– The purpose of this paper is to investigate the factors that affect the adoption of cloud computing by firms belonging to the high‐tech industry. The eight factors examined in this study are relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure., – A questionnaire‐based survey was used to collect data from 111 firms belonging to the high‐tech industry in Taiwan. Relevant hypotheses were derived and tested by logistic regression analysis., – The findings revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing., – The research was conducted in the high‐tech industry, which may limit the generalisability of the findings., – The findings offer cloud computing service providers with a better understanding of what affects cloud computing adoption characteristics, with relevant insight on current promotions., – The research contributes to the application of new technology cloud computing adoption in the high‐tech industry through the use of a wide range of variables. The findings also help firms consider their information technologies investments when implementing cloud computing.

Understanding the determinants of cloud computing adoption

A survey on gaps, threat remediation challenges and some thoughts for proactive attack detection in cloud computing

Detecting outliers is a significant problem that has been studied in various research and application areas. Researchers continue to design robust schemes to provide solutions to detect outliers efficiently. In this survey, we present a comprehensive and organized review of the progress of outlier detection methods from 2000 to 2019. First, we offer the fundamental concepts of outlier detection and then categorize them into different techniques from diverse outlier detection techniques, such as distance-, clustering-, density-, ensemble-, and learning-based methods. In each category, we introduce some state-of-the-art outlier detection methods and further discuss them in detail in terms of their performance. Second, we delineate their pros, cons, and challenges to provide researchers with a concise overview of each technique and recommend solutions and possible research directions. This paper gives current progress of outlier detection techniques and provides a better understanding of the different outlier detection methods. The open research issues and challenges at the end will provide researchers with a clear path for the future of outlier detection methods.

Progress in Outlier Detection Techniques: A Survey

We present a descriptive literature review and classification scheme for cloud computing research. This includes 205 refereed journal articles published since the inception of cloud computing research. The articles are classified based on a scheme that consists of four main categories: technological issues, business issues, domains and applications, and conceptualising cloud computing. The results show that although current research is still skewed towards technological issues, new research themes regarding social and organisational implications are emerging. This review provides a reference source and classification scheme for IS researchers interested in cloud computing, and to indicate under-researched areas as well as future directions.

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A Descriptive Literature Review and Classification of Cloud Computing Research

In this review, the applications of molecularly imprinted polymer (MIP) materials in the area of electrochemical sensors have been explored. The designs of the MIPs containing different polymers, their preparation and their immobilization on the transducer surface have been discussed. Further, the employment of various transducers containing the MIPs based on different electrochemical techniques for determining analytes has been assessed. In addition, the general protocols for getting the electrochemical signal based on the binding ability of analyte with the MIPs have been given. The review ends with describing scope and limitations of the above electrochemical based MIP sensors.

Molecularly Imprinted Electrochemical Sensors

Today the field of cloud computing is gaining more recognition to the public and sometimes refers to as public utility which allows the user to focus on his actual business without wasting valuable time on installation and maintenance of other important devices, as the cloud service providers takes full responsibility of installation and maintenance of such devices. Cloud computing is meant to scale up or down, enhance quality of service (QoS), cost effective and also simplified user interface so that the user can appreciate the benefits behind cloud computing idea. In this paper we devel- op a new framework based on Max-Min algorithm which aims at distributing load to a set of virtual resource system using a particular balancing tech- nique.

/pdf/an-efficient-resource-management-in-cloud-computing-27xkynrxzy.pdf

An Efficient Resource Management in Cloud Computing

This report presents the general picture of how Control Network Programming can be effectively used for implementing various search strategies , both blind and informed. An interesting possibility is non -procedural solutions that can be developed for most local search algorithms. A generic solution is described for procedural implementations.

Proc edural and N on-Proc edural Impl ementation of Search Strat egi es in Control Ne twor k Programming

Course syllabuses are usually prepared by the instructors without any feedback observed and assembled from target students. More, even sometimes these syllabuses are used for many years with little alterations by the instructors. This situation affects the education negatively, because many of the students come with different backgrounds and interests on the content of the target course. In addition, knowledge level and profile of the students might change ever year according to their prior education curriculums or some others reasons. In enclosure, a good questionnaire which is prepared and applied to newly coming students to get their level of interests on the course, may be useful too much in order to make the good education plan for groups. In this paper, an assessment software assisted questionnaire is presented for Database Management Systems courses. Using the assessment software, gathered results are used to construct GEP (Group Education Plans) for classes, and they can also be used to individualize for each student for their laboratory trainings. Assessing current level of the students using computer software assists to analyze results in many aspects and to arrange the objectives according to level of the class. Finally, a new course layout which is quite relevant to students, might be created.

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Preparing and updating group education plans using questionnaire for computer related courses

Course descriptions prepared by the lecturers in the beginning of the academic year do not get any feed back from the students enrolled it. These syllabuses are not only used for the future semesters, but also used by the other lecturers without even making any changes. This causes a negative effect on the student education since many of the students come with the different backgrounds and interests for the content of the course. In addition to the changing abilities and capabilities of the students every year, there can be administrative changes in the official curriculum. In our approach, we prepared a detailed dynamic web site together with questionnaire filled in advance, that will be applied to the new students to determine their knowledge level. This will also facilitate the preparatory reviews for the lecturers to create a satisfactory education plan based on the student feedback. In this paper, a software assisted questionnaire form through a dynamically updated web page is presented for Computer Networks course. Assessing current level of the students helps to analyze and improve results in many aspects and converges the objectives of the students and the course teacher.

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Tuncay Ercan

Papers

An Efficient Resource Management in Cloud Computing

Proc edural and N on-Proc edural Impl ementation of Search Strat egi es in Control Ne twor k Programming

Preparing and updating group education plans using questionnaire for computer related courses

Software Assisted Syllabus Preparation for Computer Networks Courses