The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Ahmed Kamel - One of the best experts on this subject based on the ideXlab platform.
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NEPER-Weed: A Picture-Based Expert System for Weed Identification
Agronomy Journal, 1996Co-Authors: Urs Schulthess, Ahmed Kamel, Kris Schroeder, Richard W. Ward, Joe T. Ritchie, Abdelghani M. Abdelghani, El-hassanein E. Hassanein, Shaban Sh. Abdelhady, Abdelmaboud Abdelshafi, Jon SticklenAbstract:Most current expert systems for weed identification are ruled-based. They use text only and rely on a large number of botanical terms. In rule-based expert systems, knowledge is not organized in a structured manner. Hence, they are difficult to create and use. This article describes the advantages of the Generic Task approach to building expert systems. The Generic Task approach is based on the assumption that certain knowledge and control structures may be common to a particular Task across domains. Hence, reusable control structures, or tools, have been developed to solve problems. We developed an expert system that uses a hierarchical classification tool. Text descriptions are replaced with pictures, to minimize the use of technical terms. Hypotheses are established or ruled out on the basis of the user's choices among options presented as pictures. This approach reduces the number of characters required for weed identification and the user does not need to know technical terms. In our system, the classification of grasses is based on the morphologies of the leaf base and leaf surface. Broadleaf weed classification is based on the shapes of the cotyledon and true leaf. The system contains 51 Egyptian weeds. The hierarchical classification tool allowed for a clear separation of the knowledge from the structure in which the knowledge is organized. The object-oriented nature of this approach simplifies adding or removing weeds. This approach can be readily applied to other domains, such as disease identification, fertilizer recommendation, or cultivar selection.
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Generating multiple design alternatives of composite materials using a Generic Task approach
1995Co-Authors: Ahmed KamelAbstract:Many engineering design situations require the generation of multiple designs to meet a common set of specifications. This research introduces an effective approach for generating multiple designs. The introduced architecture both produces multiple designs, and in a second step ranks the resultant designs according to set criteria. The method developed utilizes and builds on the Generic Task approach to knowledge-based systems, as well as the specific design technique, known as Routine Design. This research has five main contributions in design knowledge-based systems and in polymer composite materials design. In knowledge-based systems, there are three contributions: (1) The proposal of an integrated architecture for knowledge-based design problem solving. This architecture can produce designs by altering previous similar designs as well as produce designs "from scratch". The architecture also provides a means for "testing" the generated designs. (2) The development of an effective approach for generating multiple designs to meet a common set of specifications. (3) The definition of MDSPL, a language for analyzing and implementing design systems based on the Multiple Design approach. This language is implemented in the form of a set of diagrammatic browsers for browsing and editing design problem solving systems. In polymer composite materials, there are also 2 contributions: (1) This research introduces an integrated architecture for the material design for polymer composite materials. (2) The design and implementation of a thin film fiber reinforced polymer composite materials design system using the MDSPL language. This system is intended to be an industrial aid for composite materials designers. It is also intended to be part of the integrated design architecture intended for automating the design process.
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Neper Wheat: An Integrated Architecture for Irrigated Wheat Crop Management
IFAC Proceedings Volumes, 1995Co-Authors: Ahmed Kamel, Ahmed Rafea, Kris Schroeder, Eman El-sheikh, Jon Sticklen, Richard W. Ward, Joe T. Ritchie, Urs Schulthess, A. SalahAbstract:Abstract In this report, we discuss the development of an integrated system for irrigated wheat crop management in Egypt. The goal of our work is to develop a system that will address the various aspects of crop management including varietal selection, planting/harvest date selection, sowing parameters decisions, insect/disease/weed identification and remediation, irrigation/fertilization management and harvest management. The approach we take to solve this problem is the Generic Task Approach to expert systems development pioneered by Chandrasekaran et al. By using the Generic Task (GT) approach, we set out to model the behavior of an expert in wheat crop management. Previous research in the Generic Task approach has typically focused on the application of a single Generic Task problem solver to solve a particular problem. However, as a multi-Task problem, wheat crop management calls for the cooperation of multiple problem solvers, each tackling a portion of the larger problem. Thus, wheat crop management provides a testbed for the idea of integrating multiple Generic Tasks together with the numeric simulation capabilities of CERES Wheat pioneered by Ritchie et al. We use the Knowledge Level Architecture proposed by Sticklen as the template by which we will organize our system.
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Multiple Design: An Extension of Routine Design for Generating Multiple Design Alternatives
Artificial Intelligence in Design ’94, 1994Co-Authors: Ahmed Kamel, Jon Sticklen, James K. McdowellAbstract:Many engineering design situations require the generation of multiple designs to meet a common set of specifications. This research introduces an effective approach for generating multiple designs. The method developed utilizes and builds on the Generic Task approach to knowledge-based systems, as well as the specific design technique, known as Routine Design.
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Guiding object-oriented design via the knowledge level architecture
Mathematical and Computer Modelling, 1994Co-Authors: Kris Schroeder, Ahmed Rafea, Ahmed Kamel, Jon Sticklen, Richard W. Ward, Joe T. Ritchie, Urs Schulthess, A. SalahAbstract:In this paper, we detail our current work on a crop management system for irrigated wheat in Egypt. The goal of our work is to develop a system that will address all aspects of crop management including varietal selection, planting/harvest date selection, sowing parameters decisions, insect/disease/weed identification and remediation, and irrigation/fertilization management. The approach we take to solve this problem is the Generic Task Approach to expert systems development pioneered by Chandrasekaran et al. 1]. By using the Generic Task (GT) approach, we set out to model the behavior of an expert in wheat crop management. To accomplish this goal, the GT approach builds on top of the object-oriented methodology and acts as a guiding overlay for analyzing knowledge intensive problems, such as wheat crop management. As a multi-Task problem, wheat crop management provides a testbed for the ideas of a Knowledge Level Architecture introduced by Sticklen. The Knowledge Level Architecture (KLA) provides a means of understanding large systems in terms of cooperating subagents. This paper describes the GT and KLA methodologies, focusing on the support they afford to the description and understanding of knowledge-based systems from an object-oriented perspective.
Jon Sticklen - One of the best experts on this subject based on the ideXlab platform.
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An architecture for the generation of intelligent tutoring systems from reusable components and knowledge-based systems
2002Co-Authors: Jon Sticklen, Eman El-sheikhAbstract:There is a growing demand for principled and useful instructional software applications in both academic and industrial settings. The need for effective tutoring and training is increasingly important in technical fields, which demand the learning of complex Tasks and the use of large knowledge stores. In the last two decades, intelligent tutoring systems (ITSs) have been proven to be highly effective as learning aides, and numerous ITS research and development efforts were initiated. However, few tutoring systems have made the transition to the commercial market. The main reasons for this failure to deliver are that the development of ITSs is difficult, time-consuming, and costly. There is a need for easier, more cost-effective means of developing tutoring systems. In this dissertation, a novel methodology and architecture for generating intelligent tutoring systems for a wide range of domains is described. The architecture incorporates an ITS shell that interacts with any Generic Task-based expert system to produce a tutoring system for the domain knowledge represented in that system. The focus is on the issue of reusability. The knowledge-rich structure of Generic Tasks can be reused for instructional purposes, allowing the tutoring of domain and problem solving knowledge embedded within an expert system. The integration of this reusable knowledge with other reusable ITS components creates a powerful environment for the generation of tutoring systems for different domains. The architecture developed has many features needed in an effective ITS authoring environment. Among other features, it employs a runnable deep model of domain expertise, facilitates fine-grained student diagnosis, and offers an easy method for building expert systems and generating ITSs from them. It was used to generate two tutoring systems: an Excel tools tutor and a composite materials fabrication technology tutor. Evaluation studies of the architecture and tutoring systems generated showed that the architecture allows ITS authors to generate instructionally effective tutors in a simple and straightforward process. The central contributions of this research are: (1) an architecture that generates intelligent tutoring systems from Generic Task expert systems, (2) a proof of concept implementation of the architecture, and (3) a concrete demonstration of the reusability of the knowledge stored within a Generic Task knowledge-based system.
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Augmenting Conceptual Design With Manufacturing: An Integrated Generic Task Approach
Volume 4: 4th Design for Manufacturing Conference, 1999Co-Authors: Iliana Martinez, Oleg Lukibanov, Timothy J. Lenz, Clark J. Radcliffe, Jon SticklenAbstract:Abstract The consideration of manufacturing expertise can improve both the quality and the speed of artifact design by helping to evaluate the ease with which an artifact can be manufactured. Most work in this area has addressed the detailed stage of the design process and has required precise CAD-like representations. To make the most effective use of this expertise, however, design for efficacious manufacturing should also be a concern in the conceptual stage of the design process. This paper describes a computational approach that generates conceptual fabrication plans given a qualitative description of a design. This system contains expert-level knowledge from the composites manufacturing community and incorporates a comprehensive ontology into a framework for representing conceptual manufacturing plans. The Generic Task approach serves as the broad methodological foundation for these developments. Polymer composite structural elements of an unmanned aerial vehicle (UAV) are used to test this conceptual fabrication planning system.
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NEPER-Weed: A Picture-Based Expert System for Weed Identification
Agronomy Journal, 1996Co-Authors: Urs Schulthess, Ahmed Kamel, Kris Schroeder, Richard W. Ward, Joe T. Ritchie, Abdelghani M. Abdelghani, El-hassanein E. Hassanein, Shaban Sh. Abdelhady, Abdelmaboud Abdelshafi, Jon SticklenAbstract:Most current expert systems for weed identification are ruled-based. They use text only and rely on a large number of botanical terms. In rule-based expert systems, knowledge is not organized in a structured manner. Hence, they are difficult to create and use. This article describes the advantages of the Generic Task approach to building expert systems. The Generic Task approach is based on the assumption that certain knowledge and control structures may be common to a particular Task across domains. Hence, reusable control structures, or tools, have been developed to solve problems. We developed an expert system that uses a hierarchical classification tool. Text descriptions are replaced with pictures, to minimize the use of technical terms. Hypotheses are established or ruled out on the basis of the user's choices among options presented as pictures. This approach reduces the number of characters required for weed identification and the user does not need to know technical terms. In our system, the classification of grasses is based on the morphologies of the leaf base and leaf surface. Broadleaf weed classification is based on the shapes of the cotyledon and true leaf. The system contains 51 Egyptian weeds. The hierarchical classification tool allowed for a clear separation of the knowledge from the structure in which the knowledge is organized. The object-oriented nature of this approach simplifies adding or removing weeds. This approach can be readily applied to other domains, such as disease identification, fertilizer recommendation, or cultivar selection.
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Neper Wheat: An Integrated Architecture for Irrigated Wheat Crop Management
IFAC Proceedings Volumes, 1995Co-Authors: Ahmed Kamel, Ahmed Rafea, Kris Schroeder, Eman El-sheikh, Jon Sticklen, Richard W. Ward, Joe T. Ritchie, Urs Schulthess, A. SalahAbstract:Abstract In this report, we discuss the development of an integrated system for irrigated wheat crop management in Egypt. The goal of our work is to develop a system that will address the various aspects of crop management including varietal selection, planting/harvest date selection, sowing parameters decisions, insect/disease/weed identification and remediation, irrigation/fertilization management and harvest management. The approach we take to solve this problem is the Generic Task Approach to expert systems development pioneered by Chandrasekaran et al. By using the Generic Task (GT) approach, we set out to model the behavior of an expert in wheat crop management. Previous research in the Generic Task approach has typically focused on the application of a single Generic Task problem solver to solve a particular problem. However, as a multi-Task problem, wheat crop management calls for the cooperation of multiple problem solvers, each tackling a portion of the larger problem. Thus, wheat crop management provides a testbed for the idea of integrating multiple Generic Tasks together with the numeric simulation capabilities of CERES Wheat pioneered by Ritchie et al. We use the Knowledge Level Architecture proposed by Sticklen as the template by which we will organize our system.
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Multiple Design: An Extension of Routine Design for Generating Multiple Design Alternatives
Artificial Intelligence in Design ’94, 1994Co-Authors: Ahmed Kamel, Jon Sticklen, James K. McdowellAbstract:Many engineering design situations require the generation of multiple designs to meet a common set of specifications. This research introduces an effective approach for generating multiple designs. The method developed utilizes and builds on the Generic Task approach to knowledge-based systems, as well as the specific design technique, known as Routine Design.
Jose Mira - One of the best experts on this subject based on the ideXlab platform.
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in search of a common structure underlying a representative set of Generic Tasks and methods the hierarchical classification and therapy planning cases study
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1998Co-Authors: Juan Carlos Herrero, Jose MiraAbstract:CommonKADS methodology for the analysis of human expertise and the development of knowledge based systems yields as a result a library of Generic Tasks and problem solving methods (PSM's), to be used as components of a conceptual model; later on the corresponding formal and design models have to be made. Currently, given the conceptual model, a complete description that explains how we can obtain the program code is not available yet, though important efforts have been made in order to describe such transitions. Besides, an immediate question is how much these descriptions depend on the Generic Task.
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IEA/AIE (Vol. 1) - In Search of a Common Structure Underlying a Representative Set of Generic Tasks and Methods: The Hierarchical Classification and Therapy Planning Cases Study
Lecture Notes in Computer Science, 1998Co-Authors: Juan Carlos Herrero, Jose MiraAbstract:CommonKADS methodology for the analysis of human expertise and the development of knowledge based systems yields as a result a library of Generic Tasks and problem solving methods (PSM's), to be used as components of a conceptual model; later on the corresponding formal and design models have to be made. Currently, given the conceptual model, a complete description that explains how we can obtain the program code is not available yet, though important efforts have been made in order to describe such transitions. Besides, an immediate question is how much these descriptions depend on the Generic Task.
Heum Park - One of the best experts on this subject based on the ideXlab platform.
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Task Model and Task Ontology based on Mobile Users' Generic Activities for Task-Oriented Tourist Information Service
2013Co-Authors: Heum ParkAbstract:With the recent advances in mobile platform technologies, a variety of studies on contextaware information services for the tourist information domain have been undertaken. Many studies on ontological approaches to tourist information services, moreover, have been conducted. However, most studies have focused on upper-level or domain ontologies; comparatively, few have proceeded from the perspective of Task ontology based on mobile users’ Generic Tasks. Thus, we considered the construction of a Task model and Task ontology based on mobile users’ Generic activities for a Task-oriented tourist information service. In this paper, we introduce 1) a Generic Task model based on travelers’ needs and Generic activities before and during trips, which model accounts for Generic Tasks and Task processes; 2) a Task ontology based on the Generic Task model, and 3) a Task-ontology-based TaskOriented Tourist Information Service (TOTIS). Using the Generic Task model and the Task ontology, Task-oriented menu can be constructed automatically by means simply users’ selections and context-awareness. Additionally, compared with the existing domain-oriented services, the TOTIS can facilitate more flexible searching of tourist information and make real-time determinations with context-awareness.
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Abstract: Task-Oriented Tourist Information Service for Mobile Users based on Generic Task Model and Task Ontology
2012Co-Authors: Heum Park, Aesun Yoon, Hyuk-chul KwonAbstract:This paper presents a Task-oriented tourist information service based on Generic Task model and Task ontology for mobile users. For that service system, we considered the construction of a Generic Task model and Task ontology based on mobile users’ Generic activities for a Task-oriented tourist information service. Thus, we introduce a Generic Task model with Generic Tasks and Task processes based on travelers’ activities, a Task ontology with them, and Task-Oriented Tourist Information Service (TOTIS). Using the Generic Task model and the Task ontology, a Task-oriented menu can be constructed automatically by means simply users’ selections. Thus, the TOTIS can facilitate more flexible searching of tourist information and make real-time determinations.
Ahmed Rafea - One of the best experts on this subject based on the ideXlab platform.
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krol a knowledge representation object language on top of prolog
Expert Systems With Applications, 1998Co-Authors: Khaled Shaalan, Mahmoud Rafea, Ahmed RafeaAbstract:Abstract This paper presents a knowledge representation object language (KROL) on top of Prolog. KROL is aimed at providing the ability to develop second-generation expert systems. The main aspects of KROL include multi-paradigm knowledge representation (first-order predicate logic, objects, rules), inference mechanisms at different levels of granularity, explanation facility, object-oriented database management module, and user-friendly interface. KROL has sufficient expressive power to be used in applying demanding knowledge-based modeling methodologies, such as KADS and Generic Task, which are the major landmarks of the second-generation expert systems technology. Four successful agricultural expert systems have been developed in the last 6 years using KROL. To demonstrate the language capabilities, we present an example of disorder diagnosis.
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Neper Wheat: An Integrated Architecture for Irrigated Wheat Crop Management
IFAC Proceedings Volumes, 1995Co-Authors: Ahmed Kamel, Ahmed Rafea, Kris Schroeder, Eman El-sheikh, Jon Sticklen, Richard W. Ward, Joe T. Ritchie, Urs Schulthess, A. SalahAbstract:Abstract In this report, we discuss the development of an integrated system for irrigated wheat crop management in Egypt. The goal of our work is to develop a system that will address the various aspects of crop management including varietal selection, planting/harvest date selection, sowing parameters decisions, insect/disease/weed identification and remediation, irrigation/fertilization management and harvest management. The approach we take to solve this problem is the Generic Task Approach to expert systems development pioneered by Chandrasekaran et al. By using the Generic Task (GT) approach, we set out to model the behavior of an expert in wheat crop management. Previous research in the Generic Task approach has typically focused on the application of a single Generic Task problem solver to solve a particular problem. However, as a multi-Task problem, wheat crop management calls for the cooperation of multiple problem solvers, each tackling a portion of the larger problem. Thus, wheat crop management provides a testbed for the idea of integrating multiple Generic Tasks together with the numeric simulation capabilities of CERES Wheat pioneered by Ritchie et al. We use the Knowledge Level Architecture proposed by Sticklen as the template by which we will organize our system.
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Guiding object-oriented design via the knowledge level architecture
Mathematical and Computer Modelling, 1994Co-Authors: Kris Schroeder, Ahmed Rafea, Ahmed Kamel, Jon Sticklen, Richard W. Ward, Joe T. Ritchie, Urs Schulthess, A. SalahAbstract:In this paper, we detail our current work on a crop management system for irrigated wheat in Egypt. The goal of our work is to develop a system that will address all aspects of crop management including varietal selection, planting/harvest date selection, sowing parameters decisions, insect/disease/weed identification and remediation, and irrigation/fertilization management. The approach we take to solve this problem is the Generic Task Approach to expert systems development pioneered by Chandrasekaran et al. 1]. By using the Generic Task (GT) approach, we set out to model the behavior of an expert in wheat crop management. To accomplish this goal, the GT approach builds on top of the object-oriented methodology and acts as a guiding overlay for analyzing knowledge intensive problems, such as wheat crop management. As a multi-Task problem, wheat crop management provides a testbed for the ideas of a Knowledge Level Architecture introduced by Sticklen. The Knowledge Level Architecture (KLA) provides a means of understanding large systems in terms of cooperating subagents. This paper describes the GT and KLA methodologies, focusing on the support they afford to the description and understanding of knowledge-based systems from an object-oriented perspective.
