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.

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。

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.

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。

基于跨链技术的食品供需网信息共享激励模式构建

随着食品种类多元化和消费者需求的提升,食品生产流程更加复杂,供应链之间交流越来越多,相关企业、食品供应链和行业机构之间的交互形成了复杂的食品供需网结构。食品供需网成员之间信息共享有利于企业之间充分合作实现长期发展,但仍有许多企业共享信息意识较弱,无法进行有效信息沟通。区块链跨链技术的应用和发展,为食品供需网信息共享提供了新思路。根据食品供需网复杂性,引入区块链技术和声誉激励机制,将声誉进行量化管理,结合区块链智能合约技术实现声誉激励机制自动化。进一步引入区块链跨链技术,打破不同行业、地区区块链之间的交易壁垒,构建基于区块链跨链技术的食品供需网信息共享声誉激励模式,以猪肉供需网为例阐述跨链信息共享声誉激励流程。该激励模式不仅保障共享信息安全性与准确性,同时保护企业隐私,最大程度保护交易方自身利益,破解信息无法共享的障碍,激发食品供需网企业参与信息共享积极性。不仅实现食品供需网内部异构区块链之间的信息交流和价值互通,还为食品供需网价值信息交流互通的发展提供新思路。

航空摄影统筹共享管理技术设计

针对航空摄影统筹共享管理缺乏有效技术手段的问题,在分析当前技术现状和技术要求的基础上,提出了建立综合管理系统开展航空摄影“事前-事中-事后”全流程在线统筹共享管理的技术思路,设计了航摄统筹共享管理的工作流程、系统组成、数据流与接口,详细阐述了“事前”开展航摄需求技术统筹;“事中”进行航摄信息可视化在线共享;“事后”实现航摄成果目录信息快速更新等技术内容。研究成果可为实现全国航空摄影“一获多用”与信息及时共享提供新的解决方案。

面向光电材料专业创新需求的课程教学模式探索——以“薄膜材料技术与物理”课程为例

为给半导体行业国产装备的替代研发、攸关国家战略安全的关键“卡脖子”技术突破提供人才储备,按照卓越创新人才培养目标,根据学科特色,通过与专业知识有机结合,调整教学内容,改进教学方法,培养学生的思维能力和应用能力,培养满足光电功能与信息材料类学科创新需求的卓越人才。通过教学改革,建立完整的,符合高端化、国际化、工程化培养要求的,适合光电功能与信息材料类学科创新需求的课程教学模式。改革成果将对光电功能与信息材料类专业的其他专业基础课程以及其他高校光电功能与信息材料类专业的教学改革具有重要的参考价值。

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。

考虑横向渠道冲突的需求信息共享实现机制研究

在制造商的直营渠道与零售商的零售渠道销售商品的市场中,两者存在冲突与合作的关系,零售商在获得有利于销售的消费者信息后,受到消费者搭便车行为的影响,会面临是否将信息共享给制造商的选择,制造商则面临是否将由零售商提供消费者信息所获得的利润增加额分享给零售商的选择。本研究通过建立博弈模型,分析了信息预测精度、信息共享系数、收益共享系数对两个渠道商利润的影响,进而提出收益共享契约。研究表明:零售商向制造商共享需求信息时,能实现消费者搭便车情形下渠道各方收益双赢,制造商主动向零售商分享自身收益有利于实现零售商的信息共享。最后,通过算例对研究结论进行了直观的说明,同时也通过消费者的视角证明该机制的可行性和必要性。

信息茧房视域下在线问答社区用户健康信息需求对比研究

信息获取途径的固化是促使信息茧房形成的重要原因之一,本研究旨在让社区了解用户的健康信息需求热点,并为社区信息治理和社区间信息整合提供参考,减少信息茧房对网络信息空间治理带来的负面影响。借助主题词提取和文本共现网络构建等自然语言处理技术,利用不同类型在线问答社区中真实的用户提问数据,分析用户健康信息需求热点,并对其需求特征的异同进行对比分析。实验结果表明:一方面,综合型与垂直型在线问答社区对于疾病的基础病理知识、药物信息以及饮食方面的关注度较高,且均具有适老化需求。另一方面,综合型在线问答社区对于疾病的预防关注度较高,而垂直型在线问答社区更加关注于疾病治疗,综合型在线问答社区用户存在情感支持需求,但总体上国内在线问答社区的情感支持需求均不高。

基于多元回归模型的新一代信息技术人才需求预测与分析——以山东省为例

新一代信息技术是战略性新兴产业,作为新旧动能转化的催化剂,人才是其发展必不可少的要素。运用科学的方法做好人才需求预测可为新一代信息技术产业人才规划的制定提供依据。以山东省为例,在深入分析人才需求影响因素的基础上,从宏观与微观两个层面选取指标因素,采用2013—2022年的数据进行检验,预测2023—2025年山东省新一代信息技术人才缺口较大。除要加大人才培养力度外,还需多措并举引进具有科研创新能力的新一代信息技术人才,应从“聚力内培,加强人才培养”与“注重外引,实施人才战略”两方面着手,不断完善山东科研创新人才队伍建设。