Reviewerly/exHarmony huggingface dataset:
Ontology: Boon for Library and Information Science (LIS) Professionals in Context with Ranganathan’s Laws

Traditional libraries deal only with print material. Presently, advent of computer has changed look of libraries, i.e., library resources, library services etc. All Libraries are transforming from conventional library to hybrid, digital and virtual libraries. Procurement, collection and organization of e-resources are obligatory for libraries to fulfill users’ demand. Ontology is tool to manage information in various domains, forms and formats as well. It facilitates information browsing in different domains and gives precise retrieval. User’s satisfaction is one of the foundations of effective and successful library service. Ontology directs system and people for the sharing of knowledge. Therefore, ontology is becoming popular among industrialist, academicians and research scholars. In 21st century of ICT (Information and Communications Technology) revolution, information generation rate has increased tremendously. LIS professionals are facing challenge of ‘Information Explosion’. Organization and management of enormous information resources is a burning issue for Library and Information Science (LIS) professionals. ICT has changed the appearance of libraries, i.e., information resources, services, demand as well as duties and functions of LIS professionals. Ontology is the technology adopted by LIS professionals to cater better service. Ontology brings simplicity in information sharing and retrieval. Ranganathan’s law of library science always directs LIS professionals to provide library services extensively. Application of ontology in libraries supports to follow Ranganathan’s law in present digital environment and enable s to cater better services to users. Keywords: Ontology, virtual libraries, LIS Professionals, Ranganathan’s laws, ICT Cite this Article Satvashila T. Salgar Ontology: Boon for Library and Information Science (LIS) Professionals in Context with Ranganathan’s Laws . Journal of Advancements in Library Sciences. 2019; 6 ( 27 33 p
Improved bounds for perfect sampling of $k$-colorings in graphs.

We present a randomized algorithm that takes as input an undirected n-vertex graph G with maximum degree Δ and an integer k > 3Δ, and returns a random proper k-coloring of G. The distribution of the coloring is perfectly uniform over the set of all proper k-colorings; the expected running time of the algorithm is poly(k,n)=O(nΔ2· log(k)). This improves upon a result of Huber (STOC 1998) who obtained a polynomial time perfect sampling algorithm for k>Δ2+2Δ. Prior to our work, no algorithm with expected running time poly(k,n) was known to guarantee perfectly sampling with sub-quadratic number of colors in general. Our algorithm (like several other perfect sampling algorithms including Huber’s) is based on the Coupling from the Past method. Inspired by the bounding chain approach, pioneered independently by Huber (STOC 1998) and H'aggstr'om & Nelander (Scand. J. Statist., 1999), we employ a novel bounding chain to derive our result for the graph coloring problem.
Adaptation of Automatic Concentrated Pillar in Coastal Tropic Region

The paper presents a new technique for optimizing the solar irradiation utilization on a PV module. The technique somehow works partly on the principle of the concentrated solar power (CSP) tower. The design of the solar concentrator pillar was described to solve the challenges of solar shading and solar irradiation variability in coastal tropical region. Using meteorological dataset, a theoretical simulation that involves the optimization of the processes using Bessel, Legendre, Chebyshev and Lucas polynomial functions was adequately described. The analysis of the energy expected via the magnitude of solar irradiation was calculated. A maximum energy yield of 120kWhr can be obtained via theoretical analysis. The data is presented for further optimization processes.
Image Salient Object Detection Based on Perceptually Homogeneous Patch

In this paper, a salient object detection algorithm is proposed, which use the local and global information of image, and combine with the spatial relationship between the perceptually homogeneous patch. First, color clustering is carried out on the image, and the image is divided into a set of perceptually homogeneous patches which is non-overlapping. Then, the saliency of each patch is calculated by combining the local and global information of the patch. Finally, the saliency of each patch is enhanced by combining spatial relationship. The proposed algorithm was tested using the largest publicly available data sets, Experimental results show that this algorithm can achieve higher precision and better recall rate, and significantly reduce the impact of complex texture on the calculation of salient patch.
Regularized-Histogram and DWT-SVD Based Image Contrast Enhancement

In this paper, an approach to enhance global contrast as well as highlight the local details simultaneously has been exploited. The approach involves integrating regularized-histogram equalization with discrete wavelet transform - singular value decomposition (DWT-SVD). More precisely, histogram of original image is regularized using logarithmic function to enhance the global contrast of this image. This enhanced image is decomposed into four sub-band images by utilizing DWT followed by the implementation of illumination enhancement on the low-low sub-band image. The final enhanced image is reconstructed by applying inverse DWT. This approach has been collated with histogram equalization (HE), singular value equalization (SVE), DWT-SVD, and a contrast enhancement method incorporating regularized- histogram equalization with DCT. The performance of propounded method over aforesaid methods has been shown by measuring discrete entropy and contrast gain. Simulation outcomes reveal that this method is proficient in producing better images qualitatively as well as quantitatively.
Uji Toksisitas Dan Uji Fitokimia Ekstrak Daun Kedondong (Spondias dulcis Parkinson)

Kedondong Leaf (Spondias dulcis Parkinson) is one of medicinal plants that is grow in Indonesia.This study aims to identify the toxicity of the extract Kedondong leaf (Spondias dulcis Parkinson) and identify the class of compounds contained in the leaf extract Kedondong (Spondias dulcis Parkinson).The method used in this research is BSLT (Brine Shrimp Lethality Test) of ethanol solvent then continued with the solvent fraction of n-hexane and ethyl acetate which is used was 50 ppm, 100 ppm, 200 ppm, 400 ppm, 600 ppm and 1000 ppm which each concentration was made into 2 then added 10 larvae each (Artemia salina Leach).Observation of dead larvae was performed 24 hours after administration of the extract.Mortality data using probit analysis showed that ethanol extract had LC 50 value of 56,4806 ppm, ethyl acetate extract had LC 50 value of 66,9730 ppm and n-hexane extract had LC 50 value of 447,7133 ppm.The results showed that the three phases of extract Kedondong leaf (Spondias dulcis Parkinson) were used are having potential toxic effect on larvae (Artemia salina Leach) because they have LC 50 <1000 ppm and group of compounds extract Kedondong leaf (Spondias dulcis Parkinson) contains alkaloid, compounds, saponins, tannins, phenolic, flavonoids, triterpenoids, steroids, and glycans.
Work-in-Progress: Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks

The hardware security domain in recent years has experienced a plethora of side-channel attacks (SCAs) with cache-based SCAs being one of the dominant threats. These SCAs function by exploiting the side-channels which invariably leak important data during an application’s execution. Shutting down the side channels is not a feasible approach due to various restrictions it would pose to system performance. To overcome such concerns and protect the data integrity, we introduce Sequence-Crafter (SC) in this work. The proposed Sequence-Crafter (SC) aims to minimize the entropy in the side channel leaked information rather than attempting to close the side-channels. To achieve this, we introduce carefully crafted perturbations into the victim application which will be randomly activated to introduce perturbations, thus resulting in misleading information which looks legit that will be observed by the attacker. This methodology has been successfully tested for Flush+Reload attack and the key information observed by the attacker is seen to be completely futile, indicating the success of proposed method.
Face Recognition on Low-Resolution Image using Multi Resolution Convolution Neural Network and Antialiasing Method

Video surveillance applications usually take pictures of faces that have a low resolution (12x12) due to distance, lighting and shooting angles Most of face recognition algorithm have the poor performance accuracy and poor identify face on low resolution.Based on the problem, identifying the face of the query in low resolution, based on high resolution (64x64) proves to be a huge challenge.The aim of this research is to develop a new model for face recognition of low-resolution image in order to increase the accuracy of recognition.A Multi-Resolution Convolutional Neural Network (MRCNN) is proposed to address the problem.First, Antialiasing is used in preprocessing phase, then use MRCNN to extract the feature of the image.LWF (Labeled Face in Wild) will be used to evaluate the model.The result of this study is increasing the accuracy of face recognition on low-resolution image compared to the previous MRCNN model.
Types of Paragraph Writing in the International Journals

The patterns of paragraph writing as commonly used in the international journal are deemed necessary to be studied by scholars of non-English background wishing to write an article for publication in the international journals. Scholars of non-English speaking background, according to a number of research reports on rhetoric contrastive, have a somewhat different approach in their paragraph composition. This difference might create difficulties for the scholars to swing their type of paragraph writing to the one which does not belong to them. Therefore, it is imperative that the scholars of non-English speaking background study the writing convention as commonly used in the international journal. This study sought to identify the patterns of paragraph writing that is commonly used in international journals. For the purpose of this study, a total of 250 paragraphs of the 25 international journal articles were selected for analysis whether the pattern of paragraph is more oriented to deductive or inductive one. Analyses were performed by two raters assisted by a native speaker of English. The results showed that more than 86% paragragh patterns were written using deductive pattern, while the rest, about 11% used inductive pattern, and the remaining 2% used a sandwich pattern.
변혁적리더십과 과업성과의 관계 : 개인-환경적합성의 조절효과를 중심으로

This study examined the effect of transformational leadership on an individual''s task performance. In particular, the moderating effects of person-environment fit were regarded as a contextual factor. The results showed that transformational leadership had a positive impact on an individual''s task performance. Also it has been shown that the relationship between transformational leadership and an individual''s task performance was moderated by person-environmental fits including person-job fit and person-organization fit. In order words, the stronger the perosn-environment fits the stronger the relationship between transformational leadership and an individual''s task performance.This study addressed that transformational leadership has a positive impact on the effectiveness of individual level. These results contributes to expanding the knowledge of existing studies of transformational leadership. Existing studies has shown that transformational leadership had a positive impact on individual attitudes and performance. However, little has been known about the context where the effects could be increased or decreased. The results of the study presented that person-job fit and person-organization fit were critical situational factors which could bring change on the relationship between transformational leadership and its outcomes.This study has practical implications as well as theoretical implications. One is that transformational leadership promotes a sense of common goal. The more they approach problems in various ways, the more they help not only achieve their own goals. The requirements charged to individuals in an organization needs to clearly present specific guidance on the responsibilities and roles given by groups or teams. Additionally, organizations need to make efforts to inform members that individual efforts to achieve common goals can be helpful in personal task performance due to knowledge, information, experience, and know-how acquired through the interaction of the process of trying to gain common goals.Managers need to develop their own leadership competency model. It is possible to design a sub-factor of transformational leadership in the model. With the leadership competency model, managers can design leadership development programs and modify current development programs. Thus, the development of HR analytics techniques contributes to the improvement of individual and organizational performance by more systematically matching the skills, knowledge, experience, achievement, characteristics and abilities required by an organization or team.Although it was supported that transformational leadership has a positive impact on an individual''s task performance, and that person-environment fit can strengthen the relationship, there are several limitations. In this line, this study also presents some agenda for future studies.
Semantic security for quantum wiretap channels

We consider the problem of semantic security via classical-quantum and quantum wiretap channels and use explicit constructions to transform a non-secure code into a semantically secure code, achieving capacity by means of biregular irreducible functions. Explicit parameters in finite regimes can be extracted from theorems. We also generalize the semantic security capacity theorem, which shows that a strongly secure code guarantees a semantically secure code with the same secrecy rate, to any quantum channel, including the infinite-dimensional and non-Gaussian ones.
A Feature-based Approach to English Mandative Subjunctive Constructions

The mandative subjunctive constructions in the Present-Day English seem to be moribund and not as productive as the times prior to Early Modern English. Yet, the recent corpus-based research by many scholars show that American English and British English, respectively, develop their own mandative constructions. This paper, based on some very distinctive morph-syntactic and distributional properties of English subjunctives, provides an analysis of the architectural configuration of the construction, mostly with the feature representing non-factive, ie., [±irrealis]. It is proposed that there be a functional layer sitting in between TP and CP, SubjuctP, and that the feature of [+irrealis], as opposed to [+factivity], percolates up to the subjunctive CP, which makes it a category of distinctive properties. By positing SubjuntP, it becomes easier to account for some intriguing properties such as coordinating Subjuntive clauses, pseudogapping, the unavailability of ‘factive verbs’ in the subjunctive complementation. In this paper, it has been implicated that the mandative subjunctive CP is a defective category due to the relation between licensing X(P) and the subordinate CP via defective T-head.
PENGARUH MOTIVASI BELAJAR TERHADAP KETERAMPILAN MENULIS BERITA MAHASISWA

This research aims to describe the learning motivation and students’ skills in writing news and to determine whether there is an effect of learning motivation on the students’ skills in writing news of the Indonesian Language and Literature Education Program at Universitas Muslim Indonesia (UMI). This research employed quantitative descriptive research which is consisting of two variables, namely learning motivation (independent variable) and news writing skill (dependent variable). The research sample was taken, 30 students. The research data was obtained by the distribution of questionnaires technique about the learning motivation and news writing test. Furthermore, the data were analyzed using descriptive statistical techniques and simple regression tests on the SPSS program. The result shows that students' learning motivation is in a good category. The influence of learning motivation on students’ skills in writing news shows an adequate interpretation. It is proved by the significant value of 0,000<0,05, which means the learning motivation has a significant effect on the news writing skill of Indonesian Language and Literature Education students of UMI. Keywords : learning motivation, writing news
EFFICIENT ROTATOR DESIGN FOR SINUSOIDAL TRANSFORMS 

Transforms are an integral part of any digital signal processing algorithm. Now a days, the real-time systems like Orthogonal Frequency Division Multiplexing (OFDM) or High Efficiency Video Coding (HEVC) requires transforms to be calculated on a very fast basis with significant accuracy. Initially to calculate the basis/coefficients of a transform the techniques like look up table based, CORDIC based are well known. Moving further, CORDIC can be used with shifters to further reduce the complexity. The aim of this said paper is to analyze and implement (creating the architecture) the sinusoidal transforms like FFT/DCT used in many core signal processing algorithms with the required accuracy. Results indicates improvement in the accuracy after 18th order compared to basic CORDIC.
Feature Selection Methods for Classifying Email Messages: Analysis, Proposal, and Comparative Study

Spam Email messages have a big problem either for users or for the Internet service providers.The content of such messages may contain viruses and bad information.The spam messages also occupy a huge amount of space on the mail boxes.So, the process of Emails' classification is very important to be analyzed and discussed.This research work aims at classifying the email messages into either spam or non-spam.The E-mail messages or a dataset can be represented in a matrix form.The rows of the matrix are representing the instances (messages) while the columns are representing the features of such instances.K-Nearest Neighbor (KNN) and Naïve Bayes (NB) are two classifiers where they are used to classify the email messages.The proposed approach based on partitioning the dataset into segment and compared with the adopted approach.Moreover, feature selection methods are adopted to choose the significant features and eliminate the others to avoid processing overheads.The choice of the relevant features plays an important role of the classification accuracy.In this work, some feature selection methods are adopted, analyzed, and operated.The performance of such methods is compared.Moreover, a feature selection method is proposed and discussed.The performance of the proposed feature selection method is compared with the adopted ones.This work is operated on a chosen dataset taken from the Internet.The dataset contains about four-thousand messages with fifty-eight features.Moreover, the dataset is supported with a target feature representing the class labels.From the practical experiments it is shown that the performance of the proposed method is better than the adopted ones.It is also expected that the proposed method is applicable to other datasets for other application domains.
A Study on the Relationship between Self-Efficacy and the Dependence of Smart-phone by Students Majoring in Special Education

본 연구는 특수교육 전공 학생들의 자기효능감과 스마트폰 의존 정도의 관계를 알아보기 위해 특수교육과에 재학 중인 학생 452명을 대상으로 하였다. 수집된 설문지는 SPSS Win 20.0프로그램을 사용하여 통계처리 하였다. 특수교육 전공 학생들의 자기효능감과 스마트폰 사용 척도의 하위 영역에 대해서 평균과 표준편차를 산출하였고, 변인에 따라 차이가 있는지를 알아보기 위해 t-test, ANOVA와 사후검증 방법인 Scheffe를 실시하였다. 연구문제에 따른 분석결과는 다음과 같다. 첫째, 특수교육전공 학생들의 자기효능감은 자기조절 효능감, 과제난이도, 자신감 순으로 나타났다. 또한 학년과 성별에 따른 자기효능감은 통계적으로 유의미한 차이가 나타났다. 둘째, 특수교육전공 학생들의 스마트폰 의존 정도는 일상생활장애, 내성, 금단, 가상세계지향성 순으로 나타났다. 또한 학년에 따른 스마트폰 의존 정도는 통계적으로 유의미한 차이가 나타나지 않았으나 성별에 따라서는 유의미한 차이가 나타났다. 셋째, 자기효능감과 스마트폰 의존 척도 간의 관계는 부적인 상관관계가 나타났다. 상관관계를 나타낸 하위변인은 일상생활장애와 금단이다. 또한 자기효능감 안에서도 자기조절 효능감이 높을수록 일상생활장애, 가상세계 지향성, 금단에서 정도가 낮은 것으로 나타났다. 이는 자기조절 효능감이 높을수록 스마트폰 과의존이 낮다고 볼 수 있다.This study was conducted on 452 students attending special education departments to find out the relationship between self-efficacy and the dependence of smart-phone by students majoring in special education. The collected questionnaire was statistically analyzed using the SPSS Win 20.0 program. The average and standard deviation were calculated for the self-efficacy of students majoring in special education and sub-area of the smart-phone usage scale, and t-test, ANOVA, and the post-verification method, Scheffe, were conducted to see if there were any differences depending on the variables. Analysis results based on research problems are as follows. First, the self-efficacy of special education major students was shown in order of self-control efficacy, task difficulty, and confidence. In addition, there were statistically significant differences in self-efficacy with respect to grades and gender. Second, the degree of dependence on smart-phones by students of special education majors was shown in the order of daily life disability, tolerance, withdrawal, and virtual world-oriented. In addition, there were no statistically significant differences in the degree of dependence on smart-phones over grades, but significant differences were seen depending on gender. Third, the relationship between self-efficacy and smart-phone dependency measures has emerged as a negative correlation. The sub-variety of the correlation is everyday disorders and prohibition. Also, the higher the self-regulation efficacy, the lower the degree of daily disorders, virtual world orientation, and prohibition. This can be seen as the higher the efficacy of self-restraint, the lower the excessive dependency on smart-phones.
Pauli Brattico: Word Order and Adjunction in Finnish

Pauli Brattico’s book Word Order and Adjunction in Finnish discusses the so-called free word order in Finnish. In his book Brattico’s starting point is Holmberg & Nikanne’s (2002) paper on the word order in Finnish finite sentences. The syntactic model Brattico is following in his analysis is Chomskyan minimalist theory.
Risks of using naïve approaches to Artificial Intelligence: A case study

In recent years, there has been a push in the Artificial intelligence (AI) field to simplify the application of machine learning so that its use can be more widely adopted. While this reduces barriers to entry for AI and machine learning, they also introduce the risk that persons or organisations with insufficient expertise will have the ability to use these systems to make decisions that have a significant impact on society based on discriminatory factors. Implementers and decision-makers need to have a good understanding of the features that the system might use and infer from to make predictions, and how these can affect their stakeholders. In this paper, we outline the risks of this phenomena occurring in a specific case – the application of machine learning applied to secondary school student grades. We demonstrate that naive approaches can have unanticipated consequences and can generate predictions based on discriminatory factors such as gender or race. The impact of the application of such flawed decisions in matters such as awards, scholarships etc. could entrench detrimental bias in the education systems.