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An Integration of QFD and Fuzzy-AHP approach in Hospital Services, case study: a Hospital in Iran 5

An Integration of QFD and Fuzzy-AHP approach in Hospital Ser...

5th International Conference on Quality engineering and Management: A Better World with Quality! Quality in the Digital Transformation, ICQEM 2022

作者： Hariri, A. Domingues, J.P.T. Sampaio, P. Doctoral Program in Advanced Engineering Systems for Industry ALGORITMI Research Centre University of Minho Braga Portugal

ISBN: (纸本)9789895491117

Purpose This paper shows a development of an integrated model to identify the customer needs and select the best solution to optimize the quality of healthcare systems, namely at hospitals. Design/methodology/approach After determining the patient's requirements by data gathering from experts and patients, a questionnaire was prepared to implement the Fuzzy Analytic Hierarchy Process (FAHP) method. Afterward, the requirement's weight has determined by the patients. Finally, the most important technical requirements were achieved applying the 3-phases Quality Function Deployment (QFD) model. Findings The results show that by adapting the FAHP on ideas of the patients and hospital's experts to determine the weights of patients' requirements, led to have more flotation in FAHP questionnaires in the hospital services. In this domain, adopting the decision-making tools help more precise ranking of patients' requirements. Originality/value Since high-quality urgent services are vital to the protection of human life, it is significant to precisely rank the patient’s requirements by novel methodologies. By the implementation of an integrated model using FAHP and QFD, we were able to show the improvement of the quality of an hospital in Iran. After precisely ranking the patient requirements, "increasing human resource" and "establishing requirements and instructions in initial measures and reducing medication errors", are obtained as the most important technical requirements. © 2022 Universidade do Minho. All rights reserved.

关键词： FAHP Hospital Services House of Quality (HOQ) QFD Voice of Customer

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Dramatic effect of extreme rainfall event and storm on microbial community dynamics in a subtropical coastal region

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Science of the Total Environment 2025年 964卷 178560页

作者： Olivia, Madeline Annabel, Clara Natalie Chen, Patrichka Wei-Yi Hsieh, Chih-hao Chang, Feng-Hsun Ho, Pei-Chi Chien, Chia-Te Chao, Chien-Fu Mukhanov, Vladimir Tsai, An-Yi Institute of Marine Environment and Ecology National Taiwan Ocean University Keelung202-24 Taiwan Doctoral Degree Program in Ocean Resource and Environmental Changes National Taiwan Ocean University Keelung202-24 Taiwan Center of Excellence for the Oceans National Taiwan Ocean University Keelung202-24 Taiwan Institute of Oceanography National Taiwan University Taipei10617 Taiwan Department of Bioenvironmental Systems Engineering National Taiwan University Taipei10617 Taiwan A.O. Kovalevsky Institute of Biology of the Southern Seas Russian Academy of Sciences Sevastopol299011 Russia Laboratory of Marine Ecosystems Institute for Advanced Research Sevastopol State University Sevastopol299053 Russia

Extreme weather events, such as heavy rainfall and typhoons, are becoming more frequent due to climate change and can significantly impact coastal microbial communities. This study examines the short-term alterations in microbial food webs—viruses, bacteria, picophytoplankton, nanoflagellates, ciliates, and diatom—following Typhoon Krathon in Taiwan's coastal waters in October 2024. Daily in situ sampling revealed a significant post-typhoon increased in viral, nanoflagellate, and Synechococcus spp. abundance. Furthermore, viral, Synechococcus spp., and nanoflagellate abundance increased by approximately 4.2 to 12.8-fold, 33.3 to 160 fold, and 0.5 to 9.4 fold in response to these weather events, compared to periods pre-typhoon, respectively. Modified dilution experiments showed that, before the typhoon, nanoflagellate grazing was the major cause of bacterial mortality, while viral lysis was the main cause of Synechococcus spp. mortality. Post-typhoon, there was a notable shift, with nanoflagellate grazing increasing mortality rates of bacteria and Synechococcus spp., suggesting that grazing became the dominant top-down control mechanism after the disturbance. Our findings suggest that extreme weather events shift microbial mortality dynamics, increasing the role of grazing in controlling microbial populations, with potential implications for carbon cycling in coastal ecosystems. © 2025 Elsevier B.V.

关键词： Tropical cyclone

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engineering off-the-shelf solutions: A life cycle view

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NAVAL ENGINEERS JOURNAL 1996年第3期108卷 181-190页

作者： Belair, D Eagan, M [?]Doug Belair is the program manager for Advanced Programs in the Fleet Ballistic Missile/Shipboard business area at Lockheed Martin Defense Systems. He joined Defense Systems in 1979 with a Bachelor's degree in Computer Science and held a variety of positions in software and systems engineering throughout his early career. In 1985 Doug received a Master's degree in Industrial Management from the Krannert School of Management at Purdue University as part of a GE executive training program and has subsequently held increasingly complex and responsible engineering and program management positions associated with Fire Control System advanced development. Doug is currently responsible for new business opportunities and has received a number of awards including the inaugural Lockheed Martin NOVA award for technical excellence. He has been associated with the application of Off-the-Shelf products for mission critical applications since 1989 and has presented the subject often to both government and industry.

This paper describes a market driven life cycle methodology for application of off-the-shelf products and provides anecdotal lessons for each of the life cycle phases. In order to form a framework for further discussion, a model of the off-the-shelf marketplace is introduced to define a range of products from low cost commodities to high-end niche or specialty items. Within this framework, strategies are recommended for defining product requirements both technical and programmatic, surveying the market to find products that meet those requirements and then acceptance testing those products to ensure they do in fact perform as advertised. Recommendations are provided in the area of product tailoring, if tailoring is deemed a cost effective alternative to unique design. The pitfalls of managing ''off-the-shelf'' vendors as subcontractors during the tailoring phase is also described. Product procurement is defined to include not only those steps required to procure product quantities for deploy ment but also steps to ensure that those products meet the same requirements as those accepted during the selection phase. Three product support strategies are next described. The strategies range from a traditional ''commercial'' approach with support provided within the vendor's infrastructure to a more traditional ''military'' approach in which vendors are subcontracted to provide longer term support. Selection of the appropriate strategy is based on a balance of cost, desired product life and desired level of stability within the system configuration.

关键词： Electronic ship equipment

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Layered neural network training with model switching and hidden layer feature regularization

Layered neural network training with model switching and hid...

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International Joint Conference on Neural Networks (IJCNN)

作者： K. Kameyama K. Taga Tsukuha Advanced Research Alliance University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan

This work introduces a scheme of layered neural network training, which incorporates a dynamical model alteration during training, and regularization of the features extracted in the hidden layer units. So far, use of Model Switching (MS), which is a simultaneous search scheme for an optimal model and parameter, proved to improve training efficiency and generalization ability as a side effect. In MS, the operation to switch the network to a different model involve orthogonalization of the features extracted in the hidden layer. Assuming that the orthogonalization contributes to the observed merits, joint use of MS and orthogonalization of the hidden layer feature by introducing a regularization term in the training, is introduced. The network trained by the proposed training scheme is applied to a pattern recognition problem, and some improvement in training efficiency and generalization ability were observed.

关键词： Neural networks Pattern recognition Feature extraction Switches Supervised learning systems engineering and theory Data mining Probability density function Size measurement

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Regularization of hidden layer unit response for neural networks

Regularization of hidden layer unit response for neural netw...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： K. Taga K. Kameyama K. Toraichi Doctoral Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Tsukuba Advanced Research Alliance University of Tsukuba Tsukuba Ibaraki Japan

In this paper, we looked into two issues in pattern recognition using neural networks trained by back propagation (BP), namely inefficient learning and insufficient generalization. We observed that these phenomena are partly caused by the way the hidden layer units responds to the inputs. In order to solve the issues, we introduced regularization of the hidden layer unit response which amounts to suppressing the correlation among the response of the hidden layer units, and pruning the unit with the method unit fusion. The results of using the proposed technique were compared with the case of conventional technique in pattern recognition problems. From the results of the experiments, the rate of correct recognition increased when using regularization in the hidden layer unit response is performed, and it turned out that the required number of training epochs also decreases.

关键词： Neural networks Feature extraction systems engineering and theory Pattern recognition Computer vision Statistics

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Fuzzy clustering of data with uncertainties using minimum and maximum distances based on L/sub 1/ metric

Fuzzy clustering of data with uncertainties using minimum an...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： O. Takata S. Miyamoto K. Umayahara Doctoral Program in Engineering University of Tsukuba Tsukuba Ibaraki Japan Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba Ibaraki Japan School of Knowledge Science Japan Advanced Institute of Science and Technology Ishikawa Japan

Fuzzy c-means is well-known among the various methods of fuzzy cluster analysis. L/sub 1/-based fuzzy c-means has also been studied in recent years. This paper discusses the L/sub 1/-based fuzzy c-means of data with fuzzy uncertainties. The data unit is supposed to be the Cartesian product of fuzzy numbers. The metric between a data unit with uncertainty and a cluster center is defined using minimum and maximum distances. The fuzzy c-means algorithm is an alternative procedure for the optimization of the cluster center and the fuzzy set membership, while the solution of the cluster center for uncertain data cannot be obtained directly. An algorithm for the solution of cluster centers based on the L/sub 1/ metric for uncertain data is developed in this paper. Using this algorithm, an exact alternate optimization procedure is obtained. Numerical examples show that the results for uncertain data are different from the results for data without uncertainties.

关键词： Uncertainty Clustering algorithms Data engineering Knowledge engineering Optimization methods Euclidean distance Entropy Fuzzy systems systems engineering and theory

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NAVY HIGH-ENERGY LASER-WEAPON SYSTEM

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NAVAL ENGINEERS JOURNAL 1993年第3期105卷 105-117页

作者： FERREIRA, DM MARCELL, FC David M. Ferreira:is the program manager for high power microwave and laser applications and the exploratory development technology block program manager for laser technology and high power microwave technology in the Directed Energy Program at the Space and Naval Warfare Systems Command (SpaWar). His 20 years experience includes project engineer for shipboard infrared countermeasures and advanced development infrared decoys at the Naval Ship Engineering Center. project engineer for advanced development infrared search and track systems in the Reconnaissance Electronic Warfare and Special Operations Navy (REWSON) Project Office Naval Electronic Systems Command HEL beam control manager in the High Energy Laser Project Naval Sea Systems Command and System Engineering Division director Naval Warfare System Architecture and Engineering Directorate Space and Naval Warfare Systems Command. His current position is manager of high power microwave and laser applications in the Directed Energy Weapons Division of SpaWar. Mr. Ferreira holds an AA from City College of San Francisco a BS(EE) from the University of Colorado and an MBA from George Mason University. Frederick C. Marcell:is the leader Electro-Optics Systems Space and Defense Systems Group W. J. Schafer Associates (WJSA) Washington Operations. With more than 15 years experience in electro-optic sensors and laser technology development he is responsible for Navy SDIO and other industry programs in the laser radar and electro-optic sensor business areas. He provides scientific engineering and program management support to government and industry in technology assessment and system development programs. Mr. Marcell came to WJSA following 27 years of naval service in both sea and technical billets. As an engineering duty officer he served in technical program management positions at the Naval Surface Warfare Center working on the ANISAR-8 IRST and at The Navy Directed Energy Weapons Program Office working on the High Energy Laser and managing the SDIO

This paper will historically review and describe the Navy High Energy Laser Weapon System (HELWS). Advances in anti-ship cruise missiles (ASMs), which present the greatest challenge in surface ship self defense, are necessitating the development of significantly more sophisticated and expensive surface-to-air missiles in order to counter the threat. The next generation of ASMs, as represented by the French ANS, will be capable of skimming only meters above the sea surface at multi-mach speeds, while performing evasive maneuvers during terminal run-in. This type of threat has essentially eliminated naval gun systems from the role of ship self-defense, and has significantly reduced the effectiveness of cu''ent missile systems. Under development for the past twenty years, the High Energy Chemical Laser appears to be a feasible solution to the ship self-defense problem. Capable of operating effectively in all weather conditions except dense fog, a HELWS requires no conventional rire control solution, since it operates at the speed of light. Any target that can be tracked can be enpged. Furthermore, once the beam director is locked onto a target, the system is insensitive to target maneuvers. By tailoring the lase period to the threat, the effective P(k) of an HELWS is essentially 1. Using chemical energy as a primary power source removes the requirement for additional costly and heavy power generation equipment aboard ship. In the context of the foregoing arguments, cost per kill becomes a fraction of the cost of a two-round missile salvo. The technology required to field a shipboard HELWS has been demonstrated by the Navy Mid-InfraRed advanced Chemical Laser (MIRACL) and the Sea Lite Beam Director (SLBD). Its success in bringing down a Mach 2.2 Vandal missile in 1989 was dramatic proof of the effectiveness of such a system. Recent studies have shown that the MIRACL/SLBD can be repackaged as a HELWS to fit into the equivalent volume occupied by a 5''154 Mk 45 gun mount

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Glucose Sensing Utilizing Complex-Valued Neural Networks 23

Glucose Sensing Utilizing Complex-Valued Neural Networks

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4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023

作者： Lv, Yiqi Meng, Xiang Luo, Yong Pei, Yan The Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai University China and Jt. International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai China Doctoral Program Grad. Sch. of Comp. Science and Engineering Graduate Department of Computer and Information Systems University of Aizu Aizuwakamatsu Japan Computer Science Division University of Aizu Aizuwakamatsu Japan

ISBN: (纸本)9798400700705

This paper proposes a Complex-Valued Neural Network (CVNN) for glucose sensing in milli-meter wave (mmWave). Based on the propagation characteristics of millimeter wave in glucose medium, we obtain the S21 parameter of glucose with the concentration range of 0-300mg/dL in the 60-80 GHz frequency band by High Frequency Structure Simulator (HFSS) simulations. Then we combine the sensing model with a neural network to detect and predict the glucose concentration relying on the learning ability of the neural network. In the prediction of the concentration of unknown samples, the absolute error between the predicted value and the true value is within 5mg/dL, which confirms the ability of the proposed CVNN model. © 2023 ACM.

关键词： Millimeter waves

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INTEGRATION OF SHIP CONTROL-systems FOR TOTAL SHIP SURVIVABILITY

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NAVAL ENGINEERS JOURNAL 1992年第4期104卷 114-116页

作者： SIMPSON, HL FAMME, JB TAYLOR, B Joseph Famme:is the manager of marine systems CAE-Link Silver Spring Maryland. Mr. Famme joined Link in 1983 where he is responsible for developing marine products including digital control and monitoring systems for ships and submarines. Prior to joining Link then Commander Famme served in the U.S. Navy in all shipboard assignments including command of an FF-1052 class frigate. His engineering duties included supervising new construction sea trials and major mid-life ship overhauls. Mr. Famme has written concept papers defining architectures for future platform control systems and has worked within the simulation industry to introduce the use of distributed computer-based systems for training. He is currently working with various naval organizations and shipbuilding companies to develop the next generation of integrated digital control systems for ships and submarines. Barry Taylor:is the manager of marine systems at CAE Electronics Montreal Canada. CAE is currently supplying the integrated control systems for four classes of ships: the Canadian Patrol Frigate the DDH-280 the USN MHC-51 Minehunter and the SA'AR 5 corvette under construction at Litton - Ingalls Shipbuilding. Prior to joining CAE Electronics in 1987 then Commander Taylor served in the Canadian Navy as an engineering duty officer. His tours included sea duty as the engineering officer on five ships and shore duty assignments including one in the Directorate responsible for ship machinery control systems in the Canadian Navy. Commander Taylor was also the program manager for the Shipboard Integrated Machinery Control System Advanced Development Model (SHINMACS ADM). He has had numerous papers published on integrated ship control systems.

Effective damage control in naval ships has always been an important element of the naval combat equation. After receipt of battle damage, the ship's offensive operational capability depends upon its ability to support or restore vital systems. This in turn depends on the degree of initial damage, the damage control readiness condition of the ship, and effectiveness of the crew in applying the ship's damage control doctrine. In addition to conventional shell, mine, and torpedo threats, the speed and lethality of modern weapon systems presents an increased requirement for damage control readiness. New technology for the monitoring and control of the ship's hull, mechanical, electrical, and damage control (HME&DC) systems is now available with the potential for improving damage control readiness and for aiding the ship's commander in executing his damage control doctrine. This paper will describe the evolution of ship control systems, and discuss the application of current ship control systems technologies to damage control. It will recommend an optimum approach to meeting the requirements of damage control readiness posed by modern day threats, working within the U.S. Navy concept called Total Ship Survivability (TSS).

关键词： Naval Vessels

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military engineering

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