'Wikification of GIS by the masses' is a phrase-term first coined Kamel Boulos in 2005, two years earlier than Goodchild's term 'Volunteered Geographic Information'. Six later (2005-2011), OpenStreetMap and Google Earth (GE) are now full-fledged, crowdsourced 'Wikipedias Earth' par excellence, with millions users contributing their own layers to GE, attaching photos, videos, notes even 3-D (three dimensional) models locations GE. From using Twitter participatory sensing bicycle-mounted...

Opinion mining from customer reviews has become pervasive in recent years.Sentences reviews, however, are usually classified independently, even though they form part of a review's argumentative structure.Intuitively, sentences review build and elaborate upon each other; knowledge the structure sentential context should thus inform classification sentence.We demonstrate this hypothesis for task aspect-based sentiment analysis by modeling interdependencies with hierarchical bidirectional...

This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control intelligence. The aim this is to draw objective answers two proposed questions, relating to: (1) reconfigurable design industry adoption; (2) enabling present future state technology. Key areas reviewed include: (a) RMS – fundamentals, rational, economic benefits, needs challenges; (b) Machine Control...

Abstract The development of the Internet Things (IoT) technology and their integration in smart cities have changed way we work live, enriched our society. However, IoT technologies present several challenges such as increases energy consumption, produces toxic pollution well E-waste cities. Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green leads to an eco-friendly environment, which is more sustainable for Therefore, it essential address...

The healthcare Internet-of-Things (IoT) offers many benefits including data transmission in real-time mode, the ability to monitor physiological state of patient a different interval time. Devices such as blood-pressure monitors, glucose meters, heart monitoring implants, Electroencephalography (EEG), Electrocardiogram (ECG), and Electromyography (EMG) wearable devices allow health providers collect information locally make decision based on Patient Health Data (PHD). Hospitals have been...

AC losses due to nonsinusoidal current waveforms have been found by calculating the at harmonic frequencies when Fourier coefficients are known. An optimized foil or layer thickness in a winding may be applying analysis over range of values. This paper presents new formula for optimum thickness, without need and calculations frequencies. The requires RMS value waveform its derivative. It is simple, straightforward applies any periodic waveshape.

Switching circuits, operating at high frequencies, have led to considerable reductions in the size of magnetic components and power supplies. Nonsinusoidal voltage current waveforms high-frequency skin proximity effects contribute transformer losses. Traditionally, design has been based on sinusoidal low frequencies. The physical electrical properties form basis a new methodology while taking full account effects. Core selection is optimum throughput energy with minimum core found directly...

Everyone on the Internet knows buzzword social networking. Social networking services (SNS) usually offer same basic functionalities: network of friends listings, person surfing, private messaging etc. With such features, SNSs demonstrate how continues to better connect people for various and professional purposes. The fundamental problems with today's block their potential access full range available content networked online. A possible solution is build semantic into fabric next-generation...

This paper describes our deep learning-based approach to multilingual aspect-based sentiment analysis as part of SemEval 2016 Task 5. We use a convolutional neural network (CNN) for both aspect extraction and analysis. cast multi-label classification problem, outputting probabilities over aspects parameterized by threshold. To determine the towards an aspect, we concatenate vector with every word embedding apply convolution it. Our constrained system (unconstrained English) achieves...

Twitter, as a social media is very popular way of expressing opinions and interacting with other people in the online world. When taken aggregation tweets can provide reflection public sentiment towards events. In this paper, we positive or negative on Twitter posts using well-known machine learning method for text categorization. addition, use manually labeled (positive/negative) to build trained accomplish task. The task looking correlation between twitter events that have occurred. model...

In recent years, due to technological advancements, the concept of Industry 4.0 (I4.0) is gaining popularity, while presenting several technical challenges being tackled by both industrial and academic research communities. Semantic Web including Knowledge Graphs a promising technology that can play significant role in realizing I4.0 implementations. This paper surveys use for from different perspectives such as managing information related equipment maintenance, resource optimization,...

Convolutional neural networks (CNNs) have demonstrated superior capability for extracting information from raw signals in computer vision. Recently, character-level and multi-channel CNNs exhibited excellent performance sentence classification tasks. We apply to large-scale authorship attribution, which aims determine an unknown text's author among many candidate authors, motivated by their ability process differentiate between a large number of classes, while making fast predictions...

Electric vehicles (EVs) need to be recharged at intermediate locations, such as shopping malls, restaurants, and parking lots, meet the daily commute requirements of their users. Currently, public electric vehicle supply equipment (EVSE) serve EVs by conventional methods, which can result in long waiting time for This issue reduces travel efficiency thus affects user comfort. Most previous research has studied energy consumption charging cost optimization; however, comparatively less work...

The proliferation of sensing technologies such as sensors has resulted in vast amounts time-series data being produced by machines industrial plants and factories. There is much information available that can be used to predict machine breakdown degradation a given factory. downtime equipment accounts for heavy losses revenue reduced making accurate failure predictions using the sensor data. Internet Things (IoT) have made it possible collect real time. We found hybrid modelling result...

Online communities are islands of people and topics that not interlinked. Complementary discussions exist on disparate systems but it is currently difficult to exploit the available distributed information. A Semantically Interlinked Community (SIOC) can enable efficient information dissemination across by creating an ontology will model concepts identified in discussion methods. Data instances be accessed from community sites using this ontology, enabling connections between local remote...

One of the most visible trends on Web is emergence Social sites, which help people create and gather knowledge by simplifying user contributions via blogs, tagging folksonomies, wikis, podcasts, online social networks. Current online-community sites are isolated from one another, like islands in a sea. Various discussions might contain complementary discussions—parts answer person looking for—but participating discussion can't readily access information about related elsewhere. The potential...

User profiling techniques have mostly focused on retrieving and representing a user's knowledge, context interests in order to provide recommendations, personalise search, build user-adaptive systems. However, building user profile single social network limits the quality completeness of profile, especially when interoperability is key its reuse different sites necessary for providing other types personalisation. Indeed recent studies shown that users Social Web often use networking diverse,...