| 1. |
- Lindgren, Helena, et al.
(författare)
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Dierential diagnosis of dementia in an argumentation framework
- 2006
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Ingår i: Journal of Intelligent & Fuzzy Systems. - New York : IOS Press. - 1064-1246 .- 1875-8967. ; 17:4, s. 387-394
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Tidskriftsartikel (refereegranskat)abstract
- In order to provide support for differential diagnosis of dementia in medical practice, logical specification of a single clinical guideline is not sufficient. Therefore, a synthesis guideline has been formalized using core features from selected clinical guidelines which report high sensitivity, using conventional two-valued propositional logic. This guideline is sufficient for capturing the major part of typical cases of patients in the domain. However, in order to provide support in atypical cases, additional clinical guidelines are needed in the reasoning process which report higher specificity but are pervaded with more uncertainty. In order to capture the different levels of significance in evidence expressed in the clinical guidelines an argumentation framework based on a many-valued propositional logic is adapted for the domain. This is accomplished in a context of transformations between logics. Formal frameworks will be given as well as a clinical case study where the sets of values that are attached to arguments correspond to the vocabulary used in the clinical guidelines, as well as the functions which compute the significance.
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| 2. |
- Bao, Jiangdong, et al.
(författare)
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Cleaner production assessment of group company based on improved AHP and grey relational analysis
- 2018
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Ingår i: Journal of Intelligent & Fuzzy Systems. - : IOS Press. - 1064-1246 .- 1875-8967. ; 35:1, s. 439-444
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Tidskriftsartikel (refereegranskat)abstract
- Cleaner production assessment is a measure of the state and level of cleaner production, also a necessary method of promoting cleaner production in enterprises. For the purpose of the improvement of cleaner production of enterprises, improved Analytic Hierarchy Process (AHP) model and grey relational analysis (GRA) are used to assess the same nature of the three enterprises of one group with seven quantitative indicators concordant with the Cleaner Production Report. The results are consistent with the clean production reports from three enterprises, which show that the integrated methods are feasible and objective, and can be used as a tool for internal cleaner production assessment.
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| 3. |
- Benali, B. Ait, et al.
(författare)
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Arabic named entity recognition in social media based on BiLSTM-CRF using an attention mechanism
- 2022
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Ingår i: Journal of Intelligent & Fuzzy Systems. - : IOS Press. - 1064-1246 .- 1875-8967. ; 42:6, s. 5427-5436
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Tidskriftsartikel (refereegranskat)abstract
- Named Entity Recognition (NER) is a vitally important task of Natural Language Processing (NLP), which aims at finding named entities in natural language text and classifying them into predefined categories such as persons (PER), places (LOC), organizations (ORG), and so on. In the Arabic context, the current NER approaches based on deep learning are mainly based on word embedding or character-level embedding as input. However, using a single granularity representation has problems with out-of-vocabulary (OOV), word embedding errors, and relatively simple semantic content. This paper presents a multi-headed self-attention mechanism implemented in the BiLSTM-CRF neural network structure to recognize Arabic named entities on social media using two embeddings. Unlike other state-of-the-art approaches, this approach combines character and word embedding at the embedding layer, and the attention mechanism calculates the similarity over the entire sequence of characters and captures local context information. The proposed approach better recognized NEs in Dialect Arabic, reaching an F1 value of 74.15% on Darwish's dataset (a publicly available Arabic NER benchmark for social media). According to our knowledge, our findings outperform the current state-of-the-art models for Arabic Named Entity Recognition on social media.
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| 4. |
- Brännström, Andreas, et al.
(författare)
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Towards control in agents for human behavior change : an autism case
- 2024
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Ingår i: Journal of Intelligent & Fuzzy Systems. - 1064-1246 .- 1875-8967.
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Tidskriftsartikel (refereegranskat)abstract
- This paper introduces an automated decision-making framework for providing controlled agent behavior in systems dealing with human behavior-change. Controlled behavior in such settings is important in order to reduce unexpected side-effects of a system’s actions. The general structure of the framework is based on a psychological theory, the Theory of Planned Behavior (TPB), capturing causes to human motivational states, which enables reasoning about dynamics of human motivation. The framework consists of two main components: 1) an ontological knowledge-base that models an individual’s behavioral challenges to infer motivation states and 2) a transition system that, in a given motivation state, decides on motivational support, resulting in transitions between motivational states. The system generates plans (sequences of actions) for an agent to facilitate behavior change. A particular use-case is modeled regarding children with Autism Spectrum Conditions (ASC) who commonly experience difficulties in everyday social situations. An evaluation of a proof-of-concept prototype is performed that presents consistencies between ASC experts’ suggestions and plans generated by the system.
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| 5. |
- Chhabra, Robin, et al.
(författare)
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A linguistic approach to concurrent design
- 2015
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Ingår i: Journal of Intelligent & Fuzzy Systems. - 1064-1246 .- 1875-8967. ; 28:5, s. 1985-2001
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Tidskriftsartikel (refereegranskat)abstract
- This paper outlines a concurrent design methodology for multidisciplinary systems, which employs tools of fuzzy theory for the tradeoff in the design space. This methodology enhances communication between designers from various disciplines through introducing the universal notion of satisfaction and expressing the behaviour of multidisciplinary systems using the notion of energy. It employs fuzzy rule-bases, membership functions and parametric connectives in fuzzy logic to formalize subjective aspects of design, resulting in a two-phase simplification of the multi-objective constrained optimization of a design process. The methodology attempts to find a pareto-optimal solution for the design problem. In the primary phase of the methodology, a fuzzy-logic model is utilized to identify a region in the design space that contains the pareto-optimal design state, and a proper initial state is suggested for the optimization in the secondary phase, where the pareto-optimal solution is found. Finally, the impact of the designer's subjective attitude on the design is adjusted based on a system performance by utilizing an energy-based model of multidisciplinary systems. As an application, it is shown that the design of a five-degree-of-freedom industrial robot manipulator can be enhanced by using the methodology.
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| 6. |
- Cielniak, Grzegorz, et al.
(författare)
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People recognition by mobile robots
- 2004
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Ingår i: Journal of Intelligent & Fuzzy Systems. - 1064-1246 .- 1875-8967. ; 15:1, s. 21-27
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Tidskriftsartikel (refereegranskat)abstract
- This paper addresses the problem of detecting and identifying persons with a mobile robot, by sensory fusion of thermal and colour vision information. In the proposed system, people are first detected with a thermal camera, using image analysis techniques to segment the persons in the thermal images. This information is then used to segment the corresponding regions of the colour images, using an affine transformation to solve the image correspondence between the two cameras. After segmentation, the region of the image containing a person is further divided into regions corresponding to the person's head, torso and legs. Temperature and colour features are then extracted from each region for input to a pattern recognition system. Three alternative classfication methods were investigated in experiments with a moving mobile robot and moving persons in an office environment. The best identification performance was obtained with a dynamic recognition method based on a Bayes classifier, which takes into account evidence accumulated in a sequence of images.
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| 7. |
- Heintz, Fredrik, et al.
(författare)
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A knowledge processing middleware framework and its relation to the JDL data fusion model
- 2006
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Ingår i: Journal of Intelligent & Fuzzy Systems. - : IOS Press. - 1064-1246 .- 1875-8967. ; 17:4, s. 335-351
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Tidskriftsartikel (refereegranskat)abstract
- Any autonomous system embedded in a dynamic and changing environment must be able to create qualitative knowledge and object structures representing aspects of its environment on the fly from raw or preprocessed sensor data in order to reason qualitatively about the environment and to supply such state information to other nodes in the distributed network in which it is embedded. These structures must be managed and made accessible to deliberative and reactive functionalities whose successful operation is dependent on being situationally aware of the changes in both the robotic agent's embedding and internal environments. DyKnow is a knowledge processing middleware framework which provides a set of functionalities for contextually creating, storing, accessing and processing such structures. The framework is implemented and has been deployed as part of a deliberative/reactive architecture for an autonomous unmanned aerial vehicle. The architecture itself is distributed and uses real-time CORBA as a communications infrastructure. We describe the system and show how it can be used to create more abstract entity and state representations of the world which can then be used for situation awareness by an unmanned aerial vehicle in achieving mission goals. We also show that the framework is a working instantiation of many aspects of the JDL data fusion model.
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| 8. |
- Heintz, Fredrik, et al.
(författare)
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DyKnow : An approach to middleware for knowledge processing
- 2004
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Ingår i: Journal of Intelligent & Fuzzy Systems. - : IOS Press. - 1064-1246 .- 1875-8967. ; 15:1, s. 3-13
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Tidskriftsartikel (refereegranskat)abstract
- Any autonomous system embedded in a dynamic and changing environment must be able to create qualitative knowledge and object structures representing aspects of its environment on the fly from raw or preprocessed sensor data in order to reason qualitatively about the environment. These structures must be managed and made accessible to deliberative and reactive functionalities which are dependent on being situationally aware of the changes in both the robotic agent's embedding and internal environment. DyKnow is a software framework which provides a set of functionalities for contextually accessing, storing, creating and processing such structures. The system is implemented and has been deployed in a deliberative/reactive architecture for an autonomous unmanned aerial vehicle. The architecture itself is distributed and uses real-time CORBA as a communications infrastructure. We describe the system and show how it can be used in execution monitoring and chronicle recognition scenarios for UAV applications.
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| 9. |
- Huang, Jing, et al.
(författare)
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Development of a human head and neck muscle activation control model based on BPNN
- 2018
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Ingår i: Journal of Intelligent and Fuzzy Systems. - 1875-8967 .- 1064-1246. ; 34:2, s. 1161-1167
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Tidskriftsartikel (refereegranskat)abstract
- With the development of vehicle active safety technology and its combination with passive safety technologies, there is a need for an updated tool to assess the performance of vehicle safety systems in both the in-crash and pre-crash phases. Consequently, developing human body models with active muscles is critical to achieve improved bio-fidelity simulation results to evaluate the effects of safety systems. In the present study, an innovative human active muscle control model based on a back-propagation neural network (BPNN) controller was developed, and the active muscle response was modelled using a feedback control strategy with the BPNN algorithm implemented in a human head and neck Sim Mechanics model. The BPNN controller was used to dynamically control the muscle activation level, the most complicated and essential factor in active muscle force calculation based on the Hill equation. Then, the active muscle control model was evaluated by simulating the human response in volunteer sled tests. The results validated the proposed active muscle control method as successful and easily realized. Achieving muscle active control would further improve the bio-fidelity of the human body model.
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| 10. |
- Hwang, Seong Oun, et al.
(författare)
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Efficient certificate-based encryption and hierarchical certificate-based encryption schemes in the standard model
- 2018
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Ingår i: Journal of Intelligent & Fuzzy Systems. - : IOS Press. - 1064-1246 .- 1875-8967. ; 35:6, s. 5971-5981
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Tidskriftsartikel (refereegranskat)abstract
- Telco systems usually run large-scale, centralized key management systems. However, centralized approaches based on conventional public key encryption like RSA raise problems such as key escrow, secure channel to delivery key, and third-party query as well as single point of failure. To address these problems, we propose both certificate-based encryption (CBE) and hierarchical certificate-based encryption (HCBE) schemes proved secure in the standard model. Compared with other schemes, our schemes are proved IND-CCA2 (Indistinguishability under Adaptive Chosen Ciphertext Attack) secure in full model, where the number of group elements is independent of the value of security parameter. As far as we know, the proposed HCBE is the first fully IND-CCA2 secure scheme with ciphetexts of constant size.
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