This paper presents a new approach for estimating and improving voltage stability margin from phase and magnitude profiles of bus voltages using sensitivity analysis of Voltage Stability Assessment Neural Network (VSANN). Bus voltage profile contains useful information about system stability margin including the effect of loadgeneration pattern, line outage and reactive power compensation, so i...

With the increases in size and strength that come with adulthood, challenging behaviours among those with autism spectrum disorders (ASD) can become critical. Few studies have explored behavioural interventions in adults with ASD, though recent studies have shown video self-modeling (VSM) to be effective in children with ASD. VSM involves an individual watching videos of himself demonstrating p...

In order to reduce the dimension of VSM (Vector Space Model) for information retrieval and clustering, this paper proposes a new method, Semantic-VSM, which uses the Semantic Attribute System defined by ”A-Japanese-Lexicon” instead of literal words used in conventional VSM. The attribute system consists of a tree structure with 2,710 attributes, which includes 400 thousand literal words. Using ...

The paper presents a generic framework for a Product Driven Control Systems (PDCS) dealing with production planning and control. The framework is based on Viable System Model (VSM) which is introduced for intelligent manufacturing systems. Based on suitable properties as autonomy, self-organization and adaptability, VSM allows to model and consider these properties for PDCS. An application for ...

Of 62 males admitted for treatment in Turkey in 2008 with a diagnosis of volatile substance misuse (VSM) dependency, half were randomly allocated to receive a cognitive behavioral therapy (CBT)-based brief intervention and an education program and half participated only in the education program. One year after treatment, 38.2% of the experimental group and 58.1% of the control group had continu...

This paper discusses an implementation of CMU Sphinx-4 in an automatic speech recognition-based information center (ASRIC) for Indonesian language. The ASRIC uses a vector space model (VSM) to improve the performance of statistical language model and to recognize the user utterance more flexibly. Testing to an Indonesian speaker shows that VSM is capable of reducing the query error rate in acce...

Lyric-based song sentiment classification seeks to assign songs appropriate sentiment labels such as light-hearted and heavy-hearted. Four problems render vector space model (VSM)-based text classification approach ineffective: 1) Many words within song lyrics actually contribute little to sentiment; 2) Nouns and verbs used to express sentiment are ambiguous; 3) Negations and modifiers around t...

In mammals, endothelin receptors are sub-classified into ET(A) receptors (ET(A)R), which are purely constrictive in vascular smooth muscle (VSM), and ET(B)R, which may produce constriction in VSM or dilatation by stimulating the production of nitric oxide (NO) from endothelial cells. In contrast, previous studies suggested that shark VSM is stimulated exclusively by ET(B)R. The Ca(2+) signaling...

Vascular smooth muscle (VSM) cells, endothelial cells (EC), and pericytes that form the walls of vessels in the microcirculation express a diverse array of ion channels that play an important role in the function of these cells and the microcirculation in both health and disease. This brief review focuses on the K+ channels expressed in smooth muscle and endothelial cells in arterioles. Microva...