Globalisation and rapid environmental change have created many challenges for public and private organisations across Iraq as a developing country, particularly in the higher education sector. This includes, for example, decreases in government funding; increased demand for higher education; a need for economic transformation, and related competitiveness of organizations. Such challenges require exceptional leaders and strategic planning in order to take action to improve. In Iraq, the higher education sector is still one of the main foundations in progressing the knowledge economy. Studies into leadership style, strategic planning processes, and the importance of leadership and organisational culture to an organisation’s success have been used to assist both public and private Iraqi colleges in responding to the challenges they face. Although, some studies have examined the interaction between leadership and strategic planning, and leadership and organisational success, there has been no empirical study that has investigated how these three variables interact together. Thus, this study aimed, firstly, to identify the current leadership styles and strategic planning processes in the colleges and the challenges they faced, and to gain an understanding from the perspective of the senior leaders themselves as to how they might best respond to the current situation. Secondly, based on the participants’ experiences, knowledge and perceptions, the study aimed to identify implications for both practice and policy to help improve the colleges’ outcomes. The study involved a mixed-methods approach and was conducted in two stages. During the first stage, the researcher gathered quantitative data by administering a survey package to 129 leaders (deans, associate deans, and heads of departments) across both public and private colleges in the capital city of Baghdad. During the second stage, the researcher gathered qualitative data to more deeply explore the survey results by conducting individual interviews with a sub-sample of 21 leaders from both college types (ten public and 11 private). In the data analyses stages, both descriptive statistics and inferential statistics were applied to compiling tables and charts, and to test hypotheses, by employing the Statistical Package for Social Sciences (SPSS), Microsoft Excel, and NVivo. The results of study showed that both transformational and transactional leadership styles played a varied and vital role in the colleges’ strategic planning processes, and in turn their success. The fact that private colleges were ‘for profit’ and public colleges were ‘not for profit’, as well as their contrasting funding models, highlighted key differences between the two college types’ leadership and general modus operandi. While it was found that both transformative leadership and transactional leadership styles were necessary to address the challenges colleges faced in the Iraqi educational context, the impetus for change extended far beyond the need for professional development of leaders. The embracing of information communication technologies, and reliable Internet was seen as necessary in all aspects of the colleges’ work and provision for teaching and learning, and students’ success. This applied to both college types along with the need for closer adherence to government regulations and more focused government coordination of colleges’ administrative functions. Furthermore, implications for making successful improvements to practice also identified the need to manage the challenge of sociocultural influences on the appointments and promotions of leaders. It was concluded that a greater emphasis on teamwork and provision of incentives for staff, along with a ‘boost’ to pedagogy and practice, which could be provided through the adoption of information communication technologies and appropriate professional development strategies, would enhance the colleges’ ranks and the status of their qualifications. Also, theoretically, the study offers a value-add to leadership, strategic planning process, and organisational success literature in the form of a conceptual model that links these variables in the context of Iraqi higher education sector.
Most intrusion detection systems are signature based that work similar to anti-virus but they are unable to detect the zero-day attacks. The importance of the anomaly based IDS has raised because of its ability to deal with the unknown attacks. However smart attacks are appeared to compromise the detection ability of the anomaly based IDS. By considering these weak points the proposed
system is developed to overcome them. The proposed system is a development to the well-known payload anomaly detector (PAYL). By
combining two stages with the PAYL detector, it gives good detection ability and acceptable ratio of false positive. The proposed system improve the models recognition ability in the PAYL detector, for a filtered unencrypt
The goal of this paper is to design a robust controller for controlling a pendulum
system. The control of nonlinear systems is a common problem that is facing the researchers in control systems design. The Sliding Mode Controller (SMC) is the best solution for controlling a nonlinear system. The classical SMC consists from two phases. The first phase is the reaching phase and the second is the sliding phase. The SMC suffers from the chattering phenomenon which is considered as a severe problem and undesirable property. It is a zigzag motion along the switching surface. In this paper, the chattering is reduced by using a saturation function instead of sign function. In spite of SMC is a good method for controlling a nonlinear system b
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The COVID-19 pandemic has necessitated new methods for controlling the spread of the virus, and machine learning (ML) holds promise in this regard. Our study aims to explore the latest ML algorithms utilized for COVID-19 prediction, with a focus on their potential to optimize decision-making and resource allocation during peak periods of the pandemic. Our review stands out from others as it concentrates primarily on ML methods for disease prediction.To conduct this scoping review, we performed a Google Scholar literature search using "COVID-19," "prediction," and "machine learning" as keywords, with a custom range from 2020 to 2022. Of the 99 articles that were screened for eligibility, we selected 20 for the final review.Our system
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Malware represents one of the dangerous threats to computer security. Dynamic analysis has difficulties in detecting unknown malware. This paper developed an integrated multi – layer detection approach to provide more accuracy in detecting malware. User interface integrated with Virus Total was designed as a first layer which represented a warning system for malware infection, Malware data base within malware samples as a second layer, Cuckoo as a third layer, Bull guard as a fourth layer and IDA pro as a fifth layer. The results showed that the use of fifth layers was better than the use of a single detector without merging. For example, the efficiency of the proposed approach is 100% compared with 18% and 63% of Virus Total and Bel
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Any software application can be divided into four distinct interconnected domains namely, problem domain, usage domain, development domain and system domain. A methodology for assistive technology software development is presented here that seeks to provide a framework for requirements elicitation studies together with their subsequent mapping implementing use-case driven object-oriented analysis for component based software architectures. Early feedback on user interface components effectiveness is adopted through process usability evaluation. A model is suggested that consists of the three environments; problem, conceptual, and representational environments or worlds. This model aims to emphasize on the relationship between the objects
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The Internet of Things (IoT) is an information network that connects gadgets and sensors to allow new autonomous tasks. The Industrial Internet of Things (IIoT) refers to the integration of IoT with industrial applications. Some vital infrastructures, such as water delivery networks, use IIoT. The scattered topology of IIoT and resource limits of edge computing provide new difficulties to traditional data storage, transport, and security protection with the rapid expansion of the IIoT. In this paper, a recovery mechanism to recover the edge network failure is proposed by considering repair cost and computational demands. The NP-hard problem was divided into interdependent major and minor problems that could be solved in polynomial t
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