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It has been reported that chronic heroin intake induces changes in central nervous system of human brain; however, few studies investigate the carry-over adverse effects on brain after heroin withdrawal. In this work we examined the alpha rhythms of resting-state Electroencephalogram (EEG) signals to measure the neuroelectrical differences between the heroin addicts after heroin withdrawal and normal...
Rate control plays a key role in video coding, which has a significant effect on encoder performance. With parallel video coding frameworks more and more popular, rate control suitable for parallel coding is highly desired. However, most rate control algorithms only focus on the rate distortion performance but ignoring the data correlation in parallel coding. In this paper, based on the parallel framework...
We consider a class of structured covariance completion problems which aim to complete partially known sample statistics in a way that is consistent with the underlying linear dynamics. The statistics of stochastic inputs are unknown and sought to explain the given correlations. Such inverse problems admit many solutions for the forcing correlations, but can be interpreted as an optimal low-rank approximation...
The number and frequency of project activities increase in daily working life. Consequently, the significance of project success gains in importance which requires high accuracy of the project results regarding time / progress, budget and resources. A foundation of project success is built by project planning - especially by project resource planning. Objective resource planning is based on project's...
The increasing importance of services in high-wage countries calls for a detailed examination of service productivity and complexity in current research projects. This paper describes the development of a measurement model with regard to service productivity and complexity of emergency medical services. While the measurement model of service productivity is partly literature-based, a novel construct...
Currently the research of multi-user MIMO system mainly focuses on the analysis of channel capacity. Low complexity is also attractive to the implementation of a receiver, and thus interference cancellation decoding is often adopted in practice. Partial Interference Cancellation (PIC) group decoding is one effective decoding algorithm for point-to-point MIMO systems which addressing the complexity...
In an uplink massive multiple-input-multiple-output (MIMO) deployment with distributed single-antenna users and a large base-station array, we investigate the performance of low complexity Vertical Bell Laboratories Layered Space Time (C-V-BLAST) and zero forcing (ZF) receivers. Unlike previous work which assumes that the channel is perfectly known, we focus on the realistic scenario where the MIMO...
In this paper, the authors have proposed a new approach for generating multi-value sequence by utilizing primitive element, trace function, and k-th power residue symbol over odd characteristic field. Let p be an odd prime and Fp be an odd characteristic prime field, m be the degree of the primitive polynomial f(x), and k be a prime factor of p-1. In details, the procedure for generating multi-value...
Internet traffic identification is an essential preliminary step for stable service provision and efficient network management. The payload signature-based-classification is considered as a reliable method for Internet traffic identification. But its performance is highly dependent on the number and the structure of signatures. If the numbers and structural complexity of signatures are not proper,...
Adaptive beamforming outperforms its non-adaptive counterpart in that it is capable of achieving a narrower main lobe and suppressing interference. It, however, calls for intensive computations to obtain the weighting factors. In this paper, we present an MVDR (minimum variance directionless response) based adaptive beamformer design for ultrasound imaging and implement the design in an FPGA platform...
The study was intended to analyze the effect of three types of music, namely Indian classical music, Bhajan (spiritual anthem) music and rock music, on the electroencephalogram (EEG) activity for two different age groups, viz. young subjects (23–27 years) and elder subjects (40–55 years). We recorded EEG in 10 healthy elder subjects and 10 healthy young subjects at eyes closed condition during without...
High efficiency video coding (HEVC) is the latest international video compression standard that achieves double compression efficiency than the previous standard H.264/AVC. To increase the compression accuracy, HEVC employs the coding unit (CU) ranging from 8 × 8 to 64 × 64. However, the encoding complexity of HEVC increase a lot since the manifold partition sizes. A lot of works are focused on reducing...
Mutation testing is a well-known method for measuring a test suite's quality. However, due to its computational expense and intrinsic difficulties (e.g., detecting equivalent mutants and potentially checking a mutant's status for each test), mutation testing is often challenging to practically use. To control the computational cost of mutation testing, many reduction strategies have been proposed...
Inspired by recent progress in parallel and distributed optimization, we propose parallel least-squares policy iteration (parallel LSPI) in this paper. LSPI is a policy iteration method to find an optimal policy for MDPs. As solving MDPs with large state space is challenging and time demanding, we propose a parallel variant of LSPI which is capable of leveraging multiple computational resources. Preliminary...
Compressed Sensing(CS) based video coding techniques are low-complexity in general, but with marginal compression results. Also, wireless multimedia devices have serious resource constraints, with fluctuations in bandwidth(for up-link traffic) and available power. In this paper we propose a nested technique in which CS data is further compressed within the CS domain to give far better compression...
As traditional spectrum sensing approaches unable to deal with the contradiction between detection accuracy and complexity in cognitive radio network, a novel q-weighed sequential cooperative energy detection method for spectrum sensing in time varying channel is proposed in this paper to achieve better performance with lower complexity. By adding the q- weighted log likelihood ratio (LLR) of the...
The 3rd Generation Partnership Project (3GPP) has started to investigate feasibility of machine type communication terminal class in Long Term Evolution (LTE) networks in the Release 12 to address the requirements of the Internet of Tings (IoT) targeting low-end device market with improved coverage. Along with that, the 3GPP has defined reference signals to support device discovery, communication...
The classification of time series data is a challenge common to all data-driven fields. However, there is no agreement about which are the most efficient techniques to group unlabeled time-ordered data. This is because a successful classification of time series patterns depends on the goal and the domain of interest, i.e. it is application-dependent. In this article, we study free-to-play game data...
The majority of computational work on emotion in music concentrates on developing machine learning methodologies to build new, more accurate prediction systems, and usually relies on generic acoustic features. Relatively less effort has been put to the development and analysis of features that are particularly suited for the task. The contribution of this paper is twofold. First, the paper proposes...
Covariance sketching has been recently introduced as an effective strategy to reduce the data dimensionality without sacrificing the ability to reconstruct second-order statistics of the data. In this paper, we propose a novel covariance sketching scheme with reduced complexity for spatial-temporal data, whose covariance matrices satisfy the Kronecker product expansion model recently introduced by...
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