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We envision Peer-to-Peer (P2P) systems that allow for the integration and collaboration of peers with diverse capabilities to form virtual communities. Such communities will be able to engage in greater tasks beyond what can be accomplished by individual peers, yet are beneficial to all the peers. These emerging systems will share a variety of resources such as processor cycles, storage capacity,...
This paper is aimed at solving the source location problem of acoustic emission (AE). Because the sonic speed will be changed along with different materials, it is very difficult to be accurately measured. This paper makes use of a method which can realize sound source localization without the measurement of sonic speed. Four AE sensors are arrayed according to the square shape, and the time difference...
Network lifetime is crucial in Wireless Sensor Network (WSN) systems since recharging or exchanging the sensors is difficult and expensive. Clustering techniques provide an interface for WSN topology management to extend network lifetime. Existing clustering algorithms, such as LEACH and HEED, can significantly reduce the power consumption on each sensor and thus prolong the network lifetime. However,...
Motorcycles are cost-efficient transportation but regarded as unsafe. To build safer motorcycle, the vehicle motion of motorcycles should be clarified. The motion depends on that of a rider much more than that of the body of a motorcycle, and thus motorcycle companies do not have enough motion data. Our research group has researched a sensing network with motorcycles and a vehicle-motion corpus of...
In this paper, a group of outdoor wireless sensors are assigned to trace the indoor barriers. We introduce a framework based on compressive sensing theory that allows sensors to map the 2D spatial details of a building non-invasively. By exploiting an alternative projection method, called fan-beam, sensors can efficiently observe area indirectly. It is also shown that how sparse representation of...
In this paper, we examine a cognitive spectrum access scheme in which a secondary user exploits the primary feedback information. We consider an overlay model in which the secondary user accesses the channel by certain access probabilities that are function of the spectrum sensing metric. In setting our problem, we assume that the secondary user can receive the primary link's feedback automatic repeat...
Contemporary software systems are becoming increasingly large, heterogeneous, and decentralised. They operate in dynamic environments and their architectures exhibit complex trade-offs across dimensions of goals, time, and interaction, which emerges internally from the systems and externally from their environment. This gives rise to the vision of self-aware architecture, where design decisions and...
This poster describes the information funnel, a data collection protocol for social sensing that maximizes a measure of delivered information utility. We argue that information-centric networking (ICN), where data objects are named instead of hosts, is especially suited for utility-maximizing transport in resource-constrained environments, because data names can expose similarities between named objects...
This poster is aimed at solving the problem of maximizing the energy margin of a solar-powered sensor network at a fixed time horizon, to maximize the network performance during an event to monitor. Using a game theoretic approach, the optimal routing maximizing the energy margin of the network at a given time under solar power forcing can be computed in a decentralized way and solved exactly through...
We present eNav, a smartphone-based vehicular GPS navigation system that has an energy-saving location sensing mode capable of drastically reducing navigation energy needs. Traditional implementations sample the phone GPS at the highest possible rate (usually 1Hz) to ensure constant highest possible localization accuracy. This practice results in excessive phone battery consumption and reduces the...
Proper technology transfer based on scientific data is inevitable for farmers to promote sustainable agriculture which is a common target of modern food production. In under-developing countries, illiteracy of farmers is one of the major reasons for them to receive sufficient information and knowledge for such sustainable food production. In this study, we conducted a trial to examine effectiveness...
Due to problems with attention, cognition, memory, and executive functions people with Cognitive Impairments face difficulties in independently completing certain instrumental activities of daily living such as meal preparation. The purpose of this research study was to understand specific problems people with cognitive impairments face in their activities around their kitchen, specifically focusing...
Smartphones have become a pervasive technology as they are not only a powerful multimedia device but also offer a rich sensing platform with a plethora of built-in sensors, such as temperature, light, GPS, accelerometers, and so on. Smartphones also provide multiple wireless interfaces (e.g., Bluetooth, WiFi, cellular) to connect to the external sensors and the Internet. This has led to what is called...
Since participatory sensing relies on users' active participation, several monetary incentive mechanisms for attracting users' participation have been proposed. However, to make users participate in “heavy” sensing tasks (either physically or mentally), stronger incentive is required. Thus, the total amount of rewards paid by the client will quickly rise. In this paper, we propose a novel incentive...
Crowd sensing is an approach to collect many samples of a phenomena of interest by distributing the sampling across a large number of individuals. While any one individual may not provide sufficient samples, aggregating samples across many individuals may provide high-quality and high-coverage measurements of a phenomena. In this work, we propose an incentive assignment mechanism for crowd sensing...
Participatory sensing projects typically rely on time-based polling or volunteer-initiated data collection. We have investigated the potential benefits of managed sensing, in which requests for information are targeted at particular volunteers as they visit locations of interest. We performed a study comprising of 24 volunteers who were asked to report sightings of bees whilst visiting gardens over...
In this paper we present a novel probabilistic approach to activity recognition. Our approach is to estimate posterior probabilities of different activities using Bayes' rule. The approach can handle any type of activities as long as it is possible to estimate the conditional probabilities of potential observations, and easily scales to large numbers of activities. We test our approach empirically...
This paper presents optimization of sensing-transmission structure for dynamic spectrum access in cognitive radios with respect to Secondary User's probability of false alarm. In opportunistic spectrum access, the white spaces in the transmissions of primary users (PUs) have to be sensed and utilized by Secondary Users (SU). There is a continuous tradeoff between the competing goals of PU transmission...
In this paper we study an efficiently and simple algorithm for mobile sensor management in moving target tracking problem. The novel method leads to reduce comparison number of sensor sequences and executive time for unconstrained optimization. It results in reduce memory utilization and computational cost as well. The Kalman Filter technique is applied to predict posteriori state of target. In addition,...
Emergency responses must utilize all information sources available to the emergency operations centers. University campuses are overflowing with information sources due to their infrastructure of information technology (IT). While serving a student body of thousands and sometimes 10s of thousands, every operation in a university involves an IT enterprise system. While enterprise systems store and...
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