background and objectives: ferula assa-foetida (asafoetida) is a native iranian species which grows in different regions and climates in iran. the plant is well known in iranian traditional medicine as well as folk medicine for treatment of diseases. several studies have been carried out on the essential oil of this species collected from different areas of iran. this study is the first report ...

Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure damage, etc. Given labeled data, supervised machine learning can help classify these messages. Scarcity of labeled data causes poor performance in machine training. Can we reuse old tweets to train classifiers? How can ...

considering the large amount of investment in railway transportation systems, effective use of resources is highly important. typically, in order to utilize the line capacity, train scheduling plays a substantial role and thus attracts lots of attention all over the world. various train-scheduling models are introduced, according to different conditions of different countries. however, for iran...

Social media becomes a communicating channel during a natural disaster for detecting disaster events because people share their opinions, feelings, activity during the disaster through the Twitter. Twitter is not simply a platform for broadcasting information, but one of informational interaction. So, we use this platform for mining various disaster relevant tweets during a natural disaster. We...

Introduction In the aftermath of a terrorist attack on a large public venue such as an airport, a train station, or a theme park, rapid but safe evacuation is critical. For example, multiple IED explosions at the Los Angeles International Airport (LAX) will require evacuation of thousands of travelers and airport staff, while mitigating the risks from possible secondary explosions. In such case...

Serious accidents in the last years, e.g. Concorde disaster, long-distance train ICE 3rd generation, and countless and increasing rates of call-back actions of automobiles because of failures, underline the necessity for systematic dependability analysis and integrative dependability design. The different technological areas (mechanics, electronics, information and communication technology) and...

Volunteered geographic information can be seen as valuable data for various applications such as within disaster management. OpenStreetMap data, for example, are mainly contributed by remote mappers based on satellite imagery and have increasingly been implemented in response actions to various disasters. Yet, the quality often depends on the local and country-specific knowledge of the mappers,...

Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure damage, etc. Given labeled data, supervised machine learning can help classify these messages. Scarcity of labeled data causes poor performance in machine training. Can we reuse old tweets to train classifiers? How can ...

Accurate forecasting of icing thickness has a great significance for ensuring the security and stability of power grid. In order to improve the forecasting accuracy, this paper proposes an icing forecasting system based on fireworks algorithm and weighted least square support vector machine (W-LSSVM). The method of fireworks algorithm is employed to select the proper input features with the pur...