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High Gain DC-DC Converter with Enhanced Adaptive MPPT for PV Applications 高增益DC-DC变换器与增强自适应MPPT的光伏应用
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.02
Suvetha Poyyamani Sunddararaj, Seyezhai Ramalingam
The increasing demand for electricity has pushed more effort to focus on renewable energy sources to satisfy the consumer. The renewable energy sources are playing a major role in the generation of electricity. Out of all the renewable energy sources, solar has emerged as one of the best sources of energy since it is clean, inexhaustible and eco-friendly. However, the voltage generated by the solar cell is not sufficient for any consumer load and it is also variable. Therefore, it is necessary to implement DCDC converters for regulating and improving the output voltage of the solar panel. In order to extract the maximum output from the PV (Photovoltaic) panel, a comparative analysis of various MPPT (Maximum Power Point Tracking) algorithms is proposed in this paper. The proposed enhanced adaptive P&O (Perturb and Observe) algorithm is modeled and implemented with a high gain DC-DC converter. The converter investigated in this paper consists of a single power electronic switch (MOSFET) for its operation, which leads to reduction of switching and conduction losses. The proposed converter has less ripple content and a high conversion ratio. A simulation study of the proposed power electronic converter powered by PV source is carried out in MATLAB/SIMULINK and the results are validated using an experimental setup.
不断增长的电力需求推动了更多的努力,以关注可再生能源,以满足消费者。可再生能源在发电中起着重要作用。在所有可再生能源中,太阳能因其清洁,取之不尽,用之不竭和环保而成为最好的能源之一。然而,太阳能电池产生的电压不足以满足任何消费负荷,而且它也是可变的。因此,有必要采用DCDC变换器来调节和提高太阳能电池板的输出电压。为了提取光伏板的最大输出,本文对各种最大功率点跟踪(MPPT)算法进行比较分析。提出的增强自适应P&O (Perturb and Observe)算法用高增益DC-DC转换器建模和实现。本文所研究的变换器由单个功率电子开关(MOSFET)组成,从而降低了开关和传导损耗。该变换器具有纹波含量少、转换率高的特点。在MATLAB/SIMULINK中对所设计的光伏电源电力电子变换器进行了仿真研究,并通过实验装置对实验结果进行了验证。
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引用次数: 4
Heritage at Stake: Discourse Concerning the Causes of Damages Occurred to the Historic Hostel Structures Built in British Era in Karachi 岌岌可危的遗产:关于卡拉奇英治时期历史旅舍结构受损原因的论述
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.23
T. Soomro, M. A. Soomro, H. Kanwal
Karachi being the first born city of the colonial architecture in Sindh Pakistan has the honor of housing very important and diverse ornamental architectural master pieces. Along with the commercial nucleus; Karachi emerged as a regional educational hub after the partition of the Indian subcontinent in 1947 with several hostel structures and studio apartments. These structures are among the better examples of the pre-colonial and post-colonial architectural influence in the region. Few of them (still surviving) are incorporated in the national list of protected heritage under Sindh Cultural Heritage Preservation Act 1994. This research paper is focused on “the lost importance of the three different hostel (boys’ hostels only) premises in the historic core of the city of Karachi”. Despite possessing similar functions in the past and having the same status of the declared protected heritage at present, each of them has different use and conservation status at present. None of the buildings have endured the original function. This research focuses the reasons of the non-continuation of the original function and the impairments caused to the buildings due to this reason. Methodology followed for the research includes analysis of available archives, physical observation, photographic documentation and interviews with the local inhabitants of the neighborhood. The results and the findings of this research portray that eroding hostel culture has subjected those structures to slow and painful death of their original purpose. These buildings, once popular in the area, are now fading fast and perhaps will cease to exist in the near future unless the immediate precautionary measures are taken. The main conclusion drawn in this paper is that “it is important to preserve those historic premises as they are of significant historic character that remained associated with a number of key political and social personalities of the region. Moreover, they play a vital role in the general architectural value of the region”.
卡拉奇是巴基斯坦信德省殖民地建筑的第一个诞生城市,拥有非常重要和多样的装饰建筑大师作品。伴随着商业核心;1947年印度次大陆分裂后,卡拉奇成为了一个地区教育中心,有几座旅馆和一室公寓。这些建筑是该地区前殖民和后殖民建筑影响的较好例子之一。根据1994年《信德省文化遗产保护法》,它们中很少(仍然幸存)被纳入国家保护遗产名录。这篇研究论文的重点是“在卡拉奇市的历史核心,三个不同的旅馆(只有男孩旅馆)的重要性的丧失”。虽然它们在过去具有类似的功能,目前也具有相同的申报保护遗产地位,但它们目前的用途和保护状况却各不相同。这些建筑都没有保留原来的功能。本研究重点研究了原有功能不能延续的原因,以及由此对建筑造成的损害。研究采用的方法包括分析现有档案、实物观察、摄影记录和对附近当地居民的采访。这项研究的结果和发现表明,受到侵蚀的旅馆文化已经使这些结构缓慢而痛苦地失去了它们最初的目的。这些曾经在该地区很受欢迎的建筑物现在正在迅速消失,除非立即采取预防措施,否则可能在不久的将来不复存在。本文得出的主要结论是“重要的是要保护这些历史建筑,因为它们具有重要的历史特征,与该地区的一些重要政治和社会人物有关。”此外,它们在该地区的总体建筑价值中起着至关重要的作用。”
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引用次数: 3
Dig deep for Lyell’s notebooks 深挖莱尔的笔记本
Pub Date : 2019-07-01 DOI: 10.1144/geosci2019-032
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引用次数: 0
Economically Effective and Intelligently Responsive Home Energy Management System 经济有效和智能响应的家庭能源管理系统
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.06
M. Mushtaq, Asif Siddiq, M. Tariq, Akbar Ali, Anum Zahra
Energy management in home is one of the major issue now-a-days. There are different types of load like shiftable, non-shiftable, seasonal loads and auxiliary loads. In this research article, an energy management system is proposed for home which helps to schedule different loads on the basis of their types and price. It will help to minimize the cost of electricity by shifting load from peak time to off peak time. Emission will be minimized by charging penalty by adopting multi-objective optimization. Each source of energy has its own price of penalty with respect to time. Penalty is charged to minimize the use of sources like commercial supply and diesel generators which emits hazardous gases. In proposed model, user will get electricity from commercial supply, diesel generators and solar panels to provide continuous supply of electricity to fulfill the energy demand. The shiftable loads will be shifted from peak time to off peak time and higher price source to lower price source to minimize the overall price. In this research, we have proposed an EEIR (Economically Effective and Intelligently Responsive) HEMS (Home Energy Management System) by solving multi-objective optimization problem from BILP (Binary Integer Linear Programming) using branch and bound algorithm.
家庭能源管理是当今的主要问题之一。有不同类型的负荷,如可移动负荷、不可移动负荷、季节性负荷和辅助负荷。本文提出了一种家庭能源管理系统,该系统可以根据不同的类型和价格来安排不同的负荷。通过将负荷从高峰时间转移到非高峰时间,将有助于最大限度地降低电力成本。采用多目标优化,通过收费处罚使排放最小化。每一种能源都有自己的时间代价。罚款是为了尽量减少使用商业供应和柴油发电机等排放有害气体的来源。在提出的模型中,用户将从商业供应、柴油发电机和太阳能电池板中获得电力,以提供持续的电力供应,以满足能源需求。可移动负荷将从高峰时段转移到非高峰时段,将高电价源转移到低电价源,以使总电价最小。在本研究中,我们利用分支定界算法解决二进制整数线性规划中的多目标优化问题,提出了一种经济有效和智能响应的家庭能源管理系统(EEIR)。
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引用次数: 1
Distant Thunder: Behind every good man... 远方雷声:在每个好人的背后……
Pub Date : 2019-07-01 DOI: 10.1144/geosci2019-036
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引用次数: 0
An Efficient Computer-Aided Diagnosis System for the Analysis of DICOM Volumetric Images DICOM体积图像分析的高效计算机辅助诊断系统
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.24
Qoseen Zahra, M. Malik, Naila Batool
Medical images are an important source of diagnosis. The brain of human analysis is now an advanced field of research for computer scientists and biomedical physicians. Services provided by the healthcare units usually vary, the quality of treatment provided in the urban and rural generally not same. Unavailability of medical equipment and services can have serious consequences in patient disease diagnosis and treatment. In this context, we developed. MRI (Magnetic Resonance Imaging) based CAD (Computer Aided Diagnosis) system which takes MRI as input and detects abnormal tissues (Tumors). MRI is the safe and well reputed imaging methodology for prediction of tumors. MRI modality assists the medical team in diagnosis and proper treatment plan (Medication/Surgery) of different types of abnormalities in the soft tissues of the human body. This paper proposes a framework for brain cancer detection and classification. The tumor is segmented using a semi-automatic segmentation algorithm in which the threshold values selection for head and cancer regions are premeditated automatically. Segmented tumors are further sectioned into malignant and benign using SVM (Support Vector Machine) classifier. Detailed experimental work indicates that our proposed CAD system achieves higher accuracy for the analysis of brain MRI analysis.
医学图像是诊断的重要来源。人类大脑分析现在是计算机科学家和生物医学医生研究的一个前沿领域。保健单位提供的服务通常各不相同,城市和农村提供的治疗质量一般也不尽相同。医疗设备和服务的缺乏会对患者疾病的诊断和治疗造成严重后果。在这种背景下,我们发展。基于MRI(磁共振成像)的计算机辅助诊断系统,以MRI为输入,检测异常组织(肿瘤)。MRI是一种安全且声誉良好的肿瘤预测成像方法。MRI模式协助医疗团队对人体软组织不同类型的异常进行诊断和适当的治疗计划(药物/手术)。本文提出了一个脑癌检测与分类的框架。使用半自动分割算法对肿瘤进行分割,其中头部和肿瘤区域的阈值选择是自动预先考虑的。利用支持向量机(SVM)分类器将分割后的肿瘤进一步分为恶性和良性。详细的实验工作表明,本文提出的CAD系统对脑MRI分析具有较高的精度。
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引用次数: 3
It’s time to take notice of sand 是时候注意沙子了
Pub Date : 2019-07-01 DOI: 10.1144/geosci2019-035
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引用次数: 0
Factors Affecting Characteristic Length of the Combustion Chamber of Liquid Propellant Rocket Engines 影响液体火箭发动机燃烧室特性长度的因素
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.16
Tajwali Khan, I. Qamar
Optimum characteristic length of the combustion chamber of liquid rocket engine is very important to get higher energy from the liquid propellants. Characteristic length is defined by the time required for complete burning of fuel. Combustion reactions are very fast and combustion is evaporation dependent. This paper proposes fuel droplet evaporation model for liquid propellant rocket engine and discusses the factors which can affect the required size of characteristic length of the combustion chamber based on proposed model. The analysis is performed for low temperature combustion chamber. A computer code based on proposed model is generated, which solve analytical equations to calculate combustion chamber characteristic length under various input conditions. The analysis shows that characteristic length is affected by combustion chamber temperature, pressure, fuel droplet diameter, chamber diameter, mass flow rate of propellants and relative velocity of the droplet in the combustion chamber.
液体火箭发动机燃烧室的最佳特性长度对于获得更高的液体推进剂能量至关重要。特性长度由燃料完全燃烧所需的时间来定义。燃烧反应非常快,燃烧依赖于蒸发。提出了液体推进剂火箭发动机的燃料液滴蒸发模型,并在此基础上讨论了影响燃烧室特征长度所需尺寸的因素。对低温燃烧室进行了分析。基于该模型生成了计算机程序,求解了不同输入条件下燃烧室特征长度的解析方程。分析表明,特征长度受燃烧室温度、压力、燃料液滴直径、燃烧室直径、推进剂质量流量和液滴在燃烧室的相对速度的影响。
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引用次数: 3
Routine of Encryption in Cognitive Radio Network 认知无线网络中的加密程序
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.07
Asif Raza, Muhammad Tanveer Meeran, Muizzud Din
Today data transmission is very important through different channels. Need of network security comes to secure data transformation from one network to another network. As the complexity of the systems and the networks increases, weakness expands and the task of securing the networks is becomes more convoluted. Duty of securing is done by Cryptography techniques. A colossal amount of data is exchanged over public networks like the internet due to immense accommodation. This includes personal details and confidential information. It is important to prevent the data from falling into the wrong hands. So, due to this factor we use cryptography. Encryption and decryption are the basic terms that are used in cryptography. There are few algorithms which used including, AES (Advanced Encryption Standard), DES (Data Encryption Standard), 3DES (Triple Data Encryption Standard) and BLOWFISH. The main contribution of this paper is to provide an algorithm that is useful for data transformation in cognitive radio networks. In this research, we have drawn a new symmetric key technique that is for the usage of cryptography which is helpful to make the data saved from others.
今天,通过不同的渠道进行数据传输非常重要。网络安全的需要是保证数据在不同网络间的传输安全。随着系统和网络复杂性的增加,弱点扩大,保护网络的任务变得更加复杂。安全的责任是由密码技术完成的。由于巨大的便利,大量的数据通过互联网等公共网络交换。这包括个人信息和机密信息。重要的是要防止数据落入坏人之手。因此,由于这个因素,我们使用加密技术。加密和解密是密码学中使用的基本术语。目前使用的加密算法有AES (Advanced Encryption Standard)、DES (Data Encryption Standard)、3DES (Triple Data Encryption Standard)和BLOWFISH。本文的主要贡献是提供了一种对认知无线网络中的数据转换有用的算法。在本研究中,我们提出了一种新的用于密码学的对称密钥技术,它有助于从其他人那里保存数据。
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引用次数: 0
Review of Electrical Motor Drives for Electric Vehicle Applications 电动汽车用电机驱动综述
Pub Date : 2019-07-01 DOI: 10.22581/muet1982.1903.01
W. Cao, A. Bukhari, L. Aarniovuori
EVs (Electric Vehicles) have been rejuvenated over the last decades while the motor drive technologies are still evolving. This paper provides a review of electrical motor drive technologies used in EV applications, with a performance comparison of candidate machines and their drive topologies. EV applications demand high efficiency, high torque density, high reliability, and wide speed range while reducing weight, complexity, total costs and environmental impact. In the literature, DC (Direct Current) motors, IMs (Induction Motors) and PM (Permanent Magnet) motors can be generally found in marketplace whilst RMs (Reluctance Motors) have been researched for some time and are nearing commercial availability. This paper evaluates the performance of these four main types of electrical motor drives for EV propulsion applications using analytical methods. PM motors may offer the best performance in terms of torque density and compactness but the cost is the highest (primarily dominated by rare-earth permanent magnets), limiting their widespread application in mass production EVs. DC motors have their own merits but suffer from limited power density and necessity for maintenance. Induction motor drives are a mature and proven technology. In particular, squirrel-cage IMs are robust, reliable and inexpensive, striking a balance between system cost and complexity, power density and extended speed range. Reluctance motors can provide a good torque density and cost effective EV drive solutions. Their drawbacks can also be overcome by the use of power electronic converters and advanced control strategies. Induction and reluctance motor drives are well suited for cost sensitive mass production EV applications. Looking to the future, increased hybridization may be a way forward in industry which combines attractive features of different electrical machines and control algorithms and still offer much promise in performance and total cost. At last, reliability study on EVs requires historical information and driving patterns, demanding research expertise in eco-sociology, human behaviors as well as human-machine interface.
在过去的几十年里,电动汽车(电动汽车)重新焕发了活力,而电机驱动技术仍在不断发展。本文综述了电动汽车应用中使用的电机驱动技术,并对候选机器及其驱动拓扑进行了性能比较。电动汽车应用需要高效率、高扭矩密度、高可靠性和宽速度范围,同时减少重量、复杂性、总成本和环境影响。在文献中,DC(直流)电机,IMs(感应电机)和PM(永磁)电机通常可以在市场上找到,而rm(磁阻电机)已经研究了一段时间,并且接近商业可用性。本文采用分析方法对这四种主要类型的电动汽车推进电机驱动器的性能进行了评估。永磁电机可能在扭矩密度和紧凑性方面提供最佳性能,但成本最高(主要由稀土永磁体主导),限制了它们在大规模生产电动汽车中的广泛应用。直流电动机有其自身的优点,但受限于功率密度和维护的必要性。感应电机驱动是一项成熟且经过验证的技术。特别是,鼠笼式IMs稳健、可靠且价格低廉,在系统成本和复杂性、功率密度和扩展速度范围之间取得了平衡。磁阻电机可以提供良好的扭矩密度和成本效益的电动汽车驱动解决方案。它们的缺点也可以通过使用电力电子转换器和先进的控制策略来克服。感应和磁阻电机驱动非常适合于成本敏感的批量生产电动汽车应用。展望未来,增加混合动力可能是工业发展的一种方式,它结合了不同电机和控制算法的吸引人的特点,并且在性能和总成本方面仍然有很大的希望。最后,电动汽车的可靠性研究需要历史信息和驾驶模式,需要生态社会学、人类行为和人机界面等方面的研究专长。
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引用次数: 12
期刊
July 2019
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