Experimental Investigation Into Soil and Mechanical Pick-up Device Interaction in Nodule Mining of Deep Seabed

This research is focused to experimentally analyze the nodule picking efficiency of a deep sea mechanical pick-up device developed by National Institute of Ocean Technology, India. Experiments were conducted in a simulation tank with different operating parameters on a bentonite soil bed simulating the deep seabed and artificial nodules. Digging depth of the pick-up device, its angle and haulage velocity were the input variable parameters. From the experimental investigations, the values of the operating parameters that result in the highest pick-up efficiency were identified. The nodule picking efficiency increased as the pick-up device inclination was increased and reduced when the digging depth and haulage velocity were increased. The maximum nodule picking efficiency was 85% when the haulage speed, digging depth, and pick-up device inclination were 0.0375 m/s, 25 mm, and 30°, respectively. The research outcome would be useful in actual deep seabed conditions for efficient polymetallic nodule mining. Multiple mining machines with increased working width are proposed for large-scale operations.

Robust voice user interface for internet-of-things

Internet of things (IoT) plays significant role in the fourth industrial revolution and attracts an increasing interest due to the rapid development of smart devices. IoT comprises factors of twofold. Firstly, a set of things (i.e., appliances, devices, vehicles, etc.) connected together via network. Secondly, human-device interaction to communicate with these things. Speech is the most natural methodology of interaction that can enrich user experience. In this paper, we propose a novel and effective approach for building customized voice interaction for controlling smart devices in IoT environments (i.e., Smart home). The proposed approach is based on extracting customized tiny decoding graph from a large graph constructed using weighted finite sates transducers. Experimental results showed that tiny decoding graphs are very efficient in terms of computational resources and recognition accuracy in clean and noisy conditions. To emphasize the effectiveness of the proposed approach, the standard Resources Management (RM1) dataset was employed and promising results were achieved when compared with four competitive approaches.

Software Protection of Smart Household Appliances Against Over-Exploitation

This work presents the author’s original research on engineering of algorithms to modify smart household appliance operation with a particular emphasis on ensuring the achievement of a controlled lifetime. The presented solutions are based on the programmable process of device interaction with the user, simulated damage, and simulated wear of the device. These solutions are particularly important in business processes aimed at increasing profit as a result of the quiet pressure for end users to replace household appliances more frequently.

Development of a Full-body OpenSim Musculoskeletal Model Incorporating Head-mounted Virtual Reality Headset

In this study, we developed and validated a full-body musculoskeletal model in OpenSim to estimate muscle and joint forces while performing various motor tasks using a virtual reality (VR) system. We compared the results from our developed full-body musculoskeletal model to those from previous studies by simulating kinematic and kinetic data of participants performing pick-and-place lifting tasks using with and without a physically interactive VR system. Results showed that scaling errors between the two environments are comparable, while the overall errors were consistent with previous studies. Overall, the results from the inverse dynamic simulations showed the promise of our developed OpenSim models in determining potential intervention or prevention strategies to reduce the musculoskeletal injury incidences while simulating human-device interaction tasks.

Control System Design of an Underactuated Dynamic Body Weight Support System Using Its Stability

This paper discusses the stability of systems controlling patient body weight support systems which are used in gait re-education. These devices belong to the class of underactuated mechanical systems. This is due to the application of elastic shock-absorbing connections between the active part of the system and the passive part which impacts the patient. The model takes into account properties of the system, such as inertia, attenuation and susceptibility to the elements. Stability is an essential property of the system due to human–device interaction. In order to demonstrate stability, Lyapunov’s theory of stability, which is based on the model of system dynamics, was applied. The stability of the control system based on a model that requires knowledge of the structure and parameters of the equations of motion was demonstrated. Due to inaccuracies in the modeling of the rope (one of the basic elements of the device), an adaptive control system was introduced and its stability was also proved. The authors conducted simulation and experimental tests that illustrate the functionality of the analyzed control systems.

Mechanisms of fibrinolysis resistance and potential targets for thrombolysis in acute ischaemic stroke: lessons from retrieved stroke emboli

There has been growing interest and insight into the histological composition of retrieved stroke emboli. One of the main focuses of the stroke clot analysis literature has been the implications of clot composition on mechanical thrombectomy procedures. However, the holy grail of clot analysis may not be in the field of clot–device interaction, but rather, in understanding mechanisms of fibrinolysis resistance. The mechanisms underlying the low response to fibrinolytic therapy, even with the newer, more powerful agents, remain poorly understood. While factors such as embolus size, location and collateral status influence alteplase delivery and recanalisation rates; compositional analyses focused on histological and ultrastructural characteristics offer unique insights into mechanisms of alteplase resistance. In this review, we strive to provide comprehensive review of current knowledge on clot composition and ultrastructural analyses that help explain resistance to fibrinolysis.