物业管理论文可投哪些期刊

由北京亚太教育发展研究院物业管理研究中心主办的《物业教育资讯》为面向房地产、物业企业、宾馆、写字楼等物业及相关企业全国发行的综合行业内专刊。北京覆盖率达90%以上，是物业行业内强势媒体！ 《物业教育资讯》是为物业管理行业提供综合信息的物业行业专业性刊物。她以其独具的实用性、创新性、丰富性为特色，为该行业提供了更为宽广的信息交流的平台。本刊面向全国物业管理企业，至7月底，全国有4700多家物业管理公司订阅。在北京的覆盖率更是遥遥领先，有超过1950多家物业管理公司及100多家相关行业企业订阅本刊，成为行内最具实力的媒体！ 截止到目前，全国新增订阅本刊的物业公司1200余家，订阅本刊的物业公司总数达到6000余家，订阅总数量突破15,000册！ 据初步统计，目前至少有8万至15万的物业管理企业及房地产企业的中高层管理人员参阅本刊，相关从业人员参阅数量更为庞大！ 《物业教育资讯》服务部收到来自全国各地的物业企业来电来函累计3000余件,其中对我们的工作给予肯定的同时，也为我们提出了很多宝贵的建议，使我们不断改进和提高，并迅速完善起来，成为具有物业行业特色的专业期刊。改版后的《物业教育资讯》在内容上更具实用，更充分体现了我们的服务宗旨——力求为物业企业提供全方位、高质量的服务。我们在新版中强档推出了精品栏目——企业风采，为一些希望学习成功的管理经验和管理模式的物业企业提供一个相互学习和交流的空间，同时也为一些物业企业树立品牌、展示自己的企业风采打造了最佳舞台。 《物业教育资讯》是物业管理行业了解行业培训动态，培养优秀管理人才的舞台；是物业管理者获取专家经验，提高自身能力的捷径；是企业展示自身实力、增强企业竞争力的平台。也是其他与物业相关行业提高知名度、扩大市场的得力助手。

Title: Strategic Property Management: How Can Local Authorities Develop a Property Strategy?Author(s):Virginia GibsonJournal:Property ManagementYear:1994 Volume:12 Issue:3 Page:9 - 14DOI: : MCB UP Ltd之类的给你发你邮箱了记得查收哦~~~~~记得加分^_^

1.现代物业2.房地产（物业管理）

我也问过类似的问题，把朋友回答的转发给你吧：《住宅与房地产》杂志物业版，在深圳，里面有一些实际的管理运营思路方面的文章，推荐看看；《物业教育资讯》杂志，在北京，亚太研究院物业管理研究中心办的，比较专业，行业资讯也较全，有许多实际管理方面的案例，很不错。而且价钱了也很便宜，适合企业中高层管理人员参考，能解决实际问题，实操性好，推荐；《新疆房地产杂志》杂志，在新疆，可能地理位置限制，资源有限，地域性比较强。楼主可斟酌选阅。

The necessity for accurate speech recognition systems capableof handling adverse environments with multiple speakershas in recent years fueled speech separation and enhancementresearch [1, 5, 3, 2, 6, 4]. This has resulted in numeroustechniques with varying degrees of success, most ofwhich employ multiple microphones [1, 3, 2, 6, 4]. Beamformingtechniques, for example, utilize knowledge aboutthe direction of the speech source of interest in order to reducenoise from other directions. The resulting SNR gainis significant as long as a large number of microphones areavailable [6, 4]. Independent Component Analysis (ICA),on the other hand, is capable of producing large SNR gainswith few microphones [1, 3]. However, ICA has severallimitations that have hampered its application in real-worldsituations [1, 6].Interestingly, both of these popular techniques (as wellas many other speech separation techniques) are similar inthe sense that they are not specifically designed to functionfor speech signals. Speech has certain characteristics whoseutilization can provide a significant edge in the de-noisingand signal separation tasks [2, 5].In this paper, we extend the phase error filtering techniqueinitially proposed in [2] to include the magnitudesof the two microphones in addition to the phase technique transforms two noisy time-domain signalsrecorded by two microphones into their time-frequency(TF) representations. For each time-frequency componentor block, a phase-error measure is derived from the informationin both microphones. Based on this, the time-frequencyblock for each microphone is scaled by a masking value betweenzero and one. Basically, TF blocks with large phaseerrorsare ‘punished’ by a small mask value (0) and TFblocks with small phase-errors are ‘rewarded’ by a largemask value (1).In the following sections, we formulate four different TFmasks and analyze them theoretically, through SNR-gainsimulations, and digit recognition experiments.