The network perspective and the internationalization of small and medium sized software firms from Syria

This study has employed a case-based approach to explore the relevance of relational factors in explaining the internationalization of six software B2B SMEs from Syria. It contributes by providing rare empirical insights on the internationalization behavior of Middle Eastern SMEs and redressing, albeit slightly, the apparent research gap in the internationalization of knowledge-based SMEs from developing countries. Analysis results suggest the importance of the relational perspective in explaining the initial internationalization, market selection and internationalization speed of the investigated software firms. It emerged that the case firms either reacted to the cross-border opportunities offered by their relational contacts or proactively pursued overseas opportunities through existing and newly developed relationships. Their market entry decisions and internationalization pace also appear to have been influenced by these relationships. Both social and business networks were found to be important, but social ties seemed more influential at initial stages, with business networks becoming more dominant subsequently. The article concludes with appropriate recommendations for managerial decision making and future research.     

Foresighting FLOSS (free/libre/open source software) from a developing country perspective: The case of Turkey

Since free/libre open source software (FLOSS) promotes collaboration and contributions from different parties in software production and innovation processes, it can create a unique opportunity for developing countries, by generating an innovative capability in software technology. To benefit from this opportunity, it is important to understand the strategic factors and future trends that affect the development of an efficient FLOSS economy in developing countries.This paper aims to examine the strategic factors and future trends that are likely to affect the development and deployment of FLOSS in Turkey. Based on the internal and external factors identified through the practice of technological foresight, a SWOT analysis will be carried out to identify the strengths, weaknesses, opportunities and threats for Turkey in creating a competitive software industry that can benefit from the advantages of FLOSS. Accordingly, with regard to the required technical infrastructure, an innovative/competitive business climate, skilled human resources and support for institutional structures, policy suggestions are outlined here that could be usefully implemented by government, industry and universities.     

Lean principles, learning, and knowledge work: Evidence from a software services provider

In this paper, we examine the applicability of lean production to knowledge work by investigating the implementation of a lean production system at an Indian software services firm. We first discuss specific aspects of knowledge work—task uncertainty, process invisibility, and architectural ambiguity—that call into question the relevance of lean production in this setting. Then, combining a detailed case study and empirical analysis, we find that lean software projects perform better than non-lean software projects at the company for most performance outcomes. We document the influence of the lean initiative on internal processes and examine how the techniques affect learning by improving both problem identification and problem resolution. Finally, we extend the lean production framework by highlighting the need to (1) identify problems early in the process and (2) keep problems and solutions together in time, space, and person.     

小型移动终端天线设计的改进

在阐述了小型移动终端天线传统设计思想的基础上，考虑到人体影响及比吸收率(SAR)问题等因素，讨论了天线设计改进的途径如采用平衡结构等；并针对现代移动通信系统的要求讨论了自补偿天线、一体化以及软件天线等新的天线设计思想，为小型移动终端天线的近一步研究提供参考。     

Optimal bank asset and liability management with financial futures

This paper presents a model for optimal bank asset and liability management with financial futures. This model is a multiperiod linear programming model based on Markowitz portfolio theory. Given the bank's initial position, its economic forecasts, and the constraints under which it operates, the model can help a bank's senior executives determine the current and expected future balance sheet composition and financial futures position which will minimize the bank's operating risks and which will meet the bank's expected profits goal with the minimum possible profits risk. By parametrically varying the expected profits goal, the model will generate the set of risk-return efficient decisions. Bankers need then examine only the set of efficient decisions to choose their optimal solution. A simplified example is used to illustrate the application of our model and to demonstrate that banks that use financial futures in asset and liability management can obtain better results than banks that do not use financial futures.     

基于软件通信体系结构的OFDM波形实现

探讨了软件定义无线电开放的软件通信体系结构(SCA),实现了其核心框架,在此基础上给出了OFDM波形应用的开发过程,这些都为以后其他波形应用的开发提供了基础。     

控制微机中键盘与显示的硬件和软件设计

本文分析了控制微机的基本工作流程,介绍了键盘和显示接口的硬件设计特点和计算公式,给出了键盘的处理程序的设计及使用方法.     

模块化与计算机软件设计

指出软件工程的基本特征就是模块化，其核心是多级的模块层次结构和模块的独立性，并对软件模块的价值作了分析。     

城市轨道交通大小交路结合快慢车开行方案优化

城市轨道交通线路可以实行大小交路的开行模式,以克服断面客流不均衡导致的能力浪费,而这种模式使长距离乘客的出行时间增加,可以在列车开行大小交路的基础上考虑开行快慢车。以乘客出行成本与企业运营成本最小为目标,考虑列车停站时间与客流需求的关系,将停站时间纳入乘客出行成本,建立双目标非线性整数优化模型,求解乘客与运营企业的成本博弈均衡点。通过算例验证模型的有效性,结果表明,相对于大小交路嵌套的运营模式,实行“大小交路+快慢车”的运营模式可以有效降低乘客出行成本与企业运营成本。     

Fast and accurate yearly time series forecasting with forecast combinations

It has long been known that combination forecasting strategies produce superior out-of-sample forecasting performances. In the M4 forecasting competition, a very simple forecast combination strategy achieved third place on yearly time series. An analysis of the ensemble model and its component models suggests that the competitive accuracy comes from avoiding poor forecasts, rather than from beating the best individual models. Moreover, the simple ensemble model can be fitted very quickly, can easily scale horizontally with additional CPU cores or a cluster of computers, and can be implemented by users very quickly and easily. This approach might be of particular interest to users who need accurate yearly forecasts without being able to spend significant time, resources, or expertise on tuning models. Users of the R statistical programming language can access this modeling approach using the “forecastHybrid” package.