Pub Date : 2020-12-25DOI: 10.51916/AKSH.2020.V01I01.001
Engr Farina Jaffrani, Sayed Fayaz Ahmed
The objective of the study is to identify the influence of Benefits Realization Management practices on project success in the Pakistani construction industry and to reduce the gap between effective planning, project implementation, time overrun and cost overrun. This research consists of six stages, the data samples are collected through a questionnaire survey from the owner, consultant, and clients affected by the construction industry. The survey result identified first and inspect the elements that create time and increase costs in construction projects. To practice project management, the study is to start with a discussion that BRM can be integrated through -projects and programs to support successful organizational strategic goals. This will not only help the organizations to recover the success rates of their projects but also help the business to reap the business benefits. The success of construction projects depends on achieving goals and objectives within time and budget. The organization plays a major part in construction projects and appropriate measures should be proposed to minimize such errors. The major issues that management faces during projects are implementation, organization of workers, equipment, agendas, and money. The results are debated in the presence of the existing environment in Pakistan's public and private sector organizations respondents identified the -main causes of cost and time overruns. The main reasons behind the cost and time overrun were inflation, unexpected climate conditions like heavy rainfall, and design and work allowance during the project.
{"title":"Benefits Realization Management and Its Impacts on Project Success","authors":"Engr Farina Jaffrani, Sayed Fayaz Ahmed","doi":"10.51916/AKSH.2020.V01I01.001","DOIUrl":"https://doi.org/10.51916/AKSH.2020.V01I01.001","url":null,"abstract":"The objective of the study is to identify the influence of Benefits Realization Management practices on project success in the Pakistani construction industry and to reduce the gap between effective planning, project implementation, time overrun and cost overrun. This research consists of six stages, the data samples are collected through a questionnaire survey from the owner, consultant, and clients affected by the construction industry. The survey result identified first and inspect the elements that create time and increase costs in construction projects. To practice project management, the study is to start with a discussion that BRM can be integrated through -projects and programs to support successful organizational strategic goals. This will not only help the organizations to recover the success rates of their projects but also help the business to reap the business benefits. The success of construction projects depends on achieving goals and objectives within time and budget. The organization plays a major part in construction projects and appropriate measures should be proposed to minimize such errors. The major issues that management faces during projects are implementation, organization of workers, equipment, agendas, and money. The results are debated in the presence of the existing environment in Pakistan's public and private sector organizations respondents identified the -main causes of cost and time overruns. The main reasons behind the cost and time overrun were inflation, unexpected climate conditions like heavy rainfall, and design and work allowance during the project.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"351 1","pages":"96-99"},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82597458","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}
Mohamad Ali Ahsan Mohd Ali Atma, M. Azmi, Isyaku Hassan
This study investigates the influence of modern video games on children’s Second Language Acquisition (SLA). The study employs a qualitative, case study approach. The data were obtained through observations from a 7-year-old child selected via purposive sampling. The data were analyzed through a deductive thematic approach and discussed using Schema Theory to evaluate the participant’s usage of the English language learned from video games. By analyzing and understanding this phenomenon, the researchers are inclined to understand how modern video games enable children to absorb knowledge and acquire a second language faster than other methods. We hypothesize that the acquisition of a second language is caused by the Critical Period Hypothesis (CPH) through the facilitation of communication and context between the player and the video games. This research aspires to provide more insights into the prospect of video games as a tool for language acquisition.
本研究旨在探讨现代电子游戏对儿童第二语言习得的影响。本研究采用定性的案例研究方法。数据是通过有目的抽样对一名7岁儿童进行观察获得的。通过演绎主题方法对数据进行分析,并利用图式理论来评估参与者从电子游戏中学到的英语语言的使用情况。通过分析和理解这一现象,研究人员倾向于理解现代电子游戏是如何使儿童比其他方法更快地吸收知识和习得第二语言的。我们假设第二语言的习得是由关键期假说(Critical Period Hypothesis, CPH)引起的,通过促进玩家与电子游戏之间的交流和语境。这项研究旨在为电子游戏作为语言习得工具的前景提供更多见解。
{"title":"The Influence of Modern Video Games on Children’s Second Language Acquisition","authors":"Mohamad Ali Ahsan Mohd Ali Atma, M. Azmi, Isyaku Hassan","doi":"10.2139/ssrn.3680020","DOIUrl":"https://doi.org/10.2139/ssrn.3680020","url":null,"abstract":"This study investigates the influence of modern video games on children’s Second Language Acquisition (SLA). The study employs a qualitative, case study approach. The data were obtained through observations from a 7-year-old child selected via purposive sampling. The data were analyzed through a deductive thematic approach and discussed using Schema Theory to evaluate the participant’s usage of the English language learned from video games. By analyzing and understanding this phenomenon, the researchers are inclined to understand how modern video games enable children to absorb knowledge and acquire a second language faster than other methods. We hypothesize that the acquisition of a second language is caused by the Critical Period Hypothesis (CPH) through the facilitation of communication and context between the player and the video games. This research aspires to provide more insights into the prospect of video games as a tool for language acquisition.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"24 1","pages":"319-323"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73627198","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}
Water transportation is the transportation of people and goods using water modes as a means of connecting one location to another. There are three canals in the center of Makassar City with a total length of 15.11 km. These canals function as an urban drainage and also as a main base for flood control. This canal has become one of the potentials that can be used to unravel road-based movements while at the same time solving the congestion problems that occur in Makassar City by utilizing it as an urban transportation medium both as a travel for daily needs (formal) and recreational activities (non-formal). This research was conducted to see how the demand preferences of canal-based transportation modes, variables that affect the willingness to use channels as a transportation medium, and the extent to which the role of channels becomes an alternative transportation medium. This study uses a descriptive quantitative method approach to achieve these objectives using the method of crosstab analysis, multinomial logistic regression and approaches with stated preference methods. Based on the results of the analysis, there are four variables that significantly affect respondents' willingness to use canal / waterway based transportation services, namely income per month, travel time, reasons for choosing modes, and tariff tolerance. In the stated preference analysis, the results show that the operation of the waterway transportation will cause the shift of road-based mode users to travel, where the increase is 31.10% for scenario 1 and 37.26% for scenario 2.
{"title":"Demand Potential On Canal Utilization As Alternative Urban Transportation Medium In Makassar City","authors":"Amiruddin Akbar Fisu, I. Syabri","doi":"10.31219/osf.io/h78fs","DOIUrl":"https://doi.org/10.31219/osf.io/h78fs","url":null,"abstract":"Water transportation is the transportation of people and goods using water modes as a means of connecting one location to another. There are three canals in the center of Makassar City with a total length of 15.11 km. These canals function as an urban drainage and also as a main base for flood control. This canal has become one of the potentials that can be used to unravel road-based movements while at the same time solving the congestion problems that occur in Makassar City by utilizing it as an urban transportation medium both as a travel for daily needs (formal) and recreational activities (non-formal). This research was conducted to see how the demand preferences of canal-based transportation modes, variables that affect the willingness to use channels as a transportation medium, and the extent to which the role of channels becomes an alternative transportation medium. This study uses a descriptive quantitative method approach to achieve these objectives using the method of crosstab analysis, multinomial logistic regression and approaches with stated preference methods. Based on the results of the analysis, there are four variables that significantly affect respondents' willingness to use canal / waterway based transportation services, namely income per month, travel time, reasons for choosing modes, and tariff tolerance. In the stated preference analysis, the results show that the operation of the waterway transportation will cause the shift of road-based mode users to travel, where the increase is 31.10% for scenario 1 and 37.26% for scenario 2.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"26 1","pages":"129-134"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85680592","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 : 2020-06-25DOI: 10.19101/IJATEE.2020.762150
M. A. Mohamed
A transposition cipher is a method of encryption by which the positions held by units of plaintext are shifted according to a regular function so that the ciphertext constitutes a permutation of the plaintext. That is, the order of the units is changed (the plaintext is reordered). Mathematically a bijective function is used on the characters' positions to encrypt and an inverse function to decrypt. Knowing that the vertical and horizontal rings of the Hungarian cube can move left and skilfully in a circular manner, as well as any face of the cube. We have been inspired by this Hungarian cube (Rubik's cube) to realize our image encryption system that is a kind of diffusion cipher or a cipher transposition. We have baptized it: Six-Dos Transposition. The implementation is simple and we have improved the security of the encryption system by eliminating the linearity effect of the coefficient of the adjacent pixels. The length of the encryption key of the cryptosystem that uses Six-Dos Transposition is increased by 63 bits for proposal 1 which is a single Six-Dos transposition to encrypt the main image and, it increased by 129 bits for proposal 3 which uses two Six-Dos transpositions to encrypt the main image. We encrypt each sub-image with the same Six-Dos transposition, and at the end, we encrypt the main image with a special Six-Dos transposition.
{"title":"The six-dos transposition cipher based on the rubik s cube","authors":"M. A. Mohamed","doi":"10.19101/IJATEE.2020.762150","DOIUrl":"https://doi.org/10.19101/IJATEE.2020.762150","url":null,"abstract":"A transposition cipher is a method of encryption by which the positions held by units of plaintext are shifted according to a regular function so that the ciphertext constitutes a permutation of the plaintext. That is, the order of the units is changed (the plaintext is reordered). Mathematically a bijective function is used on the characters' positions to encrypt and an inverse function to decrypt. Knowing that the vertical and horizontal rings of the Hungarian cube can move left and skilfully in a circular manner, as well as any face of the cube. We have been inspired by this Hungarian cube (Rubik's cube) to realize our image encryption system that is a kind of diffusion cipher or a cipher transposition. We have baptized it: Six-Dos Transposition. The implementation is simple and we have improved the security of the encryption system by eliminating the linearity effect of the coefficient of the adjacent pixels. The length of the encryption key of the cryptosystem that uses Six-Dos Transposition is increased by 63 bits for proposal 1 which is a single Six-Dos transposition to encrypt the main image and, it increased by 129 bits for proposal 3 which uses two Six-Dos transpositions to encrypt the main image. We encrypt each sub-image with the same Six-Dos transposition, and at the end, we encrypt the main image with a special Six-Dos transposition.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"3 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77474995","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 : 2020-06-25DOI: 10.6084/M9.FIGSHARE.12631436.V4
J. Holguin-Alvarez, L. Garro-Aburto, Y. Uribe-Hernández, Pedro Novoa-Castillo
La demanda cognitiva en matematicas es crucial para abordar la resolucion de problemas, aprender geometria, estadisticas y otras disciplinas que se ejercen cuando los estudiantes enfrentan tareas complejas, que comienzan de la escuela a la universidad. Sin embargo, ninguna actividad desarrollada en el aula, basada en actividades ancladas en etapas emocionales y afectivas que desarrollen el compromiso del estudiante con las matematicas, ha sido estudiada por la ciencia educativa en este campo. Por esta razon, la investigacion propuso aumentar las habilidades para desarrollar tareas de alta demanda cognitiva en matematicas en una muestra de 335 estudiantes de primaria de escuelas publicas y privadas en Peru. Se utilizo una prueba estandarizada utilizando el metodo de correlacion y la fiabilidad regular. Los resultados muestran altos niveles de acercamiento a tareas de bajo nivel de informacion conectivo, en tareas de alto nivel, pero existen dificultades para aumentar las habilidades para resolver tareas con alta demanda cognitiva. Concluimos que las tareas con alta demanda cognitiva requieren mas de ocho meses de experimentacion practica, con mayor diligencia en el desarrollo de tareas personalizadas en lugar de las grupales. El grupo experimental demostro que despues de 80 sesiones de aprendizaje, los estudiantes logran abordar tareas de alta demanda, aunque necesitan mas apoyo para formular otros problemas de naturaleza similar como evidencias sustanciales.
{"title":"Method Based On Challenging Flow By Competences For Tasks With High Cognitive Demand","authors":"J. Holguin-Alvarez, L. Garro-Aburto, Y. Uribe-Hernández, Pedro Novoa-Castillo","doi":"10.6084/M9.FIGSHARE.12631436.V4","DOIUrl":"https://doi.org/10.6084/M9.FIGSHARE.12631436.V4","url":null,"abstract":"La demanda cognitiva en matematicas es crucial para abordar la resolucion de problemas, aprender geometria, estadisticas y otras disciplinas que se ejercen cuando los estudiantes enfrentan tareas complejas, que comienzan de la escuela a la universidad. Sin embargo, ninguna actividad desarrollada en el aula, basada en actividades ancladas en etapas emocionales y afectivas que desarrollen el compromiso del estudiante con las matematicas, ha sido estudiada por la ciencia educativa en este campo. Por esta razon, la investigacion propuso aumentar las habilidades para desarrollar tareas de alta demanda cognitiva en matematicas en una muestra de 335 estudiantes de primaria de escuelas publicas y privadas en Peru. Se utilizo una prueba estandarizada utilizando el metodo de correlacion y la fiabilidad regular. Los resultados muestran altos niveles de acercamiento a tareas de bajo nivel de informacion conectivo, en tareas de alto nivel, pero existen dificultades para aumentar las habilidades para resolver tareas con alta demanda cognitiva. Concluimos que las tareas con alta demanda cognitiva requieren mas de ocho meses de experimentacion practica, con mayor diligencia en el desarrollo de tareas personalizadas en lugar de las grupales. El grupo experimental demostro que despues de 80 sesiones de aprendizaje, los estudiantes logran abordar tareas de alta demanda, aunque necesitan mas apoyo para formular otros problemas de naturaleza similar como evidencias sustanciales.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"61 1","pages":"772-777"},"PeriodicalIF":0.0,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79863374","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}
K. Vengatesan, A. Srivastava, Abhishek Kumar, Sayyad Samee, Prasant Thokal Vijay, P. S. Tanesh
This research paper explores the system which is used to recommend car to the users based on the requirement provided by the user. Various requirement of users while choosing a car such as capacity of car, fuel type, and budget are considered and based on that various recommendations are given to user. These recommendations are suggested by using machine learning techniques and different visualization options are available, in order to provide user detailed analysis based on different parameters. The online check option is also available which makes system more supportive and compare different models based on various parameters. The system enables users to choose among plenty of options and select the best suited model.
{"title":"A novel Approach of Car Recommendation using Machine Learning Algorithm","authors":"K. Vengatesan, A. Srivastava, Abhishek Kumar, Sayyad Samee, Prasant Thokal Vijay, P. S. Tanesh","doi":"10.37896/jxu14.5/013","DOIUrl":"https://doi.org/10.37896/jxu14.5/013","url":null,"abstract":"This research paper explores the system which is used to recommend car to the users based on the requirement provided by the user. Various requirement of users while choosing a car such as capacity of car, fuel type, and budget are considered and based on that various recommendations are given to user. These recommendations are suggested by using machine learning techniques and different visualization options are available, in order to provide user detailed analysis based on different parameters. The online check option is also available which makes system more supportive and compare different models based on various parameters. The system enables users to choose among plenty of options and select the best suited model.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"62 14 1","pages":"170-173"},"PeriodicalIF":0.0,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87245212","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}
Dini Hariyati Adam, Elvina, Mila Nirmala Sari Hasibuan, R. Syahputra, Laili Habibah Pasaribu, Suriyani
Green chemistry is known as a study that aims to reduce or eliminate the adverse effects of the use of hazardous chemicals that can damage the environment and health. Environmental damage and poor health as caused by hazardous chemicals will affect the issuance of costs. This present study aims to discuss green chemistry and its impact on the economy through a literature review. This study is a review article that explains the concept of green chemistry and its impact on the economy. Based on the results of the study showed that the implementation of green chemistry will reduce the cost of recovery, prevention, and also reduce health costs. It is recommended that the firms in conducting manufacturing activities adopt green chemistry in their manufacturing activities.
{"title":"Green Chemistry: The Economic Impact Perspective","authors":"Dini Hariyati Adam, Elvina, Mila Nirmala Sari Hasibuan, R. Syahputra, Laili Habibah Pasaribu, Suriyani","doi":"10.31219/osf.io/gqe63","DOIUrl":"https://doi.org/10.31219/osf.io/gqe63","url":null,"abstract":"Green chemistry is known as a study that aims to reduce or eliminate the adverse effects of the use of hazardous chemicals that can damage the environment and health. Environmental damage and poor health as caused by hazardous chemicals will affect the issuance of costs. This present study aims to discuss green chemistry and its impact on the economy through a literature review. This study is a review article that explains the concept of green chemistry and its impact on the economy. Based on the results of the study showed that the implementation of green chemistry will reduce the cost of recovery, prevention, and also reduce health costs. It is recommended that the firms in conducting manufacturing activities adopt green chemistry in their manufacturing activities.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"23 1","pages":"471-473"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84835809","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}
Pneumonia is an infectious and deadly illness in respiratory that is caused by bacteria, fungi, or a virus that infects the human lung air sacs with the load full of fluid or pus. Chest X-rays are the common method used to diagnose pneumonia and it needs a medical expert to evaluate the result of X-ray. The troublesome method of detecting the pneumonia cause a life loss due to improper diagnosis and treatment. With the emerging computer technology, development on an automatic system to detect pneumonia and treating the disease is now possible especially if the patient is in a distant area and medical services is limited. This study intends to incorporate deep learning methods to alleviate the problem. Convolutional Neural Network is optimized to perform the complicated task of detecting diseases like pneumonia to assist medical experts in diagnosis and possible treatment of the disease. The authors developed several models to determine the best possible model in detecting pneumonia with the most accurate results. This study has trained five different models of CNN, namely AlexNet, LeNet, GoogleNet, ResNet and VGGNet using 1024 by 1024 resolution of 26,684 dataset images. The result achieved a 97 percent accuracy rate for VGGNet and the lowest rate is 74 percent achieved by the ResNet model. The result of statistics shows that the trained model was able to detect Pneumonia through examined images of chest X-ray.
{"title":"Pneumonia Detection Using Convolutional\u0000Neural Networks","authors":"Sammy V. Militante, Brandon G. Sibbaluca","doi":"10.46501/ijmtst070117","DOIUrl":"https://doi.org/10.46501/ijmtst070117","url":null,"abstract":"Pneumonia is an infectious and deadly illness in respiratory that is caused by bacteria, fungi, or a virus that infects the human lung air sacs with the load full of fluid or pus. Chest X-rays are the common method used to diagnose pneumonia and it needs a medical expert to evaluate the result of X-ray. The troublesome method of detecting the pneumonia cause a life loss due to improper diagnosis and treatment. With the emerging computer technology, development on an automatic system to detect pneumonia and treating the disease is now possible especially if the patient is in a distant area and medical services is limited. This study intends to incorporate deep learning methods to alleviate the problem. Convolutional Neural Network is optimized to perform the complicated task of detecting diseases like pneumonia to assist medical experts in diagnosis and possible treatment of the disease. The authors developed several models to determine the best possible model in detecting pneumonia with the most accurate results. This study has trained five different models of CNN, namely AlexNet, LeNet, GoogleNet, ResNet and VGGNet using 1024 by 1024 resolution of 26,684 dataset images. The result achieved a 97 percent accuracy rate for VGGNet and the lowest rate is 74 percent achieved by the ResNet model. The result of statistics shows that the trained model was able to detect Pneumonia through examined images of chest X-ray.","PeriodicalId":14347,"journal":{"name":"International Journal of Scientific & Technology Research","volume":"70 1","pages":"1332-1337"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89943187","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}