Smart Communication Research Articles

Darbo ir laisvalaikio pusiausvyros paieškos iš kartų kaitos Lietuvos visuomenėje perspektyvos

Work and leisure are interlinked and mutually determining spheres of human life, both of which are socially constructed concepts that depend on a variety of cultural, social and economic factors. In contemporary society, the balance between work and leisure is particularly relevant in the light of various social, economic and technological changes, such as the intensification of work, the constant accessibility of workers to smart communication devices, the blurring of the boundaries between professional and private time, the introduction of flexible forms of work organisation, etc. The pursuit of work-life balance is therefore even becoming a kind of cultural value imperative aimed at ensuring individual and societal well-being. Using empirical data from the European Values Survey spanning almost three decades (1990-2017), this paper analyses the dynamics of value orientations related to work and leisure in Lithuania, in order to see how the importance of these areas of life and the perception of their relationship to each other is changing in different groups of the population, and how this is related to the change of generations. Data were analysed using descriptive statistics, factor analysis, nonparametric covariance analysis and multiple group comparison test and revealed significant differences in value attitudes related to work and leisure and their interrelationship in different social generations in Lithuania, suggesting that, while the importance of work itself has remained essentially unchanged, we are witnessing a profound cultural change, manifested as a broadening of the spectrum of expectations related to work and a search for a better work-life balance.

The Influence of the Internet on the Formation of Virtual Communities and Expansion of Boundaries of Civil Society during the Large-Scale War with the Russian Federation

The purpose of the article is to study the social impact of the use of e-communications on the state of civil society of Ukraine in the conditions of a large-scale war against the Russian Federation. To achieve the goal, the author substantiated the political component of the introduction of e-communications, features, specificity and differences of territorial and virtual communities of GS, determined ways to counter the negative effects of the manipulative mechanisms of the aggressor country. The article uses statistical, comparative, monitoring methods, systemic and functional methodological approaches. The author proves that the development of e-communications is a prerequisite for changes in the activities of organizations, communities and politicians which is becoming more and more transparent and must meet the expectations of the increasingly active HS. Changes are taking place in state and non-state bodies, providing access to them, increasing transparency, increasing the opportunity for citizens to participate in the decision-making process, etc. Politics largely depends on the opinion of citizens, their communities and organizations. Political power is becoming more decentralized, and there are more and more centers of power. The Internet leads to its decentralization, to the formation of a model of a new type of democracy, thanks to convergent processes between representative and direct democracy. Citizens are getting more and more information in real time and decisions about politics and politicians are coming in real time. Support for Internet messaging technologies increases opportunities for citizens to directly participate in politics. Analysis of unifying and network features of a new type of e-democracy and other characteristics, with which it is connected – protest and anti-system movements, are transformed in the direction of "smart communities" or "smart crowds", because their actions are implemented simultaneously in virtual and real space.

AI-Based Analytics for Hawkers Identification in Video Surveillance for Smart Community

Street hawking is a widespread phenomenon in urban areas globally, presenting challenges for local authorities such as traffic congestion, waste management, and negative impacts on the city's image. This research addresses key issues faced by authorities in managing hawkers, including the resistance to formalization, maintaining urban aesthetics, waste disposal, and understanding user preferences. The study investigates the performance of the You Only Look Once (YOLO) algorithm, utilizing Convolutional Neural Networks (CNN) for real-time object detection. To achieve thisobjective, the YOLOv5 algorithm is trained with a custom image dataset collected from the same camera along the street in the city area to detect five classes of objects, namely umbrella, table, stool, car, and people. Real images that were captured via camera and video surveillance were compiled as datasets which are then used to train and test the algorithm. The study aims to provide insights into the data collection process of hawkers along the street around the areas and the development of real-time hawker detection for the smart city application.

OLDER ADULTS’ UNDERSTANDING OF SIGNALS COMMUNICATED BY ROBOT COMPANIONS FOR CAREGIVING

Abstract Robotic animal-like companions for older adults are promising technologies to address companionship and new models of care. Our project, Affordable Robotic Intelligence for Elderly Support, aims to design smart communication capabilities in an Ageless Innovation Joy for All™ robotic cat. The cat robot with enhanced capabilities uses intuitive digital cues, including display screen, sound, and LED to create affordances to communicate various interaction intents to engage users into desirable actions. We conducted a study with 315 participants to understand the efficacy of designed affordances. A total of 8 affordances for 8 task scenarios, each with 3 variations of complete or incomplete information, simulating possible experiences were tested with users. Participants were randomly assigned to the conditions “full” (=display+sound+LED), “no_display” (=sound+LED), and “no_sound” (=display+LED) and were asked to provide a response interpretation of the experience signals and rank a list of potential interpretations in order of possibility. Results indicate that participants in the full experience group liked the robot the most (M=6.95 on a scale of 1-10) and gave the highest probability of the robot being a pleasant companion to older adults (M=7.17), compared to the no_display group (M_likability=6.01; M_companionship=6.58) and the no_sound group (M_likability=6.35; M_companionship=6.96). Participants in “no_display” had the greatest difficulty at inferring the robot’s intent. However, the no_sound group had less difficulty understanding the robot than the “full” experience group. Sound (e.g., meowing) appeared to be ambiguous, and removing it improved the communicability of the designed interface of this robot companion.

Edukasi Dagusibu Obat Sediaan Cair Pada Masyarakat Dusun Kasihan

<em>Cases of Atypical Progressive Acute Kidney Injury (GGAPA) / (Atypical Progressive Acute Kidney Injury) in children continue to grow. The incidence of acute kidney failure in children is thought to be caused by some of the ingredients in the syrup preparations. The content of the drug syrup that is suspected of causing acute kidney failure is the syrup containing EG and DEG contaminants. Regarding the problems that occurred with the syrup preparations, observations were made of PKK women in Kasihan Hamlet RT 08, Tamantirto, Kasihan, Bantul, so that many women panicked excessively and did not want to use liquid preparations, including syrups, emulsions, suspensions and other liquid preparations because of the acute renal failure case. So that there is a need for education regarding DAGUSIBU for liquid dosage forms because, DAGUSIBU is a program to improve how to manage drugs properly and correctly, namely through information on how to obtain (DA), use (GU), store (SI) and dispose (BU). medication properly. DAGUSIBU is one of the applications of the Smart Community Movement on Drugs (Gema Careful) activities. The purpose of the service is to increase public knowledge, especially PKK women in Kasihan Hamlet, RT 08, Tamantirto, Bantul about DAGUSIBU, a syrup preparation drug. The direct counseling method is carried out through offline presentations using slides (power point). The results of community service show positive results. there was a significant increase in public knowledge, which can be seen from the percentage of scores obtained by the community, namely 86.67% and the percentage of posttest scores obtained by participants, namely 88.57%.</em>

An Integrated Two-Factor Authentication Scheme for Smart Communications and Control Systems

Fast and reliable authentication is a crucial requirement of communications networks and has various research challenges in an Internet of Things (IoT) environment. In IoT-based applications, as fast and user-friendly access and high security are required simultaneously, biometric identification of the user, such as the face, iris, or fingerprint, is broadly employed as an authentication approach. Moreover, a so-called multi-factor authentication that combines user identification with other identification information, including token information and device identity, is usedto enhance the authentication security level. This paper proposes a novel twofactor authentication scheme for intelligent communication and control systems by utilizing the watermarking technique to incorporate the mobile device authentication component into the user’s facial recognition image. Our proposed scheme offers user-friendliness while improving user security and privacy and reducing authentication information exchange procedures to provide a secure and lightweight schema in real applications. The proposed scheme’s security advantages are validated using the widely accepted Burrows–Abadi–Needham (BAN) logic and experimentally assessed using the Automated Validation of Internet Security Protocols and Applications (AVISPA) simulator tool. Finally, our experimental results show that the proposed authentication scheme is an innovative solution for a smarthome control system, such as a smart lock door operation.

Diagnosing the voids of knowledge in the transformation process in managing and standardizing smart city development: the case of the government of Indonesia

PurposeThis study investigates smart city development projects implemented by the Government of Indonesia (GoI) from 2017 at the regional and municipal levels. Moreover, it provides a critical perspective on the lack of knowledge of the transformation process, substantive knowledge, and the wide-regime-shifting balance of knowledge required to accomplish smart city development. From the project scope perspective, this research elaborates on technical defaults of the regional and municipal GoI's initiating, constructing, and implementing smart cities.Research methodologyThe authors conducted semi-structured interviews to explore how these project doers operate in each stage of the smart city development, including initiation, work in progress, implementation, and reporting. In addition, the research questions of this semi-structured interview are derived from this study's critical perspective and the knowledge domains of smart city development.OriginalityFirst, this study sheds light on the development of 100 smart cities by the GoI, with 50 financed but unfinished projects since 2017, indicating design failure. Second, we argue that the blueprint designed by the GoI smart communities does not demonstrate comprehensive political will or the conducting of socio-cultural and technical analyses to encourage and support the development of smart cities. Third, this study uniquely highlights that the GoI wants to build smart cities using collective cognition or mutual understanding, but lacks knowledge of the transformation process and substantive knowledge for system analysis and design, development, and implementation, leading to uncertainty and non-uniform approaches to smart city developments across various regions and municipalities. Fourth, this research criticizes the misalignment and imbalance of knowledge between the GoI, the targeted regions and municipalities, and all agents involved in developing smart cities.FindingsThe authors find four unique theme formulations: the GoI's behaviors in equivalencing with regular procurement, the voids of knowledge in the transformation process, substantive knowledge boundaries, and letting these projects progress without accompanying committed knowledge boundaries and working for a future without a signifier. Finally, this study suggests that the government should prioritize mastery of knowledge of the transformation processes in smart city development and implement agile strategies to ensure these projects' success and future benefits.

Fog Computing Task Scheduling of Smart Community Based on Hybrid Ant Lion Optimizer

Due to the problem of large latency and energy consumption of fog computing in smart community applications, the fog computing task-scheduling method based on Hybrid Ant Lion Optimizer (HALO) is proposed in this paper. This method is based on the Ant Lion Optimizer (ALO. Firstly, chaotic mapping is adopted to initialize the population, and the quality of the initial population is improved; secondly, the Adaptive Random Wandering (ARW) method is designed to improve the solution efficiency; finally, the improved Dynamic Opposite Learning Crossover (DOLC) strategy is embedded in the generation-hopping stage of the ALO to enrich the diversity of the population and improve the optimization-seeking ability of ALO. HALO is used to optimize the scheduling scheme of fog computing tasks. The simulation experiments are conducted under different data task volumes, compared with several other task scheduling algorithms such as the original algorithm of ALO, Genetic Algorithm (GA), Whale Optimizer Algorithm (WOA) and Salp Swarm Algorithm (SSA). HALO has good initial population quality, fast convergence speed, and high optimization-seeking accuracy. The scheduling scheme obtained by the proposed method in this paper can effectively reduce the latency of the system and reduce the energy consumption of the system.

Exploring Kente weaving industry to drive smart community development in Ghana

Exploring Kente weaving industry to drive smart community development in Ghana

A literature review of smart technology domains with implications for research on smart rural communities

This literature review examines empirical research on smart technologies in eight domains and seeks to analyse implications for smart rural communities research. The development and implementation of smart technologies has the potential to improve various aspects of life in rural areas, including healthcare, mobility, and governance. However, the adoption of these technologies also raises important questions about their relation to communities. The existing literature is reviewed to examine the key findings and knowledge gaps. By using a sociotechnical perspective and considering the specific characteristics of rural communities, the discussion is focused on how smart technologies can contribute to rural contexts. Further, policy implications are considered, encompassing the requirement for a holistic and inclusive approach to the implementation of smart technologies in rural areas. Implementation should address the specific needs, challenges, economic and infrastructural conditions, social structures, and cultural contexts of the respective communities. Future research and exploration of smart community concepts in rural contexts are suggested to improve smart technology implementation.

A secure energy trading in a smart community by integrating Blockchain and machine learning approach

ABSTRACT In today’s smart communities, small-scale energy systems are essential for sustainable development and efficient resource management. However, ensuring the confidentiality, safety, and accurate prediction of energy consumption patterns in energy trading is a major challenge. To address these issues, an innovative solution that synergistically combines two cutting-edge technologies: blockchain and machine learning is proposed. This paper unveils a novel approach that harmoniously merges blockchain with the Recalling-Enhanced Recurrent Neural Network (RERNN) to revolutionize energy trading systems called ‘Blockchain-Enhanced Energy Trading with Recalling-Enhanced Recurrent Neural Network (BET-RERNN).’ Data from IoT-enabled smart devices is securely stored in blockchain blocks, ensuring data integrity and immutability. Blockchain’s decentralized nature creates a trust-less environment for energy trading, protecting the privacy and anonymity of participants while maintaining transparency. At the heart of our system lies the advanced machine-learning capabilities of the RERNN model. By processing the data stored on the blockchain, RERNN accurately predicts optimal power generation for small-scale energy systems, enabling smart communities to make informed decisions and optimize their energy consumption. The BET-RERNN scheme provides a plethora of strengths. First, participants can securely engage in energy trading without compromising sensitive information, fostering a more resilient and efficient market. Second, blockchain technology ensures that all energy-related data is protected from tampering and unauthorized access, ensuring system reliability and trust. An in-depth comparison of RERNN’s performance to traditional General Regression Neural Network (GRNN) and Gradient Boost Decision Tree (GBDT) methods is conducted. To verify the strategy’s effectiveness, MATLAB simulations are employed, demonstrating its real-world applicability and scalability. By combining blockchain and machine learning, a secure and privacy-preserving smart community is established, promoting sustainable energy practices for a greener future.

Simulating Flexibility of the Smart Supply Chain in Iran’s Health Industry Using System Dynamics Approach

Background: Making a smart and digital supply chain has always been a key phenomenon and a vital factor in organizational transformation. This can play a key role in a country’s health industry. The output can help policymakers check the smart supply chain’s flexibility level and then provide a basis for improving flexibility in the health industry by presenting possible scenarios.
 Objectives: This study aims to improve the flexibility of the smart supply chain using the system dynamics method by improving intelligence variables.
 Methods: This study used the system dynamics approach and VENSIM DSS to extract and present a dynamic model to investigate and indicate the smart supply chain’s flexibility in Iran’s health industry. The gap between the current and desired situations was identified, and then by implementing possible scenarios, which have been taken from experts’ opinions, steps were taken to improve the supply chain’s flexibility.
 Results: Based on the results, smart supply chain flexibility in Iran is unfavorable and probably faces many problems in providing medicine and health services. Under possible scenarios, the highest level of smart supply chain flexibility in Iran’s health industry relies on the institutionalization of smart warehouses or smart communication by 5% during the period under review. This can increase the average smart supply chain flexibility level to 2.08% and 1.4%, respectively.
 Conclusions: According to the scenarios, policymakers can provide the groundwork for improving the flexibility of the supply chain of the health industry by changing one of the two variables of smart warehouse and smart communication.

Data enabling digital ecosystem for sustainable shared electric mobility-as-a-service in smart cities-an innovative business model perspective

Increase in urbanization drives the need for municipalities to make mobility more efficient, both to address climate goals as well as creating a smart living environment for citizens, with less noise congestion, and pollution. As vehicles are being electrified, further advances will be needed to meet social, environmental, and economic sustainability targets, and a more efficient use of vehicles and public transport is central in this endeavor. Accordingly, Electric Mobility as a Service (eMaaS) has developed as a concept with the potential to increase sustainability mobility in cities and been designated as a phenomenon with potential to radically change how people move in the future. But presently there is the lack of a common business model that supports complex integration of all actors, digital technologies, and infrastructures involved in the eMaaS business ecosystem. This study aims to support the further development of eMaaS by providing a state of the art of eMaaS and further proposes a digital ecosystem as a business model for eMaaS sharing in smart cities. Accordingly, a systematic literature review was adopted grounded on secondary data from the literature to offers a new approach to urban mobility and demonstrate the suitability of the eMaaS concept in smart communities. The digital ecosystem is designed based on system design approach. Findings from this study provides a sustainable policy perspective, discusses the challenges and opportunities towards the development of eMaaS and its impact on electrification of vehicles. Overall, findings from this study considers the role of electric vehicles as part of the mobility sharing economy. Recommendations from this study provides designs and strategies for eMaaS, the interrelations between eMobility and other everyday practices, strategically highlighting the positive benefits of eMaaS and broader policies to limit private car usage in cities.

Meta-heuristic optimization based cost efficient demand-side management for sustainable smart communities

The monetary value of grid electricity is inflating significantly due to the staggeringly broadening gap between electricity demand and supply, which arise from the unceasing growth of consumption demands. Although heuristic optimization based demand side management has its merits, incorporating Ant Colony Optimization remains disputable due to its tendency to converge at a local optimum. Therefore, this work presents a hybridized algorithm of Ant Colony Optimization and Genetic Algorithm, which alleviates the drawbacks of Ant Colony Optimization through Genetic Algorithm. The proposed work promotes sustainable energy utilization simultaneously with demand-side optimization. The performance of the proposed algorithm is compared with no scheduling instance, Ant Colony Optimization based energy management controller, and mutated Ant Colony Optimization based appliance scheduling. The proposed algorithm successfully curtails 35.4% from community peak load demand and achieves 33.67% cumulative cost saving for the community. In other words, comparative analysis confirms the supremacy of the proposed algorithm in terms of minimizing peak load, total cost, peak-to-average ratio, and waiting time, while providing prevailing insights about proposed algorithm as a sustainable solution approach.

Design and Development of Smart Communication Systems based on Olive Tree Information for Smart Agriculture

Design and Development of Smart Communication Systems based on Olive Tree Information for Smart Agriculture

The Smart Communication within Crowdy Streets – Intelligent Parking of Romania

According to our studies carried out in the time interval 2021-2022 in the cities of Timișoara and Bucharest, we found that local public administrations can manage more efficient resources called "Public Parking". In the two cities, more than 30% of the traffic is generated by people looking for a parking space. Moreover, statistics show that from 30% to 70% of parking spaces on public roads are occupied without payment. ZTE's smart parking solution aimed to solve such problems by reducing traffic congestion and increasing revenue to the local budget. The big metropolises are "forced" to apply scientific methods to face the new challenges of the third decade of the 21st century by directing investments in the "intelligence of cities". This happens through an assumed policy regarding the digitization of work processes and here we refer in particular to land communication routes, vehicles and parking spaces but we do not neglect traffic and its safety, logistics, the city's energy system, citizens and not in lastly environmental protection. Information technology is the key to success in transforming a poorly effective management policy through its rigidity to an era of integrating the component subsystems of a big city alongside a perception that includes, above all, attracting external funds and investments. Keywords: Bucharest Smart Parking solution, Smart City of Romania, Smart City, parking management.

The role of smart communities integrated with renewable energy resources, smart homes and electric vehicles in providing ancillary services: A tri-stage optimization mechanism

Increasing the connection of renewable energy sources and electric vehicles (EVs) to modern cities with smart homes (SHs) makes the need for new mechanisms to coordinate them with the operation of transmission (TN) and distribution networks (DNs) inevitable since the uncertain behavior of the above-mentioned resources can create various technical and economic challenges for the operators. Hence, this article introduces a tri-stage mechanism for the joint management of the energy and ancillary services markets in coordinated TN and DN, taking into account wind and solar renewable resources, SHs and EVs. In the first stage of this mechanism, SHs do their daily planning with the possibility of participating in the regulation market and send it to the DN operator. In the second stage, DN operator determines its strategy for participation in the energy and ancillary services markets according to the programs received from SHs and sends it to the TN operator. Finally, in the third stage, the TN operator settles the markets according to the plans received from the DN operators. This model is designed in the mixed-integer linear programming (MILP) format and simulated using CPLEX solver in GAMS. The simulation outputs illustrate that SHs by controlling their internet-of-things (IoT)-based appliances and EVs have provided cheap services in the regulation market and subsequently reduced the costs of this market by 10.4%. Also, the results reveal that the participation of large-scale industrial units in the demand response program (DRP) not only reduces the costs of the energy and ancillary services markets but also improves the voltage profile during the peak period.

A Study on the High Quality Development Path of Building Smart Community in Chinese Cities in the Context of Digital Economy - A Case Study of Haishu District, Ningbo City

The idea of a "Smart City" has evolved as society as a whole has begun to grow intelligently in the framework of the digital economy. The traditional community governance model, which represents a citys most fundamental unit, is no longer appropriate for the culture of today, and the idea of a "Smart Community" has been put out. It is a new kind of community that uses cutting-edge developing technologies like cloud computing, next-generation internet, big data, and intelligence to be practical, comfortable, convenient, and sustainable. By using the Haishu district of Ningbo as a case study, this research analyses the approach taken and the dilemmas that may be encountered when building a "Smart Community and proposes a high-quality development path for building a "Smart Community" based on the case. The study finds that stakeholders at all levels need to be closely connected, share data and develop collaboratively, and that there is a need to further develop the talent for "Smart Community" and actively promote the idea of "Smart Community".

Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions

Fast-growing smart city applications, such as smart delivery, smart community, and smart health, are generating big data that are widely distributed on the internet. IoT (Internet of Things) systems are at the centre of smart city applications, as traditional cloud computing is insufficient for satisfying the critical requirements of smart IoT systems. Due to the nature of smart city applications, massive IoT data may contain sensitive information; hence, various privacy-preserving methods, such as anonymity, federated learning, and homomorphic encryption, have been utilised over the years. Furthermore, limited concern has been given to the resource consumption for data privacy-preserving in edge computing environments, which are resource-constrained when compared with cloud data centres. In particular, differential privacy (DP) has been an effective privacy-preserving method in the edge computing environment. However, there is no dedicated study on DP technology with a focus on smart city applications in the edge computing environment. To fill this gap, this paper provides a comprehensive study on DP in edge computing-based smart city applications, covering various aspects, such as privacy models, research methods, mechanisms, and applications. Our study focuses on five areas of data privacy, including data transmitting privacy, data processing privacy, data model training privacy, data publishing privacy, and location privacy. In addition, we investigate many potential applications of DP in smart city application scenarios. Finally, future directions of DP in edge computing are envisaged. We hope this study can be a useful roadmap for researchers and practitioners in edge computing enable smart city applications.

Smart Community using IoT Systems

This study presents the design of smart community environment using a feasible IoT solution. The smart community environment can be split into two phases. The first phase would be monitoring and the next phase would be controlling. In the monitoring phase, the basic environmental parameters like ambience, carbon monoxide level, gas leak level and pressure level are measured and analyzed using NODEMCU8266-12E module. In the controlling phase, a small variety of home appliances are controlled with the help of relay module. To manage the flow of data in ease, XAMPP server is used to maintain the database of each and every sensor node values. The PHP My Admin tool is used here to customize the database structure and to keep track of sensor values. All the authorized users would be able to view the status of surroundings in a particular area. The controlling and monitoring can be operated using an Android App that connects to the XAMPP database. In this study, the controlling of home appliances is also done via speech recognition. Here, Ionic framework is used to develop mobile application software which is hybrid in nature.