A review on diagnostic autism spectrum disorder approaches based on the Internet of Things and Machine Learning

Children with autism spectrum disorders (ASDs) have some disturbance activities. Usually, they cannot speak fluently. Instead, they use gestures and pointing words to make a relationship. Hence, understanding their needs is one of the most challenging tasks for caregivers, but early diagnosis of the disease can make it much easier. The lack of verbal and nonverbal communications can be eliminated by assistive technologies and the Internet of Things (IoT). The IoT-based systems help to diagnose and improve the patients’ lives through applying Deep Learning (DL) and Machine Learning (ML) algorithms. This paper provides a systematic review of the ASD approaches in the context of IoT devices. The main goal of this review is to recognize significant research trends in the field of IoT-based healthcare. Also, a technical taxonomy is presented to classify the existing papers on the ASD methods and algorithms. A statistical and functional analysis of reviewed ASD approaches is provided based on evaluation metrics such as accuracy and sensitivity.

     

基于计算机与DSP的智能视频系统的分析与研究

近几年来随着计算机性能和DSP芯片性能的不断提高,出现了智能视频这一新兴技术,其应用极大地扩展了人们对于现场情况的控制力,并且使视频监控更加准确及时,已成为未来视频发展的新方向。基于计算机视觉技术和DSP技术的发展,提出两种分别基于计算机与DSP的智能视频系统实现方案,同时对各自的软件实现方面做了较为详尽的介绍。在基于计算机的系统中由于采用了OpenCV视觉库使视频开发更加迅：DSP方面采用的是TI公司刚刚推出的TMS320DM6446,其独特的设计使得图像处理更加迅速,充分满足现场实时性需求。     

一种多机协同工作支撑环境的设计与实现

在目前支持Internet上大规模应用方面,多采用商业的并行服务器与机群系统,该类系统具有较好的性能,但对用户自由定制的支持稍显欠缺。该文提出并分析了一种多机协同工作支撑环境,支持用户对多机协同工作的自由定制。     

Big data and IoT solution for patient behaviour monitoring

ABSTRACT

The study of patient behaviours (vital sign, physical action and emotion) is crucial to improve one’s quality of life. The only solution for handling and managing millions of people’s behaviours and health would be big data and IoT technology because most of the countries are lack of medical professionals. In this paper, a big data and IoT-based patient behaviour monitoring system have proposed. Qualitative studies are carried out on the selected behaviours analytics, cardiovascular disease identification and fall detection. At last, authors have summarised the general challenges like trust, privacy, security and interoperability as well as special challenges in various sectors: government, legislators, research institutions, information technology companies and patients.     

How the Web is used to support collaborative writing

We present 19 systems that have been developed over the past decade to support collaborative writing over the Web. The aim of this article is to present the state of the art on the use of the Web for collaborative writing and thus (1) help designers improve current systems or define future systems, and (2) help users choose the most appropriate system to support their needs. Among available systems, groups can select from tools to write a document (on- or off-line), collect comments about a document, or maintain a Web site. The lack of experimental data concerning Web-based applications forces designers to use other sources of information to guide their design choices, such as a list of functions that an ideal collaborative writing tool should offer. This list has revealed several potential points for improvement.     

CAMMInA: a mobile ambient information system to motivate elders to exercise

Several strategies have been identified for designing effective persuasive technology that encourages people to adopt healthy lifestyle habits. However, to implement these strategies for motivating elders to exercise, we need to take into account the elders’ particular characteristics, their needs, and the problems they face to exercise. This paper presents the results of a case study conducted to identify the factors that influence elders to maintain a regular exercise routine. These results enabled us to inform the design of an ambient information system, which by requiring minimal attention and cognitive effort from elders, makes them aware of relevant information that motivates them to exercise. To reach this end, the system implements the following strategies for persuading: abstraction, historical information and reflection, triggers for exercising, and positive and playful reinforcement. A system usability evaluation enabled us to validate these strategies for motivating elders.     

The manager as a computer user

Many people who are not computer experts are now making direct use of computer systems in the everyday performance of their duties. The manager is an example of a 'naive' computer user and he is currently the target of many systems which seek to improve his decision making performance by the provision of better and more up-to-date information. A questionnaire survey has been made of many different types of 'naive' computer user and this paper reports the results of interviews with managers who are computer users. Managers were questioned on the form of man-computer interaction they employed, the benefits they derived and the problems they encountered. The forms of interaction range from the regular receipt of standard printouts to the use of a teletype or visual display unit for data interrogation or to simulate the consequences of possible decisions. The results show that the standard outputs often make little contribution to the manager's work because they cannot respond to changes in the manager's information needs. The more complex forms of interaction are more flexible and can make a much greater contribution. However, the complexity of the interaction can be a major obstacle to effective use of the system by a busy manager and advanced systems are often under utilised.     

An application of goal content theory to examine how desired exercise outcomes impact fitness technology feature set selection

Fitness technologies are a prominent example of the societal trend towards personal informatics. These technologies pair devices that have various embedded sensors with one or more apps to allow for the collection, analysis, socialization, and management of individuals' health and wellness data. We have limited insight into what drives the use of fitness technologies or how they may contribute to wellness outcomes. To address this gap, our study examines how exercise goals are related to fitness technology feature set use and how the use is associated with a measure of the exercisers' psychological well‐being (ie, subjective vitality). We find that intrinsic exercise goals (eg, enjoyment or competence) are associated with the use of features that allow users to collect, analyse, and inform their exercise progress. Body‐focused extrinsic exercise goals (eg, appearance) are also associated with the use of such features but are negatively associated with features that socialize exercise. The social extrinsic exercise goal is associated with the use of more controlling features that can provide external pressure from the technology or other people. The social features of fitness technologies are associated with higher levels of subjective vitality. Our findings indicate that exercisers who have goals where measuring progress may be desired (eg, losing weight and training for a marathon) are more likely to be drawn to the data management aspects of fitness technologies, whereas using fitness technologies to socialize exercise may add an element of enjoyment that is attractive to some users and may lead to increased well‐being.     

图书馆管理系统设计与开发

图书馆在人们生活中发挥着越来越多的作用,但传统的图书馆管理方式已不能跟上时代需求。采用C/S结构模式图书馆管理系统,可以有效提高图书馆工作效率和工作准确性,使图书馆工作更加规范和自动化。     

MIS Professionals' Attitudes Toward and Perceptions of 4GLs

Abstract

Each generation of programming languages has made applications easier to develop. In recent years, the use of fourth-generation languages (4GLs) has allowed many users, formerly alienated from the systems development process, to fulfill their own information needs. MIS professionals, however, have reacted negatively to the use of 4GLs. This article presents a survey of MIS professionals, who reveal their perceptions of the use and productivity of 4GLs as well as some of the obstacles that prevent them front using 4GLs in their organizations.     

Computer mediated communication for social and academic purposes: Profiles of use and University students’ gratifications

The present study approaches the Internet as a social space, where university students make use of computer mediated communication (CMC) applications, i.e. e-mail, instant messaging and social network sites, in order to satisfy social and academic needs. We focus on university students, because they represent one of the most avid groups of CMC users and additionally, because they are expected to carry their perceptions of media with them into the work place and their social life. In order to investigate this issue, we conducted an empirical research using, as a target group, a sample of students from a specific Greek University. Grounded in the “uses and gratifications” perspective, we investigated the various profiles of CMC use by students along with (a) the students’ perceptions about social and academic usefulness of CMC applications, (b) the extent up to which these perceptions are correlated with students’ prior experience with the use of CMC applications, and (c) how both of these factors can predict the frequency of present use of CMC for social or academic purposes respectively. The results reveal that although these three CMC applications constitute “functional alternatives” (media that satisfy similar needs) they are different to the degree of their “functionality” for the gratification of social and academic needs. Furthermore, the degree of CMC use by students is not correlated with the years of CMC experience, but with the profile of use that students dynamically adopt according to their daily needs and preferences. The results provide evidence for the current CMC use by university students and can be useful for the implementation of further academic policies regarding CMC use in Higher Education settings.     

Double-edged sword: The effect of exergaming on other forms of exercise; a randomized controlled trial using the self-categorization theory

BackgroundNo study has yet adopted the perspective of the self-categorization theory to examine the impact of playing exergames on players' attitudes and intentions towards other forms of exercise.PurposeTo examine the impact of playing exergames on players' attitudes and intentions to engage in other exercise and how such an impact depends on previous exercise frequency.MethodsThis randomized controlled trial recruited 117 college students who were randomly assigned to either an intervention group (n = 55) or a control group (n = 62). Participants in the first group played an exergame for 30 min, three times per week for 12 weeks. This study calculated the changes in the participants' attitudes and intentions before and after the program, and compared the differences between the two groups.ResultsExergaming improved the players' attitudes toward other forms of exercise. Such improvement was significant for frequent exercisers, but not for infrequent exercisers. Surprisingly, playing exergames strengthened the intentions to engage in other forms of exercise for frequent exercisers, but weakened such intentions for infrequent exercisers.ConclusionsExergaming encourages frequent exercisers to engage in other forms of exercise, but does the opposite among infrequent exercisers.OriginalityThis study is the first identifying the contingent effect of exergaming on users' attitudes and intentions toward other forms of exercise.     

基于Seq2Seq模型的SparQL查询预测

近年来,随着以数据为中心的应用的大量增加,图数据模型逐渐被人们所关注,图数据库的发展也非常迅速,对于用户而言,用户往往更关心其在使用数据库过程中的效率问题.本文主要研究如何利用已有的信息进行图数据库的查询预测,从而进行数据的预加载与缓存,提高系统的响应效率.为了使得方法具有跨数据移植性,并深入挖掘数据间的联系,本研究将SparQL查询提取为序列的形式,使用Seq2Seq模型对其进行数据分析和预测,并使用真实的数据集对方法进行测试,实验表明本文的方案具有良好的效果.     

Workers' education

Health education is one of the most popular weapons against low back pain and other work-related musculoskeletal disorders.

It is used for both primary and secondary prevention to teach healthy life and work habits and to improve body mechanics in order to promote and maintain health. It is assumed that with a few hours of teaching, people adopt new working postures and movements, make ergonomic changes in their environment, and start exercising.

The most common teaching method is lecturing, with visual aids. The practical session is often short.

In evaluations shortly after the sessions, participants have been satisfied, their knowledge has increased, and in some cases the number of injuries or sick leaves has decreased. Follow-ups have shown that the health situation has returned to its former state within two years. In health education, aimed at preventing musculoskeletal injuries, the principle should be ‘learning by doing’. Instead of lecturing, the programmes should have a comprehensive approach, which includes the improvement of the live situation and environment, and involves the entire community.

Three programmes (the prevention of data entry operators' neck and upper limb disorders, early rehabilitation courses for forest workers, and workers guidelines to self-help) are presented and the teaching methods and contents analysed with special interests in the didactic methods and in participation of workers.     

How the Web is used to support collaborative writing

We present 19 systems that have been developed over the past decade to support collaborative writing over the Web. The aim of this article is to present the state of the art on the use of the Web for collaborative writing and thus (1) help designers improve current systems or define future systems, and (2) help users choose the most appropriate system to support their needs. Among available systems, groups can select from tools to write a document (on- or off-line), collect comments about a document, or maintain a Web site. The lack of experimental data concerning Web-based applications forces designers to use other sources of information to guide their design choices, such as a list of functions that an ideal collaborative writing tool should offer. This list has revealed several potential points for improvement.     

Control circuits simplification and computer programs design on bipedal robot

This study is expected to provide the best design of bipedal robot, which will help widen the application in the future. A new design system is presented through simplification of the control circuit, and the design of computer programs not only lowers the research barriers of the robots but also decreases the development costs. This design system can be used for various operations of manufacturing processes to make up the shortages of the flexibility for the robots. In recent years, the progress in electronics and the control technology has made the robots useful not only for dangerous and automatic tasks, but also for advanced and friendly people service. Thus, the robots have been used in the factories for automation and towards the general use in regular life. Of all robots, the bipedal robot attracts the most attention for its humanoid outlook, user-friendly design, and artificial intelligence for the human society. Many bipedal robots are developed to satisfy consumers’ needs. The control circuits and the program design are the key issues to make the bipedal robots. In this study, a synchronous robot controller for 31°-axis freedom is developed. The authors also equip a memory in the hardware architecture to store all moving commands of the bipedal robot. In terms of internal programs, the authors develop a human interface that synchronizes the movement of the robot and collects the pace data of the robot. The authors use the statistical method to analyze the data and establish a database of the robot's movement. With the database, one can finally drive the robot to walk and generate the pace design of the bipedal robots.     

提高计算机网络可靠性策略探析

近些年来,我国科学技术迅速发展,计算机技术也不可阻挡的融入了人们的生活、工作中,得到广泛的应用,给人们带来了许多的方便,但是,相对应的,计算机技术的使用中同样存在着安全隐患。为了提高计算机网络的可靠性,满足社会经济和人们生活、工作对其的需要,就要提高计算机网络的可靠性,本文就此提出了提高计算机网络可看性的策略。     

Compressed-domain visual saliency models: a comparative study

Computational modeling of visual saliency has become an important research problem in recent years, with applications in video quality estimation, video compression, object tracking, retargeting, summarization, and so on. While most visual saliency models for dynamic scenes operate on raw video, several models have been developed for use with compressed-domain information such as motion vectors and transform coefficients. This paper presents a comparative study of eleven such models as well as two high-performing pixel-domain saliency models on two eye-tracking datasets using several comparison metrics. The results indicate that highly accurate saliency estimation is possible based only on a partially decoded video bitstream. The strategies that have shown success in compressed-domain saliency modeling are highlighted, and certain challenges are identified as potential avenues for further improvement.

     

A hybrid matchmaking approach in the ambient assisted living domain

During the recent years, several new Information and Communication Technology solutions have been developed in order to meet the increasing needs of elderly with cognitive impairments and support their autonomous living. Most of these solutions follow a human-centred paradigm that aims to provide users with personalised services according to their needs by also ensuring their safety with mechanisms that can automatically trigger appropriate actions in situations where there may be a risk for an elderly. The present paper presents a hybrid matchmaking approach that uses efficiently both a rule-based and a statistical matchmaker in order to (a) propose ambient assisted living services to the end-users, based on their role, status and context of use and (b) identify and resolve problematic cases by automatically selecting the most proper set of services to be called in a single or combined manner.

     

RFID-based indoor location tracking to ensure the safety of the elderly in smart home environments

In recent years, the number of elderly people living alone has grown rapidly. This increases the need for indoor healthcare services that help elderly residents live a safe and independent life. There has been increasing interest in indoor ubiquitous healthcare (U-Healthcare) applications that monitor the elderly unobtrusively via sensors and that warn them or healthcare providers of abnormal conditions. In U-Healthcare applications, automatically locating and tracking users who move around a building is a fundamental feature. Outdoor location sensing technologies such as the global positioning systems are not suitable for use in indoor environments, such as “smart home” applications, because their indoor-based location sensing lacks accuracy. This paper proposes an indoor U-Healthcare system that uses radio-frequency identification technology to accurately locate and track the elderly. The proposed system provides real-time monitoring of elderly people’s whereabouts. In addition, it analyzes their locations in association with time slots and the length of time they stay in the same place, thus inferring information such as movement patterns, ranges, and frequencies. This information is used to determine elderly people’s well-being and to warn family or healthcare workers of any potential problems. The proposed indoor U-Healthcare system improves the quality and convenience of care delivered to elderly people.