IntuiGrasp is a novel three-fingered dexterous hand that pioneers bio-inspired demonstrations with intuitive priors(BDIP)to bridge the gap between human tactile intuition and robotic execution.Unlike conven-tional pro...IntuiGrasp is a novel three-fingered dexterous hand that pioneers bio-inspired demonstrations with intuitive priors(BDIP)to bridge the gap between human tactile intuition and robotic execution.Unlike conven-tional programming,BDIP leverages human's innate priors(e.g.,“A pack of tissues requires gentle grasps,cups demand firm contact”)by enabling real-time transfer of gesture and force policies during physical demon-stration.When a human demonstrator wears IntuiGrasp,driven rings provide real-time haptic feedback on contact stress and slip,while inte-grated tactile sensors translate these human policies into image data,offering valuable data for imitation learning.In this study,human teachers use IntuiGrasp to demonstrate how to grasp three types of objects:a cup,a crumpled tissue pack,and a thin playing card.IntuiGrasp translates the policies for grasping these objects into image information that describes tactile sensations in real time.展开更多
With the illustration of a specific problem, this paper demonstrates that using Monte Carlo Simulation technology will improve intuitive effect of teaching Probability and Mathematical Statistics course, and save inst...With the illustration of a specific problem, this paper demonstrates that using Monte Carlo Simulation technology will improve intuitive effect of teaching Probability and Mathematical Statistics course, and save instructors' effort as well.And it is estimated that Monte Carlo Simulation technology will be one of the major teaching methods for Probability and Mathematical Statistics course in the future.展开更多
Virtual reality(VR) training technology in the mining industry is a new field of research and utilization.The successful application of VR training system is critical to mine safety and production. Through the statist...Virtual reality(VR) training technology in the mining industry is a new field of research and utilization.The successful application of VR training system is critical to mine safety and production. Through the statistics of the current research and applications of VR training systems in mining industry, all the input/output devices are classified. Based on the classifications of the input/output devices that are used in the VR system, the current VR training systems for the mining industry could be divided into three types: screen-based general type, projector-based customized type, and head-mounted display(HMD)-based intuitive type. By employing a VR headset, a smartphone and a leap motion device, an HMDbased intuitive type VR training system prototype for drilling in underground mines has been developed.Ten trainees tried both the HMD-based intuitive system and the screen-based general control system to compare the experiences and training effects. The results show that the HMD-based system can give a much better user experience and is easy to use. Three of the five components of a VR training system,namely, the user, the tasks, and software and database should be given more attention in future research.With more available technologies of input and output devices, VR engines, and system software, the VR training system will eventually yield much better training results, and will play a more important role in as a training tool for mine safety.展开更多
In this paper, we present our research on building computing machines consciousness about intuitive geometry based on mathematics experiments and statistical inference. The investigation consists of the following five...In this paper, we present our research on building computing machines consciousness about intuitive geometry based on mathematics experiments and statistical inference. The investigation consists of the following five steps. At first, we select a set of geometric configurations and for each configuration we construct a large amount of geometric data as observation data using dynamic geometry programs together with the pseudo-random number generator. Secondly, we refer to the geometric predicates in the algebraic method of machine proof of geometric theorems to construct statistics suitable for measuring the approximate geometric relationships in the observation data. In the third step, we propose a geometric relationship detection method based on the similarity of data distribution, where the search space has been reduced into small batches of data by pre-searching for efficiency, and the hypothetical test of the possible geometric relationships in the search results has be performed. In the fourth step, we explore the integer relation of the line segment lengths in the geometric configuration in addition. At the final step, we do numerical experiments for the pre-selected geometric configurations to verify the effectiveness of our method. The results show that computer equipped with the above procedures can find out the hidden geometric relations from the randomly generated data of related geometric configurations, and in this sense, computing machines can actually attain certain consciousness of intuitive geometry as early civilized humans in ancient Mesopotamia.展开更多
In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with d...In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with digital information. First, this paper exam- ines the existing body of work on tangible user interfaces and discusses their application domains, especially information visualiza- tion. Then it provides a definition of intuitive use and reviews formerly separated ideas on physicality. As interaction has an impact on the overall product experience, we also discuss whether intuitive use influences the users＇ aesthetic judgements of such products.展开更多
Aiming at shortcomings of traditional image retrieval systems, a new image retrieval approach based on color features of image combining intuitive fuzzy theory with genetic algorithm is proposed. Each image is segment...Aiming at shortcomings of traditional image retrieval systems, a new image retrieval approach based on color features of image combining intuitive fuzzy theory with genetic algorithm is proposed. Each image is segmented into a constant number of sub-images in vertical direction. Color features are extracted from every sub-image to get chromosome coding. It is considered that fuzzy membership and intuitive fuzzy hesitancy degree of every pixel＇s color in image are associated to all the color histogram bins. Certain feature, fuzzy feature and intuitive fuzzy feature of colors in an image, are used together to describe the content of image. Efficient combinations of sub-image are selected according to operation of selecting, crossing and variation. Retrieval results are obtained from image matching based on these color feature combinations of sub-images. Tests show that this approach can improve the accuracy of image retrieval in the case of not decreasing the speed of image retrieval. Its mean precision is above 80 %.展开更多
Introduction/Background: No research has been conducted on the relevance of intuitive eating as a promising strategy for sustainable weight management among Latinas. This study translated Tylka and Kroon Van Diest’s ...Introduction/Background: No research has been conducted on the relevance of intuitive eating as a promising strategy for sustainable weight management among Latinas. This study translated Tylka and Kroon Van Diest’s (2013) Intuitive Eating Scale-2 (IES-2) into Spanish and employed an exploratory factor analysis (EFA) to examine evidence of validity. Methods: We recruited Latinas from community venues in South San Diego, California to participate in this cross-sectional study. Inclusion criteria were: at least 18 years of age, monolingual Spanish or bilingual English/Spanish speaker, and self-identified Latina. In total, 150 Latinas completed a structured, face-to-face interview, which included the Spanish IES-2. Data were used in conducting an EFA. Results: Four items were removed for not loading on the initial EFA. Once items were removed, we extracted five factors with Eigenvalues greater than 1, which accounted for almost two-thirds of the variance. Of the four original IES-2 factors, two were retained identically: Reliance on Hunger and Satiety Cues (RHSC) and Body-Food Choice Congruence (B-FCC). The Eating for Physical Rather than Emotional Reasons (EPR) subscale lost one item in the initial EFA, and was not unidimensional, resulting in two separate subscales. Evidence of score reliability was marginal to strong (α = 0.63 - 0.87). Discussion: This study is first to provide evidence of validity and reliability for a Spanish translation of the IES-2. The results suggest that the proposed Spanish IES-2 can be used to study intuitive eating behaviors and attitudes among Latinas. However, further research with larger sample sizes and other diverse populations are suggested.展开更多
In current study,we investigated the psychological mechanism and dynamic neural activity during prosocial decision-making by using behavioral measure and electroencephalogram.Specifically,our aim was to investigate th...In current study,we investigated the psychological mechanism and dynamic neural activity during prosocial decision-making by using behavioral measure and electroencephalogram.Specifically,our aim was to investigate the effect of empathy in promoting prosocial decision.We used the Chinese version of the Interpersonal Reactivity Index scale(C-IRI)and 11 emotional vocabularies to measure participants'trait empathy and state empathy respectively.In experiment 1,we aimed at identifying the neural activity involved in intuitive prosocial behavior using event related potentials(ERPs).The results showed that empathy is an important factor to promote intuitive prosocial choices.The associa tions between trait empathy and intuitive prosocial behavior are complex and multifaceted,prone to shifting according to the urgency of situations.T hese findings suggest that empathy and related emotional reactions has a vital role in motivating helping behavior,and that reflection can undermine this emotional impulse.展开更多
In this article I conduct a short review of the proofs of the area inside a circle. These include intuitive as well as rigorous analytic proofs. This discussion is important not just from mathematical view point but a...In this article I conduct a short review of the proofs of the area inside a circle. These include intuitive as well as rigorous analytic proofs. This discussion is important not just from mathematical view point but also because pedagogically the calculus books still use circular reasoning today to prove the area inside a circle (also that of an ellipse) on this important historical topic, first illustrated by Archimedes. I offer an innovative approach through the introduction of a theorem, which will lead to proving the area inside a circle avoiding circular argumentation.展开更多
For centuries,humans have experimented with flight in the form of large kites,hot-air balloons,gliders and,eventually,airplanes.Personally,I've taken many plane trips,tried hang-gliding and even went skydiving onc...For centuries,humans have experimented with flight in the form of large kites,hot-air balloons,gliders and,eventually,airplanes.Personally,I've taken many plane trips,tried hang-gliding and even went skydiving once.But I've never gotten to glide over the water as effortlessly as I did the day I tried hydrofoiling for the first time.Jenny Wright,co-owner of Epic Paddle Adventures,and Epic guide Sunny Applegate joined me on a sunny Friday afternoon as we learned from the staff of Ski World Orlando.展开更多
Currently,the challenge lies in the traditional intelligent algorithm’s ability to effectively address the e-hailing repositioning issue.Accurately identifying the underlying characteristics in extensive traffic data...Currently,the challenge lies in the traditional intelligent algorithm’s ability to effectively address the e-hailing repositioning issue.Accurately identifying the underlying characteristics in extensive traffic data within a limited timeframe is difficult,ultimately preventing the achievement of the most optimal solution.This paper suggests a hybrid computing architecture involving reinforcement learning and quantum annealing based on intuitive reasoning.Intuitive reasoning aims to enhance performance in scenarios with poor system robustness,complex tasks,and diverse goals.A deep learning model is constructed,trained to extract scene features,and combined with expert knowledge,then transformed into a quantum annealable form.The final strategy is obtained using a D-wave quantum computer with quantum tunneling effect,which helps in finding optimal solutions by jumping out of local suboptimal solutions.Based on 400000 real data,four algorithms are compared:minimum-cost flow,sequential markov decision process,hot-dot strategy,and driver-prefer strategy.The average total revenue increases by about 10%and vehicle utilization by about 15%in various scenarios.In summary,the proposed architecture effectively solves the e-hailing reposition problem,offering new directions for robust artificial intelligence in big data decision problems.展开更多
1 If astronauts want to stay on the Moon for more than a few days,they must find local resources,and water is one of the most crucial ones.Scientists believe there's water on the Moon,but they're unsure of whe...1 If astronauts want to stay on the Moon for more than a few days,they must find local resources,and water is one of the most crucial ones.Scientists believe there's water on the Moon,but they're unsure of where it lies.2 Two probes are on their way to the Moon to solve this mystery.They will be launched on the same SpaceX Falcon 9 rocket from Cape Canaveral.If everything goes as planned,the first probe to reach the Moon will be Athena.Timothy Crain,the chief technology officer of Intuitive Machines,says it will take about 3 to 4 days,depending on the launch time.They'll orbit the Moon for 2 to 3 days to wait for the Sun to reach the landing site,because the lander's solar panels need sunlight to generate power.It only takes about 15 minutes to land softly after the engine is started.展开更多
In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate pho...In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate photo-realistic images according to that input.While classically,works that allow such automatic image content generation have followed a framework of image retrieval and composition,recent advances in deep generative models such as generative adversarial networks(GANs),variational autoencoders(VAEs),and flow-based methods have enabled more powerful and versatile image generation approaches.This paper reviews recent works for image synthesis given intuitive user input,covering advances in input versatility,image generation methodology,benchmark datasets,and evaluation metrics.This motivates new perspectives on input representation and interactivity,cross fertilization between major image generation paradigms,and evaluation and comparison of generation methods.展开更多
In order to solve the problems of road traffic congestion and the increasing parking time caused by the imbalance of parking lot supply and demand,this paper proposes an asymptotically optimal public parking lot locat...In order to solve the problems of road traffic congestion and the increasing parking time caused by the imbalance of parking lot supply and demand,this paper proposes an asymptotically optimal public parking lot location algorithm based on intuitive reasoning to optimize the parking lot location problem.Guided by the idea of intuitive reasoning,we use walking distance as indicator to measure the variability among location data and build a combinatorial optimization model aimed at guiding search decisions in the solution space of complex problems to find optimal solutions.First,Selective Attention Mechanism(SAM)is introduced to reduce the search space by adaptively focusing on the important information in the features.Then,Quantum Annealing(QA)algorithm with quantum tunneling effect is used to jump out of the local extremum in the search space with high probability and further approach the global optimal solution.Experiments on the parking lot location dataset in Luohu District,Shenzhen,show that the proposed method has improved the accuracy and running speed of the solution,and the asymptotic optimality of the algorithm and its effectiveness in solving the public parking lot location problem are verified.展开更多
Robotic-assisted surgical system has introduced a powerful platform through dexterous instrument and hand-eye coordination intuitive control.The knowledge of laparoscopic vision is a crucial piece of information for r...Robotic-assisted surgical system has introduced a powerful platform through dexterous instrument and hand-eye coordination intuitive control.The knowledge of laparoscopic vision is a crucial piece of information for robot-assisted minimally invasive surgery focusing on improved surgical outcomes.Obtaining the transformation with respect to the laparoscope and robot slave arm frames using hand-eye calibration is essential,which is a key component for developing intuitive control algorithm.We proposed a novel two-step modified dual quaternion for hand-eye calibration in this study.The dual quaternion was exploited to solve the hand-eye calibration simultaneously and powered by an iteratively separate solution.The obtained hand-eye calibration result was applied to the intuitive control by using the hand-eye coordination criterion.Promising simulations and experimental studies were conducted to evaluate the proposed method on our surgical robot system.We extensively compared the proposed method with state-of-the-art methods.Results demonstrate this method can improve the calibration accuracy.The effectiveness of the intuitive control algorithm was quantitatively evaluated,and an improved hand-eye calibration method was developed.The relationship between laparoscope and robot kinematics can be established for intuitive control.展开更多
Head-up display （HUD）, a primary cockpit display, helps in optimizing a pilot＇s attention towards aircraft and outside events. Slight mismatch in the balance may cause missed events; this phenomenon is called atten...Head-up display （HUD）, a primary cockpit display, helps in optimizing a pilot＇s attention towards aircraft and outside events. Slight mismatch in the balance may cause missed events; this phenomenon is called attention tunneling and affects the situational awareness of the pilot. This work reports an intuitive approach to detect attention tunneling while use of HUD in aircrafts. Texture analysis of a composite HUD camera video provided three distinguishing parameters, viz., contrast, correlation, and homogeneity. These three texture parameters are used as inputs for a fuzzy inference-based assistive detection system which could be used for distinguishing tunneled and nontunneled HUD operation.展开更多
文摘IntuiGrasp is a novel three-fingered dexterous hand that pioneers bio-inspired demonstrations with intuitive priors(BDIP)to bridge the gap between human tactile intuition and robotic execution.Unlike conven-tional programming,BDIP leverages human's innate priors(e.g.,“A pack of tissues requires gentle grasps,cups demand firm contact”)by enabling real-time transfer of gesture and force policies during physical demon-stration.When a human demonstrator wears IntuiGrasp,driven rings provide real-time haptic feedback on contact stress and slip,while inte-grated tactile sensors translate these human policies into image data,offering valuable data for imitation learning.In this study,human teachers use IntuiGrasp to demonstrate how to grasp three types of objects:a cup,a crumpled tissue pack,and a thin playing card.IntuiGrasp translates the policies for grasping these objects into image information that describes tactile sensations in real time.
文摘With the illustration of a specific problem, this paper demonstrates that using Monte Carlo Simulation technology will improve intuitive effect of teaching Probability and Mathematical Statistics course, and save instructors' effort as well.And it is estimated that Monte Carlo Simulation technology will be one of the major teaching methods for Probability and Mathematical Statistics course in the future.
基金funded by the ‘‘twelfth five” National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2015BAK10B00)
文摘Virtual reality(VR) training technology in the mining industry is a new field of research and utilization.The successful application of VR training system is critical to mine safety and production. Through the statistics of the current research and applications of VR training systems in mining industry, all the input/output devices are classified. Based on the classifications of the input/output devices that are used in the VR system, the current VR training systems for the mining industry could be divided into three types: screen-based general type, projector-based customized type, and head-mounted display(HMD)-based intuitive type. By employing a VR headset, a smartphone and a leap motion device, an HMDbased intuitive type VR training system prototype for drilling in underground mines has been developed.Ten trainees tried both the HMD-based intuitive system and the screen-based general control system to compare the experiences and training effects. The results show that the HMD-based system can give a much better user experience and is easy to use. Three of the five components of a VR training system,namely, the user, the tasks, and software and database should be given more attention in future research.With more available technologies of input and output devices, VR engines, and system software, the VR training system will eventually yield much better training results, and will play a more important role in as a training tool for mine safety.
文摘In this paper, we present our research on building computing machines consciousness about intuitive geometry based on mathematics experiments and statistical inference. The investigation consists of the following five steps. At first, we select a set of geometric configurations and for each configuration we construct a large amount of geometric data as observation data using dynamic geometry programs together with the pseudo-random number generator. Secondly, we refer to the geometric predicates in the algebraic method of machine proof of geometric theorems to construct statistics suitable for measuring the approximate geometric relationships in the observation data. In the third step, we propose a geometric relationship detection method based on the similarity of data distribution, where the search space has been reduced into small batches of data by pre-searching for efficiency, and the hypothetical test of the possible geometric relationships in the search results has be performed. In the fourth step, we explore the integer relation of the line segment lengths in the geometric configuration in addition. At the final step, we do numerical experiments for the pre-selected geometric configurations to verify the effectiveness of our method. The results show that computer equipped with the above procedures can find out the hidden geometric relations from the randomly generated data of related geometric configurations, and in this sense, computing machines can actually attain certain consciousness of intuitive geometry as early civilized humans in ancient Mesopotamia.
文摘In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with digital information. First, this paper exam- ines the existing body of work on tangible user interfaces and discusses their application domains, especially information visualiza- tion. Then it provides a definition of intuitive use and reviews formerly separated ideas on physicality. As interaction has an impact on the overall product experience, we also discuss whether intuitive use influences the users＇ aesthetic judgements of such products.
基金Sponsored by the Ministerial Level Foundation(20061823)
文摘Aiming at shortcomings of traditional image retrieval systems, a new image retrieval approach based on color features of image combining intuitive fuzzy theory with genetic algorithm is proposed. Each image is segmented into a constant number of sub-images in vertical direction. Color features are extracted from every sub-image to get chromosome coding. It is considered that fuzzy membership and intuitive fuzzy hesitancy degree of every pixel＇s color in image are associated to all the color histogram bins. Certain feature, fuzzy feature and intuitive fuzzy feature of colors in an image, are used together to describe the content of image. Efficient combinations of sub-image are selected according to operation of selecting, crossing and variation. Retrieval results are obtained from image matching based on these color feature combinations of sub-images. Tests show that this approach can improve the accuracy of image retrieval in the case of not decreasing the speed of image retrieval. Its mean precision is above 80 %.
文摘Introduction/Background: No research has been conducted on the relevance of intuitive eating as a promising strategy for sustainable weight management among Latinas. This study translated Tylka and Kroon Van Diest’s (2013) Intuitive Eating Scale-2 (IES-2) into Spanish and employed an exploratory factor analysis (EFA) to examine evidence of validity. Methods: We recruited Latinas from community venues in South San Diego, California to participate in this cross-sectional study. Inclusion criteria were: at least 18 years of age, monolingual Spanish or bilingual English/Spanish speaker, and self-identified Latina. In total, 150 Latinas completed a structured, face-to-face interview, which included the Spanish IES-2. Data were used in conducting an EFA. Results: Four items were removed for not loading on the initial EFA. Once items were removed, we extracted five factors with Eigenvalues greater than 1, which accounted for almost two-thirds of the variance. Of the four original IES-2 factors, two were retained identically: Reliance on Hunger and Satiety Cues (RHSC) and Body-Food Choice Congruence (B-FCC). The Eating for Physical Rather than Emotional Reasons (EPR) subscale lost one item in the initial EFA, and was not unidimensional, resulting in two separate subscales. Evidence of score reliability was marginal to strong (α = 0.63 - 0.87). Discussion: This study is first to provide evidence of validity and reliability for a Spanish translation of the IES-2. The results suggest that the proposed Spanish IES-2 can be used to study intuitive eating behaviors and attitudes among Latinas. However, further research with larger sample sizes and other diverse populations are suggested.
文摘In current study,we investigated the psychological mechanism and dynamic neural activity during prosocial decision-making by using behavioral measure and electroencephalogram.Specifically,our aim was to investigate the effect of empathy in promoting prosocial decision.We used the Chinese version of the Interpersonal Reactivity Index scale(C-IRI)and 11 emotional vocabularies to measure participants'trait empathy and state empathy respectively.In experiment 1,we aimed at identifying the neural activity involved in intuitive prosocial behavior using event related potentials(ERPs).The results showed that empathy is an important factor to promote intuitive prosocial choices.The associa tions between trait empathy and intuitive prosocial behavior are complex and multifaceted,prone to shifting according to the urgency of situations.T hese findings suggest that empathy and related emotional reactions has a vital role in motivating helping behavior,and that reflection can undermine this emotional impulse.
文摘In this article I conduct a short review of the proofs of the area inside a circle. These include intuitive as well as rigorous analytic proofs. This discussion is important not just from mathematical view point but also because pedagogically the calculus books still use circular reasoning today to prove the area inside a circle (also that of an ellipse) on this important historical topic, first illustrated by Archimedes. I offer an innovative approach through the introduction of a theorem, which will lead to proving the area inside a circle avoiding circular argumentation.
文摘For centuries,humans have experimented with flight in the form of large kites,hot-air balloons,gliders and,eventually,airplanes.Personally,I've taken many plane trips,tried hang-gliding and even went skydiving once.But I've never gotten to glide over the water as effortlessly as I did the day I tried hydrofoiling for the first time.Jenny Wright,co-owner of Epic Paddle Adventures,and Epic guide Sunny Applegate joined me on a sunny Friday afternoon as we learned from the staff of Ski World Orlando.
基金sponsored by the Chinese Association for Artificial Intelligence-Huawei MindSpore Open Fund.
文摘Currently,the challenge lies in the traditional intelligent algorithm’s ability to effectively address the e-hailing repositioning issue.Accurately identifying the underlying characteristics in extensive traffic data within a limited timeframe is difficult,ultimately preventing the achievement of the most optimal solution.This paper suggests a hybrid computing architecture involving reinforcement learning and quantum annealing based on intuitive reasoning.Intuitive reasoning aims to enhance performance in scenarios with poor system robustness,complex tasks,and diverse goals.A deep learning model is constructed,trained to extract scene features,and combined with expert knowledge,then transformed into a quantum annealable form.The final strategy is obtained using a D-wave quantum computer with quantum tunneling effect,which helps in finding optimal solutions by jumping out of local suboptimal solutions.Based on 400000 real data,four algorithms are compared:minimum-cost flow,sequential markov decision process,hot-dot strategy,and driver-prefer strategy.The average total revenue increases by about 10%and vehicle utilization by about 15%in various scenarios.In summary,the proposed architecture effectively solves the e-hailing reposition problem,offering new directions for robust artificial intelligence in big data decision problems.
文摘1 If astronauts want to stay on the Moon for more than a few days,they must find local resources,and water is one of the most crucial ones.Scientists believe there's water on the Moon,but they're unsure of where it lies.2 Two probes are on their way to the Moon to solve this mystery.They will be launched on the same SpaceX Falcon 9 rocket from Cape Canaveral.If everything goes as planned,the first probe to reach the Moon will be Athena.Timothy Crain,the chief technology officer of Intuitive Machines,says it will take about 3 to 4 days,depending on the launch time.They'll orbit the Moon for 2 to 3 days to wait for the Sun to reach the landing site,because the lander's solar panels need sunlight to generate power.It only takes about 15 minutes to land softly after the engine is started.
基金supported by the National Natural Science Foundation of China(Project Nos.61521002 and 61772298)。
文摘In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate photo-realistic images according to that input.While classically,works that allow such automatic image content generation have followed a framework of image retrieval and composition,recent advances in deep generative models such as generative adversarial networks(GANs),variational autoencoders(VAEs),and flow-based methods have enabled more powerful and versatile image generation approaches.This paper reviews recent works for image synthesis given intuitive user input,covering advances in input versatility,image generation methodology,benchmark datasets,and evaluation metrics.This motivates new perspectives on input representation and interactivity,cross fertilization between major image generation paradigms,and evaluation and comparison of generation methods.
基金supported by the Special Zone Project of National Defense Innovation and the Science and Technology Program of Education Department of Jiangxi Province(No.GJJ171503).
文摘In order to solve the problems of road traffic congestion and the increasing parking time caused by the imbalance of parking lot supply and demand,this paper proposes an asymptotically optimal public parking lot location algorithm based on intuitive reasoning to optimize the parking lot location problem.Guided by the idea of intuitive reasoning,we use walking distance as indicator to measure the variability among location data and build a combinatorial optimization model aimed at guiding search decisions in the solution space of complex problems to find optimal solutions.First,Selective Attention Mechanism(SAM)is introduced to reduce the search space by adaptively focusing on the important information in the features.Then,Quantum Annealing(QA)algorithm with quantum tunneling effect is used to jump out of the local extremum in the search space with high probability and further approach the global optimal solution.Experiments on the parking lot location dataset in Luohu District,Shenzhen,show that the proposed method has improved the accuracy and running speed of the solution,and the asymptotic optimality of the algorithm and its effectiveness in solving the public parking lot location problem are verified.
基金This study was supported by the State Key Laboratory of Robotics and Systems,China(Grant No.SKLRS202009B).
文摘Robotic-assisted surgical system has introduced a powerful platform through dexterous instrument and hand-eye coordination intuitive control.The knowledge of laparoscopic vision is a crucial piece of information for robot-assisted minimally invasive surgery focusing on improved surgical outcomes.Obtaining the transformation with respect to the laparoscope and robot slave arm frames using hand-eye calibration is essential,which is a key component for developing intuitive control algorithm.We proposed a novel two-step modified dual quaternion for hand-eye calibration in this study.The dual quaternion was exploited to solve the hand-eye calibration simultaneously and powered by an iteratively separate solution.The obtained hand-eye calibration result was applied to the intuitive control by using the hand-eye coordination criterion.Promising simulations and experimental studies were conducted to evaluate the proposed method on our surgical robot system.We extensively compared the proposed method with state-of-the-art methods.Results demonstrate this method can improve the calibration accuracy.The effectiveness of the intuitive control algorithm was quantitatively evaluated,and an improved hand-eye calibration method was developed.The relationship between laparoscope and robot kinematics can be established for intuitive control.
基金supported by the Council of Scientific and Industrial Research (CSIR)–Central Scientific Instruments Organization (CSIO), Chandigarh, India
文摘Head-up display （HUD）, a primary cockpit display, helps in optimizing a pilot＇s attention towards aircraft and outside events. Slight mismatch in the balance may cause missed events; this phenomenon is called attention tunneling and affects the situational awareness of the pilot. This work reports an intuitive approach to detect attention tunneling while use of HUD in aircrafts. Texture analysis of a composite HUD camera video provided three distinguishing parameters, viz., contrast, correlation, and homogeneity. These three texture parameters are used as inputs for a fuzzy inference-based assistive detection system which could be used for distinguishing tunneled and nontunneled HUD operation.
