Web 3.0 is the next-generation Internet that enables participants to read, write, and own contents in a decentralized manner. It mainly driven by blockchain, semantic communication, edge computing, artificial intelligence, which can construct value networks achieve participatory economics based on decision making. capture characteristics of extraction, communication sharing transfer information precisely. However, current solutions focus blockchain while overlooking other new technologies'...

Through the file mining analysis of fault event reports, it is possible to discover mode characteristics that exist between different events, thereby providing empirical guidance for safety management. The self-organizing mapping SOM clustering method was used analyze cause 520 unplanned shutdown events in power plants. main influencing factors are divided into six primary indicators: external factors, technical equipment failures, pipeline logical and human 36 secondary indicators factors....

Wearable sensors and smart phones have been used in human activity recognitions can achieve relative high accuracy however the power consumption is also high. In this paper, we propose an recognition approach that with low consumption. Two strategies applied to reduce The first strategy using hierarchical support vector machine classification algorithm computational complexity. second sensor data sampling rates. Data collected from rate were processed a wider time window for feature...

Abstract Automated optical inspection (AOI) is increasingly advocated for in situ quality monitoring of additive manufacturing (AM) processes. The availability layerwise imaging data improves the information visibility during fabrication processes and thus conducive to performing online certification. However, few, if any, have investigated high-speed contact image sensors (CIS) (i.e., originally developed document scanners multifunction printers) AM monitoring. In addition, images show...

The domain of machine text translation and matching is undergoing substantial transformations amidst the perpetual evolution deep learning methodologies. By amalgamating contemporary realm generative models networks with multi-faceted attentiveness multiple heads, there has been a pronounced enhancement in efficacy existing endeavors. Consequently, this manuscript endeavors to elucidate intricacies text-matching conundrum within ambit English translation. It posits novel MA-Transformer...

Review function, as a feedback mechanism from users to developers and vendors, is provided by most APP distribution platforms that allow rate comment an after using it.User reviews are recognized valuable source improve APPs increase the value for users.With sharp in amount of user reviews, how effectively efficiently analyze identify potential critical needs them becomes challenge.In this paper, we propose approach automatically requirements information further classify into functional...

GPS enhances the ability of UAV system to control air vehicle, an electronic map displays dynamically position results and happenings around UAV. To combine map, visual dynamic location navigation is realized.

The importance of groups in a business cannot be underestimated because working as team is the most efficient way to find solutions specific problem. This review paper aimed provide comprehensive view group and dynamics light diverse theories from past present by exploring how significant components are entrenched contemporary literature. An extensive literature was performed examine 55 articles collected various databases such Web Science Scopus published between 2000 2020. In social...

In recent years, we've witnessed the remarkable growth of computer vision applications in both maritime and fresh water domains. These technologies have played pivotal roles search rescue (SaR), detection illegal fishing, airborne surface reconnaissance, offshore wind farm oil rig inspections, animal population monitoring, beyond. Multi-Object Tracking is one most important vision. Our paper tries to explore Unmanned Aerial vehicles (UAVs) Surface Vehicles (USVs). Most current algorithms...

The shadows of pedestrians decrease the tracking performance dramatically in video surveillance. This paper presents a method shadow removal to improve accuracy pedestrian detection and indoor environments. proposed can be divided into four steps: build background model which automatically updated, extract moving objects region, eliminate shadows, classify track region from have been eliminated. In this work, we propose methodology using foreground frames without detect across training...

The ability to automatically identify industry sector coverage in articles on legal developments, or any kind of news for that matter, can bring plentiful benefits both the readers and content creators themselves. By having tagged based coverage, from all around world would be able get are specific their region professional industry. Simultaneously, writers benefit understanding which industries potentially lack currently mostly interested thus, they focus writing efforts towards more...

Our work-in-progress paper explores students' role-changing patterns while working on science tasks in small groups. Grounded the Collaboration Conceptual Model, we examined how members 15 middle school student groups changed their roles throughout entire collaborative activities. We annotated role changes at a one-minute segment, as well overall group collaboration quality individual task level for each group. analytical approach involved hierarchical cluster analysis and non-parametric...

Due to the high burstiness and high-bandwidth characteristics of services, optical interconnect in intra-datacenter networks has attracted much attention. Many datacenter applications environment require lower delay higher availability with end-to-end guaranteed quality service. In this paper, we propose a novel latency-aware software defined networking (LaSDN) architecture for OpenFlow-based networks, by introducing service scheduling (LaSS) strategy. LaSDN can arrange accommodate required...

In this paper, p-Cube is proposed to deal with multi-link failures in server-centric datacenter, and heuristic algorithms are proposed. Simulation shows that has better performance than p-Cycle at resource utilization rate protection rate.

Abstract. The on-going effects of severe drought in East Africa are causing high levels malnutrition, hunger, illness and death. Close to 16 million people across Somalia, Ethiopia Kenya need food, water medical assistance (DEC, 2017). Many factors influence stress ability respond. However, inevitably it is asked: elevated atmospheric greenhouse gas (GHG) concentrations altering the likelihood extreme rainfall deficits? We find small increases probability this for African, based on merging...

The efficient management of massive Resource Description Framework (RDF) data is very important in the future Semantic Web. RDF has a natural structure graph. Thus, traditional models such as relational model and object are difficult to meet requirements both low redundancy high query performance. If it uses graph manage data, then there no need converse logical physical model. This paper proposes storage approach based on database. In perspective model, partitions dataset heuristic greedy...

Web 3.0 is the next-generation Internet that enables participants to read, write, and own contents in a decentralized manner. It mainly driven by blockchain, semantic communication, edge computing, artificial intelligence, which can construct value networks achieve participatory economics based on decision making. capture characteristics of extraction, communication sharing transfer information precisely. However, current solutions focus blockchain while overlooking other new technologies'...