Hairol Nizam Mohd Shah, Muhammad Aiman Mohamad Sebir, Mohd Fairus Abdollah, Mohd Rizuan Baharon, Azhar Ahmad, Mohd Ali Arshad
Nowadays, many people want to buy a small-scale unmanned aerial vehicle (UAV) either for recreational purposes, photography and video editing or for air surveillance. The main issue with conventional small-scale UAVs is that they require experience to operate them. Besides that, the control system also plays important role for its flight stability and endurance for small-scale UAV. The weight of the load and travelling speed also being issued for small-scale UAV. As a result, three objectives were formulated based on the problem statement which are to fabricate the appropriate size of a small-scale UAV in term of its mass and frame size; to design the control system and increase the stability of the small-scale UAV; and to test the flight endurance of the small-scale UAV. This research is conducted through the following methodology, which is designing the quadcopter body mainframe, constructing the circuit diagram, developing the RC transmitter and receiver for Arduino and testing the UAV functionality and flight test. Softwares that were involved in this project are Solidworks, Arduino compiler, Proteus, Processing and Matlab. The equipments that are used are Arduino UNO, MPU-6050 sensor, Li-Po 11.1V battery, Electronic Speed Controller (ESC), brushless DC motor, 2.4 GHZ RC transmitter and 6-channel receiver. The limitation also being found from those experiments. Finally, the results and discussion will show and explain about the early sketch for quadcopter body mainframe including dimension for each part and stress-strain diagram using Solidworks. It also includes the simulation and hardware connection for brushless DC motor and MPU-6050 sensor using Proteus, Arduino compiler, Processing and Matlab software.
{"title":"Develop and Design Small Scale UAV","authors":"Hairol Nizam Mohd Shah, Muhammad Aiman Mohamad Sebir, Mohd Fairus Abdollah, Mohd Rizuan Baharon, Azhar Ahmad, Mohd Ali Arshad","doi":"10.5539/mas.v17n2p49","DOIUrl":"https://doi.org/10.5539/mas.v17n2p49","url":null,"abstract":"Nowadays, many people want to buy a small-scale unmanned aerial vehicle (UAV) either for recreational purposes, photography and video editing or for air surveillance. The main issue with conventional small-scale UAVs is that they require experience to operate them. Besides that, the control system also plays important role for its flight stability and endurance for small-scale UAV. The weight of the load and travelling speed also being issued for small-scale UAV. As a result, three objectives were formulated based on the problem statement which are to fabricate the appropriate size of a small-scale UAV in term of its mass and frame size; to design the control system and increase the stability of the small-scale UAV; and to test the flight endurance of the small-scale UAV. This research is conducted through the following methodology, which is designing the quadcopter body mainframe, constructing the circuit diagram, developing the RC transmitter and receiver for Arduino and testing the UAV functionality and flight test. Softwares that were involved in this project are Solidworks, Arduino compiler, Proteus, Processing and Matlab. The equipments that are used are Arduino UNO, MPU-6050 sensor, Li-Po 11.1V battery, Electronic Speed Controller (ESC), brushless DC motor, 2.4 GHZ RC transmitter and 6-channel receiver. The limitation also being found from those experiments. Finally, the results and discussion will show and explain about the early sketch for quadcopter body mainframe including dimension for each part and stress-strain diagram using Solidworks. It also includes the simulation and hardware connection for brushless DC motor and MPU-6050 sensor using Proteus, Arduino compiler, Processing and Matlab software.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113055","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 aimed to know the extent to which the final exam questions are achieved in the basic curricula of students from sixth to eleventh in schools of the Ministry of Education in Jordan for the levels depth of knowledge (DOK) webb, and the study population is from all of all the final exams questions for the basic curricula (Islamic Education, Arabic Language, English, Mathematics, Science) that the Evaluation and Examinations Department at the Ministry of Education for the first semester of the 2015/2016 academic year, which number 30 exams.
The researcher used the analytical descriptive approach through the use of the computerized statistical package program in the social sciences (SPSS), one-way analysis of variance (One-Way ANOVA), the LSD test for post comparisons, and the T-test, and the most prominent findings Study results. Depth of knowledge (DOK) skills were for the level of remembering, while the depth of knowledge skills were less for extended thinking, and the objective exams achieved the depth of knowledge in all its dimensions compared to the essay questions. there are apparent differences in the dimensions of depth of knowledge (remembering, concepts and skills, strategic thinking, extended thinking) according to the subject type variable, and the differences were indicative only in the areas of strategic thinking and extended thinking.
And the differences in the field of concepts and skills were between grades (sixth, seventh, and eighth) on the one hand, and the eleventh grade on the other hand, where the differences were in favor of the eleventh grade, and the differences in extended thinking were between grades (sixth, eighth, and ninth) on the one hand, and the eleventh grade. On the other hand, the differences were in favor of the eleventh grade.
{"title":"The Extent of Knowledge of Achieving the Final Exam Questions for the Sixth to Eleventh Grades to the Levels Depth of Knowledge "DOK" Webb in Jordan","authors":"Sami Al-Massarweh","doi":"10.5539/mas.v17n2p70","DOIUrl":"https://doi.org/10.5539/mas.v17n2p70","url":null,"abstract":"This study aimed to know the extent to which the final exam questions are achieved in the basic curricula of students from sixth to eleventh in schools of the Ministry of Education in Jordan for the levels depth of knowledge (DOK) webb, and the study population is from all of all the final exams questions for the basic curricula (Islamic Education, Arabic Language, English, Mathematics, Science) that the Evaluation and Examinations Department at the Ministry of Education for the first semester of the 2015/2016 academic year, which number 30 exams.
 
 The researcher used the analytical descriptive approach through the use of the computerized statistical package program in the social sciences (SPSS), one-way analysis of variance (One-Way ANOVA), the LSD test for post comparisons, and the T-test, and the most prominent findings Study results. Depth of knowledge (DOK) skills were for the level of remembering, while the depth of knowledge skills were less for extended thinking, and the objective exams achieved the depth of knowledge in all its dimensions compared to the essay questions. there are apparent differences in the dimensions of depth of knowledge (remembering, concepts and skills, strategic thinking, extended thinking) according to the subject type variable, and the differences were indicative only in the areas of strategic thinking and extended thinking.
 
 And the differences in the field of concepts and skills were between grades (sixth, seventh, and eighth) on the one hand, and the eleventh grade on the other hand, where the differences were in favor of the eleventh grade, and the differences in extended thinking were between grades (sixth, eighth, and ninth) on the one hand, and the eleventh grade. On the other hand, the differences were in favor of the eleventh grade.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135112717","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}
Chromium (Cr) is an essential element in plant and animal metabolism, but high accumulation of this metal ion in soil and water from industrial sources has caused concern. This study investigated the removal of Cr (VI), the most mobile and toxic species, using coffee husk biosorption from aqueous solutions. Coffee husk was characterized using Brunauer Emmett Teller (BET) and Fourier Transform Infrared (FTIR) analysis. The effects of pH, adsorbent dosage, contact time, effect of KNO3 concentration, and temperature during the adsorption of Cr (VI) were studied. Infrared spectral studies revealed the presence of functional groups, such as hydroxyl and carboxyl groups, which facilitated the biosorption of Cr (VI). The maximum adsorption capacity reached 87 % at pH~2. Moreover, maximum adsorption capacity of Cr (VI) onto coffee husk 0.660 mg g-1 was recorded after 60 min of using 40 mg L-1 of Cr (VI) with no addition of KNO3 at 40 0C. The kinetic data followed the pseudo-second-order model with regression coefficients R2 = 0.99. The equilibrium data for the adsorption of Cr (VI) onto coffee husk biosorption were fitted into Langmuir and Temkin adsorption isotherm models with R2 = 0.98 corresponding to each model. Thermodynamic studies showed that the coffee husk-Cr (VI) adsorption system was spontaneous and endothermic because negative and positive values were obtained for ΔG° and Δ°H, respectively. The coffee husk was applicable to remove Cr (VI) after three recycling and using different environmental water samples. In conclusion, coffee husk can be used effectively as an adsorption system for Cr (VI) at different polluted sites.
{"title":"Applicability of Natural Coffee Husk as a Mesoporous Adsorbent for Removal of Chromium (VI) from Aquatic Environments","authors":"Basma G. Alhogbi","doi":"10.5539/mas.v17n2p37","DOIUrl":"https://doi.org/10.5539/mas.v17n2p37","url":null,"abstract":"Chromium (Cr) is an essential element in plant and animal metabolism, but high accumulation of this metal ion in soil and water from industrial sources has caused concern. This study investigated the removal of Cr (VI), the most mobile and toxic species, using coffee husk biosorption from aqueous solutions. Coffee husk was characterized using Brunauer Emmett Teller (BET) and Fourier Transform Infrared (FTIR) analysis. The effects of pH, adsorbent dosage, contact time, effect of KNO3 concentration, and temperature during the adsorption of Cr (VI) were studied. Infrared spectral studies revealed the presence of functional groups, such as hydroxyl and carboxyl groups, which facilitated the biosorption of Cr (VI). The maximum adsorption capacity reached 87 % at pH~2. Moreover, maximum adsorption capacity of Cr (VI) onto coffee husk 0.660 mg g-1 was recorded after 60 min of using 40 mg L-1 of Cr (VI) with no addition of KNO3 at 40 0C. The kinetic data followed the pseudo-second-order model with regression coefficients R2 = 0.99. The equilibrium data for the adsorption of Cr (VI) onto coffee husk biosorption were fitted into Langmuir and Temkin adsorption isotherm models with R2 = 0.98 corresponding to each model. Thermodynamic studies showed that the coffee husk-Cr (VI) adsorption system was spontaneous and endothermic because negative and positive values were obtained for ΔG° and Δ°H, respectively. The coffee husk was applicable to remove Cr (VI) after three recycling and using different environmental water samples. In conclusion, coffee husk can be used effectively as an adsorption system for Cr (VI) at different polluted sites.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135824888","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 airline industry encompasses a wide range of businesses, called airlines, which offer air transport services for paying customers or business partners. Airline industry can be classed as just one sector of the wider aviation industry. There are a number of services that may be done on a plane when it is parked at an airport terminal gate, and they are known as "aircraft ground handling. The number of passengers using airports continues to rise, pushing such facilities to their maximum capacity. Without the substantial services provided by the Ground Handlers, these brick and mortar infrastructures would not be able to continue to exist. Ground Support Equipment (GSE) is an industry term that refers to support equipment typically found at an airport that is used to service the aircraft between flights. The primary goal of GSE maintenance is to deliver the holder or user with safe and operable equipment that is also presentable, while incurring as little expenses as possible and experiencing as little downtime as possible. The laws that oversee airport operations must be complied with by any maintenance programs that are begun on GSE. Introduced equipment standardization, processes standardization, parts standardization, inventory management, asset management, maintenance KPIS, life of equipment and impacts on performance and reliability. Too little maintenance may lead to expensive breakdowns, poor system performance, and reduced dependability. Regular maintenance improves dependability but raises costs.
{"title":"Aircraft Ground Support Equipment: A Framework for Maintenance Strategies","authors":"Engr. Zia Ur Rahman, Faraz Akbar","doi":"10.5539/mas.v17n2p13","DOIUrl":"https://doi.org/10.5539/mas.v17n2p13","url":null,"abstract":"The airline industry encompasses a wide range of businesses, called airlines, which offer air transport services for paying customers or business partners. Airline industry can be classed as just one sector of the wider aviation industry. There are a number of services that may be done on a plane when it is parked at an airport terminal gate, and they are known as \"aircraft ground handling. The number of passengers using airports continues to rise, pushing such facilities to their maximum capacity. Without the substantial services provided by the Ground Handlers, these brick and mortar infrastructures would not be able to continue to exist. Ground Support Equipment (GSE) is an industry term that refers to support equipment typically found at an airport that is used to service the aircraft between flights. The primary goal of GSE maintenance is to deliver the holder or user with safe and operable equipment that is also presentable, while incurring as little expenses as possible and experiencing as little downtime as possible. The laws that oversee airport operations must be complied with by any maintenance programs that are begun on GSE. Introduced equipment standardization, processes standardization, parts standardization, inventory management, asset management, maintenance KPIS, life of equipment and impacts on performance and reliability. Too little maintenance may lead to expensive breakdowns, poor system performance, and reduced dependability. Regular maintenance improves dependability but raises costs.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75620484","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 implement the intelligence and automation of coal mines, coal recognition plays a crucial role. In order to further improve the accuracy and speed of intelligent coal recognition, this paper proposes a semantic segmentation model based on an improved PSPNET network. (1) The lightweight MobilenetV2 module is used as the backbone feature extraction network. Compared to traditional networks, it has fewer parameters while achieving higher recognition accuracy and speed.(2) The Convolutional Block Attention Module (CBAM) is introduced into the Pyramid Pooling Module (PPM) to enhance the network's ability to extract detailed features and effectively fuse spatial and channel information, thus improving the segmentation accuracy of the model.(3) Data augmentation and image feature enhancement methods are employed to overcome sample distribution differences, enhance model generalization, and adapt to coal-rock recognition tasks in different application scenarios. The proposed approach is tested on a self-made coal segmentation dataset and compared with the unimproved PSPNET, Hernet, U-net, and DeeplabV3+ models in terms of Mean Intersection over Union (Miou), recognition accuracy, edge detail recognition, model size, and parameter count. Experimental results demonstrate that compared to other models, the improved PSPNET network not only has lower computational complexity and parameter count but also exhibits stronger coal detail feature extraction capability, higher segmentation accuracy, and better processing efficiency.Finally, the improved PSPNET model was trained and tested on a coal rock image segmentation dataset with image feature enhancement.The accuracy, MIU and MPA of the improved PSPNET network reached 65.04, 73.15 and 74.27 respectively.It can be seen that the improved network has superior feature extraction ability and computational efficiency to achieve coal surface image recognition. This verifies the feasibility and effectiveness of the proposed method in the actual coal rock image recognition task.
{"title":"Coal Image Recognition Method Based on Improved Semantic Segmentation Model of PSPNET Network","authors":"J. Gao, Kaihua Cui","doi":"10.5539/mas.v17n2p1","DOIUrl":"https://doi.org/10.5539/mas.v17n2p1","url":null,"abstract":"To implement the intelligence and automation of coal mines, coal recognition plays a crucial role. In order to further improve the accuracy and speed of intelligent coal recognition, this paper proposes a semantic segmentation model based on an improved PSPNET network. (1) The lightweight MobilenetV2 module is used as the backbone feature extraction network. Compared to traditional networks, it has fewer parameters while achieving higher recognition accuracy and speed.(2) The Convolutional Block Attention Module (CBAM) is introduced into the Pyramid Pooling Module (PPM) to enhance the network's ability to extract detailed features and effectively fuse spatial and channel information, thus improving the segmentation accuracy of the model.(3) Data augmentation and image feature enhancement methods are employed to overcome sample distribution differences, enhance model generalization, and adapt to coal-rock recognition tasks in different application scenarios. The proposed approach is tested on a self-made coal segmentation dataset and compared with the unimproved PSPNET, Hernet, U-net, and DeeplabV3+ models in terms of Mean Intersection over Union (Miou), recognition accuracy, edge detail recognition, model size, and parameter count. Experimental results demonstrate that compared to other models, the improved PSPNET network not only has lower computational complexity and parameter count but also exhibits stronger coal detail feature extraction capability, higher segmentation accuracy, and better processing efficiency.Finally, the improved PSPNET model was trained and tested on a coal rock image segmentation dataset with image feature enhancement.The accuracy, MIU and MPA of the improved PSPNET network reached 65.04, 73.15 and 74.27 respectively.It can be seen that the improved network has superior feature extraction ability and computational efficiency to achieve coal surface image recognition. This verifies the feasibility and effectiveness of the proposed method in the actual coal rock image recognition task.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87292652","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}
G. S. Contreras, Roberto A.González Lezcano, E. J. L. Fernandez, María Concepción Pérez Gutiérrez
Architecture is currently seeking to create new and innovative building forms that are more sustainable and less harmful to the environment. In this pursuit, architects are turning to nature for inspiration, utilizing biomimicry and biophilic design principles to create buildings that are more in harmony with the natural world. The use of biomimicry and biophilic design has produced encouraging results, as architects are incorporating natural forms and elements into their building projects. This approach has the potential to bring significant advancements in innovation and research, particularly in fields such as green nanotechnology and sustainability. Moreover, the intentional incorporation of nature in building design can have a positive impact on workers' health, leading to reduced stress levels and greater individual satisfaction with their work or living environment. Thus, biomimicry and biophilic design can play a key role in achieving a more sustainable and healthier built environment.
{"title":"Architecture Learns from Nature. The Influence of Biomimicry and Biophilic Design in Building","authors":"G. S. Contreras, Roberto A.González Lezcano, E. J. L. Fernandez, María Concepción Pérez Gutiérrez","doi":"10.5539/mas.v17n1p58","DOIUrl":"https://doi.org/10.5539/mas.v17n1p58","url":null,"abstract":"Architecture is currently seeking to create new and innovative building forms that are more sustainable and less harmful to the environment. In this pursuit, architects are turning to nature for inspiration, utilizing biomimicry and biophilic design principles to create buildings that are more in harmony with the natural world. \u0000 \u0000The use of biomimicry and biophilic design has produced encouraging results, as architects are incorporating natural forms and elements into their building projects. This approach has the potential to bring significant advancements in innovation and research, particularly in fields such as green nanotechnology and sustainability. \u0000 \u0000Moreover, the intentional incorporation of nature in building design can have a positive impact on workers' health, leading to reduced stress levels and greater individual satisfaction with their work or living environment. Thus, biomimicry and biophilic design can play a key role in achieving a more sustainable and healthier built environment.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75917418","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 research inspected the requested of information assay algorithm in quality rein, situation research investigation: Peugeot 207 body entrance. Nowadays, human capability for manufacture and group of dataset have been developing swiftly. Most of facture frolic significant figure in this procedure; namely, prevalent utilization of computer capabilities in various body of knowledge, in expansion tools for set information, study and consistent knowledge systems, integrated banking systems, and electronic commerce. The explosive expansion in stored datum has given rise to new technologies and automated tools to transform the vast amount of datum into facts and knowledge, hence information assay is a solution for the obstacle. Information assay is prophesied to utilize of information assay tools in order to realize the templates and reliable interaction which has undisclosed so far. The willing research is requested to announce information assay in a manufacture company of Iran Automotive firm; that the original purpose is to demonstrate the reliable evaluation and some of dependability and precision controllers in the body construction company. In the recent researches, scholar efforts to provide this precision by cent and utilizing CLEMENTINE schedule, and attempts to show that when the researcher warrants a body, to what extent it can be possible to need to be re-diagnosed by the editors' instant response system. In the current research, the primary data of the quality information systems that have been accessed are used to perform calculations by the CLEMENTINE program. The findings of the study showed that the prediction is reliable in 85% of the opportunities. By using data analysis in the process of quality control and predicting the accuracy of people's performance in the bodybuilding salon and preventing the discovery of problems and defects in the reactivity department.
{"title":"The Application of Information Assay Algorithm in Quality Control, Case Study Research: The Body Making Hall of Peugeot 207","authors":"Mahan Khatib, Ghazal Hosseini","doi":"10.5539/mas.v17n1p51","DOIUrl":"https://doi.org/10.5539/mas.v17n1p51","url":null,"abstract":"This research inspected the requested of information assay algorithm in quality rein, situation research investigation: Peugeot 207 body entrance. Nowadays, human capability for manufacture and group of dataset have been developing swiftly. Most of facture frolic significant figure in this procedure; namely, prevalent utilization of computer capabilities in various body of knowledge, in expansion tools for set information, study and consistent knowledge systems, integrated banking systems, and electronic commerce. The explosive expansion in stored datum has given rise to new technologies and automated tools to transform the vast amount of datum into facts and knowledge, hence information assay is a solution for the obstacle. Information assay is prophesied to utilize of information assay tools in order to realize the templates and reliable interaction which has undisclosed so far. The willing research is requested to announce information assay in a manufacture company of Iran Automotive firm; that the original purpose is to demonstrate the reliable evaluation and some of dependability and precision controllers in the body construction company. In the recent researches, scholar efforts to provide this precision by cent and utilizing CLEMENTINE schedule, and attempts to show that when the researcher warrants a body, to what extent it can be possible to need to be re-diagnosed by the editors' instant response system. In the current research, the primary data of the quality information systems that have been accessed are used to perform calculations by the CLEMENTINE program. The findings of the study showed that the prediction is reliable in 85% of the opportunities. By using data analysis in the process of quality control and predicting the accuracy of people's performance in the bodybuilding salon and preventing the discovery of problems and defects in the reactivity department.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74149824","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}
Autism or autism spectrum disorder (ASD) is considered a psychiatric disorder. It is a condition that puts constraints on the use of linguistic, cognitive, communicative, and social skills and abilities. Recently, many data mining techniques have been developed to help autism patients by discovering the main features of the condition and the correlation between them. In this paper, we employ the association classification (AC) technique as a data mining approach to predict whether or not an individual has an autism. The Intelligent Classification Based on Association rules (ICBA) algorithm is proposed for finding the correlations between the features to decide whether an individual has autism in its early stage, especially in childhood. The ICBA algorithm incorporates the chi-square method to select the best feature to make the decision, in addition to proposing new techniques in all phases and increasing number of folds to 2size of data/10. The proposed algorithm is compared against four well-known AC algorithms in terms of accuracy to evaluate their behavior in the prediction task using big data platform. The results show a better performance for the ICBA algorithm in most experiments. Moreover, all of the considered algorithms had an increased level of accuracy when the chi-square method was used.
自闭症或自闭症谱系障碍(ASD)被认为是一种精神疾病。这是一种对语言、认知、交际和社会技能和能力的使用施加限制的情况。最近，许多数据挖掘技术被开发出来，通过发现自闭症的主要特征和它们之间的相关性来帮助自闭症患者。在本文中，我们采用关联分类(AC)技术作为一种数据挖掘方法来预测个体是否患有自闭症。提出了基于关联规则的智能分类算法(ICBA)，用于发现特征之间的相关性，以确定个体是否在早期，特别是在儿童时期患有自闭症。ICBA算法结合了卡方方法来选择最佳特征进行决策，并在所有阶段提出了新的技术，并将折叠次数增加到2size of data/10。将该算法与四种知名的AC算法在准确率方面进行比较，以评估其在大数据平台预测任务中的表现。实验结果表明，ICBA算法具有较好的性能。此外，当使用卡方方法时，所有考虑的算法都具有更高的准确性。
{"title":"An Intelligent Technique to Predict the Autism Spectrum Disorder Using Big Data Platform","authors":"J. Alwidian","doi":"10.5539/mas.v17n1p28","DOIUrl":"https://doi.org/10.5539/mas.v17n1p28","url":null,"abstract":"Autism or autism spectrum disorder (ASD) is considered a psychiatric disorder. It is a condition that puts constraints on the use of linguistic, cognitive, communicative, and social skills and abilities. Recently, many data mining techniques have been developed to help autism patients by discovering the main features of the condition and the correlation between them. In this paper, we employ the association classification (AC) technique as a data mining approach to predict whether or not an individual has an autism. The Intelligent Classification Based on Association rules (ICBA) algorithm is proposed for finding the correlations between the features to decide whether an individual has autism in its early stage, especially in childhood. The ICBA algorithm incorporates the chi-square method to select the best feature to make the decision, in addition to proposing new techniques in all phases and increasing number of folds to 2size of data/10. The proposed algorithm is compared against four well-known AC algorithms in terms of accuracy to evaluate their behavior in the prediction task using big data platform. The results show a better performance for the ICBA algorithm in most experiments. Moreover, all of the considered algorithms had an increased level of accuracy when the chi-square method was used.","PeriodicalId":18713,"journal":{"name":"Modern Applied Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84584609","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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