Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey on String Similarity Joins

-In case of the databases containing large number of data values in the form of strings, string similarity join operation plays an important role. Similarity join is used in data integration and data cleansing to find similar string pairs from two sets of strings. If the database contains very large number of rows, then such a comparison becomes extremely expensive. There are various algorithms to perform similarity join on strings
Enhanced DV Cast Protocol for Data Dissemination in Urban Traffic

-This paper attempts to give the solution for the urban scenario using DV cast protocol. Normally DV cast protocol is the best solution for highway traffic. But this paper proposed urban dv cast (UDV) protocol to deal with the urban traffic. This UDV protocol is extension of DV cast protocol. Our aim is to address the urban scenario where vehicles are equipped with sensors or wireless devices to identify the hazards. Urban DV cast (UDV) protocol is used to disseminate data efficiently in urban traffic. It suppresses the Broadcast storm which is the main problem in data dissemination because of data collisions and contentions in dense network. Store-carry-forward method is efficiently carried data with the disconnected networks. Urban roads are different from that of highways. It has many entry points or intersections. This protocol highly works well in urban network.
A Vision for Using Digital Health Technologies to Empower Consumers and Transform the U.S. Health Care System

Digital technologies that serve as a communication bridge between providers and consumers have the potential to disrupt the U.S. health care system by enabling consumers to get care and support when and where they need it, while also making their needs and preferences known. This report describes early efforts to use digital technologies—ranging from remote monitoring devices and teleconferencing devices for virtual office visits to data mining tools—to redesign care models around the common needs of discrete patient populations. The approaches described, including those designed to increase patient engagement and close communication gaps, focus on the needs of patients with complex and costly medical and behavioral health conditions as these efforts may present the greatest opportunity for simultaneously improving care and reducing costs. Support for this research was provided by The Commonwealth Fund. The views presented here are those of the authors and not necessarily those of The Commonwealth Fund or its directors, officers, or staff. To learn more about new publications when they become available, visit the Fund’s website and register to receive email alerts. Commonwealth Fund pub. 1776.
Bacteriological Profile of Post Traumatic Osteomyelitis in a Tertiary Care Centre

Bacteria may infect the bone directly through open fractures, during bone surgery, or from contaminated objects that pierce the bone. Osteomyelitis may also occur where a piece of metal has been surgically attached to a bone, as is done to repair hip or other fractures. Osteomyelitis may also result from an infection in an adjacent soft tissue. The infection spreads to the bone after several International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 1 (2017) pp. 367-372 Journal homepage: http://www.ijcmas. com
PFC Zeta Converter Fed BLDC Motor Drive for Fan Applications

Abstract : A Zeta converter fed BLDC motor drive using a single voltage sensor is proposed for fan applications. A single phase supply followed by diode bridge rectifier and a Zeta converter is used to control the voltage fed to the VSI. Output of Zeta converter is controlled to achieve the speed control of BLDC motor. A sensorless control of BLDC motor is used to eliminate the requirement of position sensors. A MATLAB Simulation is used to simulate the developed model to achieve a wide range of speed control with high Power Factor and improved Power Quality at the supply.
On the Subjectivity and Intersubjectivity of Language

When uttering a sentence, the speaker not only objectively expresses the propositional content of the sentence, but also conveys his views, feelings and attitudes toward the sentence. The speaker’s imprint is inherent in language. However, due to the dominance of structural linguistics and formal linguistics for a long time, “the speaker’s factor” in language has not been given due attention. With the advent of “linguistic turn” in the 20th century, language has become one of the objects of philosophical research and the significance of “the speaker’s factor” in language has attracted a host of scholars from philosophy, ethics, psychology, linguistics and many other disciplines. This paper firstly explores the mostly-acknowledged definition of subjectivity of language put forward by pioneering linguists, then discusses different approaches to the subjectivity of language from pragmatics, Relevance Theory, cognitive linguistics and Systemic Functional Grammar. Based on the previous research, the paper further explicates the speaker’s subjectivity from three aspects, viz. the speaker’s perspective, the speaker’s affect, and the speaker’s epistemic status. Lastly, the paper probes into the definition and development of intersubjectivity of language and points out that “the speaker’s factor” in language has been and will definitely be a vital topic in the future linguistic research.
Identification of Hidden Traffic Pattern in Heuristic Approach for MANETS

— Anonymous Communication is the main issue in case of MANETs. It is difficult to find the source and destination of the communication link and the other nodes involved in it. Many techniques are proposed to enhance the anonymous communication in case of the mobile ad hoc networks (MANETs). In Existence, a novel statistical traffic pattern discovery system (STARS). The STARS aims to derive the source/destination probability distribution, i
Comparison of different magnet arrangement on performance of flux reversal permanent magnet (FRPM) machine

This paper offers the analysis of performance of Flux Reversal Permanent Magnet (FRPM) machines with different type of magnet arrangements. There are two designs that have been proposed in this report, which one of them has a pair of permanent magnets (PM) with alternate polarities place on surface of stator tooth and the polarities of two adjacent PM at these two stators are identical. This PM arrangement is called as NS-SN configuration. Second design is NS-NS configuration that has different PM polarities on different stator tooth. By comparing this PM arrangement, generally the NS-NS configuration offers high speed and power. However, the NS-SN configuration shows higher maximum torque compared to the previous design. The design process for both configurations is completely using finite element analysis (FEA) which is JMAG-Designer. To make sure the coil phase is in correct position, the design configuration with coil arrangement tests are evaluated. Finally, each flux of both designs been observed by analyse their torque with various armature current density.
Securing Biometric System using Multibiometrics

A biometric system is a pattern recognition system that makes a personal verification and identification by establishing the authenticity on the basis of a particular physiological or behavioral characteristic possessed by the user. Biometrics provides a better solution for increased security requirements and privacy protection than traditional recognition methods such as passwords and PINs. Biometric systems that use a single biometric trait to establish identity are unimodal biometric systems. Various limitations imposed by these biometric systems are noisy data, non-universality, intra-class variations, inter-class similarities and spoof attacks. These limitations can be addressed by deploying multimodal biometric systems that consolidate the evidence presented by multiple biometric sources of information. This paper discusses the various sources of biometric information that can be integrated, different levels of fusion that are possible, and factors affecting design issues.
The Primordial model for eliminating the malevolent secondary user from LTE based Cognitive Radio Network

--The radio spectrum is used for communication and most of this spectrum space is underutilized. Due to rapid increase in wireless communication FCC introduced a new technology called Cognitive Radio Networks (CRN), which uses IEEE 802.22 Standard. The unused spectrum spaces are reserved by the licensed Primary Users (PU) and they allow the unlicensed Secondary Users (SU) to access the spectrum resources when it is not used by PU. Some SU does not vacate the channel when the PU wants to access the spectrum which causes the Primary User Emulation Attack (PUEA). The proposed primordial model is applied in the LTE network. This novel approach can eliminate the malicious SU in a proactive way and provides high performance than the existing techniques.
A Review: Driver Drowsiness Detection System

Driver drowsiness is one of the major causes of traffic accidents. It is a serious highway safety problem. If drivers could be warned before they became too drowsy to drive safely, some of these crashes could be prevented. In order to reliably detect the drowsiness, it depends on the presentation of timely warnings of drowsiness. To date, the effectiveness of drowsiness detection methods has been limited by their failure to consider individual differences. Based on the type of data used, drowsiness detection can be conveniently separated into the two categories of intrusive and non-intrusive methods. During the survey, non-intrusive methods detect drowsiness by measuring driving behavior and sometimes eye features, through which camera based detection system is the best method and so are useful for real world driving situations. This paper presents the review of existed drowsiness detection techniques that will be used in this system like Circular Hough Transform, FCM, Lab Color Space etc.
An Augmented Reality Assisted Order Picking System using IoT

It is widely recognized that order picking is the most complicated and time-consuming task in warehouse operations and often termed as the major bottleneck in warehouse workflow. Over the years the process of order picking has been extensively studied and many methods have been proposed to deal with its challenges. However, most of these solutions involve complex and expensive components with elaborate setups. In this paper, we propose RASPICK a modular, robust and cost-efficient order picking system that is scalable and can be used in warehouses of all sizes. The proposed system aims to reduce the cognitive load on the picker by providing crucial and relevant information for each item on the picking list. For a baseline, the proposed system is also compared to manual paper-based picking and shows significant improvements in average trip-time for lists of different sizes. The system combines the convenience of Augmented Reality with the power of the Internet of things to facilitate central control and management of pickers and attempts to address the low-level order picking bottlenecks.
Single Phase Grid Connected Multilevel Inverter for Photovoltaic Energy Conversion System

Multilevel Inverters offer high power capability, associated with lower output harmonics and lower commutation losses. Their main disadvantage is their complexity, requiring a great number of power devices and passive components. This paper proposes a multilevel inverter topology using an H-bridge output stage with two diode embedded bidirectional switches. The new topology produces a significant reduction in the number of power devices and capacitors required to implement a multilevel output. The proposed seven level inverter topology requires only seven controlled switches, twelve diodes and three capacitors to produce seven levels of output voltage. The proposed system has been modeled and simulated using the semolina in the MATLAB.
Hemosiderin-laden Macrophages in the BAL Fluid of Patients with Diffuse Alveolar Damage

word count: 200) Quantification of hemosiderin-laden macrophages in the bronchoalveolar lavage fluid (BALF) has been used to diagnose diffuse alveolar hemorrhage (DAH) but has not been assessed in patients with diffuse alveolar damage (DAD). The current study analyzed BALF obtained in 21 patients with DAD diagnosed by surgical lung biopsy. The median age of 21 patients with DAD was 68 years (range, 18 to 79 years) and 14 (67%) were men; 12 patients (57%) were immunocompromised. The median percentage of hemosiderin-laden macrophages in the BALF was 5% (range, 0 to 90%), but was ≥20% in 7 patients (33%), fulfilling the commonly used BALF criterion for DAH. There was a trend toward a positive correlation between the percentage of hemosiderin-laden macrophages in the BALF and parenchymal hemorrhage assessed semiquantitatively on histopathologic analysis. Patients with ≥20% hemosiderin-laden macrophages in the BALF had a significantly increased mortality rate (p = 0.047) compared to those with <20%. In patients with an acute onset of diffuse lung infiltrates and respiratory distress, ≥20% hemosiderin-laden macrophages in the BALF can occur with DAD, and is not necessarily diagnostic of DAH. The finding of ≥20% hemosiderin-laden macrophages in the BALF is associated with a worse prognosis in patients with DAD.
Abnormality Extraction in Crowd

: Abnormal activity detection is complex method specially in crowd. For man force finding abnormality is risky and difficult work. Many existing techniques are used to detect abnormality in crowd but not work properly. To address these problems, in this paper, a various techniques are used. Super Vector Machine (SVM) for simplification, wavelet transform for feature extraction. VIDEO surveillance equipment has been used for security purpose.
IMPACT OF EXTERNAL FACTORS ON BANK PROFITABILITY

The study endeavors to shed light on the indicators of profitability for the banking system of Pakistan by taking into consideration Bank-Specific and Macroeconomic Factors. This study reveals an efficient image of the profitability on banking sector of Pakistan for the period 2003-2013. The effect of macroeconomic variables like: Market Concentration, Interest Rate, Real Gdp Growth Rate, Bank Expense and Bank Fixed Asset on Bank profitability (ROA) in Pakistan.The methodologies used are Descriptive, Correlationand Multiple Regression Analysis. The regression was performed in order to predict the ROA and five independent variables were selected. Out of these five independent variables (predictors), four appeared significant as indicated by the probability values. The most significant predicator for ROA highlighted by our regression results is IR (t-statistics 3.34, p=0.001) followed by C (t-statistics 3.34, p=0.003). However, when the regression coefficient was compared for these significant variables, a contrasting difference was observed. These results are helpful for policy makers, Government and foreign investors.
AN ENHANCED TECHNIQUE FOR NETWORK TRAFFIC CLASSIFICATION WITH UNKNOWN FLOW DETECTION

- — In a wireless network it is very important to provide the network security and quality of service. To achieve these parameters there must be proper traffic classification in the wireless network. There are many algorithms used such as port number, deep packet inspection as the earlier method, KISS, nearest cluster based classifier (NCC), SVM method are used to classify the traffic and improve the network security and quality of service of a network. In this work, we aim to tackle the problem of unknown flows in a WSN. This work considers very few labeled training samples and investigates flow correlation in real world network environment, which makes it better to the previous work.
Organizational Engine for Launching Disruptive Innovation Project: Case Studies of Company A

Nowadays, because of energy crisis, attention has grown for solutions to reduce dependence on fossil fuels. Companies started developing electric vehicles and sought to disrupt the market. Company A, as a new entrant, successfully developed a disruptive innovation of the world’s first high-performance, zero emissions, and two-wheeled electric scooter in 2015. Therefore, this study aims to explore the organizational engine for launching disruptive innovation project in traditional motorcycle industry by case study of company A. Following qualitative research method, this study concludes three main findings. First, a leader with heterogeneous background was important to propose a disruptive product concept, set a pioneer product strategy, and establish organizational culture supporting creativity. Second, challenging and ideal product concept could just be the stimulation for initiating dynamic product development process under the creativity-motivated culture. Finally, to support disruptive innovation, management team could take a more flexible and constructive attitude towards cost control issue.
REAL-TIME SCHEDULING OF SOFT PERIODIC TASKS ON MULTIPROCESSOR SYSTEMS: A FUZZY MODEL

-Many scheduling algorithms have been studied to assure the time constraints of real-time processes. Scheduling decision of these algorithms is usually based on parameters which are assumed to be crisp. However, in many circumstances the values of these parameters are vague. The vagueness of parameters suggests that we make use of fuzzy logic to decide in what order the requests should be executed to better utilize the system and as a result reduce the chance of a request being missed. Our main contribution is proposing a fuzzy approach to multiprocessor real-time scheduling in which the scheduling parameters are treated as fuzzy variables. A simulation is also performed and the results are judged against each other. It is concluded that the proposed fuzzy approach is very promising and it has the potential to be considered for future research.
Review of Current Trends in Implantable Textile Materials

With the advent of effective thoracic stent graft device application, thoracic endovascular aortic repair (TEVAR) technology for thoracic dissection and aneurysm treatment has witnessed fast development [1]. In comparison with open surgery, short and midterm clinical trials appear prospective [2]. But, all long-term results have not been completely fulfilled [3,4]. Hence, more work is required in order to decrease incidences of long-term complications. One of the major developments in vascular surgery during recent years is the endovascular therapy for thoracic aortic aneurysms, thoraco abdominal aortic aneurysm and abdominal aortic aneurysm [5,6]. The practicability of the procedure has been demonstrated and across the world, this technique has now developed in an increasing number. Though 50% of patients undergo endovascular procedures, the real impact on mortality and morbidity is still uncertain [7,8].
Efficient Switching Activity Reduction Technique for Fault Tolerant Data Bus

In Deep-submicron (DSM) systems, the crosstalk effect on onchip data buses and interconnects dictates the overall performance and reliability of the highly integrated systems. In many digital processors and SoC the reliable transfer of the information over the data bus is crucial for the proper operation of a particular system. Hence ECC techniques are used on data buses for reliable transfer of the information. Employing the ECC on data buses eventually increases the switching activity that affects the power consumption and delay of the system. Reducing the power dissipation of the VLSI chip is one of the major challenges in the DSM technology. One of the best techniques to reduce the transitions is to use encode and decoder along with the ECC on the data bus. Hence an efficient switching activity reduction technique is proposed for fault tolerant data bus which can reduce the overall transitions. The proposed encoding technique reduces the switching activity by 18% to 22.5%. Its efficiency is 8% to 15% more compare to others encoding techniques. General Terms VLSI, Data bus, Reliable, transitions.
A comparative study on cardiovascular parameters in Normal & Type 2 Diabetes mellitus patients

Diabetes is a long term disease with variable clinical manifestations and progression. Diabetic patients, if undiagnosed or inadequately treated, develop multiple chronic complications leading to irreversible disability and death. The present study was conducted at Osmania Medical College, Hyderabad during the year 2014–2015. The study was carried out in 50 Type-2 diabetic patients in the age group of 40–70 years with duration of diabetes ranging from 6 months to 20 years. Control Group consists of 50 normal individuals who matched with diabetes in age, sex and socio economic condition as far as possible. Mean heart rate and arterial pressure was higher among diabetics compared with normal people but it was statistically not significant (p>0.05). In 50 Diabetic patients, the mean P-R interval is 0.136 with standard deviation of 0.124 which is shorter than normal people and the mean Q-T interval of Diabetic patients was found to be 0.4053 with standard deviation of 0.0228 which is prolonged, both of the ECG changes were statistically significant (p<0.05). In diabetic patients, there is increased need for regular health checkups especially of the cardiovascular system to prevent complications.
AN ELECTRIC BRAKING SYSTEM CONTROLLER FOR BRUSHLESS DC MOTOR IN ELECTRIC VEHICLE APPLICATION

In the world today, cities are getting more crowded with private mobilities and growing number of passenger vehicles because of which pollution index of cities is continuously increasing. Cities pollution levels are reaching to alarming rate giving rise to global warming. This can be avoided with the use of Electric Vehicle as it is pollution free and noiseless solution giving a same performance as like conventional gasoline powered vehicles. Nowadays electric vehicles are gradually coming on the roads in which a safety is very important parameter. The safety of passengers and driver is dependent on a braking operation. In this paper, brushless dc motor is used for motoring electric vehicle. This motor has various advantages like, high torque to weight ratio, constant torque and wide speed range. The designed controller model takes care of safety by intelligently sensing the speed and driver’s requirement about braking through the brake pedal. The results of the proposed method are obtained and verified in MATLAB/ Simulink.
Medical Image Retrieval using Structural Similarity Index with Particle Swarm Optimization

— The hospitals have the analytical and exploratory imaging services which produce a huge quantity of imaging data. As a result, the medical images are produced in huge amount. Hence, the creation of the successful medical image retrieval system is needed for searching these huge datasets. Accordingly, this paper introduces the medical image retrieval system named as OSSIM for retrieving the similar images from the Medical Image Database. Initially, the medical image database is constructed with medical images of different patients and the treatment details of the every patient. If the new patient comes for treatment, then the doctor collects the medical images from that patient and sends the query image to the medical diagnosis system. At the medical diagnosis system, the input query image is matched with the images presented in the medical image database and the similar images are retrieved by the SSIM. Then, the medical image optimally matches to the query image is extracted by the PSO algorithm. The experimentation is conducted in datasets, such as brain, retinal, and lung. The performance of the proposed method is analyzed with the existing methods, such as LMeP and LBP for the evaluation metrics accuracy and F-Measure. From the analysis, it can be shown that the proposed method attains the maximum accuracy of 95 % and maximum F-Measure of 94%.