Reviewerly/exHarmony huggingface dataset:
MeDevice: A Mobile – Based Diagnosis of Common Human Illnesses using Neuro – Fuzzy Expert System

Fever is a sign that the body is trying to fight infection.It is usually accompanied by various sicknesses or symptoms that signal another illness or disease.Diagnosing it ahead of time is essential because it has to do with human life and to determine what to do to get well.MeDevice is a mobile-based application that runs in Android devices that allows the user to enter the levels of his/her symptoms and diagnoses the disease either as influenza, dengue, chicken pox, malaria, typhoid fever, measles, Hepatitis A and pneumonia together with its details and its first aid treatment.It aims at providing an efficient decision support platform to aid people with fever in diagnosing their disease and whether or not to seek medical attention especially in developing countries like the Philippines.This application is engineered with the knowledge base and the inference method of fuzzy logic and expert system with the help of Gradient Descent optimization algorithm and back propagation neural network to achieve the optimum value of the error rate.This is essential to provide the application with a high accuracy rate which shows during the conduct of testing of the application.
Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering

Multi-view subspace clustering aims to divide a set of multisource data into several groups according to their underlying subspace structure. Although the spectral clustering based methods achieve promotion in multi-view clustering, their utility is limited by the separate learning manner in which affinity matrix construction and cluster indicator estimation are isolated. In this paper, we propose to jointly learn the self-representation, continue and discrete cluster indicators in an unified model. Our model can explore the subspace structure of each view and fusion them to facilitate clustering simultaneously. Experimental results on two benchmark datasets demonstrate that our method outperforms other existing competitive multi-view clustering methods.
Semantic Modelling of Adjective-Noun Collocations Using FrameNet

In this paper we argue that Frame Semantics (Fillmore, 1982) provides a good framework for semantic modelling of adjective-noun collocations.More specifically, the notion of a frame is rich enough to account for nouns from different semantic classes and to model semantic relations that hold between an adjective and a noun in terms of Frame Elements.We have substantiated these findings by considering a sample of adjectivenoun collocations from German such as enger Freund 'close friend' and starker Regen 'heavy rain'.The data sample is taken from different semantic fields identified in the German wordnet GermaNet (Hamp and Feldweg, 1997;Henrich and Hinrichs, 2010).The study is based on the electronic dictionary DWDS (Klein and Geyken, 2010) and uses the collocation extraction tool Wortprofil (Geyken et al., 2009).The FrameNet modelling is based on the online resource available at http://framenet.icsi.berkeley.edu.Since FrameNets are available for a range of typologically different languages, it is feasible to extend the current case study to other languages.
Smart Plastic Dustbin with Money Crediting System Promoting Digital India

It is realized that the mechanical progressions are expanding at a quicker pace.Be that as it may, the use of innovations in different areas is low.It is realized that there are no legitimate measures for waste transfer.Since the utilization of plastics is always expanding in our everyday life, there is no appropriate waste transfer for plastics.So we propose a framework where the plastics are recognized utilizing advanced picture preparing procedure.Furthermore, a mechanized cash crediting strategy is additionally utilized for expanding the plastic transfer mindfulness among open which advances computerized India.
Memorize-Generalize: An online algorithm for learning higher-order sequential structure with cloned Hidden Markov Models

Abstract Sequence learning is a vital cognitive function and has been observed in numerous brain areas. Discovering the algorithms underlying sequence learning has been a major endeavour in both neuroscience and machine learning. In earlier work we showed that by constraining the sparsity of the emission matrix of a Hidden Markov Model (HMM) in a biologically-plausible manner we are able to efficiently learn higher-order temporal dependencies and recognize contexts in noisy signals. The central basis of our model, referred to as the Cloned HMM (CHMM), is the observation that cortical neurons sharing the same receptive field properties can learn to represent unique incidences of bottom-up information within different temporal contexts. CHMMs can efficiently learn higher-order temporal dependencies, recognize long-range contexts and, unlike recurrent neural networks, are able to natively handle uncertainty. In this paper we introduce a biologically plausible CHMM learning algorithm, memorize-generalize, that can rapidly memorize sequences as they are encountered, and gradually generalize as more data is accumulated. We demonstrate that CHMMs trained with the memorize-generalize algorithm can model long-range structure in bird songs with only a slight degradation in performance compared to expectation-maximization, while still outperforming other representations.
A Survey on Access Control in Semi-Trusted Cloud Environment

Cloud computing is a powerful technology that has a major significance in today's Business world. But it cannot be fully trusted due to various security concerns. One of which is lack of secure data access control. Various techniques have been proposed to achieve secure data access control in semi-trusted cloud environment. CP-ABE algorithm is widely used to provide access control for the outsourced data in the cloud through access policies. This algorithm helps to prevent EDOS attack that involves malicious attacker's consumption of cloud resources using challenge text as an access policy. Owner-centric cloud access control using CP-ABE algorithm has been proposed to allow data owners to have complete control over the outsourced data. But a single data owner cannot manage all the tedious work loads separately, as it results in single-point of performance bottleneck. Hence multiple data owner enforced access control techniques have been proposed that helps to manage tedious workloads effectively. Another scheme namely Multi-message Cipher-text Policy Attribute-Based Encryption (MCP-ABE) technique has been proposed in light for sharing scalable media. In P2P based systems, CP-ABE algorithm along with a proxy re-encryption scheme has been for access control in cloud storage.
Opportunities of Raspberry Pi's Use in Education Raspberry

In our ever more "digitalizing" world the question arises among in IT teachers or parents often: "With what hardware / software tools and how we should integrate the studying of the use of the new technologies into the education?"In connection with this question, the lecturers selected the Raspberry Pi.The initial target group of this IT family consisted of students, but now it widely used among who want to fully understand their own computers and to make use of their specialties.The price and size of these open, mobile platform card-PC-s are a fraction of the PC / laptop, still they can be used as a full-fledged computer, from playful learning to the core of home automation.
�Medicine Locator� in Medical Store Using Voice Commands: A modern Health Care Device

Medicine plays vital role in today's life and hence the medical store. There are extreme numbers of medicines are present in medical stores and the sizes of the most of medicines are very small. Hence it is difficult to find the exact medicine easily at lager crowd. This causes wastage of the time and manpower also. Using advanced technology we can create the system which provides the automation in medical store. The paper presents the system which helps to find the location of desired medicine by glowing that particular compartmentwhere the desired medicines is present using voice commands.
Scalable Video Streaming over Wireless Access Networks

Cloud mixed media administrations give a competent, adaptable, and versatile information preparing technique and offer an illustration for the client requests of high calibre, differentiate sight and sound. As a rule, getting to sight and sound video benefits through systems is never again a problem. The real video stages, for example, YouTube and Amazon, have great administration styles and give clients to share interactive media recordings effectively with enhanced administrations. Regardless of what the administration is, clients will dependably anticipate ground-breaking, sound and stable capacities. For sight and sound recordings, solidness is of the best significance. As astute cell phones and remote systems turn out to be increasingly prevalent, organize administrations for clients are never again constrained to the home. Mixed media data can be acquired effectively utilizing cell phones; enabling clients to appreciate wherever arrange administrations.
RESEARCH OF DEVELOPMENT OF PSYCHOLOGIST-PRACTITIONERS’ REFLEXIVE THINKING ON THE BASIS PSYCHODYNAMIC APPROACH

The article studies the development of psychologist-practices’ reflexive thinking on the basis of the psychodynamic approach, which is elaborated in the works of T.S.&nbsp;Yatsenko,&nbsp; an academician of the NAES of Ukraine, and her followers. The psychodynamic approach reveals the functional patterns of the holistic psyche in their unity and, at the same time, relative independency of the conscious and unconscious spheres; it deepens understanding of the nature of psyche dysfunctions as a consequence of actuated psychological defenses. The study of reflexive thinking development was carried during deep psychological cognition of the holistic psyche. Research attention was focused on the psychological conditions for reflexive thinking development in the process of deep psychological correction with the active social-psychological cognition methods. To determine such conditions, the basic categories of the psychodynamic approach were taken into account, in particular, personal problem, psychological defenses, repression, and resistance. Based on the analyzed empirical material, the following conditions for the reflexive thinking development are highlighted: the objectification of repressed content, the weakening of integrative influences of psychological defenses, one’s individual personality changes, which are determined by the mechanisms of positive disintegration of the psyche and its re-integration at a higher level of development.&nbsp;&nbsp; The reflexive thinking development during deep psychological correction is carried out on the basis of self-organization, which is a process of self-compilation, self-ordering of a complex dynamic system. The positive disintegration is a mechanism of self-organization, which is caused by weakened integrative influences of psychological defenses. The latter helps a person to be open to a new experience, to receive feedback in a “here and now” situation. The deep psychological corrective methods are described in the context of a person’s reflexive thinking development: visualized representations, deep-corrective dialogues, interpretations. The article proves that the psychodynamic approach methodologically provides psychological conditions for psychologist-practitioners’ reflexive thinking development in the process of their deep psychological correction. &nbsp
A SYNCHRONIZED APPROACH FOR INTEGRATING PHOTOS AND 3D GIS IN THE APPLICATIONS OF DISASTER MANAGEMENT

Abstract. Photos are an effective tool for recording ongoing disaster situations or damages after hazards. The emergence of smartphones has revolutionary influences on the use of photos. Even the general public can take photos, report any disaster situations they observe via mobile network, and share photos in social media because nearly everyone has a smartphone. These photos may provide valuable information about the disaster in reality. In addition to visual inspection, effectively and efficiently taking advantage of the available photos remains an interesting challenge. From a 3D perspective, we propose a synchronized approach for integrating the visualization and manipulation of photos and 3D geographic information system (GIS) data. The photos provide newly acquired disaster situations, while the 3D GIS data provide a realistic and comprehensive reference and links to other domain data to analyze damages from different viewpoints effectively. The key idea is to restore the position and orientation when the photo is taken in the system and synchronize the visualization of both types of data with a dual-window interface. If common feature points between the photos and 3D GIS data can be found, the damage assessment can be even more accurate. This approach will be extremely useful when before-and-after situations are compared. With the awareness of environment changes and willingness of participation from citizens increase, the proposed approach presents a new direction by highlighting the use of photos for improved decision making in disaster management.
Fraud detection in internal audit: Case study

Purpose-This research is carried out to reveal the effect of internal control system in preventing fraud that may occur in the enterprises.In this context, the study conducts to determine the relationship between internal control and fraud prevention.Methodology-In order to achieve this aim, a real case is investigated by examining the elements of fraud and errors based on the environment where fraud is detected.Findings-Initially, the fraudulent situation is observed.Later, the relationship in between the fraud and fraudulent situation is detected over an internal audit process.Conclusion-All phases of a classical triangle of fraud is clearly observed in this case.
Smart Stair-Climbing Wheelchair using Tri-Wheel Mechanism for Disabled and Elderly

The proposed system consists of a wheel chair with benefits and modification to facilitate climbing of stairs through its special designed features. The project aims at developing an automatic Stair-Climbing Wheelchair, a mechanism for climbing up and down over stairs for physically disabled and elderly people. It include many features to maximize comfort, ease of use and attractiveness in the home, which is a safe and affordable solution to overcome the needs and challenges that people experience on the stairs.A unique mechanism for climbing stairs, used here is a tri-wheel mechanism, due to its simplicity and ease of design.The triwheel mechanism can be easily fabricated, thereby reducing the total cost of fabrication of wheelchair.The tri-wheel mechanism for stair-climbing wheelchair makes it easy to climb up and down on stairs.The smart wheelchair is designed to assist disabled and elderly people leading to a higher quality, more independent lifestyle.
New Real-time View Synthesis Method Using Spatiotemporal Background Information

Real-time virtual view synthesis technique has been widely used in kinds of 3D television systems. The image distortion is its main problem for lack of reference information in image inpainting process. This paper proposes a new view synthesis method to solve this problem based on DIBR techniques. First, four common real-time hole-filling algorithms are tested and analyzed, the proposed method automatically selects different algorithms depending on the size of the hole to be filled. Then, a process called depth erode is designed to remove the pixels around boundaries between foreground and background in the reference image. These pixels are hard to be correctly segmented and cause artifacts in synthesized views. Finally, a structure called Background Table is proposed to extract and store spatiotemporal background information. The background table is updated simultaneously and gives a quick access to background information. The usage of spatiotemporal background information increases the reference information in image inpainting process and greatly reduces inpainting distortion. Our experimental results show that the proposed method has excellent subjective and objective performance over state-of-art methods.
Kyoto University Participation to the WMT 2019 News Shared Task

We describe here the experiments we performed for the news translation shared task of WMT 2019.We focused on the new Germanto-French language direction, and mostly used current standard approaches to develop a Neural Machine Translation system.We make use of the Tensor2Tensor implementation of the Transformer model.After carefully cleaning the data and noting the importance of the good use of recent monolingual data for the task, we obtain our final result by combining the output of a diverse set of trained models through the use of their "checkpoint agreement".
Implementasi Function Point Analysis Untuk Pengukuran Kualitas Situs (Studi Kasus: Alibaba.com)

To find out about how complex and useful a software is, a measurement needs to be done toward the software itself to found its complexity and its usefulness. From few methods that used for measuring a software, Function Point Analysis is most popular method to do the measurement, which measures a software from its functionality. From this research, three factors that very decisive were calculated, those are Crude Function Points (CFP), Relative Complexity Adjustment Factor (RCAF), and the Function Point (FP) calculation itself. This software measurement marks its end of the research at the point of doing a single transaction with the application. The results that came out with the calculation are Crude Function Points (CFP) with 183, Relative Complexity Adjustment Factor (RCAF) with 31, and the Function Point (FP) itself with 175.86, which shows that this web-based application is quite complex.
Systematic Review of Literature Focusing Internet of Things (IoT) Utilization for Upcoming Industry 4.0

It is necessary to study existing research challenges and approaches before initiating proposed research pilot development. In this paper we analyzed papers from various high indexed journals. Our aim is to depict filtered results as an outcome of rigorous reviews of framework, algorithms and methods. As software cost estimation is hot issue to maintain overall estimate employed for existing systems. This paper will definitely prove latest research thread which can be used as a reference solution for future development. Researchers working on similar domain of research can use shortlisted research papers as a pilot domain reference for future development.
Impact of Belief and Values in the Development of the Person's Attitude and Behavior

The point of view of a subject that people notice in the view of it is its viewpoint. Person’s perspective is born from the person's angle of views. One’s behavior or habit is developed on human values. People have a positive attitude on the subject, because they use or practice it.
FUTURE PSYCHOLOGISTS’ SELF-ATTITUDE AS A FACTOR OF PROFESSIONAL SELF-DEVELOPMENT

The peculiarities of future psychologists’ self-attitudes are considered as an important factor in their professional self-development. Self-attitude is a certain stable feeling towards e personal Self, which contains a number of specific modalities (measurements) that differ both in emotional tone, experience, as well as in the semantic sense of the corresponding attitude to oneself. The structure of self-attitude is described; it is represented by the emotional component (self-perception) and the self-estimating component. The basic functions of self-attitude are revealed: self-reflection, self-expression and self-realization, preservation of internal stability and continuity of Self, self-regulation and self-control, psychological protection, and intra-communications. The experimental study included the following methods: questionnaire on self-attitude of V.V.&nbsp;Stolin and S.R.&nbsp;Pantylieiev; self-actualization test of E.&nbsp;Shostrom; author's technique of indirect measurement of self-assessments to determine a character of the respondents' emotional and appraisal attitude towards their own professional self-images; D.&nbsp;Campbell’s Self-Concept Clarity Scale. It is experimentally proved that future psychologists’ self-attitude is characterized mainly by an average level of self-acceptance, self-management, openness, self-confidence. The future psychologists imagine their personality, character and activities mostly with respect and sympathy; they are interested in personal Self, have a sense of the value of their own personality. They are characterized by increased reflection, deep penetration into oneself, awareness on their own difficulties, adequate self-images and absence of suppression. Sometimes, the future psychologists are characterized by their self-concept rigidity, fixation, and the reluctance to change oneself against the background of a general positive attitude towards oneself. Some students are characterized by self-accusation, readiness to blame themselves for their failures or drawbacks, lack of sympathy for themselves. &nbsp
Fine Needle Aspiration Cytology: A Reliable Tool for Diagnosis of Spectrum of Breast Lesions in females in a Tertiary Care Teaching Hospital in Chamba District

Introduction: Breast or mammary gland is under the influence of hormones resulting in physiological changes throughout reproductive life and thereafter various structures give rise to different lesions. FNAC can be used as an OPD procedure in diagnosis of breast lesions without the need to hospitalize the patient.Aim: To study the spectrum of breast lesions.Methods: Breast Lump is the commonest presenting symptom in various types of Breast lesions ranging from inflammation to carcinoma.Result: The most common lesion encountered in our study on FNAC was fibroadenoma (49.24%) followed by benign proliferative mammary lesion 15.15%.Tuberculous mastitis was 3.78%.Malignancy was 7.57% Conclusion: Benign breast lesions form the bulk in this study and fibroadenoma is the most common lesion.FNAC is useful and reliable in early diagnosis of neoplastic and non-neoplastic lesions avoiding the need of biopsy.It has an important role in rural and semi-urban areas with fewer facilities and for the poor.
Factors Affecting Students’ Difficulties in Speaking Performance of The Tenth Grade Students of SMA Negeri 1 Tiworo Kepulauan

Students’ speaking performance could be affected by factors that come from performance conditions (time pressure, planning, standard of performance and amount of support), affective factors (such as motivation, confidence and anxiety), listening ability, topical knowledge and feedback during speaking activities. The purpose of this study was to analyze, describe and determine factors affecting students’ difficulties in speaking performance of the tenth-grade students of SMA Negeri 1 Tiworo Kepulauan. This study employed quantitative design in the form of survey. The samples were 30 students of X MIA 2 which were taken by using random sampling. The data were collected by using close ended questionnaire and were analyzed by using SPSS version 16. The results of this research showed that of the three factors affecting students’ difficulties in speaking, the highest percentage was linguistic factors including grammar, vocabulary and pronunciation. It was concluded that the students got difficulties in performing speaking task. Keywords: Speaking Performance, Students’ Difficulties