Suranaree Journal of Science and Technology最新文献_第9页

MATHEMATICAL MODELLING AND OPTIMIZATION OF POLY-CRYSTALLINE PHOTOVOLTAIC MODULE 多晶硅光伏组件的数学建模与优化

Suranaree Journal of Science and Technology Pub Date : 2023-09-15 DOI: 10.55766/sujst-2023-03-e02351

A. Tiwari, Sanjay K Sharma, V. Kalamkar

{"title":"MATHEMATICAL MODELLING AND OPTIMIZATION OF POLY-CRYSTALLINE PHOTOVOLTAIC MODULE","authors":"A. Tiwari, Sanjay K Sharma, V. Kalamkar","doi":"10.55766/sujst-2023-03-e02351","DOIUrl":"https://doi.org/10.55766/sujst-2023-03-e02351","url":null,"abstract":"This work proposes modeling and optimization of poly-crystalline photovoltaic (PV) modules, validated with experiment, using single diode (SDM) and double diode model(DDM). The PV cell is treated as an equivalent electrical circuit with series and shunt resistance. The weather data like temperature and irradiance are used as input variables. The operating current and maximum power point are obtained using three variables: current, voltage, and power. An experiment was set up in Nagpur city, on the Deccan plateau situated in central India. This place is suited for PV installation due to the high average solar insolation period throughout the year. The outputs of the PV model are optimized using a genetic algorithm (GA) and simulated annealing (SA) algorithm and validated against the experiments with variable load conditions. The metaheuristics optimization techniques worked well for this model and improved the accuracy and precision of the current-voltage (I-V) and power voltage (P-V) curves. The present work compares the errors of the SA and GA algorithms used for extracting the five key points of (I -V) curves using the normalized sum of squared errors (NSSE). The proposed model optimization results are in close agreement with experimental results.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139339764","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

A COMPARATIVE STUDY ON SAFETY, EXERGETIC, AND ENVIRONMENTAL ANALYSIS FOR BIOMETHANOL VIA BIOGAS REFORMING 通过沼气转化制取生物甲醇的安全性、能效和环境分析比较研究

Suranaree Journal of Science and Technology Pub Date : 2023-09-15 DOI: 10.55766/sujst-2023-03-e02349

Mattana Santasnachok, Teeranun Nakyai

引用次数: 0

AUTOMATIC BODY DISINFECTION TUNNEL OF COVID‑19 VIRUS WITH TEMPERATURE SCANNER AND UV-C RADIATION 利用温度扫描仪和紫外线-C 辐射对科维德-19 病毒进行人体自动消毒的隧道

Suranaree Journal of Science and Technology Pub Date : 2023-09-15 DOI: 10.55766/sujst-2023-03-e0175

Riky Tri Yunardi, Qurrotul A’yun

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EXTREME LEARNING MACHINE AND CHAOTIC BASED SPHYRAENA CHRYSOTAENIA OPTIMIZATION ALGORITHMS FOR LOSS LESSENING AND POWER STABILITY MAGNIFICATION 基于极端学习机和混沌的 sphyraena chrysotaenia 优化算法，用于降低损耗和提高功率稳定性

Suranaree Journal of Science and Technology Pub Date : 2023-09-15 DOI: 10.55766/sujst-2023-03-e0123

L. Kanagasabai

{"title":"EXTREME LEARNING MACHINE AND CHAOTIC BASED SPHYRAENA CHRYSOTAENIA OPTIMIZATION ALGORITHMS FOR LOSS LESSENING AND POWER STABILITY MAGNIFICATION","authors":"L. Kanagasabai","doi":"10.55766/sujst-2023-03-e0123","DOIUrl":"https://doi.org/10.55766/sujst-2023-03-e0123","url":null,"abstract":"In this paper Extreme Learning Machine and Chaotic based Sphyraena Chrysotaenia Optimization Algorithms are applied for solving the Real Power loss lessening problem. Key objective of this work are Real power loss decreasing, power divergence restraining, and power constancy amplification. Extreme Learning machine and chaotic are integrated in the algorithm to obtain the better solutions. Candidate solutions in the projected Sphyraena Chrysotaenia optimization are Sphyraena Chrysotaenia and population in the inspection region is quixotically enthused. Spasmodically impressive solutions can be erroneous while restructuring the position of inspection agents and renewed positions may be inadequate one than the previous positions so magnificent selection is engaged. Domination comprises recurrence the self-effacing fitting solution to ensuing generation. In Extreme Learning Machine based Sphyraena Chrysotaenia Optimization Algorithm (ELMSC) initial phases of iteration, the Sphyraena Chrysotaenia Optimization Algorithm contestants are diversified in position and exponential standby generates unrestricted impulsive calculations which endow the rudiments to accommodate the entire revelation area. Compatibly, all over end stage of iterations, fundamentals are enclosed by Sphyraena Chrysotaenia Optimization Algorithm contestants and all an optimal condition with equivalent scheme. Chaotic sequences are combined into the Sphyraena Chrysotaenia Optimization Algorithm (CSCO). This amalgamation will augment the Exploration and Exploitation. Tinkerbell chaotic map fabricating tenets are employed. Proposed ELMSC and CSCO are corroborated in IEEE 30, 57, 118, 300, and 354 bus test systems. True power loss lessening, power divergence curtailing, and power constancy augmentation has been achieved. In future proposed ELMSC and CSCO can be applied to solve the others problems in Electrical engineering and also can be applied to resolve the problems in other engineering domains.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139339540","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

MODELING TO PREDICT THE PATIENTS’ POSTOPERATIVE WOMAC SCORE BY FEATURES ENGINEERING AND GRADIENT BOOST TREE 通过特征工程和梯度提升树建模预测患者术后的子宫肌瘤评分

Suranaree Journal of Science and Technology Pub Date : 2023-08-07 DOI: 10.55766/sujst-2023-03-e02049

Saranchai Sinlapasorn, Benjawan Rodjanadid, J. Tanthanuch, Bura Sindhupakorn, Arjuna Chaiyasena

引用次数: 0

OPTIMISATION OF STEEPING AND GERMINATION TIMES ON THE ANTIOXIDANT POTENTIALS OF PIGEON PEA (CAJANUS CAJAN) 浸泡和发芽时间对鸽子豆（cajanus cajan）抗氧化潜力的优化作用

Suranaree Journal of Science and Technology Pub Date : 2023-08-07 DOI: 10.55766/sujst-2023-03-e02053

N. Uchegbu, Eric Okoli, Laura Okpala

{"title":"OPTIMISATION OF STEEPING AND GERMINATION TIMES ON THE ANTIOXIDANT POTENTIALS OF PIGEON PEA (CAJANUS CAJAN)","authors":"N. Uchegbu, Eric Okoli, Laura Okpala","doi":"10.55766/sujst-2023-03-e02053","DOIUrl":"https://doi.org/10.55766/sujst-2023-03-e02053","url":null,"abstract":"In an attempt to maximize the antioxidant potentials of pigeon peas, the effect of steeping and germination times on the antioxidant content and radical scavenging activities of pigeon pea was investigated using response surface methodology. Using the central composite rotatable design (CCRD), pigeon pea seeds were soaked in water (2-28 h) and germinated (9-111 h). Thirteen samples were generated and analyzed for phenols, flavonoids, reducing power, 1, 1, Diphenyl-2-picrylhydrazyl (DPPH) free radical scavenging activity and ferric reducing antioxidant power (FRAP). Results revealed that the quadratic effects of both steeping and fermentation times were significant for predicting the phenols, flavonoids, reducing power, and FRAP while only the steeping time had a significant quadratic effect on DPPH. Significant correlation coefficients (r) were found to exist between the antioxidants and most of the antioxidant activities. The optimum steeping and germination times obtained were 15 and 96 hours respectively; predicted values for phenols, flavonoids, reducing power, and FRAP were 50.09 mg/100g, 26.56mg/100 g, 0.75 µg/ml, and 69.30 µmol/g respectively.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139351438","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

PETROGRAPHY AND AGGREGATE ANALYSIS OF THE CARBONATES FROM THE BABUZAI AREA, PAKISTAN 巴基斯坦巴布扎伊地区碳酸盐岩的岩相学和集合体分析

Suranaree Journal of Science and Technology Pub Date : 2023-08-07 DOI: 10.55766/sujst-2023-03-e02055

Muhammad Yaseen, Muhammad Hamza Khan, Dương Văn Hào, Muhammad Naveed Anjum, Muhammad Jalal, Aqib Javid, Muhmmad Bilal Mehmood

{"title":"PETROGRAPHY AND AGGREGATE ANALYSIS OF THE CARBONATES FROM THE BABUZAI AREA, PAKISTAN","authors":"Muhammad Yaseen, Muhammad Hamza Khan, Dương Văn Hào, Muhammad Naveed Anjum, Muhammad Jalal, Aqib Javid, Muhmmad Bilal Mehmood","doi":"10.55766/sujst-2023-03-e02055","DOIUrl":"https://doi.org/10.55766/sujst-2023-03-e02055","url":null,"abstract":"This study is conducted to evaluate aggregate characteristics and potential of carbonates rocks of the Kashala Formation, Babuzai area Khyber Pakhtunkhwa Pakistan. Physical and chemical tests were performed to assess aggregate suitability. Laboratory tests reveal Los Angeles Abrasion values of 17%, Flakiness and Elongation Index of 13% and 19.7% respectively, and Clay lumps and friable value of 0.12%. Stripping and Coating value greater than 95%, Specific gravity value (2.7-2.9). The aggregate soundness value was logged at 1.28. These parameter values were evaluated through the ASTM (American Society for Testing and Materials) and BS (British Standards) which specify that the Kashala Formation (KF) of the Alpurai group can be the potential source for dimension stone i.e., natural rock material in form of blocks or slabs quarried for commercial purposes, road, and concrete aggregates. The petrographic studies of the selected samples have majorly 70 to 75% of Calcite with an insignificant amount of 20 to 25% dolomite, 5 to 8% quartz along with ores of 1 to 2%. The small number of quartz grains and ore minerals indicate that sample formation is composed of dolomitic marble having a limited amount of deleterious content such as quartz, dolomite, and clays, which suggests that the carbonates have an insignificant threat of ACR (Alkali carbonate reaction) and ASR (Alkali silica reaction). The study indicates that the carbonates of the Babuzai area fall within the standard specification limits and can be used as a source for the indigenous construction industry.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139351487","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

AUTOMATED ACUTE LYMPHOBLASTIC LEUKEMIA CELL CLASSIFICATION USING OPTIMIZED CONVOLUTIONAL NEURAL NETWORK 利用优化的卷积神经网络自动进行急性淋巴细胞白血病细胞分类

Suranaree Journal of Science and Technology Pub Date : 2023-08-07 DOI: 10.55766/sujst-2023-03-e02057

Taffazul H. Choudhury, Bismita Choudhury

引用次数: 0

SUPPORT VECTOR MACHINE MODELS FOR DIABETIC RETINOPATHY DIAGNOSIS AND GRADING 用于糖尿病视网膜病变诊断和分级的支持向量机模型

Suranaree Journal of Science and Technology Pub Date : 2023-08-07 DOI: 10.55766/sujst-2023-03-e02051

Jigme Namgyal, Eckart Schulz

{"title":"SUPPORT VECTOR MACHINE MODELS FOR DIABETIC RETINOPATHY DIAGNOSIS AND GRADING","authors":"Jigme Namgyal, Eckart Schulz","doi":"10.55766/sujst-2023-03-e02051","DOIUrl":"https://doi.org/10.55766/sujst-2023-03-e02051","url":null,"abstract":"This work applies five variants of the support vector machine to the classification of the various stages of nonproliferative diabetic retinopathy. Four hundred eye fundus images from the Messidor repository are preprocessed and thirteen features extracted. The features best suited as inputs for support vector machine classification are identified. Initially, binary classification of severe nonproliferative diabetic retinopathy alone versus a normal eye is performed, achieving an accuracy of 97.44% using the standard support vector machine with Gaussian kernel and when optimized for accuracy. When optimized for sensitivity, the twin bounded support vector machine achieves the highest sensitivity of 99.06%. Then multiclass grading into all four stages of nonproliferative diabetic retinopathy is performed. Best performance with regards to four performance metrics, namely accuracy, sensitivity, specificity, and precision is achieved with the twin bounded support vector machine variant, when one-versus-one decision configuration is used in combination with a novel decision strategy that includes accumulated distances from the decision hyperplanes in the decision algorithm. The results compare favorably with data published in the literature.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139351491","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

A REVIEW ON LASER MACHINING OF ALUMUNIA CERAMIC 铝陶瓷激光加工综述

Suranaree Journal of Science and Technology Pub Date : 2023-08-04 DOI: 10.55766/sujst-2023-03-e0887

Hidayatulah Himawan, Bobby Umroh, Md Nizam Abd Rahman, Mohd Najib Ali Mokhtar, Armansyah Ginting, Irianto Harny, R.L. Muhamud

{"title":"A REVIEW ON LASER MACHINING OF ALUMUNIA CERAMIC","authors":"Hidayatulah Himawan, Bobby Umroh, Md Nizam Abd Rahman, Mohd Najib Ali Mokhtar, Armansyah Ginting, Irianto Harny, R.L. Muhamud","doi":"10.55766/sujst-2023-03-e0887","DOIUrl":"https://doi.org/10.55766/sujst-2023-03-e0887","url":null,"abstract":"Alumina, renowned for its outstanding resistance to corrosion and heat, poses a formidable challenge due to its brittle nature when it comes to machining. Nonetheless, laser machining has emerged as a particularly suitable method for working with hard and brittle materials like alumina. While traditional machining techniques can also be effective, they often necessitate prolonged machining durations and significantly high tool wear rates, thereby driving up the overall machining costs. By employing experimentation and optimization techniques, laser machining technologies such as Nd: YAG lasers, fiber lasers, and CO2 lasers have displayed remarkable efficacy in machining alumina. Notably, CO2 lasers offer distinctive advantages owing to their maximum power output of 45 kW and laser wavelength of 10.6 μm, rendering them suitable for macro material cutting applications. This paper aims to consolidate pertinent information on laser machining of alumina into a single document. The primary focus of this paper revolves around key laser machining parameters, including pulse duration, frequency, peak power, laser power, piercing time, gas pressure, and cutting speed, along with their impact on machining quality aspects such as surface irregularity, kerf width, taper angle, and the Heat-Affected Zone (HAZ).","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139351796","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