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Performance Analysis of a High Gain LUO Converter-Based Hybrid PV-Wind System 基于高增益LUO转换器的混合PV-Wind系统性能分析
Pub Date : 2021-05-15 DOI: 10.51983/ajes-2021.10.1.2794
N. Amutha Priya, M. Aswin, S. J. Azis Shane, Y. Blessing Dino, D. Dagul
This project is aimed at the implementation of a fuzzy logic algorithm based maximum power point tracking in transformer less grid connected PV system along with reactive power compensation. A single diode model is used for PV array and its simulation is performed using MATLAB. In fuzzy logic controller, voltage and current are taken as inputs and the effective value of A.C current corresponding to the maximum power point is obtained as output. Thus, in addition to supplying voltage by the inverter without transformer for compensating the reactive power not exceeding its power rating. This results in utilization of PV system at night and at periods of low irradiation. Rules relating the input and output of fuzzy logic controller are written and simulation is performed. A LUO Converter is used for maintaining DC input to the inverter at various conditions of irradiation and temperature. Gating pulses to the inverter are generated by proportional-integral controller. Hardware model of a10W solar panel is developed and results are obtained with fuzzy logic controller for different irradiation and temperature conditions. Results show the effectiveness of the proposed method in utilizing the PV system. This project is implemented using DSPIC30F2010 controller.
本课题旨在实现基于模糊逻辑算法的无变压器并网光伏系统最大功率点跟踪及无功补偿。光伏阵列采用单二极管模型,并利用MATLAB对其进行仿真。模糊控制器以电压和电流为输入,求得最大功率点对应的交流电流有效值作为输出。这样,除由逆变器提供电压外,无需变压器用于补偿不超过其额定功率的无功功率。这导致PV系统在夜间和低辐射时期的利用。编写了模糊控制器输入输出规则,并进行了仿真。LUO变换器用于在各种辐照和温度条件下保持逆变器的直流输入。逆变器的门控脉冲由比例积分控制器产生。建立了10w太阳能电池板的硬件模型,并利用模糊控制器对不同辐照和温度条件下的结果进行了分析。结果表明,该方法对光伏系统的利用是有效的。本课题采用DSPIC30F2010控制器实现。
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引用次数: 0
IT Risk Management based on ISO 31000 for BRImo Application (BRI Mobile) as a Transaction Processing Information System 基于ISO 31000的brmo应用(BRI Mobile)作为交易处理信息系统的IT风险管理
Pub Date : 2021-05-15 DOI: 10.51983/ajes-2021.10.1.2865
F. Wati, Sarmila Sari, Joy Nashar Utamajaya
BRImo application is a software support system owned by Bank BRI in order to increase profits and provide maximum service to customers. With the BRImo application, it can make it easier for customers to register for new account openings and e-banking transactions anywhere without being limited by space and time. However, implementing information technology is not without risk, because banks are a highly regulated industry and must be carried out prudently. With the growing complexity of BRI's business activities and operations, the risks faced are also getting bigger. Threats that arise to operational activities can be triggered by various factors, both internal and external. Therefore, there is a need for risk management analysis on the BRImo Application using the ISO 31000 framework so that the possible risks that will occur can be minimized or eliminated by carrying out Risk Assessment and Risk Treatment. The results of this study are various possible risks in the identified application using a probability and impact matrix as well as the handling of the possible risks that exist. So that the results of this risk analysis can be used to help companies prevent, minimize risks, and treat these risks according to their priorities before the possibility of these risks hampering the company's performance.
BRImo应用程序是BRI银行为了增加利润和最大限度地为客户提供服务而拥有的软件支持系统。使用BRImo应用程序,客户可以更轻松地在任何地方注册新账户和电子银行交易,而不受空间和时间的限制。然而,实施信息技术并非没有风险,因为银行是一个受到严格监管的行业,必须谨慎行事。随着“一带一路”商业活动和运作日益复杂,面临的风险也越来越大。对业务活动产生的威胁可由各种内部和外部因素引发。因此,有必要使用ISO 31000框架对BRImo应用程序进行风险管理分析,以便通过进行风险评估和风险处理来最小化或消除可能发生的风险。本研究的结果是使用概率和影响矩阵以及对存在的可能风险的处理,确定应用程序中的各种可能风险。这样就可以利用这种风险分析的结果来帮助企业预防、最小化风险,并在这些风险可能阻碍公司业绩之前,根据自己的优先级来处理这些风险。
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引用次数: 0
COVID-19: Confronts Covers Detection on Face through Python with Computer Vision, Tensor Flow and Keras COVID-19:通过Python与计算机视觉,张量流和Keras对抗面部覆盖检测
Pub Date : 2021-05-15 DOI: 10.51983/ajes-2021.10.1.2866
Sonali Mathur, Sohit Agarwal
The corona virus COVID-19 widespread is causing an around the world wellness calamity so the effective safety techniques are wearing confronts covers in open locales agreeing to the field Wellbeing Organization The COVID-19 widespread constrained governments globally to force lockdowns to anticipate infection transmissions. Reports show that carrying a confront veil while at work essentially diminishes the danger of transmission. A proficient and financial method of utilizing AI to create a secure encompassing within the course of a production setup. Utilizing this recently discharged procedure, we are ready to help numerous to hit upon and pass on security safeguards, by implies of the utilization of this strategy numerous wellness and social workers will be able to find the COVID-19 influenced patients. In arranging that they may be privy to this and hold a remove from the person to diminish the unfurl of corona virus infection. This machine no longer as working on web locales be that as it may, this approach can more over be supportive of the domestic venture to find the influenced clients. A crossover adaptation utilizing profound and classical frameworks considering for mask discovery is getting to be given. A veil location dataset comprises of with covers and without cover pictures, we have gotten to be to apply OpenCV to undertake to real-time confront location from remain circulate thru our webcam. We are going to utilize the dataset to form a COVID-19 covers locator with PC vision with the use of Python, OpenCV, and Tensor flow, and Keras. Our purpose is to distinguish whether the character of photograph/video development is wearing a cover or not with the assistance of computer vision and profound picking up information.
冠状病毒COVID-19的广泛传播正在引起世界各地的健康灾难,因此有效的安全技术是在开放场所戴上面罩,同意现场福利组织的意见。COVID-19的广泛传播限制了全球各国政府强制封锁,以预测感染传播。报告显示,在工作时佩戴正面面纱从根本上减少了传播的危险。一种利用人工智能在生产设置过程中创建安全包围的熟练和经济方法。利用这一最近出院的程序,我们准备帮助许多人建立和传递安全保障措施,通过使用这一策略,许多健康和社会工作者将能够找到受COVID-19影响的患者。在安排中,他们可能知道这一点,并与该人保持距离,以减少冠状病毒感染的蔓延。这台机器不再工作在网络环境,因为它可能,这种方法可以更多地支持国内企业找到受影响的客户。一个交叉适应利用深刻的和经典的框架考虑掩膜发现正在被给予。面纱位置数据集包括有盖和无盖图片,我们已经开始使用OpenCV来进行实时的面对面位置,从剩余的位置通过我们的网络摄像头循环。我们将利用数据集与使用Python, OpenCV和Tensor flow以及Keras形成具有PC视觉的COVID-19覆盖定位器。我们的目的是借助计算机视觉和深刻的拾取信息来区分照片/视频显影的特征是否戴着面具。
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引用次数: 0
Modified Artificial Bee Colony (ABC) Algorithm using Dynamic Technique 基于动态技术的改进人工蜂群算法
Pub Date : 2021-05-15 DOI: 10.51983/ajes-2021.10.1.2863
Mirza Samiulla Beg, Dr. Akhilesh A. Waoo
The artificial Bee Colony Algorithm is a maximum optimization technique. It has been used in various research papers. In this paper, the dynamic technique has been used in Artificial Bee Colony Algorithm, before this algorithm used the greedy technology of the algorithm. But due to some deficiency in the greedy technique, it has been replaced by the dynamic technique. Here in the Artificial Bee Colony Algorithm, an attempt has been made to overcome the lack of hygiene by using the dynamic technique. The methodology is depicted in this paper. Using this methodology, you can smooth access to data in network communication, reduce data access time, and also reduce energy consumption.
人工蜂群算法是一种极大优化技术。它已被用于各种研究论文。本文将动态技术应用于人工蜂群算法中,在此算法之前使用了算法中的贪婪技术。但是由于贪心技术的不足,它已经被动态技术所取代。在人工蜂群算法中,尝试利用动态技术来克服卫生不足的问题。本文描述了该方法。使用这种方法,可以在网络通信中平滑地访问数据,减少数据访问时间,还可以降低能耗。
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引用次数: 0
Qualitative Assessment of Digital Forensic Tools 数字取证工具的定性评估
Pub Date : 2020-05-05 DOI: 10.51983/ajes-2020.9.1.2372
Sakshi Singh, Suresh Kumar
Forensic science is a study of science to criminals and civil laws. Digital forensics is the part of forensic science relating to proof found in computers and advanced storage media. Forensic examiners gather, protect and break down logical confirmations over the span of examination. Digital information contains data as content, pictures, sound, video and so on. These days numerous cybercrime cases, for example, hacking, banking cheats, phishing, email spamming, etc., have developed which are connected with a computerized information. Since the digital investigation is turning into an expanding concern, numerous digital forensic tools have been created to manage the difficulties of exploring computerized wrongdoings. The motivation behind digital forensics strategies is to look, protect and extract data on advanced frameworks to discover potential confirmations to exhibit them in the courtroom. In this paper, we have discussed five kinds of forensics namely Network Forensics, Live Forensics, Cyber Forensics, Database Forensics, and Mobile Forensics. The paper depicts a list of digital forensic tools in detail and looks at them based on the characterized parameters to figure out which tool suits better for any investigation. The paper looks at network, database and mobile forensic tools and examines the silent features and uniqueness of each of the tools along with their functionalities.
法医学是一门研究刑事和民事法律的科学。数字取证是法医科学的一部分,涉及在计算机和高级存储媒体中发现的证据。法医审查员在整个检查过程中收集、保护和分解逻辑确认。数字信息包含内容、图片、声音、视频等数据。如今,许多网络犯罪案件,如黑客攻击、银行诈骗、网络钓鱼、垃圾邮件等,都与计算机化信息有关。随着数字调查越来越受到关注,为了解决调查计算机化不法行为的困难,出现了许多数字取证工具。数字取证策略背后的动机是查看、保护和提取高级框架上的数据,以发现潜在的证据,以便在法庭上展示。本文讨论了五种取证方法,即网络取证、现场取证、网络取证、数据库取证和移动取证。本文详细描述了数字取证工具的列表,并根据特征参数对其进行了研究,以确定哪种工具更适合任何调查。本文研究了网络、数据库和移动取证工具,并考察了每种工具的沉默特征和独特性及其功能。
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引用次数: 3
An Innovative Scheme of Reconciling IDEs Energetic Evidence to Provide Software Missions 一种协调ide能量证据以提供软件任务的创新方案
Pub Date : 2020-05-05 DOI: 10.51983/ajes-2020.9.1.2371
S. Ravichandran
An Integrated Development Environment (IDE) is the essential apparatus utilized by engineers to keep up programming framework. Current IDEs such an Eclipse IDE present static perspective on source code, yet such view ignoring data about runtime conduct of programming frameworks. Since common item arranged frameworks make significant utilization of polymorphism and dynamic official, static perspectives will miss the key data about runtime. An approach Senses used to collect and integrate dynamic information with static view of source code. Dynamic data race and memory leak is hard to detect in IDEs. A memory spill is capacity is distributed anyway that the program not wants. the premier normal mechanical criteria wont to affirm if a program still wants some tad of capacity is whether that memory will be come to from the present choice stack or world factors, that is whether that memory is root open. Capacity that is designated anyway not root available is unmistakably a break: there is no feasible way for the program to utilize that capacity again. This work exhibits a location of information races and memory spills are precisely and proficiently. The software tasks are maintained by improving the Correctness This paper present detection of data race and memory leak is accurately, effectively and efficiently.
集成开发环境(IDE)是工程师用来保持编程框架的基本工具。当前的IDE(如Eclipse IDE)提供源代码的静态视图,但是这种视图忽略了编程框架运行时行为的数据。由于公共项目安排框架充分利用了多态性和动态格式,因此静态透视图将丢失有关运行时的关键数据。一个方法感官用于收集和集成动态信息与静态视图的源代码。动态数据竞争和内存泄漏在ide中很难检测到。内存溢出是指容量以程序不希望的方式分布。确定程序是否还需要一些容量的首要标准是,该内存是否将从当前选择堆栈或世界因素中获得,即该内存是否完全打开。无论如何,被指定为非root可用的容量无疑是一个中断:程序没有可行的方法再次利用该容量。这项工作精确而熟练地展示了信息竞争和内存溢出的位置。本文提出了数据争用和内存泄漏检测是准确、有效和高效的。
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引用次数: 0
Classification of Musical Instruments Sound Using Pre-Trained Model with Machine Learning Techniques 使用机器学习技术的预训练模型对乐器声音进行分类
Pub Date : 2020-05-05 DOI: 10.51983/ajes-2020.9.1.2369
S. Prabavathy
Classify the musical instruments by machine is a challenging task. Musical data classification becomes very popular in research field. A huge manual process required to classify the musical instrument. This proposed system classifies the musical instruments using GoogleNet which is a pretrained network model; SVM and kNN are the two techniques which is used to classify the features. In this paper, to simply musical instruments classifications based on its features which are extracted from various instruments using recent algorithms. The performance of kNN with SVM compares in this proposed work. The musical instruments are identified and its accuracy is computed with the classifiers SVM and kNN, using the SVM with GoogleNet 99% achieve as a high accuracy rate in classifying the musical instruments. In this system sixteen musical instruments used to find the accuracy using SVM and kNN.
用机器对乐器进行分类是一项具有挑战性的任务。音乐数据分类已成为研究领域的热点。对乐器进行分类需要大量的手工操作。该系统使用预训练网络模型GoogleNet对乐器进行分类;SVM和kNN是两种用于特征分类的技术。本文利用最新的算法从各种乐器中提取乐器的特征,对乐器进行简单的分类。本文对kNN与SVM的性能进行了比较。利用支持向量机和kNN分类器对乐器进行识别并计算其准确率,使用支持向量机和GoogleNet对乐器进行分类,准确率达到99%。该系统利用支持向量机和kNN对16种乐器进行精度检测。
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引用次数: 1
Citizens’ Readiness to Use Electronic Voting System in Oyo State, Nigeria 尼日利亚奥约州公民使用电子投票系统的准备情况
Pub Date : 2020-05-05 DOI: 10.51983/ajes-2020.9.1.2373
F. Omotayo
The right to vote, which is identified as one of the fundamental human rights, encourages civic consciousness through political participation. Elections in Nigeria have been found to record low turnout, which has been partly attributed to problems identified with the traditional voting system used in the county. This study investigated the perception of Oyo state citizens about e-voting system, as well as their readiness to use the system. Descriptive survey research design was adopted. Questionnaire data was collected from 390 respondents, while 20 respondents were also interviewed. Questionnaire data were analysed using the Statistical Package for Social Sciences and presented using descriptive statistics in form of frequency, percentage, mean and standard deviation. The interview data was analysed using Nvivo software, version 10. Findings reveal that citizens perceived the current voting system as stressful and not transparent, and that e-voting system would be better than the present voting system because of the advantages associated with technology use. The citizens are ready to use e-voting system, if adopted by Nigerian government. The study recommends that Nigerian government could adopt and implement e-voting system to reduce the huge financial expenses associated with conduct of elections, as well as some other challenges that have been associated with elections in Nigeria.
被确定为基本人权之一的选举权通过政治参与鼓励公民意识。尼日利亚的选举投票率创历史新低,部分原因是该国使用的传统投票制度存在问题。本研究调查了Oyo州公民对电子投票系统的看法,以及他们使用该系统的准备情况。采用描述性调查研究设计。问卷数据收集自390名受访者,同时对20名受访者进行了访谈。使用社会科学统计软件包对问卷数据进行分析,并使用频率、百分比、平均值和标准差形式的描述性统计。访谈数据使用Nvivo软件,版本10进行分析。调查结果显示,公民认为目前的投票系统充满压力且不透明,由于与技术使用相关的优势,电子投票系统将比目前的投票系统更好。如果尼日利亚政府采用电子投票系统,公民们已经准备好使用电子投票系统。该研究建议尼日利亚政府可以采用和实施电子投票系统,以减少与选举相关的巨额财政开支,以及与尼日利亚选举相关的一些其他挑战。
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引用次数: 1
Internet of Things (IoT) and Smart Agriculture: With Reference to Applications and Emerging Concern 物联网(IoT)和智慧农业:参考应用和新兴关注
Pub Date : 2020-05-05 DOI: 10.51983/ajes-2020.9.1.2370
P. Paul, R. R. Sinha
Agricultural Informatics is one of the important emerging domains gaining popularity in recent years. This is simply the application of Information Technology and Computing in Agriculture and allied activities. This is also the combination of ‘Agricultural Science’ and ‘Informatics or Information Science’. This emerging as an interdisciplinary subject and provides solutions for the smarter agriculture and advancement of the agricultural sectors. It is connected with various kinds of information and technological tools. In the recent past, various IT components have emerged and all these are responsible for the agricultural activities leading to cultivation; its enhancement, productivity, quality, cleanliness, efficiency, post agricultural activities. The Agricultural Informatics is responsible for the design, development, management and implementation of the advanced and intelligent agricultural systems, that may call as ‘Smart Agriculture’ or it may be called as ‘Digital Agriculture’. For the creation of such agricultural systems, various emerging Information Technological tools and technologies are emerging and among these important are Cloud Computing, Big Data, Internet of Things (IoT), Robotics & Artificial Intelligence, Human Computer Interaction, etc. Internet of Things (IoT) is applicable in designing and development of healthy and intelligent information systems that are connected with the internet and similar systems. IoT is responsible for various kinds of Agricultural development activities. This paper is conceptual in nature and deals with a brief overview on Agricultural Informatics including evolution, features and role and importance in the concentration of its applications in the creation of ‘Smart Agriculture’ and also emphasized how IoT and similar systems are helpful in promotion of Agricultural activities, intelligent and smarter way. Paper also highlighted about the issues, challenges and concerns on Agricultural Informatics with special reference to its IoT applications in Agriculture towards the promotion of Smart Agriculture.
农业信息学是近年来兴起的重要新兴领域之一。这就是信息技术和计算机在农业及相关活动中的应用。这也是“农业科学”和“信息学或信息科学”的结合。这是一个新兴的跨学科学科,为智慧农业和农业部门的进步提供了解决方案。它与各种信息和技术工具相连。在最近的过去,各种IT组件已经出现,所有这些都负责导致种植的农业活动;其提高,生产力,质量,清洁,效率,后农业活动。农业信息学负责设计、开发、管理和实施先进的智能农业系统,可称为“智能农业”或“数字农业”。为了创建这样的农业系统,各种新兴的信息技术工具和技术正在兴起,其中重要的是云计算、大数据、物联网(IoT)、机器人和人工智能、人机交互等。物联网(Internet of Things, IoT)适用于设计和开发与互联网和类似系统相连的健康智能信息系统。物联网负责各种农业发展活动。本文本质上是概念性的,简要概述了农业信息学的发展,特征和作用,以及在创建“智慧农业”中集中应用的重要性,并强调了物联网和类似系统如何有助于促进农业活动,智能化和更智能的方式。文章还重点介绍了农业信息学的问题、挑战和关注,并特别提到了农业物联网在促进智慧农业方面的应用。
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引用次数: 0
A Study on Optimal Design Feasibility of Microgrid Power System for Rural Electrification: Amhara Region in Ethiopia 埃塞俄比亚阿姆哈拉地区农村电气化微电网电力系统优化设计可行性研究
Pub Date : 2019-11-05 DOI: 10.51983/ajes-2019.8.3.2064
A. Abebe, A. Pushparaghavan, Edmealem Gedefaye
Power system is an essential energy domain in recent years which helps to converts non-electrical energy resources, such as hydraulic, thermal, solar, wind and other natural resources to electrical energy. It conveys the generated power to the consumers via transmission and distribution networks. The conventional power system has many problems, which are significant power loss at the transmission and distribution networks, poor power quality and reliability, and ultimately it is not an environmental friendly. These problems are resolved by using a microgrid which will provide electricity to the consumer economically with improved power quality, reliability, and minimum loss by integrating and optimizing different renewable energy sources. The main objective of this research study is to enable the optimal power provision and feasibility to design a microgrid. Based on this objective of Micro grid power system, the study has extended to deliver electricity to satisfy the location of Ethiopia, Bahir Dar Town, specifically the rural electrification as a model for the interior village Abay Mado-Gedro kebele primary school, health post and local communities demand by enhancing the power quality, reliability and minimum transmission / distribution line losses. The microgrid consists of solar, wind and battery storage sources. It is designed to operate in stand-alone mode of operation. Optimum designing and sizing of different components of the microgrid is taken as major contributions of this research work to the study for the Village Gedro as a rural electrification model. Hence it is observed through the analysis and design using HOMER Optimization tool, the total power consumptions for the site of optimal power is 25 kWh / day and 6 kW peak with the consideration of various environmental parameters like solar radiation, temperature and wind speed. Based on the optimal power energy consumption resulted out that the required various power resources are 7 kW Photo-Voltaic (PV), 3 kW Wind turbine, 104 kWh storage battery and 6 kW converter with the total investment cost $ 75993.
电力系统是近年来发展起来的一个重要的能源领域,它将水力、热能、太阳能、风能等自然资源转化为电能。它通过输电和配电网络将产生的电力输送给消费者。传统的电力系统存在着输配网功率损耗大、电能质量和可靠性差、最终不环保等问题。这些问题都可以通过使用微电网来解决,微电网将通过整合和优化不同的可再生能源,以改善电力质量、可靠性和最小损耗的方式经济地向消费者提供电力。本研究的主要目的是实现微电网的最优供电和可行性设计。基于微电网电力系统的这一目标,该研究已扩展到提供电力,以满足埃塞俄比亚巴希尔达尔镇的位置,特别是农村电气化作为一个模型,通过提高电力质量、可靠性和最小的输电/配电线路损耗,为内陆村庄Abay Mado-Gedro kebele小学、卫生站和当地社区提供电力。微电网由太阳能、风能和电池存储资源组成。它被设计成在独立操作模式下运行。微电网各组成部分的优化设计和规模是本研究工作的主要贡献,以研究作为农村电气化模式的村电。因此,通过使用HOMER优化工具进行分析和设计,在考虑太阳辐射、温度、风速等各种环境参数的情况下,最优功率场地的总耗电量为25 kWh /天,峰值为6 kW。根据最优的电力能耗计算得出,所需的各种电力资源为7 kW的光伏发电、3 kW的风力发电、104 kWh的蓄电池和6 kW的变流器,总投资为75993美元。
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引用次数: 0
期刊
Asian Journal of Electrical Sciences
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