Journal articles: 'Intelligent software'

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Wong, A. "Intelligent Software Agents." Computer Communications 23, no. 7 (March 2000): 695–96. http://dx.doi.org/10.1016/s0140-3664(99)00186-3.

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Zhou, Bao Yu, and Li Tian. "Designing Highly Intelligent Unmanned Aerial Vehicle-Borne Software." Applied Mechanics and Materials 241-244 (December 2012): 2722–27. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2722.

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The existing software borne by an unmanned aerial vehicle (UAV) is mostly made up of functional modules with a simple design for meeting its functional requirements, thus being unable for the UAV to meet the requirements for its software to be intelligent, integrated and credible. To meet the requirements for the new-type UAV to be functionally varied, highly autonomous and intelligent, we construct the intelligent database and the network-adaptive and real-time middleware so as to greatly enhance the intelligence of the UAV-borne software and the autonomous flight capability of the UAV, paving a firm foundation for enhancing the functional diversity, autonomy and intelligence of the future advanced UAV.

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Santofimia, María J., Francisco Moya, Félix J. Villanueva, David Villa, and Juan C. López. "How Intelligent Are Ambient Intelligence Systems?" International Journal of Ambient Computing and Intelligence 2, no. 1 (January 2010): 66–72. http://dx.doi.org/10.4018/jaci.2010010106.

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Since the appearance of the Ambient Intelligence paradigm, as an evolution of the Ubiquitous Computing, a great deal of the research efforts in this ?eld have been mainly aimed at anticipating user actions and needs, out of a pre?xed set. However, Ambient Intelligence is not just constrained to user behaviour pattern matching, but to wisely supervise the whole environment, satisfying those unforeseen requirements or needs, by means of rational decisions. This work points at the lack of commonsense reasoning, as the main reason underlying the existance of these idiots savant systems, capable of accomplishing very speci?c and complex tasks, but incapable of making decisions out of the pre?xed behavioral patterns. This work advocates for the integration of the commonsense reasoning and understanding capabilities as the key elements in bridging the gap between idiot savant systems and real Ambient Intelligence systems.

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Xu, Rui Yang, Xin Huang, Jie Zhang, Yulin Lu, Ge Wu, and Zheng Yan. "Software Defined Intelligent Building." International Journal of Information Security and Privacy 9, no. 3 (July 2015): 84–99. http://dx.doi.org/10.4018/ijisp.2015070105.

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The networks of intelligent building are usually consist of a great number of smart devices. Since many smart devices only support on-site configuration and upgrade, and communication between devices could be observed and even altered by attackers, efficiency and security are two key concerns in maintaining and managing the devices used in intelligent building networks. In this paper, the authors apply the technology of software defined networking to satisfy the requirement for efficiency in intelligent building networks. More specific, a protocol stack in smart devices that support OpenFlow is designed. In addition, the authors designed the lightweight security mechanism with two foundation protocols and a full protocol that uses the foundation protocols as example. Performance and session key establishment for the security mechanism are also discussed.

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Inaba, Masayuki. "Software for Intelligent Robots." Journal of the Robotics Society of Japan 30, no. 9 (2012): 824–29. http://dx.doi.org/10.7210/jrsj.30.824.

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Crawford, P. "Review: Intelligent Software Agents." Computer Bulletin 41, no. 3 (May 1, 1999): 31. http://dx.doi.org/10.1093/combul/41.3.31-c.

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Ayob, Masri, Abdul Razak Hamdan, Salwani Abdullah, Zalinda Othman, Mohd Zakree Ahmad Nazri, Kiftiah Abd Razak, Rohana Tan, et al. "Intelligent Examination Timetabling Software." Procedia - Social and Behavioral Sciences 18 (2011): 600–608. http://dx.doi.org/10.1016/j.sbspro.2011.05.087.

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Chu, James. ""Intelligent" Software-Defined Radio ( [Book/Software Reviews]." IEEE Microwave Magazine 17, no. 11 (November 2016): 82–98. http://dx.doi.org/10.1109/mmm.2016.2600950.

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Mahmudova, Shafagat. "Development of a Conceptual Model for Intelligent Software System Designing." Review of Information Engineering and Applications 9, no. 1 (April 18, 2022): 12–22. http://dx.doi.org/10.18488/79.v9i1.2967.

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This article provides information on the design of intelligent software systems. An intelligent software system refers to any software using artificial intelligence to analyze and interpret data or to communicate with systems and people. The article substantiates the relevance of the issue and highlights existing problems. The following factors are taken into consideration when assessing the problems of intelligent software system designing: easy data collection, low cost of developing intelligent systems, availability of experts and necessary resources (computers, program developers, software, etc.). The article also reports of related studies and identifies application areas. A conceptual model is developed for the design of intelligent software systems. The stages, components, directions, etc. indicated in the conceptual model for the design of intelligent software systems are studied and the characteristics of each are determined. Some examples of design types by the fields of activity are identified. The developed model can be used in the design of intelligent software systems related to any instrumental programming.

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Guo, Wang, Hui Shu, Yeming Gu, Yuyao Huang, Hao Zhao, and Yang Li. "A Novel Virus Capable of Intelligent Program Infection through Software Framework Function Recognition." Electronics 12, no. 2 (January 16, 2023): 460. http://dx.doi.org/10.3390/electronics12020460.

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Viruses are one of the main threats to the security of today’s cyberspace. With the continuous development of virus and artificial intelligence technologies in recent years, the intelligentization of virus technology has become a trend. It is of urgent significance to study and combat intelligent viruses. In this paper, we design a new type of confirmatory virus from the attacker’s perspective that can intelligently infect software frameworks. We aim for structural software as the target and use BCSD (binary code similarity detection) to identify the framework. By incorporating a software framework functional structure recognition model in the virus, the virus is enabled to intelligently recognize software framework functions in executable files. This paper evaluates the BCSD model that is suitable for a virus to carry and constructs a lightweight BCSD model with a knowledge distillation technique. This research proposes a software framework functional structure recognition algorithm, which effectively reduces the recognition precision’s dependence on the BCSD model. Finally, this study discusses the next researching direction of intelligent viruses. This paper aims to provide a reference for the research of detection technology for possible intelligent viruses. Consequently, focused and effective defense strategies could be proposed and the technical system of malware detection could be reinforced.

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Fan, Rui, and Xiao Hui Liu. "Dynamic Modeling of Intelligent Connector." Advanced Materials Research 108-111 (May 2010): 313–18. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.313.

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To construct autonomous, dynamic evolvement software entity, and dynamically assemble them under the Internet environment for the complex software system, a novel intelligent software model is critical. Although there is significant literature on implementation of enterprise software systems, there are fewer contributions that give rigorous formal analyzing. In this paper, we present formal model of intelligent connector for constructing enterprise intelligent applications. As a core of the enterprise intelligence component, our model is presented at different levels of abstraction and formalism by π-calculus, and the characters of dynamic rebuilding, intelligent controlling business chains are formally analyzed. A case is given to illustrate its dynamic properties.

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Kire, Kevilienuo, and Neha Malhotra. "Software Testing using Intelligent Technique." International Journal of Computer Applications 90, no. 19 (March 26, 2014): 22–25. http://dx.doi.org/10.5120/15829-4637.

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LI, Bing-peng, Chang-qi SUN, and Yang LAN. "Method of software intelligent deployment." Journal of Computer Applications 29, no. 1 (June 25, 2009): 248–52. http://dx.doi.org/10.3724/sp.j.1087.2009.00248.

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Diercksen, Geerd H. F., and George G. Hall. "Intelligent software: The OpenMol program." Computers in Physics 8, no. 2 (1994): 215. http://dx.doi.org/10.1063/1.168520.

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Whelan, Ken E., and Ross D. King. "Intelligent software for laboratory automation." Trends in Biotechnology 22, no. 9 (September 2004): 440–45. http://dx.doi.org/10.1016/j.tibtech.2004.07.010.

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Wei-lan, Wang. "Intelligent input software of Tibetan." Computer Standards & Interfaces 29, no. 4 (May 2007): 462–66. http://dx.doi.org/10.1016/j.csi.2006.11.001.

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Clerc, J. T. "Intelligent Software for Chemical Analysis." Analytica Chimica Acta 292, no. 1-2 (June 1994): 214. http://dx.doi.org/10.1016/0003-2670(94)80300-5.

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Kleinbart, Paul. "Prolegomenon to 'intelligent' thesaurus software." Journal of Information Science 11, no. 2 (August 1985): 45–53. http://dx.doi.org/10.1177/016555158501100201.

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Pretsch, E. "Intelligent Software for Chemical Analysis." Chemometrics and Intelligent Laboratory Systems 27, no. 1 (January 1995): 148–49. http://dx.doi.org/10.1016/0169-7439(95)80016-3.

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Kulkarni, Swatee B., and Xiangdong Che. "Intelligent Software Tools for Recruiting." Journal of International Technology and Information Management 28, no. 2 (July 1, 2019): 2–16. http://dx.doi.org/10.58729/1941-6679.1398.

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Pan, Tiande. "Intelligent Monitoring System for Prison Perimeter Based on Cloud Intelligence Technology." Wireless Communications and Mobile Computing 2022 (March 18, 2022): 1–10. http://dx.doi.org/10.1155/2022/2517446.

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In order to realize the security of prison perimeter, a prison perimeter intelligent monitoring system based on cloud intelligence technology is designed. Based on the multisupply chain collaboration framework, the prison network interface submodule and sniffer monitoring structure are connected on demand to complete the hardware execution environment of the prison perimeter intelligent monitoring system. Analyze the specific service mode of the cloud smart technology host, set the necessary cloud smart technology service monitoring protocol, judge the processing information parameters, select the prison perimeter remote communication port number, set the prison perimeter network IP address and password program, complete the construction of the software execution environment of the monitoring system, and intelligently monitor and track the abnormal conditions around the prison; combined with the relevant hardware and software structure, the design of prison perimeter intelligent monitoring system based on cloud intelligence technology is realized. The experimental results show that the DPI index of the designed system has an obvious upward trend, and the processing results are close to the original image results to avoid the impact caused by the change of monitoring scene.

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COLLINĂSZY, Juraj, Marek BUNDZEL, and Iveta ZOLOTOVĂ. "IMPLEMENTATION OF INTELLIGENT SOFTWARE USING IBM WATSON AND BLUEMIX." Acta Electrotechnica et Informatica 17, no. 1 (March 1, 2017): 58–63. http://dx.doi.org/10.15546/aeei-2017-0008.

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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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CHANG, SHI-KUO. "EDITORIAL: A GENERAL FRAMEWORK FOR SLOW INTELLIGENCE SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 20, no. 01 (February 2010): 1–15. http://dx.doi.org/10.1142/s0218194010004578.

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Contrary to popular belief, not all intelligent systems have Quick Intelligence. There are a surprisingly large number of intelligent systems, quasi-intelligent systems and semi-intelligent systems that have Slow Intelligence. Such Slow Intelligence Systems are often neglected in mainstream research on intelligent systems, but they are really worthy of our attention and emulation. I will describe the characteristics of Slow Intelligence Systems and present a general framework for Slow Intelligence Systems. I will then discuss evolutionary query processing and mission control in emergency management systems as two examples of Artificial Slow Intelligence Systems. Researchers and practitioners are both invited to explore the applications of Slow Intelligence Systems in software engineering and knowledge engineering, and publish their findings in IJSEKE.

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Korenkov, V. V., A. G. Reshetnikov, and S. V. Ulyanov. "Quantum Software EngineeringSupremacy in Intelligent Robotics." System Analysis in Science and Education, no. 4 (2020) (December 30, 2020): 135–46. http://dx.doi.org/10.37005/2071-9612-2020-4-135-146.

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A new approach for implementing quantum massive parallel computations is presented, using methods of circuit implementation of quantum algorithmic gates. Methods for designing fast quantum operators such as superposition, entanglement, andinterference are considered. The presented methodsallow you to reduce the number of actions that must be performed. The implementation is presented as a support tool for SW&HW supercomputer accelerator for modeling quantum algorithms. In particular, a newquantum-genetic and quantum-fuzzy inference algorithm for intelligent robotic control has been implemented. Also, a new method for performing Grover's inference without operations with the productis presented.

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S.Bhamra, G., A. K. Verma, and R. B. Patel. "Intelligent Software Agent Technology: An Overview." International Journal of Computer Applications 89, no. 2 (March 1, 2014): 19–31. http://dx.doi.org/10.5120/15474-4160.

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Rokkam, Krishna Vamsi. "An Intelligent TLDR Software for Summarization." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2852–55. http://dx.doi.org/10.22214/ijraset.2022.44508.

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Abstract: The amount of textual data available from diverse resources is increasing dramatically in the substantial data age. This textual volume has a wealth of information and expertise that must be skilfully summarised in order to be useful. Because billions of articles are published every day, it takes a long time to look through and keep up with all of the information available. Much of this text material has to be reduced to shorter, focused summaries that capture the most important aspects, both so we can explore it more efficiently and to ensure that the bigger papers include the information we need. Because manual text summarising is a time-consuming and typically difficult activity, automating it is expanding in popularity and thus provides an ideal impetus for academic study. The growing availability of documents has necessitated much study in the field of natural language processing (NLP) for automatic text summarization. "Is there any software that can assist us digest the facts more efficiently and in less time?" is the genuine question. As a result, the major goal of the summarization system is to extract the most important information from the data and deliver it to the consumers. In NLP, summarization is the act of condensing text information in huge texts to make it easier to understand and consume. We suggest a solution by developing a text summary programme that uses Natural Language Processing and accepts an input (plain text or text scrapped from a website). The output is the outlined text. Natural language processing, along with machine learning, makes it easier to condense large quantities of information into a coherent and fluent summary that only incorporates the article's most important points.

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Jalal, Ahmed Adeeb. "Big data and intelligent software systems." International Journal of Knowledge-based and Intelligent Engineering Systems 22, no. 3 (November 15, 2018): 177–93. http://dx.doi.org/10.3233/kes-180383.

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Pohl, Jens, Hisham Assal, and Kym Jason Pohl. "Intelligent software for ecological building design." Intelligent Decision Technologies 5, no. 3 (June 30, 2011): 201–17. http://dx.doi.org/10.3233/idt-2011-0107.

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Lohani, Minoo, and V. K. J. Jeevan. "Intelligent software agents for library applications." Library Management 28, no. 3 (February 27, 2007): 139–51. http://dx.doi.org/10.1108/01435120710727983.

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Nourani, Cyrus F. "Software agents and intelligent object fusion." ACM SIGSOFT Software Engineering Notes 23, no. 1 (January 1998): 98. http://dx.doi.org/10.1145/272263.272358.

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Gruhn, Volker, and Hamido Fujita. "Special Issue on “Intelligent Software Design”." Knowledge-Based Systems 19, no. 2 (June 2006): 105–6. http://dx.doi.org/10.1016/j.knosys.2005.10.001.

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Fujita, Hamido. "Special issue on “Intelligent Software Design”." Knowledge-Based Systems 22, no. 3 (April 2009): 129–31. http://dx.doi.org/10.1016/j.knosys.2008.08.001.

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Newell, Allen, and David Steier. "Intelligent control of external software systems." Artificial Intelligence in Engineering 8, no. 1 (January 1993): 3–21. http://dx.doi.org/10.1016/0954-1810(93)90027-d.

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Boltryk, P. J., C. J. Harris, and N. M. White. "Intelligent sensors—a generic software approach." Journal of Physics: Conference Series 15 (January 1, 2005): 155–60. http://dx.doi.org/10.1088/1742-6596/15/1/026.

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Cross, Stuart R. "Agency, Contract and Intelligent Software Agents." International Review of Law, Computers & Technology 17, no. 2 (July 2003): 175–89. http://dx.doi.org/10.1080/1360086032000122556.

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SYCARA, KATIA, and DAJUN ZENG. "COORDINATION OF MULTIPLE INTELLIGENT SOFTWARE AGENTS." International Journal of Cooperative Information Systems 05, no. 02n03 (June 1996): 181–211. http://dx.doi.org/10.1142/s0218843096000087.

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We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.

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Güzel, Mehmet Serdar, and Yasin Hınıslıoğlu. "A robotic software for intelligent applications." Artificial Life and Robotics 18, no. 1-2 (August 28, 2013): 76–82. http://dx.doi.org/10.1007/s10015-013-0102-4.

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Volkov, Andrey, and Konstantin Latyshev. "Intelligent and Complex Monitoring in Intelligent Buildings." Applied Mechanics and Materials 580-583 (July 2014): 3204–7. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.3204.

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Conversion of intelligent buildings (IB) is based on a data search, data pattern recognition, data processing and storage of data of projects of intelligent buildings (IB), automated systems (AS) and theirs elements. Author developed a model of a system for data monitoring, allowing for analysis and synthesis of intelligent buildings conversion projects. An intelligent monitoring allows to analyze data both of projects and elements of IB and AS. Complex monitoring allows to synthesize the data used in elements of IB and AS. It is possible to create CAD system and monitoring system for IB and AS conversion using principles described in this article. Vendors of elements for intelligent buildings, vendors of software used in controllers, adapter, etc., can find opportunity to found open community and establish rules for “internet specification” for intelligent elements for AS. Modern state of technology in intelligent search encourages me to say about full-automatic search, assembling and installing of software updates for AS elements of IB. I see that we can use industrial MDM and hypersearch software widely used in big internet vitrines.

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Hongbing, Li, Meng Bo, and Chen Shifu. "An Agent-Based Approach for Constructing Software Systems of Virtual Simulation." International Journal of Virtual Reality 4, no. 4 (January 1, 2000): 97–109. http://dx.doi.org/10.20870/ijvr.2000.4.4.2659.

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The design and construction of virtual reality environments involve technologies such as computer graphics, image processing, pattern recognition, intelligent interface, artificial intelligence, voice recognition, network, parallel processing, and high-performance computing. Some researchers insist that object-oriented and agent-oriented technologies are fundamental for virtual reality system design. This paper applies artificial intelligence to the design of virtual reality systems. Agents are constructed by using object-oriented methods and a set of underlying computing models, such as neural networks, genetic algorithms, expert systems, and plan managers. Some object-oriented frameworks of these computing models are presented to illustrate this approach. The example of a spaceship game will illustrate interactions among environments, agents, and underlying computing models. The approach and reusable class library presented herein can be applied to various virtual reality environment simulations and intelligent applications.

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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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Tian, Yu, and Yonghong Zhang. "Evaluation of Accounting Data of Water Company Based on Combination Model." Scientific Programming 2022 (April 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/3373420.

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Driven by the dual effects of artificial intelligence and accounting transformation, it has become one of the research hotspots of accounting intelligence in China to replace accountants with computers to make professional judgments and automatically evaluate accounting. On the basis of summarizing and analyzing the research status in the field of intelligent accounting, the realization path of intelligent accounting in water companies is put forward in this paper. By introducing the improved Apriori learning algorithm based on Boolean mapping matrix, intelligent data mining is carried out for evaluation of water accounting. With the help of the improved attribute inductive learning algorithm, the corresponding relationship between the original water consumption attribute and the water right transaction is mined and output. In addition, with the help of forward reasoning in inference engine technology, the computer intelligent data evaluation function is realized. Finally, the functional architecture of accounting system of the water company is designed, which provides reference for the development and application of intelligent accounting system, and explores a new path for the integration of accounting and intelligent algorithms.

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Xue, Ding Zhu. "The Design of Intelligent Video System Based on DM8168." Advanced Materials Research 850-851 (December 2013): 491–95. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.491.

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With the development of the times and the increasing mobility of the population, the situation of public environmental safety is becoming more and more serious. So an intelligent video monitoring system is designed in order to better carry out constantly effective monitoring for the public environment. In this paper, the IT Company DM8168 as the core of hardware designs an intelligent video surveillance system to realize the function of video capture, encoding, transmission, storage and so on. Besides, it will carry out motion detection in the aspect of intelligence. The main tasks can be completed as follows, first, architecture and front-end network camera hardware design of intelligent video system requires single-stream network. Second, the design of intelligent video system software, which is to complete the overall software design flow chart. Clients using the media player on the PC front-end network camera based on Davinci platform development. Third, algorithm design of intelligent software system is to study of the moving object detection algorithm and provide the algorithm effect diagram.

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Liu, Tao, Shaocheng Wu, Yue Ma, Jie Zhao, and Hefang Jiang. "Intelligent Test Platform for Power Metering System Software." Journal of Physics: Conference Series 2095, no. 1 (November 1, 2021): 012022. http://dx.doi.org/10.1088/1742-6596/2095/1/012022.

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Abstract In order to meet the requirements of the operation and maintenance personnel for the power metering system software, when updating the software version, they can independently, quickly and effectively control the quality of the software, an intelligent test platform is designed. Based on the platform, the software operation and maintenance personnel can simply select the corresponding records from the test scripts, test cases and automatic test tools in database debugged by the third-party test team, create the test plan, click the execute button, the platform will automatically connect the selected test tool, intelligently generate a set of executable command lines, to complete the functionality or performance test of the software using the selected test script and test case, and to create the reports of software defects, then a software development team repairs the defects and then the personnel performs regression testing until the new version meets the requirements.

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de Andrade, Norberto Nuno Gomes. "The “A.I.vatar”: Artificial Intelligent agents in the context of Ambient Intelligence." Journal of Ambient Intelligence and Smart Environments 3, no. 4 (2011): 363–70. http://dx.doi.org/10.3233/ais-2011-0123.

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Wei, Yu, Ying Tang, Tian Zou, Xue Li, Wei Zhao, Honggen Zhou, and Jinfeng Liu. "The Design of Intelligent Spray Painting System for Ship Panel Based on UAV." Journal of Physics: Conference Series 2200, no. 1 (February 1, 2022): 012007. http://dx.doi.org/10.1088/1742-6596/2200/1/012007.

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Abstract This paper proposes a new form of using UAVs to carry spray painting process equipment to spray outer plates of ships, which solves the paining points of poor practicality, poor versatility and low intelligence of existing robotic spray painting and has received wide attention from experts in the industry. It includes two types of hardware equipment and three software systems, among which the hardware equipment includes intelligent spray painting platform and material supply platform, and the software system includes intelligent planning system of spray painting path, intelligent spray painting stability control system and “double platform” dynamic joint control system. Through experimental verification, the intelligent spray painting system of ship outer plate based on UAV proposed in this paper realizes intelligent spray painting of ship outer plate, improves safety, economy and efficiency of ship outer plate spray painting, and further promotes intelligent transformation of ship construction and high-quality development of ship industry.

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Ji, Cuibin. "Design of Data Package Software System for Aerospace Product Quality and Reliability." MATEC Web of Conferences 232 (2018): 01016. http://dx.doi.org/10.1051/matecconf/201823201016.

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The quality and reliability data package management of space products is one of the important contents of the fine quality management of the space model, and is also a major basic work throughout the model development process. In order to meet the needs of enterprises, this paper proposes a design of quality and reliability data packet software system, introducing quality intelligence and open architecture. As an exploration of the intelligent direction of quality and reliability data package management platform, the system has launched a new quality management model to meet the quality data management and analysis requirements of the enterprise, and provided intelligent data support for the enterprise.

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Zhang, Yu Jie, and Yun Liu. "The Design of Artificial Intelligence Control System for LED Based on ZigBee and Light Emitting Diode Materials." Advanced Materials Research 460 (February 2012): 290–94. http://dx.doi.org/10.4028/www.scientific.net/amr.460.290.

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Due to the defects of traditional LED intelligent control system, the design scheme of artificial intelligence control system for LED based on ZigBee was proposed in this paper, which described the hardware and software design method of the system. The system used STM32 as the core and embedded BP neural network program in LabVIEW software, which can achieve the optimal intelligent control for LED under the LabVIEW development platform through ZigBee wireless network, including the functions of constant intensity of illumination lighting, compensation lighting, adaptive lighting and artistic lighting according with human body visual comfort. The system can be widely used in large lighting place and intelligent household application field.

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Li, Ping. "Intelligent Interactive Subject Selection Accomplished Based on PowerPointVBA Technology." Advanced Materials Research 933 (May 2014): 698–702. http://dx.doi.org/10.4028/www.scientific.net/amr.933.698.

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Knowledge contests, curriculum evaluation and other activities need to use item bank subject selection system, but such software on the market is less, and the softwares function is often vary with the user's actual demands. Considering the widely use of PowerPoint software in practical work, the design and development of subject selection system based on PowerPoint software are extremely convenient and practical, but its interactive function is not strong, it is difficult to make subject selection intelligent and interactive. In this paper, the PowerPoint software is taken as a development platform, the VBA technology custom solution is used to design and develop intelligent interactive subject selection system.

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Hajdu-Măcelaru, MARA DIANA. "Intelligent rating tool for software quality attributes." Creative Mathematics and Informatics 27, no. 2 (2018): 171–76. http://dx.doi.org/10.37193/cmi.2018.02.09.

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Using a rating tool for software quality attributes is an important part of the development process of each software product, as it helps with the evaluation of the quality as by providing a good image of the quality attributes that should be taken in consideration. We will describe the challenges of developing a quality rating tool that is also adaptable to the project type and user importance.

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Journal articles on the topic 'Intelligent software'

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