Computerized Paleographic Investigation of Hebrew Iron Age Ostraca

Radiocarbon ◽  
2015 ◽  
Vol 57 (2) ◽  
pp. 317-325 ◽  
Author(s):  
Shira Faigenbaum-Golovin ◽  
Arie Shaus ◽  
Barak Sober ◽  
Israel Finkelstein ◽  
David Levin ◽  
...  

This article surveys ongoing research of the Legibility Enhancement of Ostraca (LEO) team of Tel Aviv University in the field of computerized paleography of Hebrew Iron Age ink-written ostraca. We perform paleographic tasks using tools from the fields of image processing and machine learning. Several new techniques serving this aim, as well as an adaptation of existing ones, are described herein. This includes testing a range of signal-acquisition methodologies, out of which multispectral imaging and Raman spectroscopy have matured into imaging systems. In addition, we deal with semior fully automated facsimile construction and refinement, facsimile, and character evaluation, as well as the reconstruction of broken character strokes. We conclude with future research directions, addressing some of the long-standing epigraphic questions, such as the number of scribes in specific corpora or detection of chronological concurrences and inconsistencies.

Algorithms ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 146
Author(s):  
Andreas Emil Feldmann ◽  
Karthik C. Karthik C. S. ◽  
Euiwoong Lee ◽  
Pasin Manurangsi

Parameterization and approximation are two popular ways of coping with NP-hard problems. More recently, the two have also been combined to derive many interesting results. We survey developments in the area both from the algorithmic and hardness perspectives, with emphasis on new techniques and potential future research directions.


Author(s):  
Shahid Alam

As corporations are stepping into the new digital transformation age and adopting leading-edge technologies such as cloud, mobile, and big data, it becomes crucial for them to contemplate the risks and rewards of this adoption. At the same time, the new wave of malware attacks is posing a severe impediment in implementing these technologies. This chapter discusses some of the complications, challenges, and issues plaguing current malware analysis and detection techniques. Some of the key challenges discussed are automation, native code, obfuscations, morphing, and anti-reverse engineering. Solutions and recommendations are provided to solve some of these challenges. To stimulate further research in this thriving area, the authors highlight some promising future research directions. The authors believe that this chapter provides an auspicious basis for future researchers who intend to know more about the evolution of malware and will act as a motivation for enhancing the current and developing the new techniques for malware analysis and detection.


ARTis ON ◽  
2016 ◽  
pp. 42-53
Author(s):  
Ana Raquel Machado ◽  
Rosário Salema de Carvalho

The present article is the result of an ongoing research project and aims to draw attention to simulated azulejo frames. On the one hand, these decorative elements isolate the compositions, closing them in on themselves. On the other hand, simulated azulejo frames help integrate with the tile decoration they are part of, which in turn is part of a global decorative system in line with the concept of artistic totality typical of the Baroque period. This article will examine the various solutions that resort to this kind of frame, known as canvas-frame, including decorative elements, plastic compositions and their effects or consequences for the overall decorations. Finally, the focus will turn to future research directions, based on the systematic cataloguing of the known examples.


2021 ◽  
Author(s):  
Ankur Lohachab ◽  
Saurabh Garg ◽  
Muhammad Bilal Amin

<div><div><div><p>The current blockchain paradigm is being hailed as an unquenchable goal to develop Hyperledger Fabric (HF)-based applications, resulting in a set of substantial enterprises shifting their networking operations, as intriguing consortia to plug the permissioned-nature of blockchain-based computing. While this practice endeavors to fundamentally revolutionize industries, one of the unavoidable problems that emerge is a lack of communication among autonomous HF-based networks, which can hinder the ongoing research landscape and consequently, have detrimental effects on its adoption. Towards this, blockchain interoperability (BI) has been heralded as the underlying concept by which communication can be derived through locating an inter-connection bridge. Considering BI’s significant traction, this paper introduces a new methodological approach to deal with the disparate nature of HF-based networks, termed OClient, for embracing two different interoperabilities (inter-network and inter-chain). This approach strategically tunes the inner working of clients by providing the global information of HF network topology that extends their conventional role as a matching service provider for facilitating opportunistic communication, in contrast to the existing solutions where typically third-parties have been exploited as the intermediaries. The paper streamlines the discussion by putting forth a pragmatic multi-HF (MHF) network scenario to formulate the disconnectivity problem, followed by constructing interaction-path-based graphs and conducting rigorous simulations. More importantly, this paper manifests experimental examples and corresponding results, providing insights across various dimensions of client-level interoperability so as to understand the impact on performance for combinations of inter-network and inter-chain scenarios. Succinctly, the results demonstrate that OClient is close to the performance of autonomous HF networks, which makes it a useful approach. Besides, this paper strives to understand how the adopted failure strategy to maintain ledger consistency contributes to performance and finally, concludes by anticipating significant future research directions towards HF interoperability.</p></div></div></div>


2021 ◽  
Author(s):  
Ankur Lohachab ◽  
Saurabh Garg ◽  
Muhammad Bilal Amin

<div><div><div><p>The current blockchain paradigm is being hailed as an unquenchable goal to develop Hyperledger Fabric (HF)-based applications, resulting in a set of substantial enterprises shifting their networking operations, as intriguing consortia to plug the permissioned-nature of blockchain-based computing. While this practice endeavors to fundamentally revolutionize industries, one of the unavoidable problems that emerge is a lack of communication among autonomous HF-based networks, which can hinder the ongoing research landscape and consequently, have detrimental effects on its adoption. Towards this, blockchain interoperability (BI) has been heralded as the underlying concept by which communication can be derived through locating an inter-connection bridge. Considering BI’s significant traction, this paper introduces a new methodological approach to deal with the disparate nature of HF-based networks, termed OClient, for embracing two different interoperabilities (inter-network and inter-chain). This approach strategically tunes the inner working of clients by providing the global information of HF network topology that extends their conventional role as a matching service provider for facilitating opportunistic communication, in contrast to the existing solutions where typically third-parties have been exploited as the intermediaries. The paper streamlines the discussion by putting forth a pragmatic multi-HF (MHF) network scenario to formulate the disconnectivity problem, followed by constructing interaction-path-based graphs and conducting rigorous simulations. More importantly, this paper manifests experimental examples and corresponding results, providing insights across various dimensions of client-level interoperability so as to understand the impact on performance for combinations of inter-network and inter-chain scenarios. Succinctly, the results demonstrate that OClient is close to the performance of autonomous HF networks, which makes it a useful approach. Besides, this paper strives to understand how the adopted failure strategy to maintain ledger consistency contributes to performance and finally, concludes by anticipating significant future research directions towards HF interoperability.</p></div></div></div>


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