Multichannel Situation Research Articles

Improved multivariate multiscale sample entropy and its application in multi-channel data.

Entropy, as a nonlinear feature in information science, has drawn much attention for time series analysis. Entropy features have been used to measure the complexity behavior of time series. However, traditional entropy methods mainly focus on one-dimensional time series originating from single-channel transducers and are incapable of handling the multidimensional time series from multi-channel transducers. Previously, the multivariate multiscale sample entropy (MMSE) algorithm was introduced for multi-channel data analysis. Although MMSE generalizes multiscale sample entropy and provides a new method for multidimensional data analysis, it lacks necessary theoretical support and has shortcomings, such as missing cross-channel correlation information and having biased estimation results. This paper proposes an improved multivariate multiscale sample entropy (IMMSE) algorithm to overcome these shortcomings. This paper highlights the existing shortcomings in MMSE under the generalized algorithm. The rationality of IMMSE is theoretically proven using probability theory. Simulations and real-world data analysis have shown that IMMSE is capable of effectively extracting cross-channel correlation information and demonstrating robustness in practical applications. Moreover, it provides theoretical support for generalizing single-channel entropy methods to multi-channel situations.

RAVIP: Real-Time AI Vision Platform for Heterogeneous Multi-Channel Video Stream

Object detection techniques based on deep learning such as YOLO have high detection performance and precision in a single channel video stream. In order to expand to multiple channel object detection in real-time, however, high-performance hardware is required. In this paper, we propose a novel back-end server framework, a real-time AI vision platform (RAVIP), which can extend the object detection function from single channel to simultaneous multi-channels, which can work well even in low-end server hardware. RAVIP assembles appropriate component modules from the RODEM (real-time object detection module) Base to create perchannel instances for each channel, enabling efficient parallelization of object detection instances on limited hardware resources through continuous monitoring with respect to resource utilization. Through practical experiments, RAVIP shows that it is possible to optimize CPU, GPU, and memory utilization while performing object detection service in a multi-channel situation. In addition, it has been proven that RAVIP can provide object detection services with 25 FPS for all 16 channels at the same time.

Accurate scale estimation for visual tracking with significant deformation

Scale variation of a target frequently appears in tasks of visual tracking. Accurate scale estimation is challenging due to deformation, occlusion, rotation, change in the view angle and diversity of tracking object categories. Most tracking methods employ an exhaustive search of scales to estimate the target scales. However, only finite and discrete scales are usually searched due to the expensive computation requirement. Here, the authors propose a novel scale estimation method based on bounding box regression (BBR). They first formulate the scale tracking as a regression problem, and search for the entire continuous scale space without being limited by a manually specified number of scales. Then they extend the original single-channel BBR to multi-channel situations, to allow for better employment of multi-channel features. To further take advantage of the time prior information of training samples, they derive a time-related sample weighted multi-channel BBR. Besides, they propose a quantitative measurement, scale divergence degree, to reflect the diversity of sampling strategy. Experimental results on OTB-2015D dataset demonstrate that the proposed approach achieves outstanding scale estimation performance for visual tracking with significant deformation.

A Study on Customer Satisfaction toward Logistics Service Quality in Omni-Channel and Multi-Channel Situation

정보통신의 발달과 스마트폰 보급의 증가로 소비자들은 다양한 방식으로 구매가 가능해져 오프라인과 온라인의 경계가 없 어지는 옴니채널이 등장하게 되었다. 그러나 현재 옴니채널이 도입되고 있는 시점에서 소비자들이 원하는 방식의 서비스 품질이 명확히 무엇인지 확인하기 힘들며 옴니채널의 실질적인 차이인 물류서비스 부분에서의 선행연구는 아직 부족한 실 정이다. 본 연구의 목적은 옴니채널 상황에서 물류서비스품질요소가 고객만족에 미치는 영향을 파악하고 멀티채널과 옴니채널의 채널특성에 따라서 차이가 발생하는지 분석하는 것이다. 연구 결과로는 첫째, 옴니채널과 연관성이 있다고 판단되는 물류서비스품질 요소인 전문성, 신속성, 정확성, 안전성, 편의성은 고객만족에 유의한 영향을 미치는 것으로 나타났다. 둘째, 옴니채널과 멀티채널의 채널특성에 따른 물류서비스품질과 고객만족간의 관계 분석에서는 전문성, 신속성, 편의성이 옴니채널 상황에서 더 중요한 요소로 평가되었다.With the development of information technology and the widespread use of smart phones, consumers can purchase from various sources, and the arrival of the omni-channel has eliminated the distinction between offline and online. However, when the omni-channel is introduced, it is difficult to confirm the quality of service that consumers expect, and there is still insufficient research on logistics service; this is the difference between an omni-channel and a multi-channel. The purpose of this study is to identify the effect of logistics service quality factors on customer satisfaction in the omni-channel situation, and to analyze whether the differences occur based on the channel characteristics of multi-channel and omni-channel. The results of the study were as follows: First, the expertise, promptness, accuracy, safety, and convenience, which are the logistics service quality factors considered to be related to the omni-channel, had a significant effect on customer satisfaction. Second, in analyzing the relationship between logistics service quality and customer satisfaction, consistent with the channel characteristics of omni-channel and multi-channel, expertise, promptness, and convenience were evaluated as more important factors in an omni-channel situation.

Examining potential shortcomings in using phase shifts as a link between experiment and QCD

Luscher has shown that in single channel problem (elastic region below first inelastic threshold) there exists a direct link between the discrete value of the energy in a finite QCD volume and the scattering phase shift at the same energy. However, when the extension of the theorem is made to the baryon resonance sector (multi-channel situation in the inelastic region above first inelastic threshold), eigenphases (diagonal multi-channel quantities) replace phase shifts (single channel quantities). It is necessary to stress that the renowned pi/2 resonance criterion is formulated for eigenphases and not for phase shifts, so the resonance extracting procedure has to be applied with utmost care. The potential instability of extracting eigenphases from experimental data which occurs if insufficient number of channels is used can be reduced if a trace function which explicitly takes multi-channel aspect of the problem into account is used instead of single-channel phase shifts.

Features of level broadening in a ring-stub system

When a one dimensional (1D) ring-stub system is coupled to an electron reservoir, the states acquire a width (or broadening characterized by poles in the complex energy plane) due to finite life time effects. We show that this broadening is limited by anti-resonances due to the stub. The differences in level broadening in presence and absence of anti-resonance is exemplified by comparison to a 1D ring coupled to an infinite reservoir. We also show that the anti-resonances due to the stub has an anchoring effect on the poles when a magnetic flux through the ring is varied. This will have implication on change in distribution of the poles in disordered multichannel situation as magnetic flux is varied.

Coherent resonant transmission in temporally periodically driven potential wells: the Fano mirror

The electron transmission over an oscillating quantum well is studied perturbatively and numerically in the phase-coherent regime. The dynamically induced multichannel situation gives rise to a pronounced asymmetric resonance and antiresonance structure. The Fano line obtained is attributed to the interaction of the raised virtual discrete energy level with the continuum. Interestingly, the unitarity condition imposes the restriction that the transmission coefficients vanish altogether at the zero energies, leading to the concept of an electronic mirror.

Profile: Program type preference and program choice in a multichannel situation

By constructing program type categories that can tap into the program type distinction in viewers’ minds and by developing a more elaborate measure of program choice options, this study investigated how the increase in program choice options affects the role of program type preference in program choice. The result indicated that viewers’ program choice coincided with program type preferences significantly more in a multichannel situation than in a broadcast‐channel‐only situation.

Quantum Tunneling in Time-Dependent Potential Barrier: a General Formulation and Some Exactly Solvable Models

Quantum tunneling in one spatial dimension in the presence of time-dependent potentials is investigated theoretically. First, a general multichannel formulation of the problem is given for harmonic time-dependence. The case of an oscillatory delta-function potential of constant strength is discussed at length and specific numerical calculations are presented for the reflection and transmission coefficients. Then other exactly solvable time-dependent potentials are obtained by carrying out successive unitary transformations. As an example of this class, a delta-function potential with time-dependent strength and boundary conditions is studied. Finally tunneling time-delay for time-dependent potentials is formulated in the multichannel situation, and also the concept of first passage time for the decay of a wave packet confined to one well of a double well potential is generalized for the case of time-dependent barrier and boundary conditions.

Multichannel resonance quantization with an optical potential

The introduction of an appropriately chosen imaginary potential in the physical asymptotic region may transform a resonance wave function into an integrable function. We examine the conditions under which this procedure and the method of exterior complex scaling become equivalent. The procedure is tested in multichannel situations describing rotational predissociation of a van der Waals complex and Stark ionization of the hydrogen atom.

Multichannel quantization for molecular systems. II. Resonance studies

A method applicable to the determination of resonances in a multichannel situation is presented. Siegert type boundary conditions are imposed in the asymptotic region. The matching procedure based on the Fox—Goodwin propagator which was used in part I≢ for bound state energy determination now converges with such boundary conditions and an appropriate choice of the initial energy onto the complex energy of a resonance. Illustrative calculations are presented for the case of the photodissociation of a linear triatomic molecule, with either non-interacting or interacting open channels. A well documented case of rotational predissociation in van der Waals molecules is also considered.

Multichannel quantization for molecular systems. I. Bound states studies

The usefulness of the Fox—Goodwin propagator for the search of the bound levels in a multichannel situation is demonstrated. Applications to perturbations in diatomic molecules and to a two-mode non-separable problem show that the results are comparable in accuracy with those obtained in a one-channel situation.

Voiced-unvoiced discrimination for efficient compression in multichannel telephony

This paper focuses on the efficient transmission of digital telephone-quality speech in a multichannel situation. It is shown that in addition to speech interpolation, substantial savings can be achieved through the use of redundancy-reducing transcoding schemes, one for voiced and one for unvoiced sounds. Specific waveform properties and coding schemes for both types of sounds, as well as the means for the discrimination, are discussed. The performance of two experimental systems which, respectively, triple and quadruple digital carrier capacity are presented.

Sensitivity of queueing models to the assumption of exponentiality

AbstractThis study deals with determining the effects on queuing models of assuming that interarrival and service times are exponentially distributed. Steady‐state expected value measures of congestion are compared for a variety of GI/G models when assuming an M/M model as an approximation. The majority of this effort involves single‐channel queues; however, some multichannel situations are also considered. In addition, effects of the exponential approximation are observed in certain cost‐optimization models.