Miracle-dz/UniFAR-FTUs huggingface dataset:
Maxson: Reduce Duplicate Parsing Overhead on Raw Data

JSON is a very popular data format in many applications in Web and enterprise. Recently, many data analytical systems support the loading and querying JSON data. However, JSON parsing can be costly, which dominates the execution time of querying JSON data. Many previous studies focus on building efficient parsers to reduce this parsing cost, and little work has been done on how to reduce the occurrences of parsing. In this paper, we start with a study with a real production workload in Alibaba, which consists of over 3 million queries on JSON. Our study reveals significant temporal and spatial correlations among those queries, which result in massive redundant parsing operations among queries. Instead of repetitively parsing the JSON data, we propose to develop a cache system named Maxson for caching the JSON query results (the values evaluated from JSONPath) for reuse. Specifically, we develop effective machine learning-based predictor with combining LSTM (long shortterm memory) and CRF (conditional random field) to determine the JSONPaths to cache given the space budget. We have implemented Maxson on top of SparkSQL. We experimentally evaluate Maxson and show that 1) Maxson is able to eliminate the most of duplicate JSON parsing overhead, 2) Maxson improves end-to-end workload performance by 1.5–6.5×.
A SURVEY OF MRI ENHANCEMENT TECHNIQUES

: Enhancement of medical Images is a requisite for increasing the accurancy of computer aided diagnosis in radiology. The Research issue in medical image enhancement is to enhance the visual appearance without compromising with the intrinsic image features as they are crucial for diagnosis.This paper presents a short overview of different image enhancement techniques.The impact of different techniques for T1 C+ MRI brain ring enhancing lesions are evaluated based on Peak Signal to Noise Ratio. IndexTerms - Medical image enhancement, Histogram Equalization, Bilateral filter, Wiener filter, Homomorphic filtering
Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-D Cameras

We present a two-stage approach to first constructing 3D panoramas and then stitching them for noise-resilient reconstruction of large-scale indoor scenes. Our approach requires multiple unsynchronized RGB-D cameras, mounted on a robot platform, which can perform in-place rotations at different locations in a scene. Such cameras rotate on a common (but unknown) axis, which provides a novel perspective for coping with unsynchronized cameras, without requiring sufficient overlap of their Field-of-View (FoV). Based on this key observation, we propose novel algorithms to track these cameras simultaneously. Furthermore, during the integration of raw frames onto an equirectangular panorama, we derive uncertainty estimates from multiple measurements assigned to the same pixels. This enables us to appropriately model the sensing noise and consider its influence, so as to achieve better noise resilience, and improve the geometric quality of each panorama and the accuracy of global inter-panorama registration. We evaluate and demonstrate the performance of our proposed method for enhancing the geometric quality of scene reconstruction from both real-world and synthetic scans.
Do semantic features capture a syntactic classification of compounds? Insights from compositional distributional semantics

Classifying compound words has been the ultimate goal of much research in formal linguistics. A popular, cross-linguistically applicable classification (Bisetto & Scalise 2005) distinguishes three main types of compounds, namely Subordinate, Attributive, and Coordinate on the basis of the underlying syntactic relation between the compound elements. Similar tripartitions have also been proposed in cognitive psychology byworks exploring conceptual combination. Focusing on the type of semantic interpretation assigned to novel combinations, three main classes have been traditionally described, namely Relation-linking, Property-mapping, and Hybrid or Conjunctive (see Wisniewski 1996). Based on these commonalities, we conjecture that syntax-based compound types might also be explained by means of the semantic properties of the compound and its constituents. Using a compositional model of distributional semantics (cDSM), we show that (a) the contribution of each constituent in determining the meaning of the compound and (b) the semantic similarity between the two constituent words are significant predictors of these classes. These findings suggest that the various compound types identified by syntactic criteria can also be predicted by means of semantic features. On the one hand, this confirms the validity of the proposed linguistic categorization. On the other hand, we bring further evidence proving the effectiveness of cDSMs in describing linguistic phenomena.
Hyperpigmented lesions of skin and oral mucosa: a clinical and histopathological correlation

Background : Pigmented lesions are stigmatic as they will catch the attention of the patient and the clinician likewise. Pigmented lesions can either present as hyperpigmented or hypopigmented lesions and they can also be either melanocytic or nonmelanocytic in origin. Hyperpigmented lesions are one of the most common presentations in a dermatology outpatient clinic. India, being a tropical country, exposure to sunlight and likewise UV radiation may result in development of hyperpigmented lesions. Hyperpigmented lesions can be classified as inflammatory, hamartomatous, benign and malignant. With the increasing age the risk for development of malignant lesions like malignant melanoma and basal cell carcinoma increases, where the presentation is usually as a hyperpigmented lesion over the exposed areas. Though hyperpigmented lesions can be identified and classified clinically by a dermatologist, histopathological evaluation is of utmost importance not only for confirming and classifying but for further evaluation of these lesions along with their treatment and clinical outcome.
Intelligent Image segmentation for OCR using contour

: Image Processing is the most intriguing subject of research. This paper introduces the idea of adding a layer of segmentation over image to divide it into meaningful chunks before using Optical Character Recognition (OCR) to assist any type of text analysis on the unstructured text data generated after OCR. Usually, all the data from the image is extracted at once using OCR and after that numerous text mining techniques are used to find separate lines, paragraphs, etc. We will examine alternate techniques that will help to lessen the effort on various NLP, NLU and text mining, etc. techniques to extract meaningful data.
Housing Taxation, Financial Regulation and Welfare

This paper studies the effects on macroeconomic aggregates of permanent changes in housing taxes and tax deductions, and in banking regulation through the lens of a multi-agent dynamic general equilibrium model. Specifically, the housing taxes that are examined consist in the property and land transfer taxes, and the tax deductions are the ones that are attached to the mortgage interest rate and imputed rental income. Our main result is that borrowing-constrained bankers play an important role for housing dynamics and for welfare improvements. On the contrary with tax deductions, policies that change housing taxes and banking requirements so that tax revenues are raised lead to a greater GDP. All policies are welfare-improving for homeowners, but welfare-diminishing for renters and bankers. JEL classification:E62, G28, R38 .
A Comprehensive Review: Internet of Things (IOT)

: “Internet of things”– is a subject of great interest for many in today’s world. IoT is the future that scholars and researchers anticipate and work for. IoT tries to bring everything under one umbrella with cross disciplinary collaboration. The unification of everything in the world, making use of a common infrastructure that can, not only provide the users with the control but also helps them understand the state of it is the zenith of IoT. Keeping this in mind, this study addresses various IoT concepts through professional discussion with experts, systematic review of scholarly research papers and online databases. This research paper consists of definitions, evolution, IoT hardware, software, cloud services
Determination of High School Students’ Physical Activities, Stress Levels and Coping Capabilities

This descriptive research was carried out to determine high school students’ physical activities, stress levels and coping capabilities. The research was conducted between 1-31 May 2014 and the research sample involves 400 students of three high schools. Personal Information Form, International Physical Activity Questionnaire and the Ways of Coping Inventory were used for data collection. Data collection tools were applied on children in classroom environment. SPSS 16.0 software was used for data evaluation. Percentage distribution, t test and ANOVA test were used in the analysis of obtained data. In the research, 66.3% of the students were found to have low and medium physical activity levels. A statistically significant relationship was found among students on a gender, age and grade based evaluation, in which female and 14 year old students displayed lower physical activity, and 12 th grade students exhibited higher physical activity levels. No statistically significant relationship was found between the students’ physical activity levels and their stresscoping capabilities. A statistically significant difference was found between the students’ gender, age, grade, school success, economical status, smoking status and physical activity-based coping scale scores. In the most active stage of their lives, high school students exhibited low physical activity and stress-coping levels. Initiatives should be taken for increasing the physical activity levels of students and improving their ways of coping with stress, particularly for female students and those receiving 9 th grade education.
The Wood’s Light’s Diagnostic Use in Dermatology

ABSTRACT The field of dermatology utilizes a wide variety of tools to aid in the determination of a diagnosis. Diagnostic tools are helpful when the cause of a patient’s presentation may not be obvious based on history and physical examination. The purpose of this column is to highlight some of the more commonly encountered diagnostic tools in dermatology, the background and indications for their use, their construct and application, the ways to interpret their results, and their important clinical implications. This article presents the Wood’s light, a useful and cost-effective tool to quickly assess many dermatologic conditions.
A Multi-Phase Feature Selection Approach for the Detection of SPAM

-In the past few years the Naïve Bayesian (NB) classifier has been trained automatically to detect spam (unsolicited bulk e-mail). The paper introduces a simple feature selection algorithm to construct a feature vector on which the classifier will be built. We conduct an experiment on SpamAssassin public email corpus to measure the performance of the NB classifier built on the feature vector constructed by the introduced algorithm against the feature vector constructed by the Mutual Information algorithm which is widely used in the literature. The effect of the stop-list and the phrases-list on the classifier performance was also investigated. The results of the experiment show that the introduced algorithm outperforms the Mutual Information algorithm.
Real Time Hand Gesture Recognition With A Novel Distance Measure Gpd For Iot Based Controlled Assistance System

: This paper focuses on developing a real-time hand gesture controlled assistive system (RTHGCAS) using Internet of Things (IoT) with a novel distance measure GPD (Gaussian Product based Distance). It is useful to the elderly people to communicate remotely for assistance and it provides continuous monitoring of the activities done by the user. To avail these advantages, person has to wear an embedded wrist wearable Assistive Gesture Recognition Device (AGRD). This AGRD performs an accelerometer sensor based hand gesture acquisition, recognition and communication. Initially AGRD need to be trained with different hand gesture patterns in the form of Random gestures, Telugu character vowels and English alphabets. We collected fifteen gesture patterns with five instances for training the device. By varying the sampling rate of the gesture signal, analyzed the RTHGCAS performance by considering recognition accuracy and application response time. The proposed algorithm with 50 Hz sampling rate is better for accelerometer based gesture recognition and real time action controlled with application response time of approximately 8.3 seconds, AGRD response time is of 9.54 milli seconds, and with a good accuracy of 97.38% which gives the better result when compared with Dynamic Time Warping distance measure.
A Hybrid Approach for Raising Biometric System Security by Fusing Fingerprint and Iris Traits

— Biometric system uses physiological and behavioral characteristics for the purpose of verification and authentication of the user. The unimodal biometric approach includes only one characteristic of the user for the validation purpose. The unimodal approach provides limited accuracy for the recognition of a person due to some limitations like error rate is high, noise contained in sensed data etc. Multimodal systems are designed to overcome the limitations of unimodal biometric systems. The multimodal approach uses more than one trait of the user for authentication. This paper deals with liveness detection technique together with the multimodal approach used for authentication of a user. The liveness detection technique determines whether the enrolled user is live or not. This technique will be more helpful in more sensitive and secure areas like defense and banks. The current study provides an approach to increase the accuracy and security in biometrics combining fingerprint and iris characteristics simultaneously along with liveness detection technique.
AN IMPROVED HYBRID DSTATCOM TOPOLOGY TO COMPENSATE UNBALANCED AND NON LINEAR LOADS

Traditionally, static capacitors and passive filters have been utilized to improve power quality (PQ) in a distribution system. However, these usually have problems such as fixed compensation, system-parameterdependent performance, and possible resonance with line reactance. A distribution static compensator (DSTATCOM) has been proposed in the literature to overcome these drawbacks. It injects reactive and harmonics component of load currents to make source currents balanced, sinusoidal, and in phase with the load voltages. However, a traditional DSTATCOM requires a high-power-rating voltage source inverter (VSI) for load compensation. The power rating of the DSTATCOM is directly proportional to the current to be compensated and the dc-link voltage. Generally, the dc-link voltage is maintained at much higher value than the maximum value of the phase-to-neutral voltage in a three-phase four-wire system for satisfactory compensation (in a three-phase three-wire system, it is higher than the phase-to-phase voltage). However, a higher dc-link voltage increases the rating of the VSI, makes the VSI heavy, and results in higher voltage rating of MOSFET switches. It leads to the increase in the cost, size, weight, and power rating of the VSI.
Impact of Cigarette Smoking On Lipid Profile among South Indian Smokers

Tobacco smoking is one of the well known modifiable risk factors for atherosclerosis, coronary heart diseases, lung & oral cancers and chronic obstructive pulmonary diseases. Tobacco is consumed in many ways such as chewing, smoking. In India, tobacco kills 8–10 lakh people each year and majority of these deaths occur in young age. An estimate says that an average of five-and-a-half minutes of life is lost for each cigarette smoked. This study was designed to demonstrate the effects of smoking on lipid profile among south Indian smokers and to identify the differences between the lipid profiles of smokers. The study group comprised of 25 males with age range between 40 and 55years and 25 age matched males as controls. The smokers in this study were those smoking 11-20 cigarette/day for last 15 years. There were no significant differences in age, height, weight and BMI between the groups. But, Heart rate (p<0.001), systolic blood pressure (p<0.001) and diastolic blood pressure (p<0.001) were significantly high in smokers when compared to controls. The total cholesterol (p<0.001), low density lipoproteins (p<0.001), very low density lipoproteins (p<0.001) and triglycerides (p<0.001) were significantly high and high density lipoproteins (p<0.001) were significantly low in smokers when compare to non smokers. The results of this study show that smokers are at much greater risk of developing atherosclerotic plaques and different heart diseases than non-smokers.
Power Spectrum in the Conductive Terrestrial Ionosphere

Article history Received: 19 March 2020 Accepted: 23 March 2020 Published Online: 31 March 2020 Stochastic differential equation of the phase fluctuations is derived for the collision conductive magnetized plasma in the polar ionosphere applying the complex geometrical optics approximation. Calculating second order statistical moments it was shown that the contribution of the longitudinal conductivity substantially exceeds both Pedersen and Hall’s conductivities. Experimentally observing the broadening of the spatial power spectrum of scattered electromagnetic waves which equivalent to the brightness is analyzed for the elongated ionospheric irregularities. It was shown that the broadening of the spectrum and shift of its maximum in the plane of the location of an external magnetic field (main plane) less than in perpendicular plane for plasmonic structures having linear scale tenth of kilometer; and substantially depends on the penetration angle of an incident wave in the conductive collision turbulent magnetized ionospheric plasma. The angle-of-arrival (AOA) in the main plane has the asymmetric Gaussian form while in the perpendicular plane increases at small anisotropy factors and then tends to the saturation for the power-low spectrum characterizing electron density fluctuations. Longitudinal conductivity fluctuations increase the AOAs of scattered radiation than in magnetized plasma with permittivity fluctuations. Broadening of the temporal spectrum containing the drift velocity of elongated ionospheric irregularities in the polar ionosphere allows to solve the reverse problem restoring experimentally measured velocity of the plasma streams and characteristic linear scales of anisotropic irregularities in the terrestrial ionosphere.
Exposure Fusion from a single image

We announce here a paper under preparation for the IPOL Journal, in which we adapt the Exposure Fusion method to a Retinex usage. Exposure Fusion is a technique used in the context of high dynamic range imaging, which fuses a bracketed exposure sequence into a high quality image. Our proposition takes advantage of Exposure Fusion in the more general context of improving the overall quality of any image, turning Exposure Fusion into a new and simple contrast and color enhancement operator.
Crowdsourcing in Journalism-Oxford Research Encyclopedia of Communication

Advances in digital technologies and participatory culture have enabled the efficient use of crowdsourcing in a broad range of contexts, including journalism. Journalism is in­ creasingly deploying crowdsourcing as a knowledge-search method and a means of en­ gaging readers. Through crowdsourcing, journalists can tap into the collective intelli­ gence of large online crowds. The knowledge-search mechanism is based on access to the information held by the crowd.
Factors Influencing Job Seeker’s Intention to Use E-Recruitment: Evidence from a State University in Sri Lanka

Recruitment of employees is at the core of the Human Resource Management (HRM) process and it plays a very important role in an organizational scenario. In the human resource management field, recruitment is the process of finding and acquiring the most suitable candidates for the vacancies of the organization at the right time and in a cost-effective way. In order to achieve the recruitment goals, recruitment programs should arrange so that the qualified candidates attract to the job openings. The traditional recruitment methods should be replaced with most technologically advanced recruitment methods to achieve recruitment goals. To survive in this competitive market, companies should have to adopt to the internet technology, especially in finding the suitable candidates to fill crucial positions in a company. According to Busser and Davis (2001) as cited in Troshani, Jerram and Gerrard (2010), changing traditional recruitment methods into online recruitment methods now became the latest trend in the recruitment process. The presence of electronic human resource management (eHR) has increased since the mid-1990 (Boudauouk&Ruel, 2005). Hadlogten (2009) as cited in Alsultanny and Alotaibi (2015), the first introduction of the internet as a recruitment tool was in the mid-1990s.
VIRTUAL REALITY MODELING, ANALYSIS AND SIMULATION OF FORMATION FLYING OF TWO UNMANNED AERIAL VEHICLES

-The objective of this paper is to show a complete simulation and implementation of multiple unmanned aerial vehicles (UAV), with emphasis on the requirements needed and the benefits realized in making the simulation functional for an arbitrary number of vehicles. Cooperative control is shown for an autonomous set of vehicles in performance of tasks such as formation, reconnaissance, surveillance, search, jamming and decoy or target attack. The simulation is developed using a Commercial off the Shelf (COTS) software package that allows for a hierarchical block diagram representation to include control laws and vehicle models. Visualization is achieved by having the simulation drive a VRML (Virtual Reality Modeling Language) world allowing the interactions of the vehicles in their environment to be seen as the simulation is running. Implementation is done using Micropilot an auto pilot system developed by Canadian based company, which can be interfaced with Horizon. The HORIZON ground control software is a user-friendly interface for Communicating with your MicroPilot Autopilot. The control law is implemented with position estimation.
Strategic Alignment of Information Systems Flexibility with Organization’s Operational and Manufacturing Philosophy: Developing a Theoretical Framework

Information systems (IS) forms the nucleus of any organization. Proper coordination, timely support and availability of information is essential for any organization to function properly in order to achieve its objectives, fulfill its strategic needs and sustain in the competitive environment of uncertainty. Strategic information system (SIS) is the new term adhering to the above concept which talks about alignment of information needs to strategic orientation of any organization. In this paper, we particularly talk about the various manufacturing strategies adopted by organizations and try to relate their characteristics to the type of IS flexibility requirement to effectively support them. A literature review has been presented to identify the diverse organizational strategies and IS flexibility dimensions. Based on the review, arguments are made to build the theoretical framework and subsequent hypothesis.