Performance Evaluation of Fuzzy based Congestion Control for TCP/IP Networks

It by and large acknowledged that the trouble of system congestion control stays a basic issue and a high need, particularly given the developing size, request, and speed (transfer speed) of the inexorably coordinated administrations systems. In spite of the examination endeavors spreading over several decades and accordingly the sizable measure of different plans proposed, there are no generally worthy control arrangements. Current arrangements in existing systems are progressively getting insufficient, and it's commonly acknowledged that these arrangements can only with significant effort extent even with different proposed "fixes". In this paper, a Fuzzy based congestion control is talked about to manage the congestion control issue. The exhibition of the controlled framework is assessed by means of reenactment

Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression

The most important Entity to be considered in Image Compression methods are Paek to signal noise ratio and Compression ratio. These two parameters are considered to judge the quality of any Image.and they a play vital role in any Image processing applications. Biomedical domain is one of the critical areas where more image datasets are involved for analysis and biomedical image compression is very, much essential. Basically, compression techniques are classified into lossless and lossy. As the name indicates, in the lossless technique the image is compressed without any loss of data. But in the lossy, some information may loss. Here both lossy & lossless techniques for an image compression are used. In this research different compression approaches of these two categories are discussed and brain images for compression techniques are highlighted. Both lossy and lossless techniques are implemented by studying it’s advantages and disadvantages. For this research two important quality parameters i.e. CR & PSNR are calculated. Here existing techniques DCT, DFT, DWT & Fractal are implemented and introduced new techniques i.e Oscillation Concept method, BTC-SPIHT & Hybrid technique using adaptive threshold & Quasi Fractal Algorithm

CO-CREATING SUSTAINABLE AND DYNAMIC CURRICULUM: A DECISION SUPPORT SYSTEM FOR ASSURING GRADUATE CAPABILITY

An important challenge facing higher education institutions is authentically assuring graduate capabilities. The focus has shifted beyond discipline knowledge to include the assessment of ‘softer skills’. Many institutions have developed policies and procedures through curriculum reform and renewal processes. Too often these processes involve isolated ‘soft’ approaches such as ‘ticking the box’, use of summary statistics and gap analysis which are both imprecise and piecemeal. Despite growing interest in assuring employable graduate capabilities, there has been little research into using a more structured holistic approach engaging with multiple key stakeholders. This research proposes decision support system adopting a multi-criteria decision approach (MCDA) to appraise course level outcomes and the robustness of assessment policy decisions. The objective is to authentically assure graduate capability by considering multiple key criteria to reduce arbitrariness of current approaches to assessment decisions. Multiple scenarios are presented to explain the application of MCDA in evaluating assessment benchmarks using simple to complex criteria

Lossless Hybrid Coding technique based on Quasi Fractal & Oscillation Concept Method for Medical Image Compression

The Image compression is the most important entity in various fields. Image compression plays vital role in many applications. Out of which biomedical is one of the challenging applications. In medical research, everyday there is fast development and advancement. Medical researchers are thinking about digital storage of data hence medical image compression has a crucial role in hospitals. Here Morphological filter & adaptive threshold are used for refinement and used Quasi Fractal & Oscillation concept for developing new hybrid algorithm. Oscillation concept is lossy image compression technique hence applied on Non-ROI. Quasi fractal is lossless image compression technique applied on ROI. The experimental results shows that better CR with acceptable PSNR has been achieved using hybrid technique based on Morphological band pass filter and Adaptive thresholding for ROI. Here, innovative hybrid technique gives the CR 24.61 which improves a lot than hybrid method using BTC-SPIHT is 5.65. Especially PSNR is also retained and bit improved i.e. 33.51. This hybrid technique gives better quality of an image

An ontology-driven topic mapping approach to multi-level management of e-learning resources

An appropriate use of various pedagogical strategies is fundamental for the effective transfer of knowledge in a flourishing e-learning environment. The resultant information superfluity, however, needs to be tackled for developing sustainable e-learning. This necessitates an effective representation and intelligent access to learning resources. Topic maps address these problems of representation and retrieval of information in a distributed environment. The former aspect is particularly relevant where the subject domain is complex and the later aspect is important where the amount of resources is abundant but not easily accessible. Conversely, effective presentation of learning resources based on various pedagogical strategies along with global capturing and authentication of learning resources are an intrinsic part of effective management of learning resources. Towards fulfilling this objective, this paper proposes a multi-level ontology-driven topic mapping approach to facilitate an effective visualization, classification and global authoring of learning resources in e-learning

Evaluating Intertwined Critical Success Factors for Sustainable E-learning

Successfully leveraging knowledge transfer in distributed e-learning requires effective combination of pedagogies, technologies, and efficient management of learning resources. As a result, identifying and evaluating the critical success factors within each of these facets is vital for the success of e-learning. This paper explores the critical success factors intertwined within the learning ecosystem namely pedagogy, technology and management of learning resources in a higher education e-learning environment. Adopting a hybrid approach consisting of a systematic literature review and interviews with experts in e-learning, this paper shows that there is a discrepancy between theory and practice in e-learning in regard to the application of pedagogies, use of technology, and management of reusable learning objects. This implies that there is a need for tackling various issues regarding the adoption of appropriate e-learning strategies, knowledge sharing, quality, granularity and reusability of learning object for sustainable e-learning

An investigation of how culture impacts global work: Unpacking the layers of culture

One manifestation of today’s globalization is a new type of work environment where employees who are living in different parts of the world regularly engage in collaborative activity. Because these workers are socialized in different cultural environments, an important research issue is how to understand workers behaviors and effectively manage in this global workplace were workers communicate on a daily basis but do not meet each other and may not even know the life styles of their team members. Based on an ethnographic analysis of GLOBALIS, a multinational firm in the financial sector with IT solution centers in the US, Ireland and India, this paper presents a conceptual model of how culture was impacting the behaviors of global teams at GLOBALIS. In this model the behaviors of globally team members is primarily governed by corporate norms, project requirements and workplace culture. National culture, which has been identified in cross-cultural research as a key factor in global work, is just one of many demographic variables like age, education, professional standards, inter-relationships among sites, etc. that impact workplace culture. Thus, this paper reinforces the current multi-faceted view of culture as a set of forces that impact values and behaviors and it also clarifies some of the clouded opinions on whether or how national culture differences impact today’s globally distributed work

The effects of peer judgements on teamwork and self-assessment ability in collaborative group work

A crucial determinant of the success or failure of collaborative group work is the effect of peer feedback interventions on learning. Research exploring such effects on developing soft skills is sparse. This study seeks to address whether peer feedback leads to enhanced teamwork behaviour and self-assessment ability, two skills highly sought after by employers. Specifically, this study examines the direct effect of formative performance rating and the mediating effect of praise and criticism in peer feedback messages on achievement in teamwork and self-assessment skills. The sample consists of quantitative and qualitative data from 98 students enrolled in business programmes using a particular form of collaborative group work. The paper finds a direct positive relationship between formative performance rating and summative self-assessment ability. It also finds that praise negatively mediates the relationship between formative performance rating and summative teamwork. Further analyses suggest that a significant proportion of comments provided is past- rather than future-oriented. Potential strategies to overcome the limitations of current practices are discussed

Performance Improvement of SIMD Processor for High-Speed end Devices in IoT Operation Based on Reversible Logic with Hybrid Adder Configuration

The reversible logic function is gaining significant consideration as a style for the logic design by implementing modern Nano and quantum computing with minimal impact on physical entropy. Recent advances in reversible logic allow for computer design applications using advanced quantum computer algorithms. In the literature, significant contributions have been made towards reversible logic gate structures and arithmetic units. However, there are many attempts to dictate the design of Single Instruction-Multiple Data (SIMD) processors. In this research work, a novel programmable reversible logic gate design is verified and a reversible processor design suggests its implementation of SIMD processor. Then, implementing the ripple-carry, carry-select and Kogge-Stone carry look-ahead adders using reversible logic and the performance is compared. The proposed reversible logic-based architecture has a minimum fan out with binary tree structure and minimum logic depth. The simulation result of the proposed design is obtained from Xilinx 14.5 software. From the simulated result, the computational path net delay for 16 × 16 reversible logic with Kogge Stone Adder is 17.247 ns. Compared with 16-bit Kogge Stone Adder, the reversible logic-based 16-bit Kogge Stone Adder gives low power and low time delay. By looking at the speed, energy and area parameters, including fast applications in which two smaller delay and low power adders are required, the effectiveness, including the proper area use of the hybrid adder recommended by it is evaluated

Lidar observations of sporadic Na layers over Gadanki (13.5° N, 79.2° E)

International audienceWe studied the characteristics of sporadic sodium layers (SSLs) observed with the sodium (Na) resonance scattering lidar at Gadanki (13.5° N, 79.2° E). The SSLs were observed on a total of 63 occasions during 464 h of Na lidar observations from January 2005 to February 2006. The observations showed that one SSL event occurred, on average, every 7 h. The most prominent sporadic layer, which formed on 12 February 2005, exhibited a peak density of 60 722 Na atoms/cm³ around 92 km and it was nearly twice the peak density reported from elsewhere using ground-based observations. In general, the SSLs exhibited the following characteristics: (1) they developed at heights between 88 and 98 km with an average height around 94 km; (2) maximum density occurred during the early morning hours between 02:00 and 05:00 IST; (3) the ratio of the maximum peak Na density to the average density was normally around 3 to 5 and it exceeded even 10 in some cases; (4) the events lasted from a few minutes to several hours. The formation period of the SSLs was longer compared to the decay period of the SSLs. Most of the SSL events showed downward motions