Performance Analysis Techniques Research Articles

Wavelet Techniques for Medical Images Performance Analysis and Observations with EZW and Underwater Image Processing

The digitized image has an important role in the compression. Compression encodes the image using a certain algorithm with less number of bits and decompression decoded this image in original form using a different algorithm. The clinical environment and hospitals are moving towards digitization, computerization and centralization in the field of medical image processing. Content based compressions (CBC) techniques turns more considerable in the field of medical image processing and multimedia. However, CBC techniques alone are not adequate for all medical image processing applications. Therefore, in this paper, the EZW algorithm has been discussed with Haar wavelet and Bior4.4 technique on skeleton images with different type of image quality parameters. The analysis shows that the compression ratio (CR) of EZW with Bior4.4 on skeleton image is 44.19%, MSE is 527.73 and PSNR is 45.45. While, the CR of EZW with Haar on the same image is 40.31%, MSE is 699 and PSNR is 35.34 db. Further EZW can help precise capacity of amount, exterior area and other morph metric capacity of organic stuff, lacking removing them commencing the sea or in the marine environment.

A conceptual approach to graphically compare construction schedules

Purpose This paper aims to present a graphical comparison method for construction schedules, which illustrates the differences for each individual activity. The method overlays the observed differences on a bar chart creating a representation of whether each activity is ahead, on or behind schedule at a given date. Design/methodology/approach The method is implemented using a Microsoft Project add-in (plug-in). The paper demonstrates the method and its potential uses with three illustration cases: a time impact analysis, an alternative analysis for the selection of subcontractors and a multi-baseline analysis of an as-built schedule. Findings The cases included in the paper show that the proposed method uses a simplified and familiar attribute comparison for each activity in a schedule. The method affords flexibility in presenting differences between schedules such as the start/finish dates or duration. As the method does not rely on a specific software application or analysis method, it can be implement to different software applications as well as performance or delay analysis techniques. The method also makes it possible to present multiple and selective baseline comparisons overlaid on an updated or as-built schedule. Originality/value The method graphically presents a comparison of start dates, durations and finish dates for each activity that can be integrated with any schedule. The method can be used for forensic analysis as well as project control measures during construction. As the method does not rely on any specific performance or delay calculation method, it can be applied to any forensic analysis technique and delay analysis.

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

This paper surveys the optimization frameworks and performance analysis methods for large intelligent surfaces (LIS), which have been emerging as strong candidates to support the sixth-generation wireless physical platforms (6G). Due to their ability to adjust the behavior of interacting electromagnetic (EM) waves through intelligent manipulations of the reflections phase shifts, LIS have shown promising merits at improving the spectral efficiency of wireless networks. In this context, researchers have been recently exploring LIS technology in depth as a means to achieve programmable, virtualized, and distributed wireless network infrastructures. From a system level perspective, LIS have also been proven to be a low-cost, green, sustainable, and energy-efficient solution for 6G systems. This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks. The paper first introduces the LIS technology and its physical working principle. Then, it presents various optimization frameworks that aim to optimize specific objectives, namely, maximizing energy efficiency, sum-rate, secrecy-rate, and coverage. The paper afterwards discusses various relevant performance analysis works including capacity analysis, the impact of hardware impairments on capacity, uplink/downlink data rate analysis, and outage probability. The paper further presents the impact of adopting the LIS technology for positioning applications. Finally, we identify numerous exciting open challenges for LIS-aided 6G wireless networks, including resource allocation problems, hybrid radio frequency/visible light communication (RF-VLC) systems, health considerations, and localization.

Performance Evaluation of Waterflood Reservoirs in High Water Cut Period Based on New Relative Permeability Model

Water flooding performance evaluation and recovery prediction with relatively easy tools has always been among the top aims of reservoir engineering studies, especially for mature reservoirs in high water-cut period. Relative permeability curves are basic required properties reflecting multi-phase flow characteristic and used together with production history to evaluate reservoir performance. In high water-cut period the relative permeability ratio deviate from the empirical straight-line form, which makes traditional models less effective or erroneous in performance prediction. This paper presents a new relative permeability ratio model which can convert the non-linear characteristic of this problem into linear expression. And a new simple water flooding performance analysis technique is developed based on the new model, which can be used to forecast ultimate recovery factor and the corresponding sweep efficiency. The main advantage of this work is taking into account of high water-cut characteristic with less model parameters compared with other improved models. Synthetic case and field examples demonstrated the advantages of this method in parameter solving and consistency in history matching. The proposed technique in this work can be used as predictive analysis tool in forecasting ultimate recovery and performance evaluation for mature water flooding reservoirs.

Hybrid control technique for vibroacoustic performance analysis of a smart doubly curved sandwich structure considering sensor and actuator layers

The present approach considers hybrid control strategy to reduce the amount of transmitted sound through a multilayered doubly curved sandwich shell equipped with piezoelectric layer and shunt circuit. The construction is composed of some piezoelectric actuator and sensor layers as an active controller as well as resistance–inductance shunt circuit as passive controller. In addition, a layer made of isotropic material is also sandwiched as a core. Firstly, in order to obtain the electromechanical equations of curved shell integrated with piezoelectric layers, Hamilton’s principle, and shear deformation shallow shell theory are employed. After presenting the sound transmission loss of structure, the reliability of the formulation is checked by the aid of previous outcomes. In the following, the piezoelectric layers coupled with shunt circuit are employed to inspect the influence of these patches on the control of transmitted sound through structure. The results indicate that the shunt circuit is able to enhance the sound transmission loss at resonant frequency with no need source of energy. Since in designing the engineering structures, the transmitted noise control is important especially in the resonant frequency, the influence of using several parallel shunt circuits with each piezoelectric layer is also examined. It is shown that increment of the number of parallel shunt circuits implies substantial reduction of transmitted sound to the structure in the resonant frequency. Finally, the solution process is followed to study the effect of active control on the acoustic transmission. Then, it is found that employing the simultaneous active and passive controllers not only cause to reduce the transmitted noise in the resonant frequency but also make to improve the behavior of sound transmission loss in entire range of frequency.

Faults in international showjumping are not random

Performance analysis (PA) involves the systematic observation and analysis of factors identified to enhance performance to improve athlete decision-making in a specific sport. PA is commonplace in human sports, yet despite potential advantages, its application remains limited in equestrianism. This study aimed to evaluate if factors anecdotally associated with performance in elite showjumping influenced competitive success. 250 combinations attempting 3,052 jumping-efforts across 2nd round European Fédération Equestre Internationale Nations Cup 2017 competition were analysed. Types of fault (e.g. pole down, refusal, etc.) were recorded as well as characteristics of the jump (e.g. jump type, approach angle). Combinations jumped clear at the majority of attempts (93.6; n=2,857) with faults only occurring at 6.4% of jumps (n=195). The most common faults were knock-downs (5.5%), time penalties (0.8%), faults at water jumps (0.3%) and refusal (0.2%). Faults were distributed across all fence types, however, were more common at upright fences (49%) and within combination fences (41%). A linear relationship was found between jumping-effort number and number of fences knocked-down (r=0.7; P<0.001). There were 2.8 times more knock-downs for the second half of the course (efforts 9-15) compared with jumping-efforts 1-7 (P<0.05). Faults were 4 times more likely at jumping-efforts 3, 4, 5 and 8 in the first half of the course (P<0.03) which increased to being 9 times more likely in the 2nd half of the courses (jumping-efforts 9, 10, 11, 12, 13 and 14; P<0.006). A straight approach to a jumping-effort reduced the chance of faults by 48% (P<0.0001) compared to a non-straight approach. These preliminary results suggest faults are not randomly distributed in elite showjumping and that patterns exist within fault accumulation demonstrating that the application of PA techniques in equestrian sport could lead to a performance advantage.

Quality Based Analysis of Clustering Algorithms using Diabetes Data for the Prediction of Disease

Clustering is the popular fundamental investigative performance analysis technique commonly used in various applications. The majority of the clustering techniques proved their effectiveness in finding lot of solutions for a variety of datasets. With the aim of test its performance and its clustering qualities are easy to implement by partition based clustering algorithms. The clustering algorithms k-Means and k-Medoids are used to analyze the diabetic datasets and to predict the diseases in this research work. Around 15000 diabetic patient’s consequential final bio-chemistry prescription are taken for the diabetes identification. With number of times executed the run time of the algorithms are compared from the different clusters. Based on their performance the first-rate algorithm in each class was found out.. The best suitable algorithm is suggested for the prediction of diabetes data in this work.

An Integrated Approach to Determining Rural Tourist Satisfaction Factors Using the IPA and Conjoint Analysis.

Rural tourists satisfaction has a pivotal role in the development of sustainable rural tourism. As a method of identifying critical satisfaction factors, an importance and performance analysis (IPA) technique has attracted growing interest from academics due to it being able to deliver the importance and performance of a product’s attributes from the standpoint of customers. However, IPA is based on the presumption that a linear and symmetrical relationship exists between the performance and overall satisfaction, which has been criticized by many researchers due to its deviation from the facts. On measurement of importance, researchers have not reached an agreement on whether direct or indirect approach should be applied. To measure satisfaction more effectively, this study presents a revised IPA method that integrates IPA, conjoint analysis and importance grid analysis. Based on mathematical psychology and psychometrics theory, the conjoint analysis method can be used to analyze multi-attributes of various products and derive relative importance of attributes in customer satisfaction research. The importance grid analysis method has been applied to categorize attributes by many researchers. It can be used to measure the nonlinear relationship between the performance of attributes and overall satisfaction. In this paper, an empirical study on rural tourists’ satisfaction was undertaken using this integrated method. The results show that the integrated approach is more responsive to attribute performance, thus allowing for improvement of a certain target attribute in the customer satisfaction enhancement process.

A new hybrid method for the fair assignment of productivity targets to indirect corporate processes

Increasingly complex value chains and rising competition require firms to employ advanced planning mechanisms. Planning is frequently done by corporate entities based on performance analysis techniques. Within planning processes, total resource levels that should be allocated are regularly defined ex-ante, giving rise to decision problems that go beyond basic efficiency analysis. We have developed a method allowing the allocation of an ex-ante defined resource level across various processes of an organisation. We propose a mixed-integer/linear program that incorporates a social welfare function, allowing decision makers to consider fairness aspects. The practicability of the method is demonstrated in a real-life case study. The model-based allocation strategy is compared to alternative approaches. The proposed approach is beneficial in two dimensions: Either fewer activities are required to reach the total productivity target, or a lower overall strain level among the activities in respect of their improvement efforts can be achieved.

MFLRS‐RDF technique for optimal sizing and performance analysis of HRES

AbstractAn optimum HRES size and performance using upgraded optimization technique is proposed in this paper. The upgraded optimization technique is the joint execution of moth flame optimization (MFO) with the integration of local random search (LRS) called MFLRS and random decision forest (RDF), and hence it is named as MFLRS‐RDF technique. Minimization of the life‐cycle cost of the HRES subject to some constraints by adjusting decision variables namely, photovoltaic area, swept area of wind turbines, fuel consumption of the biodiesel generator, and a number of batteries is the main objective of the proposed approach. The inputs for the design of HRES are solar radiation, wind speed, demand for load, and temperature that vary in time. In the proposed technique, the RDF optimally predicts the load demand based on the historical dataset. In light of the forecasted load demand, the MFLRS technique provides an optimal configuration of HRES. For enhancing the updating function of MFO, the LRS technique is utilized. Furthermore, the proposed technique optimizes the various parameters such as system total cost, various sources power generation, the contribution of various sources, continuity of supply to the unmet load, and load demand. HRES' parameters are optimized with the proposed strategy, and the proposed strategy provides a reliable solution. The proposed strategy is implemented on the working platform of MATLAB/Simulink. The HRES performance is evaluated using comparative analysis with existing techniques.

Pengaruh Marketing Mix terhadap Keputusan Wisatawan Mancanegara mengunjungi Ekowisata Mangrove di Tahura Ngurah Rai, Denpasar


 
 
 
 Marketing is one of the important strategies in tourism activities. With the marketing, tourists know the tourist attraction that will be visited. Marketing consists of several aspects, such as product, place/distributions, price and promotion (marketing mix). This research was conducted to determine the form of marketing mix at Tahura Ngurah Rai Mangrove Ecotourism and measure how much influence the marketing mix had on the decisions of foreign tourists visiting Tahura Ngurah Rai Ecotourism. The method used in research is quantitative method. Data collection is conducted by questionnaire, observation, and literature study. While the data analysis technique used is the Important Performance Analysis (IPA) technique.
 
 
 
 
 The results of study showed that the components of the marketing mix consisting of products, prices, places / distributions, and promotions still did not meet the level of tourists satisfaction, There were still several components that had to be increased such as price and place. Therefore, the manager must focus on to the component that doesn’t meet the level of tourist satisfaction since it can influence the tourist visiting decisions.
 
 
 
 
 
 Keywords : Marketing Mix, Ecotourism, Tahura Ngurah Rai
 
 

Performance assessment of K-type, E-type and J-type coaxial thermocouples on the solar light beam for short duration transient measurements

The estimation of transient surface heat flux from transient temperatures background using fast response thermal sensors is one of the most prevalent technique used for short duration measurements where the heat transfer rate changes rapidly such as in the applications of internal combustion engine, gas turbine engine, high-speed flight test, aerodynamics re-entry vehicle, etc. The coaxial thermocouples are quite beneficial in these engineering applications due to having a very quick response time in the order of a millisecond or less (~0.1 ms). Moreover, these coaxial thermocouples are more cost-effective because they can be contrived in-house. As they have coaxial geometry, it can be directly executed in any type of surface geometry. This work deals with the fabrication of K-type, E-type and J-type coaxial thermocouples and a unique type of calibration technique has experimented in the laboratory. These fabricated coaxial thermocouples are calibrated statically using oil-bath based technique for performance analysis and calculate the thermal coefficient resistance (TCR) & sensitivity (S). A new type of experimental arrangement is devised by applying a known value of step heat load on the junction of the coaxial thermocouple. The concentrated sunlight beam has been focused on the junction of the coaxial thermocouple and the variation in transient temperature has been recorded. Subsequently, their transient heat flux has been estimated using one-dimensional heat conduction modeling for the semi-infinite body. The numerical analysis carried out using commercial software Ansys 15.0 and analytical evaluation is found to be a reasonable covenant between experimental results. This analysis states that these handmade coaxial thermocouples are suitable to measure the surface heat flux in the sunlight based application for short duration transient measurements.

Broadened support for software and system model interchange

Although sound performance analysis theories and techniques exist, they are not widely used because they require extensive expertise in performance modeling and measurement. The overall goal of our work is to make performance modeling more accessible by automating much of the modeling effort. We have proposed a model interoperability framework that enables performance models to be automatically exchanged among modeling (and other) tools. The core of the framework is a set of model interchange formats (MIF): a common representation for data required by performance modeling tools. Our previous research developed a representation for system performance models (PMIF) and another for software performance models (S-PMIF), both based on the Queueing Network Modeling (QNM) paradigm. In order to manage the research scope and focus on model interoperability issues, the initial MIFs were limited to QNMs that can be solved by efficient, exact solution algorithms. The overall model interoperability approach has now been demonstrated to be viable. This paper broadens the scope of PMIF and S-PMIF to represent models that can be solved with additional methods such as analytical approximations or simulation solutions. It presents the extensions considered, describes the extended meta-models, and provides verification with examples and a case study.

A Novel Performance Analysis Technique Using Modeling and Refactoring for Software Architecture

Every software system has an important quality property or attribute which is known as its performance but it is much difficult and complex to understand. A project can be lost or damaged if the performance goals are not achieved which can cause negative possibilities like sour customer relations, failure or loss in business, money loss etc. Cost burden will also increase due to performance failures because of delays, deployment failure, redesigning or any last minute changes. Because of all these mentioned factors there is an urgent need of modeling and refactoring which can analyses the performance of the software at the early phase of cycle which can help in avoiding failure of the project.For this many model based techniques have been proposed. There is still need of improvement in the area of interpretation of results of performance analysis. Here we have proposed an approach which is validated with two cases: 1. E commerce system with UML 2. Business Reporting System

A Study on Financial Performance of Private and Public Banks in Afghanistan (2014–2017)

Banks are major players in financial sector and economy as a whole. Banks are creators of credit and mobilizers of savings which fuel investments and helps economy running. If banks are sick and are not performing well, then the whole economy would face challenges that might have great negative outcomes. In this paper we have tried to analyze financial performance of public and private sector banks in Afghanistan. This study is based on CAMEL approach which is a popular quantitative technique for financial performance analysis of banks base on different financial parameters. In this study the data for 4 years (2014–2017) has been evaluated and it has been found that almost base on all CAMEL parameters, private sector banks on average are performing far better than public sector banks. This study can be helpful for policy makers in government and also for banks to meet their shortcomings and improve their financial performance to meet the standards and requirements.

Behavior Analysis for Electronic Commerce Trading Systems: A Survey

With the rapid development of the Internet and the continuous progress of computer science and technology, Internet-based online trading has developed rapidly and improved the convenience of everyday life. Increasingly, people conduct business activities through online transactions and payment methods, and the development prospects for online transactions are quite broad. In addition, e-commerce trading systems have attracted considerable attention. Many studies have been conducted to analyze the behaviors of these systems. This paper focuses on analyzing both system behavior and user behavior in e-commerce trading systems. To reflect the characteristics of online trading systems, system behavior reflects the strength of the system, while user behavior reflects various user actions. Consistency, which is a basis for determining whether two objects are similar, provides a reference for designers and modelers. This paper also focuses on analyzing the consistency of system behavior, especially regarding the measurement and diagnosis of e-commerce trading systems. Then, we study the existing user behavior analysis methods for e-commerce trading systems. We divide user behaviors into four groups: web browsing behavior, keystroke behavior, network transaction behavior, and mobile terminal behavior. The performance and correlation analysis techniques of these methods are discussed and compared in detail. Finally, we provide ideas for future research involving behavior analysis for online trading systems.

A Systematic Methodology for Comprehensive Economic Assessment of Process Control Structures

The efficient operation of many modern industrial unit operations is a fine balancing act between the need to operate as close as possible to the optimal operating conditions and still having sufficient ability to overcome nonroutine process upsets. The need to balance these opposing requirements is most evident when assessing new process control structures for existing unit operations. While there are control performance analysis techniques and assessment methodologies available to assess control structures, these techniques and methodologies do not explicitly calculate the overall economic impact and are also complicated to use. In this manuscript, a novel, versatile methodology is proposed to systematically analyze the expected economic benefits of process control structures taking into consideration their overall impact on plant operations. It is a hierarchical systematic methodology that will identify opportunities to improve economic operations, identify relevant process control structures, and finally comprehensively quantify the overall economic benefits of implementing a new control structure versus current operations. This methodological approach employs net present value (NPV) to systematically assess the economic implications, while employing process safety/risk analysis concepts developed in the layer of protection analysis to translate process upset information and subsequent control actions into economic consequences that are then used in the NPV analysis. The methodology is then applied to a case study of a high purity methanol distillation unit located in an industrial methanol production plant, where two new process control alternatives were compared against the current operations. Through the case study, it is illustrated how the comprehensive economic information generated by the proposed method can aid an informed decision-making process.

Survey on Energy Efficient Routing Protocols by Clustering and Load balancing in Wireless Sensor Networks

Wireless Sensor Network (WSN) is consisting of nodes which deployed to sense the physical environment. In WSN there is excessive growth in performance evaluation and analysis techniques, because of fast development in Information and Communication Technologies (ICT). The main resource problem in WSN is the energy of sensor nodes. There is need of routing protocol which consumes less energy during communication. A reliable and robust routing protocol which limits the excess energy consumed by nodes during forwarding and receiving messages results in energy efficiency protocol. This survey work provides the advantages, drawbacks and comparison of five energy efficient routing protocols.

An enhanced framework for assessing the operational performance of public-private partnership school projects

PurposeA study of the current practices for evaluating the ex-post performance of public-private partnership (PPP) school projects in Australia via literature review and qualitative case studies has found that no consistent approach exists for evaluating operational performance. A detailed critique of international PPP audits and practices has identified existing gaps in ex-post performance evaluation. Through a process of comparative analysis and industry confirmation, a performance analysis technique aligned with international practice has been developed that can be utilised by the educational departments across Australia to evaluate the ex-post performance of PPP projects (PPPs). The paper aims to discuss these issues.Design/methodology/approachThis paper opted for qualitative archival analysis of case studies using pattern matching, explanation building, time series, and comparative analysis. The data used for document analysis included value reports, project summaries, and contract documents, as well as local and international audit guidelines.FindingsThis paper reviewed current practices, identified a range of processes, and reported the best practices. However, consideration of the approaches taken in the UK and Australia for evaluating operational performance indicates that current techniques lack consistency.Research limitations/implicationsThe developed ex-post performance measurement framework is limited to Australian PPP school projects and, at this stage, cannot be generalised to other social PPP projects.Practical implicationsThe paper includes implications for the development of better performance evaluation practices and audits.Social implicationsAn enhanced framework for measuring operational performance will increase the accountability of taxpayers in the content of their utilisation by the government.Originality/valueThis paper presents an enhanced ex-post performance measurement framework for education departments across Australia.

A hybrid performance analysis technique for distributed real-time embedded systems

It remains a challenging problem to tightly estimate the worst-case response time of an application in a distributed embedded system, especially when there are dependencies between tasks. Recently, a holistic worst-case response time analysis approach called scheduling time bound analysis has been proposed to find a tight upper bound of the worst-case response times of applications specified by a set of task graphs. Since it assumes that the starting offsets of applications are known and fixed, it fails to make a tight estimation despite increased computation time when the starting offsets are dynamic. To overcome this problem, we propose a novel conservative performance analysis, called hybrid performance analysis, combining the response time analysis technique and the scheduling time bound analysis technique to compute a tighter bound faster. The proposed scheme is proven to be conservative formally. Through extensive experiments with real-life benchmarks and synthetic examples, the superior performance of our proposed approach compared with previous methods is confirmed.