Ben Faiza v France: Use of Cell Site Location Information by Police Is Acceptable Interference with Right to Privacy

2019 ◽  
Vol 5 (1) ◽  
pp. 120-126
Author(s):  
K. Keyaerts
1977 ◽  
Vol 42 (3) ◽  
pp. 449-461 ◽  
Author(s):  
Linda S. Cordell

AbstractData derived from site survey and excavation in central New Mexico indicate that there is a lack of congruence, or agreement, between material recovered through excavation and expectations derived from environmental, ethnographic and site location information. It is argued that the lack of congruence should not be dismissed but may provide useful insights into past subsistence technology.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mohamed Amin Abdelfatah

Abstract One of the most important parameters in meteorological data is the Precipitable Water Vapor (PWV). It can be measured by radiosonde stations (RS), but the fact is that RS are not available in all times. Therefore, GNSS satellite signals are considered an accurate function to compute it within a conversation factor. The conversation factor depends on the weighted mean temperature ( T m {T_{m}} ) which is non-measurable. In this research, a new idea to estimate T m {T_{m}} is provided, which can potentially contribute to the GNSS meteorology. The T m {T_{m}} was designed, including six RS, over one year in Egypt as input parameters. The machine learning (ML) model has been utilized in the design (IBM SPSS Statistics 25 package). The new model needs to collect the day of year (DOY), site location information and surface temperature to predict the T m {T_{m}} . The results of ML model and four other empirical models (Bevis et al., Wayan and Iskanda, Yao and Elhaty et al. models) are compared. The validation work is carried out, using the radiosonde data, and results indicate that the new T m {T_{m}} model can achieve the best performance with RMS of 1.7 K.


2019 ◽  
Vol 45 (4) ◽  
pp. 331-355
Author(s):  
Ryan Knox

Every day, companies collect health information from customers and analyze it for commercial purposes. This poses a significant threat to privacy, particularly as the Fourth Amendment protection of this deeply personal information is limited. Generally, law enforcement officers do not need probable cause and a warrant to access these private health information databases; only a subpoena is required, and sometimes nothing at all. The Fourth Amendment protections for health information may, however, have changed after the Supreme Court's 2018 decision in Carpenter v. United States, which held that the Fourth Amendment protects people from warrantless searches of historical cell-site location information possessed by their cell phone providers. The Court explained that, because of the nature of historical cell-site location information, individuals retain a reasonable expectation of privacy despite the information being in the possession of a third party. In reaching its holding, the Supreme Court considered the type of data, the uniqueness of cell-site location information, the impact of technological advancement on privacy, the voluntariness of the disclosure, and the property rights associated with the records. Many of these factors could support heightened Fourth Amendment protection for health information. This Article argues that Carpenter v. United States provides additional protections for future searches of health information in private databases.


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