291 research outputs found
MEDIA DEVELOPMENT MODELS IN VIRTUAL WORLD
This paper studies three digital media development models in virtual world. We characterize the reve-nue mechanisms behind each model, by incorporating the concept of horizontal and vertical supply chain integration of digital media industry. We incorporate the core value of digital media develop-ment in the first model, which considers digital media as information goods. Pricing, quality differen-tiation, quantity discrimination, and content design combined determine the VW popularity and the financial performance. Based on the first model, the second model incorporates the advertising reve-nue. It becomes essential to optimize both information goods revenue and advertising revenue, while increasing one would decrease the other due to the traffic dynamics. Based on the first two models, the third model considers both vertical and horizontal supply chain integration in the digital media indus-try. In this model, we add one extra dimension of network externality that leads to better understand-ing of consumers, suppliers, and their mutual interest. Based on these three models, we suggest several strategic implications that facilitate operations, increase revenue, and enhance consumer experience, including strategic alliance, reduction of virtual-real world barriers, and tailored advertisement
Wireless Power Transfer in Massive MIMO Aided HetNets with User Association
This paper explores the potential of wireless power transfer (WPT) in massive
multiple input multiple output (MIMO) aided heterogeneous networks (HetNets),
where massive MIMO is applied in the macrocells, and users aim to harvest as
much energy as possible and reduce the uplink path loss for enhancing their
information transfer. By addressing the impact of massive MIMO on the user
association, we compare and analyze two user association schemes. We adopt the
linear maximal ratio transmission beam-forming for massive MIMO power transfer
to recharge users. By deriving new statistical properties, we obtain the exact
and asymptotic expressions for the average harvested energy. Then we derive the
average uplink achievable rate under the harvested energy constraint.Comment: 36 pages, 11 figures, to appear in IEEE Transactions on
Communication
Peptides and Peptidomimetics as Tools to Probe Protein-Protein Interactions – Disruption of HIV-1 gp41 Fusion Core and Fusion Inhibitor Design
A New Look at Physical Layer Security, Caching, and Wireless Energy Harvesting for Heterogeneous Ultra-dense Networks
Heterogeneous ultra-dense networks enable ultra-high data rates and ultra-low
latency through the use of dense sub-6 GHz and millimeter wave (mmWave) small
cells with different antenna configurations. Existing work has widely studied
spectral and energy efficiency in such networks and shown that high spectral
and energy efficiency can be achieved. This article investigates the benefits
of heterogeneous ultra-dense network architecture from the perspectives of
three promising technologies, i.e., physical layer security, caching, and
wireless energy harvesting, and provides enthusiastic outlook towards
application of these technologies in heterogeneous ultra-dense networks. Based
on the rationale of each technology, opportunities and challenges are
identified to advance the research in this emerging network.Comment: Accepted to appear in IEEE Communications Magazin
Assessments on the competency model of senior managers of family firms in China
Based on the critical behavioral event interviews with 18 senior managers of family firms, the current study developed a competency model forsenior managers of family firms in China. The primary findings are as follows.First, using the Critical Behavioral Event Interview (BEI) to develop thecompetency model of senior managers, the occurrence frequency and mean levelscores of competencies are comparatively stable measures and the competencies’maximal level scores are influenced by interview length. The study also found that both mean level scores and maximal level scores can differentiate superiorsenior managers from average senior managers of family firms. Second, the
competency model of senior managers of family firms in China includes 1competencies, namely authority orientation, initiative, opportunity-seizing,information seeking, organizational awareness, direction, benevolence orientation,self-control, self-confidence, self-learning, and impact and influence. Amongthem, nine competencies are consistent with those of the generic competencymodel of senior managers of Western enterprises and five with those of thegeneric competency model of senior managers of state-owned firms in China.Our results revealed that the authority orientation and benevolence orientationare the two competencies unique to the senior managers of family firms in Chin
FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
To accomplish punctuation restoration, most existing methods focus on
introducing extra information (e.g., part-of-speech) or addressing the class
imbalance problem. Recently, large-scale transformer-based pre-trained language
models (PLMS) have been utilized widely and obtained remarkable success.
However, the PLMS are trained on the large dataset with marks, which may not
fit well with the small dataset without marks, causing the convergence to be
not ideal. In this study, we propose a Feature Fusion two-stream framework
(FF2) to bridge the gap. Specifically, one stream leverages a pre-trained
language model to capture the semantic feature, while another auxiliary module
captures the feature at hand. We also modify the computation of multi-head
attention to encourage communication among heads. Then, two features with
different perspectives are aggregated to fuse information and enhance context
awareness. Without additional data, the experimental results on the popular
benchmark IWSLT demonstrate that FF2 achieves new SOTA performance, which
verifies that our approach is effective.Comment: 5pages. arXiv admin note: substantial text overlap with
arXiv:2203.1248
Estimating housing vacancy rates at the residential neighborhood level: The case of Zhengzhou, China
Estimating housing vacancy rates (HVR) at the residential neighborhood or even at higher spatial levels is rarely carried out due to the challenges on availability and collection of appropriate data of high spatial resolution. In this study, we introduce a framework for estimating HVR at residential neighborhood level based on selected emerging data sources: night-time light data, very high-resolution image, Open Street Map, housing data and census data. Our developed framework consists of three steps: 1) we extract residential neighborhoods as well as detailed housing information using EO-data; 2) we spatially distribute the census population into residential neighborhoods proportional to night light emissions; 3) we estimate HVR of each residential neighborhood according to the gap between its actual population and the estimated population capacity. Based on this methodology, we find the following main results for our test case of Zhengzhou, China: 1) the average HVR is estimated at 31%; 2) with rising distance to the city center the HVR is increasing
Two-Tier 360-Degree Video Delivery Control in Multiuser Immersive Communications Systems
In the immersive communications systems, video information is stringently delivered for extended reality applications. Since users may demand various immersive experience and have different levels of view prediction accuracy, the two-tier 360-degree video delivery frame structure with dynamic transmission time interval duration needs to be designed appropriately. To maximize the system's quality of experience, two new frame structures and power control are proposed. Meanwhile, the synchronous and asynchronous cases with different computational complexities are addressed. The results demonstrate the effectiveness of the proposed design and indicate that flexible frame structure is beneficial for multiuser immersive communications.acceptedVersionPeer reviewe
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