Use Of Wireless Devices Research Articles

Design and Optimization of Higher Education Online English Teaching Utilizing Wireless Network Technology in the Context of 5G

The global demand for wireless communication networks is a result of the widespread use of wireless devices and the related surge of wireless service providers. Data transmission speed, coverage areas, cost-effectiveness, resource utilization, security, scalability, and adaptability are all elements expected to be improved in future 5G wireless networks. Since this rapid development of network communication technology affects the delivery of English education in tertiary contexts, English teachers in colleges and universities should make use of network resources—especially the communication tools embedded in the 5G network. File transfer protocol can utilize the advanced artificial bee colony optimization algorithm (AABCOA) to realize classification, and the system proposed in this article is simulated and tested in Matrix Laboratory (MATLAB). The research results indicate that students are unsatisfied with traditional methods of English pedagogy in higher education and are keen to explore the new learning possibilities provided by 5G integrated wireless network technology.

Analyzing Human-Centric Wireless Energy Harvesting for Sustainable and Resilient Energy Systems

Discussions around wireless communications and energy harvesting in the literature are elitist and techno-centric. There is a need for more studies on a human-centric approach that simplifies the concept and links energy harvesting with human empowerment and well-being. Also, studies so far on the implementation of wireless energy harvesting in rural settlements have been scanty despite the important role wireless communication plays in social interactions and financial transactions within rural communities. The challenge of little awareness of the human sustainability impact of WEH is impeding stakeholders’ advocacy and advancement of wireless energy harvesting (WEH) despite its real and perceived benefits. So far, research efforts as reported in the literature are less than proportionate to the potential of WEH. Apart from providing sustainable energy for wireless devices and networks, its generation of nonelectric renewable energy is a huge plus for ensuring access to affordable, reliable, sustainable, and modern energy for all as contained in the United Nations Sustainable Development Goal 7 (SDG 7). Given the astronomical growth in the use of wireless devices globally, more research studies are needed to create more awareness for massive WEH advocacy. This study uses a model-driven approach to simplify and highlight critical aspects of WEH such as wireless body area network, sources of non-electric renewable energy sources, green energy (environmental protection), intermittent nature of renewable wireless energy sources, and research directions. Also, the application of WEH for the sustenance of lives and livelihood in rural economies is examined using the rural community of Adum-Aiona in Nigeria as a case study. It is expected that the information provided will create more awareness and foster further discussions around the human-centric angle of WEH even as advances in technology continue to be made.

Medicine of the future: personalized, stratified or precision? (literature review)

“Personalized” medicine is based on the belief that each person has unique molecular, physiological, environmental and behavioral characteristics, and in case of development of the disease, each patient should be treated taking into account these unique characteristics. This belief was to some extent confirmed by the use of the latest technologies, such as DNA sequencing, proteomics, imaging protocols and the use of wireless devices for health monitoring, which revealed large inter-individual differences. 
 The purpose: to substantiate a personalized approach will be used in the medicine of the future. 
 Literary sources (scientific articles) were searched, including those published in peer-reviewed journals indexed in Pubmed, WoS, Scopus, Global Health, CyberLeninka, and the Russian Science Citation Index. Seventy two articles devoted to personalized medicine were analyzed, of which 51 are included in this review. The review included articles on personalized medicine, published mainly over the past 10 years on the topics of oncology, genetics, and articles considering the legal, demographic and social aspects of this problem. From the analysis were excluded articles devoted to the philosophical aspects of personalized medicine, the use of computer and wireless technologies for data processing and communication. Historical precedents, some legislative and policy aspects of its implementation in practice, new technologies that make it possible, some new experiences including successes and failures, ways of testing and using individualized drugs, and future directions, including potential ways of treating people with problems concerning fertility and infertility are considered. The existing limitations of “personalized” medicine are presented. Since aspects of “personalized” medicine are rooted in biological realities, individualization of medical practice in certain cases is probably inevitable. 
 Conclusion. With the development of technology and the accumulation of experience, an individual approach to the patient becomes more effective and cost-effective. In order for the various stakeholders to embrace “personalized” medicine and begin operating in this paradigm, it is necessary to develop and implement more effective strategies for the education and training of health professionals at all stages.

A Cross-sectional Study on Power Density of Non-ionizing Radiation and the Incidence of Related Adverse Health Effects in Zabol

Introduction: Increased use of wireless devices and networks such as mobile phones has increased exposure to non-ionizing radiation. Since wireless devices are a distinct part of the ongoing technology, the benefits of applications must outweigh the associated risks so that the developments can take place. In this questionnaire-based study, we aimed to evaluate the effects of non-ionizing radiation from mobile phone base transceiver station (BTS) antennae on the Zabol inhabitants’ health. Methods: In this study, 349 volunteers (186 men and 163 women) inhabiting in Zabol, Iran, were asked to complete a standardized questionnaire from April 2019 to June 2021. The questionnaire included information about age, sex, education, time of residence, and the emergence of symptoms such as cardiovascular problems, weight loss, depression, sleep disturbance, nervousness, and hearing disturbances. The power density of non-ionizing radiation in the living place of the volunteers was measured by an Electro Smog Meter (TES-92 TES Instruments Taiwan). Results: Results showed that the frequency of complaints increased by enhancing the power density for most of the studied symptoms, and in some cases (e.g., irritability, P<0.05 and lowering of libido, P<0.05), the increase was significant with at least P<0.05. The minimum and the maximum measured power densities at the place of residence were 98.3 μW/m2 and 3400 μW/m2 , respectively. Moreover, increasing the frequency of complaints by about at least one symptom was significantly associated with a power density of>600 μW/m2 (P<0.05). Conclusion: It is suggested that inhabitants should not live in locations where the power density is higher than 600 μW/m2 to minimize the risk of radiation-induced symptoms.

Invited commentary: Comparison of visual discomfort experienced by surgeons in wireless versus conventional endoscopy in laparoscopic surgery.

In this study titled “A comparison of visual discomfort experienced by surgeons in wireless versus conventional endoscopy in laparoscopic surgery,” Xu et al. present a novel fifth-generation transmission wireless endoscopic system. They evaluated the visual discomfort in a small cohort of single-institution surgeons (n = 20) and compared its degree between conventional and wireless endoscopic laparoscopic surgeries (laparoscopic radical prostatectomy and laparoscopic radical cystectomy). Subjective questionnaires and objective physiological indicators were used to assess this outcome. They found no difference in visual discomfort between these technologies. For decades, the development of new medical and surgical devices has enabled the rise of state-of-the-art minimally invasive surgeries and enhanced the treatment efficiency of diseases. New technologies have affected every aspect of patient care. The introduction of laparoscopic, robotic, and endoscopic surgery in the urological field has allowed surgeons to push treatment boundaries and perform more challenging procedures in a less invasive manner. However, the “minimally invasive” laparoscopic approach is associated with greater perceived discomfort and musculoskeletal pain. [1] Notwithstanding the surgeons' burden associated with the laparoscopic surgery approach, [2] the technique is currently preferred over the open surgery technique for most cases, as it is associated with less pain, less bleeding, and shorter recovery time for patients. [3] In recent years, surgeons' ergonomic awareness has increased. Factors such as exposure and visualization, surgical instrumentation, and posture are key to avoiding musculoskeletal pain and long-term injury. [4] Thus, ergonomic integration and an appropriate operating room environment are paramount to ensure surgical efficiency, safety, and surgeon comfort. [5] The wireless innovative surgical device presented in the study may be comparable to the wired instrument in terms of visual discomfort; however, it may provide other essential benefits such as reduced physical exertion during surgery. Removing the camera wire from the surgical field confers a clear advantage in creating a clean and tidy terrain. The use of wireless devices in the operating room may aid in creating a better environment and improve surgeon ergonomics, ultimately translating into better procedures and outcomes. However, conclusions must be drawn with caution when introducing innovative technologies into the surgical setting. It is not possible to accept a technology of less-than-current standard. The benefits of the proposed instrument must outweigh its limitations to be validated and to eventually expand and change practice. This study did not measure crucial variables such as procedure duration, intraoperative complications, and surgical outcomes. The instrument's weight, battery autonomy, and grasp ergonomy are other important aspects that should be considered. Furthermore, the cost of the wireless device should meet the intersection between the need for improvement and availability of resources in the healthcare system. Today, the dramatic acceleration in the development of surgical instrument technology creates a unique need to rapidly adapt to the latest devices to stay at the forefront and continue moving forward in the field. However, such technologies require validation, and studies must collaborate to build the body of evidence necessary to shift from current practices toward new approaches.

Personalized medicine: current trends and prospects

«Personalized» medicine is based on the belief that each person has unique molecular, physiological, environmental, and behavioral characteristics, and in case of disease, each patient should be treated taking into account these unique characteristics. This belief was to some extent confirmed by the use of the latest technologies, such as DNA sequencing, proteomics, imaging protocols and the use of wireless devices for health monitoring, which revealed large inter-individual differences. Literary sources (scientific articles) were searched, including those published in peer-reviewed journals indexed in PubMed, Wos, Scopus, and the Russian Science Citation Index. The review includes 49 articles on personalized medicine. It explores new technologies that make personalized medicine possible, new experiences, ways to test and apply individualized drugs, and potential treatments for people with fertility and infertility issues. It can be argued that the individualization of medical practice in certain cases is probably inevitable. Moreover, an individual approach to a patient becomes more efficient and cost-effective.

The evolution of personalized medicine: literature review

"Personalized" medicine is based on the belief that each person has unique molecular, physiological, environmental and behavioral characteristics and in case of disease development each patient should be treated taking into account these unique characteristics. This belief was to somehow confirmed by the use of the latest technologies, such as DNA sequencing, proteomics, imaging protocols and the use of wireless devices for health monitoring, which revealed inter-individual differences in gene expression and penetrance levels. A search was conducted for literary sources (scientific articles), including those published in peer-reviewed journals indexed in Pubmed, WOS, Scopus and RSCI from 2010 to 2021. The review includes 49 articles on personalized medicine. The technologies that make personalized medicine possible, new experience, methods of testing and prospects for the use of individually selected medicinal preparations, as well as potential approaches to the treatment of people with fertility problems and infertility are considered. It can be assumed that the individualization of medical practice will develop, especially in the case of rare genetic diseases. Moreover, an individual approach to the patient is more effective and rentable.

RF Transmitter Identification Using Combined Siamese Networks

RF transmitter identification is facing a big challenge since the increasing use of wireless devices in recent years. Traditional methods for identification are implemented by choosing specific rapid fingerprints manually, which fails to distinguish threats from unknown or rogue transmitters in a few shots under the complex electromagnetic environment. In order to solve this problem, a combined Siamese networks learning method for RF transmitter identification (CSNTI) is proposed in this work by considering both the data augmentation and the classical fingerprints of RF signals. The proposed method is composed of a series of classifiers trained by Siamese networks. Each classifier is utilized to distinguish one transmitter from others. Based on the special structure of Siamese networks, the number of training samples for each classifier increases greatly, which is efficient for data augmentation and takes full use of the limited RF transmitter signals. Then, the softmax procedure is followed to normalize the output of all classifiers. A criterion for unknown transmitters’ identification is proposed. Numerical experiments for basic classification and new devices identification with eight known transmitters and three unknown transmitters are validated. Results of compared methods suggest that the highest accuracy across a broad range of conditions is achieved by the proposed method.

New mobility Scheme based on SDN in Wi-Fi network

The massive use of wireless device and the increasing of traffic volume lead to find solutions to extend the coverage and increase wireless LANs' capacity. Given the distributed nature of 802.11-based WLANs, the existing solutions can become inefficient. Mobility is one of the main challenges when implementing a Wi-Fi network. Most mobile devices require a permanent connection to the desired services. An interruption of these services can occur during handover, i.e., when the access point is changed. This paper proposes a new mobility scheme based on an emerging technology called Software-Defined Networking (SDN). This technology allows centralized management, dynamic, automated configuration, and planning of the wireless network. A network simulation using Mininet Wi-Fi is done to analyze and compare the proposed mobility scheme's performance to the existing mobility protocol (PMIPv6). The results are very promising and prove the efficiency of our mobility system

Potential influence of prenatal 2.45 GHz radiofrequency electromagnetic field exposure on Wistar albino rat testis.

An ever-increasing use of wireless devices over the last decades has forced scientists to clarify their impact on living systems. Since prenatal development is highly sensitive to numerous noxious agents, including radiation, we focused on the assessment of potential adverse effects of microwave radiation (MR) on testicular development. Pregnant Wistar albino rats (3 months old, weighing 282±8 g) were exposed to pulsed MR at a frequency of 2.45 GHz, mean power density of 2.8 mW/cm², and a specific absorption rate of 1.82 W/kg for 2 hours/day throughout pregnancy. Male offspring were no longer exposed to MR following birth. Samples of biological material were collected after reaching adulthood (75 days). In utero MR exposure caused degenerative changes in the testicular parenchyma of adult rats. The shape of the seminiferous tubules was irregular, germ cells were degenerated and often desquamated. The diameters of the seminiferous tubules and the height of the germinal epithelium were significantly decreased (both at ∗∗p<0.01), while the interstitial space was significantly increased (∗∗p<0.01) when compared to the controls. In the group of rats prenatally exposed to MR, the somatic and germ cells were rich in vacuoles and their organelles were often altered. Necrotizing cells were more frequent and empty spaces between Sertoli cells and germ cells were observed. The Leydig cells contained more lipid droplets. An increased Fluoro Jade - C and superoxide dismutase 2 positivity was detected in the rats exposed to MR. Our results confirmed adverse effects of MR on testicular development.

Plant Monitoring System

In the Iot based smart plant monitoring system we can monitor and control using Iot . It is very difficult to control scattered without a remote environment monitoring system. In recent years, there appeared a canopy remote monitoring system based on Ethernet. In this project we use different modules such as IOT, arduino as controller, Temperature sensor. If soil is dry automatically water pump will get ON. And the sensor values are given to ADC to get processed by arduino controller. The temperature sensor LM35 senses the temperature and converts it into an electrical signal, which is applied to the micro controller through ADC. If temperature increases more than set threshold value. Automatically Motor will be ON. In this project we are using Temperature Sensor and Dc Motor. In an industry during certain hazards is will be very difficult to monitor the parameter through wires and analog devices such as transducers. To overcome this problem we use wireless device to monitor the parameters so that we can take certain steps even in worst case. Few years back the use of wireless device was very less, but due the rapid development is technology now-a-days we use maximum of our data transfer through wireless like Wi-Fi, Bluetooth, WI-Max,etc.

The history of the use of wireless devices in medicine

The article discusses the main stages of using wireless devices and wireless data transfer technologies in medicine. Purpose of the study: to analyse the implementation history, the use of wireless computerised devices for medical diagnosis and monitoring of the human body. Research methods: descriptive, methodology for systematisation and classification of historical data on the introduction of wireless computerised devices in medicine. Scientific novelty lies in systematising the connectionbetween the development of wireless computerised devices and theuse of new medical diagnostic and monitoring devices in medicine.The following trends can be distinguished in the history and developmentof wireless technologies in medicine. The first is that devices that have Bluetooth and Wi-Fi transmitters in medicine are used to share medical information: mobile accessibility to the patient's catalog, ability to transmit medical test results, output diagnostics directly to personal devices (smartphones , tablets, etc.). These devices help improve patient care. However, the considerable power of radio emission and power consumptionimposes certain restrictions on the long-term use of these devices. The second trend is represented by a group of devices with data modules according to IEEEE 802.15.6 and IEEE 802.15.4, which by their energy parameters of radiation and energy consumption make it possible to create wireless monitoring, diagnostic equipment with longterm autonomous power supply, whose radius is connected with a central device, and allows the patient to move freely within the room, apartment, hospital ward. Conclusions: the use of wireless devices in medicine simplifies the process of diagndiagnosing patients, creates more comfortable conditions for momonitoring the state of the patient’s body and accelerates the prprocessing of data on the state of the human body

Implementation a Context-Aware Plant Ecology Mobile Learning System

Mobile devices are becoming ubiquitous methodologies and tools, providing application for learning and teaching field. On the basis of the widespread use of wireless devices and mobile computing technology, this study proposes a context-aware plant ecology learning system (CAPELS) based on context-aware technology; adapting deep neural networks (DNN) and leaf vein and shape identification algorithm which can identify plant leaves, this system automatically provides relevant botanical and growth environment knowledge to the learners. Therefore, during outdoor education, it can assist learners in accurately obtaining the required relevant botanical and growth environment knowledge. The experimental results indicate that students who used CAPELS performed better learning about plant ecology than those who did not. We also delivered questionnaires to those who used CAPELS and analyzed the results by using the partial least squares (PLS) method. The results have shown that CAPELS can encourage student’s learning motivation and thus improve their learning effectiveness. Thus, CAPELS provides a new educational platform for promoting ecology learning approach and effectively improves student learning efficiency and motivation.

Penetration Testing on WPA2

The WLAN devices are used nowadays in many universities, commercial buildings, and organisations which were developed by Wi-Fi alliance to provide interoperability, security and ease of use of wireless devices connected to everywhere, every time to the internet. The WPA2 standard (IEEE 802.11) defines security mechanisms for wireless networks. This paper describes possible attacks launched on Wireless LAN from pre-connection to gaining access to the system and it represents the effect of these attacks on the WLAN along with some mitigations to prevent the devices from the below-defined attacks.

Industrial Automation Techniques based Internet of Things

Internet of Things (IoT) is the system of electronic devices implemented in the embedded platform that enables the program, sensors, and connection of networks for the collection and exchange of data and those led to the popularity of IoT. Here, we are building a network which monitors the industrial applications automatically and produce Alerts/Alarms and helps in making intelligent decisions with the help of IoT. Internet of things helps in developing effective industrial systems by making use of wireless devices,Android applications and sensors.

Industrial Automation Techniques based Internet of Things

Internet of Things (IoT) is the system of electronic devices implemented in the embedded platform that enables the program, sensors, and connection of networks for the collection and exchange of data and those led to the popularity of IoT. Here, we are building a network which monitors the industrial applications automatically and produce Alerts/Alarms and helps in making intelligent decisions with the help of IoT. Internet of things helps in developing effective industrial systems by making use of wireless devices,Android applications and sensors.

The Contribution of Social Media and Mobile Application to Individual Subjective Well-Being in Counseling Perspective

Various researches in information technology, especially in the era of industrial revolution 4.0 have revealed that there has been a major change in the use of wireless devices in the past decade. The high internet usage is directly proportional to the use of social media which is increasing every year. Social media in principle provides various communities in accordance with the purpose and development goals of the platform. This of course will arouse the arena of new problems at the client's life level, thus becoming a challenge for counselors in the era of industrial revolution 4.0. Counselors in this era are required to have a deeper understanding of the root causes that might arise from the online world. Counselors are also required to have special skills in handling individual welfare conditions related to the impact of activities on social media. This study discusses the general impact of social media on individual subjective well-being conditions. This study involved 174 respondents spread throughout the territory of Indonesia by its demography. The results showed that respondents needed mental health interventions through online channels and not in the form of social media.

Integration of Asset Tracking System through Trilateration Method as Detection Mechanism

Demands for localization system has been growing rapidly in the last several years both for an outdoor and indoor area. In conjunction with this, the capability and reliability of this system to precisely locate and track objects of interest for the indoor area has catered researchers and study on how to do so. One of the major ideas on making it more advance is by incorporating the use of wireless devices into the system. There are numbers of issues that could interrupt the efficiency and success of the system. One of the main problems is the signal loss mainly caused by the attenuation of the signal as they propagate through from the transmitter to the receiver. These attenuations are mostly due to the surface types the signal are traveling on and the objects that are in the Line of Sight in between the transmitter and receiver. In order to ensure the most reliable and efficient wireless connection between transmitter and receiver, a propagation study on the signal is needed for us to analyze and find the best way to trade off the signal attenuation based on the environment surrounding the system. By doing so, a thorough system that has models that can work efficiently even if we are to consider the attenuation factors. The system consists of nodes installed inside the research institute that acts as both transmitter and receivers. The transmitter and receiver will then process the signal that will then determine their location. The receiver is connected to the laptop in order to get a real-time reading so that we will be able to locate the transmitter. A networked of nodes are installed inside the research institute for experiment and the layout of the research is conferred for future references. Data from the experiment are then analyzed and a model for the signal propagation alongside the research institute is created. This model will be able to apprehend the signal attenuation despite the surrounding environment such as furniture and walls. A completed asset tracking system with models of signal attenuation will be built in the future for a more efficient signal transmission.

A scalable multiagent architecture for monitoring IoT devices

In recent years, the use of wireless devices has experienced huge grown, mainly due to the decrease in cost, size and energy consumption. Research in the Internet of Things have concentrated their efforts on how to monitor these devices taking into account both scalability and efficiency while searching and updating continuously device information. In order to do that, current alternatives combine a widely recognized method, the data aggregation, and a widely adopted distributed structure, called Distributed Hash Table, which form groups of devices, saving energy by minimizing the number of transmissions. However, scalability is still a key challenge when the group comprises a large number of devices. In this paper, we propose a scalable architecture that creates agents to distribute the responsibility of managing groups and the interaction among them, such as merging and splitting, and shares the data aggregation with the devices of group frontier. Experimental results showed the viability of adopting this architecture if compared to the most widely used current approaches.

Machine Learning Approach to RF Transmitter Identification

With the development and widespread use of wireless devices in recent years (mobile phones, Internet of Things, Wi-Fi), the electromagnetic spectrum has become extremely crowded. In order to counter security threats posed by rogue or unknown transmitters, it is important to identify RF transmitters not by the data content of the transmissions but based on the intrinsic physical characteristics of the transmitters. RF waveforms represent a particular challenge because of the extremely high data rates involved and the potentially large number of transmitters present in a given location. These factors outline the need for rapid fingerprinting and identification methods that go beyond the traditional hand-engineered approaches. In this study, we investigate the use of machine learning (ML) strategies to the classification and identification problems, and the use of wavelets to reduce the amount of data required. Four different ML strategies are evaluated: deep neural nets (DNN), convolutional neural nets (CNN), support vector machines (SVM), and multi-stage training (MST) using accelerated Levenberg-Marquardt (A-LM) updates. The A-LM MST method preconditioned by wavelets was by far the most accurate, achieving 100% classification accuracy of transmitters, as tested using data originating from 12 different transmitters. We discuss strategies for extension of MST to a much larger number of transmitters.