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The purpose of this study was to evaluate the effect of neurofeedback on depressive symptoms and electrophysiological disturbances in patients with major depressive disorder. We recruited participants suffering from depression to evaluate efficacy of left prefrontal beta with alpha/theta training. An 8-week, prospective, open-label study was undertaken. Twenty participants were recruited. The treatment...
This paper introduces a formal description about a new exception detection framework for context-aware systems. This framework aims to encourage application programmers in context-aware systems to write exception description and handling codes by providing a systematic way to do it. In this framework some portions of the formal modeling are applied to performance optimization and to automation of...
This paper is about an optimization method to detect "semantic exceptions" in context aware systems, which means the kind of exceptions considering application semantics. To provide user-friendliness and expressiveness for program developers, in addition to efficiency in detection, intuitive descriptions like "too near()," and "too fast()" are supported, and transformed...
Context-aware applications should consider the devices and networks engaged in the systems, as well as the complex control and data structures in the applications. This makes it not so straightforward to understand applications and to achieve the quality of applications, without well-defined formal model adequate to the intended goals. In this paper, we propose a formal model for context aware system,...
This paper presents a design of AES (advanced encryption standard) with parallel architecture. The proposed architecture maintains throughput as it is but consumes lower power than the original architecture by using 1/2 clock-rate and reducing supply voltage. Models were designed using VHDL and verified by both functional and gate-level simulation. They were logically synthesized using 0.25 um, 90...
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