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A soft+rigid hybrid exoskeleton concept in scissors-pendulum mode: A suit for human state sensing and an exoskeleton for assistance
(IEEE, 2019-06)
In this paper, we present a novel concept that can enable the human aware control of exoskeletons through the integration of a soft suit and a robotic exoskeleton. Unlike the state-of-the-art exoskeleton controllers which ...
Rapid design of real-time image fusion on FPGA using HLS and other techniques
(IEEE, 2018)
During the process of implementing a parameterized hardware IP generator for an image fusion algorithm, we had a chance to test various tools and techniques such as HLS, pipelining, and PCIe logic/software porting, which ...
Parkinson’s disease diagnosis using machine learning and voice
(IEEE, 2018)
Biomarkers derived from human voice can offer in-sight into neurological disorders, such as Parkinson's disease (PD), because of their underlying cognitive and neuromuscular function. PD is a progressive neurodegenerative ...
Evaluation of distributed machine learning algorithms for anomaly detection from large-scale system logs: a case study
(IEEE, 2018)
Anomaly detection is a valuable feature for detecting and diagnosing faults in large-scale, distributed systems. These systems usually provide tens of millions of lines of logs that can be exploited for this purpose. ...
Underwater visible light communications in cascaded gamma-gamma turbulence
(IEEE, 2018)
In this paper, we investigate the performance of vertical underwater visible light communication (VLC) links in the presence of moderate and strong turbulence conditions using Gamma-Gamma (GG) probability density function. ...
A topology for policies in decentralized stochastic control and existence of optimal policies
(IEEE, 2018)
In this paper, we introduce a topology for policies in decentralized stochastic control models to establish the existence of team-optimal policies for both static and a class of sequential dynamic teams. We first consider ...
Evaluation of linguistic and prosodic features for detection of Alzheimer’s disease in Turkish conversational speech
(Springer Science+Business Media, 2015-12)
Automatic diagnosis and monitoring of Alzheimer’s disease can have a significant impact on society as well as the well-being of patients. The part of the brain cortex that processes language abilities is one of the earliest ...
Hybrid statistical/unit-selection Turkish speech synthesis using suffix units
(Springer International Publishing, 2016-12)
Unit selection based text-to-speech synthesis (TTS) has been the dominant TTS approach of the last decade. Despite its success, unit selection approach has its disadvantages. One of the most significant disadvantages is ...
Model-based runtime monitoring of smart city systems
(Elsevier, 2018)
The pace of proliferation for smart systems in city wide applications is unmatched. The introduction of Internet of Things (IoT), an enabler of smart city phenomenon, has incubated a productive environment for such ...
Optimal stiffness tuning for a lower body exoskeleton with spring-supported passive joints
(IEEE, 2018-10-09)
This paper presents a framework to optimally tune the stiffness values of spring-supported passive joints that are included in lower body exoskeletons. First, a dynamic model of a combined human-exoskeleton system was ...
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