International Journal of Engineering Applied Science and Management

ISSN (Online): 2582-6948


Notice Board :

Call for Paper
Vol. 7 Issue 10

Submission Start Date:
Oct 01, 2026

Acceptence Notification Start:
Oct 10, 2026

Submission End:
Oct 25, 2026

Final MenuScript Due:
Oct 31, 2026

Publication Date:
Oct 31, 2026
                         Notice Board: Call for PaperVol. 7 Issue 10      Submission Start Date: Oct 01, 2026      Acceptence Notification Start: Oct 10, 2026      Submission End: Oct 25, 2026      Final MenuScript Due: Oct 31, 2026      Publication Date: Oct 31, 2026




Volume VII Issue VI

Paper Title
Study on the importance of Student Feedback Mechanism in Universities
Author Name
Rajesh Sahu, Kawaljeet Singh Baluja, U.Krishna Murty
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 6
Abstract
The Student Feedback Mechanism has become a cornerstone of quality assurance and continuous improvement in Higher Educational Institutions. Universities increasingly rely on Structured Feedback Systems to evaluate teaching effectiveness, curriculum relevance, and overall student satisfaction. This study examines the importance of Student Feedback Mechanisms and their impact on the teaching-learning process, institutional development, and student engagement. It also discusses the key challenges and provides recommendations for effective implementation.
PaperID
2026/IJEASM/5/2026/3426 Editor-

Paper Title
VLSI Chip Design DSNN ECG Signals for Abnormal Heartbeat Detection
Author Name
Sravanthi Uppara, Venkatesh B, Chakrapani T, Ahmed Basha S, Suvarna K
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 6
Abstract
In this study, a Data-Shifting Neural Network (DSNN) applied to electrocardiogram (ECG) signals is used to design a VLSI circuit for abnormal heartbeat detection. In order to increase model generalization, the suggested DSNN generates numerous temporal variants of each pulse by using a data-shifting augmentation strategy to improve the training dataset. The algorithm achieves a high classification accuracy of almost 97.17% by merging these augmented signals with the original dataset, guaranteeing accurate detection of both normal and pathological heartbeats. The design prioritizes low power consumption and compactness, which makes it appropriate for wearing medical equipment. With careful consideration of transistor-level design, memory needs, timing limitations, and low-power optimization approaches, the DSNN is built and simulated at the circuit level using Cadence tools. To guarantee effective hardware implementation, important performance parameters such transistor count, supply vo
PaperID
2026/IJEASM/5/2026/6704

Paper Title
Design of Energy-Accuracy Optimized Runtime-Adaptive Approximate VLSI Arithmetic Circuits for Edge AI
Author Name
Sivaprasad Madasu, Chakrapani T, Ahmed Basha S, Suvarna K
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 6
Abstract
Developing adaptable, energy-efficient approximation circuits for self-powered artificial intelligence and autonomous edge computing systems is the aim of this research. The approach involves developing approximate compressors and multiply-accumulate (MAC) units that dynamically balance energy consumption and computational precision to enable real-time energy-accuracy trade-offs for deep learning applications. Performance improvement demonstrates notable energy and delay reductions as compared to conventional designs—up to 49% and 30% for compressors and 36% and 18% for MAC units. After being tested at 7nm and 55nm technology nodes, the circuits are integrated into CNNs for pattern detection to reach an acceptable mean relative error distance (MRED = 0.19). Furthermore, the proposed LSTM and MLP-CNN algorithms guarantee functional integrity in edge AI devices with restricted resources by increasing processing efficiency while conserving 15% power and 7% area. The design is implemented
PaperID
2026/IJEASM/5/2026/6705

Paper Title
LEADERSHIP IN HIGH RELATABILITY ORGANIZATIONAL CHANGE IN PUBLIC INSTITUTIONS THROUGH THE INTEGRATION OF MILITARY LEADERSHIP PRINCIPLES INTO CIVIL ADMINISTRATION
Author Name
James Allen Sass
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 6
Abstract
Public institutions worldwide face mounting pressure to reform, yet organizational change initiatives in civil administration frequently fail owing to employee resistance, weak leadership, and low relatability. This empirical paper investigates whether military leadership principles mission command, disciplined initiative, unity of effort, command responsibility, and servant command can be integrated into civil administration to enhance the relatability and success of organizational change. The study adopts a sequential explanatory mixed-methods design combining a structured survey of 240 public-sector employees across 12 institutions with semi-structured interviews of 30 senior administrators. Five constructs mission clarity, trust in leadership, decentralized empowerment, accountability, and resilience were operationalized and measured on a five-point Likert scale, and data were analyzed using descriptive statistics, correlation, and multiple regression. Findings reveal that institut
PaperID
2026/IJEASM/6/2026/3421a