Color Texture Image Inpainting Using the Non Local CTV Model

The classical TV (Total Variation) model has been applied to gray texture image denoising and inpainting previously based on the non local operators, but such model can not be directly used to color texture image inpainting due to coupling of different image layers in color images. In order to solve the inpainting problem for color texture images effectively, we propose a non local CTV (Color Total Variation) model. Technically, the proposed model is an extension of local TV model for gray images but we take account of the coupling of different layers in color images and make use of concepts of the non-local operators. As the coupling of different layers for color images in the proposed model will in-crease computational complexity, we also design a fast Split Bregman algorithm. Finally, some numerical experiments are conducted to validate the performance of the proposed model and its algorithm.

An Research on the Model Design of the Academic Education's Credit Transfer in the Open University

Based on the analyses of the credit bank both at home and abroad, explore the effective way to construct the credit transfer model, find out the main problems in the process of transferring, design a much better model, formulate a new standard for credit transfer and carry out the research on the model design of the academic education's credit transfer in the open university.

Research on the One-Stop Information Service Model for University Library

Following the advent of and continuous progress of technology,computer network and information management have gradually being incorporated into the daily operation and management of university libraries all around the world.The service system of university libraries has also transformed from the conventional reference consulting model into a knowledge-based service model.This transformation has improved the professionalism and individualism of university libraries.Therefore,establishing a competent one-stop information service model has significant and important values.In this work,we analyzed the basic functionalities and the feasibility of one-stop information service model for university libraries.We also discussed in details the construction methodology for different modes,for reference only.

A Sobel-TV Based Hybrid Model for Robust Image Denoising

The traditional Total-Variation algorithm has a good result to de-noise for noise image of small scale details, but it easily losses the details for the image with rich texture and tiny boundary. In order to solve this problem, this paper proposes a Sobel-TV model algorithm for image denoising. It uses TV model to de-noise and uses Sobel algorithm to control smoothness of image, which not only efficiently removes image noise but also simultaneously retail information, such as edge and texture. The experiments demonstrate that the proposed algorithm is simple, practical and generates better SNR, which is an important value to preprocess image.

Optimizing Movement of Students from Hostels to Lecture Rooms in a Potential World Class University Using Transportation Model

Transportation issue is one of the significant zones of utilization of Linear Programming Model. In this paper, transportation model is utilized to decide an ideal answer for the transportation issue in a run of the mill world class university utilizing Covenant University as a contextual analysis. Covenant University is a potential world class University. The quick development of Covenant University Campus over the most recent fourteen years affects its transportation framework. This paper particularly takes a gander at streamlining the time spent by the students moving from their lodgings to lecture rooms. Google guide was utilized to figure the separation and time between every cause and every goal. North-west corner technique, Least Cost strategy and Vogel’s estimation technique were utilized to decide the underlying fundamental plausible arrangement (initial feasible solution) and MODI strategy was utilized to locate the ideal arrangement (optimal solution). The last outcome demonstrates that the development of understudies from hostel to lecture rooms can be streamlined if the total time spent is decreased.

Research on the Development Model of University Archives Cultural Products Based on Deep Learning

The products of an archival culture in colleges and universities are the final result of the development of archival cultural resources,and the development of archival cultural effects in colleges and universities should be an important part of improving the artistic level of libraries.The existing RippleNet model doesn’t consider the influence of key nodes on recommendation results,and the recommendation accuracy is not high.Therefore,based on the RippleNet model,this paper introduces the influence of complex network nodes into the model and puts forward the Cn RippleNet model.The performance of the model is verified by experiments,which provide a theoretical basis for the promotion and recommendation of its cultural products of universarchives,solve the problem that RippleNet doesn’t consider the influence of key nodes on recommendation results,and improve the recommendation accuracy.This paper also combs the development course of archival cultural products in detail.Finally,based on the Cn-RippleNet model,the cultural effect of university archives is recommended and popularized.

Case Study on Hybrid Business Model： KT＇s Olleh TV Skylife

This paper aims to analyze a case of a telecom operator, Korea Telecom （KT）＇s hybrid business model---Olleh TV Skylife （OTS）. This case is KT＇s new hybrid network and set-top-box （STB） which combines Internet Protocol TV （IPTV） with Direct-To-Home （DTH） satellite reception and business. It serves now as a guideline to better understanding hybrid consumer behavior and their needs. This paper shows how KT＇s OTS has been formulated as a new business model, how it has changed the market structure, and how it has experienced a successful market performance with new business idea and innovative technology. Before analyzing this case, it firstly discusses about the technological situation and the industrial organization （IO） theory. After this, it shows the previous service offerings of cable TV, satellite TV, and IPTV, before launching OTS and shows that the mixed service portfolio of satellite TV and IPTV is the perfect service combination to beat the cable TV in terms of hybrid consumer needs. After explanation about OTS, this paper verifies whether this hybrid business model really changes market and generates a good market performance and operating synergy with KT＇s other businesses of content, network, and marketing. In conclusion, this paper expects future growth potential of OTS and KT Skylife in terms of subscription fee, home shopping, and advertising sales based on the total subscriber base.

Discussion and Reflections on University Library of Subject Knowledge-based Service Model

With the rapid development of computer technology and network technology, the service model of university library gradually goes to the intelligent, personalized directionfrom the traditional single reference, but there are many shortcomings. It cannot fully satisfy the increasing needs for the division Health research and information, it must actively build the University Library subject Knowledge service Model of a science. This paper introduces the subject of service concepts of library knowledge, proposes effective method to build service model of university library knowledge, and strengthens academic knowledge service countermeasures to promote the development of knowledge- disciplinary university library services.

基于L1-TV模型参数自适应的脉冲噪声去除

在医学影像、军事目标识别、网络安全、图像处理等多个领域,由于其严重的噪声干扰和大幅度信号突变,脉冲噪声问题广泛存在。针对受脉冲噪声影响的图像去噪问题,研究基于L1-TV模型去除脉冲噪声方法中的自动选取正则化参数问题。对于约束模型的求解问题,采用原对偶方法进行求解。鉴于模型中正则化参数难确定的问题,提出了一种自动求解正则化参数项的方法,减少了反复实验的次数。实验结果表明,提出的自适应选取模型中正则化参数方法具有鲁棒性,不仅能够去除图像中的脉冲噪声,而且较好地保留图像的边缘及细节信息。

Solving the Olbers’s Paradox, Explaining the “Red-Shift”, and Challenging the Relativities by “Sun Matters Theory” and “Sun Model of Universe”, an Evolution of the Einstein’s Static Universe Model

Olbers’s paradox, known as the dark night paradox, is an argument in astrophysics that the darkness of the night sky conflicts with the assumption of an infinite and eternal static universe. Big-Bang theory was used to partially explain this paradox, while introducing new problems. Hereby, we propose a better theory, named Sun Matters Theory, to explain this paradox. Moreover, this unique theory supports and extended the Einstein’s static universe model proposed by Albert Einstein in 1917. Further, we proposed our new universe model, “Sun Model of Universe”. Based on the new model and novel theory, we generated innovative field equation by upgrading Einstein’s Field Equation through adding back the cosmological constant, introducing a new variable and modifying the gravitationally-related concepts. According to the Sun Model of Universe, the dark matter and dark energy comprise the so-called “Sun Matters”. The observed phenomenon like the red shift is explained as due to the interaction of ordinary light with Sun Matters leading to its energy and frequency decrease. In Sun Model, our big universe consists of many universes with ordinary matter at the core mixed and surrounded with the Sun Matters. In those universes, the laws of physics may be completely or partially different from that of our ordinary universe with parallel civilizations. The darkness of night can be easily explained as resulting from the interaction of light with the Sun Matters leading to the sharp decrease in the light intensity. Sun Matters also scatter the light from a star, which makes it shining as observed by Hubble. Further, there is a kind of Sun Matters named “Sun Waters”, surrounding every starts. When lights pass by the sun, the Sun Waters deflect the lights to bend the light path. According to the Sun Model, it is the light bent not the space bent that was proposed in the theory of relativities.

Dark Matter and Dark Energy from Lattice Model of Universe

The article considers a conceptual universe model as a periodic lattice (network) with nodes defined by the wave function in a background-independent Hamiltonian based on their relations and interactions. This model gives rise to energy bands, similar to those in semiconductor solid-state models. In this context, valence band holes are described as dark matter particles with a heavy effective mass. The conducting band, with a spontaneously symmetry-breaking energy profile, contains particles with several times lighter effective mass, which can represent luminous matter. Some possible analogies with solid-state physics, such as the comparison between dark and luminous matter, are discussed. Additionally, tiny dark energy, as intrinsic lattice Casimir energy, is calculated for a lattice with a large number of lattice nodes.

Hubble Tension Explanation from This Cosmological Model AΛΩ (Slow Bang Model, SB)

In this article we present a model of Hubble-Lemaître law using the notions of a transmitter (galaxy) and a receiver (MW) coupled to a model of the universe (Slow Bang Model, SB), based on a quantum approach of the evolution of space-time as well as an equation of state that retains all the infinitesimal terms. We find an explanation of the Hubble tension H0. Indeed, we have seen that this constant depends on the transceiver pair which can vary from the lowest observable value, from photons of the CMB (theoretical [km/s/Mpc]) to increasingly higher values depending on the earlier origin of the formation of the observed galaxy or cluster (ETG ~0.3 [Gy], ~74 [km/s/Mpc]). We have produced a theoretical table of the values of the constant according to the possible pairs of transmitter/receiver in the case where these galaxies follow the Hubble flow without large disturbance. The calculated theoretical values of the constant are in the order of magnitude of all values mentioned in past studies. Subsequently, we applied the models to 9 galaxies and COMA cluster and found that the models predict acceptable values of their distances and Hubble constant since these galaxies mainly follow the Hubble flow rather than the effects of a galaxy cluster or a group of clusters. In conclusion, we affirm that this Hubble tension does not really exist and it is rather the understanding of the meaning of this constant that is questioned.

A Blind Spot in the Reframing of a Universe of Possibles: Towards a Suitable Model for Decision-Making Theory and A.I.

Bayesian inference model is an optimal processing of incomplete information that, more than other models, better captures the way in which any decision-maker learns and updates his degree of rational beliefs about possible states of nature, in order to make a better judgment while taking new evidence into account. Such a scientific model proposed for the general theory of decision-making, like all others in general, whether in statistics, economics, operations research, A.I., data science or applied mathematics, regardless of whether they are time-dependent, have in common a theoretical basis that is axiomatized by relying on related concepts of a universe of possibles, especially the so-called universe (or the world), the state of nature (or the state of the world), when formulated explicitly. The issue of where to stand as an observer or a decision-maker to reframe such a universe of possibles together with a partition structure of knowledge (i.e. semantic formalisms), including a copy of itself as it was initially while generalizing it, is not addressed. Memory being the substratum, whether human or artificial, wherein everything stands, to date, even the theoretical possibility of such an operation of self-inclusion is prohibited by pure mathematics. We make this blind spot come to light through a counter-example (namely Archimedes’ Eureka experiment) and explore novel theoretical foundations, fitting better with a quantum form than with fuzzy modeling, to deal with more than a reference universe of possibles. This could open up a new path of investigation for the general theory of decision-making, as well as for Artificial Intelligence, often considered as the science of the imitation of human abilities, while being also the science of knowledge representation and the science of concept formation and reasoning.

Exploration of the Construction and Path Selection of the Deep Integration Model of Industry-Education in Universities

Against the backdrop of continuous development in the field of education,universities are encouraged to innovate their talent cultivation systems and objectives.The deep integration of industry and education has emerged as an effective strategy,aligning with the basic requirements of the new engineering education initiative and exerting a positive impact on socioeconomic development.However,an analysis of the current state of industry-education integration in universities reveals several issues that require optimization,affecting the ultimate effectiveness of integration.To optimize this phenomenon and achieve high-quality development,universities need to further explore the construction of a deep integration model of industry and education,adhering to corresponding principles to form a comprehensive system.On this basis,pathways for deep industry-education integration can be summarized.

一种无回跳特性TVS的快速建模方法及验证

瞬态抑制二极管是一种常见的电磁防护器件,在静电防护、浪涌防护、强电磁脉冲防护中有着广泛应用,其瞬态行为对于指导电磁防护设计具有重要意义,但市面上一般没有现成可用的模型。文中基于ADS软件建立一种无回跳特性TVS的仿真模型,使用复杂度较低的TVS模型框架。在建模过程中,分析了模型参数对于精度的影响,并利用S参数测试方法和TLP测试方法获取实测数据,最终构建了两款TVS的完整仿真模型。模型验证结果表明,该模型仿真与实测数据在TVS未工作、即将工作和进入工作状态时都较为一致,仿真与实测误差最大不超过10%,说明其精度足够支撑TVS瞬态仿真。所建立的模型可直接用于TVS的瞬态仿真,该方法也可用于其他无回跳特性TVS的模型构建,为电磁防护设计提供支持。

A Survey Study on TPACK Framework for Normal Students of English Major in Ethnic Colleges and Universities:Empirical Analysis Based on Structural Equation Modeling

With the continuous advancement of education informatization,Technological Pedagogical Content Knowledge(TPACK),as a new theoretical framework,provides a novel method for measuring teachers’informatization teaching ability.This study takes normal students of English majors from three ethnic universities as the research object,collects relevant data through questionnaires,and uses structural equation modeling to conduct data analysis and empirical research to investigate the differences in the TPACK levels of these students at different grades and the structural relationships among the elements in the TPACK structure.The technological pedagogical knowledge element of the TPACK structure was not obtained by exploratory factors analysis but through path analysis and structural equation modeling,the results show that the one-dimensional core knowledge of technological knowledge(TK),content knowledge(CK),and pedagogical knowledge(PK)have a positive effect on the two-dimensional interaction knowledge of technological content knowledge(TCK)and pedagogical content knowledge(PCK);furthermore,TCK and PCK have a positive effect on TPACK;and TK,CK,and PK indirectly affect TPACK through TCK and PCK.On this basis,suggestions are provided to ethnic colleges and universities to develop the TPACK knowledge competence of normal students of English majors.

JWST Discoveries and the Hypersphere World-Universe Model: Transformative New Cosmology

Twenty-six years ago, a small committee report built upon earlier studies to articulate a compelling and poetic vision for the future of astronomy. This vision called for an infrared-optimized space telescope with an aperture of at least four meters. With the support of their governments in the US, Europe, and Canada, 20,000 people brought this vision to life as the 6.5-meter James Webb Space Telescope (JWST). The telescope is working perfectly, delivering much better image quality than expected [1]. JWST is one hundred times more powerful than the Hubble Space Telescope and has already captured spectacular images of the distant universe. A view of a tiny part of the sky reveals many well-formed spiral galaxies, some over thirteen billion light-years away. These observations challenge the standard Big Bang Model (BBM), which posits that early galaxies should be small and lack well-formed spiral structures. JWST’s findings are prompting scientists to reconsider the BBM in its current form. Throughout the history of science, technological advancements have led to new results that challenge established theories, sometimes necessitating their modification or even abandonment. This happened with the geocentric model four centuries ago, and the BBM may face a similar reevaluation as JWST provides more images of the distant universe. In 1937, P. Dirac proposed the Large Number Hypothesis and the Hypothesis of Variable Gravitational Constant, later incorporating the concept of Continuous Creation of Matter in the universe. The Hypersphere World-Universe Model (WUM) builds on these ideas, introducing a distinct mechanism for matter creation. WUM is proposed as an alternative to the prevailing BBM. Its main advantage is the elimination of the “Initial Singularity” and “Inflation”, offering explanations for many unresolved problems in Cosmology. WUM is presented as a natural extension of Classical Physics with the potential to bring about a significant transformation in both Cosmology and Classical Physics. Considering JWST’s discoveries, WUM’s achievements, and 87 years of Dirac’s proposals, it is time to initiate a fundamental transformation in Astronomy, Cosmology, and Classical Physics. The present paper is a continuation of the published article “JWST Discoveries—Confirmation of World-Universe Model Predictions” [2] and a summary of the paper “Hypersphere World-Universe Model: Digest of Presentations John Chappell Natural Philosophy Society” [3]. Many results obtained there are quoted in the current work without full justification;interested readers are encouraged to view the referenced papers for detailed explanations.

一种基于TV模型的自适应图像修复方法

图像修复是数字图像处理的重要内容,可用于被损坏的图像和视频修复、视频文字去除以及视频错误隐藏等。基于TV模型的修复方法有较好的恢复效果,但对参数的选取比较敏感,且运算量较大。本文提出了一种基于TV模型的自适应图像修复方法,与原方法相比可以有效提高该算法的稳健性,并能显著的减少运算时间。

改进的TV-Stokes图像修复模型及其算法

该文在研究图像修复的基础上,提出了一种改进的TV-Stokes图像修复模型。通过分析新模型的性质,给出一种高效且快速的数值算法。由于新模型耦合了两个变量,因此新算法首先采用交替迭代策略化原问题为两个去耦的次问题,然后再对两个次问题分别利用对偶方法和分裂Bregman方法进行数值求解。实验结果表明该文所提出的算法不但修复图像的效果较好,而且修复的速度较快。

A universal thermodynamic model of calculating mass action concentrations for structural units or ion couples in aqueous solutions and its applications in binary and ternary aqueous solutions

A universal thermodynamic model of calculating mass action concentrations for structural units or ion couples in ternary and binary strong electrolyte aqueous solution was developed based on the ion and molecule coexistence theory and verified in four kinds of binary aqueous solutions and two kinds of ternary aqueous solutions. The calculated mass action concentrations of structural units or ion couples in four binary aqueous solutions and two ternary solutions at 298.15 K have good agreement with the reported activity data from literatures after shifting the standard state and concentration unit. Therefore, the calculated mass action concentrations of structural units or ion couples from the developed universal thermodynamic model for ternary and binary aqueous solutions can be applied to predict reaction ability of components in ternary and binary strong electrolyte aqueous solutions. It is also proved that the assumptions applied in the developed thermodynamic model are correct and reasonable, i.e., strong electrolyte aqueous solution is composed of cations and anions as simple ions, H2O as simple molecule and other hydrous salt compounds as complex molecules. The calculated mass action concentrations of structural units or ion couples in ternary and binary strong electrolyte aqueous solutions strictly follow the mass action law.