Archives-December  

In this research we use the logistic function to demonstrate the existence of a stationary point as a type of a non-wandering set in topological dynamical systems or dynamical systems without any loss of generality.

Oxidation and microbial degradation are the limiting factors in the quality and acceptability of meat product. Deleterious effect from synthetic additives usage has increase the demand for natural additive sources to ensure safety of meat products and consumers. Meatfloss was prepared from semitendinosus muscle following a standard procedure. Mentha pepperita powder (MPP) inclusion in shredding recipe was 0, 1.25% and 2.50%. The study was completely randomized and replicated threes. Protein, ash, saturated and unsaturated fatty acids of freshly prepared meatfloss, Thiobarbituric Acid Reactive Substances (TBARS) (mgMA/kg) and Total Heterophilic counts (THC) (cfu/gx103) at 0, 1, 2, 3, 4 weeks were assessed using standard procedures. Protein (40.90%; 40.87%) and ash (6.06%; 7.27%) of 1.25% and 2.50% MPP meatfloss were higher (P<0.05) than 39.19% (protein) and 4.07% (ash) meatfloss with no MPP. No significant differences (P>0.05) among saturated and unsaturated fatty acids. Irrespective of the storage period, TBARS levels (1.14-1.40); (1.13-1.20) and THC (0.30-0.23); (0.33-0.03) of 1.25% and 2.50% MPP meatfloss were higher (P<0.05) than 1.14-2.00 (TBARS) and 0.41-2.40 (THC) of meatfloss with no MPP. Reduced levels of thiobarbituric acid reactive substances and low total heterophilic counts highlighted the potential usage of Mentha pepperita as efficient inhibitors of oxidative and microbial processes. 

Flow Shop Scheduling is the combinational optimization & NP-hard (i.e. Non-deterministic Polynomial-time hard) problems. In Permutation Flow Shops, the sequence of the jobs is same on all machines. In a Flow Shop Scheduling problem with ‘n’ jobs that should be processed on ‘m’ machines. The job can be processed on at most one machine; meanwhile one machine can be processed at most one job. A significant research effort has been committed for sequencing jobs in flow shop to minimizing the make span. Optimization algorithms such as Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Optimization (ACO) & Neighborhood Search have played a significant role in solving small scale flow shop scheduling problems. In this paper a recently developed Teaching Learning Based Optimization (TLBO) is proposed method to solve the flow shop scheduling problems to minimize the make span. The proposed algorithm is tested on Taillard Benchmark problems and results are compared with Palmer’s & CDS Heuristic methods. The results show that the proposed algorithm is efficient in producing optimal solution and simple, easy to understand.

To evaluate the effectiveness and clinical significance of pattern visual evoked potential (P-VEP) as a predictor of occlusion therapy for patients with strabismic and amblyopia(squint eye).Methods: A total of 34 consecutive children with anisometropic squint were included in this study. All patients underwent a full initial ophthalmologic and orthoptic evaluation. P-VEP test was performed in all cases and binocular vision was tested and recorded Part-time occlusion therapy was performed by using adhesive patches. Results: The mean (±SEM) cycloplegic refractive error was +5.6 ± 0.6 diopters (D) in the squint eyes and +1.8 ± 0.2 D in the normal eye. The mean levels of best-corrected visual acuity were statistically differed between each measurement for occlusion therapy (for each, p < 0.05). The ratio of the patients with binocular vision increased after 6 months occlusion therapy and the difference was statistically significant (p<0.05). In addition, P100 amplitude improved at each visit and the difference was significant when compared with baseline values (for each, p < 0.05). Conclusions: P100 amplitude of the P-VEP test parallels the improvement in subjective visual acuity in squint eyes under occlusion therapy. Therefore, this test may be useful in monitoring the visual acuity in the preverbal or non-verbal patched patients.

In this Research, a new method has been proposed in order to classify the mental tasks which represent the Electroencephalogram (EEG) signal as time series. Time series are kind of data format which depict signal voltage varieties in time domain. Different parts of the different signals have different powers, so in first step and in the preprocessing, signal partitioning into several fixed windows is needed. Toward the extracting appropriate features from each EEG signal window, PCA algorithm is used. So for each window, a feature vector is made by PCA, and a general vector is created from these primary vectors. In order to refuse redundancy caused by non-important windows, the best combination of such vectors, that have the best results in classification, should be probed. Toward this goal, two feature extraction methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are applied. K-Nearest Neighbor (KNN) was used as fitness function for PSO and GA. These methods select such windows whose combination of feature vectors are best and increase TP (true positive) of the classifier. The results show that GA and PSO improve the power of classification, but GA is more efficient.

Wire electrical discharge machining (WEDM) own benefit in manufacturing of modern materials, particularly used in the space engineering technology as well as in therapeutic industries. With WEDM advancement, complex components can be able to cut easily those hard to machine with conventional process. Obtained high level of precision component and fine surface finish leads WEDM important, WEDM so perplexing in characteristic, as a result choice of fitting information variables is unrealistic by experimentation process. In any machining process, the machining parameters fundamentally influence quality; cost, time and production rate of a manufactured product. WEDM methodology includes more number of variables that influence its execution. However, in the illumination of the writing study and based on the previous tests, pulse on time, pulse off time, wire pressure, and water pressure are considered for the investigation. In this study, Response Surface Methodology (RSM) is utilized to show relation between the information and yield reactions by using trial information, gathered based on DOE. MRR and Ra were plotted and examined based on impact of information process parameters. Later on the created design can be used for optimization.

Many applications use TCP as the transport layer for reliable data transfer for wireless connections to integrate seamlessly into the Internet. Some of the assumptions made during the design of traditional TCP may not be suitable for an infrastructure-less network environment, because TCP invokes the congestion control mechanism even if the packet loss is due to the link failure. On the other hand TCP-F that is able to distinguish link failure from congestion through feedback from the intermediate nodes and takes appropriate action. This paper compares the performance of TCP-F with traditional TCP through simulation.

MEPZ, an industrial unit installed at Tambaram, Chennai, developed by the Ministry of Commerce and Industries, Government of India is discharging domestic waste water generated by the workers and treated in the 1.0MLD capacity Sewage Treatment Plant with Moving Bed Bio-film Reactor. In this study, the performance of MBBR technology in removal of Biological Oxygen Demand and suspended Solids have been evaluated by testing the raw sewage and treated effluent at various situations like normal weather condition, heavy organic shock loading, dilution with storm water, when artificial aeration is disturbed due to power failure. The test results showed that the removal efficiency of BOD5 and SS from the domestic waste water in normal weather condition in more than 98%, the efficiency of MBBR has not been affected due to heavy Organic shock loading and the efficiency is about 90% in the disturbance of artificial aeration. The efficiency has been brought to this level by improving the surface area per unit volume of the carrier element as designed by the M/s Anox Kaldnes, a Norway company. It is suggested that the Moving Bed Bio-film Reactor technology could be used an ideal and efficient option for the treatment of domestic waste water, when the available area is minimum

Number of smartphones users is increasing rapidly and Android is currently the most popular Smartphone operating system. However, users feel their private information at threat, facing a rapidly increasing number of malwares for Android which significantly increasing that of other platforms. There are large number of apps available for the ease and use of the smartphone users. When a user installs any application from the google play store he/she is asked to grant some permissions to function the particular application properly. User either has to accept all those permissions in order to install the application on his/her device or he/she has to deny all those permission and terminate the installation of the application. A normal smartphone user is not aware of most of the permissions asked during installation so he/she tends to accept those all permissions in order to use the application. This introduces a potential threat to the users device. With this smartphones usage, mobile malware attacks are also growing. The application that we are developing will help user to identify the malicious applications that are installed on the device. And if a user finds any malicious activity being performed by any application then he/she can change the necessary permissions to avoid the malicious activity being done by the application. All this will be done post the installation of any application. So user will first have to accept all those permissions and get the app installed on his/her device from the Google play store. And then user can modify (allow/deny) the permissions the application is using. Our proposed application will have a scanning activity which will tell the user which applications are malicious and may harm the device. The application will use machine learning approach to some extent for scanning the applications to determine the application is malicious or not.

African mistletoe (Tapinanthus globiferus (A. Rich) Tieghem) is a hemi –plant parasite belonging to the family Loranthaceae. It grows as a partial parasite on the branches of many trees and has various ethnomedicinal uses. Qualitative screening of extracts obtained from 10 different host species in (Fadama Area) Birnin-Kebbi Local Government, Kebbi State revealed the presence of biologically active compounds. Quantitatively. Presence or distribution of phytochemical substances in T. globiferus appeared to be partly dependent on the host plant species. The current study is aimed to make aware about the presence of certain bioactive compounds in plants which attribute them medicinal values & can provide alternative pathway for the replacement of synthetic drugs. Effort should be directed to the phytochemical screening and pharmacological potentials of T. globiferus in order to unlock the full medicinal potentials of the species.