Pub Date : 2023-08-22DOI: 10.11648/j.eas.20230804.13
Deshui Yu, Yan Zhang, Jianping Zhou, Daqian Sun, Hongmei Li
{"title":"Research on Self-Propagating High-Temperature Synthesis of Ceramic Matrix Composites","authors":"Deshui Yu, Yan Zhang, Jianping Zhou, Daqian Sun, Hongmei Li","doi":"10.11648/j.eas.20230804.13","DOIUrl":"https://doi.org/10.11648/j.eas.20230804.13","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79414464","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}
Pub Date : 2023-08-04DOI: 10.11648/j.eas.20230804.12
Etefa Tilahun Ashine
: Wheat Production Initiative was designed to make the country self-sufficient in wheat production. The highlands of the central, south-eastern, and North West parts of the country are the main wheat-growing areas, however, there was no/little experience of wheat production in the lowland. Poor irrigation management that results in either excessive or inadequate water application can significantly reduce the potential for profitability. Increasing irrigation efficiency by applying improved water management strategies could be the prime objective for sustainable irrigated agriculture. In Jimma zone, even though there are a plenty of available natural resources such as land, water and suitable agro-ecology, there were some water deficit because of their location (physical nature) in the gorges and not suitable for surface irrigation and demand sophisticated irrigation technology. In this study different literatures were seen in addition to site observation at different irrigated wheat cluster farming to identify the different challenges and opportunities of irrigated wheat production. The major challenges for the production of irrigated wheat in Jimma zone were limited study on the suitability of the specific area of land for irrigated wheat farming, limited agricultural inputs, in adequate and low performance of small scale irrigation schemes, disease and pest problem, lack of market access, lack of financial support for irrigated wheat, and low quality of wheat products. Availability of water resources and irrigable land and high demand of wheat from the consumer side are among the opportunities that encourage farmers and other stakeholders to involve in the irrigated wheat production in Jimma Zone. The quality of irrigated wheat has to get an attention from the producer side.
{"title":"Challenges and Opportunities of Irrigated Wheat (<i>Triticum Estievum</i> L.) Production in Jimma Zone South West Ethiopia: A Review","authors":"Etefa Tilahun Ashine","doi":"10.11648/j.eas.20230804.12","DOIUrl":"https://doi.org/10.11648/j.eas.20230804.12","url":null,"abstract":": Wheat Production Initiative was designed to make the country self-sufficient in wheat production. The highlands of the central, south-eastern, and North West parts of the country are the main wheat-growing areas, however, there was no/little experience of wheat production in the lowland. Poor irrigation management that results in either excessive or inadequate water application can significantly reduce the potential for profitability. Increasing irrigation efficiency by applying improved water management strategies could be the prime objective for sustainable irrigated agriculture. In Jimma zone, even though there are a plenty of available natural resources such as land, water and suitable agro-ecology, there were some water deficit because of their location (physical nature) in the gorges and not suitable for surface irrigation and demand sophisticated irrigation technology. In this study different literatures were seen in addition to site observation at different irrigated wheat cluster farming to identify the different challenges and opportunities of irrigated wheat production. The major challenges for the production of irrigated wheat in Jimma zone were limited study on the suitability of the specific area of land for irrigated wheat farming, limited agricultural inputs, in adequate and low performance of small scale irrigation schemes, disease and pest problem, lack of market access, lack of financial support for irrigated wheat, and low quality of wheat products. Availability of water resources and irrigable land and high demand of wheat from the consumer side are among the opportunities that encourage farmers and other stakeholders to involve in the irrigated wheat production in Jimma Zone. The quality of irrigated wheat has to get an attention from the producer side.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80254316","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}
Pub Date : 2023-08-04DOI: 10.11648/j.eas.20230804.11
R. Moshiur, K. Islam, Humaira Takia, Khokon Hossen, Moinul Islam, S. Ghose
: During the reactor operation a significant amount of high and intermediate level radioactive wastes are inevitably raised, which are managed and finally disposed of with particular care. The ion exchange resin is used to purify water during the operation of 3 MW TRIGA Mark II research reactor in Bangladesh, when the decontamination efficiency is insufficient to maintain the required primary coolant quality. Five spent ion exchange resin samples and eleven liquid samples from exhausted coolant of 3 MW TRIGA Mark II research reactor were analyzed by using HPGe detector having 40% relative efficiency and 1.8 keV resolution coupled with computer-based MCA. Two radionuclides 54 Mn, 60 Co have been recognized in the spent ion-exchange resin and three radionuclides such as 137 Cs, 60 Co, and 65 Zn have been identified in the liquid radio wastes samples. The specific activity concentrations of these nuclides and the Inhalation dose for the corresponding nuclide for different body parts such as bladder, Bone surface, Brain, Breast, Stomach, Kidneys, Liver, Red Marrow, lungs, Skin and Thyroid for public are also evaluated according to the ICRP 68. Rad Toolbox software was used for the assessment. The maximum inhalation dose is originated from 137 Cs and lung is found to be the maximum radiation sensitive organ, received maximum dose of 53.5 m Sv from 60 Co (1332 keV). The experiment results would be helpful to develop a policy for radioactive waste management that produced during the operation and maintenance of a research reactor.
在反应堆运行过程中，不可避免地会产生大量的高放射性和中放射性废物，这些废物需要特别小心地加以管理和处理。在孟加拉国3mw TRIGA Mark II型研究堆运行过程中，当净化效率不足以维持所需的一次冷却剂质量时，使用离子交换树脂对水进行净化。采用相对效率为40%，分辨率为1.8 keV的HPGe探测器，结合计算机MCA，对3mw TRIGA Mark II研究堆的5个废离子交换树脂样品和11个废冷却液样品进行了分析。在废离子交换树脂中鉴定出两种放射性核素54mn, 60co，在液态放射性废物样品中鉴定出三种放射性核素137cs, 60co和65zn。这些核素的比活性浓度和相应的核素在人体不同部位如膀胱、骨表面、脑、乳房、胃、肾、肝、红骨髓、肺、皮肤和甲状腺的吸入剂量也根据ICRP 68进行了评估。使用Rad Toolbox软件进行评估。最大吸入剂量来源于137cs，肺是最大辐射敏感器官，60co (1332kev)的最大吸入剂量为53.5 m Sv。实验结果将有助于制定研究堆运行和维护过程中产生的放射性废物管理政策。
{"title":"Characterization of Radio-Waste from TRIGA II Research Reactor and Assessment of Corresponding Radiation Dose in Bangladesh","authors":"R. Moshiur, K. Islam, Humaira Takia, Khokon Hossen, Moinul Islam, S. Ghose","doi":"10.11648/j.eas.20230804.11","DOIUrl":"https://doi.org/10.11648/j.eas.20230804.11","url":null,"abstract":": During the reactor operation a significant amount of high and intermediate level radioactive wastes are inevitably raised, which are managed and finally disposed of with particular care. The ion exchange resin is used to purify water during the operation of 3 MW TRIGA Mark II research reactor in Bangladesh, when the decontamination efficiency is insufficient to maintain the required primary coolant quality. Five spent ion exchange resin samples and eleven liquid samples from exhausted coolant of 3 MW TRIGA Mark II research reactor were analyzed by using HPGe detector having 40% relative efficiency and 1.8 keV resolution coupled with computer-based MCA. Two radionuclides 54 Mn, 60 Co have been recognized in the spent ion-exchange resin and three radionuclides such as 137 Cs, 60 Co, and 65 Zn have been identified in the liquid radio wastes samples. The specific activity concentrations of these nuclides and the Inhalation dose for the corresponding nuclide for different body parts such as bladder, Bone surface, Brain, Breast, Stomach, Kidneys, Liver, Red Marrow, lungs, Skin and Thyroid for public are also evaluated according to the ICRP 68. Rad Toolbox software was used for the assessment. The maximum inhalation dose is originated from 137 Cs and lung is found to be the maximum radiation sensitive organ, received maximum dose of 53.5 m Sv from 60 Co (1332 keV). The experiment results would be helpful to develop a policy for radioactive waste management that produced during the operation and maintenance of a research reactor.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85476794","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}
Pub Date : 2023-05-18DOI: 10.11648/j.eas.20230802.11
Fatima Mohammad Amin
: In Kinematics, the analysis of acceleration and velocity is usually done whereas the forces are neglected. The machine’s smallest unit is the link, which is akin to a cell in the human body. Robotics is built on the foundation of machines. A pair is established by the combination of links which leads to the construction of linkage. A mechanical linkage is a collection of bodies that are connected to control forces and movement. The combination of linkage (also known as Mechanism) generates Machine. The robot’s kinematics equations are used in robotics, video games and animation. Inverse kinematics is the mathematical process of determining variable joint parameters necessary to place an object at the end of a kinematic chain in a specific position and orientation with respect to the start of the chain, such as robot manipulator or skeleton of an animated character. The role of Forward and Inverse Kinematics in a 2R Robotic Arm are studied with successful demonstrations. Forward Kinematics of a 2R Robotic Arm using Matlab and Python confirming similar results are exhibited (Figure 8 and Figure 9). Matlab illustrated 2D Path Tracing for 2R Robotic Arm with Inverse Kinematics. Finally, inverse kinematics of 2R Robotic Arm in Matlab using fuzzy logic is modelled successfully. Thus, it helps in the understanding of kinematics and can be used in the simulation of machines.
{"title":"Analysis of Forward Kinematics of 2R Robotic Arm","authors":"Fatima Mohammad Amin","doi":"10.11648/j.eas.20230802.11","DOIUrl":"https://doi.org/10.11648/j.eas.20230802.11","url":null,"abstract":": In Kinematics, the analysis of acceleration and velocity is usually done whereas the forces are neglected. The machine’s smallest unit is the link, which is akin to a cell in the human body. Robotics is built on the foundation of machines. A pair is established by the combination of links which leads to the construction of linkage. A mechanical linkage is a collection of bodies that are connected to control forces and movement. The combination of linkage (also known as Mechanism) generates Machine. The robot’s kinematics equations are used in robotics, video games and animation. Inverse kinematics is the mathematical process of determining variable joint parameters necessary to place an object at the end of a kinematic chain in a specific position and orientation with respect to the start of the chain, such as robot manipulator or skeleton of an animated character. The role of Forward and Inverse Kinematics in a 2R Robotic Arm are studied with successful demonstrations. Forward Kinematics of a 2R Robotic Arm using Matlab and Python confirming similar results are exhibited (Figure 8 and Figure 9). Matlab illustrated 2D Path Tracing for 2R Robotic Arm with Inverse Kinematics. Finally, inverse kinematics of 2R Robotic Arm in Matlab using fuzzy logic is modelled successfully. Thus, it helps in the understanding of kinematics and can be used in the simulation of machines.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91193663","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}
Pub Date : 2023-03-21DOI: 10.11648/j.eas.20230801.12
Xuguang Zhang, Wei Zhao, Jingchao Guan, Apollo B. Fukuchi, Xilu Zhao
: Vibration power generation is an important issue in development of renewable energy. If a vibration system with a maximum possible amplitude is designed, it can be advantageous in improving the vibration power generation efficiency. In this study, we propose a Duffing-type bi-stable vibration energy harvesting system that utilizes the stochastic resonance phenomenon, which can significantly expand the vibration amplitude. We designed the motion rail shape of the bistable vibration model using the Duffing function
{"title":"Development of Bi-Stable Vibration Energy Harvesting System Using Duffing-Type Motion Model","authors":"Xuguang Zhang, Wei Zhao, Jingchao Guan, Apollo B. Fukuchi, Xilu Zhao","doi":"10.11648/j.eas.20230801.12","DOIUrl":"https://doi.org/10.11648/j.eas.20230801.12","url":null,"abstract":": Vibration power generation is an important issue in development of renewable energy. If a vibration system with a maximum possible amplitude is designed, it can be advantageous in improving the vibration power generation efficiency. In this study, we propose a Duffing-type bi-stable vibration energy harvesting system that utilizes the stochastic resonance phenomenon, which can significantly expand the vibration amplitude. We designed the motion rail shape of the bistable vibration model using the Duffing function","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74369181","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}
The Internet has a huge amount of information when it comes to analysis, much of which is valuable and significant. Arabic Sentiment Analysis (SA) is a method responsible for analyzing people’s thoughts, feelings, and responses to a variety of products and services on social networking and commercial sites. Several researchers utilize sentiment analysis to determine the opinions of customers in various areas, including e-marketing, business, and other fields. Deep learning (DL) is a useful technology for developing sentiment analysis models to improve e-marketing operations. There are a few studies targeting Arabic sentiment analysis (ASA) in e-marketing using deep learning algorithms. Due to a number of difficulties in the Arabic language, such as the language’s morphological features, the diversity of dialects, and the absence of suitable corpora, sentiment analysis on Arabic material is restricted. In this paper, we will compare several Arabic sentiment analysis models. Also, we discuss the deep learning algorithms that are employed in Arabic sentiment analysis. The domain of the collected papers is Arabic sentiment analysis in e-marketing using deep learning. Our first contribution is to introduce and present deep learning models that are used in ASA. Secondly, investigate and study Arabic datasets utilized for Arabic sentence analysis. We create and develop a new Arabic dataset for Saudi Arabian communication companies, namely Sara-Dataset, to increase the quality and quantity of their services. Third, each collected study is assessed in terms of its methodology, contributions, deep learning techniques, performance, Arabic datasets in emarketing, and potential improvements in developing Arabic sentiment analysis models. Fourth, we analyzed several papers’ performance in terms of accuracy, F-measure, recall, pre-procession, and area under the curve (AUC). Also, our comparative analysis includes feature selection (e.g., domain-specific selection) methods that are used in Arabic sentiment analysis. Fifth, we also discuss how to improve Arabic sentiment analysis using preprocessing techniques (e.g., word embedding). Finally, we provide a design model for analyzing Arabic sentiment about communications services provided by Saudi Arabian enterprises.
{"title":"A Comparative Analysis for Arabic Sentiment Analysis Models\u0000In E-Marketing Using Deep Learning Techniques","authors":"Sara Almutairi, F. Alotaibi","doi":"10.5455/jeas.2023050102","DOIUrl":"https://doi.org/10.5455/jeas.2023050102","url":null,"abstract":"The Internet has a huge amount of information when it comes to analysis, much of which is valuable and significant. Arabic Sentiment Analysis (SA) is a method responsible for analyzing people’s thoughts, feelings, and responses to a variety of products and services on social networking and commercial sites. Several researchers utilize sentiment analysis to determine the opinions of customers in various areas, including e-marketing, business, and other fields. Deep learning (DL) is a useful technology for developing sentiment analysis models to improve e-marketing operations. There are a few studies targeting Arabic sentiment analysis (ASA) in e-marketing using deep learning algorithms. Due to a number of difficulties in the Arabic language, such as the language’s morphological features, the diversity of dialects, and the absence of suitable corpora, sentiment analysis on Arabic material is restricted. In this paper, we will compare several Arabic sentiment analysis models. Also, we discuss the deep learning algorithms that are employed in Arabic sentiment analysis. The domain of the collected papers is Arabic sentiment analysis in e-marketing using deep learning. Our first contribution is to introduce and present deep learning models that are used in ASA. Secondly, investigate and study Arabic datasets utilized for Arabic sentence analysis. We create and develop a new Arabic dataset for Saudi Arabian communication companies, namely Sara-Dataset, to increase the quality and quantity of their services. Third, each collected study is assessed in terms of its methodology, contributions, deep learning techniques, performance, Arabic datasets in emarketing, and potential improvements in developing Arabic sentiment analysis models. Fourth, we analyzed several papers’ performance in terms of accuracy, F-measure, recall, pre-procession, and area under the curve (AUC). Also, our comparative analysis includes feature selection (e.g., domain-specific selection) methods that are used in Arabic sentiment analysis. Fifth, we also discuss how to improve Arabic sentiment analysis using preprocessing techniques (e.g., word embedding). Finally, we provide a design model for analyzing Arabic sentiment about communications services provided by Saudi Arabian enterprises.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87516608","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}
Over the past decade, electronic applications, particularly social networking applications (SNAs), have been gaining considerable popularity, including among educated young people. The advantages of SNAs are apparent in many sectors, with education being no exception. SNAs are also playing the main role in enhancing the quality of education. The aim of this paper is to explore SNAs use (e.g., Twitter, Facebook, and YouTube) in higher education students enrolled at Albaha University, Saudi Arabia, focusing on their associated advantages, barriers, and reasons for adoption, as well as differences between the participants with respect to the study variables. The research methodology was a survey approach and the sample size reached 243 students, including 123 males and 120 females. The survey was distributed to students electronically. The results indicate that most students benefit from SNAs, and these resources motivate them to engage with SNAs to enhance their education. Barriers were also identified that must be addressed for effective education. No difference was found between male and female students in terms of benefiting from SNAs, as well as the reasons and barriers, thereby indicating the availability of SNAs for both genders and the flexibility of their use at any time and place, as well as awareness in both genders about their use. A noticeable difference was identified in the extent of the benefits derived from SNAs between participants older and younger than 20 years, and differences were also found in the reasons underpinning these benefits. This reflects a disparity in the use and mastery of SNAs between the two age groups. Students aged 20-25 years also encountered greater barriers to SNAs use compared to students aged younger than 20 years, which may be attributed to the lower familiarity of older students with SNAs.
{"title":"Measurement of Benefits, Reasons, and Barriers to Students’ Adoption of Electronic Applications","authors":"M. Alghamdi","doi":"10.5455/jeas.2023050101","DOIUrl":"https://doi.org/10.5455/jeas.2023050101","url":null,"abstract":"Over the past decade, electronic applications, particularly social networking applications (SNAs), have been gaining considerable popularity, including among educated young people. The advantages of SNAs are apparent in many sectors, with education being no exception. SNAs are also playing the main role in enhancing the quality of education. The aim of this paper is to explore SNAs use (e.g., Twitter, Facebook, and YouTube) in higher education students enrolled at Albaha University, Saudi Arabia, focusing on their associated advantages, barriers, and reasons for adoption, as well as differences between the participants with respect to the study variables. The research methodology was a survey approach and the sample size reached 243 students, including 123 males and 120 females. The survey was distributed to students electronically. The results indicate that most students benefit from SNAs, and these resources motivate them to engage with SNAs to enhance their education. Barriers were also identified that must be addressed for effective education. No difference was found between male and female students in terms of benefiting from SNAs, as well as the reasons and barriers, thereby indicating the availability of SNAs for both genders and the flexibility of their use at any time and place, as well as awareness in both genders about their use. A noticeable difference was identified in the extent of the benefits derived from SNAs between participants older and younger than 20 years, and differences were also found in the reasons underpinning these benefits. This reflects a disparity in the use and mastery of SNAs between the two age groups. Students aged 20-25 years also encountered greater barriers to SNAs use compared to students aged younger than 20 years, which may be attributed to the lower familiarity of older students with SNAs.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87793943","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 serverless computing, servers' computing resources are distributed dynamically by the cloud service provider. Consumers are charged based on the usage of resources, not on prepurchase computing capability. Programming models, abstractions, and platforms for cloud services and technologies need to evolve. This paper aims to provide large scalability and low configuration costs for cloud applications. This paper explores testing strategies for a system that allows users to request rides on unicorns from the Wild Rydes fleet. The proposed application to build, deploy and tested, for serverless services developed for the Amazon Web Services cloud platform. The results have been obtained for the parameters Duration, Error count & success rate, Call, Throttle, Total concurrent execution and compare with the existing work. The results have a less duration, with very high success rate with zero error. This paper will help users to help in state of art transportation service so that people can travel faster and easier.
在无服务器计算中，服务器的计算资源由云服务提供商动态分配。消费者是根据资源的使用情况来收费的，而不是根据购买前的计算能力。云服务和技术的编程模型、抽象和平台需要发展。本文旨在为云应用提供大可扩展性和低配置成本。本文探讨了一个系统的测试策略，该系统允许用户请求乘坐Wild Rydes车队的独角兽。为Amazon Web services云平台开发的无服务器服务构建、部署和测试的拟议应用程序。得到了持续时间、错误数和成功率、调用、节流、总并发执行数等参数的计算结果，并与已有工作进行了比较。结果持续时间短，成功率高，零错误。本文将帮助用户在最先进的交通服务，使人们可以更快，更容易地旅行。
{"title":"Testing Serverless Applications with AWS Lambda: An Automatic Move to Serverless Architectures","authors":"Shamiksha Mishra, Abdullah Alenizi, S. Dutta","doi":"10.5455/jeas.2023050104","DOIUrl":"https://doi.org/10.5455/jeas.2023050104","url":null,"abstract":"In serverless computing, servers' computing resources are distributed dynamically by the cloud service provider. Consumers are charged based on the usage of resources, not on prepurchase computing capability. Programming models, abstractions, and platforms for cloud services and technologies need to evolve. This paper aims to provide large scalability and low configuration costs for cloud applications. This paper explores testing strategies for a system that allows users to request rides on unicorns from the Wild Rydes fleet. The proposed application to build, deploy and tested, for serverless services developed for the Amazon Web Services cloud platform. The results have been obtained for the parameters Duration, Error count & success rate, Call, Throttle, Total concurrent execution and compare with the existing work. The results have a less duration, with very high success rate with zero error. This paper will help users to help in state of art transportation service so that people can travel faster and easier.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78673567","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}
The rapid advancement in technology has improved people's lives, but it has also increased the risks that come with using the Internet, including cybercrimes. Lately, Saudi Arabia, a booming economy, has become one of the prime targets of cyberattacks. The massive amount of cyberattacks targeting Saudi Arabia can be attributed to the lack of cybersecurity awareness among Saudi people. The objective of this study is to propose methods on the national level to increase the awareness of cybersecurity among Saudi people. We conducted a cybersecurity assessment survey to assess the cybersecurity awareness among Saudi people. The survey result indicated negligent behavior and lack of awareness. To address this issue, we proposed a cybersecurity awareness framework which targets all strata of Saudi Arabia demography. The proposed framework not only emphasized training programs in schools, universities and organizations but also addresses the awareness issue in people from informal backgrounds. The framework also includes the importance of incident response and its role in reducing incidents.
{"title":"A Framework for Cybersecurity Awareness in Saudi Arabia","authors":"Mead Albediwi, Kishwar Sadaf","doi":"10.5455/jeas.2023050103","DOIUrl":"https://doi.org/10.5455/jeas.2023050103","url":null,"abstract":"The rapid advancement in technology has improved people's lives, but it has also increased the risks that come with using the Internet, including cybercrimes. Lately, Saudi Arabia, a booming economy, has become one of the prime targets of cyberattacks. The massive amount of cyberattacks targeting Saudi Arabia can be attributed to the lack of cybersecurity awareness among Saudi people. The objective of this study is to propose methods on the national level to increase the awareness of cybersecurity among Saudi people. We conducted a cybersecurity assessment survey to assess the cybersecurity awareness among Saudi people. The survey result indicated negligent behavior and lack of awareness. To address this issue, we proposed a cybersecurity awareness framework which targets all strata of Saudi Arabia demography. The proposed framework not only emphasized training programs in schools, universities and organizations but also addresses the awareness issue in people from informal backgrounds. The framework also includes the importance of incident response and its role in reducing incidents.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"373 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77987683","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}
Cryptocurrency is a quickly growing technology in the finance industry, with the first cryptocurrency, Bitcoin, being created in 2009. Each cryptocurrency has its own unique hash value, and cryptocurrency mining involves participating in a guessing competition to release a unique hash into circulation, with the winner receiving a modest bonus in the form of bitcoin. However, as more bitcoins are discovered, it becomes increasingly difficult to obtain more, resulting in a need for extra computer resources and power. Consequently, the increasing popularity of cryptocurrency has led to a rise in cryptojacking malware, which secretly uses victims' computing resources to mine cryptocurrency. This malware can be either web-based or host-based, with similar execution and goals but differing in implementation and injection. Cryptojacking has affected numerous devices worldwide, but few studies have been carried out to detect it, especially the host-based type. Furthermore, the current studies on cryptojacking have limited datasets, which are often outdated or small, and the prediction models developed from these datasets may not be accurate. To address this gap, we conducted a thorough analysis of cryptojacking's behavior, lifecycle, impact, implementations, and possible detection methods. Additionally, we created an up-to-date dataset consisting of 114,985 samples, with 57,948 categorized as benign and 57,037 as cryptojacking. The dataset was used to build a smart cryptojacking detection system, with 5 different convolutional neural network models trained and evaluated against a subset of the dataset. The best performing model achieved an accuracy of 98.4%, an F1-Score of 98.3%, a precision of 98.4%, and a recall of 98.4%. Our proposed method, which involves running Windows executables in an isolated environment and closely monitoring their CPU usage, provides a thorough understanding of cryptojacking malware behavior and enables detection of the malware. The comprehensive dataset collected facilitates efficient detection model development. Additionally, evaluating the dataset with 5 different CNN algorithms and assessing their performance using established evaluation metrics ensures the effectiveness of our proposed method and dataset.
{"title":"Smart Analysis and Detection System for New Host-Based Cryptojacking Malware Dataset","authors":"Hadeel Almurshid","doi":"10.5455/jeas.2023050105","DOIUrl":"https://doi.org/10.5455/jeas.2023050105","url":null,"abstract":"Cryptocurrency is a quickly growing technology in the finance industry, with the first cryptocurrency, Bitcoin, being created in 2009. Each cryptocurrency has its own unique hash value, and cryptocurrency mining involves participating in a guessing competition to release a unique hash into circulation, with the winner receiving a modest bonus in the form of bitcoin. However, as more bitcoins are discovered, it becomes increasingly difficult to obtain more, resulting in a need for extra computer resources and power. Consequently, the increasing popularity of cryptocurrency has led to a rise in cryptojacking malware, which secretly uses victims' computing resources to mine cryptocurrency. This malware can be either web-based or host-based, with similar execution and goals but differing in implementation and injection. Cryptojacking has affected numerous devices worldwide, but few studies have been carried out to detect it, especially the host-based type. Furthermore, the current studies on cryptojacking have limited datasets, which are often outdated or small, and the prediction models developed from these datasets may not be accurate. To address this gap, we conducted a thorough analysis of cryptojacking's behavior, lifecycle, impact, implementations, and possible detection methods. Additionally, we created an up-to-date dataset consisting of 114,985 samples, with 57,948 categorized as benign and 57,037 as cryptojacking. The dataset was used to build a smart cryptojacking detection system, with 5 different convolutional neural network models trained and evaluated against a subset of the dataset. The best performing model achieved an accuracy of 98.4%, an F1-Score of 98.3%, a precision of 98.4%, and a recall of 98.4%. Our proposed method, which involves running Windows executables in an isolated environment and closely monitoring their CPU usage, provides a thorough understanding of cryptojacking malware behavior and enables detection of the malware. The comprehensive dataset collected facilitates efficient detection model development. Additionally, evaluating the dataset with 5 different CNN algorithms and assessing their performance using established evaluation metrics ensures the effectiveness of our proposed method and dataset.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84253979","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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