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Primary goals of Advanced Driver Assistance Systems (ADAS) are increased safety and situations with no stress for all traffic participants. Parking safety is improved by presenting real-time vehicle environment to the driver (surround view, bird's eye view). Bird's eye view is 3D camera and parking sensors system which assist driver with parking. It covers all angles and alerts the driver about obstacles,...
In this paper, a novel approach to identifying superpixels in the cluttered environment is proposed. In our proposed method, the temporal cue and depth maps obtained from depth sensors are combined with the popular method SLIC for superpixels using a new formulation of distance-minimizing clustering. Under cluttered environment, this proposed method can, compared with color-based approaches, better...
Novel azide-substitued polypyridine ligand, 2-(4-(azidomethyl)phenyl)-1H-imidazo[4,5-f][1,10]phenanthroline (N3-PPY), and its Ruthenium(II) complexes were synthesized. Their spectroscopic properties were investigated. All starting materials and reagents used were purchased from Sigma Aldrich, Merck and used without further purification. All aqueous solutions were prepared with deionized water that...
This paper presents a measure intended to quantify the relative strategic depth of games as experienced by human players. The measure is based on the complexity (number and specificity of rules) of a hierarchical knowledge base that is extracted from playtraces. As a proof-of-concept, we compute the proposed measure for three arcade-style games and compare the results to the strategic depth reportedly...
In order to obtain accurate single-phase-to-ground zero-sequence current signal to improve the accuracy of fault line selection, a new data acquisition method—compressed sensing theory, was applied to single-phase-to- ground fault line selection of distribution network. A new method of fault line selection based on Bayesian compressed sensing theory was proposed. The method used compressed sampling...
In recent technological advancement such as smart grid applications, security surveillance & border protection, internet of things, disaster management & other smart home applications exhilarate the deployment of autonomous, self-configured, large-scale wireless sensor networks. Efficient power conservation is crucial concerns for sensor networks to operate in the hostile environment. Therefore...
In a networked control system (NCS) where plants and controllers are connected through communication networks, it is important to decrease the number of times of communications under preserving of control performances such as optimality and stability. From this viewpoint, event-triggered control has been studied so far. In event-triggered control, the measured signal is sent to the controller only...
The Compressed Sensing (CS) framework is heavily utilized to reduce data rate in hardware restricted scenarios by exploiting the intrinsic sparsity of the transmitted data. Considering multiple sensors at the same time, one variation of the Multi Channel (MC) framework takes several measurements at one time instant and then uses CS in the spatial domain to compress the data. This paper provides a...
This paper is based on the previous research that selects the proper surrogate nodes for fast recovery mechanism in industrial IoT (Internet of Things) Environment which uses a variety of sensors to collect the data and exchange the collected data in real-time for creating added value. We are going to suggest the way that how to decide the number of surrogate node automatically in different deployed...
The importance of foresight at the organizational level, as well as the ways to measure it have begun to be studied in the recent literature on strategic management. One overarching conclusion that stems from these studies is that organizational foresight is not developed in isolation, but evolves as an aggregation of capabilities (in the sense of the microfoundational literature) throughout the organization...
This paper proposes a distance coefficient-based scheme to solve the problem of selecting k control centers from the sensors in a wireless sensor network as well as dividing the sensors into k groups for the minimization of the distance between each control center and its farthest sensor. The proposed scheme can avoid the drawback of applying the farthest-first or the nearest-first method in the control...
Localization and mobility monitoring are fundamental functions for constructing a smart living space. This paper presents a smart living platform based on motion sensing carpets. It is developed in the form of 50×50cm ‘puzzle floor mat’ units, which allows the users to assemble by themselves according to their desired shape and area. From the pressure data collected by motion sensing carpets, functions...
Code division multiple access (CDMA) is a widelyused multiple-access scheme in conventional communication systems. In this paper, we consider code division multiple access in molecular communication: since molecular communication has a non-negativity constraint, we consider a nonnegative variant of CDMA that was developed for optical communication. Our results include an information transmission scheme,...
In this paper, the problem of queue in convenient stores is considered. We propose a low cost automatic queue length monitoring system by using an Internet-of-Things (IoT) platform. This system can detect the length of queue and the number of people that enqueue and leave the queue. If the length of queue is critical, the system will alert to staff via LINE Notify. Experimental results indicate that...
The rapid growth of sensor-embedded smartphones has led to a new data sensing and collecting paradigm, known as crowdsensing. Many auction-based incentive mechanisms have been proposed to stimulate smartphone users to participate in crowdsensing. However, none of them have taken into consideration the Sybil attack where a user illegitimately pretends multiple identities to gain benefits. This attack...
The recent proliferation of increasingly capable mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource the collection of sensory data to a crowd of participating workers that carry various mobile devices. Aware of the paramount importance of effectively incentivizing participation in such systems, the research community has proposed a wide variety of incentive mechanisms...
We describe an end-to-end platform called SpecSense to support large scale spectrum monitoring. SpecSense crowdsources spectrum monitoring to low-cost, low-power commodity SDR/embedded platforms and provides necessary analytics support in a central spectrum server. In this work, we describe SpecSense and address specific challenges related to accurately estimate spectrum occupancy on demand with low...
Currently, the limitation of battery has become a serious obstacle for the development of Internet of things (IoTs). Therefore, a new network architecture, named as battery-free network, were proposed. In a typical battery-free network, the battery-free nodes are equipped with any battery and can only gain energy from the environment. Such network extremely expands the scope of the IoT applications,...
Crowdsourcing has emerged as an important data collection paradigm in participatory and human-centric sensing applications. While many crowdsourcing studies focus on sensing and recovering the status of the physical world, this paper investigates the problem of profiling the crowd sensors (i.e., humans). In particular, we study the problem of accurately inferring the home locations of people from...
On the basis of a mathematical apparatus of the mixed Markov processes for discrete time optimum and quasioptimum adaptive algorithms of filtration of parameters of the UAV movement on data from its location calculated on the basis the time difference of arrival method are synthesized. Devices that they are realized, are multichannel and belongs to the class of devices with feedback between channels...
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