• Advances in Computational Design
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• 제2권4호
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• pp.283-291
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• 2017

High frequency full bridge series resonant inverters have become increasingly popular among power supply designers. One of the most important parameter for a High Frequency Full Bridge Series Resonant Inverter is optimal coil design. The optimal coil designing procedure is not a easy task. This paper deals with the New Approach to Optimal Design Procedure for a Real-time High Frequency Full Bridge Series Resonant Inverter in Induction Heating Equipment devices. A new design to experimental modelling of the physical properties and a practical power input simulation process for the non-sinusoidal input waveform is accepted. The design sensitivity analysis with Levenberg-Marquardt technique is used for the optimal design process. The proposed technique is applied to an Induction Heating Equipment devices model and the result is verified by real-time experiment. The main advantages of this design technique is to achieve more accurate temperature control with a huge amount of power saving.

• Asian Pacific Journal of Cancer Prevention
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• 제16권16호
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• pp.7025-7029
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• 2015

Background: The optimal sequence and extent of multimodality therapy remains to be defined for extrapulmonary small cell carcinoma because of its rarity. The purpose of our study was to assess the response to neoadjuvant chemotherapy followed by chemoradiation/radiation in patients with extrapulmonary small cell carcinoma. Materials and Methods: Four consecutively diagnosed patients were included in this study. The primary tumor site was oropharynx in three patients and esophagus in one. The patients with the limited disease were treated with chemotherapy followed by concurrent chemoradiation (n=2) or radiotherapy (n=1). The patient with the extensive disease with the primary site in vallecula was treated with chemotherapy and palliative radiotherapy to the metastatic site. Results: The median follow-up was 22.5 months (range, 8-24 months). Three patients with the limited disease (base of tongue, n=2; esophagus, n=1) were in complete remission. The patient with the extensive disease died of loco-regional tumor progression at 8 months from the time of diagnosis. Conclusions: The combination of chemotherapy and radiotherapy is the preferred therapeutic approach for patients with extrapulmonary small cell carcinoma. Induction chemotherapy followed by concurrent chemoradiation or radiation provides a good loco-regional control in patients with limited disease.

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6067-6072
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• 2012

Background: Breast cancer in developing countries is on the rise. There are currently no guidelines to screen women at risk in India. Since mammography in the western world is a well-accepted screening tool to prevent late presentation of breast cancer and improve mortality, it is intuitive to adopt mammography as a screening tool of choice. However, it is expensive and fraught with logistical issues in developing countries like India. Materials and Methods: Our breast cancer screening camp was done at a local district hospital in India after approval from the director and administrators. After initial training of local health care workers, a one-day camp was held. Clinical breast examination, mammograms, as well as diagnostic evaluation with ultrasound and fine needle aspiration biopsy were utilized. Results: Out of total 68 women screened only 2 women with previous history of breast cancer were diagnosed with breast cancer recurrence. None of the women in other groups were diagnosed with breast cancer despite suspicious lesions either on clinical exam, mammogram or ultrasound. Most suspicious lesions were fibroadenomas. The average cost of screening women who underwent mammography, ultrasound and fine needle aspiration was $30 dollars, whereas it was $16 in women who had simple clinical breast examination. Conclusions: Local camps act as catalysts for women to seek medical attention or discuss with local health care workers concerns of discovering new lumps or developing breast symptoms. Our camp did diagnose recurrence of breast cancer in two previously treated breast cancer patients, who were promptly referred to a regional cancer hospital. Further studies are needed in countries like India to identify the best screening tool to decrease the presentation of breast cancer in advanced stages and to reduce mortality.

• Journal of Electrical Engineering and Technology
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• 제3권1호
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• pp.52-59
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• 2008

This paper describes the secant method for solving the economic dispatch (ED) problem with generator constraints and transmission losses. The ED problem is an important optimization problem in the economic operation of a power system. The proposed algorithm involves selection of minimum and maximum incremental costs (lambda values) and then the evaluation of optimal lambda at required power demand is done by secant method. The proposed algorithm has been tested on a power system having 6, 15, and 40 generating units. Studies have been made on the proposed method to solve the ED problem by taking 120 and 200 units with generator constraints. Simulation results of the proposed approach were compared in terms of solution quality, convergence characteristics, and computation efficiency with conventional methods such as lambda iterative method, heuristic methods such as genetic algorithm, and meta-heuristic methods like particle swarm optimization. It is observed from different case studies that the proposed method provides qualitative solutions with less computational time compared to various methods available in the literature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2701-2717
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• 2023

In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

• 사상체질의학회지
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• 제21권2호
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• pp.137-143
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• 2009

1. Objective : This study aims to evaluate the medical tourism structures in countries with prosperous medical tourism industry such as Thailand, Malaysia, Singapore and India in order ro propose optimal strategies that can promote the medical tourism in Korea. 2. Methods : All pertinent literature concerning medical tourism directly and indirectly were assessed, and reviews of medical tourism strategies found in various countries were evaluated. 3. Results : Evaluation of related literature reveals that medical tourism is a recent burgeoning industry that has grown In market size considerably in the last five to ten years. Also, it shows that oriental medicine is a highly likely candidate amidst the various medical fields for attraction foreign patients. 4. Conclusion : The Korean government should support and install appropriate legal and administrative bodies in order to attract medical tourists; Korea-specific medical tourism programs (ie. traditional Korean medicine package tours) should be developed in order to attract medical tourists from the western world and the middle-east. In addition, low-price policy of medical tourism is not a proper strategies for the competition against advanced medical tourism destinations such as Thailand, Malaysia, Singapore and India. Differentiated medical tourism package such as oriental medical tourism program rather than provision of low-price policy seems to be more effective strategy for the medical tourism in Korea. Future studies on strategies for promoting medical tourism should focus on how foreigners recognize traditional Korean medicine, what diagnostic approach might be appealing to them and how the legal system concerning the medical procedures may be altered and modified.

• Asia pacific journal of information systems
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• 제30권4호
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• pp.879-918
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• 2020

One of the challenges faced by Talent Acquisition teams today pertains to the acquisition of human resources by matching job descriptions and skillsets desired. It is more so in the case of competitive sectors like the Indian IT sector. There can be various channels for Talent Acquisition and accordingly, the cost and benefits might vary. However, the consequences of a mismatch have an impact on the quality of deliverables, high recruitment expenses and loss of revenue for the organization. With increased and diverse sources of data that are available to organizations today, there is ample opportunity to apply analytics for informed decision making in this field. This paper reveals useful insights that help streamline the Talent Acquisition process in the Indian IT Industry. The paper adopts a data-centric approach to examine the critical determinants for efficient and effective Talent Acquisition process in IT organizations. Selected supervised machine learning algorithms are applied for the analysis of the dataset. The study is likely to help organizations in reassessing their talent acquisition strategy with respect to key parameters like expected cost to company (CTC), candidate sourcing channels and optimal joining period.

• 대한원격탐사학회지
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• 제36권6_1호
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• pp.1277-1290
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• 2020

지표수와 지하수로 이루어진 수자원은 세계적으로 가장 중요한 천연자원 중 하나로 여겨진다. 지난 세기 이후 급속한 산업화와 급증하는 인구로 인해, 생활용, 산업용, 농업용수 수요가 급증하고 있으며, 이에 대한 지하수 수요도 급증하고 있다. 따라서 지하수에 대한 지속 가능한 개발과 관리를 위해서는 정확한 위치기반의 지하수 가능성도 작성이 필수적이다. 최근에는 기계학습과 지리정보시스템 통합이 지하수 가능성도 작성에 효과적인 방법이 되고 있다. 이러한 통합접근법의 현황 파악을 위해 6년(2015~2020년) 동안 94편의 직접 관련 논문에 대한 체계적 검토를 실시했다. 문헌 검토에 따르면, 매년 발간되는 연구의 수는 시간이 지남에 따라 급격히 증가했다. 전체 연구 분야는 15개국에 걸쳐 있으며, 85%의 연구가 이란, 인도, 중국, 한국, 이라크에 집중되었다. 지하수 산출 가능성 조사에는 20개의 변수가 자주 사용된 것으로 조사되었으며, 이 중 지형고도, 경사, 경사방향, 지형습도지수, 지질, 토지 이용 피복, 하천 밀도, 강과의 거리, 강우량 등이 자주 사용되는 것으로 나타났다. 기계학습 모델에 있어 랜덤 포레스트, 서포트벡터머신, 부스트 회귀트리 등의 방법이 많이 사용되었다. 이러한 문헌 연구는 최적의 결과를 위해 지하수 가능성도를 저비용 대체물이 아닌 현장 작업을 보완하는 도구로 사용해야 한다는 것을 보여준다. 마지막으로, 향후, 지하수 가능성도 작성의 표준화 및 정확성을 개선하기 위해 더 많은 연구가 진행되어야 할 것이다.