Informatics Publishing Limited

K. K. Srivastava , R. Prabhakaran , Neelam Verma

Abstract

No abstract

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S. K. Chaturvedi ¹, R. Prabhakaran ¹

Affiliations
1 Batten College of Engineering and Technology, Old Dominion University, Norfolk, Virginia 23508, US

Abstract

Results are presented from an NSF supported project that validate the hypothesis that students` learning gains can be enhanced through integration of web-based interactive simulation and visualization modules in engineering courses. The implemented modules were used in the "supplementation" mode wherein students used these modules along with conventional lecture or laboratory classes. In order to gage the effectiveness of each implemented module a "control" group, without access to the module, and an "experimental" group, with access to the module, were identified. Performance of students in both groups in an identical quiz was analyzed statistically to determine if the introduction of web-based modules favorably affected students learning outcomes. Since both "control" and "experimental" groups may have different demographic profiles-different age, ethnicity, gender etc.-a demographic factor analysis was also conducted for each module to assess if the impact of demographic factors rises to the level of statistical significance.

Results of statistical analysis indicated that of the twenty eight learning outcomes tested in eight engineering courses, fifteen showed statistically significant improvement in quiz scores for "experimental" groups over corresponding "control" groups. Even though for thirteen outcomes the quiz scores were generally higher for the "experimental" groups, improvement in quiz scores over the control group performance was not statistically significant. The demographic factor analysis also showed that whereas gender, ethnicity, course load and math SAT scores are not significant factors for the pedagogy of learning with the web-based simulation and visualization modules, the cumulative GPA was a significant factor in five out of nine modules.

The results presented in this large scale study, spanning over three engineering disciplines, demonstrates the favorable impact of web-based simulation and visualization modules on student learning. The project has not only led to enhanced student learning in engineering courses and faculty development but it has also contributed to engineering pedagogy by demonstrating the effectiveness of web based simulation and visualization modules when used in the "supplementation" mode with conventional lectures or lab classes.

Keywords

Visualization, Simulation, Assessment, Web-Based Modules.

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R. Prabhakaran ¹, K. Mohanasundhari ¹

Affiliations
1 Dept. of ECE, Venkateshwara Hi-Tech Engineering College, Gobi, IN

Abstract

Double Data Rate (DDR) memory used for speedy data transmission applications such double sampling analog-to digital converter, the up and negative edges of the structure clock are utilize for data sampling. Thus, these systems involve a correct 50% duty sequence of the system clock. The two wide ranges All Digital Duty Cycle Correctors (ADDCC) with output clock Phase Alignment are here. The proposed phase alignment (PA) ADDCC not only realizes the preferred output/input PA, but as well continues the output duty cycle at 50% with a round locking time and High-Resolution (HR) ADDCC without a half cycle delay line can improve the interruption resolution and the delay mismatch problem. Glitch free NAND-base DCDL which overcome this control by opening the take up of NAND-based DCDLs in a wide range of applications DCDL continues the matching resolution and minimum delay NAND-based DCDL.ADDCC is implemented in an all-digital manner to decrease circuit complexity and leakage power in advanced development technologies and, thus, are very proper for system-on-chip (soc) applications.

Keywords

All-Digital Duty Cycle Correctors (ADDCC), Double Data Rate (DDR), High-Resolution (HR), Phase Alignment (PA), System-On-Chip (SOC).

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S. R. Boselin Prabhu ¹, C. V. Dhasharathi ¹, R. Prabhakaran ¹, M. Raj Kumar ¹, S. Wasim Feroze ¹, S. Sophia ²

Affiliations
1 Department of Electronics and Communication Engineering, SVS College of Engineering, Coimbatore, IN
2 Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, IN

Abstract

A sensor is a miniature component which measure physical parameters from the environment. Sensors measure the physical parameters and transmit them either by wired or wireless medium. In wireless medium the sensor and its associated components are called as node. A node is self-possessed by a processor, local memory, sensors, radio, battery and a base station responsible for receiving and processing data collected by the nodes. They carry out joint activities due to limited resources such as battery, processor and memory. Nowadays, the applications of these networks are numerous, varied and the applications in agriculture are still budding. One interesting application is in environmental monitoring and greenhouse control, where the crop conditions such as climate and soil do not depend on natural agents. To control and monitor the environmental factors, sensors and actuators are necessary. Under these circumstances, these devices must be used to make a distributed measure, spreading sensors all over the greenhouse using distributed clustering. This paper reveals an idea of environmental monitoring and greenhouse control using a sensor network. The hardware implementation shows periodic monitoring and control of greenhouse gases in an enhanced manner. Future work is concentrated in application of the same mechanism using wireless sensor network.

Keywords

Sensor, Sensor Nodes, Wireless Sensor Network (WSN), Greenhouse Control, Environmental Monitoring, CO₂ Monitoring, Distributed Clustering.

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