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Artykuły w czasopismach na temat „Logic flow”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Aung, Thae Thae Ei, and Zar Chi Soe. "Liquid Flow Control by Using Fuzzy Logic Controller." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 2190–93. http://dx.doi.org/10.31142/ijtsrd18263.

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Georgatos, K. "Logic and Information Flow." Computer Journal 38, no. 3 (1995): 259–60. http://dx.doi.org/10.1093/comjnl/38.3.259.

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3

Li, Hai Jun. "The Page Flow Implements Business Logic in Web Applications." Applied Mechanics and Materials 347-350 (August 2013): 2536–40. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2536.

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This paper discusses the application of the technology of NetUI flow page in the business logic of Web applications. The page flow uses declarative programming method, and has session state and modular design, which can be nested to use and effectively separate the logical code in the Web applications, to make the application structure clear, easy to be read and modified. The paper references a business logic of the users login authentication to illustrate the implementation process of the entire page flow.

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4

Tedder, Andrew. "Information Flow in Logics in the Vicinity of BB." Australasian Journal of Logic 18, no. 1 (2021): 1–24. http://dx.doi.org/10.26686/ajl.v18i1.6288.

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Situation theory, and channel theory in particular, have been used to provide motivational accounts of the ternary relation semantics of relevant, substructural, and various non-classical logics. Among the constraints imposed by channel-theory, we must posit a certain existence criterion for situations which result from the composites of multiple channels (this is used in modeling information flow). In associative non-classical logics, it is relatively easy to show that a certain such condition is met, but the problem is trickier in non-associative logics. Following Tedder (2017), where it was

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5

Nielson, Flemming, and Hanne Riis Nielson. "Flow Logic and Operational Semantics." Electronic Notes in Theoretical Computer Science 10 (1998): 150–69. http://dx.doi.org/10.1016/s1571-0661(05)80695-4.

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Nielson, Hanne Riis, Flemming Nielson, and Henrik Pilegaard. "Flow Logic for Process Calculi." ACM Computing Surveys 44, no. 1 (2012): 1–39. http://dx.doi.org/10.1145/2071389.2071392.

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7

Yaacoub, Antoun, Ali Awada, and Habib Kobeissi. "Information Flow in Concurrent Logic Programming." British Journal of Mathematics & Computer Science 5, no. 3 (2015): 367–82. http://dx.doi.org/10.9734/bjmcs/2015/14398.

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8

BARWISE, J., D. GABBAY, and C. HARTONAS. "On the Logic of Information Flow." Logic Journal of IGPL 3, no. 1 (1995): 7–49. http://dx.doi.org/10.1093/jigpal/3.1.7.

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9

Vestad, Tor, David W. M. Marr, and Toshinori Munakata. "Flow resistance for microfluidic logic operations." Applied Physics Letters 84, no. 25 (2004): 5074–75. http://dx.doi.org/10.1063/1.1764592.

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10

Debray, Saumya K. "Flow analysis of dynamic logic programs." Journal of Logic Programming 7, no. 2 (1989): 149–76. http://dx.doi.org/10.1016/0743-1066(89)90013-7.

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11

de Bakker, J. W. "Comparative semantics for flow of control in logic programming without logic." Information and Computation 94, no. 2 (1991): 123–79. http://dx.doi.org/10.1016/0890-5401(91)90036-2.

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12

Dai, Wei Dong. "An Approach for Short Term Traffic Flow Forecasting Based on Fuzzy Logic Control." Applied Mechanics and Materials 336-338 (July 2013): 438–41. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.438.

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In this paper, fuzzy logic control is applied to forecast the short-term traffic flow and traffic guidance. Because of the factors of time correlation and spatial correlation, we construct the short-term traffic flow forecasting model using fuzzy logic control that can handle non-linear plant behavior. In order to find a feasibility way of traffic flow prediction, we deal the combination of time correlation traffic value and space correlation traffic value as the input variables. Considering the real condition, we use triangular and trapezoid membership function to design the belongings relati

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13

Berman, C. L., and L. H. Trevillyan. "Global flow optimization in automatic logic design." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 10, no. 5 (1991): 557–64. http://dx.doi.org/10.1109/43.79493.

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14

Trevillyan, Joyner, and Berman. "Global Flow Analysis in Automatic Logic Design." IEEE Transactions on Computers C-35, no. 1 (1986): 77–81. http://dx.doi.org/10.1109/tc.1986.1676664.

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15

Might, Matthew. "Logic-flow analysis of higher-order programs." ACM SIGPLAN Notices 42, no. 1 (2007): 185–98. http://dx.doi.org/10.1145/1190215.1190247.

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16

Vlachogiannis, J. G. "Fuzzy logic application in load flow studies." IEE Proceedings - Generation, Transmission and Distribution 148, no. 1 (2001): 34. http://dx.doi.org/10.1049/ip-gtd:20010032.

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17

Thae, Thae Ei Aung, and Chi Soe Zar. "Liquid Flow Control by Using Fuzzy Logic Controller." International Journal of Trend in Scientific Research and Development 2, no. 5 (2018): 2190–93. https://doi.org/10.31142/ijtsrd18263.

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Flow measurement and control are essential in plant process control. The fuzzy logic method is very useful for such problem solving approach such as hydro power generation. In this paper, rule base and membership function based on fuzzy logic is proposed for reservoir control of dam. The rule base and membership functions have a great influence on the performance and efficiency of the plant and also to optimize the hydro power generation in the high altitude region. In this paper, the liquid level in tank and MATLAB is used to design a Fuzzy Control. The control of liquid level and flow betwee

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18

ZHENG, DONGXI, SHAOHUA TANG, and SHAOFA LI. "WEB SERVICES SINGLE SIGN-ON PROTOCOL AND FORMAL ANALYSIS ON IT." Journal of Circuits, Systems and Computers 14, no. 05 (2005): 923–30. http://dx.doi.org/10.1142/s0218126605002714.

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Web Services technology is suitable for cross-platform and cross-application integration. To secure systems based on Web Services, a single sign-on protocol for Web Services supporting several login modes are presented. The architecture and the formalized flow of the protocol are described. The protocol is also analyzed and proven using an extended SVO logic.

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19

Martucci, A., and A. J. Volponi. "Fuzzy Fuel Flow Selection Logic for a Real Time Embedded Full Authority Digital Engine Control." Journal of Engineering for Gas Turbines and Power 125, no. 4 (2003): 909–16. http://dx.doi.org/10.1115/1.1365396.

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The control logic of the modern full authority digital engine control is comprised of many control loops, each of which has a specific purpose. Typical control loops include (but are not limited to) a high or low rotor speed governor, an acceleration and deceleration loop, and various limiting loops for temperature, speed, fuel flow, and rate of change of fuel flow. The logic that determines which of these loops is “in control” at any particular time has a history of being very simplistic. This selection logic is usually nothing more that a cascade of minimum and maximum selection logic gates.

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20

Al Tahtawi, Adnan Rafi, and Robi Kurniawan. "PH control for deep flow technique hydroponic IoT systems based on fuzzy logic controller." Jurnal Teknologi dan Sistem Komputer 8, no. 4 (2020): 323–29. http://dx.doi.org/10.14710/jtsiskom.2020.13822.

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In hydroponic cultivation sites, pH control is still carried manually by checking the pH level with a pH meter and providing a pH balancing liquid manually. This study aims to design an automatic pH control system in the Deep Flow Technique (DFT) hydroponic system that uses the Internet of Things (IoT) based Fuzzy Logic Controller (FLC). The SKU SEN0161 sensor detects the pH value as FLC inputs in an error value and its changes. These inputs are processed using Mamdani FLC embedded in the Arduino Mega 2560 microcontroller. The FLC produces an output in a pH liquid feeding duration using the pe

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21

Ataei, Samira, Wenmian Hua, Yihang Yang, et al. "An Open-Source EDA Flow for Asynchronous Logic." IEEE Design & Test 38, no. 2 (2021): 27–37. http://dx.doi.org/10.1109/mdat.2021.3051334.

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22

Abusorrah, Abdullah M. "Optimal Power Flow Using Adaptive Fuzzy Logic Controllers." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/975170.

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This paper presents an approach for optimum reactive power dispatch through the power network with flexible AC transmission systems (FACTSs) devices, using adaptive fuzzy logic controller (AFLC) driven by adaptive fuzzy sets (AFSs). The membership functions of AFLC are optimized based on 2nd-order fuzzy set specifications. The operation of FACTS devices (particularly, static VAR compensator (SVC)) and the setting of their control parameters (QSVC) are optimized dynamically based on the proposed AFLC to enhance the power system stability in addition to their main function of power flow control.

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23

Illman, Richard. "Self-Tested Data Flow Logic: A New Approach." IEEE Design & Test of Computers 2, no. 2 (1985): 50–58. http://dx.doi.org/10.1109/mdt.1985.294861.

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24

Cachera, David, Thomas Jensen, David Pichardie, and Vlad Rusu. "Extracting a data flow analyser in constructive logic." Theoretical Computer Science 342, no. 1 (2005): 56–78. http://dx.doi.org/10.1016/j.tcs.2005.06.004.

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25

Sagiv, Mooly, Nissim Francez, Michael Rodeh, and Reinhard Wilhelm. "A logic-based approach to program flow analysis." Acta Informatica 35, no. 6 (1998): 457–504. http://dx.doi.org/10.1007/s002360050128.

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26

Krishnakumar, B., M. Subaashini, E. Ganesh Kumar, and R. Arthi. "Power Flow Based Contingency Analysis Using Fuzzy LogiC." Procedia Engineering 38 (2012): 3603–13. http://dx.doi.org/10.1016/j.proeng.2012.06.417.

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27

Tsai, Chii-Shang, and Chuei-Tin Chang. "Optimal alarm logic design for mass-flow networks." AIChE Journal 43, no. 11 (1997): 3021–30. http://dx.doi.org/10.1002/aic.690431114.

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28

Ramskill, Nicholas P., and Mi Wang. "Boolean logic analysis for flow regime recognition of gas–liquid horizontal flow." Measurement Science and Technology 22, no. 10 (2011): 104016. http://dx.doi.org/10.1088/0957-0233/22/10/104016.

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29

Timany, Amin, Armaël Guéneau, and Lars Birkedal. "The Logical Essence of Well-Bracketed Control Flow." Proceedings of the ACM on Programming Languages 8, POPL (2024): 575–603. http://dx.doi.org/10.1145/3632862.

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A program is said to be well-bracketed if every called function must return before its caller can resume execution. This is often the case. Well-bracketedness has been captured semantically as a condition on strategies in fully abstract games models and multiple prior works have studied well-bracketedness by showing correctness/security properties of programs where such properties depend on the well-bracketed nature of control flow. The latter category of prior works have all used involved relational models with explicit state-transition systems capturing the relevant parts of the control flow

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30

Ao, Liang Zhong. "Faults Detection Logic Updating of Fuel Metering Valve on Aero-Engine." Advanced Materials Research 503-504 (April 2012): 1660–63. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1660.

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The basic faults detection logic of fuel flow metering valve can not detect all the faults. It may cause un-commanded in-flight shut-down (IFSD) on the aero-engine and threat the flight safety. The operation principle of fuel flow metering valve is introduced in this paper. The basic faults detection logic is given. Two IFSD examples are presented. To reduce the un-commanded IFSD, faults detection logic updating is discussed. It can be used to design the new control software of the aero-engine and improve the aero-engine’s reliability.

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31

Włodarczak, Sylwia, Marek Ochowiak, Michał Doligalski, et al. "Flow Rate Control by Means of Flow Meter and PLC Controller." Sensors 21, no. 18 (2021): 6153. http://dx.doi.org/10.3390/s21186153.

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This paper presents a design of a flow meter based on a programmable logic controller (PLC). The new construction of a flow meter controlled by PLC increases the possibilities for the control and automation of fluid flow. Additionally, the didactic potential of the use of simple automation in the form of a programmable logic controller was considered. A device enabling the measurement of fluid flow rate based on a PLC controller was designed, constructed, and tested. The choice of device was the Gems Sensors FT-210 series turbine flow sensor, which is characterized by low purchase and maintena

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32

Shao, Yi Chuan, Xing Jia Yao, and Li Wei Tian. "A Kind of Intelligent Client Flow Engine Based on Ajax." Applied Mechanics and Materials 220-223 (November 2012): 2504–7. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2504.

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To solve the lack of intelligence and the traditional Ajax engine server’s overload problem, we design a new Ajax engine based on the browser caching mechanism named ICFE (Intelligent Client Flow Engine) which separates the business logic layer from data access layer, and transfers business logic layer and the relevant data to the client catch to implement.

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33

Mahmood, A., J. Herath, and J. Jayasumana. "An Improved Data Flow Architecture for Logic Simulation Acceleration." VLSI Design 2, no. 3 (1994): 259–65. http://dx.doi.org/10.1155/1994/37474.

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The high degree of parallelism in the simulation of digital VLSI systems can be utilized by a data flow architecture to reduce the enormous simulation times. The existing logic simulation accelerators based on the data flow principle use a static data flow architecture along with a timing wheel mechanism to implement the event driven simulation algorithm. The drawback in this approach is that the timing wheel becomes a bottleneck to high simulation throughput. Other shortcomings of the existing architecture are the high communication overhead in the arbitration and distribution networks, and r

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34

Khor, Eik Fun. "Ball-Maze Block Diagram for Visualizing Logic Flow and Standardizing Code Structure." International Journal of Engineering and Computer Science 13, no. 06 (2024): 26219–28. http://dx.doi.org/10.18535/ijecs/v13i06.4847.

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Both flowchart and pseudocode are popular tools to describe program algorithms. However, they have their strengths as well as weaknesses. Flowchart visualizes logic flow effectively but sometimes it may not be conveniently converted to program code for novice programmers. On the other hand, pseudocode format is closer to program code but may not be as easily visualized as flow chart. To address the issue, this paper proposes an alternative graphical representation of logic flow, called ball-maze block diagram, which takes advantages of both flowchart and pseudocode in a single representation f

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35

Wang, Jian Ling, and Hong Bo Lai. "A Fuzzy Logic Method of Traffic State Recognition on Urban Traffic Networks." Advanced Materials Research 546-547 (July 2012): 1071–74. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1071.

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The study object is traffic flow on main road of urban traffic networks, the traffic condition is recognized by traffic flow theory and fuzzy logic method. The average space speed is a variable of the fact flow function, the road congestion degree is described by the ratio of fact flow and traffic capacity; the ratio of congestion time length and total time length is the congestion frequency. Considering congestion degree and congestion frequency, a fuzzy logic method is used to describe the traffic state by three grades: free, congestion and serious congestion. At last, the numerical example

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36

Murakawa, Yoshihiko, and Satoshi Tojo. "Imperfect Information Flow of Agents Communication in Arrow Logic." JUCS - Journal of Universal Computer Science 3, no. (11) (1997): 1266–81. https://doi.org/10.3217/jucs-003-11-1266.

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This paper formalizes the communication of agents with modal operators in arrow logic. A communication between agents consists of an agent's utterance and the other agent's perception, thus, both of the utterance and the perception are regarded as parts of a communication channel between agents. Information is regarded as a propositional content of a sentence. An information channel where information flows can be considered to be a program, in the sense that it gets an utterance as an input and puts an output to be a perception of some agent. In the real situations, th ere are so called miscom

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37

B N, Shobha, Govind R. Kadambi, S. R. Shankapal, and Yuri Vershinim. "Effect of variation in colour gradient information for optic flow computations." International Journal of Engineering & Technology 3, no. 4 (2014): 445. http://dx.doi.org/10.14419/ijet.v3i4.2722.

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Optic flow algorithms provide mapping of 3D velocities on 2D image space. Optic flow is computed on the pair of images which are in sequence and is normally gray scale images. Optic flow computation using Horn and Schunck assumes that brightness consistency is maintained. Colour optic flow has the advantage that optic flow vectors are obtained even when there is a variation of brightness in the input images. The use of colour bands for optic flow is investigated by considering gradients of colour bands and component gradients. Results of applying these two types of gradients to three colour mo

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38

Zahwa, Firas, Chi-Tsun Cheng, and Milan Simic. "Novel Intelligent Traffic Light Controller Design." Machines 12, no. 7 (2024): 469. http://dx.doi.org/10.3390/machines12070469.

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Efficient traffic flow management at intersections is vital for optimizing urban transportation networks. This paper presents a comprehensive approach to refining traffic flow by analyzing the capacity of roads and integrating fuzzy logic-based traffic light control systems. We examined the capacity of roads connecting intersections, considering factors such as road vehicle capacity, vehicle speed, and traffic flow volume, through detailed mathematical modeling and analysis. Control is determined by the maximum capacity of each road segment, providing valuable insights into traffic flow dynami

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39

Wang, Nuocheng. "HDL Synthesis, Inference and Technology Mapping Algorithms for FPGA Configuration." International Journal of Engineering and Technology 16, no. 1 (2024): 32–38. http://dx.doi.org/10.7763/ijet.2024.v16.1251.

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This paper introduces the logic control flow of Field-Programmable Gate Array (FPGA). The process from analyzing a digital circuit description to component mapping on FPGA is described thoroughly. This transforming process is partitioned into three major stages: combinational logic synthesis, sequential logic inference, and technology mapping. Specific algorithms are discussed for each stage.

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40

CRARY, KARL, ALEKSEY KLIGER, and FRANK PFENNING. "A monadic analysis of information flow security with mutable state." Journal of Functional Programming 15, no. 2 (2005): 249–91. http://dx.doi.org/10.1017/s0956796804005441.

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We explore the logical underpinnings of higher-order, security-typed languages with mutable state. Our analysis is based on a logic of information flow derived from lax logic and the monadic metalanguage. Thus, our logic deals with mutation explicitly, with impurity reflected in the types, in contrast to most higher-order security-typed languages, which deal with mutation implicitly via side-effects. More importantly, we also take a store-oriented view of security, wherein security levels are associated with elements of the mutable store. This view matches closely with the operational semantic

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41

Shalack, Vladimir I. "On the origins of logical pluralism." Philosophy Journal 15, no. 4 (2022): 88–97. http://dx.doi.org/10.21146/2072-0726-2022-15-4-88-97.

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The article presents a brief analysis of how the existence of various logics became possible. This is shown on the example of such well-known logical theories as syllogistics, temporal, multivalued, intuitionistic, paraconsistent and quantum logics. Each of them arose not on someone’s whim, but to solve specific problems. They are based on the most general ontological assumptions about the subject area under study. In formal logic ontological assumptions are refined in the concept of a model structure. Since it is impossible to talk about logic in isolation from the language used, the most g

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Price, Ilfryn. "Exploring FM’s dominant logics." Facilities 36, no. 1/2 (2018): 37–48. http://dx.doi.org/10.1108/f-01-2017-0005.

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Purpose This paper aims to investigate the service ecosystem of facility/facilities management (FM) against the Vargo and Lusch framework of service-dominant logic (S-D Logic). Design/methodology/approach A theoretical argument guided by previous research into service excellence in FM. Findings In the paper, two arguments are made. First, FM is still dominated by a contractual logic grounded in the tangible world of buildings and bills of quantities. Second, the reciprocal flow of services inherent in the S-D Logic offers a powerful tool for appreciating real service excellence and a business

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Tchupo, Dominique Engome, Sivamanoj Sreeramakavacham, Jung Hyup Kim, and Gretchen A. Macht. "Fuzzy Logic Patterns Communication and Team Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 145–49. http://dx.doi.org/10.1177/1541931213601519.

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Analyzing the complex maze of content and flow in communication between team members could help unlock researchers’ understanding of team performance. This research analyzes the communication patterns of two teams, based on their team performance, in order to test and expand a developing team mapping technique to assess content and flow between team members. A two-pronged methodology was executed: (1) communication data processing by (a) classifying utterances into content topics and flow, (b) indexing the speech acts, and (c) validation, and (2) analyzing the communication patterns using augm

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44

Ayaan, Naveed Malik. "Fuzzy Mathematical Analysis of Blood flow through Brachial Artery." Pakistan Journal of Emerging Science and Technologies 2, no. 1 (2021): 14. https://doi.org/10.5281/zenodo.5559093.

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Hypertension is a common disease that can be caused by a number of factors. Antidepressants. A variety of methods, including Doppler Ultrasonography, can be used to detect hypertension, which is aided by High Blood Pressure. The fuzzy logic approach is ideal for combining human expert knowledge with pre-existing numerical data. Fuzzy logic systems use human reasoning and decision-making to generate reliable output even when precise information is unavailable. In the case of biological systems, mathematical modelling is extremely complex, but fuzzy linguistic rules have been shown to aid in the

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45

Cheng, Guang Zhen, and Yuan Bo Cheng. "Electrical Control System Designing Based on Logic Relation Chart." Advanced Materials Research 201-203 (February 2011): 2338–42. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2338.

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Based on working flow and control demand for figuration machine of the grinding material, a work process sketch map is drawn. According to the logic design method and step of electrical control circuitry, a logic relation chart can be finished. Considering basic logic adaptable condition of relay expression, operation component work zone must be arranged reasonably and operation component logic expression must be expressed clearly and then the operation component logic expression can be ultimately converted into equivalent electrical control circuit diagram so as to realize control requirement

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46

Meier, Shawn, Sergio Mover, Gowtham Kaki, and Bor-Yuh Evan Chang. "Historia: Refuting Callback Reachability with Message-History Logics." Proceedings of the ACM on Programming Languages 7, OOPSLA2 (2023): 1905–34. http://dx.doi.org/10.1145/3622865.

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This paper considers the callback reachability problem --- determining if a callback can be called by an event-driven framework in an unexpected state. Event-driven programming frameworks are pervasive for creating user-interactive applications (apps) on just about every modern platform. Control flow between callbacks is determined by the framework and largely opaque to the programmer. This opacity of the callback control flow not only causes difficulty for the programmer but is also difficult for those developing static analysis. Previous static analysis techniques address this opacity either

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47

Lindsay, Mahiban, and M. Emimal. "Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system." International Journal of Applied Power Engineering (IJAPE) 13, no. 1 (2024): 123. http://dx.doi.org/10.11591/ijape.v13.i1.pp123-129.

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Fuzzy logic emerges as a powerful tool for optimizing power flow solutions, particularly in the context of deregulated power systems. By employing fuzzy logic controls, the ideal placement of distribution generators (DGs) can be determined, ensuring the reliability indices are identified through optimal power flow solutions and fuzzy logic controllers to maintain system feasibility. In a deregulated power system, strategic placement of distribution generator units plays a crucial role in minimizing power loss and enhancing overall system performance by mitigating fluctuations. To identify area

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Lindsay, Mahiban, and M. Emimal. "Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system." International Journal of Applied Power Engineering (IJAPE) 13, no. 1 (2023): 123–29. https://doi.org/10.11591/ijape.v13.i1.pp123-129.

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Fuzzy logic emerges as a powerful tool for optimizing power flow solutions, particularly in the context of deregulated power systems. By employing fuzzy logic controls, the ideal placement of distribution generators (DGs) can be determined, ensuring the reliability indices are identified through optimal power flow solutions and fuzzy logic controllers to maintain system feasibility. In a deregulated power system, strategic placement of distribution generator units plays a crucial role in minimizing power loss and enhancing overall system performance by mitigating fluctuations. To identify area

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Ulewicz, Robert, Dorota Jelonek, and Magdalena Mazur. "Implementation of Logic Flow in Planning and Production Control." Management and Production Engineering Review 7, no. 1 (2016): 89–94. http://dx.doi.org/10.1515/mper-2016-0010.

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Abstract The article presents the results of analysis, the use of continuous flow of logic at the stage of production planning and control of the company producing furniture. The concept of continuous flow tends to regulate the flow of materials in a manner that provides the shortest flow path without unnecessary activities (Muda is a Japanese word meaning waste), a constant takt and defined throughput at constant resource requirements for the so-called transfer of material through the whole process. In the study Glenday’d sieve method was used to identify the correct area, which requires the

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Mitali and Deepak Bhati. "Review Paper on Placement Algorithms." International Journal of Electrical and Electronics Research 4, no. 2 (2016): 49–52. http://dx.doi.org/10.37391/ijeer.040202.

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Placement is a step considered after floor planning in FPGA flow in ASIC. It defines the location of logic cells within functional blocks and to minimize the routing length. We adjust the logic cells in this way so that minimum interconnect length, area and density are used. In this paper we will discuss some of methods of placement of logic cells.

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