Pub Date : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357178
A. Sofiadin
This paper aims to propose a new sustainable e-learning framework to define relevant and meaningful indicators for monitoring and assessing the Triple Bottom Line (TBL) to improve sustainability in e-learning in higher education in Malaysia. A comprehensive literature review approach followed by focus groups and expert interviews highlighted the elements of sustainable e-learning, which benefits the people, economy, and environment. The paper proposed a sustainable e-learning framework that represents meaningful guidance to e-learning stakeholders for sustainable e-learning strategy formalization, goal setting, and TBL reporting. The paper provides a systematic framework for measuring the benefits of e-learning initiatives toward the Triple Bottom Line; people, economy, and environment.
{"title":"Measuring Triple Bottom Line benefits in sustainable e-learning: a framework and process","authors":"A. Sofiadin","doi":"10.1109/CiSt49399.2021.9357178","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357178","url":null,"abstract":"This paper aims to propose a new sustainable e-learning framework to define relevant and meaningful indicators for monitoring and assessing the Triple Bottom Line (TBL) to improve sustainability in e-learning in higher education in Malaysia. A comprehensive literature review approach followed by focus groups and expert interviews highlighted the elements of sustainable e-learning, which benefits the people, economy, and environment. The paper proposed a sustainable e-learning framework that represents meaningful guidance to e-learning stakeholders for sustainable e-learning strategy formalization, goal setting, and TBL reporting. The paper provides a systematic framework for measuring the benefits of e-learning initiatives toward the Triple Bottom Line; people, economy, and environment.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115834628","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357189
Sunna Torge, Waldemar Hahn, R. Jäkel, W. Nagel
Transfer Learning approaches are a promising means to analyze low-resource domain specific texts. The German SmartData corpus is the first German corpus, annotated with entities from different domains, and thus allows to investigate transfer learning approaches for Named Entity Recognition (NER) on different domains. In order to prepare such investigations, this work includes a thorough analysis of the SmartData corpus, and a revision w.r.t. annotations and the split into training and test data, considering the distribution of document and entity types. Based on that a baseline model for NER using BiLSTM-CRF neural networks including hyperparameter optimization is presented.
{"title":"Corpus and Baseline Model for Domain-Specific Entity Recognition in German","authors":"Sunna Torge, Waldemar Hahn, R. Jäkel, W. Nagel","doi":"10.1109/CiSt49399.2021.9357189","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357189","url":null,"abstract":"Transfer Learning approaches are a promising means to analyze low-resource domain specific texts. The German SmartData corpus is the first German corpus, annotated with entities from different domains, and thus allows to investigate transfer learning approaches for Named Entity Recognition (NER) on different domains. In order to prepare such investigations, this work includes a thorough analysis of the SmartData corpus, and a revision w.r.t. annotations and the split into training and test data, considering the distribution of document and entity types. Based on that a baseline model for NER using BiLSTM-CRF neural networks including hyperparameter optimization is presented.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114947190","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357299
Jae-Myeong Lee, Sugwon Hong
Recent cyberattacks targeting Supervisory Control and Data Acquisition (SCADA)/Industrial Control System(ICS) exploit weaknesses of host system software environment and take over the control of host processes in the host of the station network. We analyze the attack path of these attacks, which features how the attack hijacks the host in the network and compromises the operations of field device controllers. The paper proposes a host-based protection method, which can prevent malware penetration into the process memory by code injection attacks. The method consists of two protection schemes. One is to prevent file-based code injection such as DLL injection. The other is to prevent fileless code injection. The method traces changes in memory regions and determine whether the newly allocated memory is written with malicious codes. For this method, we show how a machine learning method can be adopted.
{"title":"Host-Oriented Approach to Cyber Security for the SCADA Systems","authors":"Jae-Myeong Lee, Sugwon Hong","doi":"10.1109/CiSt49399.2021.9357299","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357299","url":null,"abstract":"Recent cyberattacks targeting Supervisory Control and Data Acquisition (SCADA)/Industrial Control System(ICS) exploit weaknesses of host system software environment and take over the control of host processes in the host of the station network. We analyze the attack path of these attacks, which features how the attack hijacks the host in the network and compromises the operations of field device controllers. The paper proposes a host-based protection method, which can prevent malware penetration into the process memory by code injection attacks. The method consists of two protection schemes. One is to prevent file-based code injection such as DLL injection. The other is to prevent fileless code injection. The method traces changes in memory regions and determine whether the newly allocated memory is written with malicious codes. For this method, we show how a machine learning method can be adopted.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129823189","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357277
Hendrik Engbers, A. Alla, Markus Kreutz, M. Freitag
Algorithm evaluation metrics are used to measure and compare the performance of diagnostic and prognostic algorithms. However, there is no consensus on which of the various metrics are the most suitable for classifiers' performance evaluation. This paper examines the applicability of common evaluation metrics for predictive maintenance applications in production systems. It is intended to clarify (1) which metrics are well suited for this use case, and (2) whether they are sufficient as a sole decision criterion for algorithm selection. Further, (3) the significance of evaluation metrics concerning the practical impact on the production system's performance is investigated. Moreover, we analyze (4) how increasing the production system's complexity affects the correlation between algorithm evaluation metrics and performance. We conducted 960 simulation runs of a flexible flow shop production system to examine the impact of machine breakdowns and different failure distributions with varying confusion matrices. In addition, two different configurations of the production system, which differ in system complexity, were investigated. Eventually, we determined the product-moment correlation coefficient between common evaluation metrics and the production system's performance. The simulation results reveal that metrics that are sensitive to false negative values (FN), like the False Omission Rate (FOR), are very well suited. Nevertheless, a detailed analysis shows that even (FOR) can only provide reliable statements combined with other metrics. We found that as the system becomes more complex, the informative value of the metrics in terms of their impact on the production system's performance decreases. Finally, we propose parameters that could be relevant for developing new metrics considering the current system configuration.
{"title":"Applicability of Algorithm Evaluation Metrics for Predictive Maintenance in Production Systems","authors":"Hendrik Engbers, A. Alla, Markus Kreutz, M. Freitag","doi":"10.1109/CiSt49399.2021.9357277","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357277","url":null,"abstract":"Algorithm evaluation metrics are used to measure and compare the performance of diagnostic and prognostic algorithms. However, there is no consensus on which of the various metrics are the most suitable for classifiers' performance evaluation. This paper examines the applicability of common evaluation metrics for predictive maintenance applications in production systems. It is intended to clarify (1) which metrics are well suited for this use case, and (2) whether they are sufficient as a sole decision criterion for algorithm selection. Further, (3) the significance of evaluation metrics concerning the practical impact on the production system's performance is investigated. Moreover, we analyze (4) how increasing the production system's complexity affects the correlation between algorithm evaluation metrics and performance. We conducted 960 simulation runs of a flexible flow shop production system to examine the impact of machine breakdowns and different failure distributions with varying confusion matrices. In addition, two different configurations of the production system, which differ in system complexity, were investigated. Eventually, we determined the product-moment correlation coefficient between common evaluation metrics and the production system's performance. The simulation results reveal that metrics that are sensitive to false negative values (FN), like the False Omission Rate (FOR), are very well suited. Nevertheless, a detailed analysis shows that even (FOR) can only provide reliable statements combined with other metrics. We found that as the system becomes more complex, the informative value of the metrics in terms of their impact on the production system's performance decreases. Finally, we propose parameters that could be relevant for developing new metrics considering the current system configuration.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123362072","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357172
Muhammad Tayyab, Sebastian Helm, I. Hauer, Julius Brinken, Niels Schmidtke
Germany plans to invest in the charging station's infrastructure to meet the 50,000 charging points by 2022. For a smooth transition from traditional to electrical vehicles, several electric vehicle charging stations must be planned. Rigorous placement of public charging stations may lead to stability problems in the power network grid. This can be avoided by intelligent Electric vehicle charging stations (EVCS) placement with consideration of traffic and grid planning. The stability problems associated with the electric vehicle charging due to high load may be solved by the expensive grid expansion. Another way to handle the situation is to place EVCS by planning algorithms to avoid the grid expansion for the coming years. In this paper, the authors present a new EVCS placement algorithm based on Monte Carlo simulation considering traffic model and grid modeling. The algorithm determines the optimal EVCS connection nodes taking into account different amounts/configurations of EVCS. Furthermore, the electric vehicles charging power of several EVCS has been scheduled optimally for the resulted configuration to reduce power losses. The input for the algorithm, the daily charge requirement, the amount of EVCS, and the number of electric vehicles has been determined by traffic modeling. The methodology has been implemented and tested in a low voltage network based on real data.
{"title":"Infrastructure linking for placement of Charging stations using Monte Carlo simulation","authors":"Muhammad Tayyab, Sebastian Helm, I. Hauer, Julius Brinken, Niels Schmidtke","doi":"10.1109/CiSt49399.2021.9357172","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357172","url":null,"abstract":"Germany plans to invest in the charging station's infrastructure to meet the 50,000 charging points by 2022. For a smooth transition from traditional to electrical vehicles, several electric vehicle charging stations must be planned. Rigorous placement of public charging stations may lead to stability problems in the power network grid. This can be avoided by intelligent Electric vehicle charging stations (EVCS) placement with consideration of traffic and grid planning. The stability problems associated with the electric vehicle charging due to high load may be solved by the expensive grid expansion. Another way to handle the situation is to place EVCS by planning algorithms to avoid the grid expansion for the coming years. In this paper, the authors present a new EVCS placement algorithm based on Monte Carlo simulation considering traffic model and grid modeling. The algorithm determines the optimal EVCS connection nodes taking into account different amounts/configurations of EVCS. Furthermore, the electric vehicles charging power of several EVCS has been scheduled optimally for the resulted configuration to reduce power losses. The input for the algorithm, the daily charge requirement, the amount of EVCS, and the number of electric vehicles has been determined by traffic modeling. The methodology has been implemented and tested in a low voltage network based on real data.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122230770","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357233
Ludmila Faltýnková, I. Šimonová, K. Kostolányová
The recent corona crisis situation caused a sudden turnover in the delivery of lessons at all levels of education in the Czech Republic. The well-established face-to-face instruction was unexpectedly replaced by the distance format, generally linked to higher education courses, which are well planned, specially designed, and supported by smart technologies. The main objective of this study is to illustrate this situation from secondary and tertiary school teachers' perspectives. It focuses on the tools of distance education that teachers were able to use after the lockdown from their homes providing only limited technical resources. The study was conducted at Secondary and Tertiary School for medical Staff in Olomouc involving 64 teachers of both general and technical (medical) subjects, who were asked to answer questions regarding technologies and tools used within the distance education. Data obtained from this study revealed that most respondents used predominantly email communication and free online sources.
{"title":"Utilization of distance education during COVID_19 crisis","authors":"Ludmila Faltýnková, I. Šimonová, K. Kostolányová","doi":"10.1109/CiSt49399.2021.9357233","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357233","url":null,"abstract":"The recent corona crisis situation caused a sudden turnover in the delivery of lessons at all levels of education in the Czech Republic. The well-established face-to-face instruction was unexpectedly replaced by the distance format, generally linked to higher education courses, which are well planned, specially designed, and supported by smart technologies. The main objective of this study is to illustrate this situation from secondary and tertiary school teachers' perspectives. It focuses on the tools of distance education that teachers were able to use after the lockdown from their homes providing only limited technical resources. The study was conducted at Secondary and Tertiary School for medical Staff in Olomouc involving 64 teachers of both general and technical (medical) subjects, who were asked to answer questions regarding technologies and tools used within the distance education. Data obtained from this study revealed that most respondents used predominantly email communication and free online sources.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121094686","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357182
Abdelhamid Lechhab, Kahlid Ait bentaleb, T. Hassouni, Issam Benqassou, Fouad El-hars, Moulay Mustapha Hafid
The rise of digital culture is accompanied by the institutionalization of the use of information and communication technologies (ICT) in education. In order to assess quantitatively and qualitatively the impact of digital teaching resources on the autonomy of middle and high school students in the physical sciences, we conducted during the 2015–2016 school year a local survey conducted by questionnaires proposed for teachers of physical chemistry disciplines in a few existing the high school in Sidi Slimane (Urban Environment), among a sample of 30 college teachers of physics chemistry, and 100 learners. The questionnaire developed and used as an investigative tool. The results show that about 90% of the teachers surveyed have a personal computer only 67% use the ICT's tools in their teaching practices, the majority of learners use digital resources in the form of social networks and non-academic games outside the classroom (82%), only (13%) whose use digital educational resources outside the classroom.
{"title":"The use of digital teaching resources in the physical sciences and their impact on the secondary school","authors":"Abdelhamid Lechhab, Kahlid Ait bentaleb, T. Hassouni, Issam Benqassou, Fouad El-hars, Moulay Mustapha Hafid","doi":"10.1109/CiSt49399.2021.9357182","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357182","url":null,"abstract":"The rise of digital culture is accompanied by the institutionalization of the use of information and communication technologies (ICT) in education. In order to assess quantitatively and qualitatively the impact of digital teaching resources on the autonomy of middle and high school students in the physical sciences, we conducted during the 2015–2016 school year a local survey conducted by questionnaires proposed for teachers of physical chemistry disciplines in a few existing the high school in Sidi Slimane (Urban Environment), among a sample of 30 college teachers of physics chemistry, and 100 learners. The questionnaire developed and used as an investigative tool. The results show that about 90% of the teachers surveyed have a personal computer only 67% use the ICT's tools in their teaching practices, the majority of learners use digital resources in the form of social networks and non-academic games outside the classroom (82%), only (13%) whose use digital educational resources outside the classroom.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116053171","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357206
I. Bouchkira, A. Latifi, L. Khamar, Saad Benjelloun
This paper deals with multi-objective optimization of the digestion tank of an industrial phosphoric acid manufacturing process. The objective is to determine the optimal set (i.e. Pareto front) of decision variables that maximize the productivity and minimize the chemical losses. The optimization problem is a nonlinear problem involving two conflicting criteria (i.e. phosphate losses and gypsum production) along with equality and inequality constraints. The equality constraints consist of mass and energy balances, electro-neutrality equations, and thermodynamic equilibrium relations, whereas the inequality constraints are mainly given by the excess of sulfuric acid and the upper limit of the operating temperature to improve the performances of the filtration process downstream. The decision variables are defined by the distribution ratios of sulfuric acid over the sections of the tank, and the cooling heat to be removed in order to control the operating temperature within the tank. The Pitzer thermodynamic model was used to predict the two conflicting criteria and the formulated problem is solved by means of epsilon-constraint method. Compared to the real industrial experiments, the resulting optimal values of decision variables show that their implementation would significantly improve the performances of the manufacturing units.
{"title":"Multi-Objective Optimization of the Digestion Tank of an Industrial Phosphoric Acid Manufacturing Process","authors":"I. Bouchkira, A. Latifi, L. Khamar, Saad Benjelloun","doi":"10.1109/CiSt49399.2021.9357206","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357206","url":null,"abstract":"This paper deals with multi-objective optimization of the digestion tank of an industrial phosphoric acid manufacturing process. The objective is to determine the optimal set (i.e. Pareto front) of decision variables that maximize the productivity and minimize the chemical losses. The optimization problem is a nonlinear problem involving two conflicting criteria (i.e. phosphate losses and gypsum production) along with equality and inequality constraints. The equality constraints consist of mass and energy balances, electro-neutrality equations, and thermodynamic equilibrium relations, whereas the inequality constraints are mainly given by the excess of sulfuric acid and the upper limit of the operating temperature to improve the performances of the filtration process downstream. The decision variables are defined by the distribution ratios of sulfuric acid over the sections of the tank, and the cooling heat to be removed in order to control the operating temperature within the tank. The Pitzer thermodynamic model was used to predict the two conflicting criteria and the formulated problem is solved by means of epsilon-constraint method. Compared to the real industrial experiments, the resulting optimal values of decision variables show that their implementation would significantly improve the performances of the manufacturing units.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116148542","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357238
Hyunchul Joo, Intai Kim, Kyungchul Kwak, D. Lee
In this paper, we propose an effective packet loss recovery scheme using a cache server in IPTV (Internet Protocol TeleVision) multicast service. In the proposed scheme, the cache server detects which packets have been lost by using the additional information received from STB (Set-Top Box) device. And then, it retransmits these lost packets to STB device. Test results shows the high recovery success rate of the proposed scheme for packet losses over the commercial IPTV network.
{"title":"An Effective Packet Loss Recovery Scheme Using a Cache Server in IPTV Multicast Service","authors":"Hyunchul Joo, Intai Kim, Kyungchul Kwak, D. Lee","doi":"10.1109/CiSt49399.2021.9357238","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357238","url":null,"abstract":"In this paper, we propose an effective packet loss recovery scheme using a cache server in IPTV (Internet Protocol TeleVision) multicast service. In the proposed scheme, the cache server detects which packets have been lost by using the additional information received from STB (Set-Top Box) device. And then, it retransmits these lost packets to STB device. Test results shows the high recovery success rate of the proposed scheme for packet losses over the commercial IPTV network.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114295383","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 : 2020-06-05DOI: 10.1109/CiSt49399.2021.9357231
Younes Elgargouh, Lamiae Demraoui, R. Chbihi, Hicham Behja, E. Zemmouri
The insurance sector is currently experiencing an increase in competitive pressure due to the multiplication of insurance comparators and the emergence of new competitors with new approaches. GAFA (Google, Apple, Facebook, Amazon), also represent a threat as they will be able to sell ultra-personalized insurance contracts tomorrow, thanks to the analysis of their user's data. At the same time, the insurance sector must adapt to the new behaviors of its customers who have perfectly integrated digital into their daily consumption patterns. This is illustrated by the desire to benefit from a better customer experience through the personalization of offers. It is therefore necessary for insurers to optimize both the quality of their services but also the customer experience and specially the claims side, in fact the client needs the insurance the most when the claim occurs, if he goes through complicated process the probability of changing the insurer gets higher. The claims processing becomes a real growth engine and the digital platforms are one of the best solution to a quick and reliable interaction with customer. This article is a review of existing claims processing digital solutions with a two level comparative study and assessment: functional and technical comparison. These solutions were analyzed to check if they meet business needs and if they are technically updated with new technologies. None of the studied platform manage the end to end claims' process neither performance technological impact.
{"title":"Motor Claims Processing: Digital Solutions Review and Assessment","authors":"Younes Elgargouh, Lamiae Demraoui, R. Chbihi, Hicham Behja, E. Zemmouri","doi":"10.1109/CiSt49399.2021.9357231","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357231","url":null,"abstract":"The insurance sector is currently experiencing an increase in competitive pressure due to the multiplication of insurance comparators and the emergence of new competitors with new approaches. GAFA (Google, Apple, Facebook, Amazon), also represent a threat as they will be able to sell ultra-personalized insurance contracts tomorrow, thanks to the analysis of their user's data. At the same time, the insurance sector must adapt to the new behaviors of its customers who have perfectly integrated digital into their daily consumption patterns. This is illustrated by the desire to benefit from a better customer experience through the personalization of offers. It is therefore necessary for insurers to optimize both the quality of their services but also the customer experience and specially the claims side, in fact the client needs the insurance the most when the claim occurs, if he goes through complicated process the probability of changing the insurer gets higher. The claims processing becomes a real growth engine and the digital platforms are one of the best solution to a quick and reliable interaction with customer. This article is a review of existing claims processing digital solutions with a two level comparative study and assessment: functional and technical comparison. These solutions were analyzed to check if they meet business needs and if they are technically updated with new technologies. None of the studied platform manage the end to end claims' process neither performance technological impact.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122870677","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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