I need to stress that maintaining continuous IT infrastructure and application availability is critical in today's fast-growing digital world. Conventional observability and incident handling tools are outdated, slow, and mostly manual, which cannot effectively address the new and challenging world. Therefore, this paper examines how next-generation artificial intelligence and deep learning methods can be applied to improve the ability to observe and manage incidents before they occur. Utilizing the all-encompassing simulation reports, the real-time scenario analysis, and the graphical representations, we prove the applicability and functionality of those innovative technologies with the power of anticipating, detecting, and remedying those events before they affect the end-users. In addition, we discuss the issues related to data, models, and systems for these technologies and explain the proper ways to cope with them. Consequently, the research points out how using AI and deep learning enhances the effectiveness and efficiency of handling incidents, leading to more robust IT environments.

In this paper, we establish a common fixed-point theorem for six mappings in symmetric spaces with compatible mapping of type (E) and occasionally weakly compatible mappings. Our work extends the results of Rajopadhyaya et al. [23,25], Aamri and Moutawakil [2] and other similar results in semi-metric space. 2020 Mathematical Sciences Classification: 54H25, 47H10

Detection of tissues from MR brain images is quite difficult task in medical field applications. Segmentation is utilized to detect the tissues accurately. Many algorithms have been presented to detect the tissues from the MR brain images. Most of them were remained failure due to their inaccurate results. To resolve this problem, an analysis of tissues detection in MR images using hybridclustering with estimate arguing (HC-EA) is proposed. Our proposed methodology consists of pre-processing, tissues detection and calculating the estimated area of clustered tissues. Extensive simulated analysis shown that the effectiveness of proposed hybrid clustering approach. Our mainconcentration is on detection of multi-tissues with an enhanced accuracy over conventional clustering algorithms like fuzzy c- means (FCM), K-means and manual segmentation.

WSN establishes an essential role in industrial applications. WSN consists of multiple tiny sensor nodes (SNs), which are organized in an outlying area.These sensor nodes consist of battery and thus it’s very challenging to interchange these SNs in a brassy environment once deployed.Therefore, in order to increase the network life, the sensor node energy needs to be preserved. Thus, in some protocols these wsn’s nodes grouped to form a cluster for efficient communication. In hierarchical approach,there aretwo concepts- one based on cluster and other one based on grid concepts. In cluster-based concepts, SN’s assembled to form clusters, where nodes having more residual energy become a leader of the cluster and thus known as Cluster Head. Thus, the network is separatedinto virtual grids in case of a grid based concept. This paper discusses the hierarchical routing protocol, its design challenge andan advantages and disadvantages of protocols.

The purposes of this research were to study the inventory management factors affecting the competitive advantageand confirm the inventory management factors affecting the competitive advantage. This research was a mixed methods research.First, the quantitative data was collected from the sample of 280 small and medium companies in Thailand. This research focusedon 14 observable variables. Then, the qualitative data was collected from nine key informants who were the experts in theinventory management field. The results indicated that the structural equation model was consistent and harmonious with theempirical data with the model consistency indices as follows: 2= 106.32, df = 69, 2/ df = 1.54, CFI = 0.99, GFI = 0.95, SRMR= 0.042, RMSEA = 0.044. Furthermore, the inventory control systems had the greatest influence on the competitive advantage,followed by inventory control practices, and information technology, respectively.

The ushering in of 21st century has on one hand increased the challenges for the learners and on the other hand enhanced awareness of competencies & skills. With the emergent need to acquire optimum employability skills, outcome-based education is much in demand. Teachers and parents can give an eminent gift to their children by letting them adopt some supportive behaviors to enhance intuition.It is believed that intuition can pre-dominantly serve decision-making, problem-solving and creativity (Dane & Pratt,2009) as intuition can spontaneously generate ideas, alternatives or solutions (Sadler-Smith, 2004). Therefore, intuition seems indispensable to be used in teaching learning pedagogy. The extent to which one is able to access and utilize the non-conscious mind (Strick &Dijksterhuis, 2011), decides the effectiveness of intuition, and some experts argue that this can be enhanced (e.g.,Tomasino, 2011). Thispaper explores intuitive behavior of learner and teacher and an attempt to integrate strategies to enhance learning capacities. An attempt is made to view Intuition help teachers to sense pupils’ needs, engage more easily and effortlessly with them, and prevent conflicts.

: Software Quality is the key priority of today’s marketplace and software development organization to which a system, technique, or factor meets particular requirements and conditions. Soft computing techniques play a vital role in developing software engineering applications. In this paper, we have identified five parameters: Reliability, Efficiency, Usability, Maintainability, and Portability for accessing the level of quality of software. A fuzzy logic-based intelligent identification methodology has been proposed to access the quality of particular software-based on five parameters. The proposed identification scheme takes these five parameters as input and predicts the quality of the software using the fuzzy rule base which is generated using various studies. As this scheme takes five inputs and each input is divided into three regions i.e. ‘Low’, ‘Medium’, ‘High’ and thus a total of 35 i.e. 243 rules has been generated to analyze the software quality. Furthermore, Mamdani fuzzy model has been used as the reference model. To show the effectiveness of the proposed methodology, simulation results have been performed in MATLAB, which shows that the software's quality closely matches with the actual one.

Abstract: The following research work deals with a special type of Birkhoff interpolation problem in which we have 3 set of data prescribed in the unit interval I = [0, 1]. Data values are the function value, first derivatives and fifth derivatives prescribed at nodes of the unit interval. We obtained a unique spline interpolating the given data along with the convergence problem.

The agile product development methodology is a series of concepts used for the creation of applications. In the creation of agile applications, strategies evolve by cooperation of self-organizing, cross-functional teams using suitable methods for their context. This paper provides principles that should be implemented in the agile product creation phase. Approximately 500 agile app engineers across the globe have engaged in the study. A questionnaire pertaining to the different protection practices to be implemented during each process of agile software creation was demanded in the survey. Based on this analysis, we have carried out the most effective and useful compliance practices that can be implemented across the multiple phases of agile software development. 80% of agile developers voted for initial preparation, which is an essential protection practice to be implemented during the pre-requirement process. Similarly, 75 per cent said that protection criteria during the requirement process, 95 per cent opted for risk analysis during the design phase, 80 per cent said that coding guidelines during the development phase, 62 per cent said that they defined, conducted and enforced safety checks during the testing phase, and 77 per cent said that the final safety check during the release phase would be integrated during the various agile software phases. The proposed analysis overcomes the problems of agile design and protection by offering a simple overview of the security practices implemented throughout the multiple phases of software growth. We have bridge-in, a protection difference between the conventional paradigm of waterfalls and the in-practice agile model of growth.

Puṟanāṉūṟu is a historical document that serves as a record of the rich cultural heritage of the ancient Tamil civilization. It is filled with ethical guidelines that will serve as guidelines to live by till the end of human civilization. Seventeen poems in Puṟanāṉūṟu are considered a part of the Poruṇmoḻikkāñci section. This essay will analyse the ethical guidelines given to rulers on how to rule and to citizens on how to be good citizens.