Distinguished Scientific Contribution Awards 1971.

1972 ◽  
Vol 27 (1) ◽  
pp. 56-69
Author(s):  
No authorship indicated
Keyword(s):  
Scientific Contribution

Distinguished Scientific Contribution Awards: 1969: Citation for Jean Piaget.

1970 ◽  
Vol 25 (1) ◽  
pp. 65-79
Author(s):  
No authorship indicated
Keyword(s):  
Jean Piaget ◽  
Scientific Contribution

Distinguished Scientific Contribution Awards: 1970.

1971 ◽  
Vol 26 (1) ◽  
pp. 77-90
Author(s):  
No authorship indicated
Keyword(s):  
Scientific Contribution

James Emmett Birren: Distinguished Scientific Contribution Award.

1968 ◽  
Vol 23 (12) ◽  
pp. 857-861
Author(s):  
No authorship indicated
Keyword(s):  
Scientific Contribution

Beatrice C. Lacey and John I. Lacey: Distinguished Scientific Contribution Award.

1977 ◽  
Vol 32 (1) ◽  
pp. 54-59
Author(s):  
No authorship indicated
Keyword(s):  
Scientific Contribution

Big Data in the Field of Civil Security Research

2016 ◽  
Vol 7 (1) ◽  
pp. 54-64 ◽  
Author(s):  
Julia Gonschorek ◽  
Anja Langer ◽  
Benjamin Bernhardt ◽  
Caroline Räbiger
Keyword(s):  
Big Data ◽  
Temporal Distribution ◽  
Tactical Planning ◽  
Fire Departments ◽  
Prevention Measures ◽  
Scientific Contribution ◽  
Security Research ◽  
Geovisual Analytics ◽  
The University ◽  
Selection Of

This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challenge is seen in Big Data: enormous amounts of data that exist now (or can be collected in the future) and whose variables are linked to one another. These analyses and visualizations can form a basis for strategic, operational and tactical planning, as well as prevention measures. The user-centered (geo-) visualization of fire brigade data accessible to the general public is a scientific contribution to the research topic 'geovisual analytics and geographical profiling'. It may supplement antiquated methods such as the so-called pinmaps as well as the areas of engagement that are freehand constructions in GIS. Considering police work, there are already numerous scientific projects, publications, and software solutions designed to meet the specific requirements of Crime Analysis and Crime Mapping. By adapting and extending these methods and techniques, civil security research can be tailored to the needs of fire departments. In this paper, a selection of appropriate visualization methods will be presented and discussed.

scholarly journals Striding towards Sustainability: A Framework to Overcome Challenges and Explore Opportunities through Industry 4.0

2021 ◽  
Vol 13 (9) ◽  
pp. 5232
Author(s):  
José Salvador da Motta Reis ◽  
Maximilian Espuny ◽  
Thaís Vieira Nunhes ◽  
Nilo Antonio de Souza Sampaio ◽  
Raine Isaksson ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Triple Helix ◽  
Sustainable Cities ◽  
Scientific Contribution ◽  
Government Organizations ◽  
Science Technology ◽  
Climate Action ◽  
Scopus Database ◽  
Smart Technologies ◽  
Bibliometric Studies

Sustainability 4.0 (S4.0) enables sustainable development through intelligent technologies to meet economic, environmental and social demands. The main objective of this article is to propose a framework for developing S4.0 in sectors of Triple Helix (TH) (Government, Organizations and Academy). The framework consists of benchmarking of policies and initiatives from the Science-Technology Scenario in S4.0 (STS-S4.0) and the author's experience. The STS-4.0 is a snapshot of relevant initiatives from the countries that performed best in science and technology in S4.0. This work uses the methods of bibliometric studies and content analysis of scientific articles from the Scopus database and patents publications from the Orbit database. This research resulted in a total of 19 propositions for developing sustainability through I4.0. Of these, eight are for Government, six for Organizations and five for Academy. The main scientific contribution of this work is to expand and deepen the recent block of knowledge on S4.0. As for the applied contribution, this work contributes to the conscious and sustainable development of humanity through the technological elements of I4.0, contributing to the achievement of the following SDGs proposed by the UN: 9 (Industries, Innovation and Infrastructure), 11 (Sustainable Cities and Communities) and 13 (Climate Action). The main novelty of this article is the creation of paths for Government, Organizations and Academy to interactively lead the development of global sustainability through the smart technologies of I4.0.

scholarly journals A Comparative UAV Forensic Analysis: Static and Live Digital Evidence Traceability Challenges

Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 42
Author(s):  
Fahad E. Salamh ◽  
Umit Karabiyik ◽  
Marcus K. Rogers ◽  
Eric T. Matson
Keyword(s):  
High Volume ◽  
Forensic Analysis ◽  
Digital Evidence ◽  
Incident Response ◽  
Scientific Contribution ◽  
Response Plan ◽  
Technical Challenges ◽  
And Control ◽  
The Impact ◽  
Categorization Model

The raising accessibility of Unmanned Aerial Vehicles (UAVs), colloquially known as drones, is rapidly increasing. Recent studies have discussed challenges that may come in tow with the growing use of this technology. These studies note that in-depth examination is required, especially when addressing challenges that carry a high volume of software data between sensors, actuators, and control commands. This work underlines static and live digital evidence traceability challenges to further enhance the UAV incident response plan. To study the live UAV forensic traceability issues, we apply the `purple-teaming’ exercise on small UAVs while conducting UAV forensic examination to determine technical challenges related to data integrity and repeatability. In addition, this research highlights current static technical challenges that could pose more challenges in justifying the discovered digital evidence. Additionally, this study discusses potential drone anti-forensic techniques and their association with the type of use, environment, attack vector, and level of expertise. To this end, we propose the UAV Kill Chain and categorize the impact and complexity of all highlighted challenges based on the conducted examination and the presented scientific contribution in this work. To the best of our knowledge, there has not been any contribution that incorporates `Purple-Teaming’ tactics to evaluate UAV-related research in cybersecurity and digital forensics. This work also proposes a categorization model that classifies the discovered UAV static and live digital evidence challenges based on their complexity and impact levels

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