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Extracting information about emerging events in large study areas through spatiotemporal and textual analysis of geotagged tweets provides the possibility of monitoring the current state of a disaster. This study proposes dynamic spatio-temporal tweet mining as a method for dynamic event extraction from geotagged tweets in large study areas. It introduces the use of a modified version of ordering
Rwanda has undertaken a land registration and titling program since 2008 with a registration of 10.3 million land parcels in 2013. The aim of this paper is to investigate the early effects of the program on tenure security and agricultural investments since few studies have been carried out in this research area. The study was undertaken in Musanze district in Northern Rwanda, with specific focus
No-tillage (NT) practice is extensively adopted with aims to improve soil physical conditions, carbon (C) sequestration and to alleviate greenhouse gases (GHGs) emissions without compromising crop yield. However, the influences of NT on GHGs emissions and crop yields remains inconsistent. A global meta-analysis was performed by using fifty peer-reviewed publications to assess the effectiveness of
Continuously indexed Gaussian fields (GFs) is the most important ingredient in spatial statistical modelling and geo-statistics. The specification through the covariance function gives an intuitive interpretation of its properties. On the computational side, GFs are hampered with the "big-n" problem, since the cost of factorising dense matrices is cubic in the dimension. Although the computational
This article presents a spiral process model for an iterative case study on quality monitoring, conducted in an industrial environment. In a highly iterative project, everything seems to happen at the same time: analysis, design and testing. We propose a spiral process model for case studies, and present a study conducted according to the proposed process. In the study, metrics collected from thre
Well before large-scale quantum computers will be available, traditional cryptosystems must be transitioned to post-quantum (PQ) secure schemes. The NIST PQC competition aims to standardize suitable cryptographic schemes. Candidates are evaluated not only on their formal security strengths, but are also judged based on the security with regard to resistance against side-channel attacks. Although r
In this paper, we propose the first key-recovery side-channel attack on Classic McEliece, a KEM finalist in the NIST Post-quantum Cryptography Standardization Project. Our novel idea is to design an attack algorithm where we submit special ciphertexts to the decryption oracle that correspond to cases of single errors. Decoding of such ciphertexts involves only a single entry in a large secret perm
We present a constructive approach to bounded l2-gain adaptive control with noisy measurements for linear time-invariant scalar systems with uncertain parameters belonging to a finite set. The gain bound refers to the closed-loop system, including the learning procedure. The approach is based on forward dynamic programming to construct a finite-dimensional information state consisting of H-infinit
The practice of code review is widely adopted in industry and hasbeen studied to an increasing degree in the research community.However, the developer experience of code review has receivedlimited attention. Here, we report on initial results from a mixed-method exploratory study of the developer experience.
Control of crop pests by shifting host plant availability and natural enemy activity at landscape scales has great potential to enhance the sustainability of agriculture. However, mainstreaming natural pest control requires improved understanding of how its benefits can be realized across a variety of agroecological contexts. Empirical studies suggest significant but highly variable responses of n
