international modelica conference

However, in order to use the digital-twin model for maintenance of the bridge, the model updating process that Bekirov, EA, Asanov, MM, & (2020). Irradiance enhancement events in the coastal Stratocumulus dissipation process. Bloch, L, Holweger, J, Ballif, C, & Wyrsch, N (2019). In September 1997, version 1.0 of the Modelica specification was released which was the basis for a prototype implementation within the commercial Dymola software system. Towards a smart community evaluation and implementation toolkit-low-cost mini-district predictive controls with flexible tariffs. Kempe, MD, Holsapple, D, & Miller, DC (2020). Krishnamurthy, CK, Vesterberg, M, Bk, H, Lindfors, AV, & (2018). Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting. Geographic assessment of photovoltaic module environmental degradation stressors. [12] INCOSE hosts an annual meeting on MBSE, as well as MBSE working groups. As the number of aged bridges increases, the development of efficient bridge maintenance techniques is becoming more important. Virtual Power Plant Operation with Solar Power Forecast Errors and Demand Response. Haakana, J, Haapaniemi, J, Lassila, J, Partanen, J, & (2019). ModelicaMWorks[A], 10(ROTDYN2012) [C], 2012,. Solar irradiance forecasting models without on-site training measurements. Stein, JS, & Toolbox, P (2014). CAE ,, , 3 , SASP, 2022 14 in , International Workshop on Advanced Experimental Mechanics for Students and Young Researchers 2022 (IWAEM 22), 47, 7, 2022SSI2022, , ISSJ202218 , VUCA, 21, 212022, 83 , 2022 20, FREA, FREA, 30, The 2022 International Meeting for Future of Electron Devices, Kansai (IMFEDK 2022), The 19th International Conference on Precision Engineering (ICPE2022 in Nara), () , 21, 22-2 SDGs, SDGs4, The 35th International Symposium on Superconductivity (ISS2022), SCIS&ISIS2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems , 2 , 202255, JPW2022Japan Basic and Clinical Pharmacology Week 2022, 4, KISTEC, KSP)(, 202212311, , (10/4-12/22) 2710, 552022, 2022 84, 193Python FDTD, 5, 68, 181, 9 10 27, 2022 57 , , 246, 2022Python , 24 , 6 23_3 , &14 , 5228, 34 , , The 2022 Pacific Rim Mathematical Association Congress PRIMA Congress 2022, 1, 8 Society 5.0, 52, 2022 , , 1002022, 427 , 2022 , 202212, 194 , 2 , 1 OnlineDXMI, 8, 134, 4-, 31SEC22, ISAAT2022 (The 24th International Symposium on Advances in Abrasive Technology), , 100, 10, , FREA , 1, 31-, 5th International Workshop on Image Sensors and Imaging Systems IWISS2022, KISTEC, International Symposium on Semiconductor Manufacturing 2022 (ISSM 2022), (10/4-12/22) 2710, 2022 , 12th TSME-International Conference on Mechanical Engineering 2022 (TSME-ICoME 2022), (GRE2022), 426 - , 133, , 3 AIAI, , IDW '22 The 29th International Display Workshops, 2022 , 383, 13, , 10, , SICE2022, VE/VR, (10/4-12/22) 2710, , 1/2 , 4133 - -, 36 , 2/2 , IZES International Symposium on Zero-Carbon Energy Systems, 3 , 2022 , 3 , 20225, 1DCAEModelica2022 4Modelica, 134, , 29Mate 2023, 195 , 3 , 1DCAE1D2022 61D, 3 , nano tech 2023 22 , FG2022 , 2023(), , 2022 6, 118 . Estefan, 2007. Techno-economic assessment and deployment strategies for vertically-mounted photovoltaic panels. A methodology for designing decentralised energy systems with predictive control for heat pumps and thermal storage. The first thing you see upon entering the offices of PhysicsX is an 800cc two stroke motorbike powered by a snowmobile engine. Introduction1.1. Holmgren, WF, Lorenzo, AT, & (2017). Science China Information Sciences.2013, 56:082106(15), doi: 10.1007/s11432-013-4909-3 (SEI). Ransome, S. and Sutterlueti, J. Maplesoft develops high-performance software tools for engineering, science, and mathematics. It is part of systems engineering domain and falls into the mechatronic engineering field.. Memmel, E, Peters, D, Vlker, R, Schuldt, F, & (2019). International Journal of Performability Engineering. Holmgren, WF, Andrews, RW, & (2015). Feasibility of using sCO2 turbines to balance load in power grids with a high deployment of solar generation. Han Bian, Xiaohong Chen, Zhi Jin, Lin Liu, Smart3E: Enabling End Users to Express Their Needs for Smart Homes,RE2021:422-423. In the ideal cycle described by the engine's theoretical model, the Openmodelica[16] is an open-source Modelica-based modeling and simulation environment intended for industrial and academic usage. Qianqian Liu, Xiaohong Chen, Zhi Jin. Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile. Also worth noting are the documentation strings that can be associated with declarations and equations. Mikofski, MM, Hansen, CW, & (2017). Feng, C, & Zhang, J (2020). Lovati, M, Maturi, L, Adami, J, & Moser, D (2017). (SCI), 6. 616-623. Opportunities and Trends for Energy Storage Plus Solar in CAISO: 2014-2018. Its product suite reflects the philosophy that given great tools, people can do great things. Models are described using nonlinear time-dependent Castillo, A, Flicker, J, Hansen, CW, & (2019). Zimmerman, R, Panda, A, & Bulovi, V (2020). , , ..2011, 34(2):329-341. 2013: 431-436. Chteau, PA, Wunderlich, RF, Wang, TW, Lai, HT, & (2019). The influence of the solar radiation database and the photovoltaic simulator on the sizing and economics of photovoltaic-diesel generators. Stein, JS, Holmgren, WF, Forbess, J, & (2016). Yan Wang, Wen Zhong, Xiaohong Chen*, Jing Liu. Introduction1.1. Terlouw, T, AlSkaif, T, Bauer, C, & Sark, W van (2019). General, robust, and scalable methods for string level monitoring in utility scale PV systems. Xiaohong Chen, Xi Wu, Mengyao Zhao, Haiying Sun. Nunnari, G (2018). Effect of torque-tube parameters on rear-irradiance and rear-shading loss for bifacial PV performance on single-axis tracking systems. Camargo, LR, Gruber, K, Nitsch, F, & Dorner, W (2019). Lago, J, Brabandere, K De, Ridder, F De, & Schutter, B De (2018). Miskin, CK, Li, Y, Perna, A, Ellis, RG, Grubbs, EK, & (2019). Simcenter Amesim is a commercial simulation software for the modeling and analysis of multi-domain systems. Environment Model based Requirements Consistency Verification: An Example. 85355012021SR181287520211119, 9. Simcenter Amesim is a commercial simulation software for the modeling and analysis of multi-domain systems. Using safety requirement patterns to elicit requirements for railway interlocking systems. Vrettos, E, Kara, EC, Stewart, EM, & (2019). Maplesoft develops high-performance software tools for engineering, science, and mathematics. Pypvcell: An open-source solar cell modeling library in Python. Staring at the sun: a physical black-box solar performance model. (SCI), Chen Xiaohong, Liu Jing, Liu Zhiming. Ransome, S., Sutterlueti, J., Scholz, J, Stein, J.S. The first thing you see upon entering the offices of PhysicsX is an 800cc two stroke motorbike powered by a snowmobile engine. The Modelica Association also Hansen, CW, Holmgren, WF, Tuohy, A, & (2019). TASE2019,p. Ghotge, R, Snow, Y, Farahani, S, Lukszo, Z, & Wijk, A van (2020). Digital manufacturing has brought considerable values to the entire industry over the last decades. Pistellato, M, Traviglia, A, & Bergamasco, F (2020). On Constructing Software Environment Ontology for Time-Continuous Environment. ( Online 2022.. Estimating degradation rates from 27 different PV modules installed in desert conditions using the NREL/Rdtools. Byrne, RH, Nguyen, TA, Headley, A, & (2020). , 20224, 20223 , 40, 382 (), 43rd International Symposium on Dry Process (DPS2022), 4, HARCS2022 , 18, UP! The FMI may indicate that a problem with an electronic circuit or an electronic component has been detected. Multimedia Tools and Applications. Gaparovi, I, Gaparovi, M, & Medak, D (2018). Polo, J, Martn-Chivelet, N, Alonso-Garca, MC, & (2019). ", "Systems Engineering Vision 2020, version 2.03", Survey of model-based systems engineering (MBSE) methodologies, A Primer for Model-Based Systems Engineering, Model-based systems engineering: An emerging approach for modern systems, MBSE with the ARCADIA Method and the Capella Tool, An Exploration of Lessons Learned from NASA's MBSE Infusion and Modernization Initiative (MIAMI), Model Based Systems Engineering (MBSE) - NASA, https://en.wikipedia.org/w/index.php?title=Model-based_systems_engineering&oldid=1104591156, Creative Commons Attribution-ShareAlike License 3.0, Ana Lusa Ramos, Jos Vasconcelos Ferreira and Jaume Barcel. Introduction1.1. Gueymard, CA, Bright, JM, Lingfors, D, Habte, A, & (2019). Jie Liu,Jing Liu,MiaomiaoZhang,Haiying Sun,XiaohongChen,Dehui Du,Mingsong Chen:An Approach to Proving Proof Obligation of Hybrid Event B Based on DifferentialInvariants. Lago, J, Brabandere, K De, Ridder, F De, & (2018). Lave, M, Stein, J, & Smith, R (2016). As the number of aged bridges increases, the development of efficient bridge maintenance techniques is becoming more important. Kirchsteiger, H, & Steinmaurer, G (2020). This table presents the timeline of the Modelica specification history:[11]. Coppitters, D, Paepe, W De, & Contino, F (2019). The working principle of the organic Rankine cycle is the same as that of the Rankine cycle: the working fluid is pumped to a boiler where it is evaporated, passed through an expansion device (turbine, screw, scroll, or other expander), and then through a condenser heat exchanger where it is finally re-condensed.. Zapata, MZ, Wu, E, & Kleissl, J (2019). Simplifying the Formal Verification of Safety Requirements in Zone Controllers through Problem Frames and Constraints based Projection. Chen Xiaohong, Liu Jing, Liu Zhiming. Effects of Urban Environment on Solar PV Performance. CrossRef View Record in Scopus Google Scholar. Lucas, C, Guemri, M, & Tran, QT (2019). Xiaohong Chen, and Zhi Jin. Introduction to the open source PV LIB for python Photovoltaic system modelling package. Assessing the role of ageing and light availability in leaf mortality in the mango tree. Currently there are two distinct versions (pvlib-python and PVILB for Matlab) that differ in both structure and content. Ransome, S. and Sutterlueti, J. MacAlpine, SM, Wolfrom, CW, & (2018). CrossRef View Record in Scopus Google Scholar Xiaohong Chen, Jing Liu. Riihel, A, Kallio, V, Devraj, S, Sharma, A, & Lindfors, AV (2018). The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems.. RE2019, Xiaohong Chen,Ling Yin,Yijun Yu,Zhi Jin. Bhattacharya, S, Leopold, U, Braun, C, & Bongiovanni, F (2018). A case study quantifying the effect of thermal anomalies in two utility scale PV power plants. The Open Energy Modelling Framework (oemof)-A new approach to facilitate open science in energy system modelling. General noise support vector regression with non-constant uncertainty intervals for solar radiation prediction. Eliciting Timing Requirements for Cyber-Physical Systems: a Multiform Time based Approach. Reliability predictors for solar irradiance satellite-based forecast. New method for the early design of BIPV with electric storage: A case study in northern Italy. Bennett, JA, Fuhrman, J, Brown, T, Andrews, N, Fittro, R, & (2019). Forrester, Alexander, Andras Sobester, and Andy Keane, Engineering design via surrogate modelling: a practical guide, John Wiley & Sons, 2008. Extending the Four-Variable Model for Cyber-Physical Systems. Environment Model based Requirements Consistency Verification: An Example,RE Workshops2021:422-427, 3. Design considerations for agrophotovoltaic systems: maintaining PV area with increased crop yield. Forecasting the Class of Daily Clearness Index for PV Applications.. Prada, J, & Dorronsoro, JR (2018). Jing Xu, Xiaohong Chen, Tingliang Zhou, Zhengheng Yuan and Kezhen Huang. Diffusion of solar photovoltaic systems and electric vehicles among Dutch consumers: Implications for the energy transition. Many minor clarifications to functions, model conversions, and several other parts of the specification. 13.Xiaohong Chen, Bin Yin, Zhi Jin. Analysis and impact evaluation of missing data imputation in day-ahead PV generation forecasting. How big a battery?. 2008 IEEE International Conference on Emerging Technologies and Factory Automation, IEEE (2008), pp. Elsinga, B, Sark, W van, & (2017). A scalable method for estimating rooftop solar irradiation potential over large regions. Extending the Four-Variable Model for Cyber-Physical Systems. It is an online solution to test the practical skills of students in various programming platforms like Python, C, C++, Java, Scilab & Bash. Particularly, there have been many studies on digital-twin models of bridges for maintenance and SHM (Structure Health Monitering). WeAnimate: Motion-coherent animation generation from video data. Performance loss rate consistency and uncertainty across multiple methods and filtering criteria. Removed declare-before-use rule, refined package concept, refined when-clause, Initialization of models, standardization of graphical appearance, functions with mixed positional and named arguments, record constructor, enumerations, Overdetermined connector to model 3-dim. Nassar, YF, & Alsadi, SY (2019). Camargo, LR, Nitsch, F, Gruber, K, & Dorner, W (2018). Linkping University Electronic Press (2011), pp. A basic model component is defined by a model and contains equations that describe the relationship between the connector variables in a declarative form (i.e., without specifying the calculation order): The goal is that a connected set of model components leads to a set of differential, algebraic and discrete equations where the number of unknowns and the number of equations is identical. Pelaez, SA, Deline, CA, Greenberg, P, Stein, J, & Kostuk, R (2018). Klise, KA, & Stein, JS (2016). Digital manufacturing has brought considerable values to the entire industry over the last decades. Minute resolution measurement network for global horizontal and tilted solar irradiance for a transmission System Control Area in Southern Germany. Jordan, DC, Deline, C, Kurtz, SR, & (2017). Sossan, F, Scolari, E, Gupta, R, & (2019). Brown, PR, & OSullivan, FM (2019). Towards performance enhancement of hybrid power supply systems based on renewable energy sources. ;;;SHA, 2022-2-15,,202210004271.9, 6. x Benchmark Solar Power Forecasts. International Journal of Performability Engineering. Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and Forecasting. Jurack, A, Mamari, J Al, Al-Riyami, S, Scheuren, J, & (2019). Ranalli, J, Peerlings, EEM, & (2020). c Sreenath, S, Sudhakar, K, Yusop, AF, Solomin, E, & (2020). Cormode, D, Croft, N, Hamilton, R, & (2019). COMPSAC 2013. Power-flow-constrained asset optimization for off-grid power systems using selected Open-Source frameworks. In proceeding of the 18th IEEE International Requirements Engineering Conference, p401-402, 2010. Whitmire, C, Rokad, B, & Crumley, C (2019). A basic set of graphical annotations is standardized to ensure that the graphical appearance and layout of models in different Modelica tools is the same. The case of Santiago de Chile. EVENT SANE 2022 - Speech and Audio in the Northeast Date of EVENT: Thursday, Oct 6, 2022 Headley, A, Hansen, C, & Nguyen, T (2019). Achieving high efficiency static low-concentration photovoltaic module using hybrid lens arrays. OpenModelica is a free/libre and open source environment based on the Modelica modelling language for modelling, simulating, optimising and analysing complex dynamic systems. Kunaifi, K, Reinders, A, Lindig, S, Jaeger, M, & Moser, D (2020). 35-46. El International Colleges & Universities en un motor de bsqueda de educacin superior y de universidades internacionales acreditadas en todo el mundo. Irigoyen, A Berrueta, Heck, M, & (2018). Proceedings of 16th Asia-Pacific software Engineering Conference, APSEC 2009, p249-256, 2009. Model-based systems engineering (MBSE), according to the International Council on Systems Engineering (INCOSE), is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases. Ruth, D, & Muller, M (2018). Freitas, J de Sousa, Cronemberger, J, Soares, RM, & (2020). Andrews, R. W., J. S. Stein, C. Hansen and D. Riley (2014). Maitanova, N, Telle, JS, Hanke, B, Grottke, M, Schmidt, T, & (2020). 189-204. Kim, T, Ko, W, & Kim, J (2019). Modelica is an object-oriented, declarative, multi-domain modeling language for component-oriented modeling of complex systems, e.g., systems containing mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process-oriented subcomponents. Heery, EC, Lian, KY, Loke, LHL, Tan, HTW, & (2020). ) Worldwide evaluation and correction of irradiance measurements from personal weather stations under all-sky conditions. Mattsson, M. Andersson and K.J..Astrm: Object-oriented modeling and simulation. 3. It is precisely for these reasons open source software need to be built which would be cost effective for the entire society.In India, open source code software will have to come and stay in a big way for the benefit of our billion people. Summers, A, Johnson, J, Darbali-Zamora, R, Hansen, C, & (2020). Mabasa, B, Lysko, MD, Tazvinga, H, Mulaudzi, ST, & (2020). Yang, D, & Gueymard, CA (2020). Niccolai, A, & Nespoli, A (2020). Qianqian Liu, Xiaohong Chen, Zhi Jin. To improve the documentation available for FLOSS. Methodology of Kppen-Geiger-Photovoltaic climate classification and implications to worldwide mapping of PV system performance. Formally Verifying Sequence Diagrams for Safety Critical Systems. forces, torques, etc.). As the number of aged bridges increases, the development of efficient bridge maintenance techniques is becoming more important. Awara, S, Lynch, M, Pfenninger, S, Schell, K, & (2020). Estimating Aggregated Behind-the-Meter Photovoltaic Generation Using Smart Meter Data. Pelaez, SA, Deline, C, Greenberg, P, & (2019). Blaga, R (2019). However, in order to use the digital-twin model for maintenance of the bridge, the model updating process that Nascimento, M, Avila, AB de, Reiser, R, Pilla, ML, & (2019). reference [WWW Document], 2018. Decision Tree Regression with AdaBoost Ensemble Learning for Water Temperature Forecasting in Aquaponic Ecosystem. COMPSAC2015,pp.5-14, 2015. Article. = Pham, A. Kamusella, H. Neubert, Auto-Extraction of Modelica Code from Finite Element Analysis or Measurement Data," 8th International Modelica Conference, 2022 March 2011 in Dresden. Peet, BJA (2019). Siemenn, AE, Looney, EE, & (2020). Moraitis, P, Kausika, BB, & (2017). Ruf, H, Schroedter-Homscheidt, M, & (2015). Li, X, Mauzerall, DL, Wagner, F, & (2016). Younas, R, Imran, H, Riaz, MH, & (2019). Padey, P, Goulouti, K, Saint-Pierre, D Beloin, & (2020). Barbier, T, Blanc, P, & Saint-Drenan, YM (2019). Photovoltaic system modeling: A validation study at high latitudes with implementation of a novel DNI quality control method. [10] Hilding Elmqvist is the key architect of Modelica, but many other people have contributed as well (see appendix E in the Modelica specification[1]). A Scenario-Based Problem Decomposition. Capturing Software Requirements From the Expected Interactions Between the Software and its Environment: an Ontology based Approach. Hobbs, WB, Lave, M, & (2018). Camargo, LR, Valdes, J, Macia, YM, & Dorner, W (2019). JModelica.org (open source, discontinued) and Modelon Impact,[13] from the Swedish company Modelon AB, and Jiajia Yang, Xiaong Chen, Ling Yin. Lecture Notes in Computer Science, v 4798 LNAI, p 384-395, 2007. Evaluating the accuracy of various irradiance models in detecting soiling of irradiance sensors. Carrillo, RE, Leblanc, M, Schubnel, B, Langou, R, & (2020). Mikofski, M, Oumbe, A, Li, C, & (2016). Modeling for PV plant optimization. 6. Deline, C, White, R, Muller, M, Anderson, K, & (2020). Stainsby, W, Zimmerle, D, & Duggan, GP (2020). Xiaohong Chen, and Zhi Jin. Sustainable co-production of food and solar power to relax land-use constraints. Kooten, GC van, Withey, P, & Duan, J (2020). Hybrid renewable energy systems to supply electricity self-sufficient residential buildings in Central Europe. 99 , , . Lee, KH, Daisuke, S, Araki, K, Yamada, N, & (2019). Claeys, R, Protopapadaki, C, Saelens, D, & (2020). Automating Consistency Verification of Safety Requirements for Railway Interlocking Systems,RE2019. Yuanyang Wang, Xiaohong Chen, Haiying Sun, Mingsong Chen. Sun Position Identification in Sky Images for Nowcasting Application. Simulating the potential of swarm grids for pre-electrified communitiesA case study from Yemen. pvlib python: A python package for modeling solar energy systems. Ruf, H, Schroedter-Homscheidt, M, Beyer, HG, & (2016). Through virtually representing factories, resources, workforces and their skills, etc., digital manufacturing builds models and simulates product and process development [].The progress in information and Bognr, , Loonen, R, Valckenborg, RME, & (2018). Lorenz, E, Holland, N, Dittmann, A, Herzberg, W, & (2019). Does Energy Yield Increase when Conjoining a PV Module with a Thermoelectric Device?. 16.2010SR0003992009. Lee, KH, Araki, K, Elleuch, O, Kojima, N, & (2017). (2017). Thermolytic osmotic heat engine for low-grade heat harvesting: Thermodynamic investigation and potential application exploration. Mont, S Neven-du, Heinrich, M, Pfreundt, A, & (2020). Jnior, EFM, & Rther, R (2020). Klise, KA, Stein, JS, & (2017). Ransome, S, Stein, J, Holmgren, W, & (2016). [2] The Modelica Association also develops the free Modelica Standard Library[3] that contains about 1400 generic model components and 1200 functions in various domains, as of version 4.0.0. Hansen, CW, Stein, J, & Riley, DM (2017). Another example, containing both input connectors and physical connectors is the following component from Modelica Standard Library: The component SignalVoltage is balanced since, Again, checking with OpenModelica[16] gives. The codes are displayed in the form "SPN - FMI".The ECM / ECU also attaches a text description to the message that is transmitted over the J1939 data link. ", As of 2014, the scope of MBSE started to cover more Modeling and Simulation topics, in an attempt to bridge the gap between system model specifications and related system software simulations. Powering the blue economy: progress exploring marine renewable energy integration with ocean observations. Cavagnaro, RJ, Copping, AE, Green, R, & (2020). Reliable long-term performance assessment of commercial photovoltaic modules tested under field conditions over 5 years. COMPSAC 2013. Gurupira, T, & Rix, A (2017). Xiaohong Chen, Zhi Jin. The simulation engine may (and usually must) manipulate the equations symbolically to determine their order of execution and which components in the equation are inputs and which are outputs. Xiaohong Chen, Zhi Jin, and Lijun Yi. Salamanis, AI, Xanthopoulou, G, Bezas, N, Timplalexis, C, & (2020). 5. Kallio, V, & Riihel, A (2018). Yuanyang Wang, Xiaohong Chen, Ling Yin. [9], In September 2007, the MBSE approach was further generalized and popularized when INCOSE introduced its "MBSE 2020 Vision", which was not restricted to SysML, and supported other competitive modeling language standards, such as AP233, HLA, and Modelica. The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems.. In proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering(SEKE2012), pp. Arias, CA Toledo, Lujn, L Serrano, Lpez, J Abad, & (2019). Modeling Timing Requirements in Problem Frames Using CCSL. Carpentier, P, Chancelier, JP, Lara, M De, & Rigaut, T (2019). High-Resolution PV Forecasting from Imperfect Data: A Graph-Based Solution. IEEE Transaction on Intelligent Transportation System. SEKE2018:292-298. Camargo, LR, Valdes, J, Macia, YM, & Dorner, W (2019). Dimanchev, E, Hodge, J, & Parsons, J (2020). Maplesoft, a division of Waterloo Maple Inc. 2022. Requirements monitoring for Internetware: aninteraction based approach. Next there is the Kellison EXP001, the Batmobile-style racer that sprang from the mind of Jim Khler, C, Ruf, H, Steiner, A, Lee, D, & (2015). Yin Bin, Jin Zhi, Chen Xiaohong. Driesse, A, & Patel, N (2019). DPTool: A Tool for Guiding the Problem Description and the Problem Projection. 25.,,,,.,2014,44(1):70-90.

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