Miracle-dz/UniFAR-FTUs huggingface dataset:
Techniques to Enhance Productivity in Manufacturing Environments Using Data Mining

: Current production and manufacturing environments are drowning in data and starving for information. As a result, data mining is an area of interest to many manufacturing companies. Tons of data can be collected with relative ease, but the core issue is how to obtain timely & critical information for decision-making and eventual organizational profitability. To compound the problem, today’s customer can be described as both finicky and sophisticated. Customer demands are continually changing and the plant floor, associated supply chains and even the entire enterprise must keep up or close shop. In this paper, an enhanced technique will be used to explore solutions to data analysis problems in manufacturing environments. Integrating a pragmatic data-mining framework within the manufacturing information infrastructure will provide access to minimally sufficient critical information and improved manufacturing productivity.
EFFECT OF DIFFERENT AGRO-WASTES ON LACCASE PRODUCTION BY PLEUROTUS OSTREATUS IMI 395544

This study was carried out to utilize the agro-wastes like rice bran, wheat bran, and rice straw, and saw dust for the production of commercially important enzyme laccase. The effect of various agro-wastes on the production of laccase by white rot fungi Pleurotus ostreatus IMI 395544 was tested under stationery culture. Agro-waste (10 g ) and nitrogen source (0.5 g) in 100 ml medium were found to be optimized concentration of carbon and nitrogen sources respectively. Among the carbon source, wheat bran showed the maximum activity of laccase (0.31 U/ml) and the same carbon source along with malt extract showed 0.36 U/ml activity. The influence of different inducers and metals on the production of laccase also assayed. Laccase production was further increased by adding aromatic inducer like 2, 5 xylidine to 0.47 U/ml. The effect of copper was greatest among the tested metal ions, which gives 0.41 U/ ml laccase activity. The results suggest that P. ostreatus IMI 395544 is a high potential producer of the industrially important enzyme laccase with suitable medium components.
Comparative Implementation of DOA Algorithms

The main goal of this thesis is to develop an algorithm for smart antenna system(trans-receiver) to find the direction of arrival of signal. The algorithm studied here are: MUSIC and ESPRIT. The analysis is based on linear array antenna and the calculation of the pseudo spectra function of the estimation algorithms. MATLAB is used for simulating the algorithms.
Study of the Prevalence of overweigh and its Associations with diabetes in Miyandoab city in Iran

The increasing prevalence of overweight & obesity and its related disorders with diabetes was the aim of present study in Miyandoab city / West Azerbaijan province / north-west of Iran which has been chosen because of the lack of available documents about the prevalence of overweight, obesity and diabetes in this city. A cross-sectional study that was done emphasizing on overweight to determine its association with diabetes. The sample of the study included 84 patients referring to nutrition ward of Fatimah Hospital, who were matched in BMI, gender, age group and educational status. The data included demographic and anthropometric parts. Its validity and reliability was confirmed. The data was analyzed by SPSS20 chi-square test, and p<0.05 was considered the significant level. Eighty four patients, females (n=58; 69% of samples) and males (n=26; 31% of samples) entered in this study. The date of the study was from September 2011 up to April 2012.
Foliar Ethephon Fruit Thinning Improves Nut Quality and Could Manage Alternate Bearing in Pecan

Pecan [Carya illinoensis (Wangenh.) C. Koch] faces serious problem of alternate bearing producing large number of fruits of low quality in one year, followed by small number of fruits in next year with low total fruit production. As a consequence, the farmers get low income over years. Ethephon application in the form of foliar is considered as an alternative method for fruit thinning, however, limited published information is available on pecan. Effect of different levels of ethephon as source of ethylene on pecan fruit thinning, yield and quality was evaluated in this research. Foliar ethephon; 200, 400, 600 ppm, water spray and control (No spray) were sprayed on 27 year old pecan cultivar „Wichita‟ at New Mexico State University, Las Cruces, USA. The ethephon was used as a source of ethylene. The increase in leaf defoliation, chlorosis, and kernel quality with decrease in total kernel weight were significant. However, total number of nuts at harvest remained the same. Foliar ethephon applied at 600 ppm performed better compared with other treatments. In conclusion, the ethephon at the rate of 600 ppm as foliar spray produced good quality by reducing number of nuts in the excessive fruit loading year, which had resulted in greater fruit set in the following year. This may increase profit of the pecan growers on a regular basis.
Reinforced Q learning for WiFi/WiMAX Network in Heterogeneous Environment

with time, as some AP are extensively used under traffic scenario but other AP remain free. Each cellular node should have two connections, one is for Wi-Fi and another is for Wi-Max in cellular network. A group of overlying APs creates a Wi-Fi inside the Wi-Max coverage area. It creates number of Wi-Fi area inside Wi-Max area to enable Wi-Fi as well as Wi-Max. In Wi-Max coverage, BS can have more than one Wi-Fi spots. Multiple Wi-Fi spots shall cover the whole Wi-Max area. If there will be multiple data flow in the network, the unbalanced traffic load may occur. In this case, based on the priority, the Wi-Fi and Wi-Max split the data and transfers to the receiver for maintaining the Quality of Service. To avoid any lack in the quality of service, the bandwidth management algorithm is used to distribute the bandwidth properly across the networks by using AP and BS. Data flow
A Review On Compressive Sensing

— Wireless sensor networks consists of spatially distributed sensor nodes. These sensor nodes communicates with each other for transferring data from one node to another. Energy is consumed by the sensor nodes while transfer of data. So the energy consumption is high in wireless sensor networks. To reduce the energy consumption the compressive sensing method is given known as compressive sensing. Clustering is made in wireless sensor network for effective communication. Compressive sensing method used to reduce the energy consumption by the sensor nodes so that the energy consumed by the wireless sensor network should be less.
Improvement Fault Ride through Capability of Fixed-Speed Turbines by Unified Power Flow Controller (UPFC)

Fault ride-through (FRT) is required for wind turbines connected to the grid, which is steadily increasing in recent years. This paper presents a solution for wind energy conversion system based on use unified power flow controller (UPFC) for improving FRT. The wind energy conversion system (WECS) is considered as a fixed-speed system, equipped with a squirrelcage induction generator. The drive-train is represented by two-mass model. The analytical and simulation studies of the UPFC and proposed control scheme for improving FRT capability are presented and compared with the impact of the application of the STATCOM. The simulation results show that UPFC can improve the FRT capability of WECS compare to STATCOM. PSCAD/EMTDC software is used for simulation.
Driverless Metro Train

1,2,3 Students, Department of Electrical Engineering, Vadodara institute of engineering, Kotambi, Vadodara-390018, Gujarat, India 4Assistant Professor, Department. of Electrical Engineering, Vadodara institute of engineering, Kotambi, Vadodara-390018, Gujarat, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Nowadays the modern technologies are helpful in all aspects of our life. Due to this lots of development done in the field of transportation. In the previous years, with the use of regular metro train accidents occur due to various reasons like the fault of the driver, signal errors and another major problem is, the human-operated metro train has no control over time, mean inaccuracy in time which affect the railway network management system. To solve this problem we have a new concept of the driverless metro train. Driverless metro train improving the management system of the railway network, reduce human errors, consume less power and it provides comfort and safety to passengers during traveling.
IN VITRO ANTI PROLIFERATIVE, ANTI OXIDANT AND PHYTOCHEMICAL SCREENING OF A SIDDHA DRUG CHITTIRAMOOLA KULIGAI (CMK)

Siddha medicines are time tested formulations and having abundant anticancerous drugs cited in many classical references. Chittiramoola Kuligai (CMK) is a known drug and it is indicated for Chronic ulcers, Cancerous conditions of urogenital regions, chest regions and eight types of Gunmams (acute and chronic abdomen). The CMK is tested against HeLa cell lines which represents cervical cancer. The cell viability is applied through MTT assay technique. The different concentrations of the CMK (10 μg/ml, 50 μg/ml, 100 μg/ml) were tested. The IC 50 value was 83 μg/ml. The anti oxidant activity via different methodologies Nitric oxide and DPPH assay method were applied. The CMK is showed good anti oxidant activity by lesser concentrations. The phyto chemical analysis revealed the presence of Alkaloid, Flavanoids and Triterpinoids. These phytochemicals components may be helpful in anticancerous mechanisms. Finally the drug can be taken as choice of drug to treat cervical cancer patients and the clinical evidences must be documented.
HOW STRATEGIC PLANNING CULTURE HAS MADE EQUITY BANK REMAIN AT THE TOP IN MICRO FINANCE BANKING IN KENYA, AFRICA AND THE WORLD

The purpose of this paper is to examine how the culture of strategic planning has made Equity bank to remain at the top of microfinance banking in Kenya, Africa and the world. Equity Bank has revolutionized the banking concept in Kenya and has made banking accessible to majority of the Kenyan and East African population. The bank has done well where others have failed especially on reaching out to the bottom of the pyramid segment. Equity bank has a very strong institutional culture of strategic planning that has helped in its growth and expansion. The employees in the bank treat their jobs like a calling to liberate the people of Africa and its either you fit or you don’t fit in that culture. This culture has seen employees giving their best in terms of time and energy which has seen the company record excellent performance over the years. The study used descriptive research design. The target group was the middle level managers in the Bank. Semi-structured questionnaires and key informant interviews were used as the instruments for data collection. Data was presented by the use of both descriptive and inferential statistics. The study revealed that Equity Bank had several strategic management practices which touched on formulation, implementation and evaluation. These included selfassessment, competition analysis, resource allocation, strategic management procedures. The bank had a very strong organizational culture which it leveraged on to push the strategic International Journal of Economics, Commerce and Management, United Kingdom Licensed under Creative Common Page 645 agenda. The study concludes by retaliating that adoption of strategic planning practices and institutionalization of a supportive institutional culture are great drivers of organizational performance.
Activities of Daily Life (ADL) Recognition using Wrist-worn Accelerometer

—Activity recognition has become the necessity of smart homes, future factories, and surveillance. Activities independent of body posture predominantly exhibiting gestures involving both arm and the wrist motion supports the use of the wearable sensors for data acquisition. This paper uses an algorithm based prediction method to recognize the Activities of Daily Life (ADL) involving activities like mobility, feeding, and functional transfers. The classification of the various activities were carried out by using decision tree – J48 algorithm from the acquired dataset.
Customer Readiness in Emerging Market towards Vegetable Factories

Consumers are nowadays aware of the importance of product availability, as well as the quality and safety of the vegetable content they consume. Vegetable production in emerging markets, especially in contemporary Indonesia, still demonstrates erratic characteristics in terms of quantity and quality. Since the output static depends on several factors that cannot be controlled, such as weather, pests, and any other environment condition. Vegetable factories can represent an alternative solution for managing these problems. However, it is crucial to identify those factors considered relevant by consumers when purchasing vegetables to increase the success of vegetable factories. The survey conducted involved 680 respondents in various major cities throughout Indonesia. The results of the analysis show there to be five product-related factors considered necessary by consumers, namely: availability, physical characteristics, physical condition, branding and packaging and, finally, value for money. This research has practical implication, especially for individual or company that wants to introduce a concept of a vegetable factory in Indonesia. The five-product related factors from this research can be used to define the value proposed to the customer and the marketing strategy to make sure the business will sustain.
A STACKING FRAMEWORK FOR THE PREDICTION OF BINARY CLASSIFICATION PROBLEMS

Ensemble methods are very important feature of machine learning. It is a powerful way to improve the classifier accuracy performance. The main idea behind ensemble methodology is to combine a set of multiple learning algorithms in order to obtain better predictive performance than that can be obtained from using a single learning algorithm. The overall classifier performance can be improved with these ensemble methods. The ensemble can be done in two ways, homogenous way in which same classifiers are combined and heterogeneous or hybrid in which different classifiers are combined. This paper illustrates the construction of ensembles of heterogeneous classifiers with stacking using base classifiers such as Linear Discriminant Analysis (lda), Recursive Partitioning and Regression Trees (rpart), Generalized Linear Model (glm), K-Nearest Neighbor algorithm (knn) and Support Vector Machines with Radial Basis (svmRadial). Keeping the five base classifiers same, different meta-classifiers such as glm, random forest (rf), rpart, Neural Network (nnet) and lda were tested. A comparative analysis based on these different meta-classifiers before and after feature selection with Boruta is performed and it was found that random forest meta-classifier has achieved the maximum accuracy with all the datasets considered under study.
AUTOMATIC VEHICLE IDENTIFICATION AND TOLL COLLECTION USING RFID

- AVITC is an Automatic Vehicle Identification and Toll Collection used for collecting toll tax automatically. This paper focuses on an Electronic Toll Collection (ETC) system using Radio Frequency Identification (RFID) technology. In this system we do identification of vehicle with the help of radio frequency. Each vehicle will hold an RFID tag or card. This card is nothing but unique identification number assigned. This will be assigned by RTO or traffic governing authority. In accordance with this number we will store all basic information as well as amount he has paid in advance for the TOLL PLAZA. The tax amount will be deducted from his prepaid balance. As vehicle doesn’t have to stop in the queue, it assures time saving, fuel conservation and also contributing in saving of money.
Phenotypic and Genotypic characterization of Edwardsiell tarda isolated from Oreochromis niloticus and Clarias gariepinus at Sohag Governorate

Edwardsiella tarda is a common fish pathogen, it causes one of the most significant septicemic diseases responsible for mass mortality in freshwater fishes and consequently high economic losses. This study was carried out to investigate prevalence of E. tarda among O. niloticus (Nile tilapia) and C. gariepinus (African catfish) at Sohag Governorate and to characterize the isolates phenotypically and genotypically in addition to detection of Major fimbrial subunit gene (etfA) in them by PCR assay. Therefore, 93 samples of O. niloticus and 87 samples of C. gariepinus collected from different localities at Sohag Governorate during the period from March 2014 to March 2015. Fish samples were subjected to clinical and post-mortem examination then bacteriological examination for liver, kidney and spleen. The suspected isolates were characterized by cultural and morphological characters, some conventional biochemical tests and API 20E system then by PCR assay. 9 isolates were characterized as E. tarda [4 isolates (E1-E4) from O. niloticus (4.3%) and 5 isolates (E5-E9) from C. gariepinus (5.7%)]. The phenotypic characterization of the isolates revealed that they were homogenous except in citrate utilization and similarity percentage between them was ranged from 96.3 to 100%. Furthermore, Major fimbrial subunit gene (etfA) was demonstrated in all E. tarda isolates by PCR. Results of this study indicated that polymerase chain reaction is very reliable and rapid method for identification of E. tarda isolates which may be helpful in prevention and control of Edwardsiellosis. [El-Seedy, F. R. , Radwan, I. A. , Abd El-Galil, M. A. and Sayed, H. H. Phenotypic and Genotypic characterization of Edwardsiell tarda isolated from Oreochromis niloticus and Clarias gariepinus at Sohag Governorate. J Am Sci 2015;11(11):68-75]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 7
IMPLEMENTATION OF NETWORK SECURITY MODEL IN CLOUD COMPUTING USING ENCRYPTION TECHNIQUE

— Now a day’s cloud computing services will play high role in corporate business. It provides different service-oriented cloud computing models that have been proposed, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). This data provides needs to increasing security and privacy concerns on outsourced data. Many methods are proposed for access control of outsourced data in cloud computing; however, most of them suffer from inflexibility in implementing complex access control policies. This paper implements network security model using encryption for clouding computing. There are various older methods of security but are not enough secured like single sign on methods and various methods that are proposed using firewalls. Cloud computing requires flexible, fined grained access control so that the cloud user can rely on it.
Joint Gender and Face Recognition System for RGB-D Images with Texture and DCT Features

Gender and face recognition are one of the important challenge in various areas of security and surveillance. Joint Gender and face recognition system is devoted to the development of an automatic system capable to recognizing the faces using the facial and attribute features and to distinguish peoples gender by analyzing their faces on digital images using Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA) features. Such systems can find application in different fields, such as robotics, human computer interaction, demographic data collection, video surveillance, online audience measurement for digital signage networks and many others. RGB-D image is used for face recognition as it contains more information than 2D image thus improves the accuracy. RISE algorithm is used to compute a descriptor from the facial image based on the entropy and saliency features. Geometric facial attributes are extracted from the color image then both the descriptor and attribute match scores are fused for face recognition. In order to increase the security of the system proposed a method to perform gender recognition after performing face recognition. Naive Bayes classifier is used to recognize the HOG features for gender recognition. The experimental results indicate that the gender recognition using DCT achieves higher accuracy on color images when compared with gender recognition using other methods.
An Explanatory Study of the Parameters to Be Measured From EMG Signal

Electromyography (EMG) is the analytical study of electrical activity produced by skeletal muscles. EMG is an example of modern human computer interaction which can be used in the field of medicines and engineering. Through this paper we are going to discuss about standard parameters which can be used to analyse EMG-Surface EMG (SEMG) /surface scanning EMG signals because these parameters reflects the physiological activity of the motor unit. In this paper, we will also discuss the history of EMG, types of EMG, characteristics of EMG signal, muscles involved in movements of hand, parameters which are used to analyse EMG signal, variety of applications where EMG signals can be used. This paper will provide the researchers a good understanding of EMG signal and its analysis. This knowledge will help them to develop more powerful and efficient applications. Keywords— EMG (Electromyography), Muscles of Hand, Standard Parameters, Threshold Detection, Applications.
Viewing Inclusive Education for Children with Visual Impairments from the Equity Lens; Relevant Strategies in School and Classroom Contexts

-This conceptual review paper synthesis exiting theories and findings to collates relevant school and classroom strategies in inclusive schooling context that maximises teaching and learning among visually impaired children. The study guided by social justice and equity lenses to education to extract 50 research literature from google scholar search using the Boolean search method. The conclusion drawn from this study is that at the methodological level situating inclusive educational research within the social justice and equity approaches help researchers and practitioners to adopt more inclusive methods that elicit critical and peripheral to create critical and inclusive knowledge. The broad conclusion drawn on from the empirical review is that responsive strategies for promoting inclusive learning among visually impaired students begin with family-school collaboration toward adapting teaching to learners’ contexts and peculiar backgrounds. The teaching and learning strategies should marry concrete, participatory and unifying learning experiences. In advancing these strategies teachers must demonstrate positive feelings; adapt to the students’ level, maintain positive communication with students, motivate, elicit and sustain student’s attention in the learning process. This paper argues for a detailed future longitudinal qualitative study on responsive teaching and learning strategies from variety of cultural and socio-economic contexts. This is crucial in developing better models for maximising learning among the visually impaired in school and classroom contexts.