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1
Zavadskas, Edmundas Kazimieras, Artūras Kaklauskas, and Audrius Banaitis. "APPLICATION OF E‐TECHNOLOGIES FOR REGIONAL DEVELOPMENT: THE CASE OF VILNIUS CITY." Journal of Business Economics and Management 11, no. 3 (September 30, 2010): 415–27. http://dx.doi.org/10.3846/jbem.2010.20.
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The investigation carried out by the authors of this paper under “Intelligent Cities” (Framework 6 programme) and e‐City (Phare PPF) projects helped to identify and describe major trends of e‐cities development in industrialized countries as well as providing recommendations for e‐Vilnius development. Research included the following four stages: comparative description of the e‐cities development in developed countries and in Vilnius, comparison and contrast of e‐cities development in developed countries and in Vilnius, development of some of the general recommendations as how to improve the efficiency levels for e‐Vilnius, submission of particular recommendations for e‐Vilnius. In order to throw more light on the Model, a more detailed description of some above stages follows in the paper. Santrauka Šio straipsnio autoriu atliktas tyrimas pagal projektus “Protingi miestai” (6‐oji bendroji programa) ir “E.miestas” (Phare PPF) padejo nustatyti bei aprašyti pagrindines kryptis, leidžiančias pletoti e. miestus industrializuotose šalyse, ir pateikti elektronines Vilniaus pletros rekomendacijas. Tyrima sudaro keturios pakopos: lyginamojo e. miestu pletojimo išsivysčiusiose šalyse ir Vilniuje aprašymas, e. miestu pletojimo išsivysčiusiose šalyse ir Vilniuje sugretinimas bei skirtumu tarp ju parodymas, bendruju rekomendaciju, kaip pakelti e. Vilniaus pletros efektyvuma, sukūrimas ir sukurtu rekomendaciju pateikimas. Kad svarstomas modelis būtu aiškesnis, pateikiamas išsamesnis kai kuriu pakopu aprašymas.
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Song, Ke, and Xiao Hui Cheng. "A Design of Novel Intelligent System of Single Phase Electric Meter for Building." Applied Mechanics and Materials 556-562 (May 2014): 1601–4. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1601.
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According to the number of users and the electricity measurement requirements for building, a novel intelligent system of single phase electric meter for building has been proposed in this paper. It is aiming at the application status and existing problems of watt-hour meter used in China. It has been designed by using the decentralized power parameter detection and centralized control method. The following designs of the intelligent system have been done in the study: the topological structure, hardware and software. According to the design of the intelligent system, the intelligent system of single phase electric meter for building can be developed. The electricity signal processing module, memory, GUI and the communication module are controlled by MCU. The intelligent system can easily measure various parameters, record data safety, calibrate meter with software, and it has more communication interface. The system can be realized functions, such as the monitoring, management, protection, wireless transmission and so on. It can be widely used in ordinary households, residential users, student apartments, office buildings, etc. to achieve the electricity detection, monitoring and controlling intelligently.
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Wang, Zhenzhou, Xu Zhang, Pingping Yu, Wenjie Duan, Dongjie Zhu, and Ning Cao. "A New Face Recognition Method for Intelligent Security." Applied Sciences 10, no. 3 (January 25, 2020): 852. http://dx.doi.org/10.3390/app10030852.
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With the advent of the era of artificial intelligence and big data, intelligent security robots not only improve the efficiency of the traditional intelligent security industry but also propose higher requirements for intelligent security. Aiming to solve the problem of long recognition time and high equipment cost of intelligent security robots, we propose a new face recognition method for intelligent security in this paper. We use the Goldstein branching method for phase unwrapping, which can improve the three-dimensional (3D) face reconstruction effect. Subsequently, by using the three-dimensional face recognition method based on face radial curve elastic matching, different weights are assigned to different curve recognition similarity for weighted fusion as the total similarity for recognition. Experiments show that the method has a higher face recognition rate and is robust to attitude, illumination, and noise.
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LÜTTGE, FELIX. "Whaling intelligence: news, facts and US-American exploration in the Pacific." British Journal for the History of Science 52, no. 3 (June 14, 2019): 425–45. http://dx.doi.org/10.1017/s0007087419000177.
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AbstractThis paper investigates the history of a discursive figure that one could call the intelligent whaler. I argue that this figure's success was made possible by the construal and public distribution of whaling intelligence in an important currency of science – facts – in the preparatory phase for the United States Exploring Expedition (1838–1842). The strongest case for the necessity of the enterprise was New England whalers who were said to cruise uncharted parts of the oceans and whose discoveries of uncharted islands were reported in the local press. The document that stood at the core of the lobbying for an expedition was a table that newspaperman and public lecturer Jeremiah Reynolds had compiled after interviewing whaling captains in the country's principal whaling ports. Presenting whalers’ experience in tabular and synoptic form, Reynolds's table helped forge the figure of the ‘intelligent whaler’, a mariner who had better geographical knowledge than other seafarers. By investigating the paper technologies that produced the ‘intelligent whaler’, this paper shows how Reynolds's translation of ‘whaling intelligence’ from news into facts marks the beginning of the intelligent whaler's long career in US-American debates about expansionism, exploration and science.
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Ya bin, Chen, Zhang Zhen tao, Li Qiang, and Zou Ping Guo. "Design and Realization of Intelligent Phase-controlled System for Permanent Magnetic Actuator of AC Contactor." E3S Web of Conferences 165 (2020): 06019. http://dx.doi.org/10.1051/e3sconf/202016506019.
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When the AC contactor switches the capacitor bank, the phase angle of the power grid is random, so the electromagnetic transient process will generate large inrush current and overvoltage, causing large disturbance to the power system. A set of AC contactor with permanent magnetic actuator (PMA) and its intelligent phase selection control system are designed to solve this problem. Firstly, the PMA is designed. The dynamic characteristics of the actuator are simulated and analyzed in ANSOFT to meet the performance requirements of phase selection control. Then the principle of phase selection control and the strategy of switching capacitor bank are analyzed. Based on this, the software and hardware of intelligent phase selection control system are designed, including phase selection control module, IGBT driver module and coil discharge module. Finally, the experimental verification is carried out on the designed AC contactor. The test results show that the phase selection errors of the designed intelligence system are within 1°, and the contactor closing and opening time deviations are within 0.5ms, which means the system can effectively realize the closing and opening control at the specified phase angle.
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Wang, Lin Jing, and Pei Jiang Zhang. "Design of Multi-Route Intelligence Electric System." Applied Mechanics and Materials 716-717 (December 2014): 1207–11. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1207.
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For the low management of current collective electricity, this paper designs multi-route intelligent electric system, and introduces the soft and the hardware design of the system in detail. The system uses STC enhanced SCM as the control core and communication, based on BL0932B chip, designs single phase bidirectional power electric energy metering module, and uses 485 bus and GSM module as communication and control methods. The actual application shows that the system has high intelligence, reliable operation, achieving the desired effect.
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Fiderek, Paweł, Tomasz Jaworski, Robert Banasiak, Jacek Nowakowski, Jacek Kucharski, and Radosław Wajman. "INTELLIGENT SYSTEM FOR THE TWO-PHASE FLOWS DIAGNOSIS AND CONTROL ON THE BASIS OF RAW 3D ECT DATA." Informatics Control Measurement in Economy and Environment Protection 7, no. 1 (March 30, 2017): 17–23. http://dx.doi.org/10.5604/01.3001.0010.4576.
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In this paper the new intelligent system for two-phase flows diagnosis and control is presented. The authors developed a fuzzy inference system for two phase flows recognition based on the raw 3D ECT data statistical analysis and fuzzy classification which identify the flow structure in real-time mode. The non-invasive three-dimensional monitoring is possible to conduct even in non-transparent and non-accessible parts of the pipeline. Presented system is also equipped with the two phase gas-liquid flows installation control module based on fuzzy inference which includes the feedback information from the recognition module. The intelligent control module working in a feed-back loop keep the sets of required flow regime. Presented in this paper fuzzy algorithms allow to recognize the two phase processes similar to the human expert and to control the process in the same, very intuitively way. Using of the artificial intelligence in the industrial applications allows to avoid any random errors as well as breakdowns and human mistakes suffer from lack of objectivity. An additional feature of the system is a universal multi-touched monitoring-control panel which is an alternative for commercial solution and gives the opportunity to build user own virtual model of the flow rig to efficiently monitor and control the process.
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Seeboth, A., and H. R. Holzbauer. "Thermotrope Materialien für den Einsatz in „intelligenten Fenstern" / Thermotropic materials for application in "intelligent windows"." Restoration of Buildings and Monuments 4, no. 5 (October 1, 1998): 507–20. http://dx.doi.org/10.1515/rbm-1998-5309.
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Abstract Thermotropic materials as integrated part of „intelligent windows" based on polymer gel networks are developed. Systems change the transparency in dependence on temperature. These windows are able to protect buildings against superheating by sunshine. The aim of this work is the formation of a thermotropic material which operates like a heat filter. The effect is based on reproducible reversible phase transitions in the material. A decisive aspect is the adjustment of these transitions between the optical clear or opaque state of the windows, controled by the solar energy, to the perception of the human eye.
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McNeese, Michael D., and Nathan J. McNeese. "Intelligent Teamwork." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 153–57. http://dx.doi.org/10.1177/1541931213601035.
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Intelligent teamwork means many things to many people. This paper provides a historical foundation to various elements of human-agent collaboration, leading to the identification of research needs and challenges that are often present when teamwork is seen from the vantage point of cognitive augmentation. A broad research framework consisting of four meshed phases derives from the historical foundation and research needs and challenges to help integrate multifarious considerations involving information, technology, people, and environment is presented. Examples and lessons learned associated with each phase are provided to help articulate requisite bottlenecks and tradeoffs that inevitability arise when agents, aids, and interfaces are purposefully human-centered in their approach. The objectives of understanding, usefulness, usability, and context are examined in consort with each phase.
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V., Mironenko,. "Information technology as a basis of creating “smart” agricultural machinery." Mehanization and electrification of agricultural, no. 9(108) (2019): 171–74. http://dx.doi.org/10.37204/0131-2189-2019-9-21.
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Purpose. Formalize requirements to information systems “smart” machines to increase efficiency of agro industrial production. Methods. Analysis of the possibilities of improving the efficiency of agricultural production by building a hardware based control systems with elements of artificial intelligence. Synthesis of the systems of automatic control by technological processes of crop production on the basis of modern information technologies. Results. Components of the information “intelligent” machines in the plant. The core technology of information mining. Conclusions. Further development of the maintenance of agricultural production should be based on creating technology 5th technological level, which involves the saturation technique by means of information, computing and electronics for operational changes in modes of working bodies in order to achieve the optimum phase condition of the object being processed. Keywords: operations systems of adaptive management, artificial intelligence, information technology.
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Shim, Jeong-Yon. "Feature Matching Synchronized Reasoning from Energy-Based Memory Network for Intelligent Data Management in Cloud Computing Data Center." Electronics 10, no. 16 (August 8, 2021): 1900. http://dx.doi.org/10.3390/electronics10161900.
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A cloud data center for software-as-a-service (SaaS) was built for the purpose of stably managing these server computers in one place in order to provide an uninterrupted service, not only for a stable power supply and security but also for the efficient data management. To manage such a data center efficiently, it is important to build a cloud database with structured storage above all else. In recent decades, many studies have focused on designing cloud data centers and most of the research has focused on communication traffic, routing, topological issues and communication technology. However, in order to build an efficient cloud database that can support user demand, the most sophisticated intelligent system, based on AI technology and considering user convenience, should be designed. From this viewpoint, adopting human brain functions, Energy-Based Memory Network was designed for a knowledge-based frame of an intelligent system. And its event-related synchronized data extraction mechanism was proposed. In particular, a Thinking Thread extraction phase was implemented for the reasoning process using qualia matching and a deep extraction method in a cloud database. The purpose of this approach is to design and implement an intelligent cloud database that has an efficient structure and mechanism for supporting user demand and providing accurate, prompt services. In experiments, the working phase of the functions was simulated with data and analyzed. As a result, it was confirmed that the proposed system works well and intelligently for the design purpose.
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OSTROSI, E., and M. FERNEY. "Feature modeling using a grammar representation approach." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 19, no. 4 (November 2005): 245–59. http://dx.doi.org/10.1017/s0890060405050171.
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In intelligent computer-aided design the concept of intelligence is related to that of integration. Using feature-based computer-aided design models is thought to make a complete integration. This paper presents a feature recognition approach based on the use of a feature grammar. Given the complexity of feature recognition in interactions, the basic idea of the approach is to find the latent and logical structure of features in interaction. The approach includes five main phases. The first phase, called regioning, identifies the potential zones for the birth of features. The second phase, called virtual extension, builds links and virtual faces. The third phase, called structuring, transforms the region into a structure compatible with the structure of the features represented by the feature grammar. The fourth phase, called Identification, identifies the features in these zones. The fifth phase, called modeling, represents the model by features. The feature modeling system software is developed based on this approach.
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Khan, Faizal, and Sultan Refa Alotaibi. "Design and Implementation of a Computerized User Authentication System for E-Learning." International Journal of Emerging Technologies in Learning (iJET) 15, no. 09 (May 15, 2020): 4. http://dx.doi.org/10.3991/ijet.v15i09.12387.
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The system based on formalized teaching with the help of electronic resources is called as E-learning. Using E-Learning in the university education systems has been growing rapidly based on the application of Information Technology (IT) designed for the substitute of traditional based learning approach. In terms of the E-learning based examinations, security constraints such as, identification of the user, misuse the passwords, unauthorized user instead of the authenticated one are available. Because of these disadvantages, the need of an authentication system is very important. The main challenge facing the security of E-learning environment is how to identify the unauthorized users from accessing and managing any platform. Therefore solving the problem of authenticating the valid user is very important. So, an intelligent examination system along with user authentication based on facial expression recognition is proposed in this paper. The proposed system can be classified in to three phases. The first phase is the design of facial database from the captured images. The second phase is the design of Artificial Intelligence (AI) based system for facial feature extraction and its classification using intelligent Agents. The final phase is the authentication of respective users by automatic identification of facial images. The results obtained shows that the proposed methodology has managed to validate the authenticated users and to provide an effective security in the E-learning platform.
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Chao, Kuei-Hsiang, and Chin-Tsang Hsieh. "Mathematical Modeling and Fault Tolerance Control for a Three-Phase Soft-Switching Mode Rectifier." Mathematical Problems in Engineering 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/598130.
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This study primarily focuses on the design of an intelligent three-phase soft-switching mode rectifier (SSMR). Firstly, the small-signal dynamic model of a single-phase SSMR is derived together with the design of its controller. Then, the developed single-phase SSMR is connected to form an intelligent three-phase SSMR. When any of the phase modules in the proposed intelligent three-phase SSMR experiences a fault, it can continue to supply power automatically under reduced load capacity while still maintaining good power quality characteristics. Finally, some simulation results were used to demonstrate the effectiveness of the proposed intelligent three-phase SSMR design.
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Kauser Ahmed P. and Debi Prasanna Acharjya. "Knowledge Inferencing Using Artificial Bee Colony and Rough Set for Diagnosis of Hepatitis Disease." International Journal of Healthcare Information Systems and Informatics 16, no. 2 (April 2021): 49–72. http://dx.doi.org/10.4018/ijhisi.20210401.oa3.
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Vast volumes of raw data are generated from the digital world each day. Acquiring useful information and chief features from this data is challenging, and it has become a prime area of current research. Another crucial area is knowledge inferencing. Much research has been carried out in both directions. Swarm intelligence is used for feature selection whereas for knowledge inferencing either fuzzy or rough computing is widely used. Hybridization of intelligent and swarm intelligence techniques are booming recently. In this research work, the authors hybridize both artificial bee colony and rough set. At the initial phase, they employ an artificial bee colony to find the chief features. Further, these main features are analyzed using rough set generating rules. The proposed model indeed helps to diagnose a disease carefully. An empirical analysis is carried out on hepatitis dataset. In addition, a comparative study is also presented. The analysis shows the viability of the proposed model.
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Kareem Kamoona, Karrar Raoof, and Cenk Budayan. "Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation." Advances in Civil Engineering 2019 (May 2, 2019): 1–15. http://dx.doi.org/10.1155/2019/7081073.
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In construction project management, there are several factors influencing the final project cost. Among various approaches, estimate at completion (EAC) is an essential approach utilized for final project estimation. The main merit of EAC is including the probability of the project performance and risk. In addition, EAC is extremely helpful for project managers to define and determine the critical throughout the project progress and determine the appropriate solutions to these problems. In this research, a relatively new intelligent model called deep neural network (DNN) is proposed to calculate the EAC. The proposed DNN model is authenticated against one of the predominated intelligent models conducted on the EAC prediction, namely, support vector regression model (SVR). In order to demonstrate the capability of the model in the engineering applications, historical project information obtained from fifteen projects in Iraq region is inspected in this research. The second phase of this research is about the integration of two input algorithms hybridized with the proposed and the comparable predictive intelligent models. These input optimization algorithms are genetic algorithm (GA) and brute force algorithm (BF). The aim of integrating these input optimization algorithms is to approximate the input attributes and investigate the highly influenced factors on the calculation of EAC. Overall, the enthusiasm of this study is to provide a robust intelligent model that estimates the project cost accurately over the traditional methods. Also, the second aim is to introduce a reliable methodology that can provide efficient and effective project cost control. The proposed GA-DNN is demonstrated as a reliable and robust intelligence model for EAC calculation.
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Djalal, Muhammad Ruswandi, and Faisal Faisal. "DESIGN OF OPTIMAL PID CONTROLLER FOR THREE PHASE INDUCTION MOTOR BASED ON ANT COLONY OPTIMIZATION." SINERGI 24, no. 2 (April 17, 2020): 125. http://dx.doi.org/10.22441/sinergi.2020.2.006.
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Speed control of an induction motor is an important part of the operation of an induction motor. One method of regulating motor speed is the addition of a PID controller. PID parameters must be tuned properly to get the optimal speed. In this study, the PID controller tuning method uses an artificial intelligence method based on Ant Colony Optimization (ACO). ACO algorithm in an intelligent algorithm that is inspired by the behavior of ants looking for food sources in groups with traces of feromone left behind. In this study, food sources are represented as optimal parameters of PID. From the computational results obtained optimal parameters respectively, P (Proportional) 0.5359, I (Integral) 0.1173, D (Derivative) 0.0427. ACO computing found the optimal parameters in the 21st iteration with a minimum fitness function of 11.8914. Case studies are used with two variations of the speed of the induction motor input. With optimal tuning, the performance of the induction motor is increasing, marked by a minimum overshoot of 1.08 pu and a speed variation of both overshoots of 1,201 pu, whereas without control 1.49 pu and 1.28 pu, as well as with PID trial control of 1.22 pu and 1.23 pu respectively. The benefits of this research can be used as a reference for the operation of induction motors, by tuning the Ant Colony intelligent method for the PID controller in real-time with the addition of microcontroller components.
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Angelescu, Dorin, and Gheorghe Ion Gheorghe. "Intelligent Cyber-Mixmechatronic Micro-System for Monitoring and Controlling the Security and Surveillance Robots." Scientific Bulletin of Valahia University - Materials and Mechanics 16, no. 14 (April 1, 2018): 52–59. http://dx.doi.org/10.1515/bsmm-2018-0008.
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Abstract As a result of the scientific concerns of the Doctoral School of Mechanical Engineering and Mechatronics at Valahia Târgovişte University in the field of robotics dedicated to security and surveillance, the scientific work "Intelligent Cyber- Mixmechatronic Micro-System for Monitoring and Controlling the Security and Surveillance Robots" is in the testing and experimentation phase, within the doctoral (industrial) thesis "Studies, research and contributions regarding the realization of a smart mecatronic robot for security and surveillance applications". The scientific work results in a highly efficient cybermixmecatronic system, unique in Romania, which will be used to control the mechatronic security and surveillance robot, respectively the propulsion and control of its displacement. The robot is controlled through Artificial Intelligence, using the Internet of Things (IoT), which is why the Intelligent Motion Control system must be optimized both in terms of response speeds and energy. At the same time, due to the varied and possibly unstable conditions of the displacement field, the system must meet stringent criteria of reliability, resilience, weather, stability and redundant solutions for on-site repair of potential failures during missions. The cybermixmecatronic system designed to move the robot must carry it safely at the mission site so that it can then return it back to the Command and Control Center. In the paper will be presented the original solution, applicable with minimum of specific modifications (according to the chassis used), to any type of robot requiring both operator-controlled or autoguid control. Thus, a complex project will be realized combining into a unitary Mechatronics, Integronics, Cyber-Mixmechatronics, Artificial Intelligence and Information Technology.
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Ye, Dong Mao. "Research on PCM Textiles with Material Properties in Sports Wear Application." Advanced Materials Research 910 (March 2014): 450–54. http://dx.doi.org/10.4028/www.scientific.net/amr.910.450.
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A new type of intelligent PCM functional textile has been developed based on intelligent phase change material and advanced textile manufacturing technology. The application of such PCM textile in sports wear can help to enhance athletes performance. This paper analyzes the effects of intelligent PCM textile, characteristics of phase change materials and its preparation methods; discusses the possible effects of intelligent PCM textile to the results of sports events; suggests to make further study and research on phase change material in sports wear application so to develop more PCM sports wear suitable for different sports events.
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Mingheng, Zhang, Zhen Yaobao, Hui Ganglong, and Chen Gang. "Accurate Multisteps Traffic Flow Prediction Based on SVM." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/418303.
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Accurate traffic flow prediction is prerequisite and important for realizing intelligent traffic control and guidance, and it is also the objective requirement for intelligent traffic management. Due to the strong nonlinear, stochastic, time-varying characteristics of urban transport system, artificial intelligence methods such as support vector machine (SVM) are now receiving more and more attentions in this research field. Compared with the traditional single-step prediction method, the multisteps prediction has the ability that can predict the traffic state trends over a certain period in the future. From the perspective of dynamic decision, it is far important than the current traffic condition obtained. Thus, in this paper, an accurate multi-steps traffic flow prediction model based on SVM was proposed. In which, the input vectors were comprised of actual traffic volume and four different types of input vectors were compared to verify their prediction performance with each other. Finally, the model was verified with actual data in the empirical analysis phase and the test results showed that the proposed SVM model had a good ability for traffic flow prediction and the SVM-HPT model outperformed the other three models for prediction.
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Duran, Miquel, Silvia Simon, and Fernando Blasco. "Science Education and Artificial Intelligence – A Chatbot on Magic and Quantum Computing as an Educational Tool." EDEN Conference Proceedings, no. 1 (June 22, 2020): 137–42. http://dx.doi.org/10.38069/edenconf-2020-ac0011.
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Artificial Intelligence (AI) has entered the realm of higher education and has become an impressive emerging field. Since AI is starting also to be applied to Science Education, here an assay is provided while the opportunities of AI in a particular case of Science Education are reviewed and assessed, namely a chatbot on Quantum Computing, another awesome emerging field. Indeed, Quantum Computing is based on a set of principles that are difficult to understand by the general population, so the ultimate goal of such a chatbot is to learn a few complex concepts in this field and to increase public understanding and awareness of Science. Actually, AI is starting also to be applied to Science Communication, even though progress is not so advanced as in learning.Magic tricks based on mathematical principles are especially well suited to teach difficult concepts, like those related to Quantum Science. They are used to explain entanglement, quantum cryptography, the superposition principle, and other quantum-related concepts – along with other physical and chemical core elements like Entropy.Developing a chatbot is not especially difficult (e.g., with Botpress, Watson, Dialogflow, Manybot, etc.). One may build either scripted, intelligent, or application bots. Indeed, the first ones are those that are easiest to create, and correspond to the first phase of the current project. Intelligent bots understand natural spoken language and correspond to a second phase in this project. In general, Bots are connected to a real-world messaging service, like Facebook Messenger, Twitter, Telegram, Slack, etc.
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Dafauti, Balam Singh. "E-Era of Jurisdiction:Empowering Traditional Courts Using Various Artificial Intelligence Tools." Asian Journal of Computer Science and Technology 7, no. 2 (August 5, 2018): 57–61. http://dx.doi.org/10.51983/ajcst-2018.7.2.1872.
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In Indian scenario, we are still in the transformation phase from manual to electronic data processing. We are in balanced combination of simple, moral, responsive and transparent governance and IT tools and techniques. However a lot of scope is still there to do more and to imply IT in various governmental departments and domains. In the same sequence we can use artificial intelligence along with cloud computing to improve Indian Judicial system. Or we can say that the concept of e-courts can be enhanced by implying AI tools and techniques. The judiciary is in the early stages of a transformation in which AI (Artificial Intelligence) technology will help to make the judicial process faster, cheaper, and more predictable without compromising the integrity of judges’ discretionary reasoning. In this paper I have proposed a solution where judicial system with AI contributes to a process that encompasses such a wide range of knowledge, judgment, and experience. It have two more practical goals: producing tools to support judicial activities, including programs for intelligent document assembly, case retrieval, and support for discretionary decision-making; and developing new analytical tools for understanding and modeling the judicial process.
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Qin, Juan Ying, Cui Fang Liu, and Chang Qing Bi. "The Switch Control of Double-Power Supply System Based on Intelligent Static Switch." Advanced Materials Research 591-593 (November 2012): 1612–16. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1612.
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This article introduces the principle of achieving high precision switch control on double-power supply system of electric fence power & inverting power by intelligent static switch with DSP-TMS320LF2407A as the main control chip and its hardware & software characteristics. The most central part of intelligent static switch is to embed an intelligent soft management system and set up a platform to manage other software, which achieve fast data processing and complex Boolean calculation of system. The intelligent static switch can monitor the magnitude, phase and frequency of electric fence power & inverting power in real time according to present parameter, revise the frequency & phase of standby power in-phase signal which is in a warm-waiting state, make sure they are highly precise in double-power supply system, and achieve “seamless” switch.
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Zheng, Jian-Guo, Chao-Qun Zhang, and Yong-Quan Zhou. "Artificial Bee Colony Algorithm Combined with Grenade Explosion Method and Cauchy Operator for Global Optimization." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/739437.
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Artificial bee colony (ABC) algorithm is a popular swarm intelligence technique inspired by the intelligent foraging behavior of honey bees. However, ABC is good at exploration but poor at exploitation and its convergence speed is also an issue in some cases. To improve the performance of ABC, a novel ABC combined with grenade explosion method (GEM) and Cauchy operator, namely, ABCGC, is proposed. GEM is embedded in the onlooker bees’ phase to enhance the exploitation ability and accelerate convergence of ABCGC; meanwhile, Cauchy operator is introduced into the scout bees’ phase to help ABCGC escape from local optimum and further enhance its exploration ability. Two sets of well-known benchmark functions are used to validate the better performance of ABCGC. The experiments confirm that ABCGC is significantly superior to ABC and other competitors; particularly it converges to the global optimum faster in most cases. These results suggest that ABCGC usually achieves a good balance between exploitation and exploration and can effectively serve as an alternative for global optimization.
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Suga, T., O. Kameyama, R. Ogawa, M. Matsuura, and H. Oka. "Newly designed computer controlled knee-ankle-foot orthosis (Intelligent Orthosis)." Prosthetics and Orthotics International 22, no. 3 (December 1998): 230–39. http://dx.doi.org/10.3109/03093649809164488.
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The authors have developed a knee-ankle-foot orthosis with a joint unit that controls knee movements using a microcomputer (Intelligent Orthosis). The Intelligent Orthosis was applied to normal subjects and patients, and gait analysis was performed. In the gait cycle, the ratio of the stance phase to the swing phase was less in gait with the knee locked using a knee-ankle-foot orthosis than in gait without an orthosis or gait with the knee controlled by a microcomputer. The ratio of the stance phase to the swing phase between controlled gait and normal gait was similar. For normal subjects the activity of the tibialis anterior was markedly increased from the heel-off phase to the swing phase in locked gait. The muscle activities of the lower limb were lower in controlled force in locked gait showed spikes immediately after heel-contact in the vertical at heel-contact in the sagittal to locked gait, gait with the Intelligent Orthosis is smooth and close to normal gait from the viewpoint of biomechanics. Even in patients with muscle weakness of the quadriceps, control of the knee joint using the Intelligent Orthosis resulted in a more smooth gait with low muscle discharge.
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Xu, Hong Ke, Jia Yu Yang, Ming Qiang Song, Yong Zhao Qu, and Xiao Hong Wang. "Microcontroller-Based Intelligent Traffic Signal Controller Design." Advanced Materials Research 998-999 (July 2014): 621–25. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.621.
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With the road traffic congestion problems become more and more serious, and the current traffic lights don’t possess the function of revising timely and flexible, it can't meet the requirements of real-time controlling and make the traffic in intersection more efficient. The design of Microcontroller-based traffic signal controller fixes this problem. It based on STC90C51 as CPU solutions; LED lights and digital pipe were used as display module; 8 independent keyboards were used as the only manual input device; Software used the C programming language. The intelligent traffic light system covered the multi-phase and multi-period. So we could choose two-phase/four-phase/six-phase according to the particular road and traffic condition. Besides, it took the special status of emergency vehicles into account. It also had a manual input keyboard so that you could adjust the signal at any time. This design can effectively improve the traffic congestion problem.
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Jung, Daekyo, Vu Tran Tuan, Dai Quoc Tran, Minsoo Park, and Seunghee Park. "Conceptual Framework of an Intelligent Decision Support System for Smart City Disaster Management." Applied Sciences 10, no. 2 (January 17, 2020): 666. http://dx.doi.org/10.3390/app10020666.
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In order to protect human lives and infrastructure, as well as to minimize the risk of damage, it is important to predict and respond to natural disasters in advance. However, currently, the standardized disaster response system in South Korea still needs further advancement, and the response phase systems need to be improved to ensure that they are properly equipped to cope with natural disasters. Existing studies on intelligent disaster management systems (IDSSs) in South Korea have focused only on storms, floods, and earthquakes, and they have not used past data. This research proposes a new conceptual framework of an IDSS for disaster management, with particular attention paid to wildfires and cold/heat waves. The IDSS uses big data collected from open application programming interface (API) and artificial intelligence (AI) algorithms to help decision-makers make faster and more accurate decisions. In addition, a simple example of the use of a convolutional neural network (CNN) to detect fire in surveillance video has been developed, which can be used for automatic fire detection and provide an appropriate response. The system will also consider connecting to open source intelligence (OSINT) to identify vulnerabilities, mitigate risks, and develop more robust security policies than those currently in place to prevent cyber-attacks.
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Tinsel, Erik-Felix, Oliver Riedel, and Alexander Verl. "Smartes Assistenzsystem zur Anforderungserhebung/From customer idea to plant and machinery manufacturer – An intelligent assistance system for requirements elicitation." wt Werkstattstechnik online 111, no. 05 (2021): 295–99. http://dx.doi.org/10.37544/1436-4980-2021-05-29.
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Fehler bei der Inbetriebnahme von Maschinen und Anlagen sind kostspielig und zeitintensiv. Dabei steigen die Kosten mit dem Voranschreiten des Entwicklungsprozesses stark an. Um Missverständnisse oder Planungsfehler zu minimieren, bevor diese hohe Kosten verursachen, wird ein intelligentes Assistenzsystem beschrieben, das die Vorstellungen, Ziele und Mittel des Kunden auf einfache Weise erfasst und auftretende Probleme oder Unklarheiten reaktiv korrigiert. Der Maschinen- und Anlagenhersteller profitiert dabei von einer automatisch erstellten, einheitlichen Dokumentation der Kundenanforderungen. Errors during commissioning of machines and plants are costly and time intensive. The costs grow higher with every step of the development process. To minimize misunderstandings and planning errors during the requirements phase, an intelligent assistance system is being introduced which acquires the ideas, goals and resources of a customer in a simple manner and reactively corrects arising problems or ambiguities. The machine and plant manufacturer profits from the uniform documentation of customer requirements.
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Bennet, Alex, David Bennet, Arthur Shelley, Theresa Bullard, and John Lewis. "The intelligent social change journey." VINE Journal of Information and Knowledge Management Systems 47, no. 2 (May 8, 2017): 265–300. http://dx.doi.org/10.1108/vjikms-03-2017-0012.
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Purpose This paper aims to share key ideas forwarded in the five-book series focused on the Intelligent Social Change Journey (ISCJ) reflecting the latest research in the Consciousness Series supported by the Mountain Quest Institute and collaborators. This review is based on five separate books released as Part I (Laying the Groundwork), Part II (Learning from the Past), Part III (Learning in the Present), Part IV (Co-Creating the Future) and Part V (Living the Future) of The Profundity and Bifurcation of Change. Design/methodology/approach Reflecting the consilience approach taken by this in-depth research, the review of ideas provided in this paper tap into a deep array of research in knowledge and learning, with specific reference to recent neuroscience understanding that is emerging, and looks to psychology, physics, cell biology, systems and complexity, cognitive theory, social theory and spirituality for their contributions. The five books are heavily referenced (look to the larger work for these references) and, considering the individual as an intelligent complex adaptive learning system (Bennet et al., 2015b), entangle materials from science to philosophy, facts to psychology, management to poetry and words to pictures. This much shorter review can only partially represent this approach. Findings At this point in the history of humanity ? in the midst of a conscious expansion of our human capacity and understanding ? the rules are changing. As we move away from predictable patterns susceptible to logic, we are increasingly reliant on our ?gut? instinct, an internal sense of knowing that can tap into the intuitional plane. Yet, this knowing can only serve us if we ?know? what to do with it, how to act. Development of our mental faculties is essential to acting. We are on a developmental journey of the body, mind and heart, moving from the heaviness of cause-and-effect linear extrapolations, to the fluidity of co-evolving with our environment, to the lightness of breathing our thought and feelings into reality. Grounded in development of our mental faculties, these are phase changes, each building on and expanding previous learning in our movement toward intelligent activity. Originality/value This review lays the groundwork for the ISCJ, exploring consciousness through the lens of the cause-and-effect logic of Phase 1 (Learning from the Past), the co-evolving of Phase 2 (Learning in the Present) and the creative leap of Phase 3 (Co-Creating the Future). This research connects the expansion of consciousness to development of the human knowledge system.
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SHEN, Ying, Li QI, Lanqun MAO, and Yi CHEN. "Development of intelligent monolithic stationary phase for chromatography." Chinese Journal of Chromatography 31, no. 4 (2013): 290. http://dx.doi.org/10.3724/sp.j.1123.2013.03001.
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Clark, Natalie. "Intelligent Optical Systems Using Adaptive Optics." Advances in Science and Technology 82 (September 2012): 64–74. http://dx.doi.org/10.4028/www.scientific.net/ast.82.64.
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Until recently, the phrase adaptive optics generally conjured images of large deformable mirrors being integrated into telescopes to compensate for atmospheric turbulence. However, the development of smaller, cheaper devices has sparked interest for other aerospace and commercial applications. Variable focal length lenses, liquid crystal spatial light modulators, tunable filters, phase compensators, polarization compensation, and deformable mirrors are becoming increasingly useful for other imaging applications included guidance navigation and control (GNC), coronagraphs, foveated imaging, situational awareness, autonomous rendezvous and docking, non-mechanical zoom, phase diversity, and enhanced multi-spectral imaging. Active components presented allow flexibility in the optical design, increasing performance. In addition, the intelligent optical systems presented offer advantages in size and weight and radiation tolerance.
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Yang, Lihua, Yu Zhang, Jun Wang, Yiding Wang, and William W. Yu. "Pressure-induced phase transitions of lead iodide." RSC Advances 6, no. 88 (2016): 84604–9. http://dx.doi.org/10.1039/c6ra16487k.
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Mudhiah, Imtinan Dian, and Siti Maghfirotun Amin. "Profil Berpikir Siswa SMA dalam Menyelesaikan Soal Matematika Ditinjau dari Kecerdasan Emosional." MATHEdunesa 9, no. 1 (June 16, 2020): 136–44. http://dx.doi.org/10.26740/mathedunesa.v9n1.p136-144.
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In mathematics learning a person often solves problems. In solving mathematical problems, a person needs a thought process with the thought process that an individual can come up with an idea to solve mathematical problems correctly. Stages of thinking take place individually and have a relationship with the social interactions carried out. The interaction will produce behavior. One factor that influences behavior is emotion. Therefore, the behavior of every individual must be related to good emotional control so that it can produce good behavior as well.Good emotional control requires preparedness and thought so that the behavior carried out does not have a negative impact on others. The readiness and thinking of a person can be seen from the age of an individual. The teenage phase occurs in someone at the age of 12 years to 18 years. At that age, an individual is in the middle or high school level. If a teenager feels school activities are not able to accommodate his thoughts, then he will overflow for less positive things. So teenagers should have the good emotional intelligence to control their emotions.This research is a descriptive study with a qualitative approach that aims to describe how the profile of thinking in solving mathematical problems based on the level of emotional intelligence. Subjects in this study were three students consisting of one student with high emotional intelligence, one student with moderate emotional intelligence, and one student with low emotional intelligence. In achieving these objectives the researchers conducted emotional intelligence tests, tests of mathematical problem solving, and interviews of the three subjects.The results showed that students with high emotional intelligence were able to solve mathematical problems with SPLTV material correctly, all information on the questions was used, writing steps to solve problems coherently and correctly, choosing the correct method to solve the problems. Emotionally intelligent students are less able to solve mathematical problems with SPLTV material correctly, because there is information on questions that are not used, and that results in choosing a method to solve the problem so that in solving it is less correct. Low emotional intelligence students are less able to solve mathematical problems with SPLTV material correctly because they are not able to remember previous knowledge, there is information on questions that are not used, the methods used are not correct, so in solving them less correct.Keywords: Thinking, Mathematics, and Emotional Intelligence.
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Bartes, František. "Five-phase model of the intelligence cycle of Competitive Intelligence." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 2 (2013): 283–88. http://dx.doi.org/10.11118/actaun201361020283.
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In business Competitive Intelligence practice is often used four-phase model of intelligence cycle in Competitive Intelligence and Management, collection, analysis and distribution. Based on its 20 years of business experience, the author believes that this four-phase model CI cycle is suitable for simpler tasks of CI, or its use is appropriate in the particular circumstances of governmental organizations – e.g. CIA etc.. But current business practice confronts Competitive Intelligence in a globalized world much more demanding tasks.For lack of basic four-step model of intelligence cycle author considers a substantial disparity of the data, information or snippets of information. It is these disparate elements, which then enter the next phase of the intelligence cycle – analysis. It is a fact that these figures, data or pieces of information can be well developed in the intelligence analysis only to a limited extent. Larger quantities of data have resulted in the high-quality processing. This leads top management to its strategic decision-making with less quality materials. These problems can be solved by using the five phase model of intelligence cycle in Competitive Intelligence.
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Nicholson, Laura, Olivia Lin, and Edward Shim. "Intelligent Bed Sheet Detects Respiratory Patterns." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1177–81. http://dx.doi.org/10.1177/1541931218621271.
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A new technology using an intelligent bed sheet made of fabric sensors is described as a novel advancement that supports wireless and continuous monitoring of vital signs without requiring wire attachments to the body. The intelligent bed sheet developed by Studio 1 Labs Inc. (Studio 1 Labs), can be used to support three distinct groups: i) healthcare institutions with human resource constraints, ii) caregivers who provide care for seniors, infants and children at home, and iii) independent seniors who prefer to age in place. This article describes two complementary research phases using the intelligent bed sheet to detect heart rate, respiratory rate, and respiratory effort. The first phase explores sensor validation from the intelligent bed sheet with preset respiratory conditions from high technology mannequins. The second phase involves a use case with healthy young adults comparing between physiological signals from the bed sheet with standard nursing protocols of manual counts and a pulse oximeter approved by Health Canada.
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LEI, SHEN, ZHANG XIYING, REN XIANGFANG, and CHEN HAN. "Research status and prospect of intelligent fibres and textiles." Industria Textila 72, no. 03 (June 30, 2021): 274–83. http://dx.doi.org/10.35530/it.072.03.1747.
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Intelligent fibre is a kind of fibre that integrates sensing and information processing. It is similar to biological materialsand has intelligent functions such as self-perception, self-adaptation, self-diagnosis, and self-repair. Intelligent textilesrefer to textiles that have sensing and responding functions to the environment. Intelligent fibres and their textiles notonly have the ability to perceive and respond to external stimuli but also have the ability to adapt to the externalenvironment. In recent years, the research on intelligent fibres has achieved many results in the world, and it is widelyused in textiles and clothing industry. Therefore, this paper summarized the research status of intelligent fibre andintelligent textile worldwide, and put forward the research direction in the future. This paper introduced the propertiesand research status of five kinds of main intelligent fibres, including phase change fibre, shape memory fibre, smarthydrogel fibre, optical fibre and electronic intelligent fibre, and summarized their application in textiles. This paper alsointroduced the research status of five important intelligent textiles, including intelligent temperature control textile, shapememory textiles, waterproof and moisture permeable textile, intelligent antibacterial textile and electronic intelligenttextile. Moreover, it forecasted the development prospects of intelligent fibres and textiles, and pointed out developmentdirection in three aspects of performance optimization, green and safety, industrialization. It provided research referenceand guidance for future intelligent fibre and intelligent textile.
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Zhao, Min, Danyang Qin, Ruolin Guo, and Xinxin Wang. "Indoor Floor Localization Based on Multi-Intelligent Sensors." ISPRS International Journal of Geo-Information 10, no. 1 (December 25, 2020): 6. http://dx.doi.org/10.3390/ijgi10010006.
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With the continuous expansion of the market of indoor localization, the requirements of indoor localization technology are becoming higher and higher. Existing indoor floor localization (IFL) systems based on Wi-Fi signal and barometer data are susceptible to external environment changes, resulting in large errors. A method for indoor floor localization using multiple intelligent sensors (MIS-IFL) is proposed to decrease the localization errors, which consists of a fingerprint database construction phase and a floor localization phase. In the fingerprint database construction phase, data acquisition is performed using magnetometer sensor, accelerator sensor and gyro sensor in the smartphone. In the floor localization phase, an active pattern recognition is performed through the collaborative work of multiple intelligent sensors and machine learning classifiers. Then floor localization is performed using magnetic data mapping, Euclidean closest approximation and majority principle. Finally, the inter-floor detection link based on machine learning is added to improve the overall localization accuracy of MIS-IFL. The experimental results show that the performance of the proposed method is superior to the existing IFL.
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Wu, Shengbiao, Weihua Cao, Min Wu, and Can Liu. "Microwave Filter Modeling and Intelligent Tuning." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 6 (October 20, 2018): 924–32. http://dx.doi.org/10.20965/jaciii.2018.p0924.
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Traditional filter tuning methods mainly entail tuning by electromagnetic simulation technology, which treats the tuned filter as an ideal model. However, the structure of the actual filter is relatively complex, and filter tuning becomes affected by the loss of resonant cavity, phase loading and high-order mode. In this study, to solve these problems, the tuning process was divided into four stages. First, the passband and suppression of the filter could be tuned to a reasonable range by using the phase attribute of the reflection characteristics. Secondly, the tuning model parameters (coupling matrix) were extracted by curve fitting and the improved Cauchy method. Thirdly, the tuning model of the actual filter was established by a complex neural network. Finally, the mapping relationship between the surrogate model and the actual tuning model was established by the improved space mapping algorithm. By optimizing the parameters of surrogate model, we quickly obtained the optimal position of the screws. The results of the tuning experiment with the eighth coaxial cavity filter revealed that the method had high accuracy and fast convergence speed.
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Zhang, Chang Yong, and Zhong Jing Zhou. "Design of Intelligent Protector for Mine Magnetic Starter." Advanced Materials Research 562-564 (August 2012): 1827–31. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1827.
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A kind of intelligent magnetic starter was introduced. It can control the starting, maintaining and breaking of the AC contactor. The function of protector was to protect the motor when it was in the case of over-voltage, under-voltage, jam, overload, unbanlance and phase loss. It can also display the line voltage, three phase current of the motor, Moreover, the intercommunication between the protector and PC was realized.
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Sipos, Anca. "A Knowledge-Based System as a Sustainable Software Application for the Supervision and Intelligent Control of an Alcoholic Fermentation Process." Sustainability 12, no. 23 (December 7, 2020): 10205. http://dx.doi.org/10.3390/su122310205.
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One goal of specialists in food processing is to increase production efficiency in accordance with sustainability by optimising the consumption of raw food materials, water, and energy. One way to achieve this purpose is to develop new methods for process monitoring and control. In the winemaking industry, there is a lack of procedures regarding the common work based on knowledge acquisition and intelligent control. In the present article, we developed and tested a knowledge-based system for the alcoholic fermentation process of white winemaking while considering the main phases: the latent phase, exponential growth phase, and decay phase. The automatic control of the white wine’s alcoholic fermentation process was designed as a system on three levels. Level zero represents the measurement and adjustment loops of the bioreactor. At the first level of control, the three phases of the process are detected functions of the characteristics of the fermentation medium (the initial substrate concentration, the nitrogen assimilable content, and the initial concentration of biomass) and, thus, functions on the phase’s duration. The second level achieves the sequence supervision of the process (the operation sequence of a fermentation batch) and transforms the process into a continuous one. This control level ensures the quality of the process as well as its diagnosis. This software application can be extended to the industrial scale and can be improved by using further artificial intelligence techniques.
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Fougères, Alain-Jérôme, and Egon Ostrosi. "Intelligent agents for feature modelling in computer aided design." Journal of Computational Design and Engineering 5, no. 1 (November 6, 2017): 19–40. http://dx.doi.org/10.1016/j.jcde.2017.11.001.
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Abstract CAD modelling can be referred to as the process of generating an integrated multiple view model as a representation of multiple views of engineering design. In many situations, a change in the model of one view may conflict with the models of other views. In such situations, the model of some views needs to be adapted in order to make all models consistent. Thus, CAD models should be capable of adapting themselves to new situations. Recently, agent based technologies have been considered in order to increase both knowledge level and intelligence of real and virtual objects. The contribution of this paper consists in introducing the intelligent agents in intelligent CAD modelling. The proposed agents are elementary geometrical and topological objects. They incorporate the functions of observation, decision and action, and possess their own knowledge. Agents have the capacity of communication and inference based on the feature grammars. They are modelled as bio-dynamic objects that enjoy the properties of fusion, division and multiplication. Being aware of the context, the proposed agents interact to form potential regional transitory communities, called regions. Being aware of their belonging in a region, agents interact by generating virtual links (virtual extensions). These virtual links produce: (a) fusion of agents, (b) division of agents and c) multiplication of agents. The emerged agents interact with the other agents in a region to recognize each other and to form specific sub-communities, called intelligent features. From a CAD software development point of view, this paper advocates the idea of a new phase of CAD system development based on the agent-oriented programming (AOP) paradigm. Highlights This paper proposes the agent paradigm for intelligent CAD modelling. Second section presents the state of art. In the third section, using the linguistic hypothesis of product design, a feature modelling formalism is presented. Fourth section presents a formal model for agent modelling. In the fifth section, agents for feature generation and modelling are formalised and modelled. The sixth section presents the application of the method. Finally, in the last section, the conclusion and future developments are proposed.
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Livergood, Norman D. "A Study of the Effectiveness of a Multimedia Intelligent Tutoring System." Journal of Educational Technology Systems 22, no. 4 (June 1994): 337–44. http://dx.doi.org/10.2190/dthe-9hmv-qgr9-d38m.
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In this study, college undergraduate students were presented identical material on the domain of intelligent tutoring systems. The author designed his research to isolate the key variables, disallow for the effect of some of those variables, and determine in a precise way what effects are produced by a multimedia delivery system, repetition of instructional and testing material, and an intelligent tutoring system delivery system. The first phase of this study, comparing test scores of students who were presented material in two delivery systems: 1) hard-copy (printed material), and 2) a computer-based multimedia program, indicated no statistically significant difference in scores. A second part of that phase, comparing test scores and re-test scores of students studying the computer-based multimedia program, indicated no statistically significant difference in scores. The second phase of this study, comparing scores of the two initial delivery systems and scores on a multimedia modified intelligent tutoring system, resulted in a statistically significant difference in scores.
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Rodriguez-Bernuz, Joan-Marc, Eduardo Prieto-Araujo, Francesc Girbau-Llistuella, Andreas Sumper, Roberto Villafafila-Robles, and Josep-Andreu Vidal-Clos. "Experimental validation of a single phase Intelligent Power Router." Sustainable Energy, Grids and Networks 4 (December 2015): 1–15. http://dx.doi.org/10.1016/j.segan.2015.07.001.
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Wu, Yunzhao, Yuqi Zhou, Chun-Jung Huang, Hirofumi Kobayashi, Sheng Yan, Yasuyuki Ozeki, Yingli Wu, et al. "Intelligent frequency-shifted optofluidic time-stretch quantitative phase imaging." Optics Express 28, no. 1 (January 2, 2020): 519. http://dx.doi.org/10.1364/oe.380679.
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Rocabert, Joan, Gustavo M. S. Azevedo, Alvaro Luna, Josep M. Guerrero, Jose Ignacio Candela, and Pedro Rodríguez. "Intelligent Connection Agent for Three-Phase Grid-Connected Microgrids." IEEE Transactions on Power Electronics 26, no. 10 (October 2011): 2993–3005. http://dx.doi.org/10.1109/tpel.2011.2116126.
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Jiang, Q. "On phase transformations and intelligent behavior of ferroelectric crystals." Smart Materials and Structures 1, no. 3 (September 1, 1992): 258–68. http://dx.doi.org/10.1088/0964-1726/1/3/011.
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Huberman, Bernardo A., and Tad Hogg. "Phase transitions in artificial intelligence systems." Artificial Intelligence 33, no. 2 (October 1987): 155–71. http://dx.doi.org/10.1016/0004-3702(87)90033-6.
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Balke, Kevin N., Conrad L. Dudek, and Thomas Urbanik. "Development and Evaluation of Intelligent Bus Priority Concept." Transportation Research Record: Journal of the Transportation Research Board 1727, no. 1 (January 2000): 12–19. http://dx.doi.org/10.3141/1727-02.
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Development and laboratory testing of an intelligent concept for providing priority to buses at signalized intersections without disrupting progression are discussed. The concept used bus position information to predict when in the cycle a bus would arrive at the bus stop and stop line of a signalized intersection and to determine whether a bus needs priority. The strategy used to provide priority was selected on the basis of the estimated arrival time of the bus at the stop line. Priority was provided by using phase extension, phase insertion, and early return strategies without causing the controller to drop from coordination. Implementation of the strategies was accomplished through normal traffic-signal controller commands (such as Ring Force Offs and Phase Holds). Hardware-in-the-loop simulation studies were performed to evaluate the effectiveness of the concept with real traffic-signal controllers. The performance of the intelligent bus priority approach was examined at three volume-to-capacity levels: 0.5, 0.8, and 0.95. Significant reductions in bus travel times were achieved at all three volume-to-capacity levels by using the intelligent bus priority approach. Use of the intelligent bus priority approach resulted in only minor increases in total system stop delay and individual approach stop delays at volume-to-capacity levels of 0.5 and 0.8. The results of the simulation studies performed as part of this study suggested to the researchers that the intelligent bus priority approach could be used at moderate traffic levels (up to volume-to-capacity levels of 0.9 or less) without significantly affecting cross-street delays.
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Haleem, Abid, and Mohd Javaid. "Medical 4.0 and Its Role in Healthcare During COVID-19 Pandemic: A Review." Journal of Industrial Integration and Management 05, no. 04 (November 19, 2020): 531–45. http://dx.doi.org/10.1142/s2424862220300045.
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Medical 4.0 is now emerging as the fourth medical revolution. It represents the applications of electronically supported Information Technology, microsystem, high level of automation, personalized therapy, and Artificial Intelligence (AI)-enabled intelligent devices enabled through the Internet of Medical Things (IoMT). In the current scenario, the COVID-19 pandemic has a significant effect on global healthcare, and this impact is also observed in associated fields. There is a requirement for proper telehealth management and remote monitoring systems in healthcare. Medical 4.0, if implemented, can adequately handle the ongoing situation in the medical field as it will provide applications of advanced technologies to take care of the challenges of the COVID-19 outbreak. This paper studies Medical 4.0 exclusively and also in the context of COVID-19. The paper provides a brief of the significant medical revolution that has happened so far and identifies the significant supporting technologies of Medical 4.0. It also discusses the primary capabilities of Medical 4.0 for healthcare during the COVID-19 pandemic crisis. The roles of Medical 4.0 in healthcare during the COVID-19 pandemic are studied, and finally, this paper identifies 10 significant applications of Medical 4.0 in healthcare during COVID-19-type pandemics. We observe that the contemporary phase of development and mass-level production of intelligent medical devices has not happened in the same way as it has happened for smart electronic devices and application devices. Engineers will have a prominent role in taking up the healthcare challenges that can reach the common man.
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Hoang, Nhat-Duc. "Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach." Computational Intelligence and Neuroscience 2018 (October 1, 2018): 1–16. http://dx.doi.org/10.1155/2018/1312787.
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To improve the efficiency of the periodic surveys of the asphalt pavement condition, this study puts forward an intelligent method for automating the classification of pavement crack patterns. The new approach relies on image processing techniques and computational intelligence algorithms. The image processing techniques of Laplacian pyramid and projection integral are employed to extract numerical features from digital images. Least squares support vector machine (LSSVM) and Differential Flower Pollination (DFP) are the two computational intelligence algorithms that are employed to construct the crack classification model based on the extracted features. LSSVM is employed for data classification. In addition, the model construction phase of LSSVM requires a proper setting of the regularization and kernel function parameters. This study relies on DFP to fine-tune these two parameters of LSSVM. A dataset consisting of 500 image samples and five class labels of alligator crack, diagonal crack, longitudinal crack, no crack, and transverse crack has been collected to train and verify the established approach. The experimental results show that the Laplacian pyramid is really helpful to enhance the pavement images and reveal the crack patterns. Moreover, the hybridization of LSSVM and DFP, named as DFP-LSSVM, used with the Laplacian pyramid at the level 4 can help us to achieve the highest classification accuracy rate of 93.04%. Thus, the new hybrid approach of DFP-LSSVM is a promising tool to assist transportation agencies in the task of pavement condition surveying.