Role of Business Intelligence and Knowledge Management in Solving Business Problems

The term “Business intelligence” is described as a plan or a strategy where the operations like reporting, data analysis, data mining, event processing are performed to improve the production and growth of a business enterprise or a business entity. And on the other hand, the “Knowledge management” is explained as well-organized management of resources and information within a commercial organization it can be a business too. Almost all business will have limitations and challenges which can be also known as the business problems. One of the main business problem is demand, the business plans must work according to the demand of the consumers. Analyzing the demand would provide the solutions for queries like what is the business trend? What is the need of the users? What should be the improvement make in the production? Where is the current position of the enterprise? And who all will be the competitors? For the predictive analysis a dataset of bitcoin is taken. The major aim of the study is to implement the strategies to overcome the business problems mainly the demand prediction. And the objective is to find out the relevant issues and the remedies by using knowledge management and business intelligence to the common business problems. The dataset has columns called lowest price, highest price, open price, close price, trading volume and market capital. The research methodology used is predictive analysis using PCA and K-means clustering algorithm. By this dataset predictive plots are developed as achieved results for easy analysis by using research methodology. PCA and K-means are the algorithm used for accurate prediction. The importance of study is to predict the future sale, as it is very essential for a business enterprise to find future demand so that the organization can improve production

The Role of Smart Systems in Enhancing the Performance of Knowledge Management in Libraries Based on the Adoption of Using Expert System and Robots

Purpose: This study aims to enhance the performance of Knowledge management (KM). Additionally, the advantages and the applications of this export system and the smart systems are analyzed.   Theoretical framework: Selecting an algorithm isn’t an easy process. With a deep exploration of techniques and algorithms, the appropriate algorithm should be chosen and implemented to ascertain the solution for the problems like analyzing the trend of the business, identifying the age group, and finding the most desired articles and publications.   Design/methodology/approach: Contented and Expressive review approaches are implemented to conduct the research. The investigators significantly studied the materials associated with robots and expert systems in the reference to knowledge management in libraries. The results are obtained using the data visualization tool tableau. the Genetic algorithm is also used to analyze the results.   Findings: Smart systems are not easy to implement in knowledge management because knowledge management contains a large number of datasets. It has to be categorized first, then needs to be analyzed and the decisions must be taken accordingly.   Research, Practical & Social implications: The expert systems and the robots are to be implemented in the KM so the knowledge management will have enhanced performance with the help of the implementation of smart systems.   Originality/value:  In the study, the Genetic algorithm is used to find the analysis results. This algorithm was chosen because it works well in a noisy environment and is also easy to understand along with this GA is compared with the neural network algorithm

Comparison of Self-Reported Depression and Anxiety Scores Between U.S. Households with and Without Children at Early And Later Stages of The Covid-19 Pandemic

Parents in particular, are disproportionately affected by the 2019 coronavirus pandemic and the lockdowns that followed. Parents had to find a way to balance work, teaching, and taking care of their kids when schools were forced to close for safety reasons. While changes in parents\u27 mental health have been the subject of a number of studies, there have been no studies comparing the level of depression and anxiety experienced by parents with and without children below the age of 18 years in the United States. Data for this study came from Households Pulse Survey (HPS) (week 2 N = 41,996; week 38 N = 59833), an online survey assessing health-related behavioral outcomes as well as self-reported changes caused by COVID-19 that was completed by adults in the U.S. In the first analysis, the study found no statistically significant difference in self-reported scores for both anxiety and depression between parents/guardians with and without children below 18 years old in the household both at the early and later phases of the pandemic. However, a greater percentage of households with children reported experiencing anxiety, depression, taking mental health prescription medication, receiving professional mental health services, or seeking mental health services and not getting any during the pandemic. Using the same sample of respondents, the study determined in the second assessment that both anxiety and depression scores decreased over time. The study found a correlation between higher mean scores of depression and anxiety and the presence of children and adolescents below 18 years old in the household. However, shared stress factors affected this association. During and after the pandemic, parents/guardians living with children should receive assistance, as findings demonstrate

Challenges of Applying the Teaching Methodology of (CELTA) Productive Skills in a Poor Learning Environment and a Fragile Infrastructure Region of Darfur, Sudan

The present study aims at investigating challenges of applying the teaching methodology of (CELTA) productive skills in a poor learning environment and a fragile infrastructure region of Darfur, Sudan. (CELTA) is a teacher training course that consists of 200 guided learning hours including 6 hours of teaching practice and stands for “Certificate in Teaching English to Speakers of Other Languages”. Candidates who apply for the course aim at acquiring the knowledge and the familiarity of the effective teaching principles. However, applying the methodology of such an internationally recognized qualification that addresses the communicative language learning requires intensive usage of some modern teaching materials. Accordingly, its applicability seems extremely challenging in a poor learning environment with a fragile infrastructure similar to the situation of Darfur region. Furthermore, the difficulties of its implementation definitely prevent hundreds of students from learning facilitates and opportunities that are only attainable via courses in which the learners’ needs are highly considered. We can also be certain that through the application of such a course student develops learning speaking and writing skills respectively simply because the course methodology provides a great opportunity of practicing the language compared to the traditional teaching methodologies. In this study the researcher is reflecting on his experience in teaching EFL via utilizing (CLT) techniques in such a way CELTA course is taught. Furthermore, the researcher aims at illustrating the importance of reducing teacher’s (TTT) and increasing the (STT) in EFL classes in Darfur, Sudan. The study also attempts to highlight the role of the private sector and voluntary organizations in promoting the educational process in the region. We can therefore say that the difficulties mentioned above have begun to diminish with the presence of some voluntary organizations such as Malam Darfur Peace and Development.A qualitative method for data collection and analysis is adapted in which the researcher interviews some EFL instructors who are currently based in KSA and actually happened to CELTA qualification. The interview questions are conducted to examine their experiences on how the methodology of this course is applicable in different contexts. Finally, the study resulted into the following findings:Teaching and learning the (CELTA) productive skills in a poor learning environment is difficult.Still traditional teaching methods is dominating the EFL classes in Darfur, Sudan.Some voluntary organizations regularly contribute to the development of the learning environment in the region of Darfur

A Proposal to Build a Knowledge Management System Based on the Service Approach in the Context of Academic Library Digitalization at Jazan University - Saudi Arabia

In the previous decade, most of the major universities and public library systems have switched over to computers. However, almost all these library systems follow traditional implementation approaches which make it very difficult for them to interact with other systems or migrate to emerging technologies. Also, while most of the library systems do provide online, remote and public access catalogues for knowledge but they have still not utilized the power of cutting edge technologies to take complete advantage of the resources of virtual world. The subject of digital library includes online catalogues, real-time databases etc, while being used extensively in many fields, are still relatively unexplored in the academic world. In order to create a system which provides integrative, normative, reliability and inclusiveness with latest features yet remains open for modifications and extensions. It is important to choose an implementation approach which supports interoperability, abstraction and loose coupling of components and resources. Towards this end, Service oriented architectural approach (SOA) has proved to be very successful in fulfilling these needs in several areas. The idea behind this study is to propose a complete digital library and information services based learning environment using the SOA approach to apply for the academic libraries resources of the Jazan University so that gaps in terms of knowledge management as well as other services needs can be fulfilled with a single centralized architecture and framework

Black Hole attack Detection using fuzzy based IDS

In the past few years, an evolution in the wireless communication has been emerged, along with the evolution a new type with large potential application of wireless network appears, which is the Mobile Ad-Hoc Network (MANET). Black hole attack consider one of the most affected kind on MANET. Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, an optimization of a fuzzy based intrusion detection system is proposed which automate the process of producing a fuzzy system by using an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the initialization of the FIS and then optimize this initialized system by using Genetic Algorithm (GA). In addition, a normal estimated fuzzy based IDS is introduces to see the effect of the optimization on the system. From this study, it is proven that the optimized proposed IDS perform better that the normal estimated systems

FLIPPED LEARNING IN ELT: EXPERIENCES FROM OMAN

Background and Purpose: Recently, flipped learning has become prevalent as a teaching and learning approach in international educational settings. A commonly cited advantage is to do self-study at home and to spend valuable classroom time on meaningful interactive learning activities. After the start of Covid-19 pandemic, the sudden transition to online teaching required many institutions to adopt a flipped learning approach. The current study was conducted at one of such institutions, namely Dhofar University in Oman. The aim of this paper is to identify the challenges met by both teachers and students using flipped learning during this transition as well as the solutions they developed to cope with them.   Methodology: This study implemented a mixed methods design for which the data were collected from two questionnaires and semi-structured interviews. One questionnaire was for teachers with 14 responses while the other was for students and could obtain responses from 68 students from the target population. From the list of teacher respondents, 10 were interviewed for deeper discussion of flipped learning context. The Questionnaires results were statistically calculated and descriptively analysed, whereas the interviews were thematically scrutinized.   Findings: The researchers found several major challenges including increased workload, lack of training, resistance to change, lacking IT skills, technical issues, non-completion of homework tasks and non-participation in live sessions. Teachers' resilience in the face of these challenges was noteworthy; especially in the form of peer support groups. The suggestions made by the teaching faculty for solutions are reported and discussed in the relevant sections of the article with reference to various research studies from different contexts.   Contributions: Despite the small scale and the specific context of the study, the results and discussion provide useful food for thought to educational practitioners and decision makers in wider international contexts when it comes to flipped learning challenges and coping mechanisms.    Keywords: Flipped learning, ELT, challenges, solutions, higher education.   Cite as: Eissa, A., Yapar, O., & Abugohar, M. (2023). Flipped learning in ELT: Experiences from Oman. Journal of Nusantara Studies, 8(2), 180-200. http://dx.doi.org/10.24200/jonus.vol8iss2pp180-20

Genetic Algorithm Optimization Model for Determining the Probability of Failure on Demand of the Safety Instrumented System

A more accurate determination for the Probability of Failure on Demand (PFD) of the Safety Instrumented System (SIS) contributes to more SIS realiability, thereby ensuring more safety and lower cost. IEC 61508 and ISA TR.84.02 provide the PFD detemination formulas. However, these formulas suffer from an uncertaity issue due to the inclusion of uncertainty sources, which, including high redundant systems architectures, cannot be assessed, have perfect proof test assumption, and are neglegted in partial stroke testing (PST) of impact on the system PFD. On the other hand, determining the values of PFD variables to achieve the target risk reduction involves daunting efforts and consumes time. This paper proposes a new approach for system PFD determination and PFD variables optimization that contributes to reduce the uncertainty problem. A higher redundant system can be assessed by generalizing the PFD formula into KooN architecture without neglecting the diagnostic coverage factor (DC) and common cause failures (CCF). In order to simulate the proof test effectiveness, the Proof Test Coverage (PTC) factor has been incorporated into the formula. Additionally, the system PFD value has been improved by incorporating PST for the final control element into the formula. The new developed formula is modelled using the Genetic Algorithm (GA) artificial technique. The GA model saves time and effort to examine system PFD and estimate near optimal values for PFD variables. The proposed model has been applicated on SIS design for crude oil test separator using MATLAB. The comparison between the proposed model and PFD formulas provided by IEC 61508 and ISA TR.84.02 showed that the proposed GA model can assess any system structure and simulate industrial reality. Furthermore, the cost and associated implementation testing activities are reduced

Determining of some physical and mechanical properties for designing tomato fruits cutting machine

الهدف من هذه الدراسة هو دراسة بعض الخصائص الفيزيائية والميكانيكية لثلاثة أصناف من الطماطم (نسمة ، ماسة ، 2020) للمساعدة في تصميم وتطوير آلة محددة لتقطيع الطماطم إلى نصفين متطابقين لاستخدامها في التجفيف الشمسي المفتوح. . تم تقدير الخواص عند محتوى رطوبة ثابت لثلاثة أصناف طازجة (نسمة ، ماسة ، 2020) من الطماطم عند 62.57 ، 68.58 ، 69.36٪ ديسيبل على التوالي. أظهرت النتائج أن متوسط قيمة الأبعاد المحورية ، المرتفع (H) ، القطر الأكبر (D max .) ، والقطر الأدنى (D min)..) من العينات كانت 73.98 و 69.26 و 61.03 ملم و 63.28 و 59.89 و 53.32 ملم ، و 70.99 و 53.86 و 49.60 ملم لأصناف ثمار الطماطم نسما وماسة و 2020 على التوالي. بلغ متوسط قيمة القطر الحسابي ، القطر الهندسي لثلاثة أصناف (نسمة ، ماسة ، 2020) للطماطم 69.26 و 58.76 و 58.11 و 67.69 و 58.52 و 57.33 على التوالي. وبلغ متوسط قيمة الكتلة والكثافة 181.74 و 120.14 و 109.96 و 0.991 و 0.991 و 0.972 على التوالي. في حين؛ متوسط قيمة مساحة السطح ومعامل التعبئة والكروية ونسبة العرض إلى الارتفاع كانت 144.61 ، 107.93 ، 103.65. ، 0.533 ، 0.572 ، 0.562. ، 92.13 ، 92.67 ، 81.11 ، 94.48 ، 94.99 ، 76.39 على التوالي لأصناف (نسمة ، ماسة). و 2020). كانت أدنى قيم لمعامل الاحتكاك الساكن 0.427 ، 0.266 ، 0.242 مع الخشب الرقائقي بينما أعلى قيمة كانت 0.566 ، 0.310 ، 0. 388 مطاط من ثلاثة أصناف (نسمة ، ماسة ، 2020) على التوالي. وتعني قيم الصلابة كانت 4.70 و 5.95 و 4.9 نيوتن / سم2 لأصناف (نسمة ، ماسة ، 2020) على التوالي