Performance Prediction of Computer Science Students in Capstone Software Engineering Course Through Educational Data Mining

Educational data mining has been extensively used to predict students’ performance in university courses to plan improvements in teaching and learning processes, achieve academic goals, and timely support interventions. Computer Science (CS) courses focus on promoting problem solving skills through writing of software code and developing solutions using computing technologies. Within a four-year CS curriculum, the sequencing of courses is deliberately designed so that knowledge gained in a prerequisite lower level course is critical for success in upper-level courses. Overall, the CS curriculum prepares the students for a capstone experience in a final year Software Engineering (SE) course. The student success in SE course is dependent on skills such as requirement analysis, design, implementation, and testing gained in lower-level prerequisite courses. In this paper, we analyze grades data of 531 students in all under-graduate CS courses at a public university in the United States over a period of 8 years (2010 to 2018). Statistical analysis techniques including multiple linear regression, Pearson product-moment correlation coefficient, and paired samples t-test are used to analyze the data. The performance of students in SE course is investigated based on their grades in sequence of prerequisite courses including CS I, CS II, Data Structures and Object-oriented Programming. These prerequisite courses teach and test fundamental and advanced programming skills essential for success in SE course. The analysis shows CS II is a significant predictor of students’ success in the SE course. We also investigate the relationship between study of theoretical concepts and their application by examining the correlation between CS II (theory) and Data Structures (application) courses. Results shows a strong and positive correlation between students’ academic performance in the Data Structures course and CS I. We also observe the correlation between CS I and CS II. CS I builds fundamental concepts such as syntax, data types, control structures, selection statements, functions, and recursion while CS II focuses on advanced tools to use the concepts studied in CS I for problem solving. The results indicate a significant difference in mean grades in both courses. Conclusion, interpretations, and implications of these findings for the CS students will be discussed in detail in the full paper

Design and Simulation of Cascaded Class-A Microwave Power Amplifier

Microwave power amplifiers are the most significant components in wireless communications systems. As the technology continue to progress, the designers are facing new challenges and opportunities. The purpose of this work is to push the limits of efficiency and bandwidth of power amplifiers. The objective of this research is to design and build a prototype two stage Microwave power amplifier operated at 2.4 GHz with a linear region of operation up to our desired output of 0.5 watt or 27 dBm. The transistor used in the first stage is BFP540 while the output power of the first stage is the input of the second stage in which the ATF50189 transistor is used to for amplification. All the simulations and readings are taken by using AWR Microwave Office software. By using the load line Rl and the biasing points are achieved for both stages. The applications of our proposed device include many products in the field of microwave communications. One of the important applications of a Microwave power amplifier is in the output stage of a transmitter where a signal needs amplification before it is transmitted.DOI:http://dx.doi.org/10.11591/ijece.v3i5.364

Historical Evolution of Shia Urdu Majalis in Pakistan

Shia majalis is a broad term which encompasses variety of religious gatherings adorned with diversity of speech acts. In Pakistan, Shia majalis are performed into different lingual and cultural backgrounds. Urdu majalis surpass the rest of lingual expressions in the popularity and number of performances. This paper, after describing the language based ontological and epistemological differences in the performance of majalis, argues that a remarkable change has been occurred in the composition and commencement of Urdu Shia Majalis over a period of time. It intends to bring the language in majalis discourse by analytically explaining the historical evolution of Urdu majalis. It maintains that Urdu majalis have gone through existential changes over the course of time. These changes can be periodically categorized in the reformatory, polemical and excommunicative trends in Urdu majalis in an evolutionary manner. During this course both genre and language are reflecting the surrounding social process. Argument is verified by analyzing the transitional behavior of structural components of majalis which include content, space and personalities</p

Effect of accumulated Stomach Gas due to Positive Pressure Ventilation in Children on Oximetery Values

stomach gas in children, undergoing positive pressureventilation with face mask, helps in improving the arterialoxygen saturation. Methods: This was a quasi-experimental studywhose procedures were performed at Combined MilitaryHospital, Lahore and Mardan, from May 2005 to Nov 2006.Fifty children scheduled for surgery were included. Agerange of patients was between 06 months to 02 years.Patient status was American Society of AnaesthesiologistsI and II. All were ‘nil by mouth’ for the past 4-6 hours.In 25 cases undergoing positive pressure ventilation, thestomach gas was removed by nasogastric tube (Group A).In the other 25 cases the stomach gas was not removed(Group B). Oximetery was done during the conduct ofanaesthesia. Average value of each case was determinedand the data compared and analyzed. Results: 80% of patients in whom stomach gas wasremoved showed 100% oxygen saturation (SPO2) and theremaining 20% patients had 99% saturation. Whereas thegroup in which stomach gas was not removed, 48%patients showed 100% saturation, 32% patients had 99%and 20% patients had 98% oxygen saturation. Conclusion: Positive pressure ventilation with facemask in children can cause gaseous distension ofthe stomach. Removal of this gas can help improve theoxygen saturation

Dengue fever in Northern Pakistan: The Hepatic Implications

Background: To gauge the clinical spectrum of dengue fever in northern Pakistan and to assess its hepatic implications Methods: This prospective study was conducted at Rawalpindi General Hospital (now BBH), Rawalpindi from 1st Oct 2006 to 31st Dec 2008. It included all 264 patients suffering from dengue fever who presented during this period. Dengue infection was suspected if two or more of the following features in addition to fever were present: headache, retro-orbital pain, myalgias/arthralgias, scarlet/maculopapular rash, vomiting/epigastric pain and haemorrhagic manifestations. Blood samples were sent for dengue virus IgM. A blood complete picture, liver function tests, serum urea and creatinine, and urine R/E were also obtained. Specific evidence of liver involvement was also sought on examination. Results: The 264 patients comprised of 146 males and 118 females. Age of patients ranged from 14 to 80 years. 220 patients were seen in the last three months of 2006, the time of the dengue epidemic. Fever and myalgias were present in all patients. Vomiting was seen in 223 (85%) and abdominal pain in 163 (62%) patients. A skin rash was present in 148 (56%) while 56 (21%) complained of joint pains and 53 (20%) of retro-orbital pain. 26 (10%) patients had a bleeding disposition and jaundice was noted in 6 (2%). Leukopenia and thrombocytopenia were present in all patients, while 254 (96%) had proteinuria. ALT was elevated in 163 (62%) and AST was raised in 135 (51%) patients. Conclusion: The liver is affected in a large number of cases of dengue fever. Liver function tests are useful to evaluate the degree of liver damage and markers such as AST and ALT may be used as parameters to assess severit

An Empirical Analysis of the Linder

This paper presents empirical evidence in support of the Linder theory of international trade for three of the South Asian countries, Bangladesh, India, and Pakistan. This finding implies that these countries trade more intensively with countries of other regions, which may have similar per capita income levels, as predicted by Linder in his hypothesis. The contribution of this research is threefold: first, there is new information on the Linder hypothesis by focusing on South Asian countries; second, this is one of very few analyses to capture both time-series and cross-section elements of the trade relationship by employing a panel data set; third, the empirical methodology used in this analysis corrects a major shortcoming in the existing literature by using a censored dependent variable in estimation.

Enhancing Vehicle Entrance and Parking Management: Deep Learning Solutions for Efficiency and Security

The auto-management of vehicle entrance and parking in any organization is a complex challenge encompassing record-keeping, efficiency, and security concerns. Manual methods for tracking vehicles and finding parking spaces are slow and a waste of time. To solve the problem of auto management of vehicle entrance and parking, we have utilized state-of-the-art deep learning models and automated the process of vehicle entrance and parking into any organization. To ensure security, our system integrated vehicle detection, license number plate verification, and face detection and recognition models to ensure that the person and vehicle are registered with the organization. We have trained multiple deep-learning models for vehicle detection, license number plate detection, face detection, and recognition, however, the YOLOv8n model outperformed all the other models. Furthermore, License plate recognition is facilitated by Google's Tesseract-OCR Engine. By integrating these technologies, the system offers efficient vehicle detection, precise identification, streamlined record keeping, and optimized parking slot allocation in buildings, thereby enhancing convenience, accuracy, and security. Future research opportunities lie in fine-tuning system performance for a wide range of real-world applications.Comment: Accepted for publication in the 25th International Multitopic Conference (INMIC) IEEE 2023, 6 Pages, 3 figure

UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications

The use of unmanned aerial vehicles (UAVs) is gaining popularity in many applications, i.e. data collection, surveillance, wireless sensor networks (WSNs) etc. In the WSN domain, the UAVs are used to create a more flexible data-gathering platform. This integration maximizes the lifetime of a WSN by optimizing the energy budget. In this paper, we have utilized these benefits of UAVs and have proposed an optimum cluster head (CH) selection strategy to maximize the lifetime of WSNs. The proposed method uses the average residual energy, the channel condition and the Euclidean distance of each sensor node (SN) with a UAV to nominate a group of CHs. Based on the initial analytical analysis, the proposed scheme maximizes the lifetime of a WSN by a fair amount in comparison to the state-of-the-art methods

An Empirical Analysis of the Linder Theory of International Trade for South Asian Countries.

This paper presents empirical evidence in support of the Linder theory of international trade for three of the South Asian countries, Bangladesh, India, and Pakistan. This finding implies that these countries trade more intensively with countries of other regions, which may have similar per capita income levels, as predicted by Linder in his hypothesis. The contribution of this research is threefold: first, there is new information on the Linder hypothesis by focusing on South Asian countries; second, this is one of very few analyses to capture both time-series and cross-section elements of the trade relationship by employing a panel data set; third, the empirical methodology used in this analysis corrects a major shortcoming in the existing literature by using a censored dependent variable in estimation

The Role of Supervisor Support on Work-Family Conflict and Employee Turnover Intentions in the Workplace with Mediating Effect of Affective Commitment in Twin Cities in the Banking Industry, Pakistan

Organizations compete in today's world through its intangible assets which literature describe as human capital. Technology can be replaced but human capital cannot be replaced completely ever. Employee retention is center of attention for all the organizations' nowadays. Retentions of employees' mainly based on supervisors support and their affiliation with organization. This paper attempts to examine the impact of supervisor support on work family conflict and turnover intentions directly and indirectly through affective commitment. In order to collect the data this study used closed ended questionnaires from banking industry of twin cities of Pakistan. SEM (AMOS) was employed to test hypotheses. Findings reveal the mediating role of affective commitment particularly in context banking sector of Pakistan. This study filled the gap by investigating supervisor support on work family conflict along with affective commitment. Findings of this study are important from two perspectives. First is the banking sector and secondly the twin cities in which there is almost no study has been conducted before. Implications are particular for banking industry top managers and practitioners. Top management can implement such practices in order to retain their employees'. Keywords: Supervisor Support, Work-Family Conflict, Employee Turnover Intentions, SEM JEL Classifications: H15, M16 DOI: https://doi.org/10.32479/irmm.1080