The Internet of Things (IoT) infrastructure with numerous diverse physical devices are growing up rapidly, which need a dynamic services coordination approach that can integrate those heterogeneous into the context-aware IoT infrastructure. This paper proposes situation-aware approach. First, focusing on definition formal situation event pattern selection and consumption strategy, an automaton-based situational detection algorithm is proposed. Second, enhanced event-condition-action used to...

Internet of Things (IoT) technology demands a complex, lightweight distributed architecture with numerous diverse components, including end devices and applications adapted for specific contexts. This paper proposes situation-aware IoT services coordination platform based on the event-driven service-oriented (SOA) paradigm. Focus is placed design an event-driven, platform, which we present situational event definition language (SEDL), automaton-based detection algorithm, service behavior...

The local parts of the target are vitally important for robust object tracking. Nevertheless, existing excellent context regression methods involving siamese networks and discrimination correlation filters mostly represent appearance from holistic model, showing high sensitivity in scenarios with partial occlusion drastic changes. In this paper, we address issue by proposing a novel part-aware framework based on regression, which simultaneously considers global fully exploits their...

In some special circumstances (e.g., tsunamis, battlefields, and earthquakes), communication infrastructures are damaged or nonexistent. For among people, mobile smart devices (MSDs) can be used to construct ad hoc networks (MANETs). This paper focuses on the problem of data delivery in MANETs aiming improve quality service (QoS) experience (QoE) users receive. MANETs, however, have well-known problems frequent disconnections high rates failed transmissions as MSDs move out network coverage...

We demonstrate an electrically triggered tunable terahertz (THz) band-pass filter based on vanadium dioxide (VO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) embedded hybrid metamaterials. The unit cell of the consists two cross resonators and a central bar. phase transition VO is induced by ohmic heating transmission can be modulated applied currents. mechanism tunability that conductivity film changes with relation between upper...

Internet of Things (IoT) can provide new value-added service by connecting the physical devices to virtual environments association with their context, and there is also a huge demand in ad hoc services end users for IoT applications. By extending mashup concept into applications, we achieve novel more lightweight creation approach. This paper proposes middleware based on REST-style architecture design an uniform sensor access dynamically protocol stack management framework, propose...

Recently, the frequent coal mine safety accidents have caused serious casualties and huge economic losses. It is urgent for global mining industry to increase operational efficiency improve overall safety. This paper proposes a lightweight mashup middleware achieve remote monitoring control automation of underground physical sensor devices. First, cluster tree based on ZigBee Wireless Sensor Network (WSN) deployed in an mine, propose Open Service Gateway initiative (OSGi)-based uniform...

The concept of the Internet Things (IoT) is an important part next generation information. Wireless sensor networks are composed independent distributed smart nodes and gateways. These discrete sensors constantly gather external physical information, such as temperature, sound, vibration. Owing to diversity devices complexity sensing environment, direct modeling IoT-aware business process application particularly difficult. In addition, how effectively deploy those designed applications...

In recent years, Web service discovery has been a hot research topic. this paper, we propose novel services approach, which can mine the underlying semantic structures of interaction interface parameters to help users find and employ services, match interfaces with high precision when those contain meaningful synonyms, abbreviations, combinations disordered fragments. Our approach is based on mining semantics. First, conceptual description model in include type path for addition traditional...

Fine-tuning is widely used as the default algorithm for transfer learning from pre-trained models. Parameter inefficiency can however arise when, during learning, all parameters of a large model need to be updated individual downstream tasks. As number grows, fine-tuning prone overfitting and catastrophic forgetting. In addition, full become prohibitively expensive when many To mitigate this issue, parameter-efficient algorithms, such adapters prefix tuning, have been proposed way introduce...

Designing routing algorithms for Low Earth Orbit (LEO) satellite networks poses a significant challenge due to their high dynamics, frequent link failures, and unevenly distributed traffic. Existing studies predominantly focus on shortest-path solutions, which compute minimum-delay paths using global topology information but often neglect the impact of traffic load performance struggle adapt rapid link-state variations. In this regard, we propose Multi-Agent Reinforcement Learning-Based...

Applying Machine Learning (ML) to business applications for automation usually faces difficulties when integrating diverse ML dependencies and services, mainly because of the lack a common framework. In most cases, models are developed which targeted specific domain use leading duplicated effort, making reuse impossible. This paper presents Acumos, an open platform capable packaging into portable containerized microservices can be easily shared via platform's catalog, integrated various...

Particle filter algorithms are a very important branch for visual object tracking in the past decades, showing strong robustness to challenging scenarios with partial occlusion and large-scale variations. However, since large number of particles need be extracted accurate target state estimation, their efficiency typically suffers especially when meeting deep convolutional features, which have been developed handling significant variations appearance community. In this paper, we propose...

The heterogeneity, large scale, and resource constraint of IoT environment raise some issues which hinder its development. We focus on two among them: 1) most the existing applications are "silos", that is, wireless sensor actuator network resources tightly coupled, cannot share reuse interact with each other 2) how to efficiently disseminate sensing information providers consumers, rapidly respond changes in physical world. This paper proposes a multilevel multidimensional model-based...

Traditional page recommendation models are endangered by stricter privacy regulations, such as the General Data Protection Regulation (GDPR). The performance of these suffer when only a part users share their personal data, cookies, with web servers, while rest choose to opt-out from sharing data. Furthermore, not designed provide recommendations for who do This paper addresses question how good all users, independent attitudes. We propose Fed4Rec, privacy-preserving framework based on...

The fine-grained prediction of traffic anomalies is crucial for Traffic Management Bureau to alleviate congestion and avoid public safety incidents. While in practice, the very challenging due two issues. 1) <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Data sparsity</i> . At setting, missing data inevitable widespread on spatial temporal dimension. Existing methods have weak performance as they do not handle properly. 2) distribution...

With the telecom market reaching saturation in many regions and revenues from voice calls decreasing, operators are attempting to identify new sources of revenue. For this purpose, these can take advantage their core functionalities, such as location call control, by exposing them services be composed developers with third-party offerings available over web. Mashups enable technology compose those into applications. However, existing mashup tools have some limitations convergent...

Cloud and fog computing are two emerging Internet-based collaborative technologies for big data analytics. An interesting question arising is whether the can resonate with significant gains of energy efficiency, especially in case where advanced cloud platforms Dynamic Voltage Frequency Scaling (DVFS) considered. This paper answers by formulating optimization a without assistance fog, deriving asymptotically optimal distributed solutions cases. We also identify critical condition under which...

In marine transportation, many ships are equipped with AIS devices. The data sent by devices can help the maritime authorities and other obtain navigation condition of ship, thereby ensuring safety during navigation. However, when a ship is involved in illegal activities, crew may close device or tamper Maritime Mobile Service Identity (MMSI) data. To detect these two kinds behaviors, this paper designs closing detection algorithm MMSI spoofing based on spatiotemporal provided radar. As...

This research proposes constructing a network used for person re-identification called MGNACP (Multiple Granularity Network with Attention Mechanisms and Combination Poolings). Based on the MGN Network) that combines global local features characteristics of branch, MGNA Attentions) is designed by adding channel attention mechanism to each branch MGN. The MGNA, mechanisms, learns most identifiable information about improve accuracy. constructed single pooling in replaced combination form...

Summary With the development of Internet Things (IoT), many middleware solutions have been proposed for integration physical world with Web. However, most leading provide only limited resource matching and selection functionality. When significant amounts resources are available, selecting appropriate becomes challenging time‐consuming. This paper addresses growing issues in IoT solutions. In this paper, we propose a novel model to describe multidimensional manner. Based on model, algorithm...

We experimentally demonstrate a broadband terahertz (THz) intensity modulator operating at low current and frequency range. The consists of VO2 meander–wire hybrid metamaterials. measured 3-dB bandwidth for normal incidence is 0.5 THz, while the maximum modulation depth 99% achieved 0.28 A. physical mechanism device's electrical tunability attributed to an ohmic-heating-induced transition. An equivalent circuit model proposed upper cut-off frequency. This scheme paves way full electric...

As the adoption of service-oriented paradigms in IoT (Internet Things) environment, real-world devices will open their capabilities through service interfaces, which enable other functional entities to interact with them. In an application, it is indispensable find suitable services for satisfying users' requirements or replacing unavailable services. However, from perspective performance, inappropriate desired repository online directly. Instead, clustering offline according similarity and...

To provide intelligent care, effortless experience and promote customer loyalty, it is essential that companies understand behavior predict needs. Customers "speak" to through a sequence of interactions across different care channels. Companies can benefit from listening this speech. We use the term journey refer aggregated has with company. Most existing research focuses on data visualization, descriptive analysis, obtaining managerial hints studying journeys. In contrast, goal paper future...