Reviewerly/exHarmony huggingface dataset:
IMPLEMENTASI SISTEM INFORMASI PENDUKUNG AKREDITASI BERBASIS WEB PADA PRODI TEKNOLOGI INFORMASI UIN AR-RANIRY

The supporting documents for accreditation forms are the most important part in the accreditation submission process. Otherwise the process of finding and collecting documents supporting accreditation forms are still done manually. This study aims to design the information systems which supports web-based accreditation in Department of Information Technology UIN Ar-Raniry. The designing process refered to regulation of National Accreditation Board for Higher Education and followed the latest instrument in 4.0 version. The application has namely SIDASI 4.0. The research method of this study is the Rapid Application Development (RAD) process which uses the PHP programming language and MYSQL as database engine. SIDASI 4.0 can only be accessed by users who have already registered and obtained an account as username and password. The SIDASI 4.0 have support the accreditation submission phase as the digital documentation forms.
Generalized Labeled Multi-Bernoulli Filter Using Spectral Matching

To reduce the cardinality bias in multi-target tracking, a novel multi-Bernoulli filter called spectral matching based generalized labeled multi-Bernoulli filter is derived. By introducing the spectral information of target in update step, the proposed filter can improve tracking performance. Under the same assumption as the GLMB and CPHD recursion, the proposed recursion is unbiased in cardinality estimation. In addition, a sequential Monte Carlo implementation is proposed. Simulation results show that the proposed filter has better performance in target state and number estimation than GLMB and CPHD filter.
On the English-Korean Translation of the Past Tense in Complex Sentences

The purpose of this paper is to investigate whether the general assumption that English past tense –ed is translated into Korean–ess holds even in complex sentences. For this purpose, this paper studies past-tense translation cases in complement clauses, time adjunct clauses, reason･cause clauses, and coordinate clauses: the study of complements reveals that –ed is translated into either –ess or a present tense depending on the reading (past-shifted vs. simultaneous) due to SOT (Sequence of Tense) parameter (Ogihara, 1996). On the other hand, the study of other clauses shows that the past-shifted reading of -ed does not always lead to –ess but sometimes leads to tenseless ‘ϕ’. Moreover, –ess does not necessarily result in the past-shifted reading but rather brings about various semantic effects such as episodic reading when it is combined with the existential bare plural. This paper concludes that English –ed is not always translated into Korean –ess, the translation being affected by SOT parameter, the types of connective, and semantic interpretation.
Video Calling with Augmented Reality Using WebRTC API

The world is advancing with Augmented Reality (AR) and Virtual Reality (VR), along with this connecting people all over the world has taken a hike growth using various mobile applications for text messaging, voice and video calling. Augmented Reality, Virtual Reality and Mixed Reality has become a piece of everyday life with the development of technologies like Computer Vision, Machine Learning, Artificial Intelligence, mobile computing, sensing technologies, graphics, etc. This paper proposes an approach of incorporating these XR technology in communication for people by augmenting the person talking to other person in his real environment through machine learning algorithm by detecting and scanning the person removing the background using semantic segmentation which will then be augmented in another person’s living room using their mobile devices and the communication will take place using open source WebRTC APIs. Using the Semantic Segmentation, a Deep Learning technique, which will be used to separate the foreground from the background and perform the additional framing of window for smooth and beautiful experience while augmenting it to another person’s environment. This user experience of Augmented Reality in Video Calling can become a new standard for communication and will make another level of digital interaction with others across the world.
THE EFFECT OF TELEVISION REPUBLIC OF INDONESIA (TVRI) ENGLISH PROGRAM ON STUDENTS' LISTENING SKILL AT GRADE X OF SMK SPP NEGERI ASAHAN ACADEMIC YEAR 2014-2015

The objective of study is instented to examine the student’s listening skill used Television Republic of Indonesia (TVRI) English Program.The objective of the research is to find students’ listening skill through the use of Television Republic of Indonesia ( TVRI) English Program.The research was conducted in the X class of SMK SPP Negeri Asahan in Academic Year of 2014-2015.The number of sample is 35 students. The data of this study obtained from collecting the data.The reason choose this tittle because the researcher to know the effect by using Television Republic of Indonesia (TVRI) English Program of students.Finally the research concludes the data analysis that used Television Republic of Indonesia (TVRI) English Program to the students ability is in medium level.The research has suggestion that the teacher should help the students to improve the new vocabulary and pronunciation in English.So,used various media is very important in doing practice for make the students more interested and give motivate in study. Key words: Effect, Television Republic of Indonesia (TVRI) English, Program, Listening Skill.
Open by Default: Electronic Theses at LSHTM

Presentation made at Copyright for Repository Administrators: Open Access, Theses and GDPR.
Hill Algorithm Decryption using Parallel Calculations by Brute Force

Hill coding, based on linear algebra, by the American mathematician Lester S. Hill in 1929 in this method we use a square matrix A of integers as a key, which determines the linear transformation Y = A * X where Y, X they are the column vectors.Using this encryption method, a text was encrypted to later decrypt it with the use of brute force, that is, to test each of the possible combinations of keys to find the original text in this article.A 2x2 key was used to encrypt the text with a limit from 1 to 256 for each element in the matrix 256 x 256 x 256 x 256 permutations were found that is 4,294,967,296 possible keys for this decipher this text as it can be clearly seen there are too many operations to perform that can consume a considerable time for the CPU since he must decipher the text for each of these combinations and find the correct one, that is why to do this arduous task, parallel programming was used to generate each of the keys and work with each one of them.
Nanosyntactical Approach to Korean Negations

The purpose of this study is to explain Korean negations using the nanosyntactical method, in which even lexical items can be explained by the syntactically designed tree diagram. Unlike this approach, in DM the lexically related alternations are considered exceptions beyond syntactic boundary. According to Chung (2007) following DM framework, short-form negations must be an adverbial element located under the syntactic node, NegP. He maintains that the adverbial aspect of short-form negation grammatically allows short-form negations to appear in the sentence with NIPs element. Also, in the same research, ‘molu- (do not know)’ is counted as a lexically inserted expression resulted from the combination of two inter-fractions like ‘not’ and ‘know’. In this paper we will reanalyze the logical explanations more in detail. And, the nanosyntactical approach with the redesigned syntactic structure comprised of the nodes such as T<SUB>Neg</SUB>, Foc<SUB>Neg</SUB>, Class<SUB>Neg</SUB> and Q<SUB>Neg</SUB> will be applied to refute the viewpoints. Thus, the properties of short-form negations and other negative prefixes can be accounted for more successively by arranging them under the disparate nodes like Q2<SUB>Neg</SUB> and Q1<SUB>Neg</SUB> respectively.
Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data

Deep learning with convolutional networks (DCNN) has established itself as a powerful tool for a variety of medical imaging tasks. However, DCNNs in particular require strong monitoring by expert annotations, which cannot be generated cost-effectively by laymen. In contrast to manual annotations, the mere availability of medical volume data is not a problem.
Investigations of speech segmentation: addressing the writing bias in language research

We address the problem of defining universal processes of speech segmentation in view of criticisms that conceptual linguistic units derive from western writing.A synthesis of our recent experimental studies is presented bearing on processes of serial-order and rhythmic grouping.First, on how serial-order operates, we use EMG and speech-motion data to show that "consonant-vowel" orders reflect contraction-relaxation cycles (not separate segments).Second, on how sequences of sounds come to form units in language learning, we discuss behavioural data suggesting a link between rhythm groups in speech and grouping effects on memory of speech sounds.Preliminary EEG data is then presented to substantiate the view of an on-line parsing of rhythm groups with effects on memory traces of lexemes.
VoVo: A Hybrid Requirements Prioritization Technique in Scrum-Agile Environment

Requirements prioritization is a crucial process in Requirements Engineering.  However, selecting an appropriate technique in Scrum-Agile environment which can satisfy a quality factor such as scalability, effectiveness and efficiency can be difficult. Moreover, it becomes much more difficult if the stakeholders are distributed in different places and most of stakeholders tend to neglect this activity. This paper will proposed VoVo technique, a hybrid requirements prioritization technique which combined cumulative voting and Volere techniques. VoVo offers a structurally guided prioritization technique which can encourage user participation in prioritization process and also can mitigating the scalability issues especially in geographically distributed project. This hybrid technique is using two tiers prioritization process where in the first tier, the prioritization will be done by stakeholders while in the second tier requirementss will be prioritized by an experts usually a scrum master or project manager. The implemented VoVo has been evaluated through evaluation survey which addressed directly to scrum practitioners. Its suitability and effectiveness in managing and prioritizing requirements in Sprint Backlog will be measured based on testing and evaluation survey feedbacks. Hence, we conclude that VoVo technique is suitable to be used for managing and prioritizing requirements in Scrum project.
Identifying and Validating the Competencies for the Key Jobs in the Iranian National Tax Administration during the Implementation of the Tax Comprehensive Plan

Identifying and Validating the Competencies for the Key Jobs in the Iranian National Tax Administration during the Implementation of the Tax Comprehensive Plan
Crypto-System: A Modified Ceaser Cipher

An essence of cryptography is to ensure safe and secure information transfer and receive. Its widespread use in client server communication with various modalities and effectiveness has overcome the adversities in terms of masquerading, phishing, threats and viruses. While implementing messaging system across the platform for chat, message passing and sharing. The proposed system has been successfully designed to address good use of messaging system between client and a server that has shed a good amount of overhead in terms of calculation, time and effectiveness in the algorithm due to its easy to make and inexpensive comparatively to other existing utilities. The system works with the combination of different algorithms like the key generation algorithm based on Diffie-Hellman key and modified Ceaser cipher algorithm for encryption and decryption. The encryption of messages that need to be transferred uses ASCII values of each character and modulate it to generate cipher text which is further converted back to the original character. Plaintext is the data that need to be protected during transmission, thus this paper presents results of the crypto-messenger as a tool to showcase practical implementations of information security using Cryptography.
Some Statistical Characteristics of the Trihalomethanes Content in Drinking Water of Infiltration Water Intake

The article deals with statistical processing of monitoring data for the content of trihalomethanes in drinking water of one of the infiltration Ufa water intakes. Using the methods of mathematical statistics, the following parameters were revealed: the distribution density of the total content of trihalomethanes in drinking water, the likelihood of occurrence of adverse events associated with the formation of trihalomethanes as a result of the chlorination of drinking water. As a result of the analysis, it was found that the most common concentrations of the total content of trihalomethanes lie in the range 5.8-8.1 μg / dm3. It was found that the distribution density of the total concentration of trihalomethanes is described by the power dependence ρ (TGM) = 0.348 × Q-2.18 (confidence level R2 = 0.94). It was concluded that the situation at the selected infiltration water intake can be considered favorable, since with a probability of 99%, the total concentration of THM does not exceed 18.03 μg / dm3 with an available maximum concentration of 100 μg / dm3.
Optimization of Hopfield networks for storage and recall: A decade Review

Pattern storage and recall in an efficient and effective manner is a prominent task in the pattern recognition field. Recurrent (also called feedback) networks are most frequently used network that can store and recall the patterns. Recurrent networks have a capability of recalling noisy or partial patterns like brain. A detailed study of different neural network, it is found that Hopfield neural network outperforms as compared to others. In this paper, we illustrate the review of a decade on optimisation of Hopfield neural network to improve storage capacity and recalling of patterns.
A Clone Code Detection Method Based on Software Complex Network

This paper introduces complex network into software clone detection and proposes a clone code detection method based on software complex network feature matching. This method has the following properties. It builds a software network model with many added features and codes written with different languages can be detected by a single method. It reduces the space of code comparison, and it searches similar subnetworks to detect clones without knowing any clone codes information. This method can be used in detecting open source code which has been reused in software for security analysis.
The Effectiveness of Audio-visual Media to Improve Students’ Writing Ability of Procedure Text

As writing is regarded as the most difficult skill, it is very challenging for teachers to teach writing. In order to conduct a good writing class, the application of media can be one of the alternative ways. This study examines the effectiveness of using audio-visual media to write a procedure text. This is a quasi-experimental study. The population of this study was the ninth graders of MTs Negeri 1 Landak and the sample was the students of IX-A and IX-B. The method of collecting data was test and field note, while t-test was used to analyze the data. The analysis of writing test uses the components of writing namely organization, grammar and mechanics. The result shows that the students’ average of experimental group is higher that control group and the result of t-test gains that tvalue  > ttable = 7.05 > 1.99.  In addition, the use of media also could improve the students’ writing ability. Finally, this media is effective to use in writing procedure text and the use of media would be useful for teachers and students.
Developing English Material of Agriculture for 7th Grade Students of SMP Plus Al-Mubarak Kalisat, Jember

A lot of seventh grade students of SMP Plus Al-Mubarak found many problems in understanding their English instructional materials. Designing English Materials of Agriculture for students in SMP Plus Al-Mubarak Kalisat, Jember can motive them in learning English better. Concerning these problems, a set of suitable instructional materials of English for the students of SMP Plus Al-Mubarak needed to be developed. In addition, instructional materials should facilitate the students to enrich their experience, build their knowledge, and construct their comprehension. The instructional materials should consider where the student’ life, culture, background, interest, and their ability. The procedures being employed in this study were RD (Research and Development); collecting information, developing instructional materials, conducting expert validation, revising the materials, finishing the submitted product. (Adapted from Borg and Gall’s Model, 1983). To collect relevant information for a basis of developing materials, the interview with the teacher and students and classroom observation were carried out to complete the information provided in the existing materials. The product of this research is five units of English materials of agriculture which focuses on second semester.
STUDENTS’ VOCABULARY MASTERY TAUGHT USING HANGAROO GAME AND WORD JUMBLE

Abstract. This research is to see the implementation of Hangaroo Game and Word Jumble to build the students’ vocabulary mastery. The method used is quasi-experimental research. There were students of SMP Negeri 9 Banjarmasin as the sample. As the result, the students from both classes had limited comprehension on vocabulary proven by the students’ score of pre-test. The class of experimental yielded the mean score of 20,19. The mean score was 17,29. The final result of the research was determined after the researcher had acquired the t-test result. It is found that there was no difference of students’ vocabulary mastery taught using Hangaroo Game and students taught using Word Jumble. For further research, it is hoped to be more curious and innovative to choose other media that can be used to aid the students’ vocabulary mastery. Keywords: score, Hangaroo Game, Word Jumble, vocabulary, vocabulary mastery, Lexicogrammatical
A Peak Prediction Method for Subflow in Hybrid Data Flow

Subflow prediction is required in resource active elastic scaling, but the existing single flow prediction methods cannot accurately predict the peak variation of subflow in hybrid data flow. These do not consider the correlation between subflows. The difficulty is that it is hard to calculate the correlation between different data flows in hybrid data flow. In order to solve this problem, this paper proposes a new method DCCSPP (subflow peak prediction of hybrid data flow based on delay correlation coefficients) to predict the peak value of hybrid data flow. Firstly, we establish a delay correlation coefficient model based on the sliding time window to determine the delay time and delay correlation coefficient. Next, based on the model, a hybrid data flow subflow peak prediction model and algorithm are established to achieve accurate peak prediction of subflow. Experiments show that our prediction model has achieved better results. Compared with LSTM, our method has decreased the MAE about 18.36% and RMSE 13.50%. Compared with linear regression, MAE and RMSE are decreased by 27.12% and 25.58%, respectively.
Object Counting Based on Its Panoramic Image Representation

This paper proposes a new object representation using a panoramic image and addresses a SIFT-based matching approach for counting the number of this object in an image. The proposed object panoramic image records the texture information of the object from all (360- degree) directions. Using it as a reference for finding the same object in another image involves the task of feature matching between a cylindrical panoramic and a planar view of the object. The main advantage of using this object representation is that it is possible to derive the orientation information of the detected object in the image. Preliminary experiments were conducted to verify the proposed algorithm.
SOCIAL DILEMMA OF THE MAIN CHARACTER IN THE NOVEL THE HEIR BY KIERA CASS

In this thesis, the problem discussed focuses on the influence of the social dilemma of the main character in the novel The Heir by Kiera Cass. Eadlyn's dilemma was a problem she faced in her own family that forced her to complete The Selection and her dream of becoming a royal ruler. This research uses descriptive analyst method, based on the psychological approach of ID, ego, super ego and research techniques based on library research. The results of the research prove that dilemma can influence the decision of the main character that makes the main character sacrifice her dreams to her parents for the sake of the kingdom rather than her own desires. The dilemma of exogenous factors experienced by the main character in the novel The Heir by Kiera Cass has a greater role in influencing decisions taken by the main character and it also affects the social life of the main character in the form of conflict between the main character and her family and changes in her nature, from being stubborn to being caring and compassionate.Keywords: dilemma, conflict, main character
HC Libraries: Criminal Justice: Credo Topics & General Information

This guide contains library resources and internet links for doing research in the criminal justice field.
The implementation of statistical word prediction algorithm in Tigrigna Word Prediction system text entry on android phone

Text entry techniques are used to improve the interaction between the user and the handheld devices like smart phone, PDA,tablets, among other mobile devices. Text entry in these devices could be either predictive or non-predictive. Word prediction is a natural language processing problem that tries to predict the accurate or most appropriate candidate word in a given context. The conventional prediction systems use word frequency lists to complete intended words which the user wants to write.Few researchers address Word Prediction Model for different language using a lexicon. However, as far as the researchers of this study are concerned no work is done to address word prediction system for Tigrigna text entry method. In this work,the researchers proposed for Tigrigna language a Tigrigna Word Prediction System for text entry on Android phone. They also usedsimple design method to sort the complete lexicon into their frequency order.There were 430,379 distinct Tigrigna words used to create the database and each word is sorted based on the frequency for predicting the word. The method is implemented and measured using 400 distinct words.To test the validity of the word prediction model and the algorithm design, an experiment was conducted to measure the accuracy of the word prediction and keystroke saved. The result of Prediction accuracy was 91.6%; and the keystroke saved was 48.9%. Thisshowed that the method was effective in predicting the correct words, reduced the input burden of writing Tigrigna words on smart mobile phone by saving the keystroke.The researchers based on findings, conclude, thatTigrigna Word Prediction System using Statistical Word Prediction Algorithm using Frequency for text entry is useful for Tigrigna language users to write Tigrigna texts on mobile phone.Keywords: Algorithm, Tigrigna, Prediction, System, Text, Android. Phone