Priority Table Research Articles

A reliability analysis method for electromagnet performance degradation based on FMEA and fuzzy inference system

AbstractElectromagnets are often used in indirect control for industrial applications. The ability of an electromagnet to control objects should decrease with performance degradation. And electromagnets product poses a danger to people and objects in the working environment. So, it is very difficult to analyze the reliability of electromagnetic performance degradation because of the complicated working condition. Failure Mode and Effect Analysis (FMEA) is the most commonly used tool for product reliability analysis. The new version of FMEA uses integer as evaluation value, which cannot represent the hesitation psychology of the evaluator. The Action Priority (AP) table of the FMEA describes the relationship between the evaluation of influencing factors and the risk level of the failure mode, which provides rules for determining the risk level of the failure mode. However, the AP table may result in multiple failure modes having the same ranking, which does not align with the intention of FMEA to prevent failures. Therefore, this paper proposes a reliability analysis method for electromagnetic performance degradation based on FMEA and FIS. Firstly, the Double Hierarchy Hesitant Fuzzy Linguistic Term Set (DHHFLTS) is used as the evaluation language to describe the hesitation psychology of evaluators. Secondly, the AP table of FMEA is used as FIS fuzzy inference rule. In this way, the idea of FMEA to determine the risk level of failure mode is retained and the problem of FIS fuzzy rule making is overcome. Then, FIS defuzzification AP table inference results to determine the risk ranking of failure modes. This avoids situations where the order of failure modes is equal. Finally, a performance degradation model of the electromagnet is constructed based on the Wiener process, and the calculation results of the new method are verified.

Amelioration in cross-matching policy with subtypes of A for priority-based demand

Blood transfusion is a medical procedure that requires prolonged intervention. In clinical treatment, red blood cells (RBCs) play a vital role and most demanded product in blood transfusion. The ABO/RhD system was considered in several research projects in the absence of subtypes of blood inventory management (BIM). In the issuing process, without considering the age of the blood, it becomes a risk factor for the recipient after transfusion. To overcome this problem and provide effective treatment, BIM should enhance its stock of specific subtypes and classify the blood's age (shelf-life). In past, no studies on issuing policies have examined A_1 A_2 BO substitution in inventory management with a new A_1 A_2 BO compatible and A_2 O priority table. For this reason, in this paper blood units of different ages are examined from two perspectives: (1) the current age of each unit and its substitution possibilities, and (2) providing effective medical services. Furthermore, the proposed system can determine the optimal order up to level quantities. Medical procedures and inventory management can both be managed effectively with this model. Hence, the goal of this research proposal is to minimize wastage and shortages along with service level substitution with age-dependent demand. By providing a numerical example, the model can validate the fact that compatibility substitution reduces wastage and blood shortages. Using a cross-matching policy, the enhanced model significantly improves the objective of this model compared to ABO substitution.

AI Powered IoT based Home Energy Management System towards DG Integration

This paper attempts to present an Internet of Things (IoT) based Home Energy Management System (HEMS) to accommodate Artificial Intelligence (AI) based Distributed Generation (DG) Integration in Smart Micro Grid environment. This work presents the feasibility of load and weather Big Data acquisition, online load forecasting /prediction, online load priority assignment, online peak clipping estimation on the cloud (Thingspeak). Load priority and peak clipping Demand Side Management (DSM) Techniques are used to run Load Management Algorithm (LMA) on the cloud which ultimately executes AI-based DG Integration at the load center. Based on the real time load and weather Big Data Load Priority Table (LPT) is generated on the cloud in order to assign the priority to the loads of the load center and online forecasting is also carried out on the cloud to estimate Total Power PT using Artificial Neural Network (ANN) and five different ML algorithms which are later utilized to estimate Threshold /Peak Clipping Power PTh. Using these LPT and PTh values LMA executes AI-based DG Integration. To that end, a novel IoT-based HEMS is designed and fabricated to run cloud-based LMA in order to accommodate proposed DG Integration. Amongst all the prediction algorithms trained on the cloud to estimate PTh, Linear Regression (LR) ML algorithm is witnessed to have lowest RMSE of 4.44e−13, MSE of 1.97e−25 and MAE of 2.11e−13. MATLAB 2018b licensed version is used to run ANN and ML algorithms based forecasting/prediction on the cloud.

Keeping Up With the Medical Literature: Why, How, and When?

Keeping Up With the Medical Literature: Why, How, and When?

Selective-path clustered-based routing protocol for large scale wireless sensor networks

Wireless sensor networks (WSNs) consist of large number of small low-powered electronic sensor devices. Therefore, reliable power saving schemes must be developed in order to manage the energy dissipated and extend the network life and functionality for a meaningful time. Arranging sensor nodes (SNs) into clusters has been viewed as an efficient approach of balancing the energy dissipated in WSNs. Regardless, a clustered WSN needs a robust energy efficient (EE) and energy balanced (EB) routing communication protocol. This paper proposes a selective-path priority table (SPT) EE and EB routing protocol (RP) ideal for most conventional clustering algorithms. The SPT RP forms the priority table by prioritising the k nearest multi-hop paths to the cluster heads (CHs) and/or base station (BS) based on some robust rules. These rules are compiled using a combination of some routing metrics which include the residual energy (RE) and transmission range/power. Firstly, the simulation results indicate that the SPT RP can be combined with most of the conventional clustering algorithm irrespective of the number of deployed SNs. Secondly, the performance of the SPT RP improves as the value of the selected number of routing paths (k) increase. More so, the simulation results show that the SPT RP reduces the energy dissipated and can prolong the network life and throughput as compared to related routing schemes.

Selective-path clustered based routing protocol for large scale wireless sensor networks

Wireless sensor networks (WSNs) consist of large number of small low-powered electronic sensor devices. Therefore, reliable power saving schemes must be developed in order to manage the energy dissipated and extend the network life and functionality for a meaningful time. Arranging sensor nodes (SNs) into clusters has been viewed as an efficient approach of balancing the energy dissipated in WSNs. Regardless, a clustered WSN needs a robust energy efficient (EE) and energy balanced (EB) routing communication protocol. This paper proposes a selective-path priority table (SPT) EE and EB routing protocol (RP) ideal for most conventional clustering algorithms. The SPT RP forms the priority table by prioritising the k nearest multi-hop paths to the cluster heads (CHs) and/or base station (BS) based on some robust rules. These rules are compiled using a combination of some routing metrics which include the residual energy (RE) and transmission range/power. Firstly, the simulation results indicate that the SPT RP can be combined with most of the conventional clustering algorithm irrespective of the number of deployed SNs. Secondly, the performance of the SPT RP improves as the value of the selected number of routing paths (k) increase. More so, the simulation results show that the SPT RP reduces the energy dissipated and can prolong the network life and throughput as compared to related routing schemes.

An algorithm for fuzzy soft set based decision making approach

The notion of soft set theory was initiated as a general mathematical tool for handling ambiguities. Decision making is viewed as a cognitive-based human activity for selecting the best alternative. In the present time, decision making techniques based on fuzzy soft sets have gained enormous attentions. On this development, this paper proposes a new algorithm for decision making in fuzzy soft set environment by hybridizing some existing techniques. The first novelty is the idea of absolute scores. The second concerns the concept of priority table in group decision making problems. The advantages of our approach herein are stronger power of objects discrimination and a well-determined inference.

Task scheduling algorithm based on value optimisation for anti‐missile phased array radar

A task scheduling algorithm based on value optimisation is proposed under comprehensive priority for anti-missile phased array radar. The model of threat degree is established for ballistic missile targets. The task comprehensive priority is obtained utilising a two-dimensional priority table which synthesises the target threat degree and the task deadline. Then, based on the comprehensive priority, each task gets a dynamic value function, instead of a fixed value as usual. In this way, the task value is enlarged when it is executed close to the desired execution time. A value optimisation model for task scheduling is constructed, and the genetic algorithm is utilised to solve this scheduling model. Thereby tasks can be executed as close as possible to the desired time, and the principle of scheduling timeliness can be better achieved. The performance of the proposed algorithm (PA) is compared with traditional scheduling algorithms by simulation experiments, as well as the impact that parameters of task value function have on scheduling performance is analysed. Simulation results show that compared to the traditional algorithms, the PA reduces the average time shift ratio and improves the value achieving ratio.

E 2 MR: energy‐efficient multipath routing protocol for underwater wireless sensor networks

Exploration of underwater resources, oceanographic data collection, tactical surveillance and natural disaster prevention are some of the areas of Underwater Wireless Sensor Network(UWSN) applications. UWSN is different from traditional wireless sensor network. The later uses radio waves for communication between sensors while the former uses acoustic waves for data transmission. Communication through UWSN is more challenging because of the many challenges associated with acoustic channels such as low bandwidth, high transmission delay, usual path loss and intermittent connectivity. In UWSN, some algorithms were introduced to enhance the lifetime of networks, by using a smaller battery and other for critical data transmission. However, data packets flooding, path loss and low network lifetime are few challenges with immediate attention. This study proposes a novel routing scheme referred to as the energy-efficient multipath routing (E2MR) for UWSN, which is basically designed for long-term monitoring with higher energy efficiency and delivery ratio. The E2MR establishes a priority table, and the forward nodes are selected based on that priority table. Different experiments are carried out by simulating E2MR and compared with Depth-Based Routing (DBR), EEDBR and H2-DAB with respect to the number of live nodes, end-to-end delay, packet delivery ratio and total energy consumption.

Energy‐balanced and energy‐efficient clustering routing protocol for wireless sensor networks

Prolonging the network lifetime for a reasonable period while meeting users' needs is key in developing a data gathering algorithm for WSNs. Clustered sensor networks are considered as an efficient approach for extending the network lifetime of WSNs. In clustering, sensor devices are arranged in clusters. Inside the cluster, non-cluster head nodes transmit data to the cluster head ( C H ) nodes while the C H forward the message to the sink. Irrespective of how the clusters are formed, a clustered WSN requires sturdy energy-balanced (EB) and energy-efficient (EE) communication protocol. Different from the previous clustered based routing protocol, this paper develops and analyses a selective-path priority table EB and EE clustering based routing protocol, which employs a mobile sink. The priority table is formed by prioritising the two shortest paths to the C H or sink according to some simple but efficient rules. The rules are derived using some routing metrics such as transmission range/power and residual energy. The simulation results show that the proposed routing protocol can be integrated with most clustering formation algorithms, even in large scale WSNs. Besides, results show that this routing protocol improve the network lifetime and throughput as compared to similar schemes.

Olga Pankratievna Teslenko, the Enthusiast and Innovator of Scientific Research: to the 50th Anniversary of the First Edition of the Library Bibliographic Classification

The article examines the biography of Olga Pankratieva Teslenko (1911—1974), the eminent library scientist, developer and the first chief editor of the Library bibliographic classification (LBC). Her name is inextricably linked with the history of the national Library bibliographic classification and introduction of LBC in the practice of libraries.The purpose of the article is to reveal the significance of personality of the scientific supervisor in the formation of potential of sustainable development of the national classification system, ensuring its fundamental nature, comprehensiveness and integrity at all stages of the LBC development.The completion of publication of LBC schedules for scientific libraries (1960—1968) became an outstanding event in the national library science. Theoretical development of the LBC was most fully reflected in the Introduction to the Classification and in the numerous articles published in special periodicals. There were formulated theoretical and philosophical principles of LBC construction, substantiated the sequence of the main classes, the principles of classification of sciences. O.P. Teslenko has developed the priority table of LBC index signs for their automatic ordering. O.P. Teslenko made significant contribution to the study of issues related to the use of LBC as a language for automated information search. She carried out a lot of work on the analysis of LBC schedules in the light of the requirements of the automated information retrieval system (IRS) and developed the program of schedule optimization. As scientific supervisor, O.P. Teslenko created organizational structure for coordinating activity with the largest libraries of the country, their interaction with scientific and branch institutions and organizations cooperating in the development of the national classification.O.P. Teslenko’s articles on LBC, published in press, have found the response abroad, were translated into many languages and still serve as a source of theoretical and methodological basis in research studies on classification of sciences and library and information activities.

A Pragmatic Approach for Selecting a Suitable Wind Turbine for a Wind Farm Considering Different Metrics

This paper presents a new approach to select a suitable wind turbine (WT) for a wind farm (WF) site. In this approach, economy, reliability, resilience, and environmental aspects have been taken into account, as all the four aspects have a great deal of impact on the selection of a WT for a given site. Six commercially available WTs have been considered for this study. The energy output from a WF is significantly affected by wake, hence, in the proposed approach, placement of WTs in a WF is optimized using particle swarm optimization to reduce wake effect while increasing the energy production. A new algorithm has been proposed to find the reliability indices of the WF considering forced outage of WTs. In this context, two important reliability indices, such as expected energy not supplied and availability have been adopted to study the reliable viability of the optimized WF with all the six types of WTs. Power system resilience study has been gaining great deal of importance in recent times, but individual WF resilience study has not been addressed till now. This paper incorporates resilience as one of the criteria to select a suitable WT for any site. A new approach has been described in this regard to quantify the WF operational resilience by proposing an ideal resilience pentagon. The impact of all the six WTs on environment in terms of reduction of greenhouse gas emission has also been considered. Two different shaped WFs (same area) with same wind profile have been considered to study the proposed approach. A priority table has been formulated according to the ranking of WTs for different indices. The results show that the choice of WTs for WFs of different geometrical shape, however, with the same wind profile and the area may be different and largely depend on the choice of decision maker.

Scoring the Census Priority Table for Age Heaping and Shifting: A Study of 2006 Nigeria Population Census Result

Scoring the Census Priority Table for Age Heaping and Shifting: A Study of 2006 Nigeria Population Census Result

Dynamic priority scheduling method for the air‐defence phased array radar

A novel scheduling algorithm was proposed aiming at the time resource allocation in the air-defence phased array radar. The algorithm colligated the threat density of the target and the deadline of the task to calculate the task synthetic priority. Through establishing the threat model of targets and designing the dynamic priority table, the threat level of the target, the task dwell time and the deadline of the task were colligated to calculate the task synthetic priority. Thereby all radar task synthetic priorities were dynamic, and the most important and urgent task could be prior scheduled. In addition, the notion of the threat ratio of execution was put forward to reflect the algorithm performance on scheduling the important tasks. The simulation results show the significant improvement of the proposed algorithm compared with the earliest deadline first algorithm.

Modified centralized ROCOF based load shedding scheme in an islanded distribution network

This paper presents two centralized adaptive under frequency load shedding (UFLS) methods based on loads willing to pay (WTP) and new objective function. The objective function is considered to minimize load shedding penalties that are paid by distribution network operator (DNO), using optimal algorithm. Maintaining DG units in an islanded distribution system is proposed to prevent system blackout. One of the most important protection schemes to prevent a system blackout is UFLS method. In our proposed UFLS method, amount of load shedding is dependent on loads priority table and intensity of event. Loads priority table is formed, using rate of change of frequency of loads (ROCOFL) indices. Proposed techniques apply the amount of loads active power every few minutes to update loads priority table. These proposed UFLS methods are implemented on the 14-bus Danish distribution system in 3 different load scenarios and are compared with a conventional approach.

Design and Application of Task Scheduling Module Based on Priority Table Query in Wireless Sensor Network Node

Event-driven systems and thread-driven systems are two major design philosophies of operating system in wireless sensor networks. Systems based on multi-threaded are more timeliness than the event-driven systems, which can meet the requirements of time-critical tasks by means of task preemption, while systems based on event-driven are more energy efficient.The article introduces a task scheduling module in event-driven system. The module takes a kind of priority table query method to choose the most important task with highest priority to schedule.It is seen that the module is suitable wireless sensor network.

A Real-Time Scheduling Algorithm Based on Priority Table

Among preemptive real-time uniprocessor scheduling algorithms, many researches, such as optimal and heuristic algorithms, considers only one task attribute and neglects also the variation of attributes. To understand the relations between task attributes and scheduling success ratio, we first define the sensitivity of scheduling success ratio to task attributes. Sensitivity means the intensity of variation of scheduling success ratio as task attributes varies. The paper analyzes the sensitivities of scheduling success ratio to arrival time, execution time, deadline and laxity respectively, which have close relations with scheduling. Based on the definition of sensitivity, we also define attributes influence on scheduling success ratio, which is that the greater the influence, the higher the ratio. The essence of dynamic scheduling is a scheduling based on priority, with each dynamic algorithm matching a priority table, and vice versa. It is also much easier to infer the algorithm from the priority table, which can consider several task attributes. As priority table has various designs, it can correspond to a lot of algorithms, among which, many are inefficient. In order to deal with this kind of problem, we propose a new priority table design PTBM combining deadline and laxity based on the analysis of sensitivity and influence, which makes that a task with small deadline and large laxity has higher priority. We compare PTBM with EDF, LLF and PTD through simulation. The results verify the analysis of sensitivity and influence, and it also shows that PTBM outperforms on scheduling success ratio. It needs further exploration to design more efficient priority table by analyzing more task attributes influence on scheduling success ratio, which includes criticalness, task type and so on.

Spectrum sharing method for secondary systems using frequency priority table to reduce inter-secondary interference

Because of the rapid development of cognitive radio technologies, research on sharing frequency resources allocated to primary users with secondary users has attracted much attention. If a frequency band is unused by the primary users, multiple secondary users are expected to share the spectrum in a future wireless communication network. To efficiently share the spectrum among secondary systems, we propose a novel channel allocation method that uses a frequency priority table generated based on the location of the secondary system. By using this method, the interference with other systems is autonomously reduced by selecting channels. Moreover, a power control method is also proposed for protecting the secondary systems that are allocated to the channels with higher priority.

Reply to Lévy et al

We thank Levy et al1 for pointing out the unfortunate inconsistencies in our paper.2 The aberrant phasing in our Figure 1 was pointed out to us at an earlier stage by the Jain Foundation and an erratum is being published in parallel (EJHG, this issue). Regarding the mix-up of the oligonucleotides h32DYSF1 and h34DYSF2, we confirm this and have it included in the erratum. It is due to a regrettable mix-up in the ordering procedure. We are pleased to learn that in fact our overall success rate is even better than we initially assumed (at least 78%), because according to Dr Levy targeting exon 32 with our antisense oligonucleotide (AON) is also effective. We are in the process of testing the aberrantly named h32DYSF2 (which targets exon 34) to see whether it induces exon 34 skipping. The authors question the significance of our finding that DYSF exons can be readily skipped using AON design guidelines derived from Duchenne muscular dystrophy (DMD) AONs.3 We would like to emphasize that the DMD gene is by no means a regular gene. It is the largest gene in the human genome (2.2 Mb), the coding sequence makes up only ∼0.6% of the gene and thus the introns are exceptionally large. As such, it is conceivable that DMD exon splicing is more reliant on exonic splicing enhancers than other genes, which would make it easier to induce exon skipping targeting exonic sequences.4 It remained to be confirmed that this was also the case for other genes and, in fact, one of the major objectives of our study. Our study clearly shows that this appears indeed to be the case, which is an encouraging finding for the exon skipping approach in general. While analyzing the DYSF gene and dysferlin protein for eligible exons, we have taken a conservative approach. Levy and colleagues point out that C2 domains might not be essential for protein function, given the mild phenotypes of the exon 32 deletion patient5 and their own patient who only expresses the most C-terminal C2 domain and the transmembrane domain, due to a large homozygous mutation. Nevertheless, there are numerous patients who suffer from splicing mutations that do disrupt domains upstream of the deletion, and who are affected.2 Therefore, we felt it was prudent not to assume these domains were redundant, except for the fourth C2 domain, which is deleted in the patient described by Sinnreich et al.5 In addition, our priority table is not only based on whether domains were considered essential, but also on the feasibility of correcting mutations. Levy and colleagues point out that the large homozygous deletion represents a basis for multiple exon skipping targeting C2 domains. Although this may be true, it would involve skipping not less than five exons simultaneously for the eligible C2 domains.2 Here a word of caution is in place. Although it has been shown that therapeutic skipping of two exons (double-exon skipping) is feasible in Duchenne patient-derived cell cultures,6 and in vivo in a dog model,7 therapeutic triple-exon skipping has thus far only been shown for a Duchenne patient with a duplication of exon 44, where targeting exon 43 and exon 44 resulted in skipping of exon 43 and both exons 44.8 Despite theoretical promise, as set out by us and others,6, 9 combined skipping of more exons has been proven extremely challenging as yet, in practice.10, 11 In view of this, we have given a low priority to exons that require multiple (three or more) exons to correct the reading frame. Finally, although in the absence of patient cell lines we were unable to show that exon skipping of dysferlin leads to restoration of a truncated dysferlin protein product, we felt our findings were of sufficient importance to share with the scientific community. As we discuss in our paper, follow-up research is needed to assess whether exon skipping not only restores production of a truncated dysferlin protein, but more importantly, also leads to (partial) restoration of its function and thus has therapeutic potential for dysferlinopathy patients.

Multi-parameter fusion algorithm for auto focus

A multi-parameter fusion algorithm (MPFA) for auto-focus (AF) is discussed. The image sharpness evaluation algorithm (ISEA) and zoom tracking method (ZTM) are combined for AF. The zoom motor position (z) and background complexity (c) are regarded as the main parameters of this algorithm. A priority table depending on z and c is proposed. Modified ISEA or ZTM is adopted according to the priority table value. The hardware implementation of the MPFA on Texas Instruments' Davinci digital signal processor is also provided. Results show that the proposed scheme provides faster focusing compared with the conventional approaches.