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Journal articles on the topic 'Mass communication|Artificial intelligence|Computer science'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Kusumawati, Ririen. "KECERDASAN BUATAN MANUSIA (ARTIFICIAL INTELLIGENCE); TEKNOLOGI IMPIAN MASA DEPAN." ULUL ALBAB Jurnal Studi Islam 9, no. 2 (December 26, 2018): 257–74. http://dx.doi.org/10.18860/ua.v9i2.6218.

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The computer technology has incredibly increased. Computer software and hardware compete to meet the customer's needs. The research intends to spread the knowledge of information technology, specifically, on the artificial intelligence. The concept of artificial intelligence is adopting and imitating human form, character, and habit which to be implemented on the computer. Using natural approach, the research aims to investigate whether artificial intelligence (AI) will produce the duplication of God's creation. Another important reason of other reseaches on AI is to create a computer which is smart and able to understand human brain working system. Hence, AI has been designed into more practical with faster CPU, cheaper mass memory, and sophisticated software tool. The concept of integrating AI science or collaborative art among sub-fields of technology will stimulate and lead to further AI researches, and it will be an interesting topic for AI researchers for developing AI technology in the future.

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Stengler, Erik, and Jimena Escudero Pérez. "SiP 2017 panel: speculations and concerns on robots' status in society." Journal of Science Communication 16, no. 04 (September 20, 2017): C06. http://dx.doi.org/10.22323/2.16040306.

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Studying fictional depictions of robots and artificial intelligence in cinematographic science fiction narratives acquires a new level of relevance as legislators' approaches to the subject seem to be strongly influenced by popular culture. This panel of Science in Public 2017 presented various on-going investigations of this kind, showing that the critical mass in this area of research is growing

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Vladymyrov, Volodymyr. "Fourth Stage of the Information Revolution: Probable Drawings, Incredible Opportunities." Scientific notes of the Institute of Journalism, no. 1 (76) (2020): 11–24. http://dx.doi.org/10.17721/2522-1272.2020.76.1.

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The article discusses the prospects for the development of the mass communication science in the direction of including in its discourse the modern achievements in the field of the relation between quantum physics and consciousness as well as the artificial intelligence. It will give the media new opportunities to influence mass consciousness, and to impact social processes.It allows to forecast the rise of the next, the fourth stage of the information revolution and to recognize the ways for preparation to it. Quantum physics appears as classical physics develops in the study of the world. Scientists explain quantumness as the relations of everything with everything. Quantumism and consciousness are an already mastered topics of modern science. If we talk about mass consciousness, it should be recognized as a scholar problem and the existence of quantumness as an underlying phenomenon in mass communication. Perhaps this will be the content of the new, fourth stage of the information revolution – after its computer, Internet and mobile stages. Therefore, the urgency of the problem we are addressing is the need to “let in” quantum methods into the thinking, creation and dissemination of the mass-information product in the mass audience. Theorists of our scientific discipline are interested in precisely the new knowledge of quantum “confusion” in the depths of mass consciousness, which exists and manifests itself in the processes of mass communication. Then the quantum approach can be extremely fruitful here. Quantumism here appears both as a universal connection of everything with everything, and as the unpredictability of the nature of these connections from the point of view of ordinary and even dialectical logic. Here, the quantum logic of mass communication should be discovered. It should be noted that so far almost no one has noticed that media interference in the natural mental life of large human communities gives rise to a phenomenon similar to quantum “confusion”, when a change in the state of one “mass” thoughts occurs along with a change in the state of another. Quantum “confusion” is what permeates all the “matter” of human communication / existence. All participants in mass communication are “confused” with themselves, like photons in physics. And they’re not just confused, everybody is one and the part of whole in the external, “physical”, existing, and is the part of the ideal world, with its thoughts, hopes, emotions, “confused” in the Internet The introduction of quantumness as the leading principle of influence on mass consciousness is one of the three steps to a new stage in the information revolution. The second is the growing potential of artificial intelligence. The third is the gradual creation of quantum computers. All these together will make it possible to reach each recipient of information, to enter the inner, ideal world of an individual person, and even to see in this communication an intrapersonal discussion of a person with himself – and to control its course. Probably, the result will be the opportunity to learn to predict the unpredictable in behavior of “this” person in his behavior – in personal, group, intergroup, mass ones.

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Fernandes, Carlos M. "Pherographia: Drawing by Ants." Leonardo 43, no. 2 (April 2010): 107–12. http://dx.doi.org/10.1162/leon.2010.43.2.107.

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This paper addresses the hypothetical relationship of photography and so-called pheromone maps created by an artificial life system that simulates an ant colony and causes its activity to evolve based on the contours of images. Pheromone—used by ants to communicate via the environment—is also simulated, and from the communication and interaction of the swarm with the environment (an image) there results a kind of drawing made with the simulated pheromone. Since ants are able to detect the edges of the image, the outcome is a sketch that resembles the original image, as with old camera obscura drawings. This text explores the observable traits shared by the photographic process and the swarm's pheromone maps. The theme is discussed in the context of the emergent artificial art research field; recent theoretical advances that link swarm intelligence and cognitive sciences are also addressed.

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Iliin, V. P. "How to reorganize computer science and technologies?" Вестник Российской академии наук 89, no. 3 (March 24, 2019): 232–42. http://dx.doi.org/10.31857/s0869-5873893232-242.

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The fundamentals of modern progress are based on the infinite growth rates of the computational and informational capacities of a post-petaflop scale, which provide unthinkable opportunities for acquiring new knowledge and introducing innovation into production, environmental management, and the economic and social spheres. The key method here is based upon the predictive mathematical modeling of processes and phenomena, including theoretical and applied research, super-computations and large-scale computer experiments, operations with mega-data sets, and artificial intelligence. The solution to emerging supertasks requires huge amounts of new generation intelligent software, which is impossible without the formation of new concepts and paradigms of activity, architectural solutions, and constructive technologies. The world is embracing the creation of integrated computing and information environments, forming an instrumental context for automating the construction of models and algorithms, their mapping onto supercomputer platforms, and the creation of comfortable interfaces for users with different professional backgrounds. Such an ecosystem is designed for a long life cycle with continuous development and the coordinated participation of various groups of developers, as well as widespread demand. In fact, this is leading to the formation of a new industry with mass professions requiring high supercomputer literacy. The identified scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams

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Ruiz-Rosero, Juan, Gustavo Ramirez-Gonzalez, and Rahul Khanna. "Field Programmable Gate Array Applications—A Scientometric Review." Computation 7, no. 4 (November 11, 2019): 63. http://dx.doi.org/10.3390/computation7040063.

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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Filby, Evan E., and Richard A. Rankin. "Expert overseer for mass spectrometer system." Expert Systems with Applications 4, no. 1 (January 1992): VI. http://dx.doi.org/10.1016/0957-4174(92)90056-x.

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Gao, Xiaozhuan, and Yong Deng. "Quantum model of mass function." International Journal of Intelligent Systems 35, no. 2 (November 26, 2019): 267–82. http://dx.doi.org/10.1002/int.22208.

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Krzywanski, Jaroslaw. "A General Approach in Optimization of Heat Exchangers by Bio-Inspired Artificial Intelligence Methods." Energies 12, no. 23 (November 22, 2019): 4441. http://dx.doi.org/10.3390/en12234441.

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The paper introduces the artificial intelligence (AI) approach as a general method for the design and optimization study of heat exchangers. Genetic Algorithms (GA) and Artificial Neural Networks (ANN) are applied in the paper. An AGENN model, combining Genetic Algorithms with Artificial Neural Networks, was developed and validated against the desired data on a large falling film evaporator. A broad range of operating conditions and geometric configurations are considered in the study. Four kinds of tubes are deliberated, including plain and enhanced tubes. Different tube pass arrangements, i.e., top-to-bottom, bottom-to-top, and side-by-side, are discussed. Finally, the effects of liquid refrigerant mass flow rate, as well as the number of flooded tubes on the performance of the evaporator, are analyzed. The total heat transfer rate of the evaporator, predicted by the model, is in good agreement with the desired data; the maximum error is lower than ±3%. The highest heat transfer rate of the evaporator is 1140.01 kW and corresponds to Turbo EHP tubes, and bottom-to-top tubes pass arrangements, which guarantee the best thermal energy conversion. The presented approach can be referred to as a complementary technique in heat exchanger design procedures, besides the common rating and sizing tasks. It is an effective and alternative method for the existing approaches, considering the complexity of analytical and numerical techniques as well as the high costs of experiments.

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Baldwin, J. F., J. Lawry, and T. P. Martin. "A mass assignment method for prototype induction." International Journal of Intelligent Systems 14, no. 10 (October 1999): 1041–70. http://dx.doi.org/10.1002/(sici)1098-111x(199910)14:10<1041::aid-int6>3.0.co;2-9.

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Belanche, Daniel, Luis V. Casaló, and Carlos Flavián. "Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers." Industrial Management & Data Systems 119, no. 7 (August 12, 2019): 1411–30. http://dx.doi.org/10.1108/imds-08-2018-0368.

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Purpose Considering the increasing impact of Artificial Intelligence (AI) on financial technology (FinTech), the purpose of this paper is to propose a research framework to better understand robo-advisor adoption by a wide range of potential customers. It also predicts that personal and sociodemographic variables (familiarity with robots, age, gender and country) moderate the main relationships. Design/methodology/approach Data from a web survey of 765 North American, British and Portuguese potential users of robo-advisor services confirm the validity of the measurement scales and provide the input for structural equation modeling and multisample analyses of the hypotheses. Findings Consumers’ attitudes toward robo-advisors, together with mass media and interpersonal subjective norms, are found to be the key determinants of adoption. The influences of perceived usefulness and attitude are slightly higher for users with a higher level of familiarity with robots; in turn, subjective norms are significantly more relevant for users with a lower familiarity and for customers from Anglo-Saxon countries. Practical implications Banks and other firms in the finance industry should design robo-advisors to be used by a wide spectrum of consumers. Marketing tactics applied should consider the customer’s level of familiarity with robots. Originality/value This research identifies the key drivers of robo-advisor adoption and the moderating effect of personal and sociodemographic variables. It contributes to understanding consumers’ perceptions regarding the introduction of AI in FinTech.

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Ismail, Sarina, Nur Aishah Awi, Monizaihasra Mohamed, Yusliza Mohd Yusof, Jumadil Saputra, and Ramayah Thurasamy. "Investigating the structural relationship of mass media on attitude, social influence, product safety and its impact on purchase behaviour of herbal product in Malaysia." International Journal of Data and Network Science 5, no. 4 (2021): 531–46. http://dx.doi.org/10.5267/j.ijdns.2021.8.014.

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Mass media is a crucial advertising platform and serves as an awareness platform for herbal product businesses. The rising popularity of herbal product consumption is due to the changing of lifestyle and health problems. With the increasing demand for herbal products globally, studies related to the herbal products purchase behaviour are considered very limited. Hence, the current study is written to investigate the structural relationship of mass media on attitude, social influence, product safety and its impact on purchase behaviour of Herbal products in Malaysia. By applying the Attitude-Behaviour Context Theory, this study used several variables, namely mass media toward attitude, social influence, and product safety and purchasing behaviour of herbal products. This study was designed using a quantitative approach through a survey questionnaire. A total of 467 respondents from seven states in Peninsular Malaysia have participated in this study and collected using the intercept survey. The data were analysed using structural equation modelling with a partial least square approach (SEM-PLS) and assisting SmartPLS 3.3.3. The results showed that mass media has a significant positive effect on attitude, social influence and product safety. Also, attitude, social influence and product safety have a significant positive impact on the purchase behaviour of herbal products. In conclusion, this study identified that mass media influence on attitudes is the strongest predictor, followed by the effects of the mass media on social influence. These findings indicated that the mass media play an essential role in influencing attitude, social influence, and product safety. Followed by attitude, social influence, and product safety that significantly impact the purchase behaviour of herbal products. The finding of this study provides insightful information to the entrepreneurs regarding consumers purchase behaviour.

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Zhang, Taihui, Honglei An, Qing Wei, Wenqi Hou, and Hongxu Ma. "Height control for a two-mass hopping robot based on stable limit cycle." International Journal of Advanced Robotic Systems 13, no. 6 (November 28, 2016): 172988141665774. http://dx.doi.org/10.1177/1729881416657749.

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Differing from the commonly used spring loaded inverted pendulum model, this paper makes use of a two-mass spring model considering impact between the foot and ground which is closer to the real hopping robot. The height of upper mass which includes the upper leg and body is the main control objective. Then we develop a new kind of control algorithm acting on two levels: The upper level aims to achieve the desired velocity of the upper mass based on a stable limit cycle, where three different controllers are used to regulate the limit cycle; the target of the lower level is to drive the system to converge to the desired state and control the contact force between the foot and ground within an appropriate range based on the inner force control at the same time. Simulation results presented in this paper confirm the efficiency of this control algorithm.

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Wei, Wei, Xiaofang Wei, Min Zuo, Tao Yu, and Yan Li. "Seizure control in a neural mass model by an active disturbance rejection approach." International Journal of Advanced Robotic Systems 16, no. 6 (November 1, 2019): 172988141989015. http://dx.doi.org/10.1177/1729881419890152.

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A closed-loop neuromodulation automatically adjusts stimuli according to brain response in real time. It is viewed as a promising way to control medically intractable epilepsy. A suitable closed-loop modulation strategy, which is robust enough to unknown nonlinearities, dynamics, and disturbances, is in great need in the clinic. For the specialization of epilepsy, the Jansen’s neural mass model is utilized to simulate the undesired high amplitudes epileptic activities, and active disturbance rejection control is designed to suppress the high amplitudes of epileptiform discharges. With the help of active disturbance rejection control, closed-loop roots of the system are far from the imaginary axis. Time domain response shows that active disturbance rejection control is able to control seizure no matter whether disturbances exist or not. At the same time, frequency domain response presents that enough stability margins and a broader range of tunable controller parameters can be obtained. Stable regions have also been presented to provide guidance to choose the parameters of active disturbance rejection control. Numerical results show that, compared with proportional-integral control, more accurate modulation with less energy can be achieved by active disturbance rejection control. It confirms that the active disturbance rejection control-based neuromodulation solution is able to achieve a desired performance. It is a promising closed-loop neuromodulation strategy in seizure control.

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Wang, Yaoyao, Rui Zhang, Feng Ju, Jinbo Zhao, Bai Chen, and Hongtao Wu. "A light cable-driven manipulator developed for aerial robots: Structure design and control research." International Journal of Advanced Robotic Systems 17, no. 3 (May 1, 2020): 172988142092642. http://dx.doi.org/10.1177/1729881420926425.

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To effectively reduce the mass and simplify the structure of traditional aerial manipulators, we propose novel light cable-driven manipulator for the aerial robots in this article. The drive motors and corresponding reducers are removed from the joints to the base; meanwhile, force and motion are transmitted remotely through cables. Thanks to this design, the moving mass has been greatly reduced. In the meantime, the application of cable-driven technology also brings about extra difficulties for high-precise control of cable-driven manipulators. Hence, we design a nonsingular terminal sliding mode controller using time-delay estimation. The time-delay estimation is applied to obtain lumped system dynamics and found an attractive model-free scheme, while the nonsingular terminal sliding mode controller is utilized to enhance the control performance. Stability is analyzed based on Lyapunov theory. Finally, the designed light cable-driven manipulator and presented time-delay estimation-based nonsingular terminal sliding mode controller are analyzed. Corresponding results show that (1) our proposed cable-driven manipulator has high load to mass ratio of 0.8 if we only consider the moving mass and (2) our proposed time-delay estimation-based nonsingular terminal sliding mode is model-free and can provide higher accuracy than the widely used time-delay estimation-based proportional–derivative (PD) controller.

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Qiu, Yuanran, Wei Xu, and Zhengmin Li. "Performance evaluation of a novel intelligent distributed mounting system for marine mechanical equipment." International Journal of Advanced Robotic Systems 16, no. 6 (November 1, 2019): 172988141988356. http://dx.doi.org/10.1177/1729881419883562.

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Machinery mounting system is one of the most significant vibration and noise attenuation technology for marine mechanical equipment. A novel intelligent mounting system having distributed intermediate mass light in weight, intelligent in function and small in installation space is presented. The performance of the novel distributed mounting system is analysed using a simplified but efficient theoretical model. The influences of system designing parameters including weight of intermediate mass, stiffness of isolators and mechanical impedance of foundation on vibration isolation efficiency are analysed. A scale experimental prototype was established to verify the accuracy of theoretical analysis. Conclusions of theoretical and experimental analysis reveal that stiffness of isolators should be chosen as small as possible under the premise of stability of system. The intermediate mass should be chosen within a reasonable range based on the index requested on isolation efficiency because substantial increase on intermediate mass will not lead to substantial increase on vibration isolation efficiency which is different from conventional methods to obtain considerable isolation efficiency. And intelligent safety mechanism designed to ensure the ultimate operation safety of equipment was introduced. The novel intelligent mounting system is qualified with the need of practical projects on vibration isolation efficiency and reliability standard, providing a new way for vibration engineer to choose when making mounting plan for marine machinery equipment.

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An, Kang, Chuanjiang Li, Zuhua Fang, and Chengju Liu. "Effects of upper body parameters on biped walking efficiency studied by dynamic optimization." International Journal of Advanced Robotic Systems 14, no. 1 (December 22, 2016): 172988141668270. http://dx.doi.org/10.1177/1729881416682702.

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Walking efficiency is one of the considerations for designing biped robots. This article uses the dynamic optimization method to study the effects of upper body parameters, including upper body length and mass, on walking efficiency. Two minimal actuations, hip joint torque and push-off impulse, are used in the walking model, and minimal constraints are set in a free search using the dynamic optimization. Results show that there is an optimal solution of upper body length for the efficient walking within a range of walking speed and step length. For short step length, walking with a lighter upper body mass is found to be more efficient and vice versa. It is also found that for higher speed locomotion, the increase of the upper body length and mass can make the walking gait optimal rather than other kind of gaits. In addition, the typical strategy of an optimal walking gait is that just actuating the swing leg at the beginning of the step.

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Wang, Runze, Yide Ma, Wenhao Sun, Yanan Guo, Wendao Wang, Yunliang Qi, and Xiaonan Gong. "Multi-level nested pyramid network for mass segmentation in mammograms." Neurocomputing 363 (October 2019): 313–20. http://dx.doi.org/10.1016/j.neucom.2019.06.045.

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Amirkhani, Saeed, Saleh Mobayen, Nahal Iliaee, Olfa Boubaker, and S. Hassan Hosseinnia. "Fast terminal sliding mode tracking control of nonlinear uncertain mass–spring system with experimental verifications." International Journal of Advanced Robotic Systems 16, no. 1 (January 1, 2019): 172988141982817. http://dx.doi.org/10.1177/1729881419828176.

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In this article, a fast terminal sliding mode control technique is used for robust tracking control of a nonlinear uncertain mass–spring system in the existence of external perturbation. This system is considered as a benchmark problem in the flexible joint mechanisms. The joints flexibility in the robotic systems creates one of the most significant sources of parametric uncertainties. The theory of Lyapunov stability is used for the formulation of the proposed control method, and the presence of the sliding around the switching surface is satisfied in the finite time. Simulation results as well as the experimental verifications prove the efficiency and applicability of the suggested approach in the presence of parametric uncertainty, noise, and exterior disturbance.

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Or, Yizhar, and Moti Moravia. "Analysis of Foot Slippage Effects on an Actuated Spring-Mass Model of Dynamic Legged Locomotion." International Journal of Advanced Robotic Systems 13, no. 2 (March 2016): 69. http://dx.doi.org/10.5772/62687.

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Yin, Haibin, Shansheng Huang, Mingchang He, and Junfeng Li. "A unified design for lightweight robotic arms based on unified description of structure and drive trains." International Journal of Advanced Robotic Systems 14, no. 4 (July 1, 2017): 172988141771638. http://dx.doi.org/10.1177/1729881417716383.

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This article presents a unified design for lightweight robotic arms based on a unified description of structure and drive trains. In the unified design, the drive trains and structural dimensions are parameterized as design variables, and a major objective minimizes the total mass of robotic arms satisfying the constraint conditions and design criteria. To implement the optimization problem, a mapping relationship between mass and torque of drive trains is introduced as their power–density curves, which enable a unified description of structure and drive trains combining with the dynamics of robotic arms. In this implementation of unified design, there are two modules: structure optimization and drive trains design. The finite element method with nonlinear programming by quadratic Lagrange algorithm is adopted to implement the structure optimization. Moreover, the dynamic analysis in MSC ADAMS is achieved to design the drive trains of robotic arms. This method could uniformly evaluate all components of robotic arms in mass and continuously search the global optimal results. Finally, a design example on this unified design is compared with a referenced design to illustrate the validity and advantage of the proposed scheme.

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Duan, Jie, Huaguang Zhang, Yingchun Wang, and Ji Han. "Output consensus of heterogeneous linear MASs by self-triggered MPC scheme." Neurocomputing 315 (November 2018): 476–85. http://dx.doi.org/10.1016/j.neucom.2018.07.042.

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Xie, Weiying, Yunsong Li, and Yide Ma. "Breast mass classification in digital mammography based on extreme learning machine." Neurocomputing 173 (January 2016): 930–41. http://dx.doi.org/10.1016/j.neucom.2015.08.048.

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Shen, Rongbo, Jianhua Yao, Kezhou Yan, Kuan Tian, Cheng Jiang, and Ke Zhou. "Unsupervised domain adaptation with adversarial learning for mass detection in mammogram." Neurocomputing 393 (June 2020): 27–37. http://dx.doi.org/10.1016/j.neucom.2020.01.099.

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Subashini, T. S., V. Ramalingam, and S. Palanivel. "Breast mass classification based on cytological patterns using RBFNN and SVM." Expert Systems with Applications 36, no. 3 (April 2009): 5284–90. http://dx.doi.org/10.1016/j.eswa.2008.06.127.

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McDonald, Ross A., Paul Skipp, Julia Bennell, Chris Potts, Lyn Thomas, and C. David O’Connor. "Mining whole-sample mass spectrometry proteomics data for biomarkers – An overview." Expert Systems with Applications 36, no. 3 (April 2009): 5333–40. http://dx.doi.org/10.1016/j.eswa.2008.06.133.

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Tseng, Hwai-En, Chien-Chen Chang, and Shu-Hsuan Chang. "Applying case-based reasoning for product configuration in mass customization environments." Expert Systems with Applications 29, no. 4 (November 2005): 913–25. http://dx.doi.org/10.1016/j.eswa.2005.06.026.

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Guo, Wei, Changrong Cai, Mantian Li, Fusheng Zha, Pengfei Wang, and Zhenyu Jiang. "Estimation of leg stiffness using an approximation to the planar spring–mass system in high-speed running." International Journal of Advanced Robotic Systems 17, no. 1 (January 1, 2020): 172988141989071. http://dx.doi.org/10.1177/1729881419890713.

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Leg stiffness plays a critical role in legged robots’ speed regulation. However, the analytic solutions to the differential equations of the stance phase do not exist, of course not for the exact analytical solution of stiffness. In view of the challenge in dealing with every circumstance by numerical methods, which have been adopted to tabulate approximate answers, the “harmonic motion model” was used as approximation of the stance phase. However, the wide range leg sweep angles and small fluctuations of the “center of mass” in fast movement were overlooked. In this article, we raise a “triangle motion model” with uniform forward speed, symmetric movement, and straight-line center of mass trajectory. The characters are then shifted to a quadratic equation by Taylor expansion and obtain an approximate analytical solution. Both the numerical simulation and ADAMS-Matlab co-simulation of the control system show the accuracy of the triangle motion model method in predicting leg stiffness even in the ultra-high-speed case, and it is also adaptable to low-speed cases. The study illuminates the relationship between leg stiffness and speed, and the approximation model of the planar spring–mass system may serve as an analytical tool for leg stiffness estimation in high-speed locomotion.

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Huang, Zelin, Zhangguo Yu, Xuechao Chen, Qingqing Li, Libo Meng, Chencheng Dong, Xiang Meng, Wenxi Liao, and Qiang Huang. "Knee-stretched walking with toe-off and heel-strike for a position-controlled humanoid robot based on model predictive control." International Journal of Advanced Robotic Systems 18, no. 4 (July 1, 2021): 172988142110362. http://dx.doi.org/10.1177/17298814211036282.

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Knee-stretched walking is considered to be a human-like and energy-efficient gait. The strategy of extending legs to obtain vertical center of mass trajectory is commonly used to avoid the problem of singularities in knee-stretched gait generation. However, knee-stretched gait generation utilizing this strategy with toe-off and heel-strike has kinematics conflicts at transition moments between single support and double support phases. In this article, a knee-stretched walking generation with toe-off and heel-strike for the position-controlled humanoid robot has been proposed. The position constraints of center of mass have been considered in the gait generation to avoid the kinematics conflicts based on model predictive control. The method has been verified in simulation and validated in experiment.

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Baldwin, J. F., J. Lawry, and T. P. Martin. "A mass assignment based ID3 algorithm for decision tree induction." International Journal of Intelligent Systems 12, no. 7 (July 1997): 523–52. http://dx.doi.org/10.1002/(sici)1098-111x(199707)12:7<523::aid-int3>3.0.co;2-n.

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Wang, Ying, Jie Li, and Xinbo Gao. "Latent feature mining of spatial and marginal characteristics for mammographic mass classification." Neurocomputing 144 (November 2014): 107–18. http://dx.doi.org/10.1016/j.neucom.2013.11.050.

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Mateo, Fernando, Juan José Garcés-Iniesta, Berthold Jenninger, Juan Gómez-Sanchís, Emilio Soria-Olivas, and Paolo Chiggiato. "Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification." Expert Systems with Applications 178 (September 2021): 114959. http://dx.doi.org/10.1016/j.eswa.2021.114959.

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Salamat, Babak, and Andrea M. Tonello. "A Swash Mass Pendulum with Passivity-Based Control." IEEE Robotics and Automation Letters 6, no. 1 (January 2021): 199–206. http://dx.doi.org/10.1109/lra.2020.3037861.

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Liu, Xiaoming, and Zhigang Zeng. "A new automatic mass detection method for breast cancer with false positive reduction." Neurocomputing 152 (March 2015): 388–402. http://dx.doi.org/10.1016/j.neucom.2014.10.040.

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35

Wang, Wen-Pai. "Toward developing agility evaluation of mass customization systems using 2-tuple linguistic computing." Expert Systems with Applications 36, no. 2 (March 2009): 3439–47. http://dx.doi.org/10.1016/j.eswa.2008.02.015.

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36

Basu, Sankha S., and Stephen G. Simpson. "Mass problems and intuitionistic higher-order logic." Computability 5, no. 1 (February 11, 2016): 29–47. http://dx.doi.org/10.3233/com-150041.

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37

Kermani, Nazanin Zounemat, Xian Yang, Yike Guo, James McKenzie, and Zoltan Takats. "A Bi-directional Hierarchical Clustering (BHC) for Peak Matching of Large Mass Spectrometry Data Sets." International Journal of Machine Learning and Computing 11, no. 6 (November 2021): 373–79. http://dx.doi.org/10.18178/ijmlc.2021.11.6.1064.

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38

Guth, Michael A. S. "Uncertainty analysis of rule-based expert systems with Dempster-Shafer mass assignments." International Journal of Intelligent Systems 3, no. 2 (1988): 123–39. http://dx.doi.org/10.1002/int.4550030203.

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39

Burger, Thomas. "Geometric views on conflicting mass functions: From distances to angles." International Journal of Approximate Reasoning 70 (March 2016): 36–50. http://dx.doi.org/10.1016/j.ijar.2015.12.006.

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40

Hong, Young-Dae, and Ki-Baek Lee. "Stable Walking of Humanoid Robots Using Vertical Center of Mass and Foot Motions by an Evolutionary Optimized Central Pattern Generator." International Journal of Advanced Robotic Systems 13, no. 1 (January 2016): 27. http://dx.doi.org/10.5772/62039.

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41

Song, Xiaogang, Yongjie Zhao, Lei Jin, Peng Zhang, and Chengwei Chen. "Dynamic feedforward control in decoupling space for a four-degree-of-freedom parallel robot." International Journal of Advanced Robotic Systems 16, no. 1 (January 1, 2019): 172988141882045. http://dx.doi.org/10.1177/1729881418820451.

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Abstract:

This article proposes a dynamic feedforward control method for a four-degree-of-freedom parallel robot in decoupling space to improve the control accuracy and robust stability. The mass matrix and the gravity component are obtained from the rigid-body dynamic model that is formulated by means of the link Jacobian matrices and the principle of virtual work. Then using the positive definiteness of the mass matrix and singular value decomposition algorithms, a decoupling transformation matrix is obtained to convert the physical joint space to the decoupling modal space. In the modal space, a decoupling closed-loop controller design has been implemented for each driven leg. Afterward, by applying the gravity component of the dynamic model, a feedforward control subsystem has been designed to compensate the influence of gravity load on the parallel robot, which can further reduce the negative impacts caused by modeling inaccuracies. This numerical simulation analysis shows that the ideal control accuracy and robust stability have been achieved using the dynamic feedforward decoupling control method for the nonlinear and strongly coupled systems of the parallel robot. The described controller has a simple structure and can be easily realized in practice.

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Liu, Wei, Qian Ma, Qiang Wang, and Hongyan Feng. "Finite-time consensus control of heterogeneous nonlinear MASs with uncertainties bounded by positive functions." Neurocomputing 330 (February 2019): 29–38. http://dx.doi.org/10.1016/j.neucom.2018.10.048.

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43

Chen, Zhaoxun, and Liya Wang. "Personalized product configuration rules with dual formulations: A method to proactively leverage mass confusion." Expert Systems with Applications 37, no. 1 (January 2010): 383–92. http://dx.doi.org/10.1016/j.eswa.2009.05.050.

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44

Braz Junior, Geraldo, Simara Vieira da Rocha, Marcelo Gattass, Aristófanes Corrêa Silva, and Anselmo Cardoso de Paiva. "A mass classification using spatial diversity approaches in mammography images for false positive reduction." Expert Systems with Applications 40, no. 18 (December 2013): 7534–43. http://dx.doi.org/10.1016/j.eswa.2013.07.034.

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45

Yang, Pengyi, Zili Zhang, Bing B. Zhou, and Albert Y. Zomaya. "A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data." Neurocomputing 73, no. 13-15 (August 2010): 2317–31. http://dx.doi.org/10.1016/j.neucom.2010.02.022.

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Huang, Gan, Dingguo Zhang, Jiangjun Meng, and Xiangyang Zhu. "Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model." Neurocomputing 74, no. 6 (February 2011): 1026–34. http://dx.doi.org/10.1016/j.neucom.2010.11.019.

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47

Lo, Shih-Che, and Wei-Jea Chang. "Design of real-time fuzzy bus holding system for the mass rapid transit transfer system." Expert Systems with Applications 39, no. 2 (February 2012): 1718–24. http://dx.doi.org/10.1016/j.eswa.2011.08.111.

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48

Qu, Hongyi, Dewei Li, Ridong Zhang, Shuang-Hua Yang, and Furong Gao. "A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production." Neurocomputing 397 (July 2020): 70–93. http://dx.doi.org/10.1016/j.neucom.2020.02.021.

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49

Maaroof, Omar W., Saad Zaghlul Saeed, and Mehmet İsmet Can Dede. "Partial gravity compensation of a surgical robot." International Journal of Advanced Robotic Systems 18, no. 3 (May 1, 2021): 172988142110154. http://dx.doi.org/10.1177/17298814211015481.

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Surgical robots are safety-critical devices that require multiple domains of safety features. This article focuses on the passive gravity compensation design optimization of a surgical robot. The limits of this optimization are related with the safety features including minimization of the total moving mass/inertia and compactness of the design. The particle swarm optimization method is used as a novel approach for the optimization of a parallel remote-center-of-motion mechanism. A compact design is achieved by partially balancing the mechanism, which also decreases the torque requirements from the actuators.

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Saikin, Diego A., Tomas Baca, Martin Gurtner, and Martin Saska. "Wildfire Fighting by Unmanned Aerial System Exploiting Its Time-Varying Mass." IEEE Robotics and Automation Letters 5, no. 2 (April 2020): 2674–81. http://dx.doi.org/10.1109/lra.2020.2972827.

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