Journal articles: 'Intelligent design'

1

Powell, J. A. "Intelligent design teams design intelligent buildings." Habitat International 14, no. 2-3 (January 1990): 83–94. http://dx.doi.org/10.1016/0197-3975(90)90038-3.

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Regli, William C. "Design and Intelligent Machines." AI Magazine 38, no. 3 (October 2, 2017): 63–65. http://dx.doi.org/10.1609/aimag.v38i3.2752.

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Many are interested in the design of intelligent machines. I am interested in design and how intelligent machines can transform this human endeavor in positive ways. I would like us to renew our consideration of some of the fundamental questions from the field of artificial intelligence, questions about human creativity and agency, in the context of design.

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刘, 恒丽. "Innovative Design of Manhole Covers and Intelligent Monitoring System Interface for Intelligent Cities." Design 08, no. 02 (2023): 535–47. http://dx.doi.org/10.12677/design.2023.82069.

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Dai, Dan Dan. "Artificial Intelligence Technology Assisted Music Teaching Design." Scientific Programming 2021 (December 21, 2021): 1–10. http://dx.doi.org/10.1155/2021/9141339.

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With the continuous improvement of the global economic level and scientific level, information technology has penetrated into all fields of people’s life. Today, the strategy of vigorously promoting educational modernization has created conditions for intelligent music teaching and promoted the in-depth application of artificial intelligence technology in education. Intelligent instructional design supported by artificial intelligence technology is the deep integration of information technology and music teaching. Through the intelligent perception technology, learning analysis technology, and emotional computing technology of artificial intelligence, an intelligent music teaching model is established. The online learning and education platform based on big data intelligence provides teachers with rich teaching methods, provides personalized evaluation and adaptive learning services for students’ learning, and helps improve the efficiency of music teaching. The traditional teaching design model cannot effectively guide the intelligent music teaching and cannot meet the needs of students’ development. Therefore, on the basis of previous studies, the author studies the intelligent teaching design supported by artificial intelligence technology. This study uses new generation information technologies such as big data, Internet of things, mobile Internet, and artificial intelligence to build a complete set of scientific intelligent music teaching design model. Wisdom teaching provides a reference for the whole process before, during, and after class, helps guide teachers to better carry out wisdom teaching, helps students explore cooperative and autonomous learning, and promotes the wisdom transformation of teaching methods and learning methods to a certain extent. Music classroom teaching has become more targeted and effective. Therefore, it is of great significance to cultivate intelligent music talents.

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Harris, William S., and John H. Calvert. "Intelligent Design." National Catholic Bioethics Quarterly 3, no. 3 (2003): 531–61. http://dx.doi.org/10.5840/ncbq20033333.

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Shelton, Jim D. "INTELLIGENT DESIGN." Southwest Philosophy Review 19, no. 2 (2003): 113–17. http://dx.doi.org/10.5840/swphilreview200319245.

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Baker, Robin. "INTELLIGENT DESIGN." Design Management Journal (Former Series) 4, no. 2 (June 10, 2010): 44–47. http://dx.doi.org/10.1111/j.1948-7169.1993.tb00136.x.

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Terry, Mark. "Intelligent Design." American Biology Teacher 76, no. 2 (February 1, 2014): 137–38. http://dx.doi.org/10.1525/abt.2014.76.2.12b.

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Crease, Robert P. "Intelligent design." Physics World 18, no. 10 (October 2005): 19. http://dx.doi.org/10.1088/2058-7058/18/10/27.

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Hollyhead, Steven. "Intelligent design." Manufacturing Engineer 72, no. 3 (1993): 106. http://dx.doi.org/10.1049/me:19930053.

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Hasker, William. "Intelligent Design." Philosophy Compass 4, no. 3 (May 2009): 586–97. http://dx.doi.org/10.1111/j.1747-9991.2009.00213.x.

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12

Katz, Barry M. "Intelligent Design." Technology and Culture 47, no. 2 (2006): 381–90. http://dx.doi.org/10.1353/tech.2006.0130.

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Watkowski, Jim, Donald DeSalvo, and Naomi Ando. "Intelligent design." Metal Finishing 104, no. 1 (January 2006): 25–27. http://dx.doi.org/10.1016/s0026-0576(06)80026-7.

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Kezunovic, Mladen. "Intelligent Design." IEEE Power and Energy Magazine 8, no. 6 (November 2010): 37–44. http://dx.doi.org/10.1109/mpe.2010.938516.

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Foroughi, Leila M., and Adam J. Matzger. "Intelligent design." Nature Chemistry 3, no. 9 (August 23, 2011): 663–65. http://dx.doi.org/10.1038/nchem.1128.

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Leise, Christopher. "Design Intelligent." American Book Review 32, no. 4 (2011): 17. http://dx.doi.org/10.1353/abr.2011.0097.

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Lutz, Sebastian. "Empiricism and Intelligent Design II: Analyzing Intelligent Design." Erkenntnis 78, no. 3 (September 29, 2012): 681–98. http://dx.doi.org/10.1007/s10670-012-9392-5.

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18

Decker, Mark D. "Why Intelligent Design Isn't Intelligent." Cell Biology Education 4, no. 2 (June 2005): 121–22. http://dx.doi.org/10.1187/cbe.05-02-0071.

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19

Downing, Jeff, and June Koelker. "Infomart: Intelligent Design, Intelligent Use." Library Hi Tech 5, no. 4 (April 1987): 29–39. http://dx.doi.org/10.1108/eb047705.

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20

Kroner, Walter M. "Intelligent architecture through intelligent design." Futures 21, no. 4 (August 1989): 319–33. http://dx.doi.org/10.1016/s0016-3287(89)80001-1.

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21

陈, 杰. "Design and Study of Intelligent Guide Rod." Design 08, no. 03 (2023): 2051–58. http://dx.doi.org/10.12677/design.2023.83245.

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Aji S, Burhan, and Dwijoko Purbohadi. "Intelligent Tutoring System Design Using Markov Decision Process." Emerging Information Science and Technology 3, no. 1 (April 6, 2023): 19–28. http://dx.doi.org/10.18196/eist.v3i1.16888.

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Class learning is a teaching and learning activity involving both teachers and students. Students in the class have different levels of intelligence, divided into three categories: lowest, average, and most intelligent. Teachers usually pay less attention to less intelligent students. Consider a student who is not intelligent enough to remain in school. However, if a smart student is required to repeat content he already comprehends, he will become bored. Therefore, this study developed an intelligent tutoring system (ITS)-based learning application with a Markov decision process (MDP). The combination of ITS and MDP enabled intelligence to determine the most appropriate subsequent step by delivering tutorials and examination questions that guide students to efficiently attain intelligence levels.

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蒲, 桂平. "Intelligent Shopping Trolley Design Based on Service Design Concepts." Design 09, no. 03 (2024): 924–31. http://dx.doi.org/10.12677/design.2024.93401.

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Zhang, Linjing. "Research on the Application of Interaction Design in the Functional Design of Intelligent-home Products." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012058. http://dx.doi.org/10.1088/1742-6596/2074/1/012058.

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Abstract The networking operation of intelligent-home products can expand more functions and bring consumers more in-depth interactive experience. The effective integration of interaction design, intelligence and info tech in intelligent-home products can effectively solve the shortcomings and problems of home market products. Based on this, this paper first analyses the concept and value of product functional interaction design, then studies the functional design of intelligent-home products based on interaction design, and finally gives the utilization strategy of interactive design in the functional design of intelligent-home products.

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Wang, Yi Jun, Jing He Wang, Wu Xuan Jia, Hai Bo Liu, and Shi Liang Tu. "Design and Realization of a General Intelligent Component Platform." Advanced Materials Research 631-632 (January 2013): 1177–82. http://dx.doi.org/10.4028/www.scientific.net/amr.631-632.1177.

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Smart primary equipment as typical components and structure basis of intelligent substation. Intelligent components which is the core component of smart primary equipment, will be the access platform of various smart unit, and smart unit will be the applied terminal of specific intelligence technology. This paper designed a general intelligent component platform, the module structure and configuration program of the intelligence components are given. Meanwhile, the use of The real-time operating systems was used to to manage the cooperative work of intelligence unit, so as to meet the various requirements of the general intelligent equipment. Finally, the real-time validation of the smart component platform was carried out by the GOOSE message. The results meet the requirements of IEC61850 standard and provide a reference for the further research and development of intelligent components.

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CORABI, JOSEPH. "Intelligent design and theodicy." Religious Studies 45, no. 1 (February 4, 2009): 21–35. http://dx.doi.org/10.1017/s0034412508009773.

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AbstractThis paper explores a seldom discussed difficulty for traditional theists who wish to embrace the purported evidence employed in biochemical intelligent design arguments, and who also employ a commonly used element in their theodicies – namely, the claim that God would have reason to make a relatively orderly and self-sufficient world with stable and simple natural laws. I begin by introducing intelligent design arguments and the varieties of theodicy at issue, then I argue that there is at least a strong prima facie tension between these theodicies and the claim that God intelligently designed biochemical systems in humans and other organisms. Subsequently, I examine three strategies for resolving this tension, in increasing order of plausibility. At the end of the paper, I raise and briefly discuss some wider issues for theists enamoured with theodicy approaches that emphasize natural orderliness and the stability of laws of nature.

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27

Li, Xiao Di, Wei Ping Hu, and Xiao Ping Yang. "Thinking on the Water System Design Method of Intelligent Civil Ecological Agriculture Residential Buildings." Applied Mechanics and Materials 357-360 (August 2013): 487–91. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.487.

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The intelligent civil ecological agriculture residential building is the authors creative idea. The design of its water system, as one of the important contents, means providing water according to the demand of the vegetables and flowers growth intelligently, instead of watering by labors. In this way, humans planting experience and intelligence will be endowed with building facilities, thus constructing a small automatic family farming system with the symbiosis of man, machine and plant. Based on new achievements of modern science and technology, a reasonable energy-conservative and artistic water supply system is studied with logical method and application. In future, intelligent water supply in agriculture residential building is the trend, which could be achieved by intelligent application of modern electronic information technology.

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Xiang, Wei, Ling-yun Sun, Wei-tao You, and Chang-yuan Yang. "Crowdsourcing intelligent design." Frontiers of Information Technology & Electronic Engineering 19, no. 1 (January 2018): 126–38. http://dx.doi.org/10.1631/fitee.1700810.

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29

Yang, Quangang, and Reidsema Carl. "Intelligent Design Advisor." International Journal of Enterprise Information Systems 2, no. 1 (January 2006): 1–16. http://dx.doi.org/10.4018/jeis.2006010101.

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30

PIGLIUCCI, MASSIMO. "“INTELLIGENT DESIGN THEORY”." BioScience 51, no. 5 (2001): 411. http://dx.doi.org/10.1641/0006-3568(2001)051[0411:idt]2.0.co;2.

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31

Graf, N. A. "Intelligent detector design." Journal of Instrumentation 6, no. 01 (January 12, 2011): C01077. http://dx.doi.org/10.1088/1748-0221/6/01/c01077.

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32

Heller, Dana. "Intelligent Self-Design." Television & New Media 10, no. 1 (September 19, 2008): 77–79. http://dx.doi.org/10.1177/1527476408325113.

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33

Johnson, Noel T. "Debating intelligent design." Lancet 367, no. 9515 (March 2006): 984–85. http://dx.doi.org/10.1016/s0140-6736(06)68420-1.

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34

Fuller, Steve. "Understanding intelligent design." Lancet 372, no. 9653 (November 2008): 1880. http://dx.doi.org/10.1016/s0140-6736(08)61807-3.

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35

Beckwith, Francis J., and Walter Bradley. "Letters: Intelligent Design." Academe 91, no. 3 (2005): 12. http://dx.doi.org/10.2307/40252775.

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36

Segal, Edwin S. "Intelligent Design Again." General Anthropology 13, no. 2 (September 2006): 5–6. http://dx.doi.org/10.1525/ga.2006.13.2.5.

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37

Lamberti, Donna M. "INTELLIGENT SYSTEMS DESIGN." ACM SIGCHI Bulletin 19, no. 2 (October 1987): 54. http://dx.doi.org/10.1145/36111.1045597.

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38

Douglas, Kate. "Intelligent without design." New Scientist 229, no. 3066 (March 2016): 35–38. http://dx.doi.org/10.1016/s0262-4079(16)30524-3.

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39

Li, Pengjiao, and Jun Yang. "PSO Algorithm-Based Design of Intelligent Education Personalization System." Computational Intelligence and Neuroscience 2022 (July 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/9617048.

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The application of artificial intelligence in the field of education is becoming more and more extensive and in-depth. The intelligent education system can not only solve the limitations of location, time, and resources in the traditional learning field but it can also provide learners with a convenient, real-time, and interactive learning environment and has become one of the important applications in the Internet field. Particle swarm optimization (PSO) is a swarm intelligence-enabled stochastic optimization scheme. It is derived from a model of bird population foraging behavior. Because of its benefits of ease of implementation, high accuracy, and quick convergence, this algorithm has gained the attention of academics, and it has demonstrated its supremacy in addressing real issues. This paper aims to study the optimization of PSO in the field of computational intelligence, improve the matching degree of learning resource recommendation and learning path optimization, and improve the learning efficiency of online learners. This paper suggests intelligent education as the center, takes the PSO algorithm as the main research object, and expounds the related concepts of intelligent education and PSO algorithm. It uses swarm intelligence algorithms for intelligent education personalized services. He focuses on PSO algorithm and its work in intelligent education recommendation and learning path planning. Experiments show that the average value of the difference between the two obtained by the NBPSO algorithm is 1.13E + 02 and the variance 1.88E + 02 is the smallest. Therefore, PSO aids in improving the quality and consistency of online course resource development. In conclusion, the research results of this paper further demonstrate the advantages of PSO algorithm in solving the problem of personalized service in intelligent education. It can promote the in-depth application of swarm intelligence optimization algorithms in intelligent online learning systems. This effectively enhances the intelligent service level of the online learning system and increases the efficiency of online learning.

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Huang, Chihan, and Junling Xiong. "Intelligent Community Scheme Based on Vehicle Design." Highlights in Science, Engineering and Technology 57 (July 11, 2023): 85–92. http://dx.doi.org/10.54097/hset.v57i.9984.

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With the help of cutting-edge technologies, we propose a feasible intelligent community scheme concept by designing vehicles with different functions. Firstly, we send a questionnaire to the public and use the AHP method to analyze. We find that residents have a greater demand for leisure travel, medical security and safety protection. Secondly, we design three different means of transportation, namely intelligent drones, intelligent medical vehicles and intelligent leisure vehicles to solve the problem. In each design, its importance and its innovation points are detailed. Then, in order to meet the intelligent needs of residents, we design the intelligent community APP, which is divided into the elder version and the younger version, to provide residents with more convenient and comprehensive services. The scheme we proposed improved the automation and intelligence of the community, thus providing a more comfortable environment.

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Carroll, John M. "Using the User's Intelligence to Design Intelligent Interfaces." Proceedings of the Human Factors Society Annual Meeting 31, no. 3 (September 1987): 281–84. http://dx.doi.org/10.1177/154193128703100302.

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To design intelligent interfaces it can be useful to start from a consideration of what users already know and expect to do. This is not the only way to design intelligent interfaces and in fact not the typical method in practice. Several examples are discussed to urge that current practice be broadened to correct this.

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WANG, Qiang. "Research and Application of “Intelligent Ergonomics” in Industrial Design." E3S Web of Conferences 179 (2020): 02112. http://dx.doi.org/10.1051/e3sconf/202017902112.

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In the context of artificial intelligence penetrating into the field of industrial design, “intelligent ergonomics” will occupy an important position in industrial design in the future. Based on this, based on the interpretation of “intelligent ergonomics”, this article discusses the relationship between “intelligent ergonomics” and industrial design, and then discusses the application of “intelligent ergonomics” in industrial design. The situation has been analyzed to provide a reference for people who are concerned about this topic.

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Nowaková, Jana, and Miroslav Pokorný. "Intelligent Controller Design by the Artificial Intelligence Methods." Sensors 20, no. 16 (August 10, 2020): 4454. http://dx.doi.org/10.3390/s20164454.

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With the rapid growth of sensor networks and the enormous, fast-growing volumes of data collected from these sensors, there is a question relating to the way it will be used, and not only collected and analyzed. The data from these sensors are traditionally used for controlling and influencing the states and processes. Standard controllers are available and successfully implemented. However, with the data-driven era we are facing nowadays, there is an opportunity to use controllers, which can include much information, elusive for common controllers. Our goal is to propose a design of an intelligent controller–a conventional controller, but with a non-conventional method of designing its parameters using approaches of artificial intelligence combining fuzzy and genetics methods. Intelligent adaptation of parameters of the control system is performed using data from the sensors measured in the controlled process. All parts designed are based on non-conventional methods and are verified by simulations. The identification of the system’s parameters is based on parameter optimization by means of its difference equation using genetic algorithms. The continuous monitoring of the quality control process and the design of the controller parameters are conducted using a fuzzy expert system of the Mamdani type, or the Takagi–Sugeno type. The concept of the intelligent control system is open and easily expandable.

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Wang, Bin, Jian Jun Chen, and Jie Tao. "Overview of Intelligent Design on Mold." Advanced Materials Research 459 (January 2012): 394–97. http://dx.doi.org/10.4028/www.scientific.net/amr.459.394.

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Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail

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VASYLKIVSKYI, Mikola, Ganna VARGATYUK, and Olga BOLDYREVA. "INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (February 23, 2023): 26–32. http://dx.doi.org/10.31891/2307-5732-2023-317-1-26-32.

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The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key components of the intelligent controller in the future. The joint optimization of these components, which will provide better system performance, is considered. It was determined that instead of using a complex mathematical method of optimization, it is possible to use machine learning, which has less complexity and can adapt to network conditions. A 6G radio interface design based on a combination of model-driven and data-driven artificial intelligence is investigated and is expected to provide customized radio interface optimization from pre-configuration to self-learning. The specifics of configuring the network scheme and transmission parameters at the level of subscriber equipment and services using a personalized radio interface to maximize the individual user experience without compromising the throughput of the system as a whole are determined. Artificial intelligence is considered, which will be a built-in function of the radio interface that creates an intelligent physical layer and is responsible for MAC access control, network management optimization (such as load balancing and power saving), replacing some non-linear or non-convex algorithms in receiver modules or compensation of shortcomings in non-linear models. Built-in intelligence has been studied, which will make the 6G physical layer more advanced and efficient, facilitate the optimization of structural elements of the physical layer and procedural design, including the possible change of the receiver architecture, will help implement new detection and positioning capabilities, which, in turn, will significantly affect the design of radio interface components. The requirements for the 6G network are defined, which provide for the creation of a single network with scanning and communication functions, which must be integrated into a single structure at the stage of radio interface design. The specifics of carefully designing a communication and scanning network that will offer full scanning capabilities and more fully meet all key performance indicators in the communications industry are explored.

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Wang, Zuyao, and Yuhong Zhang. "A Study of Ethics on Intelligent Nonlinear Prediction Creative Design." Scientific Programming 2022 (August 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/8616308.

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In order to build a safe, credible, responsible, and sustainable intelligent nonlinear prediction creative design system, this paper explores the process of intelligent creative design through four stages of user research, concept ideation, design generation, and design evaluation, then discusses the potential ethical issues in three fields of data perception, experiential computing, and intelligent production in the process of intelligent creative design; and then analyzes the ethical dilemmas that intelligent creative design systems may face. It can establish a necessary theoretical foundation for the upcoming vigorous development of intelligent creative design and set up the situation to rethink design values in the age of artificial intelligence.

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TOMIYAMA, Tetsuo. "Special Issue on Intelligent Manufacturing. Intelligent Design." Journal of the Japan Society for Precision Engineering 59, no. 11 (1993): 1761–66. http://dx.doi.org/10.2493/jjspe.59.1761.

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Syahrizal, Syahrizal, Fifi Yasmi, and Thomson Mary. "Discourse on Artificial Intelligence Design Using ITS and SDLC Methods in Building Islamic Religious Education Learning Applications." Journal of Pragmatics and Discourse Research 3, no. 1 (January 25, 2023): 46–28. http://dx.doi.org/10.51817/jpdr.v3i1.330.

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The development of increasingly sophisticated programming language technology where designed algorithms are able to think intelligently have been used for various purposes that are good for humans. This technology can also be applied to Islamic religious learning by using an intelligent tutoring system combined with artificial intelligence to: find sources of books, source modules, hadiths, verses of the Koran and their translations that are really related to learning with correct and solid data and compare Islamic teaching methods. The application program was built using two methods, namely the system design method System Development Life Cycle and the Intelligent Tutoring System method. The System Development Life Cycle method is used to build a comprehensive system that includes design tools such as use cases, activities, classes, sequences. While the Intelligent Tutoring System method is used in designing intelligent algorithms with a programming language as a machine to operate this learning Artificial Intelligence system. The result of this study is a smart application program for Islamic religious learning and is applied in high schools in the province of West Sumatra, Indonesia with an application effectiveness level of up to 96% with an error rate index of 0.23.

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Sharma, Nitu, and Nitin Janwe. "To Design and Develop Intelligent Exercise System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 64–67. http://dx.doi.org/10.31142/ijtsrd18387.

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Wu, Tong. "Design and Application of Intelligent House Robot." Learning & Education 9, no. 3 (December 29, 2020): 49. http://dx.doi.org/10.18282/l-e.v9i3.1572.

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As a family-oriented hexapod bionic intelligent house robot, it takes life safety monitoring, intelligent house control, air quality detection, family security, automatic inspection and obstacle avoidance as its main functions. Combined with core technologies including Face and Radio Frequency Identification, Electromagnetic Resonance and Induction, LAM, Intelligent Navigation and Cloud Robot, the robot is established a unique triangular gait in the form of hexapod, which can maintain the function and action stability in various environments, thus become a family housekeeper with multiful functions and practical intelligence.

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Journal articles on the topic 'Intelligent design'

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