1,721,672 research outputs found
Investigating the bioenergy potential of invasive Reed Canary (Phalaris arundinacea) through thermal and kinetic analyses
No full textThe thermal conversion of biomass plays an important role in the development of energy reaping technologies and fire engineering. The study investigates the bioenergy potential of Reed Canary (Phalaris arundinacea) through investigating the combustion kinetics and thermal behavior. Reed Canary samples were collected from various rural areas of Ontario, Canada. Four heating rates (10, 20, 30, and 40 °C min^−1) were utilized to perform the thermal degradation analysis using a thermogravimetric analyzer. Three different stages were identified ranging from 25 °C to 800 °C in which major degradation stage had two regions from 210 °C to 530 °C where most of the biomass changed into products. Furthermore, iso-conversional models including Kissenger-Akahira-Sunose (KSA), Starink and Flynn–Wall–Ozawa (FWO) were used to evaluate the reaction kinetics such as the activation energy and the pre-exponential factor. The reported kinetics parameters demonstrate the promising potential of Reed Canary for bioenergy production. Moreover, the low cost and the abundance of Reed Canary facilitate the possibility of introducing the biomass as a cost efficient and environmentally friendly natural resource for renewable bioenergy production
Prioritization and Alert Fusion in Distributed IoT Sensors Using Kademlia Based Distributed Hash Tables
Full text linkDistributed intrusion detection systems (IDS) are primarily deployed across the network to
monitor, detect, and report anomalies, as well as to respond in real-time. Predominantly, an IDS is equipped
with a set of rules that it needs to infer to be able to perform efficient detection. However, reducing the
generation of false alarms is a major challenge in any IDS implementation. Additionally, the sheer number
of IoT devices that generate alarms in a moderately large sensor network may be overwhelming. In order to
reduce alarms, this paper contributes to the field by proposing an original framework that limits the number
of generated messages without compromising detection accuracy. The primary idea is to exploit mid-level
nodes called collectors where similar alerts are collected and analyzed independently. Priority is assigned to
each alert and similar alerts are fused to respective collectors for more informed decision making. In addition,
Kademlia based Distributed Hash Table (DHT) is used for efficient alert transportation and distributed fusion
of similar alerts. In order to minimize false alarm rate, event correlation is used to find similarity between
events fused by different detection sensors. The framework is implemented in a fog-based environment to
assess and evaluate the efficiency of the proposed system in edge network. The architecture is evaluated with
the recognized DARPA 1999 dataset; the reported results show that the proposed technique reduces message
generation by 62% while achieving false positive accuracy over 80%
Survey data to identify the selection criteria used by breeders of four strains of Pakistani beetal goats
No full textThis article presents raw data from a survey conducted to identify the selection criteria of breeders raising either of four strains of Beetal goats, namely Beetal Faisalabadi, Beetal Makhi-Cheeni, Beetal Nuqri, and Beetal Rahim Yar Khan. After a pre-survey, a questionnaire was developed and a survey was conducted at four sites of the Punjab province of Pakistan: Faisalabad/Sahiwal, Bahawalpur/Bahawalnagar, Rajanpur, and Rahim Yar Khan. Each of these sites was the home tract of one strain. During the survey breeders (n = 162) were asked to rank the traits of their selection criteria based on the relative importance of those traits. Furthermore, the prevailing production system was also characterized by the breeders. For the interpretation of the results of this survey the readers are referred to Ref. [1]. The raw data set provided in this article can be extended in the future to include more strains of Beetal goats as well as other goat breeds. The selection criteria of breeders can change over time. This data set can also be used in future studies to investigate the temporal changes in the relative importance of different traits for the breeders. The factors potentially influencing those changes can also be investigated. This data set can further be utilized to design community based breeding plans tailored to the needs of the goat farming community.Open-Access-Publikationsfonds 202
Breeding objectives and selection criteria for four strains of Pakistani Beetal goats identified in a participatory approach
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
- …
