A Sensor Data Collection Method with a Mobile Sink for Communication Traffic Reduction by Delivering Predicted Values

2012 ◽  
Author(s):  
Wataru Seino ◽  
Tomoki Yoshihisa ◽  
Takahiro Hara ◽  
Shojiro Nishio
Keyword(s):  
Data Collection ◽  
Mobile Sink ◽  
Sensor Data ◽  
Collection Method ◽  
Data Collection Method ◽  
Traffic Reduction ◽  
Communication Traffic ◽  
Predicted Values

scholarly journals Measuring social networks in primates: wearable sensors versus direct observations

2020 ◽  
Vol 476 (2236) ◽  
pp. 20190737
Author(s):  
Valeria Gelardi ◽  
Jeanne Godard ◽  
Dany Paleressompoulle ◽  
Nicolas Claidiere ◽  
Alain Barrat
Keyword(s):  
Data Collection ◽  
Wearable Sensors ◽  
A Priori ◽  
Population Level ◽  
Sensor Data ◽  
Collection Method ◽  
Data Collection Method ◽  
The Social ◽  
Different Types ◽  
Data Yield

Network analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioural observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Moreover, sensor data yield a reliable social network over short time scales and can be used for long-term studies, showing their important potential for detailed studies of the evolution of animal social groups.

scholarly journals A Sensor Data Collection Method for Multi-granularity Contour Lines Map Creations on an Overlay Network

2013 ◽  
Vol 21 (4) ◽  
pp. 665-673
Author(s):  
Jun Shinomiya ◽  
Yuuichi Teranishi ◽  
Kaname Harumoto ◽  
Shojiro Nishio
Keyword(s):  
Data Collection ◽  
Overlay Network ◽  
Sensor Data ◽  
Collection Method ◽  
Data Collection Method ◽  
Contour Lines

Strategi Pemasaran Untuk Meningkatkan Jumlah Kunjungan Pada Obyek Wisata Kebun Raya Dan Kebun Binatang (KRKB) Gembira Loka Di Kota Yogyakarta

2017 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
Nur Wening ◽  
Muhammad Al Hasny ◽  
Ridha Fitryana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Marketing Strategy ◽  
Swot Analysis ◽  
Internal Variable ◽  
External Variable ◽  
Collection Method ◽  
Data Collection Method ◽  
A Company

This research aims to formulate marketing strategy to increase visitors of Gembira Loka Garden and Zoo (KRKB Gembira Loka) in Yogyakarta. This research is qualitative research and uses interview, observation, and documentation as data collection method. The data is analyzed by using SWOT analysis with internal and external variable identification. The internal variable shows that location is the main strength of Gembira Loka KRKB with 0.17 by value and 5 by rating. From external variable, the result of EFAS table shows that Gembira Loka KRKB has good enough chance while the thread has less result than the chance. Gembira Loka KRKB is in quadrant 1, which is the position in which a company is considered to be in a beneficial situation due to its chance and strength. In such case, the company can utilize the chance by maximizing the strength. The following strategy to go through in this condition is supporting aggressive planning.

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