网络环境下青少年心理健康教育研究

网络的推广与普及给青少年的身心带来了巨大的影响,它在拓宽青少年认知结构空间、促进其情绪宣泄和培养青少年多元价值观的同时,也容易导致青少年认知能力迷失、人际关系淡漠、生活意志丧失、抑郁、焦虑、敌对等一系列的心理问题。而我国当前在青少年网络心理问题的治疗过程中,存在着禁止青少年上网、只进行德育训诫、重治轻防和治疗人员专业水平较低等问题。提高青少年心理健康教育的效果,应建立家庭、学校和社会三位一体的教育和预防机制,开展网络心理教育,注重法制教育、德育教育与心理教育的有机结合并提高青少年网络心理疾病治疗人员的专业化水平。     

基于RBAC模型的网络信息系统权限管理的设计和实现

本文提出了基于RBAC模型的权限管理的设计和实现方案,讨论了权限管理为核心的面向对象设计模型,以及权限访问和权限控制等技术。     

物联网中的关键技术

物联网已成为IT业界的新兴领域,其所具有的特点,使其具有非常广阔的应用前景。本文对实现物联网中所要用到的一些关键技术与架构进行了研究,包括智能感知技术、数据传输技术、数据处理分析技术以及安全控制等方面。     

物联网环境下电子政务绩效评估三角模糊层次模型分析

建立物联网(Internet of things)环境下电子政务绩效评估的层次结构模型,提出一种基于三角模糊层次分析法(Triangular Fuzzy Analytical Hierarchy Process)的物联网电子政务绩效评估方法,降低人为因素对评估效果的影响。对影响物联网电子政务绩效各个因素的相对重要性进行评价,根据专家策略得出模糊判断矩阵,进而采用三角模糊层次分析法对物联网电子政务绩效进行综合分析。在评估主体的选择上,引入第三方、民众和上级部门共同作为评估主体,克服了传统电子政务绩效评估的不足,为物联网电子政务的进一步开展提供了合理依据。     

Predicting Internet banking adoption in India: a perceived risk perspective

The emergence of Internet banking has transformed the banking systems across the globe. As a channel to market, Internet banking allows geographical constraints to be overcome by offering various products and services at lower customer costs. An understanding of the factors influencing customer adoption of Internet banking is both relevant and timely. This study integrates technology acceptance model and perceived risk theory in understanding Internet banking acceptance among Indian bank account holders. Specifically, this study categorizes perceived risk as external risk and internal risk, and examines its influence on customer beliefs and adoption of Internet banking. Using two-step predictive analytics of structural equation modeling and artificial neural network analysis, the 270 responses reveal that both external risk and internal risk inhibit customer acceptance of Internet banking. More importantly, neural network analysis reveals that perceived ease of use and external risk are two important factors determining how well Internet banking is accepted by customers. The implications of the study findings and future research directions are presented.     

Identification of Web User Segments Based on Beliefs about Online Ads

Online advertising has been one of the fastest growing industries worldwide, due to the increased number of Internet users. From the perspective of marketing management, identifying the profile of web users who click online ads will enable designers to create better online advertising campaigns. Hence, the main objectives of this article are (1) to segment web users based on their beliefs about online ads, (2) to identify personality traits of each segment, and (3) to investigate attitudinal and behavioral differences across segments about online ads. Data were collected through an online survey and by using cluster analysis, web users were segmented into three groups based on their beliefs about online ads: “Supporters,” “Neutrals,” and “Opponents.” Personality trait differences as well as attitudinal and behavioral differences among three segments were examined and significant differences were found in terms of their personality traits, such as variety seeking, market mavenism, and innovativeness.     

四川秦巴山区信息化建设研究

受自然地理条件限制,四川秦巴山区信息化发展水平还处于初级阶段,同中国的大城市相比,存在着很大的差距,数字鸿沟突出,并呈现出日益拉大的趋势。在全球信息化的大环境下,加强信息化建设奠定了该地区绿色循环发展的基础,是实现传统产业转型升级的核心手段,是改善民生的必然要求。通过对四川秦巴山区信息化建设现状以及信息化发展存在问题的分析,提出了信息化建设要紧密结合现状,依托重点城镇逐步向山区延伸,达到片区全覆盖;以"互联网+"着手,以科技创新为支撑,从而实现该地区经济的循环跨越式发展。     

Crude oil price forecasting based on internet concern using an extreme learning machine

The growing internet concern (IC) over the crude oil market and related events influences market trading, thus creating further instability within the oil market itself. We propose a modeling framework for analyzing the effects of IC on the oil market and for predicting the price volatility of crude oil’s futures market. This novel approach decomposes the original time series into intrinsic modes at different time scales using bivariate empirical mode decomposition (BEMD). The relationship between the oil price volatility and IC at an individual frequency is investigated. By utilizing decomposed intrinsic modes as specified characteristics, we also construct extreme learning machine (ELM) models with variant forecasting schemes. The experimental results illustrate that ELM models that incorporate intrinsic modes and IC outperform the baseline ELM and other benchmarks at distinct horizons. Having the power to improve the accuracy of baseline models, internet searching is a practical way of quantifying investor attention, which can help to predict short-run price fluctuations in the oil market.     

Is there decentralization in North Korea? Evidence and lessons from the sloping land management program 2004–2014

In the 1990s, the Democratic People’s Republic of Korea (North Korea) suffered from severe food shortages and large-scale deforestation, which triggered a stage of rural conservation reform. Since 2004, with support from the Swiss Agency for Development and Cooperation (SDC), North Korea’s Ministry of Land and Environmental Protection (MoLEP) has implemented a Sloping Land Management Program (SLMP). The SLMP established sloping land user groups and granted these groups the right to use marginal land for agroforestry development. This devolution of land rights from state control onto local groups is a landmark in North Korea, and this decentralization initiative has now expanded to over eight counties to involve thousands of households. It has also led to the launch of a National Agroforestry Policy and Strategy. Drawing from both qualitative and quantitative data collected from 2008 to 2014, this paper documents the process and effects of the SLMP. It argues that the decentralization reform in land management has contributed to not only food security with increased food crop diversity and productivity, but also notably forest recovery through an expansion of tree plantations and agroforestry practices on degraded sloping lands. However, an insufficient power transfer in the form of a lack of timber rights granted to the local user groups has hampered the effectiveness of the SLMP. There are also institutional and geopolitical challenges that are limiting further scaling-up of land-use decentralization across the country. The policy implication calls for more international investment as well as national land-use policy reforms in order to promote and facilitate further decentralization of sloping land management and to secure greater use rights for sloping land user groups.     

企业信息技术规划模型——走向因特网

本文针对信息技术的急剧发展的现状,考虑到企业在信息技术的投资、选择上的困惑和无序,通过一个渐进的ＩＴ规划模型,为面向２１世纪的企业因特网生存提供一个决策模型。