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  • 1995-1999  (3)
  • Blackboard architecture  (2)
  • Beclomethasone  (1)
  • 1
    Electronic Resource
    Electronic Resource
    A computational system for process design of injection moulding: Combining a blackboard-based expert system and a case-based reasoning approach (1998)
    Springer
    The international journal of advanced manufacturing technology 14 (1998), S. 350-357 
    Details
    ISSN: 1433-3015
    Keywords: Blackboard architecture ; Case-based reasoning ; Expert system ; Process design of injection moulding
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Process design of injection moulding involves the selection of the injection moulding machine, mould design, production scheduling, cost estimation, and determination of injection moulding parameters. An expert system approach has been used to derive the process solution for injection moulding over the past few years. However, this approach is found to be incapable of determining the injection moulding parameters owing to the fragile nature of the knowledge for setting the moulding parameters. In addition, the existing expert systems for process design lack proper architecture for organising heterogeneous knowledge sources. In this paper, the combination of a blackboard-based expert system and a case-based reasoning approach is introduced to eliminate the deficiency of the existing expert-system approach to process design, from which a computational system for the process design of injection moulding, named CSPD, has been developed. CSPD first derives the process solution including the selection of the injection moulding machine and the mould base, tooling cost, processing cost estimation, and production scheduling based on the blackboard-based expert-system approach. It is then followed by the determination of the injection moulding parameters based on the case-based reasoning approach and the previously derived partial solution.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01178914
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    A computational system for process design of injection moulding: Combining blackboard-based expert system and case-based reasoning approach (1998)
    Springer
    The international journal of advanced manufacturing technology 14 (1998), S. 239-246 
    Details
    ISSN: 1433-3015
    Keywords: Blackboard architecture ; Case-based reasoning ; Expert system ; Process design of injection moulding
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract The process design of injection moulding involves the selection of the injection moulding machine, mould design, production scheduling, cost estimation, and determination of injection moulding parameters. Expert system approaches have been attempted to derive the process solution for injection moulding in the past few years. However, this approach has been found to be incapable of determining the injection moulding parameters owing to the difficulty in setting the moulding parameters. In addition, the existing expert systems for process design lack the proper architecture for organising a heterogeneous knowledge source. In this paper, the combination of a blackboard-based expert system and case-based reasoning approach is introduced to make up the deficiencies of the existing expert-system approach to the process design, from which a computational system for process design of injection moulding, named CSPD, was developed and described. CSPD first derives the process solution including the selection of injection moulding machine and mould base, tooling cost, and processing cost estimation, and production scheduling based on the blackboard-based expert-system approach. It is then followed by the determination of the injection moulding parameters based on the case-based reasoning approach and the previously derived partial solution.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01199878
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    A placebo controlled study comparing the efficacy of intranasal azelastine and beclomethasone in the treatment of seasonal allergic rhinitis (1997)
    Springer
    European archives of oto-rhino-laryngology and head & neck 254 (1997), S. 236-241 
    Details
    ISSN: 1434-4726
    Keywords: Seasonal allergic rhinitis ; Intranasal medications ; Azelastine ; Beclomethasone ; Clinical studies
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract This study compared a new intranasal anti-allergic drug, azelastine (0.56 mg bid) with intranasal beclomethasone (0.2 mg bid) and placebo in the treatment of symptoms associated with seasonal rhinitis. After administering placebo for 3–5 days as a “run-in” period, eligible patients were randomized to treatment for 2 weeks: 83 patients received azelastine, 83 beclomethasone and 77 placebo. Each of six symptoms was assessed daily using a four-point scale. Total symptom scores showed that azelastine-treated patients experienced a more rapid onset of overall symptom relief than beclomethasone-treated patients. This was significant on day 1 (P 〈 0.003) and continued until day 5. By the end of the 2-week study period, the beclomethasone-treated group showed greater improvement than both the azelastine and placebo groups (P = 0.002 andP = 0.0001, respectively). In contrast, visual analogue scales at this time showed no significant differences between the azelastine and beclomethasone treatment groups, with both groups demonstrating significant reductions in total symptom scores compared to placebo (P = 0.0004 andP = 0.0001, respectively). Differing sensitivities were found in the four-point scales reported by the patients and the investigators and the patients' visual analogue scales in the measurement of symptom severity. However, all three techniques confirmed that both azelastine nasal spray and beclomethasone nasal spray were effective treatments for seasonal rhinitis. While a greater improvement in overall symptoms was found for the beclamethasone-treated patients compared to azelastine-treated patients, diary card data confirmed the more immediate onset of symptom relief provided by azelastine. No serious adverse events were found in the present study and included no complaints of drowsiness.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00874095
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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