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71.
Field operators need access to and interaction with more information than is available today during field operations. Wearable computers can provide relevant information with hands-free interaction techniques to support work tasks in the field. Potential implications of introducing wearable computers are collaboration, information overload, situation awareness and social relationships. Interaction techniques between humans are natural and well known and include voice, gestures, eye movements and biopotentials. Voice is a promising interaction technique for wearable computers, assuming improvements for rough and noisy environments. Wearable computers may change the roles and responsibilities while providing extended support for communication and collaboration. Field operators will be better prepared to prevent failures and secure quality. Control room operators will perform more administrative and management tasks. Correspondence and offprint requests to: C. Skourup, ABB AS, Corporate Research Center, Bergerveien 12, PO Box 90, N-1375 Billingstad, Norway. Email: charlotte.skourup@no.abb.com  相似文献   
72.
    
The sudden implementation of work-from-home setup has caused the rise of sedentary position among employees which led to an increase in development or worsening of musculoskeletal disorders. To help mitigate this problem, wearable assistive devices such as wearable chairs have been argued to be beneficial. Several studies have expounded on the benefit of using this, however little to no available device is yet present in the Philippines. To which, businesses and developers could capitalize on this aspect. This study examined the perceived usability of wearable chair exoskeleton in the Philippines by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT2) and System Usability Scale (SUS). A questionnaire was developed and distributed to 365 residents in the Philippines to measure the factors and their relationship to perceived usability accurately. Indicators and measures used in the questionnaire were derived from existing literature on technology acceptance and usability evaluation. Partial least squares structural equation modeling (PLS-SEM) was used for this study. Results revealed that perceived usability was significantly influenced by usage behavior. At the same time, habit, hedonic motivation, and performance expectancy significantly influenced the behavioral intention of the wearable chair exoskeleton. K-Means clustering was also utilized to identify clusters of target users of the wearable chair in the country, such as high-value customers, core customers, and low-value customers. Results indicated that demographic factors such as females, 30 years old and below, earning Php45,000 and above monthly, and living in a city are highly likely to utilize the product. The findings of this study can be applied and extended as a theoretical framework for future researchers of consumer behavior and exoskeleton developers for enhancing the innovation and usability of this new technology. This study may also be used and capitalized by investors to strategize the development and marketing of the exoskeletons among industrial and teleworkers worldwide.  相似文献   
73.
    
This paper presents two rehabilitation approaches of the lower limb: passive and active. The passive one ensures repetitive motions of the limb without any effort delivered by the wearer. Within the active one, a human–exoskeleton interaction approach is proposed. It allows us to provide a knee joint torque support, adapted according to the intention and ability of the wearer, for assistance-as-needed. The wearer׳s intention is estimated using a realistic model of the muscles actuating the knee joint. The identification process concerns the inertial parameters of the shank-foot-exoskeleton and the musculotendinous parameters. Experiments were conducted online on a healthy subject and have shown satisfactory results in terms of tracking error, intention detection and passive-rehabilitation/active-assistance.  相似文献   
74.
    
Legged exoskeletons supplement human intelligence with the strength and endurance of a pair of wearable mechanical legs that support heavy loads. The exoskeleton-type system is a nonlinear system with uncertainty of parameters, which is not easy to be identified with traditional mathematical model. This paper presents co-simulations of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms, which do not need the precise model. The lower extremity exoskeleton model with series–parallel topology was briefly described and the gait characteristics were analyzed. The co-simulation method integrates ADAMS and MATLAB/SIMULINK with fuzzy-PID/PID algorithms, which were used to develop the control schematic of the exoskeleton-human robot system. Finally, co-simulations of humanoid gaits and movements, which include level walking, stair ascent, stair descent, side kick, squatting down and standing up, were provided to confirm the performances and effectiveness of the proposed control approach.  相似文献   
75.
    
This paper describes an implemented system to measure and track the motion of a sensor which is attached to a person or walking robot. The complex gait motion undergone by a structure-measuring sensor during walking introduces significant uncertainty into the measurements it takes. By measuring and tracking the sensor’s motion, more meaningful information can be obtained from the measurements, and predictions can be made about the future observed position of important objects in the world. The use of motion measuring devices is discussed and compared to the possible estimation of motion by the structural sensor itself. Analysis of walker motion is performed through the use of Gabor wavelets and the Extended Kalman Filter. The method tracks and predicts motions reliably while the walker walks in a straight path or turns corners. Particular attention is focussed on the case where the structural sensor is computer vision, and the benefit that a motion model can provide with it.  相似文献   
76.
This paper presents a novel, distributed approach to monitor physical interaction between a user and a wearable robot. We propose to apply a matrix of optoelectronic sensors embedded in a thin and compliant silicone bulk onto the user-robot contact surface. This distributed tactile sensor can measure the pressure distribution on the interaction area without affecting the comfort of the user, and does not require the robot to be specifically designed to house it. Besides the estimation of the interaction force/torque, the distributed approach allows to monitor the pressure on the user’s skin. This information is fundamental to assess the comfort and safety of the users which determine the final acceptability of the robot-mediated rehabilitation. The proposed method is preliminary evaluated on an elbow active orthosis during a repetitive rehabilitation task. Experimental results prove the relevance of this approach for the detection of the user motion intention through a measurement of the interaction force distribution.  相似文献   
77.
Breathable and stretchable conductive materials are ideal for healthcare wearable electronic devices.However,the tradeoff between the sensitivity and detection range of electronic sensors and the chal-lenge posed by simple-functional electronics limits their development.Here,inspired by the bionic-leaf vein conductive path,silver nanowires(AgNWs)-Ti3C2Tx(MXene)hybrid structure assembled on the non-woven fabrics(NWF)is well sandwiched between porous polyborosiloxane elastomer(PBSE)to construct the multifunctional breathable wearable electronics with both high anti-impact performance and good sensing behavior.Benefiting from the high conductive AgNWs-MXene hybrid structure,the NWF/AgNWs-MXene/PBSE nanocomposite exhibits high sensitivity(GF=1158.1),wide monitoring range(57%),con-trollable thermal management properties,and excellent electromagnetic interference shielding effect(SET=41.46 dB).Moreover,owing to the wonderful shear stiffening effect of PBSE,the NWF/AgNWs-MXene/PBSE possesses a high energy absorption performance.Combining with deep learning,this breath-able electronic device can be further applied to wireless sensing gloves and multifunctional medical belts,which will drive the development of electronic skin,human-machine interaction,and personalized healthcare monitoring applications.  相似文献   
78.
    
There are a significant number of high fall risk individuals who are susceptible to falling and sustaining severe injuries. An automatic fall detection and diagnostic system is critical for ensuring a quick response with effective medical aid based on relative information provided by the fall detection system. This article presents and evaluates an accelerometer-based multiple classifier fall detection and diagnostic system implemented on a single wearable Shimmer device for remote health monitoring. Various classifiers have been utilised within literature, however there is very little current work in combining classifiers to improve fall detection and diagnostic performance within accelerometer-based devices. The presented fall detection system utilises multiple classifiers with differing properties to significantly improve fall detection and diagnostic performance over any single classifier and majority voting system. Additionally, the presented multiple classifier system utilises comparator functions to ensure fall event consistency, where inconsistent events are outsourced to a supervisor classification function and discrimination power is considered where events with high discrimination power are evaluated to further improve the system response. The system demonstrated significant performance advantages in comparison to other classification methods, where the proposed system obtained over 99% metrics for fall detection recall, precision, accuracy and F-value responses.  相似文献   
79.
    
Smartphones store sensitive and confidential data, e.g., business related documents or emails. If a smartphone is stolen, such data are at risk of disclosure. To mitigate this risk, modern smartphones allow users to enable data encryption, which uses a locking password to protect the data encryption key. Unfortunately, users either do not lock their devices at all, due to usability issues, or use weak and easy to guess 4-digit PINs. This makes the current approach of protecting confidential data-at-rest ineffective against password guessing attackers. To address this problem we design, implement and evaluate the Sidekick system — a system that uses a wearable device to decouple data encryption and smartphone locking. Evaluation of the Sidekick system revealed that the proposal can run on an 8-bit System-on-Chip, uses only 4 Kb/20 Kb of RAM/ROM, allows data encryption key fetching in less than two seconds, while lasting for more than a year on a single coin-cell battery.  相似文献   
80.
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