Internet Data Analysis Research Articles

Research on Bionic Design of Packaging Forms for Snacks in Fishing Villages

This article aims to explore the bionic design of the packaging form of snacks in fishing village. Taking Quanzhou xunpu village as an example, through the in-depth understanding of the culture and natural environment of the fishing village, as well as the application of the principle of bionics, a snack package with bionic morphology is designed in line with the local characteristics of XunPu Village and the marine culture. The research combines the analysis of the morphological characteristics of marine organisms such as oysters, shells and fishes, and combines these characteristics with the traditional cultural background of the characteristic snacks of the fishing village to design a new type of packaging scheme that meets the requirements of aesthetics, functionality and sustainability. Through fieldwork research and internet data collection, and research and analysis were carried out. The final design solution is not only artistic and culturally expressive, but also considers the impact of packaging on the environment and enhances the market competitiveness of the product and consumer experience. Future research can further explore the application of bionic design in packaging and its potential in promoting sustainable development and cultural heritage.

Study on applicable coverage extension of theory-based generalization errors bounds to the variants of RVFL network and ELM

This study investigates the coverage extendibility of generalized prediction error estimation for the random vector functional link (RVFL) network and generalized extreme learning machine (GELM). GELM is an ELM applying the limiting behavior of Moore–Penrose generalized inverse (M–P GI) to the output matrix of the last hidden layer of ELM. The RVFL network, the ELM, and their variants are currently employed in various areas due to their fast learning and are expected to be adopted in more applications. Additionally, obtaining prediction error bounds quickly for these networks could greatly increase their utilities. Therefore, exploring the error bounds of the variants is crucial. Recently, the upper and lower bounds of generalized prediction error and their associated tail probabilities for the RVFL network and GELM were analyzed. This study aims to extend the coverage of the existing error bounds to variants of RVFL and ELM. To this end, we investigate each solution of the objective functions for the existing RVFL and ELM variants, compare it with the solution obtained by using the limiting behavior of M–P GI, and then discuss the applicability of the probability inequalities for the prediction error to the variant. Specifically, we conceptualize a restricted solution vector and prove that the restricted solution of a variant of RVFL is identical to that of GELM, with an appropriately selected regularization parameter. The mechanism used in the proof can be applied to other variants, which have different objective functions but have similar forms of solution. Experiments are performed with the CAIDA (Center for Applied Internet Data Analysis) dataset. Numerical results verify the analysis, showing that the generalization prediction error bounds and their associated tail probabilities for ELM (RVFL) variants in applicability coverage are almost identical to those of the GELM (RVFL). In addition, performance-based network similarity is introduced and computed with the obtained results. Based on this analysis, we can conclude that the probability inequalities for prediction error derived can be directly applied to some variants of the RVFL network and ELM, such as robust regularized RVFL and ridge regression ELM. However, it cannot apply directly to the networks that use information obtained during the learning process in its learning, such as RVFL+ and its variants. The significance of this study is that it enables us to figure out the relationship between the size-restricted final weight vector of RVFL and the final weight vectors of ELM, the effect of the relationship on generalized prediction error estimation, and the performance-based similarity between networks. This study provides a theoretical basis for the generalized prediction error's upper and lower bounds and their associated tail probabilities for ELM (RVFL) variants.

Operations Research Improves the Efficiency of United Parcel Service

With today's increasingly fierce commercial competition, logistics companies must optimize their own operating strategies if they want to win and get development in the cruel competition. And if they want to optimize their operating strategies, they naturally cannot do without the help of operations research. This report will rely on data obtained from the Internet and use data analysis methods to explore the impact of operations research on United Parcel Service, including: Route optimization, Resource allocation, Inventory management, and Customer service. Operations research enables United Parcel Service to increase revenue year by year in the fiercely competitive market while maintaining high customer satisfaction. Overall, this report will show how operations research can help with United Parcel Service by analyzing the data of United Parcel Service revenue and income from 2009 to 2021, Number of United Parcel Service employees from 2013 to 2021 and American Consumer Shipping Companies Customer Satisfaction Index scores from 2017 to 2023.

Dynamics of movement amplitude indicators in joints of patients with rheumatoid arthritis

The purpose of the paper is to evaluate the effectiveness of the technology of rehabilitation measures in patients with rheumatoid arthritis according to the dynamics of the amplitude of movements indicators. Theoretical (analysis and generalization of literary and Internet data), survey, collection of anamnesis, objective examination, anthropometric (goniometry) methods of mathematical statistics. 188 patients with rheumatoid arthritis were examined, of which 156 (83%) were women, 32 (17%) were men, and their average age was 44.9±7.6 years old. The analysis of the goniometric indicators of the joints of hands affected by rheumatoid arthritis after six months of conducted rehabilitation measures showed a significant improvement in the mobility of the radiocarpal joint and hand fingers in the examined patients. In particular, active flexion in the radiocarpal joint significantly increased in patients of the experimental group and was 72.5±6.0º, while in the patients of the control group this indicator was 5.3º less (67.2±5.0º) (р<0.05). A significant result was achieved in restoring flexion of the hand fingers in patients of the experi­mental group: mobility of the fingers in the metacarpal phalangeal joints was 83.2±3.6º, and in the control group it was 73.4±5.0º, in the proximal interphalangeal joints in patients of the experimental group it was 84.1±3.3º, and in the control group – 67.8±4.8º (р<0.05). Positive dynamics of active movements in the foot and finger joints was also observed in pa­tients of both groups at the end of the study. In the patients of the experimental group, the active dorsiflexion in the ankle joint was 27.7±1.4º, the plantar flexion was 41.3±1.8º, which was significantly better than in patients of the control group in which the observed dorsiflexion was 23.4±1.7º, and plantar flexion – 41.3±1.8º (р<0.05). Accordingly, there was a significant increase in the motor function indicators in the metatarsal phalangeal joints of patients in the expe­rimental group: flexion was up to 37.1±1.4º, extension – up to 39.2±1.0º, compared with the indicators in the control group: flexion – up to 33.5±1.2º, extension – up to 36.2±1.1º (р<0.05). The effectiveness of the developed technology is con­firmed by improvement of the results of goniometric indicators in patients of the experimental group compared with the control group.

아브젝트 아트 특성이 반영된 특수분장 마케트 제작

Characters in media have been actively created according to trends in literature and art. The creatures in Hollywood films since the 1980s have been loved by many due to their fascinating design and latest special makeup techniques. The proportion of special makeup and maquette production techniques needed to design such creatures has gradually increased and has become more important in the film industry. This study attempted to design creatures, using the characteristics of abject art, going against traditional art, which pursues idealistic and typical beauty. The goal is to design creative characters through art trends, which has not been handled in previous studies, through a maquette production technique that displays concept design. In terms of research methods, the theoretical background of abject art was reviewed through an analysis of technical books, previous studies, and Internet data. The characteristics of abject art into boundary ambiguity, aversion, and lowliness. The works since the film ‘Alien (1979)’, known as the epitome of the creature design process, were categorized into three characteristics of abject art in consideration of opinions from expert groups. In addition, three special makeup maquette works were created according to the type of abject art characteristic. It is anticipated that there will be further studies on design using special makeup maquette during the pre-production of media, having an awareness of the importance of media character design, which reflects the aesthetic characteristics of art trends.

КОНЦЕПЦІЯ ПРОГРАМУВАННЯ ТРЕНУВАЛЬНОГО ПРОЦЕСУ СПОРТСМЕНІВ

The modern system of training athletes is conditioned by the development and introduction of new technologies into the training process, on the basis of which purposeful training effects are carried out. The purpose of the researchis to develop conceptualprovisions for programming the training process of athletes in the annual macrocycle based on a systematic analysis. Research methods: analysis and generalization of literary sources and Internet data, hypothesis and assumptions, historical method, systematic approach. Research results and conclusions. On the basis of theoretical research methods, the concept of programming of training process athletes in the macrocycle has been developed. The concept is determined by: the calendar of competitions, target settings, phased development of sports form. In accordance with this, programs of structural formations of the training process are developed. The development of these programs is determined by the components of training effects, which allows for the purposeful formation of immediate, delayed and cumulative training effects. Programs of structural formations of the training process are developed in a hierarchical sequence - from individual training tasks to the macrocycle.

THE ESSENCE AND ROLE OF PHYSICAL MEDICINE AND REHABILITATION

Aim: To summarize the development of physiatry and to define the role of physical medicine and rehabilitation in the modern army. Materials and Methods: Analysis and summarization of literary sources and Internet data on the implementation of rehabilitation services, systematic analysis and synthesis. Conclusions: Thus, the experience of previous wars and the modern Russian-Ukrainian war emphasized the valuable contribution of Physical Medicine and Rehabilitation to the optimal care and functional recovery of wounded soldiers. Physical therapists treat functional problems of wounded soldiers using strengthening exercises, range of motion exercises, orthotics, physical modalities, and gait training. However, when physiotherapists are present in medical centers, physical therapy and occupational therapy departments with physiotherapists are organized. When physical therapists are not available, orthopedic services usually include therapists.

КОНЦЕПЦІЯ ПРОГРАМУВАННЯ ТРЕНУВАЛЬНОГО ПРОЦЕСУ СПОРТСМЕНІВ

The modern system of training athletes is conditioned by the development and introduction of new technologies into the training process, on the basis of which purposeful training effects are carried out. The purpose of the researchis to develop conceptualprovisions for programming the training process of athletes in the annual macrocycle based on a systematic analysis. Research methods: analysis and generalization of literary sources and Internet data, hypothesis and assumptions, historical method, systematic approach. Research results and conclusions. On the basis of theoretical research methods, the concept of programming of training process athletes in the macrocycle has been developed. The concept is determined by: the calendar of competitions, target settings, phased development of sports form. In accordance with this, programs of structural formations of the training process are developed. The development of these programs is determined by the components of training effects, which allows for the purposeful formation of immediate, delayed and cumulative training effects. Programs of structural formations of the training process are developed in a hierarchical sequence - from individual training tasks to the macrocycle.

Olympic training of trampolinists in Ukraine: problems and prospects

The article discusses the development trends of the trampoline as an Olympic sport, which are associated with an increase in the share of gold awards won by trampoline athletes from various countries of the world. The aggravation of competition in this sport at the Olympic Games between athletes of those countries of the world in which a centralized system of Olympic training for trampolines has been introduced is shown. A tendency to improve the results and their stability in trampoline players from those countries in which the training of athletes is based on the introduction of innovative technologies and integrated medical and biological support has been noted.
 The analysis of the performances of trampoline athletes from the XXVIIth to the XXXIIth Olympic Games was carried out. Conclusions are drawn and priority ways of solving modern problems of Olympic training of trampolines in Ukraine are substantiated.
 The following methods of scientific research were used in the work: analysis of data from special, scientific and scientific-methodical literature, questionnaire survey, analysis of Internet data, comparison, generalization, video analysis of athletes' performances at the last six Olympic Games. The list of problems that complicate the preparation of the Ukrainian national trampoline team is described. For example, unsatisfactory material and technical support of the Olympic training centers. There is no proper training base that meets international standards. It is emphasized that many coaches work in halls where the ceiling height meets the standards for trampolining (not lower than 8 meters, and preferably 10-12 m). Also, the authors emphasize that the quantitative and qualitative indicators of children's and youth sports schools do not meet the modern requirements of high performance sports. There are practically no scientific studies carried out in Ukraine and devoted to trampolining. Without qualitative monitoring of the current technique of the athlete and evaluation of the technique of performing the elements of exercises it is impossible to ensure a stable growth of his technical skills. Technical improvement should be not only the most diverse and such that does not allow the formation of rigid motor skills.

Regional differences and seasonal variation of the burden of skin diseases in southern Germany: a retrospective analysis of internet data

Skin diseases are associated with a considerable burden for patients and their relatives. Not every affected individual, however, seeks medical health care and their families are often forgotten, which makes it challenging to identify all unmet needs. This study aimed to identify regional differences and seasonal variations related to dermatology via an internet search and further investigate whether regional factors influence search behaviour. A retrospective longitudinal study using Google Ads Keyword Planner was carried out to identify skin disease-related terms throughout Bavaria, southern Germany, from June 2015 to May 2019. Terms were categorized and assessed for regional and seasonal differences. From 976 human skin-related terms, with a total search volume of 9,928,630 queries, 7,988,220 referred to "human skin disease", with a higher search volume in rural compared to urban areas (p = 0.012). Search queries for "allergy" and "human skin diseases" displayed significant seasonality (p>0.001 and p = 0.002, respectively). Future monitoring and assessment of this type of Google data for predefined regional areas could identify specific medical needs and provide timed and targetgroup-oriented medical care and information. These could be beneficial for affected people, their family members, physicians, and public health officials.

How Federal and State Regulatory Systems Perpetuate Environmental Injustice in the United States: Industrial Ethylene Oxide Emissions as a Case Study.

Ethylene oxide (EtO), a known human carcinogen, is emitted from facilities across the United States. A 2018 assessment by the Environmental Protection Agency (EPA) showed that areas around EtO-emitting facilities had cancer risk levels up to 24 times the national average. The EPA notified the state Department of Environmental Protection (DEP) about the high cancer risk to their residents. Our aim was to analyze actions and implementation equity at the federal, state, and community levels since the EPA notification. Using publicly available data, we identified U.S. emitters of EtO and then analyzed community, state, and federal actions since the EPA notification through content analysis of internet data using the lens of the environmental inequality formation (EIF) theory. Thirty-one of a total 654 EtO-emitting facilities have an estimated cancer risk of over 100 in a million in neighboring census tracts and are located in 13 states and Puerto Rico, representing 7 EPA regions. Content analysis identified themes of community outcry, agency involvement, and legislative action and found no action without community outcry. By January 2021, 2 facilities had closed, 5 facilities had cut emissions, and 24 facilities in 9 states and 5 EPA regions had taken no action. Wealthier white neighborhoods saw facilities close or cut emissions. Differences in state response correlated with differences in community pressure and state priority setting, resulting in over 1 million people having continued significant EtO exposure for years. The impotence of the federal and state regulatory framework perpetuates environmental injustice in the United States.

Malware recognition approach based on self‐similarity and an improved clustering algorithm

The recognition of malware in network traffic is an important research problem. However, existing solutions addressing this problem rely heavily on the source code and misrecognise vulnerabilities (i.e. incur a high false positive rate (FPR)) in some cases. In this paper, we initially use the K-means clustering algorithm to extract malware patterns under user to root attacks in network traffic. Since the traditional K-means algorithm needs to determine the number of clusters in advance and it is easily affected by the initial cluster centres, we propose an improved K-means clustering algorithm (NIKClustering algorithm) for cluster analysis. Furthermore, we propose the use of self-similarity and our improved clustering algorithm to recognise buffer overflow vulnerabilities for malware in network traffic. This motivates us to design and implement a recognition approach for buffer overflow vulnerabilities based on self-similarity and our improved clustering algorithm, called Reliable Self-Similarity with Improved K-means Clustering (RSS-IKClustering). Extensive experiments conducted on two different datasets demonstrate that the RSS-IKClustering can achieve much fewer false positives than other notable approaches while increasing accuracy. We further apply our RSS-IKClustering approach on a public dataset (Center for Applied Internet Data Analysis), which also exhibited a high accuracy and low FPR of 96% and 1.5%, respectively.

A systematic survey of data mining and big data analysis in internet of things

A systematic survey of data mining and big data analysis in internet of things

A Continuous Terminal Sliding-Mode Observer-Based Anomaly Detection Approach for Industrial Communication Networks

Dynamic traffic monitoring is a critical part of industrial communication network cybersecurity, which can be used to analyze traffic behavior and identify anomalies. In this paper, industrial networks are modeled by a dynamic fluid-flow model of TCP behavior. The model can be described as a class of systems with unmeasurable states. In the system, anomalies and normal variants are represented by the queuing dynamics of additional traffic flow (ATF) and can be considered as a disturbance. The novel contributions are described as follows: (1) a novel continuous terminal sliding-mode observer (TSMO) is proposed for such systems to estimate the disturbance for traffic monitoring; (2) in TSMO, a novel output injection strategy is proposed using the finite-time stability theory to speed up convergence of the internal dynamics; and (3) a full-order sliding-mode-based mechanism is developed to generate a smooth output injection signal for real-time estimations, which is directly used for anomaly detection. To verify the effectiveness of the proposed approach, the real traffic profiles from the Center for Applied Internet Data Analysis (CAIDA) DDoS attack datasets are used.

Development of the Training of Rehabilitation Services Specialists in Ukraine

Aim: To define and reveal the content, specificity and peculiarities of rehabilitation services in Ukraine. Materials and Methods: Analysis and generalization of literary sources and Internet data on the implementation of rehabilitation services, systematic analysis and synthesis. Conclusions: After analyzing literary sources and Internet data, we found that rehabilitation services are a set of measures aimed at the functional restoration of a person and his impaired state.

Factor Analysis of Special Qualities of Elite Field Hockey Players

One of the methods to make an objective analysis of the use of adequate means and methods of the training process depending on the special qualities of athletes is factor analysis. The article describes a methodological approach to factor analysis of special qualities of elite field hockey players. The aim of the research is to determine the factor structure of special qualities of elite field hockey players based on experimental data. The study in- volved 40 elite male field players in field hockey. The average age of sportsmen was 24.7±4.27 years. Sports qual- ification – masters of sports of Ukraine. Research methodology: analysis and generalization of special literature and Internet data, lesson observation, pedagogical testing, methods of functional diagnostics, video recording of competitive activities, pedagogical expertise, methods of mathematical statistics. 28 specific qualities of elite male field players in field hockey were defined. The structure of special qualities of hockey players was deter- mined by five orthogonal factors, and the sum of the contribution to the total sampling variance was 69.55%. Factor analysis of special qualities of elite field hockey players allowed to manage the training process more pur- posefully and adjust the managerial impact on the state of the players ' sports form in the training macrocycle.

Correction to: Big Data Processing and Analysis in Internet of Vehicles: Architecture, Taxonomy, and Open Research Challenges

Correction to: Big Data Processing and Analysis in Internet of Vehicles: Architecture, Taxonomy, and Open Research Challenges

Big Data Processing and Analysis in Internet of Vehicles: Architecture, Taxonomy, and Open Research Challenges

Big Data Processing and Analysis in Internet of Vehicles: Architecture, Taxonomy, and Open Research Challenges

A Regional Network Topology Construction Algorithm Based On Sampling Measurement

Network topology construction is one of the basic means to study the target network. Whether it is the discovery of vital nodes, IP location or network characteristics mining, a complete and accurate network topology is needed. In this paper, a regional network topology construction algorithm based on sampling measurement is proposed to solve the problem of high time cost and resource waste of existing algorithms. Firstly, multiple vantage points located inside and outside the target area are selected to form a probing set. Then the IPes of the target area is extracted based on sampling to form the target IP set. Finally, the probing set is used to probe the target IP set periodically. The network topology of the target region was constructed based on the results of a 40-day internet measurement and compared with the existing database. The experimental results show that the coverage rate of routing nodes in the target area is improved by more than 90% compared with the measured data provided by CAIDA (Center for Applied Internet Data Analysis) and by more than 10% compared with the measured data provided by IPIP.

Research on a monitoring method of measurement standard on-site evaluation

This paper discusses a monitoring method of on-site evaluation of measurement standards. By means of data acquisition, image recognition, mobile Internet and big data analysis, it can collect real-time field image and sound information in the process of measurement on-site verification, and effectively identify the field collected information, calculating the difference value between the actual measurement and the standard value. On the one hand, according to the different categories, the field operators are warned and instructed by means of voice, image and other means. On the other hand, it records the key information of the measurement field verification, and assists the field operators to complete the online filing of engineering data, so as to realize the monitoring of measurement standard on-site evaluation process.