Optimizing Spatial Crowdsourcing:A Quality-Aware Task Assignment Approach for Mobile Communication

The widespread use of advanced electronic devices has led to the emergence of spatial crowdsourcing,a method that taps into collective efforts to perform real-world tasks like environmental monitoring and traffic surveillance.Our research focuses on a specific type of spatial crowdsourcing that involves ongoing,collaborative efforts for continuous spatial data acquisition.However,due to limited budgets and workforce availability,the collected data often lacks completeness,posing a data deficiency problem.To address this,we propose a reciprocal framework to optimize task assignments by leveraging the mutual benefits of spatiotemporal subtask execution.We introduce an entropy-based quality metric to capture the combined effects of incomplete data acquisition and interpolation imprecision.Building on this,we explore a quality-aware task assignment method,corresponding to spatiotemporal assignment strategies.Since the assignment problem is NP-hard,we develop a polynomial-time algorithm with the guaranteed approximation ratio.Novel indexing and pruning techniques are proposed to further enhance performance.Extensive experiments conducted on datasets validate the effectiveness of our methods.

Research on the Development Trend of English Linguistics from the perspective of Multi-culture and Cross-cultural Communication

With the continuous development and progress of society, modern society is formed by the multicultural, namely, an important feature of today’s society is the diversity of cultures. English language and culture course combines both foreign language and cultural characteristics, which has very strong artistic and theoretical factors. Language is a part of culture, and plays an important role in culture. Language and culture are inseparable, if students do not understand the cultural background of foreign languages, cannot correctly understand and use foreign language. In the process of college English teaching, how to carry out cultural teaching and improve students’ cross-cultural communicative competence has become an important topic in English teaching and learning. In order to help students overcome obstacles in intercultural communication and cultivate students’ intercultural communicative competence, we should improve the level of college English teaching by integrating culture factors into English teaching. The culture we need to learn is not limited to the culture of the English-speaking countries. The cultural teaching in English teaching requires an all-round import

Indoor Environment Quality Monitoring and Evaluation System Based on LoRa Communication

Indoor environmental quality has always been the focus of people’s long-term attention. How to monitor the indoor environmental level conveniently and accurately is a problem that people pay attention to now. After research, an indoor environment level monitoring system based on LoRa communication is designed. The system is mainly divided into two parts, the detection node, and the monitoring terminal. Temperature, humidity, light intensity, noise, formal-dehyde, and carbon dioxide are detected through the node with STM32F103ZET6 microcontroller as the controller;the data is sent to the monitoring terminal for display through LoRa communication. At the same time, the T-S fuzzy neural network (TSFNN) is improved by the particle swarm optimization (PSO) algorithm to classify the indoor environment quality level. Experimental test: the total error of the improved TSFNN model test set is reduced by 8.6007. The system can monitor the indoor environment level objectively and reliably, and has high practical value.

Application and Challenge of Edge Computing Based on 5G Communication in Information and Communication Systems

With the rapid development of information technology,5G communication technology has gradually entered real life,among which the application of edge computing is particularly significant in the information and communication system field.This paper focuses on using edge computing based on 5G communication in information and communication systems.First,the study analyzes the importance of combining edge computing technology with 5G communication technology,and its advantages,such as high efficiency and low latency in processing large amounts of data.The study then explores multiple application scenarios of edge computing in information and communication systems,such as integrated use in the Internet of Things,intelligent transportation,telemedicine and Industry 4.0.The research method is mainly based on theoretical analysis and experimental verification,combined with the characteristics of the 5G network to optimize the edge computing model and test the performance of edge computing in different scenarios through experimental simulation.The results show that edge computing significantly improves the data processing capacity and response speed of ICS in a 5G environment.However,there are also a series of challenges in practical application,including data security and privacy protection,the complexity of resource management and allocation,and the guarantee of quality of service(QoS).Through the case analysis and problem analysis,the paper puts forward the corresponding solution strategies,such as strengthening the data security protocol,introducing the intelligent resource scheduling system and establishing a multi-dimensional service quality monitoring mechanism.Finally,this study points out that the deep integration of edge computing and 5G communication will continue to promote the innovative development of information and communication systems,which has a far-reaching impact and important practical significance for promoting the transformation and upgrading in the field of information technology.

Practical Exploration of Strengthening Team Communication and Cooperation in Head Nurse Nursing Management

This study explores the practical application of nursing management led by head nurses to enhance team communication and collaboration within clinical settings.By integrating leadership theories with nursing practice,this research adopts a qualitative methodology to examine the effects of strategic communication and teamwork enhancement initiatives.Through interviews,observations,and the analysis of case studies in various hospital departments,the study identifies key barriers to effective team communication and collaboration,including hierarchical structures,lack of standardized communication protocols,and insufficient training.Solutions implemented involve targeted communication skills training,the establishment of interdisciplinary teamwork protocols,and leadership workshops for head nurses.The outcomes indicate significant improvements in team efficiency,patient care quality,and staff satisfaction.This research underscores the importance of head nurses in fostering an environment conducive to open communication and collaborative practice,thereby advancing patient care and team performance.

A Novel Objective Quality Assessment Method for Video Conferencing Coding

Most recently, due to the demand of immersive communication, region-of-interest-based(ROI) high efficiency video coding(HEVC) approaches in conferencing scenarios have become increasingly important. However, there exists no objective metric, specially developed for efficiently evaluating the perceived visual quality of video conferencing coding. Therefore, this paper proposes a novel objective quality assessment method, namely Gaussian mixture model based peak signal-tonoise ratio(GMM-PSNR), for the perceptual video conferencing coding. First, eye tracking experiments, together with a real-time technique of face and facial feature extraction, are introduced. In the experiments, importance of background, face, and facial feature regions is identified, and it is then quantified based on eye fixation points over test videos. Next, assuming that the distribution of the eye fixation points obeys Gaussian mixture model, we utilize expectation-maximization(EM) algorithm to generate an importance weight map for each frame of video conferencing coding, in light of a new term eye fixation points/pixel(efp/p). According to the generated weight map, GMM-PSNR is developed for quality assessment by assigning different weights to the distortion of each pixel in the video frame. Finally, we utilize some experiments to investigate the correlation of the proposed GMM-PSNR and other conventional objective metrics with subjective quality metrics. The experimental results show the effectiveness of GMM-PSNR.

Adequate Advance Provided by a Familiar Fluid Dynamic Balance Principle to Tools and Techniques for Water Quality Interpretation: Experienced in Yaoundé(Cameroun) 2^ndSupply Dam

In a fluid (liquid or gas) at rest, the isobars are horizontal surface. This fluid dynamic balance theorem provides adequate advance to tools and techniques for Water Quality Interpretation. We deal in this paper, with an effective way of exploiting the familiar communicating containers’ principle. That formally consists on providing water samples from desired depths of rivers, oceans, retention dams, etc. The prevailing limiting factor to achieve this feat is the length of our sampling pipes named Mbane Bathymetric Tube (MBT) designed for this purpose when rivers or retention dams are very deep. Providing drinking water to urban growing populations is a challenge that no government can escape. Therefore, improving the tools and techniques for water quality interpretation is an adequate advance for drinking water managerial techniques because this allows the recovery of contaminated water which abounds on the earth by acquiring appropriate wastewater treatment stations. The aim of the manuscript is to provide a brief theoretical description of our designed sampling equipment to allow everyone who is going to use it to solve in advance problems brought by Archimedes’ pressure force when experiencing the sampling pipes. Archimedes’ pressure force acts mainly when moving the sampling pipes to water lower levels and then opening its protective cover which allows the communication with the supply dam.

The Effects of Information and Communication Technology on Health Service Delivery at Tafo Government Hospital

This study sought to find out the effects of Information and Communication Technology (ICT) on health service delivery at Tafo Government Hospital. A descriptive survey design was used. Data were collected through the use of semi-structured questionnaire and administered to 50 respondents where stratified random sampling technique was used by ranking position as strata. Data were analyzed using descriptive statistics. From the findings, 56% of the respondents overwhelmingly agreed to the fact that the applications of ICT provide quicker medical diagnoses, reduced workload among users, improvement in patients’ waiting time and information accessibility. Nonetheless, 72% bemoaned lack of ICT infrastructure, poor ICT network concerns coupled with that insufficient knowledge on the use of ICT could impede the impact of ICT in quality service delivery. This could be deduced from the findings that ICT improves collaboration and clinical decision support in facilitating clinical work flow integration among nurses and other medical professionals. Moreover, the findings above affirm the fact that without electricity, ICT infrastructure, insufficient skills and technical knowledge in dealing with ICT innovations, it is impossible to successfully adopt ICT resources in health care delivery. The above findings show that the majority of healthcare professional generally had a positive attitude towards ICT prospects as they rated their skill as fairly well. The study recommends that the Ministry of Health plays a supporting role by investing in health care ICT.

Deep Learning Model for News Quality Evaluation Based on Explicit and Implicit Information

Recommending high-quality news to users is vital in improving user stickiness and news platforms’reputation.However,existing news quality evaluation methods,such as clickbait detection and popularity prediction,are challenging to reflect news quality comprehensively and concisely.This paper defines news quality as the ability of news articles to elicit clicks and comments from users,which represents whether the news article can attract widespread attention and discussion.Based on the above definition,this paper first presents a straightforward method to measure news quality based on the comments and clicks of news and defines four news quality indicators.Then,the dataset can be labeled automatically by the method.Next,this paper proposes a deep learning model that integrates explicit and implicit news information for news quality evaluation(EINQ).The explicit information includes the headline,source,and publishing time of the news,which attracts users to click.The implicit information refers to the news article’s content which attracts users to comment.The implicit and explicit information affect users’click and comment behavior differently.For modeling explicit information,the typical convolution neural network(CNN)is used to get news headline semantic representation.For modeling implicit information,a hierarchical attention network(HAN)is exploited to extract news content semantic representation while using the latent Dirichlet allocation(LDA)model to get the subject distribution of news as a semantic supplement.Considering the different roles of explicit and implicit information for quality evaluation,the EINQ exploits an attention layer to fuse them dynamically.The proposed model yields the Accuracy of 82.31%and the F-Score of 80.51%on the real-world dataset from Toutiao,which shows the effectiveness of explicit and implicit information dynamic fusion and demonstrates performance improvements over a variety of baseline models in news quality evaluation.This work provides empirical evidence for explicit and implicit factors in news quality evaluation and a new idea for news quality evaluation.

Link Quality Prediction for 802.11 MANETs in Urban Microcells

In this paper we derive the optimal link quality predictor (LQPR) whose parameters are estimated from signal power and node speed samples. We propose a fast estimator for these parameters whose computational complexity is three orders lower than that of the optimal estimator with only a slight loss in accuracy thus enabling real- time execution. We show that using the most recent local mean of the signal as a predictor of future signal strength is also a very close approximation to the optimal predictor. This is the central result of this paper. It obviates the need for complex and/or computationally intensive link quality predictors for 802.11 in urban microcells and has the advantage of not requiring node speed information. The LQPRs are evaluated against the lower error bound. We show that the LQPR based on the most recent local mean of the signal predicts the packet reception probability for pedestrians in urban microcells on average with a mean absolute error of 13.47%, 16.54%, 18.21% and 19.38% for 1 s, 2 s, 3 s and 4 s into the future respectively. This LQP accuracy resembles closely the lower error bound with, for example, a difference of only 2.47% at 2 s into the future.

Power Line Communications Networking Method Based on Hybrid Ant Colony and Genetic Algorithm

When solving the routing problem with traditional ant colony algorithm, there is scarce in initialize pheromone and a slow convergence and stagnation for the complex network topology and the time-varying characteristics of channel in power line carrier communication of low voltage distribution grid. The algorithm is easy to fall into premature and local optimization. Proposed an automatic network algorithm based on improved transmission delay and the load factor as the evaluation factors. With the requirements of QoS, a logical topology of power line communication network is established. By the experiment of MATLAB simulation, verify that the improved Dynamic hybrid ant colony genetic algorithm (DH_ACGA) algorithm has improved the communication performance, which solved the QoS routing problems of power communication to some extent.

慢性病患者的生命质量评价

目的分析慢性病对患者生命质量的影响。方法采用患者自填的方式,对住院的505例慢性病患者应用英国发展版SF-36量表进行生命质量的测定。结果与四川省一般人群的生命质量参考值相比,各种慢性病患者的绝大多数领域得分均有明显下降(P<0.05),特别是PR、GH和RE3个领域。控制性别和年龄的协方差分析显示,不同慢性病患者的生命质量除PR外,余各领域间差异均有统计学意义(P<0.01)。结论慢性病患者的生命质量都有显著下降,在慢性病患者的治疗中应注意有针对性地采取不同的措施;有必要编制一套中国不同地区和人群的常模,以便对不同人群的生命质量进行对比研究。

上海市托幼机构常见传染病与消毒质量监测报告

为了解上海市托幼机构消毒工作质量及卫生状况,采用现场抽样和采样检测方法,在2002～2004年进行了连续监测.结果,连续3年监测的合格率依次为97.71%、97.13%和98.02%.托幼机构室内空气卫生合格率为96.01%,餐饮具合格率为97.12%,环境物表合格率为98.29%,工作人员手合格率97.12%,使用中消毒液合格率为99.64%,嬉水池合格率为94.48%.污染超标比较多的物品有餐具,熟食砧板,桌面,玩具,便器坐垫,毛巾等.上海市托幼机构幼儿传染病发病率比较高的有手足口病,水痘,流行性腮腺炎,急性出血性结膜炎,细菌性痢疾等.结论,上海市托幼机构卫生消毒质量整体状况比较好,但存在卫生死角,特别是与幼儿接触密切的物品污染超标较多.

河北省法定传染病疫情网络直报质量分析

目的 分析全省网络直报疫情,掌握网络疫情直报的质量,发现问题,及时建议。方法 使用EXCEL对2 0 0 4年4月1～30日甲乙类传染病网络直报统计资料进行分析。结果 全省共报法定报告传染病10 733例,均为乙类传染病。其中2 0 0 3年12月31日前发病的病人5 19例,占报告总数的4 84 %。共查出重卡95张,占报告总数的0 89%。直报疫情卡中未注明填卡医生姓名的占11 36 % ,填卡医生姓名不全或明显错误的占0 2 7%。从医生填直报卡片到审核卡片,平均只需2 2 3d。结论 网络直报系统的使用,极大地提高了疫情报告的时效性。应进一步加强人员培训,不断完善国家疾病监测信息报告系统。

陕西省2004年传染病疫情报告信息质量评价

目的初步评价陕西省实行网络直报后传染病疫情报告的信息质量状况,探讨影响报告及时性的主要因素,提高疫情报告的及时性、敏感性和准确性。方法通过《中国疾病预防控制信息系统》中的子系统《疾病监测信息报告管理系统》获取陕西省2004报告的乙类、丙类传染病报告卡;从系统中导出Excel数据库,运用SPSS12.0软件对数据进行处理、统计分析。结果陕西省内县及县以上医院直报率达90.97%;报告单位以综合医院为主,占77.87%;全年仅有少数未审卡和重卡存在;有两个县区分别出现1月次零缺报现象;全省传染病诊断到报告1.87d,报告到审核0.91h,诊断到审核2.63天;报告的及时性比实行网络直报前缩短3.9d。结论诊断到报告时间是影响报告及时性的主要因素;全省各市对传染病报告卡信息的审核质量参差不齐;网络直报工作急需规范管理;针对问题提出了建议。

四川省2005年传染病网络报告质量评价

[目的]对四川省2005年传染病网络直报数据进行描述和分析,为进一步提高疫情报告工作质量提供科学依据。[方法]以传染病网络直报系统质量评价体系为评价依据,使用SQL数据库和EXCEL电子表格统计分析。[结果]2005年四川省疾病预防控制机构直报率为100.00%,县级以上医疗机构为90.30%,乡镇卫生院为62.05%,较2004年有所提高,但仍低于全国平均水平,传染病报告未及时审核率、未及时报告率、重卡率、零缺报率分别为13.78%、43.96%、0.09%、0.68%,其综合指数为58.51%,位居全国第27位。[结论]该省传染病报告与审核的及时性低,乙肝、肺结核等慢性传染病重报严重,提示各级卫生行政部门应加强医疗机构与疾控部门传染病疫情报告质量管理。

2006年太原市传染病疫情网络直报信息质量评价

目的通过对2006年太原市传染病网络直报工作质量评价,发现影响直报质量的因素。方法从《疾病监测信息报告管理系统》中获取太原市2006年1～12月各县(区、市)疾病预防控制中心及所辖医疗机构报告的传染病报告卡、重卡数据,将报告卡导出为Excel格式,统一评价标准和方法,分地区进行相关内容统计分析,并利用质量指数法评价各地区报告信息质量。结果2006年太原市传染病网络直报无未审核卡及县(区)零缺报,各县区均存在未及时报告与审核卡;从诊断至报告各时间段均出现时间逻辑错误;报告卡填报完整性以学生和幼托儿童"工作单位"填写不符合要求率最高。结论开展传染病网络直报信息管理质量评价是发现影响传染病网络直报质量因素的有效方法。

论信息技术与服务质量管理

服务质量的管理主要取决于在服务作业过程中的信息编码、译码、传递、和沟通等信息技术的运用。服务企业的经理们必须运用信息技术去填补消费者服务经理及服务人员对服务的期望、理解与感受之间的缺口。因为消费者根据自己对服务质量的期望与体验的匹配去评价一项服务的好坏，所以服务企业的经理们就需要运用信息技术去影响消费者对服务质量的期望与体验之间的匹配。事实上服务质量的每一个因素，象礼貌、可信、负责、可靠。能力等等都是与信息技术紧密相关的。因此每个服务企业都应努力建设自己的信息能力，开发自己的信息系统，管理好自己的信息资源，从而保障企业的服务质量。

宝鸡市医疗机构法定传染病与死亡病例报告分析

目的了解宝鸡市医疗机构传染病与死亡病例报告管理现状。方法采用整群抽样法抽查39所医疗单位(其中县级以上医院15所、乡镇卫生院12所、村卫生室12所)进行法定传染病与死亡病例管理及报告质量调查。结果传染病报告率县区级医疗机构高于乡镇级医疗机构(县区级报告率为98.12%,乡镇级报告率为83.72%);死亡病例报告率低,全市仅为60.10%;传染病诊断符合率较低[乙型肝炎(乙肝)诊断符合率为59.78%]。结论医疗机构部分传染病诊断准确性已成为影响传染病报告质量的主要因素,各级医疗机构部分医生对乙肝诊断标准了解不全面,分类错误是导致乙肝诊断符合率较低的主要原因。同时死亡病例报告和管理不规范,漏报严重,直接影响了医疗机构死亡病例的报告质量。

南宁市2014年基层医疗卫生机构传染病报告质量和管理现状调查

目的了解南宁市基层医疗卫生机构传染病信息报告质量和报告管理工作现状,以提高传染病报告质量和规范传染病报告管理工作。方法调查南宁市50家基层医疗卫生机构2014年1—11月门诊日志和出入院登记,抽查8例法定传染病病例,核对门诊日志和出入院登记、传染病纸质报告卡及网络直报系统电子卡片三者之间的信息,计算传染病漏报率、及时报告率、报告卡填写完整率和准确率以及报告卡与网络报告信息一致率。结果调查传染病病例338例,漏报率为2.07%,乙、丙类传染病漏报告率分别为1.75%和2.23%。及时报告率为99.70%,纸质报告卡填写完整率为96.07%,纸质报告卡填写准确率为83.99%,与网络报告信息一致率为92.15%。结论南宁市基层医疗卫生机构传染病漏报率较低,但与其他城市比较还有一定的差距。应加强传染病报告管理和报告培训工作,健全机制,规范基层医疗卫生机构门诊日志和出入院登记的填写,全面提高传染病信息的报告质量。