BOOKING ONLY - A journey of culinary discovery. University of Science and Technology of China, Distributed and Intelligent Systems Research Group (DISYS), Proven Secure Tree-based Authenticated Key Agreement for Securing V2V and V2I Communications in VANETs, Energy-aware Scheduling of Streaming Applications on Edge-devices in IoT based Healthcare, Efficient service discovery in mobile social networks for smart cities, NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles, A user interest community evolution model based on subgraph matching for social networking in mobile edge computing environments, Energy-efficient scheduling of streaming applications in VFI-NoC-HMPSoC based edge devices, SMAKA: Secure Many-to-Many Authentication and Key Agreement Scheme for Vehicular Networks, A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion, A weight-based conditional privacy-preserving authentication scheme in software-defined vehicular network, Data-Driven Diffusion Recommendation in Online Social Networks for the Internet of People, Multi-access edge computing enabled internet of things: advances and novel applications, Cognitive-inspired Computing: Advances and Novel Applications, Authentication and Key Agreement Based on Anonymous Identity for Peer-to-Peer Cloud, Edge Sensing Data-imaging Conversion Scheme of Load Forecasting in Smart Grid, Edge Computing-Based Privacy-Preserving Authentication Framework and Protocol for 5G-Enabled Vehicular Networks, Edge Computing in VANETs-An Efficient and Privacy-Preserving Cooperative Downloading Scheme, A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service, An Extensible and Effective Anonymous Batch Authentication Scheme for Smart Vehicular Networks, A Bitcoin Transaction Network Analytic Method for Future Blockchain Forensic Investigation, Event Detection and Multi-source Propagation for Online Social Network Management, Efficient dynamic multi-keyword fuzzy search over encrypted cloud data, A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G, User Topic Preferences Based Influence Maximization in Overlapped Networks, A Multi-layer Security Model for 5G-Enabled Industrial Internet of Things, Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks, Energy-efficient Static Task Scheduling on VFI-based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-physical Systems, Extensible Conditional Privacy Protection Authentication Scheme for Secure Vehicular Networks in a Multi-Cloud Environment, A Social Sensing Model for Event Detection and User Influence Discovering in Social Media Data Streams, Correction to: User interest community detection on social media using collaborative filtering, An Efficient Algorithm for Link Prediction Based on Local Information: Considering the Effect of Node Degree, Node Degree and Neighbourhood Tightness based Link Prediction in Social Networks, Analyzing the Validation Flaws of Online Shopping Systems Based on Coloured Petri Nets, Energy Optimization of Streaming Applications in IoT on NoC Based Heterogeneous MPSoCs using Re-Timing and DVFS, Data Aggregation Challenges in Fog Computing, A Novel Meta-Heuristic for Green Computing on VFI-NoC-HMPSoCs, A Privacy-Preserved Probabilistic Routing Index Model for Decentralised Online Social Networks, An Experimental Online Judge System Based on Docker Container for Learning and Teaching Assistance, Human-Centric Cyber Social Computing Model for Hot-Event Detection and Propagation, Latency-Based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacenters, PA-CRT: Chinese Remainder Theorem Based Conditional Privacy-preserving Authentication Scheme in Vehicular Ad-hoc Networks, An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence, LBBESA: An efficient software‐defined networking load‐balancing scheme based on elevator scheduling algorithm, User interest community detection on social media using collaborative filtering, Enhancing Localization of Mobile Robots in Distributed Sensor Environments for Reliable Proximity Service Applications, RSMA: Reputation System-Based Lightweight Message Authentication Framework and Protocol for 5G-Enabled Vehicular Networks, Cloud BI: Future of Business Intelligence in the Cloud, An Efficient Evolutionary User Interest Community Discovery Model in Dynamic Social Networks for Internet of People, Man-In-The-Middle Attacks in Vehicular Ad-Hoc Networks: Evaluating the Impact of Attackers’ Strategies, A Framework for Orchestrating Secure and Dynamic Access of IoT Services in Multi-Cloud Environments, A Load-balancing Mechanism for Distributed SDN Control Plane Using Response Time, Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks, Community Detection Method Based on User Influence Probability and Similarity, Cloud Workload Analytics for Real-Time Prediction of User Request Patterns, Energy Efficient Heuristic Algorithm for Task Mapping on Shared-Memory Heterogeneous MPSoCs, SMCLBRT: A Novel Load-Balancing Strategy of Multiple SDN Controllers Based on Response Time, Interest-Aware Content Discovery in Peer-to-Peer Social Networks, Privacy-Preserving Authentication Using a Double Pseudonym for Internet of Vehicles, Petri net-based methods for analyzing structural security in e-commerce business processes, Hybrid recommendation–based quality of service prediction for sensor services, Event detection and identification of influential spreaders in social media data streams, An Efficient Indexing Model for the Fog Layer of Industrial Internet of Things, An Approach to Optimise Resource Provision with Energy-Awareness in Datacentres by Combating Task Heterogeneity, An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres, Conditional Privacy-Preserving Authentication Using Registration List in Vehicular Ad Hoc Networks, Key Selection for Multilevel Indices of Large-scale Service Repositories, Performance formula‐based optimal deployments of multilevel indices for service retrieval, A Search Strategy for Social Resource in Decentralized Social Networks, Collaborative Actuation of Wireless Sensor and Actuator Networks for the Agriculture Industry, Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres, Available Forward Road Capacity Detection Algorithms to Reduce Urban Traffic Congestion, Verifiable Public Key Encryption Scheme With Equality Test in 5G Networks, Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments, Event Detection and Key Posts Discovering in Social Media Data Streams, InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments, A Novel Efficient Index Model and Modified Chord Protocol for Decentralized Service Repositories, An Optimal Travel Route Plan for Yangzhou Based on the Improved Floyd Algorithm, Multi-Objective Planning for Electric Vehicle Charging Stations Considering TOU Price, A novel multilevel index model for distributed service repositories, The Cost Function and Improvement Strategies of Service Quality of University Library under New Information Environments, Characterisation of Hidden Periodicity in Large-Scale Cloud Datacentre Environments, Advanced Information Technology Convergence 2017, Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks, Efficient service discovery in decentralized online social networks, Event Detection and User Interest Discovering in Social Media Data Streams, Link Quality Aware Channel Allocation for Multichannel Body Sensor Networks, Multi-level topical text categorization with wikipedia, Efficient estimation and control of WSANs for the greenhouse environment, RVLBPNN: A workload forecasting model for smart cloud computing, Big data and smart computing: methodology and practice: Editorial, Mobilouds: An EnergyEfficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks, An efficient algorithm for partially matched services in internet of services, CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems, A Socioecological Model for Advanced Service Discovery in Machine-to-Machine Communication Networks, A Self-Organized Architecture for Efficient Service Discovery in Future Peer-to-Peer Online Social Networks, Latency-Aware Empirical Analysis of the Workloads for Reducing Excess Energy Consumptions at Cloud Datacentres, Dependency Networks Extractions from Textual Sources in Criminology: An Initial Implementation, RTS: Road topology-based scheme for traffic condition estimation via vehicular crowdsensing, Requirements and Challenges for Big Data Architectures, Intellino: Processor for Embedded Artificial Intelligence, Two-Stage Spatial Mapping for Multimodal Data Fusion in Mobile Crowd Sensing, Supervised Learning model for Identifying illegal activities in Bitcoin, A New Security Model for Web Browser Local Storage, Improved TrAdaBoost and Its Application to Transaction Fraud Detection, Enhanced Lightweight Algorithm to Secure Data Transmission in IoT Systems, An optimized quantum minimum searching algorithm with sure-success probability and its experiment simulation with Cirq, Low-Cost Reduced Navigation System for Mobile Robot in Indoor/Outdoor Environments. It is a crucial task for devices to perform timely service... Urban traffic condition usually serves as basic information for some intelligent urban applications, for example, intelligent transportation system. In 2020, EAI successfully launched an online conference format to ensure the safety, comfort and quality of experience for attendees and a successful course of the events, all while retaining fully live interaction, publication and indexing. This paper investigates the deployment of collaborative estimation and actuation scheme of wireless sensor and actuator networks (WSANs) for the agriculture industry. All rights reserved. ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. Many works studied storage structures of services. Cloud service providers are under immense pressure to significantly reduce both such implications for promoting green computing. Lu Blue Lu has been practicing yoga since 2000 in varying disciplines and completed her teacher training as a mindfulness yoga teacher in 2016 with the Buddhist school Bodhiyoga.es in Spain. Cloud Computing has emerged as a low cost anywhere anytime computing paradigm. Internet of People such as online social networks is the next frontier for the Internet of Things. Existing security and identity-based vehicular communication protocols used in Vehicular Ad-hoc Networks (VANETs) to achieve conditional privacy-preserving mostly rely on an ideal hardware device called tamper-proof device (TPD) equipped in vehicles. In social networks, nodes generally represent a single individual, while edges represent relationships that exist between individuals, such as classmate relationships, kinship relationships, and friend relationships, ... Due to voluminous data about Bitcoin transactions on the blockchain, machine learning became a popular technique for tracking and scrutinizing illicit users or transactions. Because we witness the processing requirements of big da... ... By including the AI computing in the edge, the IoT can swiftly perform the AI operation and significantly reduce the workload of the system core on the edge. Broadcasting events in microblogging networks can be an effective method of creating awareness, divulging important information and so on. An efficient resource discovery algorithm based on Discrete Hash... Wireless Body Sensor Networks (WBSNs) are gaining importance in the era of the Internet of Things (IoT). The main advantage of a probabilistic approach is that explicit stochastic models are used to describe the various relationships between sensors and other information sources, taking into account the uncertainties [15]. Lu Liu, University of Leicester, UK Qun Jin, Waseda University, Japan Vincenzo Piuri, University of Milan, Italy Submissions for this issue will close on October 30, 2019 Download Call for Papers (PDF). Mobile social networks (MSNs) play an important role in the process of the development of smart cities. Traditional classification algorithms are generally applying labeled training set and call for a lot of manual work to tag classifications beforehand. User’s social behaviors are no longer confined to a single network but interact in the form of overlapping networks. In recent years, research on the security of Industry 4.0 and the Internet of Things (IoT) has attracted close attention from industry, government and the scientific community. Many names lack affiliations. Join ResearchGate to find the people and research you need to help your work. ). In order to trace and analyze suspected Bitcoin transactions and addresses, address clustering methods and Bitcoin flow analysis methods are gaining attention recently. While in power load prediction, the potential relationships between the time series of power load data and the characteristics of temperature, weather and date,... Based on the functional characteristics of inter-vehicle communication networks under the current framework, a privacy preserving authentication framework that combines fifth-generation communication technology (5G) and edge computing technology is proposed. Web storage provides a way for web applications to save data locally in the user's browser without affecting website performance and provides more storage capacity than cookies. Vehicular ad hoc networks (VANETs) are vulnerable to many kinds of security attacks, so it is necessary to design an authenticated key agreement (AKA) scheme for securing communication channels in VANETs. Multichannel is often used in BSNs to reduce the spectrum com... Online social networks (OSNs) have attracted millions of users worldwide over the last decade. Edge sensing data in smart grid provides vast valuable information, which promotes further innovated smart power applications in Internet of things (IoT) oriented smart cities and society. This study, based on the theory of equivalence relations, proposes a novel multilevel index model for decentralized service repositories to eliminate redundant information and enhance the time-management quality of the service retrieval process of the service repository architecture. Body Sensor Network (BSN) is a typical Internet-of-Things (IoT) application for personalized health care. Social networks can even accommodate sharing of live streaming data among the connected users. Given the emergence of mobile cloud computing (MCC), its associated energy implications are Therefore, how to use these user generated contents to recommend the information users are interested in and how to continuously optimize the recommendation model for improving the recommendation quality have become one of the hot issues of research [8][9], Concurrency and Computation Practice and Experience (5). There has been much interest in link prediction research with significant studies on how to predict missing links or future links in a network based on observed information. The booming Internet of Things (IoT) and Cloud Computing provide paradigms for the development of decentralized OSN. Smart city services enhance their quality of life. If we ignore the common requests, the resource allocation ef... Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. Therefore, the number of processors has increased significantly on the multiprocessor system subsequently, Voltage Frequency Island (VFI) recently adopted f... With the rising popularity of the Internet and communication technology, vehicles can analyze and judge the real-time data collected by various cloud service providers (CSPs) in a vehicular network. Recently, to improve security and privacy, a novel primitive was proposed by Ma et al. Feixiang Zhou, "Interpretation of social The processing requirements of big data span across multiple machines with the seamless integration of a large range of subsystems functioning in a distributed fashion. A single Cloud job may encompass one to several number of tasks, such tasks usually exhibit increased level of behavioural heterogeneity though they belong to the same job. It is a distributed and complex system, where communications among these participants rely on the web services an... Wireless sensor networks are being the focus of several research application domains, and the concept of sensing-as-a-service is on the rise in wireless sensor networks. Cloud datacentre resources and the arriving jobs are addressed to be exhibiting increased level of heterogeneity. PhD student (co-supervised with Prof. Eugene Zhang). Angiotensin-converting enzyme 2 (ACE2) is the cellular entry point for severe acute respiratory syndrome coronavirus (SARS-CoV-2)—the cause of coronavirus disease 2019 (COVID-19). In wireless sensor networks, data aggregation allows in-network processing, which leads to reduced packet transmissions and reduced redundancy, and thus is helpful to prolong the overall lifetime of wireless sensor networks. Trouvez les Lucy Liu Sexy images et les photos d’actualités parfaites sur Getty Images. Nowadays, people become more and more dependent on the Internet, increasingly receiving and sending information on social networks (e.g., Twitter, etc. Cloud datacentres are turning out to be massive energy consumers and environment polluters, which necessitate the need for promoting sustainable computing approaches for achieving environment-friendly datacentre execution. A direct search interface for Author Profiles will be built. The new development of embedded systems has the potential to revolutionize our lives and will have a significant impact on future Internet of Thing (IoT) systems if required services can be automatically discovered and accessed at runtime in Machine-to-Machine (M2M) communication networks. The modern medical system is a particular area where the WBSN techniques are being increasingly adopted for various fundamental operations. This article considers the need for secure communications between Industrial Internet of Things (IIoT) devices that operate in 5G-enabled environments. With the popularity of smart phones, mobile social activities have become an important component of citizens’ daily life. Mobile robots can effectively coordinate information among sensor nodes in a distributed physical proximity. Subsequently, microblogging networks generate massive amounts of data that carry opinions and mass sentiment on various topics. Lijia Deng, "Crowd counting via deep learning", University of Leicester, 10/2019-9/2022. However, the demands of larger communication networks and the integrated message verification process for ensuring security incur more communication and computation overheads, and directly aff... With the explosive growth of service-oriented computing (SOC) and extensive use of Web service technology, large amounts of services need to be efficiently stored and managed. This paper investigates the collaborative estimation and control problem of wireless sensor and actuator networks (WSANs) in the greenhouse environments. Accurately locating the mobile robots in such a distributed scenario is an important requirement, such that mobile robots can be instructed to coordinate with appropriate sensor nodes. Liu, Z. et al. Guoliang Fan was born in Xi'an, China. Given the increasing deployments of Cloud datacentres and the excessive usage of server resources, their associated energy and environmental implications are also increasing at an alarming rate. Smart vehicular networks, as a type of industrial IoT, inevitably exchange large amounts of security and privacy-sensitive data, which make them attractive targets for attac... Popular Blockchain-based cryptocurrencies, like Bitcoin, are increasingly being used maliciously to launder money on the dark Web. Reserve a table at Lilu Cuisine, Leicester on Tripadvisor: See 741 unbiased reviews of Lilu Cuisine, rated 5 of 5 on Tripadvisor and ranked #8 of 1,228 restaurants in Leicester. View our courses, book a visit and more L. Hu, Z. Wang, and X. Liu, State estimation under deception attacks: security analysis and attack detection, Automatica, 87: 176- … He received the B.S. Ge Liu Preetha Phillips (Aim) It is beneficial to classify brain images as healthy or pathological automatically, since the information set of 3D brain is … Traditional public key infrastructure-based authentication schemes provide vehicular networks with identity authentication and conditional privacy protection, which are not sufficient for assessing the credibility of messages. Most existing community detection methods only use network topology of users to identify optimal communities. Therefore, some researchers have begun to try to use genetic algorithms(GA) (Deb et al. Depending on the user's browser, web storage capacity can be anywhere from 5MB to 25MB. In self-hosted environments it was feared that BI... Internet of People (IoP), which focuses on personal information collection by a wide range of the mobile applications, is the next frontier for Internet of Things (IoT). The traditional acquisition of such information is often costly because of the dependencies on infrastructures, such as cameras and loop detectors. The ACM DL is a comprehensive repository of publications from the entire field of computing. Transfer learning is used to improve a learner by transferring information from a domain into another one [9], [27], [60], [65]. Large service repositories comprising more services and functionalities usually impose new challenges to users while identifying their preferred services and may incur higher costs... Microblogging, a popular social media service platform, has become a new information channel for users to receive and exchange the most up-to-date information on current events. The recommendation system is an effective means to solve the information overload problem that exists in social networks, which is also one of the most common applications of big data technology. Lu Liu's research works | University of Leicester, Leicester (LE) and other places Lu Liu's research while affiliated with University of Leicester and other places Publications (196) +4 The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. degree in Automation Engineering from Xi'an University of Technology, Xi'an, China, in 1993, the M.S. This large-scale information exchange results in new interactions between things and people. Choisissez parmi des contenus premium Lucy Liu Sexy de la plus haute qualité. execution are wasted as they remain idle until... Internet of Things (IoT) connects billions of devices in an Internet-like structure. EAI ICMTEL 2021 will be held as a fully-fledged online conference. Many bibliographic records have only author initials. The work presents the algorithms employed by experimental traffic signals used in a simulated road network. Lu Liu - Professor and Head of School of Informatics - University of Leicester | LinkedIn The rapid development of e-commerce worldwide, means more e-commerce business processes adopting the structure of multiple participants; these include shopper clients, merchant and third-party payment platforms (TPPs), banks, and so on.

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