纳米未到网景时刻

与其它行业相比，电脑行业更像一位名星，业界一举一动都受到非同寻常的关注。

“网景神话”诞生后的马克·安德森

一切就像是一段慢镜头播放的列车颠覆事故。1997年12月,当来自网景公司(Netscape)销售人员的那些令人不安的报告开始接踵而来时,该公司的创立者之一,26岁的马克·安德森(Marc Andreessen)还沉浸在圣诞节的喜悦气氛中。但每份报告给他带来的不是他所希望看到的令人振奋的数字。

A Method for Spatial Heterogeneity Evaluation on Landscape Pattern of Farmland Shelterbelt Networks:A Case Study in Midwest of Jilin Province,China

On the basis of landscape ecology, combining the Spot 5 high resolution satellite imagery with GIS, a method evaluating the spatial heterogeneity of shelterbelts distribution at landscape scale is put forward in this paper. The distance coefficients of reasonable and existing landscape indexes of farmland shelterbelt networks were com-puted, and then through the classification of the distance coefficients, and the establishment of evaluation rules, the spatial heterogeneity of farmland shelterbelts was evaluated. The method can improve the evaluating system of previ-ous studies on shelterbelts distribution, resolve the disadvantages of lacking spatiality of overall evaluation, and make the evaluation results have more directive significance for shelterbelt management. Based on this method, spatial het-erogeneity of shelterbelt networks was evaluated in the midwest of Jilin Province, China. The results show that the re-gions with fewer shelterbelts and no closed network account for 34.7% of the total area, but only 4.9% of the area has relative reasonable pattern of shelterbelt networks. Many problems exist in the distribution pattern of shelterbelts, therefore, much attention should be paid to construct farmland shelterbelts in the study area.

Impacts of tourism development on the physical environment of Mussoorie,a hill station in the lower Himalayan range of India

Tourism in mountainous regions is a significant source of revenue generation. However, it has also been associated with many adverse environmental consequences. This study aims at assessing the negative impacts of the incessant upsurge in tourism development on the physical environment of Mussoorie, a well-known mountain tourist destination in India. The impact indicators for the region were identified and assessed by qualitative and quantitative analysis of field observations. The observations indicated the aggravation of traffic congestion, atmospheric pollution, undisposed solid waste, water scarcity and infrastructure unavailability as the prevalent issues, especially during the peak tourist months. The extent of the consequential damage to the environment was evaluated by conducting an assessment of tourism-induced human disturbance on the natural landscape of the town. Slope, slope aspect, vegetation cover, road network and drainage network were incorporated as thedetermining landscape attributes to prepare thematic maps of landscape quality(perceivable intrinsic properties) and landscape fragility(vulnerability to anthropogenic disturbances) using GIS technique. An absorption capacity map was finally prepared to characterize the study area into regions of different conservation needs. The results identified the need for planning appropriate preservation strategies for different tourist places in the town. The study can be used by the policy makers for implementing the regulatory measures against potential disturbances due to mass-tourism.

Development of the Marine Protected Areas Network for Restoration of the Degraded Underwater Landscapes of the Black Sea and Azov Sea

The paper is concerned with the development of a comprehensive methodology to establish a MPAs （marine protected areas） network in the Black Sea and Azov Sea region. Scientific basis to rationale establish that the MPAs network is a complex system of landscape zoning and mapping, defining their variability, sustainability, and geo-ecological condition, and taking into account evaluation of degradation of the underwater landscape over the past 100 years.

The Impact of the Environment Management Act （EMA） on the Accountability of Companies in Fiji

This study seeks to explore the impact of the Environment Management Act （EMA） （2005） on the accountability of three companies in Fiji. The study uses a multi-case study approach based on three subsidiaries of a conglomerate. Data collection methods include semi-structured interviews with accountants, internal auditors, and environmental officers, document reviews, and content analysis of annual reports and websites of the respective companies. The findings suggest that the EMA （2005） had some effects in terms of engendering accountability on the companies studied. Further evidence suggests that while this increased accountability has led to disclosures in annual reports and websites, these disclosures are minimal at best; furthermore, they primarily address that the stakeholder group comprised government regulatory authorities. The study provides policy implications on how environmental legislations could be designed to improve the accountability of commercial entities in developing economies. The experience and issues highlighted are also useful to other developing economies who are contemplating in developing their own environmental legislations. This paper is one of the few papers that explore the impact of environmental legislations on accountability in a developing economy context.

SA-FRCNN:An Improved Object Detection Method for Airport Apron Scenes

The airport apron scene contains rich contextual information about the spatial position relationship.Traditional object detectors only considered visual appearance and ignored the contextual information.In addition,the detection accuracy of some categories in the apron dataset was low.Therefore,an improved object detection method using spatial-aware features in apron scenes called SA-FRCNN is presented.The method uses graph convolutional networks to capture the relative spatial relationship between objects in the apron scene,incorporating this spatial context into feature learning.Moreover,an attention mechanism is introduced into the feature extraction process,with the goal to focus on the spatial position and key features,and distance-IoU loss is used to achieve a more accurate regression.The experimental results show that the mean average precision of the apron object detection based on SAFRCNN can reach 95.75%,and the detection effect of some hard-to-detect categories has been significantly improved.The proposed method effectively improves the detection accuracy on the apron dataset,which has a leading advantage over other methods.

Collective Background Extraction for Station Market Area by Using Location Based Social Network

Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its users＇ demand. In this paper, the authors proposed a method to analyze trait of users in market areas near stations by analyzing location based social network. After the datum collection from geotagged tweets, these GPS （global positioning system） datum were plotted to map attained from yahoo open location platform. Then the morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users＇ GPS coordination, the authors extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users＇ scores and city＇s scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled the authors to envisage distribution of collective background in city.

Sites to Remember： Performing the Landscape in Cultural History

This paper aims to compare and contrast two site-specific performance productions, both designed to grapple with processes of cultural remembrance, whilst also operating as successful tourist attractions. The narratives encompassed by both productions revolve around shared Australian histories, for audiences attracted by place and what it is able to represent. Re-enactments of past events call into the present a consideration of what still remains, with both shows enabling new subjective interpretations of earlier times. The defining difference between the two, however, rests in the context of each performance, in the one case as a commodification of heritage and in the other case as the desire to produce an artistic yet popular theatrical product. Ballarat＇s, Sovereign Hill＇s light and sound show, Blood on the Southern Cross celebrates and commemorates, in mega-spectacle style, the Eureka Stockade, one of Australia＇s key historical events. Using a mechanised display of the original goldmining site of the Eureka rebellion, the performance is operated by computers with video-projection, multi-phonic sound, and moving model forms, with audiences moved around the massive site on transporters. The Piccolo Tales, a contrasting performance most notably in terms of size, unfolds the history of Kings Cross, through its setting in the miniscule iconic Piccolo Bar, in one of the tiny side streets of Sydney＇s bustling and densest suburb. This paper encompasses an investigation of how the cultural inscriptions of the two specific sites interweave with the performance styles, materials, political and social positioning of the works. Previous performance studies examining site-specificity are utilised, including the author＇s analysis of particular festival performances as ＂place-making＂ （Hayes, 2012, 2013）. Smith＇s （2009） model of ＂signposts＂ is used to consider acting within site-specific productions in a new light, whilst both performances are more completely analysed through Schneider＇s （2011） concept of incomplete pasts forming ＂cycles of memory＂.

＂A Raft in the Stormy Sea＂： New Roles, New ＂Dresses＂ Operating in ＆ for Business Networks

This paper aims to discuss the development and functioning conditions of business networks. After recalling the main characteristics of post-fordistic environment and comparing it to a ＂stormy sea＂ （section one） of the paper focuses on the idea of networks described as ＂rafts＂ useful to firms to build their own competitive advantages. In fact, while theoretical knowledge is not so valuable because everybody can have it, practical and contextual knowledge is specific and therefore it can be defended. The development of a contextual knowledge is feasible if the firm chooses among all the possible alternatives. Subsequently in section two, it shows how fordistic principles eliminate space, reduce time, and increase the speed of communication among individuals and as entering a network has become a necessity as it allows a firm to obtain competitive advantages. The greatest benefit is the chance to share the task of creating new knowledge among different members. In section three it is discussed if navigation in the post-fordistic stormy sea could take advantage from the existence of a more certain regulation. It is necessary to underline that positive law is not a post-fordistic tool. There is no satisfactory detailed law regarding ideas, knowledge, and know-how, by now. Therefore, it is not possible to rely on a specific regulation framework to protect knowledge found on the network. In conclusion in section four, the work discusses how single organizations need to reach the ＂raft＂--which is the network--through the idea of sharing learning and distinguishing elements necessary to survive in the stormy sea post-Fordism environment. Lastly, section five would be analyzed a public institution--Milan Chamber of Commerce--which has ＂changed its dress＂ to more effectively perform its support role to firms.

Specific-Scene Oriented Pedestrian Detection in Visual Sensor Network

Pedestrian detection is one of the most important problems in the visual sensor network. Considering that the visual sensors have limited cap ability, we propose a pedestrian detection method with low energy consumption. Our method contains two parts: one is an Enhanced Self-Organizing Background Subtraction (ESOBS) based foreground segmentation module to obtain active areas in the observed region from the visual sensors; the other is an appearance model based detection module to detect the pedestrians from the foreground areas. Moreover, we create our own large pedestrian dataset according to the specific scene in the visual sensor network. Numerous experiments are conducted in both indoor and outdoor specific scenes. The experimental results show that our method is effective.

Cooperative Interference Game in Cognitive Radio Hidden Terminal Scenario

Hidden terminal problem in spectrum sensing is one of the most challenging problems in cognitive radio network(CRN).To tackle this problem,we propose a novel Cooperative Interference Game scheme in this paper.The scheme adopted full duplex(FD)mode to sense over multiple sub-bands in an iterative manner without extra sensing devices.The implementation algorithm of the proposed scheme is consisted of three modules:the formulation of the maximum transmit power limitation of second user(SU);the self-interference cancellation coefficient;and the optimal location of SU for an optimized low collision probability.Monte Carlo simulation proved that compared with cooperative spectrum sensing,the proposed scheme significantly improves the performance of spectrum detection and mitigates hidden terminal problem to a large extent with less energy consumption.

Virtual Painting Environment Design on the Intemet Based on VRML Scene

How to build a commercial decorative paintings sale web with the function of see placing effect was explained before you buy. Especially, the user could remotely choose a painting and virtually place it on a model room, or even his own real room picture. ASP（Active Server Pages） was used to connect VRML and the database, and JavaScript was used to make3D interaction. In addition, the layered images and transparent images were proposed to solve the occlusion between background picture and foreground picture.

Hierarchical Scene Analysis Method for Audio Sensor Networks

Abstract： A hierarchical method for scene analysis in audio sensor networks is proposed. This meth-od consists of two stages： element detection stage and audio scene analysis stage. In the former stage, the basic audio elements are modeled by the HMM models and trained by enough samples off-line, and we adaptively add or remove basic ele- ment from the targeted element pool according to the time, place and other environment parameters. In the latter stage, a data fusion algorithm is used to combine the sensory information of the same ar-ea, and then, a role-based method is employed to analyze the audio scene based on the fused data. We conduct some experiments to evaluate the per-formance of the proposed method that about 70% audio scenes can be detected correctly by this method. The experiment evaluations demonstrate that our method can achieve satisfactory results.

Maritime Clusters＇ Evolution： A Digital Innovation Model

Maritime cluster is a well-established and productively researched theme by maritime policy and economics scholars. Maritime cluster＇s evolution is an under-investigated area, with ramifications in maritime policy and business decision-making. In this paper, we study the evolutionary formation of maritime clusters, in the contemporary European blue economy context. We examine pertinent factors for the sustainable development of maritime clusters, with a strong technical, service and market innovation orientation. We merely examine the significance of legislative, financial, business networking and knowledge management related components. Qualitative empirical testing of the theoretical premises is performed for the Spanish, Italian, Greek and Cypriot cluster entities.

Network security situation and development prospect

Network information security is an important issue mattering national security and sovereignty, social stability, cultural inheritance and development. Its importance is escalating with the accelerated pace of global information. Information security is a comprehensive discipline involving computer science, network technology, communication technology, cryptography, information security technology, applied mathematics, number theory, information theory and other disciplines. It mainly refers to the condition that network hardware, software and system data are protected from destruction, change and divulgation from accidental or malicious reasons so that the system can run continuously and reliably with no interrupted network service.

基于无线传感器网络定位技术的图书馆智能管理创新

"互联网+"时代,信息技术的发展对图书馆的智能化管理工作提出了更高的要求。文章概述了无线传感器网络与定位技术,重点讨论了如何将WSN定位技术运用到图书智能管理,通过定位技术与大数据、云计算等信息技术的结合,推动图书馆智能系统建设和智能化发展。

The Evaluation of the Integrated Risk for the South-to-North Water Transfer Project Using the Bayesian Network Theory

南水北调工程是目前我国最大的调水工程。随着工程的建设和运行,由不确定性问题引起的风险问题越来越受到关注,工程运行的风险分析也摆在管理者的面前,如何识别、评估、降低和控制风险的发生成为南水北调工程运行中的一个重要问题。本文首次将贝叶斯网络理论引入到南水北调综合风险分析中,选取东线工程宝应抽水泵站为研究对象,利用贝叶斯网络推理功能得出宝应站运行综合风险发生的概率为0.025%,风险发生的等级为"较低"。利用情景分析的方法,得出在影响综合风险的因素中,泵站的管理维护状况条件改变时,综合风险变化最大,因此需要予以重点关注。

Attractor landscape analysis of the cardiac signaling network reveals mechanism-based therapeutic strategies for heart failure

Apoptosis and hypertrophy of cardiomyocytes are the primary causes of heart failure （HF）, a global leading cause of death, and are regulated through the complicated intracellular signaling network, limiting the development of effective treatments due to its complexity. To identify effective therapeutic strategies for HF at a system level, we develop a large-scale comprehensive mathematical model of the cardiac signaling network by integrating all available experimental evidence. Attractor landscape analysis of the network model identifies distinct sets of control nodes that effectively suppress apoptosis and hypertrophy of cardiomyocytes under ischemic or pressure overload-induced HF, the two major types of HF. Intriguingly, our system-level analysis suggests that intervention of these control nodes may increase the efficacy of clinical drugs for HF and, of most importance, different combinations of control nodes are suggested as potentially effective candidate drug targets depending on the types of HF. Our study provides a systematic way of developing mechanism-based therapeutic strategies for HF.

Ethnography and the Internet： Taking Account of Emerging Technological Landscapes

This article explores the strengths of ethnography as a methodology for exploring the complex social landscape of the contemporary Intemet. The article outlines the historical development of the Intemet, from Web 1.0 to a participatory Web 2.0 embedded within everyday life and ultimately to the prospect of an autonomous Internet of Things. The benefits of an ethnographic approach for understanding such developments in depth and examining taken-for-granted assumptions are outlined alongside an account of some of the challenges that digital technologies pose for an ethnographic methodology. Amongst these challenges are the difficulties inherent in mapping out a field site that effectively captures the complexity of online/offline connections and of developing a sufficient degree of immersion and co-presence for a rich understanding to be attained. Finally, the challenges offered by the emergence of mobile Internet, algorithmic filtering of information and unpredictable flows of data are explored. It is suggested that the ethnographer of the Internet can usefully position their task as being to explore a socially constructed yet technologically mediated landscape, immersing themselves in it, interrogating how others experience it and mapping the ways in which it becomes meaningful to those who navigate its complexities.