Internet Trends Research Articles

Soursop (Annona muricata L.) in Indonesia: Biological evaluation, student perspective and internet trends

The study provided an overview of soursop (Annona muricata L.) in Indonesia, covering taxonomy, phytochemicals, antimicrobial tests, college student perspectives, and internet trends. Taxonomy details were sourced from literature, and herbarium specimens were deposited in the herbaria. Phytochemical compounds were identified using a UV-Vis spectrophotometer, while antimicrobial activity was assessed through disc diffusion. Student perspectives were collected via questionnaires, and internet trends were tracked with Google Trends. Data on taxonomy, student perspectives, and internet trends were analyzed descriptively, while experimental data underwent Kruskal-Wallis testing. Soursop, originally from tropical America, was likely introduced to Indonesia before 1884 and is now widespread. Soursop leaf extract exhibited phenol (2554.22 mg/100g), flavonoid (5263.43 mg/100g), and tannin (1469.77 mg/100g) presence. The study demonstrated its potent antimicrobial properties at concentrations of 25%, 40%, 55%, and 70%, with a 6 mm growth inhibition zone. College students at Health Polytechnic of Denpasar identified 42 treatable diseases with soursop, with fidelity levels (FL) ranging from 2.7% to 48.65%. The highest FL was observed for gout. Leaf and fruit parts of soursop are commonly used in traditional medicine. The trend of internet searches regarding the utilization of soursop (January 2011–September 2023) peaked in January 2012 and then declined until 2023, with the majority of searches occurring in central-western Indonesia.

A Security Model for Web-Based Communication

Web access involves various protocols to resolve domain names to IP addresses, establish data exchange channels with Web servers, and to authenticate communication partners. Each protocol has its own set of requirements and security measures. In addition to technical features, operating the Web also introduces organizational and political aspects which are important to consider when deploying a secure basis for Web-based communication. In this paper, we propose an algorithmic security model based on the widely deployed technologies DNS(SEC) and Web PKI to cover the three dimensions identification , resolution , and transaction . Our model enables quantification and qualification of the security assurance provided by an online service provider. To verify the applicability of our model, we investigate the online presence of Alerting Authorities in the U.S., selected German Emergency Service providers, and UN member states . We observe partially enhanced security relative to global Internet trends, yet find cause for concern as only about 6% of unique hosts cater to secure resolution. About 46% of investigated organizations use shared certificates with 1% of all organizations having no or invalid certificates. Two thirds of organizations are not uniquely identifiable and as such lack the basic requirement of trustworthy communication.

Analyzing Bibliometric Trends in the Social Internet of Things: A Review and Future Perspectives

Analyzing Bibliometric Trends in the Social Internet of Things: A Review and Future Perspectives

The concept, technical architecture, applications and impacts of satellite internet: A systematic literature review

To conduct a comprehensive review of international publications, this study focuses on discussing the development status and future trends of Satellite Internet. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, all peer-reviewed publications in English from journals indexed with the SSCI and SCIE categories of the Web of Science are reviewed, with an emphasis on studies that focused only on the architecture, functions, technologies, and applications of Satellite Internet across the entire period. A total of 2085 records were identified, of which 69 met the inclusion criteria. Through a systematic literature review, the results show that three main research perspectives were summarised and a unified Satellite Internet definition and technical architecture were innovatively provided. Additionally, Satellite Internet application industries and scenarios were comprehensively sorted, and four types of potential impacts were categorised and discussed. This study provides an insightful analysis of recent trends in Satellite Internet research, which may provide guidance for planning and supporting the forthcoming wave of information infrastructure growth. Future research should broaden the scope of theoretical studies when assessing the strategic importance of Satellite Internet. Further quantitative research is needed to provide a more scientific and comprehensive perspective.

Cross-Border E-commerce Product Introduction: Needs and Characteristics for Localized Machine Translation

With the development of science and technology and the rise of international trade, cross-border e-commerce platforms play an important role in international trade. While machine translation plays a crucial role in the introduction of goods in cross-border e-commerce, many machine translations have limitations, such as inaccurate descriptions and not conforming to Internet trends and cultural conflicts. Therefore, this study aims to investigate the characteristics of localization translation and apply them to the establishment of a machine translation corpus. By conducting questionnaires, this paper analyses the translation characteristics and user needs of cross-border e-commerce product introductions. The results found that product introduction translation needs to have the following characteristics: accurate description, comprehensive description, vivid description, concise description, and cross-cultural homogeneity. Based on the analysis, this study raises credible and valid suggestions and provides insights into building a machine translation corpus.

Worldwide internet trends in the public interest related to skin whitening and bleaching creams

ABSTRACT Skin whitening is a practice that is used to obtain lighter skin tone and is most prevalent in Africa and Asia. Substances used for this procedure, such as hydroquinone or mercury have a variety of side effects and are banned in several countries. This study examined the popularity of internet searches for terms related to skin whitening and bleaching creams with the use of GoogleTrends (GT). GT was searched globally for the topic “skin whitening” and two terms “hydroquinone cream” and “mercury cream” throughout a 10-year period (01.09.2013–31.08.2023). The popularity of searches increased during the analyzed period. The topic “skin whitening” was most popular in Sudan, Vietnam, and Sri Lanka. The searches were higher for “hydroquinone cream” than “mercury cream” in almost all countries, besides the Philippines and Indonesia. Our study confirms that skin whitening practices are popular, especially among populations with darker skin tone. Despite potentially toxic side effects, creams with hydroquinone and mercury are increasingly searched worldwide. Education about skin whitening and the usage of bleaching substances should be implemented, especially in the regions of Africa and Asia.

KAJIAN HUKUM DAN REGULASI TERKAIT SERANGAN HACKING PADA PLATFORM DIGITAL DI INDONESIA

Hacking is a technique carried out by someone (hacker, cracker, intruder, or attacker) to attack a system, network, and application by exploiting weaknesses with the intention of gaining access rights to data and systems. Currently, the development of Information and Communication Technology (ICT) is experiencing very rapid growth. The development of information technology, especially the internet, has provided many positive benefits for its users. However, the use of internet technology also has negative impacts that cannot be ignored. The increase in Cybercrime cases in Indonesia is also caused by the impact of advances in Information Technology. Based on this explanation, the aim of this research is to find out how to study law enforcement procedures for hacking victims on digital platforms and how to ensure that digital platform users are more regulated regarding cyber security. The research method used is a descriptive analytical method. The results and discussion in this research are that handling crime cases in the field of information and electronic transactions is a responsibility that has been established for investigators, especially cyber patrols, to investigate and uncover these crimes. The investigation process has a very important and strategic role in determining the success of criminal law enforcement. The quality of a good investigation greatly determines the possibility of success in the prosecution process and makes it easier to reveal material truths during the trial. In order to prevent cybercrime, it is important for individuals and governments to have a deep understanding of crime patterns in the digital realm as well as current and ongoing internet trends and behavior carried out by perpetrators of these crimes. Keywords : Hacking, cyber, digital platform

Recent Advancement in Blockchain: A study

With technological innovation occurring at an ever-increasing rate, block chain has become one of the hottest new Internet trends. Because it is a distributed and decentralised database, blockchain has restored the definition of trust—providing security through cryptography and consensus mechanism without needing any third party. Hence the aim of this study is to provide an overview on the concept of blockchains, historical development, and application of Block chain in real life. In addition, the working of interlinked blockchains (blockmesh), their merits and applications are discussed. This will be useful to clarify the uses and usage of blockmesh in our daily lives. Finally, a slight peek in the past of the block chain would also be discussed to show the exponential growth in the blockchain technology.

Can exploratory analysis of the “google trends - GT” guide or optimize measures in collective health? a brief analysis

Occupational health needs to search for tools, data to adopt effective preventive health measures. Identifying and monitoring indicators of suicide, especially in times of absence caused by the pandemic, is a relevant action for public policies and can be triggered in the work environment. Aim:To analyze the behavior of research and consultations with the GT, together with data from the Ministry of Health – DATASUS (Brazil) on suicide mortality. Method : Descriptive and exploratory study. Period :2018 to 2020. Use Excell for analysis. Results: In an analysis with data search google trends, there was no strong correlation in the years 2018 and 2019 but in 2020 the correlation found. Conclusion : The effectiveness of GT in those areas show the potential of GT to be used when studying and monitoring suicide. Thus, we believe that a preventive approach based on analysis of data from internet trend surveys – google trend – can be used.

The Impact of social media on the Intelligent Fitness Industry: A Case Study of Keep

Smart sports fitness is a new type of fitness method centered on scientific fitness technology, with smart fitness hardware such as smart fitness mirrors, smart treadmills, and online software, aiming to meet personalized and efficient fitness needs. This paper discusses the development of the smart sports and fitness industry, including the application forms of smart sports hardware, smart sports software and smart gyms. COVID-19 has become a catalytic factor in promoting the development of smart sports and fitness products, and the user's concern for personal health and awakening of the awareness of sports and fitness have brought unlimited potential for smart sports and fitness products. In the post-epidemic era, changes in users and scenarios have created a need to optimize the existing fitness industry, further confirming the value of smart fitness products. This study also discusses how to market on social media, including identifying target audiences, choosing marketing platforms, optimizing brand messages, creating interesting, valuable, and diverse content, interacting with fans, and continuously learning to adapt to Internet trends.

EnSysta: A novel architecture of multi-source energy harvesting system

Passive sensing and computing system derived from the combination of environmental capacitive technology and sensing technology, such system obtains energy from the environment for sensing, computing, and wireless communication, has the advantages of energy self-supply, autonomous operation, long-term independent maintenance-free operation, and are the future development trends of Internet of Things technology. But at present, the passive system obtains energy from a single source and the conversion efficiency is low. At present, there are no low-power devices and hardware architectures designed for passive systems, resulting in computing, sensing, and communication power consumption exceeding the capability limit. Therefore, the core problem that restricts the development and application of passive systems is “limited energy”, which further leads to the problems of “short communication distance”, “poor perception” and “inefficient computation”. This paper intends to systematically study the problem of “limited energy”, starting from three aspects of “energy collection”, “energy management” and “energy utilization”, and proposes that “multi-energy source compound energy collection” is energy “open source”, “energy management based on load task model and energy model matching” and “adaptive load task execution planning” is energy “throttling”. This paper provides a comprehensive and systematic solution and research idea for solving the “energy-limited” problem of passive sensing and computing systems and provides strong support for the maturity and application of passive system technology.

Homography transform enhance CNN prediction accuracy on image classification

Convolutional Neural Network (CNN) image classification is a well-established algorithm that has been implemented in many fields. Benefit from the digitalization process and the exponential increase in the base of smart devices, this algorithm can be applied to even more traditional or casual contexts in the future driven by the trend of Internet of Things. Thus, the needs for optimizing image classification in specific domains may have turned out to be ongoing valuable research direction. This paper focuses on providing optimization under one example context which is using traffic signs as the experimental target. For the randomly selected traffic sign samples in the experiment, the accuracy obtained from the samples treated by the homography transform compared to control group passed all three statistical tests: Two Sample t-test, McNemar's test, and Fisher's exact test. Therefore, research direction has achieved small-scale validation and presents optimism for large-sample experiments and further research in optimization using the introduced strategy in the paper.

The Origin and Significance of Research on Music Education Reform and Talent Cultivation Based on Evaluation Index

Abstract In order to explore the origin and significance of music education reform and talent cultivation in the new era, this paper constructs a new music curriculum evaluation model based on SVM. Firstly, we explore the path of music education reform and the goal of music talent cultivation by taking the trend of Internet of everything as the origin of the proposed “high-quality courses” for music in universities. Then, we analyzed that the recognition accuracy of SVM is significantly better than most machine learning methods in solving high-dimensional small sample data, so we established a new music curriculum teaching evaluation model on this basis. The average score of each index of the new course teaching effect is 74, and the evaluation grade is better, obtained by establishing the evaluation system of the new music course of SVM. In the evaluation index, the CVI indexes were all kept in the range of 0.82 to 0.98, which was higher than the standard 0.78 of the CVI index, and the Kappa value of each evaluation index was higher than 0.86. The attendance rate in college teaching rose from 78% to 100%, the ability to master music knowledge rose from 67% to 93%, the ability to apply knowledge rose from 76% to 92%, and the average score on weekly tests rose from 86 to 96. Finally, it is concluded that the Internet-based music education reform approach can promote the development of music education careers and cultivate the important means of all-around talents.

How can blockchain be integrated into renewable energy? --A bibliometric-based analysis

Blockchain technology and renewable energy links can realize the fusion of energy flow and information flow. The combination of the two has a high degree of matching, and the related research is also increasing. Although experts have expanded their research on renewable energy and blockchain, there are still restrictions and gaps in the existing research. In this paper, 920 articles from 2016 to 2023 were chosen and visualized using bibliometrics and CiteSpace software to analyze the research field's development base, collaborative groups, hot topics and evolutionary trends. Based on the foregoing research, we summarized the pertinent literature in the area of “Renewable energy & Blockchain” and thoroughly analyzed the current hot issues in depth to determine the future development direction. The findings show that, first, related research in the field increased rapidly in 2016–2023, the research topics and hotspots of “Renewable energy & Blockchain” focus on energy system optimization, clean energy technologies, circular development and renewable energy trading. Second, all subjects have a specific strength and influence contribution in the field, from the micro to the macro level. Among them, China, the United States and their universities have relatively mature research experience and research ability. Third, research gaps in blockchain-based renewable energy application, technology, and policy, as well as potential trends in energy internet, energy management, energy systems, green certificate trading, and green power trading. This study provides researchers with a theoretical foundation for gaining a thorough understanding of current research efforts and future research directions in this field.

Unveiling global public interest and seasonal patterns of antibiotics and antibiotic resistance: An infodemiology study with implications for public health awareness and intervention strategies

IntroductionThe health-related information-seeking through internet sources has drastically increased throughout the world. This study aimed to analyze the Global public interest on “antibiotics” and “antibiotic resistance”. MethodsThe worldwide internet trend for the search terms “antibiotics” and “antibiotic resistance” from February 2017 to February 2022 was obtained using Google trends. The seasonal variation of interest was analyzed using the Seasonal Decomposition of Time Series by Loess. ResultsThe mean interest for the search term “antibiotics” and “antibiotic resistance” is found to be 78.02 ± 7.5 and 2.3 ± 0.8, which will increase at 2.56 % and 16 % per year. It was observed that there was a significant relationship between antibiotic consumption, the number of physicians, and individuals using the internet in the countries with the search term “antibiotics”. The study also indicates that there is a peak in search volume for the term during the COVID-19 Pandemic. ConclusionOur study observed, that antibiotics related search questions on google by the public indicate the chances of antibiotic misuse. The study data suggest the need to raise public awareness about antibiotic use and antibiotic resistance, as well as there is need for intensive monitoring of dispensing and procurement patterns of antibiotics in developing countries.

Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems

A literature survey shows that the number of malware attacks is gradually growing over the years due to the growing trend of Internet of Medical Things (IoMT) devices. To detect and classify malware attacks, automated malware detection and classification is an essential subsystem in healthcare cyber-physical systems. This work proposes an attention-based multidimensional deep learning (DL) approach for a cross-architecture IoMT malware detection and classification system based on byte sequences extracted from Executable and Linkable Format (ELF; formerly named Extensible Linking Format) files. The DL approach automates the feature design and extraction process from unstructured byte sequences. In addition, the proposed approach facilitates the detection of the central processing unit (CPU) architecture of the ELF file. A detailed experimental analysis and its evaluation are shown on the IoMT cross-architecture benchmark dataset. In all the experiments, the proposed method showed better performance compared with those obtained from several existing methods with an accuracy of 95% for IoMT malware detection, 94% for IoMT malware classification, and 95% for CPU architectures classification. The proposed method also suggests a similar performance with an accuracy of 94% on the Microsoft malware dataset. Experimental results on two malware datasets indicate that the proposed method is robust and generalizable in cross-architecture IoMT malware detection, classification, and CPU architectures classification in healthcare cyber-physical systems.

Research on the application of fashion design concept based on Internet + Big data

In the innovation and development of modern science and technology, clothing enterprises can use the network platform and big data technology to create a new development model, put forward the scientific concept of clothing design, in order to integrate the use of enterprise resources around the whole process of product production. Based on the understanding of the development trend of Internet + big data and the development status of traditional clothing enterprises, this paper deeply discusses the collaboration between clothing design and manufacturing with Internet + big data as the core, and defines the new concept of clothing design by combining practical cases, in order to provide effective basis for the innovation and development of clothing enterprises in the new era.

A Study on the Impact of the Internet+ Era on Korean Film Consumer Culture

Abstract In the late 1990s, the landscape of the Korean film industry underwent a major change as Korean films emerged strongly and swept through Asia and the world with their consumer culture. With the advent of the Internet+ era in the new century, the consumer culture of Korean cinema has changed dramatically. In order to study the impact of the Internet+ era on Korean film consumption culture clearly, this paper analyzes the change in Korean film genres with the Internet trend and the distribution of the Korean film industry in the Internet+ era through Internet information dissemination model and personalized recommendation algorithm. From 2012 to 2021, the main genres of Korean movies changed from romance, drama, and war movies to crime, action, and disaster movies. Among them, the average share of war films reached 11.20%. The average share of disaster films reached 11.11%. The average share of action films is 10.88%. The average share of drama films was 10.97%. In terms of the film industry, the market share of local Korean films has always been able to keep from being surpassed by imported films after surpassing them. 2013 saw the largest gap between imported and local films, with a difference of 19.4 percentage points. In the Internet+ era, audience psychology, consumer demand, and business models have had a profound impact on the consumer culture of Korean films, not only changing the traditional layout of the Korean film market but also allowing film creators to consciously or unconsciously introduce new consumer culture themes in line with the Internet public.

Knowledge Mapping Trends of Internet of Things (IoT) in Plant Disease and Insect Pest Study: A Visual Analysis

The study and literature on the Internet of Things (IoT) and its applications in agriculture for smart farming are increasing worldwide. However, the knowledge mapping trends related to IoT applications in plant disease, pest management, and control are still unclear and rarely reported. The primary aim of the present study is to identify the current trends and explore hot topics of IoT in plant disease and insect pest research for future research direction. Peer review articles published from Web of Science (WoS) Core Collection (2010-2021) were identified using keywords, and extracted database was analysed scientifically via Microsoft Excel 2019, VOSviewer and R programming software. A total of 231 documents with 5321 cited references authored by 878 scholars showed that the knowledge on the studied area has been growing positively and rapidly for the past ten years. India and China are the most productive countries, comprising more than half (52%) of the total access database on the subject area in WoS. IoT application has been integrated with other knowledge domains, such as machine learning, deep learning, image processing, and artificial intelligence, to produce excellent crop and pest disease monitoring research. This study contributes to the current knowledge of the research topic and suggests possible hot topics for future direction.

Survey of Intelligent Agricultural IoT Based on 5G

In the future, agriculture will face the need for increasing production, sustainability, wisdom, and efficiency, which will bring significant challenges to the development of modern agriculture. With the gradual popularization of 5G, advanced information technologies such as the Internet of Things and artificial intelligence promoted the evolution of modern agriculture to intelligent agriculture. The 5G-based Internet of Things will play an essential role in the development of smart agriculture. This paper investigates the research progress of 5G Internet of Things in smart agriculture. It sorts out the development status of 5G smart agriculture Internet of Things in recent years. Following that, the concept of 5G smart agriculture Internet of Things is put forward. It expounds on the connotation, architecture, and enabling key technologies. According to the key application scenarios of smart agriculture, practical cases are presented, the development trend and application value of 5G smart agriculture Internet of Things are shown, and the future development direction is put forward. Firstly, the concept of smart agriculture is distinguished, and the category scenarios of smart agriculture are summarized. Following that, the current review research on 5G-IoT is analyzed. This paper focuses on the analysis and summary of the changes brought by 5G to various key scenarios in smart agriculture. This paper analyzes the related key technologies and challenges, puts forward some key scientific problems, and summarizes the research ideas. Finally, the development trend and application value of 5G smart agriculture Internet of Things are shown. The future development direction is also proposed.