The extraction of cobalt from secondary resources has become crucial, as been identified a strategically important and critical raw material due to the high risks supply chain disruptions. In this work, selective sulfation roasting was investigated potential recycling strategy extract lithium an industrial oxide (LCO)-rich black mass. Additionally, effect graphite on metal studied. first set ex...

MPEG-4 supports dynamic scene composition through various interactions such as adding/removing/replacing objects and changing object’s properties. MPEG-4 content can express rich meanings through various dynamic scene composition by object-based, and can be played to mobile or desktop environment. Therefore, the MPEG-4 player must effectively play according authoring purpose and meaning, and co...

This paper describes the system details and results of the participation of the team from the University of Melbourne in the SeeDev binary event extraction of BioNLP-Shared Task 2016. This task addresses the extraction of genetic and molecular mechanisms that regulate plant seed development from the natural language text of the published literature. In our submission, we developed a system1 usi...

Feature vector generation is an important step in biometric authentication. Biometric traits such as fingerprint, palmprint, iris, & finger-knuckle prints are rich in texture. This texture is unique and the feature vector extraction algorithm should correctly represent the texture pattern. In this paper a texture feature extraction methodology is proposed for iris and pamlprints. This method is...

Medical texts are filled with mentions of diseases, disorders, and other clinical conditions, with many different surface forms relating to the same condition. We describe MINERAL, a system for extraction and normalization of disease mentions in clinical text, with which we participated in the Task 14 of SemEval 2015 evaluation campaign. MINERAL relies on a conditional random fields-based model...

The identification of light verb constructions (LVC) is an important task for several applications. Previous studies focused on some limited set of light verb constructions. Here, we address the full coverage of LVCs. We investigate the performance of different candidate extraction methods on two English full-coverage LVC annotated corpora, where we found that less severe candidate extraction m...

Twitter is a potentially rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing (NLP) tasks. In this paper we present a hybrid approach for Named Entity Extraction (NEE) and Linking (NEL) for tweets. Although NEE and NEL are two topics that are well studied in literature, almost all approaches treated the...