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- Jermsittiparsert, Kittisak(20)
- Fahlevi, Mochammad(10)
- Aljuaid, Mohammed(9)
- Suanpang, Pannee(5)
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- Su, Tin Tin(2)
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- Zarbakhsh, Payam(2)
- Abeje, Tayachew A.(1)
- Abid, Khadijah(1)
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- Ahmad, Absar(1)
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- Aksoy, S.(1)
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- Akyüz, Ö.(1)
- Al Majzoub, Hisham(1)
- Al-Sumaiti, Ameena Saad(1)
- Aliyev, Fuzuli(1)
- Aljuaidi, Mohammed(1)
- Altinay, Fahriye(1)
- Altinay, Mehmet(1)
Yayınlar
- MakaleYalnız künye2021Yatırımcı-devlet tahkiminde devletlerin karşı davaları üzerinde saluka’nın etkisi
İlhan, Hüseyin Afşın
Devletlerin yabancı yatırım çekmek amacı ile yabancı yatırımcılara bazı teşvikler sunmaları gayet yaygındır. Bu teşviklerin bir parçası \rolarak genellikle devletler, yatırımcı ile aralarında doğabilecek uyuşmazlıkların uluslararası tahkimde görülmesine rıza göstermektedirler. \rEğer bu rıza, sadece yatırımcıya tahkime başvurmak hakkı verir şekilde \rdar kaleme alınmış bir tahkim şartında formüle edilmiş ise, devletlerin \ryatırımcı aleyhine tahkime başvurmaları ya da onlar tarafında açılmış \rdavalarda karşı dava açabilmeleri tehlikeye girmektedir. Diğer tarafından, bazı yazarlar devletlerin maruz kaldıkları bu durumu adaletsizlik \ryaratabileceği nedeni ile eleştirmektedir.
- MakaleAçık Erişim2021A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids
Yin, Fengyuan; Hajjiah, Ali; Jermsittiparsert, Kittisak; Al-Sumaiti, Ameena Saad; Elsayed, Salah K.; Ghoneim, Sherif S. M.; Mohamed, Mohamed A.
Optimal scheduling of reconfigurable interconnected microgrids is a precious and critical task for the residential consumers especially with the integration of renewable energy sources, dispatchable units and energy storage systems. In this regard, not only the optimal scheduling of the microgrids in a realistic and correlated environment is a necessity, but also the guarantied security and the prevention of cyber-attacks are mandatory tasks for the operators. This article first addresses these issues by developing a novel framework based on blockchain for secured data transaction from the individual microgrids' components to the central control unit and then tries to find the optimal scheduling plan using stochastic programming based on point estimate method (PEM). Through such a hybrid PEM-blockchain based framework, the interconnected microgrids can supply the residential loads in a fully reliable, economic and secured structure. We also consider a social-economic framework to not only minimize the total operating cost of the microgrids, but also benefit the customers by enhancing the social factors through the optimal switching. Considering the complex and nonlinear nature of the problem, an effective corrected crow search (CCS) algorithm is deployed to find the most optimal operating point for the microgrids. The quality and capabilities of the proposed model are investigated using a practical residential interconnected microgrid. The results show that the optimal switching could reduce the total operation cost from $22,716 to $21,935 (3.56% reduction). Also, the average energy not supplied (AENS) has reduced from 1.4115 to 1.352 kWh/customer.yr (4.40% reduction), which are notable values. The results advocate the quality and functionality of the proposed framework.
- MakaleAçık Erişim2020Dermatological Findings in Female and Male Fibromyalgia Patients
Şentürk, Ahmet İlteriş; Ürkmez, Berna; Erdugan, Müge Kepekçi; Taspinar, Ozgur; Araz, Emre; Erdugan, Murat
Introduction: Fibromyalgia syndrome (FMS) is a chronic disease characterized by widespread musculoskeletal pain andhypersensitivity at some points of the body. Our study aims to investigate whether there is a difference between male andfemale FMS patients and male and female healthy volunteers concerning dermatological findings.Methods: Sixty female and 60 male patients, who were diagnosed with FMS, were included in the study group; 60 femaleand 60 male healthy volunteers were included in the control group in this study. Fibromyalgia Impact Questionnaire andthe Beck Depression Inventory were applied to all participants at the time of admission. All participants were examined bya dermatologist, and dermatological diagnoses were recorded. The results of the patients in both groups were comparedand statistically analyzed.Results: In the examination of dermatological diagnoses, it was found that the incidence of lichen simplex chronicus wassignificantly higher in female FMS patients than in healthy female participants (p=0.006).Discussion and Conclusion: Based on the results of this study, our findings suggest that dermatological examination inpatients with FMS should be given more importance within a holistic examination approach.
- MakaleAçık Erişim2020HCAB-SMOTE: A Hybrid Clustered Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification
Al Majzoub, Hisham; Elgedawy, Islam; Akaydin, Oyku; Ulukok, Mehtap Kose
Binary datasets are considered imbalanced when one of their two classes has less than 40% of the total number of the data instances (i.e., minority class). Existing classification algorithms are biased when applied on imbalanced binary datasets, as they misclassify instances of minority class. Many techniques are proposed to minimize the bias and to increase the classification accuracy. Synthetic Minority Oversampling Technique (SMOTE) is a well-known approach proposed to address this problem. It generates new synthetic data instances to balance the dataset. Unfortunately, it generates these instances randomly, leading to the generation of useless new instances, which is time and memory consuming. Different SMOTE derivatives were proposed to overcome this problem (such as Borderline SMOTE), yet the number of generated instances slightly changed. To overcome such problem, this paper proposes a novel approach for generating synthesized data instances known as Hybrid Clustered Affinitive Borderline SMOTE (HCAB-SMOTE). It managed to minimize the number of generated instances while increasing the classification accuracy. It combines undersampling for removing majority noise instances and oversampling approaches to enhance the density of the borderline. It uses k-means clustering on the borderline area and identify which clusters to oversample to achieve better results. Experimental results show that HCAB-SMOTE outperformed SMOTE, Borderline SMOTE, AB-SMOTE and CAB-SMOTE approaches which were developed before reaching HCAB-SMOTE, as it provided the highest classification accuracy with the least number of generated instances.
- MakaleYalnız künye2019Examination of connectivist theory in English language learning: The role of online social networking tool
Sozudogru, Oytun; Altinay, Mehmet; Dagli, Gokmen; Altinay, Zehra; Altinay, Fahriye
Purpose: The purpose of this paper is to examine the role of technology and online communication platforms in English language learning based on connectivist theory. Design/methodology/approach: Questionnaire and checklist were used to examine the role of online communication tools in the learning process. The data analysis was done with SPSS. Findings: Results showed that being involved in collaborative learning and dialogue increases connectivist knowledge, reflection and negotiation. Online communication tools can be used as an effective supplementary material for learning. Research limitations/implications: The limitation of this paper is that the number of participants was limited to 27. Practical implications: This paper gives insights on the use of language and technology integration. Social implications: New way of learning and language learning become essential for the pedagogy and learner in the higher education. Originality/value: The paper is original in its research context and gives a value to contribute new way of learning based on approach.