The Consumer Knowledge Gap in Digital Photography

ABSTRACTÂ This article aims at deepening the possibility of utilizing the art of photography that is rich of sig- nificance of the socio-cultural representation. The visual ethnographic field or photo-ethnography, which is relatively new, can provide assistance and answer for this. Therefore, the author has tried a form of collaboration between the photo-ethnographic approach and the sense approach in doing his research on the subject in order to obtain the deep understanding and the truth significance attached to them. The method of digital photography art creation which is intuitively the basis of the art cre- ation in digital domain, then was tried to be formulated, based on heuristics research in the process of the art of digital photography. This concept was developed from the experience in the field of digital photography and visual anthropology, guided by the basic theories of creativity, quantum theory in art, and theory of artistic creation that has existed before. Through emotional approach as a method, along with the structured systematic approach of photo-ethnography and with the deep awareness of the environment and social life of the subject leads to the creation of the image that tends to be better and more meaningful, more productive in a social sense, and offers a credible empiric documentation.Â Keywords: photo-ethnography, photography art worksÂ Â ABSTRAKÂ Artikel ini dibuat dalam upaya melakukan pendalaman mengenai kemungkinan peman- faatan seni fotografi yang kaya makna representasi sosio-kultural. Bidang etnografi visual atau foto-etnografi yang relatif masih baru, dapat memberikan bantuan dan jawaban un- tuk hal ini. Oleh karena itu penulis mencoba suatu bentuk kolaborasi antara pendekatan foto-etnografi dengan pendekatan rasa ketika melakukan penelitian terhadap subjek agar diperoleh pemahaman mendalam serta makna kebenaran yang menyertainya. Metode penciptaan seni fotografi digital yang merupakan dasar dari penciptaan seni secara intu- itif dalam domain digital, kemudian dicoba dirumuskan, berdasarkan penelaahan heu- ristik dalam proses seni fotografi digital. Konsep ini dikembangkan dari pengalaman di bidang fotografi digital dan antropologi visual, dipandu oleh teori-teori dasar kreativitas, teori kuantum dalam seni, dan teori penciptaan seni yang telah ada sebelumnya. Melalui pendekatan emosional sebagai metode, disertai dengan pendekatan sistematis yang ter- struktur dari foto-etnografi dan dengan kesadaran yang mendalam mengenai lingkungan dan kehidupan sosial subjek mengarah pada penciptaan gambaran yang cenderung lebih baik dan lebih bermakna, lebih produktif dalam arti sosial, dan menawarkan dokumentasi empiris yang kredibel.Â Kata kunci: foto-etnografi, karya seni fotografi

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Mapping and Monitoring of the Land Use/Cover Changes in the Wider Area of ltanos, Crete, Using Very High Resolution EO Imagery With Specific Interest in Archaeological Sites

10.31219/osf.io/3vrth ◽

2019 ◽

Cited By ~ 1

Author(s):

Sawyer Reid stippa ◽

George Petropoulos ◽

Leonidas Toulios ◽

Prashant K. Srivastava

Keyword(s):

High Resolution ◽

Spatial Resolution ◽

Satellite Images ◽

Archaeological Site ◽

Digital Photography ◽

Archaeological Sites ◽

Large Area ◽

High Resolution Imagery ◽

Site Mapping ◽

Rule Sets

Archaeological site mapping is important for both understanding the history as well as protecting them from excavation during the developmental activities. As archaeological sites generally spread over a large area, use of high spatial resolution remote sensing imagery is becoming increasingly applicable in the world. The main objective of this study was to map the land cover of the Itanos area of Crete and of its changes, with specific focus on the detection of the landscape’s archaeological features. Six satellite images were acquired from the Pleiades and WorldView-2 satellites over a period of 3 years. In addition, digital photography of two known archaeological sites was used for validation. An Object Based Image Analysis (OBIA) classification was subsequently developed using the five acquired satellite images. Two rule-sets were created, one using the standard four bands which both satellites have and another for the two WorldView-2 images their four extra bands included. Validation of the thematic maps produced from the classification scenarios confirmed a difference in accuracy amongst the five images. Comparing the results of a 4-band rule-set versus the 8-band showed a slight increase in classification accuracy using extra bands. The resultant classifications showed a good level of accuracy exceeding 70%. Yet, separating the archaeological sites from the open spaces with little or no vegetation proved challenging. This was mainly due to the high spectral similarity between rocks and the archaeological ruins. The satellite data spatial resolution allowed for the accuracy in defining larger archaeological sites, but still was a difficulty in distinguishing smaller areas of interest. The digital photography data provided a very good 3D representation for the archaeological sites, assisting as well in validating the satellite-derived classification maps. All in all, our study provided further evidence that use of high resolution imagery may allow for archaeological sites to be located, but only where they are of a suitable size archaeological features.

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Knowledge gap revisited

10.31979/etd.8q8e-prfn ◽

1994 ◽

Author(s):

Lee Susan Bilodeau

Keyword(s):

Knowledge Gap

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Survey of Similarity-Based Prediction of Drug-Protein Interactions

Current Medicinal Chemistry ◽

10.2174/0929867326666190808154841 ◽

2020 ◽

Vol 27 (35) ◽

pp. 5856-5886 ◽

Cited By ~ 4

Author(s):

Chen Wang ◽

Lukasz Kurgan

Keyword(s):

Computational Methods ◽

Protein Interactions ◽

Future Development ◽

High Impact ◽

Therapeutic Protein ◽

Knowledge Gap ◽

Therapeutic Activity ◽

Drug Molecule ◽

Protein Targets ◽

Predictive Tools

Therapeutic activity of a significant majority of drugs is determined by their interactions with proteins. Databases of drug-protein interactions (DPIs) primarily focus on the therapeutic protein targets while the knowledge of the off-targets is fragmented and partial. One way to bridge this knowledge gap is to employ computational methods to predict protein targets for a given drug molecule, or interacting drugs for given protein targets. We survey a comprehensive set of 35 methods that were published in high-impact venues and that predict DPIs based on similarity between drugs and similarity between protein targets. We analyze the internal databases of known PDIs that these methods utilize to compute similarities, and investigate how they are linked to the 12 publicly available source databases. We discuss contents, impact and relationships between these internal and source databases, and well as the timeline of their releases and publications. The 35 predictors exploit and often combine three types of similarities that consider drug structures, drug profiles, and target sequences. We review the predictive architectures of these methods, their impact, and we explain how their internal DPIs databases are linked to the source databases. We also include a detailed timeline of the development of these predictors and discuss the underlying limitations of the current resources and predictive tools. Finally, we provide several recommendations concerning the future development of the related databases and methods.

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