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We show that non-zero discord state can be generated via classical second-order interference. Considering the fundamental importance of interference, this result provides a new insight to understand the physical interpretation of quantum discord.
The orbital angular momentum modes increase the system capacity and the spectral efficiency when multiplexing technology in microwave and optic communication systems is used. Despite its effectiveness, OAM for wireless communications has problems due to its divergence characteristics. In this paper an orbital angular momentum beam by the microwave antenna was presented as a pseudo-bessel mode which...
Recently, the amount of spatial information generated in real time due to the use of SNS is increasing rapidly. Research is also actively underway to extract only the information of interest from real-time spatial information. Then, the spatial information generated in the SNS can be requested by the API of the corresponding SNS company. In this case, the responding spatial information is provided...
Most of IoT applications include large number of distributed sensors which are interesting in specific geographical area. A large number of IoT entities have multiple relations and dynamic connections with each other. And there are many group communication requirements. Flexible multicast mechanism will be essential in such environments but it is difficult to satisfy verious requirements by means...
MQTT is widely used as a flexible communication middleware for general IoT services. MQTT has publish/subscribe communication model and a broker-based architecture which may occur serious problems such as unpredictable transmission delay time and packet loss due to unknown changes of communication nodes and various traffic in a large-scale IoT environments. In this paper, we propose a communication...
This paper aims at improving stability criteria for generalized neural networks with time-varying delays by adaptively utilizing a second-order orthogonal polynomials-based integral inequality. Also, to fully employ the integral inequality, stability criteria are developed with not only integral state terms but also their interval-normalized terms. Additionally, general activation function conditions...
Semantic lines characterize the layout of an image. Despite their importance in image analysis and scene understanding, there is no reliable research for semantic line detection. In this paper, we propose a semantic line detector using a convolutional neural network with multi-task learning, by regarding the line detection as a combination of classification and regression tasks. We use convolution...
A temporal superpixel algorithm based on proximity-weighted patch matching (TS-PPM) is proposed in this work. We develop the proximity-weighted patch matching (PPM), which estimates the motion vector of a superpixel robustly, by considering the patch matching distances of neighboring superpixels as well as the target superpixel. In each frame, we initialize superpixels by transferring the superpixel...
A novel online algorithm to segment multiple objects in a video sequence is proposed in this work. We develop the collaborative detection, tracking, and segmentation (CDTS) technique to extract multiple segment tracks accurately. First, we jointly use object detector and tracker to generate multiple bounding box tracks for objects. Second, we transform each bounding box into a pixel-wise segment,...
This paper proposes a control strategy for the dual-BESS system using optimal control. Previously designed one-step MPC (Model Predictive Control) based strategy is extended for a dual-BESS case. To this end, a two-stage optimal control problem is solved. Since the resulting algorithm for charging and discharging of dual BESS comes in the form of a simple if-then statement, it is easy to implement...
A background subtraction algorithm using an encoderdecoder structured convolutional neural network is proposed in this work, in order to segment out moving objects from the background. A target frame, its previous frame, and a background model are concatenated and fed into the network as the input. Then, the encoder generates a highlevel feature vector, and the decoder converts the feature vector...
Temperature-insensitive silicon MZI with local heaters is fabricated by DUV lithography. Temperature dependence is less than 5pm/°C but the wavelength can be tuned by the local heater at the efficiency of 24mW/FSR. The results are discussed in comparison with permanent wavelength trimming by thermal annealing.
A semi-supervised online video object segmentation algorithm, which accepts user annotations about a target object at the first frame, is proposed in this work. We propagate the segmentation labels at the previous frame to the current frame using optical flow vectors. However, the propagation is error-prone. Therefore, we develop the convolutional trident network (CTN), which has three decoding branches:...
A novel algorithm to segment a primary object in a video sequence is proposed in this work. First, we generate candidate regions for the primary object using both color and motion edges. Second, we estimate initial primary object regions, by exploiting the recurrence property of the primary object. Third, we augment the initial regions with missing parts or reducing them by excluding noisy parts repeatedly...
A novel contour-constrained superpixel (CCS) algorithm is proposed in this work. We initialize superpixels and regions in a regular grid and then refine the superpixel label of each region hierarchically from block to pixel levels. To make superpixel boundaries compatible with object contours, we propose the notion of contour pattern matching and formulate an objective function including the contour...
The contribution focuses on the current status of the ESA study entitled “InSARAP Sentinel-1 Constellation Study”, which investigates the interferometric performance of the S1A/S1B units. General aspects like the interferometric compatibility in terms of common range and Doppler bandwidth and the burst synchronization are addressed. Besides the first interferometric results with both units, time series...
AfriSAR is an ESA-funded airborne P- and L-band SAR campaign over the African tropical forests of Gabon carried out by ONERA (July 2015) and DLR (February 2016). The different acquisitions were designed in order to collect multibaseline fully polarimetric data allowing the inversion of key forest vertical structure-based parameters, like e.g. forest height and high resolution reflectivity profiles...
In this work, we discuss the retrieval of information about the vertical structure of the ionospheric phase by means of Multi-Squint Interferometry (MSInSAR). A model of the MS phase is proposed that accounts for multiple ionospheric layers and residual topographical terms. This model is then generalized to the case of a continuous distribution, which can be retrieved from the MS phase via a 2D Fourier...
Pipeline flush due to the flow change of instruction can be a huge degradation factor in modern processors since the branch instructions consist of more than 20 % of all instructions when running a program. However, with a characteristic called branch locality, the result of branch execution is predictable. By utilizing branch locality, there have been a lot of researches to improve the prediction...
Robot arms are being increasingly used in various fields with special attention given to unmanned systems. In this research we developed a high payload dual arm robot, in which the forearm module is modifiable depending on the assigned task, such as object handling or lifting humans in a rescue operation. With each forearm module specialized for an assigned task (e.g. safety for rescue and redundant...
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