2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)最新文献_第7页

Integrating knowledge and experience towards a public administration needs ecosystem 将知识和经验整合到公共行政中需要一个生态系统

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904352

Ariadni Michalitsi-Psarrou, K. Alexakis, Marika Androutsopoulou, Panagiotis Kokkinakos, D. Askounis

{"title":"Integrating knowledge and experience towards a public administration needs ecosystem","authors":"Ariadni Michalitsi-Psarrou, K. Alexakis, Marika Androutsopoulou, Panagiotis Kokkinakos, D. Askounis","doi":"10.1109/IISA56318.2022.9904352","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904352","url":null,"abstract":"Public administrations are an integral part of every state, which is currently changing to gradually correct the weak points of the past. Data and digital technologies are there to support this endeavor, yet the opportunities they offer are not still fully exploited in Europe, despite governments’ intentions to digitize public administration for smoother and more accessible administrative procedures. In parallel, digital transformation, intensified by the exceptional circumstances of the COVID-19 crisis, is both imperative and inevitable for almost every aspect of the modern world and economy. This creates both new needs and solutions for public administrations. This paper aims to identify the open needs encountered by public administrations, involving reflections on available methodologies, data, and tools towards evidence-based policy making tailored to these needs. To accomplish that, knowledge, as represented by extensive desk research, was integrated with experience as the outcome of qualitative interviews with public administration experts from different countries. Key findings are discussed in detail concluding with a public administration needs ecosystem, mapping the needs, and uncovering similarities to support the replication of practices and procedures in different policy making settings.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354045","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}

引用次数: 0

An Online Database Tool for Glycoproteomics of Lung Cancer Cell Lines for Biomarker Discovery and Anti-Cancer Screening of Natural Products 肺癌细胞系糖蛋白组学在线数据库工具，用于生物标志物的发现和天然产物的抗癌筛选

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904333

Angelica V. Ayos, Geoffrey A. Solano, Gilbert Luis F. Gapac, J. Reyes, J. Rabajante, Isagani D. Padolina, G. Completo, Ruel C. Nacario

{"title":"An Online Database Tool for Glycoproteomics of Lung Cancer Cell Lines for Biomarker Discovery and Anti-Cancer Screening of Natural Products","authors":"Angelica V. Ayos, Geoffrey A. Solano, Gilbert Luis F. Gapac, J. Reyes, J. Rabajante, Isagani D. Padolina, G. Completo, Ruel C. Nacario","doi":"10.1109/IISA56318.2022.9904333","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904333","url":null,"abstract":"Lung cancer is the most common among cancer-related deaths. In the Philippines, it is the top cause of cancer-related deaths among men and it is the third cause of cancer deaths among women. Plants have been used for cancer treatment throughout history. It is also known to be a major source of new drugs. Some of these promising natural products are still in various stages of clinical development. This study is part of the Philippine-California Advanced Research Institutes Institute for Health Improvement and Translation Medicine (PCARI-IHITM) 2017-2018 project, Glycoproteomics of Filipino Lung Cancer Cell Lines for Biomarker Discovery and Anti-Cancer Screening of Natural Products. Its goal is to identify biomarkers for different stages of lung cancers with the use of glycomic expression profiling, and to identify Philippine plant extracts that have potential preventive and therapeutic effects against lung cancer. It also aims to characterize, at molecule level, tumor tissues and blood samples from Filipino patients. The system developed in this study facilitates electronic record keeping system to allow secure and efficient storage, retrieval, visualization, and analysis of large data. This tool is expected to aid in biomarker discovery and anti-cancer screening of natural products for lung cancer drug development.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247658","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}

引用次数: 0

Forecasting day-ahead electric load demand on Greek Energy Market 预测希腊能源市场的电力负荷需求

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904346

Maria Tzelepi, A. Tefas

引用次数: 5

Exploiting time-series analysis to predict customers’ behavioural dynamics in social networks 利用时间序列分析来预测客户在社交网络中的行为动态

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904411

G. Rompolas

{"title":"Exploiting time-series analysis to predict customers’ behavioural dynamics in social networks","authors":"G. Rompolas","doi":"10.1109/IISA56318.2022.9904411","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904411","url":null,"abstract":"In the recent years, companies have focused on ways to take advantage of the rich and endless data that flow from the social media. The effective exploitation of such data has a crucial role in businesses’ growth and development. Businesses in order to survive in a highly competitive market need to analyze and understand customers’ needs and behaviours. This research work addresses the problem of predicting the behavioural dynamics of the customers regarding a brand name, using time-series analytics in social media. While in the existing literature many researchers have focused on studying the individual analytics, in this work we propose a more coarse-grained approach that analyses the overall behavioural dynamics in social networks. In particular, a data mining model is being presented, which exploits users’ linguistic and emotional characteristics in social networks, in order to predict the future collective behavioural trends. The purpose of this work is to provide an efficient and automated tool, that will enable businesses to predict the relationships with their customers. Thus, businesses will be able to strengthen and reestablish their bonds with their customers, through appropriate social media marketing campaigns in a timely manner.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"30 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117051242","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}

引用次数: 1

ENERGY TRANSITIONS, INTELLIGENCE AND BIG DATA: Towards a prosumer concept with energy autonomy 能源转型、智能和大数据:走向能源自主的产消概念

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904415

H. Doukas

{"title":"ENERGY TRANSITIONS, INTELLIGENCE AND BIG DATA: Towards a prosumer concept with energy autonomy","authors":"H. Doukas","doi":"10.1109/IISA56318.2022.9904415","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904415","url":null,"abstract":"Energy transition refers to the transition of the global energy sector towards renewable energy sources and energy efficiency, replacing fossil-based energy production and consumption systems (oil, gas and coal). The four main pillars towards this energy transition, also known as 4 Ds, will be presented as follows: Decarbonization, Decentralization, Digitization and Democratization. These dimensions are combined to change the nature of the way energy is produced, purchased and sold. In this context, consumer-centric big data application services and applications are being developed and will be discussed, based on the large amount of information available and the combination of the evolution of artificial intelligence and “big” data management technologies. Emphasis will be given to the optimal processing and use of data with the help of innovative techniques towards intelligent energy services. Such services can enable consumers to adopt energy-efficient practices, their transition to prosumers and the promotion of energy autonomy concepts, through the creation of resilient and energy-efficient communities, bringing multiple benefits to households and industry.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"56 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127195502","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}

引用次数: 0

Common Public Service Vocabulary for Semantic Interoperability in Greek Voucher Services 希腊凭证服务中语义互操作性的公共服务词汇

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904414

E. Papadopoulou, E. Sakkopoulos

{"title":"Common Public Service Vocabulary for Semantic Interoperability in Greek Voucher Services","authors":"E. Papadopoulou, E. Sakkopoulos","doi":"10.1109/IISA56318.2022.9904414","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904414","url":null,"abstract":"The public voucher system is a program where the government issues vouchers to individuals who are deemed fit to consume a particular service and is a “means of payment” for goods or services to individual “consumers” authorized to use it at any approved institution for that particular purpose for which it was issued. The current trend in e-government requires integrated services, efficient, easy to use and designed based on the needs of the citizen. Citizens do not need to know or interact directly with the government agencies involved, which must be interoperable and allow data and information to be exchanged and processed seamlessly across government. The purpose of this study is the modeling using the European model CPSV-AP, a public voucher service where the stages of the whole process and the roles of the participants will be clearly reflected. The proposed model describes an Integrated Public Service, where government, citizens and businesses are coordinated in order to provide citizens with personalized offers using vouchers. The proposed model is a semantic representation of public services through a voucher, aiming at a better understanding of the process by those involved in its design and implementation.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127917370","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}

引用次数: 0

Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic 基于机器学习和模糊逻辑的冠状动脉疾病预测的物联网应用

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904388

Ioannis D. Apostolopoulos, Besiana A. Tzani

{"title":"Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic","authors":"Ioannis D. Apostolopoulos, Besiana A. Tzani","doi":"10.1109/IISA56318.2022.9904388","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904388","url":null,"abstract":"Internet of Things (IoT) is a field of growing interest and reputation. It is a result of the advances of computer science and electronics, which enable the researchers and industries to design and create devices that connect with each other. In this work, we propose a novel application design for the prognosis of Coronary Artery Disease (CAD), which can exploit the capabilities of IoT devices for interacting with the user to gather data. We focus our work on the decision framework of the pipeline, which is implemented by Artificial Neural Networks, Decision Trees, and Fuzzy Cognitive Maps. The inner architecture of the model is powered by the real-time patient data. Its accuracy may be improved by taking advantage of heart rate signals, measured from wearable devices. The user is informed of the risk in several ways and is the one to monitor the functionality of the application through a graphical user interface (GUI). The simulation results demonstrate the effective functionality of the decision-making framework, since it manages to aggregate conflicting predictions and improve the accuracy. The proposed framework could be utilized for evaluation tests with the appropriate supplement of data.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"5 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131574744","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}

引用次数: 0

Distributed Consensus based COVID-19 Hotspot Density Estimation 基于分布式共识的COVID-19热点密度估计

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904371

Monalisa Achalla, Gowtham Muniraju, M. Banavar, C. Tepedelenlioğlu, A. Spanias, S. Schuckers

{"title":"Distributed Consensus based COVID-19 Hotspot Density Estimation","authors":"Monalisa Achalla, Gowtham Muniraju, M. Banavar, C. Tepedelenlioğlu, A. Spanias, S. Schuckers","doi":"10.1109/IISA56318.2022.9904371","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904371","url":null,"abstract":"The primary focus of this work is an application of consensus and distributed algorithms to detect COVID-19 transmission hotspots and to assess the risks for infection. More specifically, we design consensus-based distributed strategies to estimate the size and density of COVID-19 hotspots. We assume every person has a mobile device and rely on data collected from the user devices, such as Bluetooth and WiFi, to detect transmission hotspots. To estimate the number of people in a specific outdoor geographic location and their proximity to each other, we first perform consensus-based distributed clustering to group people into sub-clusters and then estimate the number of users in a cluster. Our algorithm has been configured to work for indoor settings where we consider the signal attenuation due to walls and other obstructions, which are detected by using the Canny edge detection and Hough transforms on the floor maps of the indoor space. Our results on indoor and outdoor hotspot simulations consistently show an accurate estimate of the number of persons in a region.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131206774","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}

引用次数: 1

Radiation Sensor Placement using Reinforcement Learning in Nuclear Security Applications 在核安全应用中使用强化学习的辐射传感器安置

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904349

Siyao Gu, M. Alamaniotis

引用次数: 1

Optimising Maritime Processes Via Artificial Intelligence: The VesselAI Concept And Use Cases 通过人工智能优化海事流程:VesselAI概念和用例

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904345

S. Mouzakitis, C. Kontzinos, Panagiotis Kapsalis, Ioanna Kanellou, Georgios Kormpakis, Giannis Tsapelas, D. Askounis

{"title":"Optimising Maritime Processes Via Artificial Intelligence: The VesselAI Concept And Use Cases","authors":"S. Mouzakitis, C. Kontzinos, Panagiotis Kapsalis, Ioanna Kanellou, Georgios Kormpakis, Giannis Tsapelas, D. Askounis","doi":"10.1109/IISA56318.2022.9904345","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904345","url":null,"abstract":"The beginning of this decade finds artificial intelligence, high performance computing (HPC), and big data analytics in the forefront of digital transformation that is projected to heavily impact various industries and domains. Specifically, the maritime industry, which is already a relatively advanced area concerned to others could stand to gain great benefits from the combination and application of innovative technologies in its practices. This fact, combined with the amount of data generated from naval vessels and sensors points to the direction of AI and big data, two technologies that have the ability to absorb large amounts of data, process them and provide automated and optimised solutions for all maritime stakeholders. Integrating these technologies and tools in a unified system poses various challenges. Under this context, the current publication presents the concept and pilot use cases of VesselAI, an EU-funded project that aims to develop, validate and demonstrate a novel holistic framework based on a combination of the state-of-the-art HPC, Big Data and AI technologies, capable of performing extreme-scale and distributed analytics for fuelling the next-generation digital twins in maritime applications and beyond, including vessel motion and behaviour modelling, analysis and prediction, ship energy system design and optimisation, unmanned vessels, route optimisation and fleet intelligence. The present publication compliments the presentation of the VesselAI project with comprehensive bibliographic research of similar approaches and initiatives that validate the VesselAI concept and prove that there is an unprecedented interest from the research community in applying AI solutions in the maritime industry.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376151","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}

引用次数: 2