Fraudulent phone call recognition method based on convolutional neural network

With increasingly rampant telephone fraud activities,the social impact and economic losses caused to China have increased dramatically.Precise,convenient,and efficient fraudulent phone call recognition has become a challenge since telephone fraud became more varied and covert.To deal with this problem,many researchers have extracted some statistical features of telephone fraud behavior and proposed some machine learning algorithms on the field of fraudulent phone call recognition.In this paper,the calling detail records are utilized to construct a classifier for fraudulent phone call recognition.Meantime,a deep learning approach based on convolutional neural network(CNN)is proposed for better features learning and compared with the existing state-of-the-art machine learning algorithms.It learns phone number and call behavior features of telephone fraud,and improves the accuracy of classification.The evaluation results show that the proposed algorithm outperforms competitive algorithms.

Method to Remove Handwritten Texts Using Smart Phone

To remove handwritten texts from an image of a document taken by smart phone,an intelligent removal method was proposed that combines dewarping and Fully Convolutional Network with Atrous Convolutional and Atrous Spatial Pyramid Pooling(FCN-AC-ASPP).For a picture taken by a smart phone,firstly,the image is transformed into a regular image by the dewarping algorithm.Secondly,the FCN-AC-ASPP is used to classify printed texts and handwritten texts.Lastly,handwritten texts can be removed by a simple algorithm.Experiments show that the classification accuracy of the FCN-AC-ASPP is better than FCN,DeeplabV3+,FCN-AC.For handwritten texts removal effect,the method of combining dewarping and FCN-AC-ASPP is superior to FCN-AC-ASP alone.

A Problem Not to Be Ignored: The Influencing Factors of Mobile Phone Addiction and Its Influence on Sleep Quality

Background and Objective: With the popularity and widespread use of mobile phones, the effects of mobile phone dependence and addiction on individuals’ physical and mental health have attracted more and more attention. The present study aims to analyze the current state of mobile phone addiction and its impact on sleep quality within the population, while also exploring the influence of related factors on sleep quality. Ultimately, this research will provide a scientific foundation for targeted intervention measures and strategies. Methods: A total of 253 permanent residents in Nanjing were randomly selected as study subjects. The Mobile Phone Addiction Index (MPAI) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the degree of smartphone addiction and sleep quality of the study subjects. Body mass index (BMI) was measured according to standardized procedures. Independent sample t-test, Chi-square test, rank sum test and multiple linear regression were used to analyze the correlation between mobile phone addiction and sleep quality, and P Results: 117 people (46.2%) were addicted to mobile phones. Chi-square test showed that the rate of mobile phone addiction in drinking group was significantly higher than that in non-drinking group (P P P P P P P P P P Conclusion: Mobile phone addiction may lead to shorter sleep duration and reduce sleep efficiency. The withdrawal of mobile phone addiction may have a negative impact on sleep quality. According to the characteristics of the population, appropriate comprehensive intervention measures should be taken to build an effective evaluation system, so as to reduce the impact of mobile phone addiction and withdrawal problems on sleep and improve sleep quality.

“Hot Nano Spots” as an Interpretation of So-Called Non-Thermal Biological Mobile Phone Effects

Indications exist that mobile phones may cause non-specific biological effects. They are classified as being of implausible non-thermal nature due to low quantum energy and low specific absorption rate levels, even if considering worst cases of "hot spots" of only millimeter size. The considerations of this paper demonstrate that classical theory of polarization offers a conventional interpretation for all three the existence of so far unclarified effects, their low reproducibility and their low intensity. The basis of this explanation is given by the assumption that hot spots contain even hotter “nano spots” on a molecular level according to well known mechanisms of γ-relaxation. In this paper, the concept is put for discussion assuming a heterogeneous system that consists of water molecules as well as larger-sized functional molecules. A consistent interpretation through temperature increase on the level of nanometer sized molecular compounds promises to favor interdisciplinary discussions with respect to safety regulations.

Exposure to Electromagnetic Fields from Mobile Phones and Fructose consumption Coalesce to Perturb Metabolic Regulators AMPK/SIRT1-UCP2/FOXO1 in Growing Rats

Objective In this study,the combined effect of two stressors,namely,electromagnetic fields(EMFs)from mobile phones and fructose consumption,on hypothalamic and hepatic master metabolic regulators of the AMPK/SIRT1-UCP2/FOXO1 pathway were elucidated to delineate the underlying molecular mechanisms of insulin resistance.Methods Weaned Wistar rats(28 days old)were divided into 4 groups:Normal,Exposure Only(ExpO),Fructose Only(FruO),and Exposure and Fructose(EF).Each group was provided standard laboratory chow ad libitum for 8 weeks.Additionally,the control groups,namely,the Normal and FruO groups,had unrestricted access to drinking water and fructose solution(15%),respectively.Furthermore,the respective treatment groups,namely,the ExpO and EF groups,received EMF exposure(1,760 MHz,2 h/day x 8 weeks).In early adulthood,mitochondrial function,insulin receptor signaling,and oxidative stress signals in hypothalamic and hepatic tissues were assessed using western blotting and biochemical analysis.Result In the hypothalamic tissue of EF,SIRT1,FOXO 1,p-PI3K,p-AKT,ComplexⅢ,UCP2,MnSOD,and catalase expressions and OXPHOS and GSH activities were significantly decreased(P<0.05)compared to the Normal,ExpO,and FruO groups.In hepatic tissue of EF,the p-AMPKα,SIRT1,FOXO1,IRS1,p-PI3K,ComplexⅠ,Ⅱ,Ⅲ,Ⅳ,Ⅴ,UCP2,and MnSOD expressions and the activity of OXPHOS,SOD,catalase,and GSH were significantly reduced compared to the Normal group(P<0.05).Conclusion The findings suggest that the combination of EMF exposure and fructose consumption during childhood and adolescence in Wistar rats disrupts the closely interlinked and multi-regulated crosstalk of insulin receptor signals,mitochondrial OXPHOS,and the antioxidant defense system in the hypothalamus and liver.

Prediction of Traffic Volume of Motor Vehicles Based on Mobile Phone Signaling Technology

Urban traffic volume detection is an essential part of trafficplanning in terms of urban planning in China. To improve the statisticsefficiency of road traffic volume, this thesis proposes a method for predictingmotor vehicle traffic volume on urban roads in small and medium-sizedcities during the traffic peak hour by using mobile signal technology. Themethod is verified through simulation experiments, and the limitations andthe improvement methods are discussed. This research can be divided intothree parts: Firstly, the traffic patterns of small and medium-sized cities areobtained through a questionnaire survey. A total of 19745 residents weresurveyed in Luohe, a medium-sized city in China and five travel modes oflocal people were obtained. Secondly, after the characteristics of residents’rest and working time are investigated, a method is proposed in this studyfor the distribution of urban residential and working places based on mobilephone signaling technology. Finally, methods for predicting traffic volume ofthese travel modes are proposed after the characteristics of these travel modesand methods for the distribution of urban residential and working placesare analyzed. Based on the actual traffic volume data observed at offlineintersections, the project team takes Luohe city as the research object and itverifies the accuracy of the prediction method by comparing the predictiondata. The prediction simulation results of traffic volume show that the averageerror rate of traffic volume is unstable. The error rate ranges from 10% to 30%.In this thesis, simulation experiments and field investigations are adopted toanalyze why these errors occur.

The Call of Success A little-known Chinese company leads the way in Africa’s mobile phone market

If you find yourself in Lagos and you＇re a gadget freak, make your way to the Ikeja electronic market, believed to be the largest of its kind in West Africa.

Effects of sports on school adaptability, resilience and cell phone addiction tendency of high school students

BACKGROUND Sport help promote healthy physical and mental development of high school students.To date,there have been few studies on the effect of sport on school adaptability,resilience and cell phone addiction tendency of high school students.AIM To explore the effects of sports on school adaptability,resilience and cell phone addiction of high school students.METHODS A stratified random sampling method was used to select 600 students from two high schools in Lhasa,and Physical Activity Rating Scale,School Adjustment Scale for High School Students,Chinese Adolescents Resilience Scale,and Mobile Phone Addiction Index were used for field questionnaire survey.RESULTS Sport was positively correlated with school adaptability and resilience(P<0.01),school adaptability was positively correlated with resilience(P<0.01)and cell phone addiction was negatively correlated with sports,school adaptability and resilience(P<0.01).The direct effect of sport on cell phone addiction was significant(P<0.001),accounting for 20.51%of the total effect.The mediating effect of school adaptability on sport and cell phone addiction was significant(P<0.001),accounting for 17.38%and 35.36%of the total effect value,respectively.School adjustment and resilience had a significant chain-mediated effect on sport and cell phone addiction(P<0.001),accounting for 26.75%of the total effect.CONCLUSION Sport affected the cell phone addiction tendency of senior high school students through the mediating effect of school adaptability and resilience,and through the chain mediation effect of both.

Level of Insomnia, Symptoms of Depression, and Anxiety among College Students with Mobile Phone Addiction: Basis for Guidance and Counseling Program Enhancement

Mobile phone addiction is a growing concern among college students, with significant implications for their mental health. This study examines the complex relationship between mobile phone addiction and its impact on college students’ insomnia, symptoms of depression, and anxiety. A sample of 399 college students from traditional Chinese medicine colleges in Guangxi, China, completed the Mobile Phone Addiction Tendency Scale questionnaire. Among them, 155 students with high Mobile Phone Addiction Tendency scores were selected for the correlation study. The analysis revealed a strong association between mobile phone addiction and insomnia. Furthermore, mobile phone addiction was significantly associated with symptoms of depression, including feelings of sadness, worthlessness, and hopelessness, as well as heightened anxiety symptoms, such as excessive worry and restlessness. These findings emphasized the importance of targeted interventions and preventive measures to address the negative impact of mobile phone addiction on college students’ mental health.

Windows Phone数据访问技术研究

在移动互联网时代,必须有效解决智能终端设备如何访问关系数据库中的数据问题。Windows Phone给出的解决方案是,首先利用对象关系映射技术为关系数据库建立实体对象模型;然后使用REST风格的WCF数据服务封装实体对象上下文,Windows Azure可作为发布该服务的载体;最后遵循开放式数据协议的规范查询及操作数据。对相关技术进行了较深入的研究,并使用MVVM模式给出了一个具体的实例,论证了该方案的可行性。由于智能终端可以通过开放数据协议访问和操作部署在Windows Azure中的WCF数据服务,结果以XML的形式返回,从而使得Windows Phone数据访问的模式可以扩展到使用其它操作系统的智能终端平台,如Android、IOS等。

基于Windows Phone 7的体感健身系统的设计与实现

体域网包含一系列传感器节点,通过短距离通信技术实现与外界的通信,提供医疗保健、消费电子、个人娱乐等多项服务。论述了一个结合体域网,利用微软公司推出的XNA技术和.NET框架,在Windows Phone 7环境下设计实现的体感健身系统。

基于Windows Phone的野外数据采集系统的设计与实现——以土壤调查为例

野外数据采集是自然资源调查的重要组成部分。随着新兴技术的发展,野外数据采集已经摆脱了传统的手工采集模式,但由于平台的局限性,其发展受到限制。本文以目前最新的智能移动系统Windows Phone为平台,并以土壤数据采集为例,设计和开发了野外数据采集系统,探索了新移动平台的性能,为以后野外数据采集系统提供了新的设计思路。

苹果IOS、谷歌Android、微软Windows phone 三大移动互联网系统开发策略比较研究

面向智能终端的操作系统开发是移动互联网发展最为重要的一环。面对日益增长的移动互联网市场,IOS、Android、Windows phone这三大不同"出身"的系统厂商分别寻找和利用具有差异性的开发策略进行自身发展。本文从四个层面分析、比较和研究了目前国际主流移动互联网系统的开发策略。

加拿大青少年自杀预防教育专业化发展及启示——基于对青少年自杀预防中心(Kids Help Phone)的考察

自杀是当前全球重大公共卫生问题之一,预防自杀已刻不容缓。经过30年的发展,加拿大自杀预防中心(Kids Help Phone)开展的青少年自杀预防教育在加拿大处于领导力地位。KHP下设咨询服务与项目部、收入发展部、财务与行政部、创新科技部、新闻编辑室五个部门;借助这些部门,KHP聘用专业的雇员和志愿者,开发线上和线下实体项目、参与国家战略、加强与其他相关机构的联系,为青少年,尤其是大中小学生提供专业化的自杀预防服务和教育活动。KHP及其开展的青少年自杀预防教育对完善我国自杀预防机构、推进自杀预防教育专业化等,提供了借鉴意义。

基于Windows Phone平台的手机校园GIS系统设计方案

从探讨未来智慧校园移动端GIS产品的角度考量,利用云计算技术,以Microsoft Visual Studio 2010为开发平台,采用C#语言为开发语言,以ArcGIS Server 10为GIS服务端,设计开发了Windows Phone手机移动端的手机校园GIS系统。整个系统主要由校园新闻模块、课程安排模块、地图查询模块、我的日记模块、最近天气模块组成,能够起到使用手机小软件方便安排校园生活的目的,研发过程是对智能校园的一次很有意义的探索和尝试。

IP Phone系统中组播通信Agent的设计与实现

提出了一个具有实时负载均衡和快速异常处理功能的组播通信Agent(MCA)。该Agent充分利用组播通信的优点,通过负载均衡算法,对IPPhone系统中各个服务器进行资源分配和调度,并且对异常情况做到快速处理和恢复。首先给出了MCA的组成结构,然后重点描述各模块的功能和实现,最后通过模拟实验,对MCA进行了性能分析。

Windows Phone开发中的照片方向处理技巧

介绍如何使用个开源的ExifLib类库来对照片进行处理,来保证照片上传后方向的正确性。

基于机器学习技术的骚扰电话识别技术研究

随着移动通信服务的不断发展,广泛存在的骚扰电话违法行为愈演愈烈,成为当前通信运营商急需解决及优化治理的主要通信违法行为,造成了严重的负面社会影响。本文提出基于机器学习及大数据分析的骚扰电话拨打行为分析的治理方案。方案基于移动通信网络在客户使用过程中产生的各类语音信令数据,通过机器学习技术,对保存在大数据集群上的信令数据进行分析与训练,实现更加精准的骚扰电话分析研判策略制定,形成基于“大数据采集、策略制定、分析研判,封堵处置”的闭环管理流程,达到业务应用优化的目的。