Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and Optimization of Miso Using Power Consumption

: Now a day the technology has dramatic growth although in some rural area. These some lack for signal service providers to overcome. In this paper proposed join beam forming using SA (Sampling Annealing) functions at layer providers. A server and Client are in same location at different providers. The server has signal means will given signal to client. Belongs to delay at traffic consumed should power allocation. That provider accessed service Layers. The model has been validated with experimental results, performed by using Primary and Secondary side loaded by real-world traffic traces. The achieved results demonstrate how the proposed model can effectively represent energy-and network-aware performance indexes. On this basis, we propose a constrained optimization policy, which seeks the best tradeoff between power consumption and packet latency times. The proper spectrum management, mobile networks are able to provide their subscribers a variety of services with different QoS levels of the BSs of mobile networks are usually sparsely deployed. If the power consumption of the PBS is reduced
Effect of Different Varieties and FYM Levels on Yield and Quality of Onion (Allium cepa L.) in Arid Western Rajasthan, India

Onion (Allium cepa L.) is one of the commonest and indispensable vegetable cum condiment crop grown for local consumption, export and processing and is used as salad and cooked in various ways in all curies, fried, boiled, baked, soup making and in pickles. Soils of Western Rajasthan, particularly in Bikaner district, contain very low clay (4–6%) and organic matter (0.08), N (0.50), P (0.25) and K (0.50). Farmyard manure rich in organic matter can be supplemented with N, P and K fertilizers. FYM not only provides most of the essential plant nutrients but also improves soil structure through binding effect on soil aggregates, cation exchange capacity, water holding capacity, fertilizers use efficiency, microbial activity and nutrient availability in soil. Farm yard manure with chemical fertilizers and their method of application help in improving the fertility and productivity and physical condition of soil (Abusaleha and Shamugvelu, 1998). Among the various factors responsible for higher yield potential, the application of adequate quantities of Farm Yard Manure is considered as one of the most effective way to boosting the crop yield (Mohanty and Prusti, 2001 and Singh et al., 1995) in soils of western International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 6 (2017) pp. 497-503 Journal homepage: http://www.ijcmas. com
DIMENSIONALITY REDUCTION USING BAYESIAN LEARNING PREDICTIVE SUBSPACES FOR SUPERVISED AND SEMI-SUPERVISED MULTI-LABEL LEARNING

: For supervised learning problems, dimensionality reduction is generally applied as a pre-processing step. However, Coupled training of dimensionality reduction and classification is proposed previously to improve the prediction performance for single-label problems. In this paper, we first introduce a novel Bayesian method that combines linear dimensionality reduction with linear binary classification for supervised multi-label learning and present a deterministic variational approximation algorithm to learn the proposed probabilistic model. The proposed method is to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to handle semi-supervised learning using a low-density assumption. Our proposed method significantly outperforms combined Bayesian with multiple kernel Fisher discriminate analysis followed by a standard kernel-based learner, especially on low dimensions.
COMPARISON BETWEEN RACEMIC BUPIVACAINE AND LEVOBUPIVACAINE ; BOTH COMBINED WITH LOW DOSE FENTANYL , THROUGH INTRATHECAL ROUTE FOR TRANSURETHRAL RESECTION OF PROSTATE

Transurethral resection of prostate (TURP), a urological operation remains the gold standard for treatment of benign prostatic hyperplasia (BPH). In TURP procedure a modified cystoscope (resectoscope) is passed up the urethra to the prostate where the surrounding tissues are excised using an electrically energized wire loop. Bleeding is controlled with coagulation current. Usually patients are elderly and suffer from cardiac, pulmonary, vascular and endocrine disorders [1]. TURP is also the surgical procedure of choice in men with symptomatic bladder outlet obstruction secondary to the bladder cancer or bladder neck contracture.
Lighting Two Candles With One Flame: An Unaided Human Identification Protocol With Security Beyond Conventional Limit

: Structuring an effective convention for staying away from the danger of account based assault in nearness of an amazing meddler remains a test for over two decades. Amid confirmation, the nonappearance of any safe connection between the prover and verifier makes things much increasingly powerless as, subsequent to watching an edge test reaction pair, clients' mystery may effortlessly get determined because of data spillage. Existing literary works just present new systems with guaranteeing better angles over past ones, while disregarding the perspectives on which their proposed plans adapt ineffectively. Obviously, the greater part of them are a long way from acceptable either are found a long way from usable or absence of security highlights. To conquer this issue, we initially present the idea of "spillage control" which puts a bar on the common data spillage rate and significantly helps in expanding both the ease of use and security measures. Prevention, yet additionally, by presenting the risk discovery procedure (in light of the idea of honeyword ), our plan "lights two candles". It not just takes out the long terms security and convenience strife under the handy situation, yet alongside risk identification from customer side, it is equipped for ensuring the mystery at the server side under the appropriated structure, and therefore, ensuring security past as far as possible.
A framework for Performance Prediction of Service-Oriented Architecture

: Service-Oriented Architecture (SOA) considered as one of the important architectural styles to build future applications. This architecture consists of a group of homogenous and autonomous components that interact with each other to accomplish a task. However, performance prediction of SOA based applications is regarded one of the complex tasks that face software developers and engineers. This paper presents a novel approach for SOA performance prediction at early stages of SDLC by using Machine Learning technique. Firstly, annotated UML diagrams are presented. Secondly, translate the UML diagrams into (QNM) model in order to extract performance indices such as Response Time, Throughput, and Utilization. Finally, machine learning technique used to predict the application model performance. The prediction result “Risk” means design does not meet customer requirement and “No Risk” means the design satisfies the customer requirements. Machine learning technique predicts the performance based on the training set against the extracted test set of the application model performance indices. The new method has many advantages, such as reducing time, scale with large system size, and avoiding problems before the service put into the production environment. To illustrate our approach, we present the results of a simple practical example.
CONTACTLESS HEART BEAT MEASUREMENT SYSTEM USING CAMERA

: This paper describes a method to measure or estimate heart rate of a person using a webcam which focuses on the face of the subject. This approach is implemented in real time by continuously obtaining colour image stream from the webcam and blind source separation to extract principle components that are shared among the RGB colour components of an image. A comparative experiment was conducted with a chest strap heartbeat measurement device and a maximum margin of error of +/- 10 bpm could be achieved. This research is the early stage development of a long range automated heart beat monitoring system.
Correlation between pulmonary arterial obstruction index (PAOI) and right ventricle to left ventricle ratio (RV/LV ratio) in CT angiography of patients with pulmonary embolism

Poster: "ECR 2014 / C-0869 / Correlation between pulmonary arterial obstruction index (PAOI) and right ventricle to left ventricle ratio (RV/LV ratio) in CT angiography of patients with pulmonary embolism" by: "T. Faghihi Langroudi, M. Raoufi, A. Arjmand Shabestari, M. Sanei Taheri, M. A. Karimi, R. Pourghorban; Tehran/IR"
Mathematical modelling of Maintenance Scheduling Based on Condition Monitoring

This study presents the application of condition monitoring in maintenance scheduling. The problems of machine inspection cost, condition monitoring instruments cost and anticipated failure cost in a repairable system were investigated. A Mathematical model was developed. Input data were obtained from an industry and combinatorial optimization procedure was used to solve the problem. Results obtained from the study provided a matrix for decision making that minimizes the total expected cost in the system for a one year planning horizon. The inspection interval of three months ie 0 4 3 2 1 3T T T T T     ,with a total expected cost of N68,514,069.00 per annum and average monthly cost of N5,709,505.75 minimizes the CBM cost in the system.
Isolation and Identification of Blastocystis hominis isolated from Irritable Bowel Syndrome Patients using Phenotypic and Genotypic Methods

— The current study was tried to detect the role of Blastocystis hominis in the pathogenicity of irritable bowel syndrome (IBS) with their’s coexistence by using the phenotypic methods by microscopic and culture and genotypic methods by PCR. The present study was conducted on 127 patients (62 males and 65 females) attended to Al-Hussein Teaching Hospital in Al-Muthanna Province from the begging of November 2014 to the end May 2015. The patients were diagnosed clinically by physician whom suffering from IBS; Patients were interviewed directly by using anonymous questionnaire form which age, gender, type of water and residence area.Inaddition to that acontrol group of 40 apparently healthy individuals (18 males and 22 females) whom were without any history of disease included in this study. Fecal specimen were collected in suitable , clean , dry container , all sample was divided into three parts, the first for microscopic examination and second for culture and final part were quickly frozen for detection B. hominis using PCR. Microscopic examination by wet mount used saline and iodine and trichrome stain then demonstrated the B. hominis and culture method on Jones media for Blastocystis hominis and Detection of virulence gene is Cysteine protease (CP gene) of B. hominis by Polymerase Chain Reaction (RCR) where detect the virulence gene. Out of 127 samples, 43 (33.86%) were found positive for B. hominis by microscopy, 56 (44.09%) by culture and 58 (45.67%) using PCR. The parasite B. hominis represent one of the main causes of IBS.
Street Lighting Design Solutions in the Efficient Lighting Program

This paper proposes some street lighting design solutions to reduce power consumption of lighting systems and adapt to the efficient lighting program. Proposed solutions will concern with luminaries, renewable energy and the operation of whole lighting system. Replacing traditional luminaries by light emitting diode luminaries and using dimmers in low density of vehicle is the first solution to reach the diminished purpose of power consumption. The second solution focuses on harnessing photovoltaic and wind power generations in isolated or gridconnected models to charge power to energy storage in daylight time. The third solution proposes a structure that combines expert system, artificial intelligence and communication technologies to have optimal operation for all lighting columns. A case study of isolated lighting column using photovoltaic power generation is concerned with more deeply and simulated in this paper. Simulation results carried out by MATLAB 2018a software showed the capability of harnessing maximum power point of photovoltaic power generation, power supply of battery and effect of dimmer in street lighting system.
Analytical Analysis for Improving Intrusion Detection System using machine learning

This paper shows a novel Intrusion Detection System (IDS) system which incorporates both irregularity and abuse identification approaches. The cross breed framework comprises of an incorporated hub having oddity detection segment and dispersed hubs having mark recognition parts. This abnormality identification part utilizes half and half machine learning calculation called k-implies bunching Support vector machine (KSVM). The calculation is executed to catch parcels from a dump record created from a sniffer called Wireshark and it produces two groups for ordinary and peculiar bundles. This framework couples the advantage of foreordained classes of SVM and no objective yield marks required in k-implies bunching.
Fish Residue Valorisation by the Production of Value-Added Compounds Towards a Sustainable Zero Waste Industry: A Critical Review

Currently, several relevant industries incorporate bioactive fish molecules (proteins, lipids to minerals) in numerous products. The low prices and high quality of the raw material determine the use of these biomolecules. The high demand for fish originates an inadequate overexploitation of marine resources. In most cases, an industry-only uses part of the fish while the rest is discarded. Fish resources are finite and it is necessary to valorise all biomass in a sustainable way. The amounts of under-utilized residues generated by fish processing industries can create serious environmental problems and have led researchers and industries to actively seek for alternative strategies where the residues from fish transformation can be used as raw materials. The biorefinery concept in the search for sustainability is thriving with the use of all substrate to obtain products to be used by different industries whilst single product extraction ceases. Research has been focused on the use of innovative, economically and environmentally sustainable extraction methods to preserve the biological activity of the molecules and respond to the increasing awareness of consumers in product related issues. These pioneer methods can transform fish wastes into added-value by-products using an efficient and viable economic strategy. In this review, the extraction of different fish residues with environmentally friendly techniques for the obtention of different bioactive compounds will be addressed. The use of different residues and techniques to extract highly desirable biologically active compounds such as collagen, gelatin, lipids, and minerals will be reviewed, demonstrating the potentiality of this subject. The main goal of this review is to help researchers, policymakers and economic agents to understand the trends and the tools available to address such a relevant topic in the years to come.
A REVIEW ON SVM TRAINING PHASE REDUCTION FOR MALWARE DETECTION

- With the increasing number of malwares, proper malware detection technique is a serious issue. Malware detection needs to differentiate between malware codes and the benign software. This survey provides an overview of different malware detection techniques proposed by different researchers, along with their advantages and limitations. When the malware family is known , the traditional signature based method and static analysis is used. However, unknown malware detection is an important issue to deal with. Efficiency of some of the techniques are focused in this paper.
Effect of Polyamine on Osmolyte and Antioxidative Enzymes in Sugarcane Grown under Sodic Soil

Sugarcane is grown in India in about 5.0 million hectors, and one fourth of the acreage is affected by salinity and alkalinity. Soil salinity threaten agricultural productivity globally in 77 million hectors of agricultural land, including 20% of irrigated area and 2.1% of un-irrigated field area all over the world. In India out of the 9.38 million ha of salt affected soil, 3.88 million ha are alkali soil and 5.5 million ha (including coastal lands) are saline soil, while every year more and more land becomes non-productive due to salt accumulation. Furthermore, there is a deterioration of about 2 million hectare (about 1%) of world agricultural land International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 12 (2019) Journal homepage: http://www.ijcmas. com
Image Denoising with Common Vector Elimination based PCA

— This paper proposes a novel image denoising technique using Principal Component Analysis (PCA). PCA is a technique useful for classification and compression of data.The purpose of PCA is to reduce dimensionality of data sets or samples by exploring new set of variables smaller than original set of variables and retains most of the samples information.Noise is having some common characteristics and it is uniformly distributed in the image.The noisy image can be decomposed by the PCA into different blocks.Eigen values for each block is calculated and the common vector from each block is eliminated.The denoising algorithm is validated by numerical experiments on grey scale lena image.Numerical results shows that the proposed method can obtain higher PSNR than former methods.
Identifying Semantic Relations between Named Entities by Latent Semantic Analysis with Different Methods..

The high-priority task of the information news flow processing system is to identify the named entities, namely the persons, organizations and geographical objects as well as the relations between them. The types of defined relations depend on the task that the extraction system and the researcher face. It is possible to identify the frequency links based on the information about the number of documents, in which a single object occurs in conjunction with another one, the semantic links that show the relationship between objects, are allocated based on the results of text parsing, and use the specified parameters of possible relationships in the form of rules. This paper will focus on latent semantic analysis as a way to extract the latent semantic relations between named entities at various ways of preparing data for analysis.
Shelf Life Stability of Enrobed Mutton Nuggets Admixed with Head and Cheek Meat

In the current study enrobing of mutton nuggets incorporated with 40% head and cheek meat was done using gram flour and refined wheat flour. The product was evaluated for its physico-chemical, sensory and storage quality. Physico-chemical parameters included pH, cooking yield and proximate composition. pH of enrobed mutton nuggets was 6.28 and non-significantly higher than control. Mean cooking yield values of control (T0), gram flour enrobed (T1) and refined wheat flour enrobed (T2) mutton nuggets were 81.43%, 104.60% and 102.48% respectively. Proximate composition showed non-significant difference among the treatments with the protein and fat content lower than the control. Storage study of enrobed mutton nuggets was conducted under refrigeration in LDPE bags and the product was evaluated at regular intervals of 5 days during its 20 days storage. There was a progressive increase in pH of the product as well as control. TBA values also showed increasing trend from day 0 to 20 th day of storage and mean values of TBA of enrobed mutton nuggets was significantly lower than control. During the storage there was constant increase in total plate count. However the product remained within the acceptability limit upto 10 th day of its refrigerated storage.
655-660 Sunil

Interferon-γ release assays (IGRAs) promised a sensitive and specific diagnosis of latent and active infections of Mycobacterium tuberculosis. Therefore, the intent of this study was to appraise the clinical usefulness of Quantiferon-Gold in Tube (QFT-GIT) for diagnosis of Pott’s disease. We prospectively observed 55 clinical radiological suspected cases of Pott’s disease. They were undergone to the detection of tubercular infection by QFT-GIT, microscopy, culture, polymerase chain reaction (PCR) and histopathological methods. The sensitivity and specificity of QFT-GIT was calculated against the combined results of performed tests. Patients classified into 2 groups as per anti tubercular treatment (ATT), 24 (43.6%) were new cases (group A) and 31 (56.4%) were relapse / on treatment cases (group B). The positivities among group A and B were; 21 (87.5%) and 19 (61.3%) on QFT-GIT, 10 (42%) and 10 (32.2%) on microscopy, 14 (58.3%) and 13 (54%) on culture, 19 (79.2%) and 18 (58%) on PCR, 21 (87.5%) and 18 (58%) on histopathology. The significant positivities differences (p value <0.05) among group A and B were found on QFT-G IT and histopathology. Moreover, we found 45 cases as a definite TB and 10 cases were negative by all tests. Out of these 45 definite TB, 38 cases and out of 10 negative cases two cases detected positive by QFT-GIT. QFT-GIT revealed higher sensitivity in new cases when compared to retreated cases. Its results are also coinciding the combined results of laboratory proven methods and this test is useful in diagnosing of Pott’s disease with 84% sensitivity.
A Survey on Text Summarization for News Articles Using Modified Neural Networks

: A machine learning approach has been proposed that uses neural networks to produce summaries of arbitrary length news articles. A neural network is trained on a corpus of articles. The trained neural network is used to classify whether a word is summary worthy or not. A neural network is trained to learn the relevant features of sentences that should be included in the summary of the article. The neural network is then modified to generalize and combine the relevant features apparent in summary sentences. A sentence is ranked depending on the number of summary worthy word. A summary is produced by taking highly ranked sentences. Finally, the modified neural network is used as a filter to summarize news articles.
REDUCTION OF ACTIVE POWER LOSS BY GROUP COMPETITION ALGORITHM

This paper proposes Group Competition (GC) algorithm for solving optimal reactive power problem. Group Competition (GC) algorithm stimulated from the contest of sport teams in a sport group. A number of individuals as sport teams contend in a simulated group for numerous weeks. Based on the group schedule in every week, teams play in pairs and their game result is determined in terms of win or loss, given known the playing strength along with the teams’ planned formations. Modeling an artificial match analysis, each team devises a new playing strategy for the subsequent week competition and this procedure is repetitive for number of seasons. In order to evaluate the validity of the proposed Group Competition (GC) algorithm, it has been tested on Standard IEEE 57,118 bus systems and simulation results reveal about the good performance of the proposed algorithm in reducing real power loss and voltage profiles are within the limits.