发展电子商务,推进国家信息化

电子商务概念和内涵不断地充实和扩展，已成为当前信息化的重要内容，并推动着工业社会向信息社会转变。因此，通过电子商务，以服务带动产品，已成为为业界领头企业的发展战略。我国要根据自己的国情，积极稳妥地推进电子商务在我国的发展。上关政策和措施即将出台试点工作正在展开，认证机构等相关部门及配套法律正在研究和建设之中。     

Informix电子商务解决方案概览

Ｉｎｆｏｒｍｉｘ１９９８年９月成立了支持电子商务和万维网业务环境的部门ｉ．Ｉｎｆｏｒｍｉｘ。该部门为推出完整的电子商务解决方案ｉ．Ｓｅｌｌ以及基于Ｉｎｔｅｒｎｅｔ的企业ｆＷｅｂ管理及发布解决方案ｉ．Ｒｅａｃｈ。此外，它还推出了构成这些解决方案的核心数据库引擎Ｉｎｆｏｒｍｉｘ Ｄｙｍａｍｉｃ Ｓｅｒｖｅｒ．２０００和Ｉｎｆｏｒｍｉｘ Ｉｎｔｅｒｎｅｔ Ｆｏｕｎｄａｔｉｏｎ．２０００。１９９９年９月，     

甲辛酮乳油用于小麦拌种的应用研究

甲辛酮乳油是由甲拌醇，辛硫磷和三唑酮及其有关助剂加工而成的三元混剂。经室内毒力测定证明，对暗黑金龟甲幼虫毒力较强，增效共毒系数为２８１．４。从１９９２年开始，经安徽，河南，等地大田小区试验和生产示范推广，每化顷应用５％乳油１５００毫升拦麦种１５０公手，能很好地控制冬前蛴螬，金针虫等地下害虫的然害，同时控制前期小麦白粉病和叶锈病的发生。     

找准企业文化与思想政治工作的结合点

分析企业文化与思想政治工作的异同,提出企业文化与思想政治工作有机结合的途径与方法。     

在电子商务中实现会员注册

利用ASP技术实现电子商务中的会员注册功能。     

氧化钨薄膜电致变色状态下物相组份及表面形貌变化的研究

通过对直流磁控溅射方法得到ＷＯｘ膜层的电化学和光学性能测试，以及ＸＰＤ和ＳＴＭ的物相，形貌分析，发现该ＷＯｘ膜层具有良好的电致变色性能，原始沉积态ＷＯｘ膜层为非晶态，其着退色状态仍在非晶特性，而晶ＷＯｘ膜层在着色态和退色态之间发生物相组份的可逆变化，且表面形貌有很大差异。     

Optimisation of solar-hydrogen power system for household applications

A numerical method was developed for optimising solar–hydrogen energy system to supply renewable energy for typical household connected with the grid. The considered case study involved household located in Diyala Governorate, Iraq. The solar–hydrogen energy system was designed to meet the desired electrical load and increase the renewable energy fraction using optimum fuel cell capacity. The simulation process was conducted by MATLAB based on the experimental data for electrical load, solar radiation and ambient temperature at a 1-min time-step resolution. Results demonstrated that the optimum fuel cell capacity was approximately 2.25 kW at 1.8 kW photovoltaic power system based on the average of the daily energy consumption of 6.8 kWh. The yearly renewable energy fraction increased from 31.82% to 95.82% due to the integration of the photovoltaic system with a 2.25 kW fuel cell used as a robust energy storage unit. In addition, the energy supply, which is the economic aspect for the optimum system, levelised electricity cost by approximately $0.195/kWh. The obtained results showed that the proposed numerical analysis methodology offers a distinctive property that can be used effectively to optimise hybrid renewable energy systems.     

Modeling of Energy Consumption and Effluent Quality Using Density Peaks-based Adaptive Fuzzy Neural Network

Modeling of energy consumption (EC) and effluent quality (EQ) are very essential problems that need to be solved for the multiobjective optimal control in the wastewater treatment process (WWTP). To address this issue, a density peaks-based adaptive fuzzy neural network (DP-AFNN) is proposed in this study. To obtain suitable fuzzy rules, a DP-based clustering method is applied to fit the cluster centers to process nonlinearity. The parameters of the extracted fuzzy rules are fine-tuned based on the improved Levenberg-Marquardt algorithm during the training process. Furthermore, the analysis of convergence is performed to guarantee the successful application of the DPAFNN. Finally, the proposed DP-AFNN is utilized to develop the models of EC and EQ in the WWTP. The experimental results show that the proposed DP-AFNN can achieve fast convergence speed and high prediction accuracy in comparison with some existing methods.