AN OPTIMAL SYSTOLIC DICTIONARY

1995 ◽  
Vol 05 (03) ◽  
pp. 451-460
Author(s):  
I. W. CHAN ◽  
F. CHOI
Keyword(s):  
Response Time ◽  
System Throughput ◽  
Optimal Response ◽  
Vlsi Technology ◽  
Systolic Algorithm ◽  
Average Latency ◽  
High System

We present a simple systolic algorithm for implementing dictionary machine based on the VLSI technology. Our design makes use of a dynamic. global tree rebalancing scheme to attain high system throughput. Our scheme is simple to implement and requires low sophistication in the design of processing nodes. Results from analysis and simulation show that our algorithm has optimal response time and achieves an average latency close to 1. This represents a significant improvement over many of the previous designs. Unlike most parallel dictionary machines reported in the literature, our approach requires no compression operations.

scholarly journals Throughput Analysis for Non-Orthogonal Multiple Access (NOMA)-Based 5G Networks

2019 ◽  
Vol 8 (3S) ◽  
pp. 101-108
Keyword(s):  
Power Allocation ◽  
Interference Cancellation ◽  
Multiple Access ◽  
System Throughput ◽  
Superposition Coding ◽  
5G Networks ◽  
Throughput Analysis ◽  
Radio Access ◽  
5G Network ◽  
High System

Non-Orthogonal Multiple Access (NOMA) scheme is one of the emerging radio access techniques to enhance the system performance for 5G networks. The powerdomain NOMA is one of the basic NOMA schemes that perform superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Power Allocation (PA) plays a significant role in attaining successful SIC and high system throughput. This work is focusing on power allocation to maximize the throughput for NOMA-based 5G network. The objective functions, algorithms, constraints and limitations of the system design in power allocation techniques for NOMA-based 5G networks in terms of throughput analysis are extensively investigated and reported.

scholarly journals Ecopath modelling approach for the impact assessment of a small-scale coastal aquaculture system in Goa, India

2020 ◽  
Vol 67 (3) ◽  
Author(s):  
N. Manju Lekshmi ◽  
G. B. Sreekanth ◽  
Narendra Pratap Singh ◽  
A. Vennila ◽  
R. Ratheesh Kumar ◽  
...  
Keyword(s):  
Functional Groups ◽  
Trophic Level ◽  
Ecological Impacts ◽  
System Throughput ◽  
Small Scale ◽  
Total System ◽  
Ecosystem Structure ◽  
Aquaculture System ◽  
High System ◽  
Cage Aquaculture

In this study, the ecological impacts of introduction of cage aquaculture employing small cages integrating shellfish and finfish in coastal water bodies of Goa, situated in the west coast of India were analysed using Ecopath with Ecosim model. A multispecies cage aquaculture system incorporating Lutjanus argentimaculatus, Etroplus suratensis and Perna viridis was established in an estuarine ecosystem. The Ecopath model identified 12 functional groups starting from detritus (trophic level=1) to large benthic carnivores (trophic level=3.72). The ecosystem statistics such as total system throughput (8672 g m-2 year-1), gross efficiency (0.001), primary production/respiration (1.4), net system production (1028.2 g m-2 year-1) and system omnivory index (0.26) indicated that the ecosystem was highly productive and in a developing stage. With a medium rate of recycling (Finn’s Cycling Index=11.7%), high system throughput, high system overhead (79%) and moderate omnivory index (0.26), the food web was found to be immature having an organized trophic network with high production. Simulations of the various expanding scenarios for the cage culture within the ecosystem were explored using Ecosim. A scenario in which two cages each for pearlspot and red snapper and 20 mussel ropes was identified as a sustainable solution without sacrificing the threshold biomass for the functional groups of fish species [WU1] . The study provided useful insights and methodology towards assessing aquaculture in coastal ecosystems in terms of ecosystem structure and function.

scholarly journals ADAS: Adaptive Switching between Full-Duplex and MU-MIMO for Wi-Fi Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Kyu-haeng Lee
Keyword(s):  
Mac Protocol ◽  
A Priori ◽  
Dynamic Network ◽  
Access Point ◽  
Full Duplex ◽  
System Throughput ◽  
Communication Performance ◽  
Transmission Strategy ◽  
High System ◽  
The Given

Full-duplex (FD) and multiuser multi-input multioutput (MU-MIMO) approaches have been attracting much attention as core technologies of next-generation Wi-Fi systems, since they have vast potential to improve communication performance. In particular, the system throughput can be significantly increased if both technologies are used in harmony, based on a solid understanding of the characteristics of each technology. To realise this, it is essential and important for a node using both technologies to acquire a priori channel and queue information about the receiving nodes. Unfortunately, it is very challenging to obtain this information in Wi-Fi networks in which there are no separate channels or proper protocols. In this paper, a new MAC protocol for Wi-Fi networks is proposed, called ADAS, which selects the transmission strategy that best matches the given network environment. By fully utilising the conventional CSI acquisition protocol, an ADAS access point (AP) effectively obtains the necessary information and exploits it appropriately, in order to yield higher throughput gains. Through extensive Matlab simulations, the author proves that ADAS maintains high system throughputs for dynamic network changes.

scholarly journals Response Time Threshold for Predicting Outcomes of Patients with Out-of-Hospital Cardiac Arrest

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Ling Hsuan Huang ◽  
Yu-Ni Ho ◽  
Ming-Ta Tsai ◽  
Wei-Ting Wu ◽  
Fu-Jen Cheng
Keyword(s):  
Cardiac Arrest ◽  
Response Time ◽  
Hospital Discharge ◽  
Youden Index ◽  
Roc Curve Analysis ◽  
Optimal Response ◽  
Time Threshold ◽  
Bystander Cpr ◽  
The Impact ◽  
Hospital Cardiac Arrest

Ambulance response time is a prognostic factor for out-of-hospital cardiac arrest (OHCA), but the impact of ambulance response time under different situations remains unclear. We evaluated the threshold of ambulance response time for predicting survival to hospital discharge for patients with OHCA. A retrospective observational analysis was conducted using the emergency medical service (EMS) database (January 2015 to December 2019). Prehospital factors, underlying diseases, and OHCA outcomes were assessed. Receiver operating characteristic (ROC) curve analysis with Youden Index was performed to calculate optimal cut-off values for ambulance response time that predicted survival to hospital discharge. In all, 6742 cases of adult OHCA were analyzed. After adjustment for confounding factors, age (odds ratio [OR] = 0.983, 95% confidence interval [CI]: 0.975–0.992, p < 0.001 ), witness (OR = 3.022, 95% CI: 2.014–4.534, p < 0.001 ), public location (OR = 2.797, 95% CI: 2.062–3.793, p < 0.001 ), bystander cardiopulmonary resuscitation (CPR, OR = 1.363, 95% CI: 1.009–1.841, p = 0.044 ), EMT-paramedic response (EMT-P, OR = 1.713, 95% CI: 1.282–2.290, p < 0.001 ), and prehospital defibrillation using an automated external defibrillator ([AED] OR = 3.984, 95% CI: 2.920–5.435, p < 0.001 ) were statistically and significantly associated with survival to hospital discharge. The cut-off value was 6.2 min. If the location of OHCA was a public place or bystander CPR was provided, the threshold was prolonged to 7.2 min and 6.3 min, respectively. In the absence of a witness, EMT-P, or AED, the threshold was reduced to 4.2, 5, and 5 min, respectively. The adjusted OR of EMS response time for survival to hospital discharge was 1.217 (per minute shorter, CI: 1.140–1299, p < 0.001 ) and 1.992 (<6.2 min, 95% CI: 1.496–2.653, p < 0.001 ). The optimal response time threshold for survival to hospital discharge was 6.2 min. In the case of OHCA in public areas or with bystander CPR, the threshold was prolonged, and without witness, the optimal response time threshold was shortened.

scholarly journals Design and Implementation of Football Player Training Management System Based on Intelligent Image

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
Yang Sun ◽  
Changjun Hu
Keyword(s):  
Response Time ◽  
Management System ◽  
Functional Module ◽  
Football Player ◽  
Training System ◽  
Pass Rate ◽  
System Throughput ◽  
Design And Implementation ◽  
Detection Technology ◽  
Track Athletes

This article is aimed at studying the design and implementation of a football player training management system based on smart images. Based on the analysis of the importance of informatization for scientific football training, system performance requirements and intelligent image detection technology, the football player training management is designed. The overall architecture of the system, and the detailed design of each functional module of the system. It mainly includes football player information management module, football player training plan viewing module, training goal formulation module and training information feedback module. The realization of the training management system relies on intelligent image technology to detect and track athletes. Finally, the performance of the system was tested. The test results show that the expected response time of each module of the system when different numbers of users are accessed is within 3 seconds. The longest actual time is 2.64 s, and the actual shortest time is 1.18 s. It can be seen that the response time of the system meets the demand. At the same time, the system throughput rate meets the requirements of this article, and the user pass rate is also above 95%, indicating that the performance of the football player training management system designed in this article is better.

scholarly journals Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes

2020 ◽  
Vol 48 (1) ◽  
pp. 35-36
Author(s):  
Ziv Scully ◽  
Lucas van Kreveld ◽  
Onno Boxma ◽  
Jan-Pieter Dorsman ◽  
Adam Wierman
Keyword(s):  
Response Time ◽  
Optimal Response ◽  
Heavy Tailed

scholarly journals An Efficient Low-Resolution NIR Classification Scheme for M, L, and T dwarfs and Its Application to Young BDs

2003 ◽  
Vol 211 ◽  
pp. 359-360
Author(s):  
L. Testi ◽  
A. Natta ◽  
C. Baffa ◽  
G. Comoretto ◽  
S. Gennari ◽  
...  
Keyword(s):  
Near Infrared ◽  
Classification Scheme ◽  
Optical Element ◽  
System Throughput ◽  
Single Shot ◽  
Low Resolution ◽  
Near Infrared Spectra ◽  
Infrared Spectral ◽  
High System ◽  
Large Telescopes

We present the preliminary results of a programme aimed at defining a low-resolution near-infrared spectral classification scheme for faint M, L, and T-dwarfs. The method is based on the global shape of R˜100 complete near-infrared spectra from 0.8 to 2.4μm as obtained through a high-throughput prism-based optical element, the Amici device, mounted inside the NICS instrument at the TNG 3.5m telescope (Baffa et al. 2001; Oliva 2000). The aim of our project is to provide an efficient classification scheme based on very low-resolution near infrared spectroscopy, which can be carried on at a 4m-class telescope. The results for the L-type dwarfs have already been presented in Testi et al. (2001), sample spectra for the M and T-dwarfs range are shown in Figure 1. A preliminary application of the method to the classification of young embedded brown-dwarf candidates has been successfully attempted by Testi et al. (2002) and Natta et al. (2002). The method is shown to be accurate and competitive: the high system throughput coupled with the possibility of obtaining in a “single shot” the complete spectrum of the objects make the NICS/TNG system more efficient than existing large telescopes.

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