Smart Living Research Articles

Urban Areas in Indonesia: How does Smart Living is Implemented ?

This study aims to analyze how the implementation of smart living in urban areas in Indonesia. Because Indonesia is included in the ten countries with the fastest urbanization growth in 2014, where urbanization growth is also accompanied by the emergence of various complex problems in urban areas. A mature urban strategy is needed to minimize the occurrence of various problems such as environmental crises, social problems, and irregular urban planning due to rapid urbanization. One of these problems can be overcome by implementing smart living, where the city provides comfort in terms of the environment, sustainable resources, physical and non-physical beauty, visual or not, for the community and the public. The measurement of the implementation of smart living in urban areas is seen from several indicators such as cultural facilities, health conditions, individual safety, housing quality, educational facilities, touristic, and social cohesion. This study uses qualitative research with data analysis using Nvivo 12 Plus and VOSviewer software. The data sources that the author uses are journals obtained from Scopus which are then downloaded in RIS format and processed using VOSviewer and Nvivo 12 Plus. The results of this study indicate that in implementing smart living in urban Indonesia, the security guarantee indicator has not been able to be fulfilled and has the lowest percentage compared to other indicators. while the indicators that have been able to be fulfilled and have the highest percentage are health service facilities.

Smart Living Technologies in the Context of Improving the Quality of Life For Older People: The Case of the Humanoid Rudy Robot

Smart living is an essential dimension of an ageing society because one of its measures includes living conditions (health, safety, housing). Many technological solutions are designed to satisfy the needs of older people living in cities. Humanoid robots are one of the technologies that can significantly improve the quality of life in older adults. The Rudy Robot is an example of a robot adapted to the needs of older people. The conducted research aimed to gain knowledge about the potential future use of the humanoid Rudy Robot by older adults in the context of smart living. The study mainly aimed to identify the robot’s most important functionalities that could improve older adults’ quality of life based on a literature review. In addition, the Rudy Robot was rated according to the most important criteria for evaluating the robot. The paper also examined whether age, sex, education and place of residence affect the assessment of the Rudy Robot technology. It should be noted that this technology is not available in Poland but has become known due to television, the Internet, etc. Respondents received a description of this technology, examples of use, and links to literature and films together with the questionnaire; thus, they knew what the Rudy Robot was and its characteristics, possibilities and potential.

Implementation of Smart City Concept for Sustainable Development in Semarang Old Town Area

The Old Town Area of Semarang has become a ’Pilot Project’ for developing the smart city concept in Semarang. On the other hand, this area is a cultural heritage area, so the implementation of the smart city concept should be able to support the preservation of buildings and the history of the area. The Covid-19 pandemic has affected the implementation of smart cities, considering that activities in the Old Town Area have decreased drastically. This study aims to identify the application of the smart city concept in the Old Town Area of Semarang. The study conducted was in 2020, when the Covid-19 pandemic was still occurring in the community.The study’s initial stage was compiling the dimensions and indicators of smart cities as study variables and exploring smart city regulations in Semarang. In the second stage, to obtain information on the implementation of a smart city in the Old Town Area of Semarang, we conducted interviews with stakeholders from the government, cultural heritage activists, and communities related to the Old Town Area, and building occupants. As a result, we collected information regarding the implementation of smart city before and during the Covid-19 pandemic. The content analysis processed the result of the interview. Meanwhile, we used descriptive analysis techniques to study the dimensions and indicators and smart city regulations in Semarang. From the study results, the implementation of smart city in the Old Town of Semarang was organized into categories: appropriate, still not suitable and not suitable. The dimension of smart city that has appropriate is Smart Living. The dimensions that are still not suitable are Smart Governance, Smart Environment, Smart Economy and Smart Mobility. Meanwhile, the dimension that has not suitable is Smart People. Based on the six dimensions of smart city, there are 25 indicators, and the study results state that only 18 indicators are appropriate.

Hardware circuit design and development of health care intelligent life system

With the progress of society, health care has become an industry in social development. Based on the current social demand for health care system, In this study, raspberry Pie is used as the main controller, D695 sensor is used as the monitoring input device, ESP8266 is used as the wireless data transmission device and hardware controller, The camera component is a monitoring device, and the client is designed through the WeChat applet. Tencent cloud server is used as the data storage and event processing back-end, the hardware circuit of the health smart life system is designed and realized the intelligent monitoring of health care environment.

Implementation of ISO/IEEE 11073 PHD SpO2 and ECG Device Specializations over Bluetooth HDP following Health Care Profile for Smart Living.

Current m-Health scenarios in the smart living era, as the interpretation of the smart city at each person’s level, present several challenges associated with interoperability between different clinical devices and applications. The Continua Health Alliance establishes design guidelines to standardize application communication to guarantee interoperability among medical devices. In this paper, we describe the implementation of two IEEE agents for oxygen saturation level (SpO2) measurements and electrocardiogram (ECG) data acquisition, respectively, and a smartphone IEEE manager for validation. We developed both IEEE agents over the Bluetooth Health Device Profile following the Continua guidelines and they are part of a telemonitoring system. This system was evaluated in a sample composed of 10 volunteers (mean age 29.8 ± 7.1 y/o; 5 females) under supervision of an expert cardiologist. The evaluation consisted of measuring the SpO2 and ECG signal sitting and at rest, before and after exercising for 15 min. Physiological measurements were assessed and compared against commercial devices, and our expert physician did not find any relevant differences in the ECG signal. Additionally, the system was assessed when acquiring and processing different heart rate data to prove that warnings were generated when the heart rate was under/above the thresholds for bradycardia and tachycardia, respectively.

Analisis Tingkat Kematangan Smart City Kabupaten Lombok Utara Menggunakan COBIT 2019

Indonesia's national smart city program adopts 6 main dimensions of smart cities, namely Governance, Branding, Economy, Living, Society, and Environment. The North Lombok Regency Government also developed the regional smart city concept in 2021 which is stated in the 2021-2026 RPJMD. The results of capability level research on smart city dimensions and process domains show that there are 3 dimensions that are still far from the expected target, namely Smart Branding, Smart Economy and Smart Environment, and there are 3 dimensions that are close to the achievement target, namely Smart Governance, Smart Living, and Smart Society. While the analysis of the 9 COBIT 2019 process domains shows that there are 3 process domains that have not been managed, namely: APO03, APO12 dan DSS04, 4 process domains have been defined and are running well, namely: APO07, APO12, APO14, and BAI01, and 3 process domains that have been managed and have achieved the expected targets, namely: APO07, APO14, and BAI01. The average GAP value of the analysis of smart city dimensions and COBIT 2019 process domains is 1.7 and 1.3, respectively.

STUDY ON THE EFFECT OF MINDFULNESS COGNITIVE BEHAVIOR THERAPY IN THE TREATMENT OF ANXIETY DISORDER -- BASED ON THE PERSPECTIVE OF INDIVIDUAL REHABILITATION

STUDY ON THE EFFECT OF MINDFULNESS COGNITIVE BEHAVIOR THERAPY IN THE TREATMENT OF ANXIETY DISORDER -- BASED ON THE PERSPECTIVE OF INDIVIDUAL REHABILITATION

Direct Edge-to-Edge Many-to-Many Latent Feature Transfer Learning

Smart cameras that leverage edge-computing (edge cameras) are increasingly being combined with deep neural networks to realize the Artificial Intelligence of Things (AIoT), enabling a smart life with “low-touch services,” such as unmanned stores. However, deploying many edge cameras and training their models (edge models) in unmanned stores is time consuming and labor intensive. Therefore, studies have utilized transfer learning methods, but training edge models often need powerful servers. Although we previously proposed direct edge-to-edge instance transfer, this approach did not exploit latent features, still required high bandwidth and long training time, and caused privacy leakage. Therefore, we propose direct edge-to-edge many-to-many latent feature transfer learning, which includes elite latent feature (ELF) extraction, direct edge-to-edge one-to-many latent feature transfer learning (DeOmf), and direct edge-to-edge many-to-one latent feature transfer learning (DeMof). Through ELF extraction, DeOmf allows one source edge camera to transfer latent features to multiple target edge cameras, which improves knowledge reuse and accelerates initial model training. Further, DeMof can help exploit the diversity of multiple source edge cameras for one target edge camera. The experimental results show that DeOmf improves accuracy by 6.30%, reduces training time by 32.15%, and saves 22.92% (maximum 83.33%) on transmission cost. In addition, DeMof increases accuracy by 3.42% and saves 66.99% on training time and 56.67% on transmission cost. These improvements can greatly broaden the applicability of our proposed system when comparing to instance-based transfer learning.

Multi-criteria decision-making models for smart city ranking: Evidence from the Pearl River Delta region, China

Although prior studies have proposed some smart city index systems, they primarily focus on generic indicators connected to urban development and fail to reflect the properties of intelligence. To fill this gap, we develop a new index system involving three dimensions of digital infrastructure, smart living, and digital economy. Moreover, compared with studies that use subjective weighting methods to rank the smartness of cities, we combine the Shannon entropy weighting method with three multi-criteria decision-making (MCDM) methods to show the objectiveness of the evaluation process. Through analyzing the quantitative data from nine cities in the Pearl River Delta (PRD) region in China, we find that digital infrastructure is the most important first-level indicator, accounting for 46.92%, followed by the digital economy and smart life accounting for 32.48% and 20.60% respectively. More importantly, when the nine cities in the PRD region are ranked by three MCDM methods, the correlation between the results is over 90%, thus proving robustness. We contribute to the current smart city literature by enriching the components of the smart city index system, as well as evaluation methods. Our findings also guide decision-makers in formulating more targeted smart city construction plans.

All-carbon stretchable and cavity-free white lasers.

Flexible, stretchable, and bendable electronics and optoelectronics have a great potential for wide applications in smart life. An environmentally friendly, cost effective and wide-angle emission laser is indispensable for the emerging technology. In this work, circumvent the challenge issue, cavity-free and stretchable white light lasers based on all carbon materials have been demonstrated by integration of fluorescent carbon quantum dots (CQDs) and crumpled graphene. The typical emission spectrum of the cavity-free laser based on all-carbon materials has a CIE chromaticity coordinate of (0.30, 0.38) exhibiting an intriguing broadband white-light emission. The unprecedented and non-toxic stretchable and white light cavity-free lasers based on all-carbon materials can serve as next-generation optoelectronic devices for a wide range application covering solid-state lighting and future wearable technologies.

Automatic Sensing Dustbin

The smart cities must be provided with basic infrastructure and technological advancements to provide better comfort for living and the better ambience. Much cleaner and hygienic environment should also be assured as an important aspect of smarter life. As the waste is spread all over the surroundings, all the waste is dumped on the lands and this becomes very big problem and becomes source for many disease-causing bacteria as well as viruses which is why waste management is very important. To overcome all the problems of the environment, we have designed project named as "AUTOMATIC SENSING DUSTBIN" with the help of WIFI which performs the relevant activities involved in waste management. In this system, the dustbin is provided with sensor lid which recognizes your presence nearby and opens the bin for you and close the lid automatically. It also segregates the waste dumped in by sensing the wetness and dryness of the waste and further dumps it into respective bins i.e., wet waste bin and dry waste bin. In this system, dustbin is provided with embedded device which gives the status of the dustbin if it is full or empty and sends the updates to the user via SMS. It is a user-friendly bin and also promotes cleanliness and hygiene in the environment.

DEVELOPMENT OF SMART GOVERNANCE MEASUREMENT FRAMEWORK TO CREATE A SUSTAINABLE BANDUNG SMART CITY

This study aims to examine the development of a Smart Governance measurement framework to create a sustainable Bandung Smart City. The measurement of Smart Governance identifies the potential of Bandung city and analyzes what indicators play a major role in the dimensions of Smart Governance, as well as implying government policy as a bridge between the community and the government in making decisions. This research uses Mixed Method (Quantitative and Qualitative). The data were processed using SPSS 25 and LISREL 8.80 app, with Structural Equation Modeling (SEM), the testing based on Confirmatory Factor Analysis (CFA) theory, which is used to support quantitative data. For qualitative data, researchers conducted interviews with stakeholders who were directly involved in the development of Bandung Smart City. The Smart City variable from the Smart Governance Dimension has 4 Sub-dimensions which have standardizes factor loading which explains that all sub-dimensions are meaningful and significant to the Smart Governance Dimension namely Leadership Stakeholders: Mayor, Deputy Mayor, and OPD of (0.83) , Governance Transparency (0.97), Community participation in decision making (0.59), and Infrastructure (0.94). Where the value of CR (0.91), and AVE (0.72). For further research, it is recommended to examine a broader dimension of Smart City, which include Smart Economy, Smart People, Smart Mobility, Smart Environment, Smart Living, Smart Branding, Smart Energy, Smart Society, along with other stakeholders such as relevant government agencies, colleges, entrepreneurs, medical teams and others.

Guest editorial: Smart communications and networking: architecture, applications, and future challenges

Guest editorial: Smart communications and networking: architecture, applications, and future challenges

How to preserve healthy aging through nutritional strategies: The new approach of the Food Social Network (Food NET) project

BACKGROUND: Aging is a process that does not refer only to the accumulation of damage in a human being over time but rather to individual changes determined by genetic, lifestyle, social and environmental factors. Aging is one of the greatest known risk factors for most human diseases. An older person in good health has a good level of independence, weighs less on the national health system and plays a productive and active role in his/her community; thus, the concept of “healthy aging”, reflecting older adult-environment fit should be promoted. The interactions between lifestyle, including nutrition, and health play a fundamental role in the aging process; eating habits and eating behaviours are recognized as important modifiable factors potentially leading to a healthy “phenotype”. OBJECTIVE AND METHODS: A multidisciplinary consortium with three Italian universities (the University of Milano-Bicocca, University of Pavia and University of Calabria) and Italian Small-Medium Enterprises proposed the Food Social Network (Food NET) project. Food NET overall outcome is to achieve target-specific guidelines and exact technologies for accessible functional foods, aimed at improving the quality of life and nutritional status of citizens (aged>65) of the Metropolitan City of Milan (Italy). CONCLUSIONS: This project is part of the “Smart Living” and food-related strategies aimed at responding to the needs of this target population, developing new food products, appropriate to meet the specific requirements and ensuring and promoting sustainable diets for healthy aging by effective food policy approaches.

Impact of Smart Economy on Smart Areas and Mediation Effect of National Economy

The smart city presupposes the integration of different parts—Smart Economy, Smart Environment, Smart People, Smart Living, Smart Mobility, and Smart Governance. The integration assumes the certain relations between them. There are researches considering the impact of separate economic indicators on specific smart area or solutions. Nevertheless, the authors have not come across any studies considering the mutual impact of these areas. The goal of the research is to determine the direct effects of smart economy on other smart components and the indirect (mediation) impact of general indicators of national economy on smart domains. The model was estimated using the PLS-SEM technique tested in SmartPLS-3.3.7. software. The sample included statistical data on the indicators, received from Eurostat Database and Latvian Statistical Office. Data referred to Latvia for years 2009–2019. As a result, the hypotheses that Smart Economy has direct impact on smart people, smart living, smart mobility, smart environment, and smart society were supported. The mediation effect of general indicators of national economy was confirmed only for the smart society domain; other hypotheses were rejected. The obtained results can be practically applied by the authorities responsible for sustainable development of smart areas. The results of mediation effect can be especially interesting for countries that do not present a very high level of economic development but are developing smart, sustainable cities.

Home Energy Forecast Performance Tool for Smart Living Services Suppliers under an Energy 4.0 and CPS Framework

Industry 4.0 is a paradigm consisting of cyber-physical systems based on the interconnection between all sorts of machines, sensors, and actuators, generally known as things. The combination of energy technology and information and technology communication (ICT) enables measurement, control, and automation to be performed across the distributed grid with high time resolution. Through digital revolution in the energy sector, the term Energy 4.0 emerges in the future electric sector. The growth outlook for appliance usage is increasing and the appearance of renewable energy sources on the electric grid requires strategies to control demand and peak loads. Potential feedback for energy performance is the use of smart meters in conjunction with smart energy management; well-designed applications will successfully inform, engage, empower, and motivate consumers. This paper presents several hands-on tools for load forecasting, comparing previous works and verifying which show the best energy forecasting performance in a smart monitoring system. Simulations were performed based on forecasting of the hours ahead of the load for several households. Special attention was given to the accuracy of the forecasting model for weekdays and weekends. The development of the proposed methods, based on artificial neural networks (ANN), provides more reliable forecasting for a few hours ahead and peak loads.

Optimalisasi Kapasitas Rooftop PV System Skala Rumah Tangga di Perumahan

One of the renewable energies in Indonesia is solar energy. The geographical condition of Indonesia, which is a tropical country, is one of the advantages it has for applying solar energy. The Indonesian government is gradually regulating the population system for Solar Power Plants (PLTS). The resident system is in demand because of the advantage that it can be connected to the PLN grid and used as an energy reserve. The installation of rooftop PLTS both in government buildings and on the roofs of houses has now become a common trend in the community as a form of participation in the use of New and Renewable Energy (EBT). Before installing PLTS Roofs, it is necessary to determine in advance how much capacity will be installed. This is also related to the community's question, what is the percentage of electricity costs if PLTS roofs are installed in bulk. These designs and calculations are generally carried out with the help of simulations. To discuss these problems, in this article, we will discuss a simulation of the potential for electrical energy generated from rooftop solar power plants in Cilacap Green Smart Living housing. The simulation was carried out with the help of the SolarGIS PV lunar device. Analytical calculations are carried out by software based on input of regional location and solar irradiation. SolarGis will calculate the daily output power generated by the rooftop PV mini-grid and the average monthly and yearly power. The simulation results show that one house with a daily energy requirement of 13 kWh by installing a rooftop PLTS with a capacity of 3 kWp, the demand for electrical energy imported from the PLN network to the house is only 7.8% in one year.

Toward integrated smart city: a new model for implementation and design challenges.

In smart city architecture, information and communication technologies are used to improve living standards and its management by citizens and government. Most researchers have divided this structure into six main components: smart people, the smart government, smart environment, smart transportation, smart economy, and smart life. Due to the connection between smart cities and the challenges resulting from their implementation and especially its integration, there exists no perfect solution for the concept of an integrated smart city so far according to our studies. Some more general concepts such as security, ICT infrastructure, and knowledge are not seen integrative in these structures. Therefore, it seems that new sub-components and general extra-components should be added to the existing models to form an integrated structure in such a way that the executive projects are located in their proper place in this structure and create and guarantee the integration of the smart city. Therefore, the requirements engineering of the smart city can also be explained more precisely. This study presents a model of an integrated graph in such a way that besides maintaining and improving the model of the smart city and existing models, it will fully cover the integration and requirements engineering and methodologies of the smart city in the future. The present paper offers an upgraded model of a six-component smart city structure as a flexible integrated dynamic graph so that beside maintaining the features of existing smart city models, it ensures its integrity, dynamism, flexibility and performance and prevents the failure of smart operations. Due to its flexibility, adaptability and localization, the proposed model presented in this paper can create an integrated solution and facilitating the life cycle of executive systems and enable governments and communities to predict and prevent sudden events such as natural disasters, pandemics like Covid-19 and the like as well as managing and leading their target community in the best way.

Finally back again! / Exhibitor highlights at LOPEC 2022

From 22-24 March 2022, LOPEC, the world’s leading exhibition and conference for flexible, organic and printed electronics, will open its doors in the ICM, the Messe München congress centre. With the focus on Smart Living and Mobility, exhibitors and speakers from all over the world will show how printed electronics can make our lives more comfortable, safe and sustainable. OPE journal provides you with all the details and exhibitor highlights that you need to know to prepare your visit in Munich

Toward an Online Continual Learning Architecture for Intrusion Detection of Video Surveillance

With recent advances in deep learning technologies, many commercialized video surveillance systems have adopted Artificial Intelligence (AI)-powered video analytics technologies as a way to make our life smarter and safer. Nevertheless, there is no robust architecture with an appropriate network model for commercial services considering both high accuracy and low computational cost. Existing deep learning technologies would not be enough to model and represent the dynamics of the real-world scene, so it is difficult to satisfy all environments using a generic model. Appropriate training data from false-alarm and/or missed cases can address this limitation but is rarely available due to legal issues relating to the privacy of personal data and the unpredictability of new incoming data. In this paper, we propose a novel end-to-end hybrid video surveillance architecture for reliable object detection, consisting of front-end and back-end intelligence. For the intelligent front-end, we propose a new object detector with a Multi-scale ResBlock scheme to consider the scalability and flexibility of the system. We are also developing a new domain adaptation method to replace the generic model with each camera&#x2019;s individual personal model by understanding real-time space and context information for intelligent back-end architecture. It is an iterative and continuous process in which new upcoming data and previous models are consistently engaged in a continuous improvement process. We conducted a series of experiments, including an interesting proof-of-concept tests called the <i>Chameleon</i> project, which demonstrated the high accuracy and versatility of the new architecture, while producing robust results that can be implemented in practice.