Reviewerly/exHarmony huggingface dataset:
Web-Based Tool to Determine Data-Driven Insights Using Public Sentiment

A web-app accepting a keyword from the client, then applying concepts of opinion mining on Twitter data using NLP and further visualizing results with frontend technology for providing users with information about oneâ€™s opinion about an event. This event can range from exit polls, product reviews, economic judgment, etc.
Variational Weakly Supervised Sentiment Analysis with Posterior Regularization

Sentiment analysis is an important task in natural language processing (NLP).Most of existing state-of-the-art methods are under the supervised learning paradigm.However, human annotations can be scarce.Thus, we should leverage more weak supervision for sentiment analysis.In this paper, we propose a posterior regularization framework for the variational approach to the weakly supervised sentiment analysis to better control the posterior distribution of the label assignment.The intuition behind the posterior regularization is that if extracted opinion words from two documents are semantically similar, the posterior distributions of two documents should be similar.Our experimental results show that the posterior regularization can improve the original variational approach to the weakly supervised sentiment analysis and the performance is more stable with smaller prediction variance.
How do individuals decide which modeling scripts to use during systems analysis and design?

Because most information systems in real-world domains are complex, practitioners often use different types of conceptual modeling scripts to understand them. Modeling methods such as UML, for example, provide more than a dozen scripts for practitioners to use. We study how script readers decide which of several different scripts to use during systems analysis and design tasks. We carried out a free-simulation experiment to test how users select scripts based on two factors: combined ontological completeness and ontological overlap. We find that participants indeed decided to select more than one script to achieve a more complete domain representation. But, when they selected more than three scripts, they decided to remove scripts and reduce combined completeness to increase the clarity of the combined representation. Our results indicate that script readers prefer relatively less complete scripts with high levels of clarity over more complete, but more overlapping, script combinations. We detail the implications these findings have for the theory and the practice of conceptual modeling.
A Simple Run-time Parser Generator

This paper introduces a parser generator that can, at program run-time, accept the definition of a grammar and configure a parser that is usable immediately, without additional compilation steps. The working principle and the design philosophy behind the parser generator are discussed. The parser generator and the generated parser are applicable to all the common tasks of code and structured text parsing. This paper argues that the proposed parser generator reduces the programmer's effort and the level of expertise required to perform common tasks, such the input and parsing of structured text, and syntax analysis of program code.
Integrating Geospatial Interpolation Techniques and TOPSIS to Identify the Plausible Regions in India to Harness Solar Energy

Energy is an essential commodity that helps in the economic growth of a country. Unfortunately, the availability of conventional sources used for the generation of electricity is reducing, which is one of the significant reasons for energy insecurity, especially in context to India. In this regard, the Indian Ministry has emphasized on the use of renewable energy to meet the increasing energy demand. Solar is one such renewable alternatives, which is being promoted in India. It is planned to extend the current installed capacity in the near future. In this regard, mapping the seasonal variation of solar radiation over the entire country would help in planning appropriate developmental activities. However, since the meteorological stations are confined to selected localities, the solar radiation received over the entire country remains unmapped. In this study, considering the solar irradiation fields of 72 discrete locations, irradiation over the entire nation is mapped using geospatial interpolation techniques. Additionally, the hierarchy of states that are relatively insensible to seasonal variations and receiving maximum radiation is determined using the TOPSIS multi-criteria decision-making technique. The findings of this study ratify that the IDW interpolation technique is most suitable for the estimation of solar radiation data. Further, the relative hierarchy of states drawn helps to plan the developmental activities optimally and to expand the solar installation capacity in the country.
Research of Language Recognition Methods Based on Machine Learning

This article is focused on speech recognition methods research and analysis of their efficiency. It presents a review of the most known ways to convert a person's speech into text, their effectiveness, and complexity in exploitation. The article scribes the application of machine learning in speech recognition tasks. A program was developed with a neural network for the research realization - a new technique of speech translation automation. The experiment provides information about comparing methods of speech recognition and analyzing the results of using them. Conclusions about the further realization of the research were drawn based on these results.
Data Extraction Based on Web Scrapy

In recent years, with the growth of big data the information on the Internet is increasing rapidly, it has become important to have technologies that help the user to obtain the information efficiently and easily. Many undergraduate students buy books and school supplies through online stores such as Amazon and other websites. How to effectively obtain information from the websites. This paper implements a Python web scraper to extract the data from the target websites and store the collected data on the comma separated values file. This system aims to collect information about the products that undergraduate students need from the target websites and return them to the users with a simple page. Users can search for product that they are want to obtain information about it and the crawler crawled the following information (product name, product price, product URL) from the following online stores: Amazon, eBay, Jarir, and Extra then stored it in the comma-separated values file for information analysis. The data scraped by the crawler and saved on the comma-separated values file is 9083 records. The importance of the system lies in its effective ability to reach products fast and high efficiency and enable price comparison of similar products on different online shopping stores therefore saving the searching time.
A Publicly Verifiable and Cheating Resistant Secret Sharing Based on Public Key Cryptosystem and Hash Function

Sensitive data kept in a single information-bearer is more vulnerable to attack. Due to a single point of failure, it could be easily accessible or modifiable by an unauthorized user. To provide security to sensitive data against illegal access or alteration, several secret sharing techniques have been proposed. In a (k, n) threshold secret-sharing technique, n shares of the secret has to be distributed to n participants. And at the end, at least k out of n shares have to be collaborated to reveal the true secret. The beauty of this scheme is that collaboration of any shares less than k will not be able to reveal any kind of information regarding the secret. But, what will be the scenario if the shareholders are dishonest or some attacker is trying to hamper the secrecy of the secret by providing wrong information? So, to verify the correctness of the shared information, the verifiable property is added to the secret sharing, which is known as Verifiable secret sharing (VSS). Secret verification and cheater recognition are the two most popular features of this mechanism. The first one verifies the correctness of the secret and the second one helps to identify the cheater who has provided the wrong share. In our recent work, a publicly verifiable secret sharing technique is proposed, which can recognize the malicious participants or dishonest coordinator. The resistance of our proposed scheme towards the different types of attacks has been shown in the security analysis in this paper.
Magic Wand: Towards Plug-and-Play Gesture Recognition on Smartwatch

We propose Magic Wand which automatically recognizes 2D gestures (e.g., symbol, circle, polygon, letter) performed by users wearing a smartwatch in real-time manner. Meanwhile, users can freely choose their convenient way to perform those gestures in 3D space. In comparison with existing motion sensor based methods, Magic Wand develops a white-box model which adaptively copes with diverse hardware noises and user habits with almost zero overhead. The key principle behind Magic Wand is to utilize 2D stroke sequence for gesture recognition. Magic Wand defines 8 strokes in a unified 2D plane to represent various gestures. While a user is freely performing gestures in 3D space, Magic Wand collects motion data from accelerometer and gyroscope. Meanwhile, Magic Wand removes various acceleration noises and reduces the dimension of 3D acceleration sequences of user gestures. Moreover, Magic Wand develops stroke sequence extraction and matching methods to timely and accurately recognize gestures. We implement Magic Wand and evaluate its performance with 4 smartwatches and 6 users. The evaluation results show that the median recognition accuracy is 94.0% for a set of 20 gestures. For each gesture, the processing overhead is tens of milliseconds.
Robust water meter reading recognition method for complex scenes

We propose a robust water meter reading recognition method for complex scenarios. In our method, the traditional water meter recognition method has been improved so that it can handle more variable real-world scenarios. A WDPDet network is applied in the digit and pointer area detection. The geometric methods is used for rotation correction for subsequent processing. In particular, a data augmentation method is proposed for half-word character recognition that is difficult to handle in the past, which greatly improve network performance. A coarse-grained projection method for pointer recognition is proposed to deal with more complex interference. We have performed a lot of experiments on different devices and scenarios, and have achieved good accuracy.
Bitcoin Technology and Its Security Challenges: A Research Survey

In this paper, we discuss the bitcoin technology such as structuring of bitcoin, building of blockchain used in bitcoin, mining, transaction and bitcoin security. The various attacks and its countermeasures have been presented. Bitcoin is a peer-to-peer decentralised electronic cash mechanism which does not depend on any form of central monetary issuing authority or validation and settlement of transactions. For security aspect Blockchain is used in bitcoin in the form of distributed computation. In particular decentralized computation relies on nodes in its network to process, verify and store the information disseminating inside the network. Each node acts as both a client and a server and so the load of catering to requests from clients is spread out and not concentrated on one system. In the case of blockchain, a single data structure is shared across all the nodes, and any updates made to that data structure are circulated across the network.
Relation Between Usability and Accessibility: A Case Study in Peruvian E-Commerce Websites

The accessibility together with the usability are two important quality attributes that must be considered in the development process of software products. However, it is possible to find a significant number of websites on the Internet that do not meet minimum considerations about these two quality attributes. A frequent problem is that web sites do not provide mechanisms that allow people with different abilities and capabilities to access them, infringing local laws and the right of all citizens to access a public service. In addition, many web sites provide interfaces that are difficult to understand, unattractive, and with several functionality problems that negatively affect the experience. In this study, the relationship between the level of usability and accessibility of websites is examined. For this purpose, the five most representative Peruvian websites in this domain were selected and measured in a heuristic inspection and accessibility evaluation. Finally, the study presents the correlation analysis between both variables.
A Framework for Knowledgebase Curation using Cognitive Web Architecture

Technologies used in cognitive web architecture such as the Resource Description Framework Knowledge Graph, and other Semantic technologies could well be used to curate the knowledgebase of a knowledge-based system. The paper proposes a framework to automatically abstract unstructured knowledge from the web and curate the knowledge of the system with it.
Application of face verification based on Angular Margin triplet in train diagram management system

The data managed by the train diagram management system is related to the safe operation of the train, so how to ensure that the management system is not modified, added or deleted by unauthorized personnel is very important for the safe operation of the train. In order to ensure that only legitimate users can access the train diagram data, a face verification algorithm based on Angular Margin triplett is proposed, and is applied to the login verification and modification data verification modules of train diagram management system to realize the safety management of train diagram data.
Application-based sales system interface design for dumpling noodles xyz

Abstract The sales system at Dumpling Noodles XYZ currently uses manual sales recording methods so that sales reports made so far are not stored properly. This certainly hinders business development because it is difficult to conduct business evaluations. For business development, this company wants an application that can improve the existing business sales system. Interface design needs to be documented to make it easier to communicate, coordinate all data and information needs with system users so that the designed system can be implemented properly according to the needs of system users. In this paper, the DFD of each level will be explained to produce the desired design. This application has a view consisting of the initial view, main view, customer registration form, supplier registration form, customer purchase form and supplier purchase form. The research results are expected to assist companies in making daily and monthly reports easily so as to increase efficiency and effectiveness in existing data processing.
Semantic Web Technologies

The overarching aim of the Semantic Web is to allow computers to perform more valuable research and to construct structures that can facilitate reliable connections around the Network. Semantic Web applications help people to establish data stores on the Internet, build vocabulary, and compose data handling guidelines. Using the details of metadata, the semantic web recovers efficiently the web page user is searching for. Authors have introduced Semantic web, its development and technologies in brief, in this work. Provenance is the most crucial feature in for trustworthiness of semantic web. This feature is focused with the help of provenance data model. Authors discussed semantic web implementations such as semantic web desktop, geospatial semantic web etc. and their applications in different fields such as agriculture, healthcare, and IoT.
REFINING EXPERT BASED EVALUATION ON THE BASIS OF A LIMITED QUANTITY OF DATA

A techniq­ue has be­en de­ve­lo­ped to re­fi­ne ex­pert ba­sed eval­ua­ti­on of the pro­ba­bi­lity distri­bu­ti­on pa­ra­me­ter of a ran­dom va­ri­ab­le ba­sed on a li­mi­ted amo­unt of sta­tis­ti­cal da­ta. This ma­de it pos­sib­le to iden­tify the most in­for­ma­ti­ve da­ta transmis­si­on chan­nel (the most qua­li­fi­ed ex­pert) and get its re­li­ab­le as­sessment. It has be­en es­tab­lis­hed that the analysis and pro­ces­sing of a li­mi­ted amo­unt of da­ta is car­ri­ed out using well-known techniq­ues in pro­ba­bi­lity the­ory and mat­he­ma­ti­cal sta­tis­tics, whe­re sig­ni­fi­cant the­ore­ti­cal and prac­ti­cal ex­pe­ri­en­ce has be­en ac­cu­mu­la­ted. A mat­he­ma­ti­cal mo­del that descri­bes the sta­te of an ob­ject, pro­cess, or phe­no­me­non is pre­sen­ted as a po­int es­ti­ma­te of the pro­ba­bi­lity distri­bu­ti­on pa­ra­me­ter of a ran­dom va­ri­ab­le, the val­ue of which is ob­ta­ined on the ba­sis of a small sample of da­ta. The mo­dern appro­ac­hes to the sta­tis­ti­cal es­ti­ma­ti­on of a ran­dom va­ri­ab­le are analyzed, the most com­mon of which is the Ba­ye­si­an appro­ach. It is es­tab­lis­hed that the most sig­ni­fi­cant mo­ment of the Ba­ye­si­an es­ti­ma­ti­on of the unknown pa­ra­me­ter of the pro­ba­bi­lity distri­bu­ti­on of a ran­dom va­ri­ab­le is the ap­po­intment of a cer­ta­in functi­on of the a pri­ori den­sity of its distri­bu­ti­on. This functi­on sho­uld cor­res­pond to the ava­ilab­le pre­li­mi­nary in­for­ma­ti­on on the sha­pe of the a pri­ori pro­ba­bi­lity distri­bu­ti­on of this qu­an­tity. The tra­di­ti­onal appro­ach to iden­tif­ying the most in­for­ma­ti­ve chan­nel for transmit­ting da­ta on the sta­te of an ob­ject, the co­ur­se of a pro­cess or phe­no­me­non, and cut­ting off ot­hers is less re­li­ab­le. This is car­ri­ed out using the so-cal­led mec­ha­nism of re­du­cers of deg­re­es of fre­edom. Its ma­in di­sad­van­ta­ge is that in the cut-off da­ta transmis­si­on chan­nels, the­re may be so­me use­ful in­for­ma­ti­on that is not in­vol­ved in the de­ve­lop­ment of an ag­re­ed so­lu­ti­on. The­re­fo­re, it is ne­ces­sary to intro­du­ce mec­ha­nisms of discri­mi­na­tors of deg­re­es of fre­edom. They al­low all da­ta transmis­si­on chan­nels to par­ti­ci­pa­te in the de­ci­si­on-ma­king pro­cess in terms of im­por­tan­ce, which cor­res­ponds to the gre­atest deg­ree of the­ir in­for­ma­ti­on con­tent in the cur­rent sit­ua­ti­on. An il­lustra­ti­ve example of the appli­ca­ti­on of the con­si­de­red met­hods of ave­ra­ging da­ta is shown, which ref­lects the re­sults of cal­cu­la­ti­ons by ite­ra­ti­ons using the imple­men­ta­ti­on mec­ha­nisms of both re­du­cers and discri­mi­na­tors of deg­re­es of fre­edom. The­se mec­ha­nisms ref­lect the fe­atu­res of the imple­men­ta­ti­on of ite­ra­ti­ve al­go­rithms that are cha­rac­te­ris­tic of both met­hods of mat­he­ma­ti­cal sta­tis­tics and met­hods of a syner­ge­tic system of ave­ra­ging da­ta.
Research on R&D process proposal in the era of convergence

This thesis is to proceed with a detailed review of the existing R&D process and to study whether it can be used in the era of the new 4th industrial revolution. Rapid changes in technology and trends are causing significant social and economic changes, and the R&D process is also changing. It finds and analyzes the characteristics of a new era, studies and proposes an R&D process suitable for the era of the 4th industrial revolution.
Exploring the Probable Applications of Data Mining in the Field of Civil Engineering

Data Mining (DM) is the practice of examining large pre-existing databases in order to generate new information. It is an advanced method for analyzing records from different parameters and processing them to useful data. Users may analyze documents from various groups and criteria to outline known relationships. Technically, DM is the method of finding correlations or styles between multiple fields in large relational databases. It enables users to review records from various data sources and parameters to summarize recognized relationships. Technically, DM is the method of finding correlations or styles in large relational databases between multiple fields. Data mining is certainly the method of finding valuable information from large data sets. It is the process by which various patterns from extensive data are discovered. The review of current databases produces useful knowledge and valuable information. Data mining studies are used in many engineering disciplines in the current scenario. This paper reflects the significance and application of data mining tools and their techniques in various fields of civil engineering through the available literature.
Constructing the Electronic Countermeasures System Architecture Based on Case-Based Reasoning and Bayesian Inference

Abstract In order to promote the quality of electronic countermeasures system architecture, this paper present a methodology for constructing the electronic countermeasures system architecture based on case-based reasoning and Bayesian inference. The methodology described history cases by CPN model, established the largest similarity case and feasibility space by combining the CPN color set and k-means algorithm, and then proposed the optimizing orderings of variables of Bayesian by the LFS (Legal Firing Sequence) of CPN model and maximum information entropy, learned the Bayesian networks structure by K2 algorithm using the result of orderings of variables. At last, this paper concluded the electronic countermeasures system architecture tactics and discussed the way of reasoning for constructing the electronic countermeasures system architecture.
Modern Technique of Encryption Decryption Based On Image

In today's age of technology, sharing of information and transfer of data has increased rapidly. The problem of facing the third party accessing the has been the issue of highly concern for the experts of data communication. The security measures plays an important role to provide authentication only of the authorized person, with accuracy, safety and integrity of data and resources. This method is to gain secure communication. There are number of techniques for security of data. To enhance the security to made the data safe from un authorized users “MODREN TECHNIQUE OF ENCRYPTION DECRYPTION BASED ON IMAGE.” Is designed by using key generation, key exchange and binary complements for data (text/image) authentication.
Floating resort planning in Tano Ponggol with water conservation approach

Abstract The government of Republic of Indonesia built a supporting infrastructure for the growth of the Toba Lake National Tourism Strategic Area as an international tourist destination. One of infrastructure built is the Tano Ponggol Bridge, which becomes the only road connecting into that area. To help the government work program, planning accommodation becomes very urgent along with the development of tourist areas on Toba Lake. Planning a Floating Resort that has design ideas and new innovations is one solution to support government programs and tourism activities in Tano Ponggol. The method in this design starts from the site survey directly, then the data collection by observation, documentation, literature review and comparative study of similar projects and themes for the preparation of the planning concept of the Floating Resort in Tano Ponggol with the concept of a water conservation approach that will use water from Toba Lake as a support utility and can also be used as a design settlement at the resort. The application of the concept is applied to the utility system and also the design of the building that will show the process of collecting rainwater through the roof of the building and returning water to the lake.