Fine-Grained Multivariate Time Series Anomaly Detection in IoT

Funding Information: Funding Statement: This work was supported in part by the National Natural Science Foundation of China under Grant 62272062, the Researchers Supporting Project number. (RSP2023R102) King Saud University, Riyadh, Saudi Arabia, the Open Research Fund of the Hunan Provincial Key Laboratory of Network Investigational Technology under Grant 2018WLZC003, the National Science Foundation of Hunan Province under Grant 2020JJ2029, the Hunan Provincial Key Research and Development Program under Grant 2022GK2019, the Science Fund for Creative Research Groups of Hunan Province under Grant 2020JJ1006, the Scientific Research Fund of Hunan Provincial Transportation Department under Grant 202143, and the Open Fund of Key Laboratory of Safety Control of Bridge Engineering, Ministry of Education (Changsha University of Science Technology) under Grant 21KB07. Publisher Copyright: © 2023 Tech Science Press. All rights reserved.Peer reviewedPublisher PD

The Application of Carbon Footprint Analysis in Hunan Province

Based on interpreting carbon footprint’s definition and its effecting factors, making positive analyses by using the data of cities in Hunan Province from 2005 to 2009, this paper constructs the calculating model of carbon footprint and analyses the relationship between carbon footprint and population, economy development level, industrial structure and energy structure. Meanwhile, on the basis of above analyses, this paper puts forward effective ways to advance the low-carbon development of Hunan Province from four aspects

Rural small firms' website quality in transition and market economies

Purpose – The purpose of this paper is to investigate website quality in rural firms in four countries, by using Gonzalez and Palacios's Web Assessment Index (WAI). There is an assertion in the literature that quality is lower amongst rural firms than urban firms, and lower amongst small firms than large firms. The disadvantages of lack of access to skills and economic peripherality in rural areas are attributed to this. Concurrently, there is reason to surmise that the websites of firms in transition economies may be higher quality than those in market economies. The paper aims to explore websites in distinct rural regions to investigate if variation occurs. Design/methodology/approach – To evaluate website quality the WAI was applied to a sample of 60 rural firms representing 15 each in Scotland, New Zealand, Southern Russia and Hunan Province in China. Analysis of the categorical data was performed using a variety of established methods. Findings – The WAI is of use in terms of website quality management. Additionally, comparisons between the quality of websites in the sample of small rural firms with those of large firms in previous studies support the contention that large firms generally have better quality websites. Results also illustrate that there are some differences in website quality between rural small businesses in the different locations. In particular, small rural firms in Hunan Province in China had websites of observable better quality than those elsewhere. The authors conclude that skills, knowledge and infrastructure have a bearing on the sophistication of small firms' websites. Research limitations/implications – Implications include that variation in the rural economy by region prevails as the rural economy is not, as often implied, a homogeneous concept. Practical implications – There are implications in terms of exploring the effects of regulation, culture and infrastructure on rural small to medium-sized enterprises (SMEs). The internet may indeed contribute to rural economies, but only insofar as it is facilitated by infrastructure and access to skills, and by culture and perceived usefulness by business owners. Originality/value – The paper contributes to the understanding of rural entrepreneurship as a heterogeneous concept by comparing practice in four distinct rural regions. It also adds weight to the emerging identification of exogenous factors as being at least as much a factor in determining the use of ICT in rural SMEs as endogenous motivations, skills and resources. </jats:sec

Research and Development of Carbon Footprint Analysis In Hunan Province

AbstractBased on the definition of carbon footprint and elements that affect it, a model was constructed for empirical research, using data of cities in Hunan Province from 2005 to 2009, to calculate the amount of carbon footprint and to analyze the relationships between carbon footprint and each of the elements, including population, level of economic development, industrial structure and energy structure. In addition, this paper also puts forward solutions to further low-carbon development of Hunan Province in the areas of low-carbon development mechanism energy structure low carbon life style and talent development

FACTORS INFLUENCING PURCHASE INTENTION TOWARD ONLINE FOOD DELIVERY SERVICE: A CASE STUDY OF EXPERIENCED CONSUMERS IN HUNAN PROVINCE, CHINA

The purpose of this research was to identify the factor influence online food delivery service purchasing intention who live in Hunan province, China. The variables that had been used in this study framework were Price value, Health consciousness, Food safety concern, Prestige value, Affordances value and Visibility. The questionnaire was conducted and selected from 200 respondents in Hunan province by using the non-probability sampling method as purposive sampling. The Multiple Linear Regression was applied for hypothesis testing. The result revealed that Food Safety Concern (β = 0.31, p=.02). was the most influence factor toward consumers’ purchasing intention of online food delivery service. Thus, it showed that Food Safety Concern towards online food delivery service was the most important in determining online food delivery service of Hunan province consumers. The finding suggested that by enhancing the consumer purchasing intentions, the online food delivery service owners should rather focus on Food Safety Concern factor

Evaluation of the sustainable development level of grain family farms in main grain-producing areas based on agricultural multi-function: a case study of Hunan Province in China

IntroductionGrain family farms play an important role in promoting agricultural modernization and rural revitalization in China. Taking Hunan Province as an example, based on survey data from 400 grain family farms and agricultural multi-function theory, 24 specific indicators were selected from three dimensions-economic benefits, social benefits, and ecological benefits-to construct an evaluation system for the sustainable development level of grain family farms.MethodsThe entropy weight TOPSIS method was used to measure the sustainable development level of grain family farms in Hunan Province, and the obstacle factor diagnosis model was used to explore the main obstacle factors affecting the sustainable development of grain family farms.Results(1) The sustainable development level of grain family farms in Hunan Province was classified as good overall with respect to the classification criteria of existing relevant studies, but there were comparative differences in each dimension among the four regions (central Hunan, northern Hunan, southern Hunan, and western Hunan) of Hunan Province. (2) According to the diagnosis and analysis results of the obstacle degree, the top six obstacle factors affecting the sustainable development level of grain family farms in Hunan Province were the effective use of water resources, soil protection, and improvement efforts, the number of agricultural ecological culture inheritance activities, carbon emission management, the number of jobs provided for farmers, and adaptability to external environmental changes.DiscussionRelevant policies and systems should be formulated based on local conditions to enhance the integrity and synergy of the development of grain family farms in Hunan Province and to enhance the sustainable development ability of grain family farms in Hunan Province

The swine flu alert: keeping Asia safe

After years of concern about H5N1 bird flu, the new flu causing global alarm is a pig virus of the H1N1 family. As influenza reports erupt around the world, inevitable questions are arising. Is this the big one? Are we prepared

Preparation and thermal properties of mineral-supported polyethylene glycol as form-stable composite phase change materials (CPCMs) used in asphalt pavements

Tis work was supported by the National Natural Science Foundation of China (51704040, 51778071, 51608058), the Scientifc Research Project of Hunan Provincial Department of Education for Excellent Young Scholars (16B007), Open Fund of Key Laboratory of Special Environment Road Engineering of Hunan Province (Changsha University of Science & Technology, kf160501), and Open Fund of Key Laboratory of Biohydrometallurgy, Ministry of Education (Central South University, MOEKLB1708)