Herein we present a unique method of using dynamic cross-links, which are covalent bonding and ionic interaction, for the construction injectable double-network (DN) hydrogels, with objective cell delivery cartilage repair. Glycol chitosan dibenzaldhyde capped poly(ethylene oxide) formed first network, while calcium alginate second one, in resultant DN hydrogel, either networks could be selectively removed. The moduli hydrogel were significantly improved compared to that parent...

To satisfy the increasing demands of cellular traffic, cooperative content caching at network edge (e.g., User Equipment) has become a promising paradigm in next-generation networks. Device-to-Device (D2D) communications can improve and fetching performance without deploying additional infrastructure. In this paper, we investigate joint optimization dynamic D2D environment for minimizing overall delay. We formulate it as decentralized partially observable Markov game finding optimal policies...

There has been an increasing demand for providing real-time video streaming services in the next-generation cellular networks. To improve quality of such without additional infrastructure, neighboring devices can recover missing packets by using network coding aided collaborative transmission via device-to-device (D2D) communication. However, most existing work this area had not considered issue how to schedule transmissions effectively supporting scalable applications environment. In paper,...

Mobile crowdsensing (MCS) has been an effective sensing paradigm by utilizing the smart devices carried mobile users to complete tasks at different locations. An important problem in MCS is how achieve task assignment context of opportunistic sensing, where are selectively recruited perform way. However, most existing work this aspect suppose there only one service platform and further qualities known a priori. In article, we study when multiple platforms unknown The design objective...

Mobile crowdsensing is a new paradigm for data collection by utilizing the mobility of sensor-rich hand-held smart devices. One key challenges in mobile how to effectively assign tasks users an online manner. In this paper, we study task assignment problem where each has specific time window its sensor collection. The objective maximize total profit platform whole sensing period. We first model system and formulate maximization under study. To address problem, propose two heuristic...

Network coding has received great attention for its ability to dramatically improve the performance of wireless networks. However, there still is a lack research on how and which degree packet size affects network with coding. In this letter, we study issue optimal inter-flow enabled two-hop error-prone networks IEEE 802.11. We analyze throughput such then derive maximizing under various cases. The simulation results validate accuracy our analytical results.

Performance effectiveness in the hotel’s operational stage is significant for hotel industry as relies on customer satisfaction towards service. Fulfilling customer’s and users’ hedonic aesthetic appearance, interiors, room decorations, furnishings crucial hotel's facilities management concept. However, awareness of tangible interiors performance sustainable products are still lacking performance. This study aims to close loop between interior design (SID) management, by identifying criteria...

Learning algorithms normally assume that there is at most one annotation or label per data point. However, in some scenarios, such as medical diagnosis and on-line collaboration,multiple annotations may be available. In either case, obtaining labels for points can expensive time-consuming (in circumstances ground-truth not exist). Semi-supervised learning approaches have shown utilizing the unlabeled often beneficial these cases. This paper presents a probabilistic semi-supervised model...

Recently, deploying WiFi access points (APs) for facilitating indoor localization has attracted increasing attention.However, most existing mechanisms in this aspect are typically simulation based and further they did not consider how to jointly utilize pre-existing APs target environment newly deployed achieving high performance.In paper, we propose a measurement-based AP deployment mechanism (MAPD) placing assisting fingerprint localization.In the design, MAPD takes full consideration of...

The research on big data and education informatization starts in 2010 continues to develop after 2015, it is now increasingly emphasized by the academia. This paper takes relevant CNKI academic papers published between 2019 as object study distribution, trends hotspots using bibliometrics method. Based summary high-frequency keywords of topics keyword clustering analysis, author divides into six aspects. China has achieved rich results encouraged wide practice. However, there still exist...

To meet the explosive increasing demands for high data rates, hybrid beamforming has become a promising paradigm massive MIMO millimeter wave (mmWave) systems. In this paper, we study joint optimization of maximizing achievable sum rate in networked dynamic mmWave address problem, propose novel Model-Assisted Decentralized Multi-Agent Reinforcement Learning (MAD-MARL) algorithm, which incorporates following three designs: 1) model-based prediction approach, can improve policy learning speed...

Back-pressure scheduling has been considered as a promising strategy for resource allocation in wireless multi-hop networks. However, there still exist some problems preventing its wide deployment practice. One of the is poor end-to-end (E2E) delay performance. In this paper, we study how to effectively use inter-flow network coding improve E2E and also throughput performance back-pressure scheduling. For purpose, propose an efficient based algorithm (NBP), accordingly design detailed...

Batch forwarding using intra-flow random linear network coding (RLNC) has been used to improve the performance of a wireless constituent lossy links. However, existing batch-based mechanisms in this aspect can lead lot bandwidth waste and thus reduced transmission efficiency. In paper, we design Sliding WIndow based Multiple batch mechanism (SWIM) RLNC. SWIM, multiple batches are allowed be sent out simultaneously way that process is managed by sliding window. adaptive rate assignment assign...