Computer Internet Research Articles

Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition

With the rapid development of the wireless sensor network and the continuous improvement of its key technologies, the concept of Internet of Things has been encouraged and extended due to its wide applications in scenarios, such as smart homes and healthcare. Under the background, human activity recognition has drawn great attention in recent years. In this paper, we present a discriminant approach to recognize daily human activities recorded through accelerometer sensor. In the proposed approach, we first use S transform (ST) to extract features, and then introduce a supervised regularization-based robust subspace (SRRS) learning method to learn low-dimensional intrinsic feature representation from the original feature subspace. Particularly, ST has been described as a joint time-frequency representation, which is insensitive to noise. SRRS can learn more robust and discriminative features to reinforce the descriptions of samples while removing noise and redundancy. Experiments are conducted on three publicly available datasets, i.e., wireless sensor data mining, SCUT-NAA, and mHealth demonstrating the superior performance of our proposed scheme compared with state-of-the-art methods.

Fog Computing for Internet of Things (IoT)-Aided Smart Grid Architectures

The fast-paced development of power systems necessitates the smart grid (SG) to facilitate real-time control and monitoring with bidirectional communication and electricity flows. In order to meet the computational requirements for SG applications, cloud computing (CC) provides flexible resources and services shared in network, parallel processing, and omnipresent access. Even though CC model is considered to be efficient for SG, it fails to guarantee the Quality-of-Experience (QoE) requirements for the SG services, viz. latency, bandwidth, energy consumption, and network cost. Fog Computing (FC) extends CC by deploying localized computing and processing facilities into the edge of the network, offering location-awareness, low latency, and latency-sensitive analytics for mission critical requirements of SG applications. By deploying localized computing facilities at the premise of users, it pre-stores the cloud data and distributes to SG users with fast-rate local connections. In this paper, we first examine the current state of cloud based SG architectures and highlight the motivation(s) for adopting FC as a technology enabler for real-time SG analytics. We also present a three layer FC-based SG architecture, characterizing its features towards integrating massive number of Internet of Things (IoT) devices into future SG. We then propose a cost optimization model for FC that jointly investigates data consumer association, workload distribution, virtual machine placement and Quality-of-Service (QoS) constraints. The formulated model is a Mixed-Integer Nonlinear Programming (MINLP) problem which is solved using Modified Differential Evolution (MDE) algorithm. We evaluate the proposed framework on real world parameters and show that for a network with approximately 50% time critical applications, the overall service latency for FC is nearly half to that of cloud paradigm. We also observed that the FC lowers the aggregated power consumption of the generic CC model by more than 44%.

Maximizing the Utilization of Fog Computing in Internet of Vehicle Using SDN

The Internet of Vehicle sensors generate huge data that are processed by cloud servers, but this leads to high latency and bandwidth occupies. This was the main motivation behind fog computing. Software-defined network (SDN) was developed to simplify the traditional networks’ architecture. Sometimes, when a fog server fails to execute some tasks, it sends them to cloud servers while other fog servers are idle. This leads to inefficient utilization of fog computing resources. This letter aims to optimize the resource utilization of fog computing with meeting the deadlines of tasks via assigning them to an optimal fog server using SDN. Moreover, local and global load balance techniques are proposed. The simulation results revealed that our proposed system decreases the transference of tasks to the cloud and as a result decreases the latency and bandwidth consumption.

Mobile Intelligent Computing in Internet of Things: An Optimized Data Gathering Method Based on Compressive Sensing

In order to alleviate the impacts of the rapid network energy exhaustion and the unreliable links on the data gathering in the Internet of Things (IoT), mobile intelligent computing based on compressive sensing date gathering (MIC-CSDG) algorithm is proposed in this paper, which could improve the data reconstruction accuracy. We conduct research from the following four links. First, this method employs mobile intelligent computing to derive the multi-hop function among sensor nodes, which is further utilized to determine the proportional relationship for the sensor nodes. Second, based on the sparse matrix, an observation matrix is designed with low correlation to mitigate the influences of the data packet loss on the entire IoT system and improve the data reconstruction accuracy for the sink node. Then, the acknowledge mechanism for the data forwarding strategy is employed to improve the reliability of the data transmission among clusters. Therefore, reliable data handover is accomplished for the multi-path routing data among different nodes. The results which are about the simulation shows that the loss rate of the packet is equal to 40%, the data reconstruction error of the MIC-CSDG algorithm still remains lower than 5%. Compared with other existing algorithms, the data forwarding time is reduced by 16.36%, while the average network energy consumption is reduced by 23.59%. Therefore, the validity and efficiency of the proposed method are verified.

Steganographic coding scheme based on dither convolutional trellis under resampling mechanism.

With the rapid development of mobile internet and cloud computing, numerous digital me-dia files in mobile social networking and media sharing software have become the important carriers of steganography. However, these digital media files may be resampled by the media server when being pushed to the intelligent mobile terminals. The resampling of digital media files is a transfor-mation which enlarges or shrinks objects by a scale factor that is the same in all dimensions. In order to reduce embedding distortion while ensuring the correct extraction of secret messages under resam-pling mechanism, a steganographic coding scheme based on dither convolutional trellis is proposed in this paper. The resampling mapping is estimated with finite sample pairs. The resampling stego media files with secret messages embedded are generated from the estimated resampling cover media files by syndrome-trellis codes (STCs). According to the estimated resampling mapping, the dither convolutional trellis for one dimensional resampling is constructed to generate the source stego me-dia files from source cover media files and resampling stego media files. The steganographic coding scheme is also extended to the circumstance of two dimensional resampling such as image scaling. The experimental results show that the proposed steganographic scheme can achieve less embedding dis-tortion while ensuring the accuracy of secret messages extraction under multi-dimensional resampling mechanism.

A New Era of Internet Computing is Coming

A New Era of Internet Computing is Coming

Proficiency Perceptions and Attitudes of Pre-Service Teachers on İnformation and Communication Technologies

The aim of this study is to examine teacher candidates’ perceptions of their own proficiency in using information and communication technologies and their attitudes towards information and communication technologies in terms of gender, major, internet usage frequency and computer ownership. The study group consists of 336 teacher candidates, 98 male (29%) and 238 female (71%) senior students, in different departments at Cumhuriyet University Faculty of Education during the 2017-2018 academic year. The “Proficiency Perception Scale for Using Information and Communication Technologies” and “The Attitude Scale for Information and Communication Technologies” developed by different researchers were administered to the candidate teachers. As a result of the findings obtained from the research, there was no significant difference between proficiency levels of the teacher candidates regarding the use of information and communication technologies. Besides, there was not significant difference between the means of attitude towards information and communication technologies in terms of majors and the internet usage frequency, and between the mean proficiency perception scores of using information and communication technologies with regard to gender. It was ascertained that there was a slightly meaningful difference between the attitudes scores for information and communication technologies in favor of males in terms of gender, and as to computer ownership, there was a low level of difference between both attitude and perception scores in favor of computer owners. The findings are discussed within the scope of literature.

Elsewhere in the CS

The IEEE Computer Society’s lineup of 13 peer-reviewed technical magazines covers cutting-edge topics ranging from software design and computer graphics to Internet computing and security, from scientific applications and machine intelligence to cloud migration and microchip design.

Sistem Informasi Pendaftaran dan Antrian Pasien Pada Klinik Dokter Menggunakan Komunikasi Data Internet

The application of Information Technology has entered various fields and the benefits have begun. This encourages some Information technology developers to develop existing processes in the company to utilize information technology. One area that utilizes this technology is companies in the field of hospitals / clinics. Information technology is used from various sectors including hospital administration, hospital patient queues, inpatient management management and others. In this study the application of the use of information technology is done by making an application about the registration and queue of patients. This application can help the administration of the registration section of the Pakuwon General Hospital so it is hoped that with this technology patients can be helped in terms of time when they go to poly at Pakuwon Hospital. Because the current system is facing various obstacles and problems. The purpose of this study is to implement an application for registration and queuing of patients so that patients who will seek treatment when they come to poly immediately get a queue number. This will have an impact on people's waiting time also in getting the queue number. This application is built with internet and mobile-based computer technology. Application Registration and queue of patients is built using the PHP programming language with framework code igniter supported by MySQL database. Users can access this application by using the app launcher on Android. This application is divided into 3 types of applications, namely applications with access rights as patients, applications with access rights as a bag. Registration, application with access rights as a Physician Assistant. These three applications have connectivity in the data flow.

Development of a data collection and management system in West Africa: challenges and sustainability

BackgroundDeveloping and sustaining a data collection and management system (DCMS) is difficult in malaria-endemic countries because of limitations in internet bandwidth, computer resources and numbers of trained personnel. The premise of this paper is that development of a DCMS in West Africa was a critically important outcome of the West African International Centers of Excellence for Malaria Research. The purposes of this paper are to make that information available to other investigators and to encourage the linkage of DCMSs to international research and Ministry of Health data systems and repositories.MethodsWe designed and implemented a DCMS to link study sites in Mali, Senegal and The Gambia. This system was based on case report forms for epidemiologic, entomologic, clinical and laboratory aspects of plasmodial infection and malarial disease for a longitudinal cohort study and included on-site training for Principal Investigators and Data Managers. Based on this experience, we propose guidelines for the design and sustainability of DCMSs in environments with limited resources and personnel.ResultsFrom 2012 to 2017, we performed biannual thick smear surveys for plasmodial infection, mosquito collections for anopheline biting rates and sporozoite rates and year-round passive case detection for malarial disease in four longitudinal cohorts with 7708 individuals and 918 households in Senegal, The Gambia and Mali. Major challenges included the development of uniform definitions and reporting, assessment of data entry error rates, unstable and limited internet access and software and technology maintenance. Strengths included entomologic collections linked to longitudinal cohort studies, on-site data centres and a cloud-based data repository.ConclusionsAt a time when research on diseases of poverty in low and middle-income countries is a global priority, the resources available to ensure accurate data collection and the electronic availability of those data remain severely limited. Based on our experience, we suggest the development of a regional DCMS. This approach is more economical than separate data centres and has the potential to improve data quality by encouraging shared case definitions, data validation strategies and analytic approaches including the molecular analysis of treatment successes and failures.

Artificial intelligence in Internet of things

Functioning of the Internet is persistently transforming from the Internet of computers (IoC) to the ‘Internet of things (IoT)’. Furthermore, massively interconnected systems, also known as cyber-physical systems (CPSs), are emerging from the assimilation of many facets like infrastructure, embedded devices, smart objects, humans, and physical environments. What the authors are heading to is a huge ‘Internet of Everything in a Smart Cyber Physical Earth’. IoT and CPS conjugated with ‘data science’ may emerge as the next ‘smart revolution’. The concern that arises then is to handle the huge data generated with the much weaker existing computation power. The research in data science and artificial intelligence (AI) has been striving to give an answer to this problem. Thus, IoT with AI can become a huge breakthrough. This is not just about saving money, smart things, reducing human effort, or any trending hype. This is much more than that – easing human life. There are, however, some serious issues like the security concerns and ethical issues which will go on plaguing IoT. The big picture is not how fascinating IoT with AI seems, but how the common people perceive it – a boon, a burden, or a threat.

Model Pengembangan Program Corporate Social Responsibility (CSR) “Broadband Learning Center” (BLC) Pada PT. Telkom

Companies need to establish a good image to the public so it can be profitable for his company. PT. Telekomunikasi Indonesia East Java Regional Division V has an obligation to be responsible for the gap and the Internet Computer Technology in Surabaya, Corporate Social Responsibility is Broadband Learning Center. The Macro Model Of Public Relations Evaluation models used to measure the development of a program that is conducted by a Public Relations company. The research method used is descriptive quantitative research. The population of this research is the public or users of Broadband Learning Center aged 17 - 60 years who knows CSR programs Telkom Broadband Learning Center on the assumption that respondents understand what is being researched that will affect the accuracy of the data generated. Sampling technique in this study using purposive sampling technique. Based on the sampling technique, the number of respondents obtained as many as 100 people. Based on the analysis of the results of a survey conducted by researchers of the development model of CSR Broadband Learning Center program, an overall total score of each indicator CSR program "Broadband Learning Center can be inferred include Corporate Social Responsibility program that develops a change in attitude, changes in behavior and level of consciousness DOI https://doi.org/10.33005/jdg.v7i1.1196

Virtualization in Cloud Computing

Cloud computing is emerging fastly and no doubt it is the next generation technology where humans will be using anywhere and anytime. In this internet world cloud computing is raising high by providing everything incense the required resources, applications, software, hardware, computing power to computing infrastructure, business process to control collaboration. Today clouds with virtualization are transforming IT. Apart of its popularity it has some concerns which are becoming huddles for its wider adoption. In this paper a study has been made on virtualization concerns.

Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

Rapid technological advances have revolutionized the industrial sector. These advances range from automation of industrial processes to autonomous industrial processes, where a human input is not required. Internet of Things (IoT), which has emerged a few years ago, has been embraced by industry, resulting in what is known as the Industrial Internet of Things (IIoT). IIoT refers to making industrial processes and entities part of the Internet. Restricting the definition of IIoT to manufacturing yields another subset of IoT, known as Industry 4.0. IIoT and Industry 4.0, will consist of sensor networks, actuators, robots, machines, appliances, business processes, and personnel. Hence, a lot of data of diverse nature would be generated. The industrial process requires most of the tasks to be performed locally because of delay and security requirements and structured data to be communicated over the Internet to web services and the cloud. To achieve this task, middleware support is required between the industrial environment and the cloud/web services. In this context, fog is a potential middleware that can be very useful for different industrial scenarios. Fog can provide local processing support with acceptable latency to actuators and robots in a manufacturing industry. Additionally, as industrial big data are often unstructured, it can be trimmed and refined by the fog locally, before sending it to the cloud. We present an architectural overview of IIoT and Industry 4.0. We discuss how fog can provide local computing support in the IIoT environment and the core elements and building blocks of IIoT. We also present a few interesting prospective use cases of IIoT. Finally, we discuss some emerging research challenges related to IIoT.

Content-Aware Cognitive Interference Control for Urban IoT Systems

A novel cognitive interference control framework for heterogeneous local access networks supporting computing and data processing in urban Internet of Things (IoT) systems is presented. The notion of cognitive content-aware interference control is introduced, where the transmission pattern of cognitive nodes is dynamically adapted to the state of “protected” IoT data streams. The state describes the performance degradation that interference would cause to algorithms processing the data if the cognitive nodes chose to transmit in the corresponding time period. The framework is instantiated for a case-study scenario, where device-to-device (D2D) and long-term evolution communications coexist on the same channel resource. A city-monitoring application is considered, where the state captures the type of frames within a multimedia video stream processed at the edge of the network to detect and track objects. Numerical results show that the proposed cognitive transmission strategy enables a significant throughput increase of local D2D communications for a target accuracy of the monitoring application.

Public servants’ use and evaluation of public library resources and services in Ogun State, Nigeria

Public library is meant to serve the needs of all and sundry in the society without any bias. This study examined the use of public library by public servants in Ogun State. The main objective of this study was to find out the level at which the public servants use the public library in Ogun State. The study adopted a descriptive survey design and simple random sampling techniques was used to select two thousand one hundred (2100) respondents (Public servants) in Ogun State. The state has nineteen (19) ministries with staff strength of twenty one thousand (21000). Questionnaire was used to collect data for the study, and Statistical Package in Social Sciences (SPSS) was used to compute the data gathered. Descriptive statistics with tables of frequencies and percentages were used to analyse the data. The study revealed that most of the public servants did not register with public library in the state. It was further revealed that the little percentage of the public servants that make use of the library are satisfied with most of their services, with the exception of internet access, computer and printing which services are relatively poor. It was recommended that orientation programme such as seminars and workshops on the usefulness of public library services should be organized to enlighten the public servants.Keywords: Public libraries, Public Servants, Library Services, Use, Evaluation

Mobile internet and cloud computing promotes the development of electronic health record

Currently, electronic health records (EHR) are largely created and maintained by physicians, and used just as an electronic record. In future, EHR will be a tool of information sharing and patients may participate in decision making for their own health with this tool. This article summarizes the concept of EHR, the problems it faces and how the mobile internet and cloud computing can promote the development of EHR. Key words: Medical informatics; Computer communication networks; Electronic health records

Big Data Privacy Preserving in Multi-Access Edge Computing for Heterogeneous Internet of Things

With the popularity of smart devices, multi-access edge computing (MEC) has become the mainstream of dealing with big data in heterogeneous Internet of Things (H-IoT). MEC makes full use of the computing power of edge nodes, which greatly reduces the computing pressure of data centers, and brings great convenience to the storage and processing of big data. However, it is easy to become the object of hacker attacks due to the lack of centralized management of distributed nodes. Once these nodes are compromised, a series of privacy issues can happen. In this article, we first overview the architecture of MEC for H-IoT. The MEC covers three-level advanced functional entities, including moblie edge (ME) system-level, ME host-level and ME network- level. Second, we draw our attention to the privacy issues in the MEC, especially in data aggregation and data mining. In addition, we consider machine learning privacy preserving as a case study in the application of MEC. Simulation results are shown to reveal the feasibility of the proposed method. Finally, we propose open issues for future work.

Multi-Access Mobile Edge Computing for Heterogeneous IoT

The articles in this special section focus on multi-access mobile edge computing (MA-MEC) for heterogeneous Internet of Things applications. These articles aim at soliciting high quality and unpublished work regarding recent advances in MA-MEC, with the main focus on addressing the fundamental design issues in MA-MEC, and the emerging paradigms and testbeds that use MA-MEC.The convergence of mobile Internet and wireless systems has witnessed an explosive growth in resource-hungry and computation-intensive services and applications, which cover a wide range of so-called heterogeneous Internet of Things (H-IoTs) systems including real-time video/audio surveillance, remote e-health systems, intelligent transportation systems, Internet of Vehicles, etc. Mobile edge computing, by placing various cloud resources (e.g., computational and storage resources) closer to smart devices/objects, has been envisioned as an enabling and highly promising technology to realize and reap the promising benefi ts of H-IoTs applications.

Collaborative handshaking approaches between internet of computing and internet of things towards a smart world: a review from 2009–2017

Internet of things (IoT) has been a noteworthy zone of research for empowering interconnection and joining the physical world through the Internet. At the beginning, it was used for single things but later advancements in different computing devices resulted in a new terminology called the internet of computing (IoC). In this paper, we review the latest progresses on IoT with IoC from a class review of published articles from 2009 to 2017. The review is classified alongside with (1) identification of users who are already in existence, (2) devices connected via various communication modes, (3) deterministic communication in IoT. The reviewed approaches are named as empirical, computing, innovative application and implementation approaches. The review shows that data stored in the cloud need to be mapped with geographic information system in order to fit with IoT and IoC. For IoT versus traditional communication approaches, it is found that reliable connection is one of the most emerging issues nowadays. It has been concluded that for the social consensus, IoC and IoT cooperating together are truly beneficial for upcoming years rather than just devices equipped with many sensor technologies. We hope to draw attention to this new topic with trends in the forthcoming era.