• ETRI Journal
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• v.42 no.1
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• pp.90-100
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• 2020

Named entity recognition (NER) continues to be an important task in natural language processing because it is featured as a subtask and/or subproblem in information extraction and machine translation. In Urdu language processing, it is a very difficult task. This paper proposes various deep recurrent neural network (DRNN) learning models with word embedding. Experimental results demonstrate that they improve upon current state-of-the-art NER approaches for Urdu. The DRRN models evaluated include forward and bidirectional extensions of the long short-term memory and back propagation through time approaches. The proposed models consider both language-dependent features, such as part-of-speech tags, and language-independent features, such as the "context windows" of words. The effectiveness of the DRNN models with word embedding for NER in Urdu is demonstrated using three datasets. The results reveal that the proposed approach significantly outperforms previous conditional random field and artificial neural network approaches. The best f-measure values achieved on the three benchmark datasets using the proposed deep learning approaches are 81.1%, 79.94%, and 63.21%, respectively.

• Acta Via Serica
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• v.7 no.2
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• pp.89-108
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• 2022

Since the most ancient times, lapis lazuli had been used for luxury goods such as jewelry and seals, to embellish sculptures and weapons or the precious objects of tombs, such as the golden mask of Tutankhamon or the famous "Standard" of the royal cemetery of Ur. Much more recent seems to be its frequent use as a pigment in wall paintings or polychrome stucco. In this article, the question of the sources for this extremely rare mineral is briefly discussed and the places proposed by ancient scholars as deposits of the mineral are presented and examined. The information provided in the medieval Arabic and Persian scientific literature has been considered and compared with the data of our modern geological knowledge. A list of sites in Central Asia, the Middle East, and India with lapis lazuli occurrence on wall paintings illustrate its wide use in different artistic cultures and periods between the 2nd and 10th centuries C.E. These cultures are in fact different in ethnic and linguistic origin and in the religious, economic, and social sphere, but closely interconnected by common pan-regional artistic traditions in style, materials, and techniques employed. A case study investigated by the authors in the Friday Mosque of Iṣfahān gives an example of the use of lapis lazuli pigment in Islamic wall paintings and stuccoes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.105-125
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• 2024

Gliomas are the most common malignant brain tumor and cause the most deaths. Manual brain tumor segmentation is expensive, time-consuming, error-prone, and dependent on the radiologist's expertise and experience. Manual brain tumor segmentation outcomes by different radiologists for the same patient may differ. Thus, more robust, and dependable methods are needed. Medical imaging researchers produced numerous semi-automatic and fully automatic brain tumor segmentation algorithms using ML pipelines and accurate (handcrafted feature-based, etc.) or data-driven strategies. Current methods use CNN or handmade features such symmetry analysis, alignment-based features analysis, or textural qualities. CNN approaches provide unsupervised features, while manual features model domain knowledge. Cascaded algorithms may outperform feature-based or data-driven like CNN methods. A revolutionary cascaded strategy is presented that intelligently supplies CNN with past information from handmade feature-based ML algorithms. Each patient receives manual ground truth and four MRI modalities (T1, T1c, T2, and FLAIR). Handcrafted characteristics and deep learning are used to segment brain tumors in a Global Convolutional Neural Network (GCNN). The proposed GCNN architecture with two parallel CNNs, CSPathways CNN (CSPCNN) and MRI Pathways CNN (MRIPCNN), segmented BraTS brain tumors with high accuracy. The proposed model achieved a Dice score of 87% higher than the state of the art. This research could improve brain tumor segmentation, helping clinicians diagnose and treat patients.

• Advances in aircraft and spacecraft science
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• v.9 no.2
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• pp.119-130
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• 2022

Supersonic projectiles like rockets, missiles, or aircraft find various applications in the field of defense. The shape of the wings is mainly designed as wedge shape or delta wings for supersonic vehicles. The study of supersonic flows over the wedges and flat plate delta wings around the large scale of incidence angle is considered in the supersonic projectile. In the present paper, the prime attention is to study the pressure at the nose of the plane wedge over the various Mach number and the various angles of incidence. Ghosh piston theory is used to obtain the pressure distribution analytically, and the results are compared with CFD analysis results. The wedge angle and Mach number are the parameters considered for the research work. The range of wedge angle is 50 to 250, and Mach number is 1.5 to 4.0 are considered for the current research work. The analytical results show excellent agreement with the CFD results. The results show that both the parameters wedge angle and Mach number are influential parameters to vary the static pressure. The static pressure increases with an increase in Mach number and wedge angle.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.31-39
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• 2019

Nowadays, recommender systems suggest lists of items to users considering not only accuracy but also diversity and novelty. However, suggesting the most diverse list of items to all users is not always acceptable, since different users prefer and/or tolerate different degree of diversity. Hence suggesting a personalized list with a diversity degree considering each user preference would improve the efficiency of recommender systems. The main contribution and novelty of this study is to tune the diversity degree of the recommendation list based on the users' variety-seeking feature, which ultimately leads to users' satisfaction. The proposed approach considers the similarity of users' desire diversity as a new parameter in addition to the usual similarity of users in the state-of-the-art collaborative filtering algorithm. Experimental results show that the proposed approach improves the personal diversity criterion comparing to the closest method in the literature, without decreasing accuracy.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.223-227
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• 2021

A treatment based on the algebraic operations on fuzzy numbers is used to replace the fuzzy problem into an equivalent crisp one. The finite difference technique is used to replace the continuous boundary value problem (BVP) of arbitrary order 1<α≤2, with fuzzy boundary parameters into an equivalent crisp (algebraic or differential) system. Three numerical examples with different behaviors are considered to illustrate the treatment of the singular perturbed case with different fractional orders of the BVP (α=1.8, α=1.9) as well as the classical second order (α=2). The calculated fuzzy solutions are compared with the crisp solutions of the singular perturbed BVP using triangular membership function (r-cut representation in parametric form) for different values of the singular perturbed parameter (ε=0.8, ε=0.9, ε=1.0). Results are illustrated graphically for the different values of the included parameters.

• Steel and Composite Structures
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• v.53 no.1
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• pp.115-121
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• 2024

The present paper deals with a comprehensive study about dynamic performance and educational economic assessment of nanocomposite structures, while it focuses on truncated conical shells. Advanced structure dynamic behavior has been analyzed by means of AI techniques, which allow one to predict and optimize their performances with good accuracy for different loading and environmental conditions. The incorporation of the AI method significantly enhances the computational efficiency and is a powerful tool in designing nanocomposites and for their structural analysis. Further, an educational assessment is provided in the context of cost and practicality related to such structures in engineering education. This study showcases the capabilities of AI-enabled methods with regard to cost reduction, improvement of structural efficiency, and enhancement of learning engagement for students through certain practical examples on state-of-the-art nanocomposite technology. The results also confirm a remarkable capability of artificial intelligence regarding the optimization of both dynamic and economic aspects, which could be highly valued for further development of nanocomposite structures.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.275-285
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• 2020

The purpose of this study is to explore the Iranian Woman Film Director Samira Makhmalbaf and her cinema world. Samira represents Iranian Islamic social problem base on her woman identity, and She is a symbolic director who is working Iranian new wave at the 21th. She has directed five movies as (1998), (2000), (2002), (2003), (2008). For this study, explore traits of esthetics, subject and context meaning by analyzing representative three movies. Lastly examines significance of his movies in Iranian film history. In terms of esthetics, she tends to combinate between metaphor and reality, And, In thematic consciousness, consistently describes Islamic women's lives and liberty, anti-war and peace, sympathy for the under-privileged, etc. She inherits the tradition of Iranian third wave 'Children Cinema', and simultaneously tries to overcome Iranian art film tradition. Director Samira Makhmalbaf is a symbol of progress and change in Iranian film history, and is opening the new future of Iranian film.

• Korean Institute of Interior Design Journal
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• v.21 no.1
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• pp.211-219
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• 2012

I.M. Pei, 2nd generation Chinese immigrant to America, has been one of the most recognized architects who designs museum architecture through out the world for completing significant projects such as the East Building of National Gallery of Art(1068-78) as well as Le Grand Louvre Renovation(1983-89) to name a few. His museum architecture, in particular, reveals his detailed consideration on viewer's artistic experience by providing well balanced architecture design to support exhibiting objects while showing his sensitivity on overall functionality of space. In recent projects such as Miho Museum in Japan, Suzhou Museum of China, and Museum of Islamic Art of Qatar, reveals his growing interests in considering "local context" in museum architecture. Therefore, the purpose of this study is focused on analyzing I.M. Pei's three museum projects having its concept focused on local context. Through out the paper, above mentioned museums were analyzed and compared to summarize his design characters and concept including site plan, spatial organization and architectural form. As a result, it is evident that I.M. Pei had put full effort to apply oriental context with modernism through out his museums. In particular, his site plan, spatial organization, and architectural form shows visible connection to comply with nature which is fundamental idea in oriental philosophy. While his basic design philosophy has been borrowed from the tradition, his ultimate design concept shows nature friendliness as well as theoretical system of thoughts and emotion and most of all, his design excellency in representing local context.

• The Research Journal of the Costume Culture
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• v.2 no.1
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• pp.1-27
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• 1994

This result of the study on the costume of Osman Turkey are as following. 1. Empire of Osman Turkey(129∼1922) exerted an almost limites impact and influence on Europe and Asia during their regime 600 years. The distant ancestors of the Osman Turks were nomadic peoples, who wandered I tribal groups through the Central Asia. Therefore their costumes were based on nomadic culture. They had trade with West and East were influenced by Hellenism and Byzantium and grew, to a strong Islamic political power polygamy with which influence their clothing along with other culture. 2. Topkapi Saray was one of he principal residences of the Osman sultans and his court. Late 17 century, Topkapi Saray found many of kaftans of Osman Turks Empires of 14∼17 centuries. Otherwise we studied by the minatures of 16∼17 centuries, Since the Topkapi Saray became a museum in 1924, a program of careful restoration has made it possible to some pars of it to the public, after centuries neglection. 3. Osman Turkey Empire had important role in between West and East(silk-road). Economic, commercial, social and political factor of Turkey led to a development in the art of weaving (kema, kadife, catman, seraser, zerbeft, hatayi, kntnu, atlas)parallel to the rise and development of the Osman Turkey Empire itself, one which raised the art to a level attained nowwhere else in the world. Fabrics woven from gold and silver thread occupied a very important place in the court life of the time. This was due as much to their symbolic as to their material value, reflecting as they did the power, glory and magnificence of the Empire. 4. In order to study Eastern or Western history of costume one must study Turkey history of costume in advance. Also there is a great need of comparison to study of western, central and north eastern area history of costume.