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Pérez Tadeo, María, Martin Gammell, and Joanne O'Brien. "First Steps towards the Automated Detection of Underwater Vocalisations of Grey Seals (Halichoerus grypus) in the Blasket Islands, Southwest Ireland." Journal of Marine Science and Engineering 11, no. 2 (February 4, 2023): 351. http://dx.doi.org/10.3390/jmse11020351.
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Underwater vocalisations of grey seals (Halichoerus grypus) were recorded by static acoustic monitoring (SM2M, Wildlife Acoustics) in the vicinity of a colony located at White Strand beach on Great Blasket Island, southwest Ireland during the pre-breeding and breeding seasons. Grey seal vocalisations were first classified across nine different categories based on aural and visual characteristics of the spectrograms, providing an acoustic repertoire for grey seals. This classification was further investigated by applying a classification tree analysis, resulting in five of the initial nine groups being selected. Furthermore, a comparison of two common approaches for the detection and extraction of vocalisations from acoustic files was done using the software Raven Pro and PAMGuard. The outputs of this study will present an essential first step towards the development of a protocol for underwater acoustic monitoring of grey seals in Irish waters and elsewhere.
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Idris, Mohd Sobri, and Rozana A. M. Osman. "Structure Refinement Strategy of Li-Based Complex Oxides Using GSAS-EXPGUI Software Package." Advanced Materials Research 795 (September 2013): 479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.795.479.
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This paper discussed refinement strategy that been used to reveal crystallographic properties of lithium-based complex oxides with layered rock salt structure. Rietveld analysis using XRD data was used to determine the amount of interlayer mixing and estimate oxygen contents. The structural model and refinement methodology was controlled and validated initially using a standard sample. Thus, this paper summarized structure refinement strategy that been used to quantify the degree of cation order associated with interlayer mixing and investigate the sensitivity of laboratory XRD data to oxygen non-stoichiometry that recently published elsewhere [.
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Biable, Seblewongel Esseynew, Nuno Manuel Garcia, Dida Midekso, and Nuno Pombo. "Ethical Issues in Software Requirements Engineering." Software 1, no. 1 (February 18, 2022): 31–52. http://dx.doi.org/10.3390/software1010003.
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Context: Ethics have broad applications in different fields of study and different contexts. Like other fields of study, ethics have a significant impact on the decisions made in computing concerning software artifact production and its processes. Hence, in this research, ethics is considered in the context of requirements engineering during the software development process. Objective: The aim of this paper is to discuss the investigation results regarding ethical problems of requirements engineering processes by taking sample software developing companies and exposing existing research gaps. Method: This research uses interviewing, focus group discussions, purposive sampling, and qualitative analysis research methods. Result: This research finds an absence of industry practices, professional responsibility code of conduct standards, and other guidelines within companies when integrating ethical concerns of software during requirements engineering. It also indicates that almost all companies have no identification methods and checking mechanisms for ethical concern considerations. Furthermore, the major identified ethical concerns are classified into six categories as requirements identification problems, quality-related problems, carrying out unpermitted activities, unwillingness to give requirements, knowledge gaps and lack of legal grounds/rules for accountability. Conclusion: From the findings of this research, it can be concluded that, in the case software companies, there is no specific method for identifying ethical concerns. Additionally, there are no standards and guidelines used within the companies. This implies the need to overcome the existing and emerging ethical issues of requirements engineering.
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Teaff, James K., Bobbi Young, and Paul Clements. "Applying Feature‐Based Systems and Software Product Line Engineering in Unclassified and Classified Environments." INCOSE International Symposium 29, no. 1 (July 2019): 269–83. http://dx.doi.org/10.1002/j.2334-5837.2019.00603.x.
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Vorontsova, U. A. "Forming and translating English neologisms in the software engineering field." ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ 74, no. 4 (2021): 72–78. http://dx.doi.org/10.18411/lj-06-2021-141.
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The article is devoted to defining the peculiarities and focus of translating English neologisms in the software engineering terminology. As part of the study the role of vocabulary is explored, the features of neologism derivations are classified; the main methods of their interpreting into Russian are examined, the ways of neologism word-building in the software engineering terminology are identified and the most frequent interlingual transformations used in conveying their meaning into Russian are determined. Results of the study reveal that the majority of neologisms are formed predominantly by stem-composition and affixation and the most common method of translating neologisms in the software engineering terminology is the loan-translation, transcription and translation method, grammatical substitutions and descriptive translation.
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MENOLLI, ANDRE, SHEILA REINEHR, and ANDREIA MALUCELLI. "ORGANIZATIONAL LEARNING APPLIED TO SOFTWARE ENGINEERING: A SYSTEMATIC REVIEW." International Journal of Software Engineering and Knowledge Engineering 23, no. 08 (October 2013): 1153–75. http://dx.doi.org/10.1142/s0218194013500356.
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Organizational learning assists the companies to improve significantly their processes by means of experiences reuse, making knowledge accessible to the whole organization. In software engineering it is important that the acquired knowledge is stored and systematically reused. This paper aims to present a systematic review, by identifying in which software engineering areas are the organizational learning studies concentrated, and how the organizational learning concepts are being applied in software engineering. This systematic review identified 2496 papers. After eliminating the duplicate titles and those not related to the review, 1184 papers remained. Applying the exclusion criteria, the number of papers was reduced to 68. These papers were analyzed and classified according to the software engineering areas defined in the SWEBOK, and the main organizational learning theories and techniques. It was observed that many software engineering researches apply organizational learning concepts without being aware of it.
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Martínez-Fernández, Silverio, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, and Stefan Wagner. "Software Engineering for AI-Based Systems: A Survey." ACM Transactions on Software Engineering and Methodology 31, no. 2 (April 30, 2022): 1–59. http://dx.doi.org/10.1145/3487043.
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AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image-, speech-recognition, and autonomous driving). AI-based systems are becoming pervasive in society due to advances in AI. However, there is limited synthesized knowledge on Software Engineering (SE) approaches for building, operating, and maintaining AI-based systems. To collect and analyze state-of-the-art knowledge about SE for AI-based systems, we conducted a systematic mapping study. We considered 248 studies published between January 2010 and March 2020. SE for AI-based systems is an emerging research area, where more than 2/3 of the studies have been published since 2018. The most studied properties of AI-based systems are dependability and safety. We identified multiple SE approaches for AI-based systems, which we classified according to the SWEBOK areas. Studies related to software testing and software quality are very prevalent, while areas like software maintenance seem neglected. Data-related issues are the most recurrent challenges. Our results are valuable for: researchers, to quickly understand the state-of-the-art and learn which topics need more research; practitioners, to learn about the approaches and challenges that SE entails for AI-based systems; and, educators, to bridge the gap among SE and AI in their curricula.
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OSSOWSKI, SASCHA, and ANDREA OMICINI. "Coordination knowledge engineering." Knowledge Engineering Review 17, no. 4 (December 2002): 309–16. http://dx.doi.org/10.1017/s0269888903000596.
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By adopting a structured knowledge-level approach, coordination knowledge can be ascribed to groups (societies) of system components (agents) as a whole, rather than to individuals, in order to effectively rationalise complex patterns of interaction within intelligent (multi-agent) systems. Be it either explicitly represented at the symbol-level or hard-coded within specific coordination algorithms, coordination knowledge is instrumented by a wide and heterogeneous variety of coordination models, abstractions and technologies. Coordination knowledge engineering is then about eliciting, modelling and instrumenting coordination knowledge in a principled and effective manner.In this introductory article, we briefly review two well-known frameworks to conceptualise coordination, then we discuss different dimensions along which coordination models can be classified, and analyse their impact on the design of coordination mechanisms and their supporting coordination knowledge. Finally, we sketch our view on coordination knowledge engineering and introduce the different contributions to this special issue along this line.
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Noor-ul-huda, Muhammad, Samabia Tehsin, Sairam Ahmed, Fuad A. K. Niazi, and Zeerish Murtaza. "Retinal images benchmark for the detection of diabetic retinopathy and clinically significant macular edema (CSME)." Biomedical Engineering / Biomedizinische Technik 64, no. 3 (May 27, 2019): 297–307. http://dx.doi.org/10.1515/bmt-2018-0098.
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Abstract Diabetes mellitus is an enduring disease related with significant morbidity and mortality. The main pathogenesis behind this disease is its numerous micro- and macrovascular complications. In developing countries, diabetic retinopathy (DR) is one of the major sources of vision impairment in working age population. DR has been classified into two categories: proliferative diabetic retinopathy (PDR) and non-proliferative diabetic retinopathy (NPDR). NPDR is further classified into mild, moderate and severe, while PDR is further classified into early PDR, high risk PDR and advanced diabetic eye disease. DR is a disease caused due to high blood glucose levels which result in vision loss or permanent blindness. High-level advancements in the field of bio-medical image processing have speeded up the automated process of disease diagnoses and analysis. Much research has been conducted and computerized systems have been designed to detect and analyze retinal diseases through image processing. Similarly, a number of algorithms have been designed to detect and grade DR by analyzing different symptoms including microaneurysms, soft exudates, hard exudates, cotton wool spots, fibrotic bands, neovascularization on disc (NVD), neovascularization elsewhere (NVE), hemorrhages and tractional bands. The visual examination of the retina is a vital test to diagnose DR-related complications. However, all the DR computer-aided diagnostic systems require a standard dataset for the estimation of their efficiency, performance and accuracy. This research presents a benchmark for the evaluation of computer-based DR diagnostic systems. The existing DR benchmarks are small in size and do not cover all the DR stages and categories. The dataset contains 1445 high-quality fundus photographs of retinal images, acquired over 2 years from the records of the patients who presented to the Department of Ophthalmology, Holy Family Hospital, Rawalpindi. This benchmark provides an evaluation platform for medical image analysis researchers. Furthermore, it provides evaluation data for all the stages of DR.
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Ziari, Hasan, and Mohammed M. Khabiri. "APPLIED GIS SOFTWARE FOR IMPROVING PEDESTRIAN amp;BICYCLE SAFETY." TRANSPORT 20, no. 4 (August 30, 2005): 160–64. http://dx.doi.org/10.3846/16484142.2005.9638014.
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People are important in towns. They are the foundation of the social and economic processes that drive the urban system and sustain the urban fabric. While people spend much of their time inside buildings ‐ at home, at work, and at play ‐ it is the movement of people, whether in vehicles or on foot, that is indicative of the vibrancy of the town. Comfort and safety are important for people movement. The crash data in cities, provinces started with the Traffic Organization of Inner Ministry looking at access management controls on functionally classified streets. Safety is a driving factor in access management and the crash reports are the best indicator of the lack of safe roads. This paper presents the development and findings of crash data from police reports and how they are being used in Geographic Information System (GIS). This tool generates a contour map identifying areas of high crash occurrence determined by crash density and clusters of crashes involving pedestrians or bicyclists. Summary statistics of the selected zones can be generated and displayed in a table or chart form.
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Kodubets, A. A., and I. L. Artemieva. "Requirements Engineering for Software Systems: A Systematic Literature Review." Programmnaya Ingeneria 12, no. 7 (October 11, 2021): 339–49. http://dx.doi.org/10.17587/prin.12.339-349.
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This article contains a systematic literature review of requirements engineering for software systems. The literature published within last 5 years was included into the review. A research question was defined as requirements development process of large scale software system (with thousands of requirements) and an interaction problem during this process (communication, coordination and control). The problem is caused by the fact that large-scale software system requirements process is a cross-disciplinary task and it involves multiple parties — stakeholders, domain experts, and suppliers with own goals and constrains, and thus, the interaction between them seriously slows down the overall requirements development process than writing the requirements specification itself. The research papers were classified by several research directions: Natural Language Processing for Requirements Engineering (NLP4RE), Requirement Prioritization, Requirements Traceability, Quality of Software Requirements, Non-functional Requirements and Requirements Elicitation. Motivation and intensity of each direction was described. Each direction was structured and represented with the key references. A contribution of each research direction into the research question was analyzed and summarized including potential further steps. It was identified that some researchers had met a part of the described problem in different forms during their researches. At the end, other researches were described additionally in a short overview. To approach the research question further potential direction was described.
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Kamthan, Pankaj. "On the Nature of Collaborations in Agile Software Engineering Course Projects." International Journal of Quality Assurance in Engineering and Technology Education 5, no. 2 (April 2016): 42–59. http://dx.doi.org/10.4018/ijqaete.2016040104.
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If there is a constant in software development, then it is that its ecosystem is a variable. The agile methodologies are part of a relatively recent shift from predictive to adaptive approach towards software development. This change has had a notable impact on software engineering education (SEE). In this article, a glimpse into the state-of-the-art of incorporating agile methodologies in software engineering courses is presented. In doing so, the reasons for including a project component in software engineering courses, and for committing to agile methodologies in software engineering projects in those courses, are given. The significance of collaboration in the execution of agile methodologies, in general, is underscored, and the pivotal role of collaboration in agile course projects, in particular, is emphasized. To lend an understanding to the notion of collaboration in agile methodologies, a conceptual model for collaboration is proposed and elaborated. The types of collaborations that can occur in agile course projects are classified and discussed. The use technological means for facilitating collaboration, including the Social Web and especially the Wiki, is highlighted.
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Liu, Jun, Yan Qian, and Ya Wen An. "The Research on Classified Construction Mode of Manufacturing Enterprise Logistics Informatization." Advanced Materials Research 694-697 (May 2013): 3492–97. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3492.
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Logistics informatization construction is vital to development of manufacturing enterprises. Choosing appropriate logistics informatization construction mode can make manufacturing enterprise save investment under the premise of ensuring their business requirements. Firstly, the paper divided manufacturing enterprises into process manufacturing enterprises, discrete manufacturing enterprises and hybrid manufacturing enterprises in accordance with the organization way of the production process; according to the scale they can be divided into micro-manufacturing enterprises, small and medium sized manufacturing enterprises and large (including group) manufacturing enterprises. Then summed up the main logistics informatization mode and generalized the construction mode of logistics informationization as follows: purchasing commercial software mode, enterprise independent development mode, outsourcing development mode, leasing mode and cooperative development mode. Finally studied different types of manufacturing enterprises should adopt what kind of construction mode of logistics informationization.
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Ciulla, Carlo. "Theory and Applications of Fourier, Laplace, and Z Transformations." Journal of CIEES 2, no. 1 (July 26, 2022): 32–43. http://dx.doi.org/10.48149/jciees.2022.2.1.6.
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This study presents the mathematics for the implementation of direct and inverse Fourier, Laplace, and Z transformations. This research is at the intersection between signal processing, applied mathematics, and software engineering, and it provides a study guide to implementers. Mathematical concepts and details necessary to transform the math into code are provided as theoretical background. Validation is conducted for the cases when the transforms do intersect, when the transforms do not intersect, and when, in Fourier and Z-transformations, the frequency domain encodes a phase shift which is reconstructed as an image space shift. Coherence between the software implementation of the three transformations is confirmed when: 1. The real component of the complex variable s = σ + i ω is σ = 0, which is the case when Fourier and Laplace transforms are the same. 2. When the magnitude of the complex variable z = r e jω is r = 1, which is the case when Fourier and Z transforms are the same. Congruency between software implementation of transformations is confirmed comparing departing image and inverse reconstructed image. The novelty of this research is the presentation style of the theory of direct and inverse Fourier, Laplace, and Z transforms. Details provided in this research make this paper a study guide that is not found elsewhere.
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Cichos, Daniel, Patrick Kölsch, and Jan Christian Aurich. "Concept for Planning and Controlling of Multiple, Parallel Engineering Changes in Manufacturing Systems." Advanced Materials Research 1140 (August 2016): 497–504. http://dx.doi.org/10.4028/www.scientific.net/amr.1140.497.
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Manufacturing companies have to adapt existing factories due to changing customer demands and new technologies. The coordination of several engineering changes in manufacturing systems is a key factor for the efficiency of their implementation. In this paper, a concept for planning and controlling of multiple engineering changes is presented. The concept includes the preselection, planning and execution of engineering changes. The engineering changes can be classified with regard to their relevance and urgency. The needed work steps for the implementation are deduced from the software-based planning and the time schedule for the work steps is created. The work steps are monitored while executing and events are initiated, if necessary. The concept is implemented in a software demonstrator and validated through this software.
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Bisio, G. "Exergy Analysis of Thermal Energy Storage With Specific Remarks on the Variation of the Environmental Temperature." Journal of Solar Energy Engineering 118, no. 2 (May 1, 1996): 81–88. http://dx.doi.org/10.1115/1.2848020.
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Energy storage is a key technology for many purposes and in particular for air conditioning plants and a successful exploitation of solar energy. Thermal storage devices are usually classified as either variable temperature (“sensible heat”) or constant temperature (“latent heat”) devices. For both models a basic question is to determine the efficiency suitably: Only exergy efficiency appears a proper way. The aim of this paper is to examine exergy efficiency in both variable and constant temperature systems. From a general statement of exergy efficiency by the present author, two types of actual definitions are proposed, depending on the fact that the exergy of the fluid leaving the thermal storage during the charge phase can be either totally lost or utilized elsewhere. In addition, specific remarks are made about the exergy of a system in a periodically varying temperature environment.
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Ņikiforova, Oksana, Kristaps Babris, and Linda Madelāne. "Expert Survey on Current Trends in Agile, Disciplined and Hybrid Practices for Software Development." Applied Computer Systems 26, no. 1 (May 1, 2021): 38–43. http://dx.doi.org/10.2478/acss-2021-0005.
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Abstract Every software development company makes software development based on a specific approach. There are a number of approaches to software development, both disciplined and agile. Each approach includes a set of different activities. Sometimes, the specific nature of a company’s work requires a specific approach, but the need to make work more efficient, faster and better requires implementing activities of other approaches. Then hybrid software development approaches come in. The paper presents an expert survey to examine the most important software development activities, the combinations of development approaches that are used in software development processes and the way of upgrading existing approaches. The evaluated activities of software development process are classified according to their nature – whether they correspond with a team, organisation, documentation, development, and testing. The conclusions are also made on the practices that are required most – disciplined, Agile or hybrid.
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Farid, A. M., and D. C. McFarlane. "Production degrees of freedom as manufacturing system reconfiguration potential measures." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (October 1, 2008): 1301–14. http://dx.doi.org/10.1243/09544054jem1056.
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In recent years, many design approaches have been developed for automated manufacturing systems in the fields of reconfigurable manufacturing systems (RMSs), holonic manufacturing systems (HMSs), and multi-agent systems (MASs). One of the principle reasons for these developments has been to enhance the reconfigurability of a manufacturing system, allowing it to adapt readily to changes over time. However, to date, reconfigurability assessment has been limited. Hence, the efficacy of these design approaches remains inconclusive. This paper is the first of two in this issue to address reconfigurability measurement. Specifically, it seeks to address ‘reconfiguration potential’ by analogy. Mechanical degrees of freedom have been used in the field of mechanics as a means of determining the independent directions of motion of a mechanical system. By analogy, manufacturing degrees of freedom can be used to determine independent ways of production. Furthermore, manufacturing degrees of freedom can be classified into their production and product varieties. This paper specifically focuses on the former to measure the product-independent aspects of manufacturing system ‘reconfiguration potential’. This approach will be added to complementary work on the measurement of ‘reconfiguration ease’ so as to form an integrated reconfigurability measurement process described elsewhere [1—5].
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Chen, Guo Qiang, and Jun Wei Zhao. "Application and Implementation of Monte Carlo Method in Mechanical Engineering." Applied Mechanics and Materials 26-28 (June 2010): 925–30. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.925.
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As a powerful tool for scientific research, Monte Carlo simulation has been utilized widely in mechanical engineering for a long time. The paper reviews the application in statistical tolerance analysis, reliability design and analysis, uncertainty analysis in mechanical measurement, robot error, position and attitude analysis, and optimum design. The implementation of Monte Carlo method is also discussed and classified into three types: using Monte Carlo simulation software directly, programming in the development environment with random number generator, and programming from the basic random number generation. Finally, the authors points out using Monte Carlo software directly is recommend because the engineer needn’t concern the detail of the complex computation and can pay more attention to the purpose of the mechanical application.
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Guo, Jun, Xin Ya Song, Yun Sheng Wang, Xian Li Li, and Bin Zhang. "The Rejuvenation Queue Construction and Strategy Research for Related Web Services." Advanced Materials Research 171-172 (December 2010): 688–91. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.688.
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The problem of software aging widely exists in long-running software system, and the solution is software rejuvenation. Traditional software rejuvenation strategy has some deficiencies in solving the software aging problems of web services, for example, the higher failure rate and the poorer stability. Therefore, considering web services may have the correlation, at first we classified web service relationship and analyzed the relationship of web services by using the association mining algorithm; secondly we established and continuously fixed the aging model of web services by using the error back-propagation network to calculate the aging weights of web services. On this basis, based on the analysis of web services’ priority, call frequency and aging states, we calculated the rejuvenation cost, constructed the rejuvenation queue, and proposed an adaptive rejuvenation strategy of related web services. The experiment result showed that, compared with traditional regeneration strategy, this strategy improved the stability and dependability of web services.
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Liu, Shen Ru, Hui Zhu Yang, Zhi Guo Chang, and Qi Lin Zhang. "Integrated CAD Software with ERP Interface for Steel Portal Frames." Advanced Materials Research 139-141 (October 2010): 2136–39. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2136.
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Steel portal frames have been widely designed and constructed in China since the end of the last century, and in recent years ERP management software systems have been used by more and more steel structure fabricators/constructors. This paper introduces the program principles and techniques of the development of integrated CAD software with ERP interface for the detailing design of steel portal frame structure, including the frame work, data structure, 3D modeling algorithm and automatic output of 2D drawings/ERP source data. In the system, steel members and connectors are modeled and visualized as 3D objects. All information, involving geometry, material, manufacturing, fabrication, installation, ERP data requirements and so on, are embedded in these 3D objects for the purpose of parametric modeling and subsequent data output. 3D solid model acts as the kernel of the system. Connectors of joints are classified and organized by way of logic hierarchy, 3D model of joint are assembled abide by the structural and geometric dependency relationship between connectors. The ERP data interface is embedded in the system. The raw data are directly extracted from the 3D model, then formatted and fed to certain ERP system.
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Matthews, Peter C. "Pathological Habit Disorder?" Canadian Journal of Psychiatry 33, no. 9 (December 1988): 826–29. http://dx.doi.org/10.1177/070674378803300908.
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This paper outlines a diagnostic entity called ‘Pathological Habit Disorder’ which is suggested for inclusion in the DSM as an Axis II option. Specific areas of concern, either mental (Axis I) or physical (Axis III), would delineate the syndrome. Pathological Habit Disorder (PHD) points to treatment options where the syndrome is wholly or partly habit-driven. Whether the syndrome is habit-driven or not will remain a clinical judgement even though many conditions, previously thought immutable except by medication, are proving accessible to behavioural engineering. In the ICD system, PHD seems to fit in “Special Symptoms or Syndromes not elsewhere Classified”. It is demonstrably useful to have a diagnosis such as PHD and to incorporate it into the body of medical classification, recognizing current practices for dealing with unwelcome or damaging habits.
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Haris, M. Syauqi, Tri Astoto Kurniawan, and Fatwa Ramdani. "Automated Features Extraction from Software Requirements Specification (SRS) Documents as The Basis of Software Product Line (SPL) Engineering." Journal of Information Technology and Computer Science 5, no. 3 (December 31, 2020): 279. http://dx.doi.org/10.25126/jitecs.202053219.
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Extractive Software Product Line Engineering (SPLE) puts features on the foremost aspect in domain analysis that needs to be extracted from the existing system's artifact. Feature in SPLE, which is closely related to system functionality, has been previously studied to be extracted from source code, models, and various text documents that exist along the software development process. Source code, with its concise and normative standard, has become the most focus target for feature extraction source on many kinds of research. However, in the software engineering principle, the Software Requirements Specification (SRS) document is the basis or main reference for system functionality conformance. Meanwhile, previous researches of feature extraction from text document are conducted on a list of functional requirement sentences that have been previously prepared, not literally SRS as a whole document. So, this research proposes direct processing on the SRS document that uses requirement boilerplates for requirement sentence statement. The proposed method uses Natural Language Processing (NLP) approach on the SRS document. Sequence Part-of-Speech (POS) tagging technique is used for automatic requirement sentence identification and extraction. The features are acquired afterward from extracted requirement sentences automatically using the word dependency parsing technique. Besides, mostly the previous researches about feature extraction were using non-public available SRS document that remains classified or not accessible, so this work uses selected SRS from publicly available SRS dataset to add reproducible research value. This research proves that requirement sentence extraction directly from the SRS document is viable with precision value from 64% to 100% and recall value from 64% to 89%. While features extraction from extracted requirement sentences has success rate from 65% to 88%.
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Yang, Hongyu, and Ruiwen Tang. "Power Consumption Based Android Malware Detection." Journal of Electrical and Computer Engineering 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/6860217.
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In order to solve the problem that Android platform’s sand-box mechanism prevents security protection software from accessing effective information to detect malware, this paper proposes a malicious software detection method based on power consumption. Firstly, the mobile battery consumption status information was obtained, and the Gaussian mixture model (GMM) was built by using Mel frequency cepstral coefficients (MFCC). Then, the GMM was used to analyze power consumption; malicious software can be classified and detected through classification processing. Experiment results demonstrate that the function of an application and its power consumption have a close relationship, and our method can detect some typical malicious application software accurately.
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Roesner, L. A., and E. H. Burgess. "The Role of Computer Modeling in Combined Sewer Overflow Abatement Planning." Water Science and Technology 26, no. 7-8 (October 1, 1992): 1831–40. http://dx.doi.org/10.2166/wst.1992.0627.
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Increased concern regarding water quality impacts from combined sewer overflows (CSOs) in the U.S. and elsewhere has emphasized the role of computermodeling in analyzing CSO impacts and in planning abatement measures. These measures often involve the construction of very large and costly facilities, and computer simulation during plan development is essential to cost-effective facility sizing. An effective approach to CSO system modeling focuses on detailed hydraulic simulation of the interceptor sewers in conjunction with continuous simulation of the combined sewer system to characterize CSOs and explore storage-treatment tradeoffs in planning abatement facilities. Recent advances in microcomputer hardware and software have made possible a number of new techniques which facilitate the use of computer models in CSO abatement planning.
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Chandra, C., and C. V. Ramamoorthy. "An Evaluation of Knowledge Engineering Approaches to the Maintenance of Evolutionary Software." International Journal of Software Engineering and Knowledge Engineering 08, no. 01 (March 1998): 3–20. http://dx.doi.org/10.1142/s0218194098000030.
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Reverse engineering and reengineering are two major research challenges in the software maintenance process. Reverse engineering is the process of rederiving the specification of a program; and reengineering is the process of modifying an already existing software to add additional functionalities or to correct any malfunction. The difficulty in these tasks are that software development commonly involves many software engineers with implicit assumptions about the behavior of each module. These assumptions are not documented and often leads to inconsistencies in the code. During reverse engineering, such assumptions may not be uncovered. These assumptions usually have complex dependencies, and are the cause of a lot of bugs when the software is reengineered. Many approaches and prototype tools have been developed to address these issues. Reverse engineering and automated program understanding tools have been developed to support the reverse engineering tasks; while various theoretical works on structural program analysis and programs for automated ripple effect analysis have attempted to deal with the reengineering process. These works can be classified into two main types of approaches: those using shallow knowledge or knowledge about the structure of the system and those utilizing deep knowledge or knowledge about the semantics and behavior of the software system. In this paper, we attempt to survey works that have been done under these two broad categories of approaches to deal with the software maintenance tasks, evaluate the strengths and drawbacks of each approach, and attempt to draw a conclusion on the advantages and disadvantages of the two main lines of approaches.
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Peachey, Tom, Elena Mashkina, Chong-Yong Lee, Colin Enticott, David Abramson, Alan M. Bond, Darrell Elton, David J. Gavaghan, Gareth P. Stevenson, and Gareth F. Kennedy. "Leveraging e-Science infrastructure for electrochemical research." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1949 (August 28, 2011): 3336–52. http://dx.doi.org/10.1098/rsta.2011.0146.
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As in many scientific disciplines, modern chemistry involves a mix of experimentation and computer-supported theory. Historically, these skills have been provided by different groups, and range from traditional ‘wet’ laboratory science to advanced numerical simulation. Increasingly, progress is made by global collaborations, in which new theory may be developed in one part of the world and applied and tested in the laboratory elsewhere. e-Science, or cyber-infrastructure, underpins such collaborations by providing a unified platform for accessing scientific instruments, computers and data archives, and collaboration tools. In this paper we discuss the application of advanced e-Science software tools to electrochemistry research performed in three different laboratories – two at Monash University in Australia and one at the University of Oxford in the UK. We show that software tools that were originally developed for a range of application domains can be applied to electrochemical problems, in particular Fourier voltammetry. Moreover, we show that, by replacing ad-hoc manual processes with e-Science tools, we obtain more accurate solutions automatically.
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YANG, Xu, De XU, Songhe FENG, Yingjun TANG, and Shuoyan LIU. "Scene Categorization with Classified Codebook Model." IEICE Transactions on Information and Systems E94-D, no. 6 (2011): 1349–52. http://dx.doi.org/10.1587/transinf.e94.d.1349.
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Bergadano, F., and D. Gunetti. "Learning relations and logic programs." Knowledge Engineering Review 9, no. 1 (March 1994): 73–77. http://dx.doi.org/10.1017/s0269888900006615.
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Inductive Logic Programming (ILP) is an emerging research area at the intersection of machine learning, logic programming and software engineering. The first workshop on this topic was held in 1991 in Portugal (Muggleton, 1991). Subsequently, there was a workshop tied to the Future Generation Computer System Conference in Japan in 1992, and a third one in Bled, Slovenia, in April 1993 (Muggleton, 1993). Ideas related to ILP are also appearing in major AI and machine learning conferences and journals. Although European-based and mainly sponsored by ESPRIT, ILP aims at becoming equally represented elsewhere; for example, among researchers in America who are investigating relational learning and first order theory revision (see, for example, the papers in Birnbaum and Collins, 1991) and within the computational learning theory community. This year's IJCAI workshop on ILP is a first step in this direction, and includes recent work with a broader range of perspectives and techniques.
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Siska, Juraj J., Charles R. Hurburgh, and Peter P. Siska. "The Impact of Instrument Engineering Parameters on Spectral Reproducibility across Filter Instruments." Journal of Near Infrared Spectroscopy 9, no. 2 (March 2001): 97–105. http://dx.doi.org/10.1255/jnirs.296.
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This paper explores the role of instrument engineering parameters in master–slave optical differences. Engineering parameters with significant ( p = 0.05) impact were classified into three groups according to the magnitude of their influence (analysis of variance mean squares) on optical differences. The only parameter with high influence was preamplifier gain. Filter area, filter bandwidth, detector temperature, idle filter wheel temperature, sample temperature and optics unit differences exerted medium impact. There were seven properties with low but still significant impact. Software was developed to aid users and manufacturers in selecting optical standardisation and in diagnosing instrument differences.
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Kulkarni, Dr R. N., and C. K. Srinivasa. "Novel approach to transform UML Sequence diagram to Activity diagram." Journal of University of Shanghai for Science and Technology 23, no. 07 (July 26, 2021): 1247–55. http://dx.doi.org/10.51201/jusst/21/07300.
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Unified Modelling Language (UML) is currently accepted as a defacto standard language for modeling the software in the software industry. It will allow to implement object oriented concepts to model the software system. It provides a complete pictographic representation of software. Broadly these UML diagrams are classified into two groups viz. Structural diagrams and Behavioral diagrams. The sequence diagrams and Activity diagrams belongs to the second group i.e. behavioral diagrams. The sequence diagram represents the sequence of messages flowing from one object to another and activity diagram represents the flow of activities one after the other in a system. In this paper, we are proposing an automated tool which transforms the sequence diagram (which is represented in the table format) into activity diagram. The sequence diagram which is represented in the three column table called sequence table comprises various components of sequence diagram like objects, interactions, messages, alternations, iterations, loops, etc. The proposed tool reads the sequence table and converts the entire table components into the equivalent Activity table. Further the tool reads the activity table and then transforms to its equivalent activity diagram.
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Haines, Robert, Kashif Khan, and John Brooke. "Bringing simulation to engineers in the field: a Web 2.0 approach." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1898 (July 13, 2009): 2635–44. http://dx.doi.org/10.1098/rsta.2009.0047.
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Field engineers working on water distribution systems have to implement day-to-day operational decisions. Since pipe networks are highly interconnected, the effects of such decisions are correlated with hydraulic and water quality conditions elsewhere in the network. This makes the provision of predictive decision support tools (DSTs) for field engineers critical to optimizing the engineering work on the network. We describe how we created DSTs to run on lightweight mobile devices by using the Web 2.0 technique known as Software as a Service. We designed our system following the architectural style of representational state transfer. The system not only displays static geographical information system data for pipe networks, but also dynamic information and prediction of network state, by invoking and displaying the results of simulations running on more powerful remote resources.
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BAIDOO, Evans. "FIREWORKS ALGORITHM FOR UNCONSTRAINED FUNCTION OPTIMIZATION PROBLEMS." Applied Computer Science 13, no. 1 (March 30, 2017): 61–74. http://dx.doi.org/10.35784/acs-2017-06.
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Modern real world science and engineering problems can be classified as multi-objective optimisation problems which demand for expedient and efficient stochastic algorithms to respond to the optimization needs. This paper presents an object-oriented software application that implements a firework optimization algorithm for function optimization problems. The algorithm, a kind of parallel diffuse optimization algorithm is based on the explosive phenomenon of fireworks. The algorithm presented promising results when compared to other population or iterative based meta-heuristic algorithm after it was experimented on five standard benchmark problems. The software application was implemented in Java with interactive interface which allow for easy modification and extended experimentation. Additionally, this paper validates the effect of runtime on the algorithm performance.
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Flegg, Mark B., S. Jonathan Chapman, and Radek Erban. "The two-regime method for optimizing stochastic reaction–diffusion simulations." Journal of The Royal Society Interface 9, no. 70 (October 19, 2011): 859–68. http://dx.doi.org/10.1098/rsif.2011.0574.
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Spatial organization and noise play an important role in molecular systems biology. In recent years, a number of software packages have been developed for stochastic spatio-temporal simulation, ranging from detailed molecular-based approaches to less detailed compartment-based simulations. Compartment-based approaches yield quick and accurate mesoscopic results, but lack the level of detail that is characteristic of the computationally intensive molecular-based models. Often microscopic detail is only required in a small region (e.g. close to the cell membrane). Currently, the best way to achieve microscopic detail is to use a resource-intensive simulation over the whole domain. We develop the two-regime method (TRM) in which a molecular-based algorithm is used where desired and a compartment-based approach is used elsewhere. We present easy-to-implement coupling conditions which ensure that the TRM results have the same accuracy as a detailed molecular-based model in the whole simulation domain. Therefore, the TRM combines strengths of previously developed stochastic reaction–diffusion software to efficiently explore the behaviour of biological models. Illustrative examples and the mathematical justification of the TRM are also presented.
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Baharlouii, M., D. Mafi Gholami, and M. Abbasi. "INVESTIGATING MANGROVE FRAGMENTATION CHANGES USING LANDSCAPE METRICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 159–62. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-159-2019.
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Abstract. Generally, investigation of long-term mangroves fragmentation changes can be used as an important tool in assessing sensitivity and vulnerability of these ecosystems to the multiple environmental hazards. Therefore, the aim of this study was to reveal the trend of mangroves fragmentation changes in Khamir habitat using satellite imagery and Fragstats software during a 30-year period (1986–2016). To this end, Landsat images of 1986, 1998, and 2016 were used and after computing the normalized difference vegetation index (NDVI) to distinguish mangroves from surrounding water and land areas, images were further processed and classified into two types of land cover (i.e., mangrove and non-mangrove areas) using the maximum likelihood classification method. By determining the extent of mangroves in the Khamir habitat in the years of 1986, 1998 and 2017, the trend of fragmentation changes was quantified using CA, NP, PD and LPI landscape metrics. The results showed that the extent of mangroves in Khamir habitat (CA) decreased in the period post-1998 (1998–2016). The results also showed that, the NP and PD increased in the period of post-1998 and in contrast, the LPI decrease in this period. These results revealed the high degree of vulnerability of mangroves in Khamir habitat to the drought occurrence and are thus threatened by climate change. We hope that the results of this study stimulate further climate change adaptation planning efforts and help decision-makers prioritize and implement conservative measures in the mangrove ecosystems on the northern coasts of the PG and the GO and elsewhere.
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Toktas, Abdurrahim, Mustafa B. Bicer, Ahmet Kayabasi, Deniz Ustun, Ali Akdagli, and Kasim Kurt. "A novel and simple expression to accurately calculate the resonant frequency of annular-ring microstrip antennas." International Journal of Microwave and Wireless Technologies 7, no. 6 (July 7, 2014): 727–33. http://dx.doi.org/10.1017/s1759078714000890.
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This paper proposes a novel and simple expression for effective radius of annular-ring microstrip antennas (ARMAs) obtained using a recently emerged optimization algorithm of artificial bee colony (ABC) in calculating the resonant frequency at dominant mode (TM11). A total of 80 ARMAs having different parameters related to antenna dimensions and dielectric constants was simulated in terms of the resonant frequency with the help of an electromagnetic simulation software called IE3D™ based on method of moment. The effective radius expression was constructed and the unknown coefficients belonging to the expression were then optimally determined with the use of ABC algorithm. The proposed expression was verified through comparisons with the methods of resonant frequency calculation reported elsewhere. Also, it was further validated on an ARMA fabricated in this study. The superiority of the presented approach over the other methods proposed in the literature is that it does not need any sophisticated computations while achieving the most accurate results in the resonant frequency calculation of ARMAs.
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Kakar, Adarsh. "Changing Product Perceptions: A Pre-COVID-19 and Post-COVID-19 Survey of Software Products." Journal of the Southern Association for Information Systems 9, no. 2 (June 17, 2022): 18–32. http://dx.doi.org/10.17705/3jsis.00024.
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Traditionally software products have been classified as utilitarian or hedonic based on the value they provide to the users. In this cross-disciplinary study, we introduce another category of software products called social products i.e., those which provide symbolic value to its users. However, we also suggest these three types of software products are ideal types. In reality, most software products are likely hybrid. They provide differing magnitude of all three values: Utilitarian, Hedonic and Social. We use the different levels (high, medium, and low) of these three values to classify products as predominantly Utilitarian, predominantly Hedonic, predominantly Social and five types of Hybrids. This classification of products offers a fresh perspective into how users view different products in terms of the value they provide to them. The insights from the study can be used to assess software product positioning and to develop suitable product development strategies.
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Iqbal, Asif, and Nicholas R. Gans. "Data Association and Localization of Classified Objects in Visual SLAM." Journal of Intelligent & Robotic Systems 100, no. 1 (May 28, 2020): 113–30. http://dx.doi.org/10.1007/s10846-020-01189-x.
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Bradley, D. A. "Proceedings of The 1st International Conference on Machine Control Systems, IFS, Bedford, 1984 (UK, £43; elsewhere $86)." Robotica 3, no. 3 (September 1985): 193. http://dx.doi.org/10.1017/s0263574700009188.
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Yan, Si Qi, Xiao Hong Liu, Ling Zhi Wei, Xiao Hui Zhou, Liu Yang, and Xiao Ping Lu. "Preliminary Study of Compositae Family Plants Classification Based on Petal Pigments." Advanced Materials Research 955-959 (June 2014): 751–57. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.751.
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Abatract: Choose 32Compositaefamily plants which come from 14 different species (mainly based on yellow petals) were chosed, extract their pigments with anhydrous ethanol and N-butyl alcohol: Formic acid: water=4:1:2(in volume) as solution for chromatographywere extracted, and observe each petal band under 254nm ultraviolet light and write down Rf value of each band was observed. In the end, using NTSYS-pc 2.10e software to construct petal pigments phylogenetic tree with UPGMA method. The cluster analysis suggested that petal pigments of 32Compositaefamily plants had certain polymorphism, and they could be classified into 4 groups at 0.70. In the 4 groups, most of the material (81.25%) belonged to group I, and the rest were classified into group II、III、IV respectively. Most of them which had a close relationship could be in one group, and those had remote relationship could be distinguished from each other.Classification ofCompositaespecies based on petal pigments is feasible, which has an advantage of rapid, stable, low-carbon, environmental friendly when compared with mmolecular marker technology.
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Wu, Zhizhou, Xin Zeng, and Haochun Yang. "System-Level Reliability Analysis of Cooperative Driving with V2X Communication for Intersection Collision Avoidance." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 8 (May 27, 2020): 696–709. http://dx.doi.org/10.1177/0361198120919756.
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Cooperative driving with vehicle-to-everything (V2X) communication is a promising technique to improve traffic safety and efficiency. Intersection collision avoidance (ICA) is a typical safety application of it. This paper analyzes reliability of ICA with cooperative manual driving at the system level. First, the reliability of an ICA system is defined as the probability of the ICA system avoiding collisions or near-misses at intersections without failure under conditions that collisions or near-misses are about to happen. Post-encroachment time is used in the expression of this definition. Then, components of the ICA system are classified into four types: hardware, software, maneuver, and V2X communication, and a reliability block diagram (RBD) is applied to reveal how these components contribute to system reliability. Five ICA system patterns with different V2X communication modes and strategy types are compared based on RBD analysis. This shows that centralized strategies are more reliable than decentralized ones for V2I communication if software reliability of these two strategies is the same. Furthermore, reliabilities of ICA components are analyzed in detail, and they are classified into two categories based on their different impact modes on the system. Finally, a numerical example shows how to test reliability of an ICA system using reliabilities of its components by Monte Carlo simulation. Results show that closer distances from vehicles to their conflict point when alerted, longer driver reaction time, and smaller vehicle deceleration rates are more likely to lead to system failure, whereas communication latency has little effect on it.
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Shen, Chong. "HWN* Mobility Management Considering QoS, Optimisation and Cross Layer Issues." Journal of Communications Software and Systems 3, no. 4 (December 20, 2007): 225. http://dx.doi.org/10.24138/jcomss.v3i4.244.
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In this paper, we address mobility management for 4th generation heterogeneous networks from a quality of service (QoS), optimisation and cross layer design perspective. Users are classified as high profile, normal profile and low profile according to their differentiated service requirements. Congestion avoidance control and adaptive handover mechanisms are implemented for efficient cooperation within the mobile heterogeneous network environment consisting of a TDMA network, ad hoc network and relay nodes. A previous proposed routing algorithm is also revised to include mobility management.
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Timčenko, Aleksandar, Nenad Kirćanski, Dragan Urošević, and Miomir Vukobratović. "SYM-program environment for manipulator modeling, control and simulation." Robotica 10, no. 2 (March 1992): 147–53. http://dx.doi.org/10.1017/s0263574700007566.
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SUMMARYThis paper describes the structure of the program package for manipulator modeling, control law synthesis and simulation SYM. While the underlying algorithms have been explained elsewhere, this paper puts emphasis on SYM as a program environment with both research and educational purposes. The control law synthesis in symbolic form, as well as system simulation, are given in more details since those features have been introduced into SYM recently. As an illustration we present few instances of SYM outputs which depict main steps in manipulator control system creation process: manipulator structure as a 3D scheme, control law definition form and system simulation results as 2D plots.
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Liva, Gianluigi, Shumei Song, Lan Lan, Yifei Zhang, Shu Lin, and William E. Ryan. "Design of LDPC Codes: A Survey and New Results." Journal of Communications Software and Systems 2, no. 3 (April 5, 2017): 191. http://dx.doi.org/10.24138/jcomss.v2i3.283.
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This survey paper provides fundamentals in the design of LDPC codes. To provide a target for the code designer, we first summarize the EXIT chart technique for determining(near-)optimal degree distributions for LDPC code ensembles. We also demonstrate the simplicity of representing codes by protographs and how this naturally leads to quasi-cyclic LDPC codes. The EXIT chart technique is then extended to the special case of protograph-based LDPC codes. Next, we present several design approaches for LDPC codes which incorporate one or more accumulators, including quasi-cyclic accumulatorbased codes. The second half the paper then surveys severalalgebraic LDPC code design techniques. First, codes based on finite geometries are discussed and then codes whose designs are based on Reed-Solomon codes are covered. The algebraic designs lead to cyclic, quasi-cyclic, and structured codes. The masking technique for converting regular quasi-cyclic LDPC codes to irregular codes is also presented. Some of these results and codes have not been presented elsewhere. The paper focuses on the binary-input AWGN channel (BI-AWGNC). However, as discussed in the paper, good BI-AWGNC codes tend to be universally good across many channels. Alternatively, the reader may treat this paper as a starting point for extensions to more advanced channels. The paper concludes with a brief discussion of open problems.
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ĎUBEK, Marek, Peter MAKÝŠ, Silvia ĎUBEK, and Marek PETRO. "THE EVALUATION OF THE CONTENT OF FIBERS IN STEEL FIBER REINFORCED STRUCTURES AND IMAGE ANALYSIS." Journal of Civil Engineering and Management 24, no. 3 (May 24, 2018): 183–92. http://dx.doi.org/10.3846/jcem.2018.1642.
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The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fibers reinforced concrete. The article is devoted to research the systematic evaluation of fiber-cuts through the image processing software. Mathematical representation of the final dispersal of fibers in steel fiber-reinforced concrete is incorporated into a programmed evaluation software. The software detects fibers and classified according to their axes of rotation angle and size of the identified ellipse detection area. Image processing algorithm and detecting fibers has been developed only for these research purposes. Detection area is randomly inserted via steel fiber reinforced concrete structure. The results show the average value of uniformity in the fiber-samples produced in the laboratory.
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Indraratna, B., P. Nutalaya, K. S. Koo, and N. Kuganenthira. "Engineering behaviour of a low carbon, pozzolanic fly ash and its potential as a construction fill." Canadian Geotechnical Journal 28, no. 4 (August 1, 1991): 542–55. http://dx.doi.org/10.1139/t91-070.
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Detailed laboratory investigations were conducted on Mae Moh fly ash from northern Thailand for the determination of its grain size distribution, mineralogy, pozzolanic activity, compaction and strength characteristics, and the collapse potential. On the basis of the experimental results, this fly ash is classified as ASTM class C, which is considered to be pozzolanic. It has good potential to be utilized as an effective fill for embankments (roads and dams), airfields, pavements, and building bricks, as well as for the stabilization of compressible or erodible foundations. Because of the fact that Mae Moh fly ash contains only a negligible amount of unburned carbon, its pozzolanic reactivity is accelerated, in comparison with the relatively inert, high-carbon fly ash produced elsewhere in Thailand and many other parts of Asia. It is also demonstrated that Mae Moh fly ash can be easily compacted to produce acceptable dry densities over a wide range of water contents. Curing with an adequate moisture supply in the presence of calcium oxide plays an important role in accelerating the pozzolanic reactions, hence improving the time-dependent-properties. This study further proposes that a curing period of 2–3 weeks is sufficient for this material to approach its maximum strength. Although the behaviour of one specific fly ash cannot generalize the wide array of other ashes, the test results obtained for Mae Moh fly ash may be applied to lignite ashes in the category of ASTM class C. Key words: fly ash, structural fill, compaction, compressive strength, shear strength, collapse potential, pozzolanic activity.
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Pirayesh, Pardis, Homayun Motameni, and Ebrahim Akbari. "Achieving the best defuzzifier in terminology of Persian sentences through classified fuzzy method." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 2921–34. http://dx.doi.org/10.3233/jifs-191447.
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Fuzzy logic is a multi-valued concept, whose emergence in software sciences has eliminated 0 and 1 computations, putting them within an infinite space of [0,1]. This characteristic of fuzzy logic has resolved ambiguity in numerous previous problems. The sentence roles in Persian language were specified based on the fuzzy logic’s capability to resolve ambiguity. For that purpose, we first obtained the best classification for each defuzzifier, based on which a classified fuzzy was implemented. Nonetheless, the fuzzy system used in this research was classified based on statistical computations. To achieve the best classification, five defuzzification methods (Mean Of Max, Max Of Membership, Largest Of Max, Smallest Of Max, and Central Average) competed in 16 roles each in five classes (different matrices). Finally, Mean of Max with a success rate of 64% proved to be a defuzzifier delivering the best output among 5 different defuzzification methods.
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Abbas, H. M. "Classified image compression using optimally structured auto-association networks." IET Image Processing 1, no. 2 (2007): 189. http://dx.doi.org/10.1049/iet-ipr:20060187.
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Mishra, Debasisha, and Biswajit Mahanty. "Business knowledge requirements and onsite offshore work division in Indian software outsourcing projects." Strategic Outsourcing: An International Journal 8, no. 1 (February 16, 2015): 76–101. http://dx.doi.org/10.1108/so-10-2014-0025.
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Purpose – The purpose of the paper is to find out the knowledge requirements and its effect on both onsite and offshore project work division for development, re-engineering and maintenance projects in Indian outsourcing software industry in different phases of software development. Design/methodology/approach – This study employs an expert interview approach in Indian software industry to find out knowledge requirement for project execution and division of work between onsite and offshore locations. The requisite data were collected through expert interviews and direct observations. Findings – The study found that the development projects require higher level of domain, strategic, business process and operation process knowledge in comparison to re-engineering and maintenance projects. So there is a need of higher onsite presence in development projects. The maintenance work is taken up at the offshore location in a phase-wise manner. Research limitations/implications – The implication of the study is in the development of a broad framework of knowledge requirements and work division in on-shore and offshore locations for Indian software outsourcing projects. As the study is based on expert opinion in the context of India, it cannot be generalized for outsourcing scenarios elsewhere. Practical implications – The software project manager can use the findings to get more insight into the project and divide the software team between onsite and offshore location. Originality/value – The study is novel, as there is little attempt at finding the knowledge requirement to execute various kinds of business software development in outsourcing environment in the context of India.
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Smutný, Marian, and Jiří Kaiser. "Data organization issues in civil engineering." IOP Conference Series: Materials Science and Engineering 1203, no. 3 (November 1, 2021): 032067. http://dx.doi.org/10.1088/1757-899x/1203/3/032067.
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Abstract In today's organization of data in civil engineering there remains ambiguity, diversity of terminology and consequent lack of clarity. The daily reality is to work with hybrid data sources in a variety of software programs. In CAD programs it is possible to import and convert elements from GIS, but they will be classified only into layers. Or, attach external references from CAD files in BIM, but there still remains the problem of finding your way around the confusing list of layers, and their abbreviations. Also broadly used filesystems as place for store and organise data on disk into files (entities) and hierarchical structure of folders (categories) is limited by reductionist categorization approach. Another problem shows with absence of multilingual approach. The limits are in the methods of data organization, and so only partially portable. Therefore, if there is a common denominator to all problems, it is the absence of a unifying organizational environment. In current computer applications used in civil engineering, methods of data classification are implemented that do not allow multiplicative or faceted categorization and thus inevitably create an antagonistic environment with any previous or future classification system. Unfortunately, even if a software tool implements a modern multiplicative categorization or domain ontology, it will not significantly solve the overall situation, because it will still not be possible to use such a method of categorization in other applications. Therefore, if there should exist a solution that would significantly facilitate cooperation and orientation in the data, it must inevitably work independently, across diverse software applications, with the ability to link the functions of the application with such a separate categorization system.