Smart home: Keeping privacy based on Air‐Padding by Quanlong Zhu, Chao Yang, Yu Zheng, Jianfeng Ma, Hui Li, Junwei Zhang, Jiajie Shao

“…Past research proves that there are privacy risks when people use smart home devices and some protection methods are proposed to protect people's privacy. …”
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Understanding the trends and characteristics of smart urbanism across continents by Lim Seng BOON, Jalaluddin Abdul MALEK, Mohd Yusof HUSSAIN, Zurinah TAHIR

“…The study showed that the North America corporations (i.e., IBM smarter city) are leading the approach of technology-driven method (TDM) and corporate smart city concept, European scholars and institutions have strong influence on the human-driven method (HDM) approach (i.e., the Amsterdam smart city), while Asian countries are discursively learning and applying smart city’s ideas and practices from North America and Europe. …”
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QoS Model of WSNs Communication in Smart Distribution Grid by Ruju Fang, Jianping Wang, Wei Sun, Qiyue Li

“…This paper presents an integrated modeling method providing superior Quality of Service (QoS) for wireless sensor networks (WSNs) which is suitable for smart distribution grid (SDG) communication. …”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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An Approach to Data Processing for the Smart District Heating System by A. V. Sednin, A. V. Zherelo

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Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…In this paper, this problem is investigated and a novel method, based on a difference of convex programming problem, is proposed to solve it. …”
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Smart Sports Recruitment: Leveraging Software for Talent Precision by Muhammad Ramli Buhari, Jance Jacob Sapulete, Muhammad Imran Hasanuddin, Susilawati Susilawati

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Designing a Smart Leadership Model for Education Managers by mehdi oliyaee, aliakbar ajam, Ahmad Akbari, turaj falah mehne

“…Abstract The aim of the present study is to design a smart leadership model for education managers. The research method is applicable according to its purpose, and its method is qualitative and of the type of content analysis. …”
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Applications of Smart Nanomaterials for Climate-Compatible Building Shells by Hamidreza Baniansari, Azam Razavizadeh, Masoumeh Firozi

“…The method used in this research is based on the combined method by examining case studies based on the descriptive-analytical process, in which library studies with logical reasoning method are used to collect information. …”
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Secure protection of video recorder video in smart car by Cheonshik Kim, Dongkyoo Shin, Dongil Shin, Chin-Nung Yang

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Intelligent control system of smart home for context awareness by Minbo Li, Yu Wu

“…In recent years, the rapid development of Internet of Things smart hardware has increased the demand for intelligent control of devices, mainly in the smart home industry. …”
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News Mapping Analysis on Indicators of Smart City in Indonesia by Nurcahyo Caesar Dzikri, Zaenuri Mochamad

“…The method used is a qualitative research method by relying on data sources - secondary data. …”
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Smart Learning Development Model of Indonesian Higher Education by Sudrajat Jajat, Samyono Widodo

“…This research aims to provide input to the Entrepreneurship Study Program to improve the learning process in the context of accelerating National Entrepreneurship so that it can be implemented in 59 Entrepreneurship Study Programs that are members of the apski.net, as a follow-up to the Focus Group Discussion with members of APSKI and KEMENKOPEKM. The research method used in this study is the Research and Development (R&D) method through a case study of the intelligent learning process in the Entrepreneurship Study Program, Bina Nusantara University (Binus). …”
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AI-Based Smart Monitoring Framework for Livestock Farms by Moonsun Shin, Seonmin Hwang, Byungcheol Kim

“…Smart farms refer to spaces and technologies that utilize networks and automation to monitor and manage the environment and livestock without the constraints of time and space. …”
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High-efficiency filtration: Smart designs for particle trapping by Bahador Abolpour, Ramtin Hekmatkhah, Rahim Shamsoddini

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Cycle-Informed Triaxial Sensor for Smart and Sustainable Manufacturing by Parisa Esmaili, Luca Martiri, Parvaneh Esmaili, Loredana Cristaldi

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«Smart City» in Socio-Political Projection (The Case of Barcelona) by A. V. Baranov, L. N. Garas

“…The socio-political aspects of the use of “smart city” technologies in the information and communication era are revealed.The authors use of the system method made it possible to study the technologies of the “smart city” in aggregate, and the use of the comparative method made it possible to establish the specifics of the development of Barcelona during the tenure of Mayor Xavier Trias and Ada Colau. …”
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Studying sediment transport dynamics by using the Smart sphere by Zaid Alhusban, Manousos Valyrakis

“…A new method is introduced by using high precision accelerometer and gyroscope micro-electromechanical sensors (MEMS), which can record Lagrangian observations of sediments and shed light into the dynamics of sediment transport processes at above threshold conditions. …”
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Knowledge management system as a basis for smart learning by Natalia V. Dneprovskaya

“…Creating the appropriate content of education becomes a difficult task with the high rate of development of digital technologies and methods to use them. Now, in smart learning, the technical aspects of the organization of the educational process often overshadow aspects, related to the methodology or content of smart learning. …”
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Application of smart wearable systems for health monitoring in military

“…Background: In recent years with the increasing popularity of non­invasive and low-invasive methods, the smart clothing application - either as professional recognizing tools for medical analysis or in domestic usage- has increased. …”
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