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- 저자 : Akhtar Iram (검색결과 2 건)
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Naz, Iram,Mahmood, Muhammad Khurram,Akhtar, Farhan,Nagi, Abdul Hannan Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.7
Background: The purpose of the study was to analyse the clinicopathological spectrum of benign and malignant odontogenic tumours (OT) in Pakistan. Materials and Methods: This retrospective study was carried out at the Armed Forces Institute of Pathology (AFIP) Rawalpindi. Seven years archival records of histologically diagnosed odontogenic tumours, both benign and malignant, were collected and the lesions re-diagnosed histologically in accordance with the WHO classification of head and neck tumours (2005). Clinical as well as histological data were analysed and frequency of each type of OT was calculated using computer software programme SPSS (version 17). Mean tumour size was calculated and Chi-square test was applied to find associations of age, gender and site with each histological type of tumour. Results: Only 1.7% of the odontogenic tumours diagnosed in this said period were malignant while the remaining 98.3% were benign. Amongst benign lesions, ameloblastoma was the most common (61.3%) type while primary intraosseous squamous cell carcinoma (1.7%) was the only reported malignant tumour. Mean age of the affected patients was $31.7{\pm}16.7$ years with posterior mandible as the commonest site involved. Conclusions: Our study revealed ameloblastoma and primary intraosseous squamous cell carcinoma as the commonest diagnosed benign and malignant tumours respectively. There was a significant difference in age and site of origin of different types of OT at the time of their presentation. However, all the tumours showed male predominance.
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Allocation of DG in Distribution Network Using Parameter Independent JAYA Algorithm
Pandey Anand Kumar,Kirmani Sheeraz,Kumar Ankesh,Akhtar Iram 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
Integration of DGs in the distribution network has led to challenges in making the system reliability, and other parameters improve. This paper gives a detailed discussion on the placement of DG in the distribution system using the new algorithm ‘JAYA’ having no control parameter which makes the algorithm simple than previous used algorithms and also give best solutions according to the study. Three system parameters are considered for DG placement solution: active power loss reduction, voltage deviation reduction and voltage stability index maximization. The methodology is presented to calculate the optimal values for varying load profiles i.e. constant, residential, commercial and industrial. Type-1 DG placement is considered for placement. Simultaneous improvement of all factors using weight based multi-objective function is used. Standard test system IEEE-33 and 69 bus is used to validate the applicability of the methodology and compared to other optimization methods, the results presented proves the JAYA to be better optimization of optimal DG calculation as the method is simple, feasible and have good applicability with other nature inspired and meta-heuristic methods.
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