• 한국중재학회지:중재연구
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• 제18권1호
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• pp.49-69
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• 2008

This study is to analyze the case law on the disputes of the ex-im contract of steel bar from Yugoslav to Egypt, for which awards were made by the ICC Arbitration Court, trying to find out the characteristic approach of the tribunal toward arbitration case dealing with socialistic country, Yugoslav and Islamic Egypt. An Egyptian importer and an Yugoslavian Exporter concluded a contract, with an option to purchase an additional quantity. for the steel bar. The importer exercised this option as provided in the contract. But the exporter refused to honor the option, due to the fact that the world market price for the steel bar has gone up. As a result, the importer had to purchase the steel bar as a replacement from a Rumanian company at the price higher than the original contract. And it has initiated arbitration under the arbitration clause at the ICC Arbitration Court to claim compensation for the loss due to the price difference. CISG and ULIS were closely studied along with the Yugoslav Law to determine whether the exporter could be exempted from the liability to damages. But the tribunal denied to accept the exporter's contention. The tribunal decided that the importer was entitled to damages due to the exporter's failure to deliver the additional quantity of goods at the original price. It was due to the fact that the price increase was not extremely sudden & high enough to exceed a reasonable entrepreneurial risk and also could be taken into account when concluding the contract.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.288-296
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• 2021

Automated face recognition in a runtime environment is gaining more and more important in the fields of surveillance and urban security. This is a difficult task keeping in mind the constantly volatile image landscape with varying features and attributes. For a system to be beneficial in industrial settings, it is pertinent that its efficiency isn't compromised when running on roads, intersections, and busy streets. However, recognition in such uncontrolled circumstances is a major problem in real-life applications. In this paper, the main problem of face recognition in which full face is not visible (Occlusion). This is a common occurrence as any person can change his features by wearing a scarf, sunglass or by merely growing a mustache or beard. Such types of discrepancies in facial appearance are frequently stumbled upon in an uncontrolled circumstance and possibly will be a reason to the security systems which are based upon face recognition. These types of variations are very common in a real-life environment. It has been analyzed that it has been studied less in literature but now researchers have a major focus on this type of variation. Existing state-of-the-art techniques suffer from several limitations. Most significant amongst them are low level of usability and poor response time in case of any calamity. In this paper, an improved face recognition system is developed to solve the problem of occlusion known as FRS-OCC. To build the FRS-OCC system, the color and texture features are used and then an incremental learning algorithm (Learn++) to select more informative features. Afterward, the trained stack-based autoencoder (SAE) deep learning algorithm is used to recognize a human face. Overall, the FRS-OCC system is used to introduce such algorithms which enhance the response time to guarantee a benchmark quality of service in any situation. To test and evaluate the performance of the proposed FRS-OCC system, the AR face dataset is utilized. On average, the FRS-OCC system is outperformed and achieved SE of 98.82%, SP of 98.49%, AC of 98.76% and AUC of 0.9995 compared to other state-of-the-art methods. The obtained results indicate that the FRS-OCC system can be used in any surveillance application.

• 영재교육연구
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• 제22권3호
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• pp.619-637
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• 2012

girih 타일링은 비주기적이면서도 규칙적인 구조를 가진 타일링으로, 최근 '이슬람 사원 장식에 숨어있는 수학의 비밀'로 주목받고 있다. 본 연구에서는 이를 소재로 하여 비주기적인 규칙성 안에 숨어 있는 수학이 만들어내는 유용성과 아름다움을 체험할 수 있는 초등 수학영재 프로그램을 개발 적용하고 그 결과를 분석하는 데 목적을 두었다. 개발한 초등수학영재 프로그램은 '이슬람 문양 속 girih의 비밀을 찾아서'이며, Renzulli의 3부 심화학습 형식에 따라 적용하였다. 이 프로그램은 대전광역시 유성구에 소재하고 있는 D 초등학교 5, 6학년 통합영재반 6명에게 적용한 결과를 토대로 수정, 보완 하였으며 개발된 프로그램 및 학습 자료는 초등수학영재 교육을 위한 소재 개발과 방법에 있어 도움이 될 것으로 기대한다.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제20권3호
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• pp.237-252
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• 2017

4차 산업혁명시대는 수학교육의 방향도 크게 흔들어 놓고 있다. 특히 수학이 다양한 영역에 어떻게 적용되고, 활용될 수 있는지 인식하는 융합 역량이 중요한 시점이다. 이에 본 연구에서는 융합에 대한 관점을 고찰하고, 수학교실에서 활용 가능한 융합 프로그램의 개발을 위한 수학적 탐색을 연구 목적으로 한다. 구체적으로 고대 이슬람 건축물에 사용된 기리 타일을 수학적 관점에서 분석하고, 이를 바탕으로 수학과 다자인 융합 교육을 위한 수학적 탐색을 실시한다. Roger Penrose 보다 500년이나 앞서 만든 기리 타일링의 수학적 분석을 통해 디자인에 대한 이해 및 수학의 활용성과 수학을 통한 타학문의 융합 가능성에 대한 이해의 폭이 넓어지기를 기대한다.

• Structural Engineering and Mechanics
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• 제62권3호
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• pp.365-372
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• 2017

Reliability analysis is a probabilistic approach to determine a safety level of a system. Reliability is defined as a probability of a system (or a structure, in structural engineering) to functionally perform under given conditions. In the 1960s, Basler defined the reliability index as a measure to elucidate the safety level of the system, which until today is a commonly used parameter. However, the reliability index has been formulated based on the pivotal assumption which assumed that the considered limit state function is normally distributed. Nevertheless, it is not guaranteed that the limit state function of systems follow as normal distributions; therefore, there is a need to define a new reliability index for no-normal distributions. The main contribution of this paper is to define a sophisticated reliability index for limit state functions which their distributions are non-normal. To do so, the new definition of reliability index is introduced for non-normal limit state functions according to the probability functions which are calculated based on the convolution theory. Eventually, as the state of the art, this paper introduces a simplified method to calculate the reliability index for non-normal distributions. The simplified method is developed to generate non-normal limit state in terms of normal distributions using series of Gaussian functions.

• Smart Structures and Systems
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• 제13권1호
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• pp.81-98
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• 2014

This paper presents the elastic buckling of smart lightweight column structures integrated with a pair of surface piezoelectric layers using artificial intelligence. The finite element modeling of Smart lightweight columns is found using $ANSYS^{(R)}$ software. Then, the first buckling load of the structure is calculated using eigenvalue buckling analysis. To determine the accuracy of the present finite element analysis, a compression study is carried out with literature. Later, parametric studies for length variations, width, and thickness of the elastic core and of the piezoelectric outer layers are performed and the associated buckling load data sets for artificial intelligence are gathered. Finally, the application of soft computing-based methods including artificial neural network (ANN), fuzzy inference system (FIS), and adaptive neuro fuzzy inference system (ANFIS) were carried out. A comparative study is then made between the mentioned soft computing methods and the performance of the models is evaluated using statistic measurements. The comparison of the results reveal that, the ANFIS model with Gaussian membership function provides high accuracy on the prediction of the buckling load in smart lightweight columns, providing better predictions compared to other methods. However, the results obtained from the ANN model using the feed-forward algorithm are also accurate and reliable.

• Acta Via Serica
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• 제3권2호
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• pp.107-134
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• 2018

This paper is an art historical attempt to discuss the transfer and transmission of a certain visual idiom along the Silk Roads and to show the multi-dimensionality of the trans-regional, trans-cultural movement. The motifs of grapes and grapevines are discussed here for this purpose, including the grape-and-vine motif mixed with other animated figures and plants. A special emphasis is on China and its reception, but regional varieties within East Asia are also discussed. The motif is one of the most longstanding and versatile visual idioms, widely distributed along the regions of the Silk Roads. This deceptively familiar motif came to China, where grapes and viticulture were introduced far later than the West. The West developed various symbolisms ranging from manic revelry and heavenly unity with mystic beings, to royalty and power in different cultures. In China, this visual idiom was eagerly received in association with something exotic and re-interpreted in the context of Chinese culture. Without active viticulture, the motif transformed itself into beautiful design patterns and space fillers in China and East Asia. The natural appeal of jewel-like grapes acquired new meanings of fertility and happiness in the traditional East Asian cultural context. To see the cultural effect of viticulture on the visualization of this motif, the Islamic reception of the motif is briefly touched upon when countries to the West of China (서역 西域) were fully Islamized and heavily affected by the prohibition of alcoholic drinking.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.193-201
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• 2023

In this paper, we consider the maximum scatter traveling salesman problem (MSTSP), a travelling salesman problem (TSP) variant. The problem aims to maximize the minimum length edge in a salesman's tour that travels each city only once in a network. It is a very complicated NP-hard problem, and hence, exact solutions can be found for small sized problems only. For large-sized problems, heuristic algorithms must be applied, and genetic algorithms (GAs) are found to be very successfully to deal with such problems. So, this paper develops a hybrid GA (HGA) for solving the problem. Our proposed HGA uses sequential sampling algorithm along with 2-opt search for initial population generation, sequential constructive crossover, adaptive mutation, randomly selected one of three local search approaches, and the partially mapped crossover along with swap mutation for perturbation procedure to find better quality solution to the MSTSP. Finally, the suggested HGA is compared with a state-of-art algorithm by solving some TSPLIB symmetric instances of many sizes. Our computational experience reveals that the suggested HGA is better. Further, we provide solutions to some asymmetric TSPLIB instances of many sizes.

• Geomechanics and Engineering
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• 제34권5호
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• pp.507-527
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• 2023

Accurately estimation of the geo-mechanical parameters in Artificial Ground Freezing (AGF) is a most important scientific topic in soil improvement and geotechnical engineering. In order for this, one way is using classical and conventional constitutive models based on different theories like critical state theory, Hooke's law, and so on, which are time-consuming, costly, and troublous. The others are the application of artificial intelligence (AI) techniques to predict considered parameters and behaviors accurately. This study presents a comprehensive data-mining-based model for predicting the Young's Modulus of frozen sand under the triaxial test. For this aim, several single and hybrid models were considered including additive regression, bagging, M5-Rules, M5P, random forests (RF), support vector regression (SVR), locally weighted linear (LWL), gaussian process regression (GPR), and multi-layered perceptron neural network (MLP). In the present study, cell pressure, strain rate, temperature, time, and strain were considered as the input variables, where the Young's Modulus was recognized as target. The results showed that all selected single and hybrid predicting models have acceptable agreement with measured experimental results. Especially, hybrid Additive Regression-Gaussian Process Regression and Bagging-Gaussian Process Regression have the best accuracy based on Model performance assessment criteria.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.40-52
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• 2024

Cyber-Physical Systems (CPS) are introduced as complex, interconnected systems that combine physical components with computational elements and networking capabilities. They bridge the gap between the physical world and the digital world, enabling the monitoring and control of physical processes through embedded computing systems and networked communication. These systems introduce several security challenges. These challenges, if not addressed, can lead to vulnerabilities that may result in substantial losses. Therefore, it is crucial to thoroughly examine and address the security concerns associated with CPS to guarantee the safe and reliable operation of these systems. To handle these security concerns, different existing security requirements methods are considered but they were unable to produce required results because they were originally developed for software systems not for CPS and they are obsolete methods for CPS. In this paper, a Security Requirements Engineering Methodology for CPS (CPS-SREM) is proposed. A comparison of state-of-the-art methods (UMLSec, CLASP, SQUARE, SREP) and the proposed method is done and it has demonstrated that the proposed method performs better than existing SRE methods and enabling experts to uncover a broader spectrum of security requirements specific to CPS. Conclusion: The proposed method is also validated using a case study of the healthcare system and the results are promising. The proposed model will provide substantial advantages to both practitioners and researcher, assisting them in identifying the security requirements for CPS in Industry 4.0.