Reviewerly/exHarmony huggingface dataset:
Android Mobile Based Voting System through Facial Recognition

Due to the increase in population, identification of fake voting is getting more complicated.The only proof of identification is just a voter id.Due to this there has been difficulty in identifying fake voters.To overcome this ssue, an approach based on facial recognition system using android mobile is proposed.This system consists of three phases.In first phase the details of voter like name, adhaar number and email id will be verified.In the second phase, user login through android phone where mobile application captures the voter's face and will be sent to the server where the facial recognition takes place, if the match is found then the OTP (One Time Password) will be sent to the users email address.In the third phase, the user has to enter the OTP and if the OTP is correct, voter will be allowed to vote.This proposed system will be secure and eliminate any fake voters.Voters can also avoid standing in the queue in order to vote.Lot of benefits can be achieved by using this proposed system.
Data migration: relational RDBMS to non-relational NoSQL

As a part of achieving specific targets, business decision making involves processing and analyzing large volumes of data that leads to growing enterprise databases day by day. Considering the size and complexity of the databases used in today’s enterprises, it is a major challenge for enterprises to re-engineering their applications that can handle large amounts of data. Compared to traditional relational databases, non-relational NoSQL databases are better suited for dynamic provisioning, horizontal scaling, significant performance, distributed architecture and developer agility benefits. Based on the concept of Object Relational Mapping (ORM) and traditional ETL data migration technique this thesis proposes a methodology for migrating data from RDBMS to NoSQL. The performance of the proposed solution is evaluated through a comparative analysis of RDBMS and NoSQL implementations based on query performance evaluation, query structure and developmental agility.
Qualitative Analysis Framework for Converting Braille to Voice using Image Recognition

Abstract: In our everyday life, we are seeing a great deal of visionless people in our general public. These individuals face challenges with their ordinary exercises, for example, perusing, strolling, driving, mingling and composing. Braille Script is a technique that is broadly utilized by visionless people to peruse and compose. Braille Script is a system that is commonly used by visionless individuals to examine and form. Braille Code generally contains cells of brought spots organized up in a system to etch characters on paper. Trance People can identify the proximity and nonappearance of spots using their fingertips, giving them the code for picture. Its characters are six-spot cells, with segments and three lines. The musing is completed on a present understanding structure united with a constrained state machine with certain setting organizing and elucidation rules. A system is proposed for changing over Braille codes to Tamil voice message executed using Python in Natural Language Processing which can be scrutinized out to various through the PC. In this paper Braille code is expelled from data picture and it is mapped to the Tamil database and held up.
Dampak Penumpukan Dokumen Rekam Medis Terhadap Waktu Pengambilan Dokumen Rekam Medis Di RSU Sinar Husni Medan

The filling system is one of the administrators of medical records which is responsible for orderly administration in an effort to improve health services in hospitals. Accumulation of medical record documents will affect of work of officers in the filling section. The purpose of this study is to determine the impact of the bildup of medical records documents on the time of taking medical record documents at Sinar Husni Hospital. This research is a descriptive study with a qualitative approach. The population is all filling officers at the Sinar Husni Hospital and all patient medical records calculated on average in the third quarter of 2020, counted 719 documents. The samples in this study were 2 filling officers at the Sinar Husni Hospital and part of the medical record documents totaling 86 medical record documents that were taken incidentally. The instrument used was an interview guide. The measurement of time to take medical record documents uses a stopwatch. Data were analyzed descriptively. The results showed that the accumulation of medical record documents had an impact on the time to take medical record documents at the Sinar Husni Hospital, because the officers had difficulty carrying out filling activities because the access between shelves was narrower and the documents piled on the floor were not properly aligned, with an average of 10.05 minute. We recommend to add more storage space and shelves so that medical record documents that are stacked on the floor can be moved to the storage racks.
Preservation of Privacy of Big Data Using Efficient Anonymization Technique

Big data needs to be retained private because of the increase in the amount of data. Data is generated from social networks, organizations and various other ways, which is known as big data. Big data requires large storage as well as high computational power. At every stage, the data needs to be protected. Privacy preservation plays an important role in keeping sensitive information protected and private from any attack. Data anonymization is one of the techniques to anonymize data to keep it private and protected, which includes suppression, generalization, and bucketization. It keeps personal and private data anonymous from being known by others. But when it is implemented on big data, these techniques cause a great loss of information and also fail in defense of the privacy of big data. Moreover, for the scenario of big data, the anonymization should not only focus on hiding but also on other aspects. This paper aims to provide a technique that uses slicing, suppression, and functional encryption together to achieve better privacy of big data with data anonymization.
Performance-Oriented VM Provisioning in Clouds

Managing applications on the cloud requires extensive decision making on the part of the Application Provider (AP). When an application faces changing workload, the services of the application are either scaled up or down in response. The services run on Virtual Machines (VM) or container instances. APs decide on how the application scales through VM provisioning and the placement of the services on the VMs. Various drivers guide this decision making. Application performance and cost are two such drivers. This thesis answers the question of how APs can meet the performance constraints of their applications while minimizing the cost of the running VMs. Two versions of the problem are presented. The first version expects to meet mean response time constraints given a deployment configuration through the replication of VMs and addition of virtual processors. The presented solution is based on layered bottlenecks. A case study shows the solution meets response time constraints and uses fewer resources in comparison to a simple utilization based approach. The second version adds the minimization of cost as an objective, where VM-types having different cost rates are used. This problem does not require a deployment configuration and provides a complete solution, where resources can be added and removed. A novel solution based on the layered bottleneck strength value with genetic algorithm has been presented. For the case study, a decision maker is implemented for a web application. The proposed solution is compared with three algorithms, all of which run within the decision maker. The results from the case study show that the proposed solution provides shorter runtime than the exhaustive search, and is able to meet response time constraints with near optimal minimization of cost. The solution also results in better cost than a plain genetic algorithm and random search, at the expense of slightly longer runtime.
Review of &amp;quot;Revising the stochastic iterative ensemble smoother&amp;quot; by P.N. Raanes, A.S. Stordal, and G. Evensen

This is a very nice paper.Taking inspiration from the deterministic IEnKS, it significantly clarifies the derivation of the EnRML which I personally always found a bit convoluted.In spite of all the technical details, it is a relief to see the simple and sleek algorithm in page 12 of the manuscript.It allows for an immediate comparison with the deterministic IEnKS and it makes sense even without going into the details of the derivation.Part (and only part) of the simplification is reminiscent of the simplification operated in Bocquet and Sakov (2012) onto the IEnKF algorithm of Sakov et al. (2012) (line 21 of the main algorithm in Appendix A) without fundamentally changing the method.This could be briefly mentioned.I have not checked the appendices which are very technical and would require too much time to confidently check.C1
Unsupervised binocular depth prediction network for laparoscopic surgery

Minimally invasive laparoscopic surgery is associated with small wounds and short recovery time, reducing postoperative infections. Traditional two-dimensional (2D) laparoscopic imaging lacks depth perception and does not provide quantitative depth information, thereby limiting the field of vision and operation during surgery. However, three-dimensional (3D) laparoscopic imaging from 2 D images lets surgeons have a depth perception. However, the depth information is not quantitative and cannot be used for robotic surgery. Therefore, this study aimed to reconstruct the accurate depth map for binocular 3 D laparoscopy. In this study, an unsupervised learning method was proposed to calculate the accurate depth while the ground-truth depth was not available. Experimental results proved that the method not only generated accurate depth maps but also provided real-time computation, and it could be used in minimally invasive robotic surgery.
A semantic web services discovery approach integrating multiple similarity measures and k-means clustering

Web service (WS) discovery is an essential task for implementing complex applications in a service oriented architecture (SOA), such as selecting, composing, and providing services. This task is limited semantically in the incorporation of the customer’s request and the web services. Furthermore, applying suitable similarity methods for the increasing number of WSs is more relevant for efficient web service discovery. To overcome these limitations, we propose a new approach for web service discovery integrating multiple similarity measures and k-means clustering. The approach enables more accurate services appropriate to the customer's request by calculating different similarity scores between the customer's request and the web services. The global semantic similarity is determined by applying k-means clustering using the obtained similarity scores. The experimental results demonstrated that the proposed semantic web service discovery approach outperforms the state-of-the approaches in terms of precision (98%), recall (95%), and F-measure (96%). The proposed approach is efficiently designed to support and facilitate the selection and composition of web services phases in complex applications.
Evaluation and Classification of Master Health Checkup Database using Data Mining Techniques

In recent years particularly in India, Master Health Checkup (MHC) is becoming more familiar in almost all government and private hospitals.The MHC is now available in different types of packages.This type of medical checkup is must now days, because of food habits, change in climatic condition, stress, consuming more of junk foods, etc.In this research paper the primary data were collected from a private hospital and analyzed using data mining techniques.The Master Health Checkup (MHC) is a series of tests to screen each functional area closely to detect even the smallest symptom of a major illness.It also helps to identify the reason for minor ailments, which are constant.MHC is considered to be the most comprehensive prevention checkup.Master Health Checkup consists of five permanent packages, which are as follows: Master Health Checkup, Executive Health Checkuup, Heart Checkup, Whole Body Checkup and Well Women Checkup (B.Krishan Reddy, G.V.R.K. Acharyulu , 2002).Non-invasive measurement of blood pressure (BP) using cuff-based methods provides adequate data for many applications in medicine.However, cuff-based methods have some disadvantages, which limit their use in certain clinical situations.First, a continuous measurement of blood pressure is not possible, since a pause of at least 1-2 min between two BP measurements is necessary to avoid errors in measurement.Therefore, short-term changes in BP cannot be detected.Furthermore, the inflation of the cuff may disturb the patient and the consequences of these disturbances are alterations of BP.The blow up of the cuff leads to an arousal going along with an increase in the systemic blood pressure.Hence, in this case, blood pressure measurement may result in false-positive values. REVIEW OF LITERATUREMany research scholars are working in the filed of MHC database.Most patents have explicit desires when they visit their physicians.Identification of patients request and need is starting points of a patient centred approach to care.Number of subjects associated with patient satisfaction was examined for 243 patients with chronic diseases in general medicine clinics of the Department of Veterans Affairs Hospital.An average of 67% was meeting their expectations.In "A study of patient's expectation and satisfaction in Singapore hospital", it is described that in today's competitive healthcare environment, hospitals increasingly realize the need to focus on service quality
Review of Open-source Arduino-derived data loggers designed for field research

This article describes the development and technical details of the ALog data logger series, an open-source and low cost data logger that is based on Arduino technology.The article and the described data loggers are a significant contribution to the science community and readers of HESS, as the data loggers may provide a useful technology to many environmental scientists.The article summarizes the substantial development that has gone into the data logger development over many years, and provides detailed background information.The article also includes supplemental material and codes provided online.This helps to make the data logger accessible to the science (and general public) community.The article is well written and well organized throughout, with clear descriptions of the technology.I only have a few minor questions, mostly C1
Best Paper Selection

Albers DJ, Levine ME, Stuart A, Mamykina L, Gluckman B, Hripcsak G. Mechanistic machine learning: how data assimilation leverages physiological knowledge using bayesian inference to forecast the future, infer the present, and phenotype. J Am Med Inform Assoc 2018;25(10):1392-401 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188514/ Oktay O, Ferrante E, Kamnitsas K, Heinrich M, Bai W, Caballero J, Cook SA, de Marvao A, Dawes T, O'Regan DP, Kainz B, Glocker B, Rueckert D. Anatomically Constrained Neural Networks (ACNNs): application to cardiac image enhancement and segmentation. IEEE Trans Med Imaging 2018;37(2):384-95 https://spiral.imperial.ac.uk:8443/handle/10044/1/50440 Lee J, Sun J, Wang F, Wang S, Jun CH, Jiang X. Privacy-preserving patient similarity learning in a federated environment: development and analysis. JMIR Med Inform 2018;6(2):e20 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5924379/
Assessing of Some Toxic Heavy Metals Levels and Using Geo Accumulation Index in Sediment of Shatt Al-Arab and the Iraqi Marine Region

Mercury, arsenic, cadmium and lead, were measured in sediment samples of river and marine environmental of Basra governorate in southern of Iraq. Sixteen sites of sediment were selected and distributed along Shatt Al-Arab River and the Iraqi marine environment. The samples were distributed among one station on Euphrates River before its confluence with Tigris River and Shatt Al-Arab formation, seven stations along Shatt Al-Arab River and eight stations were selected from the Iraqi marine region. All samples were collected from surface sediment in low tide time. ICP technique was used for the determination of mercury and arsenic for all samples, while cadmium and lead were measured for the same samples by using Atomic Absorption Spectroscopy. The results for all the measurements in Shatt Al-Arab sediment showed the values at extent: (0.0611-0.1233 µg/g), (0.5490-46.2052µg/g), (2.3356-4.7773 µg/g), (51.3309-107.0358 µg/g) for concentration of mercury, arsenic, cadmium and lead respectively.While the concentrations in marine sediment were recorded at range: arsenic (0.3510 - 46.0110 µg/g), cadmium (3.5136 - 5.5905 µg/g) and lead (43.68974-75.37045µg/g). The statistical analysis for all stations was studied by using the software SPSS v-20.0. It shows there are no significant differences in the concentrations between stations at P≥0.05 level and also the geo accumulation index was calculated for metals in all stations.
Influence of Fuel Type Gasoline For Power, Torque, And Emissions On 4 Stroke Motorcycles

Various assumptions circulating in the community about the use of fuel types on motorcycles, among others; First use of a conventional motorcycle with a low compression can help clean the burn chamber, improve the performance of the engine, and no difference the perceived premium fuel users have on the EFI motorcycle with the compression Lower. The angapan caused the user to prefer Premium fuel due to a more economical price. This study was conducted to determine the influence of fuel usage on machine performance with multiple criteria. There is a treatment applied to the research object, so to get the desired data on this research using the experimental method. The resulting power drop occurred on the use of premium and pertalite fuels when compared with the power generated on the use of first fuel. The biggest power decline occurred in the comparison of power between first fuel with premium with a large decrease of 4.32%.
Adoption of Knowledge Management System: A Study on How IGracias Should be Adopted for Telkom Campus

IGraciass is an integrated academic and non-academic management information system from the Telkom Education Foundation (YPT). Based on the vision and mission, the strategy and tagline of the Telkom Education Foundation is "The Leader of ICT Education Provider" and the spirit of digital transformation for Indonesia, I-Graciass must be adopted and implemented in all higher education institutions (lemdikti) under the auspices. The YPT. However, the facts on the ground the adoption and implementation process of I[1]Graciass in each of these higher education institutions are not easy matters. Many features, ease of use of technology and the system interface needed to access the system are important factors in the success of the system. For this reason, this research was conducted with the aim of facilitating the adoption process of IGraciass in all higher education institutions of the Telkom Education Foundation (YPT) according to the respective needs of the educational institutions under the auspices of YPT. This research was carried out using the mixing method both qualitatively and quantitatively, then the researcher also developed a qualitative research instrument to conduct a survey of the users to determine which channels were effective in the process of transferring knowledge. The results show that to minimize the risk of failure in adopting a knowledge management system, companies need to select a system based on the functional, non-functional and transition requirements for the system, as well as the strength and capacity of the organization.
The influence of vocabulary skills and sentence structure with the ability to write a paragraphs description of vocational students

The research aims to determine: (1) the ability to use vocabulary and sentence structure class X SMK Purnama 2 Jakarta-Selatan. (2) the ability to write a paragrafh description and (3) the effect of the ability to use vocabulary and sentence structure to the ability to write a paragrafh description class X SMK Purnama 2 Jakarta-selatan. The research data such as the results of tests of vocabulary and sentence structure in the form of written tests of vocabulary and sentence structure of each of 50 numbers and descriptions essay writing test. The data source is a class X student of SMK Purnama 2 Jakarta-Selatan. Data were analyzed using multiple linear regression analysis. The results showed that (1) the ability to use the vocabulary class X SMK Purnama 2 Jakarta - Selatan and average value is 38.27, while the ability to use sentence structure average rating: 37.86. (2) The ability to write essays description of the class X SMK Purnama 2 Jakarta-Selatan average value is 38.92 and (3) no effect between the ability to use vocabulary and sentence structure to the ability to write a paragrafh description of the class X SMK Purnama 2 Jakarta- Selatan.
On Hungarian Article-Usage

In similarity to most Slavic languages, Serbian does not have articles, which makes it challenging for Serbian learners of Hungarian as a foreign language (HFL) to understand and learn when to use the article(s) in Hungarian (Balla 2016).Furthermore, HFL teaching materials do not address the issue either in a focused or in a contrastive manner (Andrić 2016).The paper considers what grammatical, semantic and pragmatic aspects need to be taken into account when teaching article-usage in Hungarian as a foreign language.We first present the problem in the context of learning HFL and review the approaches and explanations offered by course books, learner's grammars and functional accounts for HFL purposes.Then we discuss the "baseline" meaning of article-usage and non-usage.Finally, we proceed to contrast the various uses of different noun phrases (NPs) with and without an article.The analysis is guided by the following notions: definiteness, specificity, genericity, frame semantics, discourse-boundedness, number, possessive construction, sentence structure.Our major goal is to offer an explanation as to why and under what conditions singular and plural NPs with and without an article are used to express various meanings in text.
Authentic Data Transmission in Image with Different LSB Methods

A technique to hide undisclosed information from third party as well, the method of investigation to conceal secret data into the cover frame like text, audio, image and video without any change in substantial results to the carrier image is nothing but Steganography. The contemporary safe and taut steganography of image represents an exigent form of transformation of the inserted secrecy for the receiver with getting undetected [1-5]. In Image steganography, image is the carrier and any secret message (audio or text or image) can be transmitted. This algorithm of LSB can be executed in embedding territory where the secret audio data is inserted into the LSB of envelope image for creating the stego image. This paper gives the hiding of audio data as secret data in an image file using LSB with secret key and an improved inverted LSB image Steganography with improved mean square error and peak signal to noise ratio.