Digital twin models are computerized clones of physical assets or systems and have attracted much attention from academia industries. applications focus on smart manufacturing systems. Meanwhile, products driven increasingly by the needs customers. Industrial production modes evolved mass to personalized production. Understanding customers meeting their become important issues in manufacturing. Social networks provide platforms for online engage different behaviors. In addition, personality...

We investigate the effect of internal control employees (ICEs) on quality. Using special survey data from Chinese listed firms, we find that ICE quality has a significant positive influence examine monitoring this result and is more pronounced for firms with strict environments, especially when implement regulation system (CSOX), have higher institutional ownership or attach greater importance to control. Our findings suggest ICEs play an important role in design implementation systems....

The passage is mainly about the integration of technology Internet Things and intelligent transportation, it points out tendency collection transportation signal control system as well, which are based on structure Things, we also analyze influence industry elaborate relationship between discuss setup new generation transportation. At last will expect application prospects Things.

Purpose The authors develop a conceptual model to examine how three basic psychological needs (i.e. for competence, autonomy and relatedness) affect employee social media use work- social-related use). propose that the need positively moderates relationship between competence work-related use, whereas it negatively relatedness use. Design/methodology/approach To test proposed model, 332 internal 271 external users in workplace were recruited. Findings results indicate respectively, of media....

Intelligent Financial Advisors (IFAs) in online financial applications (apps) have brought new life to personal investment by providing appropriate and high-quality portfolios for users.In real-world scenarios, identifying potential clients is a crucial issue IFAs, i.e., users who are willing purchase the portfolios.Thus, extracting useful information from various characteristics of further predicting their inclination urgent.However, two critical problems encountered real practice make this...

Chinese word segmentation plays an important role in text mining. It is the foundation of automatic relation extraction and identification information processing. In this paper, we propose a method for based on conditional random fields (CRF) with character clustering. For clustering, firstly use Skip-Gram model to obtain embedding from raw corpus (without delimiters). We then apply two different clustering algorithms, K-means Brown algorithm, get clusters embedding. The effect numbers...

Radio Frequency Identification (RFID) is widely used in every area, but its standardization, anti-collision algorithm, and system measurement accuracy still need further improving. Systematic study made this paper according to the strengths weaknesses of RFID development trend. It also explains safety over efficient fast identification algorithm; introduces technology combination internet-of-things, wireless sensors NFC technologies as well application fields retailing, logistics traffic....

Donation-based crowdfunding, as part of impact investment, plays a vital role in promoting economic development and alleviating poverty. In order to enhance the lender's enthusiasm for lending behavior, some platforms, example Kiva, have introduced groups facilitate lending. This study examines how group environment can affect lenders' behaviors crowdfunding. It has been found that lenders who join contribute 1.2 more loans (about $30-$42) per month than those do not, but theoretical...

Outlier detection is an important task in data mining, and many technologies for it have been explored various applications. However, owing to the default assumption that outliers are not concentrated, unsupervised outlier may correctly identify group anomalies with higher levels of density. Although high rates optimal parameters can usually be achieved by using supervised detection, obtaining a sufficient number correct labels time-consuming task. To solve these problems, we focus on...

In the field of education, cloud computing, as a basic environment and platform for future network learning, will bring positive effect on construction learners' personal learning environment, school resources, development educational information system.Based analysis cloud-computing influence collaborative this paper puts forward strategy supported by specific application case, which provide reference in education informatization social learning.

Despite the eye-catching advances in area, deploying Deep Reinforcement Learning (DRL) financial markets remains a challenging task. Model-based techniques often fall short due to epistemic uncertainty, whereas model-free approaches require large amount of data that is unavailable.

The concept of intelligent transportation has been accepted by the community and also widely used.Meanwhile, problems systems have revealed.Then, internet things provides a new way for development transportation.This paper firstly introduces concepts, principles structure things.Then, it analyses impact on given things, states relationship between shows research application mode urban management based things.

The 21st century is the era of Internet, featured by rapid development and application computer network technology. Security issues also present themselves accompanying emergence networks. To tackle these issues, we must come up with countermeasures. In this article, author firstly analyzes security reliability existing in networks, then proposes some opinions on how to deal current aiming discuss together extensive customers order enhance awareness protection.

Outlier detection is an important task in data mining and many technologies have been explored various applications. However, due to the default assumption that outliers are non-concentrated, unsupervised outlier may not correctly detect group anomalies with higher density levels. As for supervised detection, although high rates optimal parameters can usually be achieved, obtaining sufficient correct labels a time-consuming task. To address these issues, we focus on semi-supervised few...

The rapid promotion of online social networks and the unprecedented enthusiasm Internet users have led to a sharp increase in user-generated content. Understanding user behavior behind various content is challenging task. impact user's personality traits on an issue we want explore. This article combines survey data with Facebook's data. We explore from four aspects: topic preferences, expression patterns, sentiment states cognition styles. experimental results show that networks, will...

Purpose This study aims to investigate the impact of board skill diversity (BSD) on corporate environmental responsibility (CER). In addition, this explores moderating effects formal regulatory pressure and informal media pressure. Design/methodology/approach uses Chinese high polluting companies as sample regression analysis. Robustness checks, including instrumental variable regression, Heckman two-stage model propensity score matching method, are performed test robustness results....

Tryptophol (IET) is a metabolite derived from L-tryptophan that can be isolated plants, bacteria, and fungi has wide range of biological activities in living systems. Despite the fact IET biosynthesis pathways exist naturally organisms, industrial-scale production its derivatives solely based on environmentally unfriendly chemical conversion. With diminishing petroleum reserves significant increase global demand all major commercial segments, it becomes essential to develop new technologies...

With the accelerated technology development, technological trend forecasting through patent mining has become a hot issue for high-tech companies. In this term, extensive attention been attracted to knowledge flows (TKF), i.e., predicting directional of from one field another. However, existing studies either rely on labor intensive empirical analysis or do not consider intrinsic characteristics inherent in TKF, including double-faced aspects (i.e., act as both source and target) nodes,...