数字电视整体转换后的创新

有线电视数字化整体转换已进入全面推广阶段。整体转换后，广电网络运营商如何扩大业务范围。开发多种增值业务，使用户真正体验到数字化的好处并乐意消费，从而提高经营效益，这一切都离不开创新。必须及早进行业务、营销、服务、运营等方面的创新。     

数字电视整体转换后的创新

有线电视数字化整体转换已进入全面推广阶段.整体转换后,广电网络运营商如何扩大业务范围,开发多种增值业务,使用户真正体验到数字化的好处并乐意消费,从而提高经营效益,这一切都离不开创新,必须及早进行业务、营销、服务、运营等方面的创新.     

对有线电视数字化整体转换的多方位分析

有线电视数字化整体转换是广电网络实现业务转型的契机。分析说明整体转换的内涵、客户，以及数字电视、高清电视、广播电视新业务（IPTV等）和计算机互联网等业务的优劣对比，强调通过整体转换建设广电网络数据网，并提出全方位推动整体转换向行业内外争取新政策等五项建议。     

广电总局颁新政 数字电视首对非公资本开放

2005年7月23日消息，7月21日，国家广电总局再出新政，发布《推进试点单位有线电视数字化整体转换的若干意见（试行）》（以下简称《意见》），第一次明确提出。鼓励率先实施数字化整体转换的试点单位，采用联合、合作、投资入股以及兼并等方式，跨地区从事有线电视数字化建设和业务开发。     

融合网络新生活

一业务现状 可以说早在1999年，上海市已经开始“三网融合”业务试点，得益于此，东方有线以宽带业务为主的增值业务收入所占比重近年来持续增长，已近公司主营业务收入的50％。今年，市中心城区数字化整体转换已全面铺开，年底前市中心城区250万用户将全部实现数字化整体转换。     

呼叫中心——高效服务助力整体转换

佛山市是国家广电总局首批确定的33个有线电视数字化整体转换试点城市之一，从2004年开始．佛山市按照国家广电总局《推进试点单位有线电视数字化整体转换的若干意见（试行）》关于”政府领导．广电实施．社会参与．群众认可，整体转换．市场运作”的要求．配合城市信息化建设．全面推进有线电视从模拟向数字化整体转换。经过不断的摸索和思维创新．佛山有线电视网络人创出一条佛山特色的数字化整体转换模式。     

一款适用于“整体转换”的机顶盒信源解码芯片

数字化是广播电视发展的必然趋势，有线数字电视的整体转换则是有线电视在数字化进程中的必由之路。实施有线数字电视整体转换过程中最核心的问题，莫过于大规模转换所使用的机顶盒的价格是否低廉和增值业务能否受到观众欢迎，这也是长期困扰广大有线运营商的最大难题。     

对有线电视数字化整体转换的多方位分析

有线电视数字化整体转换是广电网络实现业务转型的契机.分析说明整体转换的内涵、客户,以及数字电视、高清电视、广播电视新业务(IPTV等)和计算机互联网等业务的优劣对比,强调通过整体转换建设广电网络数据网,并提出全方位推动整体转换向行业内外争取新政策等五项建议.     

大力推进数字电视全业务运营

大连会议后杭州加快了推进有线电视数字化整体转换目前,数字电视用户已达40万,定购交互电视服务的高端用户达到了8万户,今年底有望提前完成杭州市区50万用户的整体转换。大力实施数字化整体转换1、增加组建了二十支整体转换实施小组,并针对现有有线电视整体转换、新建小区数字化、宾馆数字化的不同对象群,实行“分部门受理、统一安装客服”的管理和运作方式,做到业务专门化,服务统一化。2、除现有有线电视用户整体转换外,全面加大了新建小区和宾馆的有线电视数字化转换力度。*新建小区不开通模拟电视,直接数字化。*推出满足宾馆多样化需求的…     

以技术、服务创新推进有线数字电视整体转换工作

为了加快有线电视由模拟向数字化整体转换，使有线电视数字化在短期内迅速形成全网规模，自2005年5月国家广电总局在大连召开全国城市有线电视数字化推进工作现场会以来，大连天途有线电视公司以技术创新和服务创新积极推进数字电视整体转换工作持续、快速、稳步发展，有线数字用户数现在已发展到56万户。     

Knowledge‐Based AOP Framework for Business Rule Aspects in Business Process

In recent years, numerous studies have identified and explored issues related to web‐service‐oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross‐cutting concern that should be distinguished from business process instances. In this paper, we present a rule‐based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language‐based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open‐source‐based products, the Mandarax rules engine and Bexee BPEL engine.     

Implementation of Business Game Activity Support System

Business game can be used not only as an educational tool for the development of decision making ability, but also can be used for supporting the knowledge creation activity in organizations. In this paper, some conceptual considerations to meanings of the business game in the knowledge creation activity by using the knowledge creation theory and other related theories are given, and business game activity concept which refers to game play and development is proposed. Then focusing on the business game activity as an instantiation of the knowledge creation activity, and a Web based gaming activity support system based on the former system called YBG that enables us to play and develop many business games through the standard web browser is proposed. This system also provides us a lot of opportunities to play and develop the business games over business game communities.     

指标模型服务的研究与设计

指标模型服务(iModel)是对信息化企业进行业务角色分析、业务流程分析、关键性能指标评价等一系列业务分析之后,抽取出来的可以为企业创造价值的不同层次的业务活动或功能,这些业务活动或功能可以作为一种可重用的资源。本文主要围绕信息化企业,阐述指标模型服务的内涵及任务,深入研究了指标模型服务的功能及相关业务,重点设计出指标模型服务的整体框架、业务处理流程、抽取-转换-加载(ETL)数据写入流程。可以帮助企业优化业务处理流程,提高信息化业务工作效率,符合当前信息化时代发展需求。     

Business process improvement using multi-objective optimisation

Business process redesign and improvement has become an increasingly attractive subject in the wider area of business process intelligence. Although there have been many attempts to establish a business process redesign framework, there is little work on the actual optimisation of business processes with given objectives. Furthermore, most of the attempts to optimise a business process are manual and do not involve a formal automated methodology. This paper proposes a process improvement approach for automated multi-objective optimisation of business processes. The proposed framework uses a generic business process model that is formally defined. The formal definition of business processes is necessary to ensure that the optimisation will take place in a clearly defined, repeatable and verifiable way. Multi-objectivity is expressed in terms of process cost and duration as two key objectives for any business process. The business process model is programmed and incorporated into a software optimisation platform where a selection of multi-objective optimisation algorithms can be applied to a business process design. This paper outlines a case study of business process design that is optimised by the state-of-the-art multi-objective optimisation algorithm NSGA2. The results indicate that, although business process optimisation is a highly constrained problem with fragmented search space, a number of alternative optimised business processes that meet the optimisation criteria can be produced. The paper also provides directions for future research in this area.     

Intelligent Business Analytics — A Tool to Build Decision-Support Systems for eBusinesses

An important principle in managing any business is ‘What can't be measured, can't be managed’. The complexity of businesses today means that in order to measure business performance one needs to perform considerable analysis of data gathered in vast quantities on a regular basis. Therefore data analysis is at the heart of decision making in all business applications. There is, however, a significant degree of manual intervention in preparing, presenting and analysing business data. Recent advances in intelligent software technology have produced a number of novel techniques to model the human decision-making process. Data analysis tools have in the past been used by businesses mainly as a reactive tool. The pace of change and increased competition means that those businesses that can turn data into information and then into action quickly will have a better chance to survive and out-manoeuvre their rivals. This requires a fundamental change in the way data is used in the enterprise, from a reactive manner to a proactive one. The implications of recent changes can be significant on the level of skilled resources required as well as the cost of such operations. Intelligent software can play an important role in automating the analysis process and up-skill the business users. In this paper we will describe the intelligent business analytics (IBA) platform and two applications developed using it. The paper will focus on soft computing as an emerging technology suitable for incorporation into business analytics applications to model hidden patterns in data and to explain such patterns automatically. This revised version was published online in July 2006 with corrections to the Cover Date.     

Operational risk management with real-time business intelligence

Operational risk is a function of the complexity of the business and the environment that the business operates in. Such complexities increase as the business or the environment become more dynamic, i.e. where change is a permanent feature and a factor to build into the management of the business. The key question that arises is how do businesses respond to such changes today and, if the nature of the business and the environment is becoming more and more dynamic, what actions can businesses take to predict and prepare for change. Viewed in this manner, operational risk becomes very closely related to the operational performance of the enterprise because it can be considered as dealing with changes that have a negative impact on the operational objectives. It is vital for enterprises to understand in real time how they are performing, and where on the spectrum of operational risk they are positioned. To accomplish this, it is essential to have a system for establishing the status of a business at any moment in time in relation to its performance objectives. This is the role of real-time business intelligence (RTBI), without which operational risk management could be out of date, or in some cases out of synchronisation with the business cycle, with serious consequences. This paper discusses the cornerstones of RTBI and demonstrates how these are also essential elements of an effective operational risk management framework.     

基于TVOS机顶盒的业务平台自动访问脚本的开发与应用

有线网络业务平台需要割接或者出现异常时,往往需要从TVOS机顶盒侧来访问或定位问题.然而业务平台大都采用了负载均衡的网络架构,需要TVOS机顶盒能直接访问平台的实体服务器,却缺少相关的访问工具.本文研发了一个基于TVOS机顶盒的自动访问脚本,可根据需求访问业务平台指定的或所有的实体服务器且无需人工操作,能在最短的时间内...     

Business Process Modelling and Design — A Formal Model and Methodology

This paper presents a formal framework for representing enterprise knowledge. The concepts of our framework (objectives and goals, roles and actors, actions and processes, responsibilities and constraints) allow business analysts to capture knowledge about an enterprise in a way that is both intuitive and mathematically formal. It also outlines the basic steps of a methodology that allows business analysts to go from high-level enterprise objectives, to detailed and formal specifications of business processes that can be enacted to realise these objectives. The formal language used means that the specifications can be verified as having certain correctness properties, e.g. that responsibilities assigned to roles are fulfilled, and constraints are maintained as a result of process execution.     

Challenges of business media

The full integration of digital media as a commonly available data type for business applications causes a major transition in computing infrastructure and solution architectures. While many corporate uses of digital media can be handled with the current infrastructure, as the amount and file size of the digital media grows, more than simple capacity improvements need to be implemented. The business needs for media are concrete; the problems we need to address are real. Our community needs to find real solutions too, for high-level semantic analysis, provisioning and management of mixed-media information, and distribution and delivery of media data to satisfy requirements dictated by business scenarios. The paper describe a few scenarios that show how corporations are using digital media to enhance their employee and customer communications, improve the effectiveness and efficiency of business processes, and create new business and revenue opportunities.     

基于电信运营商固网DPI系统的大数据清洗方案探讨

随着大数据时代的到来,传统电信运营商也加入到大数据业务开展的庞大阵营中来。固网DPI系统采集到的HTTP等信息为运营商开展对内、对外的大数据业务提供了重要数据支撑。 由于DPI采集信息中含有大量的垃圾数据,在使用数据前对其进行清洗是非常必要的。文章提出一种针对电信运营商固网HTTP信息的清洗方案,经过现网试点部署验证可到80%以上的清洗率,大大节省了存储空间和网络传输带宽,对运营商开展固网大数据业务具有重要的借鉴意义。