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With the advances of control and vehicular communication technologies, a group of connected and autonomous (CA) vehicles can drive cooperatively to form a so-called cooperative driving pattern, which has been verified to significantly improve road safety, traffic efficiency and the environmental sustainability. A more general scenario that various types of cooperative driving, such as vehicle platooning...
Glyphosate is a commonly used herbicide which carries some risks of ecotoxicity and has been shown to be harmful to human beings with high levels of exposure. Existing methods of glyphosate detection often struggle to achieve the level of sensitivity required to meet regulatory requirements without the use of complicated analytical methods with multiple intermediary steps. We propose the use of microwave...
Compressive sampling has shown great potential for making wideband spectrum sensing possible at sub-Nyquist sampling rates. As a result, there have recently been research efforts that aimed to develop techniques that leverage compressive sampling to enable compressed wideband spectrum sensing. These techniques consider homogeneous wideband spectrum, where all bands are assumed to have similar PU traffic...
Range finding is a core service in many applications for smart homes and cities. Recently studies have been exploring ultrasound-based range finding with commercial-off-the-shelf (COTS) mobile devices. Yet their accuracy is largely bounded by the limited sample rate (typically up to 48 kHz; i.e. only sensitive to sound below 24 kHz) of their built-in microphones and chips. In this paper, we introduce...
Smart cities employ latest information and communication technologies to enhance services for citizens. Sensing is essential to monitor current status of infrastructures and the environment. In Mobile Crowdsensing (MCS), citizens participate in the sensing process contributing data with their mobile devices such as smartphones, tablets and wearables. To be effective, MCS systems require a large number...
We consider UAV IoT aerial sensing that delivers multiple VR/AR immersive communication sessions to remote users. The UAV swarm is spatially distributed over a wide area of interest, and each UAV captures a viewpoint of the scene below it. The remote users are interested in visual immersive navigation of specific subareas/scenes of interest, reconstructed on their respective VR/AR devices from the...
Using the sensor to monitor and to evaluate sports performance is a new trend in the future. The experimental results will be affected by the sampling frequency, placement of sensors, setting of the filter and instrumental correction, etc. This study is to explore the effect of different detection of position on swimming stroke. Methods: Three swimmers are participating in this research. Two inertial...
The increasing of device interoperability creates a new way to design smart houses and to support enhanced living environments having as main aim the increasing of quality of life. In this context more supporting platforms for smart houses were developed, some of them using Cloud systems for remote supervision and control. An important aspect, which is an open issue for both industry and academia,...
The Cyber-Physical System (CPS) is the core concept of Industry 4.0 for building smart factories. We can rely on the ISA-95 architecture or the 5C architecture to build the CPS. However, both architectures emphasize more on vertical integration, and less on horizontal integration. This paper proposes the 8C architecture by adding 3C facets into the 5C architecture. The 3C facets are coalition, customer,...
The GPS guided autonomous vehicle seems to be more and more popular in recent years. Not only for military and science purposes, but also for civil use. There were many events which catched people's eyes, for example, the Google's self-driving car project(2009∼) and the noTonomy's self-driving taxi(2016∼). On the other hand, due to the booming of mobile device, the GPS related function has been built...
In this paper, we present some features of our in-situ indoor-outdoor authoring tool for location-based learning experiences. For example, how to reuse locations in different experiences or how to design from scratch in places without any location sensing mechanisms. In addition, we describe some features in which we are working on. We expect to create a space for discussion about these kind of tools...
Stroke is the primary cause of serious long-term disability in the world. A long period of a rehabilitation program is required for those patients with the function loss of upper limb motor. In order to track the progression of the rehabilitation, the approaches to assessment of upper limb performance is the important task to evaluate the effectiveness of therapies. However, the typical assessment...
The internet of Things (IoT) is changing the way people work, behave, interact, study and believe through the interconnectivity and interoperability of human beings, digital devices and various systems. Nevertheless, the perception of IoT and its impact on the society, remains unexploited to some countries which are reluctant to adapt the technology. This paper investigates the viewpoints of master's...
This paper develops the study about parking spaces detection in indoor environments, implementing a wireless sensor networks (WSNs) based on Zigbee technology. With the popularity of digital communications technology, there are many people engaged in wireless sensor network applications. Indoor positioning technology is very important area among wireless sensor network applications. In this paper,...
The noise pollution is still a troubling problem for us, especial in hospital, library, baby-care center, etc. Although many decibel-meters are applied to those environment, which indeed must be kept quit, but the decibel-meters can only detect the noise pollution limited to nearest area around the device. We will face the incorrect measuring data from the decibel-meters in bigger space like library...
Pedestrian detection is an important topic in many applications, such as intelligent transportation systems (ITSs) or surveillance. For the purpose of applications used around the clock, the work for detecting pedestrian based on thermal sensors has attracted significant attention. To achieve this, this paper proposes a LBP (local binary pattern) encoded multi-level classifier for detecting pedestrians...
Cooperative sensing enables secondary users to combine individual sensing results in order to attain sensing accuracies beyond those achieved by consumer RF devices. However, due to sensing costs, secondary users may prefer not to cooperate to the sensing task, leading to higher false alarm probability. In this paper, we study how information about the presence of cooperators affects the dynamics...
Billions of objects connect to the internet by using Internet of Things (IoT). Current trends of IoT are developing protocols, platforms make objects accessible across domains. The purpose of these studies is to combine all IoT devices on main host systems. However, the host systems have a problem about the mismatch between devices and the host. To solve this problem we have designed the Information...
Motivated by applications in competitive WiFi sensing, and competition to grab user attention in social networks, the problem of when to arrive at/sample a shared resource/server platform with multiple players is considered. Server activity is intermittent, with the server switching between ON and OFF periods alternatively. Each player spends a certain cost to sample the server state, and the per-player...
While wearable devices have been the buzzword inthese days, they are still in the infant market stage. Thoughdemand for wearable devices has skyrocketed, the early abandonmentof devices become an important issue. Many studiesexamine the usage of wearable devices with user survey. However,it is essential to look at the real behavior of wearable users howand why wearable users enjoy or abandon devices...
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