The asymptotic behavior of the distribution of the squared singular values of the sample autocovariance matrix between the past and the future of a high-dimensional complex Gaussian uncorrelated sequence is studied. Using Gaussian tools, it is established that the distribution behaves as a deterministic probability measure whose support 𝒮 is characterized. It is also established that the squared singular

The present paper deals with a connection between quantum quadratic operators (QQOs) and quasi QQOs on 𝕄2(ℂ). We show that QQOs and quasi QQOs on 𝕄2(ℂ) coincide in the class of Volterra type of operators. To establish this result, we first describe these two kind of operators on the commutative part of 𝕄2(ℂ). Furthermore, in the last section, we introduce a quantum analogue of Volterra operators

Rapid development is essential for IoT (Internet of Things) application developers to obtain first-mover advantages and reduce the development cost. In this article, we present TinyLink, a holistic system for rapid development of IoT applications. The key idea of TinyLink is to use a top-down approach for designing both the hardware and the software of IoT applications. Developers write the application

The absence of an inspection technique for the jadestone internal structure is a significant problem for identifying density and structure inside a stone. A terahertz (THz) parametric real-time imaging method is applied for precise measurement. Involution of THz imaging system not just for medical, food, security scanning, can also be used for testing a different kind of material, finding impurities

Graphene conductive ink based microstrip line fed circular patch is presented in this paper. The main objective of this work is to replace copper with graphene which is an emerging promising material, in the field of patch antennas with conventional rigid substrates using a simple printing technique and to measure its performance. The prototyped screen printed graphene antenna is perfectly radiating

Particle swarm optimization (PSO) is a dynamic nature-influenced optimization technique. PSO optimization technique can resolve the best solution in minimum iterations and operates more effectively and efficiently. But, the other optimization techniques like particle swarm optimization with passive congregation (PSOPC) technique and dissipative particle swarm optimization (DPSO) technique gives better

The integration of optical satellite links in the next-generation networks and in the fifth generation cellular systems has been proposed in order to guarantee the handling of the extreme data traffic growth and the high-pitched demand for networks’ resources. The optical satellite communication downlink is studied and more specifically, a geostationary satellite with multiple transmitters and an optical

ZUC-128 algorithm was listed as the core part in the third international encryption and integrity protection algorithms, EEA3 and EIA3 in 4G-LTE mobile communication system by 3rd generation partnership project (3GPP). ZUC-256 will soon become one of important encryption and integrity protection algorithms in 5G mobile communication system. Compared with software implementations, hardware implementations

Near field communication, development in radio frequency detection has put its foot in today’s life of individuals through sophisticated mobile phones. NFC technology has become very popular due to its transparent and simple integration with a number of applications such as health care, consumer electronics, public transport payment methods, etc. A few new approaches have been attempted to make NFC

This paper presents a novel method for determination of location and tuning of parameters of electronic static synchronous compensator (E-STATCOM) for oscillation control in Wide area monitored power systems. The effect of active and reactive power injection by E-STATCOM, on the damping performance of a two-area interconnected system has been studied and analyzed. Dynamic non-linear simulations of

In this article, a Schmitt trigger based 12-Transistors(ST12T) static random-access memory (SRAM) bit-cell has been proposed. The Read Power of proposed cell is reduced by 29.17%/ 24.14% /7.66% /5.87% /7.67% /16.62% when compared to 6T/ 7T/ TA8T/ 9T/ PPN10T/ D2p11T SRAM cells. Proposed ST12T cell also shows 1.52\(\times\) and 1.86\(\times\) lesser variability in read current and read power respectively

In the recent few years, a lot of advancement has been made in Urdu linguistics. There are many portals and news websites that are generating a huge amount of data every day. However, there is still no publicly available dataset nor any framework available for automatic Urdu extractive summary generation. In an automatic extractive summary generation, the sentences with the highest weights are given

Existing collaborative filtering algorithms suffer from the problem of data sparsity. Imputation-based methods are promising algorithms, which alleviate data sparsity without using side information, to solve this problem. However, existing imputation recommendation methods based on matrix factorization only separately factorize the rating matrix and the imputed data matrix, which limits the power of

Today’s sensor network implementations often comprise various types of nodes connected with different types of networks. These and various other aspects influence the delay of transmitting data and therefore of out-of-order data occurrences. This turns into a crucial problem in time-sensitive applications where data must be processed promptly and decisions must be reliable. In this article, we research

Abstract The transition of formal and informal scientific communications to the electronic environment, as is characteristic of the modern stage, is described. A list of the main channels of scientific communications is presented; their advantages and disadvantages are described. New competencies that information workers must possess to provide effective information services are outlined.

Abstract The multidimensional problem of identifying, assessing, and minimizing threats and risks of the development and application of new technologies within the framework of the Fourth Industrial Revolution, whose core element is information technology, are discussed. All technologies and types of modern technology have both positive and negative consequences for society and carry technological

Abstract The information needs of society in the era of digitalization are considered. It is shown that electronic information is one of the important sources for their satisfaction. The current state of the market of electronic books and electronic magazines in the Russian Federation is shown and the problems of their further development are identified.

Abstract The problems of using personal data that arise from the inaccuracy of terms, both in information activities and in information law, are discussed. The arguments that can allow the creation of a thesaurus of personal data and their information ontology are presented. The results of an analysis based on the category-tensor approach make it possible to intensify the discussion on this topic.

Abstract A contradiction is revealed between the rise in the number of information security incidents in companies through the fault of employees and the stable inefficiency of measures taken by employers to reduce these incidents. It is concluded that there is a lack of attention on the part of scientists to the current trends in corporate management (quality, personnel, knowledge, and risk management)

Abstract The results of a bibliometric analysis of studies on quantum information processing for 2000–2017 are presented. We used Science Citation Index Expanded (SCIE) as a data source. This article reveals countries with significant volumes of research, as well as the main participants in the “quantum race.” The structure of a coauthor network was studied in terms of the analysis of social networks

Abstract A program for researching methods and means of forecasting the state of fundamental science is presented. The difficulty of forecasting basic research is indicated and a formal approach to the search for a universal criterion for the demarcation (delimitation) of knowledge is substantiated. It is shown that the forecasting of the development of science is based on an information model of scientific

Abstract The citation frequency is taken into account when monitoring the research output of institutions; a citation index should be provided when filling in grant applications or participating in competitions for support and is critical for additional incentives. This paper presents the results of an analysis of publications in physico-chemical biology from one of the institutes in the Research Center

Abstract The idea of extending the Darwinian triad of bioevolution to non-living nature is discussed and its connection with the triad of the temporal dimension is revealed. The hypothesis of accelerated futurization of time in the course of inflation is argued, as a result of which both the arrow of time and the chronodigital code of the further development of the evolution of the universe are formed

Different from image inpainting, image outpainting has relatively less context in the image center to capture and more content at the image border to predict. Therefore, classical encoder-decoder pipeline of existing methods may not predict the outstretched unknown content perfectly. In this paper, a novel two-stage siamese adversarial model for image extrapolation, named Siamese Expansion Network

This letter deals with the problem of moving target localization in distributed multiple-input multiple-output (MIMO) radar systems using time delay (TD) and Doppler shift (DS) measurements. The proposed solution to this problem consists of two stages. In the first stage, an initial estimation of target location is obtained by solving the formulated maximum likelihood (ML) problem based on the TD measurements

Radial basis function-based state-dependent autoregressive (RBF-AR) models are a class of nonlinear combined models. This letter focuses on the parameter estimation for the RBF-AR models. To overcome the estimation difficulty due to the highly nonlinear relations between the parameters and the model output, the separated idea is used to transform the original optimization problem into a quadratic and

Image editing is one of the most popular directions in computer vision. Recently, many methods have benefited from the advances in deep learning, showing promising performance in the image editing task by inpainting the editing areas. These methods take advantage of edge information as user guidance to generate the desired content. However, they are suffering from generating color discrepancy and inconsistent

Enterprise thrives on software applications that are built to fulfil the core business requirements. A single business application can offer a cluster of capabilities to generate value from processing huge amount of data often termed as Big Data. The time-based requirements of these applications are satisfied frequently by applying monolithic approaches with increased complexity and less scalability

Nowadays, the massive proliferation of real-world multimedia devices has paved the way to the emergence of a new paradigm called the Internet of Multimedia Things wherein Low-power and Lossy Networks (LLNs) are the main components of this new technology. RPL is an IPv6 routing protocol for LLNs designed by IETF to meet the requirements of a wide range of LLN applications such as Wireless Multimedia

This paper presents a least squares channel estimation (LSCE) in the UpLink transmission for a Massive MIMO systems in 5G wireless communications, combined with Orthogonal Frequency Division Multiplexing and higher-order M-QAM modulation. The Mean Square Error (MSE) of the LSCE is computed, and the performance of ZF, MMSE and V-BLAST detectors is also evaluated. Using 128-QAM modulation (i.e., increasing

In recent years, there has been a substantial increase in the distribution of videos over the Internet, and this has become one of the major activities that attract extensive attention. This means that users expect to watch videos of the highest quality. Quality of experience (QoE) describes the degree of satisfaction or annoyance of a user when they are using a multimedia service or application. Meeting

One of the most relevant tasks in an intelligent vehicle navigation system is the detection of obstacles. It is important that a visual perception system for navigation purposes identifies obstacles, and it is also important that this system can extract essential information that may influence the vehicle’s behavior, whether it will be generating an alert for a human driver or guide an autonomous vehicle

Different from current coherent-detection-based long-haul transmission systems, inter- and intradatacenter transmissions require a simpler transmitter and receiver. A promising way to significantly meet the demands of datacenter transmission is polarization division multiplexing intensity modulation with direct detection (PDM-IM-DD) using a Stokes vector receiver (SVR). However, for different SVR architectures

The future wireless communications require different kinds of modulation functions to be integrated in a single intelligent device under different scenarios. Here, we propose a multi-scheme digital modulator to achieve this goal based on integrated spoof surface plasmon polaritons (SPP) in different frequency bands. By constructing switchable spoof SPP units, the propagating wave in the proposed spoof

To allow end users to combine different apps for accomplishing various goals, it is desired that they can create mashups of mobile apps in an on-demand fashion. The end user creation of mobile mashups, however, is complicated by the fact that many apps do not expose interfaces for mashup and the lack of user friendly interfaces for end user programming. In this paper, we propose MashReDroid, an end

Combination of directional modulation (DM) and frequency diverse array (FDA) provides a novel opportunity for enabling physical layer security because of the enhanced ability of distance resolution. However, in the existing studies, the time-varying nature of the FDA pattern is usually ignored. In this paper, a modified model of FDA-DM is proposed, in which the ignored time factor in the previous studies

Chinese named entity recognition (CNER) aims to identify entity names such as person names and organization names from Chinese raw text and thus can quickly extract the entity information that people are concerned about from large-scale texts. Recent studies attempt to improve performance by integrating lexicon words into char-based CNER models. These existing studies, however, usually focus on leveraging

An adaptive integrated navigation system, consisting of barometric altimeter (Baro) and GPS, is presented. The integration is achieved by using an adaptive data fusion algorithm with the filter gain correction. Proposed adaptive data fusion algorithm utilizes the measurement noise scale factor in order to reduce the effects of the incorrect barometric altimeter measurements on the estimation procedure

Modeling and vibration control of a bridge beam system are considered in this article. The beam bridge with both ends fixed can be regarded as an Euler‐Bernoulli beam, which is a typical distributed parameter system. First, the partial differential equations (PDE) model of the bridge was established according to the Hamilton principle. Then, a reasonable distributed control law was designed on the

The H∞ filtering problem for interconnected systems is addressed in this paper. In order to facilitate the stability analysis of interconnected systems under the conditions of failed interconnections, a strategy related to switched systems is introduced. Assume that the interconnections among these subsystems disconnect based on the mode‐dependent average dwell time (MDADT), a switching signal is implemented

In recent years, software defect prediction has been recognized as a cost-sensitive learning problem. To deal with the unequal misclassification losses resulted by different classification errors, some cost-sensitive dictionary learning methods have been proposed recently. Generally speaking, these methods usually define the misclassification costs to measure the unequal losses and then propose to

The bipartite synchronization problem for fractional order antagonistic coupled neural networks (FACNNs) is investigated in this paper. Using the properties of gamma function and special matrix, some criteria for bipartite Mittag–Leffler (M–L) synchronization and bipartite finite time synchronization of FACNNs have been obtained. To achieve bipartite finite time pinning synchronization, hybrid control

Periodic noise reduction is a fundamental problem in image processing, which severely affects the visual quality and subsequent application of the data. Most of the conventional approaches are only dedicated to either the frequency or spatial domain. In this research, we propose a dual-domain approach by converting the periodic noise reduction task into an image decomposition problem. We introduced

In this study, a low-dropout voltage regulator (LDO) system composed of two LDOs, which can operate in the temperature range of 77–400 K, has been developed. Cryogenic and typical transistor models of the 180 nm UMC CMOS process have been employed in the design process. Both LDOs can provide a load current of 100 mA while generating four different output voltage levels (0.9 V, 1.2 V, 1.5 V, 1.8 V)

In recent years, wireless technologies and application received great attention. The Medium Access Control (MAC) protocol is the main element that determines the efficiency in sharing the limited communication bandwidth of the wireless channel in wireless local area networks (WLANs). IEEE 802.11 introduced the optional RTS/CTS handshaking mechanism to address the hidden terminal problem as well as

Cognitive radio technology necessitates accurate and timely sensing of primary users' activity on the chosen set of channels. The simplest selection procedure is a simple random choice of channels to be sensed, but the impact of sensing errors with respect to primary user activity or inactivity differs considerably. In order to improve sensing accuracy and increase the likelihood of finding channels

In an Optimized Link State Routing (OLSR)-based mobile wireless network, optimizing the flooding of broadcast messages is a challenging task due to node's mobility and bandwidth resource consumption. To complement existing solutions to this problem, the Multi-Point Relays (MPR) selection has recently been advocated as a promising technique that has an additional feature of reducing the number of redundant

Vehicular Ad hoc Networks (VANETs) are a compelling application of ad hoc networks, because of the potential to access specific context information (e.g. traffic conditions, service updates, route planning) and deliver multimedia services (Voice over IP, in-car entertainment, instant messaging, etc.). This paper proposes an agent based information dissemination model for VANETs. A two-tier agent architecture

Location-based applications are one of the most anticipated new segments of the mobile industry. These new applications are enabled by GPS-equipped phones (e.g., emergency applications, buddy finders, games, location-based advertising, etc.). These services are designed to give consumers instant access to personalized, local content of their immediate location. Some applications couple LBS with notification

With the popularity of mobile services, an effective context-aware mobile service adaptation is becoming more and more important for operators. In this paper, we propose a Co-evolution eXtended Classifier System (CXCS) to perform context-aware mobile service adaptation. Our key idea is to learn user context, match adaptation rule, and provide the best suitable mobile services for users. Different from

Vehicle Ad-hoc Network (VANET) is a kind of Mobile Ad-hoc Network (MANET) that establishes wireless connection between cars. In VANETs and MANETs, the topology of the network changes very often, therefore implementation of efficient routing protocols is very important problem. In MANETs, the Random Waypoint (RW) model is used as a simulation model for generating node mobility pattern. On the other

In this paper, we propose a novel evolutionary Random Interval Fingerprint (RIF) for active RFID and ZigBee systems. This new approach can enable more secure multi-party communication since, if the wireless packets are forged by another wireless communication party, the interval fingerprint can provide another way to detect the spoofing packet. Moreover, the random evolutionary algorithms, both genetic

This paper describes an efficient method for introducing relay nodes in the given communication graph. Our algorithm assigns transmitting ranges to the nodes such that the cost of range assignment function is minimal over all connecting range assignments in the graph. The main contribution of this paper is the O(N log N) algorithm to add relay nodes to the wireless communication network and 2-approximation

By exchanging events in a vehicular ad hoc network (VANET), drivers can receive interesting information while driving. For example, they can be informed of available parking spaces in their vicinity. A suitable protocol is needed to disseminate the events efficiently within the area where they are relevant. Moreover, in such a competitive context where each vehicle may be interested in a resource,

As standard technologies to implement a service-oriented architecture, Web services support interoperability between heterogeneous platforms. In the ubiquitous era, for Web services to become a universal software development paradigm, they must be able to support a MANET environment with a variety of mobile devices. In this paper, we propose an efficient method that discovers services in MANET environments

In content-based communication, information flows towards interested hosts rather than towards specifically set destinations. This new style of communication perfectly fits the needs of applications dedicated to information sharing, news distribution, service advertisement and discovery, etc. In this paper we address the problem of supporting content-based communication in partially or intermittently

Mobile devices can now handle a great deal of information thanks to the convergence of diverse functionalities. Mobile environments have already shown great potential in terms of providing customized service to users because they can record meaningful and private information continually for long periods of time. The research for understanding, searching and summarizing the everyday-life of human has

Knowledge of positions of sensor nodes in Wireless Sensor Networks (WSNs) will make possible many applications such as asset monitoring, object tracking and routing. In WSNs, the errors may happen in the measurement of distances and angles between pairs of nodes in WSN and these errors will be propagated to different nodes, the estimation of positions of sensor nodes can be difficult and have huge

In recent years, as RFID reader equipment is ever more widely deployed in handled devices, the importance of security problems among RFID reader, tags and server have obviously gained increased attention. However, there are still many security issues preceding transactions; these issues are well worth discussing. In this paper, we propose a novel authentication scheme, conforming EPC C1G2 standards

Many have proposed to connect Mobile Ad Hoc Networks (MANETs) to a wired backbone Internet access network. This paper demonstrates that a wired backbone network can be utilized for more than just providing access to the global Internet. Traffic between mobile nodes in the ad hoc network may also be routed via this backbone network to achieve higher throughput, and to reduce the load in the ad hoc network