributor of FAs (approximately 40%) in QTP soils. The abundance of FAs decreased with soil depth, with the highest value (1.08 +/- 0.09 mg/g OC) at a 0-10 cm depth and the lowest value (0.46 +/- 0.12 mg/g OC) at a 50-70 cm depth, due to much lower plant inputs into the deeper horizons. The total concentration of FAs was negatively correlated to the mean annual temperature (MAT; P < 0.05) and soil pH (P < 0.01), suggesting that the preservation of FAs was favored in low-MAT and low-pH soils on the QTP. The abundance of fresh OC source FAs increased significantly with the mean annual precipitation (MAP; P < 0.05), indicating that high MAP facilitates the accumulation of fresh FAs in QTP soils. Other environmental parameters, such as the soil mineral content (aluminum and iron oxide), microbial community composition as well as litter quality and quantity, may also exert a strong control on the preservation of FAs in QTP soils and warrant further research to better understand the mechanisms responsible for the preservation of FAs in QTP soils.Chinese National Key Development Program for Basic Research [2014CB954003, 2015CB954201]; National Natural Science Foundation of China [31370491, 41503073]; National 1000 Young Talents Program; "Strategic Priority Research Program-Climate Change: Carbon Budget and Relevant Issues" of the Chinese Academy of Sciences [XDA05050404]SCI(E)[email protected]
Temporal Sequence Distillation
No full text© 2018 Association for Computing Machinery. Video Analytics Software as a Service (VA SaaS) has been rapidly growing in recent years. VA SaaS is typically accessed by users using a lightweight client. Because the transmission bandwidth between the client and cloud is usually limited and expensive, it brings great benefits to design cloud video analysis algorithms with a limited data transmission requirement. Although considerable research has been devoted to video analysis, to our best knowledge, little of them has paid attention to the transmission bandwidth limitation in SaaS. As the first attempt in this direction, this work introduces a problem of few-frame action recognition, which aims at maintaining high recognition accuracy, when accessing only a few frames during both training and test. Unlike previous work that processed dense frames, we present Temporal Sequence Distillation (TSD), which distills a long video sequence into a very short one for transmission. By end-to-end training with 3D CNNs for video action recognition, TSD learns a compact and discriminative temporal and spatial representation of video frames. On Kinetics dataset, TSD+I3D typically requires only 50% of the number of frames compared to I3D [1], a state-of-the-art video action recognition algorithm, to achieve almost the same accuracies. The proposed TSD has three appealing advantages. Firstly, TSD has a lightweight architecture, and can be deployed in the client, e.g., mobile devices, to produce compressed representative frames to save transmission bandwidth. Secondly, TSD significantly reduces the computations to run video action recognition with compressed frames on the cloud, while maintaining high recognition accuracies. Thirdly, TSD can be plugged in as a preprocessing module of any existing 3D CNNs. Extensive experiments show the effectiveness and characteristics of TSD.link_to_subscribed_fulltex
A framework of text-dependent speaker verification for chinese numerical string corpus
No full textThe Chinese numerical string corpus, serves as a valuable resource for
speaker verification, particularly in financial transactions. Researches
indicate that in short speech scenarios, text-dependent speaker verification
(TD-SV) consistently outperforms text-independent speaker verification (TI-SV).
However, TD-SV potentially includes the validation of text information, that
can be negatively impacted by reading rhythms and pauses. To address this
problem, we propose an end-to-end speaker verification system that enhances
TD-SV by decoupling speaker and text information. Our system consists of a text
embedding extractor, a speaker embedding extractor and a fusion module. In the
text embedding extractor, we employ an enhanced Transformer and introduce a
triple loss including text classification loss, connectionist temporal
classification (CTC) loss and decoder loss; while in the speaker embedding
extractor, we create a multi-scale pooling method by combining sliding window
attentive statistics pooling (SWASP) with attentive statistics pooling (ASP).
To mitigate the scarcity of data, we have recorded a publicly available Chinese
numerical corpus named SHALCAS22A (hereinafter called SHAL), which can be
accessed on Open-SLR. Moreover, we employ data augmentation techniques using
Tacotron2 and HiFi-GAN. Our method achieves an equal error rate (EER)
performance improvement of 49.2% on Hi-Mia and 75.0% on SHAL, respectively.Comment: arXiv admin note: text overlap with arXiv:2312.0164
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