he mobile social networking revolution is upon us and could have as profound an effect in enriching local social interaction as the Internet has had in enriching online information access and discourse. The key observation in this article is that the explosive phenomenon of online social networks can be harnessed using mobile devices to answer the compelling question that frequently appears in local social contexts: "Who's that?" It is often the case that people want to find out more about those who are around them; for example, who is that speaking to a group of people in a corner of the room, or who is that who just walked into the room? Standard solutions include asking those around you, looking at name tags, introducing yourself, and so on, none of which leverage the power of technology to help answer these compelling questions and thereby enrich the social interaction.Online social networks have exploded in popularity [1-3]. As of December 2007, Facebook had over 59 million users [4]. It is estimated that over 85 percent of four-year college students have a Facebook profile, presenting a very usable penetration rate and providing an incredible resource for applications that might leverage this data. These online social networks provide a wealth of personal contextual information, including name, picture, contact information, gender, relationship status/interests, activities/hobbies, musical preferences, literature interests, group membership, and, of course, friendship information concerning user interconnection. Social networks provide a variety of mechanisms for users to share these rich sets of contextual data with other users, including searching for other users with similar interests, as well as a means to establish and maintain communication with other users. Social networks can be seen as a natural evolution of the Internet, where the first big wave facilitated a person's access to information; for example, Web servers and peer-topeer networks providing news and information content, as well as ways to buy products, whereas this next big wave is focused on facilitating person-to-person communication.WhozThat is motivated by the idea that bringing this rich contextual information from online social networks into the real world of local human interactions substantially enriches local social interaction. Imagine if you knew more about the people around you in a social gathering, such that you could more easily strike up a conversation with someone with whom you were interested in talking. By being informed via mobile technology of the identity of the person with whom you are seeking to interact and consulting information obtained from that person's public social networking profile, you could more easily initiate a conversation, perhaps introducing yourself and saying, "I noticed we have a shared interest in this hobby or that cause." The ability of mobile social networking (MoSoNet) technology to substantially lower the barriers to social discourse by minimizing unfamiliarity could revolutionize human soc...

Small unmanned aircraft systems (sUAS) are rapidly transforming atmospheric research. With the advancement of the development and application of these systems, improving knowledge of best practices for accurate measurement is critical for achieving scientific goals. We present results from an intercomparison of atmospheric measurement data from the Lower Atmospheric Process Studies at Elevation—a Remotely piloted Aircraft Team Experiment (LAPSE-RATE) field campaign. We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. Most sUAS measurements show broad agreement with the reference, particularly temperature and wind speed, with mean value differences of 1.6 ± 2.6 ∘ C and 0.22 ± 0.59 m/s for all sUAS, respectively. sUAS platform and sensor configurations were found to contribute significantly to measurement accuracy. Sensor configurations, which included proper aspiration and radiation shielding of sensors, were found to provide the most accurate thermodynamic measurements (temperature and relative humidity), whereas sonic anemometers on multirotor platforms provided the most accurate wind measurements (horizontal speed and direction). We contribute both a characterization and assessment of sUAS for measuring atmospheric parameters, and identify important challenges and opportunities for improving scientific measurements with sUAS.

Sampling the atmospheric boundary layer with small unmanned aircraft is a difficult task requiring informed selection of sensors and algorithms that are suited to the particular platform and mission. Many factors must be considered during the design process to ensure the desired measurement accuracy and resolution is achieved, as is demonstrated through an examination of previous and current efforts. A taxonomy is developed from these approaches and is used to guide a review of the systems that have been employed to make in situ wind and thermodynamic measurements, along with the campaigns that have employed them. Details about the airframe parameters, estimation algorithms, sensors, and calibration methods are given.

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