基于业务过程建模的信息安全风险评估

信息安全风险评估中,一般根据资产的表现形式给出分类的资产列表并孤立地为资产赋值,没有考虑到资产对业务的支持和资产之间的关联性。以业务过程建模方法 IDEF0(Integration DEFinition Method 0)为基础,建立层次化的业务过程功能模型,并识别与每个过程功能实现有关的输入、机制、控制三类支持性资产,从而得到以业务过程为中心的层次化的资产关联图。图中的业务过程构成了一个典型的具有内部依赖的递阶层次结构,利用网络分析法可以评估业务过程针对系统总目标的重要性排序,根据所支持的业务过程的重要性及其数量评估支持性资产的重要性。该方法实现了层次化的资产关联、识别与评估,电子购物网站的应用实例证实了此方法的可行性。     

浅谈计算机网络与信息安全系统的建立

计算机网络技术的普及与发展,将人类带进了崭新的时代。随着人们生产生活对网络依赖程度的加深,计算机网络安全的重要性越加凸显,已经引起社会各方面的广泛关注。文章介绍了计算机网络安全威胁的来源类型以及计算机网络软硬件环境的一般性安全防范措施,着重讨论了计算机网络与信息安全系统关键技术。     

校园网安全威胁分类及危害性分析

根据校园网安全威胁的来源及危害程度对校园网安全威胁进行了分类,对校园网中的各种安全威胁进行了统计和聚类分析,根据安全事件发生的频度和危害程度进行了加权处理,分析得出校园网安全威胁及危害排名表,为构建层次型的校园网安全防御模型奠定了数据基础。     

舒城县气象局一次网络故障分析及解决

随着气象事业的快速发展,业务系统对网络的依赖程度也越来越高,网络故障对业务数据的正常传输造成极大威胁,要求网络管理人员必须掌握多种手段,快速查出网络故障的原因,定位网络故障点,及时解决问题。文章以舒城县气象局一次网络故障实例为基础,介绍如何进行故障原因的判断定位并找出解决的具体方法,从而为台站的日常网络管理维护提供参考。     

检验检测技术机构固定资产信息化盘点实现方式

固定资产的盘点是保障资产安全、保证资产账卡物一致性的重要手段,传统固定资产盘点方式高度依赖资产管理人员个人素质,难以实现对资产高效、优质的管理。针对该问题本文基于编码识别技术,依托LIMS系统(实验室信息管理系统)提出了一种固定资产信息化盘点实施方法。     

大陆鞋厂打喷嚏 美国进口原皮患“感冒”

今年春节过后，美国大屠房原皮市场走势引人关注，中国几乎成为美国大屠房原皮最大买主。中国皮革行业对美国原材料以及美国消费市场的双重依赖，使其与美国市场的繁荣兴衰紧密地联系在一起。本文就目前主要影响美国经济的伊拉克局势和威胁国内经济的非典型肺炎流行等非经济因素对中国进几原皮业务的影响作些浅显地探讨。     

基于调研与分析的服装MTM消费市场的思考

通过对服装批量定制(MTM)宁波消费市场的调研,对影响定制业务的各个因素,如需求程度、价格认同度、定制特殊需求、定制期限、定制定金金额、售后服务水平等进行了统计和分析,为企业开展服装MTM业务提供参考。     

复杂天气对空中交通管制指挥的影响探讨

雷雨、风切变和低云低能见度在一定程度上都是威胁飞行安全的复杂天气,同时也是对地面管制指挥工作产生影响的重要诱因。文章综合多年管制指挥经验对加强应急保障措施建设方面等进行了有效的分析和探讨,在一定程度上提出合理的管制指挥以及相关的保障措施。     

ORACLE数据库备份策略

企业信息化程度越高,对业务系统运行过程中产生的各类经营数据依赖就越强,保障数据库的安全,做好数据库备份工作也就成为重要的课题。本文介绍了ORACLE数据库的运行模式、备份方式,及制定数据库备份策略时需要考虑的各类因素,最后对ORACLE数据库的备份策略进行实例介绍。     

3G系统的安全策略分析

介绍了当前3G系统面临的各种威胁和针对3G的攻击方法,如对非授权数据的非法获取、对数据完整性的攻击和对业务的非法访问攻击等.分析了3G系统的安全体系结构和安全特性的优缺点.     

会计电算化在盐业地勘单位固定资产管理中的应用

固定资产是盐业地勘单位开展生产经营及其他业务活动的重要保障,是单位实现良性发展必不可少的有形资产。在新的经济形势下,加强固定资产管理,提高资产使用效率,已成为盐业地勘单位资产管理的一项重要内容。而信息化科技时代的会计电算化固定资产管理,为盐业地勘单位的固定资产良好运用起到了举足轻重的作用。     

Developing an analytic network process model for identifying critical factors to achieve apparel safety

Apparel safety is a key determinant of competitiveness in today’s dynamic and turbulent business environment. Apparel risks may cause catastrophic damages to wearer and result in substantial costs in terms of lost production and emergency recall operations. Identification of user safety indicators associated with apparel design and production is a very complex and critical task. The aim of this paper was to propose an analytic network process (ANP) model that serves to identify critical indicators for achieving apparel safety. This was the first time that this method was used in such a context. First, we constructed a reference framework of the indicators that contribute to achieving apparel safety based on a systematic analysis of the related references. Then, we developed an ANP model that provides a systematic approach to explore and analyze influential relationships between safety indicators and computes a weight to each indicator representing its relative importance. A comparison was conducted between ANP and analytic hierarchy process which shows the differences between the two methods. Finally, managerial implications were presented for apparel firms. The model also provides an efficient evaluating mechanism for safety indicators of apparels in industry.     

基于电子溯源建立食品安全风险评估决策系统

目的实现食品安全风险评估决策工作的高度流程化与自动化,加强各业务部门间的数据融合。方法构建涵盖膳食暴露评估、危害因子评价、时空聚集探测等方法的时态模型库,可自动连接食品溯源各环节基础数据获取相应多种数据,并通过选择的风险评估模型计算得出风险评估结果,构建风险评估矩阵。基于ETL(extract-transform-load)技术和R语言的数据分析算法,集成基础数据仓库、风险评估模型库、风险决策支持系统。结果食品安全风险评估决策系统的建立有效改善传统风险评估工作耗时费力、数据清洗困难的问题,基于对原有风险评估过程的电子化,实现模型输入、计算、输出一体化,融合多年历史监测数据,快速定制常见食品分类中有害因素的风险评估研判场景。结论该系统有助于提高相关业务人员的工作效率,推动跨业务部门间数据交换及协同共享。     

食品中化学有害物质风险定量模型在计算机系统中的实现

目的建立快速、自动化地评估食品中化学有害物质的风险定量模型。方法基于Spring MVC框架,集成食品化学有害物质定量评估模型以及对评估结果的可视化方法。结果形成了一套融合多源数据的食品安全化学有害物质电子化风险评估软件。结论阐述了信息化电子评估系统,实现了食品化学有害物质风险定量评估模型的流程化与自动化,使食品化学有害物质的定量评估模型能够在业务中广泛采用,从而提高了评估的工作效率。     

多维灰聚类法与定性分析在熟肉制品安全风险 评估中的应用

目的 对2015年某省内生产销售的熟肉制品进行检验,并对检验结果进行安全风险评估。方法 对熟肉制品生产过程中容易出现的风险点进行定性分析, 从而确定熟肉制品的风险因素, 利用多维灰色聚类法对影响食品安全的主要风险因素进行定量评估, 探讨影响熟肉制品有害因素的主次关系。结果 评估结果显示抽检中不合格样品大多属于低风险类, 可以得出熟肉制品的食品安全状况属于安全可控状态。结论 该法明确了食品安全风险的等级, 为食品安全控制做出前瞻性、有效性的技术支撑, 对今后风险评估工作的开展具有切实可行的实践意义。     

Financial risk and resiliency on US dairy farms: Measures,thresholds, and management implications

Given the revenue and cost volatility with resulting tight profit margins in dairy farming, it is increasingly important to measure, monitor, and understand farm financial risk. Solvency, liquidity, debt repayment capacity, and financial efficiency measures can reveal potential problem areas and assist in financial risk management. Financial risk is defined as uncertainty about interest rates, willingness of lender to keep or put money into the business, ability to meet cash flow needs, and the market value of collateral. Financial resilience is defined as the ability to withstand events that impact firm net income. Solvency was measured by equity to asset ratio. Liquidity was measured by current ratio. Repayment capacity was measured by debt coverage ratio. Financial efficiency was measured by operational expense ratio and net farm income ratio. Critical thresholds for these farm financial measures include those determined by US agricultural lenders since maintaining access to outside capital is important for farm financial management. To demonstrate these concepts and measure financial risk and resilience, this research uses farm data from a balanced panel of 105 New York dairy farms from 2010 through 2019. Results reveal that there were 4 average, 2 good, and 4 poor financial years for these operations on average as measured by farm profitability. Solvency positions were relatively stable being based on long-term asset and liability values. During the poor years, the percent of farms below danger thresholds for liquidity and debt repayment capacity spiked.     

危险废物处理项目环境影响评价存在的问题及对策

随着经济的发展,工业化生产的危险废物量巨大,危险废物对人类和环境构成了巨大的威胁,危险废物处理能力已不能满足实际需要.如果危险废物处理不当,必然会产生严重的环境污染.因此,建设危险废物处理项目,需要分析危险废物处置和环境影响评价过程中存在的问题,考虑对环境的影响.要关注危险废物环境影响评价,确保提高危险废物处理项目的环境效益.基于此,本文分析了危险废物开展环境影响评价的重要意义,讨论了危险废物项目评价的总体思路,并提出了危险废物处理项目环境影响评价的相关措施.     

Combining participatory,qualitative and quantitative methods for impact assessment of food value chains into an integrated framework

An impact assessment of food-securing upgrading strategies (UPS) can be performed to assess actual and potential UPS effects at the local level. We developed an assessment framework that integrates the main components of the food value chain (FVC), including natural resources, food production, processing, marketing, and consumption. The framework provides a generic template in which different impact assessment approaches can be complementarily integrated and was tested for a case study in Tanzania. The framework employs a structured sequence of steps: (1) context analysis and the development of UPS, (2) the selection and application of assessment approaches and (3) the establishment of food security criteria and UPS effects. To illustrate the flexibility and use of the framework, the inputs of three different impact assessment approaches were considered. First, data from a household survey was applied to provide baseline information at the local level. Second, scientific knowledge was employed to systematically assess the selected UPS. Third, local stakeholder knowledge was considered to identify the local food security constraints and preferences and provide assessments of potential UPS effects. The Framework for Participatory Impact Assessment (FoPIA) approach was utilized to conduct local focus group discussions, and the Scaling Up Assessment Tool for Food Security (ScalA-FS) was employed to gather scientific knowledge about specific UPS impacts. Based on the preliminary results from the framework testing, diverse stakeholder participation was found to be essential for considering local preferences and to engage stakeholders in the assessment process, whereas scientific knowledge and monitoring data were needed to complement the “local picture” with more quantifiable results. The strengths and shortcomings of the framework are discussed.     

Food safety and security and the dose-response

Getting the dose-response right is a critical component in the assessment of chemical food safety. Being able to validate dose-response model predictions in the low-dose zone would be a critical aspect of the assurances that correct decisions about food safety and security are made. The present paper examines the history of the threshold dose-response model and how it became incorporated into governmental regulatory and risk assessment activities, including those affecting chemical food safety. The present analysis reveals that the major risk assessment models used by international regulatory agencies, such as the threshold dose-response model, were never validated prior to their acceptance and use by international regulatory agencies. Furthermore, once they were tested both the threshold and linear dose-response models failed to make accurate predictions in the low-dose zone. The only model providing accurate predictions in the low dose zone was the hormetic dose-response, a model not used by regulatory agencies. The present analysis raises important new questions for the risk assessment process in general and that of chemical food security in particular.