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Optimizing Solar Power Generation for Residential Loads in Remote Regions of Indonesia 为印度尼西亚偏远地区的住宅负载优化太阳能发电
Pub Date : 2024-08-09 DOI: 10.56532/mjsat.v4i3.355
Agung Nugraha, Rico Armadan, Taryo
The increasing energy demand in Indonesia, driven by rapid technological advancements across various industries and a growing population, necessitates the exploration of alternative energy sources. The reliance on traditional Steam Power Plants has contributed to rising greenhouse gas emissions and increasing operational costs, prompting the need for cleaner and more sustainable energy solutions. Solar energy emerges as a promising alternative to address these challenges. This study focuses on developing a solar power generation system capable of meeting the electrical energy needs in isolated areas. Using the PVsyst application, a new renewable energy system was designed to cater to the electricity requirements of residential homes. The study findings indicate that the system can generate 13,683 watts of electrical energy using eight solar panels, each with a capacity of 330 Wp. Additionally, the system includes 15 batteries with a capacity of 250 Ah to store energy. The designed system successfully meets the daily electricity demand of 8,210 watts for residential homes. To maximize solar energy absorption, the optimal tilt angle for the solar panels was determined to be 7 degrees. This study demonstrates that solar power generation systems are a viable and effective alternative for fulfilling electrical energy needs in isolated areas, offering a sustainable solution to reduce greenhouse gas emissions and reliance on conventional power sources.
在各行各业技术快速进步和人口不断增长的推动下,印尼的能源需求日益增长,因此有必要探索替代能源。对传统蒸汽发电厂的依赖导致温室气体排放量上升,运营成本增加,因此需要更清洁、更可持续的能源解决方案。太阳能是应对这些挑战的一种前景广阔的替代能源。本研究的重点是开发能够满足偏远地区电力需求的太阳能发电系统。利用 PVsyst 应用程序,设计了一个新的可再生能源系统,以满足居民家庭的用电需求。研究结果表明,该系统使用 8 块太阳能电池板,每块电池板的发电能力为 330 瓦,可产生 13,683 瓦的电能。此外,该系统还包括 15 个容量为 250 Ah 的蓄电池,用于储存能量。所设计的系统成功地满足了住宅每天 8210 瓦的用电需求。为了最大限度地吸收太阳能,太阳能电池板的最佳倾斜角度被确定为 7 度。这项研究表明,太阳能发电系统是满足偏远地区电力需求的一个可行而有效的替代方案,为减少温室气体排放和对传统能源的依赖提供了一个可持续的解决方案。
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引用次数: 0
A Review on the Framework for Identifying High-yielding and Stress-tolerant Oil Palm with Molecular Markers 利用分子标记鉴定高产和抗逆油棕榈树的框架综述
Pub Date : 2023-09-01 DOI: 10.56532/mjsat.v3i3.172
Fatini Nadhirah Mohd Nain, Najihah Ahmad Latif, N. H. Ahamed Hassain Malim, Rosni Abdullah, Muhamad Farid Abdul Rahim, Mohd Azinuddin Ahmad Mokhtar, Nurul Syafika Mohamad Fauzi
The various molecular markers employed in breeding programs have been identified in the last decade of the 20th century. Molecular marker development has significantly altered genetics. Molecular markers are not only utilised in connecting diagrams, but often involved during genetic differences in cultivars and germplasm evaluations in various plant breeding applications. Quantitative trait loci (QTL) and marker-assisted selection (MAS) are among the most interesting molecular markers utilisation. This review primarily aims to offer the knowledge required for the survival of plants developed via new molecular marker techniques and genetic modification implementation in oil palm breeding. Research in palm breeding is critical to gain insights into oil palm growth. This study could serve as a useful guide to understand oil palm development studies and improve existing prediction methods. Genetic markers crucial for oil palm development are also highlighted in the present study. Furthermore, a study gap was also identified.
育种计划中使用的各种分子标记是在 20 世纪最后十年确定的。分子标记的发展极大地改变了遗传学。分子标记不仅用于连接图谱,还经常用于各种植物育种应用中的栽培品种遗传差异和种质评价。定量性状位点(QTL)和标记辅助选择(MAS)是分子标记最有趣的应用之一。本综述的主要目的是提供在油棕育种中通过新的分子标记技术和转基因技术培育的植物成活所需的知识。棕榈育种研究对于深入了解油棕生长至关重要。本研究可作为了解油棕生长研究和改进现有预测方法的有用指南。本研究还强调了对油棕生长至关重要的遗传标记。此外,本研究还发现了一个研究空白点。
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引用次数: 0
Neuroscience Data Formats, Models, Repositories and Analytics: A Review 神经科学数据格式、模型、存储库和分析:综述
Pub Date : 2023-07-04 DOI: 10.56532/mjsat.v3i3.155
Sze Wei Fong, Nurfaten Hamzah, N. H. Ahamed Hassain Malim, J. M. Abdullah
As neurotechnologies have gotten better, a lot of neuroscientific research has been done using these new technologies. Even though labs all over the world produce a lot of neuro-data, most of this data has not been shared to help people from different fields understand neuroscience. The neuro-data sharing is essential because it accelerates the pace of discovery in neuroscience. Effective data sharing will depend on the standardized use of file or data formats, highly reusable data analytics tools, and data storage formats. In this review paper, we review the four domains (data format, data model, data repository, and data analytics) that are currently in use in the neuroscience community. In the end, we are discussing several challenges associated with data sharing.
随着神经技术的发展,人们利用这些新技术开展了大量神经科学研究。尽管世界各地的实验室都产生了大量的神经数据,但这些数据大多没有得到共享,无法帮助不同领域的人们了解神经科学。神经数据共享至关重要,因为它能加快神经科学的发现步伐。有效的数据共享取决于文件或数据格式、高度可重用的数据分析工具和数据存储格式的标准化使用。在这篇综述论文中,我们回顾了神经科学界目前使用的四个领域(数据格式、数据模型、数据存储库和数据分析)。最后,我们将讨论与数据共享相关的几个挑战。
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引用次数: 0
One-pot Low-Temperature Synthesis of High Crystalline Cu Nanoparticles 低温一锅法合成高结晶铜纳米颗粒
Pub Date : 2023-06-03 DOI: 10.56532/mjsat.v3i2.132
Md. Ashraful Alam, Mobashsara Tabassum Mobashsara, Sabrina Mostofa Sabrina, Raton Kumar Bishwas, Debasish Sarkar Debasish, Shirin Akter Jahan Shirin
This research work has developed a classic method to synthesize high crystalline ~50nm copper (Cu) nanoparticles at a low temperature of 80oC. While nanoparticle synthesis is a concern, a rapid chemical reduction method (CRM) was introduced by reducing copper salts and an appropriate capping agent. The capping agent facilities controlled the movement and formation of nanoparticles that were further investigated by X-ray Diffraction (XRD), Thermo-gravimetric Analysis (TGA), Transmission Electron Microscope (TEM), and Selected Area Electron Diffraction (SAED) as well as TEM couple EDS. The such in-depth analysis demonstrates a 100% crystalline phase with having to predominate (111), (200), and (220) planes and 84% purity. The medium and process protocol selection may be adapted to synthesize other nanoparticles for different functional applications.
本研究开发了一种在低温80℃下合成高结晶~50nm铜纳米粒子的经典方法。虽然纳米颗粒的合成是一个问题,但通过还原铜盐和适当的封盖剂,介绍了一种快速化学还原方法(CRM)。通过x射线衍射(XRD)、热重分析(TGA)、透射电子显微镜(TEM)、选择区域电子衍射(SAED)以及TEM偶联能谱仪(EDS)进一步研究了封盖剂设施控制纳米颗粒的运动和形成。这种深入的分析表明,100%的结晶相必须以(111)、(200)和(220)层为主,纯度为84%。介质和工艺方案的选择可以适应于合成其他纳米颗粒的不同功能应用。
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引用次数: 1
Design and Implementation of a Smart Safety System for Rental Cars Using IoT and E-Commerce Mobile App Integration for IIUM Community 基于物联网和电子商务移动应用的租车智能安全系统的设计与实现
Pub Date : 2023-06-03 DOI: 10.56532/mjsat.v3i2.156
Muhammad Zaid, Hazim Johari, Mohamadinejad Amir, Syakirin Shafie, A. Zainuddin, Abu Ubaidah, Ammar Haziq Annas, M. Syafiq, Asyraf Bharudin, Mohamad Nur, Badri Mahazir, Alin Nur, Maisarah Ahmad Razmi, Nur Anis, Sofea Kamarul Zaman, Nur Adlin, Muhammad Zahid
Traditional car rental systems are cumbersome for both consumers and rental companies due to the manual and time-consuming nature of the process. This work proposes the integration of a car rental system using mobile app administration and IoT (accident detection system) to address this issue. The system consists of an e-commerce platform and an IoT-powered Accident Detection System. The e-commerce platform enables users to rent automobiles and make payments online, while the Accident Detection System assists car owners in identifying any incidents involving rented vehicles. A Google survey conducted among the IIUM community (consisting primarily of students and staff) revealed that 96% of users and 100% of vehicle owners are in favour of a mobile application for car rentals and the installation of an accident detection system in rental cars. Through simulation, seat belt detection and accident detection have been developed, and future include implementing real-time monitoring using IoT technology to monitor rental compliance, locate vehicles requiring maintenance, and locate stolen vehicles. The proposed system has the potential to make automobile rental services more convenient and secure.
传统的汽车租赁系统对消费者和租赁公司来说都很麻烦,因为这个过程需要人工操作和耗时。这项工作提出了使用移动应用程序管理和IoT(事故检测系统)集成汽车租赁系统来解决这个问题。该系统由一个电子商务平台和一个物联网驱动的事故检测系统组成。该电子商务平台允许用户在线租车和付款,而事故检测系统则帮助车主识别任何涉及租赁车辆的事故。谷歌在IIUM社区(主要由学生和工作人员组成)中进行的一项调查显示,96%的用户和100%的车主赞成汽车租赁的移动应用程序,并在租赁汽车中安装事故检测系统。通过模拟,安全带检测和事故检测已经开发出来,未来还包括使用物联网技术实施实时监控,以监控租赁合规性,定位需要维护的车辆,以及定位被盗车辆。建议的系统有可能使汽车租赁服务更加方便和安全。
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引用次数: 0
Blockchain based Agriculture Using the Application of UAV and Deep Learning Technique: Alexnet CNN 基于区块链的农业利用无人机和深度学习技术的应用:Alexnet CNN
Pub Date : 2023-05-27 DOI: 10.56532/mjsat.v3i2.147
Sadia Kazi, Ariyan Jahangir
Due to the warm and humid environment of Bangladesh, it is highly exposed to occurring perpetuation of various viruses which cause diseases in crops. A huge number of crops are wasted because of these occurring diseases and it directly hurts the production rate and forces import of crops in bulkier amount. Unmanned aerial vehicle usage is one of the smart agriculture technologies being researched for agricultural applications (UAVs) in these days. UAV technology allows farmers to quickly gather information on field conditions by providing overhead images of their agricultural fields or even allowing them to zoom in on a particular area. Using UAV technology, farmers may identify specific areas that need immediate attention and perform the necessary agricultural improvements. Drones collect data that farmers can use to detect crop disease by applying deep learning algorithms to make long-term decisions about planting, land mapping, damage control, and other things. This research uses blockchain technology to establish connection between suppliers and customers by enabling information to be tracked throughout the supply chain and enhances food supply chain safety. It offers a secure method of broadcasting data, focusing on enhancement of supply chain management and prediction of crops which makes it possible to implement and deploy data-driven technologies for smart farming. The research uses UAVs as a means of collecting crop images, implements a prediction model using AlexNet CNN and analyses how it performs with a real Bangladeshi crop disease dataset to help farmers from excessive crop damage. Furthermore, the overall process is carried out using the Blockchain technology to enhance the existing supply chain management process.
由于孟加拉国温暖潮湿的环境,它高度暴露于导致作物疾病的各种病毒的持续存在。由于这些疾病的发生,大量的作物被浪费,这直接影响了产量,迫使作物大量进口。无人机使用是目前正在研究的智能农业技术之一,用于农业应用(uav)。无人机技术允许农民通过提供农田的头顶图像,甚至允许他们放大特定区域,从而快速收集田间情况信息。使用无人机技术,农民可以确定需要立即关注的特定区域,并进行必要的农业改进。无人机收集数据,农民可以利用深度学习算法来检测作物病害,从而做出有关种植、土地测绘、损害控制等方面的长期决策。本研究使用区块链技术,通过在整个供应链中跟踪信息,建立供应商和客户之间的联系,提高食品供应链的安全性。它提供了一种安全的数据广播方法,重点是加强供应链管理和作物预测,这使得实施和部署数据驱动的智能农业技术成为可能。该研究使用无人机作为收集作物图像的手段,使用AlexNet CNN实现了一个预测模型,并分析了它如何与真实的孟加拉国作物疾病数据集一起执行,以帮助农民免受过度的作物损害。此外,整个流程使用区块链技术进行,以增强现有的供应链管理流程。
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引用次数: 0
Evaluation of the impact of untreated cassava mill effluent on the physicochemical properties of the soil in Aba, Abia State, Nigeria. 评价未经处理的木薯厂废水对尼日利亚阿比亚州阿坝土壤理化性质的影响。
Pub Date : 2023-05-27 DOI: 10.56532/mjsat.v3i2.153
Rosemary Eberechukwu Okoye, Onuorah Samuel, Abba Oluchi
Samples of fresh cassava effluent, cassava effluent polluted soil and unpolluted soil were collected during the rainy season to evaluate the effect on the physicochemical characteristics of the soil in Aba, Abia State. The physical and chemical parameters of the untreated cassava mill effluent, untreated cassava mill effluent-polluted soil and unpolluted soil were determined using standard laboratory methods. It was observed that addition of cassava mill effluent to the soil resulted to changes in the physicochemical parameters. The cyanide content, conductivity, turbidity, moisture content, TDS, TSS, TS, total acidity, total alkalinity, total chloride, and magnesium were higher in the contaminated soil samples than the unpolluted soil. The values of pH, Total hardness, calcium hardness, phosphorus, organic carbon, COD and BOD of the contaminated soil samples were lower than those of the unpolluted soil due to high content of hydrogen cyanide present in the contaminated soil. The high cynogenic potential had been attributed to the high cyanogenic glucoside (linamarin and lotaustralin) contained in cassava. The pH range of the untreated cassava mill effluent and the untreated cassava mill effluent polluted soil were completely acidic while the unpolluted soil was neutral indicating that the effluent impacted acidic properties to the soil. Phosphorus buildup in the unpolluted soil can be caused by excessive use of inorganic fertilizer or use of composts and manures high in phosphorus. The effluent from cassava plant when discharged on soil causes physicochemical changes in the soil, which calls for serious concern if the soil will be used for agricultural and other purposes. Therefore, cassava mills must be owned and managed by individuals who have basic knowledge of environmental protection.
在阿比亚邦阿坝,雨季采集新鲜木薯流出物、木薯流出物污染土壤和未污染土壤样品,评价木薯流出物对土壤理化特性的影响。采用标准的实验室方法测定了木薯加工废水、木薯加工废水、污染土壤和未污染土壤的理化参数。研究发现,木薯厂废水加入土壤后,土壤理化参数发生了变化。污染土壤样品的氰化物含量、电导率、浊度、含水量、TDS、TSS、TS、总酸度、总碱度、总氯化物和镁含量均高于未污染土壤。由于氰化氢含量较高,污染土壤样品的pH、总硬度、钙硬度、磷、有机碳、COD和BOD值均低于未污染土壤。木薯具有较高的致氰潜能,主要是由于木薯中含有较高的致氰糖苷(亚麻苦素和lotaustralin)。未经处理的木薯厂废水和未经处理的木薯厂废水污染土壤的pH值范围为完全酸性,而未经处理的土壤的pH值范围为中性,说明废水对土壤的酸性影响。在未受污染的土壤中,磷的积累可能是由于过度使用无机肥料或使用高磷的堆肥和粪肥造成的。木薯厂的废水排放到土壤中会引起土壤的理化变化,如果将土壤用于农业和其他目的,这需要引起严重关注。因此,木薯厂必须由具有基本环保知识的个人拥有和管理。
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引用次数: 0
Abandoned Mines: A Feasibility Analysis for Full-Scale Resuscitation of Redwing Gold Mine Operations 废弃矿山:红翼金矿全面复苏的可行性分析
Pub Date : 2023-05-27 DOI: 10.56532/mjsat.v3i2.136
Elia Chipfupi, Desire Runganga, Tatenda Nyamagudza, C. Chewu, Nomsa Mukudzavu
Redwing Mine, historically one of the major gold mines in Zimbabwe operated by Metalon Gold has since been on the brink of closure for over five years. Currently, the mine is merely operating at 10% capacity due to the issuing of mining tributes to small-scale and artisanal miners and poor water management. The artisanal miners are sterilizing an economically viable gold deposit by employing rudimentary mining techniques targeting high grades hence resuscitating the mine should be of national priority. To increase production, revenue, and accountability, the mine needs to be resuscitated to its full operation based on sound mining engineering and economic principles. Resuscitation of abandoned mines to full operation consist of reserve identification, dewatering, review of the ground support system and production planning. Exploration, water measurements, and geotechnical data collection surveys were done to estimate the reserve, select optimum pumps for dewatering and design a ground support system. Production Plans were developed from Redwing Mine’s plant capacity, available machinery, and historical production data. Development work and operations necessary to be completed before production can begin were derived from survey plans. The restoration program was evaluated using the Net Present Value method and Internal Rate of Return techniques. Results proved that the project is economically feasible with an internal rate of return as high as 71.91%.
Redwing矿,历史上是津巴布韦主要的金矿之一,由Metalon gold经营,自那以后,五年多来一直处于关闭的边缘。目前,由于向小规模和手工矿工发放采矿贡品以及水资源管理不善,该矿的开工率仅为10%。手工采矿者采用初级采矿技术对一个经济上可行的金矿进行消毒,目标是高品位,因此恢复该矿应该是国家的优先事项。为了增加产量、收入和问责制,矿山需要在健全的采矿工程和经济原则的基础上恢复其全面运作。废弃矿山的全面恢复包括储量识别、脱水、地面保障系统审查和生产计划。进行了勘探、水测量和岩土数据收集调查,以估计储量,选择最佳的脱水泵和设计地面支撑系统。生产计划是根据Redwing矿山的工厂产能、可用机械和历史生产数据制定的。在生产开始之前,开发工作和必要的操作都是根据调查计划完成的。利用净现值法和内部收益率技术对修复方案进行评估。结果表明,该项目经济可行,内部收益率高达71.91%。
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引用次数: 0
Causes and Impact of Industrial Effluents on Receiving Water Bodies: A Review 工业废水对接收水体的原因及影响综述
Pub Date : 2023-05-27 DOI: 10.56532/mjsat.v3i2.144
Sarwat Jahan, Ajay K. Singh
Industrial development has begun to have a negative impact on the entire environment. The constant need and agreed of humans has resulted in the formation of massive polluting industries. Manufacturing, chemical and fertilizer industries are among those that are depleting the earth’s resources while also putting enormous strain on the environment and ecological system. Water pollution is well-known to be a growing problem of 21st century all over the earth. The planet’s natural diversity is affect seriously by any human activity. Rapid industrialization is an index of development of a nation, however; a rising in population growth alters it unfavorably. India, a developing nation has a challenge of maintaining a balance between these and the environment. In India, there has been a rapid growth in industrialization after freedom. The aims of this review paper represent the link between industrial effluents and define sources of water pollution present development in the research on the fresh water aquatic ecosystems.
工业发展已经开始对整个环境产生负面影响。人类不断的需求和同意导致了大规模污染工业的形成。制造业、化学工业和化肥工业正在消耗地球资源,同时也给环境和生态系统带来巨大压力。众所周知,水污染是21世纪全球日益严重的问题。地球的自然多样性受到任何人类活动的严重影响。然而,快速工业化是一个国家发展的一个指标;人口增长的增加改变了这一趋势。作为一个发展中国家,印度面临着保持这些与环境之间平衡的挑战。在印度,自由之后工业化发展迅速。本文综述了近年来淡水水生生态系统研究中工业废水之间的联系和水污染的来源。
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引用次数: 0
Distribution Path Segmentation Using Route Relocation and Savings Heuristics for Multi-Depot Vehicle Routing 基于路径重新定位和节省启发式的多车场车辆路径分配路径分割
Pub Date : 2023-05-07 DOI: 10.56532/mjsat.v3i2.154
F. Morsidi
This paper uses routing segmentation optimization for the planning of optimal distribution networks between urban depots and their respective customers. In this experiment, three steps are proposed in concession: search for the initial solution using local search properties, improve the solution using route relocation and perturb the solution using tabu search incorporating the savings heuristic. By applying multi-depot simultaneous deployment with ideal scheduling strategies and routing heuristics ensuring cost-optimal routing, the study presents an alternative to enhanced scheduling system optimization. Based on repopulation and sequential insertion algorithms, the initial solution is created, while route relocation and tabu swap mechanisms constitute the improvement strategy and perturbation. Test results comparing the proposed solution strategy to the previous genetic algorithm solution result in a better arrangement of route segregation aspects representing customer clusters. This strategy has proven to be more successful in optimizing route segregation than the original genetic algorithm solution. This demonstrates a significant improvement in route optimization.
本文采用路线分段优化方法对城市仓库与客户之间的最优配电网进行规划。在本实验中,提出了三个步骤:利用局部搜索属性搜索初始解,利用路径重新定位改进解,利用结合节省启发式的禁忌搜索扰动解。通过应用多车辆段同时部署的理想调度策略和保证成本最优的路由启发式方法,提出了一种增强调度系统优化的替代方案。基于重新填充和顺序插入算法创建初始解,路径重定位和禁忌交换机制构成改进策略和扰动。测试结果表明,将提出的解决方案与先前的遗传算法解决方案进行比较,可以更好地安排代表客户集群的路由隔离方面。事实证明,该策略在优化路径隔离方面比原遗传算法更成功。这表明在路由优化方面有了显著的改进。
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引用次数: 1
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Malaysian Journal of Science and Advanced Technology
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