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Relevance plays a key role in determining how ranking features are weighed in rank algorithms. In particular, the Search Engine Result Page (SERP) presents documents from the algorithmic relevance perspective. User relevance, however, is situational and describes the searcher's perception of the contextual document which is interpreted at rank time. Therefore, without it the monotonic decreasing click...
Cardiovascular diseases are the leading cause of mortality worldwide and impose a tremendous burden on socio-economic costs. At present, prevention strategies based on personalized lifestyle interventions are considered the best way to contain the epidemics of these diseases. In this view, availability of innovative technological systems able to assist people in self-monitoring and self-coaching is...
Deep neural networks (DNNs) usually demand a large amount of operations for real-time inference. Especially, fully-connected layers contain a large number of weights, thus they usually need many off-chip memory accesses for inference. We propose a weight compression method for deep neural networks, which allows values of +1 or −1 only at predetermined positions of the weights so that decoding using...
This article presents a method to obtain personalized Head-Related Transfer Functions (HRTFs) for creating virtual soundscapes based on small amount of measurements. The best matching set of HRTFs are selected among the entries from publicly available databases. The proposed method is evaluated using a listening test where subjects assess the audio samples created using the best matching set of HRTFs...
Universal Filtered Orthogonal Frequency Division Multiplexing (UF-OFDM) is considered one of the main wave-form candidates to overcome the challenges facing the next generation of mobile communication systems. Due to its spectral properties it can support relaxed synchronization, low-latency communications and flexible time transmission interval. Nevertheless, the available recent literature addresses...
Software frameworks enable developers to reuse existing well tested functionalities instead of taking the burden of implementing everything from scratch. However, to meet application specific requirements, the frameworks need to be customized via extension points. This is often done by passing a framework related object as an argument to an API call. To enable such customizations, the object can be...
Tensor algebra is an important computational abstraction that is increasingly used in data analytics, machine learning, engineering, and the physical sciences. However, the number of tensor expressions is unbounded, which makes it hard to develop and optimize libraries. Furthermore, the tensors are often sparse (most components are zero), which means the code has to traverse compressed formats. To...
The naming of local variables is usually at the programmer's discretion. Thus, there is a diversity in naming local variables and this may cause variations in the code quality. Many coding conventions say that the name of a local variable can/should be short. This paper focuses on such conventions, and aims to explore the trends of local variables' names in Java and examine if abnormal local variables...
Significant increases in computational resources have enabled the development of more complex and spatially better resolved weather and climate models. As a result the amount of output generated by data assimilation systems and by weather and climate simulations is rapidly increasing e.g. due to higher spatial resolution, more realisations and higher frequency data. However, while compute performance...
Internet piracy is a significant ongoing problem for content producers and rights holders. Estimates of the cost of copyright infringement to the film and music industries range in the tens to hundreds of billions of dollars every year. The vast majority of this illegal content is shared using three key technologies: peer-to-peer (P2P) protocols such as BitTorrent, illegal file streaming, and one-click...
The intersectoral model MEMMAS was developed as a tool for describing and forecasting the economy in the context of substantial changes in the external and internal conditions of its development. MEMMAS combines a multi-agent description of the economy functioning with the interbranch input-output balance methodology. This model helped to conduct the forecasting studies of the impact of Urals oil...
Mobile devices now rival desktop computers as a method of web browsing. Even so, many web applications are still designed with the desktop setting in mind. As screen sizes of mobile devices continue to get larger, operating smartphones single-handedly becomes increasingly difficult. This paper explores the possibility of automatic operating hand detection by capturing users' touch traces during normal...
The report is devoted to the systematization of large terminological texts on the basis of a hierarchical representation of definitions of concepts. By integration, such models form a semantic network of terms. Thanks to the binary, homogeneous and oriented nature of this network, it is possible to obtain a hierarchical representation model and quantitative indices indicators for evaluating the integrity...
In the communication problem UR (universal relation), Alice and Bob respectively receive x, y ∊{0,1\}^n with the promise that x≠ y. The last player to receive a message must output an index i such that x_i≠ y_i. We prove that the randomized one-way communication complexity of this problem in the public coin model is exactly \Theta(\min\{n,\log(1/δ)\log^2(\frac...
For any n-bit boolean function f, we show that the randomized communication complexity of the composed function f o g^n, where g is an index gadget, is characterized by the randomized decision tree complexity of f. In particular, this means that many query complexity separations involving randomized models (e.g., classical vs. quantum) automatically imply analogous separations in communication complexity.
In this paper, we describe a gait generation method for the crawling motion of a legged robot using Normalized Energy Stability Margin (NESM). The crawling motion is a method of locomotion that, since the robot is very close to a state of falling, its leg and torso are grounded alternately in order to enable the robot to move with a low center of gravity. It has the benefit of decreasing the impact...
In many manufacturing application the system reliability performance is a key issue in order to obtain the best performance of the equipment. The paper focuses on the reliability enhancement of complex systems containing redundant architecture using the Reliability Importance (RI) methods in order to evaluate the weight of each element on the whole system reliability. The first part of the paper is...
In the recent decade, the solid-state transformer (SST) has been extensively investigated for the distribution systems. The basic idea of SST is to reduce the volume and weight of power transformer, as well as improve controllability and power quality of power systems. Among the existing SST topologies, modular multilevel converters (MMCs)-based SST is very promising due to its modularity and scalability,...
Modular multilevel converters (MMCs) have become the most promising converter technologies for medium/high-power applications, specifically for high-voltage direct current (HVDC) transmission systems. For the analysis of the large-scale MMCs-embedded power systems, i.e., multiterminal dc (MTDC) systems and dc grids, modeling and simulation plays an important role in transient and fault analysis. However,...
Neuroendocrine tumors (NET) are a heterogeneous group of tumors that can develop in almost every localization of the body. The study is the computation of the Ki-67 proliferation index, which is an important information for physicians, from the NET images. The physician control evaluations were carried out on histopathologic forms taken from healthy and NET-diagnosed patients with the designed automated...
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