Existing IT Infrastructure Research Articles

Operating the Belle II Collaborative Services and Tools

In 2016 the Belle II collaboration reviewed and consolidated their collaborative services and tools. Services and tools were migrated into the existing IT infrastructure at DESY. Missing components were added, workflows adapted, and a membership management system was developed. Since the Belle II collaboration was already alive and working, the collaborative work could not be completely started from scratch. The introduction of new technologies - in particular up-to-date security mechanisms - required users to get used to new systems, workflows, and look-and-feels. In this contribution we review the migration process and thoroughly discussed experiences which we gained while supporting the daily work of the Belle II collaboration.

ЦИФРОВІЗАЦІЯ ЗАКЛАДУ ВИЩОЇ ОСВІТИ

The article discusses the process of digitization of higher education institution on the example of Borys Grinchenko Kyiv University and analyzes the main aspects of digital campus implementation. The perspective world educational technologies are described which development influences changes of the concept of management in modern educational establishments and in the educational process as a whole. Also described the main legislative decisions that may serve as a basis for transforming a higher education institution into a «digital campus». Regulatory documents of Borys Grinchenko Kyiv University identified. The existing IT infrastructure and the solutions of Grinchenko University is analyzed that can be the basis for the introduction of a «digital campus». The main components of the «digital campus» considered, which correspond to the implemented best solutions in the European educational space and at the same time satisfy the needs of the university. Analyzed the innovative solutions for the implementation of «digital campus», such as Almus Net, Classter, LMS 365, TESLA EDU, SMART HCM&LMS, ZEROBIT, and EXAMUS. The comparative analysis of the components of these solutions displayed for the construction of «digital campus». The main stages of implementation of the «digital campus» identified. Attention is paid to the fact that the construction of the digital campus should integrate the existing solutions as much as possible to ensure the comfort and convenience of participants in the educational process, implement new required solutions, each of which, thanks to unification into a single system, will ensure the functioning of a modern higher education institution, will work on its development and competitiveness. The created «digital campus» will ensure the functioning of the educational institution, the automation of all business processes, provide access to educational resources and facilitate successful management decisions.

INSIDe: Image recognition tool aimed at helping visually impaired people contextualize indoor environments

Visually impaired (VI) people face a set of challenges when trying to orient and contextualize themselves. Computer vision and mobile devices can be valuable tools to help them improve their quality of life. This work presents a tool based on computer vision and image recognition to assist VI people to better contextualize themselves indoors. The tool works as follows: user takes a picture $\rho$ using a mobile application; ρ is sent to the server; ρ is compared to a database of previously taken pictures; server returns metadata of the database image that is most similar to ρ; finally the mobile application gives an audio feedback based on the received metadata. Similarity test among database images and $\rho$ is based on the search of nearest neighbors in key points extracted from the images by SIFT descriptors. Three experiments are presented to support the feasibility of the tool. We believe our solution is a low cost, convenient approach that can leverage existing IT infrastructure, e.g. wireless networks, and does not require any physical adaptation in the environment where it will be used.

Evaluating a handheld decision support device in pediatric intensive care settings.

To evaluate end-user acceptance and the effect of a commercial handheld decision support device in pediatric intensive care settings. The technology, pac2, was designed to assist nurses in calculating medication dose volumes and infusion rates at the bedside. The devices, manufactured by InformMed Inc., were deployed in the pediatric and neonatal intensive care units in 2 health systems. This mixed methods study assessed end-user acceptance, as well as pac2's effect on the cognitive load associated with bedside dose calculations and the rate of administration errors. Towards this end, data were collected in both pre- and postimplementation phases, including through ethnographic observations, semistructured interviews, and surveys. Although participants desired a handheld decision support tool such as pac2, their use of pac2 was limited. The nature of the critical care environment, nurses' risk perceptions, and the usability of the technology emerged as major barriers to use. Data did not reveal significant differences in cognitive load or administration errors after pac2 was deployed. Despite its potential for reducing adverse medication events, the commercial standalone device evaluated in the study was not used by the nursing participants and thus had very limited effect. Our results have implications for the development and deployment of similar mobile decision support technologies. For example, they suggest that integrating the technology into hospitals' existing IT infrastructure and employing targeted implementation strategies may facilitate nurse acceptance. Ultimately, the usability of the design will be essential to reaping any potential benefits.

Integrated Application of Blockchain in the Electric Information Management System

Blockchain technology has been applied in many fields to improve the management and data security of the information systems. In this paper, we describe the applications of blockchain technology in Electric Management Information System. First, the components and structure of the blockchain framework are introduced. Then the blockchain based authentication application is studied to integrate with existing IT infrastructure. Finally, the benefit and limitations of the proposed integrated framework are analyzed. As industrial application research, this paper could give a reference example for the applications of blockchain in the data management system.

A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse

The explosive rise in technologies has revolutionised the way in which business operate, consumers buy, and the pace at which these activities take place. These advancements continue to have profound impact on business processes across the entire organisation. As such, Logistics and Supply Chain Management (LSCM) are also leveraging benefits from digitisation, allowing organisations to increase efficiency and productivity, whilst also providing greater transparency and accuracy in the movement of goods. While the warehouse is a key component within LSCM, warehousing research remains an understudied area within overall supply chain research, accounting for only a fraction of the overall research within this field. However, of the extant warehouse research, attention has largely been placed on warehouse design, performance and technology use, yet overlooking the determinants of Artificial Intelligence (AI) adoption within warehouses. Accordingly, through proposing an extension of the Technology–Organisation–Environment (TOE) framework, this research explores the barriers and opportunities of AI within the warehouse of a major retailer. The findings for this qualitative study reveal AI challenges resulting from a shortage of both skill and mind-set of operational management, while also uncovering the opportunities presented through existing IT infrastructure and pre-existing AI exposure of management.

The Potential of The Big Data Implementation, in Serbia, in the context of Marketing Research

Research question: Big Data represents a true business revolution in many areas, and, as such, in marketing research, as well. The subject of this study is the analysis of the existing stage, as well as of the achieved results in the implementation of the Big Data Technology in Serbia. Motivation: The success in managing the company depends on the ability to provide quality and comprehensive information by establishing personalized (1:1) communication with consumers on the global market in real or near real-time. This form of communication has become an imperative of the modern business decision-making process. Advanced Internet technologies, Cloud Computing (Cloud Technology), Big Data and Artificial Intelligence open a significant business potential for companies in Serbia to emerge on global markets. Idea: of this study is to perceive current business environment in Serbia through the prism of research development based on the Big Data technologies. Relevant hypotheses and conducted research have been set up with the aim of pointing to the potential of applying modern information-communication technologies, with an emphasis on artificial intelligence and the Big Data concept. Data: The survey was conducted on 154 business entities from the Serbian Business Register Agency’s database. The applied sampling method was a random analysis (selection was made randomly from the total number of selected companies, with the same probability of choice). Tools: An online survey was used, and respondents were contacted via e-mail. Findings: Research results, opinions and attitudes of managers, experts in the fields of marketing research and information technology, indicate a significant degree of justifiability of investments in new technologies in the Republic of Serbia and result in several proposals of certain measures and recommendations of incentives that should be conducted by the State. Contribution: The solutions in this paper are based upon the implementation of standardized procedures and advanced tools that could be used to overcome a "bottleneck" in the existing IT infrastructure, in order to enable a rapid collection and implementation of enabled data.

Knowledge Base Ontology Building For Fraud Detection Using Topic Modeling

Moving towards the digitization and cashless economy tests the existing IT infrastructure for security and fraud controls substantially. Transition from traditional to cashless economy requires to banks to have more secure system to fight fraud. To understand and transform the needs for more secure banking system it is necessary to understand the domain of fraud and create knowledge base for fraud. It helps bridge the gap between business level and IT levels of banking. So that anti-fraud regulations could be automatically imbibed in the system. Hence the paper focuses on analyzing existing fraud case documentations and understand the significant terms involved in the fraud. For this TF-IDF weighting, topic modeling with LDA is used for identifying the group of words (topic) representing particular type of fraud. Using these knowledge base ontology is extracted which can be used for building fraud detection system. Experiment is performed on extracted fraud documents and ontology is built using the latent topics identified.

Migrating the Belle II collaborative services and tools

The Belle II collaboration decided in 2016 to migrate its collaborative services and tools into the existing IT infrastructure at DESY. The goal was to reduce the maintenance effort for solutions operated by Belle II members as well as to deploy state-of-art technologies. In addition, some new services and tools were or will be introduced. Planning and migration work was carried out by small teams consisting of experts form Belle II and the involved IT divisions. The migration was successfully accomplished before the KEK computer centre replacement in August 2016.

A Holistic Decision Framework to Avoid Vendor Lock-in for Cloud SaaS Migration

Cloud computing offers an innovative business model to enterprise for IT services consumption and delivery. Software as a Service (SaaS) is one of the cloud offerings that attract organisations as a potential solution in reducing their IT cost. However, the vast diversity among the available cloud SaaS services makes it difficult for customers to decide whose vendor services to use or even to determine a valid basis for their selections. Moreover, this variety of cloud SaaS services has led to proprietary architectures and technologies being used by cloud vendors, increasing the risk of vendor lock-in for customers. Therefore, when enterprises interact with SaaS providers within the purview of the current cloud marketplace, they often encounter significant lock-in challenges to migrating and interconnecting cloud. Hence, the complexity and variety of cloud SaaS service offerings makes it imperative for businesses to use a clear and well understood decision process to procure, migrate and/or discontinue cloud services. To date, the expertise and technological solutions to simplify such transition and facilitate good decision making to avoid lock-in risks in the cloud are limited. Besides, little investigation has been carried out to provide a comprehensive decision framework to support enterprises on how to avoid lock-in risks when selecting and implementing cloud-based SaaS solutions within existing environments. Such decision framework is important to reduce complexity and variations in implementation patterns on the cloud provider side, while at the same time minimising potential switching cost for enterprises by resolving integration issues with existing IT infrastructures. This paper proposes a holistic 6-step decision framework that enables an enterprise to assess its current IT landscape for potential SaaS replacement, and provides effective strategies to mitigate vendor lock-in risks in cloud (SaaS) migration. The framework follows research findings and addresses the core requirements for choosing vendor-neutral interoperable and portable cloud services without the fear of vendor lock-in, and architectural decisions for secure SaaS migration. Therefore, the results of this research can help IT managers have a safe and effective migration to cloud computing SaaS environment.

A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing

Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber–physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a cognitive cyber–physical system and applying it to a concrete and well-known use case from the automotive industry. Our approach allows manufacturing tasks to be performed without human intervention, even if the available description of the environment—the world model—suffers from large uncertainties. Thus, the robot becomes an integral part of the MES, resulting in a highly flexible overall system.

Toward improved peptide feature detection in quantitative proteomics using stable isotope labeling.

Reliable detection of peptides in LC-MS data is a key algorithmic step in the analysis of quantitative proteomics experiments. While highly abundant peptides can be detected reliably by most modern software tools, there is much less agreement on medium and low-intensity peptides in a sample. The choice of software tools can have a big impact on the quantification of proteins, especially for proteins that appear in lower concentrations. However, in many experiments, it is precisely this region of less abundant but substantially regulated proteins that holds the biggest potential for discoveries. This is particularly true for discovery proteomics in the pharmacological sector with a specific interest in key regulatory proteins. In this viewpoint article, we discuss how the development of novel software algorithms allows us to study this region of the proteome with increased confidence. Reliable results are one of many aspects to be considered when deciding on a bioinformatics software platform. Deployment into existing IT infrastructures, compatibility with other software packages, scalability, automation, flexibility, and support need to be considered and are briefly addressed in this viewpoint article.

The organizational dynamics enabling patient portal impacts upon organizational performance and patient health: a qualitative study of Kaiser Permanente

BackgroundPatient portals may lead to enhanced disease management, health plan retention, changes in channel utilization, and lower environmental waste. However, despite growing research on patient portals and their effects, our understanding of the organizational dynamics that explain how effects come about is limited.MethodsThis paper uses qualitative methods to advance our understanding of the organizational dynamics that influence the impact of a patient portal on organizational performance and patient health. The study setting is Kaiser Permanente, the world’s largest not-for-profit integrated delivery system, which has been using a portal for over ten years. We interviewed eighteen physician leaders and executives particularly knowledgeable about the portal to learn about how they believe the patient portal works and what organizational factors affect its workings. Our analytical framework centered on two research questions. (1) How does the patient portal impact care delivery to produce the documented effects?; and (2) What are the important organizational factors that influence the patient portal’s development?ResultsWe identify five ways in which the patient portal may impact care delivery to produce reported effects. First, the portal’s ability to ease access to services improves some patients’ satisfaction as well as changes the way patients seek care. Second, the transparency and activation of information enable some patients to better manage their care. Third, care management may also be improved through augmented patient-physician interaction. This augmented interaction may also increase the ‘stickiness’ of some patients to their providers. Forth, a similar effect may be triggered by a closer connection between Kaiser Permanente and patients, which may reduce the likelihood that patients will switch health plans. Finally, the portal may induce efficiencies in physician workflow and administrative tasks, stimulating certain operational savings and deeper involvement of patients in medical decisions. Moreover, our analysis illuminated seven organizational factors of particular importance to the portal’s development - and thereby ability to impact care delivery: alignment with financial incentives, synergy with existing IT infrastructure and operations, physician-led governance, inclusive decision making and knowledge sharing, regional flexibility to implementation, continuous innovation, and emphasis on patient-centered design.ConclusionsThese findings show how organizational dynamics enable the patient portal to affect care delivery by summoning organization-wide support for and use of a portal that meets patient needs.

강원도 동계 스포츠 IT 융합 서비스 방안 연구

Abstract Recently, various types of information and communication technology (ICT) such as cloud computing, big data, and virtual reality have been progressed in the world. Also, it is expected that there are many domestic and foreign visitors in Gangwon-do due to the Pyeongchang winter olympic games in 2018. In this environment, it is necessary to improve the competitiveness of Gangwon-do in winter sports areas exploiting both existing IT infrastructure and application technologies. In this paper, for sustainable development of Gangwon-do winter sports IT industry after the Olympics, we propose efficient implementation methods of 3 winter sports IT convergence services and Gangwon-do ICT activation strategy. The proposed 3 winter sport s IT service areas are as follows. 1) Realistic winter sports IT service, 2) Winter sports medical IT service 3) Winter sports record analysis IT service. Keywords：Gangwon-Do, Sports IT, Winter Sports, Convergence Service, Winter Olympic 논문접수일：2014년 10월 14일 논문게재확정일：2014년 11월 18일논문수정일：2014년 11월 17일†교신저자, hojiniha@halla.ac.kr

Cost-Aware Cloud Bursting for Enterprise Applications

The high cost of provisioning resources to meet peak application demands has led to the widespread adoption of pay-as-you-go cloud computing services to handle workload fluctuations. Some enterprises with existing IT infrastructure employ a hybrid cloud model where the enterprise uses its own private resources for the majority of its computing, but then “bursts” into the cloud when local resources are insufficient. However, current commercial tools rely heavily on the system administrator’s knowledge to answer key questions such as when a cloud burst is needed and which applications must be moved to the cloud. In this article, we describe Seagull, a system designed to facilitate cloud bursting by determining which applications should be transitioned into the cloud and automating the movement process at the proper time. Seagull optimizes the bursting of applications using an optimization algorithm as well as a more efficient but approximate greedy heuristic. Seagull also optimizes the overhead of deploying applications into the cloud using an intelligent precopying mechanism that proactively replicates virtualized applications, lowering the bursting time from hours to minutes. Our evaluation shows over 100% improvement compared to naïve solutions but produces more expensive solutions compared to ILP. However, the scalability of our greedy algorithm is dramatically better as the number of VMs increase. Our evaluation illustrates scenarios where our prototype can reduce cloud costs by more than 45% when bursting to the cloud, and that the incremental cost added by precopying applications is offset by a burst time reduction of nearly 95%.

Using existing network infrastructure to estimate building occupancy and control plugged-in devices in user workspaces

Buildings are a major consumer of energy. We believe that energy can be saved with the notion of implicit occupancy sensing where existing IT infrastructure can be used to replace and/or supplement explicit dedicated sensors to determine building occupancy and drive building operation. Implicit sensing has the promise to be both lower in cost than explicit sensing based on PIR and ultrasound sensors and to offer additional useful data about the occupants of a building. Our implicit sensing methods are largely based on monitoring IP and MAC addresses in Wi-Fi access points and in routers, and then correlating these addresses to the occupancy of a floor, area, or room of a building. We experimentally evaluate the feasibility of this dual-use of IT infrastructure. We demonstrate an application of implicit sensing to sense the pending occupancy of a user workspace and automatically control the plugged-in devices in the workspace.

The Mechanism of “Big Data” Impact on Consumer Behavior

The growth of the network data is beyond the processing capacity of the existing IT infrastructure. At the same time, “big data” is also a major influence on consumer’s behavior. C2C e-commerce consumption pattern is experiencing a vigorous development time of the electronic commerce in China. Because of its low threshold of setting up a shop which is occupying less money, low operating costs and obvious price advantages, low-income groups are welcome to this pattern. In case, this article analyzed the influence from five aspects: consumer behavior in security system, information search, recommendation system, credit system, virtual experience.

Advantages and Challenges of Adopting Cloud Computing from an Enterprise Perspective

Abstract With the rapid development of processing and storage technologies and the success of the Internet, computing resources have become cheaper, more powerful and more available than ever before. This technological trend has enabled the realization of a new computing model called cloud computing, in which resources are provided as general utilities that can be leased and released by users through the Internet in an on-demand fashion. The organizations are gaining more experience in the cloud and they start to shift more core business functions onto cloud platforms. Because of this fact, we are seeing that cloud adoption is significantly more complex than we imagined initially, particularly in terms of data management, system integration and the management of multiple cloud providers. Cloud computing is of growing interest to companies around the globe, but many are finding greater costs and greater obstacles to the adoption of cloud computing than they anticipated. In this case, is cloud computing still able to deliver all the promises? In this paper we will analyze from a company's point of view the factors that need to be considered by an enterprise when making the decision of using cloud computing. Some of the companies are moving towards cloud computing just because it is the latest trend in information technology. On the other hand, other companies cannot even take into consideration the idea of having their sensitive data outside their premises. Both of these cases represent companies that are just not very well informed. We are not sustaining that cloud computing is a perfect solution for everybody, but adopting it or not should be result of a very well informed analysis. We will analyze the positive and negative aspects of each of the following factors: integration with existing IT infrastructure and existing software, costs, return on investment, performances, security. Also, we will correlate all these factors with the company size and business area in order to identify if or what type of cloud computing solution is suitable for their needs.

Studi Kasus Implementasi Service Oriented Architecture (SOA) di Credit Suisse

Credit Suisse Group (CSG) is a leading company engaged in global financial services. At the end of 90s IT infrastructure complexity of Credit Suisse has reached a critical situation. The existing IT infrastructure is no longer able to support the required business functionality. This leads to the introduction of an integrated architecture based on Service-Oriented Architecture (SOA). The purpose of this study is to learn how Credit Suisse successfully implements SOA both on a technical and organizational level. Analyses were performed by processing factual and reference data acquired. From the research, the successful implementation is due to clarity of interface, clarity of process, management commitment, and solid technology. Their success does not come easily since they also face obstacles and conflicts on the implementation.

Attitude of Users Towards E-Resources and Services in Engineering Colleges Affiliated to North Maharastra University

This paper deals with the use of e-resources by the students of engineering colleges affiliated to North Maharastra University, India. This paper gives user’s opinion about the importance of computer literacy and use of e-resources. It describes existing IT infrastructure facilities of the college libraries and users opinion about the need of training programmes. This study also describes the problems faced towards accessing of e-resources by the engineering college students community.