Reviewerly/exHarmony huggingface dataset:
PERSEPSI GURU MI KABUPATEN BIREUEN TERHADAP PENGGUNAAN APLIKASI GURU KELAS (AGK) DALAM PENGISIAN RAPOR BERBASIS K-13

This study aims to learn the perception of secondary school teachers in Bireuen, Aceh toward the use of classroom teacher administration (AGK) software in filling out the K-13 based student report cards based. The application helps the classroom teachers fill out student grades effortlessly. This descriptive quantitative study used surveys, in collecting the data, distributed to 60 teachers at 5 secondary schools in Bireuen. The data were then analyzed using descriptive statistics (frequency, average and percentage) to determine teacher perception stages toward the AGK software. The results show that the secondary school teachers in Bireuen had a high perception toward the software. It eased the teachers in filling out the student grades. Therefore, it that secondary school teachers who still out the cards manually are suggested to utilize the software when filling out the student report cards.
Sorting and Ranking of Self-Delimiting Numbers with Applications to Tree Isomorphism

Assume that an $$N$$ -bit sequence S of k numbers encoded as Elias gamma codes is given as input. We present space-efficient algorithms for sorting, dense ranking and competitive ranking on S in the word RAM model with word size $$\varOmega (\log N)$$ bits. Our algorithms run in $$O(k + \frac{N}{\log N})$$ time and use $$O(N)$$ bits. The sorting algorithm returns the given numbers in sorted order, stored within a bit-vector of $$N$$ bits, whereas our ranking algorithms construct data structures that allow us subsequently to return the dense/competitive rank of each number x in S in constant time. For numbers $$x \in N$$ with $$x > N$$ we require the position $$p_x$$ of x as the input for our dense-/competitive-rank data structure. As an application of our algorithms above we give an algorithm for tree isomorphism, which runs in O(n) time and uses O(n) bits on n-node trees. The previous best linear-time algorithm for tree isomorphism uses $$\varTheta (n \log n)$$ bits.
Internet of Things based Blockchain Key Management

Blockchain is collection of blocks process and also Security of Account is needed for private keys. Blockchain is a based Collection of blocks. blockchain in Public Key Infrastructure is utilized and validate the entities. Analysis of current PKI for blockchain and Analysis of blockchain and discussed of wallet key management. Also proposed secure group communication. The acknowledgment should perceived as double-edged sword of software architecture in a blockchain, terms of auditability in allows to achieve benefits, strong integrity protection. also confidentiality achieve in sensitive data over network. come together with characteristics on the other hand they, also permanence, properly considered that need. for example, interaction in personal data, may result particularly critical in blockchain adoption. aslo how to works blockchain transection and different types of blockchain technologies.
THE ROLE OF MOBILE PHONE TRACKING TECHNOLOGY IN CRIME PREVENTION IN KENYA: A CASE OF NAIROBI CITY COUNTY

Technology today has greatly advanced and police officers can now, through mobile tracking technology, locate all calls received at the ICT command center, in turn know the exact location where there is distress, and respond as required. The study sought to the role of Mobile Phone Tracking Technology in crime prevention and how if embraced it can help the national police service in the prevention of all crimes in Nairobi City County. The study design was descriptive incorporating both qualitative and quantitative techniques. From the target population of 694 police officers serving in Langata and Embakasi divisions; the researcher targeted 208 respondents from all the cadres of regular police. Questionnaires were utilized in collecting the Primary data. Quantitative and qualitative methods were used to analyze the data and presented in form of tables and charts. The study found that respondents used mobile phone tracking technology largely in crime prevention. Majority of the police had received training on mobile phone technology crime mapping techniques. However, crime-mapping analysis was conducted as needed though some factors affected respondent’s ability to use mobile phone technology in crime mapping effectively. The study concludes that cell phones applications contributed extensively in compacting crime activities as it contributed to drop in major crimes. The study recommends that in order to help law enforcement officers to have a deep understanding and proper attitude in regards to usage of IT, as policing tools, there needs to be an awareness program put in place. This would give details on the optimistic features of utilizing computers for policing purposes.
An Analysis of an Isolated Assamese Digit Recognition using MFCC and DTW

Audio mining is a growing area of research in the branch of data mining and speaker independent speech processing technique. As a part of audio mining, Keyword Spotting System is used to automatically find the occurrences of keywords of interest in spoken documents. This paper presents an isolated Assamese digit recognition using MFC Coefficient and Dynamic Time Warping classifier. The system is prepared with allowing for performance of a voice handled device in the Assamese language. The accuracy of Assamese digit recognition is calculated through 13-Dimension, 26-Dimension and 39-Dimension MFC Coefficient feature vectors and also exhibits the average accuracy rate based on three-dimensional coefficients of MFC are compared.
Formal Design and Verification of Memory Management Unit Microprocessor

CPU is the core of modern computer system and the foundation of operating system and upper software. Memory management unit (MMU) and cache (Cache) are widely used in modern microprocessor design. They have been improving CPU performance while increasing the difficulties of CPU design and verification. As the structure of today's CPU is more and more complex, conventional design and verification methods such as testing and simulating can't guarantee the correctness of CPU structure designs. In this paper, we present an axiomatic system which could be used to formally describe the CPU structure with MMU and Cache. And we propose a formal method to formally verify an instruction path with MMU and Cache based on this axiom system. Meanwhile we develop an automated verification tool and completed formal verification of 86 MIPS instructions efficiently with the tool.
SMS-based voting system for crisis prone areas in Nigeria

The process of casting a vote in Nigeria is commonly associated with high risk factors such as violence. This singular exercise poses a lot of threat to life and security. In order to reduce these perceived risk factors, this paper proposes the use of SMS based voting system. The SMS based voting system allows voters to cast their vote from the comfort of their home or pre-selected secured area. The system is designed with a third party application programming interface to configure an automated voting result collation, load balancing and concurrency on a real time basis. In comparison with the current mode of voting currently used in Nigeria, the proposed method is cost effective, secured and highly reliable. Keywords: Election Violence, Inec, Sms Voting, Nigeria
The Reliability of Numerical Modeling in Remote Sensing Data Analysis

The article deals with the problem of calculating reliable estimates of empirical distribution functions under conditions of small sample and data uncertainty. To study these issues, we develope computational probabilistic analysis as a new area in computational statistics. We propose a new approach based on random interpolation polynomials and order statistics. Arithmetic operations on probability density functions and procedures for constructing the probabilistic extensions are used.
THE EFFECT OF BRAINSTORMING METHOD ON THE STUDENTS’ READING SKILL IN ELEVENTH GRADE

This study aims to determine reading skill of students in Man Rantauprapat using a brainstorming method. The population in this study were all eleventh grade students of Man Rantauprapat. The sample were XI- IPA-2 And IPA-3 each of which 38 students. The method was used in this study is quasy experiment, data collection and multiple choice test. Data were analyzed using descriptive statistical analysis technique and t-test.Based on analyze data on experiment class for pre-test having average value is 75.92 and post test 34.47 increasing of 63.25% and standard deviation was 0.1365. in control class in pre-test is 35,13 and pot-test 68,68 and having increasing to be 50.88% with standard deviation is 0.1721. From the results of these classes of different test value at significant level α = 0.05 that is t-ccount = 3.475 and t-table = 1.668 by comparing between t-count > t-table or 3.475 > 1.668 it show that H0 is rejected and Ha is accepted and there is the effect of brianstorming method on the reading skill students’ in eleventh grade Student’s At Man RantauPrapat Academic Year 2019 is accepted and the result is show the highest score.
Gabidulin Codes with Support Constraints

Gabidulin codes are the first general construction of linear codes that are maximum rank distance (MRD). They have found applications in linear network coding, for example, when the transmitter and receiver are oblivious to the inner workings and topology of the network (the so-called incoherent regime). The reason is that Gabidulin codes can be used to map information to linear subspaces, which in the absence of errors cannot be altered by linear operations, and in the presence of errors can be corrected if the subspace is perturbed by a small rank. Furthermore, in distributed coding and distributed systems, one is led to the design of error correcting codes whose generator matrix must satisfy a given support constraint. In this paper, we give necessary and sufficient conditions on the support of the generator matrix that guarantees the existence of Gabidulin codes and general MRD codes. When the rate of the code is not very high, this is achieved with the same field size necessary for Gabidulin codes with no support constraint. When these conditions are not satisfied, we characterize the largest possible rank distance under the support constraints and show that they can be achieved by subcodes of Gabidulin codes. The necessary and sufficient conditions are identical to those that appear for MDS codes which were recently proven in [1], [2] in the context of settling the GM-MDS conjecture.
An algorithm of visual odometer based on average gradient

During the movement, the walking robot will rive the depth camera up and down to vibrate, and the movement speed will sometimes be too fast, making the image blurred. We know that feature matching is the link of VSLAM to establish data association. A large number of mismatches will have a significant impact on the system. Once the image is blurred, the entire system will collapse. The purpose of this paper is to set a threshold H to judge the clarity of the image. We choose the algorithm for extracting the feature points according to the clarity of the image. At the expense of a little time, the system can extract more feature points and reduce mismatches in the case of high ambiguity, so as to be more stable for the subsequent calculation of pose and preserves good initial conditions for subsequent map optimization.
Rank Pooling for Image set Based Face Recognition

Image set based face recognition is a very relevant and interesting problem in computer vision. Set based image recognition in general and face recognition in particular is composed of two major components-a) Feature extraction and b) Feature aggregation. Image set based face recognition aims at capturing relevant information from all the images to infer the identity of a person thereby being robust to a variety of situations such as pose, illumination effects, etc. In this paper, we propose a novel approach to feature aggregation for face recognition using multiple images. We build on a robust feature embedding network which maximizes the clustering coefficient in the embedding space and use a novel rank pooling algorithm to infer the identity of a person from an image set. We compare the performance of the proposed algorithm with state-of-the-art techniques in the literature on YouTube Celebrities data set(YTC), YouTube Faces data set (YTF). We show that the proposed algorithm gives a significant improvement in recognition accuracy relative to the existing algorithms in face recognition using image sets.
Evaluating Population Based Training on Small Datasets

Recently, there has been an increased interest in using artificial neural networks in the severely resource-constrained devices found in Internet-of-Things networks, in order to perform actions learned from the raw sensor data gathered by these devices. Unfortunately, training neural networks to achieve optimal prediction accuracy requires tuning multiple hyper-parameters, a process which has traditionally taken many times the computation time of a single training run of the neural network. In this paper, we empirically evaluate the Population Based Training algorithm, a method which simultaneously both trains and tunes a neural network, on datasets of similar size to what we might encounter in an IoT scenario. We determine that the population based training algorithm achieves prediction accuracy comparable to a traditional grid or random search on small datasets, and achieves state-of-the-art results for the Biodeg dataset.
A Class Content Summary Method Based on Media-driven Real-time Content Management Framework

In this paper, we present a class content summary method based on media-driven real-time content management framework. It is important to summarize contents in the class for not only students but also teachers. This method acquires teacher's voice in the class in real time, and generates a summary according to the importance of contents in the class. For generating a summary, this method not only extracts important keywords from acquired teacher's voice but also retrieves legacy contents on the web. This method consists of teacher's voice acquisition, important keyword extraction, and sentence retrieval. This method is based on a media-driven real-time content management framework for interconnection between real world media and legacy media contents. We apply our framework and realize summarize contents system in the class. By this method, it is possible to show a class content summary in real-time according to importance of keywords. This method organizes educational contents for re-use.
Lightweight Secure Technology Future of Internet of Things

The Internet of Things (IoT) is a term which treats all objects around us as a whole, interconnected network. The ‘thing’ in IoT can be a person with a pulse monitor or smart meter to calculate electricity. These ‘things’ must have a unique IP address and able to communicate with other objects over internet without manual intervention. Though these new technologies are overwhelming, they also expose severe IoT security challenges. IoT applications suffer from different types attacks such as eavesdropping attack, spoofing and false data injection attack, man-in-the-middle attack, replay attack, denial of Service attack, jamming attack, flooding attacks etc. During the last decade, many cases of attacking IoT devices were identified. It is a direct threat to our privacy, our conversations everything that sums up our life. While the world today, is moving towards a more secure system, we must be aware of the security lacks and should provide a strong mechanism to defend ourselves against the same. Because IoT is an amalgamation of both Hardware and Software, the issues posed by IoT are also double fold. As hardware concern, objects are lightweight in terms of memory, energy, computing power etc. and as a software concern current security algorithms are designed for high end systems so will not suffice in IoT environment. This leads to the need for lightweight security mechanisms in IoT network. Currently protocols like PRESENT, Clefia, TEA etc. are designed for lightweight encryption but still suffers from Differential Attack, Related key attack etc. Lightweight integrity is also achieved with SHA2, SHA 3, Light-Weight One-way Cryptographic Hash Algorithm(LOCHA), Timestamp Defined Hash Algorithm (TDHA). So there is a need for a whole concrete lightweight system which will remove the shortcomings in the current lightweight encryption and integrity protocols and provides better security.
Tree Data Structures

In this chapter, we will look at a powerful data structure, the tree. The tree is arguably one of the most utilized complex data structure types. Once you understand trees, you will be able to grasp other data structures and algorithms that will be presented throughout the book. In this chapter, we will explore the basics of trees and look at some of the more common tree data structures.
Comparative Analysis of Domains of Technical Steganographic Techniques

While communicating confidential data between transmitters and receiver, it suffers from hacking. Therefore, protective confidentiality has become a really essential issue. Recently, various new techniques developed to guard necessary data. This paper first gives a detailed study of Steganography and then introduces a comparative study of different steganographic techniques. In this paper, we have studied and given the classification of all the steganographic techniques. We have analyzed that steganographic techniques can be compared with the help of different parameters like peak signal to noise ratio, mean square error, and robustness. There exist various types of steganographic methodologies in which some are perplexing in utilized than others technique. Every approach has a few powerful and frail focuses.
Role of logistics and SCM management practises in improving operational efficiency in the retail industry in the UAE

The purpose of this paper is to examine how modern inventory management practices affect the operational efficiency of retail industry and the challenges are faced by them in implementing these practices in United Arab Emirates (UAE). The researcher used quantitative research method and a survey strategy to collect responses from 45 employees working in various departments of the inventory management. Significant driving factors like maintaining accurate inventory and co-ordination between the departments of inventory management were identified through linear regression model. The study findings also revealed that insufficient cash flow necessary for business scale expansion significantly challenges the operational efficiency of retail sector companies in UAE with respect to the inventory management practices imposed and followed by these retail companies.
Comparison of methods for document restoration and character retention and study of Marathi character recognition

Numerous techniques are being explored to digitize physical documents which exist in number of scripts and have accumulated since advent of writing. But what makes it even more difficult is when these documents have been partially destroyed by pigmentation, faded ink, charring etc. Even the slightest change in lighting while capturing the document via photograph can make it difficult for simple text recognition algorithms to extract the data. This paper studies methods to reconstruct the document in such cases where the text is not clearly visible due to lack of sharp contrast or pigmentation. Various existing methods and operations in image processing were investigated and compared which include different types of contrast enhancement, binarization, edge detectors, filters and morphological operators. It has been observed here that combining results of thresholding and adaptive binarization proves as a simple but immensely useful operation to retain maximum text while eliminating the unwanted pigmentation at the same time. The outcomes of methods used have been inspected and weighed up through visual inspection method. Further the paper discusses the steps to digitize documents in Devanagari script; largely used in the Indian subcontinent. Papers suggesting algorithms for Devanagari character recognition have been referred and the possibilities discussed.
Pre-Service Physics Teachers' Ideas about Teaching and Learning Using Smartphones

The teachers in primary and secondary education try to get students to put away their smartphones while in the classroom. It can happen that students use their smartphones to text each other, check social networks, and even listen to the music or watch videos, during instructional time. However, skilled teachers find a way to overcome the problem of these interruptions. They manage to make students use smartphones to support learning. The educators stay divided on the issue of whether students should use smartphones in the classrooms. Pre-service physics teachers at Faculty of Sciences of University of Novi Sad are asked about their opinion whether smartphones should be used in the classroom and their ideas for using smartphones in teaching and learning. Three ideas are presented in this paper: inquiry-based learning, project-based learning and playing Kahoot. Stated ideas indeed can be realized in classroom successfully with the use of smartphones. Different approaches to teaching and learning, including stated, impact students’ performance in physics, as well as their motivation for learning. Moreover, the impact that technology has on today’s schools is very significant. The adoption of technology in education can change both, how teachers teach and how students learn. Accordingly, it can be suggested to implement presented enthusiastic future physics teachers’ ideas in school practice.
Minutea Object Extraction in Fingerprint Image Using Morphological Methods and Gabor Filters

Minutiae is part of the fingerprint, which is the point where the fingerprint line stops or branches, which can be observed by scanning at a resolution of 500 pp. a fingerprint has minutiae that range from 50-100 pieces scattered throughout the surface of the fingerprint. To clarify the fingerprint can be done by extracting the minutiae contained in the fingerprint. With this extraction process, fingerprint images can be clarified, so identification of a fingerprint will be easy to do. This research extracts minutiae objects in the fingerprint image, so that the fingerprint line object can be seen clearly. The first stage in this research is object detection and edge detection using morphological methods. The next step is the extraction of minutiae objects with the gabor filter and minutiae extraction . The results obtained can display the fingerprint line of the fingerprint image clearly. From the results of testing 10 fingerprint images proved that the minutiae object in the image can be extracted, so that the fingerprint line of the image is clearer than the original image
Novel bit-level Adaptive and Asymmetric Data Compression Technique

This paper works on a detailed and per-formative evaluation of a bit-level, adaptive, and asymmetric data compression scheme that is based on the adaptive character word length algorithm.It can be used with statistical compression techniques to increase efficiency.In this mathematical technique, the data word is converted into codewords (Binary form) then the binary coded file is compressed using 8 bits character word length.In this new Algorithm, an optimum character word length b is calculated where (b>8), so that a factor of (b/8) increases the compression ratio.To validate this algorithm, it is used as a complementary with Huffman code to compress a source text file with randomly distributed characters of different frequencies.This scheme is used to compress several text files into smaller bit-level files and can be used to achieve higher competitive skills more than state-of-art tools.