2,886 research outputs found
An Ontology-driven ECHONET Lite Adaptation Layer for Smart Homes
No full textECHONET Lite is a leading protocol for controlling devices in Japan smart homes. However, it lacks interoperability with service platforms that provide ambient assisted living (AAL) services to residents which are actively researched in order to deal with the population aging. This research proposes an adaptation layer for ECHONET Lite protocol which provides the semantic interoperability based on ontology. In order to verify the proposed solution, a service gateway based on the proposed architecture was implemented to integrate ECHONET Lite protocol into the universAAL platform, a leading AAL platform in Europe.ECHONET Lite is a leading protocol for controlling devices in Japan smart homes. However, it lacks interoperability with service platforms that provide ambient assisted living (AAL) services to residents which are actively researched in order to deal with the population aging. This research proposes an adaptation layer for ECHONET Lite protocol which provides the semantic interoperability based on ontology. In order to verify the proposed solution, a service gateway based on the proposed architecture was implemented to integrate ECHONET Lite protocol into the universAAL platform, a leading AAL platform in Europe
Yves-Heng Lim
No full textYves-Heng Lim est enseignant-chercheur au Département d’Etudes de Sécurité et de Criminologie de l’Université Macquarie, Sydney. Il est l’auteur de China’s Naval Power: An Offensive Realist Approach (Ashgate, 2014). Yves-Heng Lim is a lecturer at the Department of Security Studies and Criminology, Macquarie University. He is the author of China’s Naval Power: An Offensive Realist Approach (Ashgate, 2014)
Professional attachment report [with] Chio Lim & Associates.
No full textThis report serves as a summary of the professional attachment. Besides touching on author experiences working with Chio Lim & Associates (CLA), it wil also touch on other issues before, during and after the program
A Systematic Literature Review of Electricity Load Forecasting using Long Short-Term Memory
No full textResearch in electricity load prediction has contributed towards short-, medium-, and long-term planning for electricity power companies. One of the methods applied to perform prediction is machine learning. There are various types of dataset features, machine learning algorithms, and evaluation metrics utilised. This paper reviewed articles on electricity load prediction published in between 2019 and 2021. The review applied the systematic literature review method. In total, there were 368 articles were gathered from an online database, IEEE. The search was made based on combinations of keywords, i.e. short-term, electricity, load, demand, deep learning, forecast, time series, regression, and long short-term memory. From the collected articles, 25 articles were selected from a thorough examination of titles and abstracts. In the end, 11 complete materials were selected for final review. The review concentrated on: (i) common dataset feature and duration used, (ii) testing and validation strategies, and (iii) the evaluation metrics selected. The historical electricity load dataset was sufficient to perform electricity prediction. However, it was improved by adding independent variables into the dataset. RMSE and MAPE were the most used evaluation metrics in the reviewed articles.</p
Lim-inf convergence and its compactness
No full textAbstract- We describe the Mizar formalization of the proof of compactness of lim-inf convergence given in [W33] according to [CCL]. Lim-inf convergence formalized in [W28] is a Moore-Smith convergence investigated in [Y6] and involves the concept of nets. The proof is based on the equivalence of two approaches to convergence in topological spaces: filter convergence and Moore-Smith (net) convergence. The equivalence is worked out in [Y19] and different characterizations of compactness are also given there. These efforts are a continuation of the international project of formalizing the theory of continuous lattices headed by the first author
Comparison of Electricity Usage Forecasting Model Evaluation Based on Historical Load Dataset Duration Using Long Short-Term Memory Architecture
No full textElectricity prediction helps electric power companies to generate sufficient electrical power to consumers. The primary source used in performing forecasting is historical electricity usage. This research identified the optimum historical load data period in generating the best model for short-term forecasting of a household. The experiment applied Long Short-Term Memory (LSTM) architecture using Adaptive Learning Rate Method (Adadelta) on four categories of dataset: one-year, two-years, three-years, and four-years. The models produced were evaluated using mean squared error (MSE) and mean absolute error (MAE). The model generated from two-years of historical data performed the best among all other models with MSE value of 0.133621 and MAE value of 0.050653. The experiment was enclosed with the application of the model to predict the electricity usage of the following year, shown in two sample categories: one day and one week. Then, the prediction results were compared with the actual load.</p
An Experimental Study on Culturally Competent Robot for Smart Home Environment
No full textThe Culture Aware Robots and Environmental Sensor Systems for Elderly Support (CARESSES) project is introduced in this paper. In the CARESSES project, a set of experiments is designed to AQ2
systematically test the user experience, in which the experiment involves a user and a caregiver or a CARESSES robot inside the smart home environment, i.e., iHouse facility. The experiment results reveal that the system integration of the CARESSES robot and the smart home environment can improve the overall user experience
“Survival – to keep writing”: An interview with Shirley Geok-lin Lim
No full textIn this e-mail interview conducted in 2016, author and scholar Shirley Geok-lin Lim addresses the changing social and political conditions in the United States. Lim discusses the affective relationship between aesthetics and politics in her work, the anxiety of multilingual stylistics, and the in-between nature of the transnation. She also reflects on the academic marginalization she has experienced as a result of her immigrant designation and subjectivity, as well as the indirect influence of China and Chineseness on her writing. Commenting on her memoir Among the White Moon Faces, Lim notes the difficulty of titling, and addresses the impact of anglophone literature upon her during her colonial Malaysian upbringing
Majelis Ta’lim Sebagai Alternatif Pusat Pendidikan Islam (Studi Kasus pada Majelis Ta’lim Se Kecamatan Natar Lampung Selatan)
No full textIn the public, living we see routine activities what is done. The routine activities are religious and non religious. Usually, religious activities are done in majelis ta’lim. Majelis ta’lim that grow in the community can to became alternative for central of islamic education if the managed well. Therefore, the author want to discuss about this issue with expectation to know of factors that cause the failure religious building in majelis ta’lim especially in Natar, so to know activities that required to done so as really became alternative for central of Islamic education. This research is quantitative research with collecting data from majelis ta’lim which became this research object. The collecting data is done with instruments: as observation, interview, and documentation. From this research, we can know that style and methode is done by the teacher is principal key to success in majelis ta’lim. Therefore, the inovation is required in majelis ta’lim activities so that can interest of more pilgrims and make him the alternative for central of Islamic education
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