1,720,966 research outputs found
Development of A Remote Water Property Testing System Using Raspberry PI 3 Platform For Mosquito Research
Mosquitoes are able to breed and lay eggs in almost any area where there is stagnant water such as permanent bodies of water such as lakes and ponds and temporary small bodies of water caused by heavy rainfall, river or lake runoff. The more deadly species that carry viruses such as West Nile, Dengu, and Zika, and parasites such as Malaria are the main threat to humans. The main methods of controlling these mosquito populations are: surveillance (the monitoring and tracking of mosquitoes and their egg laying), source reduction (removal of natural and man made standing water that attracts mosquitoes along with improving drainage systems in communities), and control of larvae/pupae and adult mosquitoes (controlled by larvicides, adulticides, screens on rain barrels, acoustic energy to kill larvae and growth regulators.)
This research includes developing a remote water property testing system that can be attached to a drone or other type of remote transportation to collect water quality data (temperature, water pH level, and dissolved oxygen level) and a sample of the body of water (small sample over a set course of time). The sample along with water quality data can be further used to aid in mosquito population control efforts. This would cut down on time, effort, and cost for researchers to send a single pilot to fly a drone to collect these data points and sample out of harms way
An Analysis of the Practicality of Hardware Acceleration for Lightweight Block Ciphers in a Field Programmable Gate Array
The Internet of Things (IoT) is prompting a rapid shift in the way that encryption is performed by resource-constrained devices. Embedded devices are unable to implement the same cipher algorithms that general-purpose computers use. This project aims to examine practical considerations for implementing lightweight block cipher algorithms in a field programmable gate array (FPGA) for the purpose of hardware acceleration of encryption for constrained devices. To do this, four block cipher algorithms were implemented. Three lightweight ciphers from ISO 29192-2 (Present, Clefia, and Lea) and the Advanced Encryption Standard (AES) were selected. In addition, the necessary logic to have them interface with another device such as a microcontroller was implemented. The effectiveness of the serial communication between the FPGA and microcontroller is examined using metrics such as data transmit speed and the maximum feasible clock speed. The performance is analyzed using metrics such as computation time, encryption throughput, power consumption, efficiency, and the number of logic units used
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Raspberry Pi 3 and Raspberry Pi 4 Based Micro-Kubernetes Clusters for Mosquito Research Applications
Infected female mosquitoes can be brutal to detect when they transmit diseases such as Dengue, Malaria, and other harmful diseases. One of the primary reasons that can cause these unpredictable infections is those female mosquitoes can become infected with illnesses when they come in contact with vertebrate blood. The rate of getting infected depends on the breeding site of the mosquitoes. The infected mosquitoes can lay hundreds of eggs in the breeding locations. The mosquitoes that are born from the infected mosquitoes can also be infected, allowing them to continue transmitting diseases to other victims. Hence, gathering and monitoring climate data and environmental conditions for mosquito research can be valuable in preventing mosquitoes from spreading diseases.
Users like mosquito researchers may need weather stations in various locations to obtain microclimate data. They may need an inexpensive and effective monitoring system for multiple sites. Researchers can achieve it by placing numerous remote data collection stations in various areas. Also, they can send the microclimate data (temperature, humidity, pressure, etc.) collected by the data collection stations to a cluster such as a customized Raspberry Pi-based cluster. This study aims to develop multiple clusters based on Raspberry Pi 3 B+ and Pi 4 B devices using Micro-Kubernetes as the distribution system. Each cluster will store data in a database, and the data will be able to be accessed in various ways, such as through an Android application and a website.
Android and web applications were developed and presented in this thesis for accessing the microclimate data. Also, microclimate data were compared between the specific locations and nearby weather stations. Lastly, the resource usage of the two proposed clusters was compared under a similar scenario. The results of this study show that the measurement data of the specific locations are more accurate than those from nearby weather stations. Also, cluster 2, with four Raspberry Pi 4 B boards, uses fewer resources in CPU and memory than cluster 1, with one Raspberry Pi 4 B and three Raspberry Pi 3 B+ boards
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Cache Design and Analysis for Mitigating Hardware Security in Multicore Systems
Security in computing systems has been considered one of the greatest challenges due to the ever changing threat landscape, the complexity of systems, the presence of vulnerabilities, and a multitude of other factors. Security issues can cause billion-dollar damage and can expose private information to the public. Hardware security, in particular, has become a new territory for exploitation, including the recent discovery of transient execution attacks such as Spectre and Meltdown. They reveal the perils of transient execution in modern processors with out-of-order (O3) and speculative execution. Consequently, numerous researchers are dedicated to improving the security of computing systems.
Furthermore, Spectre and Meltdown have reshaped memory safety. Historically, memory safety issues were attributed to software bugs and human errors, leading software security experts to develop defenses such as bound checking and sandboxing. However, it is crucial to recognize that transient instructions, arising from mispredicted branches, can bypass these software defenses, accessing privileged data and transmitting it through cache side channels.
In addition to hardware security, a program���s calling context serves crucial functions in various use cases like profiling, debugging, optimization, and security monitors. They rely on uniquely encoded calling contexts for easy identification and consistency across runs. Existing encoding methods often lack this uniqueness and consistency, requiring users to add additional steps for their needs.
To mitigate the transient execution attacks, we develop ReViCe, a secure cache design to get rid of the side effect so that cache side channel is no longer available. We introduce a victim cache to restore the cache states from misspeculation and a jitter to hide the existence of cache lines installed by speculative request. For memory safety, we present a uniform defense against both software and hardware memory safety violation by profiling and checking program invariants. We observe that most of the memory locations of a program are accessed by only a handful of instructions during normal executions. These "good" instructions can be formulated for the corresponding memory locations at the current calling context as invariants of the program. Based on the observation, we present WHISTLE which extends a CPU and cache design to profile and check invariants at runtime with reasonable overhead. Last, we identify an inefficiency of existing calling context encoding schemes used by WHISTLE and present a new calling context encoding (DCCE), a faster encoding scheme for clients to improve their runtime performance
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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