Miracle-dz/UniFAR-FTUs huggingface dataset:
Defining Islanding Techniques for Islanding Operation of Micro grid

A Micro grid (MG) [1], [6] is an integrated energy system comprising of distributed energy resources and multiple electrical loads operating in a single and autonomous grid. Normally, micro grid operates in interconnected mode with the medium voltage network; however, scheduled or forced isolation can also take place. Hence, micro grid must have stable operations in such conditions. When micro grid isolation takes place, its feasibility of control techniques to be adopted for its operation along with a new approach for islanding detection in distributed generation (DG) using Rate of Change of Phase Angle Difference (ROCPAD) [2] is proposed here. Using synchronous transformation based algorithm, the process begins when retrieving of the voltage and current signals at the DG end is done followed by estimation of the phasors (amplitude, phase and frequency) which is very important for computation of the phase angle difference and ROCPAD for islanding detection. The goals of this paper are to
Enhanced recommendation system using cluster based semantic link prediction

-Links or more we say relationships, among data instances are everywhere. These links are considered as the patterns or relationships or similarity between users or objects. Most of the times, all the links of the social network are not present and we need to observe the non existing links. Main goal of the link prediction problem is to identify or predict the links that can occur in future. Link prediction problem has the major relevancy in social network. Traditional methods often gives less prediction accuracy as they are mostly structure based and calculates the user similarity considering simple terms like common neighbors. Although some methods use clustering techniques but there are some drawbacks and still much to improve. In our proposed method, we presented a cluster based link prediction (CBLP) algorithm that are time efficient and predicts link in more accurate way. In this method, Firstly k-means clustering technique is used to define the clusters but the no. of clusters are defined with the proposed formula; it leads to more efficient clustering of data occurs. Secondly, calculation of user similarity for all non existing links are there with the consideration of three proposed values such that a) ratio of number of common neighbours in the same cluster to that of total number of common neighbours b) semantic similarity value between the two nodes c) ratio of product of individual degree of two nodes to that of max degree of the network. With the proposed method, we are able to achieve more AUC value.
Critical Analysis of Credit Management in Nigeria Banks

It is noteworthy to stress that management or administration of credit is a critical task facing every bank in the world of which Nigerian banks are inclusive. Specifically, the application requires experience and in-depth knowledge of banking practice. And for its effective performance, top management must be involved because of its critical importance in the overall performance of the bank and the fact that credit administration can impact either positively or negatively on the financial position of the bank. It determines the liquidity of the bank and how solid is the capital structure as well, the combination of both is imperative to determine how healthy the
Penetration Testing In System Administration

: In this paper, Authors will be discussing the penetration testing in system administration and challenges faced by the industry in securing the data and information using different techniques. Penetration Testing is modern technique of assessing the vulnerabilities in the system. It has been performed to explore all the loop holes in the system and the tester behave like an attacker. All the potential weaknesses, access to data manually or automatically being checked and verifies by the tester. The purpose of this activity is to gather all the required information to secure the data before real attack effects the system, during the process port scanning and other activities were performed and finally as report will be made to suggest improvement in the system to secure it. It is very challenging these days to secure the communication between two users although people use different encryption techniques [1].
Modelling Homogeneous Deposition of Velocity Influenced by Porosity in Penetrating Unconfined Bed, Mbiama Coastal Location, Niger Delta of Nigeria

This paper monitor the rate of homogeneous velocity in soil and water environment, several experts in different ways has developed other homogeneity of velocity outside deltaic formation, but the development model were to monitor the deposition of homogeneous velocity in the study location, this will generate monitoring of yield rate in the abstraction of ground water in the study environment, such condition were found significant to bleach the gap on monitoring and evaluation of homogeneous flow rate through predictive model, groundwater abstraction will definitely reduces abortive well through this source, the derived model will definitely monitor homogeneity of flow in design and construction of water wells, the developed concept will predict the homogeneous flow velocity in deltaic environment. The study has provided various dimensions that have generated the homogeneity of velocity through application of this derived model, experts will find this study significant in determining the homogeneous velocity of flow in deltaic formation.
Is the Use of Cannabis During Pregnancy a Risk Factor for Autism?

The use of marijuana by healthy adults is commonly viewed as having limited adverse health effects; however, its potential risks for fetal developmental abnormalities when used during pregnancy have not been thoroughly evaluated. It is, therefore, important that the effects of prenatal marijuana on the developing fetus be fully assessed in order to create a proper set of guidelines for use before, during and after pregnancy as is standard with other drugs such as alcohol and nicotine.
RECURRENT ASCITIES LIVER IS NOT ALWAYS CULPRIT: A CASE REPORT

Ascites is more common in cirrhotic patients. Bladder or ureteral injury is possible in surgeries involving lower abdomen or pelvic area which can mimic ascites. Intraoperative bladder puncture or ureteral nicking during abdominal surgeries is a rare but potentially serious complication. It is important to recognize these complications as early as possible to minimize damage and prevent further treatment complications. We report a case of recurrent ascites in a 65year-old female who underwent exploratory laparotomy for a ruptured diverticular abscess that paradoxically increased with furosemide treatment.
Characterization of a highly repetitive DNA sequence in Camellia sinensis (L.) O. Kuntze genome

Tea is a widely consumed non-alcoholic natural beverage grown mostly in tropical asia and Africa. It is a vegetatively propagated crop and thus has low genetic variability. Repetitive DNA sequences in the genome, although, are commonly recognised very useful to differentiate individuals, they have not been explored extensively in tea genome. Here we report characterization of novel repetitive motiffs in a genomic DNA clone, designated as pMST11. It was isolated and sequenced from a genomic library of Camellia sinensis (L.) O. Kuntze by reverse genomic hybridisation approach. Sequence analysis of the insert displayed a highly A+T rich (66.8%) fragment of 894 base pairs (bp) containing a 168 bp single open reading frame in minus strand. The insert exhibited twelve 15-45 bp long direct repeats, of which, six were novel, non-overlapping and more than 30 bp long. The insert sequence of the clone displayed two unique microsatellite loci, having dinucleotide repeats (AG)15 and (AG)17. Interestingly, both microsatellites contained a 15 bp-consensus sequence attached to their 3' ends. Hybridization of the pMST11 clone with the tea genomic DNA, digested individually with 17 restriction endonucleases, exhibited a continuous smear suggesting that one or more repeats are highly dispersed throughout the tea genome. Dot blot analysis of the 894 bp insert sequence with genomes of 10 out of 12 different plant species exhibited positive signals of various intensities. Human and animal genomes exhibited negligible signals suggesting plant-specific nature of the repeats. The role of these repeat sequences in context of evaluating genetic variation in vegetatively propagated tea is discussed.
ACCUMULATION OF HEAVY METALS IN INTERTIDAL GASTROPOD SHELLS USED AS BIOINDICATOR FROM URAN COAST (WEST COAST OF INDIA)

Uran, which forms the part of the main land of Konkan is along the eastern shore of Bombay Harbour opposite Colaba. At the beginning of the investigation coast of Uran was surveyed for recording intertidal gastropods. Uran and nearby coastal area surrounded by industries of chemical production. Under such circumstances coastal area of Uran is slowly becoming a ground of chemical pollution. Animals were collected from rocky shores. The accumulation of heavy metals Cu, Zn, Fe, Mn, Cd, Pb has been assessed using Atomic Absorption Spectrophotometer. (GBC 932 AA) in shells of gastropods, tissues and in the sediment. During present investigation the degree of accumulation of heavy metals in shells, tissues and sediment found in the following order. Shell accumulation of heavy metals found in order of Mn>Cu>Zn>Fe>Cd>Pb in Hemifusus pugilinus and in Bursa spinosa shell in order of Mn>Cd> Cu>Zn>Fe>Pb. In Hemifusus pugilinus accumulation of heavy metals in tissue was in following order Fe>Cu>Zn>Mn>Cd.Pb, In Bursa spinosa accumulation of heavy metals was in the following order Cu>Zn>Fe>Mn>Cd>Pb. In sediment accumulation of heavy metals found in order of Mn>Fe>Cu>Zn>Cd>Pb, The heavy metals could be accumulated in shells and soft tissues of gastropods. The use of gastropod shells as a bioindicator may be useful for determining the extent of biotransformation in aquatic food webs, as an essential component of risk assessment of heavy metals. Fe and Mn are most abundant metals found in tissues, sediments and shells as compare to other metals. Cu and Zn were accumulated higher in tissues of hemifusus pugilinus than tissues of Bursa spinosa. While concentration of Mn and Fe was higher in sediment. In shells of both the species concentration of Mn, Cu and Fe were higher. Cd and Pb also found in noticeable amount in shells of gastropods. The high concentration of heavy metals present in sediment is due to anthropogenic inputs and fishing activity. Accumulation varies as per the size and habitat distribution of gastropods. It is well known that tissues of macrobenthos accumulate heavy metals. However presence of heavy metals in shells of gastropods indicates that it is the safer depot for storage of heavy metals. Such storage should be responsible for protection of vital organs. This kind of adaptation may help for survival of the species in polluted areas. The use of gastropod shell as a bioindicator may be useful for determining the environmental change and pollution. Gastropods are among the most promising candidates used in biomonitoring studies focusing on heavy metals. The finding indicates that differences in metal distribution could be attributed to the differences in tissue physiology and detoxification strategies.
A Comparative Performance Analysis of Approximate String Matching

— This paper presents a comparative study to evaluate experimental results for approximate string matching algorithms on the basis of edit distance. We compare the algorithms in terms of the number of character comparisons and the running time for molecular data, binary alphabets English alphabets etc. The terms like word processors, web search engine, molecular sequence, DNA sequence analysis and natural language processing have lead to the development of many algorithms in the field of pattern matching in a string. Amongst the various string searching algorithms being used, here the focus is mainly approximate implementation of pattern matching algorithms such as Knuth-Morris-Pratt, Boyer-Moore, Raita, Horspool based on PHP. The comparison between these algorithms is done with the help of Levenshtein distance. It also describes the importance of design of efficient “Approximate Pattern Search Algorithms in molecular database, binary alphabets, English alphabets and so on”. This approach is advantageous from all other string-pattern matching algorithms in terms of time complexity. Therefore this procedure improves the efficiency of approximate string matching and gives the near-optimal results.
Cooperative Eigenvalue-Based Spectrum Sensing Performance Limits Under different Uncertainty

— In this contribution,proposed a technique for collaborative sensing based on the analysis of the normalized largest eigenvalues of the sample covariance matrix. Assuming that several base stations are cooperating and without the knowledge of the noise variance, the test is able to determine the presence of mobile users in a network when only few samples are available. Unlike previous heuristic techniques, also showed that the test has roots within the GLRT and provide an asymptotic random matrix analysis enabling to determine adequate threshold detection values (probability of false alarm). A collaborative spectrum sensing system with a fusion center, which utilizes the eigenvalues of the sample covariance matrix for detection, is investigated. On the example of two widely known detectors, shows that imperfect calibration with respect to the noise powers of the receivers leads to a so called SNR wall in eigenvalue-based detectors. The SNR wall manifests itself as an SNR threshold below which detection becomes impossible even if the number of samples tends to infinity. It quantify the performance limits of the detectors in question by deriving lower bounds on the SNR wall and verify them by numerical evaluation. The results show that a very large number of cooperating receivers is needed to enable detection at very low SNRs, which are customary in spectrum sensing. Also in this paper we compared all parameters in Eigenvalue based detector with other spectrum sensing techniques.
Design and Testing of Improved Village-Type Dehuller-Degerminator for Dry-Milling Process of Corn

121 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract—Majority of the available village-type corn mills in the Philippines have failed to fully satisfy the minimum product recovery and degerminator efficiency of 64% and 80%, respectively, as set by the Philippine Agricultural Engineering Standard (PAES). This resulted in the production of poor quality corn grits with high postharvest losses. Vital in improving the performance of existing village-type corn mills is the development of efficient dehuller-degerminator that responsible in the separation of germ and hull including the tip cap from the endosperm. The major part of the corn kernel that causes irritation when cooked corn grits are served in the table is primarily the tip cap and not the hull alone. The results of laboratory and field trials revealed that the developed dehuller-degerminator has a milling capacity of 367 kg/h and capable of providing milling recovery of 79.2% and degerminator efficiency of 83.8%. Significant reduction in aflatoxin level was also observed once corn kernels with high level of aflatoxin have pass through the developed dehuller-degerminator. The innovative design features a hexagonal-dented screen-huller with counter-flow auger and suction blower to efficiently separate the tip cap, germ, and hull from the endosperm.
Effectiveness of Mindfulness-Based Stress Reduction (MBSR) In Stress and Fatigue in Patients with Multiple Sclerosis (MS)

Multiple sclerosis (MS) disease can lead to creation of mental and behavioral disorders such as stress and fatigue. Controlling the problems in patients is essential. Hence, this study has considered effectiveness of mindfulnessbased stress reduction in stress and fatigue symptoms in patients with multiple sclerosis (MS). this study is in kind of semi-experimental research in form of pretest posttest pattern with control group. Statistical population of the study consists of all patients with multiple sclerosis referred to Iran MS Association by 2016. Sampling method in this study is available sampling and based on having inclusion criteria. among patients who gained point higher than 21.8 in stress inventory and point higher than 5.1 in fatigue inventory, 30 people are selected as sample randomly and are placed in 2 groups with 15 people in each group. The experimental group was placed under mindfulnessbased stress reduction (MBSR) training course including 8 sessions with 2hrs per session. k\however, no intervention was done in control group. All patients in experimental and control groups fulfilled stress and fatigue inventories before and after intervention. obtained data was analyzed using MANCOVA and in SPSS22 software. obtained results show that there is significant difference between the two groups in terms of stress and fatigue after intervention (p<0.001). according to obtained results, it could be found that treatment method of mindfulness-based stress reduction can help reduction of symptoms of stress and fatigue in patients with MS.
A Comparative Analysis of Enhanced EASSCR and EASSCR Protocol Using NS2

In wireless sensor network (WSN), deployed sensor nodes to detection an event and transmit the data from sensor nodes to the base station (BS). Stability period, energy consumption and network lifetime is a big issue in the WSN. For this purpose, a number of routing algorithms are invented. In this research paper, we are introduced enhanced energy aware sleep scheduling clustered based routing (EEASSCR) protocol is based on the clustering approach. When clustering is an approach used to minimize the energy consumption of such network. Hence it reduces the energy consumption, increase stability period of network and increases the network lifetime Basically, EEASSCR is an enhancement protocol of EASSCR. The comparative analysis of EEASSCR with EASSCR on the basis of end-to-end delay, packet loss, throughput and residual energy is done and it has found that EEASSCR is better.
SOFTWARE DEFINED WIRELESS MESH NETWORK USING INTERNET ACCESS

Established get entry to net is critical, and As such, there were numerous projects to allow wider Access to the net. Public get entry to WiFi service (PAWS) is one such initiative that takes benefit of the to be had unused ability in home broadband connections and allows much less-than-great attempt (LBE) get admission to those resources, as exemplified through Lowest price Denominator Networking (LCD Net). PAWS has been recently deployed in a poor community in Nottingham and, as any crowd-shared community, it faces restricted insurance, on account that there is a unmarried factor of net get right of entry to consistent with visitor whose availability depends on user sharing regulations. To mitigate this trouble and make bigger the insurance, we use a crowd-shared wireless mesh community (WMN), at which the home routers are interconnected as a mesh. one of these WMN gives more than one factors of internet access and might enable useful resources across all available paths to the internet backhaul. as a way to coordinate visitors redirections thru the WMN, we implement and utilise a software-defined WMN (SDWMN) control aircraft in one of the CONFINE community networks. We in addition check out the ability advantages of a crowd-shared WMN for public net get entry to through acting a comparative have a look at between A WMN and PAWS. Our experimental effects show that a Crowd-shared WMN can offer a good deal higher usage of the Shared bandwidth and can accommodate an extensively large Extent of visitor traffic.
USING ENERGY CONSERVATION TO IMPROVE THE LIFETIME OF WIRELESS SENSOR

: In the modern era, Wireless sensor network (WSN) has seen new horizons among the research community. It has largest range of applications in most of the fields. Its beauty lies in its application area and it can be deployed anywhere. WSN has low cost, low power sensor nodes, can be deployed in large numbers and can be even used in hazardous environment. However, the sensor nodes in WSN do not have longer lifetime. Therefore to meet this challenge of increasing the field lifetime of sensor nodes. A fundamental challenge in the design of Wireless Sensor Network is to enhance the network lifetime. Wireless Sensor nodes carry limited irreplaceable power source. In single static sink node based wireless sensor network, a sensor node spends most of its energy for relaying data packets especially which are located in the surrounding area of the sink node. They dissipate their energy so fast due to many to one traffic pattern and finally they die. This uneven depletion phenomenon is known as hot spot problem which becomes more serious as the number of sensor nodes increase. Replacing these energy sources in the field is usually not practicable. So if the distance between a sensor node and sink node is reduced, the energy consumption will also reduce. Here, the proposed system implements multiple sink nodes with an energy efficient routing algorithm based on local information only. Simulation results show that the networks with this lifetime-oriented strategy achieve a significant improvement on network lifetime.
Student Engagement: A Comparative Analysis Of Traditional And Nontradional Students Attending Historically Black Colleges And Universities

This study purpose was to offer a perspective on Student Engagement: A Comparative Analysis of Nontraditional and Traditional Students Attending Historically Black Colleges and Universities. This study was designed utilizing secondary data from the National Survey of Student Engagement for the 2014 academic year. In comparing traditional and non-traditional undergraduate students, both descriptive and t-test analyses were utilized to explain the differences between nontraditional and traditional students’ levels of engagement while attending Historically Black Colleges and Universities.
Multimodal Emotion Recognition for Human-Computer Interaction: A Survey

— Today, the computer and its applications has invaded our daily life, Ubiquitous Computing. The interaction between the users and computing devices is becoming similar to human-human interactions. The integration of emotion recognition in Human-Computer Interaction aims at making the interaction easier and smarter, natural interaction. This paper, presents a brief survey on current state of the multimodal emotion recognition in Human-Computer Interaction (HCI) research. We explain Emotion recognition as a research trend, its application in Human-Computer Interaction, its challenges and opportunities. The Human-Computer Interaction and Information Fusion Researches are also presented, and conclude with a proposition of steps to design a multimodal emotion recognition analyzer.