Reviewerly/exHarmony huggingface dataset:
Energy Aware Load Balancing Fault Tolerant Mechanism for Enhancing Reliability of Cloud

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Remedial Solutions to Improve the Efficiency of Knowledge Based Systems

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Evolution of Internet of Things Enabling Technologies in the Field of Healthcare Service

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Applying Think-Pair-Share Model in Vocabulary Learning

This research aims at finding out whether thinkpair-share model of learning can be applied to improve the vocabulary mastery of the second semester of PAI 1 FTIK IAIN Palu. The researcher focused the vocabulary learning with the objectives: 1) to know the meaning of the words; 2) to know the pronunciation of the words; 3) to know the category of the words; and 4) to know how to use the words in sentences or contexts. The subject of this research was 20 students of the second semester of PAI 1 FTIK IAIN Palu. This was a classroom action research which was done in two months. The researcher applied two cycles during the research. The result of the research shows that the application of think-pair-share model can improve the vocabulary learning of the the second semester of PAI 1 FTIK IAIN Palu. This can be proven by the increase from 8 students (40%) in cycle 1 to 15 students (75%) who got score greater than 75 of 20 students in cycle 2. The treatment was stopped after 75% of the classical achievement has met the criteria of success. Therefore, the application of think-pair-share technique was effective to improve the vocabulary mastery.
PROGRESSIVE WEB APPS UNTUK REKAYASA HYBRID APPLICATION BERBASIS TEKNOLOGI MEAN STACK

The main obstacle in making a mobile app is the variety of platforms and operating system versions of mobile devices, as a result the application must be adjusted accordingly. In a long period of time web programming techniques have developed into progressive web apps that can be used for hybrid apps. Hybrid application is an application that can run on many platforms. MEAN Stack technology can be used to produce a good hybrid app. The Ionic framework can be used to implement MEAN Stack technology to produce a hybrid app that is easy and stable. Keywords : Progressive Web Apps, Hybrid Application, MEAN stack
A Case Study on ‘Art Classes’ Approach in Holistic Paradism

본 연구는 2015 개정 미술과 교육과정에서 중시되고 있는 ‘미술 문화 이해 능력’을 홀리스틱 패러다임의 교육에서 적용을 위한 기초적 배경과 실천적 사례를 탐구한 것이다. 홀리스틱 교육의 배경과 필요성, 미술 교육과의 연관성을 고찰 한 후, 서양 미술사를 중심으로 한 프로젝트 수업의 실천 사례를 통해 교육 방안과 의미를 탐색하였다. 급변하는 사회의 흐름 속에서 교육은 더 이상 단편적인 교과 지식을 가르치는 것이 아니라 기초 소양과 학력을 배경으로 서로 통합하고 융합하여 새로운 지식을 재생산하는 방향으로 변화하였다. 또한, 홀리스틱 교육은 과거 서구의 이성 중심의 세계관에서 벗어나고자 하는 대안에서 시작한 교육운동으로 ‘전체성’이라는 전제에서 유기적 관계 속에서 세상을 이해하고 통합과 협동, 변용의 과정을 거치며 끊임없이 새로움을 추구한다는 점에서 현재의 교육 흐름과 그 맥락을 같이 한다고 할 수 있다. 이 관점에서 출발하여 연구자는 서양 미술사에 기초하여 수업을 설계하고 실천하였다. 이 사례에서 학습자는 과거와 현재와의 관계, 자신과 타인과의 관계. 자신과 환경과의 관계를 체험할수 있었고, 이 과정에서 삶과 배움을 연결하고 타인을 이해하며 관계를 통해 자발적 참여를 보여 주었다. 이를 통해 학습자는 미술 문화를 단순히 지식으로 받아들이는 것이 아니라 생활의 측면으로 받아들이며 자신의 삶과 문화를 향유하는 능동적 주체로 자리 잡을 수 있었다.The purpose of this study is to explore basic background and practical examples for applying the use of ‘the ability to understand the culture of art’ which is emphasized in the 2015 Revised National Curriculum of art to the holistic educational paradigm. After examining the background, the necessity of holistic education and its relation to art education, the researcher studied the educational plan and its meaning by practicing project teaching method in Western art history class. In this rapidly changing society, education has shifted to cultivating the ability to combine and integrate standardized knowledge using one’s classical knowledge and academic background in order to reproduce new knowledge from delivering fragmented knowledge of a subject. In addition, holistic education is an educational movement that started as an alternative to the reason-centered world view of the West. In a similar vein, the current educational trend aims to understand the world in organic relationship on the premise of ‘holism’ and constantly pursue newness through the process of integration, cooperation and transformation. From this perspective, the researcher designed and practiced classes based on Western art history. In this example, the learners were able to experience the relationships between the past and the present, their connection to others and to environment. They also linked their life to learning, understood others and presented voluntary participation in the process. Through these, the learners succeeded in becoming active agents to enjoy their life and culture, accepting art culture not simply as knowledge but as a part of their life.
Robust Object Tracking Via Low-Rank and Reverse Fused-Lasso Regularization

Object tracking via low-rank and sparse learning easily exists the following problems: 1) requiring to solve a lot of l 1 optimization problems, which is time-consuming. 2) usually occurring tracking drift when facing object abrupt motion. Therefore, a low-rank and reverse fused-lasso regularization based object tracking algorithm is proposed. Firstly, convex low rank approximation based on the nuclear norm is used to constraint the correlation of the candidate particles, so as to remove the uncorrelated particles. Secondly, fused lasso regularization is introduced to the object tracking, minimizing the absolute value sum of the sparse coefficient difference, which can restrict the object appearance with little difference between the consecutive frame, but allow the greater variation between individual frames, so as to adapt object abrupt motion. Thirdly, an inverse sparse representation formulation is built for object appearance, using candidate particles to represent the target template inversely, simplifying the computation for online tracking. Experimental results show that the proposed algorithm performs favorably against state-of-the-art methods, especially for object abrupt motion.
A Study on Language Computations by preserving them as audio Documents

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Impact of Network Scenarios on Quality of Experience using TRIANGLE Testbed

The TRIANGLE project aims at building a 5G testing framework that can allow end-to-end Quality of Experience (QoE) evaluation for new mobile applications and devices. An important task in building such a testbed is the definition of network scenarios which should cover as many user conditions as possible. This paper presents the general testbed framework and the identified network scenarios. An analysis of the number of iterations needed to achieve stable results has also been carried out and shows that the required iterations depend on the network scenario and the traffic profile. A case study of a content streaming application (Exoplayer) with focus on the user experience domain is presented. The measurement results show that the network scenario has significant impact on the measured Key Performance Indicators (KPIs), which sheds some light on how propagation channel models and radio resources will influence the overall application/service performance.
A General Perspective of Big Data Analytics Algorithms, Tools and Techniques

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Improved Image Retrieval Algorithm of GoogLeNet Neural Network

How to search images people are interested in quickly and accurately among large-scale image and video data becomes a challenge. The proposed deep learning combined with the hash function retrieval method can not only learn the advanced features of the image to eliminate the need to manually design the feature extractor, but also reduce dimension to improve the retrieval effect. Firstly, improve GoogLeNet neural network to extract the high-level features of pictures. Secondly, add the hash function hidden layer at different levels of the network to make up for the lack of detailed information of high-level features, and fuse the different features of the image to generate hash binary encoding with certain weights. Finally, the images are sorted by similarity according to the Hamming distance and the method would return similar images. The experimental results show that the proposed method has a significant improvement in accuracy and efficiency on the CIFAR-10 and NUS-WIDE datasets.
Detecting and Identifying Real and Decoy Tanks in a Computer Screen: Evidence from Stimuli Sensitivity and Eye-Tracking

In a modern warfare as well as in reconnaissance operations it is on one hand highly important to hide and protect own troops but on the other hand find and target the enemy. Target identification is often based on visual examination of video or still images produced by for example by Unmanned Aerial Vehicles (UAVs) or other means of Intelligence, Surveillance, and Reconnaissance (ISR). In the present study we examined the perception, detection and identification of real and decoy tanks among a total of 28 participants using reaction time tests and eye-tracking recordings during categorizing tasks of images of tanks (real vs. fake; without vs. with camouflage). We found, among other things, that fake and camouflage images of tanks as compared to real and non-camouflage images decreased identification speed. We also found that camouflage images elicited more attention shifting between image and background as compared to non-camouflage images. We argued that this is probable due the fact that as camouflage blurs the image contour and sharpness people seek cues for categorization by switching between image and background. The results are important in understanding the perception and identification of military visual objects in displays and can be used for example in optimization of decoys as well as, in connection with detection, configuring display settings.
A Survey On Opinion Spam Detection Methods

Since the past decade, fake Reviews also known as Opinion spam has plagued the e-commerce sector around the world. Opinion spam is considered extremely harmful as it can be used to control the sentiment of a product or service, which in turn can be used to damage the sales and reputation of a company. Throughout the years, extensive research has used Natural language processing for extracting textual features and use them with various machine learning algorithms for opinion spam detection. Majority of the reviewed literature has focused on supervised learning techniques using artificially crafted datasets. The purpose of this paper is twofold: to analyze the various machine learning techniques that have been proposed in the extant literature for detecting opinion spam and compare their accuracies, to provide further insights for future researchers in the field of opinion spam detection. This survey has concluded that semi-supervised techniques using multi-aspect features of reviews, reviewers, and products can provide a better result in spam detection. Furthermore, the lack of accurately labeled datasets presents a major challenge in the field of Fake review detection.
Visual Search in children: What we know so far, and new challenges in the real world

While we have a very substantial body of research on visual search in adults, there is a much smaller literature in children, despite the importance of search in cognitive development. Visual Search is a vital task in everyday life of children: looking for friends in the park, choosing the appropriate word within a word-list in a quiz at school, looking for the numbers given in a math problem... For feature search (e.g. “pop-out” of red among green), it is well-established that infants and children generally perform similarly to adults, showing that exogenous attention is stable across the lifespan. However, for conjunction search tasks there is evidence of age-related performance differences through all stages of life showing the typical inverted U shape function from childhood to older age. In this talk I will review some recent work and present new data showing that different mechanisms of selective attention operate at different ages within childhood, not only at a quantitative level but also qualitatively. Target salience, reward history, child-friendly stimuli and video-game-like tasks may be also important factors modulating attention in visual search in childhood, showing that children’s attentional processes can be more effective than has been believed to date. We will also show new results from a visual search foraging task, highlighting it as a potentially useful task in a more complete study of cognitive and attentional development in the real world. This work leads to better understanding of typical cognitive development and gives us insights into developmental attentional deficits.
Kerr Combs and Telecommunications Components for the Generation and High-Dimensional Quantum Processing of d-Level Cluster States

Large and complex optical quantum states are a key resource for fundamental science and applications such as quantum communications, information processing, and metrology. In this context, cluster states are a particularly important class because they enable the realization of universal quantum computers by means of the so-called `one-way' scheme, where processing operations are performed through measurements on the state. While two-level (i.e. qubit) cluster states have been realized thus far, further boosting this computational resource by increasing the number of particles comes at the price of significantly reduced coherence time and detection rates, as well as increased sensitivity to noise. In contrast, the realization of d-level (with d > 2) cluster states offers the possibility to increase quantum resources without changing the number of particles, enables the implementation of efficient computational protocols, as well as coincides with a reduction in the noise sensitivity of the states. Here, we experimentally realize, characterize, and perform one-way processing operations on three-level, four-partite cluster states formed by two photons in the time and frequency domain. We make use of a unique approach based on integrated photonic chips and optical fiber communications components, enabling scalable, deterministic new functionalities.
Design and Implementation of Server Management System Based on Docker

Nowadays, almost all applications store data on servers, and servers provide a wide variety of services. Due to differences in the development environment during development, testing, and production, traditionally building services directly on the server may lead to application deployment failures. In such cases, it is particularly important for the server to have a private service management system. Aiming at a series of problems in current environment construction including server deployment, this paper proposes a method of using Docker to manage the server, and designs and implements a Docker-based server management system. The implementation tests show that this system can provide efficient services as its design.
Different Project Types in Project-Based Learning on Software Development Courses in Higher Vocational Education

From the view of educational objectives, the software development courses in higher vocational colleges belong to the subjects under the working system. It is more suitable to use the project-based learning method because it can provide each student a way to construct themselves on their own. So that students are able to have a comprehensive experience of post functions. Different project sources determine different types.There are different sources for projects and itâ€™s not possible to get a conclusion which is the best one gennerally. So how to choose a proper project is not easy. According to years of practical experience in the software development specialty in higher vocational college, itâ€™s found that each kind of these project types has their own specific occasions in practice, which can offer help to act according to actual circumstances.
Perception of continuous movements from causal actions

We see the world as continuous: given stationary frames as inputs, we perceive smooth movements of objects. The perceptual construction of smooth movements depends not only on low-level spatiotemporal features, but also high-level knowledge. We examined the role of causality in guiding perceptual interpolation of motion in human actions. We recorded 6 videos of human-object interactions (a thrower directing a ball to a catcher). Stimulus onset asynchrony (SOA) was manipulated for the 200-ms period in which the catcher prepared to receive the ball. Short SOAs consisted of 6 frames (33.3 ms/frame); long SOAs consisted of 2 frames (100 ms/frame). Participants were asked to judge whether the catcher’s action showed smooth body movements or sudden changes. In Experiment 1, only the ball movement and catcher’s action were shown, with the thrower occluded. In the causal action condition the catcher was facing the ball (so the ball movement would be interpreted as causing the catcher to move his body in preparation). In the non-causal condition, the catcher was facing away from the ball. The movement of the ball was identical in the two conditions. Participants were more likely to judge the catcher’s movements to be continuous in the causal condition. The illusory percept of smooth motion was strongest when the SOA was long. In Experiment 2 the displays showed body movements of both the thrower and catcher, but occluded the ball movement (thus removing the direct cause in a causal chain of thrower-ball-catcher). Facing direction of the catcher was varied in the same manner as in Experiment 1. Once again, the catcher’s motion was judged to be continuous more often in the causal condition. The findings indicate that causality guides interpolation of body movements, thereby completing the history of the observed action despite gaps in the sensory information.
A comparative study of cell counter generated parameters and PBS findings to diagnose and morphologically classify anemia

Introduction: Anemia is most prevalent health problem in our country in all age group and present in both men and women. Correct and early diagnosis of anemia is needed in each case to start proper treatment. Objectives: This study was to find out the correlation of findings obtained automated hematology analyzer and by peripheral blood smear examination in diagnosis and morphological classification of anemia. Methodology: This study was done at a tertiary care hospital attached with a medical college for a period of 3 month during January 2019 to March 2019. It was a prospective observational study having sample size of 400 anemic samples. In all cases blood sample were collected in EDTA vaccute and than further processed for hemoglobin estimation and findings of automated hematology analyzer and peripheral smear examination noted and compared. Results: Out of total 400 anemic samples 153 samples were from Males and 247 samples were from females and in 88.75% of cases (355 out of 400) findings of both methods are very well correlated. Conclusion: Both diagnostic methods have their own importance, automated hematology analyzers are useful in mass screening and bulk of work while PBS examination is needed to diagnose RBC abnormalities and correct morphological typing of anemia.