High-temperature carbonized metal-organic frameworks(MOFs)derivatives have demonstrated their superiority for promising electromagnetic wave(EMW)absorbers,but they still suffer from limited EMW absorption capacity and...
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High-temperature carbonized metal-organic frameworks(MOFs)derivatives have demonstrated their superiority for promising electromagnetic wave(EMW)absorbers,but they still suffer from limited EMW absorption capacity and narrow *** the advantage of microstructure and chemical composition regulation for the design of EMW absorber,hierarchical heterostructured MoS_(2)/CoS_(2)-Co_(3)O_(4)@cabonized cotton fabric(CF)(MCC@CCF)is prepared by growing ZIF-67 MOFs onto CF surface,chemical etching,and *** from the dual loss mechanism of magnetic-dielectric multicomponent carbonized MOFs,chemical etching and carbonization process can effectively introduce abundant micro-gap structure that can result in better impedance matching and stronger absorption capacity via internal reflection,doped heteroatoms(Mo,N,S)to supply additional dipolar polarization loss,and numerous heterointerfaces among MoS_(2),CoS_(2),Co_(3)O_(4),and CCF that produce promoted conduction loss and interfacial polarization ***,a minimal reflection loss of−52.87 dB and a broadest effective absorption bandwidth of 6.88 GHz were achieved via tunning the sample thickness and filler loading,showing excellent EMW absorption *** research is of great value for guiding the research on MOFs derivatives based EMW absorbing materials.
The rapid advancement of large language models (LLMs) such as GPT-4 has revolutionized the landscape of software engineering, positioning these models at the core of modern development practices. As we anticipate thes...
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Location-based social networks (LBSNs) have greatly promoted the development of the field of human mobility mining. However, the sparsity, multimodality and heterogeneity nature of the user check-in data remains a gre...
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Location-based social networks (LBSNs) have greatly promoted the development of the field of human mobility mining. However, the sparsity, multimodality and heterogeneity nature of the user check-in data remains a great concern for learning high-quality user or other entities representations, especially in the downstream application tasks, such as point-of-interest (POI) recommendation. Most existing methods focus on user preference modeling based on sequential POI tags without exploring the interaction between different modalities (e.g., user-user interactions, user-timestamp interactions, user-POI interactions, etc.). To this end, we introduce a multimodal interaction aware embedding framework to generate reliable entity embeddings on the heterogeneous socio-spatial network. At its core, first, multi-modal interaction sub-graph sampling techniques are designed to capture the heterogeneous contexts;then, a self-supervised contrastive learning technique is leveraged to extract intra-modality and inter-modality interactions in a light way. We conduct experiments on the next-POI recommendation tasks based on three real-world datasets. Experimental results demonstrate the superiority of our model over the state-of-the-art embedding learning algorithms.
Temporal knowledge graph (TKG) reasoning has become a hot topic due to its great value in many practical tasks. The key to TKG reasoning is modeling the structural information and evolutional patterns of the TKGs. Whi...
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In the fields of voice conversion (VC) and text-to-speech (TTS), recent years have witnessed a growing interest in developing synthesized speech quality assessment (SQA) systems. For such systems, it is essential to r...
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In the fields of voice conversion (VC) and text-to-speech (TTS), recent years have witnessed a growing interest in developing synthesized speech quality assessment (SQA) systems. For such systems, it is essential to reliably and accurately evaluate the quality of synthesized speech produced by VC and TTS systems, as this remains a crucial issue requiring further exploration. Among various evaluation standards of speech quality, the mean opinion score (MOS) is the most commonly used SQA metric. The rapid advancement of deep learning (DL) techniques has propelled the emergence of DL-based MOS-based SQA algorithms. Unfortunately, none of these methods incorporate listeners' perceptions of audio distortions, which are considered one of the key factors affecting listeners' MOS ratings. To fill such a research gap to some extent, we propose a novel speech quality assessment framework, namely ADTMOS (Audio Distortion Token-Guided Deep MOS Predictor). ADTMOS consists of three parts: a public encoding layer which encodes the audio embeddings, an audio distortion token extractor which extracts ADT scores related to the subjective perceptions of audio distortions, and a frame-wise MOS score generator which is responsible for computing frame-level MOS scores. Experimental results demonstrate that compared to the LDNet baseline, ADTMOS achieves a 0.83% improvement on the VCC2018-CSMSC dataset and a 4.58% increase on the BVCC dataset in the system-level Spearman's rank correlation coefficient (SRCC). Furthermore, two innovative data augmentation techniques have been developed for the SQA task, aiming to mitigate the challenges of data scarcity and uneven sample distribution commonly encountered in SQA datasets.
Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user *** digital signature can provide...
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Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user *** digital signature can provide data verification and identity authentication based on the mathematical difficulty problem for logistics data sharing in *** paper first established a blockchain-enabled cold-chain logistics system(BCCLS)based on union blockchain technology,which can provide secure data sharing among different logistics nodes and guarantee logistics data security with the untampered blockchain ***,a lattice-based undeniable signature scheme is designed to strengthen the security of logistics data and user privacy against quantum *** scheme is based on the lattice assumption,which can provide anti-quantum security for BCCLS in the future quantum computer *** also establishes the undeniable mechanism that guarantees that the actual signer cannot deny a valid ***,security proof shows that this undeniable signature scheme is correct and safe,and an efficiency comparison shows that it is more efficient than other schemes in similar *** performance evaluations of transaction throughput and latency show that the proposed BCCLS is efficient and *** work can improve the security and efficiency of logistics data management and promote the reform and development of the logistics industry.
Quantum chemistry software implements the first principle quantum computation and is indispensable in both scientific research and chemical industries. Any bugs in such software will lead to serious consequences, thus...
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With the developing demands of massive-data services,the applications that rely on big geographic data play crucial roles in academic and industrial *** aerial vehicles(UAVs),combining with terrestrial wireless sensor...
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With the developing demands of massive-data services,the applications that rely on big geographic data play crucial roles in academic and industrial *** aerial vehicles(UAVs),combining with terrestrial wireless sensor networks(WSN),can provide sustainable solutions for data *** rising demands for efficient data collection in a larger open area have been posed in the literature,which requires efficient UAV trajectory planning with lower energy consumption ***,there are amounts of inextricable solutions of UAV planning for a larger open area,and one of the most practical techniques in previous studies is deep reinforcement learning(DRL).However,the overestimated problem in limited-experience DRL quickly throws the UAV path planning process into a locally optimized ***,using the central nodes of the sub-WSNs as the sink nodes or navigation points for UAVs to visit may lead to extra collection *** paper develops a data-driven DRL-based game framework with two partners to fulfill the above demands.A cluster head processor(CHP)is employed to determine the sink nodes,and a navigation order processor(NOP)is established to plan the *** and NOP receive information from each other and provide optimized solutions after the Nash *** numerical results show that the proposed game framework could offer UAVs low-cost data collection trajectories,which can save at least 17.58%of energy consumption compared with the baseline methods.
News generation, as a subset of long-form text generation task, is an important challenge in natural language processing. The creation of news articles necessitates a foundation in factual events, demanding the authen...
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Post-Quantum Cryptography (PQC) is one of the most fascinating topics of recent developments in cryptography. Following the ongoing standardization process of PQC by NIST, industry and academia both have been engaged ...
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ISBN:
(纸本)9783031562341;9783031562358
Post-Quantum Cryptography (PQC) is one of the most fascinating topics of recent developments in cryptography. Following the ongoing standardization process of PQC by NIST, industry and academia both have been engaged in PQC research with great interest. One of the candidate algorithms finalized by NIST for the standardization of post-quantum digital signatures belongs to the family of Hash-based Signatures (HBS). In this paper, we thoroughly explore and analyze the state-of-the-art patents filed in the domain of post-quantum cryptography, with special attention to HBS. We present country-wise statistics of the patents filed on the topics of PQC. Further, we categorize and discuss the patents on HBS based on the special features of their construction and different objectives. This paper will provide scrutinized information and a ready reference in the area of patents on hash-based post-quantum signatures.
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