مطالب مرتبط با کلیدواژه
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IoT
حوزههای تخصصی:
Artificial intelligence (AI) is a discipline interested in the processes and methods that allow a machine to perform tasks related to human intelligence. It offers many opportunities related to problem solving, quick decision-making, increasing efficiency and reducing costs. Because of its so various fields of application, artificial intelligence is at the heart of the new industrial revolution. Algeria aims to present its AI strategy by 2020. In this paper, we are interested in defining AI, its potential fields of application, and in particular, its influence in the customer journey and position of RFID ( Radio-Frequency Identification ) in the chain; application in the aviation sector and its relationship to the Internet of Things are also described through examples.
Hybrid Algorithm for Efficient node and Path in Opportunistic IoT Network(مقاله علمی وزارت علوم)
حوزههای تخصصی:
Opportunistic networks in the Internet of Things (IoT) scenario, also known as OppIoT, espouse IoT devices interactions opportunistically in order to improve connectivity, the lifetime of the network, and network reliability. An increase in opportunistic utilization is fostered by IoT applications to find communication opportunities whenever possible to route and deliver data efficiently. In this opportunistic scenario, devising an efficient path for data delivery is a challenging work due to uncertainty in the connection between the nodes and the selection of intermediate forwarder nodes for data delivery towards the destination. Considering the scenario of uncertainty in device location and exploiting IoT devices opportunistically, this paper propounds a routing algorithm for OppIoT called Hybrid Multi-Copy Routing Algorithm (HMCRA). The proposed algorithm finds potential forwarder nodes by using fuzzy logic wherein residual energy, distance, and speed of the nodes are considered as input values while preparing fuzzy rules. Genetic Algorithm (GA) is considered along with fuzzy logic to select an efficient path for data delivery. In GA, the delay is taken as the fitness function to select a reliable path for data delivery. Simulation results of the proposed algorithm perform well in contrast with relative existing routing algorithms with respect to latency, overhead ratio, delivery probability, and hop count. The work uniqueness lies in the selection of potential nodes and finding path having less hop count in an opportunistic IoT network scenario.
Internet of Things Care Device for Visually Impaired and Old People(مقاله علمی وزارت علوم)
منبع:
Journal of Information Technology Management , Volume ۱۴, Security and Resource Management challenges for Internet of Things, ۲۰۲۲
132 - 146
حوزههای تخصصی:
Focusing on the problems faced by blind people, this paper has come up with the technology solution for the assistance of blind people. The solution is based on the intelligent data transmission to the earphone of a person based on task associated. The solution consists of a jacket to detect the obstacles along with a wearable box with task priority switchs. The system helps in detection of the obstacle and its height, one-touch cab booking and support of relatives, Ambulance services, Police services, etc. in the case of emergency. Either wired and wireless headphones or speakers can be interfaced with the device (box) to get audio notifications. The various tasks are triggered using multiple switches. The system will use a definitive SOC (System on Chip) platform recognized as Rasp-Pi-Pi along with ultrasonic sensor HC-SR04, Neo-6M GPS (Global Positioning System) module, and different switches. The system uses a 20,000 mAh lion battery for the power supply. The voice signals can be provided in more than fifty languages. A fall detection system is also discussed in this paper. This system will be beneficial not only for blind but also for care of old aged people
جستاری بر گستره تعاریف اینترنت اشیاء در راستای ارائه یک تعریف جامع(مقاله علمی وزارت علوم)
حوزههای تخصصی:
به عنوان یک موضوع رو به رشد، تعریف رسمی و عمومی پذیرفته شده ای از اینترنت اشیاء وجود ندارد. مرور پژوهش های این حوزه نشان می دهد که هر پژوهشگر و سازمانی این فناوری را آنگونه که درک می نماید، تفسیر نموده است. در نتیجه، تا کنون ۱۱۶ تعریف از این فناوری نوظهور ارائه شده است. تحقیق حاضر تلاشی است در راستای شناخت و تسلط بیش از پیش بر تعریف اینترنت اشیاء که با روش مرور پیشینه و بررسی متون انجام شده است. همه تعاریف و توصیف های مربوط اما متنوع به هم ربط داده شد تا تعریفی تهیه شود که بتواند به عنوان مرجعی برای ذینفعانی که مایل به درک مفهوم اینترنت اشیاء هستند قرار گیرد. بررسی تعاریف ارائه شده در این حوزه نشان داد که بسیاری از آن ها دارای وجوه مشترک و مشابه هستند. در این مقاله، یک تعریف جامع از اینترنت اشیاء ارائه شده است که از تعاریف علمی ارائه شده در مقالات، کتب و وب سایت های سازمان های مختلف جهانی استخراج شده است. در نهایت، نگارندگان یک تعریف نسبتا جامع از اینترنت اشیاء ارائه داده اند که یک تعریف مطلق از معنای واقعی اصطلاح مورد بحث نیست، بلکه انتظار می رود به عنوان بخشی از تحقیق و توسعه ی آن در جهت معناداریِ واضح تر این اصطلاح مورد استفاده قرار گیرد. این پژوهش نگاه جامعی به تعاریف ارائه شده در گستره اینترنت اشیاء دارد و می تواند برای علاقه مندانی که به تازگی وارد حوزه اینترنت اشیاء شده اند و یا محققانی که خواستار تعمیق بیشتری در این رابطه هستند، مفید واقع گردد.
Solar Powered Automated Hydroponic Farming System with IoT Feedback(مقاله علمی وزارت علوم)
حوزههای تخصصی:
This paper presents implementation of cost-effective solar powered hydroponic system with Internet of Things (IoT) for online and remote checking and controlling the system operation. The objective was to take advantage of the abundant solar energy while incorporating IoT platform into the system. The system is made up of power supply unit, control unit, Wi-Fi unit, input unit and output unit. The system monitored temperature, humidity and volume of the nutrient solution and at the same time sent online messages to the farmer. The test carried out showed that the system is working and the readings obtained online showed a ± 1% variation from the physical measurement done remotely with meters. This implies that the online control of the system operation was effective
Design, Realization and Measurements of Printed Patch Antenna with Circular Slots for UWB and IoT Applications(مقاله علمی وزارت علوم)
حوزههای تخصصی:
This paper presents the design, simulation and realization of a patch antenna for IOT applications. The patch antenna consists of a radiating element printed on one face of a dielectric substrate, when the ground plane is placed on the other face. In this work, two techniques are used to design a miniaturized patch antenna: the set-up of slots on the radiating element and the use of defective ground plane. Also, the slot’s radius and Length of inset point effects on the performances of the antenna is illustrated. All the simulated results are performed with FEKO, a solver based on a Moments Method and measurement is made using Vector Network Analyzer Anritsu MS2026C. The propose antenna resonates in three frequency bands 3.91, 4.86 and 5.16GHz for different characteristics such as radiation pattern, gain, return loss, which makes it suitable for many wireless communication applications such as IoT applications.
Designing an Integrated Model of Mathematical Planning and IoT with Emphasis on Cost-Time-Routing Optimization of Intercity Transportation Systems(مقاله علمی وزارت علوم)
منبع:
Journal of System Management, Volume ۸, Issue ۳, Summer ۲۰۲۲
95 - 107
حوزههای تخصصی:
The issue of transportation, which today as a socio-political phenomenon plays a very sensitive and important role in the quality and socio-economic structure of a society, forms the basis of modern urban life and the needs of human movement. In this research, our goal is to design a system dynamics model in the form of combined transport system to try to reduce costs, time and increase customer satisfaction by taking into account the uncertainty in the combined transport system, especially uncertainty in demand. Considering the productivity required by both of passengers and urban management, the importance of the issue and its impact on other sectors, as well as the lack of sufficient research in this field, in this study, the design of intra-city transportation system will be studied. The purpose of this planning is to determine the location of stations for public transportation as well as to determine the best route to reach the next station. Initially, the IoT system is used to collect and analyze historical data. Then the effective parameters and input values of the mathematical programming model are determined. The implementation of the model determines the appropriate outcomes for the decision variables. In other words, this leads to determining the optimal stations and the appropriate route to transport passengers between stations so that travel time and cost are minimized. In addition to material profitability, this includes passenger satisfaction, increased willingness to use public transport, reduced traffic, and reduced environmental impact, increased reliability of public transport and more accurate forecast of vehicle arrival at the station.
Automatic Prediction and Identification of Smart Women Safety Wearable Device Using Dc-RFO-IoT(مقاله علمی وزارت علوم)
حوزههای تخصصی:
Women’s safety is very important for around the world and many anti-women safety incidents are happened in current decades. Women's criminality is on the rise in India, particularly on an hourly basis 1000 criminal cases are filed according to Indraprastha and Kannon organizations. The Internet of Things (IoT) application will assist women in difficult situations. This design with Dc-RFO-IoT has an emergency application that can be useful to provide critical thinking and suggestions to women in rescue time. When the emergency soft button is pushed, notifications are sent to registered contacts as well as to women's hotline lines with GPS and GSM. A GPS sensor is also used to transmit the position with longitude and latitude. Every one minute, the receiver sends a link to your location, updating them on your current position. The attacker may shut the victim's mouth and prevent her from requesting assistance. The speaker on this gadget generates high-frequency sound. It will raise the alarm in the surrounding area and make the attacker fearful. This IoT with deep learning application is giving accurate outcomes and measures are improved. The performance measures like accuracy 93.43%, sensitivity 92.87%, Recall 98.34%, safety ratio 97.34%, and F measure 97,89% had been improved these are outperformance the methodology and compete with present models.
تأثیر اینترنت اشیا ) (IOT در ارتقا شاخص های کالبدی کیفیت زندگی شهری نمونه پژوهش: محله اکباتان شهر تهران(مقاله علمی وزارت علوم)
منبع:
مدیریت شهری دوره ۲۱ بهار ۱۴۰۱ شماره ۶۶
۴۱-۲۳
حوزههای تخصصی:
این پژوهش با هدف آشنایی و بررسی استفاده از اینترنت اشیا در شهر و تأثیرات آن در ارتقا شاخص های کالبدی کیفیت زندگی شهری صورت گرفته است. هدف اصلی تحقیق ارتقا شاخص های کالبدی کیفیت زندگی شهری توسط هوشمند سازی تجهیزات و فضاهای شهری است. تحقیقات برای یافتن شاخص های تأثیرگذار بر روی کیفیت فضا، خدمات شهری و ارائه راهکارهای اینترنت اشیا برای ارتقا این شاخص ها صورت گرفتند. در ادامه به جهت یافتن نقاط ضعف در کیفیت خدمات و فضاهای شهری محله اکباتان، تحلیل گسترده و کاملی از شرایط حال حاضر محله انجام شده است. روش تحقیق به لحاظ هدف کاربردی و روش گرداوری داده های تحقیق توصیفی- تحلیلی است. جهت گرداوری اطلاعات مصاحبه با ساکنان و افراد مسئول شهرداری انجام و پرسشنامه حضوری در محل ارائه و تکمیل شد. جهت ارزیابی کیفیت زندگی شهری توسط ساکنان روش مدل سازی معادلات ساختاری به عنوان متدولوژی تحقیق انتخاب شد. تجزیه وتحلیل داده ها با استفاده از نرم افزارهای SPSS و Smart PLS انجام گرفتند. در انتها نتایج بدست آمده تأثیر اینترنت اشیا بر ارتقا شاخص های کالبدی کیفیت زندگی شهری را تأیید کردند و نشان دادند اینترنت اشیا با اتصال تجهیزات شهری به یکدیگر خدمات دهی را بهبود می بخشد و با استفاده از سیستمی یکپارچه نظم خاصی در بین آن ها برقرار می کند.
Value Chains Analysis: Application of Fuzzy Cognitive Map in Pharmaceutical Industry(مقاله علمی وزارت علوم)
حوزههای تخصصی:
This study aims to investigate the factors influencing value chain (VC) in pharmaceutical industry, as a very important sector in Iran. The research method is descriptive-analytical in term of method. The required data have been collected from the experts of a public joint stock company. Conducting the research, first the literature of VC is reviewed to identify the initial factors affecting on VC of pharmaceutical companies. In this Phase, 34 factors were identified in 8 categories including; institutional, industry, political, economic, social, technological, legal and environmental factors. In the next step, a primal evaluation of the initial factors by 14 experts of the research, resulted to the 20 more important factors which were used in the modelling process. Due to the need for fuzzy logic regarding subjective judgments in cause-effect relationships between factors, the fuzzy cognitive mapping (FCM) method in FCM expert software is used to visualize the relationships among these factors. The results show that technological capabilities, government policies, company resilience, financial strength, medicine price, sustainable waste management, cost of raw materials, production technology, cost of energy, R&D, operational efficiency, recycling capabilities, transportation cost, VC governance (coordination/ partnerships/ integration), consumer behavior and social (market) trends, environmental concerns about waste disposal internet of things (IoT) and connected devices, non-value-adding activities, import limitations and skilled human resources, respectively are the most influencing factors on pharmaceutical VC.
Internet of Things in Medicine: a Bibliometric Review(مقاله علمی وزارت علوم)
The Internet of Things (IoT) is a transformative technology that enhances various aspects of human life, significantly impacting fields such as healthcare, industry, transportation, agriculture, education, and commercial applications. In particular, IoT's role in smart healthcare systems has attracted considerable research attention due to its potential to improve patient monitoring, optimize treatments, and reduce costs. Therefore, a systematic assessment of the scientific output in this domain is essential for understanding current trends and future directions. Bibliometric approaches can describe, explain, and predict the scientific contributions of researchers, institutions, journals, and countries on an international scale while identifying emerging research areas. This analysis quantifies scientific output and evaluates its impact through concepts such as co-occurrence networks, collaboration networks, and co-citation networks, revealing trends within specific fields. Given the increasing significance of IoT in healthcare, this study examines trends in IoT applications in medicine using a bibliometric approach. The research analyzes 7,205 articles indexed in the Web of Science (WoS) database, covering the period from 2013 to August 2024. Data visualization was conducted using VOSviewer software. The findings indicate a likely future focus on integrating automated disease detection methods with IoT technologies. China, India, and the United States lead in scientific output, with Asian countries demonstrating a strong interest in healthcare applications. Additionally, security and privacy concerns remain significant challenges in the field.
BSAGIoT: A Bayesian Security Aspect Graph for Internet of Things (IoT)(مقاله علمی وزارت علوم)
IoT is a dynamic network of interconnected things that communicate and exchange data, where security is a significant issue. Previous studies have mainly focused on attack classifications and open issues rather than presenting a comprehensive overview on the existing threats and vulnerabilities. This knowledge helps analyzing the network in the early stages even before any attack takes place. In this paper, the researchers have proposed different security aspects and a novel Bayesian Security Aspects Dependency Graph for IoT (BSAGIoT) to illustrate their relations. The proposed BSAGIoT is a generic model applicable to any IoT network and contains aspects from five categories named data, access control, standard, network, and loss. This proposed Bayesian Security Aspect Graph (BSAG) presents an overview of the security aspects in any given IoT network. The purpose of BSAGIoT is to assist security experts in analyzing how a successful compromise and/or a failed breach could impact the overall security and privacy of the respective IoT network. In addition, root cause identification of security challenges, how they affect one another, their impact on IoT networks via topological sorting, and risk assessment could be achieved. Hence, to demonstrate the feasibility of the proposed method, experimental results with various scenarios has been presented, in which the security aspects have been quantified based on the network configurations. The results indicate the impact of the aspects on each other and how they could be utilized to mitigate and/or eliminate the security and privacy deficiencies in IoT networks.
AI-Powered Network Management with Enhancing Reliability and Security(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
119 - 148
حوزههای تخصصی:
Background: Contemporary multi-protocol networks necessitate scalability, reliability, energy efficiency, and security due to the increasing number of devices and the diversification of network traffic. Conventional network management methods are inadequate to meet these demands, necessitating sophisticated solutions. Artificial intelligence (AI) has emerged as a significant field, offering advanced methods including predictive maintenance, anomaly detection, and intelligent resource management. Objective: This article aims to critically evaluate the effectiveness, flexibility, and productivity of AI-based applications in addressing major challenges in network management, including performance, scalability, energy consumption, threat detection rates, and cost. Methods: The study employs simulations and modeled datasets to assess AI-oriented solutions across various network environments, such as industrial IoT, smart cities, and telecommunications. The evaluation encompasses factors including Mean Time Between Failure (MTBF), resource utilization, delay minimization, and operating cost reduction. Digital twins, intelligent routing algorithms, and self-attention-based anomaly detection models are utilized, and the overall performance of these integrated technologies is analyzed. Results: The analysis demonstrates that AI-powered systems achieve near-optimal performance across all evaluated indicators. Specifically, the Manufacturing and Automotive Knowledge (MAK) sector observed a 52% increase in MTBF, the Banking, Financial Services, and Insurance (BFSI) sector noted a 32.39% improvement in energy efficiency, and the Defense and Public Enterprise (DPE) sector experienced a 94% increase in advanced threat detection. Conclusion: The findings indicate that AI solutions can effectively address many of the challenges present in current networks, offering cost-efficient and secure methods for implementing new communication networks with vast potential. Nonetheless, further empirical research is necessary to generalize these results and validate their applicability in real-world scenarios.
Synergizing 5G and Artificial Intelligence: Catalyzing the Evolution of Industry 4.0(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
495 - 524
حوزههای تخصصی:
Background: The marriage of 5G and Artificial Intelligence (AI) has been brought forward as a key enabler of Industry 4.0 and smart city applications. These technologies solve the problem of latency, scalability, and energy use, providing technology support for real-time decision-making and efficient organization of work. Nevertheless, studies regarding their individual and collective effects in a plethora of industrial and urban contexts are still limited. Objective: The objective of this research is to assess the performance, energy saving, and expansibility of 5G and AI synergies in manufacturing, logistics, healthcare, and smart city applications and highlight their challenges and potential for further exploration. Methods: An experimental data collection, mathematical modeling and comparative analysis approach was employed. Performance indicators including latency, possible and actual throughput, power usage, and predicting achievement were measured in real pilot tests implemented in dense networks and IoT contexts. Available data were compared with other similar studies to gain an understanding of the results. Results: The conjoin with 5G and AI suggested potential optimization of process; the latency has been decreased to more than 90%, its predictive maintenance was sharpened, and its power consumption was decrease to 75%. The feasibility of extending scalability and system reliability of the protocol was confirmed in dense IoT environments, with further potential for emission reduction. Conclusion: The study identifies the use of 5G in Industry 4.0 with AI in addressing dynamic issues but potential drawback includes scalability and security. More studies should be conducted on the novel hybrid architectures and 6G integration concerning more extensive areas.
The Role of Software-Defined Networking (SDN) in Modern Telecommunications(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
551 - 582
حوزههای تخصصی:
Background: Software-Defined Networking (SDN) is widely considered a new paradigm shift in today’s telecommunication evolving method of centralized control, program interface, and dynamic resource configuration. Members of such a network can be reached through single-hop or multi-hop communication and is, however, still faced with inexhaustible challenges in scalability, security, energy consumption as well as Quality of Service (QoS). Objective: Specifically, the article will seek to compare both SDN enabled network as well as legacy networks as regards to established parameters like scalability, security, power consumption, traffic control and path finding. The research aims to fill these gaps by employing state-of-art methods and offer useful recommendations of SDN implementation. Methods: Both simulation and analytical modeling were used to evaluate the proposed SDN architectures under different loads. Metrics were assessed with the congestion control based on the neural network, optimization involved the multiple objectives, and security assessment via game theory. Analyses for statistical significance further supported the performance enhancements determined. Results: The results show 44% improved latency, 33% better energy consumption, and better load balancing in SDN-enabled network. Neural network-based mechanisms were able to reroute 95% of the time under low traffic conditions, while distributed controller-based strategy had high scalability and security. Conclusion: This study points to the capacity of SDN to revolutionize the contemporary telecommunication with strong techniques for comprehensive problems. For the future work it is recommended to conduct validations in operational conditions, and include underdevelopment technologies into the system hierarchy to improve its flexibility and operation characteristics.
The Future of Optical Fiber Networks for Speeding Up the Internet of Tomorrow(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1371 - 1401
حوزههای تخصصی:
Background: The availability of advanced digital technology and evolving need for high speed and low latency connections have put pressures on the existing optical fiber networks. New technologies like the Wavelength Division Multiplexing (WDM), Photonic Integrated Circuits (PICs), Mode Division Multiplexing (MDM) and Quantum Communication will be valuable towards the achievement of these demands. Objective: The study examines the capability, expansiveness, and cost-effectiveness of current and emerging optical fiber systems for the development of future Internet technology. The research also seeks to assess these formations to improve data transmission rates, network response time, secure and efficient networks’ solutions. Methods: This is a mixed methods study where both experimental and computational data were collected and analyzed accompanied by theoretical insight. The results that were compared included transmission rate, spectral efficiency, signal integrity and lifecycle costs. Specific work was done on multi-band WDM, PIC-based systems, optical QKD along with simulation studies on large scalable multi-core and mode-division architectures. Results: The article samples acknowledge improved network capabilities with increased transits per watt by 300% in multi-band WDM and reduction of latency levels by employing edge computing. The tested PIC-based systems were shown to be more efficient than the comparable existing systems and quantum communication proved to be reliable method for transmitting data over short to medium distances. Conclusion: Today, it can be stated that the advanced optical fiber technologies are of great value for the construction of high speed, large bandwidth and secure Internet connection. Their integration can reportedly conquer future connectivity issues but new development is required to come over the barriers of deployment and sustainability.
5G Deployment in Rural Areas: Advancing Connectivity and Bridging the Digital Divide(مقاله علمی وزارت علوم)
منبع:
پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵)
1445 - 1467
حوزههای تخصصی:
Background: Digital literacy, education, and human right of internet are also hampered in rural areas keeping the rural people more backward in the technological advancement and not providing them better chance of socioeconomic development. The opportunity of implementing the new 5G technologies can give the new perspective in the elimination of such disparities manifested through the improvement of the connection, the decrease of latency, and the increase of data transfer rates. This research study established that the adoption of 5G for coverage in rural areas is challenged by technical, economic and policy factors. Objective: The article aims at analyzing the technical, economic, and social aspects of 5G technology in the rural context in order to identify such problem the development of appropriate solutions for infrastructure costs, spectrum availability, and consumers. In pursuing this goal, the research seeks to develop practical recommendations on enhancing deployment strategies to increase Internet access where it is scarce. Methods: The study therefore used an exploratory, theoretical-evaluative, and finally empirical approach that involved quantitative modeling, case studies, and key informant interviews. Latency, data throughput, and coverage stand as the most significant factors which were tested using network simulation. Level of cost was used to determine economic feasibility while data for qualitative analysis were obtained from a survey of policymakers and telecom operators, and focus group discussion with rural community leaders. Results: In the case of 5G, the implementation of the system led to a 75% reduction in latency, a 600% improvement in the data throughput, and a 300% increase in coverage area. This finding revealed that the partnerships as a deployment model were the most effective as they resulted to a 58%ROI and lowered infrastructure costs. Conclusion: The study reaffirms the innovation of 5G to rural areas and develops agriculture, healthcare services, and educational systems. Policies, investments in the right areas, optimal management of the available spectrum and engaging with the communities as required should be a key focus for deployment to be just.