UML Modeling of Network Topologies for Distributed Computer System

Nowadays distributed computer systems have become very popular approach due to its availability at low cost and high performance computers, which are connected through a communication network. For connection of the distributed computer systems, network topologies are must for the communication lines. In the present paper a detailed study of network topologies is done for the distributed computer systems. A most popular Unified Modeling Language (UML) is used for designing the different network topologies. A comparative study is done for 2D Mesh, Torus, and Hypercube topologies and performance is evaluated after designing the UML Class, Sequence, and Activity diagrams for these topologies

Sense of Place in Virtual Learning Environments

Drawing on existing research from the fields of human geography and environmental psychology, we define the term sense of place (SOP) and point out the subtle differences between the various uses of the term in respect of different technology capabilities associated with Virtual Learning Environments (VLEs). We also identify the attributes of a place that affect a user’s perceived sense of place. Finally, we provide an analysis of the dimensions of the sense of place construct as it relates to the different technology capabilities associated with VLEs. The paper lays a foundation for further empirical research on the notion of SOP, its impact on learning outcomes and design of VLEs

Evaluating Information Technology (IT) Integration Risk Prior to Mergers and Acquisitions (M&A)

Corporate mergers and acquisitions (M&A) are considered significant, from both a strategic and an economic point of view, across almost all sectors of the economy.1 M&A is a complex process involving risk that ranges from financial and legal matters to sales and marketing challenges and everything in between. Despite well-established benefits of strategically driven expansion and integration of businesses through M&A, the consolidated organization exposes itself to a number of anticipated, unknown and unintended risk factors. The risk concerns the overall organizational integration of some or all of the previously distinct and interdependent assets, structures, business processes, technologies, systems, people and cultures of the two firms into a unified whole.

Development of threshold based EMG prosthetic hand

There is a real need of EMG (Electromyogram) based prosthetic hand for the amputee which should be economical as well as reliable. The cheap prosthetic hand available in market works passively. In those cases the patient does not feel the feeling of natural human hand. EMG based prosthetic hand provides the amputee feeling of natural human hand. The work that has been discussed here is to develop a prosthetic hand with one degree of freedom. The two motions developed were open and close. Most of the work is done at electronic level. The main work was to acquire the noiseless EMG signal and further to convert it into control signal for prosthetic hand, after suitable processing. For classification a threshold based technique has used rather than any classification technique like Artificial Neural Network (ANN), Fuzzy Logic and Genetic Algorithm (GA). It was tried to use the minimum hardware, without making any compromise with performance. It was done so, to achieve the target of developing a economical and reliable prosthetic hand. The threshold value used was variable and was controllable from outside by just varying the knob of potentiometer. This adds an additional dimension for tuning the device and scope to adjust the threshold according to muscle activity of subject. So the same prosthetic hand can be used by different amputees by just changing the threshold values only. The mechanical hand was having only two fingers to grasp the objects. The work was also extended to develop the frequency based Prosthetic hand. The scheme was to find out the frequency bands where the amplitude of open and close motions is different. The FFTs (Fast Fourier Transform) of EMG signal were calculated in MATLAB. The DSO (Digital Storage oscilloscope) was also having the facility of displaying the FFT of signal. It was found that there is certain possible frequency band which classifies the open and close motion of han

Modeling the Dynamics of Implied Volatility Surface of S&P CNX NIFTY

This study is intended to apply and extend the accepted implied volatility modelling principles to the S&P CNX NIFTY (Index from National Stock Exchange of India - NSE) index options and account for the deviations in the volatility surface and the corresponding risk factors. The methodology followed for modelling implied volatility is similar to Dumas, Fleming and Whaley (DFW 1998) and Ishan Ullah Badshah (IUB – working paper 2008) and the methodology used for Principal Component Analysis is similar to the one applied by Skiadopolous, Hodges and Clewlow (SHC 1999). We compare the implied volatility surface generated using one linear model (constant volatility) and three nonlinear models that take into consideration varying levels of skew or smile and maturities. We find that the fourth model best captures all the characteristics of implied volatility. Secondly, we apply Principal Component Analysis (PCA) to the implied volatility surface and extract the most relevant principal components that explain most of the dynamics of the volatility surface. We determined that 80.66% to 94.47% of the variation in the IV surface is explained by the first three principal components. Lastly, we study the behaviour of the implied volatility surface of the S&P CNX NIFTY for two distinct periods – pre crisis (2006) and post crisis (2009). Specific applications of the model include pricing and hedging of derivatives and risk management

Forens(om)ic medicine: omics in forensic medicine

The branch of science informally known as ‘omics’ are various branches in biology whose names end in the suffix omics such as proteomics, metabolomics, genomics, transcriptomics. The studies regarding the role of omics in various branches of medical field have become an upcoming area and its rising trend has been observed in the last decade. Omics has very recently emerged as an uprising field in forensic medicine also which is already known for its great participation with other branches like forensic toxicology, biochemistry, psychiatry, genetics. The use of state- of-the-art omics technologies has been explored in forensic medicine and sciences in establishing post mortem interval, drugs of abuse, intoxication and cause of death. The various forensic studies presently are aiming omics for future prospective. An elementary attempt has been made in this review article to briefly present the role and advantages of omics in forensic medicine. We, hereby, propose to call it forensomic medicine, to draw attention of the forensic professionals to this novel branch of science in order to encourage new studies to be used in medico legal applications