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Due to the proliferation of inference tasks on mobile devices, state-of-the-art neural architectures are typically designed using Neural Architecture Search (NAS) to achieve good tradeoffs between machine learning accuracy and inference latency. While ...

Most mainstream web information extraction models adopt multidimensional analysis and then fusion evaluation, which has issues such as the high cost of vectorization and unreasonable fusion. For this reason, a text mining method of webpages based on the ...

As computing technology comes to dominate every aspect of social and political life, HCI must take greater account of History. The article considers four different historical periods impacted by division and denunciation: the European Witch Hunts, the ...

Graph Neural Networks (GNNs) such as Graph Convolutional Networks (GCN) can effectively learn node representations via aggregating neighbors based on the relation graph. However, despite a few exceptions, most of the previous work in this line does not ...

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic ...

This paper presents SoundSticker, a system for steganographic, in-band data communication over an acoustic channel. In contrast with recent works that hide bits in inaudible frequency bands, SoundSticker embeds hidden bits in the audible sounds, making ...

During the Covid-19 pandemic in Indonesia, food and beverage products were the products out of 4 other product sectors purchased by consumers with fast turnover, often called fast-moving consumer goods (FMCG). Products that are excellent during the ...

In recent years, new smart cities and digital real scenes have flourished in China, and the meta universe under smart cities may represent the development direction of smart cities in the future. Smart cities use physical data from their numerous ...

An event-based social network (EBSN) is a new type of social network that combines online and offline networks. In recent years, an important task in EBSN recommendation systems has been to design better and more reasonable recommendation algorithms to ...

As the world is still recovering from the detrimental effects of the COVID-19 pandemic, one key aspect of the pandemic era were the global efforts for containment, case tracking and several other factors. While the scientific and governmental ...

Our time is characterized by big sprawling urban complexes that a majority of the human population chooses to live where interactions with the environment seem to be vanishing from our day to day lives. Our relationship with the planet’s natural ...

Transcription tasks have been long used as the de-facto evaluation method in mobile text entry research. Evaluations use memorable phrase sets, in order to prevent participants from devoting more attention to the stimulus phrase than the bare minimum. ...

Mastication is considered a coping mechanism in dogs, therefore, providing chew toys as an enrichment technique may be particularly important in stressful environments, such as the kennel. However, the relationship between chewing and welfare in kennel-...

Continuous monitoring of human vital signs using non-contact mmWave radars is attractive due to their ability to penetrate garments and operate under different lighting conditions. Unfortunately, most prior research requires subjects to stay at a fixed ...

Nowadays, voice assistants help users complete tasks on the smartphone with voice commands, replacing traditional touchscreen interactions when such interactions are inhibited. However, the usability of those tools remains moderate due to the problems ...

With the increasing adoption of smart home devices, users rely on device automation to control their homes. This automation commonly comes in the form of smart home routines, an abstraction available via major vendors. Yet, questions remain about how a ...

Wireless earphones are pervasive acoustic sensing platforms that can be used for many applications such as motion tracking and handwriting input. However, wireless earphones suffer clock offset between the connected smart devices, which would accumulate ...

We present MoCaPose, a novel wearable motion capturing (MoCap) approach to continuously track the wearer's upper body's dynamic poses through multi-channel capacitive sensing integrated in fashionable, loose-fitting jackets. Unlike conventional wearable ...

Internet of Things (IoT) applications typically collect and analyse personal data that is categorised as sensitive or special category of personal data. These data are subject to a higher degree of protection under data privacy laws. Regardless of legal ...

For indoor settings, we investigate the impact of location on the spectral distribution of the received light, i.e., the intensity of light for different wavelengths. Our investigations confirm that even under the same light source, different locations ...