scholarly journals Stone Works Valuation within Immovable Cultural Heritage Monuments Restoration

2021 ◽  
Vol 1203 (2) ◽  
pp. 022042
Author(s):  
Petra Fučíková ◽  
Alena Tichá ◽  
Zuzana Mrňová ◽  
Jan Tichý
Keyword(s):  
Cultural Heritage ◽  
Historic Buildings ◽  
Systematic Classification ◽  
Decorative Art ◽  
Architectural Features ◽  
Historic Structures ◽  
Restoration Work ◽  
Processing Techniques

Abstract Historic buildings and their stone parts represent both specific functional architectural features of constructions and important aspects of the cultural heritage. They provide important and valuable proof of development, style, and architecture, level of decorative art, and material processing techniques. However, these historic buildings need restoration so that their legacy can be preserved for future generations. The quality of restoration work tends to be closely related to work price. At present, however, prices for the restoration of stone parts of historic buildings are determined intuitively, based on their complexity, uniqueness, and specificity of restoration work. The valuation of restoration work is therefore carried out mainly by the private sector, based on the experience of individual budgeters and restorers. Due to the fact that the limits of the maximum and minimum scope of individual actions are not set, incorrect valuation can occur, which, in the case of subsequent implementation, may damage, or even in fact damages, the restoration activity as such. Based on this, the article deals with valuation of stone works restoration in real historic structures. It introduces and describes the proposal for systematic classification of these types of work, the procedure for setting standards for time units and consequently the proposal of formula structure for calculating costs and prices. The aim of the article is to introduce the use of standardised procedures for pricing of stone works restoration and thereby create a comparative and cost bases in order to make a qualified choice of restoration specialists.

scholarly journals PROBLEMATIC ISSUES OF CULTURAL HERITAGE VALUATION OF MONUMENTS

2020 ◽  
pp. 477-485
Author(s):  
I. Herasymenko ◽  
S. Maksymov
Keyword(s):  
Urban Planning ◽  
Cultural Heritage ◽  
Regulatory Framework ◽  
Intangible Asset ◽  
Decorative Art ◽  
Current State ◽  
High Investment ◽  
Restoration Work ◽  
The Cost

The article analyzes the current state of the regulatory framework governing the valuation of cultural monuments, in particular, the Monetary Valuation of Monuments approved by the Cabinet of Ministers of Ukraine dated September 26, 2002 No. 1447. The classification of conservation categories by a monument (national and local significance) and types of monuments (archeology, history, monumental art, architecture and urban planning, landscape gardening art, historical landscape, science and technology) is given. The main problem in determining the value of monuments is to take into account not only the material factors of the monuments and its degree of wear, but also the consideration of its intangible factors, such as its historical, social, artistic value, the presence of objects of decorative art. That is, the cost of buildings-monuments of cultural heritage is formed: – due to the cost of the material “carrier” (land with improvements in the form of buildings, structures, small forms, etc.); – due to the value of the contribution of the intangible asset to the carrier. The article also describes the main problems that arise when assessing such objects (the presence of a monument’s status, the lack of an information base on market transactions, high operating costs, the need for restoration work, and high investment risks). The factors raising and lowering the value of a cultural heritage monument are characterized. Based on the analysis of the current regulatory framework, it was decided to develop practical recommendations for determining the value of real estate – monuments of architecture and urban planning, in particular built-in premises.

scholarly journals Rice Plant Disease Detection using Twin Support Vector Machine (TSVM)

2019 ◽  
Vol 7 ◽  
pp. 61-69
Author(s):  
Bikash Chawal ◽  
Sanjeev Prasad Panday
Keyword(s):  
Support Vector Machine ◽  
Binary Data ◽  
Twin Support Vector Machine ◽  
Support Vector ◽  
Prototype System ◽  
Crop Disease ◽  
Processing Techniques ◽  
Disease Epidemics

Crop disease epidemics can cause severe losses and affect agricultural products and food security especially in south Asian countries and Nepal where rice is enjoyed as a staple throughout the year. To achieve automatic diagnosis of crop disease the proposed system aims to develop a prototype system for detection of the paddy disease. Image recognition of the disease would be conducted based on Image Processing techniques to enhance the quality of the image and Twin Support Vector Machine (TSVM) technique to classify the paddy disease. The methodology involves image acquisition, pre-processing, analysis and classification of the paddy disease. All the paddy sample images will be passed through the RGB calculation before it proceeds to the binary conversion. If the sample is in the range of normal paddy RGB, then it is automatically classify as normal. Then, all the segmented paddy disease sample will be converted into the binary data in data base before proceed through the TSVM for training and testing. The proposed system is targeted to achieve better recognition results.

scholarly journals Development of the technique for automatic highlighting ranges of interest in lungs x-ray images

2019 ◽  
pp. 128-133
Author(s):  
N Yu Ilyasova ◽  
T A Chesnokova
Keyword(s):  
Window Size ◽  
Textural Properties ◽  
Image Clustering ◽  
Large Set ◽  
Segmentation Result ◽  
X Ray ◽  
Processing Techniques ◽  
The Relationship

In this paper, information technology has been developed for highlighting ranges of interest in lung x-ray images, based on the calculation of textural properties and classification of k-means. In some cases, the highlighted objects can describe not only the current patient’s condition but also specific characteristics regarding age, gender, constitution, etc. While using the k-means method, the relationship between the segmentation error and fragmentation window size was revealed. Within the study, both a visual criterion for evaluating the quality of the segmentation result and a criterion based on calculating the clustering error on a large set of fragmented images were implemented. The study also included image pre-processing techniques. Thus, the study showed that the technology provided key objects highlighting error at 26%. However, the equalizing procedure has lessened this error to 14%. X-ray image clustering errors for fragmentation windows of 12x12, 24x24 and 36x36 were presented.

scholarly journals The Potential Of Geomatics In The Realization Of A Map Of Desertification Sensitivity Southern Massif Belezma - Batna - (Algeria)

2015 ◽  
Vol XL-7/W3 ◽  
pp. 751-756 ◽  
Author(s):  
H. Benmessaoud ◽  
F. Chergui ◽  
R. Sahnouni ◽  
C. Chafai
Keyword(s):  
Weather Conditions ◽  
The North ◽  
Sustained Reduction ◽  
Highly Sensitive ◽  
North Eastern ◽  
Human Reality ◽  
Restoration Work ◽  
North Eastern Part

Desertification is the gradual and sustained reduction in the quantity and quality of the biological productivity of arid and semi-arid land. <br><br> The study area is located in the North Eastern part of Algeria, it has a rich heritage in its biodiversity, however weather conditions and adverse human reality, induce a degradation of the physical environment in the form of a regression of vegetation cover. To assess desertification in our study area map of desertification sensitivity is a tool for decision support. <br><br> For the realization of this Map we used the ArcGis software applied a methodology which is inspired by the concept MEDALUS (Mediterranean Desertification and Land Use, 1999) by crossing four thematic layers that may have an impact on the process of desertification. <br><br> The results of Cartography and statistical analysis permit the classification of our region in terms of sensitivity to desertification in four very important classes. (Not affected, Insensitive, Sensitive and highly sensitive). <br><br> More than 69.92% of the surface area were classified sensitive to very sensitive, For against 30.07% is classified in unallocated insensitive. <br><br> Planning restoration work and the fight against desertification are expected to limit the risk of desertification in the study area perspectives.

Efficient Noise Removal Based Relevant Vector Machine to Detect Lung Disease

2019 ◽  
Vol 16 (8) ◽  
pp. 3372-3377
Author(s):  
P. Dhanalakshmi ◽  
G. Satyavathy
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Research Work ◽  
Multiple Scale ◽  
Noise Removal ◽  
Semantic Gap ◽  
Linear Filters ◽  
Processing Techniques

The quality of images is decreased by noises. There exist several chances for the noises to occur while capturing and transmission the image. Noise removal becomes a thrust area of research in image processing. The outcome of the noise removal shows the quality of digital image processing techniques. Noises in image lead to the semantic gap problem in medical image processing. Semantic gap problem becomes a serious issue in the classification of the medical image. With the aim to overcome this issue, this research work proposes an efficient noise removal method based on relevant vector machine. Instead of using unsuited linear filters to detect noises, this research work uses the nonlinear filters which suit well to detect noises in multiple scale layers. The proposed method is applied to ADL dataset for the detection of lung cancer. The results clearly show that the proposed noise removal based relevant vector machine performs better in terms of accuracy.

scholarly journals Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 750
Author(s):  
Carmelo Militello ◽  
Leonardo Rundo ◽  
Salvatore Vitabile ◽  
Vincenzo Conti
Keyword(s):  
Deep Learning ◽  
Large Scale ◽  
Learning Approaches ◽  
Biometric Recognition ◽  
Fingerprint Classification ◽  
Model Efficiency ◽  
Experimental Findings ◽  
Processing Techniques

Biometric classification plays a key role in fingerprint characterization, especially in the identification process. In fact, reducing the number of comparisons in biometric recognition systems is essential when dealing with large-scale databases. The classification of fingerprints aims to achieve this target by splitting fingerprints into different categories. The general approach of fingerprint classification requires pre-processing techniques that are usually computationally expensive. Deep Learning is emerging as the leading field that has been successfully applied to many areas, such as image processing. This work shows the performance of pre-trained Convolutional Neural Networks (CNNs), tested on two fingerprint databases—namely, PolyU and NIST—and comparisons to other results presented in the literature in order to establish the type of classification that allows us to obtain the best performance in terms of precision and model efficiency, among approaches under examination, namely: AlexNet, GoogLeNet, and ResNet. We present the first study that extensively compares the most used CNN architectures by classifying the fingerprints into four, five, and eight classes. From the experimental results, the best performance was obtained in the classification of the PolyU database by all the tested CNN architectures due to the higher quality of its samples. To confirm the reliability of our study and the results obtained, a statistical analysis based on the McNemar test was performed.

scholarly journals RECORDING AND MODELING OF FORTRESSES AND CASTLES WITH UAS. SOME STUDY CASES IN JAEN (SOUTHERN SPAIN)

2016 ◽  
Vol XLI-B5 ◽  
pp. 207-214
Author(s):  
J. Cardenal ◽  
J. L. Pérez ◽  
E. Mata ◽  
J. Delgado ◽  
J. M. Gómez-López ◽  
...  
Keyword(s):  
Low Cost ◽  
Ground Level ◽  
Southern Spain ◽  
Architectural Features ◽  
Historical Heritage ◽  
Processing Techniques ◽  
Oblique Convergent ◽  
Vertical Development ◽  
Earth Walls

The province of Jaen (Southern Spain) has one of the largest concentrations of medieval fortresses of all Europe. Moreover ancient Iberian settlements located in <i>oppida</i> (fortified villages) and dated at VI-IV BC also are outstanding examples of historical heritage landmarks in the region. Most of these places are being restored or under documentation analysis to prevent their progressive deterioration. These places have several geometric characteristics in common, such as isolated locations, elongated shapes, largemedium size objects (in the order of tens to few hundred of meters), architectural features with vertical development (such as masonry or rammed earth walls, towers, gates, battlements, etc) or without it (walls, buildings or paths layouts at ground level). The object size, the required level of details and accuracy (of the order of some few cm) and both vertical and horizontal features imply that present UAS techniques can be advantageously used with respect to conventional aerial and terrestrial photogrammetric techniques. Vertical stereoscopic and oblique convergent UAS photogrammetric networks combined with processing techniques based on Structure from Motion (SfM) algorithms allow detailed low cost 2D/3D products. The proper selection of the UAS, camera, image acquisition mode (stop and/or cruising), the network and the processing software will determine the quality of final products and their usefulness in metric documentation, 3D modelization or museology. The efficiency of the use of UAS has been analyzed in several selected examples in Jaen (Burgalimar and Berrueco castles, Xth and XIIIth centuries, respectively, and the Iberian Puente Tablas oppidum, Vth-IVth centuries BC).

scholarly journals Detection and Restoration of Cracked Digitized Paintings and Manuscripts using Image Processing - A Survey

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Nawafil Abdulwahab Ali ◽  
Imad Fakhri Taha Al Shaikhli
Keyword(s):  
Image Processing ◽  
Image Processing Techniques ◽  
Original State ◽  
Drying Up ◽  
Processing Techniques

Abstract— The restoration of paintings and manuscripts is defined as the process of restoring old and damaged artworks and documents exhibiting cracks. Cracks are caused by three factors; aging, drying up of painting material, and mechanical. It is necessary that cultural heritages be restored to their original or a near-original state. To enhance the overall quality of the image, there are different techniques and methodologies that can be used for conservation and restoration. The main objective of this study is to analyse techniques and methodologies that have been developed for the detection, classification of small patterns, and restoration of cracks in digitized old painting and manuscripts. The purpose of this research is to present previous works on detection and restoration of cracks using image processing techniques and methodologies.

scholarly journals RECORDING AND MODELING OF FORTRESSES AND CASTLES WITH UAS. SOME STUDY CASES IN JAEN (SOUTHERN SPAIN)

2016 ◽  
Vol XLI-B5 ◽  
pp. 207-214
Author(s):  
J. Cardenal ◽  
J. L. Pérez ◽  
E. Mata ◽  
J. Delgado ◽  
J. M. Gómez-López ◽  
...  
Keyword(s):  
Low Cost ◽  
Ground Level ◽  
Southern Spain ◽  
Architectural Features ◽  
Historical Heritage ◽  
Processing Techniques ◽  
Oblique Convergent ◽  
Vertical Development ◽  
Earth Walls

The province of Jaen (Southern Spain) has one of the largest concentrations of medieval fortresses of all Europe. Moreover ancient Iberian settlements located in &lt;i&gt;oppida&lt;/i&gt; (fortified villages) and dated at VI-IV BC also are outstanding examples of historical heritage landmarks in the region. Most of these places are being restored or under documentation analysis to prevent their progressive deterioration. These places have several geometric characteristics in common, such as isolated locations, elongated shapes, largemedium size objects (in the order of tens to few hundred of meters), architectural features with vertical development (such as masonry or rammed earth walls, towers, gates, battlements, etc) or without it (walls, buildings or paths layouts at ground level). The object size, the required level of details and accuracy (of the order of some few cm) and both vertical and horizontal features imply that present UAS techniques can be advantageously used with respect to conventional aerial and terrestrial photogrammetric techniques. Vertical stereoscopic and oblique convergent UAS photogrammetric networks combined with processing techniques based on Structure from Motion (SfM) algorithms allow detailed low cost 2D/3D products. The proper selection of the UAS, camera, image acquisition mode (stop and/or cruising), the network and the processing software will determine the quality of final products and their usefulness in metric documentation, 3D modelization or museology. The efficiency of the use of UAS has been analyzed in several selected examples in Jaen (Burgalimar and Berrueco castles, Xth and XIIIth centuries, respectively, and the Iberian Puente Tablas oppidum, Vth-IVth centuries BC).

scholarly journals Classification of samples for comparative research

2019 ◽  
Vol 2019 (4) ◽  
pp. 153-157
Author(s):  
Elena Ivanova
Keyword(s):  
Comparative Research ◽  
Scientific Literature ◽  
Correct Choice ◽  
Empirical Knowledge ◽  
Systematic Classification ◽  
Scientific Methods ◽  
General Scientific ◽  
Made In

The article presents the classification of samples for comparative research, the study of which will contribute to the correct choice of a tactical method of obtaining them. The material also contains an analysis of the scientific literature related to the classification and systematization of the category in question; alternative grounds for dividing into groups are proposed. Classifying comparative samples, the author focuses on certain problems that practitioners face. Namely: the possibility of obtaining samples for a comparative research before the initiation of a criminal case, the validity of the use of coercion to obtain them, as well as the possibility of using comparative material obtained in the framework of operational search activities for expert studies. In preparing the article, general scientific methods of empirical knowledge (comparison, description), general logical methods of analysis, synthesis, generalization, classification, as well as methods of system-structural analysis were used. The purpose of the study of the problems of obtaining samples is to provide a systematic classification of this category in order to improve the quality of crime investigation. The conclusions made in the article on issues related to obtaining comparative samples at the stage of pre-investigation check and the possibility of using samples obtained during operational search activities are logically presented in the proposed classification.

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