Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Computer Application Issue 4, Volume 4 (July-August 2014) Available online on http://www.rspublication.com/ijca/ijca_index.htm ISSN: 2250-1797

— The prototype system is presented using techniques designed electronic instrumentation and wireless communication technology can be used to collect physiological data and monitor cattle herds. The need to develop data acquisition techniques, which least disturb the natural behavior of animals, animal husbandry interest in accuracy was the main motivation of this work. To test the applicability of the technology of wireless sensor networks in this field, technical infrastructure using electronic instrumentation and radio frequency communication is built. The network was designed with floating base sensor network protocol (FBSN) that implements an adhoc topology with random selection of nodes. The built prototypes were used to carry out data collections of brain electrical activity and body temperature six heifers. In order to optimize the infrastructure, software was developed that from the simulation of the movement of a bovine herd helps determine the best distribution of such infrastructure in the monitored area. The results obtained showed that it is possible to use wireless sensor networks as efficient techniques for physiological data of cattle.
Survey of Call Admission Control in Femtocell Network

: This paper talks about a call admission control method for integrated macrocell-femtocell base stations. Femtocell base stations are home base stations whose coverage area is very small. They are specially designed for indoor coverage and are used for home, office and apartment. Traditional call admission control methods can’t directly apply on integrated macrocell-femtocell network as we have three different access modes called Open access, closed access & hybrid access mode in femtocell network which are absent in cellular network. For better access control, integrated macrocell femtocell network needs some modifications in traditional approach. In Open Access, the femtocell provide services to all users who come across its coverage area whereas closed access mode only register users can access femtocell services. On the hybrid access mode, service for both registered subscribers and non-registered subscribers is allowed and high priority is given to registered users. In this paper, we will discuss various existing call admission control algorithms for the integrated macrocell-femtocell network.
Effects of the Agri-environmental Program Implemented in Sultan Reeds Area of Kayseri, Turkey

This study was initiated to evaluate the effects of an agri-environment program implemented in the Sultan reeds area of Kayseri province, Turkey. The specific objectives of the study were (1) to compare the farmers who enrolled in the program with those who didn't enroll regarding their application of different sustainable agricultural practices, and (2) to determine factors affecting their enrolment in the program. The leading comparative indicators were selected from different sustainable agricultural practices either promoted by the agri-environmental program or not promoted but considered very useful for the locality. Two stratified samples of farmers (enrolled and unenrolled) were selected based on their farm size. Chisquare tests of independence were used to compare farmers on the selected sustainable agricultural practices. The logistic regression model was used to determine factors affecting the enrolment of the agrienvironment program. The findings of the chi-square test showed that enrolled farmers grow more forage legumes, are more conscious about pesticide use and chemical applications, and they use more pressurized irrigation systems. The findings of the logistic regression model showed that using rental land negatively; still, contacts with extension personnel, and using long term loans for farming investments positively influenced the enrolment of the agri-environment program. Legislative effort must concentrate on these issues when promoting agri-environmental programs in the region.
Measurement of Aerobic Capacity Using Mouthpiece vs. Mask for Data Collection

Measurement of VO2 is an important component of exercise physiology. Accurate collection of expired gases is essential in testing. The mouthpiece, nose clip, and headgear (MNH) has been the standard for collecting data during VO2 testing for several years. This method minimizes undetectable leakage, but discomfort, loss of communication with the subject, and the overall awkwardness of the headgear [1] contribute to making the MNH undesirable. The MNH prevents subjects from breathing through their nose, which is how
In Vitro Clonal Propagation of Vanilla planifolia Andrews Using Microshoot-derived Node Explants

An in vitro clonal propagation for Vanilla planifolia was developed using microshoot-derived node explants. The explants were placed on Murashige and Skoog (MS) modified medium supplemented with a combination of Indole-3acetic acid (IAA) and Kinetin (KIN) at concentrations of 0; 0,25; 0,5; 0,75; and 1 ppm. Shoot and root proliferation, as well as their elongation rates were analyzed statistically using Non Parametric test with Kruskal-Wallis. The inclusion of KIN alone (0,75 ppm) in MS modified medium resulted in highest shoot proliferation and elongation rate: 1.63 new shoots per explant with an average shoot length of 1.01 cm. Meanwhile, the best root proliferation and elongation were obtained in the MS modified medium containing 0.5 ppm IAA which produced 0.8 roots per explant with an average root length of 0.66 cm. KEYWORDS-Vanilla planifolia, Microshoot-derived node, Indole-3-acetic acid, Kinetin.
ADVERSE HEALTH EFFECTS OF EXPOSURE TO CADMIUM IN DENTAL TECHNICIANS

Dental technicians are susceptible to a number of chemical occupational hazards. Cadmium pigments may present a problem in dental laboratory in which large quantities of acrylic powders are inhaled. No studies have considered the influences of cadmium on the health of dental technician. To evaluate the side effects of cadmium which used during processing appliances on the health of dental technicians. 20 dental technicians and 20 control from prothodontics departments, faculty of dentistry, Alexandria university and participated in this study , blood samples were collected to measure levels of as cadmium, iron, copper, zinc, calcium, hemoglobin, red blood cell, mean corpuscular volume and ferritin. Cadmium levels were also measured in urine sample, the pulmonary function test were done to exposed subject. The levels of cadmium were significantly (p<0.001) higher in exposed than control in both blood and urine samples, while, Hemoglobin, mean corpuscular volume, red blood cell, ferritin, iron, copper, zinc and calcium levels in exposed subjects were significantly (p<0.001) lower than control. Also Respiratory function parameters were lower in dental technicians with a significant difference than predicted for vital capacity and maximum voluntary ventilation. Our results prove that cadmium exposure cause anemia and may be a risk factor for the occurrence of respiratory disease to dental technicians.
Big Data Analytics With Reference To Wide Variety of Domains

In the current day scenario, a huge amount of data is been generated from various heterogeneous sources like social networks, business apps, government sector, marketing, health care system, sensors, machine log data which is created at such a high speed and other sources. Big Data is chosen as one among the upcoming area of research by several industries. In this paper, the author presents wide collection of literature that has been reviewed and analyzed. This paper emphasizes on Big Data Technologies, Application & Challenges, a comparative study on architectures, methodologies, tools, and survey results proposed by various researchers are presented
EGGS: E-News Geo-parsing and Geocoding for Spatial Information Visualization

: With the deluge of information content in the web generated through various online news portals and social networks, there is an urgent need to analyze these data in the context of geographical proximity and relatedness for various administrative and other miscellaneous purposes. Currently spatial interpretation of these information is not a direct and easy process. Often spatial or geographical references are hidden in informal, ungrammatical, and multilingual data making it cumbersome to identify and analyze the content. In this study we propose a system EGGS to crawl and extract geographical references from E-News contents. Then geocoding of extracted geographical references and visualization of news on the map to analyze the content spatially has been done. The extraction of geographical references from text consists of two phases: Location Entity extraction and Disambiguation. The main challenge is disambiguation of place names. A filtration techniques is used to resolve the issue of ambiguity. The Spatial information extracted from the text contents may be used for integrated study of text mining and spatial mining of news text.
AN APPROACH: TO CONSIDER LINK QUALITY OF OLSR USING THE PERFORMANCE EVALUATION OF OLSR-ML AND OLSR-MD IN MANET

In mobile ad hoc networks end-user devices can communicate anywhere and anytime they want, without the need for any pre-existing infrastructure. The drastically different nature of ad-hoc networks also poses various challenges such as limited bandwidth. In a MANET, OLSR plays a very crucial role in forwarding the packet with the help of the Multipoint Relay(MPR) . Thus its selection should be very effective. Through Multipoint Relay the packets are forwarded further in the network without flooding the network. Beside this it can expend a lot of resources by selecting the Multipoint Relay and exchanging Topology Control information and also does not require much consideration about link quality that results in degrade network performance. With the help of these ideas I have done performance analysis of OLSR versions like OLSR-ML and OLSR-MD using NS2 simulator. By simulation results, we would be able to consider the link quality of OLSR and compare the results between OLSR-ML and OLSR-MD protocols in terms of the packet delivery ratio (PDR), normalized routing load and throughput.
Clustering based Feature Selection from High Dimensional Data

:- Data mining techniques have been widely applied to extract knowledge from large databases. Data mining searches for relationships and global patterns that exist in large databases that are ‘hidden’ among the huge data. Feature selection involves selecting the most useful features from the given data set and reduces dimensionality. Graph clustering method is used for feature selection. Features which are most relevant to the target class and independent of other are selected from the cluster. The feature subset obtained is given to the various supervised learning algorithms to increase the learning accuracy and obtain best feature subset. The feature selection can be efficient and effective using clustering approach. Based on the criteria of efficiency in terms of time complexity and effectiveness in terms of quality of data, useful features from the big data can be selected.
THE STUDY AND OPTIMIZATION OF FINGERPRINT VERIFICATION USING SIFT APPROACH ON PORES AND RIDGES OF FINGERPRINTS

— - Today’s modernization and advancement in the area of information and telecommunications technologies that comprises for a fully automated computerized process through which human efforts were decreases and working of information exchange takes place, however, systems where the authenticity is require related to the access an account of user can improve identification process by utilizing biometric recognition which provides more security. Fingerprint based personal identification is becoming more and more popular in day uses of life. An accurate real time automatic fingerprint identification system designing is of great importance in many circumstances, and because this circumstances many scholars put their interest on this. The aim is to propose a approach using pores and ridges feature to extract and match it conveniently to increase or optimize the verification quality in term genuine acceptance rate. Image normalization is done using Gaussian blurring and sliding window contrast adjustment. Pores are extracted and estimated. Using these estimated pores, matching is done from template database to stored database using SIFT algorithm.
Color Image Processing in Digital Image

The use of color in image processing is motivated by two principal factors.nbsp First, color is a powerful descriptor that often simplifies object identification and extraction from a scene. Color image processing is divided into two major areas: full-color and pseudo-color processing.nbsp In the first category, the images in question typically are acquired with a full-color sensor, such as a color TV camera or color scanner.nbsp In the second category, the problem is on of assigning a color to a particular monochrome intensity or range of intensities. Until recently, most digital color image processing was done at the pseudo color level. However, in the past decade, color sensors and hardware for processing color images have become available at reasonable prices. The result is that full-color image processing techniques are now used in a broad range of applications, including publishing, visualization, and the Internet.
Selection of Resistance to Venturia inaequalis in Apple: Using Phenotypic and Genotypic Methods in Combination

Apple (Malus × domestica Borkh.) is an important fruit species widely cultivated in the temperate regions of the world [1]. It ranks third in terms of production with annual production of about 84.6 million tons [2]. Apple is a major industry and millions of people are associated with it. However like any other crop species many diseases cause huge economic losses to the growers. Apple scab caused by the fungal pathogen Venturia inaequalis is the major disease of apples in almost all parts of the world where it is cultivated. Strategies like disease predictors or forecasters combined with fungicides have been employed in scab management with some degree of success [3,4]. Fungicide use is unpleasant as it is costly besides being hazardous ecologically. The fungicides also tend to get accumulated in the fruit thus making fungicide treated apples unpopular among the consumers. The best option is the development of blemish free fruit devoid of any pesticide residues. To find such cultivars one has to identify scab resistant varieties from all the genotypes of a region [5]. Majority of scab resistant apple varieties are of inferior quality than Venturia inaequalis susceptible but high quality apples. In such cases the scab resistant varieties are used in breeding programs with other varieties of high quality to develop good quality scab resistant apples [6]. The paper presents different methods used for identification of scab resistant sources in apple and discuses how a combination of phenotypic and genotypic screening methods is more reliable than using only one method of the two.
Tracking of Maneuvering Targets using Particle Filter

: Target Tracking has become a challenging task in many fields of science. The tracking problem involves estimating moving target’s states using noisy measurements obtained at a single observation point. Particle filter offers a general solution for such problems. This paper presents the application of particle filtering technique to a target tracking example, in which a radar sends a signal towards a maneuvering target (aircraft) and estimates the state (position and velocity) of the target using the observations (Range and Bearing angle). This paper also deals with the analysis of the effect of number of particles in the performance of Particle Filter algorithm. Simulation is done in the MATLAB. From the analysis, it can be concluded that increase in the number of particles will give more optimal solution for the tracking problem.
Intrusion Detection Model based on Differential Evolution

ABSTRACT Information systems need to be constantly monitored and audited; analysis of security event logs in heavy traffic networks is a challenging task. In this paper we considered Differential Evolution for the intrusion detection problem. We used NSL_KDD dataset for our experiments which is derived from the standard KDD CUP 99 Intrusion Dataset. We also provided the comparative results of the differential evolution with the state of the art classification algorithm like SVM. We reduced the dimension/features of the NSK_KDD datasets using rough set algorithm and ran DE and SVM this increased the speed of the evolutionary algorithm without compromising the detection rate. General Terms optimization technique, which is population basIntrusion Detection Systems, Optimization algorithms robust. Keywords author this algorithm is not used for intrusion detection up to Common Intrusion Detection Framework (CIDF), Differential Evolution (DE), Support Vector Machines (SVM),
Cadmium Induced Changes in the Growth and Oxidative Metabolism of Green Gram-Vigna radiata Linn

Phytotoxicity is a term used to describe the degree of toxic effect by a compound on the growth of plants. It is caused by a wide variety of compounds, including heavy metals, salinity, pesticides, phytotoxins or allelopathy. The sensitivity of plants to heavy metals depends on an interrelated network of physiological and molecular mechanisms such as uptake and accumulation of metals from cytoplasm to extra cellular exudates and cell wall constituents; efflux of heavy metals from cytoplasm to extra nuclear compartments including vacuoles; complexation of heavy metal ions inside the cell by various substances, for example, organic acids, phytochelatins, amino acids and metallothioneins; accumulation of osmolytes and induction of antioxidative enzymes; activation or modification of plant metabolism to allow adequate functioning of metabolic pathways and rapid repair of damaged cell structures [1]. Cadmium (Cd), being highly toxic metal pollutants of soils, which inhibits the root and shoot growth (yield), affects nutrient uptake. The application of sewage sludge, waste and cadmium containing fertilizers causes the increase of cadmium content in soils. As green gram is a stress sensitive legume, the present investigation was undertaken to analyze whether cadmium produces oxidative stress during early stages of seedling development.
Image Analysis Using Improved Otsu‘s Thresholding Method

--A fresh and new algorithm for retrieval of image is accessible using improved Otsu thresholding techniques in this chapter. The fundamental design work of the new algorithm is that the basic segments of the image are used to retrieve images within a digital library. the histogram derived from threshold. These methods include some knowledge of the distribution of an image, & will result in the less miss-classification. Isodata algorithm is the iterative process for finding a threshold value. It first segments the image into two regions according to a temporary threshold value chosen . It then calculates the mean value of an image corresponding to the two segmented regions. Calculate the new threshold value & repeat until the threshold value does not change any more. Finally, choose this value for the threshold segmentation. One of the advantages of the algorithm is that, for a given retrieval image, the user can select a query segment with which to perform retrieval, thus it can satisfy different needs from different users.
STUDY OF ORGANIZATIONAL CLIMATE IN RELATION TO TEACHER EFFECTIVENESS OF SECONDARY SCHOOL TEACHERS

The present study was conducted to study the relationship between organizational climate and teacher effectiveness of secondary school teachers. A sample of 100 teachers (50 males: 25 government school teachers & 25 private school teachers; 50 females: 25 government school teachers & 25 private school teachers) teaching in government and private secondary schools of Darbhanga district of Bihar were randomly selected. School Organizational Climate Description Questionnaire (SOCDQ) by Dr. Motilal Sharma (1978) and Teacher Effectiveness Scale (TES) by Pramod Kumar & D. N. Mutha (1985) were used to collect the data. The data were analyzed using descriptive analyses (Mean, Standard Deviations), correlational analyses (Coefficient of Correlation ‘r’) and differential analyses (‘t’test). The results of the study revealed that (i) there is significant positive relationship between organizational climate and teacher effectiveness of secondary school teachers (ii) there is no significant difference between male and female secondary school teachers in respect of organizational climate. (iii) there is significant difference between male and female secondary school teachers in respect of teacher effectiveness. (iv) there is significant difference between government and private secondary school teachers in respect of organizational climate. (v) there is significant difference between government and private secondary school teachers in respect of teacher effectiveness. This study may address the gap in the literature and provides some input which may help the administrators to create a better and positive organizational climate to enhance the teacher effectiveness and their efficiency to accomplish the goals of institution.
The utility of cerebrospinal fluid biomarkers of Alzheimer’s disease and the APOE genotype in the characterisation of mild cognitive impairment and prodromal Alzheimer’s disease

Introduction: The use of biomarkers (β-amyloid peptide and Tau protein) in the cerebrospinal fluid (CSF) is useful to identify patients with mild cognitive impairment (MCI) due to Alzheimer’s disease (AD). Other variables, such as a family history of dementia, medial temporal atrophy (MTA) and the ApoE genotype can also help characterize patients with MCI due to AD. Aim: To identify, using CSF biomarkers for AD in a series of patients with amnestic MCI, those with true prodromal AD and the variables that characterize them. Subjects and Methods: Forty-one patients with amnestic MCI were studied and evaluated using the memory alteration test (MAT). Biomarkers for AD were determined in the CSF, and the patients classified as having amnestic MCI due to AD if the Hulstaert index was ≤ 1.0 and levels of phosphorylated tau protein ≥ 61 pg/mL. MTA was assessed by MRI using Scheltens visual rating scale. All patients were found to have the ApoE genotype. Results: Thirty of the patients were classified as having MCI due to AD. Compared with cases that were not due to AD, no significant differences were found with regard to age, sex, family history of dementia, MAT score or MTA measured with the visual rating scale. The group with MCI due to AD had a higher prevalence of the e4 allele (63.3% vs. 18.2%, p=0.012). Conclusions: Amnestic MCI can be classified as prodromal AD based on CSF biomarkers and the ApoE genotype, but not based on the assessment of MTA using a visual rating scale.