Distributed Stochastic Optimization with Compression for Non-Strongly Convex Objectives

We are investigating the distributed optimization problem,where a network of nodes works together to minimize a global objective that is a finite sum of their stored local functions.Since nodes exchange optimization parameters through the wireless network,large-scale training models can create communication bottlenecks,resulting in slower training times.To address this issue,CHOCO-SGD was proposed,which allows compressing information with arbitrary precision without reducing the convergence rate for strongly convex objective functions.Nevertheless,most convex functions are not strongly convex(such as logistic regression or Lasso),which raises the question of whether this algorithm can be applied to non-strongly convex functions.In this paper,we provide the first theoretical analysis of the convergence rate of CHOCO-SGD on non-strongly convex objectives.We derive a sufficient condition,which limits the fidelity of compression,to guarantee convergence.Moreover,our analysis demonstrates that within the fidelity threshold,this algorithm can significantly reduce transmission burden while maintaining the same convergence rate order as its no-compression equivalent.Numerical experiments further validate the theoretical findings by demonstrating that CHOCO-SGD improves communication efficiency and keeps the same convergence rate order simultaneously.And experiments also show that the algorithm fails to converge with low compression fidelity and in time-varying topologies.Overall,our study offers valuable insights into the potential applicability of CHOCO-SGD for non-strongly convex objectives.Additionally,we provide practical guidelines for researchers seeking to utilize this algorithm in real-world scenarios.

Transforming Education with Photogrammetry:Creating Realistic 3D Objects for Augmented Reality Applications

Augmented reality(AR)is an emerging dynamic technology that effectively supports education across different levels.The increased use of mobile devices has an even greater impact.As the demand for AR applications in education continues to increase,educators actively seek innovative and immersive methods to engage students in learning.However,exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational integration.Concurrently,this surge in demand has prompted the identification of specific barriers,one of which is three-dimensional(3D)modeling.Creating 3D objects for augmented reality education applications can be challenging and time-consuming for the educators.To address this,we have developed a pipeline that creates realistic 3D objects from the two-dimensional(2D)photograph.Applications for augmented and virtual reality can then utilize these created 3D objects.We evaluated the proposed pipeline based on the usability of the 3D object and performance metrics.Quantitatively,with 117 respondents,the co-creation team was surveyed with openended questions to evaluate the precision of the 3D object created by the proposed photogrammetry pipeline.We analyzed the survey data using descriptive-analytical methods and found that the proposed pipeline produces 3D models that are positively accurate when compared to real-world objects,with an average mean score above 8.This study adds new knowledge in creating 3D objects for augmented reality applications by using the photogrammetry technique;finally,it discusses potential problems and future research directions for 3D objects in the education sector.

Research on the Relationship between the School-Running Characteristics of Private Colleges and Universities and the Development Objectives of the Government

The development objectives of the Chinese government have a guiding effect on the school-running characteristics of private colleges and universities.This paper explores the relationship between the characteristics of private colleges and universities and the development objectives of the provincial government,using Jiangsu Province as a case study.All the schools have the consciousness of fully considering the development objectives of Jiangsu Province when formulating the school-running characteristics.Their characteristics all contain some training methods,training courses,or institutional construction aiming at the development objectives.Most universities can support the government’s objectives on employment and innovation.Only a third of the schools provide government support for science research.Private colleges and universities should make full use of the free and flexible advantages of private education,combine them with the continuous changes of policies and markets,and create clear,scientific,and dynamic school-running characteristics,in order to achieve long-term development.

Objectives of and Approaches to Ecological City Construction

It has become a trend of the city development in the world to build up the ecological city with an ecological system that is balanced in structure,high-efficient in service function.Taking Suzhou as a case,the authors believe that the construction of an ecological city is a process of the progressive and well-organized systematic development and of the ecological function consummation,which will require five stages to complete,including ecological hygiene,ecological security,ecological industry,ecological landscape,and ecological culture.The problems presently encountered in the construction of ecological city in Suzhou can be solved through the following approaches:(1) To rebuild the relationship between man and nature when the planning is worked out;(2) To observe the principle of ecology in city design;(3) To choose the local plant species in city afforestation;(4) To choose those plantlets with vigorous growth,good shape,and high survival rate,observing the growth rule of plant and paying much attention to forest landscape,ecological system and biological diversity,rationally allocating the plant species resources;(5) To aim at the implementation of the less-labor management even the zero-labor management.

Brief Discussion on Specific Grading of Teaching Objectives In Implementing Grade English Teaching——Take Section A,Unit 6(Go for it! SB for Grade Eight,Volume A,by Peopole’s Education Press and Thomson Learning,2004,2nded)

With the reform booming in teaching fields,the author carried out Graded English teaching in her teaching classroom and achieved favorable efficiency.In this paper,the author mainly discusses the specific grading of teaching objectives in implementing graded teaching.

Objectives and Strategies of Online Public Opinion Analysis on Quality and Safety of Agricultural Products

Agriculture is the foundation of the national economic development and is the basic production and living of human society.In recent years,the development of Internet technology provides information sharing platform for people,and more and more people begin to pay close attention to the dynamic of agricultural production and related industries,especially the quality and safety of agricultural products,much attention has been paid to safety issues.In view of its importance and closeness to the daily life of the public,it is necessary to pay great attention to the mass public opinions on the quality and safety of agricultural products,find out the crux of the problem through scientific research and judgment,and respond to the public questions in a timely manner.In this way,the value of relevant public opinion information can be utilized to provide an important basis for relevant departments to make correct decisions.

Constraints Adjustment and Objectives Coordination of Satisfying Optimal Control Applied to Heavy Oil Fractionators

In this paper, the feasibility and objectives coordination of real-time optimization (RTO) are systemically investigated under soft constraints. The reason for requiring soft constraints adjustment and objective relaxation simultaneously is that the result is not satisfactory when the feasible region is apart from the desired working point or the optimization problem is infeasible. The mixed logic method is introduced to describe the priority of the constraints and objectives, thereby the soft constraints adjustment and objectives coordination are solved together in RTO. A case study on the Shell heavy oil fractionators benchmark problem illustrating the method is finally presented.

Accounting Objectives and Reporting System Construction of Managerial Accounting in China

The purpose of this paper is to propose an innovation system of managerial accounting reports, which is actually on the basis of accounting objectives. On the one hand, as managerial accounting is one important branch of accounting(the other important branch is financial accounting), some of its characters should be closely connected with accounting. On the other hand, managers need managerial accounting information for enterprise operation(especially for internal management control) decisions, so, managerial accounting should also be in accordance with the enterprise's operation and its management control. Therefore, combined with the existed research of accounting(especially financial accounting research) and for the development requirement of Chinese enterprises, this paper will mainly discuss the relation between accounting objectives and managerial accounting's system and put forward an idea of constructing an applicable reporting system of managerial accounting based on the operation mode in Chinese modern enterprises. This study will develop the accounting reports research(including external reports and internal reports) both in the field of theory and that of practice.

Development Progress of China’s First Mars Exploration Mission:Its Scientific Objectives and Payloads

China’s first Mars exploration mission is scheduled to be launched in 2020.It aims not only to conduct global and comprehensive exploration of Mars by use of an orbiter but also to carry out in situ observation of key sites on Mars with a rover.This mission focuses on the following studies:topography,geomorphology,geological structure,soil characteristics,water-ice distribution,material composition,atmosphere and ionosphere,surface climate,environmental characteristics,Mars internal structure,and Martian magnetic field.It is comprised of an orbiter,a lander,and a rover equipped with 13 scientific payloads.This article will give an introduction to the mission including mission plan,scientific objectives,scientific payloads,and its recent development progress.

Closed-loop supply chain network equilibrium strategy model with environmental protection objectives

With the increasing popularity of ecological civilization and sustainable development,enterprises should consider environmental protection measures in their operations in addition to pursue their economic interests.This paper establsihes a closed-loop supply chain network model composed of multiple suppliers,manufacturers,retailers,recyclers,and demand markets—regarding their dual goals of the profit maximization and the minimization of carbon emissions.The conditions necessary for establishing overall equilibrium and an equilibrium model of the entire closed-loop supply chain network are determined by applying variational inequality and dual theory.A modified projection contraction algorithm is used to design a model-solving program.Finally,using numerical examples,the paper conducts a comparative static analysis on important parameters such as the weight coefficients of environmental protection objectives and consumers'awareness of low-carbon environmental protection and attains some beneficial enlightenment on management.The results indicate that when the environmental protection objectives of a certain type of enterprise increases,both the economic benefits and environmental protection performance will improve;when the environmental protection objectives of all enterprises increases simultaneously,environmental protection performance improves significantly,but the changes in economic benefits of different enterprises are inconsistent and profit coordination is more complex.Although consumers’awareness of low-carbon preference could improve environmental performance,it reduces the overall profits of network members and the entire closed-loop supply chain network as a whole.The above conclusions can be used as a reference for the government in designing low-carbon environmental protection policy and in closed-loop supply chain research.

Research on the Curriculum Construction by Promoting Teaching Using Competition Based on Bloom's Taxonomy of Educational Objectives

Based on Bloom's taxonomy of educational objectives,this paper puts forward the construction of curriculum system in the primary stage,intermediate stage and advanced stage by promoting teaching using competition,and provides a theoretical and practical basis for the curriculum construction by promoting teaching using competition,which is of great practical significance to promoting the construction of applied universities.

Scientific Objectives and Payloads of Chinese First Mars Exploration

China plans to implement the first Mars exploration mission in 2020. It will conduct global and comprehensive exploration of Mars and high precision and fine resolution detection of key areas on Mars through orbiting, landing and roving. The scientific objectives include studying the Martian morphology and geological structure characteristics, studying the soil characteristics and the water-ice distribution on the Martian surface, studying the material composition on the Martian surface, studying the atmosphere ionosphere and surface climate and environmental characteristics of Mars, studying the physical field and internal structure of Mars and the Martian magnetic field characteristics. The mission equips 12 scientific payloads to achieve these scientific objectives. This paper mainly introduces the scientific objectives, exploration task,and scientific payloads.

Enhancing Dense Small Object Detection in UAV Images Based on Hybrid Transformer

Transformer-based models have facilitated significant advances in object detection.However,their extensive computational consumption and suboptimal detection of dense small objects curtail their applicability in unmanned aerial vehicle(UAV)imagery.Addressing these limitations,we propose a hybrid transformer-based detector,H-DETR,and enhance it for dense small objects,leading to an accurate and efficient model.Firstly,we introduce a hybrid transformer encoder,which integrates a convolutional neural network-based cross-scale fusion module with the original encoder to handle multi-scale feature sequences more efficiently.Furthermore,we propose two novel strategies to enhance detection performance without incurring additional inference computation.Query filter is designed to cope with the dense clustering inherent in drone-captured images by counteracting similar queries with a training-aware non-maximum suppression.Adversarial denoising learning is a novel enhancement method inspired by adversarial learning,which improves the detection of numerous small targets by counteracting the effects of artificial spatial and semantic noise.Extensive experiments on the VisDrone and UAVDT datasets substantiate the effectiveness of our approach,achieving a significant improvement in accuracy with a reduction in computational complexity.Our method achieves 31.9%and 21.1%AP on the VisDrone and UAVDT datasets,respectively,and has a faster inference speed,making it a competitive model in UAV image object detection.

Masked Autoencoders as Single Object Tracking Learners

Significant advancements have beenwitnessed in visual tracking applications leveragingViT in recent years,mainly due to the formidablemodeling capabilities of Vision Transformer(ViT).However,the strong performance of such trackers heavily relies on ViT models pretrained for long periods,limitingmore flexible model designs for tracking tasks.To address this issue,we propose an efficient unsupervised ViT pretraining method for the tracking task based on masked autoencoders,called TrackMAE.During pretraining,we employ two shared-parameter ViTs,serving as the appearance encoder and motion encoder,respectively.The appearance encoder encodes randomly masked image data,while the motion encoder encodes randomly masked pairs of video frames.Subsequently,an appearance decoder and a motion decoder separately reconstruct the original image data and video frame data at the pixel level.In this way,ViT learns to understand both the appearance of images and the motion between video frames simultaneously.Experimental results demonstrate that ViT-Base and ViT-Large models,pretrained with TrackMAE and combined with a simple tracking head,achieve state-of-the-art(SOTA)performance without additional design.Moreover,compared to the currently popular MAE pretraining methods,TrackMAE consumes only 1/5 of the training time,which will facilitate the customization of diverse models for tracking.For instance,we additionally customize a lightweight ViT-XS,which achieves SOTA efficient tracking performance.

Study on complexity of Sutong Bridge's objectives system and its meta-synthesis management

Objectives define the boundaries of complex engineering system.It is a hard work to identify the specific objectives of a complex engineering system.The objectives system development needs a complicated process,from nix to prototype,and to final definition.The total process will cover the following course:from chaos to well-ordered;from qualitativeness to combination of quantitativeness and qualitativenss,then from qualitativeness to quantitativeness(a recurrent process),expert experience and theoretical science,rationality and sensibility,synthesis analysis and meta-synthesis,routinization and non-routinization.Such process is explicit in phase development yet overlapped;mutually confined yet mutually independent;permeated conflicts yet pregnant in harmony.This article explores the complexity of Sutong Bridge's objectives development and the process of meta-synthesis in the Sutong Bridge engineering.

Applications of Chemical Learning Evaluation Based on Bloom＇s Taxonomy of Educational Objectives

In this paper, Law of Conservation of Mass （＂The Law＂）, one content standard of junior middle school chemistry, was decomposed based on The Revision of Bloom＇s Taxonomy of Educational Objectives （＂The Revision＂） and placed in the classification table. In order to understand the teaching objectives more, the relationship between the related activities was studied. Teachers can design the teaching plans based on teaching objective, and determine different evaluations method according to different types of teaching objectives. It will raise students more cognitive activities and promote targeted objectives teaching.

Multiple objectives application approach to waste minimization

Besides economics and controllability, waste minimization has now become an objective in designing chemical processes, and usually leads to high costs of investment and operation. An attempt was made to minimize waste discharged from chemical reaction processes during the design and modification process while the operation conditions were also optimized to meet the requirements of technology and economics. Multiobjectives decision nonlinear programming (NLP) was employed to optimize the operation conditions of a chemical reaction process and reduce waste. A modeling language package-SPEEDUP was used to simulate the process. This paper presents a case study of the benzene production process. The flowsheet factors affecting the economics and waste generation were examined. Constraints were imposed to reduce the number of objectives and carry out optimal calculations easily. After comparisons of all possible solutions, best-compromise approach was applied to meet technological requirements and minimize waste.

A Genetic Algorithm for Single Machine Scheduling with Fuzzy Processing Time and Multiple Objectives

In this paper, by considering the fuzzy nature of the data in real-life problems, single machine scheduling problems with fuzzy processing time and multiple objectives are formulated and an efficient genetic algorithm which is suitable for solving these problems is proposed. As illustrative numerical examples, twenty jobs processing on a machine is considered. The feasibility and effectiveness of the proposed method have been demonstrated in the simulation.

Objectives of Financial Reporting with Chinese Characters

Objectives of financial reporting are not immutable--they are influenced by a variety of factors, such as the economic, legal, political, and social environment in which financial reporting takes place. As the environmental contexts have changed in China since 1992, objectives of financial reporting have shown even more Chinese characters. In this paper, we focus on these special characters of objectives of financial reporting in China. In order to understand the objectives featured by Chinese characters, we are trying to find the hidden relationships between the objectives and environmental contexts. Our research shows that many researchers have already tried to establish objectives of financial reporting with Chinese characters, however current studies do have their limitations, and further studies should be done.

Needs Analysis And Objectives Setting in Curriculum Designing——with Special

On the basis of a detailed introduction to the concept of language learners’needs, this paper illustrates the importance of needs analysis, both pre course analysis and ongoing analysis, in curriculum designing. By doing so, teachers can not only collect factual information for the purpose of setting broad goals related to language content; but also gather information about learners which can be used to guide the learning process once it’s under way. Learners, on the other hand, can be aware of their own learning under the direction of the specified objectives.