Organizations in the current digital era are exposed to a variety of cybersecurity threats that can often result in financial losses and harm to their reputation. Among these threats, ransomware attacks can cause significant damage. Attackers are constantly improving their techniques to bypass security channels, which makes it challenging to monitor and detect the patterns of attacks. Consequently, there is a growing inclination towards employing state-of-the-art techniques to identify and defend during ransomware attacks. Deep learning is a proven technique that can be employed to learn from large complex patterns. However, large datasets are required in the training of deep learning models which is a challenging task. Few-shot learning (FSL) overcomes this limitation by using less data. In this research work, a Siamese network design is developed by incorporating the architectural principles of AlexNet and features of the VGG configuration. The employed methodology enables us to evaluate the inherent resemblances and disparities in the data. This novel methodology demonstrated exceptional performance, with an average accuracy of 97% when compared to various effects and learning rates. The results of the presented study demonstrate the capacity to greatly enhance cybersecurity by providing a scalable and effective approach for detecting ransomware.
{"title":"Enhancing ransomware detection using Siamese network","authors":"","doi":"10.59018/022438","DOIUrl":"https://doi.org/10.59018/022438","url":null,"abstract":"Organizations in the current digital era are exposed to a variety of cybersecurity threats that can often result in\u0000financial losses and harm to their reputation. Among these threats, ransomware attacks can cause significant damage.\u0000Attackers are constantly improving their techniques to bypass security channels, which makes it challenging to monitor and\u0000detect the patterns of attacks. Consequently, there is a growing inclination towards employing state-of-the-art techniques to\u0000identify and defend during ransomware attacks. Deep learning is a proven technique that can be employed to learn from large\u0000complex patterns. However, large datasets are required in the training of deep learning models which is a challenging task.\u0000Few-shot learning (FSL) overcomes this limitation by using less data. In this research work, a Siamese network design is\u0000developed by incorporating the architectural principles of AlexNet and features of the VGG configuration. The employed\u0000methodology enables us to evaluate the inherent resemblances and disparities in the data. This novel methodology\u0000demonstrated exceptional performance, with an average accuracy of 97% when compared to various effects and learning\u0000rates. The results of the presented study demonstrate the capacity to greatly enhance cybersecurity by providing a scalable\u0000and effective approach for detecting ransomware.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702352","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}
In this study, a multilevel linear regression technique based on neural network tailored association is suggested to predict human mental depression. The suggested technique uses a neural network configured for association-based multiple linear regression to forecast the mental depression dataset. The spectrum of depression is predicted using a variety of statistical techniques, including both multiple linear regression and linear regression with neural network tuning. When predicting the severity of depression, tweaked algorithms perform less well. They have been fine-tuned for significant differences in the accuracy, timing, and speed of depression predictions. To address these difficulties, a multiple linear regression solution based on neural network tailored association is suggested. The Multiple linear regression using a neural network that has been tweaked for association yields high compared to other statistical approaches, accuracy prediction is roughly 91%.
{"title":"Predicting mental depression","authors":"","doi":"10.59018/022435","DOIUrl":"https://doi.org/10.59018/022435","url":null,"abstract":"In this study, a multilevel linear regression technique based on neural network tailored association is suggested to predict human mental depression. The suggested technique uses a neural network configured for association-based multiple linear regression to forecast the mental depression dataset. The spectrum of depression is predicted using a variety of statistical techniques, including both multiple linear regression and linear regression with neural network tuning. When predicting the severity of depression, tweaked algorithms perform less well. They have been fine-tuned for significant differences in the accuracy, timing, and speed of depression predictions. To address these difficulties, a multiple linear regression solution based on neural network tailored association is suggested. The Multiple linear regression using a neural network that has been tweaked for association yields high compared to other statistical approaches, accuracy prediction is roughly 91%.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700108","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}
Wearable antennas are designed to function to be worn. These antennas are commonly used in wearable wireless communication. The three-element flexible array antenna is designed with ECE-Shaped slots by using flexible felt material as substrate with a thickness of 3mm, and its permittivity is 1.22 to give good insulation. This array antenna is designed for a frequency of 2.4 GHz with dimensions of 173 mm by 50 mm, and the distance between patches is chosen to be 20 mm. The return loss is at S11 = -15 dB. This design can cover the ISM band and provide good performance. The parameters that are listed from the designed antenna are the reflection coefficient, VSWR, gain, directivity, and specific absorption rate (SAR), which should be less than safety levels. The designed three-element flexible array antenna is applicable for biomedical applications.
可穿戴式天线的设计旨在实现穿戴功能。这些天线通常用于可穿戴无线通信。三元件柔性阵列天线采用 ECE 形槽设计，使用厚度为 3 毫米的柔性毛毡材料作为基板，其介电常数为 1.22，具有良好的绝缘性。该阵列天线的设计频率为 2.4 GHz，尺寸为 173 mm x 50 mm，贴片间距为 20 mm。回波损耗为 S11 = -15 dB。该设计可覆盖 ISM 波段并提供良好的性能。所设计天线的参数包括反射系数、驻波比、增益、指向性和比吸收率（SAR），这些参数应小于安全等级。所设计的三元件柔性阵列天线适用于生物医学应用。
{"title":"A flexible ECE-Shaped high gain antenna array for wearable applications","authors":"","doi":"10.59018/022433","DOIUrl":"https://doi.org/10.59018/022433","url":null,"abstract":"Wearable antennas are designed to function to be worn. These antennas are commonly used in wearable wireless communication. The three-element flexible array antenna is designed with ECE-Shaped slots by using flexible felt material as substrate with a thickness of 3mm, and its permittivity is 1.22 to give good insulation. This array antenna is designed for a frequency of 2.4 GHz with dimensions of 173 mm by 50 mm, and the distance between patches is chosen to be 20 mm. The return loss is at S11 = -15 dB. This design can cover the ISM band and provide good performance. The parameters that are listed from the designed antenna are the reflection coefficient, VSWR, gain, directivity, and specific absorption rate (SAR), which should be less than safety levels. The designed three-element flexible array antenna is applicable for biomedical applications.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699643","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}
Pre-engineered construction is one of the new trend-setting technology globally, because of its suitability to the current era demands of fast and flexible construction, economical, sustainable, and ecofriendly construction. The analysis and design of pre-engineering buildings are also attracting the attention of design engineers. In this context, the design of an efficient and economical design is of prime concern. The present paper is an analytical study on the design and analysis of Industrial warehouses as per IS: 800-2007, and AISC design specifications. The analysis is executed under two different cases, out of which in one case optimal cross-sectional details are provided based on critical loading combinations of each code of practice. In other case, similar cross-sections were considered for both codes of practice. The critical load combinations and the locations of the maximum design forces in each case and the relative comparison of these between the two codal practices of IS:800 and AISC are discussed.
预制建筑是全球引领潮流的新技术之一，因为它适合当今时代对快速、灵活、经济、可持续和生态友好建筑的要求。预制建筑的分析和设计也吸引了设计工程师的关注。在这种情况下，如何设计出高效、经济的设计方案成为首要关注的问题。本文根据 IS: 800-2007 和 AISC 设计规范，对工业仓库的设计和分析进行了分析研究。分析是在两种不同情况下进行的，其中一种情况是根据每种规范的临界荷载组合提供最佳截面细节。在另一种情况下，两种规范都考虑了类似的截面。讨论了每种情况下的临界荷载组合和最大设计力的位置，以及 IS:800 和 AISC 两种规范之间的相对比较。
{"title":"Analysis and design of pre-engineered industrial warehouse using IS: 800 and AISC","authors":"","doi":"10.59018/022427","DOIUrl":"https://doi.org/10.59018/022427","url":null,"abstract":"Pre-engineered construction is one of the new trend-setting technology globally, because of its suitability to the current era demands of fast and flexible construction, economical, sustainable, and ecofriendly construction. The analysis and design of pre-engineering buildings are also attracting the attention of design engineers. In this context, the design of an efficient and economical design is of prime concern. The present paper is an analytical study on the design and analysis of Industrial warehouses as per IS: 800-2007, and AISC design specifications. The analysis is executed under two different cases, out of which in one case optimal cross-sectional details are provided based on critical loading combinations of each code of practice. In other case, similar cross-sections were considered for both codes of practice. The critical load combinations and the locations of the maximum design forces in each case and the relative comparison of these between the two codal practices of IS:800 and AISC are discussed.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364954","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}
This study aims to estimate the position of a small robot in both outdoor and indoor environments using a combination of RSSI-to-distance calculation, trilateration, and MQTT protocol for communication between ESP32 stations and the server. RSSI is utilized to approximate the distance between the ESP32 and the beacon, while trilateration is employed to determine the precise position of the beacon. The ratio of the imaginary circles is calculated by various signal measurement techniques, and the MQTT protocol is used to set up communication between ESP32 stations and the server. Once the beacon device is visible to all three ESP32 modules, trilateration takes place, and the position of the BLE beacon is displayed as a web page. The server collects the largest RSSI values from the nearest three ESP32 stations, and trilateration is performed from the distances obtained, with the coordinates being sent to the dashboard for visual representation. This strategy is supported by a GPS in outdoor environments, and indoors when structures allow it. Furthermore, the study includes the implementation of an experimental procedure and findings that involve utilizing ESP32 modules as scanning stations to track a BLE beacon.
{"title":"A BLE beacon global tracking strategy for small robot using an ESP32 beacon system and GPS","authors":"","doi":"10.59018/022426","DOIUrl":"https://doi.org/10.59018/022426","url":null,"abstract":"This study aims to estimate the position of a small robot in both outdoor and indoor environments using a combination of RSSI-to-distance calculation, trilateration, and MQTT protocol for communication between ESP32 stations and the server. RSSI is utilized to approximate the distance between the ESP32 and the beacon, while trilateration is employed to determine the precise position of the beacon. The ratio of the imaginary circles is calculated by various signal measurement techniques, and the MQTT protocol is used to set up communication between ESP32 stations and the server. Once the beacon device is visible to all three ESP32 modules, trilateration takes place, and the position of the BLE beacon is displayed as a web page. The server collects the largest RSSI values from the nearest three ESP32 stations, and trilateration is performed from the distances obtained, with the coordinates being sent to the dashboard for visual representation. This strategy is supported by a GPS in outdoor environments, and indoors when structures allow it. Furthermore, the study includes the implementation of an experimental procedure and findings that involve utilizing ESP32 modules as scanning stations to track a BLE beacon.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362627","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}
On September 28th, 2018, an earthquake measuring 7.4 Mw shook Palu and its surroundings. The effects of this earthquake caused natural disasters, namely liquefaction. One of the areas of Palu City that was affected by liquefaction is located in Petobo Village. With Petobo's position in a relatively sloping area, this situation triggers landslides or landslides along with the liquefaction effect. This study aims to determine the characteristics and bearing capacity of the soil in the affected area and not affected by liquefaction, especially in the central part of the north avalanche. This study consisted of 2 test methods: field testing carried out with the Swedish Weight Sounding at 4 points in the affected area and 2 points in the area unaffected by liquefaction and laboratory testing including sieve analysis, Atterberg limits, direct shear and bulk density. The results of the field research show 3 parameters, namely Nsw, qa and qu. The value of Nsw in the affected area is in the range of 0 n/m-208.33 n/m, the value of qa is in the range of 30 kN/m2-196.67 kN/m2 and the value of qu is in the range of 45 kN/m2-201.25 kN/m2 while the area is not affected, the value of Nsw is in the range of 0 n/m-250 n/m, the value of qa is in the range of 30 kN/m2- 230 kN/m2 and the value of qu is in the range of 45 kN/m2-232.50 kN/m2. Soil classification results from laboratory tests on affected soils are SC (Clayey Sand) and unaffected soil, namely SC (Clayey Sand) and SM (Silty Sand). Based on the SWS parameter, the bearing capacity of the soil in the affected area is 32, 12 t/m2, and the non-affected area is 113, 70 t/m2. Based on the direct shear parameters, the soil bearing capacity in the affected area is 30, 54 t/m2 and the non-affected area is 136, 72 t/m2.
{"title":"Identification of characteristics soil affected and not affected liquefaction at the north part of Petobo Village","authors":"","doi":"10.59018/022424","DOIUrl":"https://doi.org/10.59018/022424","url":null,"abstract":"On September 28th, 2018, an earthquake measuring 7.4 Mw shook Palu and its surroundings. The effects of this earthquake caused natural disasters, namely liquefaction. One of the areas of Palu City that was affected by liquefaction is located in Petobo Village. With Petobo's position in a relatively sloping area, this situation triggers landslides or landslides along with the liquefaction effect. This study aims to determine the characteristics and bearing capacity of the soil in the affected area and not affected by liquefaction, especially in the central part of the north avalanche. This study consisted of 2 test methods: field testing carried out with the Swedish Weight Sounding at 4 points in the affected area and 2 points in the area unaffected by liquefaction and laboratory testing including sieve analysis, Atterberg limits, direct shear and bulk density. The results of the field research show 3 parameters, namely Nsw, qa and qu. The value of Nsw in the affected area is in the range of 0 n/m-208.33 n/m, the value of qa is in the range of 30 kN/m2-196.67 kN/m2 and the value of qu is in the range of 45 kN/m2-201.25 kN/m2 while the area is not affected, the value of Nsw is in the range of 0 n/m-250 n/m, the value of qa is in the range of 30 kN/m2- 230 kN/m2 and the value of qu is in the range of 45 kN/m2-232.50 kN/m2. Soil classification results from laboratory tests on affected soils are SC (Clayey Sand) and unaffected soil, namely SC (Clayey Sand) and SM (Silty Sand). Based on the SWS parameter, the bearing capacity of the soil in the affected area is 32, 12 t/m2, and the non-affected area is 113, 70 t/m2. Based on the direct shear parameters, the soil bearing capacity in the affected area is 30, 54 t/m2 and the non-affected area is 136, 72 t/m2.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362506","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}
Since thermal energy storage (TES) systems gained momentum in the global energy market, there is a greater demand to enhance their energy efficiency and, more significantly, lower their costs. The purpose of the study is to assist decision-making under uncertainty and risk associated with stochastic increases in cost connected with Thermal Energy Storage System operation. The Thermal Energy Storage System (TSS) at the Gas District Cooling Plant in Perak, Malaysia is the purpose of this research. When fluctuating cooling demands develop, the Thermal Energy Storage System (TSS) is used to transfer energy use from peak to off-peak hours. For TSS and Gas District Cooling (GDC) systems, electric chillers and thermal storage tanks are required. Thermal energy systems (TES) play a role in the ongoing process of increasing integration across diverse energy systems to achieve a cleaner, more flexible, and long-term use of energy resources. Break-even analysis was used in the study, which is a basic tool for analyzing the feasibility of real-world initiatives with uncertainty. The findings reveal that a single-shift operation is not feasible, and the project will require at least two shifts to be viable.
{"title":"Breakeven analysis of Thermal Energy Storage System under uncertain operating conditions","authors":"","doi":"10.59018/022428","DOIUrl":"https://doi.org/10.59018/022428","url":null,"abstract":"Since thermal energy storage (TES) systems gained momentum in the global energy market, there is a greater demand to enhance their energy efficiency and, more significantly, lower their costs. The purpose of the study is to assist decision-making under uncertainty and risk associated with stochastic increases in cost connected with Thermal Energy Storage System operation. The Thermal Energy Storage System (TSS) at the Gas District Cooling Plant in Perak, Malaysia is the purpose of this research. When fluctuating cooling demands develop, the Thermal Energy Storage System (TSS) is used to transfer energy use from peak to off-peak hours. For TSS and Gas District Cooling (GDC) systems, electric chillers and thermal storage tanks are required. Thermal energy systems (TES) play a role in the ongoing process of increasing integration across diverse energy systems to achieve a cleaner, more flexible, and long-term use of energy resources. Break-even analysis was used in the study, which is a basic tool for analyzing the feasibility of real-world initiatives with uncertainty. The findings reveal that a single-shift operation is not feasible, and the project will require at least two shifts to be viable.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363033","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}
Exposure to UV rays can form free radicals, which will cause progressive damage to the skin's cellular structure, resulting in accelerated aging. The antioxidants contained in pandan leaves can capture free radicals and reduce their adverse effects. This study aims to determine the correct formula for antioxidant liquid soap by adding pandan leaf extract. The antioxidant liquid soap formula was made using four variations of cocamide-DEA concentrations, namely 2%, 4%, 6%, and 8%, and three concentrations of pandan leaf extract (Pandanus amaryllifolius Roxb.), namely 20%, 30%, and 40%. The extract was made using the maceration method with 96% ethanol solvent. Soap formulations are tested using free alkali, fatty acid, and water content tests. The results of observations of the antioxidant liquid soap formula with pandan leaf extract and the addition of cocamide-DEA have good physical quality and stability and meet standards.
{"title":"Synthesis of antioxidant liquid soap from pandan leaf extract (Pandanus amaryllifolius Roxb.) and cocamide-dea","authors":"","doi":"10.59018/022425","DOIUrl":"https://doi.org/10.59018/022425","url":null,"abstract":"Exposure to UV rays can form free radicals, which will cause progressive damage to the skin's cellular structure, resulting in accelerated aging. The antioxidants contained in pandan leaves can capture free radicals and reduce their adverse effects. This study aims to determine the correct formula for antioxidant liquid soap by adding pandan leaf extract. The antioxidant liquid soap formula was made using four variations of cocamide-DEA concentrations, namely 2%, 4%, 6%, and 8%, and three concentrations of pandan leaf extract (Pandanus amaryllifolius Roxb.), namely 20%, 30%, and 40%. The extract was made using the maceration method with 96% ethanol solvent. Soap formulations are tested using free alkali, fatty acid, and water content tests. The results of observations of the antioxidant liquid soap formula with pandan leaf extract and the addition of cocamide-DEA have good physical quality and stability and meet standards.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362670","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}
To develop a new approach to the design of multiparameter processes for control of the stress-strain state of a rock mass based on the use of a decomposition approach and optimization algorithms. To solve the problem, a complex method was applied, which consists of formalizing alternative technological solutions for managing the stress-strain state of a rock mass by converting it into network models. Further application of optimization algorithms on network models and graphs allows you to choose the most optimal technology for the construction or operation of mine workings. A methodological approach to the design of processes for managing the stress-strain state of a rock mass has been developed. To this end, a decompositional approach was used as a decision-making tool, which made it possible to take into account the variety of parameters that affect the efficiency of the construction or operation of mine workings. After selecting decision-making tools, a criterion was proposed for evaluating the effectiveness of the construction or operation of mine workings, which takes into account the probabilistic reliability and costs of construction or operation. To design multi-parameter processes for managing the stress-strain state, technological cycles for the construction and operation fixing of mine workings were studied using alternative technologies and materials, which made it possible to identify common stages and proceed to the formalization of the problem of finding the optimal technology. The formalization procedure involved the presentation of alternative technologies and solutions through a network model. Further application of optimization algorithms made it possible to determine the most optimal type of support from the standpoint of minimizing the optimization parameter. An algorithmic procedure for the process of designing multi-parameter processes for controlling the stress-strain state of a rock mass based on the use of a decomposition approach has been developed and presented, which made it possible to take into account the diversity in nature and the degree of influence of parameters, as well as to determine the most optimal methods for constructing or operating mine workings. The criteria for the effectiveness of the process of construction or operation of mine workings are determined, which made it possible to proceed to the generalization of the technological stages of construction and operation of mine workings, regardless of the type of support. Based on the use of optimization algorithms on networks and graphs, a decision support system was created that allows automating the design process, as well as determining the most optimal technology for the construction and operation of mine workings, depending on a given optimization parameter and efficiently, a particular case has been considered determining an optimum production method for a coal producer.
{"title":"Application of graphs and network models for designing processes for control the stress-strain state of a rock mass","authors":"","doi":"10.59018/022429","DOIUrl":"https://doi.org/10.59018/022429","url":null,"abstract":"To develop a new approach to the design of multiparameter processes for control of the stress-strain state of a rock mass based on the use of a decomposition approach and optimization algorithms. To solve the problem, a complex method was applied, which consists of formalizing alternative technological solutions for managing the stress-strain state of a rock mass by converting it into network models. Further application of optimization algorithms on network models and graphs allows you to choose the most optimal technology for the construction or operation of mine workings. A methodological approach to the design of processes for managing the stress-strain state of a rock mass has been developed. To this end, a decompositional approach was used as a decision-making tool, which made it possible to take into account the variety of parameters that affect the efficiency of the construction or operation of mine workings. After selecting decision-making tools, a criterion was proposed for evaluating the effectiveness of the construction or operation of mine workings, which takes into account the probabilistic reliability and costs of construction or operation. To design multi-parameter processes for managing the stress-strain state, technological cycles for the construction and operation fixing of mine workings were studied using alternative technologies and materials, which made it possible to identify common stages and proceed to the formalization of the problem of finding the optimal technology. The formalization procedure involved the presentation of alternative technologies and solutions through a network model. Further application of optimization algorithms made it possible to determine the most optimal type of support from the standpoint of minimizing the optimization parameter. An algorithmic procedure for the process of designing multi-parameter processes for controlling the stress-strain state of a rock mass based on the use of a decomposition approach has been developed and presented, which made it possible to take into account the diversity in nature and the degree of influence of parameters, as well as to determine the most optimal methods for constructing or operating mine workings. The criteria for the effectiveness of the process of construction or operation of mine workings are determined, which made it possible to proceed to the generalization of the technological stages of construction and operation of mine workings, regardless of the type of support. Based on the use of optimization algorithms on networks and graphs, a decision support system was created that allows automating the design process, as well as determining the most optimal technology for the construction and operation of mine workings, depending on a given optimization parameter and efficiently, a particular case has been considered determining an optimum production method for a coal producer.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364203","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}
It consequently becomes imperative in the current transmission networks to make full use of existing resources and to rapidly transition to renewable energy alternatives. Electrical energy end users also benefit from effective resource utilisation since it lowers the price they pay for electricity. In this work, we offer a multi-objective optimum power flow (OPF) for an integrated gearbox network where FACTS devices are present. The paper's originality lies in the use of a multi-objective function. Minimising voltage variation, power loss, and negative social welfare (NSW) are all part of the objective function. The abatement of loss and NSW guarantees the lowering of per-unit pricing of power at the consumer end resulting in improved customer satisfaction. The problem was fixed using a FACTS Static var compensator. The theory was tested using an IEEE 30 bus network. The objective function has been optimised using the Mouth Flame Optimisation Algorithm. Detailed presentations, comparisons, and analyses of the collected findings have been made.
{"title":"Moth Flame Optimisation for optimal power flow in a power system with Static var compensator","authors":"","doi":"10.59018/022431","DOIUrl":"https://doi.org/10.59018/022431","url":null,"abstract":"It consequently becomes imperative in the current transmission networks to make full use of existing resources and to rapidly transition to renewable energy alternatives. Electrical energy end users also benefit from effective resource utilisation since it lowers the price they pay for electricity. In this work, we offer a multi-objective optimum power flow (OPF) for an integrated gearbox network where FACTS devices are present. The paper's originality lies in the use of a multi-objective function. Minimising voltage variation, power loss, and negative social welfare (NSW) are all part of the objective function. The abatement of loss and NSW guarantees the lowering of per-unit pricing of power at the consumer end resulting in improved customer satisfaction. The problem was fixed using a FACTS Static var compensator. The theory was tested using an IEEE 30 bus network. The objective function has been optimised using the Mouth Flame Optimisation Algorithm. Detailed presentations, comparisons, and analyses of the collected findings have been made.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364691","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}
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