In recent years, the number of traffic accidents caused by elderly drivers has increased in Japan. However, a car is an important mode of transportation for the elderly. Therefore, to ensure safe driving, a system tha...In recent years, the number of traffic accidents caused by elderly drivers has increased in Japan. However, a car is an important mode of transportation for the elderly. Therefore, to ensure safe driving, a system that can assist elderly drivers is required. In this study, we propose a driver-agent system that provides support to elderly drivers during and after driving and encourages them to improve their driving. This paper describes the prototype system based on the analysis of the teaching records of a human instructor, and the subjective evaluation of driving support to elderly and non-elderly driver from three different agent forms, a voice, visual, and robot. The result revealed that the robot form is more noticeable, familiar, and acceptable to the elderly and non-elderly than other forms.展开更多
Japan has become a more aged society and there are more drivers, 65 years of age and above. Cars represent an important mode of transportation for the elderly;however, in recent years, the number of traffic accidents ...Japan has become a more aged society and there are more drivers, 65 years of age and above. Cars represent an important mode of transportation for the elderly;however, in recent years, the number of traffic accidents caused by elderly drivers has been on the rise, and this has become a social issue. Thus, for the elderly drivers to encourage them to improve their driving, we study a driver agent system which consists of smartphone, communication robot and cloud service and provides the driving support by attention awakening and the feedback support based on driving behavior evaluation. In this paper, we presented a summary of the proposed agent and reported on a set of preliminary experiments using our agent in an actual car environment. From the analysis of subjective evaluations and fixation points during driving, the results revealed the possibility that the drivers accept the agent and supports from the agent during driving and that the agent in an actual car environment did not distract the driver.展开更多
Purpose: Although exercise and sleep duration habits are associated with cognitive function, their beneficial effects on cognitive function remain unclear. We aimed to examine the effect of sleep duration and daily ph...Purpose: Although exercise and sleep duration habits are associated with cognitive function, their beneficial effects on cognitive function remain unclear. We aimed to examine the effect of sleep duration and daily physical activity on cognitive function, elucidating the neural mechanisms using near-infrared spectroscopy(NIRS).Methods: A total of 23 healthy young adults(age 22.0 ± 2.2 years) participated in this study. Exercise amount was assessed using a uniaxial accelerometer. We evaluated total sleep time(TST) and sleep efficiency by actigraphy. Cognitive function was tested using the N-back task, the Wisconsin Card Sorting Test(WCST), and the Continuous Performance Test—Identical Pairs(CPT-IP), and the cortical oxygenated hemoglobin levels during a word fluency task were measured with NIRS.Results: Exercise amount was significantly correlated with reaction time on 0- and 1-back tasks(r = —0.602, p = 0.002; r = —0.446, p = 0.033,respectively), whereas TST was significantly correlated with % corrects on the 2-back task(r = 0.486, p = 0.019). Multiple regression analysis,including exercise amount, TST, and sleep efficiency, revealed that exercise amount was the most significant factor for reaction time on 0- and 1-back tasks(b = —0.634, p = 0.002; b = —0.454, p = 0.031, respectively), and TST was the most significant factor for % corrects on the 2-back task(b = 0.542, p = 0.014). The parameter measured by WCST and CPT-IP was not significantly correlated with TST or exercise amount. Exercise amount, but not TST, was significantly correlated with the mean area under the NIRS curve in the prefrontal area(r = 0.492, p = 0.017).Conclusion: Exercise amount and TST had differential effects on working memory and cortical activation in the prefrontal area. Daily physical activity and appropriate sleep duration may play an important role in working memory.展开更多
The identification of activity locations in con- tinuous GPS trajectories is an essential preliminary step in obtaining person trip data and for activity-based trans- portation demand forecasting. In this research, a ...The identification of activity locations in con- tinuous GPS trajectories is an essential preliminary step in obtaining person trip data and for activity-based trans- portation demand forecasting. In this research, a two-step methodology for identifying activity stop locations is pro- posed. In the first step, an improved density-based spatial clustering of applications with noise （DBSCAN） algorithm identifies stop points and moving points; then in the second step, the support vector machines （SVMs） method distin- guishes activity stops from non-activity stops among the identified stop points. A time sequence constraint and a direction change constraint are applied as improvements to DBSCAN （yielding an improved algorithm known as C-DBSCAN）. Then three major features are extracted for use in the SVMs method： stop duration, mean distance to the centroid of a cluster of points at a stop location, and the shorter of distances from current location to home and to the workplace. The proposed methodology was tested using GPS data collected from mobile phones in the Nagoya area of Japan. The C-DBSCAN algorithm achieves an accuracy of 90 % in identifying stop points in the first step, while the SVMs method is 96 % accurate in distin- guishing the locations of activity stops from non-activity stops in the second step. Compared to other variants of DBSCAN used to identify activity locations from GPS trajectories, this two-step method is generally superior.展开更多
Traffic accidents are mainly caused by human error. In an aging society, the number of accidents attributed to elderly drivers is increasing. One noteworthy reason for this is operation misapplication. Studies have be...Traffic accidents are mainly caused by human error. In an aging society, the number of accidents attributed to elderly drivers is increasing. One noteworthy reason for this is operation misapplication. Studies have been conducted on the use of human</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">machine interfaces (HMIs) to inform the driver when he or she makes an error and encourage appropriate actions. However, the driver state during the erroneous action has not been investigated. The pur</span><span style="font-family:Verdana;">pose of this study is to clarify the difference in the driver’s state between</span><span style="font-family:Verdana;"> normal and surprising situations in a misapplication scenario, utilizing multimodal information such as biometric information and driver operation. We found significant changes in the interaction of components between the nor</span><span style="font-family:Verdana;">mal and the surprised driving state. The results could provide basic know</span><span style="font-family:Verdana;">ledge for the future development of a driver assistance system and driver state estimation using data acquired from multiple sensors in the vehicle.展开更多
This paper examines older driver＇s automotive trip （abbreviation： trip） characteristics which include trip frequency, trip length, destination distribution, and non- home-based （NHB） trips. A two-month experimen...This paper examines older driver＇s automotive trip （abbreviation： trip） characteristics which include trip frequency, trip length, destination distribution, and non- home-based （NHB） trips. A two-month experiment of 108 participants was carried out to collect GPS tracking data in Aichi Prefecture, Japan. To identify the effect of living area, a comparative analysis between older drivers and others is conducted in densely inhabited district （DID, i.e., urban） and other areas （non-DID, i.e., suburban, rural, etc）, separately. The present study found that there was no sig- nificant difference between the trip characteristics of older drivers and others who were living in DID. Thus, we suggest that the education of safety driving and the rec- ommendation of public transportation should be given to DID-living older drivers. However, the results of non-DID reflected that older drivers＇ trip frequency, trip length, destination, and NHB trips rate were shorter and lower than others＇. This implies that electric vehicles may be suit- able for promotion among older drivers in suburban and rural area. Furthermore, the regression analysis confirmed that ＂older driver＂ was a significant independent variable on trip frequency, trip length, and NHB trips, and there were interaction effects between ＂older driver＂ and ＂living areas＂ on all trip characteristics.展开更多
Cell rotation is one of the most important techniques for cell manipulation in modern bioscience,as it not only permits cell observation from any arbitrary angle,but also simplifies the procedures for analyzing the me...Cell rotation is one of the most important techniques for cell manipulation in modern bioscience,as it not only permits cell observation from any arbitrary angle,but also simplifies the procedures for analyzing the mechanical properties of cells,characterizing cell physiology,and performing microsurgery.Numerous approaches have been reported for rotating cells in a wide range of academic and industrial applications.Among them,the most popular are micro-robot-based direct contact manipulation and field-based non-contact methods(e.g.,optical,magnetic,electric,acoustic,and hydrodynamic methods).This review first summarizes the fundamental mechanisms,merits,and demerits of these six main groups of approaches,and then discusses their differences and limitations in detail.We aim to bridge the gap between each method and illustrate the development progress,current advances,and prospects in the field of cell rotation.展开更多
With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vesti...With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vestibulo-ocular reflex (VOR) model. By changing the initial inputs to the GA and fixing two parameters pertaining to the horizontal direction, we achieved improved parameter identification with a lower mean-square error. The influence of driver distraction on eye movement with changes in gaze direction was evaluated from the difference between the predicted and observed VOR in the vertical axis. When a driver was given an additional mental workload, the mean-square error between the measured and simulated values was bigger than that in the absence of the mental workload. This confirmed the relationship between driver distraction and eye movement in the vertical direction. We hope that this method can be applied in evaluating driver distraction.展开更多
The standard ordered response model (SORM) is a common disaggregate approach with ordered outcomes in which the effects of various exogenous attributes are assumed constant across ordinal choices. In this study, an in...The standard ordered response model (SORM) is a common disaggregate approach with ordered outcomes in which the effects of various exogenous attributes are assumed constant across ordinal choices. In this study, an innovative latent class based generalized ordered response model (LC-GORM) is formulated and used to assess the effects of various factors on respondents’ choice behavior with respect to congestion charge proposal for Jakarta, Indonesia. The proposed model probabilistically assigns respondents into selfish and altruistic class memberships (latently) based on their knowledge of the proposed scheme and their specific attributes. Aiming to capture observable preference heterogeneity across ordinal choices and allow the thresholds to be varied across observations, we parameterize the thresholds as a linear function of the exogenous variables for each ordinal preference. Using stated preference data collected in Jakarta in December 2013, we incorporate the influence of a comprehensive set of explanatory variables into four categories: charges, latent variables related to respondent’s psychological motivations, mobility attributes and socio-demographic characteristics. Empirical results obviously verify the existence of preference heterogeneity across outcomes. The findings confirm that the altruistic class are more sensitive with respect to acceptance of the scheme, while the selfish class are more sensitive with respect to rejection. The key factors influencing public acceptability include the charge level and respondent variables such as car dependency, awareness of the problem of cars in society, frequency of visits to the city center and frequency of private mode usage.展开更多
In this study, we examine the impacts that EVs （electric vehicles） have on vehicle usage patterns and environmental improvements, using our integrated travel demand forecasting model, which can simulate an individua...In this study, we examine the impacts that EVs （electric vehicles） have on vehicle usage patterns and environmental improvements, using our integrated travel demand forecasting model, which can simulate an individual activity-travel behavior in each time period, as well as consider an induced demand by decreasing travel cost. In order to examine the effects that charging/discharging have on the demand in electricity, we analyze scenarios based on the simulation results of the EVs＇ parking location, parking duration and the battery state of charge. From the simulation, result under the ownership rate of EVs in the Nagoya metropolitan area in 2020 is about 6%, which turns out that the total CO2 emissions have decreased by 4% although the situation of urban transport is not changed. After calculating the electricity demand in each zone using architectural area and basic units of hourly power consumption, we evaluate the effect to decrease the peak load by V2G （vehicle-to-grid）. According to the results, if EV drivers charge at home during the night and discharge at work during the day, the electricity demand in Nagoya city increases by approximately 1%, although changes in each individual zone range from -7% to ＋8%, depending on its characteristics.展开更多
Controllable synthesis of one-dimensional nanowires(NWs)is crucial for their large-scale applications,but it usually requires complicated catalyst designs with multiple compositions and careful tuning of synthesis par...Controllable synthesis of one-dimensional nanowires(NWs)is crucial for their large-scale applications,but it usually requires complicated catalyst designs with multiple compositions and careful tuning of synthesis parameters.In this study,we performed a systematic investigation into the impact of the shape of Au particles on the geometry and composition of the obtained NWs.We discovered that octahedral,dodecahedral,and cubic Au particles selectively catalyze the growth of Ga,GaAs,and Ga/GaAs heterojunction NWs,respectively.The mechanism stems from the difference in the solubility of Ga in Au catalysts with distinct shapes(i.e.,curvatures)due to the Gibbs-Thomson(G-T)effect:Au octahedrons(7.42 nm),featuring smaller curvature radii,enhance the solubility of Ga precursors,enabling efficient diffusion and faster growth of Ga NWs;Au dodecahedrons(11.22 nm)with larger curvature radii exhibit moderate Ga solubility,favoring the growth of GaAs NWs;Au cubes(10.51 nm)with intermediate Ga solubility,yield Ga/GaAs heterojunction NWs.Finally,we fabricated NW field effect transistors(FETs)and revealed that the Ga NWs exhibited promising electrical characteristics with a resistivity of 2.54×10^(−4)Ω·m,and GaAs NWs showed p-type characteristics.All these results illustrate the promising potential for tuning the geometry and composition of NWs by a single parameter,i.e.,merely changing the shape of a single Au particle.展开更多
Many traffic accidents occur in parking lots.One of the serious safety risks is vehicle-pedestrian conflict.Moreover,with the increasing development of automatic driving and parking technology,parking safety has recei...Many traffic accidents occur in parking lots.One of the serious safety risks is vehicle-pedestrian conflict.Moreover,with the increasing development of automatic driving and parking technology,parking safety has received significant attention from vehicle safety analysts.However,pedestrian protection in parking lots still faces many challenges.For example,the physical structure of a parking lot may be complex,and dead corners would occur when the vehicle density is high.These lead to pedestrians’sudden appearance in the vehicle’s path from an unexpected position,resulting in collision accidents in the parking lot.We advocate that besides vehicular sensing data,high-precision digital map of the parking lot,pedestrians’smart device’s sensing data,and attribute information of pedestrians can be used to detect the position of pedestrians in the parking lot.However,this subject has not been studied and explored in existing studies.Tofill this void,this paper proposes a pedestrian tracking framework integrating multiple information sources to provide pedestrian position and status information for vehicles and protect pedestrians in parking spaces.We also evaluate the proposed method through real-world experiments.The experimental results show that the proposed framework has its advantage in pedestrian attribute information extraction and positioning accuracy.It can also be used for pedestrian tracking in parking spaces.展开更多
Plants are exposed to a variety of environmental stress,and starvation of inorganic phosphorus can be a major constraint in crop production.In plants,in response to phosphate deficiency in soil,miR399,a type of microR...Plants are exposed to a variety of environmental stress,and starvation of inorganic phosphorus can be a major constraint in crop production.In plants,in response to phosphate deficiency in soil,miR399,a type of microRNA(miRNA),is up-regulated.By detecting miR399,the early diagnosis of phosphorus deficiency stress in plants can be accomplished.However,general miRNA detection methods require complicated experimental manipulations.Therefore,simple and rapid miRNA detection methods are required for early plant nutritional diagnosis.展开更多
Enterprise Architecture(EA)has evolved based on the practice of information systems architecture design and implementation.EA is a rigorous description of a structure,and the objectives of EA modeling not only include...Enterprise Architecture(EA)has evolved based on the practice of information systems architecture design and implementation.EA is a rigorous description of a structure,and the objectives of EA modeling not only include clarifying corporate strategies,visualizing business processes,and modeling information systems to manage resources but also include improving organizational structures,adjusting information strategies,and creating new business value.Therefore,EA models cover a wide scope that includes both IT and business architectures.Typically,EA modeling is the initial and most important analysis step for researchers,architects,and developers.ArchiMate is the dominant modeling language for EA and it has been shown to improve visualization of EA models.However,few studies have systematically introduced general modeling methods using ArchiMate to meet a broad range of needs and few studies have empirically evaluated the modeling method using ArchiMate.This paper introduces an EA visualization approach to fill that gap and conducts a case study on a wilderness weather station system.Strict controlled experiments are conducted to verify the effectiveness and feasibility of this modeling method,and the experimental results show that this modeling procedure is not only feasible,but also can effectively transform the system metamodel and restore the EA scene.展开更多
Recently, traffic accidents caused by elderly drivers have been increasing. It is thought that the reasons of accidents are functions such as decline of eyesight, cognition and physical strength caused by aging. In or...Recently, traffic accidents caused by elderly drivers have been increasing. It is thought that the reasons of accidents are functions such as decline of eyesight, cognition and physical strength caused by aging. In order to assist safe driving for elderly drivers, it is necessary to sufficiently understand any possible relationship of various senior drivers’ cognition, physical strength and driving behavior. In this paper relationship of elderly driver’s cognition, physical strength and driving behaviors were analyzed using the result of driving instructions on urban road by driving school instructors.展开更多
In this study,older male drivers’stress while driving in straight links and while proceeding through intersections is investigated.Controller area network(CAN),self-reported stress(SRS),and physiological data was col...In this study,older male drivers’stress while driving in straight links and while proceeding through intersections is investigated.Controller area network(CAN),self-reported stress(SRS),and physiological data was collected in 22.4 km-long experimental trips among older and young drivers.First,this study finds that older drivers reported much less stress than young drivers.However,principal components(PCs)of the physiological data demonstrate that older drivers might underrate their driving stress in entire trips,except regarding turning at intersections.Moreover,following other vehicles reduced older drivers’driving stress because preceding vehicles might help them control driving speed,detect the path,and prevent road risks.In contrast,the similar condition increased the stress level of young drivers.The results of random effects regression models confirm that age was the significant impact factor on SRS and physiological data.While examining whether the stress at intersections could affect their driving behaviors,significant difference between two age groups was found neither in turning time nor in the driving speed.This study also confirms that physical and mental changes with aging can negatively affect older adults’behaviors.Considering the relationships among stress,speed,and accidents,we suggest the provision of more driver assistance systems,training,and education and improving intersection design for older drivers.展开更多
The charge interaction and corresponding doping effect between single-walled carbonnanotubes (SWNTs) and various fullerene derivatives, namely, C60, phenyl-C61-butyricacid methyl ester (PC61BM), methano-indenefulleren...The charge interaction and corresponding doping effect between single-walled carbonnanotubes (SWNTs) and various fullerene derivatives, namely, C60, phenyl-C61-butyricacid methyl ester (PC61BM), methano-indenefullerene (MIF), 10,100,40,400-tetrahydrodi[1,4]methanonaphthaleno[5,6]fullerene (ICBA), 1,4-bis(dimethylphenylsilylmethyl)[60]fullerene (SIMEF-1), and dimethyl(orthoanisyl) silylmethyl(dimethylphenylsilylmethyl)[60]fullerene (SIMEF-2), are investigated. A variety of analytical techniques,including field-effect transistors (FETs) made of horizontally aligned arrays ofSWNTs, is used as a means of investigation. Data from different measurements haveto be used to obtain a concrete evaluation for the fullerene-applied SWNTs. The datacollectively points toward the conclusion that fullerenes with high molecular orbitalenergy levels, namely, MIF, SIMEF-1, SIMEF-2, and PC61BM, induce p-type doping,while fullerenes with low molecular orbital energy levels, namely, ICBA and C60,induce n-type doping on the carbon nanotubes. Nevertheless, the SWNTs retained ptypecharacteristics because n-doping induced by the fullerenes are weak compared tothe p-doping of the water and oxygen on carbon nanotubes. This means that fullerenederivatives have the ability to fine-tune the energy levels of carbon nanotubes, whichcan play a crucial role in carbon nanotube-based electronics, such as solar cells, lightemittingdevices, and FETs.展开更多
Bio-integrated microrobots(BIMs),which are fabricated with biofriendly materials,biological units(e.g.cells or biomolecules),or cell-material hybrids have emerged as a promising technology for minimally invasive biome...Bio-integrated microrobots(BIMs),which are fabricated with biofriendly materials,biological units(e.g.cells or biomolecules),or cell-material hybrids have emerged as a promising technology for minimally invasive biomedicine.The diminutive size and flexible structures enable BIMs to navigate within narrow,deep,and challenging-to-reach in vivo regions,performing biopsy,diagnostic,drug delivery,and therapeutic functions with minimal invasiveness.However,the clinical deployment of BIMs is a highly orchestrated task that requires consideration of material properties,structural design,locomotion,observation,therapeutic outcomes,and side effects on cells and tissues,etc.In this review,we review and discuss the latest advances in the biointegrated microrobot domain,evaluating various methods associated with materials,fabrication,actuation,and the implementation of biomedical functions in BIMs.By comparing the advantages and shortcomings of these techniques,this review highlights the challenges and future trends in highly intelligent bio-integrated microrobots,which have huge potential in minimally invasive biomedicine.展开更多
With the high older-related accident ratio and increasing population aging problem, understanding older drivers＇ driving behaviors has become more and more important for building and improving transportation system. ...With the high older-related accident ratio and increasing population aging problem, understanding older drivers＇ driving behaviors has become more and more important for building and improving transportation system. This paper examines older driver＇s driving behavior which includes road selection, left/right turn and driving speed. A two-month experiment of 108 participants was carried out in Aichi Prefecture, Japan. Since apparently contradictory statements were often drawn in survey-based or simulators-based studies, this study collected not only drivers＇ basic information but also GPS data. Analysis of road selection demonstrates that older drivers are reluctant to drive on expressway not only in short trips but also in long trips. The present study did not find significant difference be- tween older drivers and others while turning at the intersections. To investigate the impact factors on driving speed, a random-effects regression model is constructed with explan- atory variables including age, gender, road types and the interaction terms between age and road types. Compared with other variables, it fails to find that age （60 years old or over） has significant impact on driving speed. Moreover, the results reflect that older drivers drive even faster than others at particular road types： national road and ordinary municipal road. The results in this study are expected to help improve transportation planning and develop driving assistance systems for older drivers.展开更多
文摘In recent years, the number of traffic accidents caused by elderly drivers has increased in Japan. However, a car is an important mode of transportation for the elderly. Therefore, to ensure safe driving, a system that can assist elderly drivers is required. In this study, we propose a driver-agent system that provides support to elderly drivers during and after driving and encourages them to improve their driving. This paper describes the prototype system based on the analysis of the teaching records of a human instructor, and the subjective evaluation of driving support to elderly and non-elderly driver from three different agent forms, a voice, visual, and robot. The result revealed that the robot form is more noticeable, familiar, and acceptable to the elderly and non-elderly than other forms.
文摘Japan has become a more aged society and there are more drivers, 65 years of age and above. Cars represent an important mode of transportation for the elderly;however, in recent years, the number of traffic accidents caused by elderly drivers has been on the rise, and this has become a social issue. Thus, for the elderly drivers to encourage them to improve their driving, we study a driver agent system which consists of smartphone, communication robot and cloud service and provides the driving support by attention awakening and the feedback support based on driving behavior evaluation. In this paper, we presented a summary of the proposed agent and reported on a set of preliminary experiments using our agent in an actual car environment. From the analysis of subjective evaluations and fixation points during driving, the results revealed the possibility that the drivers accept the agent and supports from the agent during driving and that the agent in an actual car environment did not distract the driver.
基金supported by the Japan Society for the Promotion of Science, KAKENHI (25282210,15H05935)by Grants-in-Aid from the Comprehensive Research on Disability Health and Welfare+3 种基金the Ministry of Health,Labor and Welfare of Japanthe Academic Frontier Project for Private UniversitiesComparative Cognitive Science InstitutesMeijo University
文摘Purpose: Although exercise and sleep duration habits are associated with cognitive function, their beneficial effects on cognitive function remain unclear. We aimed to examine the effect of sleep duration and daily physical activity on cognitive function, elucidating the neural mechanisms using near-infrared spectroscopy(NIRS).Methods: A total of 23 healthy young adults(age 22.0 ± 2.2 years) participated in this study. Exercise amount was assessed using a uniaxial accelerometer. We evaluated total sleep time(TST) and sleep efficiency by actigraphy. Cognitive function was tested using the N-back task, the Wisconsin Card Sorting Test(WCST), and the Continuous Performance Test—Identical Pairs(CPT-IP), and the cortical oxygenated hemoglobin levels during a word fluency task were measured with NIRS.Results: Exercise amount was significantly correlated with reaction time on 0- and 1-back tasks(r = —0.602, p = 0.002; r = —0.446, p = 0.033,respectively), whereas TST was significantly correlated with % corrects on the 2-back task(r = 0.486, p = 0.019). Multiple regression analysis,including exercise amount, TST, and sleep efficiency, revealed that exercise amount was the most significant factor for reaction time on 0- and 1-back tasks(b = —0.634, p = 0.002; b = —0.454, p = 0.031, respectively), and TST was the most significant factor for % corrects on the 2-back task(b = 0.542, p = 0.014). The parameter measured by WCST and CPT-IP was not significantly correlated with TST or exercise amount. Exercise amount, but not TST, was significantly correlated with the mean area under the NIRS curve in the prefrontal area(r = 0.492, p = 0.017).Conclusion: Exercise amount and TST had differential effects on working memory and cortical activation in the prefrontal area. Daily physical activity and appropriate sleep duration may play an important role in working memory.
基金supported by Grant-in-Aid for Scientific Research(No.25630215 and 26220906)from the Ministry of Education,Culture,Sports,Science,and Technology,Japanthe Japan Society for the Promotion of Science
文摘The identification of activity locations in con- tinuous GPS trajectories is an essential preliminary step in obtaining person trip data and for activity-based trans- portation demand forecasting. In this research, a two-step methodology for identifying activity stop locations is pro- posed. In the first step, an improved density-based spatial clustering of applications with noise （DBSCAN） algorithm identifies stop points and moving points; then in the second step, the support vector machines （SVMs） method distin- guishes activity stops from non-activity stops among the identified stop points. A time sequence constraint and a direction change constraint are applied as improvements to DBSCAN （yielding an improved algorithm known as C-DBSCAN）. Then three major features are extracted for use in the SVMs method： stop duration, mean distance to the centroid of a cluster of points at a stop location, and the shorter of distances from current location to home and to the workplace. The proposed methodology was tested using GPS data collected from mobile phones in the Nagoya area of Japan. The C-DBSCAN algorithm achieves an accuracy of 90 % in identifying stop points in the first step, while the SVMs method is 96 % accurate in distin- guishing the locations of activity stops from non-activity stops in the second step. Compared to other variants of DBSCAN used to identify activity locations from GPS trajectories, this two-step method is generally superior.
文摘Traffic accidents are mainly caused by human error. In an aging society, the number of accidents attributed to elderly drivers is increasing. One noteworthy reason for this is operation misapplication. Studies have been conducted on the use of human</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">machine interfaces (HMIs) to inform the driver when he or she makes an error and encourage appropriate actions. However, the driver state during the erroneous action has not been investigated. The pur</span><span style="font-family:Verdana;">pose of this study is to clarify the difference in the driver’s state between</span><span style="font-family:Verdana;"> normal and surprising situations in a misapplication scenario, utilizing multimodal information such as biometric information and driver operation. We found significant changes in the interaction of components between the nor</span><span style="font-family:Verdana;">mal and the surprised driving state. The results could provide basic know</span><span style="font-family:Verdana;">ledge for the future development of a driver assistance system and driver state estimation using data acquired from multiple sensors in the vehicle.
基金partially supported by the Center of Innovation Program from Japan Science and Technology Agency, JST
文摘This paper examines older driver＇s automotive trip （abbreviation： trip） characteristics which include trip frequency, trip length, destination distribution, and non- home-based （NHB） trips. A two-month experiment of 108 participants was carried out to collect GPS tracking data in Aichi Prefecture, Japan. To identify the effect of living area, a comparative analysis between older drivers and others is conducted in densely inhabited district （DID, i.e., urban） and other areas （non-DID, i.e., suburban, rural, etc）, separately. The present study found that there was no sig- nificant difference between the trip characteristics of older drivers and others who were living in DID. Thus, we suggest that the education of safety driving and the rec- ommendation of public transportation should be given to DID-living older drivers. However, the results of non-DID reflected that older drivers＇ trip frequency, trip length, destination, and NHB trips rate were shorter and lower than others＇. This implies that electric vehicles may be suit- able for promotion among older drivers in suburban and rural area. Furthermore, the regression analysis confirmed that ＂older driver＂ was a significant independent variable on trip frequency, trip length, and NHB trips, and there were interaction effects between ＂older driver＂ and ＂living areas＂ on all trip characteristics.
基金supported by JSPS Grant-in-Aid for Scientific Research(20K15151)Australian Research Council Discovery Projects(DP200102269)+2 种基金JSPS Core-to-Core programAmada FoundationWhite Rock Foundation。
文摘Cell rotation is one of the most important techniques for cell manipulation in modern bioscience,as it not only permits cell observation from any arbitrary angle,but also simplifies the procedures for analyzing the mechanical properties of cells,characterizing cell physiology,and performing microsurgery.Numerous approaches have been reported for rotating cells in a wide range of academic and industrial applications.Among them,the most popular are micro-robot-based direct contact manipulation and field-based non-contact methods(e.g.,optical,magnetic,electric,acoustic,and hydrodynamic methods).This review first summarizes the fundamental mechanisms,merits,and demerits of these six main groups of approaches,and then discusses their differences and limitations in detail.We aim to bridge the gap between each method and illustrate the development progress,current advances,and prospects in the field of cell rotation.
文摘With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vestibulo-ocular reflex (VOR) model. By changing the initial inputs to the GA and fixing two parameters pertaining to the horizontal direction, we achieved improved parameter identification with a lower mean-square error. The influence of driver distraction on eye movement with changes in gaze direction was evaluated from the difference between the predicted and observed VOR in the vertical axis. When a driver was given an additional mental workload, the mean-square error between the measured and simulated values was bigger than that in the absence of the mental workload. This confirmed the relationship between driver distraction and eye movement in the vertical direction. We hope that this method can be applied in evaluating driver distraction.
文摘The standard ordered response model (SORM) is a common disaggregate approach with ordered outcomes in which the effects of various exogenous attributes are assumed constant across ordinal choices. In this study, an innovative latent class based generalized ordered response model (LC-GORM) is formulated and used to assess the effects of various factors on respondents’ choice behavior with respect to congestion charge proposal for Jakarta, Indonesia. The proposed model probabilistically assigns respondents into selfish and altruistic class memberships (latently) based on their knowledge of the proposed scheme and their specific attributes. Aiming to capture observable preference heterogeneity across ordinal choices and allow the thresholds to be varied across observations, we parameterize the thresholds as a linear function of the exogenous variables for each ordinal preference. Using stated preference data collected in Jakarta in December 2013, we incorporate the influence of a comprehensive set of explanatory variables into four categories: charges, latent variables related to respondent’s psychological motivations, mobility attributes and socio-demographic characteristics. Empirical results obviously verify the existence of preference heterogeneity across outcomes. The findings confirm that the altruistic class are more sensitive with respect to acceptance of the scheme, while the selfish class are more sensitive with respect to rejection. The key factors influencing public acceptability include the charge level and respondent variables such as car dependency, awareness of the problem of cars in society, frequency of visits to the city center and frequency of private mode usage.
文摘In this study, we examine the impacts that EVs （electric vehicles） have on vehicle usage patterns and environmental improvements, using our integrated travel demand forecasting model, which can simulate an individual activity-travel behavior in each time period, as well as consider an induced demand by decreasing travel cost. In order to examine the effects that charging/discharging have on the demand in electricity, we analyze scenarios based on the simulation results of the EVs＇ parking location, parking duration and the battery state of charge. From the simulation, result under the ownership rate of EVs in the Nagoya metropolitan area in 2020 is about 6%, which turns out that the total CO2 emissions have decreased by 4% although the situation of urban transport is not changed. After calculating the electricity demand in each zone using architectural area and basic units of hourly power consumption, we evaluate the effect to decrease the peak load by V2G （vehicle-to-grid）. According to the results, if EV drivers charge at home during the night and discharge at work during the day, the electricity demand in Nagoya city increases by approximately 1%, although changes in each individual zone range from -7% to ＋8%, depending on its characteristics.
基金supported by the National Natural Science Foundation of China (Nos.51602314 and61504151)the National Key R&D Program of China (Nos.2023YFE0101300 and 2024YFA1409600)+2 种基金the Research Fund for International Young Scientists,China (No.52350410462)the Research Fund from Zhejiang Province,China (No.2022R01001)Shandong University for the support on electrical measurement
文摘Controllable synthesis of one-dimensional nanowires(NWs)is crucial for their large-scale applications,but it usually requires complicated catalyst designs with multiple compositions and careful tuning of synthesis parameters.In this study,we performed a systematic investigation into the impact of the shape of Au particles on the geometry and composition of the obtained NWs.We discovered that octahedral,dodecahedral,and cubic Au particles selectively catalyze the growth of Ga,GaAs,and Ga/GaAs heterojunction NWs,respectively.The mechanism stems from the difference in the solubility of Ga in Au catalysts with distinct shapes(i.e.,curvatures)due to the Gibbs-Thomson(G-T)effect:Au octahedrons(7.42 nm),featuring smaller curvature radii,enhance the solubility of Ga precursors,enabling efficient diffusion and faster growth of Ga NWs;Au dodecahedrons(11.22 nm)with larger curvature radii exhibit moderate Ga solubility,favoring the growth of GaAs NWs;Au cubes(10.51 nm)with intermediate Ga solubility,yield Ga/GaAs heterojunction NWs.Finally,we fabricated NW field effect transistors(FETs)and revealed that the Ga NWs exhibited promising electrical characteristics with a resistivity of 2.54×10^(−4)Ω·m,and GaAs NWs showed p-type characteristics.All these results illustrate the promising potential for tuning the geometry and composition of NWs by a single parameter,i.e.,merely changing the shape of a single Au particle.
基金Our research in this paper was partially supported by JST COI JPMJCE1317.
文摘Many traffic accidents occur in parking lots.One of the serious safety risks is vehicle-pedestrian conflict.Moreover,with the increasing development of automatic driving and parking technology,parking safety has received significant attention from vehicle safety analysts.However,pedestrian protection in parking lots still faces many challenges.For example,the physical structure of a parking lot may be complex,and dead corners would occur when the vehicle density is high.These lead to pedestrians’sudden appearance in the vehicle’s path from an unexpected position,resulting in collision accidents in the parking lot.We advocate that besides vehicular sensing data,high-precision digital map of the parking lot,pedestrians’smart device’s sensing data,and attribute information of pedestrians can be used to detect the position of pedestrians in the parking lot.However,this subject has not been studied and explored in existing studies.Tofill this void,this paper proposes a pedestrian tracking framework integrating multiple information sources to provide pedestrian position and status information for vehicles and protect pedestrians in parking spaces.We also evaluate the proposed method through real-world experiments.The experimental results show that the proposed framework has its advantage in pedestrian attribute information extraction and positioning accuracy.It can also be used for pedestrian tracking in parking spaces.
基金supported by grants from the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research(JP21H05657 to M.N.and JP22H04536 to M.H.)the Japan Science and Technology Agency(ERATO JPMJER1004 to T.H.and PRESTO 15665754,CREST JPMJCR15O2,SCORE 2110336,and START 2210365 to M.N.)the NARO Biooriented Technology Research Advancement Institution(SBIR 21488775 to M.N.).
文摘Plants are exposed to a variety of environmental stress,and starvation of inorganic phosphorus can be a major constraint in crop production.In plants,in response to phosphate deficiency in soil,miR399,a type of microRNA(miRNA),is up-regulated.By detecting miR399,the early diagnosis of phosphorus deficiency stress in plants can be accomplished.However,general miRNA detection methods require complicated experimental manipulations.Therefore,simple and rapid miRNA detection methods are required for early plant nutritional diagnosis.
基金This work was supported by 2020 TSUBAME project of Tokyo Institute of Technology.
文摘Enterprise Architecture(EA)has evolved based on the practice of information systems architecture design and implementation.EA is a rigorous description of a structure,and the objectives of EA modeling not only include clarifying corporate strategies,visualizing business processes,and modeling information systems to manage resources but also include improving organizational structures,adjusting information strategies,and creating new business value.Therefore,EA models cover a wide scope that includes both IT and business architectures.Typically,EA modeling is the initial and most important analysis step for researchers,architects,and developers.ArchiMate is the dominant modeling language for EA and it has been shown to improve visualization of EA models.However,few studies have systematically introduced general modeling methods using ArchiMate to meet a broad range of needs and few studies have empirically evaluated the modeling method using ArchiMate.This paper introduces an EA visualization approach to fill that gap and conducts a case study on a wilderness weather station system.Strict controlled experiments are conducted to verify the effectiveness and feasibility of this modeling method,and the experimental results show that this modeling procedure is not only feasible,but also can effectively transform the system metamodel and restore the EA scene.
文摘Recently, traffic accidents caused by elderly drivers have been increasing. It is thought that the reasons of accidents are functions such as decline of eyesight, cognition and physical strength caused by aging. In order to assist safe driving for elderly drivers, it is necessary to sufficiently understand any possible relationship of various senior drivers’ cognition, physical strength and driving behavior. In this paper relationship of elderly driver’s cognition, physical strength and driving behaviors were analyzed using the result of driving instructions on urban road by driving school instructors.
基金the Committee on Advanced Road Technology(CART),Ministry of Land,Infrastructure,Transport,and Tourism,Japan(Development of Evaluation Method of Mobility Space for the Next-generation Mobility Society,No.26-1)。
文摘In this study,older male drivers’stress while driving in straight links and while proceeding through intersections is investigated.Controller area network(CAN),self-reported stress(SRS),and physiological data was collected in 22.4 km-long experimental trips among older and young drivers.First,this study finds that older drivers reported much less stress than young drivers.However,principal components(PCs)of the physiological data demonstrate that older drivers might underrate their driving stress in entire trips,except regarding turning at intersections.Moreover,following other vehicles reduced older drivers’driving stress because preceding vehicles might help them control driving speed,detect the path,and prevent road risks.In contrast,the similar condition increased the stress level of young drivers.The results of random effects regression models confirm that age was the significant impact factor on SRS and physiological data.While examining whether the stress at intersections could affect their driving behaviors,significant difference between two age groups was found neither in turning time nor in the driving speed.This study also confirms that physical and mental changes with aging can negatively affect older adults’behaviors.Considering the relationships among stress,speed,and accidents,we suggest the provision of more driver assistance systems,training,and education and improving intersection design for older drivers.
基金Japan Science and Technology Agency,Grant/Award Number:CIAiSJapan Society for the Promotion of Science,Grant/Award Numbers:JP15H05760,JP16H02285,JP17K04970,JP 18H05329,JP19K15669Yashima Foundation。
文摘The charge interaction and corresponding doping effect between single-walled carbonnanotubes (SWNTs) and various fullerene derivatives, namely, C60, phenyl-C61-butyricacid methyl ester (PC61BM), methano-indenefullerene (MIF), 10,100,40,400-tetrahydrodi[1,4]methanonaphthaleno[5,6]fullerene (ICBA), 1,4-bis(dimethylphenylsilylmethyl)[60]fullerene (SIMEF-1), and dimethyl(orthoanisyl) silylmethyl(dimethylphenylsilylmethyl)[60]fullerene (SIMEF-2), are investigated. A variety of analytical techniques,including field-effect transistors (FETs) made of horizontally aligned arrays ofSWNTs, is used as a means of investigation. Data from different measurements haveto be used to obtain a concrete evaluation for the fullerene-applied SWNTs. The datacollectively points toward the conclusion that fullerenes with high molecular orbitalenergy levels, namely, MIF, SIMEF-1, SIMEF-2, and PC61BM, induce p-type doping,while fullerenes with low molecular orbital energy levels, namely, ICBA and C60,induce n-type doping on the carbon nanotubes. Nevertheless, the SWNTs retained ptypecharacteristics because n-doping induced by the fullerenes are weak compared tothe p-doping of the water and oxygen on carbon nanotubes. This means that fullerenederivatives have the ability to fine-tune the energy levels of carbon nanotubes, whichcan play a crucial role in carbon nanotube-based electronics, such as solar cells, lightemittingdevices, and FETs.
基金funded by the National Natural Science Foundation of China under Grant Nos.62222305,62403056,62088101the Science and Technology Innovation Program of Beijing Institute of Technology under Grant 2024CX06008the Postdoctoral Fellowship Program of CPSF under Grant BX20230459.
文摘Bio-integrated microrobots(BIMs),which are fabricated with biofriendly materials,biological units(e.g.cells or biomolecules),or cell-material hybrids have emerged as a promising technology for minimally invasive biomedicine.The diminutive size and flexible structures enable BIMs to navigate within narrow,deep,and challenging-to-reach in vivo regions,performing biopsy,diagnostic,drug delivery,and therapeutic functions with minimal invasiveness.However,the clinical deployment of BIMs is a highly orchestrated task that requires consideration of material properties,structural design,locomotion,observation,therapeutic outcomes,and side effects on cells and tissues,etc.In this review,we review and discuss the latest advances in the biointegrated microrobot domain,evaluating various methods associated with materials,fabrication,actuation,and the implementation of biomedical functions in BIMs.By comparing the advantages and shortcomings of these techniques,this review highlights the challenges and future trends in highly intelligent bio-integrated microrobots,which have huge potential in minimally invasive biomedicine.
文摘With the high older-related accident ratio and increasing population aging problem, understanding older drivers＇ driving behaviors has become more and more important for building and improving transportation system. This paper examines older driver＇s driving behavior which includes road selection, left/right turn and driving speed. A two-month experiment of 108 participants was carried out in Aichi Prefecture, Japan. Since apparently contradictory statements were often drawn in survey-based or simulators-based studies, this study collected not only drivers＇ basic information but also GPS data. Analysis of road selection demonstrates that older drivers are reluctant to drive on expressway not only in short trips but also in long trips. The present study did not find significant difference be- tween older drivers and others while turning at the intersections. To investigate the impact factors on driving speed, a random-effects regression model is constructed with explan- atory variables including age, gender, road types and the interaction terms between age and road types. Compared with other variables, it fails to find that age （60 years old or over） has significant impact on driving speed. Moreover, the results reflect that older drivers drive even faster than others at particular road types： national road and ordinary municipal road. The results in this study are expected to help improve transportation planning and develop driving assistance systems for older drivers.
