Age of Information Based User Scheduling and Data Assignment in Multi-User Mobile Edge Computing Networks:An Online Algorithm

This paper investigates the age of information(AoI)-based multi-user mobile edge computing(MEC)network with partial offloading mode.The weighted sum AoI(WSA)is first analyzed and derived,and then a WSA minimization problem is formulated by jointly optimizing the user scheduling and data assignment.Due to the non-analytic expression of the WSA w.r.t.the optimization variables and the unknowability of future network information,the problem cannot be solved with known solution methods.Therefore,an online Joint Partial Offloading and User Scheduling Optimization(JPOUSO)algorithm is proposed by transforming the original problem into a single-slot data assignment subproblem and a single-slot user scheduling sub-problem and solving the two sub-problems separately.We analyze the computational complexity of the presented JPO-USO algorithm,which is of O(N),with N being the number of users.Simulation results show that the proposed JPO-USO algorithm is able to achieve better AoI performance compared with various baseline methods.It is shown that both the user’s data assignment and the user’s AoI should be jointly taken into account to decrease the system WSA when scheduling users.

Research on Information Architecture Design of Short-Form Video Social Platforms Based on Cognitive Psychology

This study investigates how cognitive psychology principles can be integrated into the information architecture design of short-form video platforms,like TikTok,to enhance user experience,engagement,and sharing.Using a questionnaire,it explores TikTok users’habits and preferences,highlighting how social media fatigue(SMF)impacts their interaction with the platform.The paper offers strategies to optimize TikTok’s design.It suggests refining the organizational system using principles like chunking,schema theory,and working memory capacity.Additionally,it proposes incorporating shopping features within TikTok’s interface to personalize product suggestions and enable monetization for influencers and content creators.Furthermore,the study underlines the need to consider gender differences and user preferences in improving TikTok’s sharing features,recommending streamlined and customizable sharing options,collaborative sharing,and a system to acknowledge sharing milestones.Aiming to strengthen social connections and increase sharing likelihood,this research provides insights into enhancing information architecture for short-form video platforms,contributing to their growth and success.

IAM Excellence: Exploring Saviynt’s Role in Modern Information Technology

Organizations may increase data security and operational efficiency by connecting Salesforce with Identity and Access Management (IAM) systems like Saviynt. This study delves deeply into the details of this revolution that is being encouraged to shift towards IAM software and potential drawbacks such as excessive provisioning and implementation issues. The study illuminated excellent practices and emphasized the importance of constant monitoring by using secondary theme analysis and qualitative research as proof. The findings indicate Saviynt as a viable solution and provide detailed information for firms seeking a smooth and secure integration path.

Short Video Recommendation Algorithm Incorporating Temporal Contextual Information and User Context

With the popularity of 5G and the rapid development of mobile terminals,an endless stream of short video software exists.Browsing short-form mobile video in fragmented time has become the mainstream of user’s life.Hence,designing an efficient short video recommendation method has become important for major network platforms to attract users and satisfy their requirements.Nevertheless,the explosive growth of data leads to the low efficiency of the algorithm,which fails to distill users’points of interest on one hand effectively.On the other hand,integrating user preferences and the content of items urgently intensify the requirements for platform recommendation.In this paper,we propose a collaborative filtering algorithm,integrating time context information and user context,which pours attention into expanding and discovering user interest.In the first place,we introduce the temporal context information into the typical collaborative filtering algorithm,and leverage the popularity penalty function to weight the similarity between recommended short videos and the historical short videos.There remains one more point.We also introduce the user situation into the traditional collaborative filtering recommendation algorithm,considering the context information of users in the generation recommendation stage,and weight the recommended short-formvideos of candidates.At last,a diverse approach is used to generate a Top-K recommendation list for users.And through a case study,we illustrate the accuracy and diversity of the proposed method.

Analysis of the Standardization of Administrative Management in Colleges and Universities Under the Background of Information Technology

In the development of the information age,universities should recognize the significant impact of information technology on their own development.In practice,it is possible to effectively improve the efficiency and quality of work by dealing with and constructing information-based methods,innovating administrative management models,and adopting more efficient and scientific methods to address various problems and shortcomings encountered in work.As an important part of university management,administrative management is a complex task.Establishing a standardized management model through information technology can further improve the comprehensive efficiency of administrative management.In this regard,the administrative standardization in universities under the background of information technology is analyzed and studied in this paper.

Adjusting the information service strategies according to users' requirements—A survey of the library users' information requirements in the four library systems of Zhejiang province

Based on a survey of the circumstances of the information requirements in social science from more than 3,800 library users in 48 libraries of the four major library systems in Zhejiang Province,this paper analyzes the present main characteristics of the users' requirements to the social science document information and puts forward some proposals for adjusting the document information service strategies for the library and information institutions.

A survey of the information needs of visually impaired library users

Purpose:The research aims to investigate the information needs of visually impaired library users in China in order to increase our understanding of these users and help the Chinese public libraries improve their services for them.Design/methodology/approach:A questionnaire survey was used to study the library users’ information needs.Eleven large public libraries in different areas of China,which were pioneers in implementing services for visually impaired people,were chosen to conduct the survey.Data analysis was based on 97 valid questionnaires retrieved.Findings:Radio and television were still the preferred sources of information for visually impaired users.In information seeking,they had a strong preference for obtaining information in the most convenient way,and accessing a vast amount of information,which was updated quickly.They paid more attention to the information closely related to their work and life.Their purposes of seeking information were mainly for learning,relaxation and intercommunication.Visually impaired users felt some barriers in their access to library services such as a lack of time or a sighted companion who can come along for the trip to the library.Moreover,it was difficult for them to use the Internet to search for information,because many websites do not support the auxiliary software designed especially for visually impaired users or the websites offer only a paid subscriber service.Research limitations:A majority of the respondents were young and middle-aged people and engaged in work.The sample size needs to be enlarged,and different groups of users such as old people and students should be included to yield more useful results.Practical implications:The survey results provide insights into the information needs of the Chinese visually impaired library users.Meanwhile,the research can serve as a reference source for the future studies of the service for visually impaired library users.Originality/value:So far,few studies were conducted to investigate the information needs of visually impaired library users in China.

A study of changing information needs of contemporary public library users in China

Public libraries should be vigilant and responsive to the ever changing information needs of their clientele functioning in a society undergoing through rapid change due to technological innovations. China is currently experiencing a social and technological transformation of great magnitude in terms of metamorphosing itself from a traditional society to one that is driven by information technologies. Our research study, taking this proposition into account, did a questionnaire survey on 954 library information users at five major public libraries. This research study has discovered that the information needs of public library users today reflect some of the peculiar characteristics of their society in changing times which is driven largely by the rapid development and application of new information technologies. It shows that there is a newly added demand emphasis on certain categories of library resources and services by the Chinese reading public. Our research findings have identified such needs basically in the following five functional areas of public libraries, namely, 1) Increased demands for economic resources, 2) rising expectations for more effective and efficient library services, 3) a convenient location and an amicable environment congenial to learning, 4) a suitable place for engaging in intellectual dialogues and in socialization, and 5) a few other technological amenities and information technology-based digital resources and facilities in addition to a rich repository of library materials in print format. Finally, our paper concludes its discussion with a few observation remarks about the changing trend of public libraries' visions, missions and operations vis-à-vis a contextual background of the ever heightened public expectations for getting quality information services in a timely manner in order for them to function effectively in an information-oriented society such as that of ours today.

Design of User Interface for Tractor Cab Real-time Information Management System

In this paper,the user interface of tractor cab real-time information management system was designed. Based on the principle of "user friendly",it reasonably arranged spatial position of information management system according to spatial distribution of tractor cab. Then,it analyzed operation habits and thinking ways of drivers,and formulated design principle meeting demands of drivers. Besides,it used LabView software to design user interface,including interface layout and interface design. User interface includes basic information interface,job information interface,camera monitoring interface,and fault diagnosis interface. Finally,it made evaluation of the user interface from color,indicator lamp,dial,and pointer. Results indicate that the designed user interface layout conforms to cognition mentality and operation habits and easy to get familiar and grasp; graphical interface is vivid and easy to stimulate pleasure of drivers in operation; interface color matching is coordinated; the layout of controls is hierarchical and logic,and operating mode is consistent with Windows system.

MULTILEVEL INDEX STRUCTURE FOR INFORMATION FILTERING BASED ON USER CHARACTERISTIC

Aimed at information overload and personalized characteristic of user information requirement, this letter presents a type of multilevel index structure and algorithm which is applied to large scale information filtering system and has better performance and stronger scalability.

On Cultural Background Information and English Teaching of Extensive Reading

This arricle is a research into the relationship between language and culture, cultural elements implied in vocabulary, and the way to widen a student’s ken of cultural background information in Extensive Reading class of English.

AMachine Learning Approach to User Profiling for Data Annotation of Online Behavior

The user’s intent to seek online information has been an active area of research in user profiling.User profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and motivations.Determining user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content presentation.The user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social platforms.However,a combination of multiple behaviors in profiling users has yet to be considered.This research takes a novel approach and explores user intent types based on multidimensional online behavior in information acquisition.This research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine learning.The research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data annotation.User feedback is based on online behavior and practices collected by using a survey method.The participants include both males and females from different occupation sectors and different ages.The data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their characteristics.Different techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of 1136.Feature average is computed to identify user intent type characteristics.The user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on their preferences in online content,platforms,criteria,and frequency.The study also validates the proposed template on user feedback data through Inter-Rater Agreement process using an external human rater.

Information visualization,physicality and intuitive use for tangible user interfaces

In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with digital information. First, this paper exam- ines the existing body of work on tangible user interfaces and discusses their application domains, especially information visualiza- tion. Then it provides a definition of intuitive use and reviews formerly separated ideas on physicality. As interaction has an impact on the overall product experience, we also discuss whether intuitive use influences the users＇ aesthetic judgements of such products.

Impact of user influence on information multi-step communication in a micro-blog

User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influence on the information multi-step communication in a micro-biog. The multi-steps of information communication are divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from the Sina micro-blog is collected to construct the model by means of an approach based on structural equations that uses the Partial Least Squares （PLS） technique. Our experimental results indicate that the dimensions of the number of fans and their authority significantly impact the information of first-step conxrnunication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.

Measurement of Incompatible Probability in Information Retrieval:A Case Study with User Clicks

The incompatible probability represents an important non-classical phenomenon, and it describes conflicting observed marginal probabilities, which cannot be satisfied with a joint probability. First, the incompatibility of random variables was defined and discussed via the non-positive semi-definiteness of their covariance matrixes. Then, a method was proposed to verify the existence of incompatible probability for variables. A hypothesis testing was also applied to reexamine the likelihood of the observed marginal probabilities being integrated into a joint probability space, thus showing the statistical significance of incompatible probability cases. A case study with user click-through data provided the initial evidence of the incompatible probability in information retrieval (IR), particularly in user interaction. The experiments indicate that both incompatible and compatible cases can be found in IR data, and informational queries are more likely to be compatible than navigational queries. The results inspire new theoretical perspectives of modeling the complex interactions and phenomena in IR.

Research on the User Information Optimized Retrieval Technology in Distributed Database

The traditional method first classifies the user information and combines the query method to retrieve the interest information, but neglects to calculate the weight of the user interest information, which leads to the low retrieval accuracy. A retrieval method based on the fuzzy proximity classification technology is proposed. Approximation between the fuzzy sets is used to represent the consistency between the user interest information features, and the consistency calculation formula and the skewness confidence matrix between the user interest information features are given. The fuzzy classification of the user interest information can obtain the most consistent confidence data and eliminate the redundant approximation interference data. The probabilistic model of the information word frequency and the user interest information length calculates the weight of the user interest information, and adjusts the weight formula constantly.

Optimization process of compiling and researching archivesin universities under the background of information sharing

Intemet era, mutual sharing, low cost, unlimited time and geographical restrictions on network dissemination, to the public toprovide a new way of entertainment experience and sharing in the network information resources at the same time, also highlights importantdrawbacks, mainly reflected the contradiction between resource sharing and copyright protection, sharing is often cyber source violated theright to network dissemination of information to the original author. With the rapid development of the Internet, the seriousness of this problemis becoming increasingly prominent. Based on the information construction of university archives management as the center to carry outresearch, improve the service level of university archives from the first two aspects discusses the necessity of the information constructionof the archives management, promoting the development of colleges and universities. Secondly introduces specific measures of realizing theinformatization construction of university archives management and archives management standardization, digitization, archives informationnetwork construction, the archives management personnel to conduct a comprehensive training. The fixed assets of university is an important partof the state-owned assets, and its asset management level is directly related to the safety of state-owned assets, the use efficiency of assets and thepromotion of the teaching and research level in universities. The university fixed assets data information management is an important aspect ofasset management, it provides decision-making basis for the management of fixed assets in colleges and universities, affecting the efficiency ofthe entire asset management.

User satisfaction-based quality evaluation model and survey analysis of network information service

On the basis of user satisfaction,authors made research hypotheses by learning from relevant e-service quality evaluation models.A questionnaire survey was then conducted on some content-based websites in terms of their convenience,information quality,personalization and site aesthetics,which may affect the overall satisfaction of users.Statistical analysis was also made to build a user satisfaction-based quality evaluation system of network information service.

User Selection and Precoding Schemes Based on Partial Channel Information for Broadcast MIMO Systems

Due to the large number of users and the time-varying characteristics of wireless channels, it is very tough to inform the transmitter of full channel information in real multi-user MIMO broadcast systems. On the other hand, the capacity of multi-user systems greatly depends on the knowledge of the channel at the transmitter while this is not always the case in single-user MIMO systems. In this paper, we investigate combined user selection and zero-forcing precoding schemes that use partial channel information, i.e., very low amount of channel information at the base station. We show that while greatly reducing the complexity and channel knowledge feedback load, the proposed schemes preserve the optimality of zero-forcing scheme in term of achievable ergodic sum capacity in limit of large number of active users.