{"title":"Implementation of Generative Model Based Solver for Mathematical Word Problem With Linear Equations","authors":"Gayoung Kim, Seonho Kim, Junseong Bang","doi":"10.1109/PlatCon53246.2021.9680762","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680762","url":null,"abstract":"Solving math word problems automatically with a computer is an interesting topic. Instead of statistical methods and semantic parsing methods, recently, deep learning model based methods are used to solve MWPs. We experimented with different deep learning generative model that directly translates a math word problem into a linear equation. In this paper, four MWP solvers using the Sequence-to-Sequence (Seq2Seq) model with a attention mechanism were implemented, i.e., Seq2Seq, BiLSTM Seq2Seq, convolutional Seq2Seq, and transformer models. Then, performance analysis for the 4 MWP solvers has performed on MaWPS (English) and Math23K (Chinese) MWP datasets. Experiment shows that both the Seq2Seq model and the transformer model showed similar performance in translating into simple linear equations, but the transformer model showed the best performance in translating into more complex linear equations.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125167338","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}
Sang Gu Jeong, Seung-hee Oh, Kyeong Seob Cho, Hyunjoo Kang, Woo-Sug Jung, Y. Lee
{"title":"Integrated Disaster Information Transmission Platform based on Connecting Multi-channel","authors":"Sang Gu Jeong, Seung-hee Oh, Kyeong Seob Cho, Hyunjoo Kang, Woo-Sug Jung, Y. Lee","doi":"10.1109/PlatCon53246.2021.9680758","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680758","url":null,"abstract":"Recently, public interest in disaster warning system has been on the rise as infectious diseases have increased and the patterns of disaster have become more complicated. In this paper, we propose Multi-channel based Disaster Information Transmission Platform (MDITP) that can effectively transmit disaster information by connecting multi-channel. MDITP is a technology that can spread a disaster information to the public within a short time by existing independently operated disaster information systems and linking broadcasting and communication environments. In addition, it is possible to enhance the understanding of disaster information by applying multimedia based content from the perspective of public. In terms of disaster management, the Platform will help reduce damage through rapid response.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"80 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128128757","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}
{"title":"A Comparative Analysis of Tree-Based Models for Day-Ahead Solar Irradiance Forecasting","authors":"Jihoon Moon, Zian Shin, Seungmin Rho, Eenjun Hwang","doi":"10.1109/PlatCon53246.2021.9680748","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680748","url":null,"abstract":"Recently, solar photovoltaic (PV) techniques have been attracting lots of attention for sustainable development, and solar irradiance forecasting is crucial to estimate PV output. However, accurate solar irradiance forecasting is challenging because solar irradiance exhibits complex patterns due to various weather factors. Decision tree (DT)-based methods can effectively train complex internal and external factors so that they have been widely used in energy forecasting. In this paper, we developed several solar irradiation forecasting models using tree-based methods such as DT, bagging, random forest, gradient boosting machine, extreme gradient boosting, and Cubist. We then compared their prediction performance in terms of mean square error, root-mean-square-error (RMSE), and normalized RMSE. Experiment results for two regions on Jeju Island showed that Cubist could derive better prediction performance of day-ahead hourly solar irradiation than other tree-based methods.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132380416","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}
{"title":"[Copyright notice]","authors":"","doi":"10.1109/platcon53246.2021.9680759","DOIUrl":"https://doi.org/10.1109/platcon53246.2021.9680759","url":null,"abstract":"","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121911507","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}
{"title":"[PlatCon 2021 Front cover]","authors":"","doi":"10.1109/platcon53246.2021.9680761","DOIUrl":"https://doi.org/10.1109/platcon53246.2021.9680761","url":null,"abstract":"","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116571559","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}
Elisa Indriasari, Harjanto Prabowo, F. Gaol, B. Purwandari
{"title":"The adoption of Design Thinking, Agile Software Development and Co-creation concepts A case study of Digital Banking innovation","authors":"Elisa Indriasari, Harjanto Prabowo, F. Gaol, B. Purwandari","doi":"10.1109/PlatCon53246.2021.9680763","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680763","url":null,"abstract":"Acceleration of technology, especially the mobile internet, causes changes all aspects of human life, including in the banking sector. New emerging technology such as Artificial Intelligence, Blockchain, Big Data, and Cloud computing change the business and operation of the bank. The bank's services have become more personalized, furthermore change customers' lifestyles. Banks are competing to create innovations and breakthroughs to create added value and building a digital ecosystem with fintech and big tech companies in the era of sharing economy. This case study explores the process of creating digital innovation in banking institutions by focusing on adopting design thinking (DT), agile software development (ASD), and co-creation concepts for building digital banking platforms. The case study involved IT executives from four banks in Indonesia. Data were taken through semi-structured interviews and analyzed using NVIVO12. The implication of this research is to accelerate the process of digital banking innovation and produce high-quality digital banking platforms in terms of features and technology.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825582","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}
{"title":"MitM Tool Analysis for TLS Forensics","authors":"Minjun Kim, Yeonghun Shin, Taeshik Shon","doi":"10.1109/PlatCon53246.2021.9680752","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680752","url":null,"abstract":"Most recent major Internet services use TLS based encrypted communication. For the security of TLS communication, use a digital signature certificate between the client and server to ensure that each other can be trusted. Confidentiality is maintained using symmetric key cryptography, and integrity is verified through message authentication. However, even if encrypted communication through TLS is used, security issues such as MitM may occur. In this paper, we analyzed the MitM attack method and tool. The process of TLS encryption communication and representative MitM attack methods such as SSL Strip and SSL Split were analyzed. Bettercap, MitMproxy and Fiddler were analyzed as MitM attack tools. Protocols with strong security such as the HSTS protocol could also perform MitM attacks using SSL strip attack. In encrypted communication, additional authentication is required as well as a certificate.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125837993","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}
{"title":"Transparent Web of Things Discovery in Constrained Networks based on mDNS/DNS-SD","authors":"Yi-Hsiu Chiu, Chun-Feng Liao, Kung Chen","doi":"10.1109/PlatCon53246.2021.9680755","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680755","url":null,"abstract":"Over the past few years, IoT (Internet of Things) technologies have become pervasive. Many IoT systems and applications have been proposed and deployed. As IoT devices are with restricted computation, storage, and power, these devices are usually connected by LLN (Low-power and Lossy Network), where the devices are only accessible via a gateway. As a result, it is tedious to integrate existing IP-based applications with the IoT devices as existing well-developed management protocols do not fit well to the devices within the LLN. This paper proposes a framework and a set of schemes that facilitate transparent discovery and access from an IP network to the devices in the LLN. With the proposed schemes, a client is able to discover IoT devices in a 6LoWPAN-based LLN using mDNS/DNS-SD service discovery protocol. The proposed design has been realized as add-on modules of an LLN gateway. Validations and experiments are also performed to verify the effectiveness of the proposed schemes.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121410699","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}
{"title":"Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations","authors":"J. Bang, S. Kim, Jang Won Nam, Dong-Geun Yang","doi":"10.1109/PlatCon53246.2021.9680760","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680760","url":null,"abstract":"AI technology is being introduced into various public and private service domains, transforming existing computing systems or creating new ones. While AI technologies can provide benefits to humans and society, the unexpected consequences (e.g., malfunctions) of AI systems can cause social losses. For this reason, research on ethical design for the development of AI-based systems is becoming important. In this paper, from existing studies on AI ethics, general guidelines such as transparency, explainability, predictability, accountability, fairness, privacy, and control for the ethical design of AI systems are reviewed. And, based on the ethical design guidelines, we discuss ethical design to reduce the negative effects of biased data and unethical dialogues in AI-based conversational chatbots.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133252284","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}
Soonhyun Kwon, Jaehak Yu, Sejin Park, Jong-Arm Jun, C. Pyo
{"title":"Automatic Stroke Medical Ontology Augmentation with Standard Medical Terminology and Unstructured Textual Medical Knowledge","authors":"Soonhyun Kwon, Jaehak Yu, Sejin Park, Jong-Arm Jun, C. Pyo","doi":"10.1109/PlatCon53246.2021.9680753","DOIUrl":"https://doi.org/10.1109/PlatCon53246.2021.9680753","url":null,"abstract":"The need for medical ontology to provide stroke medical knowledge is increasing as much research has recently been conducted to predict stroke diseases using AI technology quickly. Medical ontology serves as a medical explanation of predictions in conjunction with methods of analysis using machine learning and deep learning to analyze clinical data obtained from the medical field, medical imaging devices (MRI, CT, ultrasound, etc.). However, the existing medical ontology focused on is-a relationships in taxonomy to define the classification system for diseases, symptoms, and anatomical structures. This medical ontology is insufficient to explain complex organic relationships to disease-symptom-body-patients, a knowledge structure for predicting disease. Furthermore, although professional standard terms exist in medicine, electronic medical records (EMR), electronic health records (EHR) medical professional books, and medical papers that use common terms to express professional are mostly unstructured forms. To overcome this limitation, in this paper, we propose a stroke medical ontology automatic augmentation method via unstructured text medical knowledge using the lowest instance-level medical term ontology and top-level schema-level medical ontology for stroke disease prediction through standard medical terms. The proposed method extracts and stores data in resource description framework (RDF) form with unstructured textual medical knowledge (medical papers, medical professional books), health data, and syntactic morphology analysis of clinical data, with instance-level ontologies capable of linking top-level schema to standard medical terminology ontologies such as the international classification diseases (ICD), systematized nomenclature of medicine - clinical terms (SNOMED-CT), and foundational model of anatomy (FMA). We also use a medical data-knowledge mapping DB that stores the frequency of extracted data torches for the abstraction of extracted RDF data.","PeriodicalId":344742,"journal":{"name":"2021 International Conference on Platform Technology and Service (PlatCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115718569","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}