Recent development in undergraduate computer engineering education: Indian scenario

Sucharita Bhattacharyya — 2025-01-03

India, being a developing country, is also growing at lightning speed, where technology also plays an important role. Software and hardware are intricately linked as far as information systems are concerned, and as a result, there is considerable need for a rapidly developing field of computer-linked technology in our country. Due to their potential experience in data science, big data, artificial intelligence, and machine learning, the aspirants of computer engineering have good expected pay, thus they need proper education and training in software development, and system database administration to keep pace with technology. In the Computer Science and Engineering (CSE) domain, a vigorous system curriculum development process is basic and sanctifies the institutionally quirky and rapidly evolving field of Computer Science from programming and networking to the newest areas in the discipline. Following the All India Council for Technical Education (AICTE) curriculum, this study speaks of the Regulation 18 (R18) curriculum of one such autonomous engineering institute, located inWest Bengal. A comparative background study analyzing curricula from several universities to assess variations and best practices was performed. This analysis is especially suited to self-financed institutions, as more than 80% of India’s 4000+ engineering colleges are owned by the private sector. According to Outcome-Based Education, the R18 curriculum is to include all core CSE subjects with a wide allowance for flexibility in the teaching-learning process as per the norms of AICTE. Certain shortcomings were pointed out in the feedback from stakeholders; hence, it will drive the changes in the present Regulation 21 (R21) curriculum under the New Education Policy (NEP) 2020. This paper also gives a comparative study of the two curricula, R18 and R21, and discusses results in detail with graphs that can be interpreted easily. It helps understand how curricula evolve to become synchronized with industry requirements, endowing graduates with requisite competencies in the shifting paradigm of technology.

Analysis and modeling of adult male body shape aged 25–45 by CLO3D software

Hoang Thi Yen — 2024-12-31

This study conducted body shape research on 175 males aged 35–45 in Ho Chi Minh City, Vietnam. The aim was to develop accurate and intuitive analytical models to classify different body types. The research team utilized various statistical tools, such as descriptive analysis, principal component analysis, k-means clustering, and discriminant analysis—all supported by SPSS software—to identify the most reasonable body shape classifications. The study results identified the 5 most common body shapes: U-shaped, Y-shaped, V-shaped, O-shaped, and D-shaped. To enhance the visualization of these body groups, the research team created representative shapes based on 30 parameters analyzed through CLO3D software. This approach helped capture the distinct characteristics of each body type identified in the study. The study also integrated anthropometric indicators such as BMI, WHR, and DROP to analyze the characteristics of each body shape group. Focusing on analyzing these body shapes holds significant importance for the fashion industry, as fashion designers can create clothing that meets the preferences of a wider range of customers. It also helps individuals in the age group surveyed increase awareness of their bodies and choose clothes that suit them. In addition, the research results can support various other fields such as medicine and ergonomics.

BOHR International Journal of Computer Science

Recent development in undergraduate computer engineering education: Indian scenario

Analysis and modeling of adult male body shape aged 25–45 by CLO3D software