Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765007
Anik Baidya, Giri Gundu Hallur
The upcoming 5G technology launch will have a deep impact on the IT service providers and OSS-BSS industry. The needed changes in OSS/BSS in order to support 5G services are being studied by industry consortia and researchers and new reference architectures and best practices as the IT industry gears up support 5G. Further, emerging trends of widespread adoption of Software Defined Networking/Network Function Virtualisation, Robotic Process Automation, Business intelligence (BI) and artificial intelligence (AI) and machine learning (ML) will serve as key drivers for major changes in the operations support system / business support system (OSS/BSS) architectures. The OSS/BSS domain is expected to adopt key technology innovations such as shared reference model for business process management, standardised information flow across APIs, comprehensive service management, efficient and agile network orchestration for supporting network slicing and building up to the OSS architecture in modules. Thus, the IT industry and OSS/BSS domain in particular is slated to play a key role in roll-out of 5G. The research paper highlights on the leading IT service providers comparative analysis and the decisions that management of Amdocs needs to take to compete with them and to sustain in the existing market competition.
{"title":"Competitive Landscape of IT Industry in the 5G ecosystem: A management decision case study of AMDOCS","authors":"Anik Baidya, Giri Gundu Hallur","doi":"10.1109/DASA54658.2022.9765007","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765007","url":null,"abstract":"The upcoming 5G technology launch will have a deep impact on the IT service providers and OSS-BSS industry. The needed changes in OSS/BSS in order to support 5G services are being studied by industry consortia and researchers and new reference architectures and best practices as the IT industry gears up support 5G. Further, emerging trends of widespread adoption of Software Defined Networking/Network Function Virtualisation, Robotic Process Automation, Business intelligence (BI) and artificial intelligence (AI) and machine learning (ML) will serve as key drivers for major changes in the operations support system / business support system (OSS/BSS) architectures. The OSS/BSS domain is expected to adopt key technology innovations such as shared reference model for business process management, standardised information flow across APIs, comprehensive service management, efficient and agile network orchestration for supporting network slicing and building up to the OSS architecture in modules. Thus, the IT industry and OSS/BSS domain in particular is slated to play a key role in roll-out of 5G. The research paper highlights on the leading IT service providers comparative analysis and the decisions that management of Amdocs needs to take to compete with them and to sustain in the existing market competition.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133317811","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765147
S. Chandel, Saikat Gochhait
A new virus was unearthed in 2019, and a pandemic struck the entire world. Several different companies and institutions collaborated to produce the vaccine. The definitive answer to the coronavirus pandemic has been outlined as implementing a COVID-19 vaccine capable of restricting the virus’s spread. The Indian government recently scheduled and launched a large-scale vaccination campaign to combat the covid 19 vaccine. However, there has been some skepticism among citizens due to various reasons. COVID-19 was declared as a pandemic which was a global health crisis. We are now in the year 2021, but normalcy has yet to return, and many parts of the country remain in lockdown. The only way to stop the virus’s spread was to develop a COVID-19 vaccine, which was recognized as the definitive response to the COVID-19 pandemic. Numerous organizations concentrated on the vaccine’s development. The most effective way to prevent pandemics is to vaccinate the typical population, including the current Coronavirus crisis. Several factors cause cynicism in the minds of the ordinary human being when it comes to COVID-19 vaccines. We’ll look at different perspectives and sentiments about the Covid 19 vaccine amongst Indian citizens.
{"title":"COVID-19 Vaccination Decision-Making Approach and the Sentiments of Indian Citizens","authors":"S. Chandel, Saikat Gochhait","doi":"10.1109/DASA54658.2022.9765147","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765147","url":null,"abstract":"A new virus was unearthed in 2019, and a pandemic struck the entire world. Several different companies and institutions collaborated to produce the vaccine. The definitive answer to the coronavirus pandemic has been outlined as implementing a COVID-19 vaccine capable of restricting the virus’s spread. The Indian government recently scheduled and launched a large-scale vaccination campaign to combat the covid 19 vaccine. However, there has been some skepticism among citizens due to various reasons. COVID-19 was declared as a pandemic which was a global health crisis. We are now in the year 2021, but normalcy has yet to return, and many parts of the country remain in lockdown. The only way to stop the virus’s spread was to develop a COVID-19 vaccine, which was recognized as the definitive response to the COVID-19 pandemic. Numerous organizations concentrated on the vaccine’s development. The most effective way to prevent pandemics is to vaccinate the typical population, including the current Coronavirus crisis. Several factors cause cynicism in the minds of the ordinary human being when it comes to COVID-19 vaccines. We’ll look at different perspectives and sentiments about the Covid 19 vaccine amongst Indian citizens.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"55 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131775298","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765208
Marium Malik, Maira Kamran, Syed Muhammad Raza Naqvi
Facial Expression Recognition (FER) is a field that is being well researched due to its great impact on decision-making application in the domain of medical, security, corporate and other systems. In this paper, a high-level overview of the FER techniques, databases, and analysis of significant research is performed in four-folds. First, the importance of FER applications in the industries is discussed. Second, the performance of the latest frameworks is analyzed. Third, the challenges faced in adaptability are described. Fourth, the gaps in the literature are addressed. The study reveals that FER techniques are useful in the development of AI applications for pattern analysis that work by data pre-processing, feature extraction, feature selection, and expression recognition. The main challenge faced is concerned with description-level data. This study provides a better understanding and updated information for future researchers who wish to explore this domain.
{"title":"An Empirical Study of Facial Expression Recognition Methods","authors":"Marium Malik, Maira Kamran, Syed Muhammad Raza Naqvi","doi":"10.1109/DASA54658.2022.9765208","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765208","url":null,"abstract":"Facial Expression Recognition (FER) is a field that is being well researched due to its great impact on decision-making application in the domain of medical, security, corporate and other systems. In this paper, a high-level overview of the FER techniques, databases, and analysis of significant research is performed in four-folds. First, the importance of FER applications in the industries is discussed. Second, the performance of the latest frameworks is analyzed. Third, the challenges faced in adaptability are described. Fourth, the gaps in the literature are addressed. The study reveals that FER techniques are useful in the development of AI applications for pattern analysis that work by data pre-processing, feature extraction, feature selection, and expression recognition. The main challenge faced is concerned with description-level data. This study provides a better understanding and updated information for future researchers who wish to explore this domain.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134330576","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765036
M. Billal, M. Arani, Mohsen Momenitabar, Hamzeh Davarikia
This study measures a communication network's performance by constructing models for the expected value. A comprehensive stochastic network model whose nodes and arcs are subject to failure is proposed in this study. We can monitor existing network performance and forecast the performance of new or improved networks. For the purpose of this paper, dynamic network flow models with a stochastic network representation of a communication network are used. The approach uses these performance measure models to produce bounds for the expected values of the vector time-series performance data that can be the output of network monitoring.
{"title":"Improving Stochastic and Dynamic Communication Networks by Optimizing Throughput","authors":"M. Billal, M. Arani, Mohsen Momenitabar, Hamzeh Davarikia","doi":"10.1109/DASA54658.2022.9765036","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765036","url":null,"abstract":"This study measures a communication network's performance by constructing models for the expected value. A comprehensive stochastic network model whose nodes and arcs are subject to failure is proposed in this study. We can monitor existing network performance and forecast the performance of new or improved networks. For the purpose of this paper, dynamic network flow models with a stochastic network representation of a communication network are used. The approach uses these performance measure models to produce bounds for the expected values of the vector time-series performance data that can be the output of network monitoring.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133067030","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765025
A. Ishraq, Aklima Akter Lima, Md. Mohsin Kabir, Md. Saifur Rahman, M. F. Mridha
Damage assessment is one reasonable method for adopting good procedures for obtaining speedy and dependable attention during natural calamities such as a hurricane. Lately, calamity researchers have often used satellite imagery to predict the number of damaged properties. It can detect the damaged structures in time by integrating satellite imagery and Convolutional Neural Network (CNN) transfer learning. Consequently, choosing the variables of transfer learning success in this scenario is demanded. To identify damaged structures post-hurricane, we introduce a technique based on VGG16 that utilizes satellite imagery features of the hurricane-affected region. The global average pooling, which is a layer substitutes the fully connected layer to minimize parameters and enhance convergence speed. The experimental outcome indicates which proposed model's overall accuracy for post-hurricane image classification can reach 0.98 per cent. Our proposed method approximates the classical CNN, VGG16, VGG19, AlexNet and surpasses their performance.
{"title":"Assessment of Building Damage on Post-Hurricane Satellite Imagery using improved CNN","authors":"A. Ishraq, Aklima Akter Lima, Md. Mohsin Kabir, Md. Saifur Rahman, M. F. Mridha","doi":"10.1109/DASA54658.2022.9765025","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765025","url":null,"abstract":"Damage assessment is one reasonable method for adopting good procedures for obtaining speedy and dependable attention during natural calamities such as a hurricane. Lately, calamity researchers have often used satellite imagery to predict the number of damaged properties. It can detect the damaged structures in time by integrating satellite imagery and Convolutional Neural Network (CNN) transfer learning. Consequently, choosing the variables of transfer learning success in this scenario is demanded. To identify damaged structures post-hurricane, we introduce a technique based on VGG16 that utilizes satellite imagery features of the hurricane-affected region. The global average pooling, which is a layer substitutes the fully connected layer to minimize parameters and enhance convergence speed. The experimental outcome indicates which proposed model's overall accuracy for post-hurricane image classification can reach 0.98 per cent. Our proposed method approximates the classical CNN, VGG16, VGG19, AlexNet and surpasses their performance.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115656988","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765055
Proychai Klakayan
The purpose of this research is to explore the relationships between managers’ leadership styles and employees’ work satisfaction in the hospitality industry, a case study of AVANI Hotel and Convention Centre, Khon Kaen, Thailand. The study focused specially on the Path-Goal leadership theory from House (1971). This theory divides leadership styles into four types, which are directive, participative, achievement-oriented and supportive. The researcher then related these to the work satisfaction of employees in the AVANI Hotel and Convention Centre using secondary and primary researches. The primary research was conducted in two phases, which are quantitative and qualitative. The results of this findings show that the predominant manager leadership style of AVANI Hotel and Convention Centre was participative and it had a direct positive influence on work satisfaction, such as the work environment. However, the employees of the AVANI Hotel and Convention Centre demonstrated less satisfaction with the pay/salaries, the work itself and the promotion as satisfier factors and more satisfaction with factors such as the work environment and the recognition. Some recommendations the researcher made, based on the finding, are improving the employees’ performance and job rotation.
{"title":"Leadership style and its relationship to work satisfaction of the employees in the hospitality industry: a case study of AVANI Hotel and Convention Centre, Khon Kaen, Thailand","authors":"Proychai Klakayan","doi":"10.1109/DASA54658.2022.9765055","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765055","url":null,"abstract":"The purpose of this research is to explore the relationships between managers’ leadership styles and employees’ work satisfaction in the hospitality industry, a case study of AVANI Hotel and Convention Centre, Khon Kaen, Thailand. The study focused specially on the Path-Goal leadership theory from House (1971). This theory divides leadership styles into four types, which are directive, participative, achievement-oriented and supportive. The researcher then related these to the work satisfaction of employees in the AVANI Hotel and Convention Centre using secondary and primary researches. The primary research was conducted in two phases, which are quantitative and qualitative. The results of this findings show that the predominant manager leadership style of AVANI Hotel and Convention Centre was participative and it had a direct positive influence on work satisfaction, such as the work environment. However, the employees of the AVANI Hotel and Convention Centre demonstrated less satisfaction with the pay/salaries, the work itself and the promotion as satisfier factors and more satisfaction with factors such as the work environment and the recognition. Some recommendations the researcher made, based on the finding, are improving the employees’ performance and job rotation.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115658625","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765248
M. Repetto, D. La Torre
Deep Learning aims to achieve high performances at the expense of explainability. Explainable Artificial Intelligence consists of all the methods addressing this problem. These methods do not provide interpretability right away, and their usage is limited to model debugging. Furthermore, it’s unclear when an explanation qualifies as understandable. This paper aims at creating a double backpropagation technique restricting the model’s feature effects. The approach ensures interpretable Deep Learning models’ explanations during the learning phase. The problem is framed as a Multicriteria one allowing the stakeholders to control the degree of regularization. As a result, the Deep Learning model embodies simple interpretability from the start and is compliant with recent regulations. A series of numerical examples show that our method produces performant yet flexible models that can generalize even when data is scarce.
{"title":"Making It Simple? Training Deep Learning Models Toward Simplicity","authors":"M. Repetto, D. La Torre","doi":"10.1109/DASA54658.2022.9765248","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765248","url":null,"abstract":"Deep Learning aims to achieve high performances at the expense of explainability. Explainable Artificial Intelligence consists of all the methods addressing this problem. These methods do not provide interpretability right away, and their usage is limited to model debugging. Furthermore, it’s unclear when an explanation qualifies as understandable. This paper aims at creating a double backpropagation technique restricting the model’s feature effects. The approach ensures interpretable Deep Learning models’ explanations during the learning phase. The problem is framed as a Multicriteria one allowing the stakeholders to control the degree of regularization. As a result, the Deep Learning model embodies simple interpretability from the start and is compliant with recent regulations. A series of numerical examples show that our method produces performant yet flexible models that can generalize even when data is scarce.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114427500","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765008
Ankit Tomar, Santosh Kumar, Bhasker Pant
Crowd behavior investigation in images/videos is an important task applied in areas such as people counting, density estimation, emotion recognition, motion detection, and flow analysis, etc. The researchers devoted an excellent quality of work to deal with public issues such as crowd control, traffic monitoring, urban planning, vehicle counting in real-time; however, humanity did not get much success in handling these issues due to the limited cost of energy and time. For evaluation metrics, we need a year-wise analysis of used datasets, publications methodologies, and their performance, which is expected to yield good predictions and conclusions. Therefore, in this work, we have systematically and comprehensively revisited five year studies that conducted crowd analysis in video using deep learning techniques to make more effective research development and progress. We have got some new future directions from some of the prestigious survey works, which is a novel aspect of this study, that would provide potential and reliable solutions for investigating crowd behaviour in videos.
{"title":"Crowd Analysis in Video Surveillance: A Review","authors":"Ankit Tomar, Santosh Kumar, Bhasker Pant","doi":"10.1109/DASA54658.2022.9765008","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765008","url":null,"abstract":"Crowd behavior investigation in images/videos is an important task applied in areas such as people counting, density estimation, emotion recognition, motion detection, and flow analysis, etc. The researchers devoted an excellent quality of work to deal with public issues such as crowd control, traffic monitoring, urban planning, vehicle counting in real-time; however, humanity did not get much success in handling these issues due to the limited cost of energy and time. For evaluation metrics, we need a year-wise analysis of used datasets, publications methodologies, and their performance, which is expected to yield good predictions and conclusions. Therefore, in this work, we have systematically and comprehensively revisited five year studies that conducted crowd analysis in video using deep learning techniques to make more effective research development and progress. We have got some new future directions from some of the prestigious survey works, which is a novel aspect of this study, that would provide potential and reliable solutions for investigating crowd behaviour in videos.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116057532","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765124
Ammar AL-Ashmori, P. Dominic, S. Basri, Amgad Muneer, G. Naji
Software process improvement has been through many discussions in the past few decades with relation to the software development alterations. Blockchain-oriented software has been getting more popular, and many recent scholars discussed the suitability of traditional software engineering for the new kind of software. However, the suitability of the current SPI for blockchain-oriented software has not been discussed yet. This paper aims to define the Blockchain-oriented Software characteristics that differentiate it from the traditional software. A literature search was performed considering the studies published up to the date on IEEE Explore, Springer, ACM, ScienceDirect, ProQuest, Web of Science, and emerald insight. A total of 103 studies were found, and only 49 relevant studies met the inclusion criteria. A thematic analysis was performed with an inductive approach to identify 46 distinctive Blockchain-oriented Software characteristics. This result shows the necessity for researchers to devise specific SPI to develop blockchain-oriented software to address its distinctive characteristics, which affect its development and projects. Finally, a new stream for SPI is recommended here to cover Blockchain-oriented Software Process Improvement.
在过去的几十年里，软件过程改进与软件开发变更的关系已经经历了许多讨论。面向区块链的软件越来越受欢迎，最近许多学者讨论了传统软件工程对新型软件的适用性。然而，目前的SPI对面向区块链的软件的适用性尚未得到讨论。本文旨在定义面向区块链的软件特征，使其区别于传统软件。对发表在IEEE Explore、b施普林格、ACM、ScienceDirect、ProQuest、Web of Science和emerald insight上的最新研究进行文献检索。共纳入103项研究，符合纳入标准的相关研究仅有49项。采用归纳方法进行主题分析，以确定46个独特的面向区块链的软件特征。这一结果表明，研究人员有必要设计特定的SPI来开发面向区块链的软件，以解决其影响其开发和项目的独特特征。最后，这里推荐一个新的SPI流来涵盖面向区块链的软件过程改进。
{"title":"Literature Review: Blockchain-Oriented Software Characteristics and New Stream for Software Process Improvement","authors":"Ammar AL-Ashmori, P. Dominic, S. Basri, Amgad Muneer, G. Naji","doi":"10.1109/DASA54658.2022.9765124","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765124","url":null,"abstract":"Software process improvement has been through many discussions in the past few decades with relation to the software development alterations. Blockchain-oriented software has been getting more popular, and many recent scholars discussed the suitability of traditional software engineering for the new kind of software. However, the suitability of the current SPI for blockchain-oriented software has not been discussed yet. This paper aims to define the Blockchain-oriented Software characteristics that differentiate it from the traditional software. A literature search was performed considering the studies published up to the date on IEEE Explore, Springer, ACM, ScienceDirect, ProQuest, Web of Science, and emerald insight. A total of 103 studies were found, and only 49 relevant studies met the inclusion criteria. A thematic analysis was performed with an inductive approach to identify 46 distinctive Blockchain-oriented Software characteristics. This result shows the necessity for researchers to devise specific SPI to develop blockchain-oriented software to address its distinctive characteristics, which affect its development and projects. Finally, a new stream for SPI is recommended here to cover Blockchain-oriented Software Process Improvement.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124928813","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 : 2022-03-23DOI: 10.1109/DASA54658.2022.9765061
K. Gurrala, Maram Helmy, M. Ndiaye
Nations are under constant pressure to reduce the increasing amounts of food packaging waste generated across the world, as the demand and supply patterns for food across the world are expected to tremendously rise with the increasing population levels across the globe. However, the research focus in the domain of food packaging mainly concentrates on the usage of advanced technologies or implementation of atmospheric controls within the packaging, to protect food and prolong the shelf life of the foods to facilitate environmental impact reductions through food waste reductions, with little focus on the development of alternatives such as edible films, that can further facilitate significant reductions within the environmental pollution levels generated from food packaging wastes. Additionally, research concentrating on edible films resulted in the formulation of several biocomposites developed from alternative biopolymers i.e., polysaccharides (glucose derivatives), proteins (animal or vegetable derivatives), etc., exhibiting significant differences corresponding to physical, mechanical, optical, thermal, chemical, and barrier properties, necessitating the application of Multi-Criteria Decision-Making Methods (MCDM) towards the selection of an optimal biocomposite for edible film preparation. Therefore, this study aims at employing a Hybrid MCDM method formulated from CRITIC (Criteria Importance through Inter- Criteria Correlation) and TOPSIS (Technique by Order Preference by Similarity to Ideal Solution) methods, to facilitate the selection of an optimal green biocomposite sample from a set of film samples exhibiting different properties.
{"title":"Edible Packaging Selection Employing Hybrid CRITIC and TOPSIS Method","authors":"K. Gurrala, Maram Helmy, M. Ndiaye","doi":"10.1109/DASA54658.2022.9765061","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765061","url":null,"abstract":"Nations are under constant pressure to reduce the increasing amounts of food packaging waste generated across the world, as the demand and supply patterns for food across the world are expected to tremendously rise with the increasing population levels across the globe. However, the research focus in the domain of food packaging mainly concentrates on the usage of advanced technologies or implementation of atmospheric controls within the packaging, to protect food and prolong the shelf life of the foods to facilitate environmental impact reductions through food waste reductions, with little focus on the development of alternatives such as edible films, that can further facilitate significant reductions within the environmental pollution levels generated from food packaging wastes. Additionally, research concentrating on edible films resulted in the formulation of several biocomposites developed from alternative biopolymers i.e., polysaccharides (glucose derivatives), proteins (animal or vegetable derivatives), etc., exhibiting significant differences corresponding to physical, mechanical, optical, thermal, chemical, and barrier properties, necessitating the application of Multi-Criteria Decision-Making Methods (MCDM) towards the selection of an optimal biocomposite for edible film preparation. Therefore, this study aims at employing a Hybrid MCDM method formulated from CRITIC (Criteria Importance through Inter- Criteria Correlation) and TOPSIS (Technique by Order Preference by Similarity to Ideal Solution) methods, to facilitate the selection of an optimal green biocomposite sample from a set of film samples exhibiting different properties.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123677147","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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