Miracle-dz/UniFAR-FTUs huggingface dataset:
Processing ECoG Brain Signals to Predict the Movement of the Fingers using the Adaptive Neuro-Fuzzy Inference Systems

Introduction and Objectives: The human brain has always been regarded as a complex system, and various scholars pay attention it from different aspects. Neuroscientists are seeking to discover the mechanisms of the nerves and find a model that can be used to explain the structure and function, such as perception and emotions related to the nervous system. Therefore, the present study was conducted with the aim of processing ECoG brain signals in order to predict fingers movement using adaptive neuro-fuzzy inference systems. Materials and methods: The data used in this study consisted of the fourth data collection of the series BCI2008 tournament. In the case of using neuro-fuzzy inference system average classification accuracy of moving first, second, third, fourth and fifth fingers 89.8% obtained. In this process, because it requires signal percent to higher noise, the ECoG brain signals have been used. So, classification of brain signals at a frequency of 100-200 Hz and the characteristics of DCT, and using classification of networks of adaptive neuro fuzzy inference system were obtained. Results: in the implementation, the best results was for classification of brain signals at a frequency of 100-200 Hz and the characteristics of DCT, and using classification of networks of adaptive neuro-fuzzy inference system were obtained. Conclusion: as a result of improving the classification, a combination of genetic and fuzzy algorithms and PSO to improve the fuzzy model parameters used.
Performance Enhancement Of Complex Digital Circuit usingDynamic CMOS Logic

The performance of any logic circuit is measured in terms of area, delay and the power consumption of the circuit.The Power Delay Product is used as a unit to define the performance of the circuit. Static logic proves to be beneficial for simple and low fan in circuits on the other hand as the circuit complexity increases and the fan in is increased, static circuit power delay product increases compared to dynamic logic. The dynamic logic proves to be beneficial for high fan in and complex circuit as compared to static version. The integrated circuit designer has to make a choice for designing after considering these parameters in order to optimize the design. This paper presents a comparative study and analysis of thedynamic logicusing different technology files.
Active Image Authentication System (AIAS): Design, Implementation and Analysis

Providing a security to the information system is the necessity of today’s networking age. Authentication is one of the important principal of security. Provision of the unique combination of username and password is the common way to authenticate the system. A graphical based authentication mechanism had provided a strong alternative for knowledge based, biometric and token based authentication mechanism. In this paper we have proposed new graphical based authentication mechanism. This Active Image Authentication System (AIAS) provides a strong solution on guessing attack using random positioning of Active Points (AP) with respect to time domain.
An Adaptive Log Based Realtime Network Scans in LAN

: Network scans really are a common initial step within a network intrusion attempt. As a way to gain details about a possible network intrusion, it can be beneficial to analyze these network scans. Scanning activity is naturally a common activity over the internet today, representing malicious activity such as information gathering by the motivated adversary or automated tool on the lookout for vulnerable hosts (e.g., worms). Many scan detection techniques have been developed; however, their focus has been on smaller networks where packet-level information is available, or where internal characteristics of this very network have been observed. Existing approaches use scan detection technique as a way to identify of packet-level data between host pairs, and activities are identified by grouping sessions based on patterns inside the kinds of session, the IP addresses, plus the ports. For serious networks, which can include those of ISPs, large corporations or government organizations, people's information might not be available. Existing model offers a model of scans which can be used given only unidirectional flow data. Novel classification of scan detection methods based upon their network policy, since attackers usually takes benefit for such policies to evade detection. The intention of the proposed program is to analyze sample network traces to discover and classify properties of port scans using robust Probabilistic technique. Finally scan detection accuracy can possibly be analyzed by employing logistic regression approach that is used to model the post that informs a user if a scan is present. Experimental results will provides insight into Internet traffic by classifying known activities, giving visibility to threats to the network through scan detection, which correspondingly extending understanding of the activities occurring on the network.
New Metric for Quality Analysis of Deblocked Images

— The advanced quality assessment of Deblocked images is done in this new metric way. Also we study the efficiency of de-blocking algorithms for improving visual signals degraded by blocking artifacts from JPEG compression. Rather than using the existing PSNR metric, we instead propose a new block-sensitive index metric, named as PSNR-B, this metric produces objective judgments that accord with observations. The PSNR-B metric modi ﬁes PSNR by including a blocking effect factor (BEF). Also we study about Structural Similarity Metric (SSIM). The Simulation results shows the new metric PSNR-B results in better performance for quality assessment of Deblocked images than PSNR metric.
A New Cluster Based Broadcast Protocol for Delay Tolerant Mobile Networks

in Abstract— Broadcast makes sensor nodes to evenly distribute messages to the whole network serving higher level operations. Some nodes switch between active and inactive states in Wireless Sensor Networks (WSNs) to reduce the energy consumption and to increase life of network. Broadcast in Low Duty-Cycle Wireless Sensor Networks is a major problem to be addressed. In this paper, the broadcast problem is revisited with active/inactive states. Efficient and scalable distributed implementation for broadcast problem is considered. Similarly Delay-Tolerant Mobile Networks (DTMNs) are considered. In DTMNs, there is lack of continuous end to end connectivity among nodes. A cluster-based broadcast protocol for DTMNs is proposed. Clusters are formed based the contact probability of nodes. An exponentially weighted moving average (EWMA) scheme is employed here for on-line updating nodal contact probability. The simulation results show that proposed protocol achieves higher delivery ratio and significantly lower overhead and end-to-end delay compared to WSNs.
A compact model for depletion MOSFETs in smart power applications including source and drain resistance

This paper presents a compact depletion MOSFET model applicable in smart power circuit simulations. For the first time, a complete description of all internal states and the stored charge in both on-state and subthreshold region of a DMOSFET including source and drain resistance is derived. The equation set consists of explicit expressions and requires 25 parameters only.
A Review of Threshold Based Clustering Technique on Different Optimization Function

-- Threshold based clustering technique is new generation of clustering technique. The threshold based clustering technique gives the principle of optimal cluster generation process. The optimal cluster generation process gives the feasible number of cluster during the generation of clustering technique. The concept of optimal clustering technique is a new area of pattern generation and analysis process. In this paper present the review of threshold based clustering technique used in different clustering domain such as hard clustering, soft clustering, hierarchical clustering and mountain clustering technique. For the selection of threshold function used various heuristic and meta-heuristic functions along with neural network. The family of heuristic function gives the verity of optimization algorithm. The neural network based threshold selection process gives optimization as well as error minimization during the cluster generation.
Personal Authentication Using Palm-Print Features – A SURVEY

: Palmprint recognition has been in the focus of biometric research over the last ten years . Identifying a person or authenticating a person has been most vital process and mandatory in several real time applications for security reasons. For example logging into a computer system, accessing an ATM machine, entering a room, etc. Are some of the real time applications require authentication of people. Simple and cost effective authentication systems are working based on password, pin number, etc. For authenticating people. Significant places or critical applications require biometric authentication where the authentication failure rate is very less and easy to use. Also, forging the biometric system is highly complicated. Palmprint is one of the biometric used in authenticating people. Palmprint recognition has been studied more then fifteen years. There are several palmprint authentication systems have been developed by various scientists.
EFFECT OF ALPHA IRRADIATION ON SILICON SCHOTTKY DIODE DETECTOR

This paper gives a brief overview of Semiconductor Schottky diode detector in response to α-particle irradiation. As α-particle are difficult to detect so we need a high resolution device for its detection. In this paper we have simulated a model of Si Schottky diode detector in Sentaurus TCAD Software. TCAD (Technology Computer Aided Design) simulation is a boon for the semiconductor devices. Using this tool we can simulate and design semiconductor devices and can generate simulation model to get the best optimum simulation results for semiconductor diode. Sentaurus TCAD supports wide range of semiconductor technologies from conventional to compound semiconductor detector. α-particles induced transient current pulse measurement were carried out on Si Schottky diode at (1) different temperature, (2) different energies of the incident α-particle and (3) different reverse bias of Schottky diode. Effect of temperature, incident α-particle and reverse bias on the generated αinduced transient current pulse were analyzed.
Two clouds secure database for numerically related SQL range queries with privacy preservation

In the present scenario, businesses and people are outsourcing database to minimize their effort and to obtain a low cost service. In order to provide the sufficient functionality for SQL queries, many secure database schemes have been proposed. However, such schemes are vulnerable to privacy leakage to cloud server. For numerical range inquiry (>, <, and so forth.) these neglect to give adequate security insurance. A portion of the difficulties faced are privacy leakage of statistical attributes, access patterns and so on. Likewise increased number of queries will release more information to the cloud server. We have studied some of these research works and analyzed the best possible ways to come to the desired level of privacy preservation in the case of cloud computing. We have proposed a two-cloud architecture for secure database, with a series of intersection protocols that provide privacy preservation to various numeric-related range queries. Security analysis shows that privacy of numerical information is strongly protected against cloud providers in our proposed scheme.
ENERGY EFFICIENT D2D COMMUNICATION IN 5G NETWORK

There is a need to increase the capacity of thenetwork for meetinggrowing demands.To support a large number of connected devices the next generation heterogeneous network will need to support higher data rates and higher throughput. The available resources are limited and to support the demand of next generation networks, device-to-device (D2D) communication is the upcoming solution. D2D communication is expected to enhance the energy efficiency and spectrum efficiency of the next generation network. This paper presents a survey on the features and challenges of D2D communication with a focus on improved Energy Efficiency due to the use of D2D which will be a prime part of the next generation networks
A STUDY ON RUMINATION AND RESTING BEHAVIOUR OF OSMANABADI KIDS HOUSED IN KATCHA HOUSING SYSTEM UNDER DIFFERENT FLOOR SPACE

The aim of this study was to evaluate the effect of different floor space on rumination and resting behaviour of Osmanabadi kids. Eighteen Osmanabadi castrated kids with an initial average body weight (BW) of 6.80 kg at 3-4 months old age (after weaning) were used in this experiment. There were three different floor space provision of 0.8, 0.7 and 0.6m in three experimental groups (T0, T1 and T3 respectively) with the same managemental conditions. The behaviours were observed using continuous focal sampling method and measured as minutes/4hr/week. The results indicated that the lying period under the category of resting behaviour and rumination duration were significantly (P<0.05) higher with increasing floor space, In conclusion, floor space provision as managerial practice in goats has effects on resting and rumination behaviour, where more floor space is favourable to the goats.
THD Minimization on the Line-to-Line Voltage of Multilevel Inverters

In this paper, minimization of the total harmonics (THD) present in the output voltage of multilevel inverters is discussed . In order to reduce the harmonic contents of the inverter's output voltage the best approach is THD minimization. In multilevel inverters, if fundamental frequency switching strategy is considered,(each switch turning on and off once per output cycle), the switching angles can be selected so that the output THD is minimized. To obtain the optimum switching angles, an optimization algorithm is applied to the outputvoltage THD. In the case of three-phase multilevel inverters, the optimization algorithm is generally applied to the phase voltage of the inverter. This results in the minimum THD in phase voltage but not necessarily in the line-to-line minimum THD. In three-phase applications, the line-voltage harmonics are of the main concern from the load point of view. In this paper, using the genetic algorithm and sinusoidal PWM technique, a THD minimization process is applied to the line-to-line voltage of the inverter. This paper is based on a comparison between seven level cascaded and nine level diode clamped multilevel inverter.
Streptococcus agalactiae Toxic Shock Syndrome: New Agent, New Challenges A Case Report and Literature Review

Abstract Toxic shock syndrome is a rare life-threatening disease. The raising of new etiologic agent identification and antimicrobial therapy resistance poses new questions. We report a rare case of Streptococcus agalactiae toxic shock–like syndrome and a literature review focusing on the presentation, current therapeutic challenges, and future approaches.
Selection of Exclusion Groundwater Control System using Analytic Hierarchy Process in Construction Projects

Choosing the most appropriate groundwater control system in construction projects greatly affects the project cost and the overall project duration. The selection process depends mostly on experience and requires groundwater flow modeling to reach the most suitable system. There are two principle methods for dealing with groundwater control which are exclusion method and dewatering method[1]. This paper is concerned with the exclusion method for controlling the groundwater. Therefore, the paper presents a decision support system (DSS) for the selection of exclusion groundwater control system for construction projects. The DSS aims to assist the construction project planner or quantity surveyor to select the most appropriate exclusion groundwater control system. Analytic hierarchy process (AHP) is used for applying objective measurements to the identified four main parameters affecting the selection of the most appropriate exclusion system. The DSS knowledge base concerning the exclusion groundwater control systems and the affecting parameters is obtained from the literature and various human experts. The developed system results were tested and evaluated by experts.
Cities, Identities and Memories – An analysis of Padmatheertham

Identity of a place is subjective; it is rooted in the multiple narratives of the people and their associations. An essential component in evoking a sense of belonging to a place, identity is a product of several tangible and intangible elements. The image and memories play an important role in defining the identity of a place. A place is said to exist both as a physical being and a series of mental image (a resultant of peoples’ collective memory). The study analyses the relation between memories and places in the formation of identity. The image of a place is a two-way interaction between space and observer, resulting in a heterogeneous palette that is temporal and dynamic. The resultant variations influence the continuity of collective memory difficult for the deterministic approaches to capture. Isolation of people from the city’s design processes lead to alienation and loss of identity. The exercise undertaken explores the collective memory of Padmatheertham pond in Trivandrum and its future potentials in redefining the identity of the city. Padmatheertham, is a 13th C temple pond situated in the heritage precinct of the Padmanabhaswamy temple. An iconic structure, it lay witness to the developments in and around the fort area of Trivandrum city. Once buzzling with people and activities, the pond today is shut to the public, only visible to the eyes of a tourist camera. Through a case of Padmatheertham, the paper argues that it is possible to further city’s identity only through peoples’ participation in the place making processes.
The Enhancement of De-linearizing in Image Fidelity

- De-linearization is the process of increasing or decreasing the intensity values of RGB image. The main objective of this paper is to analyze the quality of the paints in manufacturing industries using software automation. In this paper, simulation tool using MATLAB is presented for analysis of quality of the paints. A Modified Simple Resistivity Technique (MSR) and its architecture with spatial filtering are applicable for all images are proposed. The simulation results show an effective quality analysis when compared with previous techniques.
Microsoft Word-663b-ajas

To investigate the serviceability conditions of High Strength Concrete (HSC) beams, the total number of 6 beams (L = 2 m, b = 0.2 m, h = 0.3 m) heavily reinforced with different ratios of ρ and ρ′ were cast and tested under bending load. During the test the concrete and steel strains, deflection and crack width are measured at different beam locations. Based on these experimental readings, the bending rigidities (EI) of HSC beams are defined and the results are compared with the different available theoretical methods.
Faults Prediction for Component Based Software using Interrelated Feed Forward Neural Networks

The software reliability generally depends upon the rate of failures, or the number of faults occurred in mean execution time and the numbers of faults are expected to occur during the course of execution of software. There are various models have been proposed to predict the expected number of faults for various types of software structure. In this paper we are predicting the number of expected faults occurred in each component of software as well as for the whole software in the expected execution time interval using component based neural network architecture. The simulation design and implementation results are suggesting there may be more number of predicted faults in components than the number of predicted faults in the complete software.
Dietary factors are affecting on endogenous amino acid losses (EAAL) in broiler chickens-A Review

Feed and diet formulation directly influence on endogenous amino acid flow and its losses in poultry. The dietary ingredients are increase total flow of endogenous secretions in birds, then the internal secretions decreases amino acid digestibility. There are various factors affecting on endogenous amino acid losses (EAAL) in broiler chickens directly, but especially in dietary supplementation the protein sources highly affects on total endogenous amino acid flow. Feed ingredients containing protein sources with various concentrations of amino acids (AA), dietary fibers, Phytate Phytic and marker which use for as indicator are may increase and decrease the endogenous secretion. Intestinal physiology including mucin formation is responsible for maintaining internal secretion to control endogenous amino acids flow and its production. The intestinal gut performance directly proportional to the total flow of EAA in distal of ileum. The age of bird with different dietary supplementation of feed ingredients are also effects on total endogenous amino acid flow. This review explain briefly all dietary factors are affecting on EAAL in broiler chickens, and the evaluation of apparent, true and standardized digestibilities. The measurement and accurate estimation of endogenous secretions in mono gastric animals are still finding with various methods and techniques, but it cannot deny that the factors are directly and indirectly affecting on endogenous secretion. It desires to identify all factors which are influencing on EAAL in poultry.
Survey on perceptual beat evaluation using GMM regression in Data Mining

This paper used in estimation algorithm, for two essential data mining task. i.e classification&regression. it learning to occur the difficult error as octave error,the whole learning process is estimation of perceptual tempo.where the data labels are respect to the propagation on similarity graph constructed based on the feature representation. This paper experiment consider lastFM in 2011.the frame work of 3 musical attributes: (i) the variation of energy,(ii) of harmonic changes,(iii) of spectral balance and short-term-event-repetitions.GMM regression outperforms of attributes provided by state-of-art tempo estimation algorithm. Regression outperforms largely SVM-Regression. Using both,SVM&GMM regression.
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In this project, a new decentralized access control scheme for secure data storage in clouds is proposed , that support anonymous authentication. In this scheme the cloud verifies the authenticity of the server without knowing the user’s identity before storing data. This scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. The added feature of this project is access control, in which only valid users are able to decrypt the stored information. This project prevents replay attacks and supports creation, modification and reading data stored in cloud. In this scheme asymmetric key concept is used for encryption and decryption, so the security is high compared to the other project. Here the attributes and access policy of the users are hidden, so the security is high. In this project authentication scheme is collusion secure and protects privacy of the user. Moreover our authentication and access control scheme is decentralized and robust.