Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovring Frequent Item Sets from attribute and tuple uncertainty data model

— the database used in upcoming applications like RFID system, GPS system, location based services; sensor monitoring systems are frequently inaccurate in nature. The important problem of finding frequent item sets from a large uncertain database which is interpreted under the Possible World (PW). This issue is technically difficult because an uncertain database contains an exponential number of possible worlds. This can be solved by creating approximate algorithm that can efficiently and precisely find frequent item sets in a large uncertain database. The important problem of maintaining the mining result of a database that is growing (e.g. inserting new tuple). In particular incremental mining algorithms which allow Probabilistic Frequent Item set (PFI) results to be refreshed. So by using incremental mining algorithm reduces the need of re-executing the whole mining algorithm on the new database again, which is a lot more expensive and unnecessary. We observe how an existing algorithm that find exact item sets as well as approximate algorithm which support incremental mining. Also finding frequent item sets when providing range by using decision tree Index
ANT COLONY OPTIMIZATION FOR SOLVING TRAVELING SALESMAN PROBLEM

: An ant colony capable of solving the traveling salesman problem (TSP). TSP is NP-hard problem. Even though the problem itself is simple, when the number of city is large, the search space will become extremely large and it becomes very difficult to find the optimal solution in a short time. One of the main ideas of ant algorithms is the indirect communication of a colony of agents, called (artificial) ants, based on pheromone trails (pheromones are also used by real ants for communication). The (artificial) pheromone trails are a kind of distributed numeric information which is modified by the ants to reflect their experience while solving a particular problem. Computer simulations demonstrate that the artificial ant colony is capable of generating good solutions to both symmetric and asymmetric instances of the TSP. The method is an example, like simulated annealing, neural networks, and evolutionary computation, of the successful use of a natural metaphor to design an optimization algorithm.
Using Indirect Mutual Trust and Enabling Dynamic Data in Cloud Computing Storage Systems

-Cloud service providers (CSP) are the services that provide storage space as a service for the organizations to store their important data on a server of the system. A cloud based storage scheme that permit the data owner to service from the facilities CSP and enables indirect mutual trust between them. The important feature of this scheme: First one it permits the owner to outsource sensitive data to a CSP, and perform full block level dynamic operations on the external data (i.e. append , deletion , insertion and modification). Second one it ensures that approved users (i.e. those that have the right to access the owner’s file) receive the most recent version of the outsourced data. Third one it allows indirect mutual trust between the owner and also the cloud service providers. And fourth one it permits the owner to grant or revoke access to the external data. That justifies its performance through hypothetical analysis, model implementation and evaluation of communication, computation and storage overheads towards the cloud computing environment.
An Efficient Trip Planner for Time Dependent Road Networks

: Management of transportation systems has become increasingly important in many real applications such as location-based services, supply chain management, traffic control, and so on. These applications usually involve queries over spatial road networks with dynamically changing and complicated traffic conditions. When we consider road network, route search and optimal path queries are two important types of queries. A path query returns a path that is a set of points that connects the source and destination. The optimal path queries find the optimum path from set information. In the case of road network users give some specification about the travelling with or without constraints. The optimal path queries optimize the possible paths and give the optimal path that satisfies all the constraints. The road network mainly deals with time dependent parameters A spatial road network can be modeled by a large graph in a 2-dimensional geographical space, whose edges correspond to road segments, and are associated with weights related to the traffic information. This paper, mainly focus on finding one of the best path that has minimum travel time. User can select the query points and Candidate plans are generated based on the selected points. To reduce the search space time interval pruning and probabilistic pruning strategies are implemented. Finally the best plan is refined based on a probabilistic threshold.
Object Oriented Software Testability (OOSTe) Metrics Assessment

Testability is an important and essential software quality factor which is not easy to measure. Lot of object oriented metrics are found to be relevant in doing so. These metrics have been applied for object oriented software testability assessment mostly during software in software design phase. In this paper a framework using static and dynamic metric along with set of various popular metrics option under each category is proposed to calculate the object oriented software testability. So that one can go beyond the design time testability evaluation and instead do assessment on overall system at various development phases. This research paper provides the theoretical framework based on related work done on software testability measurement using object oriented metrics suite.
The Effect of Moisture Content on Thermal Properties of Some Selected Species of Egusi Melon (Colocynthis citrillus L.)

Thermal properties of crops are very important in the design of drying, processing and storage equipment. To this end, the thermal conductivity, specific heat capacity and thermal diffusivity of three egusi melon species Bakabaka (Cucumeropsismannii), Bara (Colocynthis citrullus) and Wuruwuru (Cucumis melo) were determined as a function of moisture content. The thermal conductivities were determined by the Lees’ Disc method. Thermal diffusivity was determined experimentally by the use of a cylindrical tube and a thermally controlled water bath while Specific Heat Capacity was determined by the method of mixtures. The thermal conductivity of Cucumeropsis mannii varied from 0.33 to 0.49 Wm C at 3.28 – 23.12% w.b; for Colocynthis citrullus from 0.33 to 0.51 Wm C at 2.45 – 20.69% w.b and for Cucumis melo from 0.39 to 0.56 Wm C at 1.87 – 22.06% w.b. all increase with moisture content; thermal diffusivity increased linearly from 0.09 × 10 to 0.12 × 10 ms with increasing moisture content in the range of 6.57 to 60.8% w.b for Cucumis meloand decreased linearly from 0.13 × 10 to 0.10 × 10 ms with increasing moisture content in the range of 5.79 to 53.65% for Colocynthis citrullus. The Specific Heat Capacity varied from 1.39 KJ.kgoC to 3.42 KJ.kgoC at moisture content range of 5.79 to 41.80 % w.b and from 1.51 KJ.kg oC to 2.45 KJ.kg oC at 6.59 to 39.62% for Colocynthis citrullus and Cucumis melo respectively. Thermal conductivity and specific capacity were found to increase linearly with increasing moisture content while thermal diffusivity increase in moisture content for Cucumis melo but decreased with increasing moisture for Colocynthis citrullus. The values obtained could be used as parameters in the designing and manufacturing of equipment for packaging egusi melon for safe storage and longer shelf life. Keywords—Egusi species, Lees’ disc apparatus, specific capacity, thermal conductivity, thermal diffusivity.
EEG SIGNAL CLASSIFICATION FEATURES ANALYSIS FOR BRAIN DISEASES DIAGNOSIS USING MATLAB

: The project proposes Associate in nursing automatic network for stage classification victimization artificial neural network for tumour and brain disorder detection for medical application. The detection of the tumour could be a difficult drawback, as a result of the structure of the tumour cells. The artificially created neural network are accustomed classify the stage of brain graphical record signal that's tumour case or brain disorder case or traditional. The manual analysis of the signal is time intense, inexact and needs intensive trained person to avoid diagnostic errors. Back Propagation Network with image and processing techniques was used to implement an automatic tumour classification. The higher process was performed in 2 stages: feature extraction victimization Principal element Analysis and therefore the classification victimization Back Propagation Network (BPN). The performance of the BPN classifier was evaluated in terms of coaching performance and classification accuracies. Back Propagation Network offers quick and correct classification than alternative neural networks and it's a promising tool for classification of the Tumors.
Malware Detection Using N-GRAM Based File Signature Based Method

— We know that malware can affect on computer data, they disturb computer . there is large growth in virus of different like Trojan horses, worms, benign etc. however developer has need pay attention on that activity ,need to develop strong anti-analysis technique for that. Malware detection is critical technique in computer security. Signature based method for malware detection is used, this is mostly used in commercial antivirus software but this method detects malware only when virus caused damage or already registered. Otherwise it fail to detect malware. Applying a methodology proven successful in similar problem-domains, we propose the use of n-grams as file signatures in order to detect unknown malware whilst keeping low false positive ratio. We show that n-grams signatures provide an effective way to detect unknown malware.
ATM Security using Iris Recognition Technology and RFID (2017)

: The dawn of monetary transactions has brought about a new economic and technological reform around the world. Along with the continuous development of technology, security concerns are also increasing. ATM or Automated Teller Machine, which helps in transaction of money anytime, and anywhere, faces the threat of fraud and theft, and thus, there is a need for high security to provide safety to the consumer market. Iris technology, which uses the iris pattern of an individual as an identity proof, along with radiofrequency identification, is the best method to address and eradicate the threats involved in ATM transactions.
Research of Improved FP-Growth (IFP) Algorithm in Association Rules Mining

: Exploring frequent itemset from huge transactional database has been the most time consuming process of association rule mining.Up-to-date, various algorithms have been popularized in the area of frequent itemset generation. The FP-growth algorithms are the most familiar algorithms. FP-growth algorithm adopts tree structure for storing information producing in longer runtime. FP-growth algorithm faces the problem in complexity of space and time complexity. To develop the efficiency of the FP-growth algorithm, Improvised FP-growth (IFP) algorithm was introduced. In this paper, the benchmark databases considered for comparison are Chess, Connect and Mushroom. It was found out that the IFP-Growth algorithm outperforms FP-growth algorithms for all databases in the criteria of runtime and memory usage.
Review of Content-based Recommendation System

--Content-basedrecommendation systems try to recommend items similar to those a given user hasliked in the past.Recommender systems guides user in a personalizedway to interesting objects in a large space of possible options. Indeed, the basic process performed by a content-based recommenderconsists in matching up the attributes of a user profile in which preferencesand interests are stored, with the attributes of a content object (item), in order torecommend to the user new interesting items. It provides an overview ofcontent-based recommender systems, with the aim of imposing a degree of order onthe diversity of the different aspects involved in their design and implementation.
E - Learning and C.B.T in Polytechnic Education System in Nigeria

Information Technology had become a very significant tool in order to ease our daily routines, this applied to Polytechnic Education will enhance and increase the productivity of the Institution. This research examines the opinion of some students and lecturers in The Federal Polytechnic Ado-Ekiti on the relevance of E learning and CBT in Polytechnic Education system being a practical oriented education system. The opinion of nine hundred and thirty students which represent a good proportion of the students and two hundred and forty academic staffs were examined. Multiple bar chart and Kappa statistic were employed in order to achieve the itemized aim. Based on the analysis, findings and conclusion drawn, E learning and CBT should be encouraged in Polytechnic but with a platform that enhance and develop practical knowledge of the Students.
A System Detecting Unstable Behaviour of Human Sentiments Using Bio Signals

- The capacity to discover suppositions is one of the indications of notions insight. Unsteady Human Sentiments Detection System (UHSDS) is executed to recognize estimations using physiological signs created from numerous subjects. IAPS (International Affective Picture System) pictures were abused to fortify point Sentiments. There are distinctive physiological signs: Electrocardiogram (EKG or ECG), Blood Volume Pulse (BVP), Electromyography (EMG) and Skin Temperature (SKT) remained got particularities for distinguishing proof the outcome. Two outline association frameworks, Fisher Differentiate and SVM framework are produced and took a gander at for energized state gathering. The trial results demonstrate that the future procedure gives uncommonly consistent and fruitful Passionate arrangement execution as 92% in extra of six assessments states. Experimenters measured higher Heart Rates among recalled displeasure and joy outside an examination focus circumstance with a Smartphone application that rely on upon Photoplethysmography.
Implementation of Three phase SPWM Inverter with Minimum Number of Power Electronic Components

In the past decades, the researchers have dealt with the conventional topology, which possesses sum switches of Multilevel Inverter is applied to PWM method. The present research work has been introduced a new method of multilevel inverter using reduced switches is applied with PWM technique. In introduction part the conventional new multilevel inverter & switching pattern are explained. In second part PWM technique of proposed work and circuits is explained. The width of this pulses are modulated in order to obtain inverter output voltage control and to reduce its harmonic content. Sinusoidal pulse width modulation or SPWM is the most common method in motor control and inverter application. Conventionally, to generate the signal, triangle wave as a carrier signal is compared with the sinusoidal wave, whose frequency is the desired frequency.
A General Review of Face Hallucination Methods

— In this paper various approaches for face hallucination has been studied. Face hallucination transform a low resolution face image into high resolution face image by enhancing the low resolution part of the image, a low resolution image can be developed from HR image by the process of down sampling, but if a low resolution image has to convert into HR image that is not so easy process. Face hallucination utilizes various approaches that have been used to transform low resolution image into high resolution. In this paper different algorithms have been reviewed for face hallucination.
Design and Implementation of Pipelined AES Processor on FPGA

- The paper presents high speed architecture for the hardware implementation of the Advanced Encryption Standard (AES) Algorithm. The proposed design employs a Galois Field, GF(28), SubBytes (S-Box) transformation based on Rijndael algorithm in the Field Programmable Gate Arrays (FPGAs). The implementation of S-Box carried out by two stages pipelining for the small area occupancy and high throughput. In addition key expansion architecture suitable for the pipelined AES also presented. The design is implemented and synthesized using Xilinx ISE v13.4 and Xilinx Spartan-3E XC3S2500E-4 as a target device. The timing results from the Place and Route report indicate that area occupied by this architecture is 67% of the slices.
Does Media Exposure of Firm IT Practices Matter To Firm Market Value?

: Extant literature on information technology business value has proposed firm market value as a better measure than traditional firm performance measures, such as return on investment (ROI). Interestingly, however, it solely focuses on the tangible effects of IT investments and overlooks a simple fact that firm market value is a type of perceived performance, which is significantly influenced by intangible effects of firm IT practices (such as IT investments, changes of IT leadership, and reports of IT implementation) on attitude of investors towards and reputation of the focal firm. In this study we extend existing research by focusing on IT media exposure, defined as the extent to which firm IT practices are reported by media within a prescribed period, and argue that IT media exposure is positively related to firm market value. We suggest that this is because IT media exposure can facilitate three mechanisms – improving attitude of investors, building firm reputation and signaling firm IT capability. To test our conjecture, we collected data of 26 companies among S&P 500 under the health care section over a period of 1991-2012 (22 years) and conducted a multilevel analysis (MLM). The results of data analysis support our hypothesis.
A Survey of Crawling of Untagged Web Resources Using Ontology

— The accelerated surge of the web resources is one of the current research areas. Focused crawler is one of the resources discovery systems; this is used to fetch the appropriate web pages based on the search topic from the WWW. Here, we discussed about different approaches of focused crawler for relevance prediction and also for finding the appropriate contents. Ontology is one of the techniques for describing the knowledge and for finding the relationship between the concepts. Thus, this survey deals with focused crawler using ontology.
INHIBITORY EFFECT OF DPPH RADICAL SCAVENGING ACTIVITY AND HYDROXYL RADICALS (OH) ACTIVITY OF SOLANUM TUBEROSUM

This study aimed to investigate possible antioxidant activity of various concentration extracts of Solanum tuberosum. The explored items were 1diphenyl 2-picrylhyorazyl (DPPH) activity and hydroxyl radicals (OH). DPPH scavenging activity of leaf extracts of S. tuberosum was evaluated 48.1% at 4.0 mg/ml and that of stem was 39.6% at same concentration. DPPH scavenging activity of tuber extracts of S. tuberosum was evaluated at 4.0 mg/ml was only 10.1% at same concentration. When the L-Ascorbic acid used as a control, extract for leaves of S. tuberosum was 63.7% effects on the activation of DPPH and those of stems and flowers were 52.4% and 28.5%, respectively. The highest OH activity was recorded in the leaf extract among three vegetative and one reproductive organs. OH activity of matured stems was 55.5% at 4.0 mg/ml and leaves, tubers, and flowers were 52.1%, 16.2, and 23.26% at same concentration, respectively. When the H2O2 used as a control, extract for stems of S. tuberosum was 71.6% effects on the activation of OH and those of leaves, tubers, and flowers were 67.3%, 20.9%, and 29.9%, respectively. These findings suggested that activity of DPPH enzymes and OH by extract from S. tuberosum might contribute to their antioxidant activities in biological and phytochemical examination.
Transcoding in Two-class P2P Streaming Systems

: We study the issue of P2P streaming system with transcoding and expose the fundamental characteristics and mathematical theory of the system in the two-class network structure. We ﬁnd out and prove that, in a two-class P2P streaming system, to provide peers receiving data above some given ﬂow rate, there is a lower bound of source server load. We give an algorithm to achieve this minimal server load. We also compare the minimal server load by our algorithm with typical traditional design without transcoding in various situations in our simulation experiments, and analyze how much beneﬁt system can get from the utilization of transcoding technique. The results show that, if transcoding technique is utilized appropriately, better performance of two-class P2P streaming system can be achieved.
ULTRAPRECISION HIGH RATE ANODIC DISSOLUTION PROCESSES IN ECM

As electronic packages become smaller in size, the pitch of metal line is getting shorter. Decrease of line pitch in electronic packages and substrate of electronic component causes the electrochemical migration (ECM) more frequently. If the electronic components are exposed to high temperature and high humidity environments with authorized voltage condition, the metals in packages and substrate are easily ionized and form conductive dendrites, leading to insulation failure. ECM process consists of three steps: anodic dissolution, ion migration, and dendritic growth. Under low concentration of passivating electrolyte, low machining voltage and high-frequency short-pulse current, the machining gap can be reduced to about 10 mum. A deep microhole about 100 mum in diameter was drilled by edge-cut electrode on stainless steel with 750 mum thickness. The process of NC micro-EC milling is proposed, and microstructures with high-aspect ratio on stainless steel were fabricated by micro-EC milling, such as profiled micro-hole, micro spiral beam and micro array square columns
The Effect Postnatal and Long-Term Outcome of Assisted Reproductive Technique on Newborns

Assisted Reproductive Technique rates (ART) are increasing worldwide and ART related births are1.4 % of U.S. births. Parallel to the rise in ART rates, publications that demonstrate intrauterine growth retardation, premature birth, perinatal mortality, very low birth weight, large birth weight and congenital anomalies as contributing factors for poor perinatal outcomes have also increased. Preterm delivery increase morbidity due to the conditions associated with prematurity including intraventricular hemorrhage, periventricular leukomalacia, necrotizing enterocolitis, retinopathy of prematurity, and respiratory distress syndrome thus cerebral palsy associated with PVL and mortality increased. The association of IVF with longer term clinical events has not been fully resolved but also the in-vitro techniques, the causes of infertility, the controlled ovarian stimulation, culture media, and possibly additional freezing or vitrification procedures seem to play a role. These increased risks are Multifactorial and related both ART procedures and underlying infertility. Therefore there have to be investigate risks of individual birth defects and disentangle the inter-related effects of different types of infertility and the multiple aspects of ART and the effect of ART procedures and underlying infertility on perinatal mortality and morbidity and on long-term outcome of babies.