ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND——Case of Jilin Province

With the rapid development of agricultural informalization in the world, the demand of agricultural information has been a focus in the international agriculture and information fields. Based on the investigation, this paper presented the four characteristics of the demand of agricultural information in China, includingregionality, seasonality, great potential demand and variation in kind and level. The factors infuencing the demand of agricultural information were analyzed by the Optimized Less Square （OLS） method. The result shows that, of all factors influcing agricultural information demand, the most important one is economy, the second is facility of information pass, and knowledge and education of user, credit of agricultural information service system and production situation follow. Taking Jilin Province as an example, this article also elaborated the agricultural information demand status, and deduced the regression model of agricultural information demand and verified it by the survey in rural Jilin.

On-Line Measurement of the Chemical Oxygen Demand in Wastewater in a Pulp and Paper Mill Using Near Infrared Spectroscopy

Although near infrared (NIR) spectroscopy has been evaluated for numerous applications, the number of actual on-line or even on-site industrial applications seems to be very limited. In the present paper, the attempts to produce online predictions of the chemical oxygen demand (COD) in wastewater from a pulp and paper mill using NIR spectroscopy are described. The task was perceived as very challenging, but with a root mean square error of prediction of 149 mg/l, roughly corresponding to 1/10 of the studied concentration interval, this attempt was deemed as successful. This result was obtained by using partial least squares model regression, interpolated reference values for calibration purposes, and by evenly distributing the calibration data in the concentration space. This work may also represent the first industrial application of online COD measurements in wastewater using NIR spectroscopy.

Current Situation of Information Demand of Farmers in Taihang Mountain Area: A Case Study of Pingshan County in Hebei Province

Since the reform and opening-up,economy of mountain areas in China has realized considerable development.However,due to such factors as terrain,traffic,and individual differences,compared with plain and coastal areas,mountain areas still lag far behind.In recent years,informationization construction of China develops rapidly,but it nearly stagnates in mountain rural areas.Information has become an essential factor restricting economic development of rural areas.Based on the survey of current information demand of farmers carried out in Pingshan County in Hebei Province in 2010,this study came up with relevant recommendations,in order to speed up development of rural economic in mountain areas,narrow the regional gap,improve living condition of farmers in mountain areas,and increase income level of farmers in mountain areas.

Demand-aware mobile bike-sharing service using collaborative computing and information fusion in 5G IoT environment

Mobile bike-sharing services have been prevalently used in many cities as an important urban commuting service and a promising way to build smart cities,especially in the new era of 5G and Internet-of-Things(IoT)environments.A mobile bike-sharing service makes commuting convenient for people and imparts new vitality to urban transportation systems.In the real world,the problems of no docks or no bikes at bike-sharing stations often arise because of several inevitable reasons such as the uncertainty of bike usage.In addition to pure manual rebalancing,in several works,attempts were made to predict the demand for bikes.In this paper,we devised a bike-sharing service with highly accurate demand prediction using collaborative computing and information fusion.We combined the information of bike demands at different time periods and the locations between stations and proposed a dynamical clustering algorithm for station clustering.We carefully analyzed and discovered the group of features that impact the demand of bikes,from historical bike-sharing records and 5G IoT environment data.We combined the discovered information and proposed an XGBoost-based regression model to predict the rental and return demand.We performed sufficient experiments on two real-world datasets.The results confirm that compared to some existing methods,our method produces superior prediction results and performance and improves the availability of bike-sharing service in 5G IoT environments.

Analysis and Research on Information Design of the Smart Community Pension Service

In the research on the smart community pension service,it is found that the problems encountered in the promotion of the smart pension can not be solved in the short term because of the lack of information and the acceptance of the intelligent products by the elderly. This paper puts forward the research ideas based on the cognitive characteristics and demand prediction of the specific population. Focusing on the research on the pension needs of people born in the 1960 s or 1970 s,it provides support for the solution of smart pension services in the peak period of aging population in the future.

RESEARCH ON VALUE OF INFORMATION SHARING IN ONE SUPPLIER-MULTIPLE RETAILER SUPPLY CHAIN

Prior research has generally focused on models involving a single or multiple retailers with independent demands. The value of demand information sharing is analyzed in a two-level supply chain involving one supplier-multiple retailer model in which retailer demands may be correlated. Each member in the supply chain forecasts its demand using an AR (1) demand process. Two conditions of the information sharing are considered (1) Without the information sharing, the retailers only communicate their orders to the supplier. (2) With the information sharing, retailers communicate their orders and forecasting models to the supplier. Analyses showthat the reductions of supplier's average inventory and average costs are substantial with the information sharing. However, the retailers donot get direct benefit from the information sharing. The retailers may ask the supplier to reduce the replenishment leadtime, so that the retailers will obtain substantial cost savings and inventory reduction. Both partners may obtain benefits when information sharing and leadtime reduction are implemented together.

Study on individualized information service for the reader in the library based on the network

With the massive increase of digital resource based on the network,it becomes very important that how to help readers acquire the information needed according to the individualized requirement and interest in an accurate,convenient and prompt method. Therefore,it is very urgent to investigate individualized information service of library. In this paper,based on the development of the individualized information service for the reader in the college library,the individualized information service is clarified by using three perspectives,including establishment of individualized information demand model,integration of internal and external resource and protection of the reader privacy. Finally,the corresponding strategy and related measure are presented.

A Diagnostic Method Based on Path Information for Logical Divisible System

The classification of system based on faults is studied. Knowledge representation and reasoning technology are comprehensively discussed for logical divisible system, and then a method, named path information extremum diagnosis method(PIEDM), is proposed.PIEDM considers all nodes' information at one step, and so, has a high efficiency.

Optimization Strategies of Urban Informal Commercial Space under Demand Orientation

Commercial behavior in towns and cities is mainly divided into formal and informal behavior.Rapid urbanization has enabled formal commerce to develop more and more perfectly in towns,basically meeting the living needs of residents. However, because of problems such as urban history and management mechanism, informal commercial behavior formed by floating stallholders and other employed people is widespread in towns. Due to the characteristics of instability, flexibility and richness,informal commerce has gradually developed into an important business to attract residents and tourists. In this paper, the general characteristics of informal commercial behavior in towns, the characteristics of the urban public space bearing this kind of commerce, and residents' demand for informal commercial space were summarized, and then the optimization strategies of this kind of public space were put forward to help towns make full use of their scattered space, create diversified commercial places, and add vitality to urban space while providing residents and tourists with daily life needs and convenience.

计及5G基站及需求响应的综合能源系统日前优化调度

5G基站的大量接入为综合能源系统(IES)的低碳化发展注入了新的活力,通过激励5G基站参与需求响应并将其纳入IES的调度框架,可以有效促进IES的节能减排,并提高IES整体的经济效益。据此,提出了一种考虑5G基站低碳赋能的IES日前调度模型。首先,分析了5G基站内部的基本结构及主要能耗,构建了5G基站与IES系统的灵活互动模型;其次,构建了基于弹性矩阵的价格型需求响应模型以及基于电能-热能相互转换的替代型需求响应模型,并以调度成本最低为目标函数构建了IES日前调度模型;与此同时,针对可再生能源出力的不确定性,采用信息间隙决策理论对其进行处理,进一步构建了IES风险规避鲁棒模型。最后,以某IES系统为例,通过多种典型运行场景验证了所构模型以及所提算法的有效性。

基于Informer神经网络的农产品物流需求预测分析——以华中地区为例

保障农产品物流稳定性即是保障民生问题的关键。对农产品物流需求的预测是合理规划农产品物流稳定性的重要保证。然而,农产品物流需求的预测实际较为复杂,预测过程中会受到各种因素影响。因此,为了保证对农产品物流需求预测的准确性,需要考虑多方面影响因素。本研究以农产品物流需求作为研究对象,利用Informer神经网络构建预测农产品物流需求的神经网络模型,以华中地区河南省、湖北省和湖南省为例,对三省的农产品物流需求进行预测。同时用长短时记忆(Long Short-Term Memory,LSTM)网络和Transformer神经网络对华中三省农产品物流进行需求预测,将三种模型预测结果进行对比。对比结果表明本研究构建的基于Informer神经网络模型预测测试误差平均百分比为3.39%,低于LSTM和Transformer神经网络模型的4.43%和4.35%。并且用该Informer神经网络模型对三省预测出的预测值与实际值结果较为接近,河南省2021年的预测值为4185.33,实际值为4048.1,误差为3.389%;湖北省2021年的预测值为2503.64,实际值2421.78,误差为3.380%;湖南省2021年的预测值,2933.31,实际值为2836.86,误差为3.340%。表明该模型对华中三省的农产品物流需求预测的结果较为准确。三省2023年的预测值高于2021年的预测值。因此,在2021年物流运输配套设施的基础上,必须保证物流运输效率,加强物流运输能力,以满足华中地区日益增长的物流需求。

基于分类算法的定制家具客户需求信息处理

为实现定制家具企业客户需求快速响应,利用机器学习算法(贝叶斯分类、随机森林分类及决策树算法)对定制家具客户订单进行分类实验。选取M企业4852个客户订单,通过客户订单信息划分属性变量及标签变量对客户信息进行编码;并通过准确率、精确率、召回率及F1分数值对客户需求数据进行评价,实验结果:在客户需求信息分类二分类数据集中,贝叶斯分类准确率、精准率及召回率3个性能指标分别比随机森林分类高17.54,34.60和35.45个百分点,比决策树算法高4.67,9.02和15.67个百分点;在客户需求信息分类多分类数据集中,贝叶斯分类的准确率、精准率、召回率及F1分数分别为89.4%,82.2%,93.1%和86.4%,综合4项评价指标比其他两种分类法更优;在二分类及多分类中贝叶斯分类的综合性能更优。据此,本研究提出一种基于贝叶斯分类算法的定制家具客户需求信息分类方法,为定制家具客户需求响应平台设计提供理论支持。

基于CBT+ERG理论的综合交通枢纽运营故障下乘客信息需求偏好

为探讨综合交通枢纽在运营故障情况下,乘客的出行信息需求偏好及其对行为选择的影响。针对现有研究中量表型选择集在量化分析需求关联程度方面的不足,结合CBT+ERG理论将信息需求影响因素分为5类,构建不同信息的多元有序和无序Logit模型和乘客出行行为选择模型。研究发现,综合交通枢纽运营故障下,故障具体位置、影响区域、周边道路状况、车辆重新调度详情以及事故严重程度是乘客最关注的信息;学生群体对各类信息需求较高;出行时长是影响乘客行为选择的主要因素,而车辆调度信息的影响较小。研究成果为城市交通信息管控和个性化信息需求服务提供参考,也为综合交通枢纽在发生运营故障时制定客流疏散调度措施提供科学依据。

Risk-taking path choice behaviors under ATIS in transportation networks with demand uncertainty

A new travel time reliability-based traffic assignment model is proposed to investigate the effects of an advanced transportation information system (ATIS) on drivers' risk-taking path choice behaviours in transportation networks with demand uncertainty. In the model, drivers are divided into two classes. The first class is not equipped with ATIS, while the second class is equipped with ATIS. Different risk-taking path choice behaviours of the two classes are studied, respectively. A corresponding mixed equilibrium traffic assignment model is formulated as a variational inequality problem in terms of path flows, which is solved by a heuristic solution algorithm. Numerical results indicate that the ATIS can influence the drivers' risk-taking path choice behaviours and the total system travel time in transportation networks with demand uncertainty. It is also found that under higher demand levels, the benefits of ATIS for network performance enhancement may be more obvious.

A super-network equilibrium optimization method for operation architecture with fuzzy demands

From the view of information flow, a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level, a command level and a firepower level. Firstly, the optimized conditions of the perceptive level, command level and firepower level are analyzed respectively based on the demand of information relation,and then the information supply-and-demand equilibrium model of the operation architecture super-network is established. Secondly,a variational inequality transformation(VIT) model for equilibrium optimization of the operation architecture is given. Thirdly, the contraction projection algorithm for solving the operation architecture super-network equilibrium optimization model with fuzzy demands is designed. Finally, numerical examples are given to prove the validity and rationality of the proposed method, and the influence of fuzzy demands on the super-network equilibrium solution of operation architecture is discussed.

Research on Innovative Model Based on Solving Demand Pain Points in Software Development

Software development is an important part of computer technology.only by ensuring the applicability and efficiency of the software can it really improve the efficiency of production and life,and truly inject new power into the economic benefits of the industry.As the theoretical basis of software development,the software development model directly determines the quality of software development.In this paper,starting with information technology as an important tool to improve modern management,it brings out the difficulties and pain points in the analysis of software development needs,and first puts forward the software development innovation model for building a composite core users.It takes core users with compound qualities and capabilities as the main line and guides the entire development process to enable both parties to communicate accurately and solve the pain points of demand communication,function optimization and project control to the greatest extent.Exploring application innovation in the software development model can promote innovation in the software industry.

客户数字化转型与企业非效率投资:协同治理还是嬗变失配

将客户数字化转型行为决策纳入企业非效率投资的研究框架中,利用2007—2019年中国深沪A股上市公司披露的前五大客户数据,检验发现:客户数字化转型对企业非效率投资存在正向溢出效应,并且这种正向溢出主要表现为抑制企业过度投资,该结果在一系列稳健性检验后依然成立。进一步研究发现,信息协同和高管治理是客户数字化转型改善企业非效率投资的两个作用渠道,从而证实数字溢出存在协同治理效果。此外,当客企关系性质良好、客企数字差距较大、企业融资约束较高时,客户数字化转型对企业非效率投资的改善效果更好。研究结论不仅肯定了客户数字化转型引致的数字溢出能够改善企业非效率投资,为缓解企业间供需矛盾提供了解决思路;而且发现并验证了供应链数字溢出的协同治理效果,加深了各界对供应链数字溢出的学术认知,具有现实意义和理论价值。

信息安全管理促进企业数字技术创新研究

党的二十大报告明确指出,以新安全格局保障新发展格局。数字技术创新已成为全面数字化背景下构建新发展格局的关键路径,本文从企业数字安全防护实践出发,实证检验了信息安全管理对企业数字技术创新的影响。研究发现,信息安全管理促进了企业数字技术创新,且该促进作用主要源于信息安全管理能够增强企业技术素养需求、增加企业融资机会。进一步地,二者的正向关系并不会随着《网络安全法》的颁布产生异质性,但是对于国有企业以及未设立董事会风险管理委员会的企业,信息安全管理对数字技术创新的促进效果更显著。