Evolving Optimal Response Time and Synchronized Communication on Integrating Fuzzy Logic Using Infrared Sensor and Sound Detecting Sensor in WSN

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.

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

Emergency Medicine International ◽

10.1155/2021/5564885 ◽

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.

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Enhanced active VM load balancing algorithm using fuzzy logic and K-means clustering

Multiagent and Grid Systems ◽

10.3233/mgs-210343 ◽

2021 ◽

Vol 17 (1) ◽

pp. 59-82

Author(s):

Mostefa Hamdani ◽

Youcef Aklouf

Keyword(s):

Cloud Computing ◽

Fuzzy Logic ◽

Load Balancing ◽

Response Time ◽

Data Center ◽

Service Rate ◽

Dynamic Allocation ◽

Use Of Resources ◽

Cloud Computing System ◽

Load Balancing Algorithm

With the rapid development of data and IT technology, cloud computing is gaining more and more attention, and many users are attracted to this paradigm because of the reduction in cost and the dynamic allocation of resources. Load balancing is one of the main challenges in cloud computing system. It redistributes workloads across computing nodes within cloud to minimize computation time, and to improve the use of resources. This paper proposes an enhanced ‘Active VM load balancing algorithm’ based on fuzzy logic and k-means clustering to reduce the data center transfer cost, the total virtual machine cost, the data center processing time and the response time. The proposed method is realized using Java and CloudAnalyst Simulator. Besides, we have compared the proposed algorithm with other task scheduling approaches such as Round Robin algorithm, Throttled algorithm, Equally Spread Current Execution Load algorithm, Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). As a result, the proposed algorithm performs better in terms of service rate and response time.

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Proposed Fuzzy Logic Controller for Buck DC-DC Converter

International Journal of Fuzzy Systems and Advanced Applications ◽

10.46300/91017.2020.7.5 ◽

2021 ◽

Vol 7 ◽

pp. 24-28

Author(s):

M. Bensaada ◽

S.Della Krachai ◽

F. Metehri

Keyword(s):

Fuzzy Logic ◽

Response Time ◽

Fuzzy Logic Controller ◽

Sliding Mode ◽

Sliding Mode Controller ◽

Mode Method ◽

Simulation Results

This paper provides the design for buck DC-DC converter system using fuzzy logic as well as sliding mode method. Design of fuzzy logic controller will be based on improvement of imperfection of the sliding mode controller, in particular the robustness and response time of the system. The simulation results of both systems using fuzzy logic and sliding mode are shown as well as compared to signify better of the two.

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

ACM SIGMETRICS Performance Evaluation Review ◽

10.1145/3410048.3410069 ◽

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

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Query Optimization Using Fuzzy Logic in Integrated Database

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v4.i3.pp637-642 ◽

2016 ◽

Vol 4 (3) ◽

pp. 637

Author(s):

Susana Susana ◽

Suharjito Suharjito

Keyword(s):

Fuzzy Logic ◽

Response Time ◽

Query Optimization ◽

Membership Functions ◽

Inference System ◽

Query Response Time ◽

Data Processing Method ◽

Significant Difference ◽

Inference Systems ◽

Logic Inference

<p>Query optimization in integrated database can’t be separated from data processing method. In order to have faster query response time, a method to optimize queries is required. One of many methods that can be used for query optimization is using fuzzy logic with Tsukamoto inference system. Value set on each variable is defined membership functions and Tsukamoto inference system used in determining these rules or the terms of query results, then apply it into query method or query line structure. The application of fuzzy logic inference systems with Tsukamoto can accelerate query response time, and will have more significant difference when the amount of selected data is greater.</p>

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Extended Adaptive Join Operator with Bind-Bloom Join for Federated SPARQL Queries

International Journal of Data Warehousing and Mining ◽

10.4018/ijdwm.2017070103 ◽

2017 ◽

Vol 13 (3) ◽

pp. 47-72

Author(s):

Damla Oguz ◽

Shaoyi Yin ◽

Belgin Ergenç ◽

Abdelkader Hameurlain ◽

Oguz Dikenelli

Keyword(s):

Response Time ◽

Query Optimization ◽

Linked Data ◽

Completion Time ◽

Optimal Response ◽

Time Performance ◽

Communication Time ◽

Extended Operator ◽

Adaptation Ability ◽

Hash Join

The goal of query optimization in query federation over linked data is to minimize the response time and the completion time. Communication time has the highest impact on them both. Static query optimization can end up with inefficient execution plans due to unpredictable data arrival rates and missing statistics. This study is an extension of adaptive join operator which always begins with symmetric hash join to minimize the response time, and can change the join method to bind join to minimize the completion time. The authors extend adaptive join operator with bind-bloom join to further reduce the communication time and, consequently, to minimize the completion time. They compare the new operator with symmetric hash join, bind join, bind-bloom join, and adaptive join operator with respect to the response time and the completion time. Performance evaluation shows that the extended operator provides optimal response time and further reduces the completion time. Moreover, it has the adaptation ability to different data arrival rates.

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