ESTABLISHMENT AND PLACEMENT OF A MULTI-PURPOSE PHASOR MEASUREMENT UNIT TO IMPROVE PARALLEL STATE ESTIMATION IN DISTRIBUTION NETWORKS

Today, microgrids in distribution networks are in dire need of improvement to cope with economic challenges, human losses, and equipment placement issues. Today, there is the issue of scattered resources in distribution systems, which has created many problems in the areas of environment, economy, and human and animal losses. The most important challenge in this section is the existence of voltage and frequency fluctuations during the occurrence of possible events such as severe load changes or errors in distribution networks. Having such a big problem can call a distribution network into question and destroy it. Therefore, it is necessary to provide an optimal method that can meet and cover these challenges. For this purpose, the present research deals with the problem of establishing and placing a multifunctional phasor measurement unit to improve the parallel state estimation in distribution networks, which offers a control approach. This approach determines the time of occurrence of internal and external disturbances after using the phasor unit. The approach of this research is to use a neural-fuzzy method because there is uncertainty in the distribution network due to the mentioned challenges, and training in the system is needed to accurately deploy and place possible errors. Do not occur. When setting up and placing the phasor measuring unit, the most important issue is the proper distribution of the load in the distribution network. The simulation results in the MATLAB / Simulink environment show the improvement of the results according to the proposed approach.Keywords: Distribution Network, Neural-Fuzzy Network, Optimal Load Distribution, Parallel State Estimation, Phasor Measurement Unit.

COMPARATIVE ANALYSIS OF STEEL CORROSION RESISTANCE

The objective of the study was to conduct the comparative analysis of steel types corrosion resistance. Three selected steel types were used in the study. The selected types were structural steel, stainless steel, and MMFX steel. The methodology we adopted is that we evaluated the steel parts resistance towards corrosion by doing in-salt spray experiment and the immersion of aqueous solution of sodium chloride. For salt spray test, we used guidelines by ASTM B117. This practice provides a controlled corrosion environment which is used for exposing specimen to salt spray chamber. For immersion test, test specimens are analyzed at regular time interval as the first rust is appeared. For carbon steel, we used three specimen and mostly initial rust appeared in initial 13 to 15 hours. For stainless steel, inter granular corrosion were analyzed. The results show that the first cycle started after about 46 hours; the second cycle started about 1% and the third cycle started with the rage of about 2 to 30%. For MMFX 2 steel, the results show that for MMFX carbon steel, the chloride threshold ratio is about 6 times higher than black bars and more than double of other types. The conclusion of the study is that in big structures like bridges, the MMFX steel should be used.

A DISCRETE EVENT SIMULATION (DES) BASED APPROACH TO MAXIMIZE THE PATIENT THROUGHPUT IN OUTPATIENT CLINIC

The healthcare system is a complex system which exhibits conditions of uncertainty, ambiguity emergence that incurs incoming patient congestion. Discrete event simulation (FlexSim) is considered as a viable decision support tool in analyzing a system for improvement. Using a data-driven discrete event simulation approach, this paper portrays a comprehensive analysis to maximize the number of patients in an on-campus clinic, located at Mississippi State University. The outcome of the analysis of current system exhibits that deploying a few nurse practitioners results in bottlenecks which decreases the systems’ throughput substantially due to the overall longer patients’ waiting time. Access to the laboratory is characterized through multi-server queuing network, arrival process is followed discrete distributions, and batch sizes and arrival times are stochastic in nature. In an effort to plummet inpatient congestion at the outpatient clinic, by using empirically calibrated simulation model, we will figure out the best balance between the number of the lab technician and incoming patient during working hour. An analysis of optimal solutions is demonstrated, which is followed by recommendation and avenues for future research.

EXPERIMENTAL STUDY OF CONCRETE PERFORMANCE

This study was experimental in nature and conducted with the view to make comparison between two samples. The first sample consisted of concrete with rice husk ash mixed in it and the other sample was without such addition. The first test conducted to test the performance was simple measurements. The results show that for the sample without addition of rice husk ash, the density was 2355.97 and for included sample, the density was 2354.44 with insignificant differences (t-stat= 0.766, P>.05). For V-B test, the sample without addition of rice husk as was 8.34 and for include sample, it was 8.01. The differences for V-B for both samples were statistically insignificant (t-stat=1.431, P>.05). The slump test without for the sample without addition of rice husk was 12.75 and for included sample, it was 18.56. The difference was statistically significant (t-stat=2.455, P<.05). The compressive strength for excluded sample was 24.32 and for included sample was 20.01. The results were statistically insignificant (t-value= 1.13, P>.05). For flexural strength test, for excluded sample, the average score was 9.02 and for included sample, the average score was 9.19. The difference was statistically insignificant (t-stat=1.45, P>.05). Overall, the results lead to the conclusion that there are insignificant differences of addition of rice husk ash in concrete.

CASE OF PARTICLE ANALYSIS FOR SELECTED MATERIAL

There are different types of material which can be used in laboratory settings. These materials possess different qualities. In this study, three types of cements including the Portland cement, calcium enhanced material, and the proroot MTA. For each category, 120 samples were taken and the average for Portland cement was 35.23 with SD of 5.23. The average of Calcium enhanced material was 41.87 with SD of 4.98. The average of Proroot MTA was 56.89 with SD of 6.73. The size range comparison based on particle analysis shows that among the three types, the MTA shows better results compare to the other types in terms of smaller particle range.

ANALYSIS OF USE OF VARIOUS MATERIALS IN WATER PURIFICATION PROJECT

Availability of clean drinking water is becoming a major issue in the 21st century. The issue is increased because of decreasing water sources and increased population and related agriculture and industrial consumption requirement. There are different methods of cleaning the water but the world is changing to more environmentally friendly methods. Use of solar still is one of the methods which has lower carbon footprints. The present study conducted an experiment and compared the performance of use of four different type of materials including wiry sponge, black volcanic rocks, coated metallic, and uncoated metallic wiry sponge. The experiment continued for 1 week and the performance was monitored on hourly basis. The results show that among the four materials used in the solar still, the coated metallic material had the highest productivity level; followed by the black volcanic rocks.

EXPERIMENTAL STUDY OF SELF-CURING CONCRETE

The study aim was to make comparison between self-curing and traditional concrete qualities in terms of hardiness and water absorption. The study was experimental in nature and made use of material including Portland Pozzolana cement, fine aggregate, and angular coarse aggregate. The three grades of concrete were used in the experiment including M10, M20, and M30 based on cube and cylinder format. The tests involved in the study included non-destructive test, compression and split tensile strength test, and water absorption test. The findings show that overall, self-curing concrete shows better performance compare to the sprinkler or fully cured concrete. Thus, the study makes recommendation that traditional concrete may be replaced with the self-curing concrete.

LARGE DATA EMBEDDING; PROBLEM & SOLUTION

The objective of the study was to propose a high capacity data embedding system from DCT domain. The default quantization table is used for fixed mask projection quantization steps. Accordingly, DCT coefficient of the host image from low to higher frequency bands and embed bits from band to band with specially designed base vectors called Hadamard vectors. The embedding scheme procedure is described step wise. The proposed system can be used for data embedding and can be associated with another encryption method to make it safer. The proposed system is reported to be highly robust and secure

A PROPOSED SOLUTION TO THE BOTTLENECK AND CAPACITY PROBLEM FOR DATA TRANSFER

There is increased need for solution to communicate larger data over the PON network. In this study, two problems including bottleneck and the capacity load problem were investigated and based on this, a solution is proposed. For methodology, N number of Nodes is used for ringbased architecture which represent the complete PON system. The nodes are the save points are created for monitoring the nodes and tracking their network faults. The distance from each node is equal and there are N number of checkpoints. The source and receiver node are selected dynamically. A ring-based network model is proposed with the optimized solution, less data loss and higher speed. The proposed work sets a scenario which is based on ring topology with 08 number of nodes with same number of save points. 800 m * 800 m is the dimension of the topography. We found that time it took to transfer a packet is about 1.01 second. For solving the bottleneck problem, the tree-based network model is used and accordingly, 4 sub-networks are taken in a hierarchal way. Comparison of results based on packet delivery shows that proposed model has better time factor in terms of sending data compared to the existing system.

ANALYSIS OF ENERGY CONSUMPTION OF SELECTED CLUSTER TECHNIQUE

The study is about wireless sensor networks which plays important role in modern human life. The wireless sensor networks pose crucial problem of energy consumption which is investigated in this study. Three types of cluster technique including K-means, Fuzzy, and SOM were analyzed in the present study based on 50 nodes and 100 nodes network. The results were compared based on various velocity m/s and percentage of energy decay in the network. The results show that among the three cluster techniques, the Fuzzy method turned out to be the most energy efficient method.