Crime is one of the major problems of countries all over the world, and the Philippines is no exception. Crime prediction and prevention strategies are vital for police forces to face inevitable increases in the crime rate as a side effect of the growth of the urban population. This paper focuses on the prediction of crime rates. It also focuses on the development and testing of the effectiveness of the optimization model in reducing the crime rate score reduction considering the number of mobility using Simplex Linear Programming and regression analysis. Various time-series forecasting models were applied in the crime dataset using the SAS tool. Datasets were extracted from fourteen (14) municipal police stations of Rizal Province, which contains historical data of crime statistics from 2013 to 2017 and mobility resources for each Police station.. MAPE was used to determine the accuracy of each model. The prediction results can be useful for the police stations to identify problematic regions to patrol and the predicted values for mobility derived from the optimization model can be a valuable information in decision making specifically in the disposition of mobility for a given locality to suppress crime so that law and order can be maintained properly and there is a sense of safety and well-being among the citizens in the province.
{"title":"Prediction, Visualization, and Optimization of Resources Using Time-Series Forecasting Models and Simplex Linear Programming","authors":"Eugenia R. Zhuo, Jake Libed","doi":"10.1145/3379310.3379315","DOIUrl":"https://doi.org/10.1145/3379310.3379315","url":null,"abstract":"Crime is one of the major problems of countries all over the world, and the Philippines is no exception. Crime prediction and prevention strategies are vital for police forces to face inevitable increases in the crime rate as a side effect of the growth of the urban population. This paper focuses on the prediction of crime rates. It also focuses on the development and testing of the effectiveness of the optimization model in reducing the crime rate score reduction considering the number of mobility using Simplex Linear Programming and regression analysis. Various time-series forecasting models were applied in the crime dataset using the SAS tool. Datasets were extracted from fourteen (14) municipal police stations of Rizal Province, which contains historical data of crime statistics from 2013 to 2017 and mobility resources for each Police station.. MAPE was used to determine the accuracy of each model. The prediction results can be useful for the police stations to identify problematic regions to patrol and the predicted values for mobility derived from the optimization model can be a valuable information in decision making specifically in the disposition of mobility for a given locality to suppress crime so that law and order can be maintained properly and there is a sense of safety and well-being among the citizens in the province.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799827","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}
Indonesia's forest fire disaster is still much happening and has become a national problem; if it is not handled thoughtfully, it can be a threat to worry about, and can disrupt the Indonesian economy. According to BMKG, Pekanbaru meteorological station declared a forest fire had struck 11 regencies in Riau Province on July 2019. Indications of the fire were detected from the existence of 38 hot spots in the area. Previous research has been conducted to develop the SI/TI framework for the mitigation of forest fire disaster using TOGAF, which result is a reference in business development to technology design for disaster management. This paper proposes a recommendation for business process development and the design of disaster management technology. BPTrends Redesign method outlines activity and improvement in business process consisting of activity, role, result, technique, and meta-model in the development of disaster management prevention information system, thus obtained a more comprehensive recommendation in its application development. The results of the discussion obtained technology architecture from the Organization Database to Emergency Management information System and overview of the business model in the form of Disaster integration and Safety Information system which explains about internal and external access.
{"title":"BPTrends Redesign Methodology (BPRM) for the Development Disaster Management Prevention Information System","authors":"Anita Ratnasari, D. Fitrianah, W. H. Haji","doi":"10.1145/3379310.3381042","DOIUrl":"https://doi.org/10.1145/3379310.3381042","url":null,"abstract":"Indonesia's forest fire disaster is still much happening and has become a national problem; if it is not handled thoughtfully, it can be a threat to worry about, and can disrupt the Indonesian economy. According to BMKG, Pekanbaru meteorological station declared a forest fire had struck 11 regencies in Riau Province on July 2019. Indications of the fire were detected from the existence of 38 hot spots in the area. Previous research has been conducted to develop the SI/TI framework for the mitigation of forest fire disaster using TOGAF, which result is a reference in business development to technology design for disaster management. This paper proposes a recommendation for business process development and the design of disaster management technology. BPTrends Redesign method outlines activity and improvement in business process consisting of activity, role, result, technique, and meta-model in the development of disaster management prevention information system, thus obtained a more comprehensive recommendation in its application development. The results of the discussion obtained technology architecture from the Organization Database to Emergency Management information System and overview of the business model in the form of Disaster integration and Safety Information system which explains about internal and external access.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116768832","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}
Luthfi Azizi Gumay, B. Purwandari, T. Raharjo, Alfi Wahyudi, Mardiana Purwaningsih
A survey in a software development project revealed that 71% of the project failed or ended in challenges. A similar issue also occurred in a telecommunications company in Indonesia. The company performed its strategy in terms of initiating the growth of its new broadband business. Only 44% of projects ran on time, as planned. The rest failed to meet the target. Hence, this study was conducted to investigate the critical success factors and criteria for the broadband ordering project ran by the company. The qualitative method was performed to gather critical success factors and criteria. Besides, the quantitative method was conducted to calculate the rank of factors using the Analytic Hierarchy Process (AHP). Based on the pairwise comparison conducted by administering questionnaires to key stakeholders, the most important factors are customer involvement and effective communication, followed by the capability and motivation of the team. The lowest level is top-level management support and organizational culture. The critical success factors are compiled based on success-related criteria, which are scope, time, cost, quality, and user satisfaction.
{"title":"Identifying Critical Success Factors for Information Technology Projects with an Analytic Hierarchy Process: A Case of a Telco Company in Indonesia","authors":"Luthfi Azizi Gumay, B. Purwandari, T. Raharjo, Alfi Wahyudi, Mardiana Purwaningsih","doi":"10.1145/3379310.3379326","DOIUrl":"https://doi.org/10.1145/3379310.3379326","url":null,"abstract":"A survey in a software development project revealed that 71% of the project failed or ended in challenges. A similar issue also occurred in a telecommunications company in Indonesia. The company performed its strategy in terms of initiating the growth of its new broadband business. Only 44% of projects ran on time, as planned. The rest failed to meet the target. Hence, this study was conducted to investigate the critical success factors and criteria for the broadband ordering project ran by the company. The qualitative method was performed to gather critical success factors and criteria. Besides, the quantitative method was conducted to calculate the rank of factors using the Analytic Hierarchy Process (AHP). Based on the pairwise comparison conducted by administering questionnaires to key stakeholders, the most important factors are customer involvement and effective communication, followed by the capability and motivation of the team. The lowest level is top-level management support and organizational culture. The critical success factors are compiled based on success-related criteria, which are scope, time, cost, quality, and user satisfaction.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The combination of multi-parameter stress field equations and photoelastic images, a nonlinear least-squares method was deduced and applied to determine the parameters in the stress field equations of crack tip by fitting the isochromatic phase field obtained by the ten-step phase-shifting in digital photoelasticity. Not only the parameters in the stress field equations but also the coordinates of crack tip were determined simultaneously and automatically by using the proposed method. A set of over-determined nonlinear equations were established to estimate the unknown parameters by an iterative procedure based on Newton-Raphson method. Simulation and experimental results validated the correctness of the proposed method.
{"title":"Newton-Raphson Algorithm for Determination of SIFs and Crack-tip from Photoelastic Images","authors":"Z. Lei, Jianchao Zou, R. Bai","doi":"10.1145/3379310.3379311","DOIUrl":"https://doi.org/10.1145/3379310.3379311","url":null,"abstract":"The combination of multi-parameter stress field equations and photoelastic images, a nonlinear least-squares method was deduced and applied to determine the parameters in the stress field equations of crack tip by fitting the isochromatic phase field obtained by the ten-step phase-shifting in digital photoelasticity. Not only the parameters in the stress field equations but also the coordinates of crack tip were determined simultaneously and automatically by using the proposed method. A set of over-determined nonlinear equations were established to estimate the unknown parameters by an iterative procedure based on Newton-Raphson method. Simulation and experimental results validated the correctness of the proposed method.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123847223","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}
Academic research in computer & information science (CIS) has contributed immensely to all aspects of society. As academic research today is substantially supported by various government sources, recent political changes have created ambivalence amongst academics about the future of research funding. With uncertainty looming, it is important to develop a framework to extract and measure the information relating to impact of CIS research on society to justify public funding, and demonstrate the actual contribution and impact of CIS research outside academia. A new method combining discourse analysis and text mining of a collection of over 1000 pages of impact case study documents written in free-text format for the Research Excellence Framework (REF) 2014 was developed in order to identify the most commonly used categories or headings for reporting impact of CIS research by UK Universities (UKU). According to the research reported in REF2014, UKU acquired 83 patents in various areas of CIS, created 64 spin-offs, generated £857.5 million in different financial forms, created substantial employment, reached over 6 billion users worldwide and has helped save over £1 billion Pounds due to improved processes etc. to various sectors internationally, between 2008 and 2013.
{"title":"Measuring Impact of Academic Research in Computer and Information Science on Society","authors":"Kushwanth Koya, G. Chowdhury","doi":"10.1145/3379310.3379312","DOIUrl":"https://doi.org/10.1145/3379310.3379312","url":null,"abstract":"Academic research in computer & information science (CIS) has contributed immensely to all aspects of society. As academic research today is substantially supported by various government sources, recent political changes have created ambivalence amongst academics about the future of research funding. With uncertainty looming, it is important to develop a framework to extract and measure the information relating to impact of CIS research on society to justify public funding, and demonstrate the actual contribution and impact of CIS research outside academia. A new method combining discourse analysis and text mining of a collection of over 1000 pages of impact case study documents written in free-text format for the Research Excellence Framework (REF) 2014 was developed in order to identify the most commonly used categories or headings for reporting impact of CIS research by UK Universities (UKU). According to the research reported in REF2014, UKU acquired 83 patents in various areas of CIS, created 64 spin-offs, generated £857.5 million in different financial forms, created substantial employment, reached over 6 billion users worldwide and has helped save over £1 billion Pounds due to improved processes etc. to various sectors internationally, between 2008 and 2013.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130112442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposed an extended version of PrefixSpan as a better sequential pattern mining for a game-based learning environment (GBLE). The extended version of PrefixSpan evolved on integrating time interval constraints, clustering valued actions and extracting the closed sequences. These three concepts were derived after a previous work showed limitations of PrefixSpan in generating sequence patterns that can be used in tutoring services of a GBLE. The extended PrefixSpan underwent two phases of evaluation, performance evaluation and analyzing the quality of generated sequence patterns. The evaluation results showed that the extended versions provided a significant improvement in terms of execution time and the number of generated sequence patterns. Lastly, it shows significant improvement in the quality of sequence patterns generated as shown in better tutoring service it provided after integrating it to the GBLE.
{"title":"Extended PrefixSpan for Efficient Sequential Pattern Mining in a Game-based Learning Environment","authors":"R. S. Bermudez, Ariel M. Sison, Ruji P. Medina","doi":"10.1145/3379310.3381044","DOIUrl":"https://doi.org/10.1145/3379310.3381044","url":null,"abstract":"This paper proposed an extended version of PrefixSpan as a better sequential pattern mining for a game-based learning environment (GBLE). The extended version of PrefixSpan evolved on integrating time interval constraints, clustering valued actions and extracting the closed sequences. These three concepts were derived after a previous work showed limitations of PrefixSpan in generating sequence patterns that can be used in tutoring services of a GBLE. The extended PrefixSpan underwent two phases of evaluation, performance evaluation and analyzing the quality of generated sequence patterns. The evaluation results showed that the extended versions provided a significant improvement in terms of execution time and the number of generated sequence patterns. Lastly, it shows significant improvement in the quality of sequence patterns generated as shown in better tutoring service it provided after integrating it to the GBLE.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128030897","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}
A. Suzianti, A. Wulandari, Almer Hafiz Yusuf, Anggar Belahakki, Febe Monika
Effective disaster management lead to useful and reliable mitigation program. Mitigation program is an action to reduce the risk to life, property, social and economic activities, etc. from natural disasters. One of the most often disasters that occurred in Indonesia is a tsunami. Tsunami also had a lot of victims, including life victims, house, property, etc. This article focuses on using design thinking method as an approach to developing a mobile application for tsunami disaster management in Indonesia. The first step of the design thinking is empathizing with the user, which we have done by with the victims of the tsunami by interviewing one of the survivors. The second step is defining the user's needs. In the third step, ideation, we are doing brainstorming by using an affinity diagram. After that, we are developing the prototype by developing the beta version of the application to visualize the interfaces. Lastly, in the testing step in validating our mobile application prototype, we visited one of the schools in Banten which had experienced a tsunami disaster. In the end, we are discussing the results including from the pre-test and post-test results from students who had tried our application.
{"title":"Design Thinking Approach for Mobile Application Design of Disaster Mitigation Management","authors":"A. Suzianti, A. Wulandari, Almer Hafiz Yusuf, Anggar Belahakki, Febe Monika","doi":"10.1145/3379310.3379324","DOIUrl":"https://doi.org/10.1145/3379310.3379324","url":null,"abstract":"Effective disaster management lead to useful and reliable mitigation program. Mitigation program is an action to reduce the risk to life, property, social and economic activities, etc. from natural disasters. One of the most often disasters that occurred in Indonesia is a tsunami. Tsunami also had a lot of victims, including life victims, house, property, etc. This article focuses on using design thinking method as an approach to developing a mobile application for tsunami disaster management in Indonesia. The first step of the design thinking is empathizing with the user, which we have done by with the victims of the tsunami by interviewing one of the survivors. The second step is defining the user's needs. In the third step, ideation, we are doing brainstorming by using an affinity diagram. After that, we are developing the prototype by developing the beta version of the application to visualize the interfaces. Lastly, in the testing step in validating our mobile application prototype, we visited one of the schools in Banten which had experienced a tsunami disaster. In the end, we are discussing the results including from the pre-test and post-test results from students who had tried our application.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"83 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132834263","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}
Deep learning methods have achieved a large step forward in many computer vision applications. With mechanisms such as attention, deep models can now guide themselves to focus on parts of an image that are more significant for a given task. In computational color constancy, the most important step is to estimate the illumination vector as accurately as possible. Since illumination estimation algorithms can be sensitive to noise, such as ambiguous regions in the image, the ability to have a mechanism to look for specific regions in an image could be helpful. In this paper, a convolutional neural network with an attention mechanism is proposed. The attention mechanism helps the network to focus on regions that contain more content and to avoid regions where ambiguous estimations may occur. In the experimental results, it is shown that the attention mechanism does help the network to obtain more accurate estimations and puts the focus of the network on the regions in an image where gradients are high. The network with the attention mechanism achieves up to 10% increase in accuracy compared to the same network architecture without the attention mechanism.
{"title":"Guiding the Illumination Estimation Using the Attention Mechanism","authors":"Karlo Koščević, M. Subašić, S. Lončarić","doi":"10.1145/3379310.3379329","DOIUrl":"https://doi.org/10.1145/3379310.3379329","url":null,"abstract":"Deep learning methods have achieved a large step forward in many computer vision applications. With mechanisms such as attention, deep models can now guide themselves to focus on parts of an image that are more significant for a given task. In computational color constancy, the most important step is to estimate the illumination vector as accurately as possible. Since illumination estimation algorithms can be sensitive to noise, such as ambiguous regions in the image, the ability to have a mechanism to look for specific regions in an image could be helpful. In this paper, a convolutional neural network with an attention mechanism is proposed. The attention mechanism helps the network to focus on regions that contain more content and to avoid regions where ambiguous estimations may occur. In the experimental results, it is shown that the attention mechanism does help the network to obtain more accurate estimations and puts the focus of the network on the regions in an image where gradients are high. The network with the attention mechanism achieves up to 10% increase in accuracy compared to the same network architecture without the attention mechanism.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116133057","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}
John Cruz, Bryan Christian M. Galon, Jae Yeon J. Han, Leania Mahimer A. Mahimer, Eugenia R. Zhuo
As a developing country, the Philippines has widespread use of pesticides to control soil pests and weeds; however, these chemicals can contaminate soil and have an adverse effect on soil quality. Currently, other countries are already promoting the practice of organic agriculture in weed control, and one of them is soil solarization. This paper presents an experimental embedded system developed using evolutionary prototyping to aid in performing soil solarization. It used probes as sensors for measuring soil temperature, moisture, pH, and electrical conductivity, with Arduino and Raspberry Pi as mainboards, and a 100-watt incandescent lamp was used as for soil heating. Measurements can be seen on a liquid-crystal display screen and through a web application accessed remotely using a web browser from a device connected in the system's hotspot network. The system was used for a 3-day and 2-week solarization using containerized sample soil that was previously infested with weeds and two layers of 50μm transparent polyethylene plastic as mulch. The temperature and moisture of the soil were measured every 6 hours throughout the process. Based on the soil's determined pH and EC on pre- and post-solarization, information, if the soil is in optimal condition for plant growth, was displayed on the application. Soil solarization using the system for both instances entailed a significant increase in temperature and a decrease in moisture, but soil status and salinity cla'ss were retained as they were before solarization. Moreover, weed germination was not present weeks after using the system which determined its effectiveness and potential as a preventive method for weed management.
{"title":"SSS","authors":"John Cruz, Bryan Christian M. Galon, Jae Yeon J. Han, Leania Mahimer A. Mahimer, Eugenia R. Zhuo","doi":"10.1145/3379310.3379313","DOIUrl":"https://doi.org/10.1145/3379310.3379313","url":null,"abstract":"As a developing country, the Philippines has widespread use of pesticides to control soil pests and weeds; however, these chemicals can contaminate soil and have an adverse effect on soil quality. Currently, other countries are already promoting the practice of organic agriculture in weed control, and one of them is soil solarization. This paper presents an experimental embedded system developed using evolutionary prototyping to aid in performing soil solarization. It used probes as sensors for measuring soil temperature, moisture, pH, and electrical conductivity, with Arduino and Raspberry Pi as mainboards, and a 100-watt incandescent lamp was used as for soil heating. Measurements can be seen on a liquid-crystal display screen and through a web application accessed remotely using a web browser from a device connected in the system's hotspot network. The system was used for a 3-day and 2-week solarization using containerized sample soil that was previously infested with weeds and two layers of 50μm transparent polyethylene plastic as mulch. The temperature and moisture of the soil were measured every 6 hours throughout the process. Based on the soil's determined pH and EC on pre- and post-solarization, information, if the soil is in optimal condition for plant growth, was displayed on the application. Soil solarization using the system for both instances entailed a significant increase in temperature and a decrease in moisture, but soil status and salinity cla'ss were retained as they were before solarization. Moreover, weed germination was not present weeks after using the system which determined its effectiveness and potential as a preventive method for weed management.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121531214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aging societies require disruptive technologies and digitization of health is one of these. Similar to the controller area network bus of (smart) cars we have developed a bus-based system for smart homes. We consider both, vehicles and homes as private spaces, which, in contrast to smart wearables or smart clothes, provide sufficient power supply, computer, and storage hardware. Today's homes and cars are already equipped with a variety of sensors that deliver data relevant with respect to health. The daily delay between opening of bedroom and bathroom doors, or the time between opening the car's door and starting its engine indicates mobility. We further empower eHealth if private spaces are equipped with medical sensors (Step I of the required transforms). However, unobtrusive continuous monitoring of vital signs and biosignals is no yet explored clinically, and data to train artificial intelligence is missing. We propose steering wheel integrated electrocardiography (ECG) recording in smart vehicles and capacitive ECG recording in the chair and bed of the smart home for stroke prevention due to early detection of latent atrial fibrillation. Furthermore, the processing unit needs data warehousing and analytics (Step II). The communication interface needs semantic operability and secure channels, which we propose to establish using the international standard accident number (ISAN) (Step III). Finally, the combination with a medical application such as stroke prevention (Step IV) turns smart environments into private diagnostic spaces.
{"title":"Transforming Smart Vehicles and Smart Homes into Private Diagnostic Spaces","authors":"T. Deserno","doi":"10.1145/3379310.3379325","DOIUrl":"https://doi.org/10.1145/3379310.3379325","url":null,"abstract":"The aging societies require disruptive technologies and digitization of health is one of these. Similar to the controller area network bus of (smart) cars we have developed a bus-based system for smart homes. We consider both, vehicles and homes as private spaces, which, in contrast to smart wearables or smart clothes, provide sufficient power supply, computer, and storage hardware. Today's homes and cars are already equipped with a variety of sensors that deliver data relevant with respect to health. The daily delay between opening of bedroom and bathroom doors, or the time between opening the car's door and starting its engine indicates mobility. We further empower eHealth if private spaces are equipped with medical sensors (Step I of the required transforms). However, unobtrusive continuous monitoring of vital signs and biosignals is no yet explored clinically, and data to train artificial intelligence is missing. We propose steering wheel integrated electrocardiography (ECG) recording in smart vehicles and capacitive ECG recording in the chair and bed of the smart home for stroke prevention due to early detection of latent atrial fibrillation. Furthermore, the processing unit needs data warehousing and analytics (Step II). The communication interface needs semantic operability and secure channels, which we propose to establish using the international standard accident number (ISAN) (Step III). Finally, the combination with a medical application such as stroke prevention (Step IV) turns smart environments into private diagnostic spaces.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127899594","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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