LTE and WiFi: Experiences with Quality and Consumption

AbstractNumerous reports over the past few years have noted that wireless data consumption continues to increase at incredible rates. Such growth rates tend to be felt most acutely in the cellular space where smartphones and tablets continue to increase in capability and popularity. Unfortunately, there exists limited public data with regards to fine-grained user performance, particularly with regards to the transition between 3G and LTE and the interplay between 3G, LTE, and WiFi. The focus of this paper is to offer insight into these particular transition points as gleaned from nearly two hundred well-instrumented smartphone users. Specifically, we note the considerable impact that the quality of smartphone WiFi plays in addition to noting that consumption across WiFi and cellular tends to stay remarkably consistent once sufficient cellular speeds are achieved. We conclude our paper with a variety of research and data challenges that we pose to the wireless networking community

Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker

Tremendous amounts of data exist in life sciences along with many bio-ontologies. Though these databases contain important information about gene, proteins, functions, etc., this information is not well utilized due to the heterogeneous formats of these databases. Therefore, ontology alignment (OA) is now very critical for life science domain. Our work utilizes AgreementMaker for OA and describes results, difficulties faced in the process, and lessons learned. We aligned two real-world ontologies, the Parasite Experiment Ontology (PEO) and the Ontology for Biomedical Investigations (OBI). The former is more application- oriented and the latter is a reference ontology for any biomedical or clinical investigations. Our study led to several enhancements to AgreementMaker: annotation profiling, mapping provenance information, and tailored lexicon building. These enhancements, which are applicable to any OA system, greatly improved the alignment of these real world ontologies, producing 90% precision with 60% recall from the BSMlex+, the Base Similarity Matcher, and 57% precision with 67% recall from the PSMlex+, the Parametric String Matcher, both using lexicon lookup for synonyms. The mappings obtained through this study are posted on BioPortal site for public use

Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker

Tremendous amounts of data exist in life sciences along with many bio-ontologies. Though these databases contain important information about gene, proteins, functions, etc., this information is not well utilized due to the heterogeneous formats of these databases. Therefore, ontology alignment (OA) is now very critical for life science domain. Our work utilizes AgreementMaker for OA and describes results, difficulties faced in the process, and lessons learned. We aligned two real-world ontologies, the Parasite Experiment Ontology (PEO) and the Ontology for Biomedical Investigations (OBI). The former is more application- oriented and the latter is a reference ontology for any biomedical or clinical investigations. Our study led to several enhancements to AgreementMaker: annotation profiling, mapping provenance information, and tailored lexicon building. These enhancements, which are applicable to any OA system, greatly improved the alignment of these real world ontologies, producing 90% precision with 60% recall from the BSMlex+, the Base Similarity Matcher, and 57% precision with 67% recall from the PSMlex+, the Parametric String Matcher, both using lexicon lookup for synonyms. The mappings obtained through this study are posted on BioPortal site for public use

An online monitor ionization chamber used in particle therapy

The clinical trials of tumor therapy using heavy ions beam C-12 are now in progress at Institute of Modem Physics in Lanzhou. In order to achieve the precise radiotherapy with the high energy C-12 beam in active pencil beam scanning mode, we have developed an ionization chamber(IC) as an online monitor for beam intensity and also a dosimeter after calibration. Through the choosing of working gas and voltage, optimizing of the electrics and the read-out system, calibrating the linearity, the detector system provide us one of the simple and highly reliable way to monitoring the beam during the active pencil beam scanning treatments. The measurement results of this detector system show that it could work well under the condition of high energy C-12 beam in active pencil beam scanning mode.National Nature Science Foundation of China 10305015 10475098 Major Program of the Chinese Academy of Science 0701050YZ