Libraries have long been interested in new technology, both for their ability to improve service quality and for their potential to improve operational efficiency. In light of the potential savings in operations and administration of collections and users that e-resources provide, libraries of all types—public, academic research, and special—are eager to embrace new technology. In order to be read by a computer, e-resources are digital objects that include electronic representations of books, journals, and other reading materials. Electronic versions of library materials are now widely accessible and may be accessed over the internet. There is no time limit on when you may get the information you need.
{"title":"An Analytical Study on the Purpose and Use of the E-Resources in Libraries with Special Reference to Mody University of Science and Technology, Rajasthan","authors":"Vijay Parashar, Dr. Praveen Babel","doi":"10.17762/msea.v71i3.126","DOIUrl":"https://doi.org/10.17762/msea.v71i3.126","url":null,"abstract":"Libraries have long been interested in new technology, both for their ability to improve service quality and for their potential to improve operational efficiency. In light of the potential savings in operations and administration of collections and users that e-resources provide, libraries of all types—public, academic research, and special—are eager to embrace new technology. In order to be read by a computer, e-resources are digital objects that include electronic representations of books, journals, and other reading materials. Electronic versions of library materials are now widely accessible and may be accessed over the internet. There is no time limit on when you may get the information you need.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42821073","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 : 2022-06-03DOI: 10.17762/msea.v71i2.1525
Mohammad Mushaib, Anil Kumar, Akhilesh Kumar Pandey, Shweta Shahi
A novel and successful method for RF, microwave modelling, and antenna design has gained attention: computational modules based on neural networks. The behavior of active or passive components or circuits can be taught to neural networks. The design of a microstrip patch antenna utilizing an artificial neural network (ANN) is discussed in this research. Computer Simulation Technology (CST) is used to establish the antenna's size and characteristics in order to create a successful ANN model. The feed-forward back-propagation neural network and Levenberg Marquardt optimization algorithm are used to model the antenna design. High-Frequency Structure Simulator (HFSS) software, operating at 2.4 GHz, is used to build the initial microstrip patch (ISM band).A 2.4GHz operating frequency is used to create a 2*2 microstrip planar array. A variety of neural networks are evaluated and trained to produce the most ideal results after generating and modelling discoveries using HFSS simulation software and the Finite Difference Time Domain (FTDT) approach. In this research, neural networks are utilized. In order to identify the most ideal solution, optimization is performed using a radial basis function neural network (RBF NN) and a feed-forward backpropagation approach.
{"title":"2x2 Array Microstrip Patch Antenna Designing and Validation with Artificial Neural Networks","authors":"Mohammad Mushaib, Anil Kumar, Akhilesh Kumar Pandey, Shweta Shahi","doi":"10.17762/msea.v71i2.1525","DOIUrl":"https://doi.org/10.17762/msea.v71i2.1525","url":null,"abstract":"A novel and successful method for RF, microwave modelling, and antenna design has gained attention: computational modules based on neural networks. The behavior of active or passive components or circuits can be taught to neural networks. The design of a microstrip patch antenna utilizing an artificial neural network (ANN) is discussed in this research. Computer Simulation Technology (CST) is used to establish the antenna's size and characteristics in order to create a successful ANN model. The feed-forward back-propagation neural network and Levenberg Marquardt optimization algorithm are used to model the antenna design. High-Frequency Structure Simulator (HFSS) software, operating at 2.4 GHz, is used to build the initial microstrip patch (ISM band).A 2.4GHz operating frequency is used to create a 2*2 microstrip planar array. A variety of neural networks are evaluated and trained to produce the most ideal results after generating and modelling discoveries using HFSS simulation software and the Finite Difference Time Domain (FTDT) approach. In this research, neural networks are utilized. In order to identify the most ideal solution, optimization is performed using a radial basis function neural network (RBF NN) and a feed-forward backpropagation approach.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49125664","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}
Sensors may be configured to collect the various parameters those do not change over a long interval (i.e. water level, soil attributes/ fertilizer quantity of agriculture land/ growth of crops). In case, if all sensors start transmission after a lengthy intermission, it may cause packet drop over network and excessive resources may be exhausted due to retransmission. To manage the bulk data forwarding with minimum resource consumption, in this paper, an application scheduler is introduced to enforce the discipline bulk data transmission. Its performance is analyzed using LEACH protocol under the constraints of various parameters (Throughput/remaining energy/number of dead/alive sensors) with sensor density (100-300).
{"title":"Dynamic Scheduler for WSN Applications in Precision Agriculture","authors":"Kunal Goel, Amit Kumar Bindal","doi":"10.17762/msea.v71i2.100","DOIUrl":"https://doi.org/10.17762/msea.v71i2.100","url":null,"abstract":"Sensors may be configured to collect the various parameters those do not change over a long interval (i.e. water level, soil attributes/ fertilizer quantity of agriculture land/ growth of crops). In case, if all sensors start transmission after a lengthy intermission, it may cause packet drop over network and excessive resources may be exhausted due to retransmission. To manage the bulk data forwarding with minimum resource consumption, in this paper, an application scheduler is introduced to enforce the discipline bulk data transmission. Its performance is analyzed using LEACH protocol under the constraints of various parameters (Throughput/remaining energy/number of dead/alive sensors) with sensor density (100-300).","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48773747","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}
Scientific research is a significant component in the field of education. It is a systematic effort not only to get proficiency in teaching but also to stimulate independent search for new knowledge, to unravel scientific issues and to identify how to study the information. This study aimed to investigate the views of North Indian engineering faculty members on the scientific research methods (SRM). The research data was collected through a structured questionnaire and interviews. The faculty members were asked questions about scientific research methods and their opinion about how to improve the effectiveness of engineering faculty in teaching and research. To this aim, the main effects of the scientific research methods on academics and research have been studied. The research work data was collected from more than five hundred faculty members and was analysed with the descriptive method. The findings indicate a positive relationship between teaching pedagogy and scientific research methods. The results also revealed that the engineering faculty members lacked knowledge about scientific research methods which further impedes the systematic teaching-learning process.
{"title":"Views on Scientific Research Methods: A Study of North Indian Engineering Faculty Members","authors":"Manusmriti Sharma, A. K. Malik","doi":"10.17762/msea.v71i2.99","DOIUrl":"https://doi.org/10.17762/msea.v71i2.99","url":null,"abstract":"Scientific research is a significant component in the field of education. It is a systematic effort not only to get proficiency in teaching but also to stimulate independent search for new knowledge, to unravel scientific issues and to identify how to study the information. This study aimed to investigate the views of North Indian engineering faculty members on the scientific research methods (SRM). The research data was collected through a structured questionnaire and interviews. The faculty members were asked questions about scientific research methods and their opinion about how to improve the effectiveness of engineering faculty in teaching and research. To this aim, the main effects of the scientific research methods on academics and research have been studied. The research work data was collected from more than five hundred faculty members and was analysed with the descriptive method. The findings indicate a positive relationship between teaching pedagogy and scientific research methods. The results also revealed that the engineering faculty members lacked knowledge about scientific research methods which further impedes the systematic teaching-learning process.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47758426","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 driving range of an electric car is restricted. There aren't many charging stations in India, so those that exist must be efficient. This study's purpose is to develop a set of criteria for selecting successful algorithms for scheduling EV charging in photovoltaic micro grids Due to the similarities between EV charging scheduling and timetabling scheduling, research works on other fields' scheduling were thoroughly analyzed. This involves scheduling issues. The paper also reviews scheduling constraints, particularly for solar-powered electric vehicles. Charging electric vehicles on smart micro grids using PV is encouraged. Electric automobiles (EVs) are gaining worldwide favour over conventional cars. However, the higher purchase price of an EV may still be the main market obstacle. Customers choose EVs for various reasons, including lower carbon emissions and higher performance. Consumers with environmental awareness and a renewable energy perspective are needed. A recent study found that a 1% increase in renewable energy sources increases EV demand by 2-6%. It is acknowledged that EVs provide new potential for control and consumption flexibility by adjusting the charging power at a given moment. Particle swarm optimization for grid charging electric vehicles Electric vehicles must be recharged after a distance. Because electric vehicles are a viable alternative to internal combustion engines, the technology has grown rapidly. Electric vehicles have fewer emissions, better energy efficiency, less noise pollution, and cheaper operating and maintenance expenses. We plan to use this research to identify efficient algorithms for charging electric vehicles (EVs) in photovoltaic microgrids. The similarities between scheduling timetabling and EV charging prompted a review of literature on scheduling in many domains, particularly timetabling.
{"title":"Numerical Simulation Design of Improved Meta Heuristic Charging Scheduling for Electrical Vehicle Applications","authors":"Bharat Bhushan Jain, Nandkishor Gupta, Virendra Swaroop Sangtani, Vikash Kajla","doi":"10.17762/msea.v71i2.98","DOIUrl":"https://doi.org/10.17762/msea.v71i2.98","url":null,"abstract":"The driving range of an electric car is restricted. There aren't many charging stations in India, so those that exist must be efficient. This study's purpose is to develop a set of criteria for selecting successful algorithms for scheduling EV charging in photovoltaic micro grids Due to the similarities between EV charging scheduling and timetabling scheduling, research works on other fields' scheduling were thoroughly analyzed. This involves scheduling issues. The paper also reviews scheduling constraints, particularly for solar-powered electric vehicles. Charging electric vehicles on smart micro grids using PV is encouraged. Electric automobiles (EVs) are gaining worldwide favour over conventional cars. However, the higher purchase price of an EV may still be the main market obstacle. Customers choose EVs for various reasons, including lower carbon emissions and higher performance. Consumers with environmental awareness and a renewable energy perspective are needed. A recent study found that a 1% increase in renewable energy sources increases EV demand by 2-6%. It is acknowledged that EVs provide new potential for control and consumption flexibility by adjusting the charging power at a given moment. Particle swarm optimization for grid charging electric vehicles Electric vehicles must be recharged after a distance. Because electric vehicles are a viable alternative to internal combustion engines, the technology has grown rapidly. Electric vehicles have fewer emissions, better energy efficiency, less noise pollution, and cheaper operating and maintenance expenses. We plan to use this research to identify efficient algorithms for charging electric vehicles (EVs) in photovoltaic microgrids. The similarities between scheduling timetabling and EV charging prompted a review of literature on scheduling in many domains, particularly timetabling.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43529130","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}
Big data in healthcare refers to vast amounts of data generated by the adoption of digital technology that collect patient records and aid in the management of hospital performance, which would otherwise be too large and complex for traditional technologies. We have chosen Mortality Prediction in Hospital ICU for this paper. In recent years, there has been a determined push in hospitals to implement digital health record systems. Between 2008 and 2014, the number of non-federal acute care hospitals in the United States using basic digital systems climbed from 9.4 percent to 75.5 percent. In the near future, the percentage increase in the hospital's digital information will be enormous, and we will need to apply modern big data techniques to analyse those datasets. In the best sense, the future of medical diagnosis and therapy is a combination of medical judgement and an algorithmic diagnostic tool based on large medical information. For our research, we used the MIMIC III database. In this paper, we will go over why Mortality Prediction in ICU is interesting, as well as the method we used to examine and address the problem.
{"title":"Design Simulation and Assessment of Prediction of Mortality in Intensive Care Unit Using Intelligent Algorithms","authors":"Satish Kumar Alaria, Vivek Sharma, Ashish Raj, Vijay Kumar","doi":"10.17762/msea.v71i2.97","DOIUrl":"https://doi.org/10.17762/msea.v71i2.97","url":null,"abstract":"Big data in healthcare refers to vast amounts of data generated by the adoption of digital technology that collect patient records and aid in the management of hospital performance, which would otherwise be too large and complex for traditional technologies. We have chosen Mortality Prediction in Hospital ICU for this paper. In recent years, there has been a determined push in hospitals to implement digital health record systems. Between 2008 and 2014, the number of non-federal acute care hospitals in the United States using basic digital systems climbed from 9.4 percent to 75.5 percent. In the near future, the percentage increase in the hospital's digital information will be enormous, and we will need to apply modern big data techniques to analyse those datasets. In the best sense, the future of medical diagnosis and therapy is a combination of medical judgement and an algorithmic diagnostic tool based on large medical information. For our research, we used the MIMIC III database. In this paper, we will go over why Mortality Prediction in ICU is interesting, as well as the method we used to examine and address the problem.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48210053","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 concerns to apply numerical methods and derives a comparative Abdominal Aortic Aneurysm (AAA). An accuracy comparison has been made using the index of rupturing risk versus one computed index. The study examines some factors such as age, Mean Arterial Pressure (MAP), stress-strain via the arterial wall stress (?), wall strength(S), and wall thickness (t). The qualms of AAA wall thickness are the most prevailing endogenous factors, as well as the wall stress and wall strength. A comparison between the Probabilistic Wall Rupture Index (PWRI), diameter-based index, and the output of the numerical method was done considering prediction power. Data records were taken from patients who underwent CT-Scan and ultrasound. Ten patients without rupturing cases were included in the statistical assessments. A matched diameter of a ruptured sample (n=7) and an unruptured sample (n=7) AAA was then considered. All the uncertainties that were observed in the thickness of the AAA wall and its strength were considered based originally on Laplace modified equation and PRRI analysis. The criteria for fitting a straight line to the data points were used for data graphing regarding the random nature of the collected data points. Statistical analysis (and plotting) of data was performed using MinitabTM, SPSSTM, and MatlabTM. The collagen-to- elastin ratio was taken as a measure of the AAA wall stiffness and tensile strength. The obtained results show that modified equations give a considerable coincide and minimum error compared with the original equation, and PRRI indicated a strong sensitivity more than the numerical models.
{"title":"Numerical and Probabilistic Methods for Modeling of Abdominal Aortic Aneurysm Rupturing Risk","authors":"Dr. Nawal Siddig","doi":"10.17762/msea.v71i2.96","DOIUrl":"https://doi.org/10.17762/msea.v71i2.96","url":null,"abstract":"This study concerns to apply numerical methods and derives a comparative Abdominal Aortic Aneurysm (AAA). An accuracy comparison has been made using the index of rupturing risk versus one computed index. The study examines some factors such as age, Mean Arterial Pressure (MAP), stress-strain via the arterial wall stress (?), wall strength(S), and wall thickness (t). The qualms of AAA wall thickness are the most prevailing endogenous factors, as well as the wall stress and wall strength. A comparison between the Probabilistic Wall Rupture Index (PWRI), diameter-based index, and the output of the numerical method was done considering prediction power. Data records were taken from patients who underwent CT-Scan and ultrasound. Ten patients without rupturing cases were included in the statistical assessments. A matched diameter of a ruptured sample (n=7) and an unruptured sample (n=7) AAA was then considered. All the uncertainties that were observed in the thickness of the AAA wall and its strength were considered based originally on Laplace modified equation and PRRI analysis. The criteria for fitting a straight line to the data points were used for data graphing regarding the random nature of the collected data points. Statistical analysis (and plotting) of data was performed using MinitabTM, SPSSTM, and MatlabTM. The collagen-to- elastin ratio was taken as a measure of the AAA wall stiffness and tensile strength. The obtained results show that modified equations give a considerable coincide and minimum error compared with the original equation, and PRRI indicated a strong sensitivity more than the numerical models.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43331740","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}
Sharda Tiwari, Dr. Namrata Dhanda, Dr. Harsh Dev, Digesh Pandey
Healthcare industry constantly faces many issues such as patient data access, drug storage log, medical records, or logs these are only a few of the many problems hospitals and other medical institutions must deal with. Healthcare industry must balance patient care with information privacy, security. The healthcare industry faces major issues like, putting the patient at the center, privacy and access, completeness of medical information, cost, supply chain management, drug records. Medical record keeping has evolved into a science of itself, even though the traditional method of storing data over a centralized database can be harmful as mentioned in the sections above, it can be prone to hacking or even a single point failure. Another issue with storing medical data in these databases is that, when these databases need an update in software all the servers are temporally down until the updates are finished. This small window can lead to be very lethal as healthcare is a 24/7 work. Blockchain technology and cryptocurrencies are being touted as the “solution” to problems in many different, disparate sectors throughout multiple industries. In this paper the goal is to identify blockchain technology applications in healthcare industry by conduction a systematic literature based on which a framework will be proposed. The promise of blockchain extends into the healthcare industry allowing a transformation of the current system and its use of information technology.
{"title":"A Hybrid Framework based on IoT and Blockchain Network to Store the Patient Health Data","authors":"Sharda Tiwari, Dr. Namrata Dhanda, Dr. Harsh Dev, Digesh Pandey","doi":"10.17762/msea.v71i2.91","DOIUrl":"https://doi.org/10.17762/msea.v71i2.91","url":null,"abstract":"Healthcare industry constantly faces many issues such as patient data access, drug storage log, medical records, or logs these are only a few of the many problems hospitals and other medical institutions must deal with. Healthcare industry must balance patient care with information privacy, security. The healthcare industry faces major issues like, putting the patient at the center, privacy and access, completeness of medical information, cost, supply chain management, drug records. Medical record keeping has evolved into a science of itself, even though the traditional method of storing data over a centralized database can be harmful as mentioned in the sections above, it can be prone to hacking or even a single point failure. Another issue with storing medical data in these databases is that, when these databases need an update in software all the servers are temporally down until the updates are finished. This small window can lead to be very lethal as healthcare is a 24/7 work. Blockchain technology and cryptocurrencies are being touted as the “solution” to problems in many different, disparate sectors throughout multiple industries. In this paper the goal is to identify blockchain technology applications in healthcare industry by conduction a systematic literature based on which a framework will be proposed. The promise of blockchain extends into the healthcare industry allowing a transformation of the current system and its use of information technology.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":"10 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41293097","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}
Baraa Saab Mallooki Alfahad, Saad Farhan Ibrahim Alabdullah, Mushtaq Ahmad
Iraq oil rich country is in the condition of economic chaos and confronting an intense scarcity for the low-cost housing in the capital as migration from the surrounding cities flooded where country poor economic condition has pushed the housing price hiked in cities. Therefore, this study is conducted with aims to determine critical factors affecting the affordable housing in Iraq. Quantitative study consisting close ended questionnaire of four sections cover all critical factors and randomly distributed questionnaire among the construction industry players to determine the objectives of the study. The questionnaire was translated into Arabic/local language so the every responded understand the questions, total distributed questionnaire is 175 and in response 134 received and data is analysed using SPSS software. Study findings shows that sustainable land management, easy and low interest rate loan arrangement to overcome on the financial constraints are the critical problem followed by unsteady or interpreted supply of construction materials, pricing control significantly help to keep lower the cost of affordable housing. Study also concluded that smaller size houses are no longer the key barriers of acceptance to the Iraqi community. Thus, study strongly recommend government stakeholders to develop framework and properly manage the land for housing purpose. Lastly, steady supply chain management for all the essential construction materials such as steel, technology, cement, electrical and sanitary appliance also control the pricing so low-cost housing dream of the people become true.
{"title":"Investigation of the Critical Factors Influencing Low-Cost Green Sustainable Housing Projects in Iraq","authors":"Baraa Saab Mallooki Alfahad, Saad Farhan Ibrahim Alabdullah, Mushtaq Ahmad","doi":"10.17762/msea.v71i2.90","DOIUrl":"https://doi.org/10.17762/msea.v71i2.90","url":null,"abstract":"Iraq oil rich country is in the condition of economic chaos and confronting an intense scarcity for the low-cost housing in the capital as migration from the surrounding cities flooded where country poor economic condition has pushed the housing price hiked in cities. Therefore, this study is conducted with aims to determine critical factors affecting the affordable housing in Iraq. Quantitative study consisting close ended questionnaire of four sections cover all critical factors and randomly distributed questionnaire among the construction industry players to determine the objectives of the study. The questionnaire was translated into Arabic/local language so the every responded understand the questions, total distributed questionnaire is 175 and in response 134 received and data is analysed using SPSS software. Study findings shows that sustainable land management, easy and low interest rate loan arrangement to overcome on the financial constraints are the critical problem followed by unsteady or interpreted supply of construction materials, pricing control significantly help to keep lower the cost of affordable housing. Study also concluded that smaller size houses are no longer the key barriers of acceptance to the Iraqi community. Thus, study strongly recommend government stakeholders to develop framework and properly manage the land for housing purpose. Lastly, steady supply chain management for all the essential construction materials such as steel, technology, cement, electrical and sanitary appliance also control the pricing so low-cost housing dream of the people become true.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44282607","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 author of this article examined theoretical and practical approaches to final product distribution methodology and presented his perspective on how to handle this problem based on the job set for the cluster structure.
{"title":"Cluster Structure in the Agro-Industrial Complex of Uzbekistan and the Method of Product Distribution","authors":"Ruziev Khamrokul, Bakhodir Turaev","doi":"10.17762/msea.v71i2.89","DOIUrl":"https://doi.org/10.17762/msea.v71i2.89","url":null,"abstract":"The author of this article examined theoretical and practical approaches to final product distribution methodology and presented his perspective on how to handle this problem based on the job set for the cluster structure.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43796252","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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