Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Milk Adulteration Using MID-IR Spectroscopy

A straightforward and quick technique for discovery and measurement of milk corruption has been created utilizing mid-infrared (MIR) spectrometers. Milk samples was purchased from local supermarkets and spiked with tap water, hydrogen peroxide, glucose, urea and formaldehyde in different concentrations in milk. Spectral data was collected using mid-infrared (MIR) spectrometers. Partial least-square regression (PLSR) has been used to estimate adulteration level and results showed high coefficients of determination (R) and standard error of predication (SEP). The use of Fourier transform infrared (FTIR) spectroscopy coupled with chemo metric techniques to differentiate of milk adulteration. These results proved that FTIR spectroscopy in combination with multivariate calibration can be used for the detection of milk adulteration. The proposed technique is quick, non-dangerous, straightforward and simple to utilize.
Survey Paper on Smart Surveillance System

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - This paper deals with the survey of Smart surveillance monitoring system using Raspberry pi. Video Surveillance is important as far as security is concerned these days. Commercial spaces, schools and hospitals, warehouses and other challenging indoor and outdoor environments require high end cameras. The current technologies require RFIDs which are costly and hence the security domain in all becomes expensive and hence there was a need to work on this. This paper describes the use of low cost single on board computer Raspberry Pi. This new technology is less expensive and in this project it is used as a standalone platform for image processing. It increases the usage of mobile technology to provide essential security to our homes and for other control applications. The proposed home security system captures information and transmits it via a 3G Dongle to a Smart
User Prediction in a Role for Secure Data Sharing Through Cloud

Nowadays cloud is being used by both individuals and organizations to store and share the data without establishing their own data center. The outsourcings of these data are becoming a major security issue for businesses. Searchable encryption is one of the prominent techniques which allow the data owner to securely store the data and then share the data for their growth in business. With this technique, Cloud Service Provider can process the user request by searching on encrypted stored data without decrypting the data. In this paper we analyze different searchable encryption techniques for secure data sharing and their preventive attacks. We also proposed a method named “User Prediction in Role” to reduce the insider attack possibility in Role Based Data Sharing (RBDS), which is based on user p
Numerical Analysis of One-Dimensional Unsteady State Heat Transfer Through a Plane Wall Using Visual Basic

: In present work a teaching module for teaching unsteady state heat transfer using visual basic has been presented. A Visual Basic computer program has been written to solve the unsteady state heat transfer through a plane wall and has been shown with the help of computer graphics. The governing equation has been modelled using finite difference numerical procedure in which the wall is divided into a number of nodes and temperature at each node has been calculated using Visual Basic code. The program returns the values of temperature at each node into excel sheet and a coloured plot of these temperatures with time and space on the Graphical User Interface. With this module parametric study of different parameters affecting the unsteady state heat transfer such as diffusivity, time difference, number of nodes, distance between two nodes etc. can be performed.
A Review on Feature Selection MethodsforHigh Dimensional Data

— Feature selection has become an important task for effective application of data mining techniquesin real-world high dimensional datasets. It is a process that selects a subset of original features by removing irrelevant and redundant features on the basis of the evaluation criteria without loss of information content. A feature selection method helps to reduce computational complexity of learning algorithm, improve prediction performance, better data understanding and reduce data storage space. Feature selectionhas gained more popularity in data mining and machine learning applications. The general procedure of feature selection process and overview of filter, wrapper and embedded method present in literature form the subject matter of this paper.
Event Detection in Twitter Using Mentioning Practice of the User

: Twitter is one of the most popular Online Social Networks (OSN’s) nowadays. Twitter is valuable source of timely information. Detecting events in the twitter is difficult task; information on Twitter is overwhelmed by huge volume of uninteresting tweets. Prior works may not be appropriate, because it focuses on only textual contents. In Twitter user may also inserts non-textual contents of their interest. Event detection in Twitter Using mentioning practice of the user (EDT), a novel method that gives desired result of creation frequency of dynamic links (i
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Every year in India, most of the car accidents are occurs and affects on number of lives. Most of the road accidents are occurs due to driver’s inattention and fatigue. Drivers require to focus on different circumstances, together with vehicle speed and path, the separation between vehicles, passing vehicles, and potential risky or uncommon events ahead. Also the accident occurs due to the who bring into play cell phones at the same time as driving, drink and drive, etc. Due to this, most of the companies of automobiles tries to make available best Advanced Driver Assistance System (ADAS) to the customer to avoid the accidents. The lane detection approach is one of the method provided by automobile companies in ADAS, in which the vehicle must follows the lane. Therefore, there is less chance to get an accident. The information obtained from the lane is used to alert the driver. Therefore most of the researchers are attracted towards this field. But, due to the varying road circumstances, it is very difficult to detect the lane. The computer apparition and machine learning approaches are presents in most of the articles. In this article, we presents the deep learning scheme for identification of lane. There are two phases are presents in this work. In a first phase the image transformation is done and in second phase lane detection is occurred. At first, the proposed model gets the numerous lane pictures and changes the picture into its relating Bird's eye view picture by using Inverse perspective mapping transformation. The Deep Convolutional Neural Network (DCNN) classifier to identify the lane from the bird’s eye view image. The Earth WormCrow Search Algorithm (EW-CSA) is designed to help DCNN with the optimal weights. The DCNN classifier gets trained with the view picture from the bird’s eye image and the optimal weights are selected through newly developed EW-CSA algorithm. All these algorithms are performed in MATLAB. The simulation results shows that the exact detection of lane of road. Also, the accuracy, sensitivity, and specificity are calculated and its values are 0.99512, 0.9925, and 0.995 respectively.
KEYSTROKE DYNAMICS FOR USER AUTHENTICATION

— In this paper, authentication method is based on keystroke along with the current username and password system. a multifactor authentication scheme using the keystroke dynamics. The scheme is composed of two keystroke patterns levels. In this first level, the speed of each user’s password is measured depending on the comparisons between the registered speeds with different calculated thresholds. In the case of large deviations in the typing speeds, the user must transit to the second authentication level. In this level, the user decrypts ciphered thresholds by using his/her private key. The objective of this paper is to provide a strong authentication method and to assign a high accepted value of the typing speed by training the user to type his/her password 100 times as a pretext before the actual registration level . In this case, the system results in a high precise speed values. The system is analyzed using different statistical measurements.
Exploring Rapid and Efficient Protocol for Isolation of Fungal DNA

Rapid and reliable detection of pathogenic organisms is a basic requirement for diagnosis of food-borne illness and diseases. The detection of fungal pathogens in clinical and plant samples by PCR requires an efficient method of DNA extraction. A variety of extraction protocol is available for isolation of DNA. No single extraction method seems to be optimal for all organisms (Bolano et al., 2001). Fungus may form mycellial growth (filamentous) or spores on the media depending upon the strain used. The fungus is freeze dried or lyophilized before isolation. Fungal nucleases and high polysaccharide content (mannan, β-glucans and chitin) in rigid cell wall (Chaffin et al., 1998) add to the difficulties in isolating DNA from filamentous fungi (Muller et al., 1998; Fredricks et al., 2005). Therefore, additional lysis steps, such as mechanical disruption or sonication, enzymatic digestion or use of toxic chemicals are required (Alaey et al., 2005). The CTAB extraction method was originally developed by Doyle and Doyle in 1987 for plant tissue extraction. It was considered superior for removing carbohydrates but it is timeconsuming and labor-intensive and does not result DNA yields satisfactorily from all biological samples including fungal mycelia and spores. A variety of modified CTAB methods are now available (Saghai-Maroof et al., 1984) for extraction and purification of fungal DNA using organic solvents (Blin and Stafford, 1976). Besides, several DNA International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 3 (2017) pp. 951-960 Journal homepage: http://www.ijcmas. com
ISOLATED BIDIRECTIONAL DC-DC CONVERTERS IN FUEL CELL ELECTRIC VEHICLE

---------------------------------------------------------------------***--------------------------------------------------------------AbstractIn recent years, the application of high power isolated bidirectional DC-DC converters has increased in fuel cell vehicles and battery based energy storage systems. The main advantages of fuel cells are clean electricity generation high density current output ability, and high efficiency operation. The fuel cell lacks energy storage capability. So in electric vehicle applications, an auxiliary energy storage device (i.e., lead-acid battery) is always used for a cold start and to absorb the regenerated energy fed back by the electric machine. A bidirectional dc to dc converter is necessary between the energy storage battery and the supply to match the voltage level. The regenerated braking energy can be fed back to store the battery using the DC-DC converter. So here the paper presents an isolated bidirectional DC-DC converter with high conversion ratio which can be used in Fuel cell electric vehicles. The simulation of converter with low voltage of 24 V and high voltage of 200V is done using MATLAB/SIMULINK with fuel cell as the input and BLDC motor as the load.
3-D Geostatistical Model and Volumetric Estimation of ‘Del’ Field, Niger

The search for hydrocarbon is becoming increasingly more difficult and expensive. Because most of the identified structural closures on the shelf and upper slope have been drilled, the search for hydrocarbon and its production requires more creativity in optimizing and integrating existing data. The reservoir is the habitat of petroleum, and therefore an enhanced understanding of the reservoir will enable a proper prediction of its characteristics and requisite inputs for modeling. A reservoir that is well understood will ultimately result in a field that is well managed. Mapping the right reservoir, understanding of reservoir characteristics most importantly porosity, permeability, water-saturation, thickness and area extent of the reservoir so as to have a maximum hydrocarbon reserves have been a major challenge in the exploration and exploitation of hydrocarbon in major hydrocarbon fields within the world today such as Niger-Delta. Steady success in the exploitation for oil and gas reserves in Niger-Delta therefore depend on having a clear understanding about the subsurface geology of the area. The ability to accurately identify the fluid present within the reservoir, predict the petro physical parameters, model and estimate accurately the amount of reserves in the reservoir will aid in a successful exploitation for hydrocarbon.
Management of displaced transverse fractures of the patella using tension band wiring with or without augmented circumferential cerclage wiring: a comparative study

Fractures of patella are very much common in adults. Transverse fractures of this bone account for most of the fractures. Most of these transverse fractures are displaced and associated with failure of extensor mechanism at knee. In such cases, open reduction and internal fixation (ORIF) is the recommended treatment to restore the extensor mechanism and augment fracture healing to ascertain early knee movements. Among the various methods employed for the ORIF of these fractures tension band wiring (TBW) technique using Kwires and stainless steel wires is the most commonly used. TBW works by converting the tensile forces into ABSTRACT
Electricity Potentials and Chemical Components Generation from Kitchen Waste, Palm Kernel Waste, and Cow Dung in Microbial Fuel Cells (MFCs)

A great variety of substrates can be used in MFCs for electricity production, ranging from pure compounds to complex mixtures of organic matter present in wastewater and organic waste. This study was designed to source mainly for agricultural wastes for MFC based on their nutritional components. Three (3) common agricultural wastes in Nigeria, Palm kernel waste (POPW), Kitchen waste (KW) and Cow dung (CD) were utilized singly or in synergy; POPW+ KW, POPW+ CD, POPW+ KW+ CD) as substrate for MFC. The proximate and mineral components of these substrates were analyzed to explicate the nutrient potentials for microorganisms (electrogens) associated with electricity generation. The ash content of the organic wastes ranged from 10.5821. 78mg/g; fat content (5.84-42.75mg/g); crude fibre (3.95-12.50mg/g); moisture content (8.24-32.24%); crude protein (8.2111.69mg/g), while the carbohydrate content was between 12.01 and 40.49%. Meanwhile, the mineral content of the wastes ranged from 1.04 3.80 x10 3 ppm for sodium (Na); 2.21-9.51 x 10 4 ppm for potassium (K) and 4.32-8.60x 10 3 ppm for calcium (Ca). The concentration of magnesium (Mg), iron (Fe), zinc (Zn), and lead (Pb) contents was low in each of the wastes. The power density generated in the different bio wastes was between 47.49 and 279.52mW/m 2 . In the meantime, the current and voltage generated ranged between 0.174mA in KW+ CD to 0.650mA in KW and 0.11V in POPW+ CD to 0.59V in KW respectively. The high energy potential derived from the kitchen waste and its synergistic component (s) can be credited to their high carbohydrate contents and the availability of metallic ions of Fe, Mg, Zn and Pb. The physicochemical constituents of these wastes make them good substrates for electricity generation.
Geometric Morphometric Analysis of Hybrid Supposed to be from Tilapia Zillii (Gervais, 1848) and Tilapia Guineensis (Bleeker, 1862) in Ebrié Lagoon (Côte d’Ivoire)

Geometric morphometric methods were used to identify hybrids from Tilapia zillii and T. guineensis in Ebrié lagoon among seven groups of tilapia. Artificial hybrids, obtained in breeding design from crosses between pure species of Tilapia zillii and T. guineensis, and natural known hybrids sampled in Ayamé I man-made Lake, were used as reference specimens. The other specimens were obtained from sampling carried out during a whole year in five sites of Ebrié Lagoon (Layo, Songon, Taboth, N’djem and Ahua), characterized by a great chemical pollution. The morphometric studies were based on 19 landmarks and Procrustes superimposition was used to extract shape data. Average body shape was compared among groups using Canonical Variates Analysis (CVA), Cluster Analysis and MANOVA. There was no significant difference between hybrids (putative hybrids from Ebrié Lagoon, natural hybrids from Ayamé I man-made Lake and artificial hybrid from breeding design) and their morphology was intermediate to those of parental pure species. Moreover, pure species of T. guineensis is very close to putative hybrids from Ebrié Lagoon and ones from AyaméI Lake, contrary to Tilapia zillii. Thus, high introgressive hybridization was probably happened between hybrids and T. guineensis. That is a real threat for T. guineensis pure species which is disappearing progressively to be replaced by hybrids. Geometric Morphometric Analysis of hybrid supposed to be from Tilapia Zillii (Gervais, 1848) and Tilapia Guineensis (Bleeker, 1862) in Ebrié Lagoon (Côte d’Ivoire) 336
Survey on Segmentation of Partially Overlapping Objects

- Digital image segmentation is the process of partitioning an image into multiple segments or sets of pixels, also known as super-pixels. The goal of segmentation is to simplify change the representation of a digital image into something that is more meaningful and easier to analyze. It is typically used to locate objects and boundaries such as lines and curves to detect the relevant information in images. Efficient image segmentation is one of the most critical tasks in automatic image processing. Hence this literature survey studies various existing methods presents a segmentation of clustered partially overlapping objects.
Icro fabricated Capacitive Micro-machined Ultrasonic Transducers (CMUTs) became suitable substitute for the piezoelectric devices after large scale research and development in the micromachining techniques [1]-[3]. CMUT provides large improvement over piezoelectric transducers in terms of bandwidth,

A Capacitive Micro-machined Ultrasonic Transducer (CMUT) with hexagonal membrane is constructed to work as a transmitter and compared to a CMUT with circular membrane. In this paper, three desirable combination of circular and hexagon are analyzed to select the dimensions for hexagonal shaped CMUT. Capacitive Micro-machined Ultrasonic Transducer (CMUT) is a micro constructed transducer used both as transmitter for generating ultrasonic waves and as receiver to modulate the electrical capacitance of the capacitive transducer. It can be fabricated with many geometries especially circular, square, rectangular, and hexagon. Circular CMUTs offers optimum performance in terms of deflection with DC, deflection of biased membrane with AC bias, resonant frequency, capacitance and deflection along frequency but for array formation the wafer area is wasted. A CMUT with hexagonal membrane gives an ultrasonic signal of constant amplitude with less deflection of membrane within the cavity and the outside environment. Stationary analysis is carried out with electro-mechanics for discussing the capacitance change of CMUT. The collapse or pull in voltage of hexagon CMUT is found to be high and increases the bandwidth of CMUT. The absolute percent difference of resonant frequency is observed to be 2.3 % with dimensions selected from the COH configuration of the CMUT.
Consumer Perception of Mobile Advertising Values and Attitude Towards Mobile Advertising in Anambra State, Nigeria

The study examined if there was relationship between consumer attitude towards mobile advertising and their perception of the informativeness, entertainment, credibility and irritativeness of mobile ads. The questionnaire was used to gather the primary data from of 400 mobile phone (GSM) users in Onitsha metropolis, Anambra State, Nigeria selected through non-probability sampling method. The frequency tables, percentages and Spearman’s co coefficient were used to analyse the data. The results indicated that entertainment, informativeness, and credibility of mobile advert value leads to 66.9%, 67.6%, and 66.7% positive effect respectively on the consumer attitude towards mobile advertising; while irritation leads to 15.7% negative effect on the consumer attitude towards mobile advertising. The study further posit that informativeness (67.6%) is the most important factor that impacts on consumers perceptions, followed by entertainmen credibility (66.7%), and then irritation ( study recommended that marketers need to (i) ensure that messages are sent to consumers at a reasonable time during the day based on consumers’ preference. Messages should be sent in suitable amount so as to avoid interruption and disturbance to consumers; (ii) seek ways to increase the level of entertainment pleasurable experience that can be derived from SMS advertisements. To this end, MMS (multimedia message services) substitute is the closest option that can balance out this inherent default SMS entertainment limitation. | Volume – 1 | Issue – 5 6470 | www.ijtsrd. com | Volume Journal of Trend in Scientific and Development (IJTSRD) Njideka Nancy, Umeadi. Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria
Descripció i quantificació de la microbiota intestinal associada al càncer colorectal

Colorectal Cancer is the main type of cancer in Spain. Up to 90% of the cases are sporadic in nature and its aetiology is still unclear. It is supposed to be a multi-factorial disease, where factors play an important role in the tumor onset and development, like microbiota. The main goal of this study was to describe and quantify the bacterial community of the intestinal mucosa associated to colorectal cancer patients. This work has revealed the existence of a bacterial dysbiosis in colorectal cancer patients, which is in agreement with previous research. Specific phylotypes previously descrived using stool samples and also new phylotypes were associated with this disease.Furthermore, streptococcal populations have been studied and also a case report from a patient who present an infection caused by E. faecalis at the same time of CRC diagnosed. Future research should focus on specific aspects of intestinal microbiota such as its interaction with the host, together with the mechanisms by which bacteria can affect on the onset of tumor in the colon.
Accelerating Content Based Music Retrieval Using Audio Fingerprinting

— Audio Fingerprinting is a content-based signature to refer from original audio file. Audio Fingerprinting technique is commonly used to monitor the audio without the need of meta-data. Fingerprinting approaches are Pattern matching, Multimedia Information Retrieval and Cryptography. For browsing and identifying the audio content from large audio data collection set is a major strand for research. The best solution for identifying the audio content is Audio ID System in which the specified audio is identified by passing a short query audio clip from a large set of audio data set. As the main contribution, the system establishes the connection between the hash values which are mainly used for indexing and their ability to survive the presence of noise and distortions. This improves the performance of the audio ID system by using following four ways: First, the fingerprints are generated to increase its reliability. Second, by providing the priority to reliable hash values which are basically use during searching for reference entries, it improves the retrieval speed. Third increase the identification of reliable hash values by enlarging the query fingerprint. Fourth indexing only the reliable hash values, this lowers the server side storage requirements.