A Comparative Analysis of Software Engineering Approaches for Sequence Analysis

2013 ◽  
pp. 285-295
Author(s):  
Muneer Ahmad ◽  
Low Tang Jung ◽  
Noor Zaman
Keyword(s):  
Comparative Analysis ◽  
Software Engineering ◽  
Sequence Analysis ◽  
Optimal Solution ◽  
Sequence Matching ◽  
High Concentration ◽  
Future Expectations ◽  
Sequence Detection ◽  
Dna Sequence Alignment ◽  
Living Species

DNA is considered the building block of living species. DNA sequence alignment and analysis have been big challenges for the scientists for many years. This research presents a comparative analysis of state of the art software engineering approaches for sequence analysis, i.e. genome sequences in particular. Sequence analysis problems are NP hard and need optimal solutions. The underlying problems stated are duplicate sequence detection, sequence matching by relevance, and sequence analysis by approximate comparison in general and by using tools, i.e. Matlab and multi-lingual sequence analysis. The usefulness of these operations is also highlighted, and future expectations are described. The proposal describes the concepts, tools, methodologies, and algorithms being used for sequence analysis. The sequences contain the precious information that needs to be mined for useful purposes. There is high concentration required to model the optimal solution. The similarity and alignments concepts cannot be addressed directly with one technique or algorithm; a better performance is achieved by the comprehension of different concepts.

A Comparative Analysis of Software Engineering Approaches for Sequence Analysis

2014 ◽  
pp. 1093-1102
Author(s):  
Muneer Ahmad ◽  
Low Tang Jung ◽  
Noor Zaman
Keyword(s):  
Comparative Analysis ◽  
Software Engineering ◽  
Sequence Analysis ◽  
Optimal Solution ◽  
Sequence Matching ◽  
High Concentration ◽  
Future Expectations ◽  
Sequence Detection ◽  
Dna Sequence Alignment ◽  
Living Species

DNA is considered the building block of living species. DNA sequence alignment and analysis have been big challenges for the scientists for many years. This research presents a comparative analysis of state of the art software engineering approaches for sequence analysis, i.e. genome sequences in particular. Sequence analysis problems are NP hard and need optimal solutions. The underlying problems stated are duplicate sequence detection, sequence matching by relevance, and sequence analysis by approximate comparison in general and by using tools, i.e. Matlab and multi-lingual sequence analysis. The usefulness of these operations is also highlighted, and future expectations are described. The proposal describes the concepts, tools, methodologies, and algorithms being used for sequence analysis. The sequences contain the precious information that needs to be mined for useful purposes. There is high concentration required to model the optimal solution. The similarity and alignments concepts cannot be addressed directly with one technique or algorithm; a better performance is achieved by the comprehension of different concepts.

High-concentration time–frequency analysis for multi-component nonstationary signals based on combined multi-window Gabor transform

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiang Wang ◽  
Chen Meng ◽  
Cheng Wang
Keyword(s):  
Optimal Solution ◽  
Iteration Process ◽  
Perfect Reconstruction ◽  
Gabor Transform ◽  
Zak Transform ◽  
High Concentration ◽  
Content Type ◽  
Nonstationary Signals ◽  
Time Frequency ◽  
Optimization Function

PurposeThis study aims to reveal the essential characteristics of nonstationary signals and explore the high-concentration representation in the joint time–frequency (TF) plane.Design/methodology/approachIn this paper, the authors consider the effective TF analysis for nonstationary signals consisting of multiple components.FindingsTo make it, the authors propose the combined multi-window Gabor transform (CMGT) under the scheme of multi-window Gabor transform by introducing the combination operator. The authors establish the completeness utilizing the discrete piecewise Zak transform and provide the perfect-reconstruction conditions with respect to combined TF coefficients. The high-concentration is achieved by optimization. The authors establish the optimization function with considerations of TF concentration and computational complexity. Based on Bergman formulation, the iteration process is further analyzed to obtain the optimal solution.Originality/valueWith numerical experiments, it is verified that the proposed CMGT performs better in TF analysis for multi-component nonstationary signals.

scholarly journals Problems of modeling of complex technological systems of greenhouse production

2018 ◽  
Vol 226 ◽  
pp. 02020 ◽  
Author(s):  
Evgeniya P. Klyuchka ◽  
Viktor V. Radin ◽  
Leonid M. Groshev ◽  
Sergey I. Kambulov
Keyword(s):  
Energy Efficiency ◽  
Comparative Analysis ◽  
Optimal Solution ◽  
Technological Systems ◽  
Greenhouse Production ◽  
Technological Paradigm ◽  
Scale Models ◽  
Methodological Approaches ◽  
The Individual ◽  
High Level

The main problems connected with modelling of complex technological systems of greenhouse production are considered. The methodological approaches used at present on the basis of classical comparative analysis with subsequent heuristic conclusions are analysed. Based on the study of this issue, it was concluded that the development and implementation of innovative technologies that affect the individual subsystems of the greenhouse complex do not provide the optimal solution to improve the energy efficiency of the system as a whole. There is a need to create a new synergistic technological paradigm for abandoning costly full-scale models and developing models with a high level of adequacy of real technological processes.

Joint Scheduling of Jobs and Variable Maintenance Activities in the Flowshop Sequencing Problems: Review, Classification and Opportunities

2018 ◽  
Vol 39 ◽  
pp. 170-190 ◽  
Author(s):  
Assia Sadiqi ◽  
Ikram El Abbassi ◽  
Abdellah El Barkany ◽  
Ahmed El Biyaali
Keyword(s):  
Comparative Analysis ◽  
Literature Review ◽  
Optimal Solution ◽  
Scheduling Theory ◽  
Scheduling Problems ◽  
Calculation Time ◽  
Sequencing Problems ◽  
Maintenance Activities ◽  
Basic Concepts ◽  
Scheduling Strategies

Much of the scheduling theory assumes that machines are always available to process jobs at any time during the scheduling horizon. However, machines may be unavailable for various reasons in realistic practices, such as unexpected failures or variable maintenance activities. This article discusses in depth the works published in the literature of joint scheduling of jobs and variable maintenance activities in the flowshop sequencing problems. Our literature review focuses first on the basic concepts of scheduling problems, and more specifically, the scheduling strategies of production and maintenance that have been identified in the literature. Subsequently, we focus our attention on the principal methods for solving scheduling problems, while presenting in the following the main published works for the aforementioned systems. Lastly, a comparative analysis is carried out to highlight the fundamental ideas leading to the adoption of an effective approach capable of producing an optimal solution in a reasonable calculation time.

scholarly journals Validation of the Self-Assessment of Treatment Questionnaire among Patients with Postherpetic Neuralgia

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Kathleen W. Wyrwich ◽  
Ariane K. Kawata ◽  
Christine Thompson ◽  
Stefan Holmstrom ◽  
Malcolm Stoker ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Postherpetic Neuralgia ◽  
Factor Model ◽  
Short Form ◽  
Reliability And Validity ◽  
Optimal Solution ◽  
Measurement Properties ◽  
Mcgill Pain Questionnaire ◽  
High Concentration ◽  
Self Assessment

Introduction. A five-item Self-Assessment of Treatment (SAT) was developed to assess improvement and satisfaction with treatment associated with the application of a novel high concentration 8% capsaicin topical patch in clinical trials in patients with postherpetic neuralgia (PHN). This study evaluated the item performance and psychometric properties of the SAT. Methods. The SAT, Brief Pain Inventory, SF-36v2, Short-Form McGill Pain Questionnaire, and Patient and Clinician Global Impression of Change (PGIC; CGIC) scores were measured in two 12-week Phase 3 clinical trials. Factor analysis assessed the underlying factor structure, followed by examination of the reliability and validity of the multi-item domain. Results. Pooled data from 698 patients completing SAT after 12 weeks of treatment were analyzed. A one-factor model combining three of the five items emerged as the optimal solution. Internal consistency reliability of this treatment efficacy factor was high (Cronbach's alpha = 0.89). Construct validity was demonstrated by moderate to high correlations with change in other study endpoints. SAT mean scores consistently discriminated between patient change groups defined by PGIC and CGIC. Conclusions. The measurement properties of the three-item version of SAT are valid and reliable for assessment of treatment with a high concentration capsaicin patch among patients with PHN.

scholarly journals A study into the practice of reporting software engineering experiments

2021 ◽  
Vol 26 (6) ◽  
Author(s):  
Kate Revoredo ◽  
Djordje Djurica ◽  
Jan Mendling
Keyword(s):  
Software Engineering ◽  
Sequence Analysis ◽  
Mixed Method ◽  
Review Process ◽  
Relevant Information ◽  
Mixed Method Study ◽  
Analysis Techniques ◽  
Experimental Software Engineering ◽  
Experimental Software ◽  
Time Period

AbstractIt has been argued that reporting software engineering experiments in a standardized way helps researchers find relevant information, understand how experiments were conducted and assess the validity of their results. Various guidelines have been proposed specifically for software engineering experiments. The benefits of such guidelines have often been emphasized, but the actual uptake and practice of reporting have not yet been investigated since the introduction of many of the more recent guidelines. In this research, we utilize a mixed-method study design including sequence analysis techniques for evaluating to which extent papers follow such guidelines. Our study focuses on the four most prominent software engineering journals and the time period from 2000 to 2020. Our results show that many experimental papers miss information suggested by guidelines, that no de facto standard sequence for reporting exists, and that many papers do not cite any guidelines. We discuss these findings and implications for the discipline of experimental software engineering focusing on the review process and the potential to refine and extend guidelines, among others, to account for theory explicitly.

scholarly journals Comparative analysis of cylindrical and planar aesa in 3d suveillance radar.

2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Dragan Paunović ◽  
Keyword(s):  
Comparative Analysis ◽  
Vertical Plane ◽  
Optimal Solution ◽  
Main Beam ◽  
Advantages And Disadvantages ◽  
Near Zone ◽  
Constant Shape ◽  
Mechanical Rotation ◽  
Original Configuration ◽  
Selection Of

A modern rotating 3D surveillance radars scan azimuth by mechanical rotation, and scan elevation using Active Electronic Scanning Array (AESA) in Multi Beam Receive Mode (MBM). Radars with fixed cylindrical AESA and four-sided prismatic antenna, with 4 flat AESA, scan azimuth electronically, without mechanical rotation. The most significant advantage of electronic scanning is the possibility of Multi-mode operation: surveillance targets in the far zone and targeting targets in the near zone. However, electronic scanning also brings problems. A main beam of planar AESA spreads and lateral lobes increase when the radiating direction increases. An original arrangement of shifted array to reduce lateral lobes has been proposed. The cylindrical array has a constant shape of pattern during azimuth scanning. But, for both prismatic and cylindrical AESA, the beam deforms during scanning in vertical plane, so limits the elevation scan. Also, the complexity and price of fixed AESA is significantly higher compared to the rotating one. In order to enable the selection of the optimal solution for a specific application, the comparative analysis of advantages and disadvantages for cylindrical, prismatic and rotating AESA is done. The original configuration of the cylindrical AESA for Very Fast Scanning in Near-zone has been proposed.

scholarly journals ANALYSIS OF THE CAPABILITIES OF MOBILE AGILE SOLUTIONS FOR EFFECTIVE PROJECT ACTIVITIES

2021 ◽  
pp. 98-105
Author(s):  
Vladimir O. Domansky ◽  
◽  
Olga V. Tarkhanova ◽  
Maxim D. Pelevin ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Small Groups ◽  
Optimal Solution ◽  
Successful Implementation ◽  
Wide Range ◽  
Analytical Work ◽  
Functional Solution

Nowadays various tools for the successful implementation of projects are used. A set of Agile, Scrum, and Kanban methodologies helps us effectively plan, evaluate, work, communicate and make decisions. Modern software containing a wide range of functionality and flexibility of interface settings helps to visualize the project progress as one of the most important tasks. The aim of the work is to find the most flexible and functional solution for the project activities of small groups. Various solutions for effective teamwork are considered. The article contains the results of a comparative analysis of the Agile tools functionality presented on the market. Result of this analytical work is a set of options for collaboration optimal solution.

scholarly journals A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection

2021 ◽  
Vol 23 (2) ◽  
pp. 1146
Author(s):  
Noor Syahirah Nordin ◽  
Mohd Arfian Ismail ◽  
Tole Sutikno ◽  
Shahreen Kasim ◽  
Rohayanti Hassan ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Cyber Security ◽  
Fuzzy System ◽  
Optimal Solution ◽  
Optimization Method ◽  
Complex Problem ◽  
Attack Detection ◽  
Metaheuristic Algorithms ◽  
Metaheuristic Algorithm ◽  
Fuzzy Modelling

<div>Phishing attack is a well-known cyber security attack that happens to many people around the world. The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. One of the methods is applying fuzzy system. Fuzzy system is a rule-based system that utilize fuzzy sets and fuzzy logic concept to solve problems. However, it is hard to achieve optimal solution when applied to complex problem where the process of identify the fuzzy parameter becomes more complicated. To cater this issue, an optimization method is needed to identify the parameter of fuzzy automatically. The optimization method derives from the metaheuristic algorithm. Therefore, the aim of this study is to make a comparative analysis between the metaheuristic algorithms in fuzzy modelling. The study was conducted to analyse which algorithm performed better when applied in two datasets: website phishing dataset (WPD) and phishing websites dataset (PWD). Then the results were obtained to show the performance of every metaheuristic algorithm in terms of convergence speed and four metrics including accuracy, recall, precision, and f-measure. </div>

Sign in / Sign up

Export Citation Format

Share Document