Pertanika Journal of Science and Technology最新文献_第8页

The Mechanical Performance of Polymer Concrete Incorporating Waste Tin Fibres 掺入废锡纤维的聚合物混凝土的力学性能

IF 0.6

Pertanika Journal of Science and Technology Pub Date : 2023-11-24 DOI: 10.47836/pjst.32.1.09

Hosseinkhah Ashkan, Shuhairy Norhisham, Mohd Supian Abu Bakar, A. Syamsir, Mohammed Jalal Abdullah, Muhammad Rizal Muhammad Asyraf, Maiyozi Chairi, Mutiara Yetrina, Jihan Melasari, Muhammad Farid

{"title":"The Mechanical Performance of Polymer Concrete Incorporating Waste Tin Fibres","authors":"Hosseinkhah Ashkan, Shuhairy Norhisham, Mohd Supian Abu Bakar, A. Syamsir, Mohammed Jalal Abdullah, Muhammad Rizal Muhammad Asyraf, Maiyozi Chairi, Mutiara Yetrina, Jihan Melasari, Muhammad Farid","doi":"10.47836/pjst.32.1.09","DOIUrl":"https://doi.org/10.47836/pjst.32.1.09","url":null,"abstract":"Concrete is the most widely used construction material in the world. It is now possible to construct structures out of concrete because this durable compound that consists of water, aggregate, and Portland cement not only gives us many scopes of design but also has a very high compressive strength at a low cost. This paper deals with alternative materials for the most common construction material, cement-based concrete and polymer concrete (PC), containing waste tin fibres. The study covers the fabrication of polymer concrete and the execution of three tests: compressive strength, flexural tensile, and splitting tensile. Tests were conducted to determine the mechanical properties of the PC, and the results were analysed and evaluated on several PC specimens with different ratios of waste tin fibre. The results showed that using waste tin as fibre reinforcement in PC would substantially enhance the overall mechanical performance. Specifically, the optimum amount of waste tin as reinforcement in PC was 0.16% for compressive and splitting tensile strengths, while 0.20% was the optimum fibre loading for the flexural tensile strength. In this case, a positive outcome was found at a constant resin-to-filler ratio of 40:60 by volume and a matrix-to-aggregate ratio of 1:1.35 by weight.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soft Set-based Parameter Reduction Algorithm Through a Discernibility Matrix and the Hybrid Approach for the Risk-Factor Prediction of Cardiovascular Diseases by Various Machine Learning Techniques 基于软集的参数缩减算法--通过可辨别性矩阵和混合方法，利用各种机器学习技术预测心血管疾病的风险因子

IF 0.6

Pertanika Journal of Science and Technology Pub Date : 2023-11-24 DOI: 10.47836/pjst.32.1.16

Menaga Anbumani, Kannan Kaniyaiah

{"title":"Soft Set-based Parameter Reduction Algorithm Through a Discernibility Matrix and the Hybrid Approach for the Risk-Factor Prediction of Cardiovascular Diseases by Various Machine Learning Techniques","authors":"Menaga Anbumani, Kannan Kaniyaiah","doi":"10.47836/pjst.32.1.16","DOIUrl":"https://doi.org/10.47836/pjst.32.1.16","url":null,"abstract":"Parameter reduction without performance degradation is a promising task in decision-making problems. For instance, a great challenge exists in constructing cost functions in gaming theory. Nevertheless, soft set theory handles all its drawbacks conveniently through a new tool for the choice function mathematically. In this paper, we propose an algorithm (SSPRDM) for parameter reduction of soft sets through discernibility matrices, and it is implemented in detecting the risk factor of heart disease problems by using six types of machine learning techniques. The parameters are extracted from the heart disease patient data by the SSPRDM algorithm, and then six machine learning techniques (LDA, KNN, SVM, CART, NB, RF) are performed in the prediction of risk factors for heart disease. The experimental results showed that the present hybrid approach provides an accuracy of 88.46% in the Random Forest technique, whereas the same Random Forest classifier provides an accuracy of 69.23% in the prediction of risk factors of cardiovascular disease (CVD) diagnosis in the earlier work which is a drastic improvement. Moreover, out of 18 parameter reductions, the core component is identified as Total Cholesterol, which is to be considered in all types of CVD diagnosis, whereas Sugar-Fasting (C), Total-Cholesterol (G), and HDL-Cholesterol (I) are the core components identified in three parameter reductions ABCEGHI, ACFGIJ, and BCFGIJK.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Health Risk Assessment of Pollutant Emissions from Coal-fired Power Plant: A Case Study in Malaysia 燃煤发电厂污染物排放的健康风险评估：马来西亚案例研究

IF 0.6

Pertanika Journal of Science and Technology Pub Date : 2023-11-24 DOI: 10.47836/pjst.32.1.10

Mohd Shahril Kamarudin, Abderrahim Zermane, Nur Aliah Fatin Mohd Nizam Ong, Noorazmin Ab Rasid, Shafizah Masuri, Mohd Zahirasri Mohd Tohir

{"title":"Health Risk Assessment of Pollutant Emissions from Coal-fired Power Plant: A Case Study in Malaysia","authors":"Mohd Shahril Kamarudin, Abderrahim Zermane, Nur Aliah Fatin Mohd Nizam Ong, Noorazmin Ab Rasid, Shafizah Masuri, Mohd Zahirasri Mohd Tohir","doi":"10.47836/pjst.32.1.10","DOIUrl":"https://doi.org/10.47836/pjst.32.1.10","url":null,"abstract":"Coal-fired power plants (CFPPs) are Malaysia’s primary electricity source, but their emissions adversely affect human health, organism growth, climate change, and the environment. The carbon, hydrogen, and sulphur content of coal make it a viable option for electricity generation. However, the by-products from leaching, volatilisation, melting, decomposition, oxidation, hydration, and other chemical reactions significantly negatively impact the environment and human health. This study aims to quantify the emissions from a coal-fired power plant, investigate the interplay between different emissions, simulate the dispersion of emissions, and assess their health impact through a health risk assessment. The results indicate that SO2 is the primary contributor to emissions and its impact on human health is a concern. The health effects, both chronic and acute, are more pronounced in children than in adults. This study combines real-time emissions data and simulations to assess emissions’ health impact, raising awareness about the emissions from coal-fired power plants. Furthermore, the findings can potentially enhance working conditions for employees and promote environmental health.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Use of Enhanced Greedy Algorithm for Load Balancing in Cloud Computing 在云计算中使用增强型贪婪算法平衡负载

IF 0.6

Pertanika Journal of Science and Technology Pub Date : 2023-11-24 DOI: 10.47836/pjst.32.1.07

H. Osman, Asma’a Yassin Hammo, Abdulnasir Younus Ahmad

{"title":"Use of Enhanced Greedy Algorithm for Load Balancing in Cloud Computing","authors":"H. Osman, Asma’a Yassin Hammo, Abdulnasir Younus Ahmad","doi":"10.47836/pjst.32.1.07","DOIUrl":"https://doi.org/10.47836/pjst.32.1.07","url":null,"abstract":"Because of the Internet’s phenomenal growth in recent years, computing resources are now more widely available. It led to the development of a new computing concept known as Cloud Computing, allowing users to share resources such as networks, servers, storage, applications, services, software, and data across multiple devices on demand for economical and fast. Load balancing is an important branch of cloud computing as it optimizes machine utilization by distributing tasks equally over resources. It occurs among physical hosts or Virtual Machines in a cloud environment. Round robin is a commonly used algorithm in load balancing. RR gives a time quantum for each task and is in circular order. It is noted that it suffers from many problems, such as the waste of time and the high cost. In the present study, the greedy algorithm was enhanced and implemented to allocate and schedule tasks that come to the cloud on Virtual Machines in balance. The task with the longest execution time is given to the virtual machine with the least load using an improved greedy algorithm. The outcomes demonstrate that the suggested algorithm outperformed round robin in makespan. Also, all Virtual Machines in the proposed algorithm finish their work simultaneously, whereas round robin is unbalanced.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydrocyanic Acid, Protein Concentration, and Phytochemical Compounds of Pulut and White Varieties in Young and Matured Cassava (Manihot Esculenta, Crantz) 幼龄和成熟木薯(Manihot Esculenta, Crantz)果肉和白色品种的氢氰酸、蛋白质浓度和植物化学成分

Pertanika Journal of Science and Technology Pub Date : 2023-11-06 DOI: 10.47836/pjst.32.1.04

Sarah Idris, Rosnah Shamsudin, Mohd Zuhair Mohd Nor, Mohd Noriznan Mokhtar, Siti Salwa Abd Gani

{"title":"Hydrocyanic Acid, Protein Concentration, and Phytochemical Compounds of Pulut and White Varieties in Young and Matured Cassava (Manihot Esculenta, Crantz)","authors":"Sarah Idris, Rosnah Shamsudin, Mohd Zuhair Mohd Nor, Mohd Noriznan Mokhtar, Siti Salwa Abd Gani","doi":"10.47836/pjst.32.1.04","DOIUrl":"https://doi.org/10.47836/pjst.32.1.04","url":null,"abstract":"In Malaysia, there is a demand and a promising market for cassava (Manihot esculanta, Crantz) leaves as a supplementary animal feed because of their nutritional value and availability throughout the year. However, cyanide accumulation has been a problem due to its toxicity in animal feed; therefore, finding the best variety with low cyanide, high protein, and phytochemical content can address this issue. The hydrocyanic (HCN) contents were analyzed for two local varieties, White and Pulut cassava, distinguished from leaf shapes and the color of the leaf petioles. Young leaves were identified from the plant’s top leaves, while matured leaves were defined from the plant’s bottom leaves. Two-way ANOVA was conducted to determine the interaction between the maturity and variety of cassava leaves for the cyanide and protein concentrations with Tukey’s multiple ranges to observe the significant difference at p < 0.05. The findings indicated significant differences in the HCN content of cassava leaves between different maturities, while other varieties significantly affected protein concentration. The maturity and variety of cassava leaves showed significant interactions with the HCN content. The young Pulut variety had the highest protein concentration and low HCN content. Thus, it is the best option as an animal feed by reducing its HCN content and maintaining its total phenolic (TPC) and total flavonoid content (TFC). The results imply that variety, as well as maturity, have significant effects on the protein and cyanide concentration of cassava leaves.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135585288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space 非结构受限空间非完整移动机器人导航的纯追踪算法参数分析

Pertanika Journal of Science and Technology Pub Date : 2023-11-06 DOI: 10.47836/pjst.32.1.06

Izzati Saleh, Azwati Azmin, Azan Yunus, Wan Rahiman

引用次数: 0

Attention-based Spatialized Word Embedding Bi-LSTM Model for Sentiment Analysis 基于注意力的空间词嵌入Bi-LSTM情感分析模型

Pertanika Journal of Science and Technology Pub Date : 2023-11-06 DOI: 10.47836/pjst.32.1.05

Kun Zhu, Nur Hana Samsudin

{"title":"Attention-based Spatialized Word Embedding Bi-LSTM Model for Sentiment Analysis","authors":"Kun Zhu, Nur Hana Samsudin","doi":"10.47836/pjst.32.1.05","DOIUrl":"https://doi.org/10.47836/pjst.32.1.05","url":null,"abstract":"Movie reviews provide a medium of communication for the movie fans community. Movie reviews not only help viewers and potential viewers to obtain a general opinion about a movie but also allow the fans to construct an opinion of the movie. In this work, an analysis of over 60,000 movie reviews has been implemented to find meaningful text representation via text embedding. We improved the text embedding by proposing an attention-based Bidirectional Long-Short Term Memory (Bi-LSTM) network by using over 60,000 movie review text data as the training set and over 20,000 movie review text data as the testing set. Based on the data features, we performed a probabilistic analysis of the information related to words and phrases, combined the analysis results with text embedding, spatialized the text embedding, and compared the performance of the proposed attention-based spatialized word embedding Bi-LSTM model with several traditional machine learning models. The attention-based spatialized word embedding Bi-LSTM model proposed in this paper achieves an F1 score of 0.91 on the movie review sentiment classification dataset, with a prediction accuracy of 91%, outperforming the results of the current state-of-the-art research. The model can effectively identify the sentimental tendencies of movie reviews and use the analyzed sentimental tendencies to guide consumers in their consumption and obtain feedback on movie content.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135585713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physicochemical Impacts on Bacterial Communities in Putrajaya Lake, Malaysia 马来西亚普特拉贾亚湖细菌群落的理化影响

Pertanika Journal of Science and Technology Pub Date : 2023-11-06 DOI: 10.47836/pjst.32.1.01

Nurul Najwa Farihah Mat Lazim, Afiqah Mohamed, Zana Ruhaizat Zana Rudin, Fatimah Md Yusoff, Ikhsan Natrah, Shahrizim Zulkifly

{"title":"Physicochemical Impacts on Bacterial Communities in Putrajaya Lake, Malaysia","authors":"Nurul Najwa Farihah Mat Lazim, Afiqah Mohamed, Zana Ruhaizat Zana Rudin, Fatimah Md Yusoff, Ikhsan Natrah, Shahrizim Zulkifly","doi":"10.47836/pjst.32.1.01","DOIUrl":"https://doi.org/10.47836/pjst.32.1.01","url":null,"abstract":"This study determines the associations between the bacterial communities and water physicochemical parameters in Putrajaya Lake and Putrajaya Wetlands Park, Malaysia. Bacterial communities were assessed by metagenomics of the 16S rRNA gene from lake water input, central wetlands, and primary lake area. Water samples (n=18) were collected during two different periods: post-high rainfall events (samples collected in May) and dry periods (July). The data revealed that bacterial communities of the three sites were taxonomically distinct and associated with different environmental parameters. However, no significant differences were found between the wet and dry periods. Alpha diversity analyses revealed the highest index in May 2018 in the constructed wetlands (H’= 5.397) than those from water input or primary lake (p<0.05). Overall, 49 phyla, 147 classes, 284 orders, 471 families, 778 genera and 62 species of bacteria were identified. Verrumicrobia and Firmicutes showed a strong positive correlation with ammonia-nitrogen (r = 0.709). Actinobacteria and Cyanobacteria had a moderate positive correlation with nitrate with r value (r = 0.673) and (r = 0.647), respectively. In this study, the metagenomics of the 16S rRNA gene amplicon by Illumina MiSeq has successfully identified the bacterial community assemblage in Putrajaya Lake and wetlands. Bacterial composition was associated with the availability of physicochemical properties of specific sites. The effectiveness of the engineered wetlands of Putrajaya in bioremediation was demonstrated by the marked decrease in certain nutrient concentrations from lake water input to the primary lake area.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135585714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Maximising Hardware Resources and Design Efficiency via High-Speed Implementation of HMAC based on SHA-256 Design 基于SHA-256设计的HMAC高速实现实现硬件资源和设计效率最大化

Pertanika Journal of Science and Technology Pub Date : 2023-11-06 DOI: 10.47836/pjst.32.1.02

Shamsiah Suhaili, Norhuzaimin Julai, Rohana Sapawi, Nordiana Rajaee

{"title":"Towards Maximising Hardware Resources and Design Efficiency via High-Speed Implementation of HMAC based on SHA-256 Design","authors":"Shamsiah Suhaili, Norhuzaimin Julai, Rohana Sapawi, Nordiana Rajaee","doi":"10.47836/pjst.32.1.02","DOIUrl":"https://doi.org/10.47836/pjst.32.1.02","url":null,"abstract":"Some applications, such as Message Authentication Code (MAC), rely on different hashing operations. There are various hash functions, including Message-Digest 5 (MD5), RACE Integrity Primitives Evaluation Message Digest 160 (RIPEMD-160), Secure Hash Algorithm 1 (SHA-1), and Secure Hash Algorithm 256 (SHA-256), among others. The network layer is the third of seven layers of the Open Systems Interconnection (OSI) concept, also known as the Internet. It handles network addressing and physical data routing. Nowadays, enhanced internet security is necessary to safeguard networks from illegal surveillance. As a result, Internet Protocol Security (IPsec) introduces secure communication across the Internet by encrypting and/or authenticating network traffic at the IP level. IPsec is an internet-based security protocol. Encapsulating Security Payload (ESP) and Authentication Header (AH) protocols are separated into two protocols. The MAC value is stored in the authentication data files of the Authentication Header and Encapsulating Security Payload. This article analyses a fast implementation of the Hash-based Message Authentication Code (HMAC), which uses its algorithm to ensure the validity and integrity of data to optimise hardware efficiency and design efficacy using the SHA-256 algorithm. During data transfer, HMAC is critical for message authentication. It was successfully developed using Verilog Hardware Description Language (HDL) code with the implementation of a Field Programmable Gate Array (FPGA) device using the Altera Quartus II Computer-Aided Design (CAD) tool to enhance the maximum frequency of the design. The accuracy of the HMAC design, which is based on the SHA-256 design, was examined and confirmed using ModelSim. The results indicate that the maximum frequency of the HMAC-SHA-256 design is approximately 195.16 MHz.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135585710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Natural Ventilation on Thermal Performance of Different Residential Building Forms in the Hot-dry Climate of Jordan 约旦干热气候下自然通风对不同居住建筑热工性能的影响

Pertanika Journal of Science and Technology Pub Date : 2023-11-06 DOI: 10.47836/pjst.32.1.03

Esraa Shehadeh Abbaas, Mazran Ismail, Ala’eddin Ahmad Saif, Muhamad Azhar Ghazali

{"title":"Effect of Natural Ventilation on Thermal Performance of Different Residential Building Forms in the Hot-dry Climate of Jordan","authors":"Esraa Shehadeh Abbaas, Mazran Ismail, Ala’eddin Ahmad Saif, Muhamad Azhar Ghazali","doi":"10.47836/pjst.32.1.03","DOIUrl":"https://doi.org/10.47836/pjst.32.1.03","url":null,"abstract":"This work presents a simulation study on the impact of natural ventilation on the thermal performance and thermal comfort of residential buildings of different forms in the hot-dry climate of Amman, the capital of Jordan. Three existing triple-storey residential buildings with different forms, i.e., rectangular, L-shape, and U-shape, are taken as case studies. Models with similar construction and dimensions of the buildings under investigation are designed using the OpenStudio plugin SketchUp software. Two rooms within these buildings have been considered for simulation with the aid of the EnergyPlus simulator for two cases: the basic case with no ventilation and the case with ventilation. The thermal parameters, including the air temperature, relative humidity, air speed, and mean radiant temperature of both rooms, have been extracted from the simulation. The thermal performance of these buildings is analyzed based on the indoor air temperature and mean radiant temperature, while the thermal performance is investigated via the ASHRAE-55 adaptive model. The results show that the rectangular-shaped building has the best thermal performance in unventilated conditions for the middle room on the middle floor (Room 1). In contrast, the U-shape shows better results for the west-northern room on the same floor (Room 2). On the other hand, introducing natural ventilation to the buildings reduces the indoor temperature and, subsequently, enhances the thermal performance where the buildings transform to be within the comfort zone most of the time, according to the ASHRAE-55 adaptive model. Generally, rectangular and U-shaped buildings show comparable thermal performance, while L-shaped buildings have relatively the worst performance.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135585501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0