凹版印刷机自动套色系统中预对版的实现

针对凹版印刷机的工作特点，在采用多片80C196KC单片机与一台PC机实现的自动套色系统中，该文在不增加新设备的前提下提出了一种微机实现预对版功能的方法，避免了人工预对版中繁琐和误差大的缺点。在实际应用中证明，该功能不仅提高了凹版印刷机预对版的准确度，而且大大减少预对版过程中纸张、油墨及工时的浪费，带来较大的效益。进一步提高了国内凹版印刷机套色系统的自动化程度。     

促进绿色制造技术扩散的政策模式创新研究

本文旨在探索中国促进绿色制造技术扩散的治理模式和政策工具,探讨完善节能治理模式的新方向。首先,通过文献综述揭示绿色制造技术扩散的障碍,并以全国电机能效提升计划为例,总结各地方政府推广绿色技术的典型政策和措施。采用案例研究方法,分析东莞市针对万台注塑机电机节能改造所面临的困难而采取组合政策和措施,特别是为推动合同能源管理而创新的金融模式。最后,分析了新模式克服绿色技术扩散障碍,达到示范推广效果。其政策体系和新模式将有助于促进战略性新兴产业中节能环保产业的发展。     

基于Vague集的绿色包装设计评价方法

提出了一种基于Vague集相似度量的绿色包装设计的评价方法.基于绿色包装设计的内涵,建立了绿色包装设计的评价指标体系,并基于Vague集相似度量对绿色包装设计的候选方案进行合理性评价,最后给出了应用实例.     

一种绿色包装设计评价方法

目的为了解决绿色包装设计的评价问题,以及科学实现包装"绿色度"的判定。方法介绍绿色包装设计的内涵,并确定相应的评价指标。基于模糊综合评价模型提出一种绿色包装设计评价方法,详细论述因素集、评价集、权重集、隶属度函数的确定方法。通过实例说明具体评价过程。结果算例结果表明,所述评价方法计算过程较简单、区分度较高、评价结果准确。结论该方法可提高绿色包装设计评价的准确性,有利于改善包装设计环保性能。     

Hybrid Swarm Intelligence Based QoS Aware Clustering with Routing Protocol for WSN

Wireless Sensor Networks (WSN) started gaining attention due to its wide application in the fields of data collection and information processing. The recent advancements in multimedia sensors demand the Quality of Service (QoS) be maintained up to certain standards. The restrictions and requirements in QoS management completely depend upon the nature of target application. Some of the major QoS parameters in WSN are energy efficiency, network lifetime, delay and throughput. In this scenario, clustering and routing are considered as the most effective techniques to meet the demands of QoS. Since they are treated as NP (Non-deterministic Polynomial-time) hard problem, Swarm Intelligence (SI) techniques can be implemented. The current research work introduces a new QoS aware Clustering and Routing-based technique using Swarm Intelligence (QoSCRSI) algorithm. The proposed QoSCRSI technique performs two-level clustering and proficient routing. Initially, the fuzzy is hybridized with Glowworm Swarm Optimization (GSO)-based clustering (HFGSOC) technique for optimal selection of Cluster Heads (CHs). Here, Quantum Salp Swarm optimization Algorithm (QSSA)-based routing technique (QSSAR) is utilized to select the possible routes in the network. In order to evaluate the performance of the proposed QoSCRSI technique, the authors conducted extensive simulation analysis with varying node counts. The experimental outcomes, obtained from the proposed QoSCRSI technique, apparently proved that the technique is better compared to other state-of-the-art techniques in terms of energy efficiency, network lifetime, overhead, throughput, and delay.     

EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management

In post disaster scenarios such as war zones floods and earthquakes, the cellular communication infrastructure can be lost or severely damaged. In such emergency situations, remaining in contact with other rescue response teams in order to provide inputs for both headquarters and disaster survivors becomes very necessary. Therefore, in this research work, a design, implementation and evaluation of energy aware rapidly deployable system named EA-RDSP is proposed. The proposed research work assists the early rescue workers and victims to transmit their location information towards the remotely located servers. In EA-RDSP, two algorithms are proposed i.e., Hop count Assignment (HCA) algorithm and Maximum Neighbor Selection (MNS) algorithm. The EA-RDSP contains three types of nodes; the client node sends information about casualty in the disaster area to the server, the relay nodes transmit this information from client node to server nodes via multi-hop transmission, the server node receives messages sent by client node to alert rescue teams. The EAM-RDSP contains three types of nodes; the client node sends information about casualty in the disaster area to the server, the relay nodes transmit this information from client node to server nodes via multi-hop transmission, the server node receives messages sent by client node to alert rescue teams. The proposed EA-RDSP scheme is simulated using NS-2 simulator and its performance is compared with existing scheme in terms of end-to-end delay, message delivery ratio, network overhead and energy consumption.     

Energy Aware Data Collection with Route Planning for 6G Enabled UAV Communication

With technological advancements in 6G and Internet of Things (IoT), the incorporation of Unmanned Aerial Vehicles (UAVs) and cellular networks has become a hot research topic. At present, the proficient evolution of 6G networks allows the UAVs to offer cost-effective and timely solutions for real-time applications such as medicine, tracking, surveillance, etc. Energy efficiency, data collection, and route planning are crucial processes to improve the network communication. These processes are highly difficult owing to high mobility, presence of non-stationary links, dynamic topology, and energy-restricted UAVs. With this motivation, the current research paper presents a novel Energy Aware Data Collection with Routing Planning for 6G-enabled UAV communication (EADCRP-6G) technique. The goal of the proposed EADCRP-6G technique is to conduct energy-efficient cluster-based data collection and optimal route planning for 6G-enabled UAV networks. EADCRP-6G technique deploys Improved Red Deer Algorithm-based Clustering (IRDAC) technique to elect an optimal set of Cluster Heads (CH) and organize these clusters. Besides, Artificial Fish Swarm-based Route Planning (AFSRP) technique is applied to choose an optimum set of routes for UAV communication in 6G networks. In order to validated whether the proposed EADCRP-6G technique enhances the performance, a series of simulations was performed and the outcomes were investigated under different dimensions. The experimental results showcase that the proposed model outperformed all other existing models under different evaluation parameters.     

基于DEA方法的绿色矿山标准效果评估

随着绿色矿山理念深入、绿色矿山全面推广,越来越多的矿山企业申请成为试点单位并且接受验收,这就需要建立绿色矿山建设评价体系加以支持.合理地评价各地区绿色矿山创建标准的投入产出,对于矿山资源的合理开发,提升矿区生态环境质量具有十分重要的现实意义.本文介绍了DEA评价模型的基本特点和评价步骤,建立了绿色矿山标准效果评价指标体系,利用DEA法对绿色矿山标准效果进行评价,分析了DEA评价法的优缺点.     

Suppressing Defects-Induced Nonradiative Recombination for Efficient Perovskite Solar Cells through Green Antisolvent Engineering

Organic–inorganic hybrid perovskites have attracted considerable attention due to their superior optoelectronic properties. Traditional one-step solution-processed perovskites often suffer from defects-induced nonradiative recombination, which significantly hinders the improvement of device performance. Herein, treatment with green antisolvents for achieving high-quality perovskite films is reported. Compared to defects-filled ones, perovskite films by antisolvent treatment using methylamine bromide (MABr) in ethanol (MABr-Eth) not only enhances the resultant perovskite crystallinity with large grain size, but also passivates the surface defects. In this case, the engineering of MABr-Eth-treated perovskites suppressing defects-induced nonradiative recombination in perovskite solar cells (PSCs) is demonstrated. As a result, the fabricated inverted planar heterojunction device of ITO/PTAA/Cs_0.15FA_0.85PbI₃/PC₆₁BM/Phen-NADPO/Ag exhibits the best power conversion efficiency of 21.53%. Furthermore, the corresponding PSCs possess a better storage and light-soaking stability.     

我国工业绿色发展战略研究

绿色发展是我国在发展过程中面对资源约束趋紧、环境污染严重、生态系统退化所必须树立的理念和发展方向。本文通过分析我国近年来工业发展的成就以及面临的挑战,提出了我国工业绿色发展必须推进源头削减和末端治理相结合、持续深化信息技术在工业过程的应用、大力发展循环经济和战略性新兴产业、加快发展生产性服务业等对策和建议。     

基于DEMATEL方法的绿色物流发展关键因素分析

从企业、政府和环境3个方面系统分析了绿色物流发展的影响因素及各关键因素之间的关系,借助决策实验与评价实验室方法,定量地揭示出各因素之间综合影响程度及其影响绿色物流发展的原因度和中心度,找出制约绿色物流发展的绿色法律法规、政府支持、绿色能源利用率、绿色物流标准、环境监管制度等关键因素,最终指出政府在绿色物流发展前期约束与倡导的核心作用,为促进绿色物流事业的发展提供科学的决策依据。     

Energy Efficient Resource Allocation Approach for Renewable Energy Powered Heterogeneous Cellular Networks

In this paper, maximizing energy efficiency (EE) through radio resource allocation for renewable energy powered heterogeneous cellular networks (HetNet) with energy sharing, is investigated. Our goal is to maximize the network EE, conquer the instability of renewable energy sources and guarantee the fairness of users during allocating resources. We define the objective function as a sum weighted EE of all links in the HetNet. We formulate the resource allocation problem in terms of subcarrier assignment, power allocation and energy sharing, as a mixed combinatorial and non-convex optimization problem. We propose an energy efficient resource allocation scheme, including a centralized resource allocation algorithm for iterative subcarrier allocation and power allocation in which the power allocation problem is solved by analytically solving the Karush-Kuhn-Tucker (KKT) conditions of the problem and a water-filling problem thereafter and a low-complexity distributed resource allocation algorithm based on reinforcement learning (RL). Our numerical results show that both centralized and distributed algorithms converge with a few times of iterations. The numerical results also show that our proposed centralized and distributed resource allocation algorithms outperform the existing reference algorithms in terms of the network EE.     

Cooperative wireless networks for better green services

During the last two decades, mobile communication systems (such as GSM, GPRS and 3G networks), wireless broadcasting networks, wireless local area networks (WLAN or WiFi), and wireless sensor networks have been successfully developed and widely deployed through different technological routes for providing a variety of communication services in different application scenarios. While making tremendous contributions to social progress and economic growth, these heterogeneous wireless networks consume a lot of energy in achieving overlapped service coverage, and at the same time, generate strong electromagnetic interference (EMI) and radiation pollution, especially in big cities with high building density and user population. In order to guarantee the overall return on investment (ROI), improve user experience and quality of service (QoS), save energy, reduce EMI and radiation pollution, and enable the sustainable deployment of new profitable applications and services, this paper proposes a cross-network cooperation mechanism to effectively share network resources and infrastructures, and then adaptively control and match multi-network energy distribution characteristics according to actual user/service requirements in different geographic areas. Some idle or lightly-loaded Base Stations (BS or BSs) will be temporally turned off for saving energy and reducing EMI. Initial simulation results show the proposed approach can significantly improve the overall energy efficiency and QoS performance across multiple cooperative wireless networks.     

罐身补涂烘干机能效等级及测试方法研究

本文提出了罐头食品机械中的罐身补涂烘干机能效指标及其测试方法,对罐身补涂烘干机能效测试结果进行了分析,提出了罐身补涂烘干机能效等级划分的建议.     

电水壶能效评价及测试方法研究

针对家庭生活中的典型家电产品电水壶,分析其能效评价的主要考虑因素,给出计算电水壶节能评价值的数学模型,同时给出电水壶能效等级的建议值。提出使用高温维持时间定量描述电水壶热惯性参量。根据电水壶使用的实际情况,给出了电水壶能效评定的详细试验条件,可应用于实际测试过程。