The Decision-making is undeniable and is an integral part of in almost all the processes either in the complex form or as a simple procedure. It often refers to the prioritizing (ranking) the alternatives based on several conflicting criteria. To ensure that the process of decision making runs smoothly with minimum errors, multiple criteria decision-making abbreviated as "MCDM" is used for obtaining

The most common types of induction rotating machine failures are the mechanical faults induced by misalignment, mechanical imbalance and bearing fault. It is well known that the vibration is the best and the earliest indicator of arising mechanical defect. Thus, this paper presents a novel practical bearing fault diagnosis method based on wavelet package decomposition (WPD) associated with neural network

In obedience with the economic order quantity model, the ordered lot has 100% good quality items, but this is only suppositional. On examination, it is learnt that some of the produced lots have defective items because of process retrogression and other such factors. Thus, in this situation, the inspection of lots is essential for all organizations when the items are deteriorating in nature. Owing

Component-based software engineering emphasizes ‘development by means of reuse’ and ‘development meant for reuse’. Whether the system is simple or complex one, the estimation of better reliability remains a crucial concern. The main purpose of this work is to propose a method for reliability estimation and the computation of execution time of component-based software. In this work a metric named ‘reusability-ratio’

This research purpose is to develop a decision-making mechanism capable of enhancing SADC effectiveness and efficiency during regional relief operations. The research was conducted in three phases: phase 1 with the aim of exploring SADC relief supply operations readiness, their available infrastructures as well as the existing coordination between relief agencies and other relevant parties. Phase 2

Persistency has always been the area of grave concern over the decades in insurance sector. To model the same one would initially make utilization of regression approach but that could not serve the purpose of identifying the risk factors and time trends which affect persistency. For this purpose, one should make use of survival models which account for censored data. But there are still certain concerns

Data warehouse is constructed with the purpose of supporting decision making. Decision making queries, being long and complex, consume a lot of time in processing against a continuously growing data warehouse. View materialization is one of the alternative ways of improving the response time of such analytical or decision making queries. This involves selection and materialization of views that minimize

Software quality is the prime solicitude in software engineering and vulnerability is one of the major threat in this respect. Vulnerability hampers the security of the software and also impairs the quality of the software. In this paper, we have conducted experimental research on evaluating the utility of machine learning algorithms to detect the vulnerabilities. To execute this experiment; a set

The primary aim of this paper is to bring an insurance plan for HIV/AIDS patients. Recent studies based on antiretroviral therapy (ART) and highly active antiretroviral therapy (HAART) suggests long term survival of HIV/AIDS patients. Use of cure fraction model has revealed that a considerable proportion of patients are long term survivors out of the diseased cohort (Grover et al. 2019). The survival

Dialysis processes within the home care context is associated with risk factors which are not very prominent in the hospital context. This includes risk factors such as unanticipated device malfunction, or erroneous operation of the equipment, which exposes the patient to injury while undergoing dialysis. Importantly, the mentioned risk factors are further attributed to technical aspects such as sub-optimal

Over the last two decades, the Democratic Republic of Congo (DRC) has been plague by conflicts that has caused the lives of millions of Congolese in the eastern parts of the country while displacing many more. These multifaceted man-made conflicts have contributed to the crumbling of the regional infrastructures and transportation system, to insecurity, poverty and many more. Despite the region huge

AES and ECC are considered as the best encryption algorithms, both are approved by NIST and are regarded as next generation algorithm. It is believed that they are quantum computer resistant. The compact ciphertext size of ECC and AES makes them the best choice for cloud computing, sensor networks or small devices where we want resource-saving without compromising the security of the system. But the

A nexus of technological advances and an increasingly competitive environment of the retail industry has taken the phrase, “Customer is the King” to a new tangent altogether. It has been observed how combination of technologies along with analytical concepts of video analytics, social media analytics, wireless analytics and smart vision systems on marketing concepts like market basket model, value-based

New Product Development has gotten significant for supportability in the present advanced and aggressive market. It is a critical factor in an organization’s success. A firm may encounter a situation where in a number of feasible alternatives are available and they would like to invest in all these available alternatives. In this situation, obstruction comes in apportioning assets to various new item

Understanding the diffusion paradigm of emerging technological products is crucial for continuous development. In this study, a value-based diffusion model is proposed to forecast the market performance of new products. The model analyzes the interaction between the consumer’s psychological perspective on dynamic price and goodwill of the new product using a two-dimensional framework. A Cobb–Douglas

In this paper, we study a weighted distribution which is known to provide adjustment to the base distribution by ascertaining the probability of the actual occurrence of events vis-a-vis records and observations. Log-logistic distribution is a widely used time to event model with heavy tails. We introduce a two parameter length biased log-logistic distribution which is a special case of weighted distribution

The United Arab Emirates (UAE) has been experiencing the need for higher growth in gross domestic product (GDP) over the last few years. This growth necessitates the investments in major construction projects over the next few years. Unlike the projects in other industries, construction projects subjected to unique characteristics increase the probability of risks occurrence and their impact on achieving

In this paper, a method for detecting the stator internal coil fault detection for a permanent magnet synchronous motor (PMSM) using the ANFIS algorithm is proposed and described. At first, the dynamic model of the synchronous motor along with its certain fault will be introduced. Since fault detection in these engines is very important and has a high value, different methods have been proposed for

Communication has a remarkable and strategic role for the success of every enterprise. Nowadays, computer networks can be used as efficient tools to create connections between departments of an organization and to communicate with customers. Therefore, it is crucial for companies with IT-based activities to use computer networks so as to increase their efficiencies. In this paper, a bi-objective mathematical

Whenever a vulnerability is detected by the testing team, it is described based on its characteristics and a detailed overview of the vulnerability is given by the testing team. Usually, there are certain features or keywords that points towards the possible severity level of a vulnerability. Using these keywords in the vulnerability description, a possible estimation of the severity level of vulnerabilities

The purpose of this research is to conduct a Systematic Literature Review to identify organizational excellence methodologies (OEMs) from the state of the art literature, classify them based on their business sector, generate a unified list of organizational excellence (OE) critical success factors (CSFs), and propose future research agenda. A comprehensive analysis conducted on publications/year,

We explore the use of machine learning techniques to classify a news source for generating unreliable news. Since the advent of the Internet, unreliable news and hoaxes have deceived users. Social media and news outlets are spreading false information to increase the number of viewers or as a part of the psychological competition. In this paper, we present an ensemble classifier using a set of marked

This paper presents the performance assessment of smart pressure transmitters subjected to accelerated radiation environment. Two transmitters were subjected to accelerated radiation ageing with a cumulative dose of 73 krad and 47 krad respectively at a dose rate of 1.878 k Gy/hr using cobalt-60 gamma radiation source. Investigation was mainly concerned about studying the performance parameters such

Choreography of different web services in Service Oriented Architecture is expressed using Web Service Choreography Description Language (WS-CDL). A WS-CDL process consists of interactions and roles for participants. It evolves over time due to different types of changes in the participants, roles and interactions. In this paper, metrics are proposed under two categories. Metrics under first category

Resilience engineering (RE) has introduced new ideas into reliability engineering and safety science and has highlighted new concepts of safe work that could be considered for reliability improvement. The aim of this paper is to put forward an approach within the framework of resilience engineering to service reliability improvement in maintenance organizations. The strategy for reliability improvement

Decreasing the scale of transistors and their voltages and exponential increase in the transistor counts have made the nowadays digital integrated circuits more susceptible to transient hardware errors (soft errors). One of the interesting features of software systems is that a considerable number of soft errors are inherently masked at software level. The likelihood of error masking (error deration)

Sensor networks are data-centric networks constrained with limited battery power and processing capabilities. One of the crucial challenges in sensor network is energy hole problem. In order to deal with the challenge, there exists several mechanisms, of which clustering is considered an energy-efficient solution. In general, clustering refers to the technique of grouping nodes on the basis of similarity

In this paper, comparative analysis between the profits of three reliability models of a building cable manufacturing plant is carried out. To facilitate the analysis, real maintenance data of the plant are collected. Three case specific reliability models of the plant are developed. Semi-Markov processes and regenerative point techniques are used to estimate optimized reliability indices of the plant;

This paper presents a method to select a fit size from the data sizing system by using fuzzy technique. First, we coding size from data in the sizing system with the numerical order to use looking for sizes. Second, choosing primary dimensions from the sizing table which is coded. Then, the fuzzy technique is used to choose the fit size of human which is based on the real data in the table and any

To exploit the attractive features of CDMA systems and the tremendous bandwidth provided by optical communication such as fiber, VLC, and Li-FI channel, a new system is emerging and is known as optical code division multiple access. These systems require optical orthogonal codes (OOCs). This paper presents an algorithm to design OOCs and determines the auto-correlation (\(\lambda _a\)) and cross-correlation

In this study, we set up a virtual subway car and analyzed the stress response of young passengers in different compartments. A total of 10 volunteers participated in the experimental study. We measured their diastolic blood pressures, systolic blood pressures, and heart rates, from a car density of one person per square meter to a density of 10 persons per square meter, using 37° sport wristbands

In the last three decades, Interdisciplinary research has attracted researchers, academicians, and practitioners from the varied field to collaborate and come up with the solution to a problem. This increase in interdisciplinary research is due to its ability to solve complex problems with the help of tools from various disciplines. Interdisciplinary research is based on some of the most important

Switches and crossings (S&C) or turnouts are one of the important systems in the Swedish railway traffic maintenance planning. For immediate diverting of the trains, they need to be predict the working condition for short time duration, also known as nowcasting and for long time duration, also known as forecasting. The prediction of the condition of turnout is useful for traffic planning without disrupting

The Internet of Things (IoT) is currently the main enabler of smart services, where network communication links physical objects (embedded Things), such as a sensor with a main backend server, and allows the collection and exchange of data. Therefore, it is very important to maintain high availability of smart services, especially critical services, in case any failure of the objects occurs. In this

The present paper deals with real-life bridge structure and evaluates the reliability function with the help of the universal generating function technique where the components of the system have different performance states. The bridge system (complex) is known as the combination of series and the parallel system where the system cannot be simplified into pure series or pure parallel structure. Universal

Power interruptions can cause significant financial losses to commercial and industrial customers. Backup generators and multiple utility supply feeders are often employed to improve the reliability and minimize such losses. The customer reliability depends not only on the service entrance reliability and backup generator system but also on the reliability of the components, such as circuit breakers

Bad-smell indicates code-design flaws and poor software-quality that weaken software design and inversely affects software development. It also works as a catalyst for bugs and failures in the software system. Refactoring methods are used by software practitioners as corrective actions for bad-smells. The problem relies in the fact that there are over seventy refactoring methods available in literature

Space weather is a phenomenon in which radioactivity and atomic particles is caused by emission from the Sun and stars. It is one of the extreme climate events that could potentially has short-term and long-term impacts on infrastructure. The effects of this phenomenon are a multi-fold process that include electronic system, equipment and component failures, short-term and long-term hazards and consequences

A sustainable production inventory model that addresses some of the pragmatic scenarios of the production process is developed. The production process is considered imperfect which results in the production of some imperfect quality items with known distribution. The imperfect products are managed through an efficient rework process that makes the items suitable to be vended at their original markup

IT has revolutionized every aspect of human life. Today business pace is far faster and bears different dimension than earlier. Markets and customer expectations are shifting fast so putting pressure on transport logistics in big way. This is causing evolving of complex supply chain models as number of stakeholders have increased so is their expectation. In this context three (Aberle in Transportwirtschaft:

The continuous increase in the system’s software management and run-time exception problems in system’s software leads to the development of self-managed autonomic software systems. The idea of developing autonomic software system was proposed by IBM in 2001. The approach involves prevention of security threats; system or any of the system’s software failures, and will promise high performance software

From the solitudinarian era to the present, the human race has been striving towards the betterment of his life by trying to find out the hidden secrets of our nature. Some time back one would hardly think that colonies of ant, pack of grey wolves, and elephants would be used to design an optimization algorithm. One of the optimization techniques called Grey Wolf Optimization (GWO) algorithm is motivated

Transportation time information plays an important role in transportation and logistics. Variability in transportation time is obvious in any mode of transport due to unpredictable system parameters and their dynamic behavior. Significant work has been done in transportation on road and rail modes but the area is still open and hot for maritime being less explored so far. This paper, in maritime perspective

The eWOM helpfulness and its effect on customer buying behavior are well recognized. All previous helpfulness related studies mainly focus on the determinants of review helpfulness. However, the helpfulness of newly posted eWOM over earlier online reviews (eWOM) has not yet been studied within the context of hospitality and tourism sector. The aim of this paper is to analyze the impact of review recency

Innovation management and associated modeling have garnered significant research interest in recent decades. The considerable interest in the topic resulted in the development of several innovation models for private and public sector organizations. A comprehensive literature review conducted by the authors of this paper on various innovation management models in the private and public sectors revealed

In order to prevent the occurrence of negative stress reaction of subway passengers under fire and improve the positive stress reaction ability of subway passengers, the characteristics of fire stress physiological reaction of subway passengers were analyzed by experiment and catastrophe theory. Firstly, the virtual reality technology is used to realize the subway car fire, which requires the volunteers

The Internet of Things (IoT) system deals with a large amount of data generated by numerous sensors distributed over a vast geographical area. The goal of gathering such a massive amount of data is to create information. The optimum Information Quality (IQ) is critical for leveraging value from the IoT system. Although several studies have made various proposals on managing IQ, there seems to be a

Wire electrical discharge machining (WEDM) process used in a wide spectrum of industrial applications. AISI 1045 is medium carbon steel, because of its excellent physical and chemical properties, it is used in many applications. However, the review of the state of the art literature reveals that literature is lacking research to optimize WEDM process for machining AISI 1045 steel. The objectives of

Automatic identification of diseases through hyperspectral images is a very critical and primary challenge for sustainable farming and gained the attention of researchers during the past few years. The technologies proposed, and techniques adopted so far are slighted in their scope and utterly contingent on deep learning models. The performance of convolutional neural networks is emerging as the most

This paper deals with maximum power point tracking control (MPPT) of wind turbines systems based on double fed induction generator (DFIG). To minimize the variable and random character of wind speed impact on the wind turbine system, a maximum power point tracking algorithm based on sliding mode control is proposed. The MPPT algorithm is designed with sliding-mode control theory, this solution shows

Scan design is extensively exploited to test transition delay faults (TDF). Broadside test commonly referred as launch on capture and skewed load test is also commonly referred as launch-on-shift are two approaches to test TDF’s through scan design. However arbitrary test vector pair application is not supported by scan design because of architectural constraint of scan and this eventually limits the

Despite the attention that the modeling and analyis of infrastructure interdependencies have received over the past two decades, only a small number of methods have been proposed for modeling interdependencies among substations (S/Ss) in electric power system (EPS) networks. For this reason, this paper proposes a novel approach that integrates interpretive structural modeling (ISM) and fuzzy cross-impact

Information technology has seen enormous growth in the last few decades. The backbone of this growth is the developments in the software industry who is working day and night to meet all the expectations. As we know a reliable software can ease our work but developing reliable software may take a longer time. At the same time, huge market competition has forced firms to deliver reliable products as

One crucial aspect that had cost business organizations so much is management of compliance requirements from various regulatory sources. In a bid to avoid being penalized, some organizations have adopted various techniques to accomplish this task. However, literature revealed that few thorough reviews have been centered on this subject in a systematic way. This implies that a review that systematically

In manufacture sector, the surface finish quality has considerable importance that can affect the functioning of a component, and possibly its cost. The surface quality is an significant parameter to evaluate the productivity of machine tools as well as machined components. It is also used as the critical quality indicator for the machined surface. In recent years the prediction of surface roughness

Cost performance is a concern particularly for Complex multi-stakeholder projects in the form of critical infrastructure. Evidence suggests that critical infrastructure projects in the United Arab Emirates (‘UAE’) experience substantial cost overruns. Cost overruns and its consequences in terms of project failure can lead to substantial negative and unintended consequences on infrastructure project

Despite the global trend toward increasing public–private partnership (PPP) implementation in the provision of economic and social infrastructure, published work on the systematic examination of crucial success factors in the housing sector remains limited. Failed PPP projects in affordable housing endeavors in several countries and the relatively limited studies on related critical success factors

Self-excited induction generators (SEIG) are playing a vital role as useful machines to feed a three-phase load at remote and windy locations where possibility of grid extension is very poor. In isolated mode, the operation of self-excited induction generators under unbalanced load and excitation may results into over voltage and over current in any phase of the machine. In this paper, performance

The present study suggests an integrated approach for determining the optimal release policy for the Mula reservoir situated at the Godavari basin, India. The proposed integrated algorithm named DP-PSO is a hybridization of Dynamic Programming (DP) and Particle Swarm Optimization (PSO). The reservoir operation problem is demonstrated in the form of a nonlinear optimization model subject to various

In this study, educational demographics has been studied in the banking sector within a developing economy context targeting job allocations. In a system view, among organizational demography; educational demographics of staff should be regarded at various educational levels where the number of employees must be determined concerning job leveling and organizational development. This study has been