Miracle-dz/UniFAR-FTUs huggingface dataset:
VTEAM Model Based In-Memory Computation using Memristors

The recent applications in the computing field deals with huge data processing operations, which involves a lot of data transfer from the memory to processing unit and vice versa. If these data transfers between the CPU and memory are reduced, a lot of time could be saved along with advantage of getting desirable outputs at a lower latency. One of the ways to achieve this is to adopt In-memory computational techniques, where most of the computations happen inside memory itself. Memristive crossbar architecture is a memory architecture which makes use of memristors as memory cells to store data with some added computational capabilities. The need for power efficient computing in the present days motivates the search for new nonvolatile universal memories like memristors. In this paper, we present an optimal way of implementing basic ALU operations in the memristive memory block. A detailed description for simulating this is given, which includes the creation of memristor symbol, choosing a suitable memristive logic to implement basic digital logics, creation of memory crossbar and the way to realize basic ALU operations.
Integration of E-Commerce and Cloud Computing For Implementation of Business Based on ICT in Indonesia

— Cloud computing is an innovation of technology that can be used for implementation of business based on Information and Communication Technology (ICT) in Indonesia. It is supported by the increasing of e-commerce growth and cloud computing itself. The integration between e-commerce and cloud computing is one of the solution on improving economic growth based on technology. In its implementation, businessmen can choose suitable services by considering their resources. In this paper, we explain about the integration of e-commerce and cloud computing that consider the aspects of business growth and technology in Indonesia.
ROBUST WIRELESS REPROGRAMMING METHOD USING DIFFERENTIAL APPROACH FOR WIRELESS SENSOR NETWORKS

The concept of software reprogramming in wireless sensor networks allows end users to improve the overall functionality of sensor network. The main aim of software reprogramming in WSN is to improve the energy utilization performance with low cost. In this paper initially we are discussing the overall research categories of software reprogramming and then discussing the different protocols presented for software. In this paper two problems of software reprogramming in WSN are investigated such as energy efficiency improvement as well as improvement in reprogramming delay. The new method introduced here with aim of improving the energy efficiency and delay of reprogramming. This new method is based on differential reprogramming mechanism which that mitigates the effects of program layout modifications and retains maximum similarity between old and new software using a clone detection mechanism. Moreover, this proposed method organizes the global variables in a novel way that eliminates the effect of variable shifting. We studied the previous method called Stream which we implemented here and compared this with our proposed approach. In this paper we have presented our initial simulation results which are carried using the NS2 tool.
A New Algorithm to Find Longest Common Sub-sequence’s

— In the study of pattern matching, string matching is an important topic and also an important component in the application of computer science. The Longest Common Subsequence (LCS) problem is to find a subsequence which is common to at least two or more given sequences. The sub-sequence which has the largest length is the longest common subsequence. This paper describes a new algo-rithm to find the longest common subsequence between two strings. In this paper we introduce two pruning operations which improve the speed up of the algorithm. The proposed algorithm emphasizes on the optimization of the running time & improvement of time complexity against the existing well-known improved dynamic programming algorithm for LCS. The further significance of this algorithm is that this al-gorithm can also be applied in multiple sequences. The comparison between the performance of the proposed algorithm with pruning and without pruning operations has also been analysed.
Isolation of Potential Laccase Producing Strain Lenzites sp. DK14 and Laccase Production Using Response Surface Methodology

Laccases are multi copper containing enzyme that belongs to oxidoreductase group. White rot fungi are most extensively investigated for laccase due to its wide substrate specificity towards aromatic compounds containing hydroxyl and amine groups. They catalyze oxidation of a number of organic and inorganic substrates such as mono-, di-, polyphenols, methoxyphenols, aromatic amines and ascorbate with parallel four-electron reduction of oxygen to water (Thurston, 1994; Sharma et al., 2013). Due to this laccases are valuable for diverse uses in numerous biotechnological practices in paper pulping and food industries, decolourization of dyes and textile effluents, biosensors improvement, PAHs and other pollutant degradation (Sharma et al., 2013; Couto and Herrera, 2006).
An Automated Computer Aided System for Tumor Detection in Brain

: Image processing is an active research area in which medical image processing is a highly challenging field. Brain tumor is a serious life altering disease condition which faces the challenge of detecting brain tumor through Magnetic Resonance Image (MRI). The proposed fast bounding box method (FBB) using symmetry will be very helpful for segmentation and detection. This algorithm consists of the three stages namely pre processing, region of interest (ROI) and post processing. At last the post processed image undergoes feature extraction for classification of tumorwith the help of database.
Study of MIMO Detection schemes for Emerging Wireless Communications

Multiple-input multiple-output (MIMO) based communications are one of the assuring technology for wireless networks to give a high information rates and spatial productivity. The most difficult part of the MIMO frameworks is the signal detection and receiving at the receiver. In this research work, we feature the basics MIMO recognition systems. The investigation is separated in two classifications as coded and uncoded MIMO frameworks. Additionally, we perform a detailed study about the impact of iterative processing on MIMO systems. The advantages and drawbacks of each MIMO detection method is discussed. Furthermore, several recent author contributions related to performance enhancement of MIMO detection are revisited throughout this study. The analytical results are given with comparative performance and complexity trade-off of MIMO recognition strategies.
The Combined Value of Faecal Haemoglobin and Calprotectin in Diagnosis of Colorectal Cancer in Symptomatic Patients Referred to Colonoscopy

Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide and has a considerable impact on both the individual and the health care system. The majority of patients with CRC have their initial consultation in primary care [1]. However, the symptoms of CRC often present late. In addition, a vast majority of patients seeking primary care for symptoms associated with CRC (rectal bleeding, a change in bowel habits, diarrhoea, constipation and abdominal pain) are not diagnosed with CRC [2-4]. Therefore, general screening programs among individuals at average risk for CRC, along with guidelines for urgent referral, are implemented widely to reduce mortality of the disease [5,6]. However, there is still a need for improved screening strategies for CRC [4,7,3]. The recommended “gold standard” screening tool for CRC today is endoscopic examination, such as sigmoidoscopy or colonoscopy, but such examinations are resource-demanding, highly costly and inconvenient for the patients [8-11]. The most important factor in screening is patient adherence, and therefore annual faecal occult blood tests have been suggested as an alternative to endoscopy in CRC screening [7]. Analysis of faecal haemoglobin (F-Hb) using either guaiac-based (gFOBT) tests or, more recently, immunological (FIT) tests [12] is commonly used as a primary screening tool, since it requires no preparation, is cost-effective, and relatively convenient for the patient [13]. A positive F-Hb test is an indication of bleeding in the gastrointestinal (GI) tract, which could be caused *Corresponding author: Richard Palmqvist, Department of Medical Biosciences/ Pathology, Umeå University, Sweden. Received Date: September 12, 2019 Published Date: September 17, 2019 Scientific Journal of Gastroenterology & Hepatology Open Access
Smart Grid State Estimation by Weighted Least Square Estimation

— The smart grid is an advanced power grid with many new added functions and more reliability than the traditional grid. More controlled power flow is enabled in the smart grid by use of features from fields of communication, control system, signal processing etc. Knowing the present condition of the system is critical for signal processing applications and hence more accurate state estimation is important. State of the system along with information about the network topology will give complete information about the power grid network. In this paper the network topology is modeled using the MATPOWER package, a powerful software package of MATLAB. Weighted Least Square (WLS) state estimation is used to develop equations and algorithms for state estimation. The linear state estimation problem is formulated with linear methods using phasor measurement unit (PMU) data. The measurements which are included in the observation vector and also the size of the system (given by number of busses in the system) are important and these features affect the accuracy of the system state estimate. In this paper, state estimates of IEEE standard bus system of different size are stimulated using MATPOWER package. Also state estimates are stimulated, with different measurement parameters in the observation vector and the stimulation result obtained are compared.
Quantile Regression Estimation of Stock Market Volatility and Its Causes

Stock market volatility is the amount of uncertainty or risk about the size of changes in stock market security value. In this study, GARCH model was built to generate stock price volatility and quantile regression estimation was used to determine the cause of volatility in stock market at different quantile level. The study provides the graphical presentation of the coefficients estimated and the variables employed. The results of the study showed that the previous residuals (ARCH effect) are significantly contributed to stock market volatility at lower quantile level (0.1, 0.25, and 0.5) and the previous volatility significant only at higher quantile level (0.9), while only exchange rate return is significant among the external causes considered.
An Automatic Alignment and Grouping of Hadoop Cluster

The MapReduce Framework and Hadoop is the platform for scalable analysis on large Datasets in recent years. The primary concern in the Hadoop is to minimize the completion length (i.e., makespan) and fixed number of MapReduce jobs. This makes performance low and causes low resource utilization. To overcome this, we propose a system which dynamically allocates the map and reduce jobs, thus leading to high resource utilization and reduced completion length. The dynamic allocation of MapReduce jobs is achieved by implementing Combiner Interface in MapReduce Framework. The Proposed solution is implemented in the Amazon EC2 Cluster in both Homogeneous and Heterogeneous Clusters. The experimental results show the effectiveness and robustness of our proposed system under simple workloads.nbsp
An Optimised SVD with SFLA & ABC for Spectrum Sensing in Cognitive Radio

– The aim of this study is to focus on spectrum sensing in cognitive radio which is a recently introduced technology in order to increase the spectrum efficiency. We studied the Singular value decomposition based signal detector and its advantages over the energy based signal detection. Soft thresholding technique for spectrum sensing is optimized using SFLA (Shuffled Frog Leaping) and Ant Bee Colony algorithm. Results shows that SFLA and ABC outperforms then SVD based signal detector to improve its performance, especially under low SNR simulation.
A Detail Review on Unmanned Aeronautical Ad-hoc Networks

One of the most significant design issues for multi-UAV (Unmanned Air Vehicle) systems is the communication which is necessary for collaboration and cooperation among the UAVs. If all Unmanned Air Vehicle systems are directly linked to an infrastructure, i.e. a satellite or a ground base, the communication among UAVs can be observed via the infrastructure. Since, this infrastructure depending communication architecture limits the abilities of the multi-UAV systems. Ad-hoc networking among UAVs can solve the problems creating from a fully infrastructure depending UAV networks. In this review paper, Flying Ad-Hoc Networks (FANETs) are reviewed which is an ad hoc network linking the UAVs. The differences between MANETs, FANETs and VANETs (Vehicle Ad-Hoc Networks) are explained first, and then the significant FANET design issues are proposed. Along with the available FANET protocols, open research issues are also talked about.
Efficient Geosocial Application Query Processing With Privacy Preserving Policy

- In recent years use of smart phones enables user to communicate surrounding environment through applications. User frequently searches information by asking other individuals even when they have admittance to huge reservoirs of information such as the internet and libraries. Friend recommendations are become very common source of information particularly for location-specific, community-specific and time-specific. This new era of geosocial application brings many threats to the security of the user. Many algorithms and privacy preserving frameworks have been proposed in the literature
PROPOSAL FOR EXPLORING POSSIBILITIES FOR FINGER PHOTOPLETHYSMOGRAPHY AS A SUBSTITUTE FOR PULSE DIAGNOSIS IN AYURVEDA

Ancient Indian system of medicine popularly known as Ayurveda was heavily dependent on diagnosis through nadi parikshan i.e. pulse diagnosis. This required no sophisticated instrument and was totally dependent on the expertise of the expert. In the modern times we have highly sophisticated instruments but the expertise available earlier for diagnosis is missing. This paper proposes use of modern instruments to overcome this lacking expertise and hence to revive this dying art of nadi parikshan.
Optical, Photoluminescence and Electrical properties of Vacuum evaporated

Thin films of ZnS of different thickness have been prepared on glass substrates at room temperature by vacuum deposition. The thickness of the deposited films was measured by employing quartz crystal monitor method. The optical properties have been studied in the range of wavelength 250-500nm. The optical band gap, absorption coefficient and extinction coefficient values of different thickness have been estimated. The Photoluminescence emission spectra of ZnS films of thickness 550Å, 1150Å and 1850Å have been studied with different excitation wave lengths. In Photoluminescence spectra, recombination processes are observed with emission energies less than Eg. The intensity of the PL signal at the room temperature, averaging of the experimental points can be carried out in order to find more clear PL characteristics. The electrical resistivity measurements were performed at room temperature by four probe method and it shows ZnS films with high resistivity.
COMPARISON OF DATA MINING TECHNIQUES USED IN ANOMALY BASED IDS

- The fundamental idea of intrusion detection system is to identify the attacks against information present in the system. Misuse based and anomaly based detection system are the categories of intrusion detection system. This paper introduces the intrusion detection system and its types. It analysis about the anomaly based system and its applications in various fields. This review contribute a better perception about the data mining techniques in anomaly detection system.
Virulence and pathogenicity of Colletotrichum sublineolum and Colletotrichum gloeosporioides from leaf, stem panicle tissues on advanced sorghum genotypes and genetic basis of observed responses

Colletotrichum species are among the destructive fungal pathogens of sorghum in Lake in Kenya. It is not clear whether all pathogenic species and sub-species infecting the three plant parts differ in their virulence and pathogenicity. Previous studies indicated that phosphorous efficient and Striga resistant genotypes were resistant to anthracnose while those resistant and/or susceptible to drought, aluminium toxicity and midge insect pest had mixed reactions. Sixteen genetically stable genotypes and four checks were randomized as sub-plots in plastic tubes in a split-plot arrangement under completely randomized design replicated twice in screenhouse. Morphologically identified leaf, stem and panicle isolates were randomized as whole plots. Inter-simple sequence repeat (ISSR) primer was used in genetic diversity assessment between Striga and phosphorous groups. Virulence and pathogenicity data were analyzed on Genstat version 12.2 while genetic diversity was assessed on NTSYS-pc version 2.1. Striga resistant and P-use-efficient genotypes were resistant to all isolates while the aluminium, drought and midge groups had mixed responses. Striga and P-use-efficient genotypes were genetically similar but differed from Striga susceptible and P-use-inefficient genotypes. Leaf isolates were less virulent than stem and panicle. Therefore, the level of virulence and pathogenicity of Colletotrichum species is influenced by hosts and pathogens genetic make-up.
Antimicrobial Activities of Soap and Detergents

In the present study five bacterial strains were used to study the antibacterial activity of soap and detergent by disc method and turbidity method. It was found that Staphylococcus aureus was good bactericidal as it unable to grow in any of the detergent concentration and other species showed varied level of minimum inhibition concentration. It is possible that antibacterial soaps and detergents have the antibacterial agents that can either kill or inhibit the bacterial cells. It might be possible that some bacterial strains become resistant which leads to their survival even at high concentrations of soaps. The resistant bacterium against soap in the present study was Pseudomonas aeroginosa.
Raspberry-Pi Based Hand Glove

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Research in the field of Human Computer Interaction (HCI) has been spectacularly successful and has fundamentally changed computing. In the proposed system, a real time computer vision based interaction prototype is designed where hand gestures are used to control the movement of a mouse pointer using colour markers. This paper aims at providing a unique approach for a more reliable interaction between the user and the system. To avoid the limitations of personal computer, an embedded system consisting of Raspberry-pi with Linux based operating system is used. This approach uses the concepts of image processing like colour detection, background subtraction and bounding box technique .
HUMAN-MACHINE INTERFACE OF ELECTROOCULOGRAM BASED SYSTEM FOR MOBILITY USING ASSISTIVE ROBOTICS

The following empirical research undertakes the implementation of the signals obtained via an Electrooculography (EOG) into the design for a simple, effective and low-cost microcontroller system. The process was extended research, to demonstrate and allow an incapacitated individual to control eight individual devices, by collecting and evaluating the myoelectric signals rendered by the eye muscles during various movements of the eye.
Development and Validation of HPLC Method for Quantification of Phytoconstituents in Haritaki Churna

A high performance liquid chromatography method coupled with diode array detection was developed to simultaneously determine seven different marker compounds in Haritaki churna, an ayurvedic formulation. These markers are gallic acid (1), methyl gallate (2), ethyl gallate (3), ellagic acid (4), chebulagic acid (5), chebulinic acid (6) penta-O-galloyl-β-D-glucose (7). HPLC analysis was carried out at wavelength 272nm. The developed method was able to determine the marker compounds with excellent resolution, precision and recovery. The chromatographic separation was performed on Thermo Scientific BDS HYPERSIL Phenyl reversed-phase column (100mm×4.6mm, 3μm). The mobile phase was consisted of 0.02% triethyl amine aqueous pH 3.0 with ortho-phosphoric acid (A) and acetonitrile (B) at a flow rate of 1.0 ml/min gradient mode. Regression equations showed good linear relationships (R > 0.998) between the peak area of each marker and concentration. The assay was reproducible with overall intraand inter-day variation of less than 3.4%. The recoveries, measured at three concentration levels, varied from 97.8% to 101.1%. The method was applied to determine the amounts of the marker compounds in three different commercial market samples, and significant variations in phytoconstituents were observed.
Comparative Analysis of VLSI circuits using multigate devices.

Abstrac t - The enhancement in the scaling technology has increased the need of low power based circuits. In nanometer regime, CMOS based circuit may not be used due to problem in its fundamental material, short channel effect and high leakage. There is need of better technologies for handling the various consequences of MOSFET technology. FinFET technology presents an alternative to classical MOSFET to achieve low power applications. Today the need to design logic circuits with low power, small area and lower power dissipation with high reliability is increasing. All the logic circuits like Inverter and NAND2 gate in this paper are designed and simulated using HSPICE by Synopsis. This paper presents comparative analysis of MOSFET and FinFET based logic circuits using 32nm technology . It is found that amongst all the designs FinFET based circuits are more suitable for low power applications in nanometer regime. The power dissipation is also found to be 0. 247µW for inverter and
Various Techniques Used For English Language Speech Recognition: A Review

Abstrac: The Recognition of speech is a process, which can be defined as understanding of human speech, processing it into a machine-readable format and utilizing it for real time applications. English (the international language), comprises of the largest vocabulary among the languages, and is mostly used for giving commands and for speech recognition in various areas. This paper descirbes a review of varoius techniques that can be used for Speech Recognition at Feature Extraction and Classification level. Index Terms : Speech Recognition, Linear Predictive analysis (LPC), Linear Predictive Cepstral Coefficients (LPCC), Perceptual Linear Predictive Coefficients (PLP), Mel Scale Cepstral Analysis (MEL), Power Spectral Analysis (FFT), Relative Spectra (RASTA) Filtering of log domain coefficients, Mel-Frequency Cepstral Coefficients (MFCC), Dynamic Time Warping (DTW), Hidden Markov Model (HMM), Vector Quantization (VQ), Artificial Neural Networks (ANN).