Reviewerly/exHarmony huggingface dataset:
Combined small subgroups and side-channel attack on elliptic curves with cofactor divisible by 2m

Nowadays, alternative models of elliptic curves like Montgomery, Edwards, twisted Edwards, Hessian, twisted Hessian, Huff's curves and many others are very popular and many people use them in cryptosystems which are based on elliptic curve cryptography. Most of these models allow to use fast and complete arithmetic which is especially convenient in fast implementations that are side-channel attacks resistant. Montgomery, Edwards and twisted Edwards curves have always order of group of rational points divisible by 4. Huff's curves have always order of rational points divisible by 8. Moreover, sometimes to get fast and efficient implementations one can choose elliptic curve with even bigger cofactor , for example 16. Of course the bigger cofactor is, the smaller is the security of cryptosystem which uses such elliptic curve. In this article will be checked what influence on the security has form of cofactor of elliptic curve and will be showed that in some situations elliptic curves with cofactor divisible by $2^m$ are vulnerable for combined small subgroups and side-channel attacks.
Desain Mesin Compiler untuk Penganalisa Leksikal, Sintaksis, Semantik, Kode Antara dan Error Handling Pada Bahasa Pemrograman Sederhana

In compilation techniques, the processes and stages carried out relate to translating source languages into target languages (object programs). Source languages are high-level programming languages that are easy to understand and easy to learn by humans, while target languages are low-level languages that are only understood by machines. In this study a compiler machine called Automatic LESSIMIC Analyzer is used which can be used to analyze, including lexical, syntactic, and semantic analysis. Compiler machines that are designed can also synthesize intermediate code, using assembler codes. The compiler engine will produce an analysis of the program code that the user enters in the form of an error message, if the program code is not in accordance with the grammar that applies generally in programming languages. In this research, the simple program code that is inputted is C ++ programming language, and successfully analyzes the lexical, semantic, syntactic, intermediate code generation and successfully detects errors from the program code entered with a success rate of 99%.
Spatial Estimation of Net Radiation by Surface Energy Balance Algorithm for Land in Lalgudi Block

The objective of this paper is to spatially estimate the net radiation by surface energy balance algorithm for land (SEBAL)model. The study was conducted inLalgudi block of Trichy district, Tamil Nadu, India.Landsat 8 satellite images for four selected scenes (December 2014 & January 2015 and December 2017 & January 2018) were used to estimate the net radiation from the SEBAL model.The maximum net radiation was observed in water bodies that were around 650 W m -2 .The net radiation was lesser (450 W m -2 ) from sand bed compared to all the other land uses.The net radiation from Paddy, sugarcane, Banana, Forest area, Coconut, and Prosopis was in the rangeof 560 to 600 W m -2 .The net radiation from barren land was in the range of 530 to 560 W m -2 .These results present SEBAL as a vital tool to be used in hydrological and environmental studies.
Sistem Informasi Peminjaman Dan Pembayaran Kredit Usaha (SIPAPEDA) Menggunakan Model Extreme Programming (Study Kasus : DAPM Jembar Kabisa Babakancikao Purwakarta)

The progress of Information and Computer Technology (ICT) has been widely applied. Not even a few business lines use computer sophistication. The use of this technology does not only occur abroad especially in large countries but also in Indonesia. A business credit lending agency is an agency or institution that records business transactions so that the technology of accelerator speed and accuracy is needed. To conduct a problem analysis in this study, a method of question and answer (interview) is carried out and direct assessment of the system that is running, the information system needed is built with extreme programming. This loan and payment application is in the form of an intranet website that can be accessed with a local server and implemented using web programming and MySQL used as database management system software. The making of the loan application and payment of credit is expected to help the problem of data accumulation and the slow pace of information retrieval on the Jembar DAPM, Kabisa, Babakancikao District, Purwakarta, which is still not fully computerized.
A Survey on Formal Specification and Verification of System-Level Achievements in Industrial Circles

Formal methods have been applied more and more in industrial circles. They use mathematical logic and rigorous models for analysis and verification, can be used at all the system life cycles, and provide verified software without bugs with respect to certain properties. The increasing industrial applications show that formal methods not only are theoretical research anymore, but also can be deployed in many concrete industrial applications. This paper surveys the important formal specification and verification of system-Level achievements in industrial circles.
Three-stage question answering system with sentence ranking

We explore a recently proposed question answering system. We developed a high speed modification based on dividing the question answering system into three consecutive stages. The first step is to find the candidate documents that most likely contain the answer to the question. The second step is to rank sentences by the probability of having a correct answer to the question. The third step is to find the exact phrase that answers the question. At the third step we used a recently proposed recurrent bidirectional neural network predicting the beginning and the end of a response. In this paper we showed that the proposed question answering system allows to speed up its work without significant losses in the quality. For each step we also explored the feature space construction techniques allowing to improve the final quality.
UAV-Undertaker: Securely Verifiable Remote Erasure Scheme with a Countdown-Concept for UAV via Randomized Data Synchronization

Unmanned aerial vehicles (UAVs) play an increasingly core role in modern warfare, with powerful but tiny embedded computing systems actively applied in the military field. Confidential data, such as military secrets, may be stored inside military devices such as UAVs, and the capture or loss of such data could cause significant damage to national security. Therefore, the development of securely verifiable remote erasure techniques for military devices is considered a core technology. In this study, we devised a verifiable remote erasure scheme with a countdown-concept using randomized data synchronization to satisfy securely verifiable remote erasure technology. The scheme allows the GCS (Ground Control Station) to remotely erase data stored in the UAV, even on loss of communication, and returns proof of erasure to GCS after erasure. Our approach classifies the accumulated data stored in the UAV as a new data type and applies the characteristics of that data type to generate the proof of erasure. We select a small-volume data sample (rather than all of the data) and perform prior learning only on that sample; in this way, we can obtain the probative power of the evidence of erasure with a relatively small amount of traffic. When we want to erase data of 100 Mbytes of remote device, 100 Mbytes of data transfer is required for related work, whereas our system has data transfer according to the ratio of amount of randomly selected data. By doing this, communication stability can be acquired even in unstable communication situations where the maximum traffic can change or not be predicted. Furthermore, when the UAV sends the proof of erasure to the GCS, the UAV does its best to perform the erasure operation given its situation.
A Lexicon based Approach Towards Concept Extraction

The emergence of digital media has tremendously increased the amount of unstructured data.Recently 80% of data, generated over the web, is in an unstructured format.This immense amount of data is a great source for the knowledge discovery and thus, may be utilized for extracting purposeful information.This study adopted a lexicon-based approach for automatic concept extraction from online news stories and events.An application prototype has been developed to demonstrate the applicability and effectiveness of the adopted approach.The extracted knowledge about news stories, articles and blogs are essential in understanding in-depth information for news analysts.This knowledge plays a vital role in building societies since media is considered as an opinion maker for its audience.
MENINGKATKAN KEMAMPUAN BERHITUNG PADA ANAK USIA DINI MELALUI METODE BERNYANYI

Counting is a part of mathematics, the goal is to develop numeracy skills that are needed in everyday life. The singing method is an activity that uses sound instruments that can add insight into things that are not yet known to the child and will get new words so that it can enrich the vocabulary and be more skilled at using it. The ability to count in early childhood in Nurul Amanah Kindergarten is still low. The purpose of this study was to obtain an overview of improving children's numeracy skills through the singing method. The study was conducted using the classroom action research method. The data of this study were collected through observation and documentation of collected data analyzed in description. From the results of this study we can conclude the results that the ability of early childhood counting of 16 children consisting of 9 men and 7 women in fact has increased, this is taken from the final results after the implementation of actions in cycle 2 which is clear from each - the number of children in the category began to grow by 5 people, which was in the category of developing very well 7 people and in the category of developing very well as many as 4 people.
Morphology-Based Banknote Fitness Determination

Replacing unfit banknotes is an integral part of maintaining public confidence in currencies while maximizing banknote lifespan in public payment facilities. This paper presents a banknote fitness determination method which mainly focuses on soil and stain detection using images scanned with contact image sensors (CIS). Difference images between fit and unfit banknotes may be used to determine fitness. However, these images may contain erroneous edges since the CIS images usually have some alignment errors caused by scanning, printing, and cutting operations. To resolve this problem, we first categorized the soiling patterns into two types: large- and small-scale. Then we used two different morphological-based methods to eliminate the false edges by security features. After the soiling patterns were extracted, the fitness level was estimated by a maximum standard score. The proposed method showed promising performance when using the Euro and Russian banknote databases.
Issues and Challenges in Cloud Computing

Cloud computing is a model that helps to speed up and increase the flexibility of data management with reduced cost.It is undeniable that cloud computing has brings us lots of benefits and becoming more popular nowadays.Many large companies start using cloud service in their business.While the cloud computing is widely used, the security becomes a concern to everyone who use cloud services.There is a lot of security arises continuously while there are improvement as well on the security model of the cloud service provided.Despite the increasing use of the cloud service, the user should use the cloud service provided wisely in a way that always ensure good security practices so that this technology have the potential to bring the information technology to the next level.In this paper we have provided the foundation in regards to major issues and challenges in cloud computing and we have also proposed a data recovery technique in cloud computing.
Pengembangan Sistem Pakar Diagnosis Penyakit Ginjal Kronik Menggunakan Metode FIS - Sugeno

The number of patients with Chronic Kidney every year always increases. One of the causes is the late diagnosis to be known and the existence of an unfavorable lifestyle. The United Nations Alliance (WHO) estimates that in Indonesia there will be an increase in kidney failure patients until 2025 by 41.4%. In this study an expert system for diagnosing Chronic Kidney disease will be made using the FIS - Sugeno method. The variables used in the formation of fuzzy sets which are variable sets of laboratory results include creatinine, urea, hemoglobin, blood pH, urine albumin, and gout. Variables that have been entered in the fuzzy set are formed by a combination of one variable with the linguistics of each then the fuzzy set will be processed by the FIS-Sugeno method with the help of the Matlab Toolbox so as to produce a decision in the form of chronic kidney negatives, chronic pre kidney or chronic kidney positives. This application was tested by involving medical records of diagnoses from doctors using variables: creatinine, urea, hemoglobin, blood pH, albumin and acidic letters. The results of the decisions generated from the application using the Sugis-FIS method resulted in accurate decisions for users in diagnosing chronic kidney disease. Thus in general this application can be used to assist in the diagnosis of chronic kidney disease so that the spread of the disease can be suppressed as much as possible.
AIX: A high performance and energy efficient inference accelerator on FPGA for a DNN-based commercial speech recognition

Automatic speech recognition (ASR) is crucial in virtual personal assistant (VPA) services such as Apple Siri, Amazon Alexa, Google Now and SKT NUGU. Recently, ASR has been showing a remarkable advance in accuracy by applying deep learning. However, with the explosive increase of the user utterances and growing complexities in ASR, the demands for the custom accelerators in datacenters are highly increasing in order to process them in real time with low power consumption. This paper evaluates a custom inference accelerator for ASR enhanced by a deep neural network, called AIX (Artificial Intelligence aXellerator). AIX is developed on a Xilinx FPGA and deployed to SKT NUGU since 2018. Owing to the full exploitation of DSP slices and memory bandwidth provided by FPGA, AIX outperforms the cutting-edge CPUs by 10.2 times and even a state-of-the-art GPU by 20.1 times with real time workloads of ASR in performance and power consumption wise. This improvement achieves faster response time in ASR, and in turn reduces the number of required machines in datacenters to a third.
A Role and Potential of E-Krishimitra Tool in Usability Improvement of Agricultural Domain

The agricultural sector in India has challenges, such as requirement for increase of food production and produce.In addition, the agricultural sector has important effects due to global factors and rapid changes.These truths show that there is great necessity for information technologies (IT), which can be used to handle the challenges and changes and to progress agricultural production and marketing.Though, in India, the power of IT is not fully exploited in agriculture.Execution of IT in agricultural segment and rural parts is slow in comparison to the other sectors of the economy where IT has been implemented at rapid speed.The e-Krishimitra tool has been developed using information and communication technology to make the life of Indian famers easy.The tool provides various services like location-based service, Best crop suggestion, Crop disease diagnosis, guidance for government scheme and regional language support.Only the tool development is not sufficient, but the effectiveness of the tool should be evaluated to know whether it is used by maximum population or not.This paper presents detailed results of usability evaluation of e-Krishimitra tool.
PERENCANAAN STRATEGIS TEKNOLOGI INFORMASI: Studi Kasus Pada Perguruan Tinggi Lepisi Tangerang

Strategic plan IS/IT is an identification process portofolio application IS bases on computer that will support organization in execution of business plan and implement its business target. Strategy Planning IS/IT studies influence IS/IT to business performance and contribution for organization in selecting strategic steps. In other hand strategic plan IS/IT also explains various of toolses, technique and framework for manjemen to harmonize strategy IS/IT with business strategy, even prowl just pass by innovative technology implementation. In course of strategic plan IS/IT with object of LEPISI College research this, writer uses framework according to Jhon Ward and Peppard. Concept of idea from strategic plan IS/IT from Jhon Ward left from existence of invesment condition IS and TI in the past that less can give benefit for target of organization business, catch business opportunity, and existence of phenomenon growing of competitive excellence organization because can exploit potency IS and IT. Situation is referred can happen because strategic plan IS and TI that out of focus at business, conducted by part that less understand business opportunity, and make only strategy because technology need. The result of research this is the have the shape of proposal of strategy planning framework Information system that can be used at college LEPISI.&#x0D; Keyword: &#x0D; Information system Strategic plan/Information Technology, Methodologies IS/IT
The Maturity Assessment of e-Government in Bandung District Area

In order to achieve better governance of the country, the implementation of e-government becomes essential. The Indonesian government has started to adopt e-government to improve their performance. The implementation of e-government is a continuous process where there are some developments that are often conceptualized in the form of maturity stages. In Indonesia, the implementation of e-government is expected to reach stage 3 of maturity level but in practice, most of the government websites only reach stage 2 of maturity level especially for the practice of e-government in district area of Indonesia. The purpose of this study is to evaluate the maturity level of e-government in Bandung district area. The result obtained from this study is expected to help the government to identify the improvement that should be done to e-government practice in Bandung district area. The result of this study found that from 11 websites of Bandung district area, 9 of the websites reach stage 2 of maturity level while the remaining websites only reach stage 1 of maturity level. Some improvements that can be taken by the government are also discussed in this paper.
E-studies and mastering of educational material for people with visual perception and visual–motor integration problems - topical issues and perspectives

Today educational and study environment is no longer viewed separately from different electronic technologies – the educational system must comply with the tendencies of today electronic era, which also comply with modern people “electronic” daily routine. Educational and study processes must be assessed from the perspectives of use and the development tendencies of various electronic technologies in order to interest contemporary youth in the learning process. The modern educational process and the introduction of information technologies in the remote learning process cannot be viewed separately from the basic processes of the human body and visual perception. Modern technologies motivate to ease not only the learning process but also to analyze learning results in order to develop individual correction plan for every person. This article discusses the causes and possible solutions for ensuring the availability of e-studies and acquiring learning materials for people with visual-motor and visual perception integration issues.
Project Shhh! A Library Design Contest for Engineering Students

Project Shhh!A library design contest for engineering students wondered if
Recognition of Sign Language from High Resolution Images Using Adaptive Feature Extraction and Classification

A variety of algorithms allows gesture recognition in video sequences. Alleviating the need for interpreters is of interest to hearing impaired people, since it allows a great degree of self-sufficiency in communicating their intent to the non-sign language speakers without the need for interpreters. State-of-the-art in currently used algorithms in this domain is capable of either real-time recognition of sign language in low resolution videos or non-real-time recognition in high-resolution videos. This paper proposes a novel approach to real-time recognition of fingerspelling alphabet letters of American Sign Language (ASL) in ultra-high-resolution (UHD) video sequences. The proposed approach is based on adaptive Laplacian of Gaussian (LoG) filtering with local extrema detection using Features from Accelerated Segment Test (FAST) algorithm classified by a Convolutional Neural Network (CNN).  The recognition rate of our algorithm was verified on real-life data.
Panel of Attribute Selection Methods to Rank Features Drastically Improves Accuracy in Filtering Web-pages Suitable for Education

Search engines and recommender system take advantage of user queries, characteristics, preferences or perceived needs for filtering results.In contexts such as education, considering the purpose of a resource is also fundamental.A document not suitable for learning, although well related to the query, should never be recommended to a student.However, users are currently obliged to spend additional time and effort for matching the machine-filtered results to their purpose.This paper presents a method for automatically filtering web-pages according to their educational usefulness.Our ground truth is a dataset where items are web-pages classified as relevant for education or not.Then, we present a new feature selection method for lowering the number of attributes of the items.We build a committee of feature selection methods, but do not use it as an ensemble.A comprehensive evaluation of our approach against current practices in feature selection and feature reduction demonstrates that our proposal 1) enables state-of-the-art classifiers to perform a significantly faster, yet very accurate, automatic filtering of educational resources, and 2) such filtering meaningfully considers the usefulness of the resource for educational tasks.
Analysis of heuristic-based multilevel thresholding methods for image segmentation using R programming

The conventional way in analysing image segmentation algorithms manually is difficult since it requires a lot of human effort in keeping all data for analysis. Various heuristic algorithms are bundled with Otsu's and Kapur's objective function in finding optimal fitness and quality segmentation. In this work Otsu's and Kapur's objective function are bundled with heuristics such as harmony search optimisation (HSO) and electro magnetic optimisation (EMO) to compare the solution accuracy of segmented images In order to statistically analyse such algorithms, an automated tool is developed which takes an input image of any image category under consideration and extracts the segmented fitness values and quality parameters of the image. The extracted values are stored in a central database server constrained with image type, image category, methodology and heuristic used, no of thresholds and quality parameters. The central repository information is fed into data mining and data analytic tools to statistically rank the segmentation algorithms.